I’m doing some form of data visualization learning for 180 days straight because I need to #JFDI. See post explaining how and why I’m doing this.
Back on track after my moving tasks for daily posting.
- Went over using how to use hierarchies to solve ambiguities
- Directly use coordinate data from address using a geo-coder
- How to use custom geo-coding files
Reading and Learning Data Visualization Theoretically/Critically:
Three Takeaways Chapter 2 Chart Smart Continued
- Avoiding using horizontal bars if most values are negative. Use vertical bars if possible. p 72
- Left is negative, right is positive in terms of where the zero value is. p. 73
- Put larger segments at 12 o’clock on pie chart on the right, then second biggest slice at 12 o’clock on left, and then follow counterclockwise – unless all slices are close in value. Don’t use more than five slices.
Module 1 Video Lecture 1 and 2
- “A Visualization is any visual display intended to reveal evidence, making the invisible visible”
- “A visualization is any kind of visual represent ion of data and information intended to enable analysis, communication, or understanding. Visualizations are useful because they can reveal truths that hide behind data and complexity”
- Infographics need narrative structure and dig deeper into data context rather than sets of numbers