Andrew Montalenti Funny you mention this. I think email is underrated. I've set up visu.ai to email results. Ie. Instead of waiting in front of the computer, it'll email me concise explanatory reports. Spend a few minutes feeding it data, hit a button then walk away and work on other stuff.

Last month, while waiting on the train, I was playing around with the Data Visualization Society 2019 survey data, using visu.ai - mostly in regards to diagnostic plots while building models, more than explanatory or exploratory. Then I moved on to other things. But I thought I'd share:

Data Visualization Society visu.ai In these diagnostic plots while building a model on "what is your yearly pay", found an interesting relation: negative correlation between yearly pay & "my skills hold me back much more than my tools do". Lesson: focus on upping your skills #dataviz #infoviz Data Visualization Society

"At one time we had to advocate for the use of Python in businesses and prompt them to engage with the the SciPy/PyData ecosystem. Now Python data science is one of the most in-demand IT skills across every industry." And also, congratulations, Peter Wang 🦋

The Dion Research Blog: What grade of data are you using? blog.dionresearch.com/2019/12/what-g…

The challenge is that there is an embarrassment of riches. For software dev, I know what I'll use for visu.ai & for consulting, so I avoid those, as I'll have plenty of practice through the year. Hence I will look at what I know little of, & probably be useful in the future.

I'll talk about and demo visu.ai Dion Research LLC #dataquality #datascience #anomaly #risk #prediction at Tech Slam in Winston Salem #wsnc, Feb 4th startupgrind.com/events/details…

Sarah Catanzaro Why not both? visu.ai is a dashboard, but you can drag and drop notebooks and they become part of the visualizations, reports etc. You can also get clean data back in a Project Jupyter notebook or export to an #rstats session.

And that's not even covering the prediction part, visu.ai build models for you and you can publish them at the click of a button... #datascience simplified

Eric Schles Will Kurt Encountered that problem some years back. stability is one of the metrics I track in EDA, in modeling, in pipelines and once deployed, on the incoming data, based on feature and granularity. Implemented in visu.ai See other metrics: x.com/f_dion/status/…

That's why Data Quality is important. visu.ai

As we are completing version 3.2 of visu.ai (now with a centralized customized meta data catalog) we are already hard at work on v4.0 with more ways 2 make sure data, transforms & models are fair, reducing risk & exposure to litigation. #fintech #risk #dataquality

The Dion Research Blog: The 10 colors of Pi (visualizations for the color impaired ... blog.dionresearch.com/2020/07/the-10…

Pivot tables in dashboards just got easier

Excel works, until it doesn't. With scheduled checks, visu.ai (visu.ai) would have caught this issue (spelled out, in this case), and many more. Data quality matters. Get in touch to learn more. #datamanagement #d…lnkd.in/dTQ882H lnkd.in/dHTSgTf

Version 4.0 of visu.ai has been released. Our platform is feature complete for #datascience and #dataaudits and is the last release for 2020.

Nicolas Kruchten I'll be looking at it next week. I see a few tests are currently failing, not including extra issues with latest matplotlib

From John Tukey "Exploratory Data Analysis" . Talking about the 4 color Bic pen. In the 1970s. The pen is still around, and so is EDA #datascience #statistics #EDA #visualization #tukey #pens #writing #books