Python for Data Science - Data Visualization

Python for Data Science - Data Visualization

Three Different Data Visualization Types

• Data storytelling - for presentations to organizational decision makers
  • Make it easy for the audience to get the point
  • Your data visualization should be:
    • Clutter-free
    • Highly focused
  • Intended audience:
    • Nonanalysts
    • Nontechnical business managers
  • Product types:
    • Static images
    • Simple interactive dashboards
  • Optimal graphics:
    • Area Charts
    • Bar Charts
    • Line Charts
    • Pie Charts
    • Cloropleths
    • Point Maps
• Data showcasing - for presentations to analysts, scientist, mathematicians, and engineers
  • Showcase lots of data so your audience members can think for themselves
  • Your data visualization should be:
    • Highly contextual
    • Open ended
  • Intended audience:
    • Analysts, quants
    • Engineers, mathematicians, scientists
  • Product types:
    • Static images
    • Interactive dashboards
  • Optimal graphics:
    • Area Charts
    • Bar Charts
    • Line Charts
    • Cloropleths
    • Point Maps
    • Histograms
    • Scatter Plots
    • Scatter Plot Matrices
    • Raster Maps
• Data art - for presentations to activists or to the general public
  • Use your data visualization to make a statement
  • Your data visualization should be:
    • Attention getting
    • Creative controversial
  • Intended audience:
    • Idealists, dreamers, artists
    • Social activists
  • Product types:
    • Static images
  • Optimal graphics:
    • Line Charts
    • Graph Networks
    • Cloropleths
    • Something Weird and Artistic...

Communicating with color and context

Color should be used:

• Strategically
• Sparingly
• Consistently

You want to use color to draw attention to the parts of the visualization that matter, and away from the parts that don't

Creating Context

• How: add data on additional metrics that are relevant to the datasets you're showing, trendlines, colors, and annotations.
• Why: meant to give audience some deeper perspective and insight into what's happening
• When :useful in data showcasing