This is an exmaple Dashboard codes written in Python dash for collecting various typess of datasets, including Google Pollen index data, social media data, and client's data.
- Created by Kevin Chao (kevinchao@gmail.com)
- https://www.linkedin.com/in/kevin-chao-com/
- Latest updated on Apr 4, 2024
- Run the Dashboard under terminal:
python main.py
And then copy and paste the IP address shown on the terminal screen to web browser, such as http://127.0.0.1:8050/.
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Screenshots of the Dashboard:
- Google Map with customized locations
* Heatmap plot for Google Pollen Index:
* Request Google Pollen Forecast data with a given location:
* Input and collect client's information:
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Certainly, this Dashboard is still in a very preliminary stage, and several improvements could be made, including but not limited to:
- The need for a clear business understanding to better customize the usage purposes of the Dashboard.
- Understanding what resources the business can provide, including any existing cloud services (SQL, AWS, or Google Cloud) or other resources that can be utilized.
- A need for a better architectural design for the Dashboard, encompassing the frontend, backend, and database systems.
- Scalability is crucial to handle heavy usage for future needs.
- For the output datasets, further data cleaning and transformation are required to convert the raw data into a clean dataset.