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.
Transcript
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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]
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Course Content
44 Lessons
1
Downloading and Importing Data
10:32
2
Overview of Tidy Data
05:50
3
Tidy Data Rule #1: Every Column is a Variable
07:43
4
Tidy Data Rule #3: Every Cell is a Single Value
10:04
5
Tidy Data Rule #2: Every Row is an Observation
04:42
6
Changing Variable Types
04:51
7
Dealing with Missing Data
04:55
8
Advanced Summarizing
06:25
9
Binding Data Frames
07:17
10
Functions
15:06
11
Data Merging
09:27
12
Exporting Data
04:38
13
Bring It All Together (Advanced Data Wrangling)
13:03
1
Best Practices in Data Visualization
03:44
2
Tidy Data
02:25
3
Pipe Data into ggplot
09:54
4
Reorder Plots to Highlight Findings
03:37
5
Line Charts
04:17
6
Use Color to Highlight Findings
09:16
7
Declutter
08:29
8
Add Descriptive Labels to Your Plots
09:10
9
Use Titles to Highlight Findings
08:14
10
Use Annotations to Explain
07:09
11
Tweak Spacing
05:11
12
Create a Custom Theme
03:47
13
Customize Your Fonts
08:32
14
Try New Plot Types
03:24
15
Bring it All Together (Advanced Data Visualization)
14:30
1
Advanced Markdown
06:43
2
Advanced YAML and Code Chunk Options
05:53
3
Tables
18:36
4
Inline R Code
04:42
5
Making Your Reports Shine: Word Edition
04:30
6
Making Your Reports Shine: PDF Edition
06:11
7
Making Your Reports Shine: HTML Edition
06:06
8
Presentations
10:12
9
Dashboards
05:38
10
Websites
06:43
11
Publishing Your Work
04:38
12
Quarto Extensions
05:50
13
Parameterized Reporting, Part 1
10:57
14
Parameterized Reporting, Part 2
05:11
15
Parameterized Reporting, Part 3
07:47
16
Wrapping up Going Deeper with R
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