How to Visualize Data with R

Description

In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

Welcome to How to Visualize Data with R. In this course, You'll learn how to use the R programming language and RStudio to visualize data. Elisabeth will take you through building a visualization using data downloaded from the US National Weather Service. You'll learn how to use R to read data from a CSV file, inspect and understand data and data frames, and use the plot() and ggplot() functions to create data visualizations. Along the way, you'll learn from the ground up how to use R and RStudio, including how to create and run an R script, basic R data types and values, how to create a scatter plot graph, how linear regression works, and how to install and use an R package. At the end of the course, you'll have completed a data visualization of the weather data and have some new skills you can apply to your own data too. The code bundle for this course is available at https://github.com/PacktPublishing/How-to-Visualize-Data-with-R

Build data visualization using R programming language and RStudio
Use R to read data from a CSV file, inspect and understand data frames
Use the plot() and ggplot() functions to create data visualizations
Learn how to use R and RStudio
Create and run an R script and learn basic R data types and values
Create a scatter plot graph and learn how linear regression works

To successfully complete this project, we recommend that you have some background in HTML and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages and you should have basic programming skills with JavaScript. No experience with RStudio is required.

This is a complete hands-on course where we will work on visualizing data with real weather data using the R programming language and RStudio.

Visualize data with R using real weather data downloaded from the US National Weather Service * Create a trend line with a linear model function * Create scatter plot graphs from temperature data

https://github.com/PacktPublishing/How-to-Visualize-Data-with-R

Elisabeth Robson is a co-founder and principal at WickedlySmart, an author and software developer, and teaches online courses for O'Reilly Media and LinkedIn Learning. She's the co-author of four best-selling titles-Head First JavaScript Programming, Head First Design Patterns, Head First HTML & CSS, and Head First HTML5 Programming-and was previously the director of special projects and co-director of the Head First series at O'Reilly Media. Prior to her work at O'Reilly Media, Elisabeth was the director of engineering at The Walt Disney Company. Elisabeth holds a master's degree in computer science from Yale University.

1. Get Started

2. Work with the Data

3. D3 Patterns and Idioms

4. Create the Visualization

5. Wrap up