Not So Standard Deviations: Recent Episodes

Roger Peng and Hilary Parker

Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.

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190 - Indefinite Leave

After a very brief summary of the changing data science landscape, Hilary and Roger do not actually end the podcast but discuss taking an indefinite leave, leaving the door slightly ajar for future opportunities.

Show notes:

Roger Peng

Hilary Parker

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Hilary and Roger discuss Hilary’s Use R! keynote presentation, LLMs and R, and whether R (or any programming language) has a future. Also, a brief preview of Roger’s JSM 2024 talk.

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Hilary Parker

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Hilary and Roger talk about the commonplace usage of statistics terminology, Apple’s recent AI announcements, and Microsoft’s Recall feature.

Show Notes:

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Hilary Parker

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Hilary and Roger discuss limitations of AI image generation and the possibility of replacing both podcast hosts with robots.

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Hilary Parker

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Hilary and Roger discuss the latest AI news, open source Llama, and the prospect of humanoid robots.

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Hilary Parker

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Roger and Hilary talk about a consulting engagement gone wrong and whether there have been any good consulting engagements.

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Hilary Parker

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Hilary and Roger talk about whether it might be better if ChatGPT didn’t give you what you wanted.

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Hilary and Roger discuss what makes a data analytic tool informative for a given problem and Hilary, predictably, gets furious.

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Hilary and Roger ring in the new year with some discussion of AI and data science, Roger’s upcoming spring semester data science course, and some predictions for 2024.

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Roger on Twitter/X

Roger on BlueSky

Hilary on Twitter/X

Hilary on BlueSky

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Hilary and Roger discuss Hilary’s new ChatGPT consulting business and tease the future of data analysis with AI.

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Roger on Twitter/X

Roger on BlueSky

Hilary on Twitter/X

Hilary on BlueSky

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Hilary and Roger discuss how to improve ChatGPT interactions and important lessons learned from Terminator 2.

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Hilary and Roger are discussing Python in Excel, speed cubing data, and a grand strategy for AI weapons.

Show Notes:

Python in Excel

World Cube Association

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Hilary and Roger discuss data vs. oil, large language models, automated vehicles, and Hilary contributes to Roger’s research. 

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Hilary and Roger return to see if anything has changed in the world since they took their break. Topics include the changing world of social media and the “data as oil” metaphor.

Show Notes:

Catching up with the weird world of LLMs

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Hilary and Roger make a special announcement and discuss large language models, prompt engineering, and the frustration of teaching R these days.

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Hilary and Roger discuss Posit ads and continue the discussion of ChatGPT and AI (including AI movies!)

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Hilary and Roger debate the impacts and time horizon of ChatGPT and its competitors.

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Hilary and Roger reflect on the collapse of Silicon Valley Bank, discuss what the goal of data version control is, and critique Roger’s idea for a way to learn from other people’s data analyses.

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Hilary and Roger winge about Twitter, correct the record about dbt, and consider more counterfactuals.

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Hilary recovers from COVID while Roger throws various difficult discussion topics at her. They talk about Charlie Javice, Data Day Texas, Posit / Palantir, and classified documents.

Show Notes:

JP Morgan Chase lawsuit against Frank

Palantir news release

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Hilary spills a smoothie and coffee and Roger starts teaching again.

Show Notes:

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Hilary and Roger close out the year discussing brain biomarkers, ChatGPT and AI art, and Roger’s failed experiment with a rocket company.

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Hilary and Roger design a coffee experiment, sell some mugs, and discuss Roger’s college transcript.

Show Notes:

Not So Standard Mugs

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Hilary and Roger follow up on DALL-E and discuss the main topic of the day – Twitter and whether there are any viable alternatives.

Show Notes:

Roger as Cowboy

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Hilary and Roger discuss Roger’s latest coffee conundrum, remaking the 2007 Apple store, and using DALL-E for ad campaigns. And Roger is hiring a postdoc!

Show Notes:

Roger’s Postdoc Ad: https://rdpeng.org/postdoc.html

Bootcut Jeans Anthropologie

Bootcut Jeans Uniqlo

Bootcut Jeans Etsy

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Hilary and Roger celebrate their podcast-iversary by discussing The Dropout, Hilary’s startup experience, and developing a totally straightforward system for living in two different locations.

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Hilary and Roger are back after a short break to discuss Roger’s new job, the meaning of data science, and limited liability algorithms.

Show Notes:

UT Austin Statistics and Data Sciences

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Hilary and Roger reflect on rstudio::conf(2022) and follow up on assumptions vs. constraints for statistical methods.

Show Notes:

Introduction to Modern Statistics

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Hilary and Roger discuss the upcoming RStudio Conference and figure out what talks Roger should go to.

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Hilary and Roger follow up on TikTok, Twitter, and then discuss why statisticians are so bad at training people in data analysis.

Show Notes:

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Hilary is fresh from raising capital and Roger thinks they should start a TikTok account.

Show Notes:

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Hilary and Roger discuss deprecated packages, the tidyverse ecosystem, the end of fashion, creators and platforms, and whether certain people understand data science.

Show Notes:

Paper that Roger Meant to Write but Didn’t

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Hilary and Roger discuss testing apps on iPods, updating R packages and getting the “email” from CRAN, and going back to conferences.

Show Notes:

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Hilary and Roger discuss Docker for analytic pipelines, deep learning, the right/wrong way to get feedback, and the future of Twitter.

Show Notes:

Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation

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Hilary and Roger talk about Hilary’s new job as Chief Technology Officer of Indyx. 

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Hilary is back from special assignment in the Yukon. She and Roger talk about prediction modeling (and how Hilary hates it), self-driving cars, and chatting (or not) with virtual agents.

Show Notes

Tensorflow MacOS

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Roger welcomes back Lucy D’Agostino McGowan to the show to discuss building prediction models and how they may or may not relate to causal inference.

Show Notes:

Lucy D’Agostino McGowan

Hundreds of AI tools have been built to catch covid. None of them helped.

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Hilary and Roger discuss whether they understand their models, changing programming languages, using RStudio for everything, and deep learning.  

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Hilary and Roger continue to track Roger’s deep learning journey.

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Hilary and Roger discuss Twitter Spaces, career advice, and deep learning. Show Notes:

Deep Learning Book

Robert Nowak’s IMS Medallion Lecture

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Hilary and Roger discuss Sir David Cox, esport competitions, and hand out more bad career advice.  

Show Notes:

Sir David Cox

The Cox Model

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Hilary and Roger discuss Theranos (for the last time??), Excel as e-sport, and Hilary gives some more bad career advice.

Show Notes:

Financial Modeling World Cup Finals

The Missing Analytics Executive

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Roger and Hilary discuss the meaning of the Christmas spirit.

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Hilary and Roger have a winding discussion about rubrics and check lists. And Hilary observed a functional data science team in the wild.

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Hilary and Roger follow up on Zillow, talk about negotiation in data science, and discuss the title of data scientist.

Show Notes:

WSJ Article on Zillow

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Hilary and Roger discuss data analysis and communication, analysis correctness, Zillow Offers, and another installment of Hilary’s Bad Career Advice.

Show Notes:

Hilary Parker on Casual Inference Podcast

Episode 35 with Sean Taylor

What Data Folk Were Saying About Zillow

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Hilary and Roger inaugurate a new segment: Hilary’s Bad Advice. Also they discuss spacecraft trajectories calculated with Excel, Theranos, filesystems, and San Francisco data analysis politics.

Show Notes:

Trajectory Design of the Lucy Mission

Theranos Ask a Manager

File Not Found

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Hilary and Roger discuss scientific discovery vs. building and designing analyses, Hilary giving bad advice, and Hilary’s new career!

Show Notes:

Analytics Power Hour

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Hilary and Roger keep track of the Elizabeth Holmes trial, follow up on useful models and formal analysis, and discuss data analysis requirements and experimental design.

Show Notes:

Latin square

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Hilary and Roger discuss whether models should be correct or useful.

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Hilary and Roger discuss the upcoming Elizabeth Holmes trial, hot tea, distraction free computing, and designing a study for detecting data booboos. Also, Roger has a new Patreon benefit!

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Hilary and Roger discuss Internet woes, mugs, data editors, and user testing chocolate.

Show Notes:

Cacao ceremony

Esalen

The Good Chocolate

Certified Software by Zhong Shao

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Hilary and Roger compare mugs and then follow up on how to incentivize data quality assurance.

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Hilary and Roger follow up on GitHub Copilot, discuss SAS (briefly!), and talk about ways in which people determine that data are “right”.

Show Notes:

Hilary’s thread on data checking

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Hilary and Roger talk about tidymodels one more time with listener feedback, discuss the central question of data science, alternate ways to characterize uncertainty, and GitHub Copilot.

Show Notes:

Hill’s Criteria for Data Scientists - https://livefreeordichotomize.com/2016/12/15/hill-for-the-data-scientist-an-xkcd-story/

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Hilary and Roger follow up on the discussion about tidymodels and machine learning, and discuss the way evidence is interpreted in the intelligence community.

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Hilary and Roger welcome Julia Silge to the show to talk about tidymodels, modeling, and other important topics.

Show Notes:

Julia Silge

You Look Like a Thing and I Love You

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Hilary and Roger are back with things to talk about, including some follow up on design thinking, how Family Feud is related to data analysis, and the role of trust in data analysis.

Show Notes:

Trustworthy Data Analysis (Simply Statistics)

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Hilary and Roger discuss some NSSD-centric but ancillary topics for this episode. 

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Hilary and Roger go through the mail bag and answer some listener questions about tidymodels, advice for beginners, and negative and positive controls in data analysis.

Show Notes:

Finding a lost hiker

workflowsets package

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Hilary and Roger discuss whether Hilary is becoming the thing she criticizes and how large p-values should really be.

Show Notes:

Hilary Asks The Internet

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Hilary and Roger talk about the boat, coffee status, and the purpose of prediction modeling frameworks.

Show Notes:

Tidymodels.org

James Hoffman Ultimate French Press Technique

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Hilary and Roger have important pony follow up. They also discuss satellite data, blowing your API quota, and building R packages for data analysis.

Show Notes:

NSSD Fellows

Planet Labs

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Hilary travels back home to take care of some old business. And Roger laughs at her but doesn’t criticize her.

Show Notes:

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Hilary and Roger discuss using APIs in R, doing short-term contract data/software work, validating paranoia, and lessons learned from data analysis.

Show Notes:

Y2K

Benford’s Law

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Hilary and Roger put the nail in the coffin on cars and acceleration, consider possible NSSD Fellow nominations, discuss teaching data analysis, and other topics.

Show Notes

Hilary’s Poll

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Hilary and Roger discuss what happened just after Episode 123, follow up on cars and autopilot, and talk about teaching data analysis without data.

Show Notes

Gyroscopic autopilot

UNISYS and LZW patent

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Hilary and Roger welcome the new year and discuss one hot encoding, autopilot as artificial intelligence, and how a car gas pedal works.

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Hilary and Roger close out 2020 with a discussion of AI products, the difference between AI and machine learning, reflections on 2020, and milk frothing. Happy New Year everyone!

Show Notes:

How Bad is Your Spotify?

What is AI?

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Hilary and Roger discuss the latest COVID gripes, the possibility of a global statistical event, which NSSD episode was their favorite, and whether human interaction is the only source of problems in data analysis.

Show Notes:

Support us through our Patreon page

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Hilary and Roger discuss a systematic framework for debugging.

Show Notes:

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Hilary and Roger discuss Hilary’s election night experience working as a data science project manager on the Biden campaign. Also, Cats follow up.

Show Notes:

Allison Horst data science illustrations

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Roger welcomes Lucy D’Agostino McGowan to the podcast to discuss the challenges of scientific communication, what computer to get, and the next big thing in tech. Plus, we introduce a new segment: How the heck did this happen?

Show Notes:

Lucy D’Agostino McGowan

Failure Modes and Effects Analysis with COVID-19

Why is Cats? by Lindsay Ellis

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Hilary and Roger dig into the mail bag, then discuss how Excel is always causing problems and the concept of failure modes in data analysis.

Show Notes:

Excel: Why using Microsoft's tool caused Covid-19 results to be lost

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Hilary and Roger weave a coffee thread through their discussion of .Rprofile files, Roger’s reproducibility woes, and Palantir.

Show Notes:

The 9barista

Palantir should be investigated

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Hilary and Roger celebrate the five year anniversary of the podcast and discuss pandemic work, the changing podcast landscape, Palantir followup, TikTok’s algorithm, and Roger’s .Rprofile.

Show Notes:

Support us through our Patreon page

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Hilary and Roger discuss TikTok, even though they’ve never used it, and Palantir, even though they’ve never used it.

Show Notes:

China bans AI exports

Palantir S-1

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Hilary and Roger discuss The Last Dance, the future of the data science industry, and living in an era of constant crisis. Oh, and Hilary has a new job!

Show notes:

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Hilary and Roger discuss Roger’s freshly-delivered talk for the Joint Statistical Meetings, social media and how ideas from intelligence analysis apply to data analysis.

Show notes:

The Gift of Nothing by Patrick McDonnell

Intelligence Matters Podcast

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Hilary and Roger discuss working from home (mobile edition), correlation vs. causation, Roger’s coffee woes, and data analytic “style”.

Show notes:

9barista coffee maker

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Hilary and Roger discuss using data to prove someone wrong and then embark on another book club discussing Scott Berkun’s How Design Makes the World. And Hilary has an important coffee update!

Show Notes:

How Design Makes the World by Scott Berkun

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Hilary and Roger discuss “microservices”, importing the tidyverse into a package, business acronyms, math as a sketching tool, and renaming the Fisher Lecture.

Show notes:

Art of Doing Science and Engineering (Stripe Press)

Microservices

How Design Makes the World

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Hilary and Roger discuss such non-pandemic topics as: the stunning conclusion to the Moka Pot Saga, Hilary’s new book she’s reading on design thinking, building software without dependencies, and Lady Dynamite.

Show notes:

How Design Makes the World

Lady Dynamite

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Roger on Twitter: https://twitter.com/rdpeng

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Hilary and Roger revisit COBOL, discuss the tradeoff of stability vs. flexibility, complain about discussing statistics over email, tech addiction, and R version 4.0.

Show notes:

R 4.0 from the Revolutions Blog

stringsAsFactors

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Hilary and Roger give an update on the home coffee situation and discuss COBOL programming as a metaphor for reproducible research.

Show notes:

Iron sharpens iron

Security is a process, not a product (by Bruce Schneier)

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Hilary and Roger discuss Andrew Cuomo’s appreciation of statisticians, whether to look or not look at COVID19 data, and developing Shiny apps.

Show notes:

Cuomo on statisticians

NYT COVID19 data on GitHub

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Hilary and Roger give some updates on what’s going on and how life at home is working out.

Show notes:

Hilary’s pen

Hilary’s acoustic panels

Hilary’s moss

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Roger on Twitter: https://twitter.com/rdpeng

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Hilary and Roger provide a respite from recent events by discussing forecasting the U.S. primary elections, Roger’s time series analysis course, R package woes, artificial intelligence, and the Hilary Parker job requirement.

Show notes:

Hilary’s Opinionated Analysis Development paper

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Roger on Twitter: https://twitter.com/rdpeng

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Hilary and Roger follow up on their discussion with JJ Allaire about open source software. They also discuss getting a PhD, ad hoc data analysis with or without functions, and Moka pots.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger welcome JJ Allaire, CEO and founder of RStudio, PBC, to the podcast and have a wide-ranging discussion about developing open source software, successful open source business models, the R language, and data science.

Show notes:

Support us through our Patreon page

JJ Allaire on Twitter: https://twitter.com/fly_upside_down

Roger on Twitter: https://twitter.com/rdpeng

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Episode 100 was recorded in front of a live audience at RStudio::conf 2020. In this episode Hilary and Roger discuss how ideas evolve over time and use examples from this podcast to illustrate their views on data analysis and design thinking.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

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Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger follow up on their discussion of open source software. They also discuss writing functions for data analysis, learning a second programming language, and Hilary’s guide to San Francisco.

Show notes:

RStudio Conference 2020

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Roger on Twitter: https://twitter.com/rdpeng

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Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger discuss recent results of Moka pot coffee.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

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Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger follow up on the future of R, then talk about reproducibility versus systems, the proliferation of text-based formats and implications for statistical modeling, and why open source developers have so little power.

Show notes:

RStudio Conference 2020

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Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Where will R be in 10 years and what might replace it?

Show notes:

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Roger on Twitter: https://twitter.com/rdpeng

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Summarize or summarise?

Show notes:

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Hilary and Roger ask, why doesn't Hilary just get an espresso machine?

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger discuss Moka pots, follow up on the creative curve, name their data frames, discuss prediction vs. forecasting, and data science in military and intelligence applications.

Show notes:

Sean Taylor’s Poll

National Cryptologic Museum

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Roger on Twitter: https://twitter.com/rdpeng

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Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger record in person for the third time ever to discuss the changing nature of data science and its role in various industries, the use of QA in data science product development, and lots of other stuff.

Show notes:

Discussion of Hilary’s outfit generator product development

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Roger on Twitter: https://twitter.com/rdpeng

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Hilary and Roger discuss the book The Creative Curve by Allen Gannett and how the ideas relate to data science and data analysis.

Show notes:

The Creative Curve: How to Develop the Right Idea at the Right Time

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Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Podcast art by Jessica Crowell

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Hilary and Roger follow up on R as a first programming language (thanks Sean Kross!) and open source licensing and then discuss algorithmic bias in medicine and housing.

Also, NEW BOOK CLUB!

Show notes:

The Creative Curve: How to Develop the Right Idea at the Right Time

R as a first programming language

Dissecting racial bias in an algorithm used to manage the health of populations

A New HUD Rule Would Effectively Encourage Discrimination by Algorithm

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger have a wide-ranging discussion about coffee, Hilary’s essay on imposter syndrome, open source software business models, and R as a first programming language.

Show notes:

Episode 35 with Sean Taylor

Hilary's essay on imposter syndrome

In 2019, multiple open source companies changed course—is it the right move?

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Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss the RStudio Conference, Directions in Statistical Computing, the benefits of having a diversity of programming languages, and canola oil.

Show notes:

RStudio Conference 2020

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Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

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Hilary and Roger go behind the scenes of a new tool for building outfits that she helped build at Stitch Fix. Also, follow up on writing functions for data analysis and Hilary review's her milk frother.

Show notes:

Miles McBain thread

WIRED article on new Stitch Fix algorithm

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

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Hilary and Roger are back from their brief summer hiatus to discuss data analysis project organization, version control systems, foot pedals, conferences, and Roger's live-streaming.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Roger welcomes special guest Jenna Krall to discuss cricket, data analysis project organization, and the difficulties in creating a dataset.

Show Notes:

Support us through our Patreon page

Jenna Krall: https://chhs.gmu.edu/profile/view/251051

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Roger and Hilary follow up on leaf umbrellas and take some time to discuss what's happening with R, the Tidyverse, and RStudio and how it's related to what's happening more broadly in the world of the Internet.

Show notes:

Support us through our Patreon page

Leaf umbrella

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger talk about Cricket math(s), livestreaming data analysis, Hilary's Style Challenge Friday, and an auto-rejecting paper bot.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger talk about what people are really saying when they complain about data cleaning and follow up about the role of negotiation in data science. Also, some important discussion about closets and backpacks.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss the book Getting to Yes and how it applies to data analysis. Also, more sports, breaking changes to R, and sampling.

Show notes:

Support us through our Patreon page

Sprawlball

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger announce a NEW BOOK CLUB, discuss the rise of causal inference, the new version of RStudio, and different ways to model the data analysis process.

Show notes:

Getting to Yes

The Hidden Air Pollution in Our Homes

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Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss the Women in Analytics Conference, GDPR, and Soji for Data. Also a new #hilaryshabits!

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger provide updates about coffee and oat milk, talk about the unbundling of the data scientist job, R style guides, quantifying the performance of music services, and KPI design. And the return of #hilaryshabits!

Show notes:

Google R Style Guide

Henrik Bengtsson's style guide

Tidyverse style guide

Radical Change is Coming to Data Science Jobs

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss the significance of statistical significance, the elements and principles of data analysis, and how to enforce ethical data science practice.

Show notes:

Scientists rise up against statistical significance

Elements and Principles of Data Analysis

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Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss the other jobs of the data scientist, using notebooks, Getting Things Done (on paper), keeping packages on CRAN, and the Women in Data Science Conference.

Show notes:

Women in Data Science Conference

Hilary's New Yorker-style cartoon

R 1.0.0 CD at University of Auckland

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger talk about maintaining old R packages, how Hilary manages her time, and the general state of open source software.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss Roger's foray into cloud computing and how they determine whether they can trust an algorithm or R package. Also, a bonus discussion of the state of data science as a field.

Show notes:

Maelle Salmon's blog post

Box and Whiskers

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Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss this year's RStudio Conference and the perils of collecting data without first thinking about it. Also, the return of free advertising.

Show notes:

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Happy 2019 to all of our listeners! Hilary and Roger follow up on the data science design challenge, talk about the future package for R, and do another #hilaryshabits.

Show notes:

Roger’s protocol study: simplystatistics.org/2019/01/09/how-data-scientists-think-a-mini-case-study/

Support us through our Patreon page

Roger on Twitter

Hilary on Twitter

Get the Not So Standard Deviations book: leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

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Hilary and Roger discuss their first data science design challenge on getting to work on time, and Roger talks his own about biased training data. 

Show notes: 

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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In their penultimate episode for 2018, Hilary and Roger discuss the distinction between what data analysis is and what data analysts do, Hilary's morning routine, and Chapter 8 (the final chapter!) of Nigel Cross's book Design Thinking.

Show notes:

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

Dieter Rams's 10 Principles for Good Design

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss the DC R Conference, QCon, Netflix, and Chapter 7 of Design Thinking by Nigel Cross.

Show notes:

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

If Your Innovation Effort Isn’t Working, Look at Who’s on the Team

At Netflix, Who Wins When It’s Hollywood vs. the Algorithm? ($)

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss Hilary's .Rprofile file, jury duty, R certification, and Chapter 6 of Nigel Cross's book Design Thinking.

Show notes:

DC R Conference Discount Code

Design Discipline vs. Design Science by Nigel Cross

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss dogs in McLaren F1s, ☕️, five books on data science, 🥧 charts, and chapter 5 of Nigel Cross's book Design Thinking.

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

Roger's Five Books

Roger's data analysis screencast

Support us through our Patreon page

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

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Hilary and Roger discuss chapter 4 of Nigel Cross's book, Design Thinking. Also, a new Hilary's Habits and important coffee follow up.

Show notes:

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger launch a new segment--Hilary's Habits--and they discuss their 3 year anniversary for the show. Also, they continue their discussion of Nigel Cross's Design Thinking book, covering Chapter 3.

Show notes:

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

Design Thinking Is Fundamentally Conservative and Preserves the Status Quo

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss Chapter 2 of Design Thinking by Nigel Cross. Also follow up on adductive reasoning and Hilary considers the McLaren F1.

Show notes:

Modes of reasoning

Nathan Yau's FlowingData

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

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Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger discuss chapter 1 of Design Thinking by Nigel Cross.

Show notes:

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger are back from hiatus to discuss the NSSD book club, Roger's coffee retraction, minimizing R package dependencies, and keynote addresses at ICOTS and Use R! It's good to be back!

Show notes:

Design Thinking by Nigel Cross

  • Amazon
  • iBooks

Hilary's ICOTS keynote slides

Roger's Use R! keynote

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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In Roger's last episode from Melbourne, Hilary and Roger discuss Theranos, trust in data analysis, Netflix, ALTREP, what computer to buy, and how to get into data science.

Show notes:

Elizabeth Holmes faces criminal charges: https://www.justice.gov/usao-ndca/pr/theranos-founder-and-former-chief-operating-officer-charged-alleged-wire-fraud-schemes

xplain package: https://twitter.com/jsugarelli/status/992121083254984705?s=12

Tyler Schnoeblen's piece on trust and reliance: https://medium.com/@integrate.ai/real-talk-about-trust-and-then-some-unreal-talk-too-c5adfe56ce1e

Inside the Binge Factory: http://www.vulture.com/2018/06/how-netflix-swallowed-tv-industry.html

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Roger on Twitter: https://twitter.com/rdpeng

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Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss past research on social networks, more Facebook, corner cases in success in data analysis, and John Carreyrou's book Bad Blood.

Show notes:

Roger's original post on data analysis success

John Carreyrou's Bad Blood

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger follow up on Uber's self-driving car accident, sensitivity and specificity, Ronald Fisher's final destination, and Wes McKinney's announcement of Ursa Labs. Also, this episode debuts a new segment: Hilary at Work!

Show notes:

Cambridge Analytica shutting down: https://www.gizmodo.com.au/2018/05/cambridge-analytica-is-shutting-down/

Sensitivity and specificity for automated cars: Uber report - https://www.theverge.com/2018/5/7/17327682/uber-self-driving-car-decision-kill-swerve

Sensitivity and specificity revisited - “Amazon, laugh”: https://www.geekwire.com/2018/mystery-solved-amazon-explains-cracked-alexa-ais-laugh-response-will-change/

International chart day: https://twitter.com/repmarktakano/status/989588551443664896?s=21

NSSD Episode 7 "Statistical Royalty" where Hilary meets Gosset's great-great-grandson: http://nssdeviations.com/episode-7-statistical-royalty

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

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Hilary and Roger discuss design and data analysis, the recent Women in Analytics Conference at Facebook, presentation formats, and the value of PhD training.

Show notes:

Hilary's presentation slides

Roger's blog post on Simply Statistics

Stacked pie charts

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger revisit GANs and discuss what makes for a good data analysis.

Show notes:

NYT Article on software problem: http://www.nytimes.com/2002/06/05/us/data-revised-on-soot-in-air-and-deaths.html

Callisto: https://www.projectcallisto.org/what-we-do

Universal Paperclips: http://www.decisionproblem.com/paperclips/

Workshop Cafe: http://www.workshopcafe.com/

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss when to hire a data scientist, the Kaggle State of Data Science and Machine Learning Survey, and the lack of tools for tracking changes to data.

Show notes:

Stickers at Sonos: https://twitter.com/jahilliar/status/926153450857082880

John Carmack on git: https://twitter.com/id_aa_carmack/status/929389759624916992

Linear Digressions episode on “Data Lineage”: http://lineardigressions.com/episodes/2017/9/3/data-lineage

Kaggle State of Data Science Survey: https://www.kaggle.com/surveys/2017

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

Find past episodes: http://nssdeviations.com

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Roger went to the rOpenSci Oz Unconference and Hilary led a design sprint.

Show notes:

rOpenSci OzUnconf 2017: http://ozunconf17.ropensci.org

Summary of OzUnconf by Nick Tierney: https://ropensci.org/blog/2017/10/31/ozunconf2017/

How do you convince people to use R? https://simplystatistics.org/2017/10/30/how-do-you-convince-others-to-use-r/

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger discuss listener names, facial recognition, coding boot camps, wildfires in California, edge computing, and AR measuring apps. Plus, more on stickers!

Show notes:

Biometric Menagerie: https://www.ncbi.nlm.nih.gov/pubmed/20075454

Coding boot camps closing down: https://mobile.nytimes.com/2017/08/24/technology/coding-boot-camps-close.html?_r=0&referer=https://t.co/oGIlQwOjrH?amp=1

Sudoku Solver: https://blog.prototypr.io/behind-the-magic-how-we-built-the-arkit-sudoku-solver-e586e5b685b0

Beijing Air Twitter Account: https://twitter.com/beijingair

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger continue their late night contemplations about stickers, collecting new data for training machine learning algorithms, and paying for open (and closed) source software.

Show notes:

Sticker madness: https://twitter.com/hspter/status/908102841323188225

Sticker on phone: https://twitter.com/hspter/status/908279790859378689

Apple trains Face ID with separate study of faces (Tech Crunch): https://techcrunch.com/2017/09/15/interview-apples-craig-federighi-answers-some-burning-questions-about-face-id/

Open source business models: https://twitter.com/zedshaw/status/906286839044210689

LICKI brush https://www.kickstarter.com/projects/1046165765/licki-brush-lick-your-cat

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger have a late-night discussion about JupyterCon, data analysis and decisions, and other deeper topics.

Show Notes:

JupyterCon: https://conferences.oreilly.com/jupyter/jup-ny

Financial stability monitor: https://www.financialresearch.gov/financial-stability-monitor/

Catistician: https://twitter.com/ChelseaParlett/status/902581025175429120

Tyranny of Structurelessness: http://www.jofreeman.com/joreen/tyranny.htm

Data Alone Isn’t Ground Truth (by Angela Bassa): https://medium.com/@angebassa/data-alone-isnt-ground-truth-9e733079dfd4

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger continue the discussion about whether good data analysis can lead to bad outcomes, talk about private cloud servers, and discuss whether data represent ground truth.

Show Notes:

Movies on tape: https://twitter.com/ngedrich/status/888142458944593920

Private cloud server: https://antsle.com/product/

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger talk about building data science products that provide a good user experience while adhering to some kind of ground truth, whether it’s in medicine, education, news, or elsewhere. Also Gilmore Girls.

Show Notes:

HIll’s criteria for causation: https://en.wikipedia.org/wiki/Bradford_Hill_criteria

O’Reilly Bots Podcast: https://www.oreilly.com/topics/oreilly-bots-podcast

NHTSA’s Federal Automated Vehicles Policy: http://www.nhtsa.gov/nhtsa/av/index.html

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

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Hilary and Roger talk about teaching R in the era of the tidyverse, joyplots, follow up on explainable AI, writing versus data analysis, and Google Music playlists. They also take some reader questions and Hilary has an amazing app idea. Lastly, Roger has a special announcement.

Show Notes:

Joyplots: https://twitter.com/i/moments/887307963173658624

Stripe slide deck on explainable AI: https://docs.google.com/presentation/d/1rZHPDqDFEOcEQhqm3lTKD7Cf5XGvj4iB04W8KA4ar5w/mobilepresent?slide=id.g221bed7464_0_0

Roger's tweet storm on teaching R: https://twitter.com/rdpeng/status/882767951614627840

Support us through our Patreon page: https://www.patreon.com/NSSDeviations

Roger on Twitter: https://twitter.com/rdpeng

Hilary on Twitter: https://twitter.com/hspter

Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

Find past episodes: https://soundcloud.com/nssd-podcast

Contact us at nssdeviations@gmail.com

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Hilary and Roger discuss the paradigm-shifting Echo Show, whether we need explainable AI or not, and how lessons from DevOps could be useful in analysis development. Show notes: Peter Norvig on explainable AI: https://www.computerworld.com.au/article/621059/google-research-chief-questions-value-explainable-ai/ Wired article about Google's Site Reliability Engineering: https://www.wired.com/2016/04/google-ensures-services-almost-never-go/?mbid=nl_4616 Support us through our Patreon page: https://www.patreon.com/NSSDeviations Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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This episode heralds the return of CEO Hilary. Also, Hilary and Roger discuss cybersecurity in the cloud, Theranos, residual variation in data analyses, and Airbnb’s Data University. Show notes: P-hacking or not? https://twitter.com/NASAGISS/status/875368384971649025 Theranos equipment sold on startup liquidators: https://twitter.com/startuplqdtr/status/873385484860313600 Trump signs cybersecurity executive order: https://www.geekwire.com/2017/trump-cybersecurity-cloud/ Airbnb is running its own internal university: https://techcrunch.com/2017/05/24/airbnb-is-running-its-own-internal-university-to-teach-data-science/ Support us through our Patreon page: https://www.patreon.com/NSSDeviations Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Hilary and Roger talk about the EARL conference, a data science tri-lemma, data science ethics, and Hilary’s CD collection. Show notes: P-hacking conversation: https://twitter.com/jakevdp/status/868564701239627776 Wrangle Conf: http://wrangleconf.com/ Gabe Becker’s EARL talk: https://twitter.com/groundwalkergmb/status/872918368319266816 Thomas Vaugh Shiny UI: https://twitter.com/hspter/status/872596718876975104 Business Science: http://www.business-science.io/ tidyquant: https://business-science.github.io/tidyquant/ timekit: https://business-science.github.io/timekit/ Karl Broman analysis of data file formats: http://kbroman.org/blog/2017/04/30/sqlite-feather-and-fst/ Support us through our Patreon page: https://www.patreon.com/NSSDeviations Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Roger and Hilary discuss the meaning of “data driven”, the value of Cloud Computing (again), and algorithmic transparency. Show notes: Artificial Intelligence Owes You an Explanation: http://www.slate.com/articles/technology/future_tense/2017/05/why_artificial_intelligences_should_have_to_explain_their_actions.html When artificial intelligence botches your medical diagnosis, who’s to blame? https://qz.com/989137/when-a-robot-ai-doctor-misdiagnoses-you-whos-to-blame/ Weapons of Math Destruction: https://weaponsofmathdestructionbook.com Analyst Mindset - Episode 1: https://youtu.be/pOA2wggeQkQ Teen Vogue: http://www.teenvogue.com Support us through our Patreon page: https://www.patreon.com/NSSDeviations Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Hilary and Roger revisit the desktop vs. cloud discussion, Hilary recaps csvconf, and Roger discusses the aesthetics of data analysis. Show Notes: Verena Haunschmid’s desktop: https://twitter.com/expectapatronum/status/857608745333006337 Roger’s desktop vs. cloud poll: https://twitter.com/rdpeng/status/857964527702376449 Remake package: https://github.com/richfitz/remake Episode 29 interview with Chief Data Officer of the Department of Transportation: https://soundcloud.com/nssd-podcast/episode-29-standards-are-like-toothbrushes Roger's Dean's Lecture on the Past and Future of Data Analysis: https://www.youtube.com/watch?v=qFtJaq4TlqE Angel D’az post on music and data analysis: https://www.linkedin.com/pulse/data-analysts-have-lot-learn-from-musicians-angel-d-az?published=t Designing Your Life: http://designingyour.life/the-book/ Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Hilary and Roger talk about the EPA taking down data (or not?), whether statisticians are paternalistic, and how to evaluate machine learning consumer products. Show Notes: Mosh: the mobile shell - https://mosh.org Statisticians are paternalistic Twitter thread: https://twitter.com/deronaucoin/status/854802719030116352 David Robinson post on story arcs: http://varianceexplained.org/r/tidytext-plots/ fst package by Mark Klik: http://www.fstpackage.org YouTube channel Amy Codes: https://www.youtube.com/channel/UCms28DbROfiYP2kBRpKTyyw Chase the toy poodle: https://www.instagram.com/littlechasebigworld/ Marnie the dog: https://www.instagram.com/marniethedog/ Popeye the Foodie Dog: https://www.instagram.com/popeyethefoodie/ Portland Catmapper: https://www.instagram.com/catmapper/ Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Hilary and Roger discuss Trump using an iPhone and implications for analyzing his tweets, computing setups for data science, and building simple versus complex tool chains to rely on. And the return of free advertising! Show notes: Trump is using an iPhone now: http://www.theverge.com/2017/3/29/15103504/donald-trump-iphone-using-switched-android Snap S-1 Registration Statement: https://www.sec.gov/Archives/edgar/data/1564408/000119312517029199/d270216ds1.htm NSSD Episode 35 with Sean Taylor: https://soundcloud.com/nssd-podcast/episode-35-special-guest-sean-taylor Writing an R Package from Scratch: https://hilaryparker.com/2014/04/29/writing-an-r-package-from-scratch/ Sticky Notes Podcast: https://itunes.apple.com/us/podcast/sticky-notes-the-classical-music-podcast/id1215386938?mt=2 fundManageR: https://github.com/abresler/fundManageR Big Little Lies: http://www.hbo.com/big-little-lies Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Hilary and Roger talk with Sean Taylor of Facebook about his new software package prophet, how to make tools usable and re-usable, and of course, Excel. Show notes: Sean Taylor http://seanjtaylor.com The Statistics Software Signal: http://seanjtaylor.com/post/39573264781/the-statistics-software-signal Automatic statistician https://www.automaticstatistician.com/about/ Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Hilary and Roger discuss Stitch Fix’s massive Algorithms Tour, reproducibility from a physical scientist perspective, and interpretability in machine learning. Show notes F this: http://sgsa.stat.ucla.edu/f-this/ Interpretability is the new reproducibility: http://simplystatistics.org/2017/03/08/when-do-we-need-interpretability/ NSF Workshop on Systematic Approach to Robustness, Reliability, and Reproducibility in Scientific Research: http://www.mrsec.harvard.edu/2017NSFReliability/index.html Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast Contact us at nssdeviations@gmail.com

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Hilary and Roger talk about the interview process for data science and data analyst jobs, opinionated analysis development, and what job interviews were like back in 1999. Show notes: Roger’s podcasting setup: http://simplystatistics.org/2017/02/20/podcasting-setup/ Opinionated Analysis Development: https://www.rstudio.com/resources/videos/opinionated-analysis-development/ Susan Fowler’s Medium post: https://www.susanjfowler.com/blog/2017/2/19/reflecting-on-one-very-strange-year-at-uber 10% Happier: http://www.10percenthappier.com Henrik Bengtsson’s Future package: https://cran.r-project.org/web/packages/future/index.html Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast

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Hilary and Roger discuss training in PhD programs, estimating the variance vs. the standard deviation, the bias variance tradeoff, and explainable machine learning. Show notes: Support us through our Patreon page: https://www.patreon.com/NSSDeviations Explainable AI: http://www.darpa.mil/program/explainable-artificial-intelligence Stitch Fix Blog NBA Rankings: http://multithreaded.stitchfix.com/blog/2016/11/22/nba-rankings/ David Robinson’s Empirical Bayes book: http://varianceexplained.org/r/empirical-bayes-book/ War on the Rocks podcast: https://warontherocks.com/2017/01/introducing-bombshell-the-explosive-first-episode/ Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast

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Hilary and Roger go on a podcast bender and discuss how they record the podcast, missing data methods, rstudio::conf, Uber Movement, diagnosis with prediction models, and Alexa/Siri. Whew! Show notes: Zencastr: https://zencastr.com Ecamm: http://www.ecamm.com Libsyn: https://www.libsyn.com Hilary’s slides on Opinionated Analysis Development: http://www.slideshare.net/hilaryparker/opinionated-analysis-development Tidytext book: http://tidytextmining.com Uber Movement: https://movement.uber.com/cities Data Science Bowl 2017: https://www.kaggle.com/c/data-science-bowl-2017 Pitch Deck Kickstarter: https://www.kickstarter.com/projects/fred/pitch-deck/ Out of the Blocks podcast: http://www.npr.org/podcasts/451202110/out-of-the-blocks-on-w-y-p-r Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast

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Hilary and Roger follow up on open data and data sharing in government. They also discuss artificial intelligence, self-driving cars, and doing your taxes in R. Show notes: Lucy D’Agostino McGowan (@LucyStats) made a great translation of Hill’s criteria using XKCD comics: http://www.lucymcgowan.com/hill-for-data-scientists.html Lucy’s web page: http://www.lucymcgowan.com Preparing for the Future of Artificial Intelligence: https://www.whitehouse.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf Partially Derivative White House Special – with DJ Patil, US Chief Data Scientist: http://12%20Dec%202016%20White%20House%20Special%20with%20DJ%20Patil,%20US%20Chief%20Data%20Scientist Not So Standard Deviations – Standards are Like Toothbrushes – with with Daniel Morgan, Chief Data Officer for the U.S. Department of Transportation and Terah Lyons, Policy Advisor to the Chief Technology Officer of the U.S.: https://soundcloud.com/nssd-podcast/episode-29-standards-are-like-toothbrushes Henry Gitner Philatelists: http://www.hgitner.com Some Pioneers of Modern Statistical Theory: A Personal Reflection by Sir David R. Cox: https://drive.google.com/file/d/0B678uTpUfn80a2RkOUc5LW51cVU/view?usp=sharing

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Roger travels to Washington, DC to talk with Daniel Morgan, Chief Data Officer for the U.S. Department of Transportation and Terah Lyons, Policy Advisor to the Chief Technology Officer of the U.S. The discussion covered open data, the process of making data available, standards for data formats (and their relation to toothbrushes), and of course—automated vehicles. Show Notes: Data about Pavement: https://infopave.fhwa.dot.gov National Highway Traffic Safety Administration (NHTSA) Federal Automated Vehicles Policy: https://one.nhtsa.gov/nhtsa/av/av-policy.html Office of Science and Technology Policy (OSTP): https://www.whitehouse.gov/administration/eop/ostp U.S. Digital Service: https://www.whitehouse.gov/participate/united-states-digital-service

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Hilary and Roger talk about building data science products that provide a good user experience while adhering to some kind of ground truth, whether it’s in medicine, education, news, or elsewhere. Also Gilmore Girls. Show notes: HIll’s criteria for causation: https://en.wikipedia.org/wiki/Bradford_Hill_criteria O’Reilly Bots Podcast: https://www.oreilly.com/topics/oreilly-bots-podcast NHTSA’s Federal Automated Vehicles Policy: http://www.nhtsa.gov/nhtsa/av/index.html

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Roger sits down with Amelia McNamara, Visiting Assistant Professor of Statistical and Data Sciences at Smith College, to talk about data science, data journalism, visualization, the problems with R, and adult coloring books. Show Notes: Amelia McNamara’s web site: http://www.science.smith.edu/~amcnamara/index.html Mark Hansen: http://datascience.columbia.edu/mark-hansen Listening Post: https://www.youtube.com/watch?v=dD36IajCz6A Moveable Type: http://www.nytimes.com/video/arts/1194817116105/moveable-type.html Alan Kay: https://en.wikipedia.org/wiki/Alan_Kay HARC (Human Advancement Research Community): https://harc.ycr.org/ VPRI (Viewpoints Research Institute): http://www.vpri.org/index.html LivelyR and spatial aggregation explorers: https://www.youtube.com/watch?v=hps9r7JZQP8 Golden Ratio Coloring Book: https://rafaelaraujoart.com/products/golden-ratio-coloring-book Cats explaining statistics: https://www.youtube.com/watch?v=RXY-WN0ahiw Support us through our Patreon page: https://www.patreon.com/NSSDeviations?ty=h Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

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Hilary and Roger recover from last week’s U.S. election. There’s not really any data science (or much of anything else) in this episode, but if you’re just wondering how things are going, here it is. (Note: Patreon subscribers will not be charged for this episode)

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Hilary and Roger go through the overflowing mailbag to respond to listener questions. Topics include causal inference in trend modeling, regression model selection, using SQL, and data science certification. Show notes: Professor Kobre's Lightscoop Standard Version Bounce Flash Device: https://www.amazon.com/gp/product/B0017LNHY2/ Speechpad: https://www.speechpad.com Speaking American by Josh Katz: https://www.amazon.com/gp/product/0544703391/ Data Sets Are The New Server Rooms: https://medium.com/@josh_nussbaum/data-sets-are-the-new-server-rooms-40fdb5aed6b0?_hsenc=p2ANqtz-8IHAReMPP2JjyYs6TqyMYCnjUapQdLQFEaQOjNX9BfUhZV2nzXWwy2NHJHrCs-VN67GxT4djKCUWq8tkhTyiQkb965bg&_hsmi=36470868#.wybl0l3p7 Are Datasets the New Server Rooms? http://simplystatistics.org/2016/10/26/datasets-new-server-rooms/

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Hilary and Roger meet at a Jimmy John's to talk data science, like you do. Topics covered include RStudio Conf, polling, millennials, Karl Broman, and more! Show notes: rstudio::conf https://www.rstudio.com/conference/ We Gave Four Good Pollsters the Same Raw Data. They Had Four Different Results: http://www.nytimes.com/interactive/2016/09/20/upshot/the-error-the-polling-world-rarely-talks-about.html?_r=0 Millenials: https://en.wikipedia.org/wiki/Millennials Karl Broman: http://kbroman.org Interview with J.J. Allaire: https://www.rstudio.com/2016/10/12/interview-with-j-j-allaire/ One Year at Stack Overflow: http://varianceexplained.org/r/year_data_scientist/

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Hilary and Roger invite Walt Hickey of FiveThirtyEight.com on to the show to talk about polling, movies, and data analysis reproducibility (of course!). Show notes: FiveThirtyEight’s polling methodology: http://fivethirtyeight.com/features/a-users-guide-to-fivethirtyeights-2016-general-election-forecast/ Walt Hickey on Twitter: https://twitter.com/walthickey The 20 Most Extreme Cases Of ‘The Book Was Better Than The Movie’: http://fivethirtyeight.com/features/the-20-most-extreme-cases-of-the-book-was-better-than-the-movie/ Matthew Butterick Typography: http://typographyforlawyers.com/fonts.html Hopp: http://www.hoppstudios.com

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Hilary and Roger celebrate their one year anniversary doing the podcast together by discussing whether there are cities that are good for data scientists, reproducible research, and professionalizing data science. Show Notes: Roger’s reproducible research workshop: https://www.biostat.washington.edu/suminst/sisbid2016/modules/BD1603 Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter NSSD Patreon page: https://www.patreon.com/nssdeviations There’s More Than One Kind of Data Scientist by Harlan Harris: http://radar.oreilly.com/2013/06/theres-more-than-one-kind-of-data-scientist.html Billionaire's row in San Francisco: http://sf.curbed.com/maps/mapping-the-10-sf-homes-with-the-highest-property-taxes Mindfulness-based stress reduction https://en.wikipedia.org/wiki/Mindfulness-based_stress_reduction OSIRIS-REx http://www.asteroidmission.org/

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Hilary and Roger are apart again and this time they’re talking about political polling. Also, they discuss Trump’s tweets, and the fact that Hilary owns a bowling ball. Show notes: FiveThirtyEight election dashboard: http://projects.fivethirtyeight.com/2016-election-forecast/ The Upshot’s election dashboard: http://www.nytimes.com/interactive/2016/upshot/presidential-polls-forecast.html David Robinson’s post on Trump’s tweets: http://varianceexplained.org/r/trump-tweets/ Julia Silge’s Twitter account: https://twitter.com/juliasilge The Katering Show: http://thekateringshow.com Omni: https://www.beomni.com

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Hilary and Roger are in Chicago (together!) for the annual Joint Statistical Meetings, the largest gathering of statisticians in the world. They discuss the session that Hilary organized, byzantine ASA bureaucracy, data scientists interacting with the media, and other highlights from the meeting. Also, a surprise guest drops in! Show notes Joint Statistical Meetings (https://www.amstat.org/meetings/jsm/2016/) The rOpenSci Project (https://ropensci.org) Moveable Type by Ben Rubin and Mark Hansen: Video (https://vimeo.com/1850342) Article (http://www.nytimes.com/2007/10/25/arts/design/25vide.html)

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Hilary and Roger talk about statistical software in fMRI analyses, the differences between software testing differences in proportions (a must listen!), and a preview of JSM 2016. Show Notes: fMRI bugs could upend years of research: http://www.theregister.co.uk/2016/07/03/mri_software_bugs_could_upend_years_of_research/?mt=1467760452040 Eklund et al. PNAS Paper: http://www.pnas.org/content/113/28/7900.full JSM 2016 Program: https://www.amstat.org/meetings/jsm/2016/onlineprogram/index.cfm Conversations on Data Science: https://leanpub.com/conversationsondatascience

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With Hilary fresh from Use R! 2016, Roger and Hilary discuss some of the highlights from the conference. Also, some followup about a previous Free Advertising and the NSSD drinking game. Show Notes: Theranos movie with Jennifer Lawrence and Adam McKay: http://www.vanityfair.com/hollywood/2016/06/jennifer-lawrence-theranos-elizabeth-holmes Snowden movie: https://en.wikipedia.org/wiki/Snowden_(film) What3Words being used in Mongolia: http://www.npr.org/2016/06/19/482514949/welcome-to-mongolias-new-postal-system-an-atlas-of-random-words lintr package: https://github.com/jimhester/lintr “The Electronic Coach” with Don Knuth: https://youtu.be/dhh8Ao4yweQ Exploring the data on gender and GitHub repo ownership: http://alyssafrazee.com/gender-and-github-code.html Jeff Atwood “Falling Into the Pit of Success”: https://blog.codinghorror.com/falling-into-the-pit-of-success/ Google coLaboratory: https://research.googleblog.com/2014/08/doing-data-science-with-colaboratory.html #rcatladies stickers: https://www.stickermule.com/marketplace/12936-number-rcatladies Katie Mack time-lapse video: https://twitter.com/astrokatie/status/745529809669787649

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Hilary and Roger talk about Amazon Echo and Alexa as AI as a service, the COMPAS algorithm, criminal justice forecasts, and whether algorithms can introduce or remove bias (or both). Show Notes: In Two Moves, AlphaGo and Lee Sedol Redefined the Future (http://www.wired.com/2016/03/two-moves-alphago-lee-sedol-redefined-future/) Google’s AI won the game Go by defying millennia of basic human instinct (http://qz.com/639952/googles-ai-won-the-game-go-by-defying-millennia-of-basic-human-instinct/) Machine Bias: There’s Software Used Across the Country to Predict Future Criminals. And it’s Biased Against Blacks (https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing) ProPublica analysis of COMPAS (https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm) Richard Berk’s Criminal Justice Forecasts of Risk (http://www.amazon.com/Criminal-Justice-Forecasts-Risk-SpringerBriefs/dp/1461430844?ie=UTF8&Version=1&entries=0) Cathy O’Neill: Weapons of Math Destruction (http://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815) Cathy O’Neill: I’ll stop calling algorithms racist when you stop anthropomorphizing AI https://mathbabe.org/2016/04/07/ill-stop-calling-algorithms-racist-when-you-stop-anthropomorphizing-ai/ RMS Fact package: https://cran.r-project.org/web/packages/rmsfact/index.html Use R! 2016: http://user2016.org

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Roger and Hilary are back, with Hilary broadcasting from the west coast. Hilary and Roger discuss the possibility of scaling data analysis and how that may or may not work for companies like Palantir. Also, the latest on Theranos and the release of data from OkCupid. Show notes: BuzzFeed Article on Palantir: https://www.buzzfeed.com/williamalden/inside-palantir-silicon-valleys-most-secretive-company Roger’s Simply Statistics post on Palantir: http://simplystatistics.org/2016/05/11/palantir-struggles/ Looker: https://looker.com Data science done well looks easy: http://simplystatistics.org/2015/03/17/data-science-done-well-looks-easy-and-that-is-a-big-problem-for-data-scientists/ Latest on Theranos: http://www.wsj.com/articles/theranos-voids-two-years-of-edison-blood-test-results-1463616976 OkCupid Data Release: http://www.vox.com/2016/5/12/11666116/70000-okcupid-users-data-release Secret history of Silicon Valley: http://fr.slideshare.net/sblank/secret-history-why-stanford-and-not-berkeley Wealthfront blog: https://blog.wealthfront.com

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This is Hilary’s and Roger’s last New York-Baltimore episode! In future episodes, Hilary will be broadcasting from California. In this episode Hilary and Roger discuss collaboration tools and workflow management for data science projects. To date, Roger has not found a project management tool that he can actually use (besides email), but is open to suggestions (from students). Links: Hilary’s tweet on cats: https://twitter.com/hspter/status/725411087110299649 Awesome vs. cats mug: https://www.etsy.com/listing/185113916/cat-mug-awesome-funny-mug-coffee-cup-tea John Urschel’s web page: http://math.mit.edu/~urschel/ Profile of John Urschel by the AMS: http://www.ams.org/publications/journals/notices/201602/rnoti-p148.pdf The other NFL player/mathematician: https://en.wikipedia.org/wiki/Frank_Ryan_(American_football) GitHub flow: https://guides.github.com/introduction/flow/ Problems with Slack: https://www.theinformation.com/articles/why-slack-needs-a-product-fix Relativity and GPS: http://www.astronomy.ohio-state.edu/~pogge/Ast162/Unit5/gps.html The Information is looking for a Data Storyteller: https://www.theinformation.com/become-a-data-storytelling-superstar-at-the-information Stitch Fix is looking for Data Scientists: https://www.stitchfix.com/careers?gh_jid=169746?gh_jid=169746

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Hilary and Roger meet up face-to-face for the first time since the podcast started! This a short episode to document the unboxing of the official Not So Standard Deviations hex stickers that are available to our Patreon patrons who have signed up at the $2 per episode sticker level. Our Patreon Page (https://www.patreon.com/NSSDeviations) NSSD Stickers (https://goo.gl/A3xLhM)

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Hilary and Roger talk about the difficulties of separating data analysis from its context, and Feather, a new file format for storing tabular data. Also, Hilary and Roger respond to some listener questions and Hilary announces her new job. If you have questions you’d like us to answer, you can send them to nssdeviations@gmail.com or tweet us at @NSSDeviations. Show notes: NSSD Patreon page (https://www.patreon.com/NSSDeviations) Feather git repository (https://github.com/wesm/feather/) Apache Arrow (https://arrow.apache.org) FlatBuffers (https://google.github.io/flatbuffers/) Roger’s blog post on feather (http://simplystatistics.org/2016/03/31/feather/) NausicaaDistribution (https://www.etsy.com/shop/NausicaaDistribution) New York R Conference (http://www.rstats.nyc) Every Frame a Painting (https://goo.gl/J2QAWK)