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

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, ...

I don’t want to focus so much on how to load or retrieve data, so for that reason, we’ll simply generate random data for the charts, in a new cell we can use pandas and numpy to build a 3d matrix: ...

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 ...

The package lets you create your own geofacet visualizations using ggplot2 and built-in grids such as US states and EU countries. And, it comes with design-your-own geofacet grid capabilities. CRAN.

In addition to ensuring that every R developer is using the same official style, we also hoped this package would make data visualization in R more user-friendly for those who are newer to programming ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

The ggplot2 package is powerful and almost endlessly customizable, but sometimes small tweaks can be a challenge. The ggtext package aims to simplify styling text on your visualizations. In this ...

See how easy it is to create interactive web graphs from ggplot2 visualizations with the ggiraph R package. You can even link graphs so that clicking one dataviz affects the display of another.