Course Outline

Introduction

  • Overview of core concepts in data visualization for government
  • Techniques and tools utilized in effective data visualization for government

Getting Started

  • Installing the Python libraries (Matplotlib, Seaborn, Bokeh, and Folium) for government use
  • Use cases and practical examples relevant to public sector operations

Creating Line Plots and Graphs with Matplotlib

  • Generating basic line plots for government data analysis
  • Incorporating styles, axis labels, and other visual elements for clarity
  • Combining multiple plots to present comprehensive data insights for government decision-making
  • Creating bar charts, pie charts, and histograms to visualize various data sets for government

Building Complex Visualizations with Seaborn

  • Visualizing Pandas DataFrame for enhanced data representation in government contexts
  • Plotting bars and aggregates to illustrate key metrics for government reporting
  • Implementing KDE, Box, and Violin plots to analyze statistical distributions relevant to public sector data
  • Conducting detailed analysis of statistical distributions to inform policy and operations for government

Making Visualizations Interactive with Bokeh

  • Plotting with basic glyphs to create dynamic visualizations for government applications
  • Creating layouts for multiple visualizations to enhance data presentation for government stakeholders
  • Styling and adjusting visual attributes to meet the needs of government users
  • Adding interactivity, including interactive legends, hover actions, and widgets, to engage government audiences
  • Implementing linked selections to provide deeper insights into government data

Visualizing Geospatial Data with Folium

  • Plotting interactive maps to support geospatial analysis for government operations
  • Utilizing layers and tiles to customize map visualizations for government use
  • Adding markers and paths to highlight specific locations and routes for government applications

Troubleshooting

Summary and Next Steps

Requirements

  • An understanding of data science principles for government
  • Experience with Python programming

Audience

  • Data Analysts
  • Data Scientists
 14 Hours

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