annotations_creators:
- expert-generated
language:
- en
license: mit
dataset_info:
size_categories:
- small
pretty_name: Mobile Sales Data
task_categories:
- tabular-regression
- tabular-classification
tags:
- mobile
- sales
- business
- excel
- tabular
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.
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.)
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
File Details
- File Name: Mobile Sales Data.xlsx
- Format: Excel Workbook
- Sheets: 1 (main sales dataset)
Source
This dataset is self-created for academic and learning purposes.
It is not taken from any company or commercial source.
License
The dataset is released under the MIT License.
Users may use it freely for study, research, or commercial work.
Author
Hassan Ahmed
Developer and data analytics learner.
If anyone needs help using this dataset in a dashboard or project, guidance is available.