Visualizing Data & Communicating Results in R with RStudio

Visualizing Data & Communicating Results in R with RStudio

Visualizing Data & Communicating Results in R with RStudio This course is part of Data Science and Analysis Tools – from Jupyter to R Markdown Specialization Taught in English Instructor: Anh Le Enroll for Free Starts Apr 1 Financial aid available Included with • Learn more Course Gain insight into a topic and learn the

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Description

Visualizing Data & Communicating Results in R with RStudio

In the age of big data, the ability to effectively communicate results through data visualization is more important than ever. One tool that has become increasingly popular among data analysts and researchers is R, a powerful open-source programming language for statistical computing and graphics. When paired with RStudio, an integrated development environment for R, users have access to a wide range of tools and packages for visualizing data and communicating results.

Data visualization is an important aspect of the data analysis process as it allows researchers to explore patterns, trends, and relationships within their data. With R and RStudio, users can create a wide variety of visualizations, from basic plots such as scatterplots and bar charts to more complex graphs like heatmaps and

Visualizing Data & Communicating Results in R with RStudio

Anh Le

Instructor: Anh Le

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

9 hours (approximately)
Flexible schedule
Learn at your own pace

What you’ll learn

  • Create charts to describe and compare the composition of data sets

  • Illustrate the distribution of data through visualizations

  • Create specialized visualizations such as heat maps, correlograms, and mosaic plots

  • Use R Markdown to create documents, reports, and presentations

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