Realistic fake data can be very useful for testing solutions and practicing data analysis. ## use cases You may want realistic fake data for - Testing a new design or feature for an organization's data management system - Determining the information value of a proposed data collection project - Developing data visualizations for a dataset before it's available - Testing applicants to a data analyst role - Developing and testing a prototype UI ## services There are many services for creating realistic fake data. See the list below to get started. - https://www.tonic.ai/ - https://www.mockaroo.com/ ChatGPT and other LLMs are capable of creating small fake datasets, but due to the processing time you wouldn't want to use them for more than a handful of records. ## creating your own fake data You can create your own fake data using a scripting language like [[Python]] or [[R]].