Research visualization framework options

[PaulClark2]

What we are after: We need a framework that will support visualizations.

Why we are after it: We need to provide users and internal stakeholders with data visualizations, yes maps and other visualizations.

Completion criteria:

• [x] Meet to discuss potential uses for data visualizations on .gov with @JonellaCulmer
• [x] Review potential options based on research with @JonellaCulmer
• [x] Present options to product managers and product owner
• [x] Present options to team

cc: @wluoFEC

[qqss88]

some options from my mind:

• d3.js (most popular one, with a little learning curve https://d3js.org/)
• echarts(from chinese company baidu, quick link: http://echarts.baidu.com/examples/)

some python solutions: interactive and can be pushed to front end plotly bokeh

another option(less frontend dev efforts): ElK stack(kibana for visualizaiton). (quick link: https://www.elastic.co/webinars/kibana-made-simple)

will add more based on my research.

[qqss88]

this seems like a good starting point for map-based visuals: https://github.com/markmarkoh/datamaps

[qqss88]

a collection of git hub list on data visualization: https://github.com/fasouto/awesome-dataviz

[qqss88]

more on python tools:

https://blog.modeanalytics.com/python-interactive-plot-libraries/

[dorothyyeager]

We're going to timebox this for this sprint.

[qqss88]

currently working on the summary and demo for this ticket. Will wrap up before demo next Monday

quick summary:

1. best front end framework option: d3
2. best python framework: plotly
3. ELK stack as a backup option, may also used for internal reporting.

[AmyKort]

Is this ready to close?

[qqss88]

ppt uploaded to google drive and here is the link:

https://drive.google.com/open?id=1zrxtequ8H52M4jBVA48mVul5_lr7BaTd

[dorothyyeager]

Work is completed, so closing.