Tableau interview questions

Tableau interview questions

Tableau software is a basic requirement for any business to gain insight into the development of the company. It allows any non-technical user to easily create or develop the customized dashboards that facilitate insight to a broad spectrum of information. It is a must know interactive business intelligence tool in the field of data visualization. Therefore, the candidates who seek the scope in data visualization can get themselves acknowledged as Tableau, which can help them reach their goals. Below are some Tableau Interview questions which can help the candidates crack the interview and achieve a job.

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Tableau interview questions

Tableau gives an unmistakable and powerful tool to control down the output display, which is known as Page shelf. As the name recommends, the page shelf parts the view into a series of pages, displaying an alternate view on each page, making it easier to understand and minimizing scrolling to analyze and see information and data.

The data connection information that depicts what information you need to acquire to Tableau for analysis. When you associate with the data in Tableau Desktop, you can make joins, including joins between tables from various data types. You can rename fields on the Data Source page to be more expressive for the people who work with your distributed data source.

Tableau is a data visualization tool that allows the user to develop an interactive and apt visualization in the form of dashboards, worksheets for the betterment of the business.

Some of the dashboard components are:
  • Horizontal component: In the dashboard the horizontal component’s containers allow the designer to combine the worksheets and dashboards components from left to right across the user’s page and the height of the elements are edited at once.
  • Vertical component: In the dashboard Vertical component’s containers allows the user to combine the worksheets and dashboard components from left to right across the user’s page and the width of the elements are edited at once.
  • Text: It is an alphabetical order.
  • Image Extract: A Tableau is in XML format. In case of extracting images, the Tableau applies the codes to extract an image can be stored in XML.
  • Web [URL ACTION]: A Web URL action is a certain type of hyperlink that directs to a web page always or to any other web-based resource that is residing outside of Tableau. The user can hence use the URL actions for linking up of more information about the user’s data, which might be hosted outside of the user’s data source. In order make the link relevant to the user data, the user can substitute field values of a selection into the URL as parameters.
  • VizQL is a visual inquiry language that interprets simplified activities into data questions and after that communicates that information visually.
  • VizQL conveys dramatic gains in individuals’ capacity to see and understand information by abstracting the hidden complexities of question and analysis.
  • The result is an instinctive user encounter that gives people to answer questions as quickly as they can consider them.

Data sources and workbooks are published when you need to enlarge the audience for your data analysis inside your association. By publishing you can start to do the following:

  • Collaborate and offer with others
  • Centralize information and database driver administration
  • Support portability

Line charts interface singular information points in a view. They give a basic method to imagine an arrangement of qualities and are helpful when you need to see trends after some time, or to figure future qualities. A Line Chart is the quite popular kind of the data visualization. Generally speaking, it is utilized to emphasize trends in information over equivalent time interims, for example, quarters, months, financial years, and much more.

There are many file types and extensions in Tableau.
Some of the file extensions in Tableau are:
  • Tableau Workbook (.twb).
  • Tableau Packaged Workbook (.twbx).
  • Tableau Datasource (.tds).
  • Tableau Packaged Datasource (.tdsx).
  • Tableau Data extract (.tde).
  • Tableau Bookmark (.tdm).
  • Tableau Map Source (.tms).
  • Tableau Preferences (.tps)

A histogram is a plot that gives you a chance to find, and show, the basic frequency (shape) of an arrangement of continuous information. This allows the examination of the information for its hidden distribution, anomalies, sleekness, and so on.

We can join a maximum of 32 tables in Tableau. Table size should also be restricted to 255 columns.

It is a change you apply to the values of a single measure in your view, based on measurements in the level of detail.

A treemap is a visual technique for showing various leveled information that utilizations settled rectangles to speak to the branches of a tree chart. Every rectangle has a territory corresponding to the amount of information it speaks. A treemap is made from a tiling calculation intended to give every rectangle an aspect ratio of one and make a feeling of order in the display of the input data.

Hierarchy in Tableau gives drill down activity to the Tableau report. With the assistance of tiny + and – symbols, we can explore from a larger level to settled level or lower level. When you interface with an information source, Tableau consequently separates date fields into hierarchies so you can without much of a stretch separate the viz. You can also make your particular hierarchies.

The radical difference actually lies in the application.
The parameters allow users to insert the values, which can be integers, float, date, string that can be used in calculations.
The filters only receive values users choose to ‘filter by’ the list, which cannot be used to calculate.
The users can dynamically change the dimensions and measures in parameter but filters do not approve the feature.

In Database terms, each row in the certainty table will contain a combination roe in measurement table. Utilizing this strategy, we manufacture Primary and Foreign Keys for joining two tables. By choosing Assume Referential Integrity, you reveal to Tableau that the joined tables have referential integrity. In another word, you are confirming that the fact table will dependably have a coordinating row in the Dimension table.