Udemy

Learn Advance Data Visualization with R

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  • 147 Students
  • Updated 1/2016
3.6
(15 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 28 Minute(s)
Language
English
Taught by
Easylearning guru
Rating
3.6
(15 Ratings)

Course Overview

Learn Advance Data Visualization with R

Learn Advance Concepts of Data Visualisation. You will learn how to visualise the data using R programming tool.

In Data visualization with R course you will learn about Advanced Data visualization using different packages in R. The course does not cover exploratory approaches to discover insights about data. Instead, the course focuses on how to visually encode and present data to an audience once an insight has been found.

  • It starts with an introduction of course and various data visualization R packages that allows users to create interactive charts based on data frames.
  • Also you learn advanced graphs like Heat Map, 3D Scatterplot etc.
  • You will learn how to extract and mine live social media websites i.e. Twitter to perform Spatial Analysis.
  • Also you will learn how to design and implement web application using shiny package and share your app online.
  • This course contains lectures as videos along with the hands-on implementation of the concepts, additional assignments are also provided with every section for your self-practice, working files are provided along with the first lecture.

Course Content

  • 6 section(s)
  • 50 lecture(s)
  • Section 1 Introduction
  • Section 2 Visualization with Plotrix Package
  • Section 3 RChart Package
  • Section 4 Visualization with googleVis Package
  • Section 5 Advanced Graphics
  • Section 6 Shiny Package

What You’ll Learn

  • Integrate R with Google Charts API, allowing users to create interactive charts based on data frames., Learn Advanced Graphs like Heat Map, 3D Scatterplot etc., Learn how to plot graphs using different visualization R packages like Rchart, Plotrix etc., Extract and mine live Twitter data and perform Twitter Spatial Analysis., Designing and implementing web application using shiny approach., Learn how add or upload Widgets in Shiny App, Display reactive output using Shiny, Share your app online


Reviews

  • D
    Daniel Maravi
    1.0

    Ain't any script.

  • M
    Mason Yahr
    2.0

    The scripts and data need to be available to download so the user can follow along.

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