Data Visualization · Module 10 of 10

Honest visualisation and projects

Avoid misleading charts and build a portfolio.

📖 Key ideas

Misleading tricks: truncated axes, cherry-picked ranges, dual axes abuse, 3D pies.
Show uncertainty and data sources.
Check numbers before publishing.
Portfolio ideas: sales dashboard, cricket stats, COVID trends, college placements.
Publish on Tableau Public, GitHub or a blog.

💡 Real-life example: An honest chart is a clean mirror: it shows the data as it really is, without funhouse distortions.

Cherry-pickingShowing only data that supports a view

Dual axisTwo y-axes on one chart

Data source noteWhere the data came from

Tableau PublicFree platform to publish visuals