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https://github.com/kelvintechnical/25-python-data-visualization-projects
https://github.com/kelvintechnical/25-python-data-visualization-projects
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- Host: GitHub
- URL: https://github.com/kelvintechnical/25-python-data-visualization-projects
- Owner: kelvintechnical
- Created: 2024-11-15T19:10:00.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-15T19:13:54.000Z (2 months ago)
- Last Synced: 2024-11-15T20:20:58.315Z (2 months ago)
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 📫 How to reach me:
**Email**: [[email protected]](mailto:[email protected])
**LinkedIn**: [Kelvin R. Tobias](https://www.linkedin.com/in/kelvin-r-tobias-211949219/)
**Bluesky**: [@kelvintechnical.bsky.social](https://bsky.app/profile/kelvintechnical.bsky.social)
**Instagram**: [@kelvinintech](https://www.instagram.com/kelvinintech/)---
# 📊 Python Data Visualization Projects
A collection of 25 Python data visualization projects to practice and showcase skills in creating engaging and meaningful visualizations. These projects explore a variety of techniques using libraries like `Matplotlib`, `Seaborn`, `Plotly`, and more.
---
# About Me
Hi, my name is **Kelvin R. Tobias**, and I’m passionate about **data visualization** and **Python programming**. This repository is a collection of projects I’ve worked on to improve my skills and demonstrate my ability to create meaningful visualizations.
Each project is unique, focusing on specific datasets and visualization techniques. Below is the list of projects with descriptions and skills involved.
---
# 25 Python Data Visualization Projects to Enhance Your Skills
### **1. [Sales Analysis Dashboard](#)**
**Description**: Analyze and visualize sales data with interactive dashboards.
- **Skills**: Matplotlib, Seaborn, Data Cleaning.---
### **2. [Weather Trends Visualization](#)**
**Description**: Plot temperature, rainfall, and weather trends over time.
- **Skills**: Matplotlib, Line Charts.---
### **3. [Stock Market Tracker](#)**
**Description**: Create line and candlestick charts for stock price trends.
- **Skills**: Plotly, Pandas.---
### **4. [COVID-19 Tracker](#)**
**Description**: Display global cases, recoveries, and deaths using choropleth maps.
- **Skills**: Plotly, GeoPandas.---
### **5. [Population Density Map](#)**
**Description**: Visualize global or regional population densities with heatmaps.
- **Skills**: GeoPandas, Heatmaps.---
### **6. [Flight Data Analysis](#)**
**Description**: Plot flight paths, delays, and cancellations with geographic visuals.
- **Skills**: Folium, GeoPandas.---
### **7. [Social Media Sentiment Analysis](#)**
**Description**: Visualize sentiment trends in Twitter or Instagram data.
- **Skills**: Seaborn, Text Analysis.---
### **8. [Movie Ratings Comparison](#)**
**Description**: Compare movie ratings using bar charts and box plots.
- **Skills**: Matplotlib, Box Plots.---
### **9. [E-Commerce Data Analysis](#)**
**Description**: Explore and visualize product sales and customer trends.
- **Skills**: Matplotlib, Seaborn.---
### **10. [Earthquake Data Visualization](#)**
**Description**: Plot earthquake occurrences globally on interactive maps.
- **Skills**: Folium, GeoJSON.---
### **11. [Education Trends Dashboard](#)**
**Description**: Visualize literacy rates and enrollment over decades.
- **Skills**: Seaborn, Bar Charts.---
### **12. [Financial Portfolio Analysis](#)**
**Description**: Create risk-return scatter plots and portfolio performance graphs.
- **Skills**: Matplotlib, Scatter Plots.---
### **13. [Interactive Network Graph](#)**
**Description**: Display relationships in data using network graphs.
- **Skills**: NetworkX, Plotly.---
### **14. [Urban Traffic Patterns](#)**
**Description**: Analyze traffic flow and visualize peak congestion hours.
- **Skills**: Matplotlib, Line Charts.---
### **15. [Climate Change Visualization](#)**
**Description**: Explore and visualize CO2 levels and temperature changes over time.
- **Skills**: Matplotlib, Time Series.---
### **16. [Survey Data Analysis](#)**
**Description**: Plot demographic trends and responses using pie and donut charts.
- **Skills**: Matplotlib, Pie Charts.---
### **17. [Music Trends Dashboard](#)**
**Description**: Visualize trends in music genres, popularity, or streaming data.
- **Skills**: Plotly, Interactive Dashboards.---
### **18. [Health Data Analysis](#)**
**Description**: Plot BMI trends, disease rates, or health survey data.
- **Skills**: Seaborn, Data Cleaning.---
### **19. [Retail Store Footfall Analysis](#)**
**Description**: Analyze and visualize customer traffic data by location.
- **Skills**: Heatmaps, Seaborn.---
### **20. [Sports Statistics Dashboard](#)**
**Description**: Create player and team performance visualizations.
- **Skills**: Matplotlib, Data Aggregation.---
### **21. [Air Quality Index (AQI) Tracker](#)**
**Description**: Visualize AQI trends across different cities over time.
- **Skills**: Line Charts, GeoPandas.---
### **22. [World Happiness Report Analysis](#)**
**Description**: Plot happiness scores and trends across countries.
- **Skills**: Matplotlib, Choropleth Maps.---
### **23. [Startup Funding Visualization](#)**
**Description**: Analyze trends in funding across sectors and regions.
- **Skills**: Seaborn, Scatter Plots.---
### **24. [Forest Cover Analysis](#)**
**Description**: Visualize deforestation and forest cover trends with heatmaps.
- **Skills**: GeoPandas, Heatmaps.---
### **25. [Housing Market Analysis](#)**
**Description**: Plot trends in housing prices and regional comparisons.
- **Skills**: Matplotlib, Line Charts.---
Made with ❤️ by Kelvin R. Tobias