Intelligent Event Data: School Holidays, US - Sample
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Free sample dataset covering the holiday dates for primary and secondary school in the United States. Data represents the general date range in an area where the schools are closed for the term/semester break. School holidays are also ranked by student numbers on a logarithmic scale. Relevance: There are many school holidays globally, but they can impact your demand drastically if you aren’t aware of them. Therefore, if your business revolves around children and families or is located within a short radius of a school, tracking school holiday data should be part of your planning or forecasting. Whether you run a coffee chain that expects parents to come in after school drop off or you’re a hotelier that sees a big spike in demand when students are on break. Not only do we track school holidays at the district level but we also enable you to more accurately understand their geographic impact through our polygons features. School holidays don’t occur neatly at a point on a map, they impact a geographic area such as a region, state or an entire country. Our polygons enable you to see the full area impacted by a school holiday event represented as a shape. That means you will get a much more accurate picture of impact. Categories: school holidays Location: United States Duration: 1 year Time: July 2022 - July 2023 Fields include: - Title - Category - Labels - Description - Start date and time - End date and time - Predicted end time - Country - Lat / Lon (or Polygon) - Venue Name - Venue Address - Rank (PHQ Rank, Local Rank) - PHQ Attendance - Event status - Place Hierarchy - Created/updated timestamps 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. For additional information contact us at snowflakemarketplace@predicthq.com
