1-DAV-202 Data Management 2023/24
Previously 2-INF-185 Data Source Integration
Difference between revisions of "Ljavascript"
Jump to navigation
Jump to search
| Line 9: | Line 9: | ||
'''Tips:''' | '''Tips:''' | ||
| − | * You can write your data into JavaScript data structures in a Flask template. It is a bad practice, but sufficient for this lecture. (A better way is to load data in JSON format through API). | + | * Each graph contains also HTML+JS code example. That is a good startpoint. |
| + | * You can write your data into JavaScript data structures (`var data` from examples) in a Flask template. You might need a jinja for loop (https://jinja.palletsprojects.com/en/2.11.x/templates/#for). Or you can produce string in Python, which you will put into a HTML. It is a (very) bad practice, but sufficient for this lecture. (A better way is to load data in JSON format through API). | ||
* Consult the [[Lflask|previous lecture]] on running and accessing Flask applications. | * Consult the [[Lflask|previous lecture]] on running and accessing Flask applications. | ||
Revision as of 11:37, 2 April 2020
In this lecture we will extend the website from the previous lecture with interactive visualizations written in JavaScript. We will not cover details of the JavaScript programming language, only use visualization contained in the Google Charts library.
Your goal is to take examples from the documentation and tweak them for your purposes.
Tips:
- Each graph contains also HTML+JS code example. That is a good startpoint.
- You can write your data into JavaScript data structures (`var data` from examples) in a Flask template. You might need a jinja for loop (https://jinja.palletsprojects.com/en/2.11.x/templates/#for). Or you can produce string in Python, which you will put into a HTML. It is a (very) bad practice, but sufficient for this lecture. (A better way is to load data in JSON format through API).
- Consult the previous lecture on running and accessing Flask applications.
