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10-30 minute talks round 2

Schedule: 

Victor Jakubiuk - DataNitro: Python offers state of the art scientific and mathematical libraries, while Microsoft Excel provides a familiar interface for tabular data. In this talk I will demonstrate how to effectively analyze data with Python and Excel using DataNitro. I will show how to programmatically handle workbooks, integrate Numpy into Excel and display Matplotlib charts in spreadsheets. Practical examples will be provided.

Andrew Hill (@andrewxhill) is the Senior Scientist at Vizzuality & CartoDB where he works on mapping technology, data visualization, and other fun topics. Recent work he has been involved in include the PLUTO Data Tour and Living Cities. At the Data Wizards meetup, Andrew will talk about his work with CartoDB and his ideas about the relationship between data visualization and storytelling. 

Jonathan Roberts - Clean.Data: We all spend hours of our time cleaning data: parsing PDFs, changing formats, understanding why lines of a file are all NaN. Clean.Data is a non profit initiative to solve this problem, and we'll be presenting at the White House Energy Datapalooza in the fall. 

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  • Andrew W.

    Will anyone be posting video or slides?

    August 30, 2013

  • Jonathan R.

    Thanks Chris for running a great evening - and to Meetup for the beer and pizza. You can check out the Clean.Data. site at cleandatahub.org. Please feel free to jump on, set up an account and email me at jproberts00 at gmail when things break, if the workflow is unclear, or you have a feature request. If you'd like to get more involved and dig into the code, shoot me an email and I'll get you up and running. Oh, and there's also an API for the site, so the data set of data sets will also be public!

    1 · August 30, 2013

  • TASS G.

    Interesting stuff, thanks guys

    August 30, 2013

  • Daniel F.

    This was great looking forward to the next event.

    August 30, 2013

  • Helen K.

    Just exactley the thing I was looking for being new to NY.

    August 29, 2013

  • Marco C.

    Yes

    August 29, 2013

  • John C.

    Work obligation came up. Hope you all have a great time.

    August 29, 2013

  • Evan M.

    I can talk about the project we did for the Cook County Land Bank to deal with Chicago's 126K abandoned and vacant properties. We integrated Django, Pandas, Wax and Leaflet maps...and of course d3.js.

    August 28, 2013

  • Marco C.

    Yes

    August 24, 2013

  • A former member
    A former member

    Very cool graph Aaron

    August 20, 2013

  • Aaron S.

    Wish I could make it! As I can't, allow me to post here four things I think are cool! :)

    Somebody made another "which algo" visual guide, this time for a C++ library: http://dlib.net/ml_guide.svg

    I'm thinking about this paper, and a similar issue that comes up in a book I'm reviewing: http://users.wpi.edu/~mikesp/pubs/SaoPedroetalUMAP2012_final.pdf Essentially just overfitting with a single tree? I feel like random forests may be the solution here. I hate manual feature selection.

    This is pretty great - diff for tabular data: http://okfnlabs.org/blog/2013/08/08/diffing-and-patching-data.html I'm going to use it for some stuff soon; I hope it works!

    Here's another hellishly useful tool which I hope will help me a lot in the future, especially when constructing merge tables: http://source.mozillaopennews.org/en-US/articles/introducing-cvsdedupe/

    2 · August 18, 2013

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