https://github.com/HMA-Rahman/Covid-19-Data-Exploration
A project of Covid-19 data analysis using sql and power bi.
https://github.com/HMA-Rahman/Covid-19-Data-Exploration
googlesheets mssql powerbi sql
Last synced: 9 months ago
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A project of Covid-19 data analysis using sql and power bi.
- Host: GitHub
- URL: https://github.com/HMA-Rahman/Covid-19-Data-Exploration
- Owner: true-B0T
- Created: 2025-01-09T08:51:40.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-15T18:50:53.000Z (over 1 year ago)
- Last Synced: 2025-01-15T20:26:40.459Z (over 1 year ago)
- Topics: googlesheets, mssql, powerbi, sql
- Language: TSQL
- Homepage:
- Size: 40.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
# Covid-19 Data Exploration & Analysis with SQL & Power BI.
## Tech Stack
**Google Spreadsheet**, **MSSQL**, **Microsoft Power BI.**
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## Project Walkthrough
First, I imported the data on Google Sheets. Checked all the rows for blanks and null values (using filter). Fixed any issues regarding data format. Made sure they are in correct format and eliminated null values.
Then, I imported the cleaned data to MSSQL. Where I did the all the analysis.
The analyses I did,
* Total Cases vs Total Deaths and Death Percentage per day [grouped by country]
* Countries with highest infection rate.
* Countries with highest death and death percentage.
* Death count by continent and their population.
* Total Cases vs Total Deaths and Death Percentage [World] [Overall]
* Joined two datasets [Covid Death and Vaccination]
* Total Population vs Vaccination / Day across the world.
For these analyses I used, basic SQL functions and some advanced ones as well, like Subquery, CTE, Window function and Temp Table.
You can checkout the SQL queries [here](https://github.com/true-B0T/Covid-19-Data-Exploration/blob/main/Sql%20Files/COVID%20Data%20Exploration%20using%20SQL.sql).
After that, made a dashboard using Power BI which shows all these information at a glance.
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## The final Dashboard.
