Tableau and R for Analytics Projects.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2019.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
11/12/201912:00:00AM
Participants/Performers
Presenter: Curt Frye
Description
Learn how to combine the analytical strengths of R with the visualization power of Tableau to analyze and present data more effectively.
Description
On its own, Tableau is a powerful tool that helps professionals analyze, display, and generally make sense of the data at their fingertips. With the addition of R—a free, open-source language for data science—you can glean even more insights from your data. In this course, learn how to combine the analytical strengths of R with the visualization power of Tableau to analyze and present data more effectively. Instructor Curt Frye demonstrates how to install R and RServe; create a connection between Tableau and R; perform several types of analyses in R, from linear regression to cluster identification; and incorporate those analyses into Tableau visualizations.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Frye, C. (2019). Tableau and R for Analytics Projects . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Frye, Curt. 2019. Tableau and R for Analytics Projects. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Frye, Curt. Tableau and R for Analytics Projects linkedin.com, 2019.
MLA Citation, 9th Edition (style guide)Frye, Curt. Tableau and R for Analytics Projects linkedin.com, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.