From bdb81b2fdd80985dba6f59179c2f961127e0f429 Mon Sep 17 00:00:00 2001 From: libjohn Date: Wed, 11 Sep 2024 15:15:11 -0400 Subject: [PATCH] beta dplyr --- docs/slides/slides_data-wrangling_dplyr.html | 234 +- slides/slides_data-wrangling_dply.pdf | Bin 595273 -> 0 bytes slides/slides_data-wrangling_dplyr.html | 4343 ------------------ slides/slides_data-wrangling_dplyr.qmd | 42 +- slides/slides_import-data.pdf | Bin 716875 -> 0 bytes 5 files changed, 138 insertions(+), 4481 deletions(-) delete mode 100644 slides/slides_data-wrangling_dply.pdf delete mode 100644 slides/slides_data-wrangling_dplyr.html delete mode 100644 slides/slides_import-data.pdf diff --git a/docs/slides/slides_data-wrangling_dplyr.html b/docs/slides/slides_data-wrangling_dplyr.html index 76d8e4c..74439e7 100644 --- a/docs/slides/slides_data-wrangling_dplyr.html +++ b/docs/slides/slides_data-wrangling_dplyr.html @@ -444,7 +444,7 @@ - + R for Lunch @@ -1228,7 +1228,7 @@

R for Lunch

-

2024-09-09

+

2024-09-11

Today’s topics

@@ -1289,16 +1289,16 @@

Eat your own dog food

Model how R can work for practical reproducible workflows

Pipes and Assignments

 

- +
-+@@ -1364,7 +1364,7 @@

Wide data

gtExtras::gt_theme_dark()
-
+
@@ -2193,7 +2193,7 @@

Tall data

gtExtras::gt_theme_dark()
-
+
@@ -3042,9 +3042,9 @@

Closing

Pipes and Assignments

 

-
+
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R for Lunch

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Data wrangling with {dplyr}

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- - Duke University Libraries - -

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- Center for Data & Visualization Sciences -

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2024-01-17

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Today’s topics

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  • Five essential {dplyr} data wrangling verbs

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  • Data pipes inside code-chunks

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Yesterday (video)

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  • Import data

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  • Tour of RStudio IDE

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  • Coding notebooks (Quarto)

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Housekeeping

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  • Drew / Lauren / breakout rooms
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  • CDVS -
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    • Themes -
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      • Data Management (Plans, Reproducibility, Repositories)

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      • Data Science

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      • Data Visualization

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      • GIS and Spatial Analysis

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      • Data Sources

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Housekeeping continued

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R for Lunch as a series

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R for Lunch is a series that meets 8 times (till EOM Feb.) After today it will meet regularly on Thursdays at noon.

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  • Sign-up for each workshop individually

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  • Each episode has a unique zoom link

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Eat your own dog food

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-Model how R can work for practical reproducible workflows

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Pipes and Assignments

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OperatorOperator NameKeystorePnuemonic
<-assignmentAlt-dash“Gets value from”

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pipeCtrl-Shift-M“And then”
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Tidyverse and Tidy data

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Foundation

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Tidyverse and Quarto is the most practical and well developed, reproducible, scientific analysis and publishing workflow available.

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Tidy data1

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Tidy data

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  • Every column is a variable
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Wide data

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library(tidyverse)
-library(gt)
-library(gtExtras)
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-tidyr::relig_income |> 
-  gt::gt_preview() |> 
-  gtExtras::gt_theme_dark()
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religion<$10k$10-20k$20-30k$30-40k$40-50k$50-75k$75-100k$100-150k>150kDon't know/refused
1Agnostic27346081761371221098496
2Atheist12273752357073597476
3Buddhist27213034335862395354
4Catholic41861773267063811169497926331489
5Don’t know/refused151415111035211718116
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relig_income |> 
-  pivot_longer(cols = -religion, 
-               names_to = "income_category", 
-               values_to = "income") |> 
-  gt::gt_preview() |> 
-  gtExtras::gt_theme_dark()
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religionincome_categoryincome
1Agnostic<$10k27
2Agnostic$10-20k34
3Agnostic$20-30k60
4Agnostic$30-40k81
5Agnostic$40-50k76
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180UnaffiliatedDon't know/refused597
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relig_income |> 
-  pivot_longer(cols = -religion, 
-               names_to = "income_category", 
-               values_to = "income") |> 
-  mutate(religion = fct_relevel(religion, "Evangelical Prot", "Mainline Prot", "Catholic", "Unaffiliated", "Historically Black Prot")) |> 
-  mutate(income_category = fct_rev(as_factor(income_category))) |>
-  ggplot(aes(income, income_category)) +
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Code

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relig_income |> 
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-  ggplot(aes(value, income_category)) +
-  geom_col() +
-  facet_wrap(vars(religion))
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Image Credit: apreshill | CC BY 4.0 | https://github.com/apreshill/teachthat/blob/master/pivot/pivot_longer_smaller.gif]

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Polls

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dplyr

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https://intro2r.library.duke.edu/wrangle.html

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We are here to help

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  • askData@duke.edu

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  • https://is.gd/littleconsult

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Let’s do it

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Two things for today

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Exercises

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  1. https://intro2r.library.duke.edu/ > Exercises > Link out > Green Code button > Download ZIP

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  3. Then, Unzip (i.e. Expand) the folder (on your local file system)

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  5. Then, double click the rforlunch_exercises.Rproj file

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  7. From RStudio the Files tab, open the 01_dplyr.qmd

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Closing

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Pipes and Assignments

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- ------ - - - - - - - - - - - - - - - - - - - - - - -
OperatorOperator NameKeystorePnuemonic
<-assignmentAlt-dash“Gets value from”

|>
-or

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%>%

pipeCtrl-Shift-M“And then”
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Citation management

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RStudio > Quarto Notebook > Insert > Citation

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Example DOI: 10.18637/jss.v059.i10

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ai-paired coding

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  • Data science concepts: Microsoft copilot (“More precise” setting)

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  • Code completion: GitHub copilot and RStudio (IDE) or VSCode (IDE)

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Bye for now

- - -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/slides/slides_data-wrangling_dplyr.qmd b/slides/slides_data-wrangling_dplyr.qmd index 93d2b72..f542801 100644 --- a/slides/slides_data-wrangling_dplyr.qmd +++ b/slides/slides_data-wrangling_dplyr.qmd @@ -77,7 +77,7 @@ Model how R can work for practical reproducible workflows - Code in RStudio -- One kind of report is these slides ([GitHub](https://github.com/libjohn/rforlunch_exercises/blob/main/slides/slides_import-data.pdf "PDF report - slides")) +- One kind of report is these slides (today: [data wrangling](https://libjohn.github.io/rforlunch_exercises/slides/slides_data-wrangling_dplyr.html#/eat-your-own-dog-food) ; yesterday: [import data](https://libjohn.github.io/rforlunch_exercises/slides/slides_import-data.html)) - Another report is the [*Introduction to R/Tidyverse/Quarto* text](https://intro2r.library.duke.edu/). @@ -85,16 +85,16 @@ Model how R can work for practical reproducible workflows   -+----------+---------------+--------------+-------------------+ -| Operator | Operator Name | Keystore | Pnuemonic | -+==========+===============+==============+===================+ -| `<-` | assignment | Alt-dash | "Gets value from" | -+----------+---------------+--------------+-------------------+ -| `|>`\ | pipe | Ctrl-Shift-M | "And then" | -| or | | | | -| | | | | -| `%>%` | | | | -+----------+---------------+--------------+-------------------+ ++-------------+---------------+--------------+-------------------+ +| Operator | Operator Name | Keystore | Pnuemonic | ++=============+===============+==============+===================+ +| `<-` | assignment | Alt-dash | "Gets value from" | ++-------------+---------------+--------------+-------------------+ +| `|>`\ | pipe | Ctrl-Shift-M | "And then" | +| or | | | | +| | | | | +| `%>%` | | | | ++-------------+---------------+--------------+-------------------+ # Tidyverse and Tidy data @@ -238,16 +238,16 @@ Image Credit: apreshill \| CC BY 4.0 \| https://github.com/apreshill/teachthat/b   -+----------+---------------+--------------+-------------------+ -| Operator | Operator Name | Keystore | Pnuemonic | -+==========+===============+==============+===================+ -| `<-` | assignment | Alt-dash | "Gets value from" | -+----------+---------------+--------------+-------------------+ -| `|>`\ | pipe | Ctrl-Shift-M | "And then" | -| or | | | | -| | | | | -| `%>%` | | | | -+----------+---------------+--------------+-------------------+ ++-------------+---------------+--------------+-------------------+ +| Operator | Operator Name | Keystore | Pnuemonic | ++=============+===============+==============+===================+ +| `<-` | assignment | Alt-dash | "Gets value from" | ++-------------+---------------+--------------+-------------------+ +| `|>`\ | pipe | Ctrl-Shift-M | "And then" | +| or | | | | +| | | | | +| `%>%` | | | | ++-------------+---------------+--------------+-------------------+ ## Citation management diff --git a/slides/slides_import-data.pdf b/slides/slides_import-data.pdf deleted file mode 100644 index 4e57b28d93d1a28f55a5e98cc86cc7eb7b6f219c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 716875 zcmeFa1z1$=7WXYuf)WZy2r_`A#EbazP#f|PWLlG4ZkA|=u#-JMc`NTWz9 z@&OjlIh^M`p68tNz2|y2*NieZbIsnf_r2EM*ZST6^{12<7G+>zWJjkgS$+N)9Sj9A zgRJ$;(0O=3Owxu{#ttSRFzeBnB02~JViGmAa4@tx`rks=!BE&x-`c=@GaG*f>&HHPTK5Du)QSxjsjo*L_p#_FhqoFwg*TN=^U# zhcxpiLqyNn!|pO%S6{!SLV?#bUrfhx?^VWt;XtT0xvOURfSWR!2TRcGO?*7UWj!P% zJ&n}z%l(bQa!`V2S7#NI@ZRe+)rwz1f9oLHApTKASHFdTu*$vNdMVg1!cVq9vuRz! 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