@@ -81,7 +81,7 @@ The images in the paper are sometime small. We offer high resolution images to
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@@ -81,7 +81,7 @@ The images in the paper are sometime small. We offer high resolution images to
## Code
## Code
The images above have been generated using code from the [Code folder](./Code/)
The images above have been generated using code from the [Code folder](./code)
It is mainly code to preprocess the data files that will then be processed in d3.js.
It is mainly code to preprocess the data files that will then be processed in d3.js.
The exemples of visualisations are accessible online at the following adresses (checked on the <spanclass="timestamp-wrapper"><spanclass="timestamp"><2019-05-22 mer.></span></span>):
The exemples of visualisations are accessible online at the following adresses (checked on the <spanclass="timestamp-wrapper"><spanclass="timestamp"><2019-05-22 mer.></span></span>):
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@@ -104,9 +104,9 @@ Visualizations on <https://observablehq.com/@maliky/playing-with-moodle-data>
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@@ -104,9 +104,9 @@ Visualizations on <https://observablehq.com/@maliky/playing-with-moodle-data>
### Coursera
### Coursera
Use the file <Code/SNA-Coursera17/> folder to scrap the data from a Coursera and then wrangle it into visualisation.
Use the [folder](./Code/SNA-Coursera17/) to scrap the data from a Coursera and then wrangle it into visualisation.
- The visualisation requires `graph_tool.py`
- The visualisation requires `graph_tool.py`
Check the <Code/SNA-Coursera17/README.md>
Check the [README.md in Code/SNA-Coursera17](./Code/SNA-Coursera17/README.md)