README.md

metadata

title: Simple Data Dashboard
emoji: 📊
colorFrom: purple
colorTo: blue
sdk: streamlit
python_version: 3.11
app_file: app.py
pinned: false

Simple Data Dashboard (Streamlit)

A lightweight Streamlit dashboard for exploring a CSV file: preview, summary stats, filtering, and a quick line chart.

Features

• Upload any .csv file
• Preview the first rows
• Summary statistics (describe())
• Filter rows by selecting:
  • a column
  • a value from that column
• Generate a simple line chart using selected X and Y columns (on the filtered data)

Tech Stack

• Python
• Streamlit
• Pandas / NumPy
• Matplotlib (imported; Streamlit chart used for the plot)

Run Locally

1) Create a virtual environment (recommended)

python -m venv .venv
source .venv/bin/activate   # macOS/Linux
# .venv\Scripts\activate  # Windows

2) Install dependencies

pip install streamlit pandas numpy matplotlib

3) Start the app

streamlit run app.py

Then open the local URL shown in the terminal (usually http://localhost:8501).

Project Structure (suggested for GitHub)

simple-data-dashboard/
  main.py
  README.md
  requirements.txt

Example requirements.txt

streamlit
pandas
numpy
matplotlib

Tips

• For best results, pick numeric columns for the Y-axis.
• If your X column is not unique or not sorted, the line chart may look messy—try using an index-like column.

License

Add a license if you plan to publish publicly (MIT is common for small demo projects).