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!
All tagged tutorial
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!
A tutorial showing how to create free hosted dashboards using Watson Studio and IBM Cloud.
The ggmap tutorial has been updated to address the Google Static Map API service issues.
Enhance your data storytelling skills by creating beautiful R display tables with using formattable.
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?
Lower the barriers to productivity by employing a “Select your own adventure” approach to on-boarding your new analytics team members.
Tap into Twitter data and create custom word clouds that will visualize the conversation in an impactful way. Analysis performed with R and the rtweet and wordcloud2 packages.
An introduction to the Data + Art STEAM project with Forest Hill Junior and Senior Public School in Toronto!
A tutorial demonstrating how to create time based heatmaps in R. Technologies include: R, Watson Studio and IBM Cloud.
As a tribute to International Women's Day, I am doing a little analysis on some gender equality among EU countries using #rstats map features and RAWGraphs.io
A tutorial blog reviewing the art of data storytelling and showing how to use Flourish, a platform for storytelling and visualisation
A tutorial exploring RAW Graphs; a free tool enabling everyone to create high-end, data science style graphs without the code!
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.
A fun holiday post exploring a new R visualization package called alluvial
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.
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.
As predictive analytics takes one step closer to mainstream adoption, we explore the concept in detail and break it down into actionable steps.
A tutorial showing how everyone can use Google Data Studio to mobilize their personal analysis. Try it out and share your results!
PixieDust allows simple and interactive data analysis right within the output cell of your python notebook.