为电子表格添加透视图

John Lacher
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To effectively analyze huge blocks of financial information generally required teaming the spreadsheet with a database application--a marriage of necessity that at the time was both clumsy and mismatched. The advent of the software suite--in which several key applications from the same vendor work relatively seamlessly together--made the marriage in some cases somewhat less disharmonious but still not very user-friendly to anyone with less than an expert knowledge of database software. Often the user had to turn to a database programmer to forge the complex links between the two applications. It wasn't until Excel version 5 came along in 1994 that a spreadsheet application could tackle such a project single-handedly. The solution was provided by a new function called a PivotTable, which does not only perform powerful data analysis but is easy to use. 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PivotTable also can cross-tabulate data from another Excel worksheet. And it can even import and analyze large amounts of data stored in an external database. If you've ever had to do some of these chores manually, you know how tedious and time-consuming they can be. Here are some examples of where the PivotTable function can solve typical financial problems. Example 1: As a Budgeting Tool During a typical budgeting process, the job of consolidating and summarizing forecasted revenue and expense is labor-intensive. With standard spreadsheet techniques, hundreds of cells of data must be entered and organized and formulas added to total the data. Last-minute additions and revisions of data--which are typical--often create havoc with the inflexible formulas in the cells that are designed to calculate totals. Reorganizing data and totals after entering the formulas becomes a complex and confusing task and it invites errors. On top of that, the final spreadsheet usually is so large it doesn't lend itself to answering the typical \"what-if\" questions that often arise. Exhibit 1, page 92, is an example of a budget worksheet for XYZ Co. As you can see, subtotal formulas are unnecessary. 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The advent of the software suite--in which several key applications from the same vendor work relatively seamlessly together--made the marriage in some cases somewhat less disharmonious but still not very user-friendly to anyone with less than an expert knowledge of database software. Often the user had to turn to a database programmer to forge the complex links between the two applications. It wasn't until Excel version 5 came along in 1994 that a spreadsheet application could tackle such a project single-handedly. The solution was provided by a new function called a PivotTable, which does not only perform powerful data analysis but is easy to use. Without any special programming training, a CPA can execute some fancy financial spreadsheet analysis without turning to a database programmer for help or, in many cases, without even linking the spreadsheet to a database (see the sidebar \\\"The Competition Steams Up,\\\" below). 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引用次数: 1

摘要

多年来,大多数会计师都扮演着信息收集者和金融“历史学家”的角色。但今天,随着计算机自动化了许多繁琐的手工工作,注册会计师正迅速演变成信息分析师。这种转变的时机并不太早:由于现在个人电脑无处不在,业务经理们正淹没在堆积如山的数据中,并寻求将这些原始数据转化为业务战略的方法。尽管计算机能迅速产生数据雪崩,但它们在消除——或者至少是缩小——数据雪崩方面却落后了,尽管它们被吹捧为数字计算器。例如,在20世纪90年代早期之前可用的电子表格软件应用程序缺乏工业实力,无法执行数据库软件只需点击一个按钮即可完成的那种分析。为了有效地分析大量的财务信息,通常需要将电子表格与数据库应用程序结合起来——这种必要的结合在当时既笨拙又不匹配。软件套件的出现——来自同一供应商的几个关键应用程序相对无缝地工作在一起——在某些情况下使这种结合在某种程度上减少了不和谐,但对于不具备数据库软件专业知识的人来说,仍然不是很友好。通常,用户不得不求助于数据库程序员来建立两个应用程序之间的复杂链接。直到1994年Excel 5版本出现,电子表格应用程序才能够单独处理这样的项目。解决方案是由一个名为透视表的新函数提供的,它不仅可以执行强大的数据分析,而且易于使用。没有任何特殊的编程训练,注册会计师可以执行一些花哨的财务电子表格分析,而不需要向数据库程序员求助,或者在许多情况下,甚至不需要将电子表格连接到数据库(参见下面的边栏“竞争加剧”)。本文主要关注Excel,而不是它的竞争对手,因为它包含比Lotus 1-2-3或Quattro Pro更强大的数据分析器,而且Excel是一种使用更广泛的电子表格应用程序。本文将通过几个示例向您介绍数据透视表函数如何增强会计师的工作。如示例所示,数据透视表可以自动重新格式化电子表格中的数据表。它的方便之处在于你不需要输入新的公式。因此,您可以通过移动几下鼠标来旋转和重新排列数据透视表的行和列,从而分析和比较不同的总计集。数据透视表还可以对来自另一个Excel工作表的数据进行交叉制表。它甚至可以导入和分析存储在外部数据库中的大量数据。如果你曾经手工做过这些家务,你就会知道它们是多么乏味和耗时。下面是一些数据透视表函数可以解决典型财务问题的例子。例1:作为预算工具在典型的预算编制过程中,合并和汇总预测收入和费用的工作是劳动密集型的。使用标准的电子表格技术,必须输入和组织数百个数据单元格,并添加公式来汇总数据。最后一刻对数据的添加和修改——这是很常见的——往往会对用于计算总数的单元格中不灵活的公式造成严重破坏。在输入公式后重新组织数据和总数成为一项复杂而令人困惑的任务,并且会引起错误。最重要的是,最终的电子表格通常是如此之大,以至于不适合回答经常出现的典型的“假设”问题。表1,第92页,是XYZ公司预算工作表的一个例子。如您所见,小计公式是不必要的。因为预算总数是自动生成的,所以细节数据可以单独存储在另一个工作表中。…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Add Perspective to Spreadsheets
For years most accountants functioned as information gatherers and financial "historians." But today, with computers automating many of those tedious, manual jobs, CPAs are swiftly evolving into information analysts. The timing of this transformation is not any too soon: Because of the now ubiquitous personal computer, business managers are drowning in mountains of data and seeking ways to transform those raw numbers into business strategy. Although computers were quick to create the data avalanche, they lagged in ways to eliminate--or at least shrink--it even though they were touted as number-crunchers. Spreadsheet software applications available before the early 1990s, for example, lacked the industrial strength to perform the kind of analysis that database software could do with the click of a button. To effectively analyze huge blocks of financial information generally required teaming the spreadsheet with a database application--a marriage of necessity that at the time was both clumsy and mismatched. The advent of the software suite--in which several key applications from the same vendor work relatively seamlessly together--made the marriage in some cases somewhat less disharmonious but still not very user-friendly to anyone with less than an expert knowledge of database software. Often the user had to turn to a database programmer to forge the complex links between the two applications. It wasn't until Excel version 5 came along in 1994 that a spreadsheet application could tackle such a project single-handedly. The solution was provided by a new function called a PivotTable, which does not only perform powerful data analysis but is easy to use. Without any special programming training, a CPA can execute some fancy financial spreadsheet analysis without turning to a database programmer for help or, in many cases, without even linking the spreadsheet to a database (see the sidebar "The Competition Steams Up," below). This article focuses on Excel rather than its competitors because it contains a more powerful data analyzer than either Lotus 1-2-3 or Quattro Pro, and because Excel is a more widely used spreadsheet application. The article walks you through several examples that illustrate how the PivotTable function can enhance an accountant's work. THE JOBS IT CAN DO As shown in the examples, a PivotTable automatically reformats tables of data in a spreadsheet. What makes it so handy is that you don't have to enter new formulas. Thus, you can analyze and compare different sets of totals by rotating and rearranging the rows and columns of the PivotTable with a few mouse movements. PivotTable also can cross-tabulate data from another Excel worksheet. And it can even import and analyze large amounts of data stored in an external database. If you've ever had to do some of these chores manually, you know how tedious and time-consuming they can be. Here are some examples of where the PivotTable function can solve typical financial problems. Example 1: As a Budgeting Tool During a typical budgeting process, the job of consolidating and summarizing forecasted revenue and expense is labor-intensive. With standard spreadsheet techniques, hundreds of cells of data must be entered and organized and formulas added to total the data. Last-minute additions and revisions of data--which are typical--often create havoc with the inflexible formulas in the cells that are designed to calculate totals. Reorganizing data and totals after entering the formulas becomes a complex and confusing task and it invites errors. On top of that, the final spreadsheet usually is so large it doesn't lend itself to answering the typical "what-if" questions that often arise. Exhibit 1, page 92, is an example of a budget worksheet for XYZ Co. As you can see, subtotal formulas are unnecessary. Because the budget totals are generated automatically, the detail data can be stored separately on another worksheet. …
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