- This started out as a practice project but then went out to do my own analysis
- The dataset in focus is of Covid-19 Pandemic.
- Thorough EDA (that will be mentioned below) was perfromed on various aspects of Covid
- Interesting observations were exported as csv and through Tabluea, data was visualized
- Start by following this https://www.youtube.com/watch?v=qfyynHBFOsM sql tutorial but then did some analysis on my own
- Dataset : https://ourworldindata.org/covid-deaths
- Packages/languages : SQL ,Tabluea,excel
- Tableau visualizations : https://public.tableau.com/app/profile/vrashank.shetty/viz/PracticeProject_16860516895090/Dashboard1?publish=yes
- The Dataset was workable to begin with
- Some unnessecary columns were dropped
Following observations were derived by exploring the dataset
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The infection percentage and the death percentage of India were calculated
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Created a view for the infection percentage around the world and which was then visualised in Tableau
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Created a view for the highest number of new cases in a day and then used Tableau to display it
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Distribution of deaths across continent
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The infection count across countries
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Created a temp table of the icu patients and based on that calculated the rolling average which gave the weekly icu patients. This was calculated because we can calculate the weekly percentage of patients admitted to icu
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Hence we can obtain the average of icu admission percentage country wise
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