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About the Project

As part of the larger Open Case Studies project (OCS), these case studies were developed for and funded by the Bloomberg American Health Initiative. The OCS project is made up of a team of researchers at the Johns Hopkins Bloomberg School of Public Health (JHSPH).

What You’ll Work With

Question Type

  • Changes over time?
  • Differences in groups? regions?
  • Differences in groups over time?
  • Differences in paired groups?
  • Predict outcomes for new data?
  • Does this influence my data?
  • Relationships between variables?
  • Display data for others to find, interpret and easily use

Data Type

  • PDF
  • CSV
  • Website
  • Excel
  • Text in images
  • API
  • Google sheets
  • Survey data / Code books
  • Multiple files

Wrangling Methods

  • Extracting data from a PDF
  • Geocoding data
  • Joining data
  • Filtering data
  • Reshaping data
  • Transforming data
  • Working with text data
  • Repetitive processes


What You’ll Learn

Intro Data Viz

  • Interpretable tables
  • Scatter plots, line plots, bar plots
  • Pie chart / waffle plots
  • Heat maps
  • Correlation plots
  • Visualize missing data
  • Creating maps of your own data

Data Viz

  • Data visualization styles
  • Facet plots
  • Adding labels & annotations
  • Adding error bars
  • Combining multiple plots
  • Interactive plots
  • Interactive maps
  • Interactive dashboards

Analysis Methods

  • Percentages with missing data
  • t-tests
  • Correlation and causation
  • ANOVA
  • Linear regression
  • Chi-squared test of independence
  • Mann-Kendall Trend test
  • Machine learning


Case Studies

Browse All Case Studies →