HassanAhmedAI/mobile-sales-data

Mobile Sales Data (2023–2024)

Overview

This dataset contains information about mobile phone sales, including models, quantities sold, unit prices, total revenue, and sale dates.
It has been prepared for students, analysts, and anyone who wants to practice business intelligence, sales analytics, or basic machine learning.

The dataset is simple, clear, and suitable for classroom assignments, dashboard building, and Excel or Python practice.

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Dataset Structure

Below are the typical columns included in the dataset:

• Date – The date on which the sale was recorded
• Brand – The mobile phone brand
• Model – The specific model sold
• Quantity Sold – Number of units sold
• Unit Price – Price of a single unit
• Total Revenue – Calculated as Quantity Sold × Unit Price
• Seller Name – The seller or salesperson (if applicable)
• City / Location – Location where the sale took place

(Columns may vary slightly depending on the version uploaded.)

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Possible Use Cases

Business and Sales Analysis

• Monthly and yearly sales comparison
• Brand-wise performance
• Revenue tracking
• Market demand trends
• Basic forecasting

Data Cleaning and Transformation

• Handling missing values
• Working with dates
• Removing duplicates
• Feature engineering
• Preparing data for dashboards

Machine Learning (beginner level)

• Simple regression
• Trend analysis
• Predicting future sales

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File Details

• File Name: Mobile Sales Data.xlsx
• Format: Excel Workbook
• Sheets: 1 (main sales dataset)

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Source

This dataset is self-created for academic and learning purposes.
It is not taken from any company or commercial source.

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License

The dataset is released under the MIT License.
Users may use it freely for study, research, or commercial work.

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Author

Hassan Ahmed
Developer and data analytics learner.

If anyone needs help using this dataset in a dashboard or project, guidance is available.