Interactive Course

# Effective Data Storytelling using the tidyverse (FREE)

• 0 hours
• 0 Videos
• 49 Exercises
• 70 Participants
• 4,500 XP

### Course Description

This course is designed to supplement and build on the content covered at http://moderndive.com and the slides at http://bit.ly/soc301-slides. It assumes that you have completed the Introduction to R course on DataCamp.

1. 1

#### Applying R Basics

Exploring the basics of R on a data set based on the fivethirtyeight.com "Most Police Don’t Live In The Cities They Serve" article.

2. 3

#### Scatter-plots & Line-graphs

Create and analyze different plots relating two numerical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

3. 5

#### Barplots

Generate and examine barplots displaying one categorical variable or relationships between multiple categorical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

4. 7

#### Filtering, Grouping, & Summarizing

Choose a subset of rows and summarize a data frame in total and across different levels of other variables using the dplyr package

5. 2

#### Tidy Data

Look into tidy data properties on data sets used in articles from fivethirtyeight.com in the fivethirtyeight R package

6. 4

#### Histograms & Boxplots

Make and interpret different plots relating one categorical variable to one numerical variable via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

7. 6

#### ggplot2 Review

Identifying and creating the appropriate plot based on different types of variables using the ggplot2 package

8. 8

#### dplyr Review

Create a new column in a data frame, modify an existing column, and sort by one or more columns using the dplyr package. Review the main ideas of the Five Main Verbs of dplyr - filter, summarize, group_by, mutate, and arrange.

1. 1

#### Applying R Basics

Exploring the basics of R on a data set based on the fivethirtyeight.com "Most Police Don’t Live In The Cities They Serve" article.

2. 2

#### Tidy Data

Look into tidy data properties on data sets used in articles from fivethirtyeight.com in the fivethirtyeight R package

3. 3

#### Scatter-plots & Line-graphs

Create and analyze different plots relating two numerical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

4. 4

#### Histograms & Boxplots

Make and interpret different plots relating one categorical variable to one numerical variable via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

5. 5

#### Barplots

Generate and examine barplots displaying one categorical variable or relationships between multiple categorical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

6. 6

#### ggplot2 Review

Identifying and creating the appropriate plot based on different types of variables using the ggplot2 package

7. 7

#### Filtering, Grouping, & Summarizing

Choose a subset of rows and summarize a data frame in total and across different levels of other variables using the dplyr package

8. 8

#### dplyr Review

Create a new column in a data frame, modify an existing column, and sort by one or more columns using the dplyr package. Review the main ideas of the Five Main Verbs of dplyr - filter, summarize, group_by, mutate, and arrange.

### What do other learners have to say?

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

##### Chester Ismay

Data Science Evangelist at DataRobot

Chester leads data science, machine learning, and data engineering in-person workshops for DataRobot University with DataRobot. He built (and helped instructors build) R, Python, SQL, and Spreadsheets courses for DataCamp first as a Curriculum Lead and then as Head of Content Development. He obtained a PhD in Statistics from Arizona State University and has taught courses and led workshops in mathematics, computer science, statistics, data science, and sociology. He is co-author of the fivethirtyeight R package and author of the thesisdown R package. He is also a co-author of ModernDive, an open-source textbook for introductory statistics and data science students using R.