Get access to all lessons in this course.
-
Advanced Data Wrangling
- Downloading and Importing Data
- Overview of Tidy Data
- Tidy Data Rule #1: Every Column is a Variable
- Tidy Data Rule #3: Every Cell is a Single Value
- Tidy Data Rule #2: Every Row is an Observation
- Changing Variable Types
- Dealing with Missing Data
- Advanced Summarizing
- Binding Data Frames
- Functions
- Data Merging
- Exporting Data
- Bring It All Together (Advanced Data Wrangling)
-
Advanced Data Visualization
- Best Practices in Data Visualization
- Tidy Data
- Pipe Data into ggplot
- Reorder Plots to Highlight Findings
- Line Charts
- Use Color to Highlight Findings
- Declutter
- Add Descriptive Labels to Your Plots
- Use Titles to Highlight Findings
- Use Annotations to Explain
- Tweak Spacing
- Create a Custom Theme
- Customize Your Fonts
- Try New Plot Types
- Bring it All Together (Advanced Data Visualization)
-
Quarto
- Advanced Markdown
- Advanced YAML and Code Chunk Options
- Tables
- Inline R Code
- Making Your Reports Shine: Word Edition
- Making Your Reports Shine: PDF Edition
- Making Your Reports Shine: HTML Edition
- Presentations
- Dashboards
- Websites
- Publishing Your Work
- Quarto Extensions
- Parameterized Reporting, Part 1
- Parameterized Reporting, Part 2
- Parameterized Reporting, Part 3
- Wrapping up Going Deeper with R
Going Deeper with R
Line Charts
This lesson is locked
This lesson is called Line Charts, part of the Going Deeper with R course. This lesson is called Line Charts, part of the Going Deeper with R course.
If the video is not playing correctly, you can watch it in a new window
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
View code shown in video
# Load Packages -----------------------------------------------------------
library(tidyverse)
library(fs)
# Create Directory --------------------------------------------------------
dir_create("data")
# Download Data -----------------------------------------------------------
# download.file("https://github.com/rfortherestofus/going-deeper-v2/raw/main/data/third_grade_math_proficiency.rds",
# mode = "wb",
# destfile = "data/third_grade_math_proficiency.rds")
# Import Data -------------------------------------------------------------
third_grade_math_proficiency <-
read_rds("data/third_grade_math_proficiency.rds") |>
select(academic_year, school, school_id, district, proficiency_level, number_of_students) |>
mutate(is_proficient = case_when(
proficiency_level >= 3 ~ TRUE,
.default = FALSE
)) |>
group_by(academic_year, school, district, school_id, is_proficient) |>
summarize(number_of_students = sum(number_of_students, na.rm = TRUE)) |>
ungroup() |>
group_by(academic_year, school, district, school_id) |>
mutate(percent_proficient = number_of_students / sum(number_of_students, na.rm = TRUE)) |>
ungroup() |>
filter(is_proficient == TRUE) |>
select(academic_year, school, district, percent_proficient) |>
rename(year = academic_year) |>
mutate(percent_proficient = case_when(
is.nan(percent_proficient) ~ NA,
.default = percent_proficient
))
# Plot --------------------------------------------------------------------
third_grade_math_proficiency |>
filter(district == "Portland SD 1J") |>
view()
third_grade_math_proficiency |>
filter(district == "Portland SD 1J") |>
ggplot(aes(x = year,
y = percent_proficient)) +
geom_line()
third_grade_math_proficiency |>
filter(district == "Portland SD 1J") |>
ggplot(aes(x = year,
y = percent_proficient,
group = school)) +
geom_line()Your Turn
Make a line chart that shows the change in the Hispanic/Latino population in school districts from 2021-2022 to 2022-2023.
Learn More
There are also spins on line charts that you can easily make by adjusting your geom. For example, you can use geom_area() to make area charts.
There are also extensions that take idea of line charts further. Here is a plot made with the ggbump package, for instance, which enables you to make slopegraphs (another cousin of line charts) with curves.
You need to be signed-in to comment on this post. Login.