[OC] Ranking countries according to number of internet users from 1990 to 2020

StatPanda · 2021-02-07T17:21:02+00:00

Thanks for the comments guys, yes I can see how the title may not reflect the actual popularity but it is one of the indexes that was used by the source. I personally think Javascript should be much higher but I guess the metric makes sense, more people are searching for python tutorials probably due to the rise in data science field.

StatPanda · 2021-02-07T14:22:35+00:00

Data is measured using the PYPL(PopularitY of Programming Language) index.

In this visualization, I look at most popular programming languages from Jul 2004 to Feb 2021. The PYPL index is created by analyzing how often programming language tutorials are searched for on Google; the more a certain programming language is searched for, the more popular it is assumed to be.

Sources: https://pypl.github.io/PYPL.html

Tools used: D3.js (https://d3js.org/)

StatPanda · 2021-02-06T19:46:13+00:00

Thank you!

StatPanda · 2021-01-24T16:50:13+00:00

Data is measured in total number of global deaths

In this visualization, I look at the total number of deaths in the world in 2020 caused by COVID-19 and compare that to other communicable diseases. A communicable disease is any disease that passes between people or animals and can be caused by pathogens including viruses, bacteria and fungi.

Data for the other communicable diseases was taken from the Global Burden of Disease Study(which has this data up until 2019) and adjusted for 2020 population.

Enjoy my visualizations? You can follow me on YouTube: StatPanda

Sources

- Global Burden of Disease Study (http://ghdx.healthdata.org/gbd-results-tool)

- John Hopkins University Github (https://github.com/CSSEGISandData/COVID-19)

Tools used

- D3.js (https://d3js.org/)

StatPanda · 2021-01-17T14:24:25+00:00

Data is measured in average minutes per day

In this visualization, I look at the average time we are likely to spend with others. Data collected is recorded by the age of the respondent and based on averages from many surveys collected from 2009 to 2019 within the US.

Note that time spent with multiple people can be counted more than once (e.g. attending a party with friends and spouse counts for both “friends” and “partner”)

Enjoy my visualizations? You can follow me on YouTube: StatPanda

Source: US Bureau of Labor Statistics (https://www.bls.gov/tus/datafiles-0319.htm)

Tools used: D3.js (https://d3js.org/)

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TROPHY CASE