Powerful Data Analytics & Visualization Tools

#artificialintelligence

A new decade offers a natural inflection point for business transformation and advancement. With innovation and related disruption accelerating, organizations no longer have time to wait to see what change brings. Instead they must embrace it and invest in it. As businesses face a 2020 reality check and use this year to hone their strategy for the next decade, MicroStrategy has compiled insights from leading influencers in business intelligence, data analytics, and digital transformation on top enterprise analytics trends.


Introduction to Altair - A Declarative Visualization Library in Python

@machinelearnbot

Visualization is one of the most exciting parts of data science. Plotting huge amounts of data to unveil underlying relationships has its own fun.


Thinking Outside of the Visualization Box

@machinelearnbot

There's still time to secure a place at the Data Visualization Summit, which returns to the Westin Copley Place in Boston in just 4 weeks time, on September 25 & 26. This event will bring together the leading data visualization experts for an exploration of the tools, trends and technologies that are shaping the future of this diverse discipline. In addition to keynote presentations, workshops, panels and countless networking opportunities, we've also launched our first Data Visualization Poster Competition. For a chance to showcase your skills, ideas and understanding to an executive led audience of data visualization gurus (and win great prizes), submit a visualization that presents data in a digestible way by Tuesday, September 9. For a sneak-peak of what to expect at the summit, check out a presentation from the Senior Data Scientist at Jawbone, 'Dream a Little Bigger'.


Fast and slow visualization

@machinelearnbot

This breakneck pace is a real data visualization constraint. It's not a myth that charts are often deployed in rooms full of people who only have a short time to comprehend them (or not) and make a decision. Automatic views into datasources are a critical aspect of exploratory data analysis and health checks. The fast mode of data visualization is real and important, but when we let it become our only view into what data visualization is, we limit ourselves in planning for how to build, support and design data visualization. We limit not only data visualization creators but also data visualization readers.