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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

Depict Data Studio

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

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What is DataOps? Principles and Benefits

Octopai

Your dashboards, charts, visualizations… they’re all products. . Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected?

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Visualization's Twisted Path

Darkhorse

Visualization is not a straight path from vision to reality. To start, we simply put a single year’s (2014) migration data on the map. But, seeing one visualization regularly leads to ideas about another. We get that sense of motion for geographically close states, but the visual doesn’t match our mental model of migration.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014). Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. layer-wise relevance propagation), model distillation (e.g.

Modeling 139
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Celebrating 10 Years of Dataviz YouTubing!

Depict Data Studio

Can I hire you to help me prep for the Excel tests that I’ll have to take as part of the hiring process?” By 2014, thanks to blogging and YouTubing, there was so much demand for my dataviz training that I left the corporate world and started my own company. I didn’t create the test!! “I loved your talk!”

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What Is DataOps? Definition, Principles, and Benefits

Alation

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. Automated testing to ensure data quality. Over the past 5 years, there has been a steady increase in interest in DataOps. Source: Google Trends. Easy-to-experiment data development environment.