This project displays a gauge chart that visualizes the amount of KVus (a fictional unit) over a period of time. The data is read from a CSV file, and the gauge chart is created using the Plotly library with annotations for each data point.
Before running this project, make sure you have Python 3 installed on your machine along with the required libraries. You can verify if Python is installed by running the following command in your terminal: python --version. If Python is not installed, you can download it here.
To get started, clone the repository using git clone https://github.com/your-username/your-repository.git and navigate to the project directory with cd your-repository. To avoid dependency conflicts, it’s recommended to create a virtual environment: python -m venv venv and activate it using source venv/bin/activate (on Windows use venv\Scripts\activate). Install the necessary libraries using pip: pip install pandas plotly matplotlib.
Ensure you have a CSV file named dados.csv in the data directory, formatted with the appropriate columns for Data and Kvus. Finally, execute the Python script to generate the gauge chart with python your_script.py (replace your_script.py with the name of your Python script). The gauge chart will be displayed in your web browser.
This project is licensed under the MIT License - see the LICENSE file for details.