Data Visualization using dplyr and ggplot2 in R
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset.
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- Level Intermediate
- Duration 3 hours
- Course by Coursera Project Network
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Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. You will also learn how to use the ggplot2 package to render beautiful plots from the data returned from using the dplyr verbs. Note that this is a follow-up to the project on Data Manipulation with dplyr in R. I recommend that you take the Data Manipulation with dplyr in R project before taking this project. This will give you better experience working on this project.Modules
Practical Application via Rhyme
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Readings
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Plugin
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Lab
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Assignment
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Assignment
- Check Your Understanding
- Graded Quiz: Data Visualization using dplyr and ggplot2 in R
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Labs
- Data Visualization using dplyr and ggplot2 in R
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Readings
- Project-based Course Overview
- Data Visualization using dplyr and ggplot2 in R File
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Explore the art of Data Visualization using dplyr and ggplot2 in R with this engaging 2-hour course by Coursera. Designed for intermediate learners, you'll master data manipulation with dplyr and create stunning visualizations with ggplot2. Ideal for those with prior experience in data manipulation, this free course will enhance your data science skills.
Arimoro Olayinka Imisioluwa