Visualizing Data & Communicating Results in R with RStudio
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Visualizing Data & Communicating Results in R with RStudio
This course is part of Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
Instructor: Anh Le
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Recommended experience
Recommended experience
What you'll learn
Create charts to describe and compare the composition of data sets
Illustrate the distribution of data through visualizations
Create specialized visualizations such as heat maps, correlograms, and mosaic plots
Use R Markdown to create documents, reports, and presentations
Skills you'll gain
Tools you'll learn
Details to know
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There are 5 modules in this course
Code and run your first R program in minutes without installing anything!
This course is designed for learners with limited coding experience, providing foundational knowledge of data visualizations and R Markdown. The modules in this course cover different types of visualization models such as bar charts, histograms, and heat maps as well as R Markdown. Completion of the previous course (Data Analysis in R with RStudio & Tidyverse) in this specialization or similar experience is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. Youβll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.
Learn how to create comparison and composition charts.
What's included
4 readings3 app items
4 readingsβ’Total 12 minutes
- Navigating Codio Assignmentsβ’5 minutes
- Comparison Charts Lesson Notes (Optional Download)β’1 minute
- Composition Charts Lesson Notes (Optional Download)β’1 minute
- How to Reset an Assignment in Codioβ’5 minutes
3 app itemsβ’Total 120 minutes
- Codio: Comparison Chartsβ’40 minutes
- Codio: Composition Chartsβ’40 minutes
- Codio: Creating Comparison and Composition Charts Coding Exercisesβ’40 minutes
Learn how to create distribution charts.
What's included
2 readings3 app items
2 readingsβ’Total 2 minutes
- Scatter Plots Lesson Notes (Optional Download)β’1 minute
- Box Plots & Histograms Lesson Notes (Optional Download)β’1 minute
3 app itemsβ’Total 140 minutes
- Codio: Scatter Plotsβ’40 minutes
- Codio: Box Plots & Histogramsβ’40 minutes
- Codio: Creating Distribution Charts Coding Exercisesβ’60 minutes
Learn how to create specialized visualizations.
What's included
1 reading2 app items
1 readingβ’Total 1 minute
- Specialized Visualizations Lesson Notes (Optional Download)β’1 minute
2 app itemsβ’Total 120 minutes
- Codio: Specialized Visualizationsβ’60 minutes
- Codio: Creating Specialized Visualizations Coding Exercisesβ’60 minutes
Learn how to export visualizations as commonly used document files.
What's included
3 readings4 app items
3 readingsβ’Total 3 minutes
- Presenting Data as a Document or Report Lesson Notes (Optional Download)β’1 minute
- Presenting Data as a Presentation Lesson Notes (Optional Download)β’1 minute
- Presenting Interactive Data Lesson Notes (Optional Download)β’1 minute
4 app itemsβ’Total 120 minutes
- Codio: Presenting Data as a Document or Reportβ’30 minutes
- Codio: Presenting Data as a Presentationβ’30 minutes
- Codio: Presenting Interactive Dataβ’30 minutes
- Codio: Communicating Data Using R Markdown Practice Exercisesβ’30 minutes
Given a data set, create a chart that represents that data.
What's included
1 app item
1 app itemβ’Total 60 minutes
- Codio: Visualizing Data and Communicating Results with R Labβ’60 minutes
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