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.
We completed our 2015 Data Contest with final presentations and winners at the awards ceremony on Tuesday. Here are the winners and their presentations:
- UCSD MAS Data Science, Time and Space Analysis of Food Distribution
- irHacker, California Suspensions
- Flash and Shadow, A Visual Geographical Study on Location, Availability, Public Transportations and Crime Exposure
- A Mathematical Modeling Team, Are Some Teachers Just “Meaner” than Others?
We also have two Honorable Mentions:
- Kearny Komets, CELDT and English Language Arts
- DS3, An Analysis of the Methods of Discipline at Monarch
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.
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
Flash and Shadow
- Other: KML Fiel for Drawing on Google Maps
- Other: Interactive Map for Different Types of Crimes and food Bank Locations
- Other: Interactive Map For Food Bank Locations, Income Level, Crime and Transit
- Other: Interactive Map for Food Bank Hours
- IPython Notebook: iPython Notebook for Zip Code and Income Data
- IPython Notebook: Python Notebook for Operating Hours of Food Banks
- IPython Notebook: Python Notebook for Partner Locations
- IPython Notebook: iPython Notebook for SDSFA Sites
- IPython Notebook: iPython Notebook for Crime Data
UCSD / SDSU Alliance
A Mathematical Modeling Team
Here is the schedule for the data contest hangouts this week. The next one is Monday at noon, and will present tips on accessing data from the Ambry databases. We’ll be broadcasting these events via Hangouts on Air. Visit our Google+ Page to attend the...read more
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: Petersen Gym, SDSU, Room 153, 1:00 PM Parking: Parking Structure 5 ( PS5 ) Full Schedule. Before: Register for the contest web app at http://sandiegodata.org/contest/register. Bring: Laptop Staff Contacts: Eric Busboom, firstname.lastname@example.org, 619 363 2607 Gonzalo Urruita, email@example.com Also, Our Twitter hashtag is...read more
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: Tableau Public, for quick yet attractive visualizations. QGIS, for open source Geographic analysis and maps. The Anaconda Python distribution, to get IPython Notebook and many other important Python libraries. RStudio Desktop, an excellent R environment. Open Refine...read more
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...read more
The Student Data Contest is in less than two weeks, so it’s time to get your tools ready. If you are a student and want a shot at $2,100 in prizes, signup for the contest. One of the best tools available for quickly visualizing data is Tableau, and best of all, if you don’t need to connect to a database, Tableau Public is free. Tableau allows you to quickly produce beautiful charts and tables, and makes it easy to embed those visualizations on the web. Tableau runs on both Mac and Windows, but while it has a very well...read more
Probably the most common statistic that people deal with is the average, which can often be a good approximation of the typical or general case. However, there are many cases where the average fails, and the most extreme example I’ve seen in recent data is lawyers’ salary distributions. The NALP has been publishing salary distributions for a few years, and the blog Social Evolution Forum provides a good overview of the distribution. Since 2000 or so, the distribution is extraordinarily bi-modal, making the average, as well as the...read more
Along with SDSU and Teradata, the San Diego Regional Data Library is running a data analysis contest for San Diego area High School and College students. The contest starts February 28. Top prize is $1200. For complete details and to register, see the contest announcement page.read more