Explore topic-wise InterviewSolutions in .

It is a FILE with a .twb EXTENSION that contains ONE or more WORKSHEETS (and possibly ALSO dashboards and stories).

It is a file with a .twb extension that contains one or more worksheets (and possibly also dashboards and stories).

CUSTOM FILTERS ,CONTEXT Filters, NORMAL Filters.

Custom Filters ,Context Filters, Normal Filters.

A card to the left of the VIEW where you can drag fields to control mark properties such as TYPE, COLOR, size, shape, label, tooltip, and DETAIL.

A card to the left of the view where you can drag fields to control mark properties such as type, color, size, shape, label, tooltip, and detail.

They are NAMED areas to the left and top of the view. You build views by placing fields ONTO the shelves. Some shelves are AVAILABLE only when you SELECT certain mark types.

They are Named areas to the left and top of the view. You build views by placing fields onto the shelves. Some shelves are available only when you select certain mark types.

A sheet where you BUILD views of your DATA by DRAGGING fields ONTO shelves.

A sheet where you build views of your data by dragging fields onto shelves.

An alternative NAME that you can ASSIGN to a field or to a DIMENSION member.

An alternative name that you can assign to a field or to a dimension member.

In a context filter the filter condition is applied first to the data source and then some other filters are applied only to the RESULTING RECORDS.

In a context filter the filter condition is applied first to the data source and then some other filters are applied only to the resulting records.

You can COMPARE MULTIPLE measures using dual axes, which are TWO INDEPENDENT axes that are layered on TOP of each other.

You can compare multiple measures using dual axes, which are two independent axes that are layered on top of each other.

The Pages shelf is USED to CONTROL the DISPLAY of OUTPUT by choosing the sequence of display.

The Pages shelf is used to control the display of output by choosing the sequence of display.

More EXTRACTS, FILTERS and DEPENDS on DATA SOURCES.

More Extracts, filters and depends on data sources.

These are inbuilt CALCULATIONS in TABLEAU which we normally USE to calculate PERCENTANGE CHAGES.

These are inbuilt calculations in tableau which we normally use to calculate Percentange chages.

Data blending is used to BLEND data from MULTIPLE data SOURCES on a SINGLE worksheet. The data is JOINED on common dimensions.

Data blending is used to blend data from multiple data sources on a single worksheet. The data is joined on common dimensions.

It CREATES a DIRECT CONNECT to the data SOURCE and SPEED up access.

It Creates a direct connect to the data source and speed up access.

It Imports the entire DATA source into TABLEAU fast data ENGINE as an EXTRACT and saves it in the workbook.

It Imports the entire data source into Tableau fast data engine as an extract and saves it in the workbook.

PARAMETERS are DYNAMIC values that can replace CONSTANT values in calculations.

Parameters are dynamic values that can replace constant values in calculations.

It refers to the file that CONTAINS data extracted from external SOURCES like MS EXCEL, MS Access or CSV file.

It refers to the file that contains data extracted from external sources like MS Excel, MS Access or CSV file.

A story is a sheet that contains a SEQUENCE of WORKSHEETS and dashboards that WORK together to convey information

A story is a sheet that contains a sequence of worksheets and dashboards that work together to convey information

It CONTAINS connection INFORMATION that is INDEPENDENT of any workbook and can be used by multiple WORKBOOKS.

It contains connection information that is independent of any workbook and can be used by multiple workbooks.

Show Me is used to APPLY a required view to the existing DATA in the WORKSHEET. Those VIEWS can be a pie CHART, scatter plot or a line chart.

Show Me is used to apply a required view to the existing data in the worksheet. Those views can be a pie chart, scatter plot or a line chart.

A PANE on the LEFT side of the workbook that DISPLAYS the fields of the data sources to which Tableau is connected.

A pane on the left side of the workbook that displays the fields of the data sources to which Tableau is connected.

A NEW FIELD that you create by using a formula to modify the EXISTING FIELDS in your DATA source.

A new field that you create by using a formula to modify the existing fields in your data source.

It is a TEXT table view. USE text TABLES to DISPLAY the numbers associated with DIMENSION members.

It is a text table view. Use text tables to display the numbers associated with dimension members.

TABLEAU Reader is a free viewing application that lets anyone read and interact with PACKAGED workbooks created by Tableau Desktop.

Tableau Reader is a free viewing application that lets anyone read and interact with packaged workbooks created by Tableau Desktop.

A page where you can SET up your DATA SOURCE. The Data Source page GENERALLY CONSISTS of four main areas: left pane, join area, preview area, and metadata area.

A page where you can set up your data source. The Data Source page generally consists of four main areas: left pane, join area, preview area, and metadata area.

A saved subset of a data SOURCE that you can use to improve PERFORMANCE and analyze OFFLINE.

A saved subset of a data source that you can use to improve performance and analyze offline.

A pane that contains FORMATTING settings that control the entire worksheet, as well as INDIVIDUAL FIELDS in the view.

A pane that contains formatting settings that control the entire worksheet, as well as individual fields in the view.

A SYNTAX that supports AGGREGATION at dimensionalities other than the VIEW level. With level of detail EXPRESSIONS, you can attach one or more DIMENSIONS to any aggregate expression.

A syntax that supports aggregation at dimensionalities other than the view level. With level of detail expressions, you can attach one or more dimensions to any aggregate expression.

NORMAL Filter is used to restrict the data from database based on selected DIMENSION or measure. But Quick Filters are used to give a chance to user for dynamically CHANGING data members at RUN TIME.

Normal Filter is used to restrict the data from database based on selected dimension or measure. But Quick Filters are used to give a chance to user for dynamically changing data members at run time.

Yes, PARAMETERS do have their independent dropdown lists enabling USERS to view the DATA entries available in the PARAMETER during its creation.

Yes, parameters do have their independent dropdown lists enabling users to view the data entries available in the parameter during its creation.

By adding the same calculation to ‘Group By’ clause in SQL query or creating a Calculated Field in the DATA Window and using that field whenever you WANT to group the FIELDS.

By adding the same calculation to ‘Group By’ clause in SQL query or creating a Calculated Field in the Data Window and using that field whenever you want to group the fields.

TDE is a TABLEAU desktop FILE that contains with a .tde extension REFERRING to the file containing data extracted from external sources like MS Excel, MS ACCESS or CSV file.

TDE is a Tableau desktop file that contains with a .tde extension referring to the file containing data extracted from external sources like MS Excel, MS Access or CSV file.

Create two SETS, ONE for top 5 ANOTHER for bottom 5 and the JOIN these two sets displaying a unique SET of total 10 rows.

Create two sets, one for top 5 another for bottom 5 and the join these two sets displaying a unique set of total 10 rows.

• Tableau Server : on-premise or cloud-hosted software to access the workbooks built
• Tableau desktop: desktop environment to CREATE and publish standard and packaged workbooks.
• Tableau Public: workbooks AVAILABLE publicly online for USERS to download and access the included data.
• Tableau Reader: GET a local access to open Tableau Packaged WORKBOOK

The maximum NUMBER of 32 tables can be joined in TABLEAU. A table SIZE must ALSO be limited to 255 columns (fields).

The maximum number of 32 tables can be joined in Tableau. A table size must also be limited to 255 columns (fields).

Performance TESTING is again an important part of implementing Tableau. This can be done by loading Testing Tableau Server with TabJolt, which is a “Point and Run” load GENERATOR created to perform QA. While TabJolt is not SUPPORTED by Tableau directly, it has to be INSTALLED using other open source products.

Performance testing is again an important part of implementing Tableau. This can be done by loading Testing Tableau Server with TabJolt, which is a “Point and Run” load generator created to perform QA. While TabJolt is not supported by Tableau directly, it has to be installed using other open source products.

Tableau provides a distinct and powerful tool to control the output display known as Page shelf. As the name suggests, the page shelf FRAGMENTS the view into a series of pages , presenting a different view on each page, making it more user-friendly and minimizing scrolling to analyze and view data and information. You can flip through the pages using the SPECIFIED CONTROLS and compare them at a common AXLE.

Tableau provides a distinct and powerful tool to control the output display known as Page shelf. As the name suggests, the page shelf fragments the view into a series of pages , presenting a different view on each page, making it more user-friendly and minimizing scrolling to analyze and view data and information. You can flip through the pages using the specified controls and compare them at a common axle.

Viewing underlying SQL Queries in Tableau provides TWO options:

Create a Performance Recording to record performance information about the main events you interact with workbook. Users can view the performance metrics in a workbook created by Tableau.

Help> Settings and Performance> Start Performance Recording

Help> Setting and Performance > STOP Performance Recording• REVIEWING the Tableau Desktop LOGS located at C:Users\My DocumentsMy Tableau Repository. For live connection to data source, you can check log.txt and tabprotosrv.txt files. For an extract, check tdeserver.txt file.

Viewing underlying SQL Queries in Tableau provides two options:

Create a Performance Recording to record performance information about the main events you interact with workbook. Users can view the performance metrics in a workbook created by Tableau.

Help> Settings and Performance> Start Performance Recording

Help> Setting and Performance > Stop Performance Recording• Reviewing the Tableau Desktop Logs located at C:Users\My DocumentsMy Tableau Repository. For live connection to data source, you can check log.txt and tabprotosrv.txt files. For an extract, check tdeserver.txt file.

• HORIZONTAL
• VERTICAL
• Text
• Image Extract
• Blank PAGE
• WEB [URL ACTION]

Data extracts are the first copies or subdivisions of the actual data from original data sources. The workbooks using data extracts instead of those using live DB connections are faster since the extracted data is imported in Tableau ENGINE.

After this extraction of data, users can publish the workbook, which also publishes the extracts in Tableau Server. HOWEVER, the workbook and extracts won’t refresh unless users apply a scheduled refresh on the extract. Scheduled Refreshes are the scheduling TASKS set for data extract refresh so that they GET REFRESHED automatically while publishing a workbook with data extract. This also removes the burden of republishing the workbook every time the concerned data gets updated.

Data extracts are the first copies or subdivisions of the actual data from original data sources. The workbooks using data extracts instead of those using live DB connections are faster since the extracted data is imported in Tableau Engine.

After this extraction of data, users can publish the workbook, which also publishes the extracts in Tableau Server. However, the workbook and extracts won’t refresh unless users apply a scheduled refresh on the extract. Scheduled Refreshes are the scheduling tasks set for data extract refresh so that they get refreshed automatically while publishing a workbook with data extract. This also removes the burden of republishing the workbook every time the concerned data gets updated.

.TWB is the most common file extension used in Tableau, which presents an XML format file and comprises all the information present in each dashboard and sheet like what fields are used in the views, styles and formatting applied to a sheet and dashboard.

But this WORKBOOK does not contain any data. The Packaged workbook merges the information in a Tableau workbook with the local data available (which is not on SERVER). .twbx serves as a ZIP file, which will include custom images if any. Packaged Workbook allows users to SHARE their workbook information with other Tableau Desktop users and let them open it in Tableau Reader.

.twb is the most common file extension used in Tableau, which presents an XML format file and comprises all the information present in each dashboard and sheet like what fields are used in the views, styles and formatting applied to a sheet and dashboard.

But this workbook does not contain any data. The Packaged workbook merges the information in a Tableau workbook with the local data available (which is not on server). .twbx serves as a zip file, which will include custom images if any. Packaged Workbook allows users to share their workbook information with other Tableau Desktop users and let them open it in Tableau Reader.

There are a NUMBER of file TYPES and extensions in Tableau:

• 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)

There are a number of file types and extensions in Tableau:

Tableau takes time to place a filter in context. When a filter is set as context one, the software creates a temporary table for that PARTICULAR context filter. This table will reload each time and consists of all values that are not FILTERED by EITHER Context or Custom SQL filter.

Tableau takes time to place a filter in context. When a filter is set as context one, the software creates a temporary table for that particular context filter. This table will reload each time and consists of all values that are not filtered by either Context or Custom SQL filter.

The concept of context filter in Tableau makes the process of filtering smooth and straightforward. It establishes a filtering hierarchy where all other FILTERS present REFER to the context filter for their subsequent operations. The other filters now process DATA that has been passed through the context filter.

Creating one or more context filters improves performance as users do not have to create extra filters on LARGE data source, reducing the query-execution time.

You can create by dragging a FILED into ‘Filters’ tab and then, Right-Click that field and select ‘’Add to Context”

The concept of context filter in Tableau makes the process of filtering smooth and straightforward. It establishes a filtering hierarchy where all other filters present refer to the context filter for their subsequent operations. The other filters now process data that has been passed through the context filter.

Creating one or more context filters improves performance as users do not have to create extra filters on large data source, reducing the query-execution time.

You can create by dragging a filed into ‘Filters’ tab and then, Right-Click that field and select ‘’Add to Context”

Unlike Data Joining, Data Blending in tableau ALLOWS combining of data from DIFFERENT sources and platforms. For instance, you can BLEND data present in an Excel file with that of an Oracle DB to create a new dataset.

Unlike Data Joining, Data Blending in tableau allows combining of data from different sources and platforms. For instance, you can blend data present in an Excel file with that of an Oracle DB to create a new dataset.

Aggregation and disaggregation in Tableau are the ways to develop a scatterplot to compare and measure DATA values. As the name suggests, aggregation is the CALCULATED form of a set of values that return a single numeric value. For instance, a measure with values 1,3,5,7 returns 1. You can also set a default aggregation for any measure, which is not user-defined. Tableau supports various default aggregations for a measure like Sum, average, Median, COUNT and others.

Disaggregating data refers to viewing each data source row, while analyzing data both INDEPENDENTLY and dependently.

Aggregation and disaggregation in Tableau are the ways to develop a scatterplot to compare and measure data values. As the name suggests, aggregation is the calculated form of a set of values that return a single numeric value. For instance, a measure with values 1,3,5,7 returns 1. You can also set a default aggregation for any measure, which is not user-defined. Tableau supports various default aggregations for a measure like Sum, average, Median, Count and others.

Disaggregating data refers to viewing each data source row, while analyzing data both independently and dependently.

PARAMETERS facilitate only four WAYS to represent DATA on a DASHBOARD (which are seven in QUICK filters). Further, parameters do not allow multiple selections in a filter.

Parameters facilitate only four ways to represent data on a dashboard (which are seven in quick filters). Further, parameters do not allow multiple selections in a filter.

Global quick filters are a way to filter each WORKSHEET on a DASHBOARD until each of them contains a dimension. They are very useful for worksheets using the same data source, which sometimes PROVES to a DISADVANTAGE and GENERATE slow results. Thus, parameters are more useful.

Global quick filters are a way to filter each worksheet on a dashboard until each of them contains a dimension. They are very useful for worksheets using the same data source, which sometimes proves to a disadvantage and generate slow results. Thus, parameters are more useful.

Facts are the numeric metrics or measurable quantities of the data, which can be analyzed by dimension table. Facts are STORES in Fact table that contain foreign keys referring UNIQUELY to the associated dimension tables. The fact table supports data STORAGE at atomic level and thus, allows more number of records to be inserted at one time. For instance, a Sales Fact table can have product key, customer key, promotion key, items sold, referring to a SPECIFIC event.

Dimensions are the descriptive attribute values for multiple dimensions of each attribute, defining multiple characteristics. A dimension table ,having reference of a product key form the fact table, can CONSIST of product name, product type, size, color, description, etc.

Facts are the numeric metrics or measurable quantities of the data, which can be analyzed by dimension table. Facts are stores in Fact table that contain foreign keys referring uniquely to the associated dimension tables. The fact table supports data storage at atomic level and thus, allows more number of records to be inserted at one time. For instance, a Sales Fact table can have product key, customer key, promotion key, items sold, referring to a specific event.

Dimensions are the descriptive attribute values for multiple dimensions of each attribute, defining multiple characteristics. A dimension table ,having reference of a product key form the fact table, can consist of product name, product type, size, color, description, etc.

The difference actually lies in the APPLICATION. Parameters allow users to insert their values, which can be integers, float, date, string that can be used in calculations. However, filters RECEIVE only values users choose to ‘FILTER by’ the list, which cannot be used to PERFORM calculations.

Users can dynamically change measures and dimensions in parameter but filters do not approve of this feature.

The difference actually lies in the application. Parameters allow users to insert their values, which can be integers, float, date, string that can be used in calculations. However, filters receive only values users choose to ‘filter by’ the list, which cannot be used to perform calculations.

Users can dynamically change measures and dimensions in parameter but filters do not approve of this feature.

Tableau parameters are dynamic variables/VALUES that replace the constant values in data calculations and filters. For INSTANCE, you can create a calculated field value returning true when the SCORE is greater than 80, and otherwise false. Using parameters, one can replace the constant value of 80 and control it dynamically in the FORMULA.

Tableau parameters are dynamic variables/values that replace the constant values in data calculations and filters. For instance, you can create a calculated field value returning true when the score is greater than 80, and otherwise false. Using parameters, one can replace the constant value of 80 and control it dynamically in the formula.