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4.7 Rating 56 Questions 30 mins read8 Readers

A bar chart is used to display data as bars, with the length of the bar representing the magnitude of the data. A line chart is used to display data as a series of points connected by lines, allowing trends over time or other X-axis variables to be seen.
To create a new data connection in Spotfire, you would go to the File menu and select "Add Data Tables." From there, you can choose the type of data source you want to connect to (such as a database or an Excel file) and provide the necessary connection details (such as the server name and database name).
To create a new visualization in Spotfire, you would first select the data you want to visualize. Next, you would go to the "Visualizations" pane, select the type of visualization you want to create (such as a bar chart or a line chart), and drag the desired columns or measures to the appropriate visualization roles. You can then customize the visualization as needed using the Properties tab.
Data security in Spotfire can be set up at multiple levels, including the data source level and the document level. Data source level security can be set up using database roles or Kerberos authentication. Document level security can be set up using user and group management, which allows you to control access to specific parts of a Spotfire analysis or visualization.
Data visualization is the process of converting data into graphical or visual representations, such as charts and graphs. The importance of data visualization lies in the ability to quickly and easily understand complex data sets, identify patterns, and draw insights that can inform decision making.
Data blending allows you to combine data from different data sources in a single visualization, Spotfire has built-in data blending capabilities that allow you to combine multiple data tables based on a common column or join. You can access this functionality by going to "Data" menu, select "Data Blending" and then select the tables and columns to join.
Data functions in Spotfire allow you to apply specific calculations, transformations or integrations to your data, the most common type is the "R" and "Python" data functions. You can create a new data function in Spotfire by going to "Tools" menu and selecting "Data Functions", then you can choose the type of data function and specify the input and output parameters.
A must-know for anyone looking for agile Spotfire advanced interview questions, this is one of the frequent questions asked of senior Spotfire developers as well.
Custom expressions in Spotfire allow you to create new calculated columns or custom columns using a combination of functions and operators. To use a custom expression in Spotfire, you would go to the data panel, right-click on the data table, and select "Insert Column", then you can use the "Edit" button to create your custom expression.
The Spotfire API allows you to programmatically create and customize visualizations using languages such as C#, JavaScript or Python. To create a custom visualization using the Spotfire API, you would need to create a new project in Visual Studio or similar development environment and import the Spotfire API. From there, you can use the API to create new visualizations, configure properties and apply data.
Create a new project in a development environment such as Visual Studio, and import the Spotfire API.
Use the Spotfire API classes and methods to programmatically interact with and control the Spotfire environment. This may include tasks such as opening and modifying existing analyses, creating new visualizations, or programmatically updating data.
Develop the scripts and functions that you want to automate tasks, you could use IronPython or other languages like C#, JavaScript, Python.
Test the scripts and functions in a development environment before deploying them in production.
Once you have developed and tested your scripts, you can schedule them to run at specific intervals using a Task Scheduler or a similar tool, or you could also make them available as custom buttons within the Spotfire interface.
Calculated columns in Spotfire allow you to create new columns in your data table based on calculations using existing columns. The advanced level interviewee should be able to give a detailed answer, how he used the calculated columns in complex calculations and joins such as multi-table join, sub-queries, and advanced calculations using functions, operators, and custom expressions.
Data functions in Spotfire allow you to apply specific calculations, transformations or integrations to your data, the most common type is the "R" and "Python" data functions. The advanced-level interviewee should be able to explain in detail, how to use the R and Python data function in Spotfire, the advantages and limitations of using them, and the specific use cases where they are beneficial.
Spotfire Document Properties allows you to save metadata about a Spotfire analysis, such as the author, creation date, and version number. The advanced level interviewee should be able to explain how he used the Document Property feature to control the behavior of the analysis such as limiting access to certain users, changing the default behavior of the visualization based on the property value and creating dynamic expressions based on the Document Property.
A common yet one of the most important TIBCO Spotfire interview questions for experienced, don't miss this one.
TIBCO Spotfire Advanced Data Services (ADS) allows connecting to various big data sources like Hadoop and Spark. An advanced-level interviewee should be able to explain the architecture of the Advanced Data Services and how he used it to connect to big data sources, and perform operations like data wrangling and data modeling.
Spotfire allows for real-time data analysis by connecting to data sources through data connectors and Data Streams, an advanced-level interviewee should be able to explain how he used this feature in his project, the types of data sources that he connected to and the challenges he faced while working with real-time data analysis.