Software development


COVID-19 Dashboard

Streamlit Python Programming

18 Dec, 2020

Description

Dashboard that shows the status of COVID-19 in Colombia, from graphs with the histories of reported cases, distributions by age, sex, health status, location of patients, among others. The information is based on open data provided by the Colombian government, on its GOV.CO page.

It contains a total of 7 charts where you can find line, pie and bar charts; all of them allow you to manipulate the information by selecting a range of time or specific variables or both. Each diagram can also be zoomed in or out and hovering over a graph will show more information such as the specific date and time, the number of patients, the department among others.

Graphics



Line charts




Pie charts




Bar charts


Filters


The dashboard has, on the left side, two filters: 'Report type' and 'Patient type'.


Report type: this filter modifies all graphics and allows you to see all the previous graphic information at the national, departmental or municipal level. When selecting the "department" option, a selector will appear at the bottom, allowing you to choose a specific department. Similarly, if the "municipal" option is chosen, a second selector will appear with all the municipalities of the chosen department.



Patient type: this filter modifies just the two last graphics: Distribution by sex and Age distribution. By selecting one of the three options, those graphs will update the info to the patient type selected.



More information


To know more about the source code, dataset, packages used, how to deploy it locally and how to share it via ngrok; click in the link at the right side. You can interact with a small demo in this heroku app and if you want to know more about this project, contact me.

Note: All information and graphics displayed on this page are current as of December 18, 2020 and are intended to provide a demonstration of how the COVID-19 dashboard works. The official and updated report on the status of the virus in Colombia can be found in this link.