Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Tableau 2019.x Cookbook
  • Table Of Contents Toc
Tableau 2019.x Cookbook

Tableau 2019.x Cookbook

By : Dmitry Anoshin, Rintaro Sugimura, Matic, Bogdanovic, Lincoln, Shirokov
3.4 (5)
close
close
Tableau 2019.x Cookbook

Tableau 2019.x Cookbook

3.4 (5)
By: Dmitry Anoshin, Rintaro Sugimura, Matic, Bogdanovic, Lincoln, Shirokov

Overview of this book

Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features.
Table of Contents (18 chapters)
close
close

Introduction

Before doing any work in Tableau, we must first connect to the data we'll be working on. In the first recipe in this book, Connecting to data, we learned how to connect to a data source. In this chapter, we'll build on that knowledge to become more skillful at manipulating, joining, unioning, and transforming data sources. In the last recipe of this chapter, Preparing data, we'll also address the topic of data preparation and getting our data ready for visualizing and further analysis.

In this chapter, we'll be using multiple datasets. In the first recipe, Joining data sources, we'll be using two datasets, Public_Schools_1.csv and Public_Schools_2.csv, which contain data on Boston public schools for the school year 2018/2019. The dataset originally comes from Kaggle's official site. In the Adding a secondary data source and Data blending...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Tableau 2019.x Cookbook
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon