Data Cleaning and Preprocessing App First of all create Virtual Environment in your Visual Studio code. To create a virtual environment in Visual Studio Code (VS Code), follow these steps:

Step 1: Install Python

Ensure you have Python installed. You can download it from the official Python website: python.org.

Step 2: Install Python Extension for VS Code

1. Open VS Code.
2. Click on the Extensions icon in the sidebar or press Ctrl + Shift + X.
3. Search for Python and install the extension developed by Microsoft.

Step 3: Create a Virtual Environment

1. Open a terminal in VS Code (press Ctrl + or go to Terminal > New Terminal).

2. Navigate to your project folder using the cd command. Example:

   cd path/to/your/project

3. Run the following command to create a virtual environment:

   • For Windows:

     python -m venv venv

   • For Mac/Linux:

     python3 -m venv venv

   This creates a folder named venv in your project directory, which contains your virtual environment.

Step 4: Activate the Virtual Environment

• For Windows:

  .\venv\Scripts\Activate

• For Mac/Linux:

  source venv/bin/activate

After activation, your terminal prompt will change to indicate that you're working within the virtual environment.

Step 5: Set the Python Interpreter in VS Code

1. Press Ctrl + Shift + P to open the Command Palette.
2. Search for Python: Select Interpreter and click it.
3. Choose the interpreter from the venv directory, which usually looks like ./venv/bin/python.

Step 6: Install Packages

You can now install packages one by one into the virtual environment using pip.

pip install streamlit
pip install matoplotlib
pip install seaborn

Then you need to paste command

 streamlit run F:\NAVTTC\Data_cleaning_app\main.py

And yout App will open in Browser