Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2/e (Paperback)

Praise for the First Edition

 “...a well-written book on data analysis and data mining that provides an excellent foundation...”

—CHOICE

“This is a must-read book for learning practical statistics and data analysis...”

—Computing Reviews.com

 

A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study.

In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features:

• Updated exercises for both manual and computer-aided implementation with accompanying worked examples
• New appendices with coverage on the freely available Traceis™ software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance
• New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches
• Additional real-world examples of data preparation to establish a practical background for making decisions from data

Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.

《第一版》的好評如潮

「...一本關於數據分析和數據挖掘的寫得很好的書籍，提供了出色的基礎...」——CHOICE

「這是一本學習實用統計和數據分析的必讀書籍...」——Computing Reviews.com

《Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition》是一本經過驗證的數據分析指南，專注於基本的數據分析方法，這些方法對於在各種項目中做出及時和準確的決策是必要的。根據作者在實施數據分析和數據挖掘方面的實踐經驗，新版提供了清晰的解釋，引導讀者從各個學科領域進行學習。

為了方便處理數據分析或數據挖掘項目所需的步驟，這本書提供了逐步指南，幫助專業人士仔細分析數據並實施結果，從而制定更明智的業務決策。整本書都融入了總結和解釋數據的工具，並且第二版還包括：

- 更新的練習題，包括手動和計算機輔助實施的示例
- 新的附錄，介紹了免費的Traceis™軟件，包括使用社會科學、工程和金融等多個學科的數據的教程
- 新的主題覆蓋範圍，包括多元線性回歸和邏輯回歸，提供了一系列廣泛使用且透明的方法
- 更多實際案例，用於數據準備，為從數據中做出決策提供實用背景

《Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition》是研究人員和專業人士在從數據中做出有效決策方面的優秀參考資料。第二版也是本科和研究生數據分析和數據挖掘課程的理想教材，適用於計算機科學和工程學院的跨學科課程。