Can’t We Just Get Along? Making SSRS, Power BI and Excel Play Well Together

Please join me and other 2017 PASS Summit speakers for 24 Hours of PASS: Summit Preview on July 19th and 20th.  24HOP is a series of 60 minute on-line sessions presented back-to-back for 24 hours, from the same professionals who will deliver preconference and main conference sessions during the Summit the first week of November this year.  These online sessions are free of charge and normally attended by thousands of individuals to gain insight and knowledge about the topics.  24 Hours of PASS features free educational webinars delivered over 24 hours. Topics covered in this edition include Performance Tuning, SQL Server 2017, Linux, DevOps, Azure, PowerShell, SSRS, Power BI and much more. Browse all sessions. These webinars provide a sneak peek at some of the best practices, expert tips and demos you’ll find at this year’s PASS Summit in Seattle. Continue reading

Animated Visual: A Day in the Life of Americans

One of the more effective data visualizations I’ve seen in a while, this animated visual is a time-varying Markov chain developed by Nathan Yau of FlowingData.  This is a simulation of 1,000 people’s average day. It’s based on 2014 data from the American Time Use Survey, made way more accessible by the ATUS Extract Builder.

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Real-time Wind, Weather & Climate on Animated Earth Projection

When I got this link in my daily feed from FlowingData this morning, I thought this would just be yet another nifty map graphic but it’s not.  It’s a very sophisticated body of work – not only cool but “earth” is a very sophisticated projection of real-time weather and climate data projected over the entire planet.

Author, Cameron Beccario, describes his work as “a visualization of global weather conditions forecast by supercomputers updated every three hours.  Ocean surface current estimates updated every five days; ocean surface temperatures and anomaly from daily average (1981-2011) updated daily.”  Data is aggregated from NCEP, the National Weather Service & NOAA.  Graphics were created with JavaScript libraries: D3.js, backbone.js and node.js.

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You can see here typhoon Matmo which is moving over Taiwan at the time of this posting.  The menu options allow you to select wind speeds at different elevations, actual and perceived temperatures, clouds, humidity and precipitation.

This is really nice work!

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Cameron shares his work at github.com/cambecc/earth.

Data Visualization – World Cup Team Players & Pro Teams

Check out this data visualization from the New York Times that shows the team make-up of 2014 World Cup teams and the teams these players play for during the regular season.  In many cases, teammates are playing with members of rival teams and players from other countries.  Very interesting!

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shared by FlowingData.com