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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
Testimonials (1)
Real world knowledge from someone in the industry