FIPS Codes for States and Counties

FIPS codes, or Federal Information Processing Standards codes, are a standardized set of numeric or alphanumeric codes used to uniquely identify geographic areas within the United States, its territories, and certain other countries.

FIPS codes typically consist of either two-digit or five-digit codes, with the first two digits representing the state code and the remaining digits representing the county or other administrative division within the state. For example, the FIPS code for Los Angeles County, California is 06037, where 06 represents California’s state code and 037 represents Los Angeles County’s county code.

<br/>The standardized FIPS codes enhance data consistency and interoperability across different datasets and applications, improving overall data quality and utility. This dataset can be used to quickly map counties to their respective FIPS code and vice-versa, promoting data consistency. This enables quicker visualizations and reduces risk of data errors from counties that appear in multiple states.

原始信息汇总

数据集概述

数据集内容

该数据集包含一系列的HTML代码片段，主要用于展示Snowflake Marketplace的界面元素和布局。数据集中的HTML代码涉及多个界面组件，如导航栏、按钮、文本框等，以及它们的样式和交互行为。

数据集结构

数据集的结构主要分为以下几个部分：

1. HTML头部信息：包括页面标题、图标链接、样式表链接等。
2. HTML主体内容：包含页面的主要内容，如导航栏、主要内容区域等。
3. 样式定义：定义了页面的样式，包括字体、颜色、布局等。
4. 交互行为：定义了一些基本的交互行为，如点击事件等。

数据集用途

该数据集主要用于前端开发和界面设计，可以帮助开发者理解和实现Snowflake Marketplace的界面效果。此外，数据集还可以用于学习和研究HTML、CSS和JavaScript等前端技术。

数据集示例

以下是数据集中的一段示例代码，展示了导航栏的HTML结构和样式： html <header class=" " role="banner" data-section="HeaderSection"> <div class="ax "> <div class="cy cz d0 d1 d2 ax d3 d4 av b8"> <div class="d5 d6 cu"> <div class="d7 d8 d9 b8 ba cj cu da db dc dd de bo"> <div class=" df dg dh di"></div> <div class="dj dk dl b8 cs dm b9 cu"> <div class="dn b8 cs cj b9 cu"> <a href="/marketplace" class=" b1 co" role="link" tabindex="0"> <div class=" b8 cs cj do cv"> <svg width="197" height="20" viewBox="0 0 197 20" fill="none" class="dp dq dr " aria-label="Snowflake Marketplace"> <path fill-rule="evenodd" clip-rule="evenodd" fill="#29B5E8" d="M83.8533 6.01257H83.6289V6.29269H83.8533C83.9564 6.29269 84.0246 6.24647 84.0246 6.15263C84.0246 6.05879 83.9619 6.01257 83.8533 6.01257ZM83.353 5.75627H83.8574C84.1361 5.75627 84.3173 5.90753 84.3173 6.14283C84.3182 6.20839 84.3018 6.27304 84.2698 6.33013C84.2377 6.38723 84.1911 6.43473 84.1347 6.46776L84.3326 6.75628V6.8137H84.0455L83.8533 6.53359H83.6289V6.8137H83.3503L83.353 5.75627ZM84.7645 6.30529C84.7645 5.74506 84.3897 5.31089 83.8156 5.31089C83.2416 5.31089 82.8779 5.71845 82.8779 6.30529C82.8779 6.86552 83.2527 7.3011 83.8156 7.3011C84.3785 7.3011 84.7645 6.87112 84.7645 6.30529ZM85 6.30529C85 6.97196 84.5569 7.52659 83.8156 7.52659C83.0744 7.52659 82.6438 6.96636 82.6438 6.30529C82.6438 5.64422 83.0813 5.08539 83.8156 5.08539C84.5499 5.08539 84.9944 5.64002 84.9944 6.30529H85ZM18.6862 8.67366L16.4025 10.0014L18.6862 11.3249C18.9634 11.4854 19.1658 11.75 19.2489 12.0604C19.332 12.3709 19.289 12.7018 19.1293 12.9804C18.9697 13.259 18.7065 13.4624 18.3976 13.546C18.0887 13.6295 17.7595 13.5863 17.4824 13.4258L13.3929 11.0448C13.1303 10.8926 12.9351 10.6458 12.8467 10.3543C12.8071 10.2271 12.7892 10.094 12.7937 9.96079C12.7958 9.86601 12.8099 9.77189 12.8355 9.68067C12.9199 9.37494 13.1199 9.11453 13.3929 8.95518L17.4824 6.58261C17.7595 6.42214 18.0887 6.37891 18.3976 6.46244C18.7065 6.54596 18.9697 6.7494 19.1293 7.02799C19.289 7.30658 19.332 7.63751 19.2489 7.94797C19.1658 8.25843 18.9634 8.523 18.6862 8.68347V8.67366ZM16.5237 15.1065L12.4357 12.7367C12.2252 12.6131 11.9819 12.5578 11.739 12.5785C11.436 12.6007 11.1526 12.7375 10.9459 12.9612C10.7391 13.1849 10.6242 13.479 10.6243 13.7844V18.5295C10.6243 18.8504 10.7511 19.1582 10.9769 19.3852C11.2027 19.6121 11.5089 19.7396 11.8282 19.7396C12.1474 19.7396 12.4536 19.6121 12.6794 19.3852C12.9052 19.1582 13.032 18.8504 13.032 18.5295V15.8684L15.3269 17.2073C15.4641 17.2867 15.6155 17.3381 15.7725 17.3587C15.9295 17.3792 16.089 17.3684 16.2419 17.327C16.3948 17.2856 16.538 17.2143 16.6635 17.1172C16.7889 17.0202 16.8941 16.8992 16.9731 16.7613C17.0521 16.6233 17.1032 16.4711 17.1236 16.3133C17.1441 16.1555 17.1334 15.9952 17.0922 15.8415C17.051 15.6878 16.98 15.5438 16.8835 15.4177C16.7869 15.2916 16.6666 15.1859 16.5293 15.1065H16.5237ZM11.8059 10.465L10.106 12.1653C10.048 12.2203 9.9724 12.2526 9.89279 12.2563H9.39397C9.31412 12.2519 9.23828 12.2197 9.17939 12.1653L7.4809 10.465C7.42848 10.4061 7.39753 10.331 7.39312 10.2521V9.7493C7.39702 9.66944 7.428 9.59332 7.4809 9.53361L9.17939 7.82351C9.23842 7.76953 9.31427 7.73785 9.39397 7.73388H9.89279C9.97219 7.73734 10.0478 7.76912 10.106 7.82351L11.8059 9.52941C11.8588 9.58912 11.8897 9.66524 11.8936 9.7451V10.2479C11.8902 10.3283 11.8592 10.405 11.8059 10.465ZM10.4501 9.9916C10.4447 9.91142 10.4134 9.83521 10.361 9.77451L9.86492 9.28291C9.80675 9.22933 9.73191 9.19765 9.65313 9.19327H9.63363C9.55484 9.19765 9.48001 9.22933 9.42184 9.28291L8.92998 9.77451C8.87688 9.83465 8.8459 9.91128 8.8422 9.9916V10.0098C8.84571 10.0889 8.87678 10.1643 8.92998 10.2227L9.42184 10.7171C9.48019 10.7704 9.55492 10.802 9.63363 10.8067H9.65313C9.73191 10.8024 9.80675 10.7707 9.86492 10.7171L10.3582 10.2227C10.4117 10.1641 10.4441 10.0891 10.4501 10.0098V9.9916ZM2.76301 4.89071L6.8525 7.26328C7.03593 7.36958 7.24394 7.42554 7.45568 7.42557C7.66741 7.42559 7.87544 7.36968 8.0589 7.26343C8.24236 7.15718 8.39482 7.00432 8.501 6.82018C8.60717 6.63604 8.66333 6.42709 8.66385 6.21425V1.46912C8.66385 1.14818 8.53702 0.840386 8.31125 0.613449C8.08548 0.386512 7.77928 0.25902 7.46 0.25902C7.14072 0.25902 6.83451 0.386512 6.60874 0.613449C6.3829

搜集汇总

背景与挑战

背景概述

该数据集提供美国各州和县的标准化FIPS代码，采用2位州代码加3位县代码的层级结构，用于统一标识地理区域并确保跨系统数据一致性。其核心价值在于支持快速地理编码映射，减少多州重名县的数据错误风险。