Intelligent Event Data: Unscheduled Events, Texas - Sample

Free sample dataset containing Unscheduled event data for a 1-year historical period for Texas and includes severe weather, natural disasters, airport delays, terror, and other unscheduled events that need to be factored into demand forecasting to account for their impact.

Relevance: Analyzing historical impact from these types of events and then factoring them into models for the future enables companies to build data-driven response strategies.

Categories: severe weather, disasters, airport delays, terror, and health warnings
Location: Texas, US
Duration: 1 month
Time: July 2023

Fields include:
- Title
- Category
- Labels
- Description
- Start date and time
- End date and time
- Predicted end time
- Country
- Lat / Lon
- 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 [e-mail]

搜集汇总

背景与挑战

背景概述

这是一个关于德克萨斯州非计划事件的免费样本数据集，覆盖2023年7月的一个月历史数据，包括恶劣天气、自然灾害、机场延误和恐怖事件等类别，旨在帮助公司分析历史影响并构建数据驱动的需求预测策略。数据集由PredictHQ提供，通过高质量标准、多数据源和机器学习模型确保数据准确性，支持企业优化库存、劳动力和定价决策。