東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Prepare your data for tableau = a pr...

Costello, Tim.

FindBook

Google Book

Amazon

博客來

Prepare your data for tableau = a practical guide to the tableau data prep tool /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prepare your data for tableau/ by Tim Costello, Lori Blackshear.
其他題名:	a practical guide to the tableau data prep tool /
作者:	Costello, Tim.
其他作者:	Blackshear, Lori.
出版者:	Berkeley, CA :Apress : : 2020.,
面頁冊數:	xvii, 202 p. :ill., digital ;24 cm.
內容註:	Chapter 1: What is ETL -- Chapter 2: About the Demo Data -- Chapter 3: Connecting to Data -- Chapter 4: UNION Joins -- Chapter 5: Joins -- Chapter 6: Audit -- Chapter 7: Cleaning -- Chapter 8: Group and Replace -- Chapter 9: Aggregate -- Chapter 10: Pivoting Data -- Chapter 11: Output -- Appendix 1: Preparing data IN Tableau.
Contained By:	Springer eBooks
標題:	Information visualization. -
電子資源:	https://doi.org/10.1007/978-1-4842-5497-4
ISBN:	9781484254974

Prepare your data for tableau = a practical guide to the tableau data prep tool /
Costello, Tim.

Prepare your data for tableaua practical guide to the tableau data prep tool /[electronic resource] :by Tim Costello, Lori Blackshear. - Berkeley, CA :Apress :2020. - xvii, 202 p. :ill., digital ;24 cm.

Chapter 1: What is ETL -- Chapter 2: About the Demo Data -- Chapter 3: Connecting to Data -- Chapter 4: UNION Joins -- Chapter 5: Joins -- Chapter 6: Audit -- Chapter 7: Cleaning -- Chapter 8: Group and Replace -- Chapter 9: Aggregate -- Chapter 10: Pivoting Data -- Chapter 11: Output -- Appendix 1: Preparing data IN Tableau.

Focus on the most important and most often overlooked factor in a successful Tableau project-data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Data Prep tool you can now handle most of the common Data Prep and cleanup tasks on your own, at your desk, and without the help of the data team. This essential book will guide you through: The layout and important parts of the Tableau Data Prep tool Connecting to data Data quality and consistency The shape of the data. Is the data oriented in columns or rows? How to decide? Why does it matter? What is the level of detail in the source data? Why is that important? Combining source data to bring in more fields and rows Saving the data flow and the results of our data prep work Common cleanup and setup tasks in Tableau Desktop You will: Recognize data sources that are good candidates for analytics in Tableau Connect to local, server, and cloud-based data sources Profile data to better understand its content and structure Rename fields, adjust data types, group data points, and aggregate numeric data Pivot data Join data from local, server, and cloud-based sources for unified analytics Review the steps and results of each phase of the Data Prep process Output new data sources that can be reviewed in Tableau or any other analytics tool.

ISBN: 9781484254974

Standard No.: 10.1007/978-1-4842-5497-4doiSubjects--Uniform Titles:

Tableau (Computer file)
Subjects--Topical Terms:

615673
Information visualization.

LC Class. No.: QA76.9.I52 / C678 2020

Dewey Class. No.: 001.4226

Prepare your data for tableau = a practical guide to the tableau data prep tool /
LDR:03501nmm a2200325 a 4500 001 2215350
003 DE-He213
005 20200601172718.0
006 m d
007 cr nn 008maaau
008 201119s2020 cau s 0 eng d
020 $a 9781484254974 $q (electronic bk.)
020 $a 9781484254967 $q (paper)
024 7 $a 10.1007/978-1-4842-5497-4 $2 doi
035 $a 978-1-4842-5497-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.I52 $b C678 2020
072 7 $a UB $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UB $2 thema
082 0 4 $a 001.4226 $2 23
090 $a QA76.9.I52 $b C841 2020
100 1 $a Costello, Tim. $3 922212
245 1 0 $a Prepare your data for tableau $h [electronic resource] : $b a practical guide to the tableau data prep tool / $c by Tim Costello, Lori Blackshear.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2020.
300 $a xvii, 202 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: What is ETL -- Chapter 2: About the Demo Data -- Chapter 3: Connecting to Data -- Chapter 4: UNION Joins -- Chapter 5: Joins -- Chapter 6: Audit -- Chapter 7: Cleaning -- Chapter 8: Group and Replace -- Chapter 9: Aggregate -- Chapter 10: Pivoting Data -- Chapter 11: Output -- Appendix 1: Preparing data IN Tableau.
520 $a Focus on the most important and most often overlooked factor in a successful Tableau project-data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Data Prep tool you can now handle most of the common Data Prep and cleanup tasks on your own, at your desk, and without the help of the data team. This essential book will guide you through: The layout and important parts of the Tableau Data Prep tool Connecting to data Data quality and consistency The shape of the data. Is the data oriented in columns or rows? How to decide? Why does it matter? What is the level of detail in the source data? Why is that important? Combining source data to bring in more fields and rows Saving the data flow and the results of our data prep work Common cleanup and setup tasks in Tableau Desktop You will: Recognize data sources that are good candidates for analytics in Tableau Connect to local, server, and cloud-based data sources Profile data to better understand its content and structure Rename fields, adjust data types, group data points, and aggregate numeric data Pivot data Join data from local, server, and cloud-based sources for unified analytics Review the steps and results of each phase of the Data Prep process Output new data sources that can be reviewed in Tableau or any other analytics tool.
630 0 0 $a Tableau (Computer file) $3 3219975
650 0 $a Information visualization. $3 615673
650 1 4 $a Computer Applications. $3 891249
700 1 $a Blackshear, Lori. $3 3446653
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-5497-4
950 $a Professional and Applied Computing (Springer-12059)