Publications by Business Science
How to Handle Missing Data
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. Missing values used to drive me nuts… until I learned how to impute them! In 10-minutes, learn how to visualize and impute in R using ggplot dplyr and 3 more packages to simple imputation. Here are the links to get set ...
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Learn How to Write SQL From 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. SQL queries getting you down ????? Let R write SQL queries for you! Here are the links to get set up. ???? Get the Code YouTube Tutorial (Click image to play tutorial) Writing SQL from R We’re going to generate SQL ...
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Should you learn Python or R in 2021?
???? Each month, we release tons of great content on R for Business. Register to get fresh R Tips straight to your inbox. For years Python and R have been pitted as mortal enemies in the world of data science, enticing its practitioners to choose a side and never look back – not anymore. It’s 2021 and it’s time for these two titans to join...
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4 Ways to make Data Frames 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. Data frames (like Excel tables) are the main way for storing, organizing, and analyzing data in R. Here are 4 ways using the tidyverse: tibble, as_tibble(), read_excel(), and enframe()/deframe(). Here are the li...
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Make Awesome Statistical Plots 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. Here are the links to get set up. ???? Get the Code YouTube Tutorial (Click image to play tutorial) Making Statistical Plots Is Easy With ggstatsplot I never thought I’d be able to make publication-ready statistical ...
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Full Feature Engineering Tutorial with Max Kuhn
???? Each month, we release tons of great content on R for Business. Register to get fresh R Tips straight to your inbox. Max Kuhn (the Tidymodels Master) joins Learning Labs webinar for an in-depth tutorial on Feature Engineering for Customer Analytics. Watch Max and Matt tackle a tough feature engineering problem for customer analytics predict...
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Predictive Power Score vs CorrelationFunnel
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. Here are the links to get set up. ???? Get the Code YouTube Tutorial (Click image to play tutorial) Battle of the EDA Packages Exploratory Data Analysis (EDA) is what every data scientist does to understand actionable...
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R is for Research, Python is for Production
👉 Sign Up For More Blog Articles 👈 Both R and Python are great. We’ll showcase some of the strengths of each language in this article by showcasing where the major development efforts are within each ecosystem. R is for Research If I had to describe R in one word, it would be: tidyverse. It has made research tasks – wrangling data, vi...
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Add Shiny to 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. Here are the links to get set up. ? Get the Code YouTube Tutorial (Click image to play tutorial) Powering Rmarkdown Reports with Shiny In this weekly R-Tip, we’re making a “Customer Churn Report” that uses both ...
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5 Reasons You Should Learn Shiny
👉 Sign Up For More Blog Articles 👈 Many data scientists struggle with distributing their work. However, you can make that a problem of the past thanks to Shiny. The Shiny app is gold for Data Scientists. Here are five reasons you should learn Shiny and why it is a game-changer for upskilling your career. As a companion to this article, we ...
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