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Tableau Prep : Up & Running /
For self-service data preparation, Tableau Prep is relatively easy to use-as long as you know how to clean and organize your datasets. Based on the popular blog Preppin' Data, this practical guide takes you step-by-step through the fundamentals of data preparation using this popular tool. Carl...
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
O'Reilly Media, Inc.,
2020.
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| Edición: | 1st edition. |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a Tableau Prep : |b Up & Running / |c Allchin, Carl. |
| 250 | |a 1st edition. | ||
| 264 | 1 | |b O'Reilly Media, Inc., |c 2020. | |
| 300 | |a 1 online resource (300 pages) | ||
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| 520 | |a For self-service data preparation, Tableau Prep is relatively easy to use-as long as you know how to clean and organize your datasets. Based on the popular blog Preppin' Data, this practical guide takes you step-by-step through the fundamentals of data preparation using this popular tool. Carl Allchin from the Data School in London provides a series of lessons to get you up to speed on Tableau Prep, including methods for cleaning and organizing your datasets. In just a short time, this tool has filled a valuable niche for self-service data preparation in the same way Tableau Desktop has for self-service data analytics. This book gets you started with Tableau Prep right away. Learn fundamental data preparation strategies for approaching complex challenges Understand how to apply those skills in more depth with Tableau Prep Manage projects that require data preparation with more confidence Learn how Tableau Prep will empower you to make informed decisions. | ||
| 542 | |f Copyright © O'Reilly Media, Inc. | ||
| 550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
| 588 | |a Online resource; Title from title page (viewed September 25, 2020) | ||
| 505 | 0 | |a Intro -- Preface -- Why I Wrote This Book -- Who This Book Is For -- How This Book Is Organized -- Acknowledgments -- Conventions Used in This Book -- Using Code Examples -- O'Reilly Online Learning -- How to Contact Us -- 1. Why Self-Service Data Prep? -- A Short History of Self-Service Data Visualization -- Accessing the "Right Data" -- The Self-Service Data Preparation Opportunity -- Tableau Prep Up and Running -- Summary -- I. Getting Started -- 2. Getting Started with Tableau Prep Builder -- Where to Get Tableau Prep Builder -- How to Get a License for Prep Builder | |
| 505 | 8 | |a The Tableau Prep Builder Screen -- Basic Steps of Data Preparation -- Input Step -- Clean Step -- Output Step -- Saving a Flow -- Summary -- 3. Planning Your Prep -- Stage 1: Know Your Data -- Stage 2: Identify the Desired State -- Stage 3: Determine the Required Transitions from KYD to the Desired State -- Stage 4: Build the Workflow -- Summary -- 4. Shaping Data -- What to Look for in Incoming Data Sets -- What Shape Is Best for Analysis in Tableau? -- Changing Data Set Structures in Prep Builder -- Pivot -- Aggregate -- Join -- Union | |
| 505 | 8 | |a Applying Restructuring Techniques to the Ice Cream Example -- Step 1: Pivot Columns to Rows -- Step 2: Pivot Rows to Columns -- Summary -- 5. Connecting to Data in Files -- Files Upon Files Upon Files -- Spreadsheets -- Other File Types -- Where to Find Your Data Files -- How to Connect to Files in Prep -- Considerations for Saving Flows with File Inputs -- Summary -- 6. Connecting to a Database -- What Is a Database? -- How to Connect to a Database Within Prep Builder -- When to Avoid Connecting to a Database -- Summary -- II. Data Types -- 7. Dealing with Numbers -- What Do We Mean by Numbers? | |
| 505 | 8 | |a Types of Numbers -- Category or Measure? -- Aggregation -- Formatting Numbers -- Functions for Mastering Numerical Data -- Summary -- 8. Dealing with Dates -- Why Are Dates Important? -- Parts of a Date -- Date Lookup Tables -- Epoch Dates -- Excel Serial Number -- Entering Dates -- The makedate() Function -- The dateparse() Function -- Summary -- 9. Dealing with String Data -- What Do We Mean by Strings? -- How String Data Is Different -- Character Order -- Formatting Considerations -- Names -- Case sensitivity -- Addresses -- Spaces -- Poor or inconsistent spelling | |
| 505 | 8 | |a Common Functions for Preparing String Data -- Grouping and Replace Options for Working with String Data -- Summary -- 10. Dealing with Boolean Data -- What Is Boolean Data? -- Why Is It So Useful in Data Analysis? -- Functions Featuring Boolean Logic -- IIF() -- contains() -- IsDate() -- IsNull() -- IF/THEN -- CASE -- Summary -- III. The Shape of Data -- 11. Profiling Data -- What Is a Profile? -- Why Visualizing the Data Set Is Important -- Anscombe's Quartet -- Visualizations Versus Data Tables -- How Prep Builder Profiles Data -- Generating Histograms and Mini-Histograms | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 710 | 2 | |a Safari, an O'Reilly Media Company. | |
| 776 | 0 | 8 | |i Print version: |a Allchin, Carl. |t Tableau Prep: up and Running. |d Sebastopol : O'Reilly Media, Incorporated, ©2020 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781492079613/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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