Class Nineteen; Text (Introduction to Tableau)

Tableau is most known for its wide range of data visualization capabilities, and is often used interchangeably with other traditional BI tools. Analysts use it to examine data with SQL and build data solutions for business decision-makers, who in turn use it to analyze data

 TYPES OF TABLEAUS

Tableau visualization and analytics product offerings include:

1.      Tableau Desktop: used to connect to data, explore data, do analytics, and create reports, dashboards and story boards.

2.      Tableau Online: a software as a service (SaaS) offering for enterprises, offering the same functionality as the on-premises version and hosted by Tableau on its servers.

3.      Tableau Server: a platform that lets enterprises share reports, dashboards and data sources across the enterprise. It’s either hosted on premises or through Amazon Web Services (AWS). Tableau Server supports large enterprises by providing governance, security, scalability and performance.

4.      Tableau Mobile: a free app for iPad, iPhone, Android tablet and mobile browsers, enabling users to author a dashboard once, then view or edit it anywhere, on any device.

5.      Tableau Public: a free platform that can be accessed by anyone and is commonly used by journalists, bloggers and data enthusiasts to analyze public and private data.

TO CONNECT DATA SOURCE INTO TABLEAU.

To get started, open Tableau and click on the “Connect” button in the top left corner of the screen. This will open the Connect pane, which allows you to choose the type of data source you want to connect to. In the Connect pane, you’ll see a list of data source types that Tableau can connect to.

DATA INTERPRETER

Data Interpreter is a data analysis tool for cleaning and organizing data. It can detect titles, notes, footers, empty cells, untidy data, tables, sub-tables, fields in a dataset, and perform necessary joins on tidy data. So, the all option are correct.

The Data Interpreter is a tool within Tableau that allows reading in such files, even if they are not in the format, you would want them to be.

The Data Interpreter can detect things like header, footers, notes, or titles, that you don’t want to include in your visualizations.

Data interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. The interpretation of data helps researchers to categorize, manipulate, and summarize the information in order to answer critical questions.

 TO JOIN DATA IN TABLEAU

DATA VISUALIZATION

Steps to consider when visualizing

1: Define a clear purpose.

 2: Know your audience.

3: Keep visualizations simple.

4: Choose the right visual.

 5: Make sure your visualizations are inclusive.

6: Provide context.

 7: Make it actionable.

What is visualization in Tableau?

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

To create a visualization in Tableau, you first need to connect to a data source. Then, you can drag and drop a field from the data source onto the canvas. This will create a basic visualization, such as a bar chart or a scatter plot. You can then customize the visualization by adding or removing fields, changing the axes, and adding labels and other elements.

Visualization in Tableau is possible through dragging and dropping Measures and Dimensions onto these different Shelves.

Rows and Columns: Represent the x and y-axis of your graphs/charts.

Filter: Filters help you view a strained version of your data. For example, instead of seeing the combined Sales of all the Categories, you can look at a specific one, such as just Furniture.

Marks: The Marks property is used to control the mark types of your data. You may choose to represent your data using different shapes, sizes or text.

And finally, there is Show Me, the brain of Tableau!

 When you drag and drop fields onto the visualization area, Tableau makes default graphs for you, as we shall see soon, but you can change these by referring to the Show Me option.

Note: Not every graph can be made with any combination of Dimensions or Measures. Each graph has its own conditions for the number and types of fields that can be used, which we shall discuss next.

Drag Country and drop it in Columns.

Drag Order quantity and drop it in Rows

Finally, drag country over to Color in the Marks Pane to get color for each country and drag order quantity to label in the Mark pane to label the chart.

Note: Whenever you have some geographical data, it is always advisable to plot and see it on a Map to gain better insights.