Introduction - Category Information

PredictHQ’s category information introduces our categories to our customers so they can quickly understand the categories and what is included. This includes documentation on the following:

  • Definition of the category and details on what it includes such as most common types of event in each category as well as labels
  • Details on how we calculate key data like date, time, and location for different categories
  • Information on ranking and entities
  • Other details on the category to help you understand the data

If you rather play and explore our data yourself, we also recommend checking out our Data Science Jupyter Notebooks to get familiar with how you could get up and running with our categories in action.

We have split our category information guides into the following sections:

Attended Event Categories

Attended Events are gatherings with a start and end date and time, where people come together in one location for entertainment or business, take the 2020 Super Bowl game or San Diego Comic-Con as an example. PredictHQ uses machine-learning models to predict attendance and ranks for each of these events.









Live TV Events

Live sports broadcasts generate huge demand surges for food, retail and delivery services.

Live TV Events

Non-Attended Event Categories

These are events with a start and end date, but are more fluid and distributed in impact, such as observances or school holidays.

Public Holidays

School Holidays



Daylight Savings

Unscheduled Event Categories

Live coverage of breaking events such as severe weather and terrorism. The API updates minute to minute to ensure accuracy.

Severe Weather


Airport Delays

Health Warnings


General Category Information

Supplementary information that is used in all categories, such as information on Date & Time Values, Location (Scope), Entities and Recurring Events.