Tableau Server的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Maximizing Tableau Server: A beginner’’s guide to accessing, sharing, and managing content on Tableau Server

為了解決Tableau Server的問題，作者Sarsfield, Patrick,Locker, Brandi 這樣論述：

悠遊卡大數據通勤旅次行為分析- 以台北內湖科技園區為例

為了解決Tableau Server的問題，作者王欣立 這樣論述：

誌謝摘要ABSTRACT目錄表目錄圖目錄第一章、 緒論1.1 研究背景與動機1.2 研究目的與問題1.2.1 研究目的1.2.2 研究問題1.3 研究範圍1.4 論文架構第二章、 文獻探討2.1 旅運分析2.1.1 旅次鏈(Trip Chain)2.1.2 旅運轉乘分析2.2 大數據2.3 電子收付費系統（Electronic Payment System, EPS）2.3.1 悠遊卡(EasyCard)2.3.2 公共運輸定期票2.4 旅運分析與資料探勘2.5 小結第三章、 研究方法3.1 研究架構3.2 研究工具3.2.1 資料庫3.2.2 結構化查詢語言（Structured Quer

y Language，SQL）3.2.3 Windows SQL Server 2019 Express3.3 資料庫初步處理3.4 資料篩選及處理流程3.4.1 資料篩選3.4.2 資料欄位串聯3.4.3 轉乘判斷3.5 群聚分析法-時間分群3.6 Tableau視覺化分析平台3.7 資料分析流程範例說明3.8 熱力圖範例說明第四章、 資料分析與結果4.1 捷運平假日進出站特性分析4.1.1 捷運西湖站4.1.2 捷運港墘站4.1.3 捷運文德站4.2 捷運晨昏尖離峰運量分析4.2.1 捷運西湖站4.2.1 捷運港墘站4.2.1 捷運文德站4.3 捷運旅次分析4.3.1 搭乘捷運進入內科4.

3.2 搭乘捷運離開內科4.4 捷運轉乘分析4.4.1 捷運轉乘公車4.4.2 捷運轉乘YouBike4.4.3 公車轉乘捷運4.4.4 YouBike轉乘捷運4.5 COVID-19疫情對通勤旅次影響第五章、 結論與建議5.1 結論5.2 建議5.2.1 政府公共運輸政策方面5.2.2 實務方面5.3 研究限制及未來研究方向

Prepare Your Data for Tableau: A Practical Guide to the Tableau Data Prep Tool

為了解決Tableau Server的問題，作者Costello, Tim,Blackshear, Lori 這樣論述：

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 impo

rtant parts of the Tableau Data Prep toolConnecting to dataData quality and consistencyThe 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 rowsSaving the data flow and the results of our data prep workCommon cleanup and setup tasks in Tableau DesktopWhat You Will LearnRecognize data sources that are good candidates for analytics in TableauConnect to local, server, and cloud-based data sourcesProfile data to better understand its c

ontent and structureRename fields, adjust data types, group data points, and aggregate numeric dataPivot dataJoin data from local, server, and cloud-based sources for unified analyticsReview the steps and results of each phase of the Data Prep processOutput new data sources that can be reviewed in T

ableau or any other analytics toolWho This Book Is ForTableau Desktop users who want to: connect to data, profile the data to identify common issues, clean up those issues, join to additional data sources, and save the newly cleaned, joined data so that it can be used more effectively in Tableau T

im Costello is a senior data architect focused on the data warehouse life cycle, including the design of complex ETL (Extract, Transform, Load) processes, data warehouse design and visual analytics with Tableau. He has been actively involved with Tableau for almost 10 years. He founded the Dallas/Fo

rt Worth Tableau user group. He has delivered hundreds of Tableau classes online and in person all over the USA and Canada.When Tim isn’t working with data, he is probably peddling his bicycle in circles around DFW airport in Dallas, Texas. He aspires to be a long distance rider and enjoys going on

rides ranging over several days and hundreds of miles at a time.Lori Blackshear is a senior business process architect and expert at facilitating meaningful and productive communication between business and technology groups. She has deep experience in healthcare (human and veterinary), software dev

elopment, and research and development in support of emergency services.Lori served as a paramedic in Fort Worth, Texas and Nashville, Tennessee before shifting careers to helping people solve problems with data. When Lori isn’t pondering business processes, she is active in the Fort Worth Civic Orc

hestra (violin) and the East Fort Worth Community Jazz band (tenor saxophone).