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Data Visualization
I will use Plotly package to create a graph that shows the remarkable rise in the number of hospitalized covid patients day by day. Notably, when you hover the mouse over the graph it will show you the specific number of hospitalized covid patients for each specific date.
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Next, I will use the Seaborn package to create another visualization to draw a comparison about the number of covid patients transferred to ICU unit between all counties.
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Next, I will create another visualization to draw a comparison between counties about the number of available ICU beds to see which country has prepared to handle the situation well by having a good amount of ICU beds and which county has been struggling to fight against the COVID-19.
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Looks like Los Angeles is one of the counties that has the most remarkable rise in the number of ICU covid patients and also has a good number of ICU bed available. I will create another visualization to observe if that good amount of ICU bed available is still enough to handle the dramatic rise of covid patients transferred to ICU unit that has been increasing nonstop day by day. First of all, we need to slice the data set to look into the specific data of Los Angeles county only.
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After analyzing this visualization, we noticed that although Los Angeles is one of the counties has the most ICU bed available but when Covid reached its peak around January 2021, the number of ICU bed was clearly not enough to handle the dramatic rise in the number of covid patients transferred to the ICU unit. However, the number of ICU covid patients in Los Angeles has decreased significantly from 1724 patients a day in January 2021 to 40 patients a day in July 2021, meaning that Los Angeles in specific and state of California in general has been doing a great job in handling the Covid situation by keeping the spread under the control.
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