Efective Visualization of Large Multidimensional Datasets

Ever wonder how to visualize data in multiple dimensions?

Here is what one team learned.

To Revisit

To Revisit

Milwaukee Data Science: Making Sense of Data Science via a Metromap & Lightning Talks

This could be the start of something valuable community; can’t wait to see wherever it leads!

Milwaukee Data Science: Next Steps

The purpose of this Meetup is to provide a safe, pleasant, and convenient venue (physical and virtual) to facilitate the growth and nurturing of the Data Science community in Southeastern Wisconsin.

Since Data Science covers the entirety of all human endeavors, this group serves to facilitate dialogue and discussion between all realms of mastery. Strategic advisers, managers, investors, health-care administrators, and quantitative analysts will feel equally at home here, as will mathematicians, statisticians, ecologists, biologists, and social-scientists. All realms of mastery are invited and welcomed to join.

Given the limitless application of technology here, all members of the Information Technology field are welcomed to join. All roles are welcome ranging from technical (developers, architects, system and devops administrators) to project managers and business analysts.

Experts and neophytes with interest in particular languages, environments, frameworks, and technologies have a home here. Be it R, Python, Java, or Octave, there is a place for everyone to learn and share. Our doors are equally open to practitioners applying specific technological offerings for every industry and platform.

With a laid back approach open to all ideas, this group will reflect the contributions and participation of its members, in whatever form time and resources permit.

ProPublica’s Guide to Mechanical Turk

ProPublica’s Guide to Mechanical Turk seems to definitely be worth a read.

The Wealth of Information

A wealth of information creates a poverty of attention.

— Herbert Simon

Via EMR.

Twenty rules for good graphics

It is a great and short read.

Via the same site.

Milwaukee Data Science: Introductions

The purpose of this Meetup is to provide a safe, pleasant, and convenient venue (physical and virtual) to facilitate the growth and nurturing of the Data Science community in Southeastern Wisconsin.

Since Data Science covers the entirety of all human endeavors, this group serves to facilitate dialogue and discussion between all realms of mastery. Strategic advisers, managers, investors, health-care administrators, and quantitative analysts will feel equally at home here, as will mathematicians, statisticians, ecologists, biologists, and social-scientists. All realms of mastery are invited and welcomed to join.

Given the limitless application of technology here, all members of the Information Technology field are welcomed to join. All roles are welcome ranging from technical (developers, architects, system and devops administrators) to project managers and business analysts.

Experts and neophytes with interest in particular languages, environments, frameworks, and technologies have a home here. Be it R, Python, Java, or Octave, there is a place for everyone to learn and share. Our doors are equally open to practitioners applying specific technological offerings for every industry and platform.

With a laid back approach open to all ideas, this group will reflect the contributions and participation of its members, in whatever form time and resources permit.

Key links:

DATA-COPE

DATA-COPE seeks to provide information for research analysts accessing and using administrative data. A key aspect of this mission is resource sharing and curation of quality information that is recommended by our members.

SDMX

1. What is SDMX?

SDMX stands for Statistical Data and Metadata Exchange-the electronic exchange of statistical information. Its goal is to explore e-standards that could allow us to gain efficiency and avoid duplication of effort in our own work and possibly in the work of others in the field of statistical information.