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 ...

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.

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 ...

Related Article: How Data Visualization Tools Are Making Self-Service Analytics Easier. To Start Your Visualization Selection, Ask the Munzner Questions . So where do you start to choose a good graph?

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 ...

Data visualization can be intimidating and something that many organizations struggle to accomplish. Here is how to take your data and turn it into great insights and a story that resonates with ...

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 ...