Do-a-thon for OpenMod January 2020 in Berlin

Very often data is conveyed to the public or shared with other researchers in the form of graphs. In the case of large datasets there is often many ways to visualize the data, which ultimately depend on the end-user interests or preferences. Plotly Dash is very handy for building data visualization apps with custom user interfaces in pure Python. Since Dash apps are viewed in the web browser, Dash is inherently cross-platform and mobile ready. The apps can be deployed locally or to servers. We will build a simple Dash app together.

Requirements

• python 3.6 or higher

Getting started

1. Clone the repository locally 2a. Conda users, run conda env create --file=environment.yml (it will automatically install the requirements) 2b. Setup a virtual environment. 3b. Install the dependencies pip install -r requirements.txt
2. run the app locally with python app.py, you can visualize it in your browser under http://127.0.0.1:8050

Resources

• Dash User Guide contains the description of all dash components (core, html, datatable, daq) as well of examples and tutorials on how to use the Plotly dash functionalities

• App example gallery help you forsee what you can do with Plotly dash

Tips

• in a python terminal type help(dash_core_components.<name of your component> to get the description of the component as well as its properties (you need to import dash_core_components beforehand)