R is a popular programming language for data science, and it has a wide range of libraries for data visualization. In this video, we will discuss some of the top R libraries for data visualization in 2023.
ggplot2 is one of the most popular R libraries for data visualization. It is based on the grammar of graphics, which is a set of rules for describing and building graphs. ggplot2 is very flexible and can be used to create a wide variety of visualizations.
plotly is another popular R library for data visualization. It is a JavaScript library that can be used to create interactive visualizations. plotly is especially well-suited for creating dashboards and web-based visualizations.
dygraphs is an R library for creating interactive time series visualizations. dygraphs is based on the JavaScript library dygraphs.js.
leaflet is an R library for creating interactive maps. leaflet is based on the JavaScript library leaflet.js.
esquisse is an R library for creating interactive data visualizations. esquisse is a newer library, but it is quickly gaining popularity due to its ease of use and flexibility.
These are just a few of the many R libraries that can be used for data visualization. The best library for you will depend on your specific needs and preferences.
