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Beginner

Updated 01/2025

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Course Description

Self-directed bootcamp for learning the basics of data manipulation with the tidyverse. We start with visualization and ask fun questions of the data.

Prerequisites

There are no prerequisites for this course

1

The Magic of ggplot2

Quick Data Frame Introduction

Thinking about aesthetics

Mapping variables to produce geometric plots

More about aes

Points versus lines

Geoms are layers on a ggplot

Quick review about ggplot2

Final Challenge: Recreate this Gapminder Plot

What you learned in this chapter

0 XP

2

ggplot2 and categorical data

Review of factors

A Basic Barplot using `geom_bar()`

Stacked Bars

Proportional Barchart

Dodge those bars!

Faceting a graph

Super Quick Review

Your Task: Bar Charts

Try out geom_boxplot() yourself

Violin Plots

Your task: How heavy are our pets?

What you learned in this chapter

3

Introduction to dplyr

4

The Whys and Hows of Tidy Data

What you'll learn in this Chapter:

0 XP

What is Tidy Data?

tidyr::gather()

tidyr::spread()

dplyr::separate()

Wide Versus Long Data

Putting dplyr, tidyr, and ggplot2 all together

Was there a difference?

What you learned in this Chapter

5

Simple Stats and Modeling with broom

We've built a foundation. Now to stats!

0 XP

Let's explore the fishermen mercury dataset

Visualize Mean of Total Mercury by Fisherman Status

Compute Means with group_by

Is there a difference?

T-test of means for fisherman status

Sweep up that output with Broom

Let's delve deeper into the data

Linear Regression

Broom with linear regression

Broom with linear regression: glance

Compare our models

Prediction of mercury

Challenge 1: augment + ggplot2

Challenge 2: Proportions of fishpart by fisherman status

What you learned in this chapter

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