TidyX Episode 186: Gapminder Camcorder - Be Kind Rewind Code Explanation In this episode, we start a series explaining the examples Ellis showed from his "Be Kind, Rewind" talk at posit::conf(2024). First up, we jump into creating a captivating animated visualization of the Gapminder dataset using R and the {camcorder} package. We break down the code step-by-step, from setting up the animation recording to customizing the plot aesthetics. Learn how to generate smooth and informative animations that tell a compelling story about global trends in GDP per capita and life expectancy. Join us for an episode that will have your simulations running at the speed of light! ️ Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/186-Gapminder_Camcorder

TidyX Episode 185: Independence Days with {purrr} Using Wikipedia's list of independence days, we'll show you have to use some advanced {purrr} to work with the data, construct new functions, and work with extracted data from webpages to transform it into usable formats. We aim to answer the amusing quip that every 4 days a country celebrates its independence from the UK with this dataset! Join us for an episode that will have your simulations running at the speed of light! ️ Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/185-global_independence_days

TidyX Episode 184: Hello Kitty: Intro to {purrr} This intro highlights purrr's core functionalities and different ways to write the functions, from named to anonymous functions, keeping types consistent, or even applying functions to filter and pull out contents from lists. Learn the basics to understand how we can apply these techniques to more complicated structures! Join us for an episode that will have your simulations running at the speed of light! ️ Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/184-Hello_Kitty

TidyX Episode 183: Within-group regression using {purrr} Unleash the power of {purrr} to perform within-group regressions! This episode we'll explore fitting separate linear models for different groups in your data, using the Palmer Penguins dataset as an example. Using map(), we'll quickly build models, extract key statistics, and visualize how groups differ. Join us to start the journey on master this great package and become a {purrr}fect data scientist! Join us for an episode that will have your simulations running at the speed of light! ️ Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/183-Within_group_purrr

TidyX Episode 182: Turbocharge Your Simulations with Parallel Processing! ⚡️ Ever feel like your simulations take forever to run? This TidyX episode injects a dose of speed with parallel processing using the snowfall package! We'll revisit nested for loops for simulation, then supercharge them to run across multiple cores. Learn how to run simulations in parallel for faster results using the snowfall package, and combine and analyze simulation outputs for deeper insights. Join us for an episode that will have your simulations running at the speed of light! ️ Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/182-Parallel_Sim

TidyX Episode 181: I Likert Coffee Calling all coffee lovers! ☕️ This episode of TidyX gets to the grounds of coffee expertise with a TidyTuesday survey. We'll brew up some data analysis to see if age affects how people rate their coffee knowledge. Get ready for Likert scales, wrangling data, and statistical throwdowns to see which age group claims coffee crown! Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/181-I_Likert_Coffee

TidyX Episode 180: How much stuff have we sent to Space? Ever wondered how much stuff has rocketed into space? This episode we do a 180 and look at how we started TidyX by looking at a TidyTuesday dataset to explore objects launched into space! We'll learn how to wrangle the data, calculate launch counts by year, and create visualizations with ggplot2. Plus, we'll discover a cool trick for faceting plots with independent y-axes, and finally show a fun way to interact with facets using the trelliscopejs package. Join us for a stellar exploration of space exploration data! Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/180-Going_to_Space

TidyX Episode 179: How many SpaghettiOs does it take to write LOTR? we embark on a hilarious journey to answer the age-old question: how many SpaghettiOs would it take to write a whole book? Inspired by abstract_tyler's instagram reel (https://www.instagram.com/p/C6hUeRVp24H/), the we use the power of R to find out! Prepare for some serious spaghetti-fueled fun as we delve into the world of R for data wrangling. We'll tackle skills like joining data sets, calculating frequencies, and writing functions to automate the analysis. Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/179-How_many_spaghettios

TidyX Episode 178: Player Time Chart - FIBA API Part 2 In this follow-up to Episode 177, we dive deeper into the intricacies of FIBA basketball game data. Building upon our previous exploration, we refine our methods to generate insightful player time charts. Join us as we unravel the complexities of lineup analysis and visualize player dynamics over the course of a game. Get ready for another insightful episode of TidyX!" Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/178-Whos_Next_FIBA_API_Plotting

TidyX Episode 177: Who's Next? FIBA API Viewer Question We tackle a real-world challenge brought to us by our viewer, Cohen MacDonald. Coehn found an undocumented API that has a bunch of game data from FIBA and has some great ideas on what to do with it. However, theres one problem: the dataset does not contain which players are on the court at what time, just who subs in or out. With an intriguing problem statement and example code from Cohen in hand, we delve into the intricacies of FIBA basketball game data. See how we harness the power of for loops to iteratively update values, addressing Cohen's query on player substitutions and lineup analysis. Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/177-Whos_Next_FIBA_API

TidyX Episode 176: Are you sure? In this episode, we're comparing pitchers using the power of Random Forests and bayesian statistics to make comparisons between pitchers likelihood of making it into the Hall of Fame! We show how to make simple simulations of individual player performance and differences, and finally make a function to let you easily compare players. Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/176-Are_you_sure

TidyX Episode 175: Random Strike Zone Forest: Tidyverse Takes on Hall of Fame Hurlers We explored the world of data modeling using Tidyverse and Purrr to predict the next MLB Hall of Fame pitchers. Stay tuned for some fascinating insights into our modeling process! We use the same datasets as we have the last several weeks, and apply logic and code to create, evaluate, and tune our models. Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/175-Pitchers_HOF_in_20_Random_Forest

TidyX Episode 174: AI Speed Ball: Predicting the 2024 Pitcher HOF Class in 20 Minutes We're bringing the heat with AI! Join us as we step up to the plate and predict the next MLB Hall of Fame pitchers using the power of TensorFlow and Keras. With a killer convolutional neural network in our arsenal, we're ready to knock it out of the park! We go over normalization techniques, how to set up your model, and use it to predict who should be in and who will be out! Don't miss this action-packed inning! Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/174-Pitchers_HOF_in_20_with_AI

TidyX Episode 173: Pitch into the Bayes - "20" minute MLB Hall of Fame Pitchers predictions Step up to the mound in TidyX Episode 173 as we predict MLB Hall of Fame pitchers using the power of Bayesian models! Join us as we switch up our game plan, leaving no curveball unturned with rstanarm. We inspect the models and results with prediction intervals and probabilities, bringing a new dimension to player forecasts! We show how to apply this to new players, from randomly selected to a Seattle Favorite - King Felix. Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/173-Pitcher_HOF_in_20_with_bayes

TidyX Episode 172: 20 minutes to Predict MLB HOF Pitchers - Class of 2024 Join us as we look into the numbers behind predicting MLB Hall of Fame pitchers! This episode includes crafting a dataset from the {Lahman} package, creating logistic regression models, and finally assessing them via model summary tools and visualizing techniques. Stay tuned for insights and adjustments as we navigate the challenges of forecasting HOF greatness! Like, Subscribe, and find us on social media! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at tidy.explained@gmail.com. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/172-Pitcher_HOF_in_20