For details of the challenge, see the official VAST Challenge 2019 pages.
Note: For full interaction, viualization and formatting, view the following documents from within litvis either in Atom or VSCode.
- Sensor simplifier (Elm) for thinning dense sensor data with Douglas-Peucker simplification.
- CUSUM calculator (Elm) for adding CUSUM values to sensor data.
- Message filter (Elm) for removing stopwords etc.
- wordclouds creator For generating dense wordclouds with Vega.