factors affecting the sales of the walmart store
for python notebook : https://drive.google.com/file/d/1QQLNjllfJrClEbmfl0cCn9nG7wW3u_sj/view?usp=sharing
Data consists of 421570 records of weekly sales from stores spanning between ’05-Feb-2010’ to ’26-Oct-2012’. This comprises of 143 Weeks of sales data.
Total 16 numbers of attributes are provided in the Data set including Target variable. Attribute definition is: Store: The store number Size: Size of the Store Dept: Department of the Store Date: Specifying the Week (Friday of every Week) Temperature: Average temperature in the region (in ℉) FuelPrice: Cost of fuel in the region MarkDown1-5: Anonymized data related to promotional markdowns that Walmart is running. Markdown data is only available after November 2011, and is not available for all stores all the time. Any missing value is marked with Null. CPI: Consumer price index Unemployment: Unemployment rate IsHoliday: Whether the week is a special holiday week
Using the above given features, we have to predict the weekly sales of the store with given parameters.
