Covicnow #2 – ICU utilization by state

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

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

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