This is a pre-requiste Mini Project in area of Interactive Data Visualization of my Masters study , wherein I visualized COVID-19 datasets from John Hopkins University and created a Dashboard using various Visualization Techniques in Python. This project shows the real-time visualizations as the dateset which is used is a time-series live datasets.
We are using the Covid-19 Datasets from the GitHub repository of the 2019 Novel Coronavirus Visual Dashboard operated by the John Hopkins University Center for Systems Science and Engineering (JHU CSSE). These datasets are time-series data of confirmed, global and recovered cases across the globe which are updated regularly.
URL for raw dataset:-
Additional dataset:
● https://raw.githubusercontent.com/CSSEGISandData/COVID-19/web-data/data/cases_country.csv
The Dataset is divided into columns with titles as Province/State, Country/Region, Lat(Latitude),Long(Longitude) and Dates. As we know these can be divided into three parts as Nominal Data,Ordinal Data & Quantitative Data.
● This Time Series Dataset has Nominal Data for the Columns: Province/State, Country/Region,Lat & Long
● Ordinal Data as Latitude, Longitude ,Dates given in column as they comprise of number of cases we would be playing with as we can Order the countries as well.
● The last would be the number of cases which is Quantitative data which would be used as sum of the confirmed, recovered and death cases.
● For additional dataset Nominal Data is for column Country_Region, Last_Update, Lat, Long_,ISO3 ,for Ordinal data its confirmed and Quantitative data confirmed,death,recovered,active,Incident_rate
We would be using below visualization techniques for the given datasets:
● Geospatial Visualization: Geo Scatter plot on Natural Earth Map Projection
● Time Oriented Visualization : Dynamic representation
● Line Plot used for mortality & recovery rate
● Bar Graph for Top 10 countries
If there is any issue with the datasets use kindly visit https://github.com/CSSEGISandData/COVID-19 for more info. The idea of this project is taken from many sources being a first attempt towards the visualization techniques. I would be updating the code to make the visualization better also deployement of the dashboard will be on webserver directly. Right now it is just a .py file with web server link. Reference : https://towardsdatascience.com/visualizing-worldwide-covid-19-data-using-python-plotly-maps-c0fba09a1b37, https://medium.com/analytics-vidhya/creating-interactive-dashboard-for-covid-19-data-ad8dc8fd0495 , https://towardsdatascience.com/creating-an-interactive-data-app-using-plotlys-dash-356428b4699c