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DataLook | Blog

Stories about data-driven projects for social good

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DataLook | Blog | blog.datalook.io Reviews
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DataLook | Blog | blog.datalook.io Reviews

https://blog.datalook.io

Stories about data-driven projects for social good

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blog.datalook.io blog.datalook.io
1

DataLook | Blog

http://blog.datalook.io/replication-framework

Replication Framework (V1.0). The mission of DataLook is to encourage and simplify the replication of data-driven projects for social good. How can we live up to our mission? One of the things we are having in mind is to identify and structure important project attributes. You can call the result of this exercise “framework”, “meta model”, “blueprint” or “template”. Right now we are going with. How would such a framework look like? Let’s see how this works. Maybe we can eventually come up with ...Get the...

2

DataLook | Blog

http://blog.datalook.io/openimpact-fixmystreet-platform

This is one of the projects of the. What does it do? A website what makes it easy to report a problem without worrying about the correct authority to send to. More problems get reported, more problems get fixed. Boundary data for the area you're covering, email adresses for each of the departments responsible for each category of problems in each of the bodies responsible for the areas you are covering (see step 3 here. Null,null,513,&#91. Null,null,null,null,null,null,null,null,0&#93. 2 Fork the code.

3

DataLook | Blog

http://blog.datalook.io/openimpact-project-shortlist

Out of the 250 projects we have been collecting on datalook.io over the past year, we have curated a shortlist of the most impressive reusable data-driven projects for social good. Help us to maximize replications during the #openimpact marathon. Until August 31st, 2015. Predicts food establishments most at risk for the types of violations most likely to spread food-borne illness. Allows citizens to report, view, or discuss local problems. DC Action for Children. Cute Pets Twitter Bot. June 23, 2015.

4

DataLook | Blog

http://blog.datalook.io/author/quentin

Author Archives: Quentin Dumont. Data Science, meet Social Good. By Quentin Dumont 3 min read. In a way, the public enthusiasm over big data long revolved around an embarrassing paradox. Despite resounding promises that data analytics would eventually benefit us all, data scientists have (so far) mostly kept themselves busy with the click-through rate of Californian tech giants, or the ad targeting of North American department stores. Continue reading →. June 25, 2015. Theme: Syntax by Automattic.

5

DataLook | Blog

http://blog.datalook.io/openimpact

Do Good with Data. DataLook is a directory of reusable data-driven projects for social good. Join our replication marathon and bring a project to your city. Replicate one of those projects. Predicts food establishments most at risk for the types of violations most likely to spread food-borne illness. more. Allows citizens to report, view, or discuss local problems. more. Searches tweets related to food poisoning and directs the possible victims to a 311-service form. more. DC Action for Children. We have...

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DataLook | Blog

Welcome to the DataLook Blog! We publish articles about all things related to data-driven projects for social good. Read more about us here. And follow us on Twitter. Get the latest articles of the DataLook blog right in your inbox:. The Definitive Guide to Do Data Science for Good. By Tobias Pfaff 8 min read. You are a fully-equipped (or aspiring) data scientist and want to use your precious skills for solving problems that really itch the world? Continue reading →. You might also like:. June 25, 2015.

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The Daily

Wednesday, May 1, 2013. Is it time to get into the e-commerce game? First, I want to be clear about who I am talking to. The title of this article would suggest that it’s only for those who don’t currently have an online store. While it does speak to that audience, those of you who do have an e-commerce solution already might ask yourself the following question: are you actually in the game? The direction we’re moving: an overview of the stats. Already there are spending more. What does this mean for you?