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Data-Science-Data-Exploratory-Project-1-

Brief regarding the project: Diwali sale data analaysis, based on gender/ Amount spent/ region / Area etc, we'll first need to clean the data and then use Python libraries such as pandas, matplotlib, and seaborn for analysis and visualization. Provided data is in a CSV file named "diwali_sale_data.csv" (PFA). Here's a step-by-step guide:

1.Data Cleaning:

Import necessary libraries. Load the data from the CSV file. Clean the data (if necessary) by handling missing values or incorrect data types.

2.Analysis:

Analyze the data based on gender and marital status. Calculate the total amount spent by each gender and marital status category. Visualization:

3.Generate graphs using matplotlib and seaborn to visualize the analysis.

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