https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
In this project, I was given a sales data. I analyzed their sales data and shared a summary
https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
data-cleaning data-manipulation exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 3 months ago
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In this project, I was given a sales data. I analyzed their sales data and shared a summary
- Host: GitHub
- URL: https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
- Owner: farhannirzhor
- Created: 2024-09-16T15:08:57.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-16T15:39:09.000Z (almost 2 years ago)
- Last Synced: 2025-10-10T06:37:06.432Z (10 months ago)
- Topics: data-cleaning, data-manipulation, exploratory-data-analysis, matplotlib, numpy, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.85 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Project Description: A company has given me their sales data on diwali. They want me to analyse their sales according to rows and columns and share a summary.
Project Objective:
1. Improve customers experience by analyzing sales data
2. Increase revenue
Project Learnings:
1. Performed Data cleaning and manipulation
2. Performed exploratory data analysis using pandas, matplotlib and seaborn libraries
3. Improved customers and sales experience by identifying potential customers and most selling product catagories according to states, genders, occupations, age groups