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30-Day Money-Back Guarantee

This course includes:

  • 6 hours on-demand video
  • 9 articles
  • 13 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Business Business Analytics & Intelligence Data Visualization

Mastering Data Visualization with R

Visualize data using R Base Graphics, Lattice Package and ggplot (GGPlot2) for data analysis and data science
Rating: 4.3 out of 54.3 (290 ratings)
2,671 students
Created by Sandeep Kumar ­
Last updated 3/2018
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Understand what plots are suitable for a type of data you have
  • Undestand the data before you make a plot
  • Visualize data by creating various graphs using R base package, lattice and ggplot2 packages
  • A case study to select a diamond - to explain ggplot()
Curated for the Udemy for Business collection

Requirements

  • Some basic knowledge of R is expected. However this course does include a quick overview of R knowledge required for this course.

Description

This course will help you draw meaningful knowledge from the data you have.

Three systems of data visualization in R are covered in this course:

A. Base Graphics    B. Lattice package  C. GGPlot2

     

A. Types of graphs covered in the course using the base R package:

Single Continuous Variable:  Histogram, Density Plot, Box-Whisker Plot 

Single Discrete Variable: Bar Chart 

Two Continuous Variable: Scatter Plot

Two Variable: One Continuous, One Discrete: Box-Whisker Plot, Pie Chart, Dot Chart, Strip Chart 

Two Variables: Both Discrete: Mosaic Plot, Stacked Bar Plot       

Time series: Line Charts


B. Types of graphs covered in the Lattice package:
Histogram, Density Plot, Box-Whisker Plot, Bar Chart, Scatter Plot, Dot Chart, Strip Chart


C. Graphs covered in GGPlot2 package:
In this section you will learn about 7 layers in ggplot() and how to use these. In addition there is a project of selecting a diamond from the dataset  of 54000 diamonds, based on my budget.

Commonly Used Graphs: Histogram, Density Plot, Box-Whisker Plot, Bar Chart, Scatter Plot, Dot Chart, Strip Chart


Who this course is for:

  • Data Science, Six Sigma and other professionals interested in data visualization

Course content

6 sections • 75 lectures • 6h 12m total length

  • Preview05:06
  • R Studio First Look
    03:12
  • Data Types in R
    05:36
  • Vector
    04:55
  • Factor
    05:25
  • List
    02:08
  • Matrix
    05:31
  • Data Frame
    03:17
  • Section 1 Downloads: R Code File and Notes File
    00:03
  • Quiz 1 # Data Structure
    7 questions

  • Section 2: Introduction
    01:15
  • Exploring Datasets Available in the R Base Package
    08:39
  • Datasets Available in ggplot2 Package
    05:21
  • Section 2 Downloads: R Code File and Notes File
    00:03
  • Quiz 2 - Exploring Data Before Visualization
    6 questions

  • Section 3: Introduction
    01:25
  • Plotting single continuous variable
    05:49
  • Plotting single discrete variable
    03:22
  • Preview03:16
  • Plotting one continuous and one discrete variable
    04:49
  • Plotting two discrete variables
    04:04
  • Plotting time series
    02:08
  • Section 3 Downloads: Notes File
    00:03

  • Section 4: Introduction
    00:49
  • 1 Plotting Histogram
    10:39
  • 2 Density Plot
    03:00
  • 3 Box Plot
    04:48
  • 4 Bar Plot
    05:44
  • 5 Scatter Plot
    05:37
  • 5a Scatter Plot Part 2
    09:58
  • 6 Box Plot by group
    04:41
  • 7 Pie Chart
    Preview05:33
  • 8 Dot Chart
    05:24
  • 9 Strip Chart
    02:56
  • 10 Mosaic Chart
    08:19
  • 11 Stacked Bar Chart
    04:07
  • 12 Time Series
    02:00
  • Section 4 Downloads: R Code File and Notes File
    00:03
  • Assignment 1 : Plots Using Base R Commands
    00:06

  • Section 5: Introduction
    00:58
  • Introduction to Lattice Plots
    06:53
  • Drawing a Histogram using Lattice Package - Part 1
    07:08
  • Drawing a Histogram using Lattice Package - Part 2
    12:33
  • Preview04:15
  • Density Plot Using Lattice - Part 1
    03:42
  • Density Plot Using Lattice - Part 2
    04:51
  • Box and Whisker Plot Using Lattice
    06:55
  • Bar Plot Using Lattice
    05:24
  • Scatter Plot Using Lattice
    10:43
  • Scatter Plot Matrix Using Lattice
    06:56
  • 3D Scatter Plot Using Lattice
    04:01
  • Dot and Strip Plots
    04:30
  • Section 5 Downloads: R Code File and Notes File
    00:03
  • Assignment 2: Plots Using Lattice Package
    00:06

  • Preview03:14
  • Introduction to ggplot2 Package
    02:42
  • Your First Visualization Using ggplot2 Package
    08:39
  • A Few More geoms with Single Continuous Variable
    08:15
  • Preview06:40
  • Project: Analyzing Diamonds by Carat Size - Part 1
    11:03
  • Project: Analyzing Diamonds by Carat Size - Part 2
    07:30
  • Project: Analyzing Diamonds by Cut
    10:02
  • Project: Analyzing Diamonds by Color
    03:14
  • Project: Analyzing Diamonds by Clarity - Final Selection
    04:29
  • Data and Aesthetics Layers in ggplot
    09:21
  • Aethetics Layer - Part 2
    07:21
  • geom Layer in ggplot
    08:02
  • facets Layer in ggplot
    06:53
  • stats Layer in ggplot
    05:59
  • coord Layer in ggplot - Changing Scale
    05:21
  • coord Later in ggplot - Changing Ratio
    03:33
  • coord Layer in ggplot - Polar Coordinates and Pie Chart
    09:28
  • coord Layer in ggplot - Axis Transformation
    07:34
  • Themes Layer in ggplot
    05:53
  • Quick and Easy - qplot()
    09:14
  • Section 6 Downloads: R Code File and Notes File
    00:03
  • Assignment 3: Plots Using GGPlot2 Package
    00:06

Instructor

Sandeep Kumar ­
Experienced Quality Manager • Six Sigma Coach • Consultant
Sandeep Kumar ­
  • 4.5 Instructor Rating
  • 29,025 Reviews
  • 125,609 Students
  • 24 Courses

PMI-PMP, IRCA Registered Lead Auditor, ASQ - CSSBB, CQA, CQE, CMQ/OE, IIA - CIA  

Sandeep Kumar has more than 35 years of Quality Management experience. He has worked as Quality Manager/Director on a number of projects, including Power, Oil and Gas and Infrastructure projects.

In addition, he provides consulting services to implement Lean Six Sigma to improve performance. 

His areas of specialization include Quality Assurance, ISO 9001:2015, Lean, Six Sigma, Risk Management, QMS Audits, Supplier Quality Surveillance, Supplier Pre-qualification, Construction Quality, Mechanical Inspection and Quality Training.

Professional Qualifications:

His professional qualification/certifications include: 

• ASQ-CSSBB, Certified Six Sigma Black Belt
• ASQ-CMQ/OE Certified Manager of Quality/Organizational Excellence
• PMI-PMP Certified Project Management Professional

• IRCA Registered Lead Auditor (QMS-2015)

• IIA-CIA Certified Internal Auditor
• ASQ-CSSGB, Certified Six Sigma Green Belt

• ASQ-CQA Certified Quality Auditor

• ASQ-CQE Certified Quality Engineer



   

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