In this project,

Shopping Trends dataset, csv is used for the following purposes

1. Data Cleaning - identifying missing values and removing duplicates.
2. Data Analysis - finding out the patterns such as the most popular payment method, the most purchased item generally or by a specific gender, the location with the highest sales
3. Visulization - bar chart aka countplot is used.

The following Python Libraries were used to carry out this project.

1. Pandas - for analyzing data
2. Numpy - for performing calculation for data summariy
3. Seaborn - for data visualization
4. Matplotlib - for data visualization