An Update to Converting Zip Code Data into Distances Using Microsoft Excel Geography Data Type, Maps, and Including Driving Distances

Q3 Social Sciences
Eric Huggins, Ivan Guardiola
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引用次数: 0

Abstract

In the article “Converting Zip Code Data into Distances: A Case Study for Teaching Business Analytics” [Huggins E (2019) INFORMS Trans. Ed. 19(2):105–107], the author demonstrates how to convert a column of zip code data into approximate distances from a default zip code using standard Microsoft (MS) Excel functions and a zip code database. In this case article, we update that case in three specific areas. First, we explore using the relatively new MS Excel Geography Data Type that, in theory at least, eliminates the need to use the zip code database by accessing required information about each zip code directly from the web. Second, we show how to apply the MS Excel Maps feature to this data. Third, although the original article uses approximate straight-line distances, we show how to extract driving distances between two zip codes using public maps and an application programming interface with MS Excel’s =WEBSERVICE() function. Two of these updates are not as straightforward as one might hope: The Geography Data Type returns a significant number of errors and, although driving distances can be determined, there is no “easy” way to do so yet. We discuss these issues in the case teaching note. Supplemental Material: The Teaching Note and data files are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .
使用Microsoft Excel地理数据类型、地图和包括驾驶距离将邮政编码数据转换为距离的更新
在文章“将邮政编码数据转换为距离:商业分析教学的案例研究”[Huggins E (2019) INFORMS Trans。编辑。19(2):105-107],作者演示了如何使用标准Microsoft (MS) Excel函数和邮政编码数据库将邮政编码数据列转换为与默认邮政编码的近似距离。在本文中,我们将在三个特定领域更新该案例。首先,我们探索使用相对较新的MS Excel地理数据类型,至少在理论上,通过直接从网络访问每个邮政编码的所需信息,消除了使用邮政编码数据库的需要。其次,我们将展示如何将MS Excel Maps功能应用于此数据。第三,尽管原始文章使用近似的直线距离,但我们展示了如何使用公共地图和带有MS Excel的=WEBSERVICE()函数的应用程序编程接口提取两个邮政编码之间的驾驶距离。其中两个更新并不像人们希望的那样简单:地理数据类型返回大量错误,尽管可以确定驾驶距离,但目前还没有“简单”的方法。我们将在案例教学笔记中讨论这些问题。补充材料:教学笔记和数据文件可在https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
INFORMS Transactions on Education
INFORMS Transactions on Education Social Sciences-Education
CiteScore
1.70
自引率
0.00%
发文量
34
审稿时长
52 weeks
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