2. Data Visualization Techniques
1: Plot Types and Techniques
1. Creating Scatter Plots with Boundaries in R (Mon/Wed)
2. Interactive Heatmap Visualization in Montgomery County with R Shiny (Mon/Wed)
3. HexMaps: Understanding the Y-axis (Mon/Wed)
4. Sorting Boxplots and Barplots in R (Mon/Wed)
5. Comparison between Geom_Mosaic and Vcd::Mosaic (Mon/Wed)
6. Unemployment Heatmaps with R and Python (Mon/Wed)
7. Comparison Between Population Pyramid and Violin Plot (Mon/Wed)
8. Common Uses of Heatmap (Tues/Thurs)
10. Interactive Scatterplots with Highcharter Package in R (Tues/Thurs)
2: Interactive and Dynamic Visualizations
11. Interactive Data Visualizations with Plotly in R (Mon/Wed)
12. Enhancing Visualizations with Plotly Layout Features in Python (Mon/Wed)
13. Creating Animations using gganimate (Mon/Wed)
14. Creating Sankey Diagrams with networkD3 in R (Mon/Wed)
15. Gene and Protein Interaction Networks with NetworkD3 in R (Mon/Wed)
16. Animated Demographic Trend Maps with Census Data in R (Mon/Wed)
17. Arrow Plots and Animations for Exploratory Data Analysis and Visualization (Tues/Thurs)
3: Basic and Advanced Techniques
18. Overlaying Facetted Histograms with Theoretical Normal Density Curves (Mon/Wed)
19. Plotting theoretical normal distribution across facets using gg4x (Mon/Wed)
20. Bubble and 3D Plot Techniques in R with Plotly (Mon/Wed)
21. Unlocking Inclusive Data Visualization: Color-Blind Friendly Charts in R (Mon/Wed)
22. Combining boxplots and ridgeline plots on one plot (Mon/Wed)
23. EDA & Visualization on Ranking Method (Mon/Wed)
24. Comparing Facet Functions: facet_wrap() vs facet_grid() (Mon/Wed)
25. Generative Art Techniques in R (Mon/Wed)
26. Creating the Droste Effect in R (Mon/Wed)
27. 3 Stages of Aesthetic Evaluation in GGplot2 (Mon/Wed)
28. How To Create a Color Palette from an Image (Mon/Wed)
29. MBTI Data Analysis with Circular Visualization (Mon/Wed)
30. How to draw normal curves while using ‘facet_wrap()’ in R (Tues/Thurs)
31. Effective color ramps (Tues/Thurs)
32. Creating 2D and 3D Visualizations with Rayshader (Tues/Thurs)
33. Customizing Themes in R with GGthemr (Tues/Thurs)
34. Plotting Waterfall Chart with R ggplot2 (Tues/Thurs)
35. TrelliscopeJS for Interactive Data Visualization (Tues/Thurs)
36. Correlation Matrices and Hierarchical Clustering in R (Tues/Thurs)
37. Basic Table Creation in R (Tues/Thurs)
38. Designing Bivariate Color Palettes for Choropleth Maps in R (Tues/Thurs)
39. Deep Dive of Parallel Coordinate Plots in R (Tues/Thurs)
4: Specialized Data Types Visualization
40. Using WordClouds to analyze data (Mon/Wed)
41. R Visualizations for Financial Data Analysis with Plotly (Mon/Wed)
42. NFL Visualizations with Next Gen Stats (Mon/Wed)
43. Personal Finance Case Study: Monthly Expense Analysis in R (Mon/Wed)
44. Explaining tm and wordcloud2 Packages in R (Mon/Wed)
45. Interactive Visualization of Geospatial Data with GGplot2 and Plotly (Tues/Thurs)
46. How to use Geom_map in GGplot2 (Tues/Thurs)
47. Using R to visualize expense (Tues/Thurs)
48. Accident Density Mapping in NYC with Plotly Interactive Plots (Tues/Thurs)
49. Add graphs Inside Markers on a Geographic Map with LeafLet (Tues/Thurs)
50. Maps and Projections in R (Tues/Thurs)
51. Interactive Time Series Data Visualization with Dygraphs Package (Tues/Thurs)
5: Statistical and Quantitative Analysis
53. Exploring Categorical Datasets in R (Mon/Wed)
54. Quantile-Based Data Partitioning Methods in R with Cut2() (Mon/Wed)
55. Effective Data Comparison on Different Scales (Mon/Wed)
56. Jointplot with GGside for Bivariate Analysis (Tues/Thurs)
57. Lattice Package for Univariate and Multivariate Analysis (Tues/Thurs)
6: Miscellaneous
58. Data Visualization with Emojis (Tues/Thurs)
59. Formatting of R Output File and Changing Order of Graph Layers (Tues/Thurs)