COVID-19 DATA ANALYSIS

DATA

The data used in this covid-19 data analysis is taken from kaggle covid-19 in India.

OBJECTIVES

COVID-19 VACCINATION DATA

• Gender-wise vaccination details.
• People who experienced side effects.
• State-wise vaccination details.
• State-wise covaxin covishield sputnik details.
• Age-wise vaccination details.

COVID-TESTING DATA

• Percentage of people tested postive w.r.t to testing.
• State-wise covid-19 cases.
• State-wise covid-19 testing.

COVID-19 INDIA DATA

• Positive cases, deaths and cured count state-wise
• State-wise recovery percentage
• State-wise deaths due to covid-19

OVERVIEW

• In this project we perform Data Analysis and Data Visualisation on COVID-19 dataset to get insights.
• Data Analysis is done using SQL and the results are saved as csv files and shared here.
• The queries written to perform Data Analysis is also shared under the directory Queries.
• Data Visualisation is done using Tableau.
• Tableau is an Data Visualization tool. Using Tableau is simple.
• Using Tableau you can visualize your data in a structured way that is easier to get insights from.
• To learn more about Tableau click here.

SAMPLE VISUALIZATION

• 
• The map shows the vaccination and covid-19 cases state-wise in India.
• 
• From the above plot we can see an exponential rise in vaccination count over time. Lets hope this trend continues.
• 
• From the above plot we can infer that most of the people got vaccinated with Covishield rather than Covaxin

OUTLINE

• Data used in this project can be found in the data directory.
• Under analysis_on_covid_vaccine_statewise you can find the queries used and the result csv files for COVID-19 VACCINATION DATA.
• Under analysis_on_StatewiseTestingDetails you can find the queries used and the result csv files for COVID-19 TESTING DATA.
• Under analysis_on_covid_19_india you can find the queries used and the result csv files for COVID-19 INDIA DATA.
• Under data visualisation you will find both PDF and PPT versions of the Visualizations.