The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

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 ...

This article is more than 6 years old. Bo McCready's creative data visualization projects have helped him win over the stat nerds of Reddit's r/dataisbeautiful in just seven short months.

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and ...

Frameworks such as React, Angular and Vue, in combination with data visualization libraries like Highcharts, D3.js, AG Grid and others, transform raw insights into easy-to-interpret summaries ...

Author R.J. Andrews discussed his adventures and discoveries in the field of information graphics during the launch of his new book at the David Rumsey Map Center Friday.

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...

Correspondence Published: 01 December 2017 LiteMol suite: interactive web-based visualization of large-scale macromolecular structure data David Sehnal, Mandar Deshpande, Radka Svobodová ...

While scientifically-backed studies do exist, there are actually many things we don’t know about how and why visualization works. To help you make better decisions when visualizing your data ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and ...