2021
The inaugural Data Mishaps Night took place at 7pm CST on Friday, Feb 5th 2021. We had over 250 attendees and 16 presenters participate in a magical night of shared data mistakes and learnings.
2021 Themes
In 2021, we had four main themes for the data mistakes: “The Forest and the Trees”, “Too Good to Be True”, “Unchecked Assumptions” and “The Classics”.
The Forest and the Trees
When we get so lost in the details, that we forget to take a step back and look at the the big picture.
Ghazal Gulati
Data Strategy
@ghazalgulati
Susan VanderPlas
Assistant Professor
@srvanderplas
Daniel Mintz
Outbound PM (former data analyst)
@danielmintz
Gwynn Sturdevant
Post-doctoral Fellow
@nzgwynn
Too Good to Be True
When you’ve solved the problem and are in awe of your own brilliance, but are in for a rude awakening.
Quantitative UX Researcher
@Randy_Au
Senior Data Scientist
@rikturr
Hritvik Pandey
Risk and Finance Model Validation @typicalLurker
Karl Broman
Professor
@kwbroman
Unchecked Assumptions
When you’ve done a brilliant data project, but you missed a fundamental piece of information.
Danielle Oberdier
Founder
@dikayodata
Nick Benthem
Data Engineer
@NickBenthem
Susan Buchman
Statistician
@smb_stats
The Classics
We’ve all been through the classics: NA’s, incorrect joins, strings as factors and a multitude of other “face palm” type errors.
Scar Kelsey
Data Analyst
@Scar_Data
Wendy Grus
Lead Data Analyst
@wgrus
Aaron Horowitz
Chief Data Scientist
@Aaron_Horowitz
Kaelen Medeiros
Data Scientist
@kaelen_medeiros
Data Mishaps Night 