five

PredictHQ's Intelligent Event Data | Live TV Sports Broadcasts | California |March 2024

收藏
Datarade2024-04-19 收录
下载链接:
https://datarade.ai/data-products/predicthq-s-intelligent-event-data-sample-live-tv-sports-br-predicthq
下载链接
链接失效反馈
官方服务:
资源简介:
This sample gives insights into any potential drivers of demand caused by televised sports games. PredictHQ’s Live TV Events data includes the seven top US leagues: NFL, NBA, NHL, MLB, D1 NCAA Basketball, D1 NCAA Football, and MLS. The data also includes the top 100 sports games based on viewership that includes golf tournaments and boxing matches. Filter by city or county to access relevant data rather than by broad designated market areas (DMAs) used by other providers. Companies use PredictHQ’s Live TV Events API to improve demand forecasting and planning, optimize supply chains, dynamically price solutions, and more. This is just one of many API endpoints from PredictHQ that provides millions of verified and ranked events, aggregated from hundreds of data sources, and is the single, global source of truth for events from everything to televised sports events to festivals to school holidays to severe weather. Location: California Visibility Window: 1 month period (July 2023) Categories: Live TV events Features: Broadcast-level and Features API Datasets Fields Included: - Broadcast ID - Event Title - Event Labels - Event Category - Start Date and Time - Event Start (Event Local Time) - Event Predicted End Time (Event Local Time) - Location Places Hierarchy - Location Place Name - Location Place County - Location Place Region - PHQ Viewership - Broadcast Status - Event Venue Name - Event Venue Address - Event Predicted Attendance - Event Ranks (PHQ Rank, Local Rank) Data quality: PredictHQ's data quality is one of its key strengths: 1) We have developed a set of Quality Standards for Processing Demand Causal Factors (QSPD), which are used to define the criteria for high-quality event data. By following these standards, PredictHQ ensures that their data meets the highest levels of quality. 2) We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites. 3) We have built thousands of machine learning models that standardize, verify, enrich, and rank every single event. 4) On average we process 28 million events and 422,000 entities every day 5) We track the quality of our data over time and make improvements as needed. About PredictHQ: PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best. Learn more about PredictHQ's real-world event data by visiting our Developer and Data Science Documentation: https://docs.predicthq.com/ Or from our website: https://www.predicthq.com/features/live-tv-events Keywords: TV viewership, streaming, TV broadcast, sports, live TV, TV coverage, attended events, attendance, sports, festivals, expos, conferences, concerts, performing arts, community, polygon, consumer spending, predicted spend, location information, demand intelligence, financial data, venue location, accommodation, transportation, restaurant, demand intelligence, event intelligence, event categorisation, business insights, event tracking, historical event data, even impact analysis, event-driven decisions, predictive analytics,
提供机构:
PredictHQ
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作