1. Connecting to Data Sources
by Matt Floyd, Ashley Ohmann, Ashutosh Nandeshwar, Jen Stirrup
Tableau: Creating Interactive Data Visualizations
- Tableau: Creating Interactive Data Visualizations
- Table of Contents
- Tableau: Creating Interactive Data Visualizations
- Tableau: Creating Interactive Data Visualizations
- Credits
- Preface
- 1. Module 1
- 1. A Short Dash to Dashboarding!
- 2. Summarizing Your Data for Dashboards
- 3. Interacting with Data for Dashboards
- 4. Using Dashboards to Get Results
- 5. Putting the Dash into Dashboards
- 6. Making Dashboards Relevant
- 7. Visual Best Practices
- 2. Module 2
- 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
- 2. Creating Univariate Charts
- 3. Creating Bivariate Charts
- 4. Creating Multivariate Charts
- 5. Creating Maps
- 6. Calculating User-defined Fields
- 7. Customizing and Saving
- 8. Exporting and Sharing
- 9. Exploring Advanced Features
- 1. Connecting to Data Sources
- 3. Module 3
- 1. Getting Started with Tableau Public
- 2. Tableau Public Interface Features
- 3. Connecting to Data
- 4. Visualization – Tips and Types
- 5. Calculations
- 6. Level of Detail and Table Calculations
- 7. Dashboard Design and Styling
- 8. Filters and Actions
- 9. Publishing Your Work
- A. Bibliography
- Index
We will cover the following topics in this chapter:
- 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
This chapter will cover the basics to get Tableau connected with various data sources, such as text files, Excel/Access files, SQL Server, ODBC sources, and the clipboard. We will cover simplistic versions of data files, where data is clean and ready-to-use. This chapter also covers how to apply filters to reduce the available data for analysis as well as merging two different data sources.
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