Suppose you are a data scientist working on a project for a Pharma company that is trying to understand Sales historical data of four years

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Case 1

Suppose you are a data scientist working on a project for a Pharma company that is trying to understand Sales historical data of four years (2017 – 2020). This will help them to screen the products and Budget planning for next year.

To perform the task, you received a dataset containing 5017 observations representing drugs with 14 variables defining its characteristics.

Problem statement 

Perform the below operations using python packages.

•Read the .xlsx file into a pandas dataframe - Done

•Find total records in columns and their datatype - Done

•Calculate statistical parameter for numerical column - Done

•Show 2020 monthly sales and profit - 

•Which are the Top 20 drugs by sales of 2020

•Which are the Bottom 20 Dispensed Pharmacies by Sales of 2020

•Create visual to show comparison between 2020 Sales and previous year Sales.

•Show Region and Market segment wise sales percentage.

•Create Histogram to show number of orders by Quantity (Bins)

•Crate a visual to show State wise Sales

Attachments:

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