Zudio Sales Data Analysis

Sales data analysis for Zudio using Python.

Overview

• This project analyzes Zudio's sales data using Python, Pandas, Matplotlib and Seaborn in Google Colab.
• It includes data cleaning, exploratory data analysis(EDA), and visualizations using various charts.
• It uses Zudio's sales dataset to uncover trends, patterns, and insights in the retail clothing industry.

Workflow

1. Data Cleaning

• Converted date fields into a standard datetime format
• Removed duplicate records to ensure data accuracy
• Handled missing values

2. Exploratory Data Analysis (EDA)

• Clothing Type Distribution: Identified the most popular product categories using various charts.
• Sales Over Time: Used a line chart to track performance trends across store opening dates.
• Store-wise Performance: Compared sales distribution across different stores.

3. Visualization

• Created 4 key charts using Matplotlib and Seaborn libraries in python.
• Saved charts in high resolution for reporting.

Tools Used

• Python(Pandas, Matplotlib, Seaborn)
• Google Colab (for notebook execution)
• Kaggle.com for dataset file.