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In this post we will perform simple exploratory data analysis of the Novel Corona Virus 2019 Dataset. The data set can be found on Kaggle. The data has daily information on the number of cases, deaths, and recovery in 2019. The data set, ‘covid_19_data.csv’, contains the following columns:

1. Sno — Serial Number | Da ga truc tiep 12h
2. ObservationDate — Date of the observation in MM/DD/YYYY
3. Province/State — Province or state of the observation
4. Country/Region — Country of observation
5. Last Update — Time in UTC at which the row is updated for the given province or county
6. Confirmed — Cumulative number of confirmed cases until that date
7. Deaths — Cumulative number of deaths until that date
8. Recovered — Cumulative number of recovered cases until that date

Let’s read the data into a Pandas data frame:

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