GGPlot2 visualization for data analysis

Learn to create and customize different types of visualizations in R programming language using GGPlot2.

Prabhakaran SPrincipal Data Scientist

Included in All-Access, one membership for every course.

Lessons
27, in 5 chapters
Video
1 h 12 min
Free to watch
3 lessons
Certificate
On completion
Rating
4.6 from 71 ratings

What you'll be able to do

  • Understanding GGPlot2 layers
  • Customizing plot components
  • Themes, Annotations and Legends
  • Handle Overlapping Points
  • Represent Crowded Labels
  • Histograms, Barcharts
  • Boxplots and Violin charts
  • Time Series and Multiple Plots

Course content

5 chapters · 27 lessons · 1 h 12 min · 3 free to preview

  1. 01Overview3 lessons · 6 min
    1. Course Overview4:21
    2. How to Get Queries Resolved1:00
    3. Download Resources1:00
  2. 02GGPlot2 Basics5 lessons · 11 min
    1. Introduction to GGPlot2Preview4:33
    2. Scatterplot with geom point()Preview1:51
    3. Line of Best Fit and Smoothing LinesPreview1:04
    4. Adjust X and Y Limits1:49
    5. Confidence Interval Shading1:51
  3. 03Customizing GGPlot2 Components7 lessons · 12 min
    1. Changing Color of Points2:32
    2. Changing Size0:59
    3. Removing Legend0:52
    4. Color Palette0:47
    5. Customize Axis Text1:53
    6. Look and Feel4:24
    7. Course Review1:00
  4. 04Advanced Customizations6 lessons · 22 min
    1. Labels and Text4:50
    2. Custom Annotations2:09
    3. Legend4:47
    4. Better Represent Overlapping Points with Jitter and Counts Plot3:29
    5. Multiplot with Facets5:56
    6. Custom Layout0:35
  5. 05Plots for Analytics6 lessons · 24 min
    1. Histograms7:37
    2. Bar Charts2:17
    3. Box Plot and Violin Plots4:23
    4. Time Series Plots6:03
    5. Multiple Time Series in Same Plot2:40
    6. Course Review1:00

What you need

  • High School mathematics
  • Basics of R programming

Who this course is for

  • Data Science Aspirants
  • Data Science Professionals
  • Software/Data engineers interested in quantitative analysis
  • Professionals working with large datasets
  • Data analysts, economists, researchers

Your instructor

Prabhakaran S

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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Questions

How do I get this course?

It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.

Can I get a refund?

Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.

Can I learn on my phone?

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I am already a member. Where are my courses?

On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.

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