A tutorial tailored for kids. teens and beginners to explore the basics of prompt engineering in an engaging, hands-on way
Quickly and easily perform exploratory data analysis (EDA) on your individual data set or compare datasets in R with the Inspectdf function!
See which US states are most excited about Thanksgiving. Explore Google search popularity for the keyword “thanksgiving” using gTrendsR while creating easy US maps in R using the usmap package.
I just released my first open-source package: pelotonR! The package was created to provide users with sample access to Peloton data through R. Learn more at the website: https://lgellis.github.io/pelotonR/
A week full of very easy data gathering and visualization activities to do with your young kids!
A tutorial demonstrating how to create geographical maps in R using ggmap. Technologies include: R, Watson Studio and IBM Cloud.
A few weeks ago, my tweet on the R patchwork package went nerd viral. I analyze the tweet performance and possible impact on the patchwork package downloads. I’ll arrange the resulting graphs with patchwork!
As a bonus, I’ll show y’all how I added an image to the patchwork layout by placing it within a ggplot graph and fixing the coordinates to avoid weird scaling issues.
A step by step approach to breaking down your business problem into a less intimidating data problem.
Which season of the bachelor really was the most dramatic ever? Analyze the relative popularity of the bachelor franchise seasons as measured by their google search traffic using R, gtrendsR, ggplot2, ggimage and gganimate!
Learn how to create an icon map in R with ggmap and ggimage!
A tutorial showing how to highlight a subset of your data in R within the context of the full data set. We review the old school way (ggplot layering) and new school way (gghighlight).
A tutorial to explore the differences between two practices used for set analysis: Venn diagrams and UpSet plots. Tutorial coded in R but similar concepts and packages are available in many tool sets.
A tutorial showing how to create interactive ggplot2 graphs in R with the ploty package.
Create your own 3D Lego masterpieces in R using custom functions and the rayshader package.
A tutorial showing how to create free hosted dashboards using Watson Studio and IBM Cloud.
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?
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.
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.
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 3 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.
Part 2 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.
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.
A tutorial showing how everyone can use Google Data Studio to mobilize their personal analysis. Try it out and share your results!