``` r library(flipbookr) library(here) ``` ``` ## here() starts at /Users/lily.popova.zhuhadar/Documents/R Workspace/data_wrangling_rmd ``` ``` r library(tidyverse) ``` ``` ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr 1.3.1 ## ✔ purrr 1.0.2 ``` ``` ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr::filter() masks stats::filter() ## ✖ dplyr::lag() masks stats::lag() ## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors ``` ``` r library(kjhslides) ``` ``` r ## Configure the slides ## kjh_register_tenso() # Default fonts. Comment out if you don't have Tenso and Berkeley fonts. kjh_set_knitr_opts() kjh_set_slide_theme() # ggplot theme to go with slides. Set tenso = FALSE if necessary. kjh_set_xaringan_opts() ``` class: center middle main-title section-title-1 # Data Wrangling with .kjh-yellow[R] and the .kjh-yellow[Tidyverse] .class-info[ **Data Wrangling: Session 1** .light[Kieran Healy<br> Statistical Horizons, October 2023] ] ------------------------------------------------------------------------ layout: true class: title title-1 ------------------------------------------------------------------------ # Housekeeping   -- ## 10am till 12:30pm US EST each day -- ## 1:30pm to 3:30pm US EST each day -- ## .kjh-blue[Use the Zoom chat to ask questions, or raise a hand with ] ??? - breaks: At 11am, around noon, and 1pm ------------------------------------------------------------------------ # In between class sessions <br /> \## <figure alt="Slack logo" title="Slack logo">  </figure> ??? - Slack is super useful ------------------------------------------------------------------------ # For a better Zoom experience .pull-left.center[ ] - If you're watching in full-screen view and I'm sharing my screen, then from Zoom's "View options" menu *turn off* "Side-by-Side" mode. ------------------------------------------------------------------------ # My Setup and Yours   -- ## Talking, Slides, and Live-Coding in RStudio ## Follow along with RStudio yourself if you can ## The course packet is also an RStudio project and the place for your notes ------------------------------------------------------------------------ # Goals for this first session   -- ## Some big-picture motivation & perspective ## Getting familiar with RStudio and its relationship to R ## Getting oriented to R and how it thinks ??? Maybe you're familiar with R already, but I don't assume it. So please bear with me. I do find that, often, it's good to revisit some of the basic features of R and RStudio, as very often people learn them on an as-needed basis, which leads to some gaps. So hopefully even if you are a bit familiar with these tools you'll learn some new things. ------------------------------------------------------------------------ layout: false class: center # .huge.middle.squish4[<br />.kjh-orange[DATA ANALYSIS]<br />is mostly<br />.kjh-red[DATA WRANGLING]] ------------------------------------------------------------------------ layout: true class: title title-1 ------------------------------------------------------------------------ # Wrangling data is frustrating .center[ <img src="img/sad-mac.jpg" title="Sad Mac" alt="Sad Mac" width="1500%"/>] ------------------------------------------------------------------------ # Can we make it .kjh-yellow[fun]? .pull-left.center[ ] -- .pull-right[.box-inv-1.huge[.kjh-red[**No.**]]] -- .pull-right[.box-inv-1.small[  ⇦ Not *this* much fun, at any rate]] ------------------------------------------------------------------------ # OK but can we eliminate frustration? .pull-left[ ] -- .pull-right[.box-inv-1.huge[.kjh-orange[**Also no.**]]] -- .pull-right[.box-inv-1.small[  Sorry.]] ------------------------------------------------------------------------ layout: false class: center # .huge.middle.squish4[<br /><br />HOWEVER, WE *CAN*<br />MAKE IT *.kjh-green[WORK]*] -- - Also, it's weirdly satisfying once you get into it. ------------------------------------------------------------------------ layout: true class: title title-1 ------------------------------------------------------------------------ # We take a broadly *.kjh-yellow[Plain Text]* approach .pull-left[ ] -- - Using R and the Tidyverse can be understood within this broader context. - The same principles would apply to, e.g., using Python or similar tools. ------------------------------------------------------------------------ layout: false class: center # .huge.middle.squish4[Two revolutions<br/>in computing] ------------------------------------------------------------------------ layout: true class: title title-1 ------------------------------------------------------------------------ # Where the action is .pull-left.center[ ] -- - Touch-based user interface -- - Foregrounds a single application -- - Dislikes multi-tasking\* -- - Hides the file system ------------------------------------------------------------------------ # \*Multitasking .middle[I mean, “Making different specialized applications and resources work together in the service of a single but multi-dimensional project”, not “Checking Twitter while also listening to a talk and waiting for an update from the school nurse.”] ------------------------------------------------------------------------ # Where statistical computing lives .pull-left[ ] -- - Windows and pointers. -- - Multi-tasking, multiple windows. -- - Exposes and leverages the file system. -- - Many specialized tools in concert. -- - Underneath, it's the 1970s, UNIX, and the command-line. ------------------------------------------------------------------------ # Plain-Text Tools for Data Analysis .pull-left[ ] -- - Better than they've ever been! -- - Free! Open! Powerful! -- - Friendly community! Many resources! -- - But grounded in a UI paradigm that is increasingly far away from the everyday use of computing devices -- - ## So why do we use these tools? layout: false class: center ## \# .huge.middle[The research process is *.kjh-orange[intrinsically messy]*] ## A rough distinction: "Office" vs "Engineering" approaches ------------------------------------------------------------------------ layout: true class: title title-1 ------------------------------------------------------------------------ # Questions .less-medium[ - What is "real" in your project? - What is the final output? - How is it produced? - How are changes managed? ] ------------------------------------------------------------------------ # Different Answers .pull-left.SMALL[ ## In the Office model - Formatted documents are real. - Intermediate outputs are cut and pasted into documents. - Changes are tracked inside files. - Final output is often in the same format you've been working in, e.g. a Word file, or perhaps a PDF. ] -- .pull-right.SMALL[ ## In the Engineering model - Plain-text files are real. - Intermediate outputs are produced via code, often inside documents. - Changes are tracked outside files. - Final outputs are assembled programatically and converted to a desired output format. ] ------------------------------------------------------------------------ # Different strengths and weaknesses .pull-left.SMALL[ - Everyone knows Word, Excel, or Google Docs. - "Track changes" is powerful and easy. - Hm, why can't I remember how I made this figure?. - Where did this table of results come from?. - .small[`Paper_Submitted_Final_edits_FINAL_kh-1.docx`] ] -- .pull-right.SMALL[ - Plain text is universally portable. - Push button, recreate analysis. - Why can't I make R do this simple thing? - This version control stuff is a pain. - .small[`Object of type 'closure' is not subsettable`] ] -- ## .center[Each approach generates solutions to its own problems] ------------------------------------------------------------------------ layout: false class: center # .huge.middle[<br />INTO THE KITCHEN] ------------------------------------------------------------------------ layout: true class: title title-1 ------------------------------------------------------------------------ .left[] .right[] ------------------------------------------------------------------------ # RStudio is an IDE for R .center[] ------------------------------------------------------------------------ # A kitchen is an IDE for Meals .center[] ------------------------------------------------------------------------ # R & RStudio .center[] ??? SWITCH TO MAC HERE ------------------------------------------------------------------------ # R & RStudio .center[] ------------------------------------------------------------------------ # R & RStudio .center[] ------------------------------------------------------------------------ # RStudio .center[] ------------------------------------------------------------------------ # R & RStudio .center[] ------------------------------------------------------------------------ # R & RStudio .center[] ------------------------------------------------------------------------ # R & RStudio .center[] ------------------------------------------------------------------------ # R & RStudio .center[] ------------------------------------------------------------------------ # Your code is what's real in your project .center[] ------------------------------------------------------------------------ # Consider not showing output inline .center[]