Data Visualization using Plotnine and ggplot

Offered By
Coursera Project Network
In this Guided Project, you will:

Learn the basics of Exploratory Data Analysis and Plotnine-ggplot

Visualize data through simple as well as multi line plots using plotnine and ggplot

Visualize data through Density plot and Histogram using plotnine and ggplot

Clock1.5 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs. In this project you will learn how to create beautiful visualizations using plotnine and gglot constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.

Skills you will develop

  • Python Programming
  • Pandas
  • Ggplot2
  • Data Visualization (DataViz)
  • Plotnine

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Learner Task 1 : You will be able to learn the basics of Exploratory Data Analysis, Plotnine-ggplot and install it on your colab notebook

  2. Learner Task 2 : You will be able to learn how to import necessary libraries and visualize data through simple as well as multi line plots using plotnine and ggplot

  3. Learner Task 3 : You will be able to visualize data through bar plot and Scatter plot using plotnine and ggplot

  4. Learner Task 4 : You will be able to visualize data through Density plot and Histogram using plotnine and ggplot

  5. Leaner Task 5 : You will be able to visualize data through Box plot and Violin plot using plotnine and ggplot

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.