Day 103 of 180 Days of Data Viz Learning #jfdi

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.

*Took day off for Thanksgiving

Data Viz Created:
Knight Journalism Intermediate D3 for Data Visualization 
EXERCISE: Using a data set of your choice, create either a stacked bar chart or stacked area chart. (I recommend a bar chart for categorical data, and an area chart for time series.) Include axes, plus a headline and some brief explanatory text to provide context. Post the link to your working page in the forums.
-Working on Stacked Area Chart with LA 311 Data.  In progress.
Screen Shot 2015-11-27 at 11.44.08 PM
Reading and Learning Data Visualization Theoretically/Critically:
Knight Journalism Intermediate D3 for Data Visualization 
  • Did Module 2 Discussion Question
  • The primary critique of stacked charts is that an inconsistent baseline makes meaningful comparisons across categories perceptually difficult. So when would you want to use a stacked chart, despite this potential challenge? Post an example to a stacked chart and explain why you find it either appropriate and successful or problematic.
  • Answer:
    • Stacked charts are good for comparing individual elements across categories in groups.  An example is sales data for different products across regions for an at-a-glance look.  However, it’s my personal belief they stacked charts should be used carefully and sparingly.How Katrina Washed Away New Orleans Black Middle Class has a good use of a stacked area chart showing demographics.  I find the use successful since the time series has a clear point of inflection and that there are only four different measures (in this case ethnic groups) to compare that are clearly delineated so trends are clear.

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