Data Visualization (Giáo trình Trực quan hóa)
- Pages
- 418
- Format
- Size
- 25.9 MB
- Language
- EN · English
- Year
- 2022
- Trường
- University of Alabama
- Views
- 0
- Comments
- 0
- Lượt tải
- 0
Generating preview...
Giáo trình "Data Visualization: Exploring and Explaining with Data" cung cấp kiến thức về trực quan hóa dữ liệu, giúp người đọc khám phá và giải thích dữ liệu một cách hiệu quả.
- Document name
- Data Visualization (Giáo trình Trực quan hóa)
- School / Course
- University of Alabama · Trực quan hóa
- Author (in document)
- Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann
- Content
- Giáo trình này giới thiệu về trực quan hóa dữ liệu, giúp người đọc khám phá và giải thích dữ liệu hiệu quả. Tài liệu được xuất bản năm 2022 bởi Cengage Learning.
- Table of contents
- Contents ABOUT THE AUTHORS
- PREFACE
- Chapter
- Introduction
- 1.1 Analytics
- 1.2 Why Visualize Data?
- Data Visualization for Exploration
- Data Visualization for Explanation
- 1.3 Types of Data
- Pages
- 418 pages
- Uploaded by
- Uni24h
Description
Trích nội dung tài liệu
Data Visualization Exploring and Explaining with Data Jeffrey D. Camm James J. Cochran Wake Forest University University of Alabama Michael J. Fry Jeffrey W. Ohlmann University of Cincinnati University of Iowa Australia ● Brazil ● Canada ● Mexico ● Singapore ● United Kingdom ● United States Copyright 2022 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. This is an electronic version of the print textbook. Due to electronic rights restrictions, some third party content may be suppressed. Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. The publisher reserves the right to remove content from this title at any time if subsequent rights restrictions require it. For valuable information on pricing, previous editions, changes to current editions, and alternate formats, please visit www.cengage.com/highered to search by ISBN#, author, title, or keyword for materials in your areas of interest. Important Notice: Media content referenced within the product description or the product text may not be available in the eBook version. Copyright 2022 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. Data Visualization: Explori
Frequently asked questions
How do I download this document?
This is a VIP document. You need an active VIP account to unlock and download the original file.
How many pages is this document?
The document has 418 pages, for the course Trực quan hóa. You can preview it online before downloading.
Can I preview before downloading?
Yes. You can preview this document right on this page with the online reader, then decide whether to download.
Data Visualization (Giáo trình Trực quan hóa)
Generating preview...
Trích nội dung tài liệu
Data Visualization Exploring and Explaining with Data Jeffrey D. Camm James J. Cochran Wake Forest University University of Alabama Michael J. Fry Jeffrey W. Ohlmann University of Cincinnati University of Iowa Australia ● Brazil ● Canada ● Mexico ● Singapore ● United Kingdom ● United States Copyright 2022 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. This is an electronic version of the print textbook. Due to electronic rights restrictions, some third party content may be suppressed. Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. The publisher reserves the right to remove content from this title at any time if subsequent rights restrictions require it. For valuable information on pricing, previous editions, changes to current editions, and alternate formats, please visit www.cengage.com/highered to search by ISBN#, author, title, or keyword for materials in your areas of interest. Important Notice: Media content referenced within the product description or the product text may not be available in the eBook version. Copyright 2022 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. Data Visualization: Explori
- Document name
- Data Visualization (Giáo trình Trực quan hóa)
- School / Course
- University of Alabama · Trực quan hóa
- Author (in document)
- Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann
- Content
- Giáo trình này giới thiệu về trực quan hóa dữ liệu, giúp người đọc khám phá và giải thích dữ liệu hiệu quả. Tài liệu được xuất bản năm 2022 bởi Cengage Learning.
- Table of contents
- Contents ABOUT THE AUTHORS
- PREFACE
- Chapter
- Introduction
- 1.1 Analytics
- 1.2 Why Visualize Data?
- Data Visualization for Exploration
- Data Visualization for Explanation
- 1.3 Types of Data
- Pages
- 418 pages
- Uploaded by
- Uni24h
Comments (0)
No comments yet. Be the first!
TRẮC NGHIỆM ÔN CUỐI KÌ TQH
Data Visualization (Chapter 8) (Dịch từ Tiếng Anh)
Data Visualization (Chapter 4) (Dịch từ Tiếng Anh)
Data Visualization (Chapter 7) (Dịch từ Tiếng Anh)
Truc quan hoa tai lieu Đề on thi cuoi ki truc quan hoa
Đề thi môn Đại số tuyến tính (NN2) (Kèm đáp án)
Luyện dạng thường gặp - Toán (HSA) - Dạng 1
Đề khảo sát tháng 8 - Đề VACT Toán (Có đáp án chi tiết)
TSAP Thi thử đợt trải nghiệm - Toán
[Full] TSA 04 - P20 Study - Thầy Đào Anh Phúc

Comments (0)
No comments yet. Be the first!