Introductory tutorial

This is the introduction to a seven part tutorial which demonstrates how to de-duplicate a small dataset using simple settings.

The aim of the tutorial is to demonstrate core Splink functionality succinctly, rather that comprehensively document all configuration options.

The seven parts are:

• 1. Data prep pre-requisites

• 2. Exploratory analysis

• 3. Choosing blocking rules to optimise runtimes

• 4. Estimating model parameters

• 5. Predicting results

• 6. Visualising predictions

• 7. Evaluation

Throughout the tutorial, we use the duckdb backend, which is the recommended option for smaller datasets of up to around 1 million records on a normal laptop.

You can find these tutorial notebooks in the docs/demos/tutorials/ folder of the splink repo, and you can run them live in your web browser by clicking the following link:

End-to-end demos

After following the steps of the tutorial, it might prove useful to have a look at some of the example notebooks that show various use-case scenarios of Splink from start to finish.