Course Outline

Day 1:

  • Introduction to Data Visualization for Government
  • Importance of Data Visualization in the Public Sector
  • Data Visualization vs. Data Mining: Key Differences
  • Understanding Human Cognition and Its Impact on Data Visualization
  • Human-Machine Interaction (HMI) Principles for Effective Visualization
  • Common Pitfalls to Avoid in Data Visualization

Day 2:

  • Types of Curves and Their Applications in Government Data
  • Drill-Down Techniques for Detailed Curve Analysis
  • Categorical Data Plotting for Clear Communication
  • Multi-Variable Plots to Enhance Data Insights
  • Data Glyphs and Icon Representation for Complex Data Sets

Day 3:

  • Plotting Key Performance Indicators (KPIs) with Government Data
  • Examples of R and X Charts in Public Sector Applications
  • Designing What-If Dashboards for Decision Support
  • Parallel Axes Mixing for Multi-Dimensional Data Analysis
  • Combining Categorical and Numeric Data for Comprehensive Insights

Day 4:

  • The Multiple Roles of Data Visualization in Government
  • Identifying and Addressing Misleading Visualizations
  • Uncovering Disguised and Hidden Trends in Public Sector Data
  • A Case Study: Analyzing Student Data with Data Visualization Techniques
  • Visual Queries and Region Selection for Enhanced Data Exploration

Requirements

A basic understanding of data visualization techniques, including the creation of X-Y graphs, histograms, and scatter plots, as well as a general comprehension of data trends and time series graphing, is required for government professionals.

 28 Hours

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