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商品描述
Description
If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works.
Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to:Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you'll find this guide indispensable.
- Develop basic and sophisticated queries
- Apply aggregate functions, custom functions, regular expressions, and crosstabs
- Apply queries to perform non-passive activities such as inserting, updating, and deleting data
- Create and manipulate tables and queries programmatically
- Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text
- Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing
- Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products
- Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations
- Deal with business and finance problems, including methods for calculating depreciation, loan paybacks, and Return on Investment (ROI)
- Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations
商品描述(中文翻譯)
**描述**
如果您在 Microsoft Access 資料庫中擁有大量數據,並需要深入研究這些數據,那麼這本書將是數據分析者的夢想。《Access 數據分析食譜》提供了實用的解決方案,以解決用戶在提取 Access 數據和對其進行計算時所遇到的各種常見問題。每個食譜都包括了關於解決方案如何運作及其原因的討論。
無論您使用的是 Access 2007 還是早期版本,這本書將教您查詢數據的新方法、將數據進出 Access 的不同方式、如何計算財務和投資問題的答案等等。學習如何應用統計來總結商業信息,如何通過使用 VBA 操作數據來超越 SQL,如何處理日期和時間,甚至如何使用 Excel 數據分析工具包。食譜展示了以下方法:
- 開發基本和複雜的查詢
- 應用聚合函數、自定義函數、正則表達式和交叉表
- 應用查詢執行非被動活動,例如插入、更新和刪除數據
- 程式化創建和操作表格及查詢
- 管理基於文本的數據,包括隔離字符串部分的方法和處理以文本形式存儲的數字的方法
- 使用數組,讀取和寫入 Windows 註冊表,加密數據,並使用事務處理
- 使用 FileSystemObject,使用 XML 和 XSLT,與 SQL Server 通信,並與其他 Office 產品交換數據
- 從基於時間的數據中尋找答案,例如如何添加時間、計算經過的時間、處理閏年,以及如何在計算中管理時區
- 處理商業和財務問題,包括計算折舊、貸款償還和投資回報率 (ROI) 的方法
- 探索統計技術,例如頻率、方差、峰度、線性回歸、組合和排列
《Access 數據分析食譜》是從您的資料庫中提取有價值信息的綜合指南,任何具有 Access 經驗的人都將從這些提示和技術中受益,包括資深開發人員。如果您想使用數據,而不僅僅是存儲它,您會發現這本指南是不可或缺的。
