en/code/Jupyter-Notebooks.md

@@ -40,4 +40,4 @@ This file recreates the old report. It takes the files from `clean_data`, genera
 ## pipeline.ipynb
 
 The Evaluation Report Pipeline file takes files from `clean_data` and processes them into a format for the API. In order to do this, it changes Likert scale values from 1 to 7 into values that reflect the weight of an answer. Neutral answers weigh 0, negative answers tend to weigh from -1 to -3 and positive answers from 1 to 3. These values are then inserted into the API.
-Please note that the pipeline will only calculate the score for columns that have been turned into UUIDs by the cleanup script. If you encounter a question you need to be considered, you can add it to the API, by following the steps provided in the API documentation //TODO. The cleanup and pipeline scripts will pick them up automatically. 
+Please note that the pipeline will only calculate the score for columns that have been turned into UUIDs by the cleanup script. If you encounter a question you need to be considered, you can add it to the API, by following the steps provided in the [API documentation](API) The cleanup and pipeline scripts will pick them up automatically. 
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