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.
Day 2 in NYC. Actually decided to take today to pick up anything else I needed including groceries and things for the kitchen so I could pretty much be set for the next week.
Visualization Worked On or Created:
Decomposition of a Visualization:
- What are the:
- Variables (Data points, where they are, and how they’re represented):
- Data Types (Quantitative, Qualitative, Categorical, Continuous, etc.):
- Encodings (Shape, Color, Position, etc.):
- What works well here?
- What does not work well and what would I improve?
- What is the data source? Do I see any problems with how it’s cited/used?
- Any other comments about what I learned?
Finished D3.js Tutorial in Treehouse
- A way we bind behavior is with .call method utilizing d3’s method chaining convention.
- In general, feel that I have an handle now for what questions to ask when I decide if and how to implement something, which feels great. I don’t have instant recall even of a lot of the common methods, but I certainly have a hang of it and a framework to understanding them.
Reading and Learning Data Visualization Theoretically/Critically: