Coursera Project Network
Visualizing static networks with R
Coursera Project Network

Visualizing static networks with R

Taught in English

You (Lilian) Cheng

Instructor: You (Lilian) Cheng

Included with Coursera Plus

Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Learn to preprocess raw data to create nodes and edges

  • Learn to create network data using the igraph package

  • Learn to visualize static networks with base R functions

Details to know

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Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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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. Task 1: Explain What a Network Is and Import Libraries

  2. Task 2: Read Raw Data and Calculate the Amount of Collaboration Among Marvel Heroes

  3. Task 3: Select a Weight Criterion Using a Histogram and Use the Criterion to Extract Edges From the Data Produced in Task 2

  4. Task 4: Text Processing, and Extract Nodes From the Edges Data Produced in Task 3

  5. Task 5: Create a Network Based on the Edges and Nodes Components Created in Task 4 and Calculate Its Communities

  6. Task 6: Assign Community Information to Edges and Nodes Data and Then Visualize a Network

  7. Task 7: Visualize Different Types of Static Networks

Recommended experience

Familiarity with some R data-wrangling packages such as tidyverse and knowing how to write R functions will be helpful, but is not necessary. 

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Instructor

You (Lilian) Cheng
Coursera Project Network
2 Courses472 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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