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Data ScienceAdvanced

Publishing Visualizations in R with Shiny and flexdashboard

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool...

By Collin Paschall on Coursera

About This Course

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This course is the fourth in the Specialization "Data Visualization and Dashboarding in R." Learners will come to this course with a strong background in making visualization in R using ggplot2. To build on those skills, this course covers creating interactive visualization using Shiny, as well as combining different kinds of figures made in R into interactive dashboards.

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Frequently Asked Questions

How much does Publishing Visualizations in R with Shiny and flexdashboard cost?

Visit the Publishing Visualizations in R with Shiny and flexdashboard course page for current pricing and available discounts.

Who teaches Publishing Visualizations in R with Shiny and flexdashboard?

Publishing Visualizations in R with Shiny and flexdashboard is taught by Collin Paschall, Johns Hopkins University.

What skill level is Publishing Visualizations in R with Shiny and flexdashboard for?

This course is designed for advanced learners.

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Students0
DurationSelf-paced
LevelAdvanced
Languageen
PlatformCoursera