Tableau Interview Questions and Answers for Experienced PDF Download
If you are looking for a career in data analysis and visualization, you might have heard of Tableau, one of the most popular and powerful tools for working with data. Tableau is a visual analytics platform that allows you to connect, explore, and share insights from your data in an intuitive and interactive way. Whether you want to create dashboards, reports, maps, charts, or stories, Tableau can help you turn your data into actionable insights that can drive business decisions and outcomes.
tableau interview questions and answers for experienced pdf download
Learning Tableau can give you an edge in the competitive job market, as more and more organizations are looking for skilled professionals who can use data to solve problems and communicate effectively. Preparing for Tableau interviews can help you demonstrate your knowledge and skills with the tool, as well as your ability to think analytically and creatively with data. In this article, we will provide you with some of the most common and important Tableau interview questions and answers that can help you ace your Tableau interview. We will also provide you with a link to download a PDF version of this article, so you can review it anytime and anywhere.
Tableau Interview Questions and Answers
In this section, we will cover some of the basic, intermediate, and advanced Tableau interview questions that you may encounter in your interview. We will also provide some sample answers that explain how to approach each question and what key points to include. Note that these are not the only possible answers, but rather examples that illustrate how to answer effectively.
Basic Tableau Interview Questions
These questions are designed to test your familiarity with the basic concepts and features of Tableau. You should be able to answer them with confidence and clarity.
What are the data types supported in Tableau?
Answer: The data types supported in Tableau are:
Text (string): values that contain letters, numbers, or symbols.
Date: values that represent a specific day, month, or year.
Date and time: values that represent a specific date and time.
Numerical: values that contain numbers that can be aggregated or calculated.
Boolean: values that are either true or false.
Geographic: values that represent a specific location, such as country, state, city, zip code, etc.
You can change the data type of a field in Tableau by right-clicking on the field name and selecting the desired data type from the menu.
How will you understand dimensions and measures?
Answer: Dimensions and measures are two types of fields in Tableau that determine how the data is analyzed and displayed.
Dimensions: fields that contain qualitative or categorical data, such as names, dates, colors, etc. Dimensions are used to slice and dice the data, create groups and hierarchies, and define the level of detail in the view.
Measures: fields that contain quantitative or numerical data, such as sales, profit, temperature, etc. Measures are used to perform calculations and aggregations, create charts and graphs, and define the size, color, or shape of the marks in the view.
You can identify the dimensions and measures in Tableau by their icons: dimensions have a blue icon and measures have a green icon. You can also drag and drop the fields from the data pane to the rows or columns shelves to create a view.
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What is meant by 'discrete' and 'continuous' in Tableau?
Answer: Discrete and continuous are two types of properties that can be applied to dimensions or measures in Tableau. They affect how the data is displayed and formatted in the view.
Discrete: fields that have a finite number of distinct values, such as names, categories, or dates. Discrete fields are displayed as headers or labels on an axis or on a color legend. They create discrete bins or buckets of data.
Continuous: fields that have an infinite number of possible values, such as numbers or dates. Continuous fields are displayed as axes or ranges on an axis or on a color legend. They create continuous scales or gradients of data.
You can change the property of a field in Tableau by right-clicking on the field name and selecting either discrete or continuous from the menu. You can also identify the property of a field by its color: discrete fields have a blue color and continuous fields have a green color.
What are the filters? Name the different filters in Tableau.
Answer: Filters are a way of limiting or restricting the data that is displayed in the view. Filters can help you focus on the relevant or important data, remove outliers or noise, and optimize the performance of your visualization. There are different types of filters in Tableau, such as:
Extract filters: filters that are applied when you create an extract of your data source. Extract filters reduce the size of your extract by excluding some rows or columns of data.
Data source filters: filters that are applied at the data source level. Data source filters affect all the worksheets that use the same data source. Data source filters can improve the query performance by reducing the amount of data that is sent to Tableau.
Context filters: filters that are applied before any other filters in the filter shelf. Context filters create a temporary subset of data that is used by the other filters. Context filters can improve the performance of complex calculations or queries by reducing the data that is processed by them.
Dimension filters: filters that are applied to dimensions in the view. Dimension filters can be based on discrete values, ranges, conditions, or sets. Dimension filters can help you create segments or groups of data based on certain criteria.
Measure filters: filters that are applied to measures in the view. Measure filters can be based on ranges, conditions, or top N values. Measure filters can help you identify outliers or trends in your data based on numerical values.
Table calculation filters: filters that are applied to table calculations in the view. Table calculation filters can be based on relative dates, percent of total, rank, running total, etc. Table calculation filters can help you perform advanced analysis on your data using different types of calculations.
You can create and apply filters in Tableau by dragging and dropping fields from the data pane to the filter shelf, or by right-clicking on a field and selecting "Show Filter" from the menu. You can also customize and edit your filters by clicking on their icons on the filter shelf.
There are three customer segments in the Superstore dataset. What percent of the total profits are associated with the Corporate segment?
Answer: To answer this question, you need to use the Superstore dataset, which is a sample dataset provided by Tableau. You can follow these steps to find the answer:
Connect to the Superstore dataset in Tableau.
Create a new worksheet and drag "Segment" from the data pane to the rows shelf.
Drag "Profit" from the data pane to the columns shelf and change its aggregation to "Sum".
Right-click on "Sum(Profit)" on the columns shelf and select "Quick Table Calculation" and then "Percent of Total".
You should see a bar chart that shows the percentage of total profits for each segment. You can hover over each bar to see the exact value.
The answer is: The Corporate segment accounts for 53.1% of the total profits.
Intermediate Tableau Interview Questions
These questions are designed to test your proficiency with the intermediate features and functions of Tableau. You should be able to answer them with some explanation and examples.
What are the features of Tableau that make it useful for data cleaning and visualization?
Answer: Some of the features of Tableau that make it useful for data cleaning and visualization are:
Tableau Prep: a tool that allows you to prepare, shape, and clean your data before analyzing it in Tableau. You can use Tableau Prep to connect to various data sources, combine and join data, rename and reorder fields, split and merge columns, create calculations and groups, filter and aggregate data, and output your data to Tableau Desktop or Tableau Server.
Data Interpreter: a feature that helps you clean and format your data when you connect to an Excel or text file that contains sub-tables, headers, footers, or other metadata. Data Interpreter automatically detects and removes these elements and creates a clean table that you can use in Tableau.
Data Blending: a feature that allows you to combine data from multiple sources without creating a join. Data blending creates a relationship between the data sources based on common fields and aggregates the data at the level of detail defined by the view. Data blending can help you overcome join limitations, such as different levels of granularity, different data types, or different levels of aggregation.
Data Visualization: a feature that allows you to create interactive and engaging visualizations of your data in Tableau. You can use data visualization to explore and discover patterns, trends, outliers, correlations, and insights from your data. You can also use data visualization to communicate and share your findings with others using dashboards, stories, or reports.
How will you create a calendar in Tableau using date fields?
Answer: To create a calendar in Tableau using date fields, you can follow these steps:
Create a new worksheet and drag "Order Date" from the data pane to the columns shelf.
Right-click on "Order Date" on the columns shelf and select "More" and then "Custom".
In the Custom Dates dialog box, select "Month / Year" as the date part and "Discrete" as the date type. Click OK.
Drag another instance of "Order Date" from the data pane to the rows shelf.
Right-click on "Order Date" on the rows shelf and select "More" and then "Custom".
In the Custom Dates dialog box, select "Day" as the date part and "Discrete" as the date type. Click OK.
You should see a grid of dates that resembles a calendar. You can adjust the size and format of the cells as you like.
You can also drag other fields from the data pane to the marks card to add more information to your calendar, such as color, size, shape, label, etc.
How will you use line patterns to customize your trend lines in Tableau?
Answer: Line patterns are a way of changing the appearance of your trend lines in Tableau. Line patterns can help you distinguish between different trend lines, emphasize or de-emphasize certain trends, or create visual effects. You can use line patterns to customize your trend lines in Tableau by following these steps:
Create a scatter plot of your data and add a trend line by right-clicking on the view and selecting "Trend Lines" and then "Show Trend Lines".
Right-click on the trend line and select "Format Trend Lines".
In the Format Trend Lines pane, click on the "Line" tab and select the desired line pattern from the drop-down menu. You can choose from solid, dashed, dotted, or dash-dotted patterns.
You can also adjust the color, width, transparency, and end type of your trend line using the options in the same pane.
You can repeat these steps for each trend line in your view if you have more than one.
How will you perform multi-row calculations in Tableau Prep?
Answer: Multi-row calculations are calculations that use values from multiple rows of data in Tableau Prep. Multi-row calculations can help you create new fields based on logic or conditions that span across multiple rows. You can perform multi-row calculations in Tableau Prep by using the Window functions. The Window functions allow you to specify a range of rows to perform calculations on, such as sum, average, count, min, max, etc. You can use the Window functions in Tableau Prep by following these steps:
In the flow pane, select the step where you want to perform the multi-row calculation.
In the profile pane, click on the plus icon next to "Add step" and select "Add Calculation".
In the calculation editor, enter the expression for your multi-row calculation using the Window functions. For example, if you want to calculate the running total of sales for each product category, you can use this expression: WINDOW_SUM([Sales]).
Click on "Apply" to save your calculation and add it as a new field in your data.
You can also specify the partitioning and ordering of your calculation by clicking on the gear icon next to your calculation field and selecting "Edit Calculation". Partitioning defines how to group your data for the calculation, and ordering defines how to sort your data for the calculation.
How will you control personal access tokens (PATs) in Tableau Cloud?
Answer: Personal access tokens (PATs) are a way of authenticating and authorizing users to access Tableau Cloud, which is a hosted version of Tableau Server. PATs can help you secure your data and resources, as well as simplify the login process for users. You can control PATs in Tableau Cloud by using the Manage Personal Access Tokens page. You can access this page by clicking on your profile icon and selecting "Manage Personal Access Tokens". On this page, you can:
Create PATs: You can create PATs by clicking on the "Create New Token" button and entering a name and an expiration date for your token. You can also select the sites and projects that you want to grant access to with your token.
View PATs: You can view your existing PATs by clicking on the "View Tokens" tab. You can see the name, expiration date, status, and scope of each token. You can also copy or delete your tokens from this tab.
Use PATs: You can use your PATs to log in to Tableau Cloud from any device or browser. You can also use your PATs to connect to Tableau Cloud from Tableau Desktop or Tableau Prep. To use your PATs, you need to enter your username and your token as your password.
Revoke PATs: You can revoke your PATs at any time by clicking on the "Revoke" button next to each token. This will invalidate the token and prevent any further access with it. You can also revoke all your PATs at once by clicking on the "Revoke All Tokens" button at the bottom of the page.
Advanced Tableau Interview Questions
These questions are designed to test your expertise with the advanced features and functions of Tableau. You should be able to answer them with some demonstration and examples.
How will you create a dashboard that is compatible with mobile devices in Tableau?
Answer: To create a dashboard that is compatible with mobile devices in Tableau, you can use the Device Preview and Device Layouts features. These features allow you to design and optimize your dashboard for different types of devices, such as phones, tablets, or desktops. You can use these features by following these steps:
Create a new dashboard or open an existing one in Tableau Desktop.
Click on the "Device Preview" button on the toolbar to see how your dashboard looks on different devices. You can select from a list of predefined devices or enter a custom size.
If you want to customize your dashboard for a specific device, click on the "Add Device Layout" button and select the device type from the menu. This will create a copy of your dashboard that you can edit for that device.
You can drag and drop items from the layout pane to the dashboard canvas, resize or reposition them, hide or show them, or change their properties as you like. You can also add filters, parameters, or legends to your dashboard.
You can switch between different device layouts by clicking on their icons on the top of the dashboard canvas. You can also delete or duplicate device layouts by right-clicking on their icons.
When you are done with your dashboard design, click on the "Device Preview" button again to exit the mode. You can then save and publish your dashboard to Tableau Server or Tableau Online.
Your dashboard will automatically adapt to the device type and size of the viewer when they access it from their browser or the Tableau Mobile app.
How will you use table calculations in Tableau to perform complex analysis?
Answer: Table calculations are calculations that are applied to the values in a table or a visualization in Tableau. Table calculations can help you perform complex analysis on your data, such as comparing values across different dimensions, calculating percentages or ratios, finding moving averages or running totals, etc. You can use table calculations in Tableau by following these steps:
Create a table or a visualization of your data and drag the field that you want to perform the calculation on to the marks card.
Right-click on the field on the marks card and select "Quick Table Calculation" and then choose the type of calculation that you want to apply. You can choose from a list of predefined calculations, such as difference, percent difference, percent of total, rank, percent rank, etc.
You should see the result of the calculation displayed on your table or visualization. You can hover over each value to see the details of the calculation.
If you want to customize your table calculation, you can click on the drop-down arrow next to the field on the marks card and select "Edit Table Calculation". This will open a dialog box where you can change the calculation type, the partitioning and addressing fields, the direction and offset of the calculation, and the aggregation level.
You can also create your own table calculation by clicking on the drop-down arrow next to the field on the marks card and selecting "Create Calculated Field". This will open a calculation editor where you can enter your own expression using the available functions and fields.
How will you use color to enhance your data visualization in Tableau?
Answer: Color is one of the most important elements of data visualization in Tableau. Color can help you highlight, differentiate, encode, or emphasize your data in various ways. You can use color to enhance your data visualization in Tableau by following these tips:
Use color to encode quantitative values: You can use color to represent numerical values in your data, such as sales, profit, temperature, etc. You can use a continuous color scale to show a range of values from low to high, or a diverging color scale to show positive and negative values. You can also use color intensity or saturation to show the magnitude or importance of a value.
Use color to differentiate categorical values: You can use color to distinguish between different categories or groups in your data, such as regions, products, segments, etc. You can use a discrete color palette to assign a distinct color to each category or group. You can also use hue or contrast to show the difference or similarity between categories or groups.
Use color to highlight specific values: You can use color to draw attention to certain values or outliers in your data that are interesting or important. You can use a highlight color to make a value stand out from the rest, or a reference line or band to show a target or threshold value. You can also use color transparency or opacity to make some values more visible or less visible than others.
Use color to emphasize patterns or trends: You can use color to show patterns or trends in your data over time or space, such as growth, decline, seasonality, correlation, etc. You can use a sequential color scale to show a change in value over time or space, or a gradient color scale to show a smooth transition from one value to another. You can also use color blending or mixing to show the interaction or combination of two or more values.
You can apply color to your data visualization in Tableau by dragging and dropping fields from the data pane to the color mark on the marks card. You can also customize and edit your colors by clicking on the color mark and selecting "Edit Colors" from the menu. You can choose from various color options, such as automatic, palette, stepped color, advanced, etc.
How will you use spatial data distributions to find patterns and anomalies in your data in Tableau?
Answer: Spatial data distributions are data that have a geographic or spatial component, such as latitude, longitude, zip code, address, etc. Spatial data distributions can help you find patterns and anomalies in your data in Tableau by using the Map and Spatial features. These features allow you to visualize and analyze your data on a map, as well as perform spatial calculations and operations. You can use spatial data distributions to find patterns and anomalies in your data in Tableau by following these tips:
Use map to visualize spatial data: You can use map to display your spatial data on a map in Tableau. You can drag and drop geographic fields from the data pane to the rows or columns shelves, and Tableau will automatically create a map view. You can also drag and drop other fields to the marks card to add more information to your map, such as color, size, shape, label, etc.
Use spatial to analyze spatial data: You can use spatial to perform spatial analysis on your data in Tableau. You can connect to spatial files, such as shapefiles, KML files, or GeoJSON files, that contain custom geographic boundaries or regions. You can also create spatial calculations, such as distance, area, buffer, intersection, etc., using the MAKEPOINT, MAKELINE, MAKEPOLYGON, and SPATIALRELATION functions. You can also use spatial joins to combine your spatial data with other data sources based on their spatial relationship.
Use map and spatial to find patterns and anomalies: You can use map and spatial to find patterns and anomalies in your data in Tableau by looking for clusters, outliers, hotspots, gaps, overlaps, etc. For example, you can use a density map to show the concentration of points on a map, or a heat map to show the variation of values on a map. You can also use a dual-axis map to compare two different measures on a map, or a map layer to overlay different types of spatial data on a map.
How will you create charts for social media using Tableau?
Answer: To create charts for social media using Tableau, you can use the Viz in Tooltip and Viz Animations features. These features allow you to create interactive and engaging charts that can capture the attention of your audience and convey your message effectively. You can create charts for social media using Tableau by following these steps:
Create a chart or a dashboard of your data in Tableau Desktop.
To add a Viz in Tooltip, drag and drop another sheet from the dashboard pane to the tooltip mark on the marks card. This will create a mini visualization that will appear when you hover over a mark on your chart. You can customize the size, format, and content of your Viz in Tooltip by clicking on the tooltip mark and selecting "Edit Tooltip" from the menu.
To add Viz Animations, click on the "Format" menu and select "Animations". This will open a dialog box where you can enable animations for your chart. You can also adjust the speed, duration, and style of your animations using the options in the same dialog box.
To export your chart for social media, click on the "File" menu and select "Export Image". This will save your chart as an image file that you can share on social media platforms. Alternatively, you can click on the "Share" button on the toolbar and select "Export Image" from the menu.
To export your chart as an animated GIF or video file, you need to use a third-party tool or software that can capture your screen and save it as an animated GIF or video file. For example, you can use LICEcap or ScreenToGif for Windows, or GIPHY Capture or ScreenFlow for Mac.
Conclusion
In this article, we have provided you with some of the most common and important Tableau interview questions and answers that can help you ace your Tableau interview. We have also provided you with a link to download a PDF version of this article, so you can review it anytime and anywhere.
Tableau is a powerful and popular tool for data analysis and visualization that can help you turn your data into actionable insights. Learning Tableau can give you an edge in the competitive job market, as more and more organizations are looking for skilled professionals who can use data to solve problems and communicate effectively. Preparing for Tableau interviews can help you demonstrate your knowledge and skills with the tool, as well as your ability to think analytically and creatively with data.
We hope that this article has helped you prepare for your Tableau interview and boost your confidence. We wish you all the best for your Tableau interview and your future career in data analysis and visualization.
FAQs
Here are some of the frequently asked questions about Tableau interview questions and answers:
What is the best way to learn Tableau?
Answer: The best way to learn Tableau is to practice with real-world data and scenarios. You can use the sample datasets and workbooks provided by Tableau, or connect to your own data sources and create your own visualizations. You can also use the online resources and tutorials available on the Tableau website, such as the Tableau Learning Center, the Tableau Community Forums, the Tableau Blog, the Tableau YouTube Channel, etc. You can also enroll in online courses or workshops offered by Tableau or other platforms, such as Coursera, Udemy, edX, etc.
How can I practice Tableau skills online?
Answer: You can practice Tableau skills online by using the Tableau Public platform, which is a free service that allows you to create, publish, and share interactive visualizations on the web. You can also use the Tableau Online platform, which is a cloud-based version of Tableau Server that allows you to access and analyze your data from anywhere. You can also use the Tableau Mobile app, which allows you to view and interact with your dashboards on your mobile devices.
How can I get certified in Tableau?
Answer: You can get certified in Tableau by taking one of the official certification exams offered by Tableau. There are different levels of certification exams, such as Desktop Specialist, Desktop Certified Associate, Desktop Certified Professional, Server Certified Associate, Server Certified Professional, etc. You can find more information about the certification exams, such as the exam topics, format, duration, fees, etc., on the Tableau website.
What are some common mistakes to avoid in Tableau interviews?
Answer: Some of the common mistakes to avoid in Tableau interviews are:
Not knowing the basics of Tableau: You should have a solid understanding of the basic concepts and features of Tableau, such as data types, dimensions and measures, discrete and continuous fields, filters, calculations, aggregations, etc. You should also be able to explain how to use them in different scenarios.
Not being able to demonstrate your skills with Tableau: You should be able to show your proficiency and expertise with Tableau by creating visualizations that are accurate, clear, relevant, and engaging. You should also be able to perform complex analysis and calculations using Tableau functions and features. You should also be prepared to answer questions about your visualizations, such as why you chose a certain chart type, color scheme, or calculation.
Not being familiar with the data source or domain: You should have some knowledge and background about the data source or domain that you are working with in Tableau. You should be able to understand the meaning and context of the data fields, values, and metrics. You should also be able to identify and address any data quality or integrity issues.
Not being able to communicate effectively with data: You should be able to communicate effectively with data using Tableau by telling a story or delivering a message with your visualizations. You should be able to use appropriate titles, labels, annotations, legends, filters, parameters, etc., to make your visualizations easy to understand and interact with. You should also be able to use best practices and principles of data visualization design, such as choosing the right chart type, color scheme, layout, etc., to make your visualizations appealing and effective.
Where can I find more resources for Tableau interview preparation?
Answer: You can find more resources for Tableau interview preparation on various online platforms and websites, such as:
The official Tableau website: The official Tableau website offers various resources for Tableau interview preparation, such as the Tableau Learning Center, the Tableau Community Forums, the Tableau Blog, the Tableau YouTube Channel, etc. You can also find information about the Tableau certification exams and the Tableau Public platform on the website.
Online courses or workshops: Online courses or workshops can help you learn and practice Tableau skills and concepts in a structured and interactive way. You can find online courses or workshops offered by Tableau or other platforms, such as Coursera, Udemy, edX, etc. You can also find free or paid courses or workshops that suit your level and interest.
Books or eBooks: Books or eBooks can provide you with comprehensive and in-depth knowledge and guidance on Tableau. You can find books or eBooks written by Tableau experts, authors, or instructors, such as "Tableau 2020 A-Z: Hands-On Tableau Training for Data Science" by Kirill Eremenko, "Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master" by Ryan Sleeper, "Learning Tableau 2020: Create effective data visualizations, build interactive dashboards, and analyze your data with Tableau" by Joshua N. Milligan, etc.
Blogs or websites: Blogs or websites can provide you with useful tips, tricks, tutorials, examples, and best practices on Tableau. You can find blogs or websites run by Tableau enthusiasts, professionals, or experts, such as The Information Lab, VizWiz, Playfair Data, Data Revelations, etc.
Podcasts or videos: Podcasts or videos can provide you with engaging and entertaining content on Tableau. You can listen to podcasts or watch videos that feature interviews, stories, insights, or advice from Tableau experts, leaders, or influencers, such as The Tableau Wannabe Podcast, The Data Duo Podcast, Talk Data to Me Podcast, Iron Viz Championship Videos, etc.
These are some of the resources that you can use for Tableau interview preparation. However, you should not limit yourself to these resources only. You should also explore other sources of information and inspiration that can help you learn and improve your Tableau skills and knowledge. 44f88ac181
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