Mastering Data Visualization with R
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()
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
- Preview05:06
- 03:12R Studio First Look
- 05:36Data Types in R
- 04:55Vector
- 05:25Factor
- 02:08List
- 05:31Matrix
- 03:17Data Frame
- 00:03Section 1 Downloads: R Code File and Notes File
- 7 questionsQuiz 1 # Data Structure
Instructor
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