Data Essentials +
收藏Snowflake2024-06-07 更新2024-06-15 收录
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资源简介:
Our geo data dimension tables are essential components of a comprehensive data model designed to facilitate in-depth geographical analysis and enhance data-driven decision-making. These tables cover various geographical hierarchies and attributes, providing detailed insights into places, states, and ZIP codes across the United States. The scope of our product includes three key dimension tables: DIM_PLACE, DIM_STATE, and DIM_ZIPCODE. Each table is crafted to ensure high-quality, precise, and comprehensive geographical data for a wide range of applications.Scope
- DIM_PLACE Table: Detailed analysis at the place level, including counties and geographical coordinates.
- DIM_STATE Table: State-level data with standardized identifiers and attributes for regional aggregation.
- DIM_ZIPCODE Table: Postal code-level data with ranking metrics and integration with places and states.
Scale
- Geographical Coverage: Comprehensive data spanning all states, places, and ZIP codes in the United States.
- Temporal Coverage: Persistent and uninterrupted sequence of geographical identifiers for extensive historical and future analysis.
Value
- Enhanced Decision-Making: Provides key geographical attributes that support informed, location-based decisions.
- Detailed Insights: Enables precise analysis of trends, patterns, and anomalies across various geographical hierarchies.
- Data Integration: Facilitates seamless integration of place, state, and ZIP code data for comprehensive geographical analysis.
提供机构:
UndercastAI
创建时间:
2024-06-07
搜集汇总
数据集介绍

背景与挑战
背景概述
Data Essentials+是一个美国地理维度数据集,包含地点、州和邮编三个核心维度表,提供全美范围的多层级地理属性数据,支持精准的地理分析和决策制定。该数据集具有持久的时间覆盖性,可实现历史与未来的综合地理分析。
以上内容由遇见数据集搜集并总结生成



