분야
pptx11. 20. 2017 Ver.1
APAN 5200
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Data Exploration - summarizing the main characteristics of a dataset and finding errors
Data Cleaning - correcting the errors in the data (filling, replacing, deleting, modifying, etc)
Plots - looking for useful information from the data
Challenge & Next Step
Resource:
https://www.analyticsvidhya.com/blog/2016/02/bigmart-sales-solution-top-20/
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Problem Statement
Background
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined.
Objective
The aim is to build a predictive model and find out the sales of each product at a particular store.
Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
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