Christopher Laubenthal

This image shows a virtual mentorship meeting between two individuals. The main focus is on a man wearing headphones and glasses, smiling warmly while holding a mug with both hands. In the bottom right corner, a smaller video frame shows a woman, his mentee, with her eyes closed and a slight smile on her face, engaged in the conversation. The atmosphere seems relaxed and friendly, suggesting a positive and comfortable mentoring relationship.S
Christopher Laubenthal

Schools of Thought: The DVS Mentorship Program

Friendship can feel effortless as a child. Yet as we step into adulthood, human connection becomes more difficult. Given the plethora of articles on this..
Collected search results from the Kaggle data website showing 361,880 datasets .A
Christopher Laubenthal

AUGH! WHY IS THIS DIFFICULT? Picking a Dataset to Viz

“If you give a donkey two servings of food, equidistant apart and of equal quality, then the animal starves.” This was a saying I heard..
A large dashboard full of enemies from the video game Super Mario Brothers in a straight line across the bottom. The center involves two charts that display the levels of various enemies in each world of the game.H
Christopher Laubenthal

Hidden Design: The Notes We Don’t Play

The complexity tooltips provide design has always held my attention. Tooltips are about the audience responding to our work! They allow us the opportunity to make certain information accessible indirectly, only discoverable if certain actions are taken.
100 or so people, most with backpacks, enter a large conference space simultaneously through industrial doors. The text above the doors reads, 'Keynote.'" Comment, "Tableau Conference is large and you feel it most in moments of conference-wide learning. This is a picture of everyone heading in for the keynote presentation.#
Christopher Laubenthal

#TC2024: Viz with 9,000+ People

This year I was able to book a ticket to in-person to this influential, data visualization event. What unfolded over the course of three days included deeply helpful insights, some awkward inaccessibility, and the event’s EMT staff.
A column chart covering years 2018 to 2024 with each year's number increasing. On top of that is a line chart that is measuring the cumulative total of the column chart. In both charts low totals are in grey and large totals in green.R
Christopher Laubenthal

Rapid Fire: Scaling a Portfolio with Design Components

There are many ways that can speed your development cycle from data cleanliness to clarity of your user’s needs. My efficiency lay in the use of component-driven design.
Portions of four, different data visualizations stitched together each with different topics, styles, and backgrounds.S
Christopher Laubenthal

Stop Trying to Prove Yourself with a Viz

Every data visualization job that I have held has included introducing my work to teammates and then feeling like I have to impress them.
A landscape oriented, digital interface with several filters that maps the Free or Reduced Lunch status of public schools found in Kansas and Missouri.I
Christopher Laubenthal

Internal Design: Success Requires Form and Function

My journey with EdWise and the Career Explorer Tools taught me about generating change using innovative data visualization within an organization.
An over-the-shoulder view of a woman reviewing newspaper job advertisements.W
Christopher Laubenthal

What Data Job Descriptions Tell Us

Explore the nuances of data job descriptions: Learn to read between the lines and understand what's truly being offered in the data field.
An old, brown brick building on a college campus with a steel gate that is half opened.W
Christopher Laubenthal

Why One Person Can’t Do Everything In Data

No one person can perform every data-related task in an organization. Here's a way to explain role classification by skill set.
Photo of a heron in water, catching fish with its beak.T
Christopher Laubenthal

This Analogy Explains How People Can Access Your Insights

Analogies can effectively explain complex topics in our field. The “fish in the pond" analogy shows ways to make insights more accessible.