https://github.com/aaisha-nexus/sql_excel_project
A data analysis project using MS SQL Server and Excel, focusing on database setup, querying, data cleaning, and visualization with PivotTables & Charts. Explored real-world sales data, financial KPIs, and interactive dashboards.
https://github.com/aaisha-nexus/sql_excel_project
charts dashboard data-visualization dataanalysis dataanalytics databases excel kpi mssqlserver pivot-tables queries sql
Last synced: 3 months ago
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A data analysis project using MS SQL Server and Excel, focusing on database setup, querying, data cleaning, and visualization with PivotTables & Charts. Explored real-world sales data, financial KPIs, and interactive dashboards.
- Host: GitHub
- URL: https://github.com/aaisha-nexus/sql_excel_project
- Owner: Aaisha-Nexus
- Created: 2025-02-08T13:57:10.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-02-08T14:39:12.000Z (11 months ago)
- Last Synced: 2025-02-08T15:29:57.549Z (11 months ago)
- Topics: charts, dashboard, data-visualization, dataanalysis, dataanalytics, databases, excel, kpi, mssqlserver, pivot-tables, queries, sql
- Homepage:
- Size: 6.02 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 First SQL + Excel Project of the Year! 📊
## 📌 Project Overview
This project explores the integration of SQL and Excel for data analysis and visualization. I worked with **MS SQL Server** to set up a database, query data, and analyze sales trends using **Excel** for further data cleaning and visualization.
## 🛠️ Technologies Used
- **MS SQL Server** for database setup and querying
- **Excel** for data manipulation and visualization
- **PivotTables & Charts** for dynamic reporting
- **SQL Queries** for data extraction and transformation
## 🔍 Key Learnings
### 1️⃣ Setting Up the Database & Querying in MS SQL Server
- Downloaded and loaded data into **MS SQL Server**.
- Transitioned from **PostgreSQL** to **MS SQL Server**, finding core SQL concepts transferable.
### 2️⃣ Querying & Data Manipulation
- Wrote SQL queries based on problem statements.
- Used **CAST() function** for data type formatting.
### 3️⃣ Real-World Mathematical Applications
- Applied **percentage calculations, quarterly analysis, and financial KPIs** to sales data.
### 4️⃣ Excel for Data Cleaning & Analysis
- Used **PivotTables, formulas, and shortcuts** like:
- `CTRL + H` for bulk value replacement.
- `=TEXT(..., "dddd")` to extract day names from dates.
- `COUNTIF(range, criteria)` for counting occurrences.
- `1/COUNTIF(...)` for simulating distinct counts.
- Discovered workarounds for **PivotTable limitations** (e.g., lack of distinct count function).
### 5️⃣ Data Visualization & Dashboard Creation
- Created **PivotCharts** for insights.
- Faced and resolved **Funnel Chart limitations** by creating a separate data table.
- Used **Slicers** for dynamic report filtering based on months and quarters.
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### ⭐ Connect & Feedback
Feel free to check out my work and suggest improvements! 🚀