Danielle Szafir Assistant Professor, Computer Science, CU Boulder Friday, April 2 | 12:30 P.M. | Zoom Webinar. Abstract: Visualizations allow analysts to rapidly explore and make sense of their ...

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 Analysis versus Data Visualization. Data analysis is an exploratory process that often starts with specific questions. It requires curiosity, the desire to find answers and a good level of ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

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 ...

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 ...

Data visualization: Marketers can create compelling visualizations using R to present data insights to stakeholders. This includes dashboards, charts and graphs that make complex data more ...