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.
Data Visualization using Plotnine and ggplot
Instructor: Naina Chaturvedi
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What you'll learn
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
Skills you'll practice
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About this Guided Project
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:
Learner Task 1 : You will be able to learn the basics of Exploratory Data Analysis, Plotnine-ggplot and install it on your colab notebook
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
Learner Task 3 : You will be able to visualize data through bar plot and Scatter plot using plotnine and ggplot
Learner Task 4 : You will be able to visualize data through Density plot and Histogram using plotnine and ggplot
Leaner Task 5 : You will be able to visualize data through Box plot and Violin plot using plotnine and ggplot
Recommended experience
Some elementary knowledge of Python and Pandas
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
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Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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