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Data annotation
mathcoll edited this page Nov 14, 2021
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Data-annotation is the process of classify Datapoints on their Flows. t6 is using categories
to classify data.
Annotations and Categories are going to be used in the Exploratory Data Analysis process.
A classification category is a dataset cotaining a name, a descriptive content and a color. Users on t6 can customize their own Categories - and there are constraints on the number of Categories per users. There is no process of approval on the annotations.
Data-annotation can be associated to Datapoints using the following 2 processes:
- Adding manually an annotation with the specific annotation Api endpoint. This hand process is strong but require manual annotation.
- Adding annotations programmatically from a Decision Rule during Datapoint creation.
Each annotation is having a start and an end time, as well as the category_id associated to.
t6 Technical Api Documentation. Please refers to CONTRIBUTING.md in case you would like to help :-)
- Installing t6
- Internal errors
- Repository structure
- Six main Resources
- Other Resources
- Datapoints
- Users
- UIs 💥 not detailed
- Mqtt Topic 💥 not detailed
- Referentials
- Technical Api Documentation 🔗
- TWA Application Screenshots
- t6 Security policy
- Advanced t6 concepts