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A dashboard for Kickstarter technology projects insights, for CS3121: Introduction to Data Science

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Kickstarter Technology Projects Dashboard

🚀 Overview

This project focused on data visualization and dashboarding, utilizing various visual encoding techniques to represent data effectively and to gain insights into Kickstarter projects.

📈 Project Dashboard

Dashboard Image

🔍 Visual Encoding Techniques

  1. Heatmap for Categories and Years: We used a heatmap to visually encode project counts by category and year. Color saturation indicated project counts, offering insights into category popularity and trends over time.

  2. Clustered Column Chart for Success Rates: To compare success rates across categories, we employed a clustered column chart, with categories on the x-axis and success rates on the y-axis.

  3. Scatter Plot for Category Popularity vs. Success Rate: We created a scatter plot to showcase the relationship between category popularity (average backers per project) and success rates.

  4. Line Graph for Project Success Over Time: Using circular colored dots and lines, we visualized the success and failure rates of projects over time.

  5. Average Funding Visualization: We plotted average goal and pledged amounts by category, offering insights into funding patterns.

🌟 Significant Insights

4) Success Rate Trends: Most Kickstarter projects struggled to meet their goals, with success rates declining over time since 2013.

5) Funding Disparities: Categories like Sound, Camera Equipment, and 3D Printing received more funding than expected, while Space Exploration had the highest disparity between average goal and pledged amounts.

💻 Technologies Used

  • Power BI
  • Tableau
  • Pandas

🤝 Collaborators

  • DE SILVA N.Y.D.
  • MUSHRAF M.I.M.
  • NILES D.A.
  • THUSYANTHAN J.
  • WARNAKULASURIYA AK

Explore the interactive dashboard for more insights!

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A dashboard for Kickstarter technology projects insights, for CS3121: Introduction to Data Science

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