Data Blog - Fisher Insights - Visualization and User Experience

Hyperparam is a great way to rapidly clean and transform a large dataset.

Basking in 68 degrees at 68 degrees.

The last few entries in this blog introduced the concept of “genre” as a way to frame visualization.

In the last few blog entries, I’ve talked about a few major genres of visualization — exploration, presentation, and monitoring.

We’ve talked about exploration — learning new things about your data; and we’ve talked about presentation — teaching other people things about data.

In the last entries, I introduced three genres of visualizations.

In the last entry, I introduced three genres of visualization —presentation, exploration, and monitoring.

Forgive me: this is a bit of a rant.

In my last entry, I talked about how I used “Capability Maturity Models” to better make sense of interview results.

Ever spent hours talking to users, only to end up feeling you've got nothing but a bigger pile of information?

Have you ever wrapped up a user interview feeling like you didn't really learn what you needed?

In my entry on “Measure, Design, Build,” I talked about the prototyping process: how we get from data, users, and an interesting problem into a workable prototype.

My passion is helping users make sense of data - at every stage from ingestion and processing, through analysis, and (especially) exploration and visualization.

This blog entry continues my discussion of Designing With Data.

It happened again, just a few weeks ago.