{"action":"opened","issue":{"url":"https://api.github.com/repos/sjaroslawski/Walmart_Store_Sales_Forecasting_sj_vb/issues/6","repository_url":"https://api.github.com/repos/sjaroslawski/Walmart_Store_Sales_Forecasting_sj_vb","labels_url":"https://api.github.com/repos/sjaroslawski/Walmart_Store_Sales_Forecasting_sj_vb/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/sjaroslawski/Walmart_Store_Sales_Forecasting_sj_vb/issues/6/comments","events_url":"https://api.github.com/repos/sjaroslawski/Walmart_Store_Sales_Forecasting_sj_vb/issues/6/events","html_url":"https://github.com/sjaroslawski/Walmart_Store_Sales_Forecasting_sj_vb/issues/6","id":186648264,"number":6,"title":"Midterm Report Review by Gloria D'Azevedo (gad87)","user":{"login":"gloriadazevedo","id":21316188,"avatar_url":"https://avatars.githubusercontent.com/u/21316188?v=3","gravatar_id":"","url":"https://api.github.com/users/gloriadazevedo","html_url":"https://github.com/gloriadazevedo","followers_url":"https://api.github.com/users/gloriadazevedo/followers","following_url":"https://api.github.com/users/gloriadazevedo/following{/other_user}","gists_url":"https://api.github.com/users/gloriadazevedo/gists{/gist_id}","starred_url":"https://api.github.com/users/gloriadazevedo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gloriadazevedo/subscriptions","organizations_url":"https://api.github.com/users/gloriadazevedo/orgs","repos_url":"https://api.github.com/users/gloriadazevedo/repos","events_url":"https://api.github.com/users/gloriadazevedo/events{/privacy}","received_events_url":"https://api.github.com/users/gloriadazevedo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-11-01T21:10:39Z","updated_at":"2016-11-01T21:10:39Z","closed_at":null,"body":"First of all, I was a bit distracted by formatting issues such as the word \"data\" is highlighted in pink for some reason, and each sentence in the \"Description of Data Sets\" section is indented.  In addition, in the project introduction maybe you can be more specific about how your analysis/model will help Walmart.  For example, they would want to shift their employees more efficiently by estimating the sales for this product (or products) so that they can be restocked in a timely manner.  Otherwise, out of stocks can cost them $X per store per week in missed revenue or item spoilage or item returns.\r\n\r\nAs a reader, I also want to know more about the histogram that you have in the report.  Is this the weekly sales for one store or for a whole area of stores or just one department for one store? Only $5,000 weekly revenue seems very low for a Walmart store.  If you choose to move along with an Auto-regressive model, should you consider seasonality effects such as the \"major\" holidays that you talk about in the Project Background? Obviously the weeks preceding those dates should not be considered the same as say the second week of July or the third week of May.  Maybe you can address these issues in the next steps and also consider using more of the techniques and algorithms that we've discussed in the course so far."}}
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