Maienschein Mandates Machine Readability

Posted by on Apr 9, 2015 in News | 0 comments

Finally, our legislators are getting below the surface of the Open Data issue and addressing one of the deeper plains: Open Data is nearly useless when it is delivered in PDF. To address this problem, our very own Brian Maienschein (well, the inland “us” ) has introduced AB 169, which mandates that when agencies publish open data, it is published in a machine readable format.

Yea! One prayer answered! If you are in district 77, send Maienschein some love, if not, tell your assembly person to get with the program.

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2015 Data Contest Winners

Posted by on Mar 12, 2015 in Analysis, News | 0 comments

We completed our 2015 Data Contest with final presentations and winners at the awards ceremony on Tuesday. Here are the winners and their presentations:

  1. UCSD MAS Data Science, Time and Space Analysis of Food Distribution
  2. irHacker, California Suspensions
  3. Flash and Shadow, A Visual Geographical Study on Location, Availability, Public Transportations and Crime Exposure
  4. A Mathematical Modeling Team, Are Some Teachers Just “Meaner” than Others?

We also have two Honorable Mentions:

Thank you all for participating! The submissions were very valuable for the non-profits that were involved, and we’re looking forward to the contest next year.  Until then, if you’d like to get involved in other nonprofit data analysis projects, join the Practical Data Program for announcements about upcoming projects.

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Data Contest Submissions

Posted by on Mar 10, 2015 in Analysis | 0 comments

We completed the 2015 SDSU Data Contest on Saturday, with a fantastic collection of excellent submissions. The Judges are reviewing them now, but until you learn the winners at the Awards Ceremony on Tuesday, you can see all of the submissions here.

Everyone is welcome at the Awards Ceremony, so follow the link to register.

UCSD MAS Data Science

LanguageExploration

Flash and Shadow

Data*

irHacker

DS3

UCSD / SDSU Alliance

Team IQ

Kearny Komets

A Mathematical Modeling Team

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Data Contest Links

Posted by on Feb 27, 2015 in News | 0 comments

The SDSU Data Contest Kickoff is tomorrow! Better register if you haven’t already. Here are all of the last minute details.

Time and Location:

Before:

Bring:

  • Laptop

Staff Contacts:

Also, Our Twitter hashtag is #sddc15

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Prepare Your Data Contest Toolkit

Posted by on Feb 20, 2015 in News | 0 comments

To get ready for the Data Contest, you’ll want to ensure that your laptop already has installed on it all of the tools you’ll need. There is a set of tools that we use in most of our programs, and it will serve as a good base for your contest toolkit. These tools are:

Additionally, we frequently use Sqlite files for data storage and to sort and search thorough data using SQL. Sqlite is already installed almost everywhere, but you may want to get a Sqlite GUI to make it more like working with a spreadsheet.

If you’d like to get a visual introduction to these tools, we’ll be running Google Hangouts to demo the tools. Signup and get contact information for these sessions at our Meetup Page. 

This same set of tools will serve you well if you come to the full day data conference that the Python Meetup group is hosting, starting at 8:30 on the same day as the Contest. Come early, learn some useful skills, and put them to the test in the afternoon. Visit the Data Science FunConference registration page for details and to get a free ticket.

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Data Contest in 10 Days!

Posted by on Feb 18, 2015 in News | 0 comments

The SDSU / Data Library Data Contest has teamed up with UCSD, Python User Group and several Data Science User’s groups to now offer a full day event with two morning tutorials (R and Python) a mid-day exhibition with many Data Science projects and software demos, an afternoon Machine Learning challenge and the kick off to the SDSU / Data Library Data Contest. Visit the signup page to join the contest, learn more about data science, and have a chance to win part of the $2,100 in prizes. Visit the Conference Eventbright page to register for the conference. 

 

 

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