This is a Python project that analyzes sales data from a Diwali sales event. The project utilizes various Python libraries, including Pandas, NumPy, and Matplotlib, to perform data cleaning, exploratory data analysis, and data visualization.
The dataset contains information on customers and their purchases from an e-commerce website during a Diwali sale. It includes the following data fields:
- Customer ID
- Name
- Gender
- Age group
- Marital status
- State
- Zone
- Occupation
- Product category
- Orders
- Amount
- Status
The project aims to provide insights and valuable information from the Diwali sales dataset. The analysis includes the following steps:
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Data Cleaning: This involves handling missing values, removing duplicates, and ensuring data consistency.
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Exploratory Data Analysis (EDA): Various statistical and visual techniques are applied to explore patterns, trends, and relationships within the data. This includes descriptive statistics, data aggregation, and data segmentation.
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Data Visualization: Utilizing Matplotlib or other visualization libraries, visual representations such as bar charts, pie charts, scatter plots, and histograms are created to effectively communicate insights and findings.
The project is available on GitHub under the project name Python Diwali Sales Analysis. You can access the repository for the project's source code, dataset, and additional documentation.