netasoto1/new-project2

This is a small learning project that builds an interactive web dashboard using two Python libraries: Dash and Plotly. Dash is a framework for creating web applications in Python without writing HTML or JavaScript directly, and Plotly is a charting library that Dash uses to render interactive graphs. Together they let you build a browser-based data visualization tool using only Python code. The project contains a single Python file called testtt.py that sets up the application and defines a bar chart. The chart displays a small sample dataset with four categories, labeled A through D, each with a corresponding numeric value. When you run the script, a local web server starts at http://127.0.0.1:8050 and you open that address in a browser to see the chart. The server runs in debug mode by default, which means the app reloads automatically whenever you save changes to the file. Installing the project requires Python 3.8 or newer and three packages: dash, plotly, and pandas. You install them with pip, run the script with python testtt.py, and open the browser. There is no database, no authentication, and no configuration needed. The entire project is two files: the README and the Python script. The README notes this project is provided for learning and experimentation, and it carries no formal license beyond that note. It is a minimal starting point for someone who wants to see how Dash and Plotly work together before building something more complete.