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[ FreeCourseWeb ] Packt - Complete Data Wrangling and Data Visualization in R

Torrent: [ FreeCourseWeb ] Packt - Complete Data Wrangling and Data Visualization in R
Description:

[ FreeCourseWeb.com ] Complete Data Wrangling and Data Visualization in R

Download More Latest Courses Visit -->> https://FreeCourseWeb.com



Video: .MP4, AVC, 2850x1688, 12 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 6h | 1.36 GB
Instructor: Minerva Singh
Learn data preprocessing, data wrangling, and data visualization for hands-on data science and data analytics applications in R

Key Features

Perform some of the most common data wrangling tasks and important data visualization concepts in R at a basic level
Make use of some of the most important R data wrangling and visualization packages such as dplyr and ggplot2
Solve wrangling and visualization techniques best suited to answering your research questions and applicable to your data

What You Will Learn

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)


Download More Latest Courses Visit -->> https://FreeCourseWeb.com

Get Latest Apps Tips and Tricks -->> https://AppWikia.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...

Downloads: 47
Category: Other/Tutorials
Size: 1.3 GB
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Added: 2019-12-31 11:03:38
Language: English
Peers: Seeders : 9 , Leechers : 6
Release name: [ FreeCourseWeb ] Packt - Complete Data Wrangling and Data Visualization in R
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