I vividly remember the graphs of the vital signs of patients during my working period as an MD in the IC department. Graphical representations of vital signs can help in getting a better insight into what is happening behind the curtains. The graphs usually gave far more insight into the health state of a patient than the snapshots of vital signs in other work environments.

Dash is a python module that is getting an increasing amount of attention. With <100 lines of code you can make remarkable beautiful and interactive charts. Dash creates a local server on your computer and the application you build can be accessed via your browser. By doing so you have a graphical user interface (GUI) that you can interact with within your browser. This saves you time in writing a whole user interface to control the functionality of a script or software package. Dash also has a steep learning curve, understanding how to get things done doesn’t take much time. Dash seems to be the perfect python package for data visualisations.

Let’s see if we can create a graphical user interface of the vital signs of a dummy patient. The workflow to achieve this is a three step process. You get the data, clean the data, and then show the bling bling. The last one is the easiest thanks to Dash, the middle one the hardest.

#dash #data-visualization #python