Publications by Business Science
Super-FAST EDA in R with DataExplorer
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Did you know most Data Scientists spend 80% of their time just trying to understand and prepare data for analysis?! This process is called Exploratory Data Analysis (EDA). R has an Insane EDA productivity-enhancer. It�...
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Super-FAST EDA in R with DataExplorer
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Did you know most Data Scientists spend 80% of their time just trying to understand and prepare data for analysis?! This process is called Exploratory Data Analysis (EDA). R has an Insane EDA productivity-enhancer. It�...
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Hierarchical Time Series Forecasting [Full Code Tutorial]
👉 Sign Up For More Blog Articles 👈 Hierarchical Forecasting Tutorial In Learning Labs PRO Episode 50, Matt tackles an in-depth tutorial on Hierarchical Forecasting using the M5 Forecasting Competition. Learn about Hierarchical Forecasting with Tidymodels! In this 1.5-hour video, learn: ✅ Business Problem: Hierarchical Forecasting ✅ ...
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Assess Your DATA QUALITY in R
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Skimr is my go-to R package for fast data quality assessment, and Skimr is my first step in exploratory data analysis. Before I do anything else, I check data quality with skimr. Here are the links to get set up. ???? Ge...
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Introducing Modeltime H2O: Automatic Forecasting with H2O AutoML
I’m beyond excited to introduce modeltime.h2o, the time series forecasting package that integrates H2O AutoML (Automatic Machine Learning) as a Modeltime Forecasting Backend. This tutorial (view the original article here) introduces our new R Package, Modeltime H2O. We’ll quickly introduce you to the growing modeltime ecosystem. Then, we’l...
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A Gentle Introduction to R Shiny
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. What if you could turn your #datascience analysis into a web application? You can do EXACTLY that with R Shiny. R Shiny is an amazing framework built to convert your data analysis into a web app – FAST! Create ...
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Build GGPLOT Code with Tableau Drag-and-Drop (R esquisse)
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Tableau-users rejoice! The esquisse R package is here to make you life much easier – make ggplot2 plot code using a drag-and-drop Tableau interface. Here’s what you need to do: Here are the links to get set up. ...
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Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Let’s make a professional business report in 5 minutes in HTML and PDF formats, and incorporates your data analysis in R. Reporting used to take me much longer and is now faster with the new Rmarkdown Visual Edito...
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Enhance Your Storytelling – Interactive Slide Decks with Rmarkdown
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Slide Decks are so important for storytelling in business. We can use Rmarkdown to tell our story with engaging interactivity thanks to the xaringan library. Here’s how to make PowerPoint-style Slide Presentations that ...
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Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags
I’m super excited to introduce modeltime::recursive(), the new autoregressive forecast solution that allows you to convert any tidymodels regression algorithm into an autoregressive forecasting algorithm. Think of Recursive as a Lag Management Tool. The new Autoregressive Machine Learning (AR-ML) Forecasting Solution handles lags for one or mor...
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