title: Read.csv is not Counting NAs in my Data Set
body: <p>First post on SO ever so I'm looking forward to getting some feedback from some veterans in R on the forum. :)  </p>
  
  <p>I have a <a href="https://github.com/john-t-young/Inherent-Org-Hierarchy-Analysis/blob/master/DF_Cleanup_isNAError_Test.csv" rel="nofollow noreferrer">CSV file (2.52KB)</a> that I'm currently unable to identify NAs when I run the following NA identifying script (particularly in ORG column): </p>
  
  <pre><code> mydata = read.csv("DF_Cleanup_isNAError_Test.csv" header = TRUE, sep = ",", quote = "", dec = ".", fill = TRUE)
   nan_count &lt;-sapply(mydata, function(y) sum(length(which(is.na(y)))))
   nan_count &lt;- data.frame(nan_count)
   nan_count
  </code></pre>
  
  <p>When I isolate the records with NA values in ORG column though (only 30 total rows) in the <a href="https://github.com/john-t-young/Inherent-Org-Hierarchy-Analysis/blob/master/DF_Cleanup_isNAError_Control.csv" rel="nofollow noreferrer">control data set</a>, running the same NA identifying script returns a count of 30 for column ORG.  This is expected for the script above as well but that's not happening. </p>
  
  <pre><code>mydata = read.csv("DF_Cleanup_isNAError_Control.csv" header = TRUE, sep = ",", quote = "", dec = ".", fill = TRUE)
  nan_count &lt;-sapply(mydata, function(y) sum(length(which(is.na(y)))))
  nan_count &lt;- data.frame(nan_count)
  nan_count
  </code></pre>
  
  <p>I'm completely stumped right now on why there would be a difference with the addition of other records in the data set when nothing's changed about the individual records in question.  The test data set is still only a subset of the total population data; I have about 850K total rows but I figured this is a good start to isolating what the issue is.  </p>
  
  <p>Here's my current session info</p>
  
  <pre><code>    R version 3.4.1 (2017-06-30)
      Platform: x86_64-w64-mingw32/x64 (64-bit)
      Running under: Windows 7 x64 (build 7601) Service Pack 1
  
     Matrix products: default
  
     locale:
     [1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United 
     States.1252    LC_MONETARY=English_United States.1252
     [4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    
  
     attached base packages:
     [1] stats     graphics  grDevices utils     datasets  methods   base     
  
     other attached packages:
     [1] dplyr_0.7.2
  
     loaded via a namespace (and not attached):
      [1] compiler_3.4.1   magrittr_1.5     assertthat_0.2.0 R6_2.2.2         
      tools_3.4.1      bindrcpp_0.2     glue_1.1.1       tibble_1.3.3    
       [9] Rcpp_0.12.12     pkgconfig_2.0.1  rlang_0.1.1      bindr_0.1  
  </code></pre>