Learn Advance Data Visualization with R

Learn Advance Data Visualization with R, available at $19.99, has an average rating of 3.85, with 50 lectures, based on 15 reviews, and has 147 subscribers.

You will learn about 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 This course is ideal for individuals who are 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. It is particularly useful for 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.

Enroll now: Learn Advance Data Visualization with R

Summary

Title: Learn Advance Data Visualization with R

Price: $19.99

Average Rating: 3.85

Number of Lectures: 50

Number of Published Lectures: 50

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: ?1,199

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

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 Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Prerequisite

Lecture 3: What you will learn

Chapter 2: Visualization with Plotrix Package

Lecture 1: Introduction to Plotrix package

Lecture 2: Nested Bar Charts

Lecture 3: Gantt Charts

Lecture 4: Zoom in Plot

Lecture 5: Fan Plot

Lecture 6: 3D Pie Chart

Lecture 7: Adding Tables to Plot

Lecture 8: Radial Plot

Lecture 9: Assignments and Quiz

Chapter 3: RChart Package

Lecture 1: Introduction to rchart Package

Lecture 2: Multi Bar Chart

Lecture 3: High Chart

Lecture 4: Line Chart

Lecture 5: Scatterplot Chart

Lecture 6: X Chart

Lecture 7: Assignments and Quiz

Chapter 4: Visualization with googleVis Package

Lecture 1: Introduction to googleVis

Lecture 2: Combination Chart

Lecture 3: Bubble Chart

Lecture 4: Gauge Chart

Lecture 5: Google Maps

Lecture 6: Timeline Chart

Lecture 7: Tree Map

Lecture 8: Calendar Chart

Lecture 9: Assignments and Quiz

Chapter 5: Advanced Graphics

Lecture 1: Area Chart

Lecture 2: Heat Map

Lecture 3: Spatial Analysis

Lecture 4: Venn Diagram

Lecture 5: Word Cloud

Lecture 6: 3D Bar Chart

Lecture 7: 3D Scatterplot Chart

Lecture 8: Assignments and Quiz

Chapter 6: Shiny Package

Lecture 1: Introduction to Shiny Package

Lecture 2: Create a shiny application in RStudio

Lecture 3: Build a user interface

Lecture 4: Defining HTML tags in Shiny

Lecture 5: Adding images in Shiny

Lecture 6: Widgets introduction

Lecture 7: Add Text Input in shiny application

Lecture 8: Add or upload a widget to Shiny App

Lecture 9: SlideBarInput widget in Shiny

Lecture 10: BoxPlot

Lecture 11: PieChart

Lecture 12: Shiny App DB Connectivity with MySql

Lecture 13: Display reactive output using shiny package

Lecture 14: Assignments and Quiz

Instructors

Easylearning guru
Your Pace!! Your Place!!

Rating Distribution

1 stars: 2 votes

2 stars: 2 votes

3 stars: 2 votes

4 stars: 5 votes

5 stars: 4 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!