diff --git "a/src/original_data_profile.html" "b/src/original_data_profile.html"
new file mode 100644--- /dev/null
+++ "b/src/original_data_profile.html"
@@ -0,0 +1,3053 @@
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+ <script> let g_snapped = "";
+// let g_lastHovered = "";
+
+function hideAllDetails()
+{
+ $(".container-feature-detail").hide();
+ $(".container-df-associations").hide();
+ $("span.bg-tab-summary-rollover").hide();
+ $("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
+ $("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
+}
+
+
+// GLOBAL EVENTS
+// ---------------------------------------------------------------------------------------------------------------------------
+// EVENT: [ANYWHERE] RIGHT-CLICK REMOVES SELECTION
+// $(document).contextmenu(function() {
+// if (g_snapped != "")
+// {
+// g_snapped = "";
+// hideAllDetails();
+// }
+// if (g_lastHovered != "")
+// {
+// $(g_lastHovered).show();
+// //alert("#"+g_lastHovered);
+// }
+// return false;
+// });
+
+$("span.bg-tab-summary-rollover").hide();
+hideAllDetails();
+
+$(document).ready(function() {
+// INITIALIZATION
+// --------------------------------------------------------
+hideAllDetails();
+$("span.bg-tab-summary-rollover").hide();
+
+// Make the detail column the same height, so the floating element has room
+//$("#col2").height($("#col1").height());
+$("#col1").height(g_height);
+$("#col2").height(g_height);
+//alert($("#col1").height());
+
+// SUMMARY AREA
+// --------------------------------------------------------
+// EVENT: SUMMARY ROLLOVER
+// $(".selector, .container-feature-summary-target").hover(
+$(".selector").hover(
+// ENTER function
+function(event) {
+ if(g_snapped=="")
+ {
+ // Rollover start!
+ $(".container-feature-detail").hide();
+ $("span.bg-tab-summary-rollover").hide();
+ $("#" + $(this).data("detail-div")).show();
+ $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
+ $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
+ $("#" + $(this).data("rollover-span")).show();
+ }
+ // g_lastHovered = "#" + $(this).data("detail-div");
+ },
+// EXIT function
+function(event) {
+ if(g_snapped=="")
+ {
+ // Rollover end!
+ hideAllDetails();
+//FBFB $("#" + $(this).data("detail-div")).hide();
+ }
+ }
+);
+// EVENT: SUMMARY CLICK
+// $(".container-feature-summary, .container-feature-summary-target").click(function(event) {
+$(".selector").click(function(event) {
+ // No matter what, we should deselect the associations buttons
+ $("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
+ $("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
+
+ // alert($(this).parent().attr('id'));
+ let this_to_snap=$(this).parent().attr('id');
+
+ if(g_snapped == this_to_snap)
+ {
+ // "Unselect"
+ $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
+ $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
+ g_snapped = "";
+ }
+ else if (g_snapped == "")
+ {
+ // "Select"
+ $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
+ $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
+ g_snapped = $(this).parent().attr('id');
+ //$("#" + $(this).data("detail-div")).show();
+ //$(g_lastHovered).show();
+ // alert(this.parent().id);
+ }
+ else if (g_snapped !== this_to_snap) // implied
+ {
+ // "Select" while another was previously selected
+ $("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
+ $("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");
+
+ $(".container-feature-detail").hide();
+ $("span.bg-tab-summary-rollover").hide();
+ $("#" + $(this).data("detail-div")).show();
+
+ $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
+ $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
+ $("#" + $(this).data("rollover-span")).css("display","inline");
+ g_snapped = $(this).parent().attr('id');
+ }
+/*
+ if (g_snapped != "")
+ {
+ $('html,body').animate(
+ {scrollTop: $("#" + g_snapped).offset().top},
+ 'fast');
+
+ }
+
+ */
+}
+);
+/*
+$(window).scroll(function(e){
+ var $el = $('.container-feature-detail');
+ $el.css({'position': 'fixed', 'top': '0px'});
+
+});
+function fix_scroll() {
+ var s = parseFloat($(window).scrollTop()) / 0.6;
+ var fixedTitle = $('.container-feature-detail');
+ fixedTitle.css('position','absolute');
+ fixedTitle.css('top',s + 'px');
+}fix_scroll();
+
+$(window).on('scroll',fix_scroll);
+*/
+
+// ---------------------------------------------------------------------------------------------------------------------------
+// SPECIFIC BUTTONS
+// ---------------------------------------------------------------------------------------------------------------------------
+// SUMMARY: ASSOCIATIONS -> HOVER
+// --------------------------------------------------------
+$("#button-summary-associations-source, #button-summary-associations-compare").hover(
+ // ENTER function
+ function()
+ {
+ if(g_snapped=="")
+ {
+ hideAllDetails();
+ $("#" + $(this).data("detail-div")).show();
+ // $("#df-assoc").show();
+ //$("#df-assoc").show();
+ }
+ // g_lastHovered = "#df-assoc";
+ },
+ // EXIT function
+ function()
+ {
+ if(g_snapped=="")
+ {
+ hideAllDetails();
+ }
+ });
+
+// SUMMARY: ASSOCIATIONS -> CLICK
+// --------------------------------------------------------
+$("#button-summary-associations-source, #button-summary-associations-compare").click(function(event) {
+ // Quick hack: just remove the selected state to both buttons and restore if needed
+ $("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
+ $("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
+ let this_to_snap=this.id;
+ if(g_snapped == this_to_snap)
+ {
+ // DESELECT/HIDE ASSOC
+ // --------------------------------------------------------
+ g_snapped = "";
+ }
+ else if(g_snapped=="")
+ {
+ // SELECT/SHOW ASSOC (Hide other one if already shown)
+ // --------------------------------------------------------
+ //$(".container-feature-detail").hide();
+ //alert("#" + this.id+" GS:"+g_snapped);
+ //$("#df-assoc").show();
+ g_snapped = this.id;
+ $(this).addClass("button-assoc-selected");
+ }
+ else
+ {
+ // SWAP to OTHER ASSOC: DESELECT old, select new
+ // --------------------------------------------------------
+ $("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
+ $("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");
+ hideAllDetails();
+ $(this).addClass("button-assoc-selected");
+ g_snapped = this.id;
+ $("#" + $(this).data("detail-div")).show();
+ }
+// $(this).addClass("assoc_active");
+});
+
+
+// DETAIL GRAPH BUTTONS
+$(".button-bin").click(function() {
+ which_id = $(this).attr('data-target');
+ $("#"+which_id).attr('class', $(this).attr('data-new_class') + " pos-detail-num-graph");
+});
+
+
+}); // $(document).ready(... </script>
+ <style> span.icon-expand { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAALRJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DNRAMqLfbjkRcYzYeDJh8ixxk6cMAizkgtCw9gsYwBbwan0EJHLD4+gEV8NNEMrlSKr0hjpLYPH0CLp/n4iikcRdp8JDMGvnpiJNBqc0DKc8SCDUB8AWdcjDYTRy0kFQAEGAAqdjq/C2RykQAAAABJRU5ErkJggg==);}
+span.icon-categorical { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAOFJREFUeNpi/P//PwM9ARMDncGohVQHLHjkHKAYHTwA4gVQdgIQK2BRcwCKMQEolWLBCf/xgwYoxgcSsJmNy4cwVxcC8QUkcQMg7gdieyQxXGoUSA1SBqhBB6igZjSVwkE8WkqVJ1MNwVTqAMTv8aTA/VCMC7yHmoFhNiOewlsBms8YcORFBlwpEZpPHwwKH7LgKWUEoC59iBY/CVh8g02NA7bsQijRLETT5IDFQmLUjOZDlHIRH59YNQQthCXpfhzyB5Hiq5+AGURZCMtHhOrDB6TWh4yjrbZRCwe9hQABBgAyc1dqBJEdOQAAAABJRU5ErkJggg==);}
+span.icon-collapse { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAJxJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DPRCMwmg8HTT6E5x4i1TFSy8ID9Pah42iiGZIWfqCnhQ+gxdN8fMUUjiJtPpIZA189MRJotTlAMSlgAxBfwFkyjDYTRy0kFQAEGAD+JDS/pyABgwAAAABJRU5ErkJggg==);}
+
+span.bg-tab-summary { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
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+/* used in assoc */
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ySJZn4EqSCtPbnSOjt0n9vkJ8Wv/jajtl1DXu83/bTRWC18Ps1Zb8+rRH84mz9w2uNbxb2a29v42sWRyyHIblZsqTJped11jaSOcllSrZzfC8wZ5HZt7Ky8vEb9+3vL4+cPXv2+JkzG8fT/Os+3enrP81Kfkq1d19SsR3Tku3U4hjtbZDU4bujXi/p2M+X/vk+S4P7w6MUziflE0zE5oEZv3Ec15N+sjT2B+Lcj8JlRhqnZXGwz10atFl/u/ePEhse4XDfYP/+1W09bL19fjq47XYvvHtm48zxl489//Xcvny4LCSXnwee/2Xijkcx655FtpsYwYTWhGaaph/GZn+xVZiX5zVM0W02AbBNt+7kH1111d7khhv3/c+pU99+9MRrrw4vPZcWgnK4FA/T3ZFtB+aBg4eyo0cOV12os+owWcAbcgAAZmRhYeHGW2657W97b9x++8Trx48lF0cnLySXH4H60chlv/36DRgsMMveW5Z8nB+99M4TAABgxtI03b1//82P9gLzdwafGp7nOTxXs5vUdFh0qEl+nIMJAAAQiaXl5Tt7Nyu5uFwaxOVicnGQcHiY7MxmkR0Vmg6RBQAAiMfuQVT2J/g5N4jL/Ay2Q1Of5GfUqGXxAp4AAADM3sogLM8NWnAYmGWRuSN1jGCOurgnAAAAcbiityzn4rI4ghnVIbL5yDSCCQAAEJfh9TY7SfXhsRPZSWBmhRUwggkAABC/YVwWD4stjcydXKpk0suUlMWlczABAADiDMyyuKz1G0xqi8uUGMgEAACIQD8sF0cE5swn+ckK97uJy5QAAADEGphJiLCsKzDzcVk8TNbQJQAAQFzSip5Lig037vmXYwdm/xv0T/SsiMukEJdGMAEAAOJW68BgZ4KVyCo+ZxZZAACAeIMyWK91aly54iimEUwAAIC44rLsNprAHBWbRjABAADiCsxuMvIqIHEEZtX1MAEAAIgnMMvu16auQ2TL4tIIJgAAQFyBudXo5UQd1wm8okkmMwEAAGILzKo/n0hnwpUbtcIOkQUAAIgzMMsma51YJ9AKfrhkhi8BAABiDsza4rKOwCxb2eElStQlAABAPPKtFuRSJWaRBQAAaIfgl5bsTLBiaUlcJonrYAIAAMQemEkSYCbZsQPzwMFD2dEjh9OSFS2uoBFMAACAOAOzatLWidQxyU9xZZPECCYAAECsgZkkgY48nfQyJWmyvYt1AgAAEEdgZiWfn3lgVq1wN7cAAAAQX2BWXapkotis+zIlo6oYAACAuAKzVp0aV7IsMgEAAIgvMEf13IeTu84qMKdWwwAAAMTbbHXOIltcaedgAgAAxBWYSRJwQLBT44oawQQAAIg7MLsh+62uczCrQlNnAgAAxBOYQQPNLLIAAADt0C1ptlq7bZLA7K9IOiIunYMJAAAQl6ADgiFmkc3dN4gJAAAQiW4y+jKTEwdc3edgBi9iAAAAdtxuWUVk1qKOy5SkFeUrMAEAAOILzCREXNYRmKNqWGACAADEF5hxnYN54OCh7OiRw+k2VhoAAIA4A7Os3SbquE6AFR1+bBZZAACAOAOz7M8m1pnySgMAADDbwExCNVvds8g6BxMAACDuwAw20U/dk/wkAhMAACD6wAxyqZI6z8Esi0wAAADiCcygvdYJsMJGMAEAAOIMzGzEx8UQnXpg9r9xWlLDE60UAAAAwQKzLCyjnUX2oxXPJCYAAECMkVn1Z1EF5mVFLDIBAACii8sgpzd2alxJs8gCAADEqxu61UKMYCYCEwAAIFrBBgV3HJgHDh7Kjh45nG4RmQAAAMQVlsEYwQQAAGhXYGah2q1T88pestKmkQUAAIgyMJMkpkNkK+IyCVHBAAAA1BaYVQ0XTWBuZ4UBAACYbWAGbbWgh8hqTAAAgKgCs2yJMjCnUsQAAABMFJhVHRddYAZZSQAAAGoLzGBz5nRqWsm0YqUBAACIJzBHfRxFYJatoMAEAACILzBHXapk4obr1LyiSeI8TAAAgNgjM4hOwJUGAAAgrrjcKjQnarmJAvPAwUPZ0SOHq86/FJkAAABxBWZZq5lFFgAAgB0FZrB+6wRcaYEJAAAQX2AGO/K0YxsDAAC0JjCTpCGT/GznhFEAAADmNDJDXAfTZUoAAADijMvGXqZEYAIAAMQVmEG7zTmYAAAA7QnMoKOYnRpXNC1ZaQAAAOIKzLLPRxWYZSsmMAEAAOIMzSA6TVthAAAAdtxpWcn9KAMzq7gFAAAgnsAMduRpqENkxSUAAEB8gRlUp6aVTGex8gAAAOwoMqOeRVZYAgAAxB+XWUVk1tJxISf5yTKpCQAAEFNgBtVp8soDAAAwVqOVTfQTbWAGXVkAAABqb7hoA7OwojoTAAAgopgsGxCsLdw6tjEAAECrAjNJAh152ql5ZdOQKwsAAEAt7TbO52cSmLWtFAAAAEFaLWivmUUWAACgPYEZtNU6gVccAACAOCMz6nMwAQAAiD8ug+nUuKJpSREDAAAQT2AGPQ+zE2CFU3EJAADQmOiMNjCDrSgAAAATN1rQUUznYAIAALQnMEd9HHVgGsEEAACIOzIbEZjiEgAAIM64bNx1MAEAAIgvMMsis7bg7ARa6aBVDAAAQHwcIgsAANAOjbsOJgAAAM0JToEJAABALUFZa2R2AqxwGqqGAQAAmKjXgh4m26l5ZVOPGQAAQCPjM6rALFYxAAAAcUVk0FbrBF55AAAAWsIkPwAAAO3QqHMwAQAAaLHAh8g6ShYAACASwQPNCCYAAEC7IjMLFZydgCudZAYwAQAAYorLoMwiCwAA0L7INMkPAAAAccalwAQAACDqwOzXcGrTAgAARKXs+pe1jmYawQQAAGhfaAZhkh8AAABhGXVgOkwWAAAg3sg0iywAAAC1x2a0gWnkEgAAoCVBGTowAQAAiDsyg80kKzABAADaE5dBmUUWAACA6AMTAACAeJQdHiswAQAAiI/ABAAAIOrAdLkSAACAuGS52yCHyhrBBAAAaF9kBiEwAQAAxGX0gekyJQAAAC1iBBMAAIBoA9MEPwAAAPEpTu5T+1GnnfDrDwAAQGShGYRDZAEAABCYAAAAbFujZ5EFAACgRbEpMAEAAISlwAQAAGDsuGzkJD+mkAUAAGhGdEYfmAAAALRI0MDMjGECAADEIkucgwkAAEATCEwAAACiDsz+sGtq8wIAAAhMAAAA5kuWBD4PU2ACAAAgMAEAABCYAAAACEwAAAAaKKu4LzABAACYKDIFJgAAAHESmAAAAAhMAAAAti0L/Q0EJgAAAAITAACAdgRmZvMCAABEJeilSjrTW3cAAAAii8wmBSYAAADzHpYCEwAAAIEJAACAwAQAAEBgAgAA0GDOwQQAAKAZBCYAAAACEwAAgLEEPUxWYAIAACAwAQAA2DaT/AAAANAMAhMAAACBCQAAwNiCHSorMAEAABCYAAAAtCQws8wGBgAAiERWcb8ZgQkAAEC0kSkwAQAAiJPABAAAQGACAAAgMAEAABCYAAAAIDABAABoZmC6ECYAAIDABAAAYJ4EHwEUmAAAAAhMAAAABCYAAAACEwAAAAQmAABAmwWd6EdgAgAAIDABAAAQmAAAAEyX62ACAADQDAITAACgXYKNZApMAAAABCYAAAACEwAAAIEJAABAA5lFFgAAgGYQmAAAAAhMAAAAxhL0MFmBCQAAgMAEAACgJYGZZTYwAABAJMwiCwAAQDMITAAAAJoQmI6RBQAAEJgAAAAgMAEAABCYAAAACEwAAAAEJgAAAAhMAAAABCYAAAACEwAAAAQmAAAAsQXmgYOHKv/s7Nn3bGEAAACBCQAAwLwYNTgoMAEAAIiKwAQAAEBgAgAAIDABAAAQmAAAACAwAQAAEJgAAAAITAAAAAQmAAAACEwAAAAEJgAAAAITAAAAgVm3zBYGAAAQmAAAACAwAQAAmKfAzBwhCwAAIDABAABAYAIAACAwAQAAEJgAAAAITAAAABCYAAAACEwAAAAEJgAAAAhMAAAABCYAAAACEwAAAIEJAAAAAhMAAACBCQAAgMAEAABAYAIAAIDABAAAQGACAAAgMAEAABCYAAAAEHtgZrYwAACAwAQAAACBCQAAgMAEAABAYAIAACAwAQAAQGACAAAgMAEAABCYAAAAMJ3AzDIbGAAAQGACAACAwAQAAEBgAgAAIDABAAAQmAAAACAwAQAAEJgAAAAITAAAABCYAAAACEwAAAAEJgAAAAITAAAABCYAAAACEwAAAIEJAACAwKxLZgsDAAAITAAAABCYAAAACEwAAAAEJgAAAAITAAAABCYAAAACEwAAAIEJAAAAAhMAAACBCQAAgMAEAABAYAIAAIDABAAAQGACAAAgMLPMBgYAABCYAAAAIDABAAAQmAAAAAhMAAAABCYAAAAITAAAAAQmAAAAAhMAAACmFpiZLQwAACAwAQAAQGACAAAgMAEAABCYAAAACEwAAAAQmAAAAAhMAAAABCYAAAAITAAAAAQmAAAAAhMAAACBCQAAAAITAAAAgQkAAIDABAAAQGACAACAwAQAAEBgAgAAIDABAAAQmAAAABBzYGaZDQwAACAwAQAAQGACAAAwZ4HpGFkAAACBCQAAAAITAAAAgQkAAIDABAAAQGACAACAwAQAAEBgAgAAIDABAABAYAIAACAwAQAAEJgAAADMwuY8BObZ3rLisQQAAJip/52HwOz/T9zisQQAAJipF+YhMJ8WmAAAADP3d/MQmF/sLb/qsQQAAJiZc2trVz+RZVmzA7P/P7G+/s57vbu7PaYAAAAz8aVpfaNpzCL7SG/5e48pAADATPzu3ATm2trV/7C+/s7J3t3P9ZZf99gCAABMxTu95fO9Jjs5N4E5iMyv9G6+0gvNz/duH+4tD/WWOwbL1R53AACAiWPyxd7Sj8lTveWJXoe9OO2V+H/5vrcWXObqAQAAAABJRU5ErkJggg==);}
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+ <style> @font-face
+{
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format('truetype');
+}
+@font-face
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format('truetype');
+}
+@font-face
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mgACAHcAAATTBbAAGwAfAWYAshoAACuyFRYZMzMzsgcCACuyCAsMMzMztAABGgcNK7MCERwdJBczsQAE6bMUFxgbJBcytAUEGgcNK7MDEB4fJBczsQUF6bMGCQoNJBcyAbAgL7Aa1rQZDAAbBCuwGRCxFgErtBUMABsEK7IVFgors0AVEwkrswgVFggrtAcMABsEK7AHL7QIDAAbBCuyBwgKK7NABwQJK7AVELELASu0DAwAGwQrsSEBK7A2Gro+0fPBABUrCro+y/OfABUrCrAaELMCGgcTK7MDGgcTK7MGGgcTK7AZELMJGQgTK7AWELMKFgsTK7AVELMNFQwTK7MQFQwTK7MRFQwTK7MUFQwTK7AWELMXFgsTK7AZELMYGQgTK7AaELMbGgcTK7AZELMcGQgTK7AWELMdFgsTK7MeFgsTK7AZELMfGQgTKwNAEAIDBgkKDRARFBcYGxwdHh8uLi4uLi4uLi4uLi4uLi4usEAaADAxEzUhEyE1IRMzAyETMwMzFSMDMxUjAyMTIQMjEzchEyF3AQlF/v4BHVKPUgEIUpBSzOdF4ftQkFD++FCPUKkBCEX++AGaiQFiiwGg/mABoP5gi/6eif5mAZr+ZgGaiQFiAAAAAQBu/zAEEQacACsAngCyKQAAK7AmM7EEA+myKQQKK7NAKSgJK7IQAgArsBMzsRoD6bIQGgors0AQEQkrAbAsL7AN1rEdDumwACDWEbEBDumwHRCxEAErtBMMABsEK7AoINYRtCcMABsEK7ATELEHASuwFzKxIw7psBYysS0BK7EoHRESsAs5sScQERKyCgQaOTk5sQcTERKwIDkAsRoEERKzAA0WIyQXOTAxEzMUFjMyNjU0JicuATU0Njc1MxUeARUjNCYjIgYVFBYEHgEVFAYHFSM1LgFuuZKGg5aBmdXDv6eVqLu4hnJ3foUBMatRy7eUutMBrYuWfm1cfjNB0aGk0hTb3BfszY2me25meWN3nmqpzhO/vxHnAAAFAGn/6wWDBcUADQAaAB4AKgA4AJgAsikAACuxLgTpsgQCACuxGATptDUjKQQNK7E1BOm0EQspBA0rsREE6QGwOS+wANa0DgwAGwQrsA4QsRQBK7QIDAAbBCuwCBCxHwErtCsMABsEK7ArELExASu0JgwAGwQrsToBK7EUDhESswsEGx4kFzmxMSsRErUcIiMoKR0kFzkAsTUuERKxGx45ObEYERESsRwdOTkwMRM1NDYzMhYdARQGIyImNxQWMzI2PQE0JiIGFRMBFwElNTQ2IBYdARQGICY3FBYzMjY9ATQmIyIGFWmng4Wlp4GCqopYSkdXVpRWYwLHaf05AW+nAQaop/78qopYSkhWV0lHWQRSRoOqq4hHhKenhE5lYlVJTmZmUvwcBHJC+46vSIOpqItHg6mnhU9lY1VKT2RjVAAAAAADAGX/7ATzBcQAHgAnADMAiQCyGAAAK7IcAAArsSIG6bIJAgArsTEG6QGwNC+wANaxHw7pswYfAAgrsSgO6bAfELEuASuxDAzpsAwQsRMBK7EUDOmxNQErsSgfERKwAzmwLhG0CRwiJRAkFzmwDBKwJDmwExGxERk5ObAUErEWGDk5ALEiGBESsBk5sDERtQAGDBYlKiQXOTAxEzQ2Ny4BNTQ2MzIWFRQGDwEBNjUzFAcXIycOASMiJDcUFjMyNwEHBhMUFzc+ATU0JiMiBmV1pWFCxKiWxFlvawFERKd70N5hSsdn1f7+uZmFk3r+nSGnd3Z2RDJkTFJgAYdpsHV2kEemvK+FWJVST/59gp//qPlzQkXiuXaOcAGpGHsCX2CQUzBXPkNZbwAAAAABAGcEIQD9BgAABAAuALAAL7QBCgAJBCsBsAUvsAHWtAIMABsEK7QDDAAbBCu0BAwAEAQrsQYBKwAwMRsBMxUDZwGVFQQhAd9v/pAAAQCF/ioClQZrABEAEwABsBIvsADWsQkO6bETASsAMDETNBoBNxcGAgMHEBMWFwcmJwKFefCBJpK7CQGNVXUmhXnsAk/iAaABVEZ6cP40/uNV/n7+5KpgcUquAVQAAAAAAQAm/ioCNwZrABEAEwABsBIvsAPWsQ0O6bETASsAMDETNhITNTQKASc3FhoBFRQKAQcmmrsCWJ1iJ4Tvd3XxhP6bdgHxAS8g0gFpAR5QcUn+qv5k69/+Z/6mSQABABwCYQNVBbAADgAjALIDAgArAbAPL7AC1rQFDAAbBCuxEAErsQUCERKwCzkAMDETNwUDMwMlFwUTBwsBJxMcLgEuCZkKASku/s3GfLq0fckEMZdwAVj+o26YW/7xXgEg/udbARQAAAEATgCSBDQEtgALAFIAsAAvsAczsQEJ6bAFMrIAAQors0AACgkrsgEACiuzQAEDCSsBsAwvsArWsAIysQkO6bAEMrIJCgors0AJBwkrsgoJCiuzQAoACSuxDQErADAxEzUhETMRIRUhESMRTgGWugGW/mq6Al6vAan+V6/+NAHMAAAAAAEAHf7eATQA2wAIACUAsAgvtAMKAAkEKwGwCS+wAtaxBQ7psQoBK7EFAhESsAg5ADAxFzY3NTMVFAYHHV4EtWNL2oOLp5Flyj0AAAABACUCHwINArYAAwAiALAAL7EBBumxAQbpAbAEL7EAASu0AxEACQQrsQUBKwAwMRM1IRUlAegCH5eXAAABAJD/9QF2ANEACQApALIIAAArsQMK6bIIAAArsQMK6QGwCi+wANaxBRHpsQUR6bELASsAMDE3NDYyFhUUBiImkDlyOztyOWEwQEAwLj4+AAEAEv+DAxAFsAADABEAsgECACsBsAQvsQUBKwAwMRcBMwESAmCe/aF9Bi350wAAAAIAc//sBAoFxAANABsAOgCyCwAAK7ERBumyBAIAK7EYBukBsBwvsADWsQ4O6bAOELEUASuxCA7psR0BK7EUDhESsQsEOTkAMDETNRASMzISExUQAiMiAhMUFjMyNjcRNCYjIgYHc97t694D3uzp4LWJi4mFA4SPjoICAlT3AUEBOP7T/sbw/rv+xAE1AS/s4dTkAS/r19beAAAAAAEAqgAAAtkFtwAGAD4AsgUAACuyAgIAK7MABQIIKwGwBy+wBdaxBA7psgUECiuzQAUBCSuxCAErsQQFERKwAjkAsQIAERKwBjkwMRM1JTMRIxGqAhIdugRIqMf6SQTRAAEAXQAABDMFxAAXAGsAsgwAACuxCQbpsgMCACuxFAbpshQDCiuzQBQACSsBsBgvsADWsRcO6bAXELERASuxBg7psgYRCiuzQAYLCSuyEQYKK7NAEQwJK7EZASuxERcRErEDCTk5ALEJDBESsA05sBQRsQYROTkwMRM0JDMyFhUUCQEhFSE1AT4BNTQmIyIGFV0BA9nL7P7u/noC2/xGAfhwVYpzipkEA8n41bHX/tf+WZeFAjB/n1Vykp2MAAAAAAEAXv/sA/kFxAAmAIMAsiUAACuxBAbpsgQlCiuzQAQACSuyGQIAK7ESBumyEhkKK7NAEhYJK7QMCyUZDSuxDAbpAbAnL7AA1rAWMrEBDumwFTKwARCxBwErsSIO6bAQINYRsRwO6bEoASuxEAERErUECxkfJCUkFzkAsQsEERKwIjmwDBGwHzmwEhKwHDkwMRMzFBYzMjY1NCYnIzUzPgE1ECMiBhUjNDYzMhYVFAYHHgEVFAQgJF66ln6GjpyTi4uDlv94j7n9w87qe2p4g/8A/mb+/wGAc4qMg3+IApcChnIBAIlxreXawl+yLCawf8Tm3gACADUAAARQBbAACgAOAFgAsgkAACuyAgIAK7QACwkCDSuwBDOxAAbpsAYyAbAPL7AJ1rAMMrEIDumwAzKyCAkKK7NACAYJK7IJCAors0AJAAkrsRABKwCxCwARErABObACEbANOTAxEzUBMxEzFSMRIxElIREHNQKMxcrKuv47AcUWAVJtA/H8OZf+rgFSlwLKKAAAAQCa/+wELQWwAB0AlACyGwAAK7EEBumyBBsKK7NABAAJK7IPAgArsRII6bQVChsPDSuxFQjpAbAeL7AA1rEBDemwARCxBwErsRgO6bEfASuwNhq6P5z48wAVKwqwDy4OsA7ABbESDfkOsBPAALEOEy4uAbMODxITLi4uLrBAGgGxBwERErINFRs5OTmwGBGxEBE5OQCxCgQRErENGDk5MDETMx4BMzI2NTQmIyIPAScTIRUhAzYzMhIVFAIjIiaarxGQdoGTn4R5RTGUSgLq/bMsa4jH6vPawfQBf31/sJuSsTUoJgLWq/5zP/754OH+/dYAAAIAhP/sBBwFsQAUACEAWACyEgAAK7EYBumyBAIAK7EHA+m0DB4SBA0rsQwD6QGwIi+wANaxFQ7psAoysBUQsRsBK7EPDumxIwErsRsVERKyBQwSOTk5ALEeGBESsA85sAwRsAo5MDETNRAAJTMVIwYEBzYzMhIVFAIjIgA3FBYzMjY1NCYjIgYHhAFXAVMhItj/ABRzx77j9c7R/vy6onl9j5F4X6AfAipHAZIBqQWdBPjhhP701OH+8gFB6LTcuJWWuXJWAAAAAQBNAAAEJQWwAAYAIgCyBQAAK7IBAgArsQAG6QGwBy+xCAErALEBABESsAM5MDETNSEVASMBTQPY/aXCAlkFGJho+rgFGAAAAwBw/+wEDgXEABcAIQArAHcAshUAACuxGwbpsgkCACuxKQbptCUhFQkNK7ElBukBsCwvsADWsRkO6bAGINYRsSIO6bAZELEeASuxEg7psCcg1hGxDA7psS0BK7EnIhEStgkDFRsgIQ8kFzkAsSEbERKxEgA5ObAlEbEDDzk5sCkSsQwGOTkwMRM0NjcuATU0NjMyFhUUBgceARUUBiMiJhIUFjMyNjU0JiIDFBYyNjQmIyIGcIFyYXDswcDtc2Jyhf/Q0v25k4OClJv6dYXehYpqbYcBiXa+MTCqbLjY2LhtqjAxvHe94OEBPPiOj3t6mgGQb4mJ3oyHAAAAAgBk//8D+AXEABcAJABZALIMAAArsQ0D6bIEAgArsSID6bQUGwwEDSuxFAbpAbAlL7AA1rEYDumwGBCxHgErsBEysQgO6bEmASuxHhgRErMLBAwUJBc5ALEbFBESsBE5sCIRsAA5MDETND4BMzISERUQAAUjNTM+ATcOASMiLgE3FBYzMjY3NTQmIyIGZG/MiNj5/rD+rSQn5fYLOqFgfrtmto94XZ0knnl6lAPMkup8/r3+6Tb+V/55BZwE5/pFVHzhkpXBclRKtuS7AAAAAAIAhv/1AW0ERAAJABMAOQCyCAAAK7EDCumyDQEAK7ESCukBsBQvsADWsAoysQUR6bAPMrEFEemxFQErsQUAERKxDRE5OQAwMTc0NjIWFRQGIiYTNDYyFhUUBiImhjlyOztyOQE5cjs7cjlhMEBAMC4+PgOhMEBAMC4+PgACACn+3gFVBEQACAASAD4AsgwBACuxEQrpAbATL7AC1rEFDumwBRCzLwUODiuxCRHpsAkvsQ4R6bEUASuxBQIRErQICwwQESQXOQAwMRc2NzUzFRQGBwM0NjIWFRQGIiYpXgS1Y0sjOXI7O3I52oOLp5Flyj0E9jBAQDAuPj4AAAEASADDA3oESgAGABEAsgIBACsBsAcvsQgBKwAwMRM1ARUBBRVIAzL9jgJyAj6SAXrE/v79xAAAAgCYAY8D2gPPAAMABwAaALAAL7EBB+mwBC+xBQfpAbAIL7EJASsAMDETNSEVATUhFZgDQvy+A0IBj6CgAZ+hoQAAAAABAIYAxAPcBEsABgARALIEAQArAbAHL7EIASsAMDE3NQkBNQEVhgKV/WsDVsTAAQYBA77+hpIAAAIAS//1A3YFxAAYACEAdQCyIAAAK7EcCumyAwIAK7EVB+myFQMKK7NAFQAJKwGwIi+wANaxGA7psBgQsQwBK7AZMrELDumxHhHpsAsQsRIBK7EGDumxIwErsQsMERK0Aw8VHB8kFzmxEh4RErEJEDk5sAYRsAg5ALEVHBESsQYLOTkwMRM+ATMyFhUUDwEGFSM+AT8BNjU0JiMiBhUTNDYyFhQGIiZLAuO2vdOibUm5AjJNg1RuaWZ8WTdsODhsNwRbosfLsa+qbFGYd4pUh19taXdsW/wCLT09Wjs7AAAAAgBq/jsG1gWXADUAQgDSALILAAArsBAzsR0E6bILAAArsTkF6bAyL7ErBOmwQC+xFwTpsCMvsQQE6QGwQy+wANa0JwwAGwQrsCcQsSABK7QIDAAQBCuxRAErsDYauj+4+gUAFSsKDrA8ELA+wLEbE/mwGsCwPBCzPTw+EyuyPTw+IIogiiMGDhESOQC0Ghs8PT4uLi4uLgG0Ghs8PT4uLi4uLrBAGgGxJwARErEBKDk5sCARtwsEEiMrLzI3JBc5sAgSsQkhOTkAsSsyERKwLzmwCxGwLjmxQDkRErANOTAxExoBJDMyBBIDBgIjIicOASMiJjc2EjYzMhYXAwYzMjY3EgAhIgQCBwYSBDMyNjcXDgEjIiQCJQYWMzI2PwETJiMiBnYM3gF87/kBZK4MDNi1uzU2i0qOkhMPeb9pUYBQNBOTcYwGE/65/rLJ/si0CwyQASfRWrU8JT7Nafr+mLMCXg5RWDxvJAEuOEB1mQHeARMBt+/g/lr+5fL+6KhVU+jNpQEDlCs//dbn4LQBhQGYx/6I9vj+k8EsI3MnMuEBp96OmGZfCQH3He4AAAAAAgAcAAAFHQWwAAcACgAsALIAAAArsAMzsgECACu0BggAAQ0rsQYD6QGwCy+xDAErALEBCBESsAo5MDEzATMBIwMhAxMhAxwCLKgCLcWL/Z6JwwHv+AWw+lABfP6EAhoCqQAAAAMAqQAABIgFsAAOABYAHwBjALIAAAArsQ8D6bIBAgArsR8D6bQXFgABDSuxFwPpAbAgL7AA1rEPC+mwFzKwDxCxEwErsQsL6bAbINYRsQUL6bEhASuxGw8RErAIOQCxFg8RErALObAXEbAIObAfErAFOTAxMxEhMhYVFAYHHgEVFAYjJSEyNjUQKQE1ITI2NTQmIyGpAdzt73Rkdon+6P7HAT2Gm/7i/sABIn6XjI/+5AWwxMBmnSshuYDE4J2LegEHmn5seG0AAQB3/+wE2AXEABwAVgCyGgAAK7ETA+myExoKK7NAExcJK7IFAgArsQwD6bIMBQors0AMCQkrAbAdL7AA1rEQC+mwEBCxFgErsAkysRcL6bAIMrEeASuxFhARErEFGjk5ADAxEzU0EiQzMgAXIy4BIyICHQEUEjMyNjczBgQjIAB3kQEKr+gBGBfBGaeWuNHGsqCrHMEb/uHu/v7+yQKUjMsBNKX+/eWunP7w+43t/uiRtOf7AXIAAAIAqQAABMYFsAALABUAMACyAAAAK7EMA+myAQIAK7EVA+kBsBYvsADWsQwL6bAMELEQASuxBwvpsRcBKwAwMTMRITIEEhcVFAIEByczMhIRNTQCJyOpAZu+ASSfAZ/+2cTTyt736dbgBbCo/srJXc7+yqYCnQEUAP9V+AETAgAAAQCpAAAERgWwAAsARwCyAAAAK7EJA+myAQIAK7EEA+m0BQgAAQ0rsQUD6QGwDC+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuxDQErADAxMxEhFSERIRUhESEVqQOT/S0Cd/2JAt0FsJ7+LJ39/J0AAAAAAQCpAAAELwWwAAkAQACyAAAAK7IBAgArsQQD6bQIBQABDSuxCAPpAbAKL7AA1rEJC+mwBDKyCQAKK7NACQMJK7NACQcJK7ELASsAMDEzESEVIREhFSERqQOG/ToCY/2dBbCe/g6d/X0AAAAAAQB6/+wE3AXEAB8AaQCyHAAAK7ERA+myBAIAK7EKA+myCgQKK7NACggJK7QWFxwEDSuxFgPpAbAgL7AA1rEOC+mwDhCxFAErsAgysRkL6bAHMrIUGQors0AUFgkrsSEBK7EUDhESsQQcOTkAsRYRERKwGTkwMRM1EAAhMgQXIwIhIgIDFRQSMzI2NxEhNSERBgQjIiQCegEzARbkARYfwDb+3sHHAeC/bKI1/q8CEEr+97Cy/uyXApJ/AUkBaunWASH+8f7/d/X+3zA5AUec/epqaacBNAAAAQCpAAAFCAWwAAsAPwCyAAAAK7AHM7IBAgArsAUztAMKAAENK7EDA+kBsAwvsADWsQsL6bACMrALELEIASuwBDKxBwvpsQ0BKwAwMTMRMxEhETMRIxEhEanAAt7Bwf0iBbD9jgJy+lACof1fAAAAAAEAtwAAAXcFsAADACEAsgAAACuyAQIAKwGwBC+wANaxAwvpsQML6bEFASsAMDEzETMRt8AFsPpQAAAAAAEANf/sA8wFsAAPAD8Asg0AACuxBAPpsgQNCiuzQAQACSuyCAIAKwGwEC+wANaxAQvpsAEQsQcBK7EKC+mxEQErsQcBERKwDTkAMDETMxQWMzI2NxEzERQGIyImNcCJgneTAcH70dnyAZJ9jJaHBAr7+dHs3gAAAAEAqQAABQUFsAALADAAsgAAACuwBzOyAQIAK7AEMwGwDC+wANaxCwvpsAIysQ0BKwCxAQARErEDCTk5MDEzETMRATMJASMBBxGpwAKH6P3DAmrm/fyyBbD9MALQ/X380wKluf4UAAAAAQCpAAAEHAWwAAUALACyAAAAK7EDA+myAQIAKwGwBi+wANaxAwvpsgMACiuzQAMFCSuxBwErADAxMxEzESEVqcECsgWw+u2dAAAAAAEAqQAABlIFsAAOAFcAsgAAACuxBgozM7IBAgArsAQzAbAPL7AA1rEOC+mxDA3psA4QsQcBK7EGC+mwBhCxCQ3psAkvsRABK7EHDhESswIECgskFzkAsQEAERKyAwkMOTk5MDEzETMJATMRIxETASMBExGp+AHcAdz5wBL+IpP+IxMFsPtcBKT6UAI3AmT7ZQSY/Z/9yQAAAQCpAAAFCAWwAAkARgCyAAAAK7AGM7IBAgArsAQzAbAKL7AA1rEJC+mwCRCxAwErsQYL6bELASuxCQARErACObADEbAHOQCxAQARErEDCDk5MDEzETMBETMRIwERqcEC37/B/SMFsPuZBGf6UARi+54AAAACAHb/7AUJBcQAEQAfADoAsg4AACuxFQfpsgUCACuxHAjpAbAgL7AA1rESC+mwEhCxGAErsQoL6bEhASuxGBIRErEOBTk5ADAxEzU0EiQzMgQSHQEUAgQjIiQCNxQSMzISNzUQAiMiAgd2kgELrK8BC5CQ/viwrP72k73TubrMA9C7ttEDApxp0gFCq6n+v9Vc1v7BqKkBOdv7/uEBD/1sAQMBFf7r9gACAKkAAATABbAACgATAEIAsgAAACuyAQIAK7ETA+m0CQsAAQ0rsQkD6QGwFC+wANaxCgvpsAsysAoQsQ8BK7EFC+mxFQErALETCxESsAU5MDEzESEyBBUUBCMhGQEhMjY1NCYnIakCGe8BD/739/6pAVmapKSP/pwFsPTJ1OX9xgLXkYmCnAMAAgBt/woFBgXEABUAIgBOALISAAArsRkH6bIFAgArsR8I6QGwIy+wANaxFgvpsBYQsRsBK7EKC+mwDjKxJAErsRsWERKzBRASDSQXObAKEbAPOQCxGRIRErANOTAxEzU0EiQzMgQSHQEUAgcFByUGIyIkAjcUEiASNzUQAiMiAgdtkgELrLABC5CGeQEEg/7NSFCs/vaTvtEBdMwDzb610QMCnGnSAUKrqv7B1V3T/s9WzHn0EqkBOdv6/uABD/1sAQEBF/7r9gACAKgAAATJBbAADgAXAGEAsgAAACuwCjOyAQIAK7EXA+m0DQ8AAQ0rsQ0D6QGwGC+wANaxDgvpsA8ysA4QsRMBK7EFC+mxGQErsRMOERKxDAg5ObAFEbALOQCxDQARErAJObAPEbAIObAXErAFOTAxMxEhMgQVFAYHARUjASEZASEyNjU0JichqAHi9gEJk4MBVs7+xP6qASePqaGY/toFsODWiMoy/ZYMAk39swLqlHyHkAEAAAAAAQBQ/+wEcgXEACYAbQCyIwAAK7EEA+myBCMKK7NABAAJK7IPAgArsRcD6bIXDwors0AXEwkrAbAnL7AM1rEaC+mwACDWEbEBC+mwGhCxBwErsBQysSAL6bATMrEoASuxBxoRErQECg8dIyQXOQCxFwQRErEMIDk5MDETMxQWMzI2NCYnLgE1NCQzMh4BFSM0JiMiBhUUFgQeARUUBCMiJCZQwcOjmKKWxffhARPcluuBwaiZjp+XAWvNY/7s55b+/I0BpoSZfNZ1OUfPmKzhdMx5hJd9b1l7Znukb7HVc8gAAAAAAQAxAAAElwWwAAcAOgCyBgAAK7IBAgArsQAD6bADMgGwCC+wBtaxBQvpsgUGCiuzQAUDCSuyBgUKK7NABgAJK7EJASsAMDETNSEVIREjETEEZv4svwUSnp767gUSAAAAAQCM/+wEqgWwABIANwCyEAAAK7EGA+myAQIAK7AKMwGwEy+wANaxAwvpsAMQsQkBK7EMC+mxFAErsQkDERKwEDkAMDETETMRFBYzMjY1ETMRBgAPASIAjL6uoaOtwQH+/9wz7/7kAdAD4Pwmnq+ungPb/CLO/voQAgECAAEAHAAABP0FsAAGACEAsgYAACuyAAIAK7ADMwGwBy+xCAErALEABhESsAI5MDETMwkBMwEjHNEBngGg0v3kqgWw+08EsfpQAAEAPQAABu0FsAASAQYAshIAACuyDA0RMzMzsgACACu0AQUGCgskFzMBsBMvsADWsQEL6bABELEKASuxCwvpsRQBK7A2GrrBo/GdABUrCrAAELASwA6wARCwAsC6PZPujAAVKwoFsAUuDrAEwLEQFfkFsBHAusJR7vEAFSsKsA0uDrAPwLEIFfkFsAbAuj5q8dcAFSsKDrAKELAJwAWwCxCwDMC6wjTvXAAVKwuwBhCzBwYIEyuwDxCzDg8NEyuyBwYIIIogiiMGDhESObIODw0REjkAtwIEBwgJDg8QLi4uLi4uLi4BQA4CBAUGBwgJDA0ODxAREi4uLi4uLi4uLi4uLi4usEAaAQCxABIRErADOTAxEzMTFzcBMwEXNxMzASMBJwcBIz3A5hwpASCiARkoH+LB/p+v/tQXF/7JrwWw/BvArQP4/AiwxAPk+lAEJW9v+9sAAAAAAQA5AAAEzgWwAAsAJgCyAAAAK7AIM7ICAgArsAUzAbAML7ENASsAsQIAERKxBAo5OTAxMwkBMwkBMwkBIwkBOQHY/jPhAV8BXeL+NAHX5P6a/pgC3gLS/dICLv0u/SICOP3IAAEADwAABLsFsAAIADAAsgcAACuyAAIAK7ADMwGwCS+wB9axBgvpsQoBK7EGBxESsAI5ALEABxESsAI5MDETMwkBMwERIxEP3AF6AXza/grABbD9JQLb/G/94QIfAAAAAAEAVgAABHoFsAAJAC4AsgAAACuxBwPpsgQCACuxAwPpAbAKL7ELASsAsQcAERKwATmxBAMRErAGOTAxMzUBITUhFQEhFVYDHvzvA/f83wNBkASCno37ep0AAAAAAQCS/sgCCwaAAAcANQCwAC+xBQbpsAQvsQEG6QGwCC+wANa0BxEACwQrsAIysQUO6bQHEQALBCuwAzKxCQErADAxExEhFSMRMxWSAXm/v/7IB7iY+XiYAAEAKP+DAzgFsAADABEAsgACACsBsAQvsQUBKwAwMRMzASMosAJgsAWw+dMAAQAJ/sgBgwaAAAcAPgCwBy+xAAbpsAMvsQQG6QGwCC+wB9awAzK0BhEACwQrsAYQsQEO6bABL7AGELQHEQALBCuwBy+xCQErADAxFzMRIzUhESEJwcEBev6GoAaImPhIAAAAAAEAQALZAxQFsAAGABEAsgECACsBsAcvsQgBKwAwMRMBMwEjCwFAASt/ASqrv74C2QLX/SkB4v4eAAAAAAEABP9pA5gAAAADABoAsgAAACuxAwbpsgAAACsBsAQvsQUBKwAwMTMhFSEEA5T8bJcAAAABADkE2gHaBgAAAwAoALADL7QBCgAOBCsBsAQvsADWtAIRAAoEK7EFASsAsQEDERKwADkwMRMzEyM538KfBgD+2gAAAAIAbf/sA+oETgAeACgAjACyGAAAK7IcAAArsSIH6bIQAQArsQgG6bIIEAors0AIDAkrtAMnHBANK7EDBOkBsCkvsADWsR8O6bAMINYRsQsO6bAfELElASuwBDKxFA7psBgg1hGxFwvpsSoBK7ElCxESshAcIjk5ObAYEbAaOQCxIhgRErEWGjk5sCcRsRQAOTmxCAMRErATOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJjcUFjMyNjc1IyBtAQHptHRxY4a6c8V2u9QEJsIQCoGzoM25dFtXnCOR/qwBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtaVXYlpI3gAAAgCM/+wEIAYAAA4AGQBfALIAAAArsgsAACuxEQPpsgUBACuxFwPpsAEvAbAaL7AA1rEPDumwAjKxDgzpsA8QsRQBK7EIDumxGwErsQ8OERKwDTmwFBGxBQs5OQCxEQARErANObEFFxESsAM5MDEzETMRNiASERUUAiMiJwcTFjMyNjU0JiMiB4y5cAGK4eTAzXAJD1W0hZSSibdQBgD9w4v+1v79EPj+05F9ATOqzs+9zqoAAQBc/+wD7AROAB0AXACyGwAAK7ETBumyExsKK7NAExcJK7IFAQArsQwG6bIMBQors0AMCAkrAbAeL7AA1rEQDumwEBCxFgErsAkysRcN6bAIMrEfASuxFhARErEFGzk5sBcRsAc5ADAxEzU0PgEzMhYXIy4BIyIGHQEUFjMyNjczDgIjIgBcdNmUtvEIrwiPaY2bmo9jlAivBXbFbt3++wITH572iNquaYfLwCO7ynhaXahkAScAAAIAX//sA/AGAAAPABoAZQCyCgAAK7INAAArsRMD6bIEAQArsRgD6bAHLwGwGy+wANaxEA7psBAQsRUBK7AGMrEJDumwCRCxCgzpsAovsRwBK7EVEBESsQQNOTmwChGwCzkAsRMKERKwCzmxBBgRErAGOTAxEzU0EjMyFxEzESMnBiMiAjcUFjMyNxEmIyIGX+y/vm+5qglvxrztuZiGsFFTrIiYAhgO+QEvggI0+gB0iAE08bjQngHxmdIAAgBd/+wD8wROABUAHQBcALITAAArsQ0G6bIFAQArsRsG6bQWChMFDSuxFgbpAbAeL7AA1rEKDumwFjKwChCxFwErsQgO6bEfASuxFwoRErIFDRM5OTmwCBGxEBE5OQCxCg0RErEQETk5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEyE1LgEjIgZde92B0+r9IwSzimKIM3GI/vDc/uy/Ah4IiHRwmAH/IqH9j/7q/v1NoMVQQljRASEBcw6Nm6MAAQA8AAACygYVABUAWACyFAAAK7IBAQArsA8zsQAF6bARMrALL7EGA+kBsBYvsBTWsAIysRMO6bAOMrITFAors0ATEQkrshQTCiuzQBQACSuxFwErALELARESsAk5sAYRsAg5MDETNTM1NDYzMhcHJiMiBh0BMxUjESMRPKu6qkA/Ci81WmLn57kDq49vrr4RlglpYnKP/FUDqwAAAgBg/lYD8gROABkAJACAALIXAAArsR0D6bIGAQArsgMBACuxIgPpsAsvsREG6QGwJS+wANaxGg7psBoQsRQBK7AfMrEIDumwCBCxBgzpsAYvsSYBK7EaABESsQ4POTmwFBGzAxELFyQXObAGErAFOQCxFxERErEODzk5sB0RsBU5sCISsAA5sAYRsAU5MDETNBIzMhc3MxEUBiMiJic3FjMyNj0BBiMiAjcUFjMyNxEmIyIGYOrBxm8JqfnSdeA7YHesh5dvwL7rupaHr1JVqoeYAib9ASuMePvg0vJkV2+TmIpdgAEy87fRnwHum9IAAQCMAAAD3wYAABEARQCyAAAAK7AIM7IFAQArsQ0D6bABLwGwEi+wANaxEQ7psAIysBEQsQkBK7EIDumxEwErsQkRERKwBTkAsQUNERKwAzkwMTMRMxE2MyATESMRLgEjIgYHEYy5e8UBVwO5AWlvWogmBgD9t5f+ff01Asx1cGBO/P0AAgCNAAABaAXEAAgADABBALIJAAArsgMCACuxBwrpsgoBACsBsA0vsADWsQUR6bEFEemzCQUACCuxDA7psQ4BK7EMCRESswMGBwIkFzkAMDETNDYyFhQGIiYTETMRjTdsODhsNw+5BVktPj5aPDz61AQ6+8YAAAAAAv+//ksBWQXEAAwAFgBNALIQAgArsRUK6bIGAQArsAovsQID6QGwFy+wBdaxCA7psBIysAgQsQ0R6bANL7EYASuxCAURErEQFTk5ALECChESsAw5sAYRsAA5MDEDFjMyNjURMxEQISInEzQ2MzIWFAYiJkEgND5Buf7lPTTANzU2ODhsNv7xCENTBLv7Sf7IEgb8LD8+Wjw8AAAAAQCNAAAEDAYAAAwAMACyAAAAK7AIM7IFAQArsAEvAbANL7AA1rEMDumwAjKxDgErALEFABESsQMKOTkwMTMRMxE3ATMJASMBBxGNuWMBUeH+WwHW2f6HdAYA/F93AWT+PP2KAfV5/oQAAAAAAQCcAAABVQYAAAMAHwCyAAAAK7ABLwGwBC+wANaxAw7psQMO6bEFASsAMDEzETMRnLkGAPoAAAABAIsAAAZ4BE4AHQBsALIAAAArsQ0WMzOyAQEAK7IFAQArsAozsRoD6bASMgGwHi+wANaxHQ7psAIysB0QsRcBK7EWDumwFhCxDgErsQ0O6bEfASuxFx0RErAFObAWEbAHObAOErAKOQCxGgARErAHObABEbADOTAxMxEzFzYzMhc+ATMgExEjETQmIyIGBxEjETQjIgcRi68Fd8rjUjatdgFkBrlqfWeIC7rntkMEOniMrk5g/of9KwLKdHN7aP0yAsXsm/zqAAEAjAAAA98ETgARAEcAsgAAACuwCDOyAQEAK7IFAQArsQ0D6QGwEi+wANaxEQ7psAIysBEQsQkBK7EIDumxEwErsQkRERKwBTkAsQENERKwAzkwMTMRMxc2MyATESMRLgEjIgYHEYyvBnzIAVcDuQFpb1qIJgQ6iJz+ff01Asx1cGBO/P0AAAACAFv/7AQ0BE4ADwAbADoAsg0AACuxEwbpsgUBACuxGQbpAbAcL7AA1rEQDumwEBCxFgErsQkO6bEdASuxFhARErEFDTk5ADAxEzU0PgEzMgAdARQOASMiADcUFjMyNjU0JiMiBlt934/dARF54ZLc/u+6p4yNpqmMiagCGg2f/or+zv4NnvuMATLztNrdx7Ld2gAAAgCM/mAEHgROAA8AGgBfALIMAAArsRIG6bIBAQArsgUBACuxGAPpsAAvAbAbL7AA1rEPDumwEDKxAgzpsA8QsRUBK7EJDumxHAErsQ8CERKwAzmwFRGxDAU5OQCxEgwRErAOObEBGBESsAM5MDETETMXNjMyEhEVFAIjIicZARYzMjY1NCYjIgeMqQlxycPj4sHFcVOrhZ2ciKhU/mAF2niM/tr++hH3/tJ9/fcCt5TT0LfUlQAAAAIAX/5gA+8ETgAPABoAZQCyDQAAK7ETBumyBwEAK7IEAQArsRgG6bAKLwGwGy+wANaxEA7psBAQsQoBK7AVMrEJDumwCRCxBwzpsAcvsRwBK7EKEBESsQQNOTmwBxGwBjkAsRMNERKwCzmxBxgRErAGOTAxEzUQEjMyFzczESMRBiMiAjcUFjMyNxEmIyIGX+rFwG8IqrlwusTpuZ2FpVdYooaeAhkNAP8BKYFt+iYCBHgBMfS61JICEo/VAAAAAAEAjAAAApcETgANADQAsgAAACuyAQEAK7AHM7IFAQArsQoJ6QGwDi+wANaxDQ7psAIysQ8BKwCxAQoRErADOTAxMxEzFzYzMhcVJiMiBxGMtANbpzYcKjG2QQQ6fZEOrAeb/QAAAAAAAQBf/+wDuwROACYAbQCyIwAAK7EEBumyBCMKK7NABAAJK7IQAQArsRcG6bIXEAors0AXEwkrAbAnL7AN1rEaDumwACDWEbEBDumwGhCxBwErsBQysSAO6bATMrEoASuxBxoRErQEChAdIyQXOQCxFwQRErENIDk5MDETMx4BMzI2NTQmJC4BNTQ2MzIWFSM0JiMiBhUUFgQeARUUBiMiLgFfuQWLcml/cf7npU/hr7jluoFiZXJqARWsU+i5gshxAU1dbVVHS1M8VHRQhbi+lExuWEdDRD5WeVeRr1ylAAABAAn/7AJWBUAAFQBdALIRAAArsQwD6bIBAQArsAUzsQAF6bAHMrIBAAors0ABBAkrAbAWL7AU1rACMrEJDumwBDKyCRQKK7NACQcJK7AOMrIUCQors0AUAAkrsRcBKwCxAAwRErAOOTAxEzUzETMRMxUjERQWMzI3FQYjIiY1EQnFucrKNkEgOElFfH4Dq48BBv76j/1hQUEMlhSWigKfAAAAAAEAiP/sA9wEOgAQAEcAsgsAACuyDgAAK7EFA+myAQEAK7AIMwGwES+wANaxAw7psAMQsQcBK7ALMrEKDumxEgErsQcDERKwDjkAsQULERKwDDkwMRMRMxEUMzI3ETMRIycGIyImiLnI1Ea5sARs0a21AXoCwP1F9p4DE/vGa3/JAAAAAAEAIQAAA7oEOgAGACgAsgYAACuyAAEAK7ADMwGwBy+wA9axBAvpsQgBKwCxAAYRErACOTAxEzMJATMBIyG9ARMBDL3+fI0EOvzBAz/7xgAAAQArAAAF0wQ6AAwAkQCyDAAAK7EJCzMzsgABACuyAwQGMzMzAbANL7AA1rEBDumwARCxBgErsQcO6bEOASuwNhq6PRzs/QAVKwqwAy4OsALAsQoF+QWwC8C6wuLtAgAVKwqwCS6xCwoIsArADrEFBfkFsATAAwCyAgUKLi4uAbYCAwQFCQoLLi4uLi4uLrBAGrEGARESsQgMOTkAMDETMxsBMwETMwEjCQEjK7jV/JUBAdC5/sWW/vn/AJYEOvzWAyr8xQM7+8YDNPzMAAAAAAEAKQAAA8oEOgALACYAsgAAACuwCDOyAgEAK7AFMwGwDC+xDQErALECABESsQQKOTkwMTMJATMbATMJASMLASkBbf6e1u3w2P6eAW3W+voCIwIX/nUBi/3p/d0Blf5rAAEAFv5LA7AEOgAPAGQAsgABACuwAzMBsBAvsAPWsQQQ6bERASuwNhq6+uXANAAVKwoOsAkQsAbAsQoW+bALwLAJELMHCQYTK7IHCQYgiiCKIwYOERI5ALMHCQoLLi4uLgGzBwkKCy4uLi6wQBoBADAxEzMBEzMBAiMvATUXMjY/ARbKAQ78xv5NZdwjRTJeaSIpBDr81QMr+x/+8gMNlgRMZW4AAQBYAAADswQ6AAkALgCyAAAAK7EHBumyBAEAK7EDBukBsAovsQsBKwCxBwARErABObEEAxESsAY5MDEzNQEhNSEVASEVWAJV/bQDNP2lAnmIAxmZg/zglwAAAAABAED+kgKeBj0AGABUALATL7QSBAAhBCuwAC+xAQXpsAgvtAcEACEEKwGwGS+wFtawAzKxEA7psAoysRoBK7EQFhESsA05ALEAEhESsQ8WOTmwARGwDTmwCBKxBQs5OTAxEzUyPQE+ATcXBhEVFAcWHQESFwcuAT0BNEDUAq+zJtGnpwPOJrGzAh+R8tC34TNzQ/7myuNZWuXO/u1CczLlvMfzAAEAr/7yAUQFsAADACIAsgECACsBsAQvsADWtAMMABsEK7QDDAAbBCuxBQErADAxExEzEa+V/vIGvvlCAAEAE/6SAnIGPQAYAFQAsBgvtAAEACEEK7ASL7ERBemwCi+0CwQAIQQrAbAZL7AC1rAHMrEVDumwDjKxGgErsRUCERKwBTkAsRIAERKxAxU5ObAREbAFObAKErEHDjk5MDEXNhM1NDcmPQEQJzceARcVFDMVIh0BFAYHE8sHtbXRJrGyAdTUta/7QQEK3OdUUunLARpDczLhudLvkfPKvOIyAAAAAQCDAZIE7wMiABcAWQCwDy+xCAfpsggPCiuzQAgMCSuwFC+xAwfpshQDCiuzQBQACSsBsBgvsADWsRcM6bAXELELASu0DAwAJgQrsRkBK7ELFxESsQMPOTkAsRQIERKxBhI5OTAxEzQ2MzIeAR8BMjY1NxQGIyIuAiMiBhWDuItMjLBAHUxfmbuJSICpSipOVAG0oM5AoQoCdF8Bntk1lCRrXgACAIv+mAFmBE0ACAAMAEgAsgMBACuxCArpAbANL7AB1rEFEemzCwUBCCuxCgzpsAovsQsM6bEMC+mwDBCxARHpsAEvsQ4BK7ELChESswMHCAIkFzkAMDESNDYyFhUUBiIDEzMTizhsNzdsJg2oDQO3Wjw8LS0++x8EFPvsAAAAAAEAaf8LA/kFJgAhAHUAsB4vtBUKAAsEK7AOL7QFCgAMBCsBsCIvsADWsRIO6bASELEeASuwBDKxHQ7psAYysB0QsRgBK7ALMrEZDemwCjKxIwErsR0eERKxDhU5ObAYEbAMOQCxFR4RErEcHzk5sA4RsgoYGTk5ObAFErEEBzk5MDETNTQSNzUzFR4BFyMuASMiBh0BFBYzMjY3Mw4BBxUjNSYCacqxuZbABq8Ij2mNm5uNZJQIrwbGkLmzyAIPI9QBHSHi3xfUlmmHy8Aju8p5WX7JGunqIgEcAAABAFsAAARoBcQAIQCEALIaAAArsRsD6bAXMrIGAgArsQ0D6bQAARoGDSuwETOxAAPpsBMyswoaBggrAbAiL7Ah1rACMrEUC+mwEDKyIRQKK7NAIQAJK7AhELAfINYRsRUL6bIVHwors0AVEwkrsBQQsQoBK7EJC+mxIwErsRQfERKwFzmxChURErEGDTk5ADAxEzUzAzQ2MzIWFSM0JiMiBhUTIRUhFxQHIQchNTM+ATc1J1ugCfXIvt6/f29pggkBP/7GCD4C3QH7+E0oMgIIAm6dAQTH7tSxa3yaff78ndyaW52dCYNgCN0AAAIAaf/lBVsE8QAbACoAeQCyGAAAK7EVGzMzsSAI6bAnL7EKCOkBsCsvsAPWsRwM6bAcELEjASuxEQ3psSwBK7EcAxESswEFBxskFzmwIxGzCAwWGiQXObARErMNDxMVJBc5ALEgGBESsxQAFhokFzmwJxGzAQUPEyQXObAKErMGCAwOJBc5MDE/ASY1NDcnNxc2MzIXNxcHFhUUBxcHJwYjIicHExQeATI+ATU0LgEjIg4BaYtocJOCk57DxJ+VhJduZo+EiJ/Rz5+GTHPE4sRxccVwccRzbY2cys6jl4iWeHmYiZqjy8SfkIiLhIKIAnp71Hp703t603l41AAAAAABAA8AAAQkBbAAFgB0ALIOAAArsgACACuwAzO0EBEOAA0rsAkzsRAE6bALMrQUFQ4ADSuwBTOxFATpsAcyAbAXL7AO1rASMrENC+mwCDKyDQ4KK7NADQcJK7AKMrIODQors0AOFAkrsBAysRgBK7ENDhESsAI5ALEAFRESsAI5MDETMwkBMwEhFSEVIRUhESMRITUhNSE1IQ/YATQBNNX+kQEF/rwBRP68wf7CAT7+wgEHBbD9aQKX/TB9pXz+vgFCfKV9AAAAAAIAk/7yAU0FsAADAAcAIgCyBQIAKwGwCC+wANawBDKxAw7psAYysQMO6bEJASsAMDETETMRAxEzEZO6urr+8gMX/OkDyAL2/QoAAAACAFr+EQR5BcQANABEAJAAshYCACuxHQbpsh0WCiuzQB0ZCSuwMC+xBAbpAbBFL7AO1rAAMrE1DumwATKwEyDWEbEgDumwNRCxPQErsSgO6bAHINYRsS0O6bA9ELAaINYRsRkO6bFGASuxNRMRErAQObEHIBESQAoECxYdJDA5OkBCJBc5sT0aERKwKjkAsR0EERK1AAETLTpCJBc5MDEXNxQWMzI2NTQmJy4CNTQ3LgE1NCQzMgQVIzQmIyIGFRQeAQQeAhUUBx4BFRQEIyImJyYTFB4BBBc+ATU0JicmJw4BWrq0nIimjtG2wF22QkcBC97oAQS5qIuOoTiHAR+pcTq6RUj+/ORwyUaLwDaFARwsTlSL2lpLUEtAAoKXdWBZaT4wb5tvulgxiGSmyOLNfZtzYkVQQVBIYYFZvVUxiGSoxzg5cQM2RlBCUhEUZUVYbUIYGxNlAAIAZQTwAu4FxQAIABEAQACyAwIAK7ALM7EHCumwDzKyAwIAK7EHCukBsBIvsADWsQUR6bAFELEJASuxDhHpsRMBKwCxAwcRErEJDjk5MDETNDYyFhQGIiYlNDYyFhQGIiZlN2w4OGw3Aa43bDg4bDcFWy09PVo8PCstPj5aPDwAAwBb/+sF5gXEAA4AHQA5AKgAsgsAACuxEwTpsgQCACuxGgTptDcwCwQNK7E3BOmyMDcKK7NAMDQJK7QiKQsEDSuxIgTpsikiCiuzQCklCSsBsDovsADWtA8MABAEK7APELEeASu0LQwAGwQrsC0QsTMBK7AmMrQ0DAAbBCuwJTKwNBCxFgErtAcMABAEK7E7ASuxMy0RErcDEhMaCykiNyQXObA0EbAEOQCxKTARErMHDxYAJBc5MDETNBIkIAQSFRQCBCMiJAI3FBIEICQSNTQCJCMiBAIXNTQ2MzIWFSM0JiMiBh0BFBYzMjY1MxQGIyImW7sBSwGAAUq7tP61xsX+tbZzoAETAUABEqCe/u2hoP7sn+y/m6Cskl9bXmxsXlxdkq2enb0C2coBWsfH/qbKxf6o0c8BWMes/tumpgElrKoBIqel/tzfbrDTpJVjVYp7cXiKVGWZodMAAgCTArMDDwXEABsAJQBxALIOAgArsQcF6bAZL7EeBOmwIy+0AwQAIQQrAbAmL7AA1rALMrEcDOmwCjKwHBCxIQErsAQysRIM6bEnASuxIRwRErEOGTk5sBIRsRUXOTkAsR4ZERKxFBc5ObAjEbESADk5sQcDERKyCgsROTk5MDETNDY7ATU0IyIGFSc0NjMyFhURFBcjJicGIyImNxQzMjY3NSMOAZOnrGx8RU+hrImFmhqlDAZMgHeCo30rWBxwU1kDlm94NIc2Mwxngo+G/sRhUSImVnxrXigbjgE/AAACAGYAlwNkA7MABgANAAATNQEzCQEjEzUBMwkBI2YBJ43+/gECjSMBJ43+/gECjQIbEwGF/nH+cwGEEwGF/nH+cwAAAAEAfwF3A74DIAAFADAAsAAvsQEH6bIAAQors0AABAkrAbAGL7AE1rEDDumyBAMKK7NABAAJK7EHASsAMDETNSERIxF/Az+6An+h/lcBCAAAAQAlAh8CDQK2AAMAIgCwAC+xAQbpsQEG6QGwBC+xAAErtAMRAAkEK7EFASsAMDETNSEVJQHoAh+XlwAABABa/+sF5QXEAA4AHgA0AD0AugCyCwAAK7ETBOmyBAIAK7EbBOm0MzULBA0rsTME6bIzNQors0AzHwkrsCwytCE9CwQNK7EhBOkBsD4vsADWtA8MABAEK7APELEfASu0NAwAGwQrsDUysDQQsTkBK7AtMrQkDAAbBCuwKDK0LAwAGwQrsCQQsRcBK7QHDAAQBCuxPwErsTQfERKwAzmwORGyExsLOTk5sCQSsQQmOTkAsTMTERKwKDmwNRG0Bw8XACYkFzmwPRKwJDkwMRM0EiQgBBIVFAIEIyIkAjcUEgQzMiQSNTQCJCMiBAIBESEyFhUUBxYXFRQXFSMmNCcmJyMZATM+ATU0JisBWrsBSwGAAUq7tP61xsX+tbZzoAEToKEBFJ2d/uyhoP7snwEzARSZqYB6ARGRDgMQc7CcSFhOZIoC2coBWsfH/qbKxf6o0c8BWMes/tumqQEirKsBIael/tz9uQNRg317QTKaPVYmECS5EWAE/q4B0gJCNkk9AAAAAAEAjgUWAy4FpQADACIAsAAvsQEF6bEBBekBsAQvsQABK7QDEQAHBCuxBQErADAxEzUhFY4CoAUWj48AAAIAggPAAnwFxAALABYASgCyAwIAK7EVBOmyDwEAK7EJBOkBsBcvsADWtA0MABAEK7ANELESASu0BgwAEAQrsRgBK7ESDRESsQkDOTkAsRUPERKxBgA5OTAxEzQ2MzIWFRQGIyImNhQWMzI2NTQmIyKClWpok5NoaZZ9Szc2Sko2NwTAaJybaWqWlqBsSkc5OksAAAACAGEAAAP1BPMACwAPAFsAsgwAACuxDQbpsAAvsAczsQEG6bAFMrIAAQors0AACgkrsgEACiuzQAEDCSsBsBAvsArWsAIysQkM6bAEMrIJCgors0AJBwkrsgoJCiuzQAoACSuxEQErADAxEzUhETMRIRUhESMRATUhFWEBgacBbP6Up/6lA0MCv5cBnf5jl/5iAZ79QZiYAAEAQgKbAqsFuwAWAG8AsgMCACuxEwTpshMDCiuzQBMACSuwDC+xCQTpAbAXL7AA1rEWDOmwFhCxEAErsQUM6bIFEAors0AFCwkrshAFCiuzQBAMCSuxGAErsRAWERKxAgk5ObAFEbADOQCxCQwRErANObATEbEFEDk5MDETNDYgFhUUDwIhFSE1ATY1NCYjIgYVQqcBCJprVLABj/2pASxtQDxLRwS1cpR/bmhrT5GAbAEaZkUxPUw5AAAAAQA+ApACmgW7ACYAiQCyGQIAK7ESBOmyEhkKK7NAEhYJK7AkL7EEBOmyBCQKK7NABAAJK7AKL7QLBAAhBCsBsCcvsADWsBYysQEM6bAVMrABELEHASuwDzKxIQzpsBwysgchCiuzQAcKCSuxKAErsQcBERKxGSQ5ObAhEbAfOQCxCgQRErAhObALEbAfObASErAcOTAxEzMUFjMyNjU0JyM1MzI2NTQmIyIGFSM0NjMyFhUUBgcWFRQGIyImPp5PQ0ZJnFhUSkg/RjlLnaN8iZxGQpWqiISmA3ktPDwzcQJ0PTAtOjMpYnt5aDdbGSmPan1+AAEAewTaAhwGAAADACAAsAAvtAEKAA4EKwGwBC+wANa0AhEACgQrsQUBKwAwMRsBMwF7weD+9ATaASb+2gAAAAABAJr+YAPuBDoAEgBcALIMAAArsg8AACuxBgbpsgEBACuwCTOwAC8BsBMvsADWsRIO6bACMrASELEIASuxCw7psAsQsQwM6bAML7EUASuxCBIRErAPObAMEbANOQCxBgwRErENETk5MDETETMRHgEzMjcRMxEjJwYjIicRmrkBZ3THPrqnCV2qk1H+YAXa/YejnJgDIPvGc4dJ/isAAAAAAQBDAAADQAWwAAoANwCyBgAAK7IDAgArAbALL7AA1rQEEQAHBCuwBBCxBg7psAYvsAQQtAARAAcEK7AAL7EMASsAMDETNAAzIREjESMiJEMBCuYBDbpU5v73A9zVAP/6UAII/gAAAAABAJMCawF5A0kACQAiALAIL7EDCumxAwrpAbAKL7AA1rEFEemxBRHpsQsBKwAwMRM0NjIWFRQGIiaTOXI7O3I5AtkwQEAwLz8/AAAAAQB0/k0BqgAAAA4APwCyBwAAK7EGBOmwDi+0AAQAIQQrAbAPL7AD1rQLDAAbBCuxEAErsQsDERKwCDkAsQYAERKwCzmwBxGwCTkwMRMyNjU0Jic3MwcWFRQGI3RPV0BiIIUMmaCP/rg0LywqCYY0G5JhcQABAHoCmwHvBbAABgArALICAgArAbAHL7AF1rEEDOmyBQQKK7NABQEJK7EIASuxBAURErACOQAwMRM1JTMRIxF6AWMSnQS7gHX86wJZAAAAAAIAegKyAycFxAAMABoAOgCyBAIAK7EXBemwCy+xEAXpAbAbL7AA1rENDOmwDRCxEwErsQgM6bEcASuxEw0RErIKCwQ5OTkAMDETNTQ2MzIWHQEUBiAmNxQWMzI2PQE0JiMiBgd6vJqbvLv+zL6jYVRTX2FTUWACBBlKnsPBpkqfwsKfZHJzZU5jcm5hAAAAAAIAZgCYA3gDtQAGAA0AADcJATMBFQEzCQEzARUBZgEC/v6OASf+2c8BAv7+jgEn/tmYAY4Bj/57E/57AY4Bj/57E/57AAAAAAQAVQAABZEFrQAGAAoAFQAZAH4AshMAACuwFS+wEDOxFgTpsA4yshYVCiuzQBYMCSsBsBovsAXWsQQM6bIFBAors0AFAQkrsAQQsRMBK7AXMrESDOmwDTKyExIKK7NAEwsJK7EbASuxBAURErICBwo5OTmwExGzCAkMFiQXOQCxFRMRErAKObAWEbEHCzk5MDETNSUzESMREwEXASUBMxEzFSMVIzUhNzMRB1UBYxKdJgLHaP05AVEBeaFra53+iZjfEQS4gHX86wJZ+8cEckL7jpkCBv4WgqmpggEhHAAAAwBQAAAFyQWtAAYACgAhAKwAshcAACuxFATpsB4vsAQzsQ4E6bIeDgors0AeCwkrsg4eCiuzQA4CCSsBsCIvsAXWsAcysQQM6bIFBAors0AFAQkrsAQQsQsBK7EhDOmwIRCxGwErsRAM6bIQGwors0AQFgkrshsQCiuzQBsXCSuxIwErsQQFERKxAgo5ObEhCxESsAg5sBsRsg0UCTk5ObAQErAOOQCxFBcRErEKGDk5sB4RsgcQGzk5OTAxEzUlMxEjEQMBFwkBNDYgFhUUDwIhFSE1ATY1NCYjIgYVUAFjEp0BAsdo/TkB0acBCJprVLABj/2pASxtQDxLRwS4gHX86wJZ+8cEckL7jgGkcpR/bmhrT5GAbAEaZkUxPUw5AAAAAAQAbwAABe0FuwAmACoANQA5APQAsjMAACuyGQIAK7ESBOmyEhkKK7NAEhYJK7Q1NjMZDSuwLjOxNQTpsDAytCQEMxkNK7AsM7EkBOmyBCQKK7NABAAJK7QLCjMZDSu0CwQAIQQrAbA6L7AA1rAWMrEBDOmwFTKwARCxBwErsA8ysSEM6bAcMrIHIQors0AHCgkrsCEQsTMBK7A3MrEyDOmwLTKyMzIKK7NAMysJK7E7ASuxBwERErIZJCc5OTmwIRGxHyo5ObAzErIoLDY5OTmwMhGwKTkAsTUzERKwKjmwNhGxJys5ObAkErA4ObEKBBESsCE5sAsRsB85sBISshwoKTk5OTAxEzMUFjMyNjU0JyM1MzI2NTQmIyIGFSM0NjMyFhUUBgcWFRQGIyImCQEXASUBMxEzFSMVIzUhNzMRB2+eT0NGSZxYVEpIP0Y5S52jfImcRkKVqoiEpgFjAsdo/TkBLgF5oWtrnf6JmN8RA3ktPDwzcQJ0PTAtOjMpYnt5aDdbGSmPan1+/aoEckL7jpkCBv4WgqmpggEhHAAAAgBE/n8DeARNABgAIgB3ALISAAArsgAAACuyHAEAK7EhCumwFi+xDwfpAbAjL7AA1rEMDumwDBCxBQErsQYO6bAeMrAGELEZEemwGS+wBhCxEgErsRMO6bEkASuxDAARErACObAZEbEKAzk5sQYFERKzDxYbISQXOQCxIRIRErEFCjk5MDEXND8BNjUzDgMPARQWMzI2NTMOASMiJgE0NjIWFRQGIiZEoG1CuQEpYLgLAnRtZH25AuG3xNYBNThsNzdsOAWtr3FOkmp/dsFjJW1zcVuhzMkEnSw8PCwtPj4AAAAAAwAcAAAFHQc2AAcACwAOACwAsgAAACuwAzOyAQIAK7QGDAABDSuxBgPpAbAPL7EQASsAsQEMERKwDjkwMTMBMwEjAyEDEzMTIwMhAxwCLKgCLcWL/Z6Jh9/Cn8YB7/gFsPpQAXz+hAc2/tr8CgKpAAMAHAAABR0HNgAHAAoADgAsALIAAAArsAMzsgECACu0BggAAQ0rsQYD6QGwDy+xEAErALEBCBESsAo5MDEzATMBIwMhAxMhCwETMwEcAiyoAi3Fi/2eicMB7/hiweD+9AWw+lABfP6EAhoCqQFNASb+2gAAAwAcAAAFHQc2AAcAEAATACwAsgAAACuwAzOyAQIAK7QGEQABDSuxBgPpAbAUL7EVASsAsQERERKwEzkwMTMBMwEjAyEDEzUTMxMVIycHAyEDHAIsqAItxYv9nomQ9nD3mZaVZgHv+AWw+lABfP6EBhoMARD+7gqqqvwAAqkAAAADABwAAAUdByIABwAfACIAewCyAAAAK7ADM7IBAgArtAYgAAENK7EGA+mwFy+xEAXpsxwQFwgrsQsF6QGwIy+wCNa0HwwAEAQrsB8QsRMBK7QUDAAQBCuxJAErsR8IERKxBiA5ObATEbQBCwIXIiQXObAUErEFITk5ALEBIBESsCI5sBcRsQgfOTkwMTMBMwEjAyEDEzQ2MzIeAjMyNjUXFAYjIi4CIyIGFQMhAxwCLKgCLcWL/Z6JXnldIzhgMx8rOXx7XCk8YSscKToXAe/4BbD6UAF8/oQGGmuMFDoSRC0MbIYUPg0/MfwHAqkAAAAEABwAAAUdBvsABwAQABMAHABxALIAAAArsAMzsgECACu0BhEAAQ0rsQYD6bAPL7AaM7ELCumwFjIBsB0vsAjWsQ0R6bANELEUASuxGRHpsR4BK7ENCBESsQYROTmwFBGyAQITOTk5sBkSsQUSOTkAsQERERKwEzmxCw8RErEUGTk5MDEzATMBIwMhAxM0NjIWFAYiJhMhAxM0NjIWFAYiJhwCLKgCLcWL/Z6JfDdsODhsN0cB7/hwN2w4OGw3BbD6UAF8/oQGkS09PVo8PPu2AqkBzC0+Plo8PAAABAAcAAAFHQeRAAcACgAUAB8AcwCyAAAAK7ADM7IBAgArtAYIAAENK7EGA+mwEy+0GAQAFAQrsB0vtA4EABQEKwGwIC+wDNa0FQwAEAQrsBUQsRsBK7QQDAAQBCuxIQErsRsVERK1AQINDgoTJBc5ALEBCBESsAo5sR0YERKyCwwQOTk5MDEzATMBIwMhAxMhAwI0NjIWFRQGIyInFBYzMjY0JiMiBhwCLKgCLcWL/Z6JwwHv+NN7uHt8W1wYQzEwREMxMkIFsPpQAXz+hAIaAqkBqKx6elZXdcwvREJiRUYAAAAAAv/yAAAHVwWwAA8AEgB8ALIMAAArsAAzsQkG6bIBAgArsQQG6bQOEAwBDSuxDgnptAUIDAENK7EFBukBsBMvsBLWsQQO6bAEELAJINYRsQwN6bAML7EJDemyCQwKK7NACQcJK7NACQsJK7AMELARINYRsA0zsQgN6bAFMrEUASsAsQQFERKwEjkwMSMBIRUhEyEVIRMhFSEDIQMBIQMOA3ADt/1NFAJO/bgWAsH8jQ/9zM0BMgHIHwWwmP4pl/3tlwFh/p8CDwLdAAAAAgB3/kQE2AXEABwAKwCNALIaAAArtCQEABQEK7IFAgArsQwD6bIMBQors0AMCQkrsCsvtB0EACEEKwGwLC+wANaxEAvpsBAQsSABK7QoDAAbBCuwKBCxFgErsAkysRcL6bAIMrEtASuxIBAREkAJDAUTGh0jJCYrJBc5sCgRsCU5ALEaHRESsiMmKDk5ObEMJBESshMWFzk5OTAxEzU0EiQzMgAXIy4BIyICHQEUEjMyNjczBgQjIAABMjY1NCYnNzMHFhUUBiN3kQEKr+gBGBfBGaeWuNHGsqCrHMEb/uHu/v7+yQHPT1dAYiCFDJmgjwKUjMsBNKX+/eWunP7w+43t/uiRtOf7AXL9UTQvLCoJhjQbkmFxAAIAqQAABEYHQgALAA8ATwCyAAAAK7EJA+myAQIAK7EEA+m0BQgAAQ0rsQUD6QGwEC+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuxEQErsQkAERKwDDkAMDEzESEVIREhFSERIRUBMxMjqQOT/S0Cd/2JAt387t/CnwWwnv4snf38nQdC/toAAgCpAAAERgdCAAsADwBHALIAAAArsQkD6bIBAgArsQQD6bQFCAABDSuxBQPpAbAQL7AA1rEJC+mwBDKyCQAKK7NACQMJK7AKMrNACQcJK7ERASsAMDEzESEVIREhFSERIRUBEzMBqQOT/S0Cd/2JAt39v8Hg/vQFsJ7+LJ39/J0GHAEm/toAAAIAqQAABEYHQgALABQAUQCyAAAAK7EJA+myAQIAK7EEA+m0BQgAAQ0rsQUD6QGwFS+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuxFgErsQkAERKxDA05OQAwMTMRIRUhESEVIREhFQE1EzMTFSMnB6kDk/0tAnf9iQLd/Pf2cPeZlpUFsJ7+LJ39/J0GJgwBEP7uCqqqAAMAqQAABEYHBwALABQAHQCFALIAAAArsQkD6bIBAgArsQQD6bQFCAABDSuxBQPpsBMvsBszsQ8K6bAXMgGwHi+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuzDAkACCuxERHpsAkQsRUBK7EaEemxHwErsQkMERKxDhM5ObAREbEPEjk5ALEPExESsRUaOTkwMTMRIRUhESEVIREhFQE0NjIWFAYiJiU0NjIWFAYiJqkDk/0tAnf9iQLd/OM3bDg4bDcBrjdsODhsNwWwnv4snf38nQadLT09Wjw8Ky0+Plo8PAAC/+AAAAGBB0IAAwAHACcAsgQAACuyBQIAKwGwCC+wBNaxBwvpsQkBK7EHBBESsQEDOTkAMDEDMxMjAxEzESDfwp8rwAdC/tr55AWw+lAAAAIAsAAAAlEHQgADAAcAKgCyBAAAK7IFAgArAbAIL7AE1rAAMrEHC+mxCQErsQcEERKxAQM5OQAwMRsBMwEDETMRsMHg/vSOwAYcASb+2vnkBbD6UAAAAAAC/+kAAAJGB0IACAAMACkAsgkAACuyCgIAKwGwDS+wCdaxDAvpsQ4BK7EMCRESsgMCBzk5OQAwMQM1EzMTFSMnBxMRMxEX9nD3mZaVNcAGJgwBEP7uCqqq+doFsPpQAAAD/9UAAAJeBwcACAAMABUASgCyCQAAK7IKAgArsAcvsBMzsQMK6bAPMgGwFi+wANaxBRHpsAUQsQkBK7EMC+mwDBCxDQErsRIR6bEXASsAsQMHERKxDRI5OTAxAzQ2MhYUBiImExEzERM0NjIWFAYiJis3bDg4bDfiwAw3bDg4bDcGnS09PVo8PPmQBbD6UAabLT4+Wjw8AAIABwAABOQFsAAPAB0AXQCyDgAAK7EQA+myAwIAK7EZA+m0AQAOAw0rsBwzsQEG6bAaMgGwHi+wDtawAjKxEAvpsBkyshAOCiuzQBAcCSuyDhAKK7NADgAJK7AQELEUASuxCQvpsR8BKwAwMRM1MxEhMgQSFxUUAgQHIRETMzISNzU0AicjETMVIwfAAZu+ASSfAZ/+2cT+bcDJ3vcB6dbg/PwCmpcCf6j+ysldzv7KpgICmv4DARL5XfgBEwL+H5cAAAACAKkAAAUIByIACQAhAIcAsgAAACuwBjOyAQIAK7AEM7AZL7ESBemzHhIZCCuxDQXpAbAiL7AA1rEJC+mwCRCxCgErtCEMABAEK7AhELEVASu0FgwAEAQrsBYQsQMBK7EGC+mxIwErsQkAERKwAjmxFSERErENGTk5sQMWERKwBzkAsQEAERKxAwg5ObAZEbEKITk5MDEzETMBETMRIwEREzQ2MzIeAjMyNjUXFAYjIi4CIyIGFanBAt+/wf0jDHldIzhgMx8rOXx7XCk8YSscKToFsPuZBGf6UARi+54GGmuMFDoSRC0MbIYUPg0/MQADAHb/7AUJBzgAEQAfACMAPQCyDgAAK7EVB+myBQIAK7EcCOkBsCQvsADWsRIL6bASELEYASuxCgvpsSUBK7EYEhESsw4FICIkFzkAMDETNTQSJDMyBBIdARQCBCMiJAI3FBIzMhI3NRACIyICBxMzEyN2kgELrK8BC5CQ/viwrP72k73TubrMA9C7ttEDVt/CnwKcadIBQqup/r/VXNb+waipATnb+/7hAQ/9bAEDARX+6/YEJP7aAAAAAAMAdv/sBQkHOAARAB8AIwA9ALIOAAArsRUH6bIFAgArsRwI6QGwJC+wANaxEgvpsBIQsRgBK7EKC+mxJQErsRgSERKzDgUgIiQXOQAwMRM1NBIkMzIEEh0BFAIEIyIkAjcUEjMyEjc1EAIjIgIHARMzAXaSAQusrwELkJD++LCs/vaTvdO5uswD0Lu20QMBJ8Hg/vQCnGnSAUKrqf6/1VzW/sGoqQE52/v+4QEP/WwBAwEV/uv2Av4BJv7aAAAAAAMAdv/sBQkHOAARAB8AKAA9ALIOAAArsRUH6bIFAgArsRwI6QGwKS+wANaxEgvpsBIQsRgBK7EKC+mxKgErsRgSERKzDgUgJCQXOQAwMRM1NBIkMzIEEh0BFAIEIyIkAjcUEjMyEjc1EAIjIgIHEzUTMxMVIycHdpIBC6yvAQuQkP74sKz+9pO907m6zAPQu7bRA1/2cPeZlpUCnGnSAUKrqf6/1VzW/sGoqQE52/v+4QEP/WwBAwEV/uv2AwgMARD+7gqqqgAAAwB2/+wFCQckABEAHwA3AHYAsg4AACuxFQfpsgUCACuxHAjpsC8vsSgF6bM0KC8IK7EjBekBsDgvsADWsRIL6bASELEgASu0NwwAEAQrsDcQsSsBK7QsDAAQBCuwLBCxGAErsQoL6bE5ASuxKzcRErUFFRwjDi8kFzkAsS8FERKxIDc5OTAxEzU0EiQzMgQSHQEUAgQjIiQCNxQSMzISNzUQAiMiAgcTNDYzMh4CMzI2NRcUBiMiLgIjIgYVdpIBC6yvAQuQkP74sKz+9pO907m6zAPQu7bRAy15XSM4YDMfKzl8e1wpPGErHCk6Apxp0gFCq6n+v9Vc1v7BqKkBOdv7/uEBD/1sAQMBFf7r9gMIa4wUOhJELQxshhQ+DT8xAAAAAAQAdv/sBQkG/QARAB8AKAAxAGoAsg4AACuxFQfpsgUCACuxHAjpsCcvsC8zsSMK6bArMgGwMi+wANaxEgvpsBIQsSABK7ElEemwJRCxKQErsS4R6bAuELEYASuxCgvpsTMBK7EpJRESswUVHA4kFzkAsSMnERKxKS45OTAxEzU0EiQzMgQSHQEUAgQjIiQCNxQSMzISNzUQAiMiAgcTNDYyFhQGIiYlNDYyFhQGIiZ2kgELrK8BC5CQ/viwrP72k73TubrMA9C7ttEDSzdsODhsNwGuN2w4OGw3Apxp0gFCq6n+v9Vc1v7BqKkBOdv7/uEBD/1sAQMBFf7r9gN/LT09Wjw8Ky0+Plo8PAABAFkAzgPdBGMACwAAEwkBNwkBFwkBBwkBWQFK/rh3AUkBSXf+uAFKd/61/rUBSQFQAU97/rEBT3v+sf6wewFR/q8AAAMAdv+jBR0F7AAXACAAKQBpALIRAAArsSMH6bIFAgArsR0I6QGwKi+wANaxGAvpsBgQsSYBK7ENC+mxKwErsRgAERKxFBY5ObAmEbUHERMFGyEkFzmwDRKxCAo5OQCxIxERErETFjk5sB0RsgoaKTk5ObAFErAHOTAxEzU0EiQzMhc3MwcWExUUAgQjIicHIzcmExQXASYjIgIHExYzMhI3NTQndpIBC6zWlGeNn4kCkP74sKuDYY6Qvr9iAjRmprbRA7hbebrMAzgCslPSAUKrfaX/u/7aY9b+wahSm+fAAV/0jQOIb/7r9v27QAEP/Wy2gwACAIz/7ASqBzYAEgAWADsAshAAACuxBgPpsgECACuwCjMBsBcvsADWsQML6bADELEJASuxDAvpsRgBK7EJAxESshATFTk5OQAwMRMRMxEUFjMyNjURMxEGAA8BIgATMxMjjL6uoaOtwQH+/9wz7/7k1t/CnwHQA+D8Jp6vrp4D2/wizv76EAIBAgZI/toAAAACAIz/7ASqBzYAEgAWADsAshAAACuxBgPpsgECACuwCjMBsBcvsADWsQML6bADELEJASuxDAvpsRgBK7EJAxESshATFTk5OQAwMRMRMxEUFjMyNjURMxEGAA8BIgABEzMBjL6uoaOtwQH+/9wz7/7kAafB4P70AdAD4Pwmnq+ungPb/CLO/voQAgECBSIBJv7aAAAAAgCM/+wEqgc2ABIAGwA7ALIQAAArsQYD6bIBAgArsAozAbAcL7AA1rEDC+mwAxCxCQErsQwL6bEdASuxCQMRErIQExc5OTkAMDETETMRFBYzMjY1ETMRBgAPASIAEzUTMxMVIycHjL6uoaOtwQH+/9wz7/7k3/Zw95mWlQHQA+D8Jp6vrp4D2/wizv76EAIBAgUsDAEQ/u4KqqoAAwCM/+wEqgb7ABIAGwAkAGYAshAAACuxBgPpsgECACuwCjOwGi+wIjOxFgrpsB4yAbAlL7AA1rEDC+mwAxCxEwErsRgR6bAYELEcASuxIRHpsCEQsQkBK7EMC+mxJgErsRwYERKxEAY5OQCxFhoRErEcITk5MDETETMRFBYzMjY1ETMRBgAPASIAEzQ2MhYUBiImJTQ2MhYUBiImjL6uoaOtwQH+/9wz7/7kyzdsODhsNwGuN2w4OGw3AdAD4Pwmnq+ungPb/CLO/voQAgECBaMtPT1aPDwrLT4+Wjw8AAACAA8AAAS7BzYACAAMADcAsgcAACuyAAIAK7ADMwGwDS+wB9awCTKxBgvpsQ4BK7EGBxESsgIKDDk5OQCxAAcRErACOTAxEzMJATMBESMRAxMzAQ/cAXoBfNr+CsACweD+9AWw/SUC2/xv/eECHwPxASb+2gAAAAACAKYAAARdBbAADQAWAEsAsgAAACuyAQIAK7QMDgABDSuxDAbptAMWAAENK7EDBukBsBcvsADWsQ0O6bECDjIysA0QsRIBK7EIDumxGAErALEWDhESsAg5MDEzETMRITIeARUUBCMhGQEhMjY1NCYnIaa6AReT3Hf++OP+7gEVjqCgiP7lBbD+22nCfsLn/scB0Zd4e5cBAAEAi//sBGoGEgAqAIQAsgAAACuyEgAAK7EZBumwJy+xBAbpAbArL7AA1rEqDumwKhCxJAErsQcN6bMKByQIK7EhDumwIS+xCg7psAcQsRwBK7EPDumxLAErsSEqERKzBBYVJyQXObAkEbEfGTk5sAoSsBI5sQ8cERKwDTkAsRkAERKwFTmwJxGyBw8WOTk5MDEzETQ2MzIWFRQGFRQeAhUUBiMiJic3HgEzMjY1NC4CNTQ2NTQmIyIZAYvPurTFgEu8Vsu2UbUmKzGHNWtxSr1Xi2hY2gRX0Ouzn33LRTNfkIhMn7IsHJsgLF5SNGCTilFZz1Rea/7b+6sAAAMAbf/sA+oGAAAeACIALACiALIYAAArshwAACuxJgfpshABACuxCAbpsggQCiuzQAgMCSu0AyscEA0rsQME6bAfLwGwLS+wANaxIw7psAwg1hGxCw7psCMQsSkBK7AEMrEUDumwGCDWEbEXC+mxLgErsSMMERKwHzmxKQsRErUQHCAhIiYkFzmwGBGwGjkAsSYYERKxFho5ObArEbEUADk5sQgDERKwEzmxHxARErAhOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJhMzEyMDFBYzMjY3NSMgbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNod/Cn+p0W1ecI5H+rAEsqbtVYXNkR1GXWLuk/g6VWBAgUoa1BV/+2vxsV2JaSN4AAwBt/+wD6gYAAB4AKAAsAKAAshgAACuyHAAAK7EiB+myEAEAK7EIBumyCBAKK7NACAwJK7QDJxwQDSuxAwTpsCovAbAtL7AA1rEfDumwDCDWEbELDumwHxCxJQErsAQysRQO6bAYINYRsRcL6bEuASuxJQsRErUQHCIpKiwkFzmwGBGwGjmwFBKwKzkAsSIYERKxFho5ObAnEbEUADk5sQgDERKwEzmxKhARErApOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJjcUFjMyNjc1IyAbATMBbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNuXRbV5wjkf6sucHg/vQBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtaVXYlpI3gLNASb+2gADAG3/7APqBgAAHgAnADEArQCyGAAAK7IcAAArsSsH6bIQAQArsQgG6bIIEAors0AIDAkrtAMwHBANK7EDBOmwIS8BsDIvsADWsSgO6bAMINYRsQsO6bAoELEuASuwBDKxFA7psBgg1hGxFwvpsTMBK7EoDBESsR8gOTmxLgsRErYQHCEiJScrJBc5sBgRsBo5sBQSsSMkOTkAsSsYERKxFho5ObAwEbEUADk5sQgDERKwEzmxIRARErAfOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJhM1EzMTFSMnBwMUFjMyNjc1IyBtAQHptHRxY4a6c8V2u9QEJsIQCoGzoM2q9nD3mZaVinRbV5wjkf6sASypu1Vhc2RHUZdYu6T+DpVYECBShrUEQwwBEP7uCqqq/GJXYlpI3gAAAAADAG3/7APqBewAHgA2AEAAzgCyGAAAK7IcAAArsToH6bIQAQArsQgG6bIIEAors0AIDAkrtAM/HBANK7EDBOmwLi+xJwXpszMnLggrsSIF6QGwQS+wANaxNw7psAwg1hGxCw7psDcQsDYg1hG0HwwAEAQrsB8vtDYMABAEK7A3ELE9ASuwBDKxFA7psBgg1hGwKjOxFwvptCsMABAEK7FCASuxPTYRErYIEBwiJy46JBc5sBgRsBo5ALE6GBESsRYaOTmwPxGxFAA5ObEIAxESsBM5sS4QERKxHzY5OTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJhM0NjMyHgIzMjY1FxQGIyIuAiMiBhUDFBYzMjY3NSMgbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNeHldIzhgMx8rOXx7XCk8YSscKTo7dFtXnCOR/qwBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtQRDa4wUOhJELQxshhQ+DT8x/GlXYlpI3gAABABt/+wD6gXFAB4AJwAxADoA5wCyGAAAK7IcAAArsSsH6bIiAgArsDQzsSYK6bA4MrIQAQArsQgG6bIIEAors0AIDAkrtAMwHBANK7EDBOkBsDsvsADWsSgO6bAMINYRsQsO6bMfKAAIK7EkEemwKBCxLgErsAQysRQO6bAUELA3INYRsTIR6bAyL7E3EemwLhCwGCDWEbEXC+mxPAErsQsoERKxISY5ObAkEbIcIiU5OTmwMhKyCBArOTk5sC4RsTQ5OTmwGBKwGjmwNxGxNTg5OQCxKxgRErEWGjk5sDARsRQAOTmxCAMRErATObEiJhESsTI3OTkwMRM0JDsBNTQmIyIGFSM0PgEzMhYXERQXFSMmJwYjIiYTNDYyFhQGIiYTFBYzMjY3NSMgATQ2MhYUBiImbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNljdsODhsNyN0W1ecI5H+rAGLN2w4OGw3ASypu1Vhc2RHUZdYu6T+DpVYECBShrUEui09PVo8PPwYV2JaSN4DTC0+Plo8PAAEAG3/7APqBlsAHgAoADIAPQDaALIYAAArshwAACuxIgfpshABACuxCAbpsggQCiuzQAgMCSu0AyccEA0rsQME6bAxL7Q2BAAUBCuwOy+0LAQAFAQrAbA+L7AA1rEfDumwDCDWEbELDumwHxCxKgErtDMMABAEK7AzELElASuwBDKxFA7psy4UJQgrtDkMABAEK7A5L7QuDAAQBCuwJRCwGCDWEbEXC+mxPwErsTkzERK2CBwiKywQMSQXObEuJRESsBo5ALEiGBESsRYaOTmwJxGxFAA5ObEIAxESsBM5sTs2ERKyKSouOTk5MDETNCQ7ATU0JiMiBhUjND4BMzIWFxEUFxUjJicGIyImNxQWMzI2NzUjIBI0NjIWFRQGIyInFBYzMjY0JiMiBm0BAem0dHFjhrpzxXa71AQmwhAKgbOgzbl0W1ecI5H+rEh7uHt8W1wYQzEwREMxMkIBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtaVXYlpI3gMorHp6Vld1zC9EQmJFRgAAAAADAE7/7AZ8BE4AKgA1AD0AtQCyKAAAK7AjM7EuBumwHTKyDwEAK7AVM7EIBumwOzK0NhooDw0rsDIzsTYF6bADMgGwPi+wANaxKw7psCsQsAsg1hGxDA7psAwvsQsO6bArELExASuwBDKxGg7psDYysBoQsTcBK7EYDumxPwErsTELERKyDyguOTk5sBoRsRIlOTmwNxKyFR0jOTk5sBgRsSAhOTkAsS4oERKwITmwGhGyACAlOTk5sQg2ERKyCwwSOTk5MDETNDY7ATU0JiMiBhUnNDYzMhYXPgEzMhIdASEeATMyPwEXBiMgJw4BIyImNxQWMzI2NzUjDgEBITU0JiMiBk7j3d9uaGmMuPK7c7AyP65p0uj9KAeulZR5L0Ce3v77iEHijae8umpjSJ4y5HWMAqECGoZ7c5UBMJ2uVWt7blETj7VTU09X/v/pc7C/TB+IebRWXq2TTV1KNu0CbgEBH4STqwACAFz+RAPsBE4AHQAsAJkAshsAACu0JQQAFAQrsgUBACuxDAbpsgwFCiuzQAwICSuwLC+0HgQAIQQrAbAtL7AA1rEQDumwEBCxIQErtCkMABsEK7ApELEWASuwCTKxFw3psAgysS4BK7EhEBESQAkMBRMbHiQlJywkFzmwKRGwJjmwFhKwCjmwFxGwBzkAsRseERKyJCcpOTk5sQwlERKyExYXOTk5MDETNTQ+ATMyFhcjLgEjIgYdARQWMzI2NzMOAiMiAAEyNjU0Jic3MwcWFRQGI1x02ZS28QivCI9pjZuaj2OUCK8FdsVu3f77AVdPV0BiIIUMmaCPAhMfnvaI2q5ph8vAI7vKeFpdqGQBJ/2cNC8sKgmGNBuSYXEAAAADAF3/7APzBgAAFQAZACEAcACyEwAAK7ENBumyBQEAK7EfBum0GgoTBQ0rsRoG6bAWLwGwIi+wANaxCg7psBoysAoQsRsBK7EIDumxIwErsQoAERKwFjmwGxG1BQ0TFxgZJBc5sAgSsRAROTkAsQoNERKxEBE5ObEWBRESsBg5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEzMTIwMhNS4BIyIGXXvdgdPq/SMEs4piiDNxiP7w3P7sod/Cn+QCHgiIdHCYAf8iof2P/ur+/U2gxVBCWNEBIQTz/tr9pg6Nm6MAAAADAF3/7APzBgAAFQAdACEAbACyEwAAK7ENBumyBQEAK7EbBum0FgoTBQ0rsRYG6bAfLwGwIi+wANaxCg7psBYysAoQsRcBK7EIDumxIwErsRcKERK1BQ0THh8hJBc5sAgRshARIDk5OQCxCg0RErEQETk5sR8FERKwHjkwMRM1ND4BMzISERUhHgEzMjY3FwYhIgATITUuASMiBhsBMwFde92B0+r9IwSzimKIM3GI/vDc/uy/Ah4IiHRwmKHB4P70Af8iof2P/ur+/U2gxVBCWNEBIQFzDo2bowHHASb+2gAAAAADAF3/7APzBgAAFQAeACYAdgCyEwAAK7ENBumyBQEAK7EkBum0HwoTBQ0rsR8G6bAYLwGwJy+wANaxCg7psB8ysAoQsSABK7EIDumxKAErsQoAERKxFhc5ObAgEbYFDRMYGRweJBc5sAgSsxARGhskFzkAsQoNERKxEBE5ObEYBRESsBY5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEzUTMxMVIycHAyE1LgEjIgZde92B0+r9IwSzimKIM3GI/vDc/uyq9nD3mZaVhAIeCIh0cJgB/yKh/Y/+6v79TaDFUEJY0QEhA9cMARD+7gqqqv2cDo2bowAAAAQAXf/sA/MFxQAVAB4AJgAvAKsAshMAACuxDQbpshkCACuwKTOxHQrpsC0ysgUBACuxJAbptB8KEwUNK7EfBukBsDAvsADWsQoO6bAfMrMWCgAIK7EbEemwChCxIAErsQgO6bMsCCAIK7EnEemwJy+xLBHpsTEBK7EbChESsRgdOTmwJxGzDRMFJCQXObAgErIiKS45OTmwLBGyECotOTk5sAgSsBE5ALEKDRESsRAROTmxGR0RErEnLDk5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEzQ2MhYUBiImEyE1LgEjIgYBNDYyFhQGIiZde92B0+r9IwSzimKIM3GI/vDc/uyWN2w4OGw3KQIeCIh0cJgBczdsODhsNwH/IqH9j/7q/v1NoMVQQljRASEETi09PVo8PP1SDo2bowJGLT4+Wjw8AAL/xgAAAWcF/wADAAcAMgCyBAAAK7IFAQArsAAvAbAIL7AE1rEHDumxCQErsQcEERKxAQM5OQCxAAURErACOTAxAzMTIwMRMxE638KfLboF//7a+ycEOvvGAAAAAgCWAAACNwX/AAMABwAzALIEAAArsgUBACuwAS8BsAgvsATWsAAysQcO6bEJASuxBwQRErADOQCxAQURErAAOTAxGwEzAQMRMxGWweD+9JC6BNkBJv7a+ycEOvvGAAAAAv/PAAACLAX/AAgADAA0ALIJAAArsgoBACuwAi8BsA0vsAnWsQwO6bEOASuxDAkRErIDAgc5OTkAsQIKERKwADkwMQM1EzMTFSMnBxMRMxEx9nD3mZaVM7oE4wwBEP7uCqqq+x0EOvvGAAAAA/+7AAACRAXEAAgADAAVAEwAsgkAACuyAwIAK7APM7EHCumwEzKyCgEAKwGwFi+wANaxBRHpsAUQsQkBK7EMDumwDBCxDQErsRIR6bEXASsAsQMHERKxDRI5OTAxAzQ2MhYUBiImExEzERM0NjIWFAYiJkU3bDg4bDfguhQ3bDg4bDcFWi09PVo8PPrTBDr7xgVYLT4+Wjw8AAAAAgB+/+wELQYsAB0AKwB0ALIaAAArsSEG6bApL7EEBumwDS+xDgPpAbAsL7AA1rEeDumwHhCxJAErsRYO6bEtASuxHgARErANObAkEbcEBgoOEBMaCyQXObAWErEREjk5ALEpIRESsAA5sAQRsAY5sA0StAgJEBITJBc5sA4RsBE5MDETND4BMzIXJicHJzcmJzcWFzcXBxIRFRQOASMiLgE3FBYzMjY9AScuASMiBn5wz4GjeTCN2knAhLc576+9Saj5ddiGh9x5uaeAfZkCIYtckaIB05PpgnLDjZRjg1sxnzaLgWRz/vj+Z12e/ZCB4IaMxOK4Xjg9Sb8AAgCMAAAD3wXsABEAKQCKALIAAAArsAgzsgEBACuyBQEAK7ENA+mwIS+xGgXpsyYaIQgrsRUF6QGwKi+wANaxEQ7psAIysBEQsCkg1hG0EgwAEAQrsBIvtCkMABAEK7ARELEJASuwHTKxCA7ptB4MABAEK7ErASuxCSkRErMFFQ0hJBc5ALEBDRESsAM5sSEFERKxEik5OTAxMxEzFzYzIBMRIxEuASMiBgcRAzQ2MzIeAjMyNjUXFAYjIi4CIyIGFYyvBnzIAVcDuQFpb1qIJml5XSM4YDMfKzl8e1wpPGErHCk6BDqInP59/TUCzHVwYE78/QTka4wUOhJELQxshhQ+DT8xAAAAAwBb/+wENAYAAA8AEwAfAE8Asg0AACuxFwbpsgUBACuxHQbpsBAvAbAgL7AA1rEUDumwFBCxGgErsQkO6bEhASuxFAARErAQObAaEbQFEQ0TEiQXOQCxEAURErASOTAxEzU0PgEzMgAdARQOASMiABMzEyMDFBYzMjY1NCYjIgZbfd+P3QEReeGS3P7vrd/Cn/WnjI2mqYyJqAIaDZ/+iv7O/g2e+4wBMgTi/tr9N7Ta3cey3doAAAMAW//sBDQGAAAPABsAHwBIALINAAArsRMG6bIFAQArsRkG6bAdLwGwIC+wANaxEA7psBAQsRYBK7EJDumxIQErsRYQERKzBQ0cHiQXOQCxHQURErAcOTAxEzU0PgEzMgAdARQOASMiADcUFjMyNjU0JiMiBhsBMwFbfd+P3QEReeGS3P7vuqeMjaapjImoxMHg/vQCGg2f/or+zv4NnvuMATLztNrdx7Ld2gH+ASb+2gAAAAMAW//sBDQGAAAPABgAJABRALINAAArsRwG6bIFAQArsSIG6bASLwGwJS+wANaxGQ7psBkQsR8BK7EJDumxJgErsRkAERKxEBE5ObAfEbQFEg0YFCQXOQCxEgURErAQOTAxEzU0PgEzMgAdARQOASMiABM1EzMTFSMnBwMUFjMyNjU0JiMiBlt934/dARF54ZLc/u+29nD3mZaVlaeMjaapjImoAhoNn/6K/s7+DZ77jAEyA8YMARD+7gqqqv0ttNrdx7Ld2gAAAwBb/+wENAXsAA8AJwAzAH4Asg0AACuxKwbpsgUBACuxMQbpsB8vsRgF6bMkGB8IK7ETBekBsDQvsADWsSgO6bMQKAAIK7QnDAAQBCuwKBCxLgErsQkO6bMcCS4IK7QbDAAQBCuwGy+0HAwAEAQrsTUBK7EbJxEStQ0TBR8rMSQXOQCxHwURErEQJzk5MDETNTQ+ATMyAB0BFA4BIyIAEzQ2MzIeAjMyNjUXFAYjIi4CIyIGFQMUFjMyNjU0JiMiBlt934/dARF54ZLc/u+EeV0jOGAzHys5fHtcKTxhKxwpOkanjI2mqYyJqAIaDZ/+iv7O/g2e+4wBMgPGa4wUOhJELQxshhQ+DT8x/TS02t3Hst3aAAAAAAQAW//sBDQFxQAPABgAJAAtAIEAsg0AACuxHAbpshMCACuwJzOxFwrpsCsysgUBACuxIgbpAbAuL7AA1rEZDumzEBkACCuxFRHpsBkQsR8BK7EJDumzKgkfCCuxJRHpsCUvsSoR6bEvASuxFRkRErESFzk5sCURsw0FHCIkFzmwHxKxKCs5OQCxExcRErElKjk5MDETNTQ+ATMyAB0BFA4BIyIAEzQ2MhYUBiImExQWMzI2NTQmIyIGATQ2MhYUBiImW33fj90BEXnhktz+76I3bDg4bDcYp4yNpqmMiagBljdsODhsNwIaDZ/+iv7O/g2e+4wBMgQ9LT09Wjw8/OO02t3Hst3aAn0tPj5aPDwAAwBHAKwELQS6AAMADQAXAC4AsAwvsQcK6bAAL7EBCemwFi+xEQrpAbAYL7AE1rAOMrEJEemwEzKxGQErADAxEzUhFQE0NjIWFRQGIiYRNDYyFhUUBiImRwPm/aA5cjs7cjk5cjs7cjkCWLi4/sEwQEAwLj8/A18wQEAwLz4+AAADAFv/egQ0BLgAFQAdACYAagCyDwAAK7EgBumyBAEAK7EbBukBsCcvsADWsRYO6bAWELEjASuxCw7psSgBK7EWABESsBM5sCMRtwcEDxIJFBkeJBc5sAsSsAg5ALEgDxESsREUOTmwGxGzCwAYJiQXObAEErEGCTk5MDETND4BMzIXNzMHFhEUDgEjIicHIzcmExQXASYjIgYTFjMyNj0BNCdbe+GPbl5JfGbDfOCQaFZKfGTNuWEBVz5Iiqi7N0KLp1cCJ5/9iyqUzZr+wJ7+iSOVy5UBN8JvArYg2v3AGdu5ELZvAAAAAgCI/+wD3AYAABAAFABdALILAAArsg4AACuxBQPpsgEBACuwCDOwES8BsBUvsADWsQMO6bADELEHASuwCzKxCg7psRYBK7EDABESsBE5sAcRsw4SExQkFzkAsQULERKwDDmxEQERErATOTAxExEzERQzMjcRMxEjJwYjIiYTMxMjiLnI1Ea5sARs0a21d9/CnwF6AsD9RfaeAxP7xmt/yQVL/toAAAAAAgCI/+wD3AYAABAAFABdALILAAArsg4AACuxBQPpsgEBACuwCDOwEi8BsBUvsADWsQMO6bADELEHASuwCzKxCg7psRYBK7EHAxESsw4REhQkFzmwChGwEzkAsQULERKwDDmxEgERErAROTAxExEzERQzMjcRMxEjJwYjIiYBEzMBiLnI1Ea5sARs0a21AUjB4P70AXoCwP1F9p4DE/vGa3/JBCUBJv7aAAAAAAIAiP/sA9wGAAAQABkAaACyCwAAK7IOAAArsQUD6bIBAQArsAgzsBMvAbAaL7AA1rEDDumwAxCxBwErsAsysQoO6bEbASuxAwARErEREjk5sAcRtA4TFBcZJBc5sAoSsRUWOTkAsQULERKwDDmxEwERErAROTAxExEzERQzMjcRMxEjJwYjIiYTNRMzExUjJweIucjURrmwBGzRrbWA9nD3mZaVAXoCwP1F9p4DE/vGa3/JBC8MARD+7gqqqgAAAAMAiP/sA9wFxQAQABkAIgCdALILAAArsg4AACuxBQPpshQCACuwHDOxGArpsCAysgEBACuwCDMBsCMvsADWsQMO6bMRAwAIK7EWEemwAxCxBwErsAsysQoO6bMfCgcIK7EaEemwGi+xHxHpsSQBK7EDERESsRMYOTmwFhGxFBc5ObAaErEOBTk5sAcRsRwhOTmwHxKxHSA5OQCxBQsRErAMObEUGBESsRofOTkwMRMRMxEUMzI3ETMRIycGIyImEzQ2MhYUBiImJTQ2MhYUBiImiLnI1Ea5sARs0a21bDdsODhsNwGuN2w4OGw3AXoCwP1F9p4DE/vGa3/JBKYtPT1aPDwrLT4+Wjw8AAACABb+SwOwBgAADwATAHcAsgABACuwAzOwES8BsBQvsAPWsQQQ6bEVASuwNhq6+uXANAAVKwoOsAkQsAbAsQoW+bALwLAJELMHCQYTK7IHCQYgiiCKIwYOERI5ALMHCQoLLi4uLgGzBwkKCy4uLi6wQBoBsQQDERKwEjkAsREAERKwEDkwMRMzARMzAQIjLwE1FzI2PwEDEzMBFsoBDvzG/k1l3CNFMl5pIikCweD+9AQ6/NUDK/sf/vIDDZYETGVuBM4BJv7aAAIAlf5gBCcGAAAPABoAVQCyDAAAK7ESBumyBQEAK7EYA+mwAC+wAS8BsBsvsADWsQ8O6bECEDIysA8QsRUBK7EJDumxHAErsRUPERKxBQw5OQCxEgwRErAOObEFGBESsAM5MDETETMRNjMyEhEVFAIjIicZARYzMjY1NCYjIgeVuXHCw+PiwcVxU6uFnZyIqFT+YAeg/cqE/tr++hH3/tJ9/fcCt5TT0LfUlQADABb+SwOwBcUADwAYACEAuQCyEwIAK7AbM7EXCumwHzKyAAEAK7ADMwGwIi+wENaxFRHpsBUQsQMBK7EEEOmzHgQDCCuxGRHpsBkvsR4R6bEjASuwNhq6+uXANAAVKwoOsAkQsAbAsQoW+bALwLAJELMHCQYTK7IHCQYgiiCKIwYOERI5ALMHCQoLLi4uLgGzBwkKCy4uLi6wQBoBsRUQERKwATmwGRGxAg85ObADErEbIDk5sB4RsRwfOTkAsRMXERKxGR45OTAxEzMBEzMBAiMvATUXMjY/AQM0NjIWFAYiJiU0NjIWFAYiJhbKAQ78xv5NZdwjRTJeaSIp3jdsODhsNwGuN2w4OGw3BDr81QMr+x/+8gMNlgRMZW4FTy09PVo8PCstPj5aPDwAAAAAAgBo/+sHCQXEABcAIwCEALISAAArsQ8D6bIUAAArsRsG6bIHAgArsQoD6bIFAgArsSAG6bQLDhQFDSuxCwPpAbAkL7AA1rEYDumwGBCxHQErsQ8L6bAKMrIPHQors0APCQkrsBAys0APDQkrsSUBK7EdGBESsRQFOTmwDxGwEjkAsQ8bERKwHTmxIAoRErAeOTAxExE0EjYzMhchFSERIRUhESEVIQYjIiYCNxQWMzI3ESYjIgYHaIv+onyqA0b9LQJ3/YkC3fywsnKi/oy5w7BxZm1srcICAjsBNawBEZcUnv4snf38nRWWAQ+w0+sOBI4P5c8AAAADAGH/7AcABE4AIAAsADQAlwCyHgAAK7AYM7EkBumwEzKyBQEAK7ALM7EqBumwMjK0LRAeBQ0rsS0G6QGwNS+wANaxIQ7psCEQsScBK7EQEOmwLTKwEBCxLgErsQ4O6bE2ASuxJyERErEeBTk5sBARsQgbOTmwLhKyCxMYOTk5sA4RsRUWOTkAsSQeERKwFjmwEBGxFRs5ObAtErEhJzk5sCoRsAg5MDETNTQ+ATMyFhc+ATMyFh0BIR4BMzI3FwYjIiYnDgEjIgA3FBYzMjY1NCYjIgYFITU0JiMiBmF5246JyT1BxHDP6v0yB6SGvHhKifWHzT8+x4bc/vi5oIuJoKGKh6IDHgIOiXZjlgIaDaD+iXVkZnP+63SqxWx+hHBkY3EBMPW32NfOttnWVxp9lqMAAAMADwAABLsG+wAIABEAGgBdALIHAAArsgACACuwAzOwEC+wGDOxDArpsBQyAbAbL7AJ1rEOEemwDhCxBwsrsQYL6bAGELESASuxFxHpsRwBK7EGDhESsAI5ALEABxESsAI5sQwQERKxEhc5OTAxEzMJATMBESMRAzQ2MhYUBiImJTQ2MhYUBiImD9wBegF82v4KwN43bDg4bDcBrjdsODhsNwWw/SUC2/xv/eECHwRyLT09Wjw8Ky0+Plo8PAAAAAEAqQTkAwYGAAAIACsAsAAvsAUztAIKAA8EKwGwCS+wANa0BREABwQrsQoBKwCxAgARErAHOTAxEzUTMxMVIycHqfZw95mWlQTkDAEQ/u4KqqoAAAEAewTZAz4F6AAXAD8AsA8vsQgF6bMUCA8IK7EDBekBsBgvsADWtBcMABAEK7AXELELASu0DAwAEAQrsRkBK7ELFxESsQMPOTkAMDETNDYzMh4CMzI2NRcUBiMiLgIjIgYVe3ldIzhgMx8rOXx7XCk8YSscKToE4GuMFDoSRC0MbIYUPg0/MQABACUCHwINArYAAwAAEzUhFSUB6AIfl5cAAAAAAQAlAh8CDQK2AAMAABM1IRUlAegCH5eXAAAAAAEAJQIfAg0CtgADAAATNSEVJQHoAh+XlwAAAAABAKMCiwSNAyIAAwAXALAAL7EBBumxAQbpAbAEL7EFASsAMDETNSEVowPqAouXlwABAJECiwXJAyIAAwAXALAAL7EBBumxAQbpAbAEL7EFASsAMDETNSEVkQU4AouXlwABAGAEMQF4BhMACAAlALAAL7QECgAJBCsBsAkvsADWsQgO6bEKASuxCAARErAEOQAwMRM1NDY3FwYHFWBhTWpdAwQxdGbIQEh/k4gAAQAwBBYBRwYAAAgAJQCwCC+0AwoACQQrAbAJL7AC1rEFDumxCgErsQUCERKwCDkAMDETNjc1MxUOAQcwXQO3AWFMBF6CkJCCZMc9AAEAJP7lATsAtQAIACUAsAgvtAMKAAkEKwGwCS+wAtaxBQ7psQoBK7EFAhESsAg5ADAxFzY3NTMVFAYHJFsDuWNL0n+SdmRlyj0AAAACAGgEMQK7BhMACAARAEIAsAAvsAkztAQKAAkEK7ANMgGwEi+wANaxCA7psAgQsQkBK7ERDumxEwErsQgAERKwBDmwCRGwBTmwERKwDTkAMDETNTQ2NxcGBxUzNTQ2NxcGBxVoYU1qXQODYU1qXQMEMXRmyEBIf5OIdGbIQEh/k4gAAAACADwEFgKGBgAACAARAEIAsAgvsBEztAMKAAkEK7AMMgGwEi+wAtaxBQ7psAUQsQsBK7EODumxEwErsQUCERKwCDmwCxGwCTmwDhKwETkAMDETNjc1MxUOAQc3Njc1MxUOAQc8XQO3AWFMyl0DtwFhTARegpCQgmTHPUiCkJCCZMc9AAACACT+0wJkAPYACAARAEIAsAgvsBEztAMKAAgEK7AMMgGwEi+wAtaxBQ7psAUQsQsBK7EODumxEwErsQUCERKwCDmwCxGwCTmwDhKwETkAMDEXNjc1MxUUBgc3Njc1MxUUBgckWwO5Y0u/WwO6YU7liZm5pGzTQEiJmbmka9FDAAEAigIXAiIDywANAC4AsAsvtAQKAAoEK7QECgAKBCsBsA4vsADWtAgRAAoEK7QIEQAKBCuxDwErADAxEzU0NjMyFh0BFAYjIiaKb1xbcm5eXW8C3iZXcG1dJVdubwAAAAMAlP/1BM4A0QAJABMAHQBFALIIAAArsREbMzOxAwrpsQwWMjKyCAAAK7EDCukBsB4vsADWsQUR6bAFELEKASuxDxHpsA8QsRQBK7EZEemxHwErADAxNzQ2MhYVFAYiJiU0NjIWFRQGIiYlNDYyFhUUBiImlDlyOztyOQG1OXI7O3I5AZ85cjs7cjlhMEBAMC4+Pi4wQEAwLj4+LjBAQDAuPj4AAQBsAJkCIAO1AAYAIQABsAcvsADWtAURAAoEK7ADMrEIASuxBQARErAEOQAwMRM1ATMJASNsASeN/v4BAo0CHRMBhf5x/nMAAQBZAJgCDgO1AAYAIQABsAcvsADWsAIytAURAAoEK7EIASuxBQARErABOQAwMTcJATMBFQFZAQL+/o4BJ/7ZmAGOAY/+exP+ewAAAAEAX//sBBwFxAAjAJEAsiAAACuxGwPpsgkCACuxDgPptAABIAkNK7AVM7EABOmwFzK0BQQgCQ0rsBMzsQUE6bARMgGwJC+wI9axAgYyMrEYC+mxERQyMrIYIwors0AYEwkrsBYysiMYCiuzQCMECSuwADKxJQErsRgjERKwBzkAsRsgERKwHjmwABGwHTmxDgURErAMObAJEbALOTAxEzUzNSM1MxIAMzIXByYjIgYHIRUhFSEVIR4BMzI3FwYjIgADX7KysgoBHfNqhxRtbqSxBgF//oABgP6ABLSldGYUeHj4/uMGAh18iX0BBgEfH6Ijy7x9iXzD0iKgHgElAQwAAAAAAgBnA5cEOAWwAAcAFAB4ALIBAgArsQkMMzO0AAQAFAQrsAMysgABCiuzQAAGCSuyCA4RMjIyAbAVL7AG1rQFDAAQBCuyBQYKK7NABQMJK7IGBQors0AGAAkrsAUQsQgBK7QUDAAQBCuwFBCxDwErtA4MABAEK7EWASuxDxQRErEKDDk5ADAxEzUhFSMRIxEBETMbATMRIxEDIwMRZwGCk1sBPXCQkHBajDSMBV9RUf44Acj+OAIZ/nEBj/3nAYr+dgGJ/ncAAAABAAAAAAQ4BDgAAwA1ALIAAAArtAEKAAcEK7IAAAArtAEKAAcEKwGwBC+wANa0AxEABwQrtAMRAAcEK7EFASsAMDExESERBDgEOPvIAAAAAAIAHwAAA80GFQAVABkAegCyFAAAK7AWM7IBAQArsQ8XMzOxAAXpsBEysAsvsQYI6QGwGi+wFNawAjKxEw7psA4yshMUCiuzQBMRCSuyFBMKK7NAFAAJK7ATELEWASuxGQ7psRsBK7EWExESsQsGOTmwGRGxCQg5OQCxCwERErAJObAGEbAIOTAxEzUzNTQ2MzIXByYjIgYdATMVIxEjEQERMxEfq8+9cKsffXF3ad3dugJJugOrj1y1yj2cMmtrXo/8VQOr/FUEOvvGAAEAPAAAA+kGFQAWAG4AshUAACuwCTOyAQEAK7AQM7EABemwEjKwDS+xBgPpAbAXL7AV1rACMrEUDumwDzKyFBUKK7NAFBIJK7IVFAors0AVAAkrsBQQsQoBK7EJDumxGAErsQoUERKwBjkAsQ0BERKwCzmwBhGwCDkwMRM1MzU+ATMyBREjESYjIh0BMxUjESMRPKsBwLFlASu5fEzI5+e5A6uPdq24PfooBWMU0muP/FUDqwAAAAACADwAAAYyBhUAJwArAKUAsiYAACuxISgzM7IBAQArsg8dKTMzM7EABemxHyMyMrALL7AZM7EGA+mwFDIBsCwvsCbWsAIysSUO6bAOMrImJQors0AmAAkrsCUQsSIBK7AQMrEhDumwHDKyISIKK7NAIR8JK7AhELEoASuxKw7psS0BK7EiJRESsQYIOTmxKCERErEZFDk5sCsRsRcWOTkAsQsBERKxCRc5ObAGEbEIFjk5MDETNTM1NDYzMhcHJiMiBh0BITU0NjMyFwcmIyIGHQEzFSMRIxEhESMRAREzETyruqpAPwovNVpiAZDPvXCrH31yd2ne3rn+cLkEkrkDq49vrr4RlglpYnJctco9nDJqbF6P/FUDq/xVA6v8VQQ6+8YAAQA8AAAGMgYVACgAmQCyJwAAK7EXIjMzsgEBACuxDx4zM7EABemxICQyMrALL7AbM7EGA+mwFDIBsCkvsCfWsAIysSYO6bAOMrInJgors0AnAAkrsCYQsSMBK7AQMrEiDumwHTKyIiMKK7NAIiAJK7AiELEYASuxFw7psSoBK7EjJhESsQYIOTmxGCIRErAUOQCxCwERErEJGTk5sAYRsQgWOTkwMRM1MzU0NjMyFwcmIyIGHQEhNT4BMzIFESMRJiMiHQEzFSMRIxEhESMRPKu6qkA/Ci81WmIBkAHAsWUBK7l8TMjn57n+cLkDq49vrr4RlglpYnJ2rbg9+igFYxTSa4/8VQOr/FUDqwAAAAABAAAAAiMSKuo7kV8PPPUAHwgAAAAAAMTwES4AAAAA2quuiP+7/hEHVweRAAAACAACAAAAAAAAAAEAAAhz/a0AAAeh/7v/tgdXAAEAAAAAAAAAAAAAAAAAAADqAuwARAAAAAAB+wAAAAAAAAH7AAACDwCgAo8AiATtAHcEfgBuBdwAaQT5AGUBZQBnArwAhQLIACYDcgAcBIkATgGSAB0CNQAlAhsAkANMABIEfgBzBH4AqgR+AF0EfgBeBH4ANQR+AJoEfgCEBH4ATQR+AHAEfgBkAfAAhgGxACkEEQBIBGQAmAQuAIYDxwBLBy8AagU4ABwE+wCpBTUAdwU/AKkEjACpBGwAqQVzAHoFtACpAi0AtwRqADUFBACpBE4AqQb8AKkFtACpBYAAdgUMAKkFgABtBO0AqAS/AFAExgAxBTAAjAUXABwHGQA9BQQAOQTOAA8EygBWAh8AkgNIACgCHwAJA1gAQAOcAAQCeQA5BFoAbQR9AIwEMABcBIMAXwQ9AF0CxwA8BH0AYARoAIwB8QCNAen/vwQOAI0B8QCcBwMAiwRqAIwEkABbBH0AjASMAF8CtQCMBCAAXwKdAAkEaQCIA+AAIQYDACsD9wApA8kAFgP3AFgCtQBAAfMArwK1ABMFcQCDAfsAAAHzAIsEYABpBKYAWwW0AGkEMwAPAesAkwToAFoDWABlBkkAWwOTAJMDwQBmBG4AfwI1ACUGSgBaA6oAjgL9AIIERgBhAu8AQgLvAD4CggB7BIgAmgPpAEMCFgCTAfsAdALvAHoDowB6A8AAZgXcAFUGNQBQBjkAbwPJAEQFOAAcBTgAHAU4ABwFOAAcBTgAHAU4ABwHev/yBTUAdwSMAKkEjACpBIwAqQSMAKkCLf/gAi0AsAIt/+kCLf/VBV0ABwW0AKkFgAB2BYAAdgWAAHYFgAB2BYAAdgREAFkFgAB2BTAAjAUwAIwFMACMBTAAjATOAA8EugCmBMIAiwRaAG0EWgBtBFoAbQRaAG0EWgBtBFoAbQbBAE4EMABcBD0AXQQ9AF0EPQBdBD0AXQH6/8YB+gCWAfr/zwH6/7sEsAB+BGoAjASQAFsEkABbBJAAWwSQAFsEkABbBJEARwSIAFsEaQCIBGkAiARpAIgEaQCIA8kAFgScAJUDyQAWB6EAaAdEAGEEzgAPA8QAqQPGAHsDyAAAB5EAAAPIAAAHkQAAAoUAAAHkAAABQgAAAUIAAADyAAABgwAAAGsAAAI1ACUCNQAlAjUAJQVAAKMGPwCRAZkAYAGZADABlwAkAtQAaALbADwCwQAkArIAigVaAJQBgwAAAmYAbAJmAFkB5AAABH4AXwUBAGcEOAAABG4AHwSLADwG1AA8ADwAAAAAACwALAAsACwALABqAKIBjgIcAr4DVAN6A6oD2AQMBE4EdASSBLoE0gUgBVAFsAYqBnQG7gdSB3YH9AhcCJoI2gj2CRgJNAmkCnwKrgsSC24LrgvqDCAMjAzEDOINHg1SDXgNxA3+DlIOlg76D1YPyA/4EDYQWhEGETgRaBGWEcIR2BIKEigSQhJkEuYTQBOcE/oUWhSoFSAVYhWeFewWIhY+FqIW5hcwF4wX7BggGJAY4hkkGUwZtBnkGjYaZBq2GtQbJht4G3gbuBwmHJwdHB2AHaYeUh6SH0AfsB/SH/ogGCDaIPghQiGOIewiZiKGItYjCiMwI2ojkiPaI/4kbiUAJdAmQiZ6JrQm9CdsJ9ooTCiyKT4phCnIKhYqiiqyKt4rDitaK7wsNCySLPItVi3oLm4ukC8KL1IvnC/qMFowljDiMWAx9DKIMyoz7DS2NXw2MDbANzI3pDggOMI48DkgOVY5pDoiOqY7AjtcO8A8TDzUPRQ9iD3cPjI+kj8YP3w/0kBqQOZBgEHgQgpCTkJOQk5CTkJOQk5CTkJOQk5CTkJOQk5CXEJqQnhCkEKoQs5C9EMaQ1xDnkPeRA5EYERgRIREqkSqRSxFkEW4Rh5GekcMR5QAAQAAAOsARQAFAAAAAAACAAEAAgAWAAABAAFmAAAAAAAAABIA3gADAAEECQAAAF4AAAADAAEECQABAAwAXgADAAEECQACAA4AagADAAEECQADAAwAeAADAAEECQAEABwAhAADAAEECQAFACYAoAADAAEECQAGABwAxgADAAEECQAHAEAA4gADAAEECQAJAAwBIgADAAEECQALABQBLgADAAEECQAMACYBQgADAAEECQANAFwBaAADAAEECQAOAFQBxAADAAEECQDIABYCGAADAAEECQDJADACLgADAAEECQDKAA4CXgADAAEECQDLAAYCbAADAAEECdkDABoCcgBDAG8AcAB5AHIAaQBnAGgAdAAgADIAMAAxADEAIABHAG8AbwBnAGwAZQAgAEkAbgBjAC4AIABBAGwAbAAgAFIAaQBnAGgAdABzACAAUgBlAHMAZQByAHYAZQBkAC4AUgBvAGIAbwB0AG8AUgBlAGcAdQBsAGEAcgBSAG8AYgBvAHQAbwBSAG8AYgBvAHQAbwAgAFIAZQBnAHUAbABhAHIAVgBlAHIAcwBpAG8AbgAgADIALgAxADMANwA7ACAAMgAwADEANwBSAG8AYgBvAHQAbwAtAFIAZQBnAHUAbABhAHIAUgBvAGIAbwB0AG8AIABpAHMAIABhACAAdAByAGEAZABlAG0AYQByAGsAIABvAGYAIABHAG8AbwBnAGwAZQAuAEcAbwBvAGcAbABlAEcAbwBvAGcAbABlAC4AYwBvAG0AQwBoAHIAaQBzAHQAaQBhAG4AIABSAG8AYgBlAHIAdABzAG8AbgBMAGkAYwBlAG4AcwBlAGQAIAB1AG4AZABlAHIAIAB0AGgAZQAgAEEAcABhAGMAaABlACAATABpAGMAZQBuAHMAZQAsACAAVgBlAHIAcwBpAG8AbgAgADIALgAwAGgAdAB0AHAAOgAvAC8AdwB3AHcALgBhAHAAYQBjAGgAZQAuAG8AcgBnAC8AbABpAGMAZQBuAHMAZQBzAC8ATABJAEMARQBOAFMARQAtADIALgAwAFcAZQBiAGYAbwBuAHQAIAAxAC4AMABUAGgAdQAgAEEAcAByACAAIAAyACAAMQA1ADoAMAAwADoAMgA0ACAAMgAwADIAMABkAGUAZgBhAHUAbAB0AGwAZQBvAEYAbwBuAHQAIABTAHEAdQBpAHIAcgBlAGwAAAACAAAAAAAA/XYAZAAAAAAAAAAAAAAAAAAAAAAAAAAAAOsAAAECAQMBBAADAAQABQAGAAcACAAJAAoACwAMAA0ADgAPABAAEQASABMAFAAVABYAFwAYABkAGgAbABwAHQAeAB8AIAAhACIAIwAkACUAJgAnACgAKQAqACsALAAtAC4ALwAwADEAMgAzADQANQA2ADcAOAA5ADoAOwA8AD0APgA/AEAAQQBCAEMARABFAEYARwBIAEkASgBLAEwATQBOAE8AUABRAFIAUwBUAFUAVgBXAFgAWQBaAFsAXABdAF4AXwBgAGEBBQCjAIQAhQC9AJYA6ACGAI4AiwCdAKkApAEGAIoA2gCDAJMBBwEIAI0AlwCIAMMA3gEJAJ4AqgD1APQA9gCiAK0AyQDHAK4AYgBjAJAAZADLAGUAyADKAM8AzADNAM4A6QBmANMA0ADRAK8AZwDwAJEA1gDUANUAaADrAO0AiQBqAGkAawBtAGwAbgCgAG8AcQBwAHIAcwB1AHQAdgB3AOoAeAB6AHkAewB9AHwAuAChAH8AfgCAAIEA7ADuALoAsACxALsA2ADZAQoBCwEMAQ0BDgEPARABEQESARMBFAEVARYBFwCyALMAtgC3AMQAtAC1AMUAhwCrARgAvgC/ARkBGgCMARsBHAEdAR4BHwZnbHlwaDEHdW5pMDAwRAd1bmkwMDAyB3VuaTAwQTAHdW5pMDBBRAd1bmkwMEIyB3VuaTAwQjMHdW5pMDBCOQd1bmkyMDAwB3VuaTIwMDEHdW5pMjAwMgd1bmkyMDAzB3VuaTIwMDQHdW5pMjAwNQd1bmkyMDA2B3VuaTIwMDcHdW5pMjAwOAd1bmkyMDA5B3VuaTIwMEEHdW5pMjAxMAd1bmkyMDExCmZpZ3VyZWRhc2gHdW5pMjAyRgd1bmkyMDVGBEV1cm8HdW5pMjVGQwd1bmlGQjAxB3VuaUZCMDIHdW5pRkIwMwd1bmlGQjA0ALgB/4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWACwAyBFsAMrRLAGIEWyA7ACK7ADK0SwBSBFsgZVAiuwAytEsAQgRbIFLgIrsAMrRLAHIEW6AAMBGAACK7ADK0SwCCBFsgeVAiuwAytEsAkgRbIIOgIrsAMrRLAKIEWyCR0CK7ADK0QBsAsgRbADK0SwDiBFsguQAiuxA0Z2K0SwDSBFsg5GAiuxA0Z2K0SwDCBFsg0wAiuxA0Z2K0SwDyBFugALf/8AAiuxA0Z2K0SwECBFsg/FAiuxA0Z2K0SwESBFshAvAiuxA0Z2K0RZsBQrAA==) format('truetype');
+}
+
+body
+{
+/* Re-adding horizontal scrollbar
+ overflow-x: hidden;
+ background-color: #f7f7f7;
+*/
+ background-color: #f3f3f0;
+ color: #58544f;
+ margin-top: 0px;
+}
+
+.isHidden { display: none; }
+
+.page-root
+{
+ /*width: 1880px;*/
+ /* Made this bigger to better match actual width and avoid flickering due to the horizontal Scrollbar showing up */
+ width: 1903px;
+ overflow: visible;
+ margin: 0 auto;
+ position: relative;
+}
+.page-root-vertical
+{
+ width: 1056px;
+ overflow: visible;
+ margin: 0 auto;
+ position: relative;
+}
+.page-column-main { width: 930px; position: absolute;}
+.page-column-detail { position: absolute; left: 1005.0px; }
+.page-all-summaries { position: absolute; top:160px; left: -12px; width: 960px; }
+
+.pos-feature-summary
+{
+ width: 1056px;
+ height:162px;
+ position: relative;
+}
+
+.container-feature-summary
+{
+ width: 1056px;
+ height:175px;
+ position: absolute;
+}
+.container-feature-summary-target
+{
+ width: 1056px;
+ height:175px;
+ position: relative;
+}
+.container-feature-detail
+{
+ height:900px;position:sticky;top:0;
+ transform: scale(1.0);transform-origin: 0 0;
+}
+.container-feature-detail-vertical
+{
+ width: 900px;height:900px;position:absolute; top: 151px; left:93px
+}
+.container-feature-detail__offset
+{
+ height:900px;position:absolute;top:0px;left:-17px
+}
+
+.color-source { color: #0088ed; }
+.button-border-source { border:1px solid #0088ed; }
+.color-source-target { color: #004bd1; }
+.color-compare { color: #f77721; }
+.button-border-compare { border:1px solid #f77721; }
+.color-compare-target { color: #e54600; }
+.color-normal { color: #58544f; }
+.color-target-summary { color: #CFC8BC; }
+.color-light { color: #837d76; }
+.color-red { color: #ff0000; }
+.dim { opacity: 0.5; }
+.color-title-disabled { color: #e2e2e2; }
+
+a { color: #58544f; }
+.text-dataframe-title { font-family: RobotoBoldCond; font-size: 24px; }
+.text-dataframe-title-small { font-family: RobotoBoldCond; font-size: 20px; }
+.text-large-bold { font-family: RobotoBoldCond; font-size: 15.4px; }
+.text-med-bold { font-family: RobotoBoldCond; font-size: 12px; }
+.text-med { font-family: RobotoMed; font-size: 12px; }
+.text-small-med { font-family: RobotoMed; font-size: 10px; }
+.text-small-bold { font-family: RobotoBoldCond; font-size: 10px; }
+.text-label { font-family: RobotoReg; font-size: 11px;}
+.text-value { font-family: RobotoMed; font-size: 11px; }
+.text-distinct { font-family: RobotoMed; font-size: 12px; font-weight: bold;}
+.text-version { font-family: RobotoReg; font-size: 14px; font-weight: bold; }
+.text-credits { font-family: RobotoReg; font-size: 9px;}
+
+.pos-logo-group { position: absolute; top:0px; left:0px; width: 380px; height: 200px; text-align: center;}
+.pos-logo { position: relative;
+ margin-left: auto;
+ margin-right: auto;
+ top: 32px; }
+.pos-credits { position: relative; top:26px; text-align: center; }
+
+.row-colored { background-color: #00000008; }
+.row-missing { background-color: #00000008; text-indent: 4px; height: 16px; width: 250px; }
+.assoc-row { height: 13px; line-height: 11px; text-indent: 4px; }
+.assoc-row-target { height: 13px; line-height: 11px; text-indent: 4px; background-color: #221F1F; color: #c1b9af; }
+.row-numeric-summary { height: 13px; line-height: 11px; width: 140px; }
+.row-separator-bottom { border-bottom: 1px solid #00000018; }
+.row-separator-top { border-top: 1px solid #00000018; }
+.breakdown-row { height: 13px; line-height: 11px; text-indent: 4px; }
+.breakdown-row-header { height: 26px; text-indent: 4px; }
+.breakdown-row-header-2-lines { height: 30px; text-indent: 4px; }
+.breakdown-hr { position:absolute; top: 13px; left: 10px; width: 592px; }
+.breakdown-hr-2-lines { position:absolute; top: 20px; left: 10px; width: 592px; }
+
+/* TAB ICON/NAME */
+.text-title-tab { font-family: RobotoBoldCond; font-size: 15.4px; position: absolute; left: 74px; top: 24px; width:250px; }
+.pos-tab-image { position: absolute; left: 45px; top: 21px; }
+.pos-detail-tab-icon-text__offset { position: absolute; left: -4px; top: -4px; }
+.pos-text-title-tab__no-icon { position: absolute; left: 37px; top: 17px; }
+
+/*
+ DATAFRAME SUMMARY
+------------------------------------*/
+.pos-dataframe-summary-title-source { position: absolute; left: 0px; top: 12px; width: 250px; text-align: right; }
+.pos-dataframe-summary-title-compare { position: absolute; left: 350px; top: 12px; width: 250px; text-align: left; }
+.pos-dataframe-summary-title-compare-none { position: absolute; left: 350px; top: 16px; width: 250px; text-align: left; }
+.pos-dataframe-summary { position: absolute; top: 9px; left: 380px; }
+.pos-dataframe-summary-rows { position: absolute; top: 47px; left: 19px; }
+.dataframe-summary-row { height: 13px; width: 563px; line-height: 12px; }
+.pos-df-summary-source { position: absolute; left: 0px; width: 231px; text-align: right;}
+.pos-df-summary-center { position: absolute; left: 231px; width: 100px; text-align: center;}
+.pos-df-summary-compare { position: absolute; left: 331px; width: 200px; text-align: left;}
+.size-df-summary-button { width: 156px; height: 35px; }
+.pos-df-summary-button-assoc-source { position: absolute; top: 54px; left: 10px; }
+.pos-df-summary-button-assoc-compare { position: absolute; top: 54px; left: 397px; }
+
+/*
+ FEATURE SUMMARY
+------------------------------------*/
+.summary-number
+{
+ position: absolute; top: 17px; left: 0px; width: 34px;
+ font-family: RobotoBoldCond; font-size: 26px;
+ color: #d9d9d9; text-align: right;
+}
+.summary-number-vertical
+{
+ position: absolute; top: 25px; left: 6px; width: 34px;
+ font-family: RobotoBoldCond; font-size: 26px;
+ color: #d9d9d9; text-align: right;
+ text-orientation: mixed;
+ writing-mode: vertical-rl;
+}
+
+/* BASE STATS */
+.pos-base-stats { position: absolute; top: 65px; left: 74px; }
+.pos-base-stats-in-detail { position: absolute; top: 49px; left: 68px; }
+.base-stats-row { height: 13px; width: 200px; }
+.pos-base-stats__label { position: absolute; left: 0px; text-align: left;}
+.pos-base-stats__source { position: absolute; left: 55px; width: 55px; text-align: right;}
+.pos-base-stats__source-perc { position: absolute; left: 113px; width: 35px; text-align: right;}
+.pos-base-stats__compare { position: absolute; left: 153px; width: 55px; text-align: right;}
+.pos-base-stats__compare-perc { position: absolute; left: 211px; width: 35px; text-align: right;}
+
+/* These are all NUMERICAL SUMMARY actually! */
+.pos-summary-numeric-group1 { position: absolute; top: 67px; left: 372px; }
+.pos-summary-numeric-group2 { position: absolute; top: 67px; left: 560px; }
+.pos-summary-numeric-source { position: absolute; left: 40px; width: 50px; text-align: right;}
+.pos-summary-numeric-compare { position: absolute; left: 90px; width: 50px; text-align: right;}
+.pos-summary-numeric-source-wide { position: absolute; left: 40px; width: 64px; text-align: right;}
+.pos-summary-numeric-compare-wide { position: absolute; left: 104px; width: 64px; text-align: right;}
+.pos-detail-num__top { position: absolute; top: 63px; line-height: 13px; }
+.pos-detail-num-col1__labels { left: 320px; text-align: left; }
+.pos-detail-num-col1__source { right: 636px; text-align: right;}
+.pos-detail-num-col1__compare { right: 581px; text-align: right; }
+.pos-detail-num-col2__labels { left: 520px; text-align: left; }
+.pos-detail-num-col2__source { right: 441px; text-align: right;}
+.pos-detail-num-col2__compare { right: 386px; text-align: right; }
+
+.pos-summary-text { position: absolute; left: 372px; top: 67px; }
+.summary-text { overflow: hidden; text-overflow: ellipsis; position: absolute; height: 14px; white-space: nowrap; }
+
+.pos-minigraph-cat { position: absolute; right: 40px; top: 62px; }
+.pos-minigraph-numeric { position: absolute; right: 40px; top: 62px; }
+
+.selector {}
+.selector__body { z-index:10; position: absolute; left: 0px; top:40px; width: 1040px; height: 134px; }
+.selector__bottom { z-index:10; position: absolute; left: 305px; top:174px; width: 735px; height: 22px; }
+.selector__top { z-index:10; position: absolute; left: 0px; top:16px; width: 305px; height: 24px; }
+
+/*
+DETAILS
+------------------------------------*/
+.pos-detail-cat-graph { position: absolute; left: 45px; top: 120px; }
+.pos-detail-cat-breakdown { position: absolute; left: 44px; overflow: hidden; }
+.pos-detail-num-graph { position: absolute; left: 50px; top: 78px; }
+.pos-detail-num-buttons { position: absolute; left: 400px; top: 46px; width: 212px; }
+
+.pos-detail-assoc-graph { position: absolute; left: 28px; top: 84px; }
+.pos-detail-assoc-desc-text { position: absolute; left: 37px; top: 41px; width: 800px; line-height: 11px;}
+
+.pos-detail-text { position: absolute; left: 45px; top: 75px; }
+
+/* DETAIL LISTS */
+.container-detail-assoc { position: absolute; left: 40px; top: 27px; width: 215px;}
+.pos-detail-num-most { position: absolute; left: 20px; top: 606px; }
+.pos-detail-num-min { position: absolute; left: 313px; top: 606px; }
+.pos-detail-num-max { position: absolute; left: 607px; top: 606px; }
+.pos-detail-num-label { position: absolute; left: 0px; width: 56px; }
+.pos-detail-num-source-pair { position: absolute; width: 84px; left: 53px;}
+.pos-detail-num-compare-pair { position: absolute; width: 84px; left: 135px;}
+.pos-detail-num-pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;}
+.pos-detail-num-pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; }
+
+/* Number, percentage pairs in CATEGORICAL breakdown */
+.pair__col { position: absolute; width: 84px; }
+.pair__header { position: absolute; width: 79px; text-align: center;}
+.pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;}
+.pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; }
+
+/* DETAIL-ASSOC */
+.pos-detail-cat-assoc-1 { position: absolute; left: 618px; top: 28px; width: 275px;}
+.pos-detail-cat-assoc-CN { position: absolute; left: 618px; top: 565px; width: 275px;}
+.pos-assoc-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 156px;}
+.pos-assoc-row__source { position: absolute; left: 150px; text-align: right; width: 30px; }
+.pos-assoc-row__compare { position: absolute; left: 120px; text-align: right; width: 30px; }
+
+/* NUM-DETAIL COLS */
+.pos-num-detail-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 62px;}
+
+hr { background-color: #58544f; height: 1px; border-width: 0px; }
+
+button
+{
+ box-shadow:inset 0px 1px 0px 0px #ffffff;
+ background:linear-gradient(to bottom, #f9f9f9 5%, #e9e9e9 100%);
+ background-color:#f9f9f9;
+ border-radius:6px;
+ border:1px solid #dcdcdc;
+ display:inline-block;
+ cursor:pointer;
+ color:#666666;
+ font-family:Arial;
+ font-size:10px;
+ padding:3px 13px;
+ text-decoration:none;
+ text-shadow:0px 1px 0px #ffffff;
+}
+.button-assoc {
+ outline: none;
+}
+.button-assoc:hover {
+ border:2px solid #221f1f;
+ outline: none;
+}
+.button-assoc:focus {
+ outline: none;
+}
+.button-assoc-selected {
+ border:2px solid #ff0000;
+}
+.button-assoc-selected:hover {
+ border:2px solid #ff0000;
+}
+.button-assoc-selected:focus {
+ border:2px solid #ff0000;
+ outline: none;
+}
+ </style>
+
+ <style>
+
+ span.minigraph-f0::before { content: url(data:image/png;base64,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);}
+ span.detail_graph-f0-0::before { content: url(data:image/png;base64,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);}
+ span.detail_graph-f0-5::before { content: 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);}
+ span.detail_graph-f0-15::before { content: 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);}
+ span.detail_graph-f0-30::before { content: 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aOHN3c7rGbhw9sXIjXOt/XmQK/FlRysX+/X8g/By+U3TgnVs8ZIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgvD3LPKlrm3cmeX2SS5J8JsnbknwwydVJ7u+H8cZVDRAAYN3O+QxR1zY/leTaJC9N8uNJnpekS3KoH8Yrkxzq2uZg1zbXdG3zhpWOFgBgDZY5Q/SdJDf1w/j9JOna5itJrkiyt2ubvUn2Jrk0yc1JmtUMEwBgfc45iPph/NzJz7u2+StJXpXklUk2kzyUpE9yW5LbT0bTVl3b7EuyL8n+cx8yAMBqLXUNUZJ0bfOXkoxJfrEfxj9NckeSO7q2uTazs0TXd21zd5K7+mG8Z8vTb03y7mVfG3jKxpGjm9s9dvPwgY11jgVgqpZ6l1nXNk9L8okkH+2HcVjYfiDJDUnuzezsz1VJTnWB9Z1JLkty+TKvDwCwSud8hqhrm40kv5nkgX4YP7Rl97uS3JLZGaInk5w41dfoh/FYkmNd25zrywMArNwyPzL72czecv+Vrm3a+bZv9sP405ldbH28a5tLkhxM8kiSD69mqAAA67HMRdWfzOz+Q6fad3z+8USSV5/f0AAALgx3qgYAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAytuz0wNg+zaOHN3c7rGbhw9srHMssJts9/eW31ewezlDBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChvz04PYOo2jhzd3O6xm4cPbKxzLJX4daeSZb7fL+TvEa/lz5ndwBkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKC8Pcs+sWubn0tyS5JLknw6yTuSfCjJ1Unu74fxxpWMEABgzZY6Q9S1zcEk/yLJ30vygvl/r01yqB/GK5Mc6trmYNc213Rt84ZVDRYAYB2WPUN0VZLP9sP4aJJ0bfPJJK9Ksrdrm71J9ia5NMnNSZoVjBMAYG2WDaJnJ3l84fFj8691X5KHkvRJbktyez+M39/65K5t9iXZl2T/fNP+rm2WHMrq7HnJr2372K5tnrnsc87lecs8Z6de62If34V8rXWP70K+1sU+vgv5Wr4HV/tay7jYfy1I8tTf7ZOysbm5ec5P6trmjUn+fj+Mb5o/flOSV/bD+Jb542uTvCLJwfnHu/phvGfh+b+U5N3nOXYA4OL1N/ph/MZOD2K7lj1D9GiSAwuPL0vynSTp2uZAkhuS/FKSt2f247U/SHLPwvF3JvlAZhX5rSSXJ3liybFczMxv2sxvunbz3BLzm7oq8zu60wM5F8sG0R8kuadrmx/OLIR+NrPASZJ3Zfbus71JnkxyYuuT+2E8luTYwo/JnuiH8fGtx02d+U2b+U3Xbp5bYn5TV2h+k7LUu8z6YfyzJIeT/G6SLyR5OMmn5rtv6ofx4SQPZvYjs0eSfPQ0X+pYkl+ef9yNzG/azG+6dvPcEvObOvO7CC11DREAwG7iTtUAQHlL36l6u7q2eV+S1/fDeMWW7a9K8v4kT8vsrfo/3w/j97q2uSLJv8/srf1Hk7ypH8b/tu5xLusM87s5yT9L8j/nm+7th/HWKc2va5tfS/IzeeoWC/+mH8ZfXdg/6TXcxvwmu4Zd21yS2Ts5X5/k4/0w3rZl/9TX7mzzm/La3Z7kHy9suizJw/0wXrtwzGTXb5vzm+z6JUnXNrckeXOSzSSfT3L94i1oprx+ybbmN8n1W+sZoq5trkrymlNsf1pm7zr7R/M7Wx9P8tb57vcn+Ug/jD+e5N/lqYu1Lzqnm9/cDyd5Zz+ML5j/d+t8+2Tml9kc3rwwh8VY2A1reNr5Leyf6hq+N7N3eL7sFLGwG9butPObm+za9cP4noVxvyCzfxrpIyf3T339zja/ucmuX9c2P5bkbUlemuTKJE9P8qaF/ZNev7PNb26S67e2IJrffPE3Mvs3zrZ6fpJH+2F8ZP74d5L8nfnnr0zy26fYflE5y/yS2TfEn55i+yTmN3e6OSS7YA1z5vmdaf9FPb/59+ZbM4u9x05xyKTXbhvzSya6dlt1bfNXk/xEZmM9adLrt+g080umvX7fy+zMydMz+7c+9yb5Xwv7p75+Z5tfMtH1W+cZol/J7N1lXz3FvlPd6frgyX0n34Y4/8PuYC5OZ5pfMvuGuL1rm4e7tvlE1zY/NN8+lfklszn8etc2X+ja5p6ubS5d2Lcb1vBM8zu5f4preCizP7Q+0LXNQ13bfKRrm8U7x0597c42v2S6a7fVO5Lc3Q/j8YVtU1+/RaeaXzLh9euH8ZtJ7kryR0n+JMnxfhg/tnDIpNdvG/NLJrp+awmirm1enln1n+502MYptm2eZt9F9za4bcwvSW5N8pp+GF+Y5A8zO1WYTGB+C96S2T2mXpzZ9Wa3LOyb9BrOnWl+yXTX8FmZ/dM478nstPaJ7K61e1bOPL9kumv3/3Rt84wk1yX58JZdU1+/JGecXzLh9eva5kczuznx8zO78eL+rm1eu3DIpNdvG/NLJrp+6zpD9PbMKvhzmd2f6Dld2zywsP+0d7pO8uj8btfp2mZx+8XkjPPr2mYjySP9MH57vuk/ZPYHdzKN+Z28aPXz/TA+1g/jiSQfy1NzSCa+hmeb38TX8NEkX++H8Sv9MP4gyScyi77F/ZNdu5xlfhNfu0X/JMknT/Fjwamv30mnnN8uWL9XZPaPn3+7H8YnM/v+vGZh/9TX74zzm/L6rSWI+mG8rh/Gv9kP44uT/HSSP+6H8eULhzyS5GDXNlfOH786ye/PP//PSV43//w1C9svGtuYX5I83LXN8+efvyqzSk4mML+5/Um+3LXNyVOai3NIJr6GOfv8kumu4deSPKNrmxfOH1+d5IsL+6e+dmebXzLdtUuSdG2zJ7P/8frQKXZPff3ONr9k2uv35SQv6dpm/zwOfjLJlxb2T339zja/ZKLrd0HvQ9S1zW91bfPX+2H8P0muT/Lxrm2+lNmFWb85P+yfJ7luvv1NSW6+kGM8Hwvz28zsLYlD1zZfTNJkNq9kIvOb/1/bLyT5va5tvpzkuUneu1vWcBvzm+wazq/HuC7Jh+dze16S9+2itTvb/Ca7dgtel+RL/TB+7eSG3bJ+c2ea36TXrx/GL2QWeg9kFgqPJ7l7t6zfNuY32fVzp2oAoLz/C9rbZ1bu17wwAAAAAElFTkSuQmCC);}
+ span.minigraph-f1::before { content: url(data:image/png;base64,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);}
+ span.detail_graph-f1-0::before { content: 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);}
+ span.detail_graph-f1-5::before { content: 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);}
+ span.detail_graph-f1-15::before { content: 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);}
+ span.detail_graph-f1-30::before { content: 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);}
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+ span.detail_graph-f2-0::before { content: 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);}
+ span.detail_graph-f2-5::before { content: 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);}
+ span.detail_graph-f2-15::before { content: 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);}
+ span.detail_graph-f2-30::before { content: 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);}
+ span.minigraph-f3::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASIAAAB4CAYAAABW3P+TAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAKQUlEQVR4nO3dbYwdVR3H8e9a28U2K9As0GhJpCXBFChQqLExJEpTAwL1WD0khxDbKokhKA3yZKUovKGKoE2jvCgBxReehlPgoLFRAZsUfQHlwZQXJTQWQoooW0npg7JJt+uLmcXxunv37vTOnOnl90manXvPzOy/Z2d/98yZuXf7RkdHERFJ6UOpCxARURCJSHIfTvnNnTV9wMeAgynrEOkxA8DffIjHzbxL0iAiC6G9iWsQ6UVzgTdTF9Gp1EE0NhKai0ZFIt0wQPbiflz9PqUOojEHfYgHUhchcrxz1qQuoRRNVotIcgoiEUmuKadmbfX98J0pz/6P3ja7r4paRKT7NCISkeQURCKSnIJIRJJTEIlIcgoiEUlOQSQiySmIRCQ5BZGIJKcgEpHkFEQikpyCSESSUxCJSHIKIhFJTkEkIskpiEQkOQWRiCSnIBKR5BREIpLccfFRsdJ9ZT5+F/QRvFINjYhEJDkFkYgk1/bUzFmzDrgamAZsB64DzgU2AbOA14GVPsQhZ801wDrgLeAKH+LhCusWkR4y4YjIWXMpcDmwCDgbmA844AHgVh/iAuB5svABuB44H3gKuMxZc5qz5p7qSheRXtHu1GwIuNmH+J4P8QiwCzgJmOdD3Jav8xiwJF8eAU4gGykdATYAD1VQs4j0mAlPzXyIL4wtO2tOBZYB9wA3FVbbDwzmy3eTnb69CuwBnvMhvjLevp01/UA/MHAMtYtIj5h0stpZMxOIwO0TrDIK4EPc6kNcCKwBrgQOOWtectbcP842a4F3gb1lihaR3tI2iJw104EtwGYfYgD2AScXVjmR7BSuaANwI9mc0WJgwFlzXss66/Nt55auXER6RrvJ6j6yOZ5nfYgbAfIrYXvyiWyAFcAzhW2uAp72Ie4BjpLNGw0D04v79iEO+xAPAAe7+H8RkeNUu8v3y8ku3e9y1tj8uTeAa4FNzpr7gNeAlYVtHvUhjuTLgWy+6GXgxa5WLSI9pd1k9RNk9w+N58IJthkpLK8nOwUTEWlLd1aLSHIKIhFJTkEkIskpiEQkOQWRiCSnIBKR5BREIpKcgkhEklMQiUhyCiIRSU5BJCLJ6c8JSVL6s0YCGhGJSAMoiEQkOQWRiCSnIBKR5BREIpKcgkhEklMQiUhyCiIRSU5BJCLJKYhEJDkFkYgkpyASkeQURCKSnIJIRJKb9GNAnDWnk/19+9U+xPn5cxcAm4BZwOvASh/ikLPmGmAd8BZwhQ/xcFWFi0jvaDsictZMAx4HDgHzCk0PALf6EBcAz5OFD8D1wPnAU8BlzprTnDX3dLtoEektbUdEPsQR4CIAZ81P8q8fAeb5ELflqz1GNjoCGAFOIBspHQE2AHd1vWoR6SllPqHxFOBA4fF+YDBfvhvYDrwK7AGe8yG+0roDZ00/0A8MlPj+ItJjykxWj/cRnaMAPsStPsSFwBrgSuCQs+YlZ839LeuvBd4F9pb4/iLSY8oE0T7g5MLjE4GhlnU2ADeSzRktBgacNecV2tfn280t8f1FpMdM+dTMh3jYWbPHWXOpD/F3wArgmbF2Z81VwNM+xD3OmqNk80bDwPTCPoaBYWfNsdYv0hX6EP+0yv4Vj2uBTc6a+4DXyC7vj3k0n+QGCGTzRS8DL5auUkR6WsdB5EPsKyy/AFw4wXojheX1ZKdhIiIT0p3VIpKcgkhEklMQiUhyCiIRSU5BJCLJKYhEJDkFkYgkpyASkeQURCKSXNm3eIg0ht4ndvzTiEhEkvvAjIjKvGo29RVTIwDpNRoRiUhyCiIRSe4Dc2rWFDqtEvl/GhGJSHIaEUlpGt1Jt2hEJCLJKYhEJDkFkYgkpyASkeQURCKSnIJIRJJTEIlIcgoiEUlOQSQiyZW+s9pZcw3wHWAa8BSwBtgIXAL80Yf4za5UKCI9r9SIyFkzCPwA+CxwTv7vy8BZPsQFwFnOmkFnzVJnzVe7VayI9KayI6LFwHM+xH0AzpongGXADGfNDGAGMAu4BTBdqLMR9N4qkWqUDaJTgAOFx/vzfT0J/AXwwHeBO3yI77Vu7KzpB/qBgfypAWfNxEVe8LMpF+is+WgT9tG6H+2jd/fREAOTr9I8faOjU3+Rd9asBD7nQ1yVP14FXOxD/Hr++HLg08Bg/vWnPsQHC9vfCXz/GGsXkYmd4UN8PXURnSo7ItoHzC48PhEYAnDWzAauB+4EbiA7jdsBPFhYfz3wY7L03gvMBQ6WrKWbmlRPk2qBZtXTpFqgWfWM1fJO4jqmpGwQ7QAedNbMIQug5WTBAvA9sqtpM4B/AyOtG/sQh4HhwunYQR/igdb16takeppUCzSrnibVAs2qp90UR5OVumrmQ3wbuA3YBrwM7AS25s03+xB3Ai+RnZrtBjZPsKth4K78axM0qZ4m1QLNqqdJtUCz6mlSLR0rNUckItJNurNaRJKr9DOrx7v72od4tNC+DLgXmE522f9aH+K/nDWfAH5BdpvAO8AqH+JfK67lFuDbwD/zp37jQ1xbRS359zsdWAms9iHOH6e9tr7psJ7a+sdZsw64muxntR24zod4pNBe53EzWS119ksf8CPgC2SDiCeBG3yIo4V1aj1uuqWyEdEEd19/sdA+nexK2lfyu7GPAN/Im+8FHvYhng38nP9OhFdSS24OsM6HeE7+b20VteT1TAMeBw4B88Zpr61vOqknV0v/OGsuBS4HFgFnA/MBV2iv87hpW0uutuOGLIA+CZwLLAAuAD5fqLfW46abqjw1e//uax/iCPAEsKTQfiawz4e4O3/8WKH9YuDRcZ6vqhbIDqh/jLNtt2vBhzjiQ7zIh7hhglXq7JtO6oH6+meI7ILHe/nIYxdwUqG9zr6ZrBao97j5rQ/xivwYngXM5H8v09d63HRTlUE03t3Xgx22nzJ2GdSH2LpdFbVAdkDd4azZ6azZ4qw5raJaOlFn33Sqlv7xIb7gQ/wzgLPmVLK3Dj1SWKW2vumgFkhw3Dhrngb+Tvbm8h2FpiYeNx2pMojGe3/VaIftrW3HemlvsloA1gIrfIgLgVfIhrJV1NKJOvumU7X2j7NmJhCB232IxRFH7X3TphZIcNz4EJcCHwcucdYsLTQ18bjpSJVBNOHd1x2078vv0MZZ07pd12vJJwF3+xDfzJ/6Fdm8QBW1dKLOvplU3f2Tz3VsATb7EENLc619066WBP1yrrNmEbw/qnkSuLCwSqOOm6moMoh2AJ9y1szJJ0OXA88U2ncDg86aBfnjLxXa/wRclS+vaNmuiloAdjprzsyXl5G9ulVRSyfq7JtO1dI/+S/3Q8CzPsSN46xSW990UAvUe9ycAWx01szIA/IzZFfGxjTxuOlIZZfvfYhvO2vG7r4eBX4PbHXW/JLsKsMbzpqvAY/kP/AXyX7oADcBDztrvkWW8itrqGU1EPIf8BCwuopa2knRN1Oop67+WU52uXyXs8bmz72R77vuvumkltqOGx/ir501S8jeyXAU2OJD/EPTjpsydGe1iCT3H7Y+kKR4nN0GAAAAAElFTkSuQmCC);}
+ span.detail_graph-f3-0::before { content: 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);}
+ span.detail_graph-f3-5::before { content: 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);}
+ span.detail_graph-f3-15::before { content: 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);}
+ span.detail_graph-f3-30::before { content: 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);}
+ span.minigraph-f4::before { content: url(data:image/png;base64,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);}
+ span.detail_graph-f4-::before { content: url(data:image/png;base64,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);}
+ span.association-graph-source::before { content: 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);}
+ span.association-graph-compare::before { content: url(data:image/png;base64,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);}
+ span.graph-legend { content: url(data:image/png;base64,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);}
+ </style>
+<script>
+ g_height = 1130;
+ g_scale = 1.0;
+</script>
+</head>
+
+<body>
+<div class="page-root">
+ <!-- TOP HEADER -->
+ <!-- ALL SUMMARY TABS -->
+ <div class="page-column-main" id="col1" style="transform: scale(1.0);transform-origin: 0 0;">
+ <!-- DF Summary -->
+
+ <!-- ASSOCIATIONS (VERTICAL ONLY) -->
+
+ <!-- ALL SUMMARIES -->
+ <div class="container-feature-summary" id="summary-df" data-detail-div="detail-df">
+ <div class="pos-dataframe-summary text-label">
+ <span class="top-header"></span>
+ <div class="pos-dataframe-summary-title-source text-dataframe-title color-source">DataFrame</div>
+ <div class="pos-dataframe-summary-title-compare-none text-dataframe-title-small color-title-disabled">NO COMPARISON TARGET</div>
+ <div class="pos-dataframe-summary-rows">
+ <div class="dataframe-summary-row row-colored">
+ <div class="pos-df-summary-source color-source">150</div>
+ <div class="pos-df-summary-center">ROWS</div>
+ <div class="pos-df-summary-compare color-compare"></div>
+ </div>
+ <div class="dataframe-summary-row">
+ <div class="pos-df-summary-source color-source">3</div>
+ <div class="pos-df-summary-center">DUPLICATES</div>
+ <div class="pos-df-summary-compare color-compare"></div>
+ </div>
+ <div class="dataframe-summary-row row-colored">
+ <div class="pos-df-summary-source color-source">15.5 kb</div>
+ <div class="pos-df-summary-center">RAM</div>
+ <div class="pos-df-summary-compare color-compare"></div>
+ </div>
+ <div class="dataframe-summary-row row">
+ <div class="pos-df-summary-source color-source">
+ 5
+ </div>
+ <div class="pos-df-summary-center">FEATURES</div>
+ <div class="pos-df-summary-compare color-compare">
+ </div>
+ </div>
+ <div class="dataframe-summary-row row-colored">
+ <div class="pos-df-summary-source color-source">1</div>
+ <div class="pos-df-summary-center">CATEGORICAL</div>
+ <div class="pos-df-summary-compare color-compare"></div>
+ </div>
+ <div class="dataframe-summary-row ">
+ <div class="pos-df-summary-source color-source">4</div>
+ <div class="pos-df-summary-center">NUMERICAL</div>
+ <div class="pos-df-summary-compare color-compare"></div>
+ </div>
+ <div class="dataframe-summary-row row-colored">
+ <div class="pos-df-summary-source color-source">0</div>
+ <div class="pos-df-summary-center">TEXT</div>
+ <div class="pos-df-summary-compare color-compare"></div>
+ </div>
+ <button class="button-assoc color-source button-border-source size-df-summary-button pos-df-summary-button-assoc-source" id="button-summary-associations-source"
+ data-detail-div="df-assoc-source">ASSOCIATIONS</button >
+ </div>
+ </div>
+</div>
+
+
+
+ <div class="pos-logo-group">
+ <div class="pos-logo im-logo"></div>
+ <div class="pos-credits text-credits">
+ <span class="text-version">2.1.4<br>
+ <a href="https://github.com/fbdesignpro/sweetviz">Get updates, docs & report issues here</a></span><br>
+ Created & maintained by <a href="https://www.fbdesignpro.com">Francois Bertrand</a> <br>
+ Graphic design by <a href="https://www.fbdesignpro.com" data-reach="Jeff is working on his contact info :)">Jean-Francois Hains</a>
+ </div>
+ </div>
+ <div class="page-all-summaries">
+ <span class="graph-legend" style="left: 391px;position: absolute;top: 5px;"></span>
+ <!-- TARGET Summary -->
+ <!-- FEATURE Summaries -->
+ <div class="pos-feature-summary" style="top: 0.0px">
+ <div class="container-feature-summary" id="summary-f0"
+ style="top: 0px">
+ <div class="selector selector__body" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
+ <div class="selector selector__bottom" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
+ <div class="selector selector__top" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
+ <span class="bg-tab-summary" style="z-index: -20000"></span>
+ <span class="bg-tab-summary-rollover" id="rollover-f0" style="z-index: -19999"></span>
+ <div class="summary-number"
+ >
+ 1
+ </div>
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab color-normal">sepal_length</span>
+
+ <div class="pos-base-stats">
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ 150
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (100%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
+ <div class="text-distinct color-source pos-base-stats__source">
+ 35
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (23%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+
+ </div>
+ </div>
+ </div>
+
+ <div class="pos-summary-numeric-group1">
+ <div class="row-numeric-summary row-separator-bottom ">
+ <div class="text-label" style="position:absolute">MAX</div>
+ <div class="pos-summary-numeric-source text-value color-source">7.90</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">95%</div>
+ <div class="pos-summary-numeric-source text-value color-source">7.25</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q3</div>
+ <div class="pos-summary-numeric-source text-value color-source">6.40</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">AVG</div>
+ <div class="pos-summary-numeric-source text-value color-source">5.84</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">MEDIAN</div>
+ <div class="pos-summary-numeric-source text-value color-source">5.80</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q1</div>
+ <div class="pos-summary-numeric-source text-value color-source">5.10</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">5%</div>
+ <div class="pos-summary-numeric-source text-value color-source">4.60</div>
+ </div>
+ <div class="row-numeric-summary row-separator-top ">
+ <div class="text-label" style="position:absolute">MIN</div>
+ <div class="pos-summary-numeric-source text-value color-source">4.30</div>
+ </div>
+ </div>
+ <div class="pos-summary-numeric-group2">
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">RANGE</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.60</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">IQR</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.30</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">STD</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.828</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">VAR</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.686</div>
+ </div>
+ <div class="row-numeric-summary">
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">KURT.</div>
+ <div class="pos-summary-numeric-source text-value color-source">-0.552</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SKEW</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.315</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SUM</div>
+ <div class="pos-summary-numeric-source text-value color-source">876</div>
+ </div>
+ </div>
+ <span class="minigraph-f0 pos-minigraph-numeric"></span>
+</div>
+ <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
+ </div>
+ <div class="pos-feature-summary" style="top: 0.0px">
+ <div class="container-feature-summary" id="summary-f1"
+ style="top: 0px">
+ <div class="selector selector__body" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
+ <div class="selector selector__bottom" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
+ <div class="selector selector__top" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
+ <span class="bg-tab-summary" style="z-index: -19998"></span>
+ <span class="bg-tab-summary-rollover" id="rollover-f1" style="z-index: -19997"></span>
+ <div class="summary-number"
+ >
+ 2
+ </div>
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab color-normal">sepal_width</span>
+
+ <div class="pos-base-stats">
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ 150
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (100%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
+ <div class="text-distinct color-source pos-base-stats__source">
+ 23
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (15%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+
+ </div>
+ </div>
+ </div>
+
+ <div class="pos-summary-numeric-group1">
+ <div class="row-numeric-summary row-separator-bottom ">
+ <div class="text-label" style="position:absolute">MAX</div>
+ <div class="pos-summary-numeric-source text-value color-source">4.40</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">95%</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.80</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q3</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.30</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">AVG</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.05</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">MEDIAN</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.00</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q1</div>
+ <div class="pos-summary-numeric-source text-value color-source">2.80</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">5%</div>
+ <div class="pos-summary-numeric-source text-value color-source">2.34</div>
+ </div>
+ <div class="row-numeric-summary row-separator-top ">
+ <div class="text-label" style="position:absolute">MIN</div>
+ <div class="pos-summary-numeric-source text-value color-source">2.00</div>
+ </div>
+ </div>
+ <div class="pos-summary-numeric-group2">
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">RANGE</div>
+ <div class="pos-summary-numeric-source text-value color-source">2.40</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">IQR</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.500</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">STD</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.434</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">VAR</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.188</div>
+ </div>
+ <div class="row-numeric-summary">
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">KURT.</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.291</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SKEW</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.334</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SUM</div>
+ <div class="pos-summary-numeric-source text-value color-source">458</div>
+ </div>
+ </div>
+ <span class="minigraph-f1 pos-minigraph-numeric"></span>
+</div>
+ <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
+ </div>
+ <div class="pos-feature-summary" style="top: 0.0px">
+ <div class="container-feature-summary" id="summary-f2"
+ style="top: 0px">
+ <div class="selector selector__body" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
+ <div class="selector selector__bottom" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
+ <div class="selector selector__top" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
+ <span class="bg-tab-summary" style="z-index: -19996"></span>
+ <span class="bg-tab-summary-rollover" id="rollover-f2" style="z-index: -19995"></span>
+ <div class="summary-number"
+ >
+ 3
+ </div>
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab color-normal">petal_length</span>
+
+ <div class="pos-base-stats">
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ 150
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (100%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
+ <div class="text-distinct color-source pos-base-stats__source">
+ 43
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (29%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+
+ </div>
+ </div>
+ </div>
+
+ <div class="pos-summary-numeric-group1">
+ <div class="row-numeric-summary row-separator-bottom ">
+ <div class="text-label" style="position:absolute">MAX</div>
+ <div class="pos-summary-numeric-source text-value color-source">6.90</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">95%</div>
+ <div class="pos-summary-numeric-source text-value color-source">6.10</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q3</div>
+ <div class="pos-summary-numeric-source text-value color-source">5.10</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">MEDIAN</div>
+ <div class="pos-summary-numeric-source text-value color-source">4.35</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">AVG</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.76</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q1</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.60</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">5%</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.30</div>
+ </div>
+ <div class="row-numeric-summary row-separator-top ">
+ <div class="text-label" style="position:absolute">MIN</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.00</div>
+ </div>
+ </div>
+ <div class="pos-summary-numeric-group2">
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">RANGE</div>
+ <div class="pos-summary-numeric-source text-value color-source">5.90</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">IQR</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.50</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">STD</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.76</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">VAR</div>
+ <div class="pos-summary-numeric-source text-value color-source">3.11</div>
+ </div>
+ <div class="row-numeric-summary">
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">KURT.</div>
+ <div class="pos-summary-numeric-source text-value color-source">-1.40</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SKEW</div>
+ <div class="pos-summary-numeric-source text-value color-source">-0.274</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SUM</div>
+ <div class="pos-summary-numeric-source text-value color-source">564</div>
+ </div>
+ </div>
+ <span class="minigraph-f2 pos-minigraph-numeric"></span>
+</div>
+ <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
+ </div>
+ <div class="pos-feature-summary" style="top: 0.0px">
+ <div class="container-feature-summary" id="summary-f3"
+ style="top: 0px">
+ <div class="selector selector__body" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
+ <div class="selector selector__bottom" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
+ <div class="selector selector__top" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
+ <span class="bg-tab-summary" style="z-index: -19994"></span>
+ <span class="bg-tab-summary-rollover" id="rollover-f3" style="z-index: -19993"></span>
+ <div class="summary-number"
+ >
+ 4
+ </div>
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab color-normal">petal_width</span>
+
+ <div class="pos-base-stats">
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ 150
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (100%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
+ <div class="text-distinct color-source pos-base-stats__source">
+ 22
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (15%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+
+ </div>
+ </div>
+ </div>
+
+ <div class="pos-summary-numeric-group1">
+ <div class="row-numeric-summary row-separator-bottom ">
+ <div class="text-label" style="position:absolute">MAX</div>
+ <div class="pos-summary-numeric-source text-value color-source">2.50</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">95%</div>
+ <div class="pos-summary-numeric-source text-value color-source">2.30</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q3</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.80</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">MEDIAN</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.30</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">AVG</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.20</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">Q1</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.30</div>
+ </div>
+ <div class="row-numeric-summary ">
+ <div class="text-label" style="position:absolute">5%</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.20</div>
+ </div>
+ <div class="row-numeric-summary row-separator-top ">
+ <div class="text-label" style="position:absolute">MIN</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.10</div>
+ </div>
+ </div>
+ <div class="pos-summary-numeric-group2">
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">RANGE</div>
+ <div class="pos-summary-numeric-source text-value color-source">2.40</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">IQR</div>
+ <div class="pos-summary-numeric-source text-value color-source">1.50</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">STD</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.763</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">VAR</div>
+ <div class="pos-summary-numeric-source text-value color-source">0.582</div>
+ </div>
+ <div class="row-numeric-summary">
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">KURT.</div>
+ <div class="pos-summary-numeric-source text-value color-source">-1.34</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SKEW</div>
+ <div class="pos-summary-numeric-source text-value color-source">-0.105</div>
+ </div>
+ <div class="row-numeric-summary">
+ <div class="text-label" style="position:absolute">SUM</div>
+ <div class="pos-summary-numeric-source text-value color-source">180</div>
+ </div>
+ </div>
+ <span class="minigraph-f3 pos-minigraph-numeric"></span>
+</div>
+ <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
+ </div>
+ <div class="pos-feature-summary" style="top: 0.0px">
+ <div class="container-feature-summary" id="summary-f4"
+ style="top: 0px">
+ <div class="selector selector__body" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
+ <div class="selector selector__bottom" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
+ <div class="selector selector__top" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
+ <span class="bg-tab-summary" style="z-index: -19992"></span>
+ <span class="bg-tab-summary-rollover" id="rollover-f4" style="z-index: -19991"></span>
+ <div class="summary-number"
+ >
+ 5
+ </div>
+ <div class="pos-tab-image ic-cat"></div>
+ <span class="text-title-tab color-normal ">species</span>
+ <div class="pos-base-stats">
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ 150
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (100%)
+ </div>
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+ <div class="base-stats-row">
+ </div>
+ <div class="base-stats-row">
+ <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
+ <div class="text-distinct color-source pos-base-stats__source">
+ 3
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc">
+ (2%)
+ </div>
+ </div>
+ </div>
+ <span class="minigraph-f4 pos-minigraph-cat"></span>
+</div>
+ <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
+ </div>
+ </div>
+ </div>
+
+ <!-- ALL DETAIL WINDOWS (WIDESCREEN ONLY) -->
+ <div class="page-column-detail" id="col2">
+ <div class="isHidden container-feature-detail" id="df-assoc-source"Yellow
+>
+<div class="container-feature-detail__offset"
+>
+ <span class="bg-tab-detail-wide"></span>
+ <span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
+ <div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;">
+ <span class="color-source">[Only including dataset "DataFrame"]</span><br>
+ ■ <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
+ (i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP).
+ <br><br>• <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
+ </div>
+ <span class="association-graph-source pos-detail-assoc-graph"></span>
+</div>
+</div>
+
+ <div class="isHidden container-feature-detail" id="df-assoc-compare"Yellow
+>
+<div class="container-feature-detail__offset"
+>
+ <span class="bg-tab-detail-wide"></span>
+ <span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
+ <div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;">
+ <span class="color-compare">[Only including dataset "None"]</span><br>
+ ■ <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
+ (i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP).
+ <br><br>• <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
+ </div>
+ <span class="association-graph-compare pos-detail-assoc-graph"></span>
+</div>
+</div>
+
+ <!-- TARGET Detail -->
+ <!-- FEATURE Details -->
+ <div class="isHidden container-feature-detail"
+ id="detail-f0" >
+<div class="container-feature-detail__offset">
+ <span class="bg-tab-detail-med"></span>
+ <div class="pos-detail-tab-icon-text__offset">
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab">sepal_length</span>
+ </div>
+ <div class="pos-base-stats-in-detail">
+ <div class="row-missing">
+ <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+</div>
+
+ <!-- BUTTONS -->
+ <div class="pos-detail-num-buttons">
+ <button class="button-bin" data-target="detail_graph-f0"
+ data-new_class="detail_graph-f0-0">Auto </button>
+ <button class="button-bin" data-target="detail_graph-f0"
+ data-new_class="detail_graph-f0-5">5 </button>
+ <button class="button-bin" data-target="detail_graph-f0"
+ data-new_class="detail_graph-f0-15">15 </button>
+ <button class="button-bin" data-target="detail_graph-f0"
+ data-new_class="detail_graph-f0-30">30 </button>
+ </div>
+
+ <!-- GRAPH -->
+ <span class="detail_graph-f0-0
+ pos-detail-num-graph" id="detail_graph-f0"></span>
+
+ <!-- ASSOCIATIONS -->
+ <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f0">
+ <span class="bg-extra-column" <!-- expand if target in vertical layout -->
+ ></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (PEARSON, -1 to 1)
+ </div>
+<!-- <div class="text-med-bold">sepal_length</div>
+ <div class="text-large-bold">CORRELATION RATIO WITH...</div>
+-->
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_length</div>
+ <div class="pos-assoc-row__source text-label color-source">0.87</div>
+ </div>
+ <div class="assoc-row row-colored" style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_width</div>
+ <div class="pos-assoc-row__source text-label color-source">0.82</div>
+ </div>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_width</div>
+ <div class="pos-assoc-row__source text-label color-red">-0.11</div>
+ </div>
+ <br>
+ <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (CORRELATION RATIO, 0 to 1)
+ </div>
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">species</div>
+ <div class="pos-assoc-row__source text-label color-source">0.79</div>
+ </div>
+ </div>
+ </div>
+ <!-- FREQUENT -->
+ <div class="pos-detail-num-most">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">MOST FREQUENT VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">10</div>
+ <div class="pos-detail-num-pair-pos__perc">6.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">9</div>
+ <div class="pos-detail-num-pair-pos__perc">6.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">9</div>
+ <div class="pos-detail-num-pair-pos__perc">6.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MINIMUM -->
+ <div class="pos-detail-num-min">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold"> SMALLEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">10</div>
+ <div class="pos-detail-num-pair-pos__perc">6.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">9</div>
+ <div class="pos-detail-num-pair-pos__perc">6.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MAXIMUM -->
+ <div class="pos-detail-num-max">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">LARGEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">9</div>
+ <div class="pos-detail-num-pair-pos__perc">6.0%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+
+</div>
+</div>
+ <div class="isHidden container-feature-detail"
+ id="detail-f1" >
+<div class="container-feature-detail__offset">
+ <span class="bg-tab-detail-med"></span>
+ <div class="pos-detail-tab-icon-text__offset">
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab">sepal_width</span>
+ </div>
+ <div class="pos-base-stats-in-detail">
+ <div class="row-missing">
+ <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+</div>
+
+ <!-- BUTTONS -->
+ <div class="pos-detail-num-buttons">
+ <button class="button-bin" data-target="detail_graph-f1"
+ data-new_class="detail_graph-f1-0">Auto </button>
+ <button class="button-bin" data-target="detail_graph-f1"
+ data-new_class="detail_graph-f1-5">5 </button>
+ <button class="button-bin" data-target="detail_graph-f1"
+ data-new_class="detail_graph-f1-15">15 </button>
+ <button class="button-bin" data-target="detail_graph-f1"
+ data-new_class="detail_graph-f1-30">30 </button>
+ </div>
+
+ <!-- GRAPH -->
+ <span class="detail_graph-f1-0
+ pos-detail-num-graph" id="detail_graph-f1"></span>
+
+ <!-- ASSOCIATIONS -->
+ <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f1">
+ <span class="bg-extra-column" <!-- expand if target in vertical layout -->
+ ></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (PEARSON, -1 to 1)
+ </div>
+<!-- <div class="text-med-bold">sepal_width</div>
+ <div class="text-large-bold">CORRELATION RATIO WITH...</div>
+-->
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_length</div>
+ <div class="pos-assoc-row__source text-label color-red">-0.42</div>
+ </div>
+ <div class="assoc-row row-colored" style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_width</div>
+ <div class="pos-assoc-row__source text-label color-red">-0.36</div>
+ </div>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_length</div>
+ <div class="pos-assoc-row__source text-label color-red">-0.11</div>
+ </div>
+ <br>
+ <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (CORRELATION RATIO, 0 to 1)
+ </div>
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">species</div>
+ <div class="pos-assoc-row__source text-label color-source">0.63</div>
+ </div>
+ </div>
+ </div>
+ <!-- FREQUENT -->
+ <div class="pos-detail-num-most">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">MOST FREQUENT VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">26</div>
+ <div class="pos-detail-num-pair-pos__perc">17.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">14</div>
+ <div class="pos-detail-num-pair-pos__perc">9.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">13</div>
+ <div class="pos-detail-num-pair-pos__perc">8.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">10</div>
+ <div class="pos-detail-num-pair-pos__perc">6.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">9</div>
+ <div class="pos-detail-num-pair-pos__perc">6.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MINIMUM -->
+ <div class="pos-detail-num-min">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold"> SMALLEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">9</div>
+ <div class="pos-detail-num-pair-pos__perc">6.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">14</div>
+ <div class="pos-detail-num-pair-pos__perc">9.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">10</div>
+ <div class="pos-detail-num-pair-pos__perc">6.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">26</div>
+ <div class="pos-detail-num-pair-pos__perc">17.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">13</div>
+ <div class="pos-detail-num-pair-pos__perc">8.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MAXIMUM -->
+ <div class="pos-detail-num-max">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">LARGEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">13</div>
+ <div class="pos-detail-num-pair-pos__perc">8.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">26</div>
+ <div class="pos-detail-num-pair-pos__perc">17.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">10</div>
+ <div class="pos-detail-num-pair-pos__perc">6.7%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+
+</div>
+</div>
+ <div class="isHidden container-feature-detail"
+ id="detail-f2" >
+<div class="container-feature-detail__offset">
+ <span class="bg-tab-detail-med"></span>
+ <div class="pos-detail-tab-icon-text__offset">
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab">petal_length</span>
+ </div>
+ <div class="pos-base-stats-in-detail">
+ <div class="row-missing">
+ <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+</div>
+
+ <!-- BUTTONS -->
+ <div class="pos-detail-num-buttons">
+ <button class="button-bin" data-target="detail_graph-f2"
+ data-new_class="detail_graph-f2-0">Auto </button>
+ <button class="button-bin" data-target="detail_graph-f2"
+ data-new_class="detail_graph-f2-5">5 </button>
+ <button class="button-bin" data-target="detail_graph-f2"
+ data-new_class="detail_graph-f2-15">15 </button>
+ <button class="button-bin" data-target="detail_graph-f2"
+ data-new_class="detail_graph-f2-30">30 </button>
+ </div>
+
+ <!-- GRAPH -->
+ <span class="detail_graph-f2-0
+ pos-detail-num-graph" id="detail_graph-f2"></span>
+
+ <!-- ASSOCIATIONS -->
+ <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f2">
+ <span class="bg-extra-column" <!-- expand if target in vertical layout -->
+ ></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (PEARSON, -1 to 1)
+ </div>
+<!-- <div class="text-med-bold">petal_length</div>
+ <div class="text-large-bold">CORRELATION RATIO WITH...</div>
+-->
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_width</div>
+ <div class="pos-assoc-row__source text-label color-source">0.96</div>
+ </div>
+ <div class="assoc-row row-colored" style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_length</div>
+ <div class="pos-assoc-row__source text-label color-source">0.87</div>
+ </div>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_width</div>
+ <div class="pos-assoc-row__source text-label color-red">-0.42</div>
+ </div>
+ <br>
+ <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (CORRELATION RATIO, 0 to 1)
+ </div>
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">species</div>
+ <div class="pos-assoc-row__source text-label color-source">0.97</div>
+ </div>
+ </div>
+ </div>
+ <!-- FREQUENT -->
+ <div class="pos-detail-num-most">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">MOST FREQUENT VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">14</div>
+ <div class="pos-detail-num-pair-pos__perc">9.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MINIMUM -->
+ <div class="pos-detail-num-min">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold"> SMALLEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">14</div>
+ <div class="pos-detail-num-pair-pos__perc">9.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MAXIMUM -->
+ <div class="pos-detail-num-max">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">LARGEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+
+</div>
+</div>
+ <div class="isHidden container-feature-detail"
+ id="detail-f3" >
+<div class="container-feature-detail__offset">
+ <span class="bg-tab-detail-med"></span>
+ <div class="pos-detail-tab-icon-text__offset">
+ <div class="pos-tab-image ic-numeric"></div>
+ <span class="text-title-tab">petal_width</span>
+ </div>
+ <div class="pos-base-stats-in-detail">
+ <div class="row-missing">
+ <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+</div>
+
+ <!-- BUTTONS -->
+ <div class="pos-detail-num-buttons">
+ <button class="button-bin" data-target="detail_graph-f3"
+ data-new_class="detail_graph-f3-0">Auto </button>
+ <button class="button-bin" data-target="detail_graph-f3"
+ data-new_class="detail_graph-f3-5">5 </button>
+ <button class="button-bin" data-target="detail_graph-f3"
+ data-new_class="detail_graph-f3-15">15 </button>
+ <button class="button-bin" data-target="detail_graph-f3"
+ data-new_class="detail_graph-f3-30">30 </button>
+ </div>
+
+ <!-- GRAPH -->
+ <span class="detail_graph-f3-0
+ pos-detail-num-graph" id="detail_graph-f3"></span>
+
+ <!-- ASSOCIATIONS -->
+ <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f3">
+ <span class="bg-extra-column" <!-- expand if target in vertical layout -->
+ ></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (PEARSON, -1 to 1)
+ </div>
+<!-- <div class="text-med-bold">petal_width</div>
+ <div class="text-large-bold">CORRELATION RATIO WITH...</div>
+-->
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_length</div>
+ <div class="pos-assoc-row__source text-label color-source">0.96</div>
+ </div>
+ <div class="assoc-row row-colored" style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_length</div>
+ <div class="pos-assoc-row__source text-label color-source">0.82</div>
+ </div>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_width</div>
+ <div class="pos-assoc-row__source text-label color-red">-0.36</div>
+ </div>
+ <br>
+ <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
+ <div class="text-small-bold color-light" style="line-height: 10px">
+ (CORRELATION RATIO, 0 to 1)
+ </div>
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">species</div>
+ <div class="pos-assoc-row__source text-label color-source">0.96</div>
+ </div>
+ </div>
+ </div>
+ <!-- FREQUENT -->
+ <div class="pos-detail-num-most">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">MOST FREQUENT VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">28</div>
+ <div class="pos-detail-num-pair-pos__perc">18.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">13</div>
+ <div class="pos-detail-num-pair-pos__perc">8.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MINIMUM -->
+ <div class="pos-detail-num-min">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold"> SMALLEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">28</div>
+ <div class="pos-detail-num-pair-pos__perc">18.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">1</div>
+ <div class="pos-detail-num-pair-pos__perc">0.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">7</div>
+ <div class="pos-detail-num-pair-pos__perc">4.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">13</div>
+ <div class="pos-detail-num-pair-pos__perc">8.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- MAXIMUM -->
+ <div class="pos-detail-num-max">
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc">
+ <div class="text-large-bold">LARGEST VALUES</div>
+ <hr>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">6</div>
+ <div class="pos-detail-num-pair-pos__perc">4.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">2</div>
+ <div class="pos-detail-num-pair-pos__perc">1.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">4</div>
+ <div class="pos-detail-num-pair-pos__perc">2.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">12</div>
+ <div class="pos-detail-num-pair-pos__perc">8.0%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">8</div>
+ <div class="pos-detail-num-pair-pos__perc">5.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">13</div>
+ <div class="pos-detail-num-pair-pos__perc">8.7%</div>
+ </div>
+ </div>
+ <div class="assoc-row row-colored">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">5</div>
+ <div class="pos-detail-num-pair-pos__perc">3.3%</div>
+ </div>
+ </div>
+ <div class="assoc-row ">
+ <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.1</div>
+ <div class="pos-detail-num-source-pair color-source text-value">
+ <div class="pos-detail-num-pair-pos__num dim">3</div>
+ <div class="pos-detail-num-pair-pos__perc">2.0%</div>
+ </div>
+ </div>
+ </div>
+ </div>
+
+</div>
+</div>
+ <div class="isHidden container-feature-detail"
+ id="detail-f4">
+<div class="container-feature-detail__offset">
+ <span class="bg-tab-detail-med"></span>
+ <div class="pos-detail-tab-icon-text__offset">
+ <div class="pos-tab-image ic-cat"></div>
+ <span class="text-title-tab">species</span>
+ </div>
+ <div class="pos-base-stats-in-detail">
+ <div class="row-missing">
+ <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
+ <div class="text-value color-source pos-base-stats__source">
+ ---
+ </div>
+ <div class="text-value color-source pos-base-stats__source-perc" >
+
+ </div>
+ </div>
+</div>
+
+ <span class="detail_graph-f4-
+ pos-detail-cat-graph" id="detail_graph-f4"
+ style="top: 75px;"></span>
+
+ <div class="pos-detail-cat-breakdown " id="detail_breakdown-f4"
+ style="top: 264.0px;"> <!-- height: 646.0px;"> WHY was this needed? Causes issue in vertical layout. -->
+ <!-- HEADER ROW -->
+ <div class="breakdown-row-header text-value" style="width:553px">
+ <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
+ <div class="breakdown-hr"><hr></div>
+ <div class="pair__header color-source" style="left: 120px"></div>
+ <!-- Targets -->
+ <div class="pair__header color-compare" style="position: absolute; left: px">
+ <!--None-->
+ </div>
+ </div>
+
+ <!-- ROW CONTENT -->
+ <div class="breakdown-row text-value " style="width:553px">
+ <!-- Name -->
+ <div class="text-label color-normal " style="position: absolute; left:10px;
+ width: 120px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Iris-setosa</div>
+
+ <!-- Freq -->
+ <div class="pair__col color-source" style="left: 120px">
+ <div class="pair-pos__num dim">50</div>
+ <div class="pair-pos__perc">33%</div>
+ </div>
+ <!-- Targets -->
+ </div>
+ <div class="breakdown-row text-value row-colored" style="width:553px">
+ <!-- Name -->
+ <div class="text-label color-normal " style="position: absolute; left:10px;
+ width: 120px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Iris-versicolor</div>
+
+ <!-- Freq -->
+ <div class="pair__col color-source" style="left: 120px">
+ <div class="pair-pos__num dim">50</div>
+ <div class="pair-pos__perc">33%</div>
+ </div>
+ <!-- Targets -->
+ </div>
+ <div class="breakdown-row text-value " style="width:553px">
+ <!-- Name -->
+ <div class="text-label color-normal " style="position: absolute; left:10px;
+ width: 120px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Iris-virginica</div>
+
+ <!-- Freq -->
+ <div class="pair__col color-source" style="left: 120px">
+ <div class="pair-pos__num dim">50</div>
+ <div class="pair-pos__perc">33%</div>
+ </div>
+ <!-- Targets -->
+ </div>
+ <div class="breakdown-row text-value" style="width:553px">
+ </div>
+ <div class="breakdown-row text-value row-colored" style="width:553px">
+ <!-- Name -->
+ <div class="text-label color-normal " style="position: absolute; left:10px;
+ width: 120px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
+
+ <!-- Freq -->
+ <div class="pair__col color-source" style="left: 120px">
+ <div class="pair-pos__num dim">150</div>
+ <div class="pair-pos__perc">100%</div>
+ </div>
+ <!-- Targets -->
+ </div>
+ <div id="detail_cat_end-4"></div>
+ </div>
+
+ <!-- ASSOCIATIONS -->
+ <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f4">
+ <!-- no background for target in vertical mode -->
+ <span class="bg-extra-column"></span>
+ <div class="container-detail-assoc " id="cat-assoc-window-f4">
+ <!-- CAT-CAT -->
+ <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
+ CATEGORICAL ASSOCIATIONS<br>
+ (UNCERTAINTY COEFFICIENT, 0 to 1)
+ </div>
+ <div class="text-large-bold" style="line-height: 104%;">species<br>
+ PROVIDES INFORMATION ON...</div>
+ <hr>
+ <br>
+ <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
+ ON species:</div>
+ <hr>
+ <br>
+ <!-- CAT-NUM -->
+ <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
+ NUMERICAL ASSOCIATIONS<br>
+ (CORRELATION RATIO, 0 to 1)
+ </div>
+ <div class="text-large-bold" style="line-height: 104%;">species<br>
+ CORRELATION RATIO WITH...</div>
+ <hr>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_length</div>
+ <div class="pos-assoc-row__source text-label color-source">0.97</div>
+ </div>
+ <div class="assoc-row row-colored" style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">petal_width</div>
+ <div class="pos-assoc-row__source text-label color-source">0.96</div>
+ </div>
+ <div class="assoc-row " style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_length</div>
+ <div class="pos-assoc-row__source text-label color-source">0.79</div>
+ </div>
+ <div class="assoc-row row-colored" style="font-weight: bold;">
+ <div class="pos-assoc-row__label text-label">sepal_width</div>
+ <div class="pos-assoc-row__source text-label color-source">0.63</div>
+ </div>
+ </div>
+ </div>
+</div>
+</div>
+ </div>
+</div>
+</body>
+</html>
\ No newline at end of file