The following is the chart from Covicnow (https://covidnow.moh.gov.my/icu/). I will be recreating the chart based on the public domain data from Github First, as usual, need to import Python packages. Then we need to read the CSV from MoH Github into a dataframe. Please note the number of rows (10551) and also the number of… Continue reading Covicnow #2 – ICU utilization by state
Month: February 2022
Covicnow #1 – new daily cases by state
This visualization will be the first one that I will try to replicate using Python, Pandas, and Matplotlib/Seaborn. The data required from MoH Github are from the following Updated daily new cases for the entire country https://github.com/MoH-Malaysia/covid19-public/blob/main/epidemic/cases_malaysia.csv Updated daily new cases for each state https://github.com/MoH-Malaysia/covid19-public/blob/main/epidemic/cases_state.csv Static data of population for each states https://github.com/MoH-Malaysia/covid19-public/blob/main/static/population.csv First We… Continue reading Covicnow #1 – new daily cases by state
MoH Github and Covicnow
Since the beginning of the pandemic in early 2020, the Malaysia Ministry of Health has been making daily press conferences to update the public on the status of the virus situation in Malaysia, even though the information was good, there was a lot of demand for more transparency and more detail for the public to… Continue reading MoH Github and Covicnow
Reverse Engineer CovicNow website
This will be my year 2022 objective. To select one feature of the covicnow website from the Malaysia Ministry of Health, making use of the public data from MoH in Github. Reverse engineer the analysis from the data to reproduce the output in Covicnow. I will share the Python code that I wrote in Jupyter… Continue reading Reverse Engineer CovicNow website
