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 55 Episodes.
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Issue 2023-W11 Highlights
March 15th, 2023 | 36 mins 45 secs
The future of running R in your web browser is here with webR 0.1, a demonstration of integrating Quarto and webR with immense potential in the space of reproducible analysis, and two fundamental techniques from the world of software development tailored to non-programmers.
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Issue 2023-W10 Highlights
March 10th, 2023 | 34 mins 43 secs
A episode full of discovery in this week's edition of R-Weekly Highlights! How you can parse your own R code with parse and getParseData, a closer look at the search capabilities in R-Universe, and a look back at the key milestones in the history of the R language.
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Issue 2023-W09 Highlights
March 1st, 2023 | 36 mins 10 secs
How to easily create interactive versions of your favorite ggplots with ggiraph, bringing AutoML to R with forester, and a head-to-head comparison of R and Excel for common data wrangling and summaries.
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Issue 2023-W08 Highlights
February 22nd, 2023 | 37 mins 49 secs
The current state and future of {rtweet}, bringing the best of testing and CI/CD in a statistical package, and navigating through a Shiny maze (literally).
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Issue 2023-W07 Highlights
February 15th, 2023 | 38 mins 28 secs
A glimpse into the day-to-day of maintaining an R package, exploring gender effects in art history data with the power of resampling, and a huge win for accessible SVG plots with R-Markdown.
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Issue 2023-W06 Highlights
February 8th, 2023 | 34 mins 56 secs
Just how far back can we turn back time with an R installation, many enhancements to joining data sets in dplyr 1.1.0, and a retrospective on the 2022 thirty-day map challenge.
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Issue 2023-W05 Highlights
February 1st, 2023 | 37 mins 26 secs
How you can make R package testing a little easier with switches, how the combination of group processing and compute resources can level up geospatial data processing, and a few quick wins to improve the responsiveness of your Shiny apps that got your podcast hosts to think hard about previous design choices!
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Issue 2023-W03 Highlights
January 25th, 2023 | 31 mins 12 secs
A large helping of football data for your analytics with the englishfootball package, building a Shiny application with both R and python, and a first look at upcoming conferences this year.
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Issue 2023-W02 Highlights
January 19th, 2023 | 34 mins 5 secs
A glimpse into the world of end-to-end Shiny app testing with shinytest2, and an important look at the spectrum of reproducibility within R using container technology and services.
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Issue 2023-W01 Highlights
January 11th, 2023 | 29 mins 2 secs
A big progress updates in the latest {knitr} development release (literally), how the {litr} package enables literate programming development for R packages, and how you can translate Morse code directly in R with the {remorse} package!
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Issue 2022-W52 Highlights
January 6th, 2023 | 49 mins 31 secs
Our first episode of 2023 covers the brand-new gpttools package to called chatGPT directly in R, a wholistic look at MLOps with the latest tidymodels tooling, and a spotlight on the lesser-known quantile regression. Plus listener feedback and much more!
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Issue 2022-W50 Highlights
December 14th, 2022 | 35 mins 10 secs
Data munging and visualization of your Twitter archive with R, a successful Shiny app submission to the FDA, and scoring Rock Paper Scissors.
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Issue 2022-W49 Highlights
December 8th, 2022 | 33 mins 36 secs
Big new features coming in {dplyr} 1.1.0, how you can make your own #rstats wrapped, and enhancing your Shiny apps with JavaScript (without knowing much JS). Plus your feedback and more!
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Issue 2022-W48 Highlights
December 1st, 2022 | 28 mins 25 secs
A new approach to adding package tests with {doctest}, scraping data from dynamic web pages with {RSelenium}, and a simple checklist to power up your next bar chart.
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Issue 2022-W47 Highlights
November 23rd, 2022 | 31 mins 14 secs
Reshaping your R function syntax with {codegrip}, ways you can apply DRY principles to R package development, and a new online book teaching you how to create beautiful tables in R with {gt}
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Issue 2022-W46 Highlights
November 16th, 2022 | 41 mins 9 secs
A major achievement unlocked! In episode 100 of RWeekly Highlights: The new {rtoot} package for collecting and analyzing Mastodon data, using the {unheadr} package to fix broken and irregular column headers, a tour of the apply functions in base R, and creating posters of NBA rosters with R and ImageMagick.