Create your own 3D Lego masterpieces in R using custom functions and the rayshader package.
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Aiming to ease your RStudio::Conf FOMO by sharing as much R and conference information as possible. The goal is to help everyone feel included, ready to level up their R skills and engage with the community!
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A tutorial showing how to create free hosted dashboards using Watson Studio and IBM Cloud.
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The ggmap tutorial has been updated to address the Google Static Map API service issues.
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Simple exploratory data analysis (EDA) using some very easy one line commands in R.
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Enhance your data storytelling skills by creating display tables with pizazz.
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A tutorial showing how to get started with R in IBM Watson Studio. It provides a free, hosted R environment. What’s not to love?
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An overview of my experience in the NASA Datanaut kickoff session
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An introduction to the Data + Art STEAM project with Forest Hill Junior and Senior Public School in Toronto!
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A fun summertime blog creating LaCroix themed R graphs using LaCroixColoR & Magick animations
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A tutorial demonstrating how to create geographical maps in R using ggmap. Technologies include: R, Watson Studio and IBM Cloud.
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A tutorial demonstrating how to create time based heatmaps in R. Technologies include: R, Watson Studio and IBM Cloud.
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A troubleshooting guide to installing R packages. Covers base R upgrades, different repos, typo-proofing and more!
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A tutorial exploring RAW Graphs; a free tool enabling everyone to create high-end, data science style graphs without the code!
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A look at Google's "Best Apps of 2017" lists. In this tutorial we use screen scraping and a wide variety of visualization techniques. Technologies include: R, Data Science Experience and IBM Cloud.
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Part 4 of 4 in a tutorial showing how to perform end to end predictive analytics to solve your business problem. The tutorial focuses on creating, selecting and implementing predictive models. It uses R notebooks, Data Science Experience and IBM Cloud.
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Part 1 of 4 in a tutorial showing how to perform end to end predictive analytics to solve your business problem. The tutorial uses R notebooks, Data Science Experience and IBM Cloud.
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As predictive analytics takes one step closer to mainstream adoption, we explore the concept in detail and break it down into actionable steps.
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PixieDust allows simple and interactive data analysis right within the output cell of your python notebook.
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