-
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
Bring It All Together (Advanced Data Wrangling)
This lesson is called Bring It All Together (Advanced Data Wrangling), part of the Going Deeper with R course. This lesson is called Bring It All Together (Advanced Data Wrangling), 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(janitor)
# Import Data -------------------------------------------------------------
survey_data_raw <- read_tsv("data-raw/2020-combined-survey-final.tsv") |>
clean_names() |>
mutate(id = row_number())
# Exploration -------------------------------------------------------------
survey_data_raw |>
glimpse()
survey_data_raw
count(qr_learning_path) |>
arrange(desc(n))
# Tidying -----------------------------------------------------------------
other_coding_languages <-
survey_data_raw |>
select(id, qcoding_languages) |>
separate_longer_delim(qcoding_languages,
delim = ", ")
demographics <- survey_data_raw |>
select(id, qyear_born:qcountry)
# Export ------------------------------------------------------------------
other_coding_languages |>
write_rds("data/other_coding_languages.rds")
demographics |>
write_rds("data/demographics.rds")Learn More
For your reference:
Bring it All Together (Data Wrangling) [video]
Bring it All Together (Data Visualization) [video]
Bring it all Together Quarto [video]
You need to be signed-in to comment on this post. Login.