Activity 2.1:
Data Set Picked: Retail Sales Data (from Kaggle)
Original Dataset Source: https://www.kaggle.com/datasets/mohammadtalib786/retail-sales-dataset?resource=download

Activity 2.2:
(1.1) Transferred above mentioned Data Set: To a google sheet
Google Sheet Link: https://docs.google.com/spreadsheets/d/1zeDQBfcQYPBsVuPr2wAeHtEdY6bGbkOaHpeD2odWT3Q/edit?usp=sharing

(1.2) Identifed the following from above dataset with reason behind in this Google Sheet: https://docs.google.com/spreadsheets/d/1a3Djt6UAK8LEIDk48AiwQHpR0drqbn_LNFJVyfZaN3o/edit?usp=sharing

• • categorical and numerical variables 

  • Scales of measurement of the variables 

  • Discrete and continuous variables

2. Visualized the dataset using suitable plots and interpret the obtained trends in above linked google sheet only.
Reasons behind choosing the respective plots is that pie chart gives best depiction of gender breakup of products and when we need to see this for all categories of products, we can see that through column chart