Python
Plotly
Web-Scraping
Data Visualisation
Mini Project
Python
Plotly
Web-Scraping
Data Visualisation
Mini Project
My first ever original personal project that I made without following some form of tutorial/university assignment brief. I built it over a weekend whilst bored on the train to and from St. Andrews, Scotland. I was heading up there for a recruitment event with American Express with a couple of people from the grad scheme the week before the first UK lockdown was announced, so Covid-19 was a popular subject.
I had found myself anxiously refreshing a website that tracks covid cases across the globe (worldometer) over the past few days, after a while I found it was turning out to be quite a chore as it was not the easiest data to read. I thought it would be cool to create a program that could read all the data from the website and dump it into a more readable format at the click of a button.
(click image to enlarge)
On top of being able to judge the severity of cases from the choropleth map, users can hover over each individual country to get a more detailed overview of the Covid-19 stats for that country.
(click image to enlarge)
Answer: Antarctica?
Data is displayed in a choropleth map, using darker shades to signify higher cases, which is must easier and faster to read and understand than a standard table with 221 rows.
(click image to enlarge)
On top of being able to judge the severity of cases from the choropleth map, users can hover over each individual country to get a more detailed overview of the Covid-19 stats for that country.
(click image to enlarge)
Answer: Antarctica?
Data is displayed in a choropleth map, using darker shades to signify higher cases, which is must easier and faster to read and understand than a standard table with 221 rows.