NepGlory| Human Factors

Human Factors

The emergence and spread of infectious diseases, like COVID-19, are on the rise. Can you identify patterns between population density and COVID-19 cases and identify factors that could help predict hotspots of disease spread?

NepGlory visualizes

Summary

Many analysts and people are having a difficult time analyzing the latest corona cases with their hotspots. With the project we have managed to built, we deliver a common person a great ability to analyze the data with great interaction and comprehension. Included heatmaps, charts and range-colored data make people comprehend the recent data.

How We Addressed This Challenge

We have made a visualizing jupyter files(some converted to html file). Also we have our website www.nepglory.co that helps people around the globe to interact with new data of corona and find hotspot after seeing the heatmaps and chart which are beautiful ways to visualize data.

How We Developed This Project

Reason:Hailing from the places with less analytical thinking capacity people. We figured out that this project of ours will help people get the analytics of latest data in different format.

Data usage: We have used covid-19 cases provided by NASA along with coordinates of the countries.

Project tools:Mostly our project uses python and we have rendered our projects on our website and github repository given below. Latter is preferred to judges for viewing our source code easily.

Project Demo

We have some images on this link also we have the final project on this repository.


https://github.com/nepglory/nepgloryspaceapps2020



Project Code
Data & Resources

We have used covid 19 case from 

https://api.covid19api.com/summary?h=AT0T0Q4NgHz4B_NtNKj6wsTaVbaLPNX3bLPz9J65GL4oVxwz0-n5vdSUaHq6Au3anTa2OZWUYhS8hv9fvaj30oqQvA09O2WEnfx9-5ZclAU0CjqW0_KJ2z5nddhzBK3LiHkSnSSSBbc

Tags
data-visualisation, nepglory
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.