A collection of data analysis and visualization projects showcasing EDA, data cleaning, and insights using Python. This repository contains projects focused on Exploratory Data Analysis (EDA), data cleaning, and visual storytelling using Python. The goal is to transform raw datasets into meaningful insights through preprocessing, statistical analysis, and clear visualizations.
Key Skills Demonstrated :
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Data wrangling with Pandas & NumPy
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Exploratory data analysis (EDA) techniques
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Statistical summaries & hypothesis testing
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Data visualization with Matplotlib, Seaborn, and Plotly
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Handling missing values, outliers, and data transformations
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Creating visual dashboards for insights
Tech Stack :
Languages: Python
Libraries: Pandas, NumPy, Matplotlib, Seaborn
Tools: Jupyter Notebook, Google Colab, Visual Studio Code
| No. | Datasets | Tool |
|---|---|---|
| 01 | Movie Analysis | Python |