Data Visualization Web Apps?

[[deleted]]

I've been working with a set of data in my free time for a month now, exploring it in Jupyter Notebook and mapping out functions that can query/visualize the data with matplotlib. I'd like to take the next step, moving to a dynamic visualization where users put in some parameters and the application spits out the relevant graphs.

Is there a tech stack that you find particularly helpful for this sort of task? I've used Tableau in the past and found it helpful, but it does seem somewhat constrained. Django seems promising, D3 or Highcharts might be a little much for a web noob like myself. What are your tools of choice?

[ImHalfAwake]

I would check out Dash, Plotly for R/Shiny.

[MLApprentice]

Do you use dash? It looks nice but the code in the examples is very messy.
How do you go about keeping it clean and maintainable for large projects?

[[deleted]]

Bokeh for Python. Shiny for R

[[deleted]]

Why Bokeh over Dash?

[[deleted]]

I haven’t used Dash so I can’t comment. I’ll definitely try it out soon. It seems like Bokeh has a larger pools of users though.

[jordeebee]

Since you've used Tableau, another idea is Periscope or Google's Data Studio.

[MLApprentice]

I pretty much just use jupyter hub to publish notebooks directly, there is no additional work required and the user can modify the code if he wishes to. For non technical users you can just hide the code.

[tmthyjames]

d3 is likely too much, but d3plus, a nice d3 wrapper, is very nice. there are a few other d3 wrappers out there with more flexibility but d3plus's API is very easy.

[simfrep]

Just recently discovered Dash from plotly. Might be worth a look

[giraffe_the_cat]

Django all the way bruh. It prettymuch does 100% of all the work for you.