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NEW QUESTION # 19
In Spotfire's IronPython langauge, what does the <code>Document.Pages</code> object represent?
- A. A collection of the web pages where the analysis is published
- B. The system pagefile
- C. A collection of documents accessing sub-objects in the tree of the model
- D. A collection of the pages in the current document
Answer: D
Explanation:
The <code>Document.Pages</code> object represents a collection of the pages in the current document. It is an instance of the PageCollection class, which provides methods and properties to access, add, remove, or reorder the pages. Each page is an instance of the Page class, which contains the title, visuals, filtering scheme, and other properties of the page. The <code>Document.Pages</code> object can be used in IronPython scripts to iterate over the pages, navigate to a specific page, or modify the pages programmatically. References: PageCollection Class, Page Class, Navigate Pages using IronPython in Spotfire®
NEW QUESTION # 20
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 # 21
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 # 22
Which of the following statements about parallel coordinate plot is NOT true?
- A. Parallel coordinate plots can be limited by one or morefiltering
- B. Each column in a parallel coordinate plot uses a different scale
- C. The values in parallel coordinate plot are always normalized
- D. A parallel coordinate plot maps each row in the data table as a bar
Answer: D
Explanation:
A parallel coordinate plot maps each row in the data table as a line, or profile. Each attribute of a row is represented by a point on the line. This makes parallel coordinate plots similar in appearance to line charts, but the way data is translated into a plot is substantially different1. Therefore, statement B is not true, as it incorrectly describes the parallel coordinate plot as using bars instead of lines. References: What is a Parallel Coordinate Plot?
NEW QUESTION # 23
The Linear Regression method in Predictive Modelling does the following
- A. Models the numeric response column as a weighted sum of the predictor columns
- B. Models the categorical response column as a weighted sum of predictor columns
- C. Creates a binary tree by recursively splitting the data on the predictor values
- D. Used when the response column is categorical with only two possible values
Answer: A
Explanation:
The Linear Regression method in Predictive Modelling is used when the response column is numeric and continuous, and the relationship between the response and the predictors is assumed to be linear. The Linear Regression method models the numeric response column as a weighted sum of the predictor columns, plus an intercept term. The weights, or coefficients, are estimated by minimizing the sum of squared errors between the observed and predicted values1. The Linear Regression method can be used to assess the significance and effect of each predictor, as well as to make predictions for new data2. References: Building a Regression Model in Spotfire, TIBCO Spotfire - Use Regression Modeling to Predict Numerical Values
NEW QUESTION # 24
Which two tasks does the Business Author version of Web Client allow users to do? Choose 2 answers
- A. Create information links
- B. Share analysis
- C. Create property controls
- D. Create analysis
- E. Create data sources
Answer: B,D
Explanation:
The Business Author version of Web Client is a web-based interface that allows users to create and edit analyses from a browser. Users can perform tasks such as adding data tables, visualizations, filters, markings, and pages to an analysis. They can also share their analyses with other users through the Library or by sending links via email. However, they cannot create information links, property controls, or data sources, which are more advanced features that require the Spotfire Analyst client. References: Overview of TIBCO Spotfire clients, How to enable Business Authoring on the TIBCO Spotfire Web Player
NEW QUESTION # 25
Which of the following is not a filter type in Spotfire?
- A. Radio Button Filter
- B. Toggle Filter
- C. Range Filter
- D. ItemFilter
Answer: B
Explanation:
A toggle filter is not a filter type in Spotfire, but a way to switch between two filter settings for a column. A toggle filter can be created from the right-click menu of a filter, and it will appear as a button in the filters panel. The filter types in Spotfire are determined by the data type of the column, and they can be changed by right-clicking the filter and selecting Filter type. The available filter types are: Item Filter, Range Filter, Radio Button Filter, Check Box Filter, List Box Filter, Slider Filter, Text Filter, Date Filter, Time Filter, and Expression Filter. References: Changing filter type, Filtering Data, Filtering Schemes
NEW QUESTION # 26
Comparison circles are used in which visualization?
- A. Map chart
- B. Line chart
- C. Box plot
- D. Scatter plot
Answer: C
Explanation:
Comparison circles are a way to display whether or not the mean values for various categories (boxes in the box plot) are significantly different from each other. The circles are drawn with their centers at the mean value for the box to which they correspond. If the circles for different groups do not overlap, the means of the two groups are generally significantly different. If the circles have a large overlap, the means are not significantly different. References: What are Comparison Circles? - TIBCO Software
NEW QUESTION # 27
Which two layers of a map chart visualization allow data marking?
Choose 2 answers
- A. Feature layer
- B. Map layer
- C. Theme layer
- D. Marker layer
- E. Image layer
Answer: A,D
Explanation:
Data marking is the process of selecting items or rows in a visualization to view details or manipulate them. In a map chart visualization, data marking can be applied to two layers: the marker layer and the feature layer.
The marker layer displays data points as markers or pies on the map, and the feature layer displays geographic features such as countries, regions, or states. Both layers allow data marking by clicking or dragging on the map, or by using axis marking on the scale labels. The map layer, the theme layer, and the image layer do not support data marking, as they are used to display the background map, the color scheme, and the custom images respectively. References:
* Marking in Visualizations1
* Explanation of marking and how it is displayed in visualizations in TIBCO Spotfire2
* Map Chart Properties - Data - Map with Markers or Pies3
NEW QUESTION # 28
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 # 29
What are the three different types of properties that can be linked to a property control? Choose 3 answers
- A. Visualization Properties
- B. Data Table Properties
- C. Column Properties
- D. Text Area Properties
- E. Document Properties
Answer: B,C,E
Explanation:
Property controls are devices that can change the content of a property in an easy way. They can be linked to three different types of properties: document properties, data table properties, and column properties.
Document properties are properties that are defined for the entire analysis and can be used in expressions, scripts, or filters. Data table properties are properties that are defined for a specific data table and can be used in expressions or scripts. Column properties are properties that are defined for a specific column in a data table and can be used in expressions or scripts. Text area properties and visualization properties are not types of properties that can be linked to a property control, but rather properties of the text area or visualization itself. References: Details on Property Control, Dependent Property Controls in TIBCO Spotfire®
NEW QUESTION # 30
Which one of the following can be inserted into a text area?
- A. Visualizations
- B. Data table
- C. Dynamic item
- D. Calculated column
- E. Custom expression
Answer: C
Explanation:
A text area is a component that can be added to a page in Spotfire to provide text, images, links, buttons, property controls, filters, and dynamic items1. A dynamic item is a small visualization that can display an aggregated view of some data, such as a calculated value, asparkline, an icon, or a bullet graph2. A dynamic item can be inserted into a text area by using the Insert Dynamic Item option in the text area toolbar3. The other options are not valid items that can be inserted into a text area. A calculated column, a data table, and a custom expression are data-related concepts that can be used in Spotfire to create or manipulate data tables and columns4. A visualization is a graphical representation of data that can be added to a page as a separate component5. References: How to Use the Text Area, Dynamic Items - TIBCO Software, How to Insert a Dynamic Item, Data in Analysis - TIBCO Software, Visualizations - TIBCO Software
NEW QUESTION # 31
Which of the following is not a statistical function?
- A. CountSmall()
- B. StdDev()
- C. LAV ()
- D. CountBig()
Answer: A
Explanation:
CountSmall() is not a valid statistical function in TIBCO Spotfire. It is not listed among the statistical functions that can be used in expressions or data functions. The other options are valid statistical functions that can perform calculations such as counting non-empty values, computing the lower adjacent value, or calculating the standard deviation. References: Statistical Functions - TIBCO Software
NEW QUESTION # 32
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 # 33
Which two are not permission levels for a Spotfire Library folder?
Choose 2 answers
- A. Access
- B. Modify
- C. Browse + Access
- D. Browse
- E. Browse + Access + Modify
Answer: A,B
Explanation:
According to the official documentation, there are four levels of permissions that can be set for a folder in the library: Access, Browse + Access, Browse + Access + Modify, and Full Control12. Therefore, the options A (Access) and C (Modify) are not valid permission levels by themselves. Access only allows the user to execute information links in the folder, but not browse or open the contents1. Modify is not a standalone permission level, but a part of Browse + Access + Modify, which allows the user to modify and save items in the folder1. References: 1: Setting Folder Permissions - TIBCO Software1, 2: Permissions - TIBCO Software2
NEW QUESTION # 34
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