Table of Data Visualization Projects
Table of Data Visualization Projects
Here is a quick summary of each project and the skills developed.
Project name |
Skill level |
Skills developed |
Technologies |
Plotting flight costs by day of the week |
Beginner |
Excel visualization, data organization, pattern recognition |
Excel |
Create phyllotaxis art with R |
Beginner |
ggplot2, R programming, mathematical modeling |
R |
Visualizing the history of Nobel Prize winners |
Beginner |
Time series, categorical data, geographical visualization |
Python/R |
Comparing baseball player statistics |
Intermediate |
Python, sports data, visual storytelling, spatial visualizations |
Python |
Analyzing flight delays and cancellations |
Intermediate |
Time-series visualizations, correlations |
Python (Matplotlib) |
What is your heart rate telling you? |
Intermediate |
R, logistic regression, multivariable visualizations |
R |
Global life expectancy with ggplot2 |
Intermediate |
ggplot2 customizations, data storytelling |
R (ggplot2) |
PowerBI Sankey diagram for tracking subscription flow |
Advanced |
PowerBI DAX, data wrangling, Sankey charts, data modeling |
PowerBI |
Spotify Tableau dashboard |
Advanced |
Tableau mechanics, API data collection, radar charts, data Storytelling |
Tableau |
Ridership visualization with GeoPandas |
Advanced |
Geospatial analysis, GeoPandas, map visualizations, heat maps |
Python (GeoPandas) |
Conclusion
Building a data visualization portfolio is important for developing your technical and storytelling skills. Employers are looking for data professionals with the potential to generate complex analyses and effectively communicate them with stakeholders!
Keep these skills fresh by trying the projects mentioned above and brush up on your skills with various DataCamp resources: