├── README.md
└── kickstarter_projects.zip


/README.md:
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 1 |  Recently, I worked on a mini project where I analyzed a massive Kickstarter dataset with over 370,000+ records and 11 key features.
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 3 | Using Python, Pandas, Matplotlib, and Seaborn, I cleaned the data, extracted important insights, and created 8 different types of visualizations — including bar plots, pie charts, scatter plots, line charts, heatmaps, and more!
 4 | 
 5 | It was an amazing experience handling real-world data at scale, applying EDA (Exploratory Data Analysis), and visual storytelling through graphs.
 6 | 
 7 | This project helped me improve my data handling, plotting, and Python skills.
 8 | 
 9 | Would love to hear your feedback and suggestions! 
10 | 


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/kickstarter_projects.zip:
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https://raw.githubusercontent.com/Saurabh25k/Kickstart-Project-Visualization-and-Analysis/88475bf4cf193be5c4b8d823af0d90c56043acb0/kickstarter_projects.zip


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