Public awareness through engaging visualizations

[leggitta]

• create engaging tools for public consumption
• assert the accuracy of our data
• develop a pipeline for real time updates
• track actionable engagement metrics (social media, visits, etc)

[synflyn28]

@leggitta I am willing to work on this issue. Which datasets are we looking to visualize specifically and what platform is being used (other than GitHub) to make real time updates? I can go ahead and make some visualizations with the data that I have cleaned for this project if you think that is best.

[leggitta]

Great questions @synflyn28 . Personally, I'm most interested in mental health, so rates of PTS, suicide, traumatic brain injury, addiction, and chronic homelessness would be a good place to start.

For standalone html, I'm a big fan of bokeh. If we're going to build a full web app, I would use flask. But these are suggestions. Really you can use whatever tools that you're most comfortable with.

[skyballin]

I would agree with Alan -- but with the caveat that we should first storyboard how we would like the GUI to look and act. Which datasets are we looking to visualize specifically -- I believe this is still in development. and what platform is being used (other than GitHub) to make real time updates? -- We are only using GitHub for code, and the slack channel for messaging I can go ahead and make some visualizations with the data that I have cleaned for this project if you think that is best. -- Definitely! Can you tell us what data you are using? I think it is a great idea to control the dataset to ensure we are all looking at the same information.

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On Tue, Jan 9, 2018 at 10:26 AM, Alan Leggitt ***@***.***> wrote: Great questions @synflyn28 <https://github.com/synflyn28> . Personally, I'm most interested in mental health, so rates of PTS, suicide, traumatic brain injury, addiction, and chronic homelessness would be a good place to start. For standalone html, I'm a big fan of bokeh <https://bokeh.pydata.org/en/latest/>. If we're going to build a full web app, I would use flask <http://flask.pocoo.org/>. But these are suggestions. Really you can use whatever tools that you're most comfortable with. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#18 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AFOkbzu4Xm9hB2SHEK4B02nrAbaw-nBaks5tI69CgaJpZM4RTTqt> .

[leggitta]

How do y'all feel about hosting some of the raw data as well as some of our cleaned/derived data on data.world?
https://data.world/leggitta/va-open-data

[synflyn28]

All,

The dataset that I want to visualize is here and I was thinking of starting to do something basic like either a scatterplot for a few of the columns or maybe a boxplot. And @leggitta I can upload that CSV to data.world though I would have to be given access to the data repo on there so I could upload it via Python.

[synflyn28]

@leggitta I just uploaded the CSV to data.world. Thanks for the invite!