https://github.com/vidjinnangni/sql-sub-saharan-economic-impacts-of-covid
SQL project analyzing the economic impacts of COVID-19 in Sub-Saharan Africa using MySQL. Includes database schema, data insertion, and exploratory queries.
https://github.com/vidjinnangni/sql-sub-saharan-economic-impacts-of-covid
mysql mysql-database mysql-server sql sqldata-exploration
Last synced: 8 months ago
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SQL project analyzing the economic impacts of COVID-19 in Sub-Saharan Africa using MySQL. Includes database schema, data insertion, and exploratory queries.
- Host: GitHub
- URL: https://github.com/vidjinnangni/sql-sub-saharan-economic-impacts-of-covid
- Owner: vidjinnangni
- License: mit
- Created: 2025-02-23T16:03:32.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-23T16:11:38.000Z (8 months ago)
- Last Synced: 2025-02-23T17:23:42.514Z (8 months ago)
- Topics: mysql, mysql-database, mysql-server, sql, sqldata-exploration
- Homepage:
- Size: 41 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 📊 Sub-Saharan Economic Impacts of COVID-19 - SQL Portfolio
This project explores **the economic impacts of COVID-19 in Sub-Saharan Africa** using a dataset from *Kaggle*. The objective is to structure and analyze the data using **MySQL** and produce visualizations.
[Dataset Kaggle - Sub-Saharan Economic Impacts of COVID-19
](https://www.kaggle.com/datasets/mpwolke/cusersmarildownloadssubsaharancsv/code)
## 📂 Project structure
The project is organized as follows:
```
📂 sub_saharan_covid
├── 📜 README.md
├── 📜 db_schema.sql # SQL script for database and table creation
├── 📜 insert_data.sql # SQL script for inserting data into tables
├── 📜 queries.sql. # SQL queries for data analysis
└── 📂 data # Source dataset file (CSV)
```
## 🛠️ Technologies used
- **MySQL**: Relational database management
- **TablePlus**: SQL query exploration and visualization tool
*Python (Pandas, Matplotlib, Seaborn): For additional analyses*
## 🏗️ Project steps
### 1️⃣ Data preparation
- Importing the dataset from Kaggle
- Cleaning and normalizing the data into multiple relational tables
### 2️⃣ Database setup
- [db_schema.sql](./db_schema.sql): SQL script for table creation
- [insert_data.sql](./insert_data.sql): SQL script for inserting cleaned data into MySQL
### 3️⃣ SQL exploration & analysis
[queries.sql](./queries.sql) contains queries to analyze:
- Employment trends
- COVID-19’s impact on income
- Financial assistance received
- Mobile payment usage
- Government priorities
## 📊 Example SQL Queries
### Total number of surveyed individuals
```sql
SELECT COUNT(*) AS total_people FROM Person;
```
### Employment type distribution
```sql
SELECT Job_Type, COUNT(*) AS count FROM Jobs
GROUP BY Job_Type
ORDER BY count DESC;
```
### Average monthly expenses by country
```sql
SELECT P.Country, ROUND(AVG(Income_Expenses.Monthly_Need), 2) AS average_expenses
FROM Income_Expenses
JOIN Person P ON Income_Expenses.ID = P.ID
GROUP BY P.Country
ORDER BY average_expenses DESC;
```
## 🚀 Installation & usage
### 1️⃣ Clone the Project
```bash
git clone https://github.com/vidjinnangni/SQL-sub-saharan-economic-impacts-of-Covid.git
cd SQL-sub-saharan-economic-impacts-of-Covid
```
### 2️⃣ Import database to MySQL
```sql
SOURCE db_schema.sql;
SOURCE insert_data.sql;
```
---
You can use **TablePlus** to open SQL files, execute SQL queries, and produce visualizations.
## 🤝 Contributions
Contributions are welcome! You can submit improvements via pull requests.
## 📜 License
This project is licensed under the MIT License.