Titration Data Analysis Project

Project Overview

This project is focused on analyzing titration data using Python. The goal is to process, visualize, and interpret the data to gain insights into chemical reactions and their properties.

Features

• Data preprocessing and cleaning
• Visualization of titration curves
• Calculation of key parameters such as equivalence points
• Support for multiple data formats

Requirements

• Python 3.8 or higher
• Jupyter Notebook
• Required Python libraries (see below)

Installation

1. Clone this repository to your local machine:

   git clone https://github.com/Deeja-ish/python_titration.git

2. Navigate to the project directory:

   cd python_titration

3. Install the required Python libraries:

   pip install -r requirements.txt

Usage

1. Open the Jupyter Notebook:

     titration.ipynb

2. Follow the instructions in the notebook to load your data and run the analysis.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes.

License

This project is licensed under the MIT License.