These hosted notebooks can be used as quick start introductions to various
A quick guide to appending your input file with some external data (also referred here as enrichment). No technical knowledge required. Use Shift+Enter to be an “Enrichment Wizard”
Various ways you could use to authenticate with Demyst while using our Python API on Jupyter(or your preferred editor)
Standardizing your input and validating it against Demyst types. Standardize once and you will be able to lookup all data products without worrying what the vendors’ types are. Stay tuned for type detection for automated standardization of inputs.
Looking for sample inputs? Check out our hosted inputs that can be filtered down to an even smaller set of inputs.
We enrich business input data here and filter the response attributes using Panel Stats
The notebook performs an enrichment from property data products and does a comparison of attribute values across these products.
Retro Data can be a huge asset for your models. See how you can access retro data through this notebook.
An all-in-one notebook that covers enrichment, reports on the enriched data and customizing the response from data products. Our customization logic is called Data Function that can host a sequential call to data products or even a complex statistical model.