Around half a year ago, I shared a code repository about Data Analysis of COVID-19 cases in Hong Kong to demonstrate data analytics with Python packages (Pandas, Matplotlib, and Seaborn). Time is going fast. That's around May 2020, and it's the beginning of the wave 4 COVID-19 outbreak in Hong Kong. In a previous analysis, interesting patterns are being figured out from the statistical analysis.
So sad that another new wave of COVID-19 is rising in Hong Kong again, a variation of COVID-19, Omicron. With half a year more data, I have created a new EDA (Exploratory Data Analysis) and trying to figure out the new interesting patterns from statistical analysis.
I hope you enjoy this sample of EDA for COVID-19 cases in Hong Kong as an analytics reference. God bless our Hong Kong, keep hygiene, and stay safe.
This is a code sample of Exploratory Data Analysis (EDA) for COVID-19 cases in Hong Kong. Data is obtained from the official data.gov.hk.
- Details of probable/confirmed cases of COVID-19 infection in Hong Kong (English)
- Latest situation of reported cases of COVID-19 in Hong Kong (English)
Contents
- eda_for_hk_covid19_jan_2022.ipynb <-- Latest EDA in Jan 2022.
- eda_for_hk_covid19_may_2021.ipynb <-- Previous EDA in May 2021.
- .\data\ <-- Data sources obtained from data.gov.hk.