Complete Guide to R: Wrangling, Visualizing, and Modeling Data.
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Poulson, B. (2024). Complete Guide to R: Wrangling, Visualizing, and Modeling Data . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Poulson, Barton. 2024. Complete Guide to R: Wrangling, Visualizing, and Modeling Data. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Poulson, Barton. Complete Guide to R: Wrangling, Visualizing, and Modeling Data linkedin.com, 2024.
MLA Citation, 9th Edition (style guide)Poulson, Barton. Complete Guide to R: Wrangling, Visualizing, and Modeling Data linkedin.com, 2024.
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Grouping Information
Grouped Work ID | 3541fc91-f9f7-6b6d-4316-6a784b68dea4-eng |
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Full title | complete guide to r wrangling visualizing and modeling data |
Author | poulson barton |
Grouping Category | movie |
Last Update | 2024-05-20 12:55:14PM |
Last Indexed | 2024-05-25 23:18:00PM |
Book Cover Information
Image Source | sideload |
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First Loaded | Mar 21, 2024 |
Last Used | May 18, 2024 |
Marc Record
First Detected | Mar 18, 2024 02:59:19 PM |
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Last File Modification Time | May 20, 2024 01:00:46 PM |
MARC Record
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520 | |a Taking your R coding skills to the next level by wrangling, visualizing, and modeling data. | ||
520 | |a Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. This course with data analytics expert Barton Poulson provides a thorough introduction to R, with detailed instruction for installing and navigating R and RStudio and hands-on examples, from exploratory graphics to neural networks. Barton shows how to get R and popular R packages up and running and start importing, cleaning, and converting data for analysis. He also shows how to create visualizations such as bar charts, histograms, and scatterplots and transform categorical, qualitative, and outlier data to best meet your research questions and the requirements of your algorithms. | ||
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