Apple Sales Dashboard by Kris BruursApple Sales Dashboard by Kris Bruurs

Apple Sales Dashboard

Kris Bruurs

Completed work

Data Analyst

Data Visualizer

Dash Plotly

Python

Streamlit

Analytics

Apple Sales Dashboard

Portfolio Project Overview

This project is part of my data portfolio and was built to learn end-to-end dashboard development with Python and Streamlit. The goal was to practice turning raw data into clear, interactive business insights through data preparation, visual analysis, and dashboard design.

What This Project Does

The Apple Sales Dashboard is an interactive analytics app that explores sales performance from multiple perspectives:

Executive Overview: high-level KPIs and yearly trends

Geographic Performance: country-level choropleth map and regional breakdowns

Product & Pricing Analytics: category performance, discount behavior, and Pareto analysis

Customer Insights: age-group performance, rating distribution, and return behavior

The dashboard is designed to simulate a realistic business reporting experience and demonstrate practical data storytelling.

Important Note About the Data

This project uses a synthetic dataset created for training and portfolio purposes. It does not represent real Apple customer or sales data.

Tech Stack

Python

Pandas

Plotly

Streamlit

Makefile automation

Project Structure

download_data.py – creates/downloads source data

transfrom.py – transforms raw data into analysis-ready format

app.py – Streamlit dashboard application

requirements.txt – Python dependencies for this project

data/ – raw and transformed datasets

How to Run

1) Install dependencies

If you already have a virtual environment, activate it first. Then install dependencies:

pip install -r requirements.txt

2) Run the full pipeline (recommended)

This will:

install dependencies

download/generate data

transform the data

start the dashboard

make all

3) Run steps individually (optional)

make download_data
make transform_data
make run_dashboard

4) Open the dashboard

After streamlit run app.py starts, open the local URL shown in the terminal (typically http://localhost:8501).

Why I Built This

I built this project to strengthen practical dashboard-building skills, including:

designing clear visual layouts for different audiences

adding interactivity (selectors, tabs, responsive charts)

automating a simple data pipeline

presenting analysis in a business-friendly format

It demonstrates not only chart creation, but also how to structure an analytics app that is easy to run, explore, and extend.

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Completed work

Posted Feb 28, 2026

Developed an interactive Apple Sales Dashboard using Streamlit.

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Apple Sales Dashboard

Apple Sales Dashboard

Portfolio Project Overview

What This Project Does

Important Note About the Data

Tech Stack

Project Structure

How to Run

1) Install dependencies

2) Run the full pipeline (recommended)

3) Run steps individually (optional)

4) Open the dashboard

Why I Built This

Challenges

Challenges