This is a simple admin dashboard that fetches data from a MySQL database and visualizes it in the form of charts. For chart visualization, we have used the Google Charts API.

git clone "https://github.com/ChoudhariNikita/ChartDashboard.git"
cd ChartDashboard

pip install -r requirements.txt

Open app.py and update the MySQL database credentials with your own:

def get_mysql_connection():
    return mysql.connector.connect(
        user='your-username',
        password='your-password',
        host='your-host',
        port=your-port,
        database='your-database-name'
    )

Login to your MySQL server and create the required database and table using the following SQL query:

CREATE TABLE energy_outlook (
  id INT NOT NULL AUTO_INCREMENT,
  title VARCHAR(500),
  sector VARCHAR(100),
  topic VARCHAR(100),
  insight VARCHAR(255),
  url VARCHAR(500),
  region VARCHAR(100),
  start_year VARCHAR(10),
  end_year VARCHAR(10),
  impact VARCHAR(100),
  added DATETIME,
  published DATETIME,
  country VARCHAR(100),
  relevance INT,
  pestle VARCHAR(100),
  source VARCHAR(255),
  likelihood INT,
  intensity INT,
  PRIMARY KEY (id)
);

Execute load.py to load JSON data into the database. Ensure load.py contains the necessary logic to insert data into the energy_outlook table.

python load.py

Finally, run app.py to start the Flask application.

python app.py

Open your web browser and navigate to http://127.0.0.1:5000/dashboard to view the admin dashboard with data visualizations.

With these steps, you should be able to set up and run the admin dashboard application on your local machine, visualizing data from your MySQL database using Google Charts. If you encounter any issues, feel free to seek further assistance.