ggplot2 is not the only data visualization option in R. Base R, lattice, plotly, and highcharter are all popular alternatives that offer different features and capabilities.

ggplot2 is the most popular data visualization package in R. Based on the Grammar of Graphics, it provides a consistent and easy-to-use syntax for creating complex visualizations. Key Features.

Painless data visualization in R. how-to. Aug 18, 2017 16 mins. Business Intelligence Enterprise Applications. ... Using ggplot2. In particular, ...

This short course will start by making simple graphics in ggplot2 that are similar to plots made in R using the plot() function. It will then delve into the more complex, layer-based graphics that ...

Craft 3D plots and interactive dashboards using Plotly, which can be particularly useful for web-based projects. Interactivity. Add interactive elements to your plots, such as hover-over information, ...

Data Preprocessing: Cleaning the dataset by handling outliers and converting categorical variables. Feature Engineering: Creating new features like hp_per_wt (horsepower per weight). Visualization: ...

Regarding data visualization, I find R to be a robust choice, especially for advanced statistical and predictive analysis, using libraries like ggplot2, plotly. However, for basic data ...