> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-mintlify-3a82795f.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> Get started with ClickHouse using our tutorials and example datasets

# Tutorials and example datasets

<Tip>
  These tutorials work with any ClickHouse deployment, including [ClickHouse Cloud](/get-started/setup/cloud).
</Tip>

We have a lot of resources for helping you get started and learn how ClickHouse works:

* If you need to get ClickHouse up and running, check out our [Quick Start](/get-started/setup/install)
* The [ClickHouse Tutorial](/get-started/quickstarts/tutorial) analyzes a dataset of New York City taxi rides

In addition, the sample datasets provide a great experience on working with ClickHouse,
learning important techniques and tricks, and seeing how to take advantage of the many powerful
functions in ClickHouse. The sample datasets include:

{/*AUTOGENERATED_START*/}

| Page                                                                                        | Description                                                                                                                                                                                                   |
| ------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Amazon customer review](/get-started/sample-datasets/amazon-reviews)                       | Over 150M customer reviews of Amazon products                                                                                                                                                                 |
| [AMPLab Big Data Benchmark](/get-started/sample-datasets/amplab-benchmark)                  | A benchmark dataset used for comparing the performance of data warehousing solutions.                                                                                                                         |
| [Analyzing Stack Overflow data with ClickHouse](/get-started/sample-datasets/stackoverflow) | Analyzing Stack Overflow data with ClickHouse                                                                                                                                                                 |
| [Anonymized web analytics](/get-started/sample-datasets/anon-web-analytics-metrica)         | Dataset consisting of two tables containing anonymized web analytics data with hits and visits                                                                                                                |
| [Brown University Benchmark](/get-started/sample-datasets/brown-benchmark)                  | A new analytical benchmark for machine-generated log data                                                                                                                                                     |
| [COVID-19 open data](/get-started/sample-datasets/covid19)                                  | COVID-19 Open-Data is a large, open-source database of COVID-19 epidemiological data and related factors like demographics, economics, and government responses                                               |
| [dbpedia dataset](/get-started/sample-datasets/dbpedia)                                     | Dataset containing 1 million articles from Wikipedia and their vector embeddings                                                                                                                              |
| [Environmental sensors data](/get-started/sample-datasets/environmental-sensors)            | Over 20 billion records of data from Sensor.Community, a contributors-driven global sensor network that creates Open Environmental Data.                                                                      |
| [Foursquare places](/get-started/sample-datasets/foursquare-os-places)                      | Dataset with over 100 million records containing information about places on a map, such as shops, restaurants, parks, playgrounds, and monuments.                                                            |
| [Geo data using the cell tower dataset](/get-started/sample-datasets/cell-towers)           | Learn how to load OpenCelliD data into ClickHouse, connect Apache Superset to ClickHouse and build a dashboard based on data                                                                                  |
| [GitHub events dataset](/get-started/sample-datasets/github-events)                         | Dataset containing all events on GitHub from 2011 to Dec 6 2020, with a size of 3.1 billion records.                                                                                                          |
| [Hacker News dataset](/get-started/sample-datasets/hacker-news)                             | Dataset containing 28 million rows of hacker news data.                                                                                                                                                       |
| [Hacker News vector search dataset](/get-started/sample-datasets/hacker-news-vector-search) | Dataset containing 28+ million Hacker News postings & their vector embeddings                                                                                                                                 |
| [LAION 5B dataset](/get-started/sample-datasets/laion5b)                                    | Dataset containing 100 million vectors from the LAION 5B dataset                                                                                                                                              |
| [Laion-400M dataset](/get-started/sample-datasets/laion)                                    | Dataset containing 400 million images with English image captions                                                                                                                                             |
| [New York Public Library "What's on the Menu?" dataset](/get-started/sample-datasets/menus) | Dataset containing 1.3 million records of historical data on the menus of hotels, restaurants and cafes with the dishes along with their prices.                                                              |
| [New York taxi data](/get-started/sample-datasets/nyc-taxi)                                 | Data for billions of taxi and for-hire vehicle (Uber, Lyft, etc.) trips originating in New York City since 2009                                                                                               |
| [NOAA Global Historical Climatology Network](/get-started/sample-datasets/noaa)             | 2.5 billion rows of climate data for the last 120 yrs                                                                                                                                                         |
| [NYPD complaint data](/get-started/sample-datasets/nypd-complaint-data)                     | Ingest and query Tab Separated Value data in 5 steps                                                                                                                                                          |
| [OnTime](/get-started/sample-datasets/ontime)                                               | Dataset containing the on-time performance of airline flights                                                                                                                                                 |
| [Star Schema Benchmark (SSB, 2009)](/get-started/sample-datasets/star-schema)               | The Star Schema Benchmark (SSB) data set and queries                                                                                                                                                          |
| [Taiwan historical weather datasets](/get-started/sample-datasets/tw-weather)               | 131 million rows of weather observation data for the last 128 yrs                                                                                                                                             |
| [Terabyte click logs from Criteo](/get-started/sample-datasets/criteo)                      | A terabyte of click logs from Criteo                                                                                                                                                                          |
| [The UK property prices dataset](/get-started/sample-datasets/uk-price-paid)                | Learn how to use projections to improve the performance of queries that you run frequently using the UK property dataset, which contains data about prices paid for real-estate property in England and Wales |
| [TPC-DS (2012)](/get-started/sample-datasets/tpcds)                                         | The TPC-DS benchmark data set and queries.                                                                                                                                                                    |
| [TPC-H (1999)](/get-started/sample-datasets/tpch)                                           | The TPC-H benchmark data set and queries.                                                                                                                                                                     |
| [WikiStat](/get-started/sample-datasets/wikistat)                                           | Explore the WikiStat dataset containing 0.5 trillion records.                                                                                                                                                 |
| [Writing queries in ClickHouse using GitHub data](/get-started/sample-datasets/github)      | Dataset containing all of the commits and changes for the ClickHouse repository                                                                                                                               |
| [YouTube dataset of dislikes](/get-started/sample-datasets/youtube-dislikes)                | A collection of dislikes of YouTube videos.                                                                                                                                                                   |
