Data visualization

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Data visualization is creating a visual representation of your data, for example in the form of a chart or a graph. Choosing the right format to visualize your data is critical to effectively communicating the results of your study. Good visualizations can be more memorable and persuasive than pure text. This page discusses general principles for data visualization.

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What type of data visualization should I use?

The best format for data visualization will depend on the type of data and results you wish to display, as well as the medium in which they will be displayed. For example, online interfaces allow for more dynamic visualizations than printed articles.

Fun with colors

Adapting visualizations to different contexts

Data Visualization in R

R has many options for data visualization. Here are some useful packages:

  • ggplot2: this is the go-to package for static plots. Here is a list of 50 ggplot2 visualizations with full R code.
  • plotly: creates interactive graphs, and is integrated with ggplot.
  • gganimate: allows users to create animated GIFs from ggplot plots.
  • Highcharter: this package is a wrapper for the Highcharts JavaScript library.
  • Leaflet: an R wrapper to one of the most popular open-source libraries for interactive maps.
  • R2D3: a wrapper for JavaScript's D3 library, that creates animated graphs.

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This article is part of the topic Data Analysis

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