So by clicking on the Person node, and then on the + Property button. The arrows.app supports the ability to notate property information on nodes and relationships. Person nodes could use some name properties, Locations latitude-longitude info, and date-time for when Deeds happened. But before trying this, the data could be more realistic. The output of the tool is a collection of CSV files and a JSON file that maps everything together.ĬSV files can be imported into any spreadsheet or database to do some analysis. Uploaded this into the Mock Graph Data Generator’s Generate Tab - several functions will automatically kick-off to create a random number of nodes and relationships using the node caption and relationship type properties. The arrows.app can also output a .json file of this updated graph. So the Person node represents ALL the people in the dataset, both those who witnessed deeds and our mystery hero. Note that each node here represents a category of data. The Superhero_deed node can be broken out to individual Superhero and Deed nodes, this expanded graph nicely represents the hypothetical data we want. ![]() Using arrows, we can modify the initial GPT-generated graph (or create it if you skipped the GraphGPT option). The Mock Data Generator has this embedded in it’s Design Tab. It’s a lightweight UI tool for creating and editing graphs to generate shareable images. This can then be uploaded into a free online tool called arrows.app. The Mock Graph Data Generator version adds the ability to export a JSON file of the model. “A superhero is a person who does heroic deeds and has the ability to do them in a way that a normal person couldn’t.” - Stan Lee Ideation of graph models With an OpenAI API key you can quickly draft up graphs from prompts. There’s a great tool by Varun Shenoy called GraphGPT, which uses ChatGPT to convert any written text, such as a description of an idea, into a graph.Ī version of this approach is in the Mock Data Generator’s Ideate Tab. These types of diagrams are known as networks or graphs. Peter Parker in the movie Amazing Spiderman 2 (2014) People intuitively do this when white boarding ideas or when trying to solve conspiracies in movies. Writing down concepts or drawing them on a whiteboard and connecting them with lines is a super easy way to start. ![]() The first step in creating such data is deciding how all the information interrelates. Mock Data Generator Start Screen (with tabs on top) Designing the Web The Mock Graph Data Generator is currently available on streamlit cloud via this short link. In swings, a new mock data generation tool that can do exactly this - create deeply interwoven synthetic data to test out new ideas. None of this fictitious data would contextually link, not like actual data. But all this data is independent of each other so sticking it all into a database to do experimental analysis on would be pointless. Creating a list of fake sightings, addresses, and witnesses is also fairly easy. ![]() There are a lot of excellent mock data libraries and services for creating a spreadsheet of imaginary people and super-powered identities. Your fiery publisher suspects a list of sightings, addresses, and witnesses will help crack this amazing story butĪ) you don’t have this information yet andī) aren’t even sure it actually contains headline-making clues. Suppose you’re a journalist on a crusade to unmask a particular super-powered vigilante. ![]() How to generate deeply interconnected mock datasets Creatively mixed images from lexica.art and
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