Business
Data & Analytics
Data Visualization
GGPLOT2 R Package Master Data Visualization Course
2.6 (50 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,378 students enrolled

GGPLOT2 R Package Master Data Visualization Course

Learn advanced data visualization techniques by using GGPLOT2 R Package
2.6 (50 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,378 students enrolled
Created by Amit Ugle
Last updated 1/2019
English
English [Auto-generated]
Preview this course
GGPLOT2 R Package Master Data Visualization Course
Current price: $13.99 Original price: $19.99 Discount: 30% off
5 hours left at this price!
Buy now
30-Day Money-Back Guarantee
This course includes
  • 4.5 hours on-demand video
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • GGPLOT2
  • GGPLOT2 R PACKAGE
Requirements
  • R studio installed
Description

Interested in creating mind-blowing data visualizations with ggplot2? Join this course now!

This course is designed for people who are enthusiastic about presenting trends & patterns in data using amazing GGPLOT2 R Package. GGPLOT2 gives you complete control over your charts & graphs.

This is an extensive course with more than 4 hours of content. With each lecture, you will gain advanced skills of GGPLOT2 package and you will be able to create mind-blowing data visualizations you've always dream of!

This course is hands-on and you can use these reproducible R codes on your datasets! Isn't it cool that you will be able to use the learning right away in your day-to-day life!

Who this course is for:
  • Data Analysts
  • Beginners as well as Advanced R enthusiasts
Course content
Expand all 49 lectures 04:31:15
+ – GGPLOT2 Package Installation and sample datasets
2 lectures 11:45

Download the sample datasets from RESOURCES or download it from my dropbox links provided below. These CSV files will be saved to your DOWNLOADS folder by default. You have to manually copy these 2 files and paste it in your WORKING DIRECTORY.

https://www.dropbox.com/s/iomn6b35ddjp0t3/cars.csv?dl=0

https://www.dropbox.com/s/xi4vvg6hv4vs953/cars_merc.csv?dl=0

Installing and Loading GGPLOT2 R Package
Preview 07:29

Download the sample datasets from my dropbox links provided below. These CSV files will be saved to your DOWNLOADS folder by default. You have to manually copy these 2 files and paste it in your WORKING DIRECTORY.

https://www.dropbox.com/s/iomn6b35ddjp0t3/cars.csv?dl=0

https://www.dropbox.com/s/xi4vvg6hv4vs953/cars_merc.csv?dl=0

Loading sample datasets for data visualization
Preview 04:16
+ – GGPLOT Functions for ONE VARIABLE
6 lectures 32:06
Creating a Base GGPLOT function ONE continuous variable
06:29
Plot an Area graph for continuous ONE variable
05:44
Plot a density chart for continuous ONE variable
05:19
Plot a dotplot and frequency polygon chart for continuous ONE variable
05:30
Plot a Histogram and Bar chart for continuous ONE variable
04:22
Create similar plots for ONE DISCRETE variable
04:42
+ – GGPLOT Functions for TWO CONTINUOUS VARIABLES
9 lectures 42:21
Plot Frequency Polygon and Ribbon Diagram for TWO CONTINUOUS variables
09:21
Create segments or facets for TWO CONTINUOUS variables
05:00
Create Rectange Diagrams for TWO CONTINUOUS variables
05:28
Understand Importance of Geom_Blank function
03:18
Understand the difference between Point and Jitter Plots
02:40
Plot the Quantiles adding Hexbin R Package
04:19
Plot the side rugs for TWO CONTINUOUS variables
04:53
Plot a smooth line graph for TWO CONTINUOUS variables
02:36
Textplot for TWO CONTINUOUS variables
04:46
+ – GGPLOT Functions involving DISCRETE VARIABLES
4 lectures 16:39
Plot a Bar graph for DISCRETE X and one CONTINUOUS Y variable
06:12
Violin Plot for DISCRETE X and one CONTINUOUS Y variable
01:40
Jitter Plot for DISCRETE X and one CONTINUOUS Y variable
05:57
Issues with Bar plots for DISCRETE X and one CONTINUOUS Y variable
02:50
+ – Statistics Functions in GGPLOT2 R Package
4 lectures 25:24
One Dimensional Distributions using statistics
07:01
Two Dimensional Distributions using statistics
06:13
Boxplots and Viiolin plots for Comparison
04:37
Quantiles and Smooth Line charts using stats functions
07:33
+ – Scale Functions in GGPLOT2
6 lectures 40:59
Creating Manual Scales to represent colors in data visualizations
15:09
Scales color gradients for continuous variables
03:39
Scales Log 10 base function for X variable
04:41
Scales fill Grey color gradient using RColorBrewer Package
06:29
Customizing data point SHAPES on graphs using Scales
07:41
Customizing data point SIZES on graphs using Scales
03:20
+ – Coordinate Systems customization
2 lectures 11:30
Cartesian coordinates customization basics
04:21
Coordinates customization advanced functions
07:09
+ – Facets concept in GGPLOT2
4 lectures 20:46
Introductions to Facets concept in GGPLOT2
06:01
Understanding Facet Grid and Wrap functions
08:36
Customizing facet grid scales
03:50
Using Labeller in facet grids
02:19
+ – Position adjustments and Labeling graphs
2 lectures 13:15
Position adjustments of data analysis elements
08:10
Using Labels for graph and coordinate axis nomenclature
05:05