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.
Visualization Worked On or Created:
D3 – new stuff for me!
- Creating donut pie charts and using it as a base template for other work from the Zero Viscosity tutorial.
- Made a series of interactive bar charts for something at work using.
- How to work with legends in D3 (in one way)
- How to position and use tooltips in D3 (in one way)
- Not fun or interest at all, but getting reacquainted with the constant minutia of data munging. D3’s reading of csvs seems especially sensitiveness to “phantom characters”, eg empty spaces and such in rows that can throw errors.
Reading and Learning Data Visualization Theoretically/Critically:
Finished “You” section from p. 25-34
- Cool idea in of bar chart built up of stacked words to show (showing changes in number of words added in English language throughout the centures. p. 26-27
- Use of pictographs in describing ingredients and steps in a recipe -> have seen something similar in industry using icons for safety manuals that are much more engaging (and more understandable) than standard lists of words or documentation. p. 30-31
- Using annotations to answer obvious questions to maintain data integrity (eg. how data normalization worked when comparing metrics of states with two different pop) p. 33