Understanding `ggplot2` and Frequency Polygons: A Step-by-Step Guide to Increasing Line Size in Frequency Polygons

Plotting Efficiently: Mastering Visualization Techniques in R for Large Datasets

This is a Shiny app written in R that allows users to interact with a simple simulation model. The app has two interactive plots: one displaying the system behavior over time, and another showing the effect of changing model parameters on system behavior.

Understanding PCA and Biplot in R: A Practical Guide to Visualizing High-Dimensional Data

Assign Color to Voronoi

Controlling Plot Scales in Shiny Applications: Best Practices for Dynamic Data Visualization

Highlighting Specific Data Points in Interactive Plots Using Shiny and ggplot2

Fine Intercepting Stress-Strain Curve with 0.2% Yield Line: A Python Approach

Customizing Transition Plots with Box Colors and Shadows in R's Gmisc Package

Adding Labels to Datapoints on Plots in R Using scatterplotMatrix() from car Package