Shows
Miner VinoREAD/DOWNLOAD R for Data Science: Import, Tidy, Transform, Visualize, and Model Data EBOOKTo Read or Download R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham
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2026-02-0600 minMiner VinoREAD/DOWNLOAD R for Data Science: Import, Tidy, Transform, Visualize, and Model Data EBOOKTo Read or Download R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham
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read (PDF) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data pdf
read (PDF) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data ebook
read (PDF) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data PDF [All Chapters]
2026-02-0600 minMiner VinoREAD/DOWNLOAD R for Data Science: Import, Tidy, Transform, Visualize, and Model Data EBOOKTo Read or Download R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham
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Link To Download => https://softebooks.com/?book=1492097403
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read (PDF) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data pdf
read (PDF) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data ebook
read (PDF) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data PDF [All Chapters]
2026-02-0600 minMiner VinoPDF [Download] ggplot2: Elegant Graphics for Data Analysis (Use R) By Hadley Wickham on Mac Full EditionDownload ePub ggplot2: Elegant Graphics for Data Analysis (Use R) by Hadley Wickham Online New Edition
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...
2026-02-0600 min
R Weekly HighlightsIssue 2025-W48 HighlightsPrepare to deploy multiple LLM-powered agents for your next (secret) missions with mini007, a new contender to the high-performance linter tools with blazing performance that doesn't seem possible (but it is), and a usethis-like manager for your projects needing unified branding across deliverables. Episode Links This week's curator: Eric Nantz: @rpodcast@podcastindex.social (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter)mini007 - A Lightweight Framework for Multi-Agent Orchestration in RJarl: just another R linter{rbranding} 0.1.0: Manage Branding and Accessibility of R ProjectsEntire issue available at rweekly.org/2025-W48Supplement Resources Add links dis...
2025-11-2638 min
Ahmad Hardyoni->Download PDF Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R written By Hadley Wickham on Ipad Full ChaptersLink To Download : https://starmediabooks.blogspot.com/id/1492047384
Available versions: EPUB, PDF, MOBI, DOC, Kindle, Audiobook, etc.
Reading Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R
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You Can Download Or Read Free Books
2025-09-0300 min
The Test Set by PositHadley Wickham: Spreadsheets, bikes, and the accidental empire of R packagesBefore Hadley Wickham became a pillar of modern data science, he was a spreadsheet-loving teenager making databases for his dad’s job. In this episode, he reflects on the early days of his involvement with R, the birth of tidyverse, and how real-world unpredictability — like a bear in a field — shapes data science.What’s Inside:Hadley’s first brush with R code … inside a Word docConsulting as a grad student — and learning what people really want from statsHow messy Excel sheets inspired the tidy data revolutionWriting R packages as a form of self-defense (and productivity)The secret sau...
2025-06-3028 min
The Random SampleDesigning the Tools that Shape Data Science - with Dr Hadley WickhamWe’re diving into the design and development of the tools that have transformed data science and statistical programming — with none other than Dr Hadley Wickham. Hadley is the Chief Scientist at Posit (formerly RStudio), where he leads the Tidyverse team. This team is behind some of the most widely used open-source packages in the R programming language — including dplyr and ggplot2. These tools have empowered thousands of data scientists and researchers to explore complex datasets and communicate insights through compelling visualisations. In this episode, Hadley shares key lessons he’s learnt from over two decades of...
2025-05-2847 minR Weekly HighlightsIssue 2025-W12 HighlightsThriving in a multi-lingual data science lifestyle while authoring your next Quarto project, putting LLMs to the scientific test with parsing manuscripts, and replicating a life-saving spatial visualization originally created over 170 years ago!Episode LinksThis week's curator: Ryo Nakagawara - @R_by_Ryo@mstdn.social (Mastodon) & @rbyryo.bsky.social (Bluesky) & @R_by_Ryo) (X/Twitter)Creating multilingual documentation with QuartoThe ellmer package for using LLMs with R is a game changer for scientists{SnowData} 1.0.0: Historical Data from John Snow's 1854 Cholera Outbreak MapEntire issue available at rweekly.org/2025-W12Supplement ResourcesWes McKinney & Hadley Wickham (on cross-language...
2025-03-1939 min
Coder Radio608: R With Eric NantzHouse Keeping
Google / YouTube Update
Join the Discord!
Feedback
Rust in the Linux Kernel.
R Stuff
What is R Again?
Great presentation by John Chambers at UseR! 2006 https://www.r-project.org/conferences/useR-2006/Slides/Chambers.pdf
The times have changed, now R is very much suited for production use and not just an academic research language
Highly recommend reading Advanced R for more comprehensive details on the quirks of the language https://adv-r.hadley.nz/index.html
R VS Python for Data?
Different philosophies on the use...
2025-02-2455 min
Open Source StoriesFocus and feedback in the tidyverseHadley Wickham takes Tracy Teal through the evolution of the tidyverse, starting with a box of rocks all the way through to a thriving community of data scientists. Join them on the Open Source Story of the tidyverse!
2025-01-2129 min
My Blog » demo20->Read or Download ePub Advanced R by Hadley Wickham on MacLink To Download : https://recomendedbook.com/?book=0815384572 To Download or Read Advanced R by Hadley Wickham Available versions: EPUB, PDF, MOBI, DOC, Kindle, Audiobook, etc. Reading Advanced R Download Advanced R PDF/EBooks Advanced R
2024-10-0400 min
Super Data Science: ML & AI Podcast with Jon Krohn782: In Case You Missed It in April 2024Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of GenAI and its impact on the world of work. And SuperDataScience founder Kirill Eremenko gives a lively workshop on gradient boosting. ...
2024-05-1040 min
Super Data Science: ML & AI Podcast with Jon Krohn779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley WickhamTidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about the Tidyverse [04:46]• Hadley’s favorite R libraries [17:10]• The goal of Posit...
2024-04-301h 27
Science Research WeeklyScience is Coming Up Sixes! (Season 3: Episode 3)Get ready for an ancient black hole, capturing the complexity of fragile ocean life, the magnetic map of the Milky Way, Six not-so-basic R functions, the Six degrees of Hadley Wickham, and a grant on agricultural genomes to phenomes. Science On.
References:
A small and vigorous black hole in the early Universe
Contrast Agent-Free 3D Renal Ultrafast Doppler Imaging Reveals Vascular Dysfunction in Acute and Diabetic Kidney Diseases
An in situ digital synthesis strategy for the discovery and description of ocean life
Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning...
2024-01-2508 min
Step Inside The Thrilling Full Audiobook Experience!Interstellar Tours by Brian CleggPlease visithttps://thebookvoice.com/podcasts/2/audible/235565to listen full audiobooks.
Title: Interstellar Tours
Author: Brian Clegg
Narrator: Keith Wickham
Format: mp3
Length: 7 hrs and 44 mins
Release date: 09-21-23
Ratings: Not rated yet
Genres: Cosmology
Publisher's Summary:
Brian Clegg's acclaimed popular science book Inflight Science explored the science experienced on a plane flight. Interstellar Tours takes that concept and goes large. It takes the listener on a tour of our galaxy on the starship Endurance.
2023-09-217h 44
lilacbeecread[PDF] DOWNLOAD READ Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R DOWNLOAD E.P.U.B.**Download Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R Full Edition,Full Version,Full Book**
by Hadley Wickham
Reading Now at : https://happyreadingebook.club/?book=1492047384
OR
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[PDF] Download [PDF] DOWNLOAD READ Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R DOWNLOAD E.P.U.B. Ebook | READ ONLINE Download [PDF] DOWNLOAD READ Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R DOWNLOAD E.P.U.B. read ebook online PDF EPUB KINDLE Download...
2023-09-0600 min
marinheylabook[[F.r.e.e D.o.w.n.l.o.a.d R.e.a.d]] Mastering Shiny Build Interactive Apps Reports and Dashboards Powered by R [F.R.E.E D.O.W.N.L.O.A.D R.E.A.D]**Download Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R Full Edition,Full Version,Full Book**
by Hadley Wickham
Reading Now at : https://happyreadingebook.club/?book=1492047384
OR
DOWNLOAD EBOOK NOW!
[PDF] Download [[F.r.e.e D.o.w.n.l.o.a.d R.e.a.d]] Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R [F.R.E.E D.O.W.N.L.O.A.D R.E.A.D] Ebook | READ ONLINE Download [[F.r...
2023-09-0100 min
Forecasting ImpactForecasting Software PanelIn this episode, we had the honour of having three guests on our panel: Prof Rob Hyndman, Professor of Statistics from Monash University, Federico Garaz, CTO and co-founder of Nixtla, and Eric Stellwagen, CEO and Co-founder of Business Forecast Systems. We discussed a range of topics on the role of software in forecasting, the latest status, and future trends in forecasting software. The panel shed light on the importance of incorporating operational information in software and integrating decision information in the software. We discussed some of the challenges in implementing forecasting software and getting them to work.
2023-05-0850 min
Learning from Machine LearningVincent Warmerdam: Calmcode, Explosion, Data Science | Learning From Machine Learning #2Learning from Machine Learning, a podcast that explores more than just algorithms and data: Life lessons from the experts. This episode we welcome Vincent Warmerdam, creator of calmcode, and machine learning engineer at SpaCy to discuss Data Science, models and much more. @learningfrommachinelearningResources to learn more about Vincent Warmerdam:https://calmcode.io/https://youtu.be/kYMfE9u-lMohttps://youtu.be/S7vhi6RjBZAhttps://github.com/koaningReferences from the Episode:You Look Like a Thing and I Love You: How Artificial Intelligence Works...
2023-01-311h 08
The PolicyViz PodcastMax Kuhn Shows You How to Model Data in RMax Kuhn is a software engineer at RStudio. He is currently working on improving R’s modeling capabilities and maintains about 30 packages, including caret. He was a Senior Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max has a Ph.D. in Biostatistics. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015. Their second book, Feature Engineering and Selection, was published in 2019 and hi...
2022-11-2237 minThe PolicyViz PodcastVisualize Qualitative Data with Julia SilgeJulia Silge is a data scientist and software engineer at RStudio PBC where she works on open source modeling tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.xEpisode Noteshttps://juliasilge.com/https://www.tidymodels.org/https://www.tmwr.org/https://smltar.com/https://vetiver.rstudio.com/Related EpisodesEpisode #207: Tom Mock Episode #201: Leland WilkinsonEpisode #69: Hadley...
2022-10-2538 min
Shiny Developer SeriesEpisode 30: The Connecticut COVID-19 Test Spotter App (Part 1)Episode 30 of the Shiny Developer Series reveals just how the power of open source software can be used to provide meaningful improvement to our daily lives. In the first of a two-part series, chief data scientist Mike Thomas reveals the motivation behind his brilliant COVID-19 test locator Shiny application, empowering a local community in Connecticut to efficiently report and track availability of test kits in a huge time of need. After a tour of the application interface, Mike shares his favorite techniques to bring an efficient user experience and the backend integrations with APIs to bring production-grade features to life.
2022-05-2747 minShiny Developer SeriesEpisode 30: The Connecticut COVID-19 Test Spotter App (Part 1)Episode 30 of the Shiny Developer Series reveals just how the power of open source software can be used to provide meaningful improvement to our daily lives. In the first of a two-part series, chief data scientist Mike Thomas reveals the motivation behind his brilliant COVID-19 test locator Shiny application, empowering a local community in Connecticut to efficiently report and track availability of test kits in a huge time of need. After a tour of the application interface, Mike shares his favorite techniques to bring an efficient user experience and the backend integrations with APIs to bring production-grade features to life.
2022-05-2747 min
DatabasEDSo you think you’re not a “data person”: Ryan Estrellado on creating communities with data and data scienceIn this episode, we talk with educational consultant, data scientist, book author, podcast host, and former educational psychologist Ryan Estrellado about living in the Venn diagrams of overlapping professional communities and finding your (our) place in those intersections. We talk about practical strategies for working with educators who have a wide variety of interests in data and specifically tools for data analysis, and about breaking down common misconceptions about data analysis or data science as it can be used to answer real questions in local educational settings. Although we had planned to focus the episode on Ryan's new book...
2022-04-041h 02
The Data WranglersTidy Data with Hadley WickhamWhat is the Tidyverse and why is it important? Hadley Wickham is a leading data scientist and advocate for improving data science with tidy data and data hygiene. He’s the Chief Scientist at RStudio and an Adjunct Professor of Statistics at the University of Oakland, Stanford University and Rice University. Join the Tidyverse discussion with The Data Wranglers Joe Hellerstein and Jeffrey Heer. #TheDataWranglers
2022-01-1339 min
プログラム雑談171回 Grammar of Graphicsの学び方と設計の学び方最近読んでいる、The Grammar of Graphicsという本の話と、そうした事を学ぶのがプログラムの設計を学ぶ良い方法だという話。
RandomTHoughts: The Grammar of Graphics
ですね。Hadley Wickham
2021-12-2232 min
The Effective Statistician - in association with PSILearnings from 1 year of the Wonderful WednesdaysInterview with Steve Mallett and Bodo Kirsch
The Wonderful Wednesday Webinar series was introduced in an earlier episode. In this episode we dive deep into what has happened over 1 year of the Wonderful Wednesday Webinars. This great series on visual analytics helped us to learn how we can use visualizations of data in our development process and beyond. Bodo as the new chair and Steve as an early member are talking with me about this initiative of the EFSPI/PSI Visualisation special interest group.
Join us while we discuss the following points:
What have you learned...
2021-04-2643 minShiny Developer SeriesEpisode 19: Climbing the Ladder of Shiny Mastery with Hadley WickhamA brand new season of the Shiny Developer Series kicks off with RStudio\'s chief scientist Hadley Wickham! Hadley joins Eric in episode 19 to discuss his exciting new book, Mastering Shiny. As author of many Tidyverse packages and long time contributor to the data science community, he has poured his wealth of experience into this book dedicated to helping you become a better Shiny developer. We talk about the origins of Shiny and advice for those just starting out. For those already familiar with Shiny we discuss debugging, how to level up your skills, and best practices for seeking help...
2021-03-1044 minShiny Developer SeriesEpisode 19: Climbing the Ladder of Shiny Mastery with Hadley WickhamA brand new season of the Shiny Developer Series kicks off with RStudio\'s chief scientist Hadley Wickham! Hadley joins Eric in episode 19 to discuss his exciting new book, Mastering Shiny. As author of many Tidyverse packages and long time contributor to the data science community, he has poured his wealth of experience into this book dedicated to helping you become a better Shiny developer. We talk about the origins of Shiny and advice for those just starting out. For those already familiar with Shiny we discuss debugging, how to level up your skills, and best practices for seeking help...
2021-03-1044 min
Software Engineering Radio - the podcast for professional software developersEpisode 450: Hadley Wickham on R and TidyverseHadley Wickham, chief scientist at RStudio and creator of the Tidyverse, discusses how R and its data science package the TidyVerse are used and created. Host Felienne speaks with Wickham about the design philosophy of the Tidyverse, and how it supports..
2021-03-1051 minSoftware Engineering Radio - The Podcast for Professional Software DevelopersEpisode 450: Hadley Wickham on R and TidyverseHadley Wickham, chief scientist at RStudio and creator of the Tidyverse, discusses how R and its data science package the TidyVerse are used and created. Host Felienne speaks with Wickham about the design philosophy of the Tidyverse, and how it supports..
2021-03-1051 minSoftware Engineering Radio - the podcast for professional software developersEpisode 450: Hadley Wickham on R and TidyverseHadley Wickham, chief scientist at RStudio and creator of the Tidyverse, discusses how R and its data science package the TidyVerse are used and created. Host Felienne speaks with Wickham about the design philosophy of the Tidyverse, and how it supports..
2021-03-1051 min
Making Data SimpleHadley Wickham talks about his journey in data science, tidy data concepts, and his many books.Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Hadley Wickham is Chief Scientist at RStudio, and an...
2020-07-1540 minMaking Data SimpleHadley Wickham talks about his journey in data science, tidy data concepts, and his many books.Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Hadley Wickham is Chief Scientist at RStudio, and an...
2020-07-1540 min
PODMÉTODOSEp. 10: Ferramentas para análise de dados: R, SPSS e STATANesse episódio, Amanda Domingos e Rodrigo Lins recebem Antônio Fernandes e Willber Nascimento, os demais membros da iniciativa Métodos em Pauta (@metodosempauta) para discutir um pouco sobre as ferramentas utilizadas para análise de dados, os prós e contras dos softwares e muito mais.
Disclaimer: o “Parabéns pra você” (Xuxa) foi vetado pelo nosso editor-chefe, por ferir os direitos autorais da Som Livre.
Indicações do episódio
Imai, K. (2018). Quantitative social science: An introduction. Princeton University Press.
Jackson Aquino. R para...
2020-07-0243 min
A Question of Code66: How do you get started in data science? (with Tom Sainsbury)We were joined for this episode by Tom Sainsbury, a neuroscientist who has a wealth of experience in using programming to deal with data. We discuss the ins and outs of "data science" as a discipline, as well as how it intersects with the world of professional programming.How do you deal with your data when you're collecting 500GB per day? How do scientists interact with code in a lab setting? What uses are there for data science in the wider tech industry? How can you tell a story with data and code? Find...
2020-06-0839 min
Cuestión de Datos¡Precaución! Jupyter Notebook a 50mLos Jupyter Notebooks son el ambiente de desarrollo más popular para el DS, hoy hablaremos de sus ventajas, desventajas, y precauciones a tomar al momento de usarlos.Además exploramos los fundamentos de Tidy Data. En el repositorio tenemos a: ¡Hadley Wickham!
2020-05-2537 minLinear DigressionsThe Grammar of GraphicsYou may not realize it consciously, but beautiful visualizations have rules. The rules are often implict and manifest themselves as expectations about how the data is summarized, presented, and annotated so you can quickly extract the information in the underlying data using just visual cues. It’s a bit abstract but very profound, and these principles underlie the ggplot2 package in R that makes famously beautiful plots with minimal code. This episode covers a paper by Hadley Wickham (author of ggplot2, among other R packages) that unpacks the layered approach to graphics taken in ggplot2, and makes clear the as...
2020-05-0400 min
Linear DigressionsThe Grammar Of GraphicsYou may not realize it consciously, but beautiful visualizations have rules. The rules are often implict and manifest themselves as expectations about how the data is summarized, presented, and annotated so you can quickly extract the information in the underlying data using just visual cues. It’s a bit abstract but very profound, and these principles underlie the ggplot2 package in R that makes famously beautiful plots with minimal code. This episode covers a paper by Hadley Wickham (author of ggplot2, among other R packages) that unpacks the layered approach to graphics taken in ggplot2, and makes clear the assumptions an...
2020-05-0435 min
Linear DigressionsThe Grammar Of GraphicsYou may not realize it consciously, but beautiful visualizations have rules. The rules are often implict and manifest themselves as expectations about how the data is summarized, presented, and annotated so you can quickly extract the information in the underlying data using just visual cues. It’s a bit abstract but very profound, and these principles underlie the ggplot2 package in R that makes famously beautiful plots with minimal code. This episode covers a paper by Hadley Wickham (author of ggplot2, among other R packages) that unpacks the layered approach to graphics taken in ggplot2, and makes clear the assumptions an...
2020-05-0435 min
Quail data por tacos de datos 🤓🌮📊tacos jarochosNotas del show:
Creadora del logo: @AVazez
Libro de Hadley Wickham: R para Ciencia de Datos
@RLadiesXalapa y Marcela (@OsornoMarcela)
Enlaces de tacosdedatos:
El boletín en tacosdedatos.substack.com
Quail data: anchor.fm/quaildata
tacosdedatos.com
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2020-03-3143 minShiny Developer SeriesEpisode 9: Shiny Dev Center & Education with Mine Cetinkaya-RundelThe Shiny Developer Series is back! In our first session of 2020, we are joined by professional educator and data scientist Mine Cetinkaya-Rundel to get the inside story of the newly updated Shiny Dev Center (including a major revision of the Shiny Gallery) and the insights RStudio gained from the Shiny Contest. Also Mine shares her advice on developing educational material for Shiny users and where she sees future opportunities in this evolving space.ResourcesShiny Gallery: shiny.rstudio.com/galleryShiny Tutorials: shiny.rstudio.com/tutorialReprex guide for Shiny questions on RStudio Community: community.rstudio.com/100012020 Shiny Contest information...
2020-03-1039 minShiny Developer SeriesEpisode 9: Shiny Dev Center & Education with Mine Cetinkaya-RundelThe Shiny Developer Series is back! In our first session of 2020, we are joined by professional educator and data scientist Mine Cetinkaya-Rundel to get the inside story of the newly updated Shiny Dev Center (including a major revision of the Shiny Gallery) and the insights RStudio gained from the Shiny Contest. Also Mine shares her advice on developing educational material for Shiny users and where she sees future opportunities in this evolving space.ResourcesShiny Gallery: shiny.rstudio.com/galleryShiny Tutorials: shiny.rstudio.com/tutorialReprex guide for Shiny questions on RStudio Community: community.rstudio.com/100012020 Shiny Contest information...
2020-03-1039 min
Super Data Science: ML & AI Podcast with Jon Krohn337: Hadley Wickham Talks Integration and Future of R and PythonHadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.In this episode you will learn:
Hadley’s R packages [8:26]
Better integrations between R and Python [20:11]
LinkedIn Q&A [33:34]
useR Conference vs. RStudio Conference [50:46]
LinkedIn Q&A: Career-related questions [1:01:06]
LinkedIn Q&A: Future-related questions [1:08:01]
Additional materials: www.superdatascience.com/337
2020-02-061h 14
A for Effort29 W for Word Camel Word Camel WordIn which Harry and Mairead discuss the economics of human migration and data science. No camels (or words) were hurt in the making of this episode.
For more about the economics of human migration, Harry recommends the special report on migration from The Economist. We also emphasize that we are not sponsored by The Economist.
For more about data science, Mairead recommends reading R for Data Science by Hadley Wickham and Garrett Grolemund.
We’re on instagram @aforeffortcast, with art by Marielle Wall.
Our music is “Chop Shop (Instrumental)” by White Flower...
2020-01-2320 min
The Random SampleA Chat with Hadley WickhamThe world of data science has seen a massive explosion of interest in the last decade. It’s more important than ever before to be able to work with data, visualise it and find the meaning in it. One man who is helping hundreds of thousands of people do just that – is statistician Hadley Wickham. Hadley is now the Chief Scientist at RStudio.In this episode, Hadley talks about his groundbreaking work, and shares his journey on how he got to where he is now.The Random Sample is a podcast by the Australian Research Council Centre of Excellence for Math...
2019-12-0332 minQuail data por tacos de datos 🤓🌮📊Tacos de CodornizEsta semana tenemos otro anuncio: Quail data. Un podcast más efímero, rústico, y rápido estilo más como boletín de noticias en el que estaremos compartiendo bibliotecas, paquetes, cursos, eventos, tutoriales, etc. Quail data va a ser públicado una o dos veces por semana y tocaremos estos recursos de manera más superficial. tacosdedatos, el podcast obviamente seguirá publicandose. En este podcast tocaremos los temas más a fondo y tendremos conversaciones más substantivas. Sin más, aquí esta Quail data.
En el primer episodio de Quail data aprendemos de 7 recursos:...
2019-10-0827 min![[Deprecated] Quail data](https://d3t3ozftmdmh3i.cloudfront.net/production/podcast_uploaded/2412754/2412754-1578459181459-037b58970da9e.jpg)
[Deprecated] Quail dataQuail data 0001 - fishualize, textstat, mockaroo y másEn el primer episodio de Quail data aprendemos de 7 recursos:
fishualize
textstat
mockaroo
drawdata.xyz
Intro a R y RStudio de Rafa Gouveia
Intro to Python de Simplificando Datos
R para Ciencia de Datos de Hadley Wickham en español
Bonus: Bar Chart Races por Rafael Gouveia en tacosdedatos.com
Manda tus sugerencias a sugerencias@tacosdedatos.com por twitter a @tacosdedatos.com o dejando un comentario en tacosdedatos.fm
¡Apoya este podcast!
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2019-10-0611 min
PyDataMCREpisode 8 - Mucking around and making things work Ft. Tom LiptrotWelcome to PyDataMCR episode 8 , today we are talking to Tom Liptrot who is a Consultant Data Scientist at Ortom, a Manchester based Data Science Consultancy.
We talk about how flexibility at work can lead to great data products, some various meetups Tom will be attending and even some stand up comedy.
Show Notes
Sponsors
Arctic Shores - arcticshores.com/
Cathcart Associates - cathcartassociates.com/
Meetups
Pydatamcr - https://www.meetup.com/PyData-Manchester/
Macnml - https://www.mancml.io/
...
2019-09-2447 minPyDataMCREpisode 3 - Forecasting Ft. Kaylea HaynesDescription
Welcome to PyDataMCR episode 3 , today we are talking about forecasting with Kaylea Haynes, data science team leader at Peak here in Manchester. Kaylea is involved in RLadies Manchester and has a great presence in the data community here in Manchester and seems to have the impressive skill of being everywhere at once.
Show Notes
ARIMA Python - bit.ly/2Z6VMKB
ARIMA R - bit.ly/2IpErqs
Fb prophet -bit.ly/2X6U9uS
Forecasting book - amzn.to/2KsLuBr
Croston method...
2019-04-2541 min
DatacastEpisode 9: Diving Into Data Engineering with Mark SellorsShow Notes:(2:05) Mark revisited his brief stint during college back in the 90s.(3:38) Mark’s first job as a Business Consultant at Dixon Stores Group was a humbling experience.(5:41) Mark stressed the importance of customer empathy that lasts with him throughout his career.(6:45) Mark talked about his next long-term job as a Configuration & Support Engineer at Orange PCS, where he built solid technical skills in IT and data work.(12:51) Mark discussed his next gig working as a Principal Specialist at T-Systems and then doing freelance work in IT and data analytics.(16:23) Ma...
2019-02-011h 07
DatacastEpisode 5: Applied Statistics in Data Science with Christopher PetersShow Notes:(2:05) Chris recalled his Econometrics and Quantitative Economics study during his undergraduate days.(4:14) Chris talked about his research work focus on oil and gas at the Center for Energy Studies at Louisiana State University.(5:53) Chris gave some insights on how data science and econometrics can solve problems in the energy industry.(7:51) Chris talked about his decision to pursue a Masters in Applied Statistics.(9:02) Chris emphasized the importance of learning statistical theory. In particular, survival analysis is very similar to conversion rate analysis.(10:28) Chris discussed his Master’s thesis work in an...
2018-10-2849 min
The Black GoatBeing DifferentIn this episode we tell personal stories about being different, and we reflect on how our identities and experiences - in life and in professional spheres - have been shaped by that. Sanjay talks about growing up multiracial and trying to figure out what that meant while the world was trying to define it for him. Simine talks about not conforming to gender expectations and the assumptions and reality about sexual orientation that go with that. Alexa talks about how her understanding of her own romantic and sexual attractions and interests evolved over time and how she started dating wom...
2018-08-221h 33
DatacastEpisode 1: Molecular Biologist turned Data Scientist with Jonathan LeslieShow Notes:(2:10) Jon reflects on his academic career and explained why he pursued an advanced degree in Biology. He also went over his post-doc fellowship at Cancer Research UK.(4:45) Jon discusses the zebra-fish project he worked on during his post-doc research at King’s College London.(8:13) Jon talks about the developmental biology work he did at the embryology lab at University College London.(10:00) Jon explains why biological data are noisy.(10:58) Jon explains his motivation behind his transition from academia to industry.(15:04) Jon’s advice for Ph.D. students and post-doc researchers who...
2018-08-2053 min
Stats + StoriesR R R R R ... Not Just For Pirates Anymore | Stats + Stories Episode 62Hadley Wickham (@hadleywickham) is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and speaker promoting the use of R for data science ( http://hadley.nz ).>.
2018-08-0226 min
R Radio for the Rest of us.11. パッケージ開発とオープンソースのメンテナンス前回に引き続き、y__mattuとuriboがggplot2パイプ演算子問題やfelpパッケージをはじめとした最近の話題について喋ります
関連リンク
ggplot2 パイプ演算子実装問題
Thanks to a question on https://t.co/fkYCCcgnXm from @dataandme, I did a little write up on why ggplot2 should use the pipe, but unfortunately never will: https://t.co/BD8xpg3f6j #rstats— Hadley Wickham (@hadleywickham) January 29, 2018
ggplot2は+が意味的に正しい！ %>%なんていらない！、というのは俺もそんな風に感じる一人だけど、Hadleyのこのことばがすべてだと思う。 https://t.co/Ny3yhuAwNo— Hiroaki Yutani (@yutannihilation) February 25, 2018
Introducing the ‘ggplot2pipes’ package
ggplot2pipes
パッケージ開発運用・メンテナンスコスト
Pandocに依存しているrmarkdownパッケージの.travis
R packages: Checking after every commit with Travis
Continuous integration for your private R projects with CircleCI
r-docker-tutorial
@nozmaさんの翻訳
データ分析環境の構築にDockerを利用しよう
#017 Dependencies
Glue vs stringr::str_interp
felp
felp: An R package to display source and help of a function simultaneously
関数の中身とヘルプを同時にすぐ見たい(felp me!)
(R) felpパッケージとfelp関数の紹介（と、主に裏側の話）
Fukuoka.R
fukuoka.R #10
Fukuoka.R #10 R introduction
R で友達を助けた話 @y__mattu
リポジトリ
rtweet&rmarkdownで収集フォトギャラリーを作る @kazu
2018-03-2128 min
Datum: Data & TechnologyEpisode 2: Discovery & LearningIn this episode Ravi & Tim dig into a blog Tim wrote a few months back about discovery vs learning. http://tableautim.com/learning-and-discovering-tableau/
Hadley Wickham
Tidy Data: https://vimeo.com/33727555
R Workthrough: https://www.youtube.com/watch?v=go5Au01Jrvs
Feedback welcome on Twitter to Ravi at @scribblr_42 or Tim at @tableautim - or e-mail us, at datumpodcast@gmail.com.
2018-02-0139 min
Podcast Your DataPYD40 – Hadley Wickham – Chief ScientistOn this week's episode, InterWorks Analytics Consultant and Alteryx Ace, Michael Treadwell sits down with Hadley Wickham. As an author, contributor and Chief Scientist at R Studio, Hadley is on the forefront of building better tools for data science. Even if you don't have a background in coding, he's all about getting people up to speed quickly and efficiently. An interest in data is not necessary to enjoy this episode. Sit back, relax and push play on Podcast Your Data! Subscribe to Podcast Your Data through iTunes, Stitcher, Pocket Casts or your favorite podcasting app.
2017-08-2931 minThe PolicyViz PodcastEpisode #82: Rune MadsenThe “open” movement consists of different product types–we all know about open data and open source code, for example. But more and more, we’re seeing open book writing. Last year, Hadley Wickham wrote his book on R in an open platform....
The post Episode #82: Rune Madsen appeared first on PolicyViz.
2017-04-1825 min
Wickham Festival PodcastWickham Festival Podcast_2016_Episode 2Interview highlights from Wickham Festival 2016 featuring Toyah Willcox, Tony Hadley, Bruce Foxton, Rod Clements, Gregor Kincaid and Winters Hill. (Part 2/2)Twitter: @festivalwickhamInstagram: @wickhamfestival
2017-03-0922 min
Wickham Festival PodcastWickham Festival Podcast_2016: Episode 2Interview highlights from Wickham Festival 2016 featuring Toyah Willcox, Tony Hadley, Bruce Foxton, Rod Clements, Gregor Kincaid and Winters Hill. (Part 2/2)
Twitter: @festivalwickham
Instagram: @wickhamfestival
2017-03-0922 minThe PolicyViz PodcastEpisode #69: Hadley WickhamHi everyone! Happy New Year and welcome back to the PolicyViz Podcast! I hope you had a relaxing holiday season. To kick off 2017, I’m excited to welcome Hadley Wickham to the show to talk about his work with the...
The post Episode #69: Hadley Wickham appeared first on PolicyViz.
2017-01-1022 min
Lectures At ReedHadley Wickham: "Data Science with R" AudioTo do data science you need five sets of verbs: import, tidy, transform, visualise, and model. Importantly, you also need a way to connect these tools together so that your analysis flows from one step to another, without you beating your head against the wall. Wickham will discuss the idea of the pipe as it is implemented in R with the magrittr package, covering why the pipe makes code easier to read and how it provides a unifying interface throughout a complete workflow. Join us to learn how pipelines + tidyr, dplyr, ggplot2, and purrr can make data analyses fast, fluent...
2016-10-1200 min
Lectures At ReedHadley Wickham: "Data Science with R"To do data science you need five sets of verbs: import, tidy, transform, visualise, and model. Importantly, you also need a way to connect these tools together so that your analysis flows from one step to another, without you beating your head against the wall. Wickham will discuss the idea of the pipe as it is implemented in R with the magrittr package, covering why the pipe makes code easier to read and how it provides a unifying interface throughout a complete workflow. Join us to learn how pipelines + tidyr, dplyr, ggplot2, and purrr can make data analyses fast, fluent...
2016-10-1000 min
Naturally SpeakingEpisode 41: Conversations with an R JediFEATURED: Our most visited post of 2016 – In this episode of Naturally Speaking Shorts Laurie Baker speaks to R-guru Hadley Wickham, Chief Scientist at RStudio, about his work to make programming and data analysis in the statistical programme R less painful.
2016-06-2220 min
Data SkepticFeatherI'm joined by Wes McKinney (@wesmckinn) and Hadley Wickham (@hadleywickham) on this episode to discuss their joint project Feather. Feather is a file format for storing data frames along with some metadata, to help with interoperability between languages. At the time of recording, libraries are available for R and Python, making it easy for data scientists working in these languages to quickly and effectively share datasets and collaborate.
2016-05-1323 min
The Analytics Power Hour#032: Questions and Answers with Tom MillerWhat is life but a series of questions? Does that question even make any sense? We'll never know, as this wasn't a question that got asked on this episode. Instead, Tom Miller, co-host of the Measured Direction podcast, joined us to give us a taste of the format of his show: user-submitted analytics questions asked and answered on the fly. What do you do when you lose a room of executives 15 minutes into your presentation? What does the future hold for digital analytics? Will we ever be able to measure the impact of TV? Who would win in a...
2016-03-1542 min
The R-PodcastEpisode 18: Episode 18: Interviews with the RStudio TeamThe R-Podcast concludes its series on the Shiny Developer Conference with a jam-packed episode featuring two interviews with members of the RStudio team! In part one I have a panel discussion with JJ Allaire, Jeff Allen, and Hadley Wickham to get their impressions of the conference and some exciting new features in the latest version of the RStudio IDE. In part two I have an extended conversation with Joe Cheng to discuss the origins of Shiny, how the conference came together, and ideas for future enhancements of shiny. All of this and more on episode 18 of the R-Podcast!
2016-02-221h 19
Data Storiesggplot2, R, and data toolmaking with Hadley Wickham
We have Hadley Wickham on the show, Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University and the University of Auckland.
Hadley created a number of hugely popular libraries for the R language, including ggplot2, which is used throughout the world to analyze and present data.
On the show we talk about his creative process to develop ggplot2, its growing popularity, other libraries he has built in the R ecosystem, and strategies for creating popular software for data analysis and visualization.
Enjoy listening to Hadley Wickham, or read t...
2016-02-101h 01Data StoriesAmanda Cox on Working With R, NYT Projects, Favorite Data
“I’d give two of my left fingers for this data” – Amanda Cox on the show
We have the great Amanda Cox from the New York Times on the show this time!
Amanda is a graphic editor at NYT and she is behind many of the amazing data graphics that the New York Times has produced in recent years.
In the show we talk about her background in statistics and how she ended up at the Times. We discuss how she uses R software to collect, analyze, and visualize data, and her thoughts ...
2015-06-251h 08
DataScience.LA PodcastA Conversation with Romain Francois at useR! 2014At the useR! 2014 conference, without a doubt one of the overriding themes was R’s history, legacy, and future as an interface into the “best of the best” algorithms which were available. Romain Francois’ package, Rcpp11, is at the forefront and was explicitly showcased as one of the ways in which R was staying true to it’s roots as an interface.
An R programmer for over a decade, Romain started as an “R first” developer, only later moving to more traditional software engineering languages. In this interview, Romain and I discuss a wide range of topics, from R’s history as an...
2014-09-1722 min
DataScience.LA PodcastA CONVERSATION WITH HADLEY WICKHAM – THE USER! 2014 INTERVIEWHadley Wickham is famous. He’s not Kardashian famous, but walking around useR! and seeing the community’s reaction to him, there’s no question, he’s ‘R famous’. If you have the good fortune to see his talks, tutorials, or sessions in person, you owe it to yourself to do so. He projects depth and wisdom with a booming voice, which combines with a hard-won confidence brought about by years of honing his craft and developing his expertise. He takes as much time as is needed to answer questions, listens to every single bit of feedback and succeeds in making yo...
2014-08-1434 min