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Table Of Contents
Elasticsearch Query Language the Definitive Guide
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Before starting exploring our dataset, we will need to load it in an Elasticsearch cluster. You can reuse the cluster provisioned in previous chapters of this book or create a new one on Elastic Cloud (https://cloud.elastic.co/).You can then load the Swiss train dataset using the notebook provided on GitHub (https://github.com/PacktPublishing/Elasticsearch-Query-Language-the-Definitive-Guide/blob/main/chapter5/swiss_trains_elasticsearch.ipynb). Please note that you will need to provide the hostname of your deployment and an API key with write permission to the swiss_train index. You will be guided to do this in the notebook.Note that the csv dataset is provided in the repository, but the source data, collected by Swiss Federal Railways SBB and titled actual comparison for departure and arrival time SBB, is openly available on the Swiss open data website (https://opendata.swiss/en/dataset/target-actual-comparison-for-departure-and-arrival-time-sbb-previous-day1)...
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