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NEW QUESTION # 19
The definition of the R language is...
- A. A programming language that conforms to the ECMAScript specification
- B. A language and environment for statistical computing and graphics
- C. A standard mark-up language for documents designed to be displayed in a web browser
- D. An interpreted, high-level, general-purpose programming language
Answer: B
Explanation:
The R language is a dialect of S, which was designed in the 1980s and has been in widespread use in the statistical community since. The R language provides, among other things, a programming language, high level graphics, interfaces to other languages and debugging facilities. The R language is an open-source software, which means it is freely available to anyone. It can be accessed by a vibrant community of users and developers. The R language is an implementation of the S programming language. It also combines with lexical scoping semantics inspired by Scheme. The project was conceived in 1992, with an initial version released in 1995 and a stable beta version in 2000123. References: R Programming Language - Introduction, R Language Definition, R (programming language) - Wikipedia
NEW QUESTION # 20
What is listed in a Spotfire visualization mod's <code>mod-manifest.json</code> file?
Choose 2 answers
- A. Axisdefinitionsand placement
- B. All files included in the mod
- C. CORS configuration data
- D. Visualizations affected by the mod
Answer: A,B
Explanation:
The <code>mod-manifest.json</code> file is a JSON file that defines the metadata and configuration of a visualization mod. It contains information such as the name, ID, version, description, and author of the mod, as well as the files used by the mod, such as HTML, CSS, JavaScript, and images1. The
<code>mod-manifest.json</code> file also specifies the axis definitions and placement for the mod, which determine how the data columns are mapped to the visualization and how the axis selectors are displayed in the user interface2. Therefore, the options A (All files included in the mod) and D (Axis definitions and placement) are correct. The other options are not listed in the <code>mod-manifest.json</code> file. CORS configuration data is not relevant for visualization mods, as they are not web services that need to handle cross-origin requests3. Visualizations affected by the mod is not a property of the mod itself, but rather a result of how the mod is used in an analysis. References: 1: Mod manifest - TIBCOSoftware1, 2: Axis definitions and placement - TIBCO Software2, 3: Cross-Origin Resource Sharing (CORS) - MDN Web Docs3
NEW QUESTION # 21
Which three of the following are property control types?
Choose 3 answers
- A. Sliders
- B. Drop-down lists
- C. Buttons
- D. Bookmarks
- E. List boxes
- F. Hyperlinks
Answer: A,B,E
Explanation:
Property controls are devices that can change the content of a property in an easy way. They can be inserted in a text area and configured to use the values from a data table or a fixed list. There are six types of property controls available in TIBCO Spotfire: label, input field, drop-down list, list box, slider, and button1. Out of these, the options C (list boxes), D (drop-down lists), and E (sliders) are valid property control types. The other options are not property control types. Bookmarks are used to save and restore the state of an analysis2. Hyperlinks are used to link to external web pages or documents3. Buttons are used to execute scripts or actions4. References: 1: Details on Property Control - TIBCO Software1, 2: Bookmarks - TIBCO Software2, 3: Hyperlinks - TIBCO Software3, 4: Buttons - TIBCO Software4
NEW QUESTION # 22
What is the purpose of importing Spotfire modules in IronPython code?
- A. To use the Spotfire APIs and related objects
- B. To write scripts in a specific language
- C. To load more data into the analysis
- D. To create scripts in Spotfire
Answer: A
Explanation:
Importing Spotfire modules in IronPython code is done to use the Spotfire APIs and related objects. The Spotfire APIs provide access to various features and functionalities of the Spotfire platform, such as data tables, visualizations, filters, markings, document properties, etc. By importing the relevant modules, such as Spotfire.Dxp.Application, Spotfire.Dxp.Data, Spotfire.Dxp.Framework, etc., the IronPython code can manipulate and interact with these objects12. The other options are not the purpose of importing Spotfire modules in IronPython code. To load more data into the analysis,the data import methods can be used, such as AddFile, AddDatabase, AddOdbcDataSource, etc.3 To create scripts in Spotfire, the script editor can be used, which allows writing IronPython code without importing any modules. To write scripts in a specific language, the language option can be selected from the script editor, such as IronPython or R.
References: 1: Using the Spotfire API - TIBCO Software1, 2: IronPython Scripting in TIBCO Spotfire® - TIBCO Software2, 3: Data Import Methods - TIBCO Software3, : Creating and Running Scripts - TIBCO Software
NEW QUESTION # 23
Which statement about details visualization is NOT true?
- A. A details visualization consists of data which is limited depending on what is marked in one or more visualizations
- B. A details visualization can only be created for a Table visualization
- C. A details visualization can be placed anywhere within the page
- D. A details visualization is used to drill down into the data in multiple steps
Answer: B
Explanation:
A details visualization is a special case of a limited visualization, which shows data that depends on what is marked in one or more other visualizations (the master visualizations). A details visualization can be used to drill down into the data in multiple steps. The details visualizationcan be any type of visualization, not only a table, and it can be placed anywhere within the page, just like any other visualization. To create a details visualization, you need to right-click in the master visualization and select Create Details Visualization and the type of visualization to use as details visualization from the pop-up menu. If there are more than one related data table available in your analysis, the Create Details Visualization dialog will appear, where you can select which data table to use for the details visualization. References: What is a Details Visualization?, Details on Create Details Visualization
NEW QUESTION # 24
Transforming an underlying Data Table from Short/Wide to Tall/Skinny format is known as
- A. Calculation
- B. Normalization
- C. Unpivot
- D. Pivot
- E. Renaming Columns
Answer: C
Explanation:
Unpivoting is a transformation method that changes the data table from a short/wide format to a tall/skinny format. This means that multiple columns are combined into one or a few columns, and the number of rows increases accordingly. Unpivoting can be useful when you want to analyze the distribution of data across different categories or values, or when you want to apply other transformations or calculations on the data.
Unpivoting can be done either when loading data or after the data has been loaded into Spotfire. To unpivot data, you need to select which columns to keep as they are (category columns) and which columns to merge into one or more value columns (value columns). You can also specify the names of the new columns and the data types of the value columns. References: Unpivoting Data, Transforming Data, Spotfire Tips & Tricks:
Normalize/Standardize your data with Spotfire
NEW QUESTION # 25
Which distance measure option of the line similarity tool calculates the similarity value by comparing the shape of a line to the master line selected?
- A. Euclidean distance
- B. Correlation similarity
- C. Hamming distance
- D. Time warping
Answer: B
Explanation:
Correlation similarity is a distance measure option of the line similarity tool that calculates the similarity value by comparing the shape of a line to the master line selected. Correlation similarity measures how well the values of two lines are linearly related, regardless of their absolute values or offsets. A high correlation similarity means that the lines have similar shapes,while a low correlation similarity means that the lines have different shapes or opposite directions. Correlation similarity is useful when the absolute values or scales of the lines are not important, but the relative trends or patterns are. References: Details on Line Similarity, How to Perform a Line Similarity Comparison
NEW QUESTION # 26
What is a "tag" in Spotfire?
- A. Captured knowledge from one or many data sources
- B. A text box that can be added on top of visualization
- C. Snapshot of the state of an analysis
- D. Annotations attached to marked rows
Answer: D
Explanation:
Tags are annotations that can be attached to marked rows in a data table. Each row can only contain a single tag from each tag collection, but the document can contain many tag collections simultaneously. A tag collection is basically a column containing a set of different tags, or annotations. Tags can be used for filtering the data, creating lists, or transferring knowledge from one analysis to another. References: What are Tags?, How to Work with Tags
NEW QUESTION # 27
Which three normalization options are available when a data table is added and a normalization transformation step is applied?
Choose 3 answers
- A. Z-score calculation
- B. Normalize by mode
- C. Normalize by median
- D. Normalize by standard deviation
- E. Normalize by mean
Answer: A,D,E
Explanation:
Normalization is a transformation that adjusts the values in one or more columns of a data table to a common scale, such as between 0 and 1, or with a mean of 0 and a standard deviation of 1. Normalization can be useful for comparing data from different sources, removing outliers, or preparing data for further analysis. Spotfire provides several methods for normalizing data, which are briefly described below1:
* Z-score calculation: This method transforms the values in each column by subtracting the mean and dividing by the standard deviation. The resulting values have a mean of 0 and a standard deviation of 1, and are also known as standard scores or z-scores. This method is useful for comparing data that have different units or scales, or for identifying outliers that deviate from the mean by more than a certain number of standard deviations.
* Normalize by standard deviation: This method transforms the values in each column by dividing by the standard deviation. The resulting values have a standard deviation of 1, but the mean is not changed.
This method is useful for comparing the variability or dispersion of data across columns, or for reducing the effect of outliers on the mean.
* Normalize by mean: This method transforms the values in each column by dividing by the mean. The resulting values have a mean of 1, but the standard deviation is not changed. This method is useful for comparing the relative magnitude or proportion of data across columns, or for scaling the data to a common unit.
* Normalize by mode: This method transforms the values in each column by dividing by the mode, which is the most frequent value. The resulting values have a mode of 1, but the mean and standard deviation are not changed. This method is useful for comparing the frequency or popularity of data across columns, or for scaling the data to a common unit.
* Normalize by median: This method transforms the values in each column by dividing by the median, which is the middle value when the data are sorted. The resulting values have a median of 1, but the mean and standard deviation are not changed. This method is useful for comparing the central tendency or location of data across columns, or for scaling the data to a common unit.
To add a normalization transformation to a data table, either when loading a new data table or after the data is already in Spotfire, follow the steps described in the references23. References:
* Details on Normalization
* Spotfire Tips & Tricks: Normalize/Standardize your data with Spotfire
* How to Use the Map Chart
NEW QUESTION # 28
What file extension is used when saving a Spotfire analysis?
- A. -HTML
- B. XLSX
- C. CSV
- D. -DXP
- E. XML
Answer: D
Explanation:
A Spotfire analysis is saved as a file with the extension .dxp, which stands for Data eXploration Project. This file contains the data, visualizations, pages, filters, markings, and other settings of the analysis. A .dxp file can be opened in Spotfire Analyst or Spotfire Web Player, or uploaded to Spotfire Server for sharing and collaboration. References: Extending Spotfire® - TIBCO Software, File data sources - TIBCO Software, Extensions - TIBCO Software
NEW QUESTION # 29
A box plot can visualize which three of the following statistical measures?
Choose 3 answers
- A. Moving average
- B. Cumulative sum
- C. % of total
- D. Standard deviation
- E. Variance
- F. Median
Answer: D,E,F
Explanation:
A box plot is a graphical tool to visualize key statistical measures, such as median, mean and quartiles1. The median is the middle value of the data, which divides the data into two equal halves. The variance is a measure of how spread out the data is, calculated as the average squared deviation from the mean. The standard deviation is the square root of the variance, which has the same unit as the data. A box plot can show these three measures by using the following elements2:
* The band in the middle of the box indicates the median.
* The bottom and top of the box indicate the first and third quartiles, which are the medians of the lower and upper halves of the data. The difference between the third and first quartiles is called the interquartile range (IQR), which is a measure of variability similar to the standard deviation.
* The bottom and top of the whiskers represent the minimum and maximum values within 1.5 times the IQR from the first and third quartiles. Any values outside this range are considered outliers and are shown as individual points. The length of the whiskers is related to the variance of the data, as larger variance implies more spread out data and longer whiskers.
* The mean is denoted by a small circle, which may or may not be inside the box depending on how skewed the data is. The mean is another measure of central tendency, which is the average value of the data. The distance between the mean and the median reflects the symmetry of the data distribution.
References:
* What is a Box Plot?
* Box Plot
NEW QUESTION # 30
Which three of the following are types of input or output parameters for a data function?
Choose 3 answers
- A. Table
- B. Column property
- C. Visualization
- D. Column
- E. Document property
- F. Value
Answer: D,E,F
Explanation:
A data function is a reusable calculation that can be applied to data in a Spotfire analysis. A data function can have input and output parameters that define how the data function interacts with the data and the analysis.
The input parameters specify what data or values are required for the data function to run, and the output parameters specify what data or values are returned by the data function. The types of input or output parameters for a data function are1:
* Column: A column parameter represents a single column of data from a data table. A column parameter can be used as input to provide a vector of values to the data function, or as output to create a new column in the data table or overwrite an existing column. A column parameter can have a data type such as real, integer, string, or boolean.
* Document property: A document property parameter represents a value that is stored in the analysis document and can be used to control various aspects of the analysis, such as filters, markings, colors, etc. A document property parameter can be used asinput to provide a scalar value to the data function, or as output to create a new document property or overwrite an existing document property. A document property parameter can have a data type such as real, integer, string, boolean, date, or time.
* Value: A value parameter represents a scalar value that is entered by the user or calculated by the data function. A value parameter can be used as input to provide a constant or variable value to the data
* function, or as output to return a single value from the data function. A value parameter can have a data type such as real, integer, string, boolean, date, or time.
The other options, column property, table, and visualization, are not valid types of input or output parameters for a data function. References:
* Details on Data Functions - Parameters
* Configuring Data Function Parameters
* How to select/deselect inputs/outputs/parameters in Statistica Data Function for Spotfire
* How to pass input from Spotfire to Statistica Data Function?
NEW QUESTION # 31
Which of the following binning functions can be used on a numeric type column?
- A. BinByTimeSpan()
- B. BinByOateTime()
- C. BinBySubstring()
- D. BinByNumbers()
- E. BinByEvenDistribution()
Answer: E
Explanation:
BinByEvenDistribution() is a binning function that creates a binned column where each bin has the same number of unique values as the others. The last bin may have more unique values than the others. The first argument is the column to bin and the second argument is the number of bins. This function can be used on a numeric type column to group the values into equal frequency bins. The other binning functions are either not valid (BinByTimeSpan(), BinByNumbers()) or not applicable to a numeric type column (BinByDateTime(), BinBySubstring()). References: Binning Functions, How to Use Binning
NEW QUESTION # 32
Which namespace contains classes used to interact with visualizations in a document?
- A. Spotfire.Dxp.Application.Visuals
- B. Spotfire.Dxp.Application.Tools
- C. Spotfire.Dxp.Application.VisualCollection
- D. Spotfire.Dxp.Application.Visualizations
- E. Spotfire.Dxp.Application.AnalyticItems
Answer: A
Explanation:
The Spotfire.Dxp.Application.Visuals namespace contains classes used to configure visualizations and text areas in a page1. These classes include the abstract base class Visualization, which represents a common base for all visualizations, and its derived classes, such as BarChart, BoxPlot, MapChart, ScatterPlot, etc. Each visualization class exposes properties and methods to access and modify the settings and data of the visualization, such as axes, colors, shapes, filters, markings, etc. The Spotfire.Dxp.Application.Visuals namespace also contains classes for text areas, which are used to display text, images, or HTML content on a page, and classes for various components of visualizations, such as axes, legends, reference lines, etc.
References:
* Spotfire.Dxp.Application.Visuals Namespace
* Visualization Class
* Spotfire® Document Model Framework API Overview
NEW QUESTION # 33
Which visualization type can trigger an action when clicked?
- A. Line chart
- B. Table visualization
- C. Graphical table
- D. Cross table
Answer: C
Explanation:
A graphical table is a visualization that combines the features of a table and a bar chart. It can display values, icons, images, and sparklines in a grid layout. A graphical table can also trigger an action when clicked, such as opening a tool, applying a bookmark, or navigating to a page or a visualization. This can be configured by adding an action control to the graphical table from the text area menu. Other visualization types, such as table, cross table, and line chart, do not have this functionality by default, but they can be customized using scripts or mods to enable actions when clicked. References: Graphical Table, Details on Action Control, Actions
NEW QUESTION # 34
Which of the following custom expressions will result in a column filled with the value of a document property named "MyProperty"?
- A. ${DataTat>le}. {MyProperty}
- B. "${DataTable}.{Column}.{$MyProperty}"
- C. "${MyProperty}"
- D. ${MyProperty}
Answer: C
Explanation:
This will insert the value of the property as a text string in the expression. The other options are either invalid syntax or refer to data table or column properties, which are different from document properties. References: Properties in Expressions, Details on Document Properties
NEW QUESTION # 35
Where are Information Links stored?
- A. In the Library on the local machine
- B. As a setting on the local machine
- C. In the Library on the Spotfire Server
- D. As a file on the local machine
Answer: C
Explanation:
Information links are predefined database queries, specifying the columns to be loaded into the internal data engine of TIBCO Spotfire, and any filters needed to reduce the size of the data table prior to visualization1. Information links are created and saved in thelibrary on the Spotfire Server, where they can be accessed by other users2. Information links are not stored on the local machine, as they are not files or settings, but rather structured requests for data2. References:
* Information Links - TIBCO Software
* Creating an Information Link - TIBCO Software
* Information Links - TIBCO Software
* Changes in Spotfire version 10: How to add an Information link to an existing analysis
NEW QUESTION # 36
Which statistical engine is TIBCO Spotfire Statistical Services <strong>NOT</strong> compatible with?
- A. TERR
- B. Scala
- C. S-PLUS
- D. MATLAB
Answer: B
Explanation:
TIBCO Spotfire Statistical Services is compatible with several statistical engines, such as S-PLUS, TERR, R, SAS, and MATLAB. These engines provide a comprehensive library of statistical and mathematical algorithms that can be used to perform advanced analytics on data. TIBCO Spotfire Statistical Services can be configured to work with these engines, either as a stand-alone server or as part of a Spotfire stack1. However, TIBCO Spotfire Statistical Services is not compatible with Scala, which is a general-purpose programming language that runs on the Java Virtual Machine. Scala is not a statistical engine, and it does not have a direct integration with TIBCO Spotfire Statistical Services2. References:
* Spotfire® Statistics Services - TIBCO Software
* Scala (programming language) - Wikipedia
NEW QUESTION # 37
Where are Information Links saved?
- A. Spotfire Library
- B. Spotfire Web Player
- C. Spotfire Data Source
- D. Spotfire Analyst Client
Answer: A
Explanation:
Information links are predefined database queries, specifying the columns to be loaded into the internal data engine of TIBCO Spotfire, and any filters needed to reduce the size of the data table prior to visualization1. Information links are saved in the Spotfire Library, which is a central repository for storing and managing data sources, analyses, and other resources2. Users can access information links from the library and use them to open data in Spotfire clients, such as the Web Player or the Analyst Client3. References: Information Links - TIBCO Software, Library - TIBCO Software, Changes in Spotfire version 10: How to add an Information link to an existing analysis
NEW QUESTION # 38
Where is the smallest rectangle in the treemap visualization positioned?
- A. Top-left corner
- B. Bottom-left corner
- C. Top-right corner
- D. Bottom-right corner
Answer: D
Explanation:
A treemap visualization is a way of displaying large amounts of hierarchically structured data. The space in the visualization is split up into rectangles that are sized and ordered by a quantitative variable. The treemap in Spotfire uses a squarified algorithm, which means that the rectangles in the treemap range in size from the top left corner of the visualization to the bottom right corner, with the largest rectangle positioned in the top left corner and the smallest rectangle in the bottom right corner. For hierarchies, that is, when the rectangles are nested, the same ordering of the rectangles is repeated for each rectangle in the treemap. References: What is a Treemap?, Creating a treemap
NEW QUESTION # 39
Which one of the following statements does not refer to TIBCO Enterprise Runtime for R (TERR)?
- A. Enterprise-grade analytical engine compatible with R
- B. A proprietary multi-paradigm programming language and numeric computing environment
- C. Extends the reach of R
- D. A high-performance statistical engine
- E. Many limitations in R are resolved by TERR
Answer: B
Explanation:
TIBCO Enterprise Runtime for R (TERR) is an enterprise-grade analytic engine that is fully compatible with the R language and embedded in Spotfire1. It extends the reach of R by allowing users to deploy their R code on a commercially supported and robust platform withoutthe need to rewrite their code2. It also resolves many limitations in R, such as memory management, performance, and scalability3. It is not a proprietary multi-paradigm programming language and numeric computing environment, but rather a reimplementation of the R language using C++4. The statement that describes TERR as such is incorrect and does not refer to TERR. References: Spotfire® Enterprise Runtime for R - TIBCO Software, What is TERR? How to get started with TERR in Spotfire. - TIBCO Software, TIBCO® Enterprise Runtime for R FAQ - TIBCO Software, TIBCO® Enterprise Runtime for R (TERR) - TIBCO Software
NEW QUESTION # 40
Which two of the following are can be passed lo a script via a parameter?
Choose 2 answers
- A. Pages
- B. Filtering Schemes
- C. Visualizations
- D. Markings
Answer: A,C
Explanation:
According to the documentation, you can define script parameters for IronPython scripts in action controls and JavaScript parameters when you edit HTML of a text area. The type of parameter can be a simple data type such as a text string, an integer, etc., or it can be a visualization, page or data table in the current analysis.
Therefore, visualizations and pages are two valid types of parameters that can be passed to a script. Markings and filtering schemes are not listed as possible parameter types. References: Details on Add/Edit Script Parameter, Using Scripts in the Text Area
NEW QUESTION # 41
Which property control type adds a text box where users can type a new value for the linked property?
- A. Slider
- B. Labels
- C. Input field
- D. Drop-down list
- E. List box
Answer: C
Explanation:
An input field is a property control type that adds a text box where users can type a new value for the linked property. An input field can be used with any property type, such as string, integer, real, or date. An input field allows users to enter custom values that are not predefined in a list or a slider. An input field can also be used to filter data based on partial string matching12. References:
* Details on Property Control - TIBCO Software
* Adding a property control to a text area - TIBCO Software
NEW QUESTION # 42
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