Key Points

Data Visualization NowVisualizations Help Formulate New HypothesesWhy Communicate Through Visualizations?Why the History of Data Visualization Matters NowWhat Motivated DuBois?Data Visualization as a Scientific Concern for the Du Bois LabCommunicating Science to the Public: The 1900 Paris ExpositionMotivation: What could a scientist do?Turning Data into ArtCombining Different Art FormsPicture This: Getting Creative With DataPraised and PreservedRecap (Overall Learning Objectives)References

  • This is a place for writing key points that students have learned in this episode.

Using R with R Studio

  • Use RStudio to write and run R programs.
  • Use install.packages() to install packages (libraries).

Reading and Interpreting STEM ChartsExample: Re-Create with Modern Data and Accessible Design

  • Even simple chart types can convey interesting meaning. Color man be used to emphasize points

Recreate a Du Bois Bar Chart

  • Learn about early Du Bois data visualization
  • Use R to read tabular data
  • Use ggplot2 to create graphs
  • Use modern features to recreate Plate 47

Adapt: Biodiversity and Redlining Bar Chart

AI assisted plotting with R

  • Using AI without fundamental statistics and visualization concepts can lead to epic fails
  • Using key visualization and statistics concepts for better natural language prompts
  • AI can add comments that explain what the code does - read them
  • Delete code that might be unnecessary to simplify code and only use code you can understand