Learn Advance Data Visualization with R

Learn Advance Concepts of Data Visualisation. You will learn how to visualise the data using R programming tool.
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  • Lectures 50
  • Length 2.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 1/2016 English

Course Description

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.

What are the requirements?

  • You should have solid foundation in R
  • If you are familiar with the graphs in R you will get the concepts quickly.
  • If you have knowledge about HTML previously, it would be an added advantage for you.

What am I going to get from this course?

  • 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

What is the target audience?

  • This Data visualization with R course is meant for all those students and professional who are interested in working in analytics industry and are extremely to increase their technical skills. This is a great course for all those who are ambitious to become Data visualization Analysts in near future.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction
Introduction
Preview
02:18
Prerequisite
Preview
01:03
What you will learn
Preview
01:10
Section 2: Visualization with Plotrix Package
Introduction to Plotrix package
Preview
00:57
Nested Bar Charts
Preview
04:39
Gantt Charts
03:21
Zoom in Plot
01:45
Fan Plot
01:52
3D Pie Chart
03:24
Adding Tables to Plot
02:19
Radial Plot
03:02
Assignments and Quiz
1 page
Section 3: RChart Package
Introduction to rchart Package
01:32
Multi Bar Chart
04:08
High Chart
03:37
Line Chart
03:07
Scatterplot Chart
02:11
X Chart
02:03
Assignments and Quiz
2 pages
Section 4: Visualization with googleVis Package
Introduction to googleVis
01:06
Combination Chart
02:52
Bubble Chart
03:01
Gauge Chart
02:32
Google Maps
03:15
Timeline Chart
02:38
Tree Map
01:56
Calendar Chart
02:19
Assignments and Quiz
1 page
Section 5: Advanced Graphics
Area Chart
02:18
Heat Map
04:52
Spatial Analysis
07:05
Venn Diagram
04:10
Word Cloud
06:01
3D Bar Chart
04:06
3D Scatterplot Chart
06:03
Assignments and Quiz
1 page
Section 6: Shiny Package
Introduction to Shiny Package
02:26
Create a shiny application in RStudio
03:09
Build a user interface
03:54
Defining HTML tags in Shiny
02:56
Adding images in Shiny
02:50
Widgets introduction
00:57
Add Text Input in shiny application
03:30
Add or upload a widget to Shiny App
07:07
SlideBarInput widget in Shiny
03:02
BoxPlot
04:18
PieChart
02:41
Shiny App DB Connectivity with MySql
04:34
Display reactive output using shiny package
10:22
Assignments and Quiz
2 pages

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