From beb3013acf9590a7a88b3e4f6d1443b3a5366b79 Mon Sep 17 00:00:00 2001 From: Martin Monkman Date: Thu, 14 Mar 2019 21:15:03 -0700 Subject: [PATCH] right before hitting the "publish" button --- 01_Introduction.Rmd | 2 +- 02_data_science_defined.Rmd | 13 ++---------- 03_data_science_practice.Rmd | 25 ++++++++--------------- 10_data_theory.rmd | 8 -------- 11_data_sources.rmd | 12 +---------- 12_data_reading_fileformat.rmd | 9 -------- 13_anonymity_confidentiality.Rmd | 7 ------- 15_data_wrangling.Rmd | 12 +---------- 40_data_visualization.Rmd | 7 ------- 41_chart_types.Rmd | 9 +------- 50_quantitative_methods.Rmd | 7 ------- 51_bayesian.Rmd | 13 +++--------- 52_machine_learning.Rmd | 9 +------- 53_regression.Rmd | 9 +------- 59_quantitative_methods.Rmd | 10 ++------- 60_text_analysis.rmd | 8 +------- 70_spatial_data.Rmd | 9 +------- 80_communicating.rmd | 10 ++------- 81_writing.Rmd | 12 ++++++++--- 82_writing_about_numbers.Rmd | 8 +++++--- 85_RMarkdown.Rmd | 8 -------- 86_presentations.Rmd | 14 +++---------- book.bib | 35 +++++++++++++++++++++++++++++--- 23 files changed, 74 insertions(+), 182 deletions(-) diff --git a/01_Introduction.Rmd b/01_Introduction.Rmd index 1be7726..8f76963 100644 --- a/01_Introduction.Rmd +++ b/01_Introduction.Rmd @@ -26,7 +26,7 @@ The paragraphs above are a long-winded way of saying that I acknowledge that wha The book's layout is currently in six broad categories: -### Data Science \@ref(DataScience) +### Data Science \@ref(datasciencedefined) Combining chapters about the scope and definitions of data science (Chapter \@ref(datasciencedefined): This thing called "data science"), along with overviews of good research practice, from opinionated analysis design to script style (Chapter \@ref(practice): Statistical & Data Science Practice). diff --git a/02_data_science_defined.Rmd b/02_data_science_defined.Rmd index 36be423..c033f35 100644 --- a/02_data_science_defined.Rmd +++ b/02_data_science_defined.Rmd @@ -3,15 +3,6 @@ # This thing called "data science" {#datasciencedefined} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - - *** @@ -30,7 +21,7 @@ Hadley Wickham (2018) [Readings in Applied Data Science](https://github.com/hadl David Robinson (2018-01-09) ["What's the difference between data science, machine learning, and artificial intelligence?"](http://varianceexplained.org/r/ds-ml-ai/) -

Let's try that again pic.twitter.com/1G4wHvGvdd

— Data Science Renee (@BecomingDataSci) September 6, 2016
+

Let's try that again pic.twitter.com/1G4wHvGvdd

— Data Science Renee (/@/BecomingDataSci) September 6, 2016
Mango Solutions (2018-08-15) ["Demystifying Data Science Terminology"](https://www.mango-solutions.com/blog/demystifying-data-science-terminology) @@ -128,7 +119,7 @@ Samantha Leonard, ["6 Must-Have Skills For Data Analysts"](https://www.northeast ### Statistics and other quantitative methods: courses and text books -

R advice needed - I am (thinking of) switching my undergrad 'metrics class from Stata to R. 2 questions: 1 - what exactly do my students (and I!) need to download to use R 2 - what introductory tutorial is most helpful for students (and me)

— Amanda Agan (@amandayagan) December 27, 2018
+

R advice needed - I am (thinking of) switching my undergrad 'metrics class from Stata to R. 2 questions: 1 - what exactly do my students (and I!) need to download to use R 2 - what introductory tutorial is most helpful for students (and me)

— Amanda Agan (/@/amandayagan) December 27, 2018
diff --git a/03_data_science_practice.Rmd b/03_data_science_practice.Rmd index ad49678..9a04444 100644 --- a/03_data_science_practice.Rmd +++ b/03_data_science_practice.Rmd @@ -1,15 +1,6 @@ # Statistical & Data Science Practice {#practice} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - - First, an excellent list of data science resources: @@ -98,7 +89,7 @@ An over-arching structure of what a project could (or should?) look like can be * Emily Robinson, [Red Flags in Data Science Interviews](http://hookedondata.org/Red-Flags-in-Data-Science-Interviews/) -

New blog post, co-written with @skyetetra! 12 red flags to watch out for in data science interviews 🚩https://t.co/hM2E7I46Da pic.twitter.com/jFVA7mmjjU

— Emily Robinson (@robinson_es) July 3, 2018
+

New blog post, co-written with /@/skyetetra! 12 red flags to watch out for in data science interviews 🚩https://t.co/hM2E7I46Da pic.twitter.com/jFVA7mmjjU

— Emily Robinson (/@/robinson_es) July 3, 2018
@@ -106,7 +97,7 @@ An over-arching structure of what a project could (or should?) look like can be ## Reproducible research -

This is the future. Show. Your. Damn. Work. https://t.co/4GWFdXSs17

— Chris Albon (@chrisalbon) January 16, 2018
+

This is the future. Show. Your. Damn. Work. https://t.co/4GWFdXSs17

— Chris Albon (/@/chrisalbon) January 16, 2018
@@ -145,7 +136,7 @@ Economics & Econometrics"](https://www.tse-fr.eu/sites/default/files/TSE/documen ### spreadsheets: the anti-reproducible research -

I read "Data analysis without scripting" as "Dystopian moonscape of unrecorded user actions". I may not be Tableau's target market. #rstats

— Gordon Shotwell (@gshotwell) March 16, 2015
+

I read "Data analysis without scripting" as "Dystopian moonscape of unrecorded user actions". I may not be Tableau's target market. #rstats

— Gordon Shotwell (/@/gshotwell) March 16, 2015
@@ -154,7 +145,7 @@ Economics & Econometrics"](https://www.tse-fr.eu/sites/default/files/TSE/documen * Ignasi Bartomeus and F Rodriguez-Sanchez, _Non-reproducible workflows: a horror movie_ : -

That awesome video on reproducibility with #rstats by @ibartomeus and @frod_san you can find here: https://t.co/indBflvupv https://t.co/QcdonwVTk8

— David Smith (@revodavid) October 10, 2017
+

That awesome video on reproducibility with #rstats by /@/ibartomeus and /@/frod_san you can find here: https://t.co/indBflvupv https://t.co/QcdonwVTk8

— David Smith (/@/revodavid) October 10, 2017
- with more at [Reproducibilidad](http://ecoinfaeet.github.io/2016/07/06/reproducibilidad/) @@ -221,7 +212,7 @@ Reproducible Science Workshop, 2015 * Karl Broman and Kara Woo, ["Data organization in spreadsheets"](http://www.tandfonline.com/doi/full/10.1080/00031305.2017.1375989), _The American Statistician_, 2017-09-29. -

For data scientists thinking about biases in your data, don't start by reading the computer science literature. Read epidemiology instead. You need data street smarts, not mathy book smarts. Otherwise the first data set you meet is going to beat you up and take your lunch money!

— Kareem ❤️ statistics (@kareem_carr) February 11, 2019
+

For data scientists thinking about biases in your data, don't start by reading the computer science literature. Read epidemiology instead. You need data street smarts, not mathy book smarts. Otherwise the first data set you meet is going to beat you up and take your lunch money!

— Kareem ❤️ statistics (/@/kareem_carr) February 11, 2019
@@ -238,7 +229,7 @@ Hadley Wickham, [The tidyverse style guide](https://style.tidyverse.org/) Hadley Wickham, ["Style Guide"](http://adv-r.had.co.nz/Style.html) chapter from [_Advanced R_](http://adv-r.had.co.nz/) -[Coding etiquette](https://ourcodingclub.github.io/2017/04/25/etiquette.html), a guide to writing clear, informative and easy-to-use #RStats code by @CodingClub +[Coding etiquette](https://ourcodingclub.github.io/2017/04/25/etiquette.html), a guide to writing clear, informative and easy-to-use #RStats code by /@/CodingClub Joel Lee, 2017-12=22, [The Weirdest Programming Principles You’ve Never Heard Of](https://www.makeuseof.com/tag/weird-programming-principles/) @@ -252,7 +243,7 @@ John D. Blischak, Emily R. Davenport, Greg Wilson (2016-01-19) ["A Quick Introdu ### Documentation -

"Writing documentation is all about making future you remember things that present you knows future you will forget" -- @data_stephanie #rstats #Rladies

— R-Ladies Chicago (@RLadiesChicago) February 14, 2018
+

"Writing documentation is all about making future you remember things that present you knows future you will forget" -- /@/data_stephanie #rstats #Rladies

— R-Ladies Chicago (/@/RLadiesChicago) February 14, 2018
@@ -299,7 +290,7 @@ Dani Marillas, 2017-01-25, ["Don’t document your code. Code your documentation ## General research practice -

I didn't think my "start-up" document for my grad students (the resources I wish *I* had when I started a PhD) would prove to be so popular, so I figured I would share them here. So, here's what I've compiled so far. #hiddencurriculum 1/12

— Matt Hauer (@thehauer) July 22, 2018
+

I didn't think my "start-up" document for my grad students (the resources I wish *I* had when I started a PhD) would prove to be so popular, so I figured I would share them here. So, here's what I've compiled so far. #hiddencurriculum 1/12

— Matt Hauer (/@/thehauer) July 22, 2018
diff --git a/10_data_theory.rmd b/10_data_theory.rmd index ccb3c1f..4be5847 100644 --- a/10_data_theory.rmd +++ b/10_data_theory.rmd @@ -3,14 +3,6 @@ # Data Theory {#datatheory} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - diff --git a/11_data_sources.rmd b/11_data_sources.rmd index e5bed1a..9b977ef 100644 --- a/11_data_sources.rmd +++ b/11_data_sources.rmd @@ -1,16 +1,6 @@ # Data Sources & How to Read Them {#datasources} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - - - ## Introduction @@ -43,7 +33,7 @@ Simon Fraser University Library: [Gender, Sexuality & Women's Studies Informatio [Gapminder](https://www.gapminder.org/data/) - all indicators displayed in Gapminder World -

Anyone know of a good migration dataset? Ideally # of people moving from country i to country j by year

— Savage Jim (@jim_savage_) February 10, 2019
+

Anyone know of a good migration dataset? Ideally # of people moving from country i to country j by year

— Savage Jim (/@/jim_savage_) February 10, 2019
diff --git a/12_data_reading_fileformat.rmd b/12_data_reading_fileformat.rmd index 1e94ce2..a766d77 100644 --- a/12_data_reading_fileformat.rmd +++ b/12_data_reading_fileformat.rmd @@ -1,15 +1,6 @@ # How to Read Data {#dataformat} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - - ## Introduction diff --git a/13_anonymity_confidentiality.Rmd b/13_anonymity_confidentiality.Rmd index 8d2f9dc..b7b6ff0 100644 --- a/13_anonymity_confidentiality.Rmd +++ b/13_anonymity_confidentiality.Rmd @@ -2,13 +2,6 @@ **_Or,_ Statistical Disclosure Control, Masking, and De-Identification** -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` ## Introduction diff --git a/15_data_wrangling.Rmd b/15_data_wrangling.Rmd index a86c76e..2a2b933 100644 --- a/15_data_wrangling.Rmd +++ b/15_data_wrangling.Rmd @@ -1,16 +1,6 @@ # Data Wrangling (emphasis on **dplyr**) {#datawrangling} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - - - ## Introduction @@ -36,7 +26,7 @@ Luis D. Verde, 2018-12-14, [Tidyeval meets PDF table hell](http://luisdva.github ### Working with dates -

Updated Turing Test concept:
A spreadsheet of dates, hand-entered by interns more than a decade ago, featuring such well-known time formats as "1996ish", "1941/xd01944", "1955?" and "WWII."
I'm not worried about AI until someone shows me the algorithm that can make sense of this. pic.twitter.com/IhzofigX2b

— Brooke Watson (@brookLYNevery1) January 19, 2018
+

Updated Turing Test concept:
A spreadsheet of dates, hand-entered by interns more than a decade ago, featuring such well-known time formats as "1996ish", "1941/xd01944", "1955?" and "WWII."
I'm not worried about AI until someone shows me the algorithm that can make sense of this. pic.twitter.com/IhzofigX2b

— Brooke Watson (/@/brookLYNevery1) January 19, 2018
diff --git a/40_data_visualization.Rmd b/40_data_visualization.Rmd index 9f2a4c0..fb574d3 100644 --- a/40_data_visualization.Rmd +++ b/40_data_visualization.Rmd @@ -3,13 +3,6 @@ # General {#datavisualization} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` ## Introduction diff --git a/41_chart_types.Rmd b/41_chart_types.Rmd index df532e5..51cd231 100644 --- a/41_chart_types.Rmd +++ b/41_chart_types.Rmd @@ -1,12 +1,5 @@ # Chart types {#charttypes} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` ## Chart types: theory and methods @@ -26,7 +19,7 @@ Laura DeCicco, 2018-08-10, [Exploring ggplot2 boxplots - Defining limits and adj Ron Pearson, 2011-01-29, [Boxplots and Beyond – Part I](https://www.r-bloggers.com/boxplots-and-beyond-part-i/) (first in a multi-part series on various distribution plots) -

More papers should use this plot type!! pic.twitter.com/iEglulaMyM

— Johanna Rickne (@johannarickne) August 11, 2018
+

More papers should use this plot type!! pic.twitter.com/iEglulaMyM

— Johanna Rickne (/@/johannarickne) August 11, 2018
diff --git a/50_quantitative_methods.Rmd b/50_quantitative_methods.Rmd index e413f54..ee1d3c8 100644 --- a/50_quantitative_methods.Rmd +++ b/50_quantitative_methods.Rmd @@ -3,13 +3,6 @@ # Introduction {#quantitativemethods1} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` ## Business analytics diff --git a/51_bayesian.Rmd b/51_bayesian.Rmd index e4d34c8..5940f09 100644 --- a/51_bayesian.Rmd +++ b/51_bayesian.Rmd @@ -1,12 +1,5 @@ # Bayesian Methods {#bayesian} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` @@ -14,14 +7,14 @@ theme_set(theme_light()) [Bayesian statistics: Wikipedia page](https://en.wikipedia.org/wiki/Bayesian_statistics) -Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin, 2014, _Bayesian Data Analysis_ (third edition), CRC Press. +Andrew Gelman et al., _Bayesian Data Analysis_ (third edition) [@Gelman_etal_2014]. Robert Grant (2018-08-07) [How (not) to introduce newcomers to Bayesian analysis](https://robertgrantstats.wordpress.com/2018/08/07/how-not-to-introduce-newcomers-to-bayesian-analysis/) #### R-based -Richard McElreath, 2016, _Statistical Rethinking: A Bayesian Course with Examples in R and Stan_, CRC Press. +Richard McElreath, 2016, _Statistical Rethinking: A Bayesian Course with Examples in R and Stan_ [@McElreath_2016]. * [`rethinking`](https://github.com/rmcelreath/rethinking), the companion R package @@ -29,7 +22,7 @@ Richard McElreath, 2016, _Statistical Rethinking: A Bayesian Course with Example -Jim Albert, 2009, _Bayesian Computation with R_ (second edition), Springer +Jim Albert, _Bayesian Computation with R_ [@Albert_2009] David Robinson, [_Introduction to Empirical Bayes_](https://gumroad.com/l/empirical-bayes) diff --git a/52_machine_learning.Rmd b/52_machine_learning.Rmd index 157ece6..5de362f 100644 --- a/52_machine_learning.Rmd +++ b/52_machine_learning.Rmd @@ -1,17 +1,10 @@ # Machine learning {#ml} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` Machine learning is a growing field of data analysis where the building of models is iterated automatically. This is particularly important in areas where new data is being collected on an on-going basis (examples often used are Netflix recommendations and amazon`s "Recommended for you"). -

Machine learning is basically just a fancier version of y=mx+b https://t.co/lhrUJcjvmN

— Medium (@Medium) February 19, 2019
+

Machine learning is basically just a fancier version of y=mx+b https://t.co/lhrUJcjvmN

— Medium (/@/Medium) February 19, 2019
diff --git a/53_regression.Rmd b/53_regression.Rmd index 97b7bd9..2f5efa0 100644 --- a/53_regression.Rmd +++ b/53_regression.Rmd @@ -1,12 +1,5 @@ # Regression methods {#regression} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` ### R @@ -22,7 +15,7 @@ Selva Prabhakaran, [Linear Regression](http://r-statistics.co/Linear-Regression. ### Logistic Regression (Generalized Linear Models, GLM) -

It's only called a Neural Network if it comes from the Neuralè region of France. Otherwise you have to call it a logistic regression.

— Vicki Boykis (@vboykis) December 24, 2018
+

It's only called a Neural Network if it comes from the Neuralè region of France. Otherwise you have to call it a logistic regression.

— Vicki Boykis (/@/vboykis) December 24, 2018
diff --git a/59_quantitative_methods.Rmd b/59_quantitative_methods.Rmd index f2f6fbf..67e9419 100644 --- a/59_quantitative_methods.Rmd +++ b/59_quantitative_methods.Rmd @@ -1,12 +1,6 @@ # Specific techniques {#quantitativemethods2} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` + ## Ecological inference @@ -250,7 +244,7 @@ https://www.jstatsoft.org/article/view/v074i07 ## Principal Component Analysis (PCA) -

New Video!
PCA (Principal Component Analysis), enjoy and share if you like it!https://t.co/9jvOIE4xAh

— Luis G. Serrano (@luis_likes_math) February 10, 2019
+

New Video!
PCA (Principal Component Analysis), enjoy and share if you like it!https://t.co/9jvOIE4xAh

— Luis G. Serrano (/@/luis_likes_math) February 10, 2019
diff --git a/60_text_analysis.rmd b/60_text_analysis.rmd index f2ebd02..23d52a4 100644 --- a/60_text_analysis.rmd +++ b/60_text_analysis.rmd @@ -3,13 +3,7 @@ # Text Analysis & Text Mining {#textanalysis} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` + ## Introduction diff --git a/70_spatial_data.Rmd b/70_spatial_data.Rmd index f9b221c..13b8d7c 100644 --- a/70_spatial_data.Rmd +++ b/70_spatial_data.Rmd @@ -1,13 +1,6 @@ -# Spatial Data (a.k.a. mapping) +# Spatial Data (including mapping) -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` diff --git a/80_communicating.rmd b/80_communicating.rmd index a3702fe..af975d5 100644 --- a/80_communicating.rmd +++ b/80_communicating.rmd @@ -3,13 +3,7 @@ # Communicating your results {#communicating} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` + ## Introduction @@ -34,7 +28,7 @@ Shawn Graham, Ian Milligan, and Scott Weingart (2015) "Topic Modeling: A Hands-O https://twitter.com/AllieSherier/status/1098988779833040903 -

Does anyone regularly make publishable/exportable tables in R? I have approached this a few times over the last year, but I would really like to learn how to make tables efficiently. #rstats (Picture is a kind of example of tables I am talking about.) pic.twitter.com/48zr1BIf1H

— Allie Sherier (@AllieSherier) February 22, 2019
+

Does anyone regularly make publishable/exportable tables in R? I have approached this a few times over the last year, but I would really like to learn how to make tables efficiently. #rstats (Picture is a kind of example of tables I am talking about.) pic.twitter.com/48zr1BIf1H

— Allie Sherier (/@/AllieSherier) February 22, 2019
diff --git a/81_writing.Rmd b/81_writing.Rmd index 6d23512..7a8ff2d 100644 --- a/81_writing.Rmd +++ b/81_writing.Rmd @@ -4,7 +4,8 @@ Communication of your research requires a thoughtful approach. How are you going to tell your story? ---- + + ### Books Neil Gaiman, _The View from the Cheap Seats_, 2016 @@ -13,7 +14,8 @@ Stephen King, _On Writing_, 2000 * King's [Top 20 Rules for Writers](http://www.openculture.com/2014/03/stephen-kings-top-20-rules-for-writers.html), in summary form ---- + + ### Articles Rob Dimeo, sketch of ["The Infectiousness of Pompous Language"](https://www.flickr.com/photos/dimeophotos/20775615464) @@ -21,7 +23,8 @@ Rob Dimeo, sketch of ["The Infectiousness of Pompous Language"](https://www.flic ["How to construct a _Nature_ summary paragraph"](http://s3-service-broker-live-19ea8b98-4d41-4cb4-be4c-d68f4963b7dd.s3.amazonaws.com/uploads/ckeditor/attachments/7808/2c_Summary_para.pdf) (advice on how to write an abstract) ---- + + ### Podcasts **[Longform](https://longform.org/podcast)** @@ -31,3 +34,6 @@ Of particular note from a "writing about numbers" perspective are * [Nate Silver, Episode #188](https://longform.org/posts/longform-podcast-188-nate-silver) * [Ta-Nehisi Coates, Episode #97](https://longform.org/posts/longform-podcast-97-ta-nehisi-coates), (2014) discussing his article in _The Atlantic_, ["The Case for Reparations'](http://www.theatlantic.com/magazine/archive/2014/06/the-case-for-reparations/361631/) + + +-30- \ No newline at end of file diff --git a/82_writing_about_numbers.Rmd b/82_writing_about_numbers.Rmd index ebc498f..24a3201 100644 --- a/82_writing_about_numbers.Rmd +++ b/82_writing_about_numbers.Rmd @@ -4,7 +4,7 @@ While the fundamentals of writing about numbers are the same as any expository writing, there are enough nuances and specialized elements that it warrants special attention for data scientists. ---- + ### Theory and methods Jane E. Miller (2004) [_The Chicago Guide to Writing About Numbers: The Effective Presenataion of Quantitative Information_], University of Chicago Press. @@ -13,8 +13,10 @@ Jane E. Miller (2007) [_The Chicago Guide to Writing about Multivariate Analysis -*** -#### Technical elements +### Technical elements Karim M. Abadir and Jan R. Magnus (2002) ["Notation in econometrics: a proposal for a standard"](http://www.principlesofeconometrics.com/poe4/writing/abadir_magnus.pdf), _Econometrics Journal_, vol. 5, pp.76-90. + + +-30- \ No newline at end of file diff --git a/85_RMarkdown.Rmd b/85_RMarkdown.Rmd index f3a9c6c..b9e5e19 100644 --- a/85_RMarkdown.Rmd +++ b/85_RMarkdown.Rmd @@ -1,14 +1,6 @@ # RMarkdown {RMarkdown} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - ## Introduction diff --git a/86_presentations.Rmd b/86_presentations.Rmd index e7ab080..fd03cf5 100644 --- a/86_presentations.Rmd +++ b/86_presentations.Rmd @@ -1,14 +1,6 @@ # Presentations {#presentations} -```{r echo = FALSE} -library(knitr) -opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE) -options(width = 100, dplyr.width = 100) -library(ggplot2) -theme_set(theme_light()) -``` - ## Introduction @@ -60,7 +52,7 @@ Jessica Calarco, July 31, 2018-07-31, [Conference Talks](http://www.jessicacalar **general tips and pointers** -

Some of my tips for new JSM speakers:

🔘 Avoid complete sentences on slides. They are only cues. You are a speaker, not a reader.

🔘 Try not to spend too much time on background. Your focus should be YOUR work, not others’

🔘 Spend the most time describing plots #JSM2018

— Dr. Sam Tyner (@sctyner) August 1, 2018
+

Some of my tips for new JSM speakers:

🔘 Avoid complete sentences on slides. They are only cues. You are a speaker, not a reader.

🔘 Try not to spend too much time on background. Your focus should be YOUR work, not others’

🔘 Spend the most time describing plots #JSM2018

— Dr. Sam Tyner (/@/sctyner) August 1, 2018
@@ -100,7 +92,7 @@ Steven V. Miller, 2018-02-03, [Make Your Presentations Fun in Xaringan](http://s **xaringan tips and tricks** -

I'm not a ninja, but sharing my favorite #xaringan tricks we talked about in the Advanced R Markdown workshop at #rstudioconf. Slides are here: https://t.co/z4FZ1cgRuJ

First up: name your slides! Makes it easier to link out and cross reference within deck https://t.co/zVswMzkivf pic.twitter.com/HrOF4t5juG

— Alison Hill (@apreshill) January 16, 2019
+

I'm not a ninja, but sharing my favorite #xaringan tricks we talked about in the Advanced R Markdown workshop at #rstudioconf. Slides are here: https://t.co/z4FZ1cgRuJ

First up: name your slides! Makes it easier to link out and cross reference within deck https://t.co/zVswMzkivf pic.twitter.com/HrOF4t5juG

— Alison Hill (/@/apreshill) January 16, 2019
[Advanced R Markdown training](http://arm.rbind.io/) - from RStudio conference, 2019-01-15/16 @@ -108,7 +100,7 @@ Steven V. Miller, 2018-02-03, [Make Your Presentations Fun in Xaringan](http://s **CSS tips and tricks** -

This is one of the best explanations I've seen of the CSS background-size properties contain vs cover: https://t.co/D5dzSmvbs0

If you are an #rstats #xaringan user (remark.js), this is *very* helpful for understanding when to use which size property with a background image! pic.twitter.com/SLI2jMEPf7

— Alison Hill (@apreshill) December 19, 2018
+

This is one of the best explanations I've seen of the CSS background-size properties contain vs cover: https://t.co/D5dzSmvbs0

If you are an #rstats #xaringan user (remark.js), this is *very* helpful for understanding when to use which size property with a background image! pic.twitter.com/SLI2jMEPf7

— Alison Hill (/@/apreshill) December 19, 2018
diff --git a/book.bib b/book.bib index 79b61a8..c1c2f35 100644 --- a/book.bib +++ b/book.bib @@ -1,3 +1,10 @@ +@Book{Albert_2009, + title = {Bayesian Computation with R (Second Edition)}, + author = {Jim Albert}, + publisher = {Springer}, + year = {2009}, + isbn = {ISBN 978-0-387-92297-3}, +} @Book{Cairo_2013, title = {The Functional Art: An Introduction to Information Graphics and Visualization}, author = {Alberto Cairo}, @@ -31,7 +38,7 @@ @Book{Cleveland_1994 } -@Book{@Davenport_Harris_2007, +@Book{Davenport_Harris_2007, title = {Competing on Analytics: The New Science of Winning}, author = {Thomas H. Davenport and Jeanne G. Harris}, @@ -66,6 +73,19 @@ @article{tm url = {http://www.jstatsoft.org/v25/i05/} } + + +@Book{Gelman_etal_2014, + title = {Bayesian Data Analysis (Third Edition)}, + author = {Andrew Gelman, John B. Carlin, + Hal S. Stern, David B. Dunson, + Aki Vehtari, and Donald B. Rubin}, + publisher = {CRC Press}, + year = {2014}, + isbn = {ISBN 978-1-4398-4095-5}, +} + + @Book{Healy_2019, title = {Data Visualization: A Practical Introduction}, author = {Kieran Healy}, @@ -95,6 +115,15 @@ @Book{Kirk_2016 +@Book{McElreath_2016, + title = {Statistical Rethinking: A Bayesian Course with Examples in R and Stan}, + author = {Richard McElreath}, + publisher = {CRC Press}, + year = {2016}, + isbn = {ISBN 978-1-4822-5344-3}, +} + + @Book{NussbaumerKnaflic_2015, title = {Storytelling with data: a data visualization guide for business professionals}, author = {Cole Nussbaumer Knaflic}, @@ -223,11 +252,11 @@ @Book{Wickham_Grolemund2016 } -@Book{[@Xie_etal_blogdown_2019], - title = {Creating More Effective Graphs}, +@Book{Xie_etal_blogdown_2019, author = {Yihui Xie, Amber Thomas, and Alison Presmanes Hill}, + title = {Creating More Effective Graphs}, publisher = {CRC Press / Chapman & Hall}, year = {2019}, url = {https://bookdown.org/yihui/blogdown/},