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Tableau Prep: Up & Running: Self-Service Data Preparation for Better Analysis

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For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets.

Based on Allchin’s popular blog, Preppin’ Data, this practical guide takes you step-by-step through Tableau Prep’s fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information.

  • Know what to look for when you prepare data
  • Learn which Tableau Prep functions to use when working with data fields
  • Analyze the shape and profile of your dataset
  • Output data for analysis and learn how Tableau Prep automates your workflow
  • Learn how to clean your dataset using Tableau Prep functions
  • Explore ways to use Tableau Prep techniques in real-world scenarios
  • Make your data available to others by managing and documenting the output
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Bootstrapping Microservices with Docker, Kubernetes, and Terraform: A project-based guide
Bootstrapping Microservices with Docker, Kubernetes, and Terraform: A project-based guide
Summary
The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You’ll get your feet wet using
...
Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning
Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning
This book introduces you to the world of data science. It reveals the proper way to do data science. It covers essential statistical and programming techniques to help you understand data science from a broad perspective. Not only that, but it provides a theoretical, technical, and mathematical foundation for problem-solving...
Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python
Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python

*** Book also provides you FREE Access to Online Instructional Videos. See video codes in the book ***

This book is about the 23 common GoF (Gang of Four) Design Patterns implemented and in Python.

A Design Pattern is a description or template that can be repeatedly applied to a commonly recurring...


JavaScript Simplified: JavaScript Simplified And Turned To Fun (Web Development Simplified)
JavaScript Simplified: JavaScript Simplified And Turned To Fun (Web Development Simplified)

This book is simplified version to make you fully understand JavaScript. This book is simple enough to make you fully understand JavaScript  and ES6 without wasting your time and buggle your brain with complex theories or explanations. This book is fully practical in nature and simplified...

Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition
Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition

Leverage Docker to deploying software at scale

Key Features

  • Leverage practical examples to manage containers efficiently
  • Integrate with orchestration tools such as Kubernetes for controlled deployments
  • Learn to implement best practices on improving...
Financial Accounting For Dummies, 2nd Edition
Financial Accounting For Dummies, 2nd Edition

Learn to speak fluent finance—and ace your exams!  

Warren Buffett said that “accounting is the language of business.’’ And for many accounting and business students, the obscure terminology of accounting...

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