2016-06_spreadsheets

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2016-06_spreadsheets

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Talks given in May and June 2016.

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## 2016-06_spreadsheets

Talks given at

* csv, conf, v2: <http://csvconf.com>
    2016 May 03/04, Berlin
  * Genentech, 2016 June 23, San Francisco
  * BioC 2016: <http://bioconductor.org/help/course-materials/2016/BioC2016/>
    2016 June 25/26, Stanford
  * useR! 2016: <http://user2016.org> 2016 June 27 - 30, Stanford
  * JSM 2016: [Reproducibility in Statistics and Data Science](https://www.amstat.org/meetings/jsm/2016/onlineprogram/ActivityDetails.cfm?sessionid=212538), invited session, 2016 Aug 3, Chicago

## Slides

Browse on Speakerdeck

* The ~1 hour version: <https://speakerdeck.com/jennybc/spreadsheets>

PDFs here in this repo

* The ~1 hour version: [2016-06_genentech-bioc.pdf](https://github.com/jennybc/2016-06_spreadsheets/blob/master/2016-06_genentech-bioc.pdf) *warning: big PDF, more pleasant to browse on [Speakerdeck](https://speakerdeck.com/jennybc/spreadsheets)*
  * The 15 minute useR version: [2016-06_useR-stanford.pdf](https://github.com/jennybc/2016-06_spreadsheets/blob/master/2016-06_useR-stanford.pdf)

## Video

Video of the 15 min talk at useR! 2016 @ Stanford:

<https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/jailbreakr-Get-out-of-Excel-free>

## People, credits, links, inspiration, etc.

Me, in other places

* twitter: <https://twitter.com/JennyBryan>
  * github: <https://github.com/jennybc>
  * STAT 545 twitter: <https://twitter.com/STAT545>
  * STAT 545 website: <http://stat545.com>

csv, conf, v1  
<http://csvconf.com/2014/>

Felienne Hermans

* <http://www.felienne.com>
  * twitter: <https://twitter.com/Felienne>

Rich FitzJohn

* Research Software Engineer, University College London
  * github: <https://github.com/richfitz>
  * twitter: <https://twitter.com/rgfitzjohn>
  * website: <http://richfitz.github.io>
  * <https://github.com/richfitz/jiffy>

Gordon Shotwell tweets about dystopian moonscapes:

* <https://twitter.com/gshotwell/status/646219102609014785>
  * <https://twitter.com/gshotwell/status/577485681146097664>

"50 million accountants use monads in Excel. They just don't go around explaining monads to everyone..."  
https://twitter.com/tomaspetricek/status/687947134088392704

Felienne Hermans shows an example of monads in Excel @14:45 in this talk: <https://vimeo.com/162206549>

My middle finger gif re: Excel having had reactivity for years  
https://twitter.com/JennyBryan/status/713198745022693377

Not So Standard Deviations (NSSD) Podcast by Hilary Parker and Roger Peng  
Episode 9 - Spreadsheet Drama  
<https://soundcloud.com/nssd-podcast/episode-9-spreadsheet-drama>

Philip Guo <https://twitter.com/pgbovine> blog posts about command bullshittery

* [Helping my students overcome command-line bullshittery](http://pgbovine.net/command-line-bullshittery.htm)
  * [An example of command-line bullshittery in computer science research](http://pgbovine.net/cmdline-bs-example.htm)
  
Sources for approximate facts re: Excel, R, Python usage

* <http://www.wsj.com/articles/do-you-really-need-microsoft-office-anymore-1407873198>
  * <http://news.microsoft.com/bythenumbers/>
  * <https://twitter.com/grammarware/status/709173561663983617> and replies
  * <https://twitter.com/JennyBryan/status/709252242109440000> and replies
  * <https://www.quora.com/How-many-people-use-R>
  * <http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html>
  * <https://blog.pythonanywhere.com/67/>
  
Tools used in /r/DataIsBeautiful posts  
<http://www.randalolson.com/2016/03/11/what-data-visualization-tools-do-rdataisbeautiful-oc-creators-use/>
  
Donald Rumsfeld: "As you know, you go to war with the army you have, not the army you might want or wish to have at a later time."

Chris Albon <https://twitter.com/chrisalbon> riffing on that w/r/t to a crazy web form: "You go to production with the features you know, not the features you need."  
<https://twitter.com/chrisalbon/status/720613507457093632>

Me <https://twitter.com/JennyBryan/status/735671032636276736>: "The more spreadsheets I look at, the more I realize ppl use them like I use a git repo. It's how they manage data + "code" + figs & results."

Thread of CRAZY spreadsheet stories, in response to my tweet:  
<https://twitter.com/JennyBryan/status/722954354198597632>

The Kinsey report:  
<https://en.wikipedia.org/wiki/Kinsey_Reports>  
<https://en.wikipedia.org/wiki/File:Kinsey-Male.jpg>

Enron corpus:

* <https://en.wikipedia.org/wiki/Enron_Corpus>
  * Blog post: A modern day Pompeii: Spreadsheets at Enron
    - <http://www.felienne.com/archives/3634>
  * Enron spreadsheets and emails
    - https://figshare.com/articles/Enron_Spreadsheets_and_Emails/1221767
  * Hermans and Murphy Hill paper about the Enron spreadsheets
    - <https://figshare.com/articles/Enron_s_Spreadsheets_and_Related_Emails_A_Dataset_and_Analysis/1222882>
  * Pompeii image <https://www.flickr.com/photos/simonpocock/318438014>
  * <https://en.wikipedia.org/wiki/Enron#/media/File:Logo_de_Enron.svg>
  * Enron sheets shown:
    - frank_ermis__11178__Enron Pricing Report.xlsx
    - NFL betting series: errol_mclaughlin_jr__XXXXX__weekY.xlsx

Excel color-formatted table with exploding pie chart:  
<http://pubpages.unh.edu/~mjp262/excel_spreadsheet.jpg>

Dog shaming

* <http://www.dogshaming.com>
  * <http://giveitlove.com/wp-content/uploads/Dog-Hiding-Between-Two-Couch-Cushions.jpg>

xkcd comic:  
<http://xkcd.com/1667/>  
<http://imgs.xkcd.com/comics/algorithms.png>

Advice re: organizing data in spreadsheets

* Tutorial by Karl Broman
    - <http://kbroman.org/dataorg/>
  * Lesson from Data Carpentry
    - <http://www.datacarpentry.org/spreadsheet-ecology-lesson/>
  * Advice from UK Gov’t Statistical Service Good Practice Team
    - <https://gss.civilservice.gov.uk/wp-content/uploads/2012/12/Releasing-statistics-in-spreadsheets-Good-practice-guidance.pdf>
  * Luis D. Verde blog post
    - http://luisdva.github.io/pls-don't-do-this

Examples of new spreadsheet implementations

* Stencila sheets
    - <https://stenci.la>
  * Alphasheets
    - <http://www.alphasheets.com>
  * pyspread
    - <http://manns.github.io/pyspread/>
    
Some of the other csvconf talks from Stencila contributors

* [Oliver Buchtala and Michael Aufreiter](http://csvconf.com/#buchtalaaufreiter)
  * [Jure Triglav](http://csvconf.com/#jtriglav)
    
Tweet: If your collaborator asks, “In what form would you like the data?” you should respond, “In its current form.”  
<https://twitter.com/JeanVAdams/status/707241263645392896>

Some of the other csvconf talks re: dealing with data in suboptimal form

* [Till Doehman](http://csvconf.com/#tdoehman)
  * [Darren Barnes](http://csvconf.com/#dbarnes)

TableToLongForm R package

* "automatically converts hierarchical Tables intended for a human reader into a simple LongForm Dataframe that is machine readable"
  * <https://cran.r-project.org/web/packages/TableToLongForm/index.html>
  * R Journal article: <https://journal.r-project.org/archive/2014-2/oh.pdf>

R packages that talk to Excel (there are even more!):

* readxl: [CRAN](https://cran.r-project.org/web/packages/readxl/index.html), [GitHub](https://github.com/hadley/readxl)
  * openxlsx: [CRAN](https://cran.r-project.org/web/packages/openxlsx/index.html), [GitHub](https://github.com/awalker89/openxlsx) (zip dep.)
  * xlsx: [CRAN](https://cran.r-project.org/web/packages/xlsx/index.html), [GitHub](https://github.com/dragua/xlsx) (Java dep.)
  * XLConnect: [CRAN](https://cran.r-project.org/web/packages/XLConnect/index.html), [GitHub](https://github.com/miraisolutions/xlconnect) (Java dep.)
  * gdata: [CRAN](https://cran.r-project.org/web/packages/gdata/index.html) Perl dep.)
  * RODBC: [CRAN](https://cran.r-project.org/web/packages/RODBC/index.html) (Windows only)
  
Mango blog post about R packages to read/write Excel:  
<http://www.mango-solutions.com/wp/2015/05/r-the-excel-connection/>

`googlesheets` package

* On GitHub: <https://github.com/jennybc/googlesheets>
  * On CRAN: <https://cran.r-project.org/web/packages/googlesheets/index.html>

`rsheets` organization holds several packages, mostly WIPs

* Organization: <https://github.com/rsheets>
  * <https://github.com/rsheets/cellranger>
  * <https://github.com/rsheets/linen>
  * <https://github.com/rsheets/rexcel>
  * <https://github.com/rsheets/jailbreakr>
  
David Robinson RPub tidying one of the Enron sheets  
<http://rpubs.com/dgrtwo/tidying-enron>

UBC Master of Data Science program  
<http://mds.science.ubc.ca>

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