Retail: Data Preparation and Basic Statistical Analysis
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Learn the essential skills for data preparation and basic statistical analysis in retail. Understand how to clean and analyze retail data to uncover insights for better business decisions.
At a Glance
This lab is dedicated to downloading, preparing and making basic statistical analysis of Retail based on Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets.
This lab will teach learners to download preparation and statistical analysis including visualization of a DataSet.
What you will learn
- Download a DataSet from *.csv files
- Analysis of Data
- Create new columns and recalculate values of existing ones
- Transform the table
- Visualize data with pandas and matplotlib
- Expect
- Minimum and maximum value
- Average
- Quarters
- Pivot tables
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