Data Analysis

Tracking iPhone Sales Statistics

Tracks and visualizes global sales figures for various iPhone models using tabulated data and charts.

Apr 2025 Eng. Ameen Qahtan

Project Overview

The notebook initializes NumPy arrays of units sold for ten iPhone models, then builds a DataFrame with columns for Model, Release Year, Base Price, and Units Sold (millions) . It also constructs a regional‐sales DataFrame and uses tabulate to display summary tables. Finally, it employs Matplotlib to plot sales trends and compare model performances over time .

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Tracking iPhone Sales Statistics
Project Details
Category
Data Analysis
Completed
Apr 10, 2025
Technologies
Python 3 & Jupyter Notebook NumPy & pandas Matplotlib
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