Automated Analysis of a Data Workflow - Part 2

The conclusion of the story of how we created DCP Analytics - our in-house automated, web-based analysis tool using Pandas, Bokeh, Jupyter and Conda to help our researchers quickly find data anomalies and processing errors in our data production pipelines..
Read More ›

 

Automated Analysis of a Data Workflow - Part 1

The story of how we created DCP Analytics - our in-house automated, web-based analysis tool using Pandas, Bokeh, Jupyter and Conda to help our researchers quickly find data anomalies and processing errors in our data production pipelines.
Read More ›

team  

MPC IT Shark Tank - Cycle 3 Results

Cycle 3 of MPC IT Shark Tank wrapped up last month. Here's the scoop!
Read More ›

More Articles

MPC IT On Tour

Where We'll Be / Where We've Been

2016-12-04
USENIX LISA16 (Boston, MA)
Willy Lee
Attending
2016-07-20
DevOpsDays (Minneapolis, MN)
Multiple Staff
Attending
2016-07-13
SciPy (Austin, TX)
Ben Klaas and Tom Lynch
Attending
2016-05-28
PyCon (Portland, OR)
Multiple Staff
Attending
2016-04-25
MinneWebCon (Minneapolis, MN)
TBD
Attending

More ›

About the MPC

The Minnesota Population Center (MPC) is an interdisciplinary research center at the University of Minnesota. As a leading developer and disseminator of some of the world's largest demographic databases, we serve an audience of more than 50,000 researchers, policymakers, journalists, and data scientists around the globe.

More ›

×