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Data Visualization using dplyr and ggplot2 in R
Coursera Project Network

Data Visualization using dplyr and ggplot2 in R

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Learn, practice, and apply job-ready skills with expert guidance
4.9

(17 reviews)

Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.9

(17 reviews)

Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Understand the use of tidyverse, the dplyr and the ggplot2 package

  • Manipulate the gapminder dataset using different dplyr verbs

  • Create different plots from the results of dplyr verbs using ggplot2

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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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:

  1. Import packages & dataset

  2. Scatterplots

  3. Additional Aesthetics: Color & Size Aesthetics

  4. Facetting

  5. Visualizing summarized data: Scatterplots

  6. Visualizing summarized data: Line plots

  7. Visualizing summarized data: Bar plots

  8. Visualizing summarized data: Histograms

  9. Visualizing summarized data: Boxplots

Recommended experience

Basic understanding of the use of R

9 project images

Instructor

Arimoro Olayinka Imisioluwa
Coursera Project Network
26 Courses47,385 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    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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Learner reviews

4.9

17 reviews

  • 5 stars

    94.44%

  • 4 stars

    5.55%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

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Showing 3 of 17

BS
5

Reviewed on Jan 17, 2022

KF
5

Reviewed on Nov 13, 2023

KM
4

Reviewed on Mar 29, 2022

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