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!
Read MoreA tutorial showing how to create free hosted dashboards using Watson Studio and IBM Cloud.
Read MoreThe ggmap tutorial has been updated to address the Google Static Map API service issues.
Read MoreSimple exploratory data analysis (EDA) using some very easy one line commands in R.
Read MoreEnhance your data storytelling skills by creating display tables with pizazz.
Read MoreA tutorial showing how to get started with R in IBM Watson Studio. It provides a free, hosted R environment. What’s not to love?
Read MoreAn overview of my experience in the NASA Datanaut kickoff session
Read MoreAn introduction to the Data + Art STEAM project with Forest Hill Junior and Senior Public School in Toronto!
Read MoreA fun summertime blog creating LaCroix themed R graphs using LaCroixColoR & Magick animations
Read MoreA tutorial demonstrating how to create geographical maps in R using ggmap. Technologies include: R, Watson Studio and IBM Cloud.
Read MoreA tutorial demonstrating how to create time based heatmaps in R. Technologies include: R, Watson Studio and IBM Cloud.
Read MoreA troubleshooting guide to installing R packages. Covers base R upgrades, different repos, typo-proofing and more!
Read MoreA tutorial exploring RAW Graphs; a free tool enabling everyone to create high-end, data science style graphs without the code!
Read MoreA 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.
Read MorePart 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.
Read MorePart 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.
Read MoreAs predictive analytics takes one step closer to mainstream adoption, we explore the concept in detail and break it down into actionable steps.
Read MorePixieDust allows simple and interactive data analysis right within the output cell of your python notebook.
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