yixf-self / datacamp_-_track_-_data_scientist_with_r_-_course_03_-_introduction_to_the_tidyverse

Repository of DataCamp's "Introduction to the Tidyverse" course.

DataCamp - Introduction to the Tidyverse

Course Description

This is an introduction to the programming language R, focused on a powerful set of tools known as the "tidyverse". In the course you'll learn the intertwined processes of data manipulation and visualization through the tools dplyr and ggplot2. You'll learn to manipulate data by filtering, sorting and summarizing a real dataset of historical country data in order to answer exploratory questions. You'll then learn to turn this processed data into informative line plots, bar plots, histograms, and more with the ggplot2 package. This gives a taste both of the value of exploratory data analysis and the power of tidyverse tools. This is a suitable introduction for people who have no previous experience in R and are interested in learning to perform data analysis.

Chapters

1. Data wrangling
2. Data visualization
3. Grouping and summarizing
4. Types of visualizations

Prerequisites

R - R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.
RStudio - RStudio is a set of integrated tools designed to help you be more productive with R. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace.

Built with

R Markdown - R Markdown is a lightweight markup language with plain text formatting syntax. It is designed so that it can be converted to HTML and many other formats.

Authors

• Luka Ignjatović - GitHub

Acknowledgments

• The course is taught by David Robinson.
• All the initial code from this course is the property of respective authors and DataCamp.

License

This project is licensed under the MIT License - see the LICENSE file for details.