FunDataFriday featuring AI Inclusive. AI Inclusive is a community with the mission of increasing representation and participation of gender minority groups in artificial intelligence.
All in 2021
Teaching Big Data Awareness: Big Data Girl
Discussing the book “Big Data Girl” by Fred Wordie and Santiago Taberna and how to use it to raise Big Data awareness in a classroom setting.
Women in Analytics: Call for Speakers
The Women in Analytics Conference has opened their 2022 call for speakers. Find out what it’s like to be a speaker at this conference and how to apply!
Simple EDA in R with inspectdf
Quickly and easily perform exploratory data analysis (EDA) on your individual data set or compare datasets in R with the Inspectdf function!
10 Great Datasets for Kids
A list of 10 kid-friendly datasets to explore with for your next stem data project!
3 Reasons Why You Should Pre-Sketch Your Data Visualizations
Why performing an early mockup of your data visualization can help increase the speed and successful adoption of your project.
Data Viz Competition: Mother & Daughter Team
An overview of my entry into the WIA data visualization competition with my 8 year old, Pokémon obsessed daughter!
Book Review: Build a Career in Data Science
Discussing the book and complimentary podcast called “Build a Career in Data Science” by Emily Robinson and Jacqueline Nolis.
Website Review: Machine Learning for Kids
“Machine Learning for Kids” is a website that educates children on the subject of Machine learning through hands on play.
R Package Review: Esquisse
A package which enables fast EDA and easy onboarding to ggplot through drag and drop charts
Website Review: Data Asset Exchange
The Data Asset Exchange (DAX) offers easy navigation of open datasets for AI that are ready to use in enterprise AI applications.
Explore Your Dataset in R
Simple exploratory data analysis (EDA) using some very easy one line commands in R.
Package Review: TikTokRmd
A quick tutorial showing how to use the tiktokrmd R package to display TikTok videos in .Rmd files and then serve them up on GitHub pages.
First Inaugural Data Mishaps Night
Join us for Data Mishaps Night on Friday, Feb 5th at 7pm CST.