Mike Thomas is Chief Data Scientist at Ketchbrook Analytics, with background in credit risk modeling, regression & time series forecasting, machine learning, recommendation engines, and natural language processing. In addition, Mike has extensive data visualization experience across a variety of software products and technologies. Passionate about reproducibility and following healthy software development practices in data science.
Mike Thomas has hosted 64 Episodes.
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Issue 2022-W36 Highlights
September 8th, 2022 | 29 mins 55 secs
Using base R to decrypt an Australian coin's hidden messages, the Palmer Penguins data set achieves another milestone, and visualizing multiple statistcal properties with faded raincloud plots.
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Issue 2022-W35 Highlights
August 31st, 2022 | 25 mins 16 secs
Using hierarchical forecasting to explore subway fare recovery, and how you can learn more about {gtsummary} to create your next publication-quality table within R.
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Issue 2022-W34 Highlights
August 24th, 2022 | 35 mins 26 secs
The rstudio::conf(2022) presentation recordings are now available for viewing, and we learn about the unique development journey of the new CRAN release of the countdown package.
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Issue 2022-W33 Highlights
August 17th, 2022 | 35 mins 6 secs
Avoid repeating yourself by using dplyr's across function, going inside the process of creating a custom theme in ggplot2, and a few keyboard-centric tricks to manage your RStudio pane viewing.
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Issue 2022-W32 Highlights
August 10th, 2022 | 24 mins 51 secs
A wealth of R content from the UseR! 2022 conference is now available, focusing on accessibility in the diffify tool, and a great recap of rstudio::conf(2022) from TidyX.
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Issue 2022-W31 Highlights
August 4th, 2022 | 30 mins 23 secs
RStudio re-brands as Posit, the shinytest2 package continues to make waves in the Shiny community, and more Quarto tips to boost your workflow.
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Issue 2022-W28 Highlights
July 15th, 2022 | 31 mins 19 secs
Another great use case for Docker containers with interactive R-Markdown reports, a recap of RStudio's presence at the Appsilon Shiny conference, and building an interactive point-and-click game with Shiny.
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Issue 2022-W27 Highlights
July 13th, 2022 | 37 mins 1 sec
Advice on building Docker containers for Shiny applications, an R-centric tutorial on fundamentals with shell, and tips on evaluating GitHub activity for contributors.
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Issue 2022-W26 Highlights
June 29th, 2022 | 32 mins 26 secs
Flexing new table-creation capabilities in the latest flextable update, how less is more with Shiny application processing, and the RainbowR community shines once again.
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Issue 2022-W25 Highlights
June 22nd, 2022 | 25 mins 46 secs
Previewing the upcoming rstudio::conf, why you should (or shouldn't) build an API client package, and monitoring Shiny application usage with Hotjar.
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Issue 2022-W24 Highlights
June 15th, 2022 | 22 mins 37 secs
Many improvements to {gt} version 0.6, and creating flow charts effeciently with {ggplot2}.
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Issue 2022-W23 Highlights
June 8th, 2022 | 30 mins 9 secs
Creating user interfaces in R with a vintage toolkit, and a candid take on learning R with the right perspectives in mind.
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Issue 2022-W22 Highlights
June 1st, 2022 | 21 mins 41 secs
Annotated screencasts of David Robinson's Tidy Tuesday analyses, and the second edition of Deep Learning with R is on the way.
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Issue 2022-W21 Highlights
May 25th, 2022 | 35 mins 10 secs
Amazing software development resources for data scientists, community-contributed R markdown tips & tricks to save you time, and combining GitHub gists and Carbon screenshots with gistillery.
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Issue 2022-W20 Highlights
May 19th, 2022 | 28 mins 44 secs
A preview of R for Data Science (2nd edition) with missing data, creating topography maps, and (yes) playing the drums directly in R.
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Issue 2022-W19 Highlights
May 11th, 2022 | 26 mins 16 secs
A dungeon-crawler for your R console, storytelling in ggplot2 with rounded rectangles, and updates to the tidymodels recipes suite of packages.