Some cool links and materials for effective visualization and presentation as well as story-telling.
Cheatsheets on commonly used python libraries for data visualization. And, short notes on the same.
Here are some cool links that are worth looking at:
- https://datavizcatalogue.com/blog/category/data-visualization/
- https://venngage.com/blog/how-to-choose-the-best-charts-for-your-infographic/
- https://eazybi.com/blog/data_visualization_and_chart_types/
- http://labs.juiceanalytics.com/chartchooser/index.html
- https://extremepresentation.com/tools/
- https://multimedia.journalism.berkeley.edu/tutorials/visualizing-data-a-guide-to-chart-types/
- http://guides.lib.berkeley.edu/data-visualization/type
- https://guides.library.duke.edu/datavis/vis_types
- https://datavizcatalogue.com/methods/gantt_chart.html
- https://visme.co/blog/types-of-graphs/
Then there is the Gartners Magic Quadrant for Analytics and BI tools.
Data visualization can not only be used to pictorially represent data but also to capture the idea and convey the message to the audience in the best way possible.
They say a visualization should be catchy and give a feeling as one possesses photographic memory..........
Checkout these links:
Online Service for diagramming: