• Help log data on police shootings, and then visualize it

    We lucked out. PLEASE NOTE THE NEW LOCATION. Urban Airship is 1/2 block long alley off of Bryant: https://www.google.com/maps/place/41+Decatur+St,+San+Francisco,+CA+94103/@37.7723734,-122.4057151,17z/data=!3m1!4b1!4m2!3m1!1s0x808f7e2bec97d89b:0x5eabc3e102081bd5 I'm looking forward to seeing you all! Please adjust your RSVP so I can reserve the correct number of tables. I'm in South America right now, correspondence is challenging. Cheers, Becka Data can make such a difference! D. Brian Burghart has been working assiduously these past two years to collect data on police shootings. He's asking for help in collecting data. He has recently gotten 501c3 status and has been working on this project for over two years now. All of this data is free and available to play with. For this meetup, we will spend the first hour helping him with research, and the second hour using the data to generate visualizations, in teams or solo. More information below: This is from his website, http://www.fatalencounters.org/ Fatal Encounters is intended to help create a database of all deaths through police interaction in the United States since Jan. 1, 2000. To help, please go to the Master Spreadsheet to find incidents to research of people killed by police prior to 2013. Next check the person’s last name in the database to see if he or she has already been included. Finally, to add your research on people killed by police, go to the upload form. New incidents of people killed by police are slightly different. First, check the person’s last name in the database to see if he or she has already been included. Then, to add your research on people killed by police to the database, go to the upload form. This site will remain as impartial and data-driven as possible, directed by the theory that Americans should be able to answer some simple questions about the use of deadly force by police: How many people are killed in interactions with law enforcement in the United States of America? Are they increasing? What do those people look like? Can policies and training be modified to have fewer officer-involved shootings and improve outcomes and safety for both officers and citizens?

  • Visualize biking in SF

    Needs a location

    Hey all, TL,DR: Email me to work on an open source app. For the rest of the year we'll be getting together to work on a single open source app which aims to collect and visualize bicycle related data in San Francisco. Email me if you're interested in helping out. We have a shared Github repo and a Google Group. Becka [masked]

  • Visualize transit data

    Location visible to members

    Hey folks - This is the second day of our transit datathon. Come out and make some awesome visualizations based on transit. You don't have to have come to the first day. Here's a README with pertinent information - we have an incredible amount of data, and a couple of teams working on apps and visualizations. https://github.com/enjalot/transit-datathon Hit me up with questions, and hope to see you Saturday.

  • Two day Transit Datathon

    HackBright Academy

    THIS IS ON TWO CONSECUTIVE SATURDAYS. PLEASE SIGN UP ON EVENTBRITE. https://www.eventbrite.com/e/transit-datathon-tickets-13355459539 Yo datanerds! Do you ride mass transit? Do you dig data and all the ways of visualizing it? Of COURSE you do. To all these things. For two Saturdays (before you sign up, make sure you get that), we'll be crunching transit data in groups. Note that we're meeting on two consecutive Saturdays: Oct 11 and Oct 18 On the first Saturday, Katie Haverkamp from the SFMTA Citizens Advisory Coucil will come and talk about what kinds of visualizations could be useful for transit planning, and to give guidance on forming questions. We'll form groups and get started on data crunching. We want your ideas, and we'll form groups around Use any datasets, any libraries, work with a goal of having something live by the end of the second Saturday. Here are a few links for inspiration: Income inequality and the New York Subway: http://projects.newyorker.com/story/subway/ Muni delays, visualized: http://bdon.org/transit/ Multiple dynamic visualizations using Boston's MBTA API: http://mbtaviz.github.io/ Hack the bart strike projects: http://enjalot.github.io/bart/ This list of contest entries includes some good transit ones (mostly near the bottom) http://urbandatachallenge.org/winning-projects-2/ Transitmix: http://vimeo.com/105403827 We'll have coffee for y'all in the morning, and will provide lunch, of course. Becka - organizer, SF Full Stack Data Viz Ian - organizer, SF D3 meetup Brandon - freelance data visualizer (Sorry for the confusion. Neither Eventbrite nor Meetup allow me to schedule an event that's on more than a single day.)

  • We <3 Data Viz!

    Ed Roberts Campus

    tl; dr: We're changing plans this month to join the good folks from Neo4j at a talk that is topically relevant. See below for details. Hi All, We'd been talking to some folks from Neo4j about having them come in to present, and it happens that they're going to be giving (almost) the very talk we'd been wanting on the same night in Berkeley. For that reason, we're going to cheat a little by outsourcing the event and switching locations to join them over there for this time around. Neo4j is an open source graph database, which is a storage engine that is specialized in storing and retrieving vast networks of data. Join us to learn how you can use Tom Sawyer Perspectives to build applications that add graph visualization and analysis capabilities to Neo4j databases through the Cypher query language. Anyone interested in Neo4j and building graph visualization applications is encouraged to join. We will begin this Meetup with a brief introduction of Neo4j. Afterward, Joshua Feingold, Solutions Manager of Tom Sawyer Software, will use Neo4j data, including the well-known Cineasts movie data set, to demonstrate how you can add powerful graph visualization capabilities on top your Neo4j database. Learn how you can use the Tom Sawyer Perspectives Designer to: • Bind to your Neo4j Database • Define Drawings and Trees • Detail Inspectors • Perform Search Deploy to HTML5 and Image Map Web Applications • Deploy to Java and .NET Desktop Application http://www.meetup.com/graphdb-sf/events/203050462/ We've got the Hackbright space for the second and third Saturdays in October so we'll be doing some data viz sprint next month with the d3 meetup. We're trying to figure out how to have people from each group RSVP to a single event - any suggestions? Let me know in the comments.

  • Dashboards and Daemons: Visualization at the very top and bottom of the stack

    These talks sound dynamite. Seemant Kulleen's talk: A dashboard is more than a collection of widgets: it is a storytelling medium. Empathy-driven dashboard design approaches interactive//unfolding storytelling through data visualization and customer/user experience. My work history is a combination of ux design, product management, programming and customer engagement. I cut my teeth in open source and have worked in medical devices, cloud computing, and even in the AI department of a bank once. These days, I use empathy-driven design to create highly customized and interactive dashboards. A self-described “Professional Geek”, Steve Okay has over 20 years of experience hacking on *NIX systems and making them do his bidding in a range of fields including air traffic control, high-performance computing, Hollywood feature films, defense, disaster recovery and robotics. He is currently consulting in the robotics industry and is an avid skater & snowboarder. He'll be presenting on: A Social Graph for Daemons: Visualizing machine-machine communication with semantic clustering. Much has been made of graphing and mapping human social interactions over social applications like Facebook and Twitter; how ideas and memes spread, what makes something “go viral”, identifying key influencers, “stickiness”, etc. The servers and networks and applications that make up these and other services that run our world have their own “social lives” too, and with the right visualization tools and techniques, we can map them out. The picture that emerges is not one of a single sterile system humming along with ruthless Borg-like deterministic consistency, but instead an assemblage of things that worked in their own quirky, chaotic way which ebb and flow, have moods and fits and show the fingerprints of its creators all over it. For September, instead of presentations, we're going to aim to organize a data viz sprint, pairing people at different levels together to work on visualizing data around a theme. If you're interested in helping out with this or participating, drop me a line or comment here - my gmail tends to hide/swallow the meetup emails, so it helps to know it's coming.

  • Visualize ALL the Data

    Location visible to members

    Hi all, This time we have two talks planned, plus a few 5-minute lightning talks if scheduling permits (2-3 max). (1) Lessons From Analyzing the Cell Cycle in Cancer I'm going to talk about things I learned while applying cutting-edge quantitative methods to bleeding-edge problems in basic biomedical research. I'll present three short stories: (1) Sampling mixed asymmetric populations that change over time (2) Using brushing to help identify interdependent variables (3) When sharp eyeballs are better than machine learning Bio Sam is an unemployed research scientist thanks to being laid off. She has spent the last year learning Python to help her transition to hopefully being an employed data scientist. She hates talking about herself in third person. https://careers.stackoverflow.com/szeitlin (2) Making Data Input Visual and Interactive with Canvas Before data can be visualized, it needs to be collected. Mobile devices and touch interfaces create new opportunities because the screen functions as both an input and display. Our product, Curve, was conceived as a way to merge data input and visualization by drawing curve ratings over time. Starting from simple tests of html5 canvas on mobile, we’ve built out Curve by adding new layers of interactivity while keeping a close eye on performance. I’ll be sharing some of the challenges we’ve overcome to make Curve intuitive and performant on mobile web across devices. Bio Mat is the founder & ceo of tinj, which is developing Curve, a video rating system. Learn more at http://tinj.com

  • Visualize ALL the Data

    Location visible to members

    There will be food! Talks will start 7-7:30 pm. If anyone is interested in giving a five minute lightning talk, drop one of us a line with a proposal. Our speakers: Mercedes Coyle is a Hackbright alum and a full stack developer at Real Gravity. She'll be presenting on data cleanup, deciding which questions to ask of the data, and how to start out analyzing data. Jaime del Palacio developed the forio data visualization library, which you can explore in the links below. He'll be talking about the full stack use of forio. http://forio.com/contour Also a couple of example visualizations created with Contour: "How much money would you have if..." - Big dataset (~11,000 rows csv) http://forio.com/contour/examples/investment/investment.html