Part 1 Tableau Data Analysis

Data Analysis is a fun task to do and if you love data, Tableau can give you a lot of flexibility to play with and totally understand the underlying data and also help you share with your audiences very easily. Below is the data analysis process:

Data Discovery is the first thing you do. In Tableau, you need to connect to a data source to discover.

Tableau can connect to any data-source from files, database, or Cloud services that you can think of. It is growing in terms of the data sources support.

Quick Start

  1. Open Tableau Desktop
  2. Click Connect -> select your data source.
  3. Now you are ready to discover.

We need to understand two terms:

  • Measure – value which Tableau can aggregate using SUM, MIN, MAX, AVG.
  • Dimension – is a distinct value such as male, female.

There are two colors in the data pane.

  • Blue – discrete value such as region – we can use in Color property in Tableau.
  • Green – continue us value such as sales, temperature – when we use in Color property in Tableau, it will show gradient shade color.

It is very important to note that continuous and discrete are different concepts from Measure and Dimension. While most dimensions are discrete by default, and most measures are continuous by default, it is possible to use any measure as a discrete field and some dimensions as continuous fields in the view. Right click on the dimension or measure, and Convert to Discrete or Continuous…

  • Choosing between dimension and measure tells Tableau how to slice or aggregate the data.
  • Choosing between discrete and continuous tells Tableau how to display the data with a header or an axis and def

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