https://github.com/leiberbertel/financial_dashboard_dash
Financial dashboard with ability to configure data visualization using Plotly Dash in Python with a deep focus on data loading, filtering and visualization.
https://github.com/leiberbertel/financial_dashboard_dash
css3 dash dashboard html5 pandas plotly python
Last synced: 3 months ago
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Financial dashboard with ability to configure data visualization using Plotly Dash in Python with a deep focus on data loading, filtering and visualization.
- Host: GitHub
- URL: https://github.com/leiberbertel/financial_dashboard_dash
- Owner: leiberbertel
- License: mit
- Created: 2023-01-17T18:24:14.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-03T03:56:37.000Z (4 months ago)
- Last Synced: 2025-02-03T04:26:56.136Z (4 months ago)
- Topics: css3, dash, dashboard, html5, pandas, plotly, python
- Language: Python
- Homepage:
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Interactive financial dashboard
### This application has the ability to configure data visualization using Plotly Dash in Python with a deep focus on data loading, filtering and visualization.
> Use the i18n module, which allows the internationalization of the content; translate the content to a specific language according to the file you save in the /locale folder with your translation. Preferably the file should have the extension .yml
## Install dependencies on your machine
We move to the `environment` folder and there we execute the following command
```shell
pip install -r requirements.txt
```
## Running the application
Execute the following commands and open the web address of the local host chosen by Dash.
```shell
python ./main.py
```
An example of the expected terminal messages is shown below:
```shell
Dash is running on http://127.0.0.1:8050/
* Serving Flask app 'app' (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: on
```