https://github.com/tomaztk/real_time_visualization_with_dash_python_and_sqlserver
Real-Time data visualization with Dash Python and Microsoft SQL Server
https://github.com/tomaztk/real_time_visualization_with_dash_python_and_sqlserver
Last synced: about 1 year ago
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Real-Time data visualization with Dash Python and Microsoft SQL Server
- Host: GitHub
- URL: https://github.com/tomaztk/real_time_visualization_with_dash_python_and_sqlserver
- Owner: tomaztk
- Created: 2018-06-18T17:55:38.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2021-07-18T04:53:37.000Z (almost 5 years ago)
- Last Synced: 2023-03-09T08:55:56.204Z (over 3 years ago)
- Language: Python
- Size: 9.99 MB
- Stars: 9
- Watchers: 5
- Forks: 13
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# Real Time Visualization with Dash Python and Microsoft SQL Server
(Near) Real-Time data visualization with Dash Python and Microsoft SQL Server
Real-time setup for visualizing MSSQL Server data with
use of Dash application as client server and little Python code to get the Dash framework started.
## Cloning the repository
You can follow the steps below to clone the repository.
```
git clone https://github.com/tomaztk/Real_Time_Visualization_with_Dash_Python_and_SQLServer.git
```
## Quickstart
1. Clone the repository
2. In your local Microsoft SQL Server run the file: `Real-Time Stats Visualization.sql`
3. Run your Python environment and `{sudo} pip install dash`
4. When Dash is installed, run the file: `Real_TimeStatsVisualizationWithDash.py`
5. Change connection string in Python file, pointing to your local database server.
``` Python
sql_conn = connectSQLServer('ODBC Driver 13 for SQL Server', 'MyMSSQL\Database', 'UserName', 'Pa$$w0rd')
cursor = sql_conn.cursor()
```
6. Open your web browser pointing to your localhost.
## Blogpost
Originally posted on ([blog](https://tomaztsql.wordpress.com/2018/06/18/real-time-data-visualization-with-sql-server-and-python-dash/)). Read blogpost for additional information.
## Video
