Using Flask and a bootstrap template to summarise data from a SQL db in a pivot table.
The Dashboard is a minimal example of how to use a bootstrap template with a pivot table. It allows you to quickly evaluate data stored in your SQL Database in an appealing way. The dashboard requires the Flask, Pandas, and mysql.connector Python libraries. It also assumes that you have set up an SQL Database to store your data. The code can be adjusted to fit your specific needs by modifying the main.py file.
To install the Dashboard, follow these steps:
pip install Flask Pandas mysql-connector-python
Clone or download the Dashboard repository from GitHub.
Open the main.py file and make any necessary adjustments to fit your specific needs. Look for sections marked with “TODO” and modify as needed.
Run the main.py file to start the Flask server and launch the Dashboard.
The Dashboard is a simple example of using a bootstrap template with a pivot table. It allows you to quickly analyze and visualize data stored in your SQL Database. With its easy installation process and customizable code, the Dashboard is a useful tool for evaluating data in an appealing way.