
Tableau: Creating Interactive Data Visualizations
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
All prices
More details
Persons
Ashutosh R. Nandeshwar has extensive experience in data mining, machine learning, and information visualization. He is one of the few analytics professionals in the higher education industry who have developed analytical solutions for all stages of the student lifecycle (from recruitment to giving). He enjoys speaking to technical and non-technical audiences about the power of data as well as ranting about data professionals' chasing of "interesting" things. He received his PhD/MS from West Virginia University and BE from Nagpur University, all in Industrial Engineering. You can follow him on Twitter, @n_ashutosh, and on his website, http://www.nandeshwar.info.Ohmann Ashley :
Ashley Ohmann started her career in technology as a Flash and HTML developer at the Emory University School of Medicine while studying Classics as an undergraduate at Emory University. After learning how to write SQL to help create a fraud detection system for a client, she pursued information management and data analytics as a vocation. While working for a multinational manufacturing company, she was asked to evaluate Tableau Desktop and Tableau Server; consequently, her team became one of the first to implement the suite of tools for their enterprise. Ashley's career with Tableau's products has included work as a consultant, trainer, and a professional services practice director. She is a frequent contributor to the San Francisco and Phoenix Tableau User Groups. A native of Highlands, NC and Atlanta, GA, Ashley is a proud alumna of Rabun Gap Nacoochee School. She also studied German and Chemistry at Mount Holyoke College before graduating from Emory. Ashley's roots go back to south Georgia; she grew up listening to the stories of her large extended family, which inspired her to spend her career helping other people learn how to tell their own stories using a variety of media. Currently, she lives in the Pacific Northwest with her family, where they enjoy skiing, the beauty of God's great creation, and practicing permaculture on their 10 acre farm.Stirrup Jen :
Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.
Content
- Cover
- Copyright
- Credits
- Preface
- Table of Contents
- Module 1: Tableau Dashboard
- Chapter 1: A Short Dash to Dashboarding!
- Introduction
- Preparing for your first dashboard
- Showing the power of data visualization
- Connecting to data sources
- Introducing the Tableau interface
- Interacting with your first data visualization
- Sharing your visualization with the world
- Chapter 2: Summarizing Your Data for Dashboards
- Introduction
- Arithmetic - the queen of mathematics!
- Dashboards and dates
- Grouping your data with calculations
- Correlation with calculations
- Using cross-tabs flexibly
- Simplifying your business rules with custom calculations
- Chapter 3: Interacting with Data for Dashboards
- Introduction
- Fun with filters - grouping your data with clarity
- Hierarchies for revealing the dashboard message
- Classifying your data for dashboards
- Actions and interactions
- Drilling into the details
- Working with input controls
- Chapter 4: Using Dashboards to Get Results
- Introduction
- Enriching data with mashups
- Page trails
- Guided analytics with Tableau
- Sharing your results in a meeting
- Notes and annotations
- Using external data to enrich your dashboard
- Chapter 5: Putting the Dash into Dashboards
- Introduction
- Choosing your visualization
- Using parameters in dashboards
- Using custom geocoding in Tableau
- Profiting from Big Data to rev your visualization
- Filtering your data for focus
- Creating choices in dashboards using conditional logic
- Chapter 6: Making Dashboards Relevant
- Introduction
- Adding an infographic to your Tableau dashboard
- String manipulation in dashboards
- Correcting data exports from Tableau to Excel
- Blending data
- Optimizing tips for efficient, fast visualization
- Chapter 7: Visual Best Practices
- Introduction
- Coloring your numbers
- Dueling with dual axes
- Where is the three-dimensional data?
- Eating humble pie - Pie charts or not?
- Sizing to make a data story
- Module 2: Data Visualization with Tableau
- Chapter 1: Connecting to Data Sources
- Introduction
- Connecting to text files
- Connecting to Excel files
- Connecting to Access databases
- Connecting to a SQL Server
- Pasting from a clipboard
- Connecting to other databases
- Connecting to Windows Azure Marketplace
- Understanding dimensions and measures
- Changing data types
- Applying filters
- Merging multiple data sources
- Chapter 2: Creating Univariate Charts
- Introduction
- Creating tables
- Creating bar graphs
- Creating pie charts
- Sorting the graphs
- Creating histograms
- Creating line charts
- Using the Show Me toolbar
- Creating stacked bar graphs
- Creating box plots
- Showing aggregate measures
- Showing the top 10 items
- Chapter 3: Creating Bivariate Charts
- Introduction
- Creating tables
- Creating scatter plots
- Swapping rows and columns
- Adding trend lines
- Selecting color palettes
- Using dates
- Chapter 4: Creating Multivariate Charts
- Introduction
- Creating facets
- Creating area charts
- Creating bullet graphs
- Creating dual axes charts
- Creating Gantt charts
- Creating heat maps
- Chapter 5: Creating Maps
- Introduction
- Setting geographic roles
- Placing marks on a map
- Overlaying demographic data
- Creating choropleth maps
- Using polygon shapes
- Customizing maps
- Chapter 6: Calculating User-defined Fields
- Introduction
- Using predefined functions
- Calculating percentages
- Applying the If-Then logic
- Applying logical functions
- Showing totals
- Showing the percentage of totals
- Discretizing data
- Manipulating text
- Aggregating data
- Chapter 7: Customizing and Saving
- Introduction
- Adding title and caption
- Modifying font sizes and colors
- Applying various marks
- Adding colors
- Adding labels
- Changing marks sizes
- Adding reference lines
- Printing to PDF
- Saving packaged workbooks
- Creating a workbook data extract
- Chapter 8: Exporting and Sharing
- Introduction
- Saving a workbook on a Tableau server
- Saving a workbook on the Web
- Exporting images
- Exporting data
- Chapter 9: Exploring Advanced Features
- Introduction
- Viewing data
- Changing the mark size
- Using the presentation mode
- Adding annotations
- Excluding data on the fly
- Customizing mark shapes
- Adding drop-down selectors
- Adding search box selectors
- Adding slider selectors
- Creating dashboards
- Creating animated visualizations
- Creating parameters
- Module 3: Creating Data Stories with Tableau Public
- Chapter 1: Getting Started with Tableau Public
- A Tableau Public overview
- Telling your story with Tableau Public
- Installing Tableau Public
- Opening files and creating your profile
- Discover
- Exploring the visualizations of other authors
- Summary
- Chapter 2: Tableau Public Interface Features
- Touring the Tableau Public user interface
- Using the Marks card
- The Show Me tool
- Summary
- Chapter 3: Connecting to Data
- Public data
- Tables and databases
- The data sources that Tableau Public connects to
- The databases, tables, dimensions, facts, field formats and conventions
- Connecting to the data in Tableau Public
- Summary
- Chapter 4: Visualization - Tips and Types
- An overview of the development lifecycle
- Ten visualization tips
- The perception of visual clues
- Using the Show Me tool to create charts
- Answering questions using Show Me chart types
- Types of visualization
- Summary
- Chapter 5: Calculations
- Creating calculated fields
- Types of calculations
- The number functions
- The date functions
- Type conversions
- The string functions
- The aggregate functions
- The logic functions
- Blending data sources
- Summary
- Chapter 6: Level of Detail and Table Calculations
- About data sources
- Creating quick table calculations
- Changing over time
- Compute using
- Manually editing table calculations
- Ranking
- Window versus running functions
- The level of detail calculations
- Summary
- Chapter 7: Dashboard Design and Styling
- The dashboard design process
- Best practices for dashboard design
- Creating a dashboard
- The dashboard tab interface
- Setting the size of dashboard elements
- Summary
- Chapter 8: Filters and Actions
- Adding and using Filters
- Filtering across Data sources with parameters
- Actions
- URL actions
- Summary
- Chapter 9: Publishing Your Work
- Saving your work and logging in to Tableau Public
- Opening work from the Cloud
- Managing your profile
- Viewing your work online
- Managing workbook details
- Summary
- Bibliography
System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePub works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our ebook Help page.
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.