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DBM3510: Data Visualization and Presentation

(ANC-DBM3510.AJ1)
Lessons
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Skills You’ll Get

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1

Introduction to Visualization with Python – Basic and Customized Plotting

  • Introduction
  • Handling Data with pandas DataFrame
  • Plotting with pandas and seaborn
  • Tweaking Plot Parameters
  • Appendix A: Data Structures, Strings, and Numpy
2

Static Visualization – Global Patterns and Summary Statistics

  • Introduction
  • Creating Plots that Present Global Patterns in Data
  • Creating Plots That Present Summary Statistics of Your Data
3

From Static to Interactive Visualization

  • Introduction
  • Static versus Interactive Visualization
  • Applications of Interactive Data Visualizations
  • Getting Started with Interactive Data Visualizations
4

Interactive Visualization of Data across Strata and Time

  • Introduction
  • Interactive Scatter Plots
  • Other Interactive Plots in altair
  • Introduction - Interactive Visualization of data across Time
  • Temporal Data
  • Types of Temporal Data
  • Understanding the Relation between Temporal Data and Time-Series Data
  • Examples of Domains That Use Temporal Data
  • Visualization of Temporal Data
  • Choosing the Right Aggregation Level for Temporal Data
  • Resampling in Temporal Data
  • Interactive Temporal Visualization
5

Interactive Visualization of Geographical Data and Avoiding Common Pitfalls

  • Introduction
  • Choropleth Maps
  • Plots on Geographical Maps
  • Introduction - Avoiding Common Pitfalls
  • Data Formatting and Interpretation
  • Data Visualization
  • Cheat Sheet for the Visualization Process

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