Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

Data visualization is an umbrella term for visualizing all types of data through charts, graphs, and maps. The ultimate goal is to visually represent your data in an accessible and easy-to ...

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 ...

Learn about data visualization's use cases, benefits, challenges, and top tools. ... Types of data visualization. Common types include: Bar charts: For comparing values across categories.

As explained in this Edraw article, every data visual has one of the five key objectives—distribution, composition, relationship, trend and comparison. • Distribution: The visuals show how ...

The above is an example of data visualization to see a website’s crawl hierarchy. How To Choose The Right Visualization Type. Choose the right visualization type to communicate your message ...

If you've ever wondered whether your county has more cows, chickens, or people living in it, stat wonk Bo McCready, 31, has got you covered.

Integrating Data Sources with Ubuntu. Data visualization in Ubuntu can involve various data sources, from simple CSV files to complex databases: Importing Data. Use Python or R to read data from local ...