Using data visualization practices makes the business entities represent complex data in an easy-to-understand way. One of the popular data visualization tools in use is Tableau, which allows interactive data visualizations. Many giant companies are using Tableau for their business data operations. Also, there is a good demand for Tableau professionals in the market with high-end skills, which is growing steadily.
Suppose you're interested in making a bright career in data visualization and want to know how to crack interviews. Then, you can go through these frequently asked Tableau Questions and Answers. These interview questions are compiled by taking various opinions from Tableau experts. You will get all the different types of Tableau Interview Questions.
So let us start with the beginner-level Tableau interview questions.
Ans: Tableau is the most powerful data visualization tool in the modern business intelligence Industry. With Tableau, data analysis becomes much faster and simpler. Also, it helps to simplify the raw data into an easy-to-understand format. It allows the creation of dashboards, making the data visualization much more interactive and easy to understand. Thus, employees working at different levels in an entity can easily understand the visual representation of data.
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Ans. The term data visualization refers to the graphical representation of data. It makes the data easy to understand through visualization tools. Also, it will be easy to access the data. Here, you can use different visual items such as graphs, charts, bars, maps, and many more.
Ans. Below are the different Data Types that support Tableau:
Ans. A heat map is useful where there is a large data set overlaps the data values. It is a kind of graphical representation of data that uses a color-coding scheme to represent different data values. Here it uses warm and cold colors to present the values. As the values go higher, the marks heat up, and as a result, you will see dark colors on the map.
Ans. Filters in Tableau are useful for building dashboards and help reduce the size of data sets. It makes them efficient and eliminates the unnecessary dimension elements, etc. It is a process of eliminating certain data or values from the result set. Moreover, filters are applied in a worksheet to limit the data of records in a data set.
There are different types of Tableau Filters available to use:
Ans. In Tableau, LOD Expression refers to the Level of Detail Expression. This expression is useful for running complex queries that include many dimensions at the data source and visualization levels.
Ans. TreeMap in Tableau is a type of data visualization that uses nested rectangles to show the data. The TreeMap is useful generally to represent large-size data. It is a type of graph that you can use to compare hierarchical data. Also, TreeMap is used as a chart to analyze data anomalies.
Ans. Parameters in Tableau are dynamic values or workbook variables that can replace the constant values in calculations or filters such as a date, string, or number.
Example: Suppose you're creating a filter that displays the top Ten products that give higher profits rather than their fixed value. Here, you can use parameters to easily update the filter to present the top 10 or any number of products.
Ans. A tableau dashboard is a collection of different visualization types that simultaneously presents different types of data. It allows you to put different elements of various worksheets on a single dashboard. Hence, it is the most effective and efficient method to view and analyze data simply.
Ans. In Tableau, there are two different connection types available:- Live & Extract
Live: It helps to build a direct connection to the data source that helps data to fetch directly from tables. Live connections allow Tableau to query and read from your database. Moreover, it provides real-time updates regarding changes in the Tableau data source.
Extract: Tableau Extracts are the data snapshots extracted from the data source. Also, you can put them into the Tableau repository, which is useful for improving performance. You can periodically refresh these data snapshots. Further, when you build an extract of the available data, you can minimize the data size using filters.
Ans. The following are the different Tableau products in use.
It is the most useful data visualization and business analytics tool from Tableau. Anyone can use it to connect with data directly from the data storage (warehouse) for the latest data analysis. Further, it helps to transform data images into optimized queries to understand well. Moreover, it helps build different reports, dashboards, charts, and graphs.
Tableau Reader is a free desktop app useful to open and interact with various data visualizations built in Tableau Desktop.
It is a web-based online platform that allows you to host and manage dashboards and reports published in Tableau Desktop. You can easily share them across the organization using the online Tableau Server. Further, you need a web browser to access Tableau Server, build dashboards and workspaces, and publish reports.
Tableau Online includes the Tableau Data Server that helps to publish data sources much faster and update them automatically. It is also a data-sharing tool that you can use to share a dashboard that you publish with Tableau Desktop.
It is free to use the platform to make data visualizations, explore, build, and share them publicly online. Further, it allows users to connect to a worksheet and develop interactive visualizations for the web. It allows anyone to build data visualizations.
In Tableau, dimensions are the independent variables and qualitative values such as dates, names, Size, Color, etc. Further, dividing another field into separate groups is a useful field.
Tableau measures include certain numeric and quantitative data values analyzed by dimension tables, such as sales, profit, quantity, orders, etc. Further, you can aggregate measures in Tableau. Also, these can be stored within a table that includes foreign keys that uniquely refers to the related dimension tables.
Ans. Data types in Tableau provide information about the type of data that Tableau stores in the data source. There are different data types available in Tableau, such as Date, String, Data & Time, Boolean, Numbers, Geographical, and Mixed values.
Ans. The 'Joins' in Tableau are similar to SQL joins, where a join combines the data and aggregates it. There are different types of Joins in Tableau, such as Inner, Left, Right, and Full outer joins.
Ans. Data Blending refers to combining data from two or more data sources such as Oracle, Excel, etc. Moreover, each data source includes a separate set of measures and dimensions in the data blending.
On the other hand, Data joining refers to combining data from two or more tables or worksheets from the same data source.
Ans. The maximum number of tables you can join in the Tableau software is 32.
Related Article: Looker vs Tableau
Ans. In Tableau, a calculated field is useful to build new fields from the current data in the data source. Moreover, you can build more robust visualizations, and it doesn't affect the original dataset.
For example, let's see the calculation of the "average delay to ship an order."
Here we take the data set that contains the information related to the order date and ship date for five different areas. Let's build a calculated field:
Ans. We can present the sales using the In & Out functionality of sets.
The following are the steps to follow:
Hence, you will see the top five Sales will appear.
Ans. A Group in Tableau software is one-dimensional, and a collection of different members combined to build a higher category. On the other hand, Tableau sets are custom fields useful to build a data subset based on certain conditions that a user defines.
Ans. A heat map in Tableau is useful where there is a large data set overlaps the data values. It is a kind of graphical representation of data that uses a color-coding scheme to represent different data values.
In Tableau, a TreeMap is a type of data visualization that uses nested rectangles to show the data. The TreeMap is useful generally to represent large-size data. It is a type of graph that you can use to compare hierarchical data.
The extension .twb is an XML document containing the data interaction instructions. Further, it consists of all the selections and layouts you have built within your Tableau workbook.
On the other hand, a .twbx extension is a 'zipped' archive and a packaged workbook containing a .twb extension. Also, it includes any external files like extracts and background images that don't support local file data.
The data visualization software Tableau holds a workbook and a worksheet file structure, similar to Microsoft Excel.
Ans. Blended Axis in Tableau is useful to blend or mix two measured values into a single axis. Also, this is useful when multiple graphs or charts use more than two measures.
Ans. In Tableau, Dual Axis is an excellent experience that allows users to compare measures in the same graph. It is useful when there are two different measures to compare. Many websites use the Tableau dual axis to display the comparison between two measures and their growth rate. Moreover, this axis allows you to compare many measures at once.
Ans. The ranking in Tableau allows a position to be something that is generally within a category and is measure-based. Thus, it accepts two types of arguments - Aggregated measure and Ranking order. Moreover, Tableau helps to rank in multiple ways, such as:
Ans. While you work with maps and other geographical fields, you can see that the indicator identifies some unknown locations in the lower right corner of the view.
Now, you just need to click on the indicator and select from the below options:-
LOD or Level of Detail Expressions allows users to easily build bins on aggregated data, like profit per day.
The aim is to measure the success of an organization by the total profit per business day.
Build a calculated field with the name LOD - Profit/day and enter the below formula:
FIXED [Product Order Date] : SUM ([Profit])
Then build another calculated field with the name "LOD - Daily Profit KPI" and enter the below formula:
IF [LOD - Profit/day] > 2000, Then "Business is Highly Profitable."
ELSEIF [LOD - Profit/day] <= 0 Then “Business is Unprofitable”
ELSE "Profitable Business"
Further, follow the below steps to draw the visualization for calculating daily profit measures through LOD:
Ans. While signing in to Tableau Server:-
Navigate to Content > Content or Data Sources > Workbooks, based on the content type you want to refresh.
Choose the data source/workbook checkbox which you want to refresh. Then choose> Actions > Extract Refresh.
Open the Refresh Extracts section > select the option "Schedule a Refresh" and finish the below steps:
Ans. The following are the various types of Tableau as- Desktop, Online, Prep, and Server.
[Related Article : Looker Data Actions]
Ans. If the field holds a null value or is on a logarithmic axis, then Tableau cannot plot these values if there is a zero or negative value. Further, it indicates a point in the lower right corner of the view, and you can click on that indicator and select from the below options:
Ans. Below are the simple steps useful to embed a web page in a dashboard:
Ans. To build a dynamic webpage, you can start by dragging the "Map by Sales" part into view. It will display the name of the state or area and its sales position.
Then, clicking on any state, such as New York, will load the New York Wikipedia page. So, these are the steps that can make a web page dynamic.
Ans. The following simple steps will show region-wise profit and sales:
Further, you can elaborate on it using the below steps:-
Ans. There are many ways to optimize the Dashboard's performance in Tableau, such as:
Ans. To display aggregated total sales throughout different product categories and subgroups-
The below data visualizations types for the above-given scenarios will be used:
Ans. Data extracts in Tableau are the copies or subsets of the real data. The workbooks that use data extracts rather than live data connections are much faster. It is due to the extracted data being imported into Tableau Engine. After this data extraction, users can easily publish the workbook. It also publishes the extracts within the Tableau Server.
The Schedules are only accessible to the Tableau Server Admins. They include the name, types, scope, number of tasks, schedules list, and running status. Moreover, scheduled refreshes get refreshed when you publish a workbook with data extract.
Ans. Performance testing is one of the important parts of Tableau implementation. It is performed by loading Testing Tableau Server (TTS) with TabJolt. It is a kind of 'Point and Run' load generator especially built to perform QA tasks. However, Tableau doesn't support TabJolt directly by any means. You need to install it using other open-source products.
Ans. Horizontal, Vertical, Image Extract, Text, and Web.
Ans. In Tableau, the process of adding a Custom Color refers to a power tool. You need to restart your Tableau desktop after you save the .tps file. You can do it from the Measures pane by bringing the one that you want to add Color to Color. From the color legend menu arrow, choose the tab> Edit Colors. A dialog box will appear, and then select the palette drop-down list of colors and customize it as per your need.
Ans. In Tableau, a TDE file is a kind of Tableau desktop file that includes data extracted from external sources such as MS Excel, MS Access, CSV file, etc. The file includes an extension .tde.
Ans. Yes, it is possible to create relational joins in Tableau without building a new table in Tableau.
Ans. First, you need to publish a report to Tableau Server; while publishing the report, you will find an option to schedule reports. Here, you need to choose the right time at which you want to refresh the data.
Ans. In Tableau, the Drive Program is a methodology for scaling out self-service analytics, as Tableau makes data analytics much faster. Moreover, the Tableau Drive is based on best practices from successful enterprise level deployments. This methodology is developed to build collaboration and increase IT and business efficiency.
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