I’m doing some form of data visualization learning for 180 days because I need to #JFDI. See post explaining how and why I’m doing this.
Reading and Learning Data Visualization Theoretically/Critically:
Reading Nathan Yau’s book Data Points – Visualization that Means Something
p. 58- 68 Information Graphics and Presentation
- Often very carefully placed labels, title, and text can go much farther than long winded explanations can. Basic sizes and typography can be the different p. 59
- Flowcharts for when you need to communicate process and decision making p. 63
- So you need a typeface
Three Takeways from various tasks:
- Realizing one of most fun and challenging parts of data visualization is learning a lot of different tools for data, but need to learn them
- Seeing how I need to review Bootstrap feature since it’s been nearly over year since I did any webdev related project >_<
Knight D3.js Class Review
- Going through and recommenting code and experimenting with dom elements as I’m watching Scott Murray’s lectures of maximum understanding and memorization. Feeling like my grasp on what I know off hand and understanding what I don’t understand and have to see is steadily improving, even if at a slow scary pace at times.