https://github.com/mehtadigisha/crud-operations-on-sales-dataset

CRUD Operations on Sales Dataset
https://github.com/mehtadigisha/crud-operations-on-sales-dataset

crud csv-creation csv-files curd-operation os pandas pandas-dataframe pandas-library python python-pandas sales-data sales-data-crud

Last synced: 3 days ago
JSON representation

CRUD Operations on Sales Dataset

• Host: GitHub
• URL: https://github.com/mehtadigisha/crud-operations-on-sales-dataset
• Owner: mehtadigisha
• Created: 2025-03-09T08:13:07.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-03-09T08:40:06.000Z (7 months ago)
• Last Synced: 2025-08-07T14:48:21.946Z (2 months ago)
• Topics: crud, csv-creation, csv-files, curd-operation, os, pandas, pandas-dataframe, pandas-library, python, python-pandas, sales-data, sales-data-crud
• Language: Jupyter Notebook
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# CRUD-Operations-on-Sales-Dataset

This project is a simple **Sales Data Management System** built with Python and Pandas. It allows users to **create, read, update, and delete (CRUD)** sales records stored in a CSV file.

---

## 🚀 Features

✅ Create new sales records  

✅ Retrieve and view records by ID  

✅ Update existing records  

✅ Delete records  

✅ Prevent duplicate IDs  

✅ Handles empty datasets gracefully  

---

## 📂 File Structure

```

📁 sales_data_project/

│── sales_data.csv        # CSV file to store records

│── CRUD Operations on Sales Dataset.ipynb      # Python script for managing records

│── README.md             # Documentation (this file)

```

---

## 🛠️ Setup Instructions

### 1️⃣ Install Dependencies

Ensure you have **Python 3** installed, then install Pandas:

```sh

pip install pandas

```

### 2️⃣ Run the Script

Execute the Python script to initialize the dataset and perform operations:

```sh

python CRUD Operations on Sales Dataset.ipynb

```

---

## 📖 How to Use

### ▶️ Adding New Records

Modify the script to add new records like this:

```python

create_record({"ID": 1, "Product": "Laptop", "Quantity": 2, "Price": 1200, "Customer": "Alice"})

```

![Screenshot (355)](https://github.com/user-attachments/assets/edcdf889-b199-48d2-8fa8-99fb751d194e)

### 🔍 Reading a Record

```python

read_record(1)  # Retrieves record with ID 1

```

### ✏️ Updating a Record

```python

update_record(1, {"Price": 1100, "Quantity": 3})  # Updates record with ID 1

```

![Screenshot (356)](https://github.com/user-attachments/assets/eeec780a-7317-4c2e-ba0f-b00f28419dcb)

### ❌ Deleting a Record

```python

delete_record(2)  # Removes record with ID 2

```

![Screenshot (359)](https://github.com/user-attachments/assets/73684e5e-40d5-4dc5-a0e5-ae939561d3e3)

![Screenshot (358)](https://github.com/user-attachments/assets/b38e7eb1-e7c3-4182-b977-14505e036150)

---

## 📌 Notes

- The script **creates `sales_data.csv` automatically** if it doesn’t exist.

- It **ensures IDs are unique** when adding new records.

- It **converts ID values to integers** for accurate lookups.