Interactive Course

Effective Data Storytelling using the tidyverse (FREE)

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

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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.

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Chester Ismay
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.

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