PredictHQ's Intelligent Event Data | Unscheduled Events | Texas | March 2024

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. This data set has live coverage of breaking events such as severe weather and terrorism and the API updates minute to minute to ensure accuracy. Location: Texas Visibility Window: 1-month historical Categories: Severe weather, Disasters, Airport Delays, Terror, Health Warnings. Fields Included: - 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, and Aviation Rank) - PHQ Attendance - Event status - Place Hierarchy - Created/updated timestamps Polygon information: PredictHQ's polygons enable you to see the full area impacted by an event represented as a shape, because many types of events don't occur neatly at a point on a map. That means you will get a much more accurate picture of impact. Data samples including polygons are available upon request. 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/categoryinfo/unscheduled-events Keywords: 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, school holiday, observances, public holidays, election, campaign, holiday, delays, hospitality, travel, tourism, aviation, flight, ride-sharing, transportation, mobility, weather, severe weather, historical weather,

分析此类事件的历史影响并将其纳入未来模型，可帮助企业构建数据驱动的响应策略。该数据集实时覆盖恶劣天气、恐怖主义等突发事件，其API每分钟更新一次以确保准确性。
位置：得克萨斯州
可见性窗口：1个月历史数据
类别：恶劣天气、灾害、机场延误、恐怖主义、健康预警
包含字段：
- 标题
- 类别
- 标签
- 描述
- 开始日期和时间
- 结束日期和时间
- 预测结束时间
- 国家
- 纬度/经度
- 场馆名称
- 场馆地址
- 排名（PHQ Rank、本地排名、航空排名）
- PHQ出席人数
- 事件状态
- 地点层级
- 创建/更新时间戳
多边形信息：PredictHQ的多边形功能可将事件影响的完整区域以图形形式呈现，因为许多类型的事件并非恰好发生在地图上的某个点。这意味着您能更准确地了解事件的影响范围。包含多边形数据的样本可根据请求提供。
数据质量：PredictHQ的数据质量是其核心优势之一：
1) 我们制定了一套处理需求因果因素的质量标准（Quality Standards for Processing Demand Causal Factors，QSPD），用于定义高质量事件数据的标准。通过遵循这些标准，PredictHQ确保其数据达到最高质量水平。
2) 我们使用超过450个数据源收集事件数据，包括公共记录、社交媒体和票务网站。
3) 我们构建了数千个机器学习模型，用于对每个事件进行标准化、验证、丰富和排名。
4) 平均每天处理2800万条事件和42.2万个实体。
5) 我们长期跟踪数据质量，并根据需要进行改进。
关于PredictHQ：PredictHQ是全球首个且唯一一家为影响企业需求的最大外部因素——事件——提供缺失上下文的公司。PredictHQ经过验证的全球事件智能数据，使企业能够预测事件带来的需求变化，从而调整库存、优化劳动力配置、实施动态定价并提高运营效率。这些事件包括会议、体育赛事、大学毕业典礼、洪水等。PredictHQ将所有事件整合至一处，并结合全球领先的工具与智能技术，让组织能够以简单、可靠且可扩展的方式，更好地预测和响应事件引发的客户需求变化。我们贴近客户的实际需求，确保他们能以最适合自己的方式访问我们的数据。如需了解更多关于PredictHQ真实世界事件数据的信息，请访问我们的开发者与数据科学文档：https://docs.predicthq.com/categoryinfo/unscheduled-events
关键词：参与过的事件、出席人数、体育、节日、博览会、会议、音乐会、表演艺术、社区、多边形、消费支出、预测支出、位置信息、需求智能、财务数据、场馆位置、住宿、交通、餐饮、需求智能、事件智能、事件分类、商业洞察、事件跟踪、历史事件数据、事件影响分析、事件驱动决策、预测分析、学校假期、纪念活动、公共假期、选举、竞选活动、假期、延误、酒店业、旅游、旅游业、航空、航班、共享出行、交通、移动性、天气、恶劣天气、历史天气

搜集汇总

背景与挑战

背景概述

该数据集为PredictHQ提供的2024年3月德克萨斯州非预定事件智能数据，涵盖恶劣天气、恐怖主义等类别，包含事件标题、位置、时间等详细字段。数据通过多源收集和机器学习模型处理，确保高质量，旨在帮助企业分析历史事件影响并预测未来需求变化，以制定数据驱动策略。