Index
A
- active element / Referencing and manipulating the primary elements in an analysis file
- Administration Manager
- about / A quick guide to Administration Manager
- Users tab / A quick guide to Administration Manager, Users
- Groups and Licenses tab / A quick guide to Administration Manager, Groups and Licenses
- Preferences tab / A quick guide to Administration Manager, Preferences
- analysis
- framing, text areas used / Framing your analysis using text areas
- data, adding to / How to add data to an analysis
- configurable business rules, incorporating into / Incorporating configurable business rules into your analysis
- analysis snapshots
- creating, bookmarks used / Creating analysis snapshots using bookmarks
- automatic geocoding
- Automation Services
- about / Automating tasks using Automation Services
- used, for automating tasks / Automating tasks using Automation Services
- jobs, running / Running Automation Services jobs
- axes properties
- about / Axes properties
- example script / Example script
B
- background map layers
- creating / Creating background map layers
- bar charts
- used, for visualizing categorial information / Visualizing categorical information using bar charts
- Bar Chart visualization
- BaseballPlayerData.xls
- URL, for downloading / Framing your analysis using text areas, Basic metric
- baseball player data table
- unpivoting / Unpivot
- base template, metadata-driven self-service analytics case study
- about / Base template
- KPI Page / KPI Page
- basic metric
- about / Basic metric
- basic row/column structure, of data table
- Big Data
- about / Spotfire data connectors
- binning functions
- used, for categorizing continuous numerical data / Categorizing continuous numerical data using binning functions
- bookmarks
- used, for creating analysis snapshots / Creating analysis snapshots using bookmarks
- box plot
- used, for visualizing statistical measures / Visualizing statistical measures using box and whisker plots
- Box Plot visualization
- business applications, multiple industries
- Financial Services / Event analytics
- Intelligence / Event analytics
- Manufacturing / Event analytics
- Retail and E-commerce / Event analytics
- Telco / Event analytics
- Online Gaming and Social Media / Event analytics
C
- caching, TIBCO Spotfire Advanced Data Services / Caching
- calculated columns
- used, for creating metrics / Creating metrics using calculated columns
- versus custom expressions / Key Spotfire concept – difference between calculated columns and custom expressions
- about / Calculated columns
- example script / Example Script
- categorical information
- visualizing, with bar charts / Visualizing categorical information using bar charts
- categorical information, and trends
- visualizing, together in combination charts / Visualizing categorical information and trends together in combination charts
- Change a filter option
- about / Change a filter
- script example / Script example
- ChangeDataTable script / IronPython scripts
- ChangeMetric script / IronPython scripts
- check box filter
- about / Key Spotfire concept – filters
- Cisco information server
- about / Cisco information server
- color
- manipulating / How to manipulate color
- Color by category
- about / Color by category
- example script / Example script
- Color by rule
- about / Color by rule
- example script / Example script
- coloring tables
- about / Coloring tables and cross tables
- example script / Example script
- color rules
- column, adding to table
- about / Add a column to a table
- script example / Script example
- columnar databases
- about / Columnar databases
- column matching
- about / Column matching
- Columns, Information Designer / Columns
- column signatures / Add a column to a table
- combination charts
- categorical information and trends, visualizing in / Visualizing categorical information and trends together in combination charts
- Combination Chart visualization
- complex data manipulations
- optimizing, in-database analytics used / Optimizing complex data manipulations using in-database analytics
- complex multidimensional data
- visualizing, heat maps used / Heat maps
- Comprehensive R Archive Network (CRAN)
- configurable business rules
- incorporating, into analysis / Incorporating configurable business rules into your analysis
- connection string
- about / Connecting to a database
- continuous numerical data
- categorizing, binning functions used / Categorizing continuous numerical data using binning functions
- control structures / Control structures
- coordinate columns / Coordinate columns
- coordinate reference systems / Key mapping concept – coordinate reference systems
- core components, Spotfire
- Spotfire Server / An overview of Spotfire components and architecture
- Spotfire Database / An overview of Spotfire components and architecture
- Spotfire Web Player / An overview of Spotfire components and architecture
- Spotfire Automation Services / An overview of Spotfire components and architecture
- Spotfire Client / An overview of Spotfire components and architecture
- cross tables
- used, for creating dynamic pivots / How to create dynamic pivots using cross tables
- about / Coloring tables and cross tables
- example script / Example script
- cross table visualization
- about / Cross table visualization
- cross tabulation
- about / Cross tabulation
- cursors
- about / Reading a table
- curves
- about / Reference lines and curves
- script example / Script example
- custom expressions
- applying, to visualization properties / Applying custom expressions directly to visualization properties
- about / Applying custom expressions directly to visualization properties
- versus calculated columns / Key Spotfire concept – difference between calculated columns and custom expressions
D
- data
- annotating / Annotating data using tags and lists
- annotating, lists used / Using lists
- annotating, tags used / Using tags
- merging, from multiple sources / Merging data from multiple sources
- selecting, for data connection / Selecting data for a data connection
- mashing up, from different tables in single visualization / Mashing up data from different tables in a single visualization
- profiling, parallel coordinate plots used / Profiling your data using parallel coordinate plots
- publishing / Exporting and publishing data and visualizations
- exporting / Exporting and publishing data and visualizations
- manipulating / Manipulating data already loaded into Spotfire
- marking / Marking and selecting data, Example script 1, Example script 2
- selecting / Marking and selecting data, Example script 1, Example script 2
- adding, to analysis / How to add data to an analysis
- data, linking
- about / How to link data in Spotfire
- tables, relating / How to relate two tables
- column matching / Column matching
- data, merging from multiple sources
- columns, inserting / Insert columns
- rows, inserting / Insert rows
- data, Spotfire
- adding, from files / Adding data to Spotfire from files
- Microsoft Excel spreadsheet, importing / Importing a Microsoft Excel spreadsheet into Spotfire
- text file, importing / Importing a text file into Spotfire
- structured file types, importing / Importing other file types into Spotfire
- database, connecting
- about / Connecting to a database
- ODBC, using / Using ODBC
- ODBC connection, setting up in Microsoft Windows 7 / How to set up an ODBC connection in Microsoft Windows 7
- ODBC connection, using in Spotfire / Using an ODBC connection in Spotfire
- Data Catalog
- data concept
- basic row/column structure, of data table / Key data concept – basic row/column structure of a data table
- data types / Key data concept – data types
- data relationships / Key data concept – data relationships
- data queries / Key data concept – data queries
- data delivery, TIBCO Spotfire Advanced Data Services / Data delivery
- data functions, TIBCO Enterprise Runtime for R (TERR)
- about / Data functions
- principal components / Data functions
- data granularity
- about / How to relate two tables
- Data Panel tool
- using / Using the Data Panel tool
- data queries
- about / Key data concept – data queries
- SQL statement anatomy / Anatomy of a SQL statement
- data relationships
- data source
- defining / Define a data source
- Data Source, Information Designer / Data Source
- data structure
- transforming, pivot transformation used / Transforming data structure through pivots and unpivots
- transforming, unpivot transformation used / Transforming data structure through pivots and unpivots
- Data Table Properties
- about / How to relate two tables
- data tables
- about / Data tables
- data types
- about / Key data concept – data types
- numbers / Key data concept – data types
- text / Key data concept – data types
- dates / Key data concept – data types
- dendrogram
- about / Dendrograms
- Department Performance page, guided analysis
- about / Department Performance page
- sliders / Department Performance page
- custom filters / Department Performance page
- navigation link / Department Performance page
- calculated columns / Department Performance page
- hierarchies / Department Performance page
- Scatter Plot / Department Performance page
- table / Department Performance page
- Bar Chart (for net profit) / Department Performance page
- treemap / Department Performance page
- Deployment page / Example metadata table/spreadsheet
- Deploy Metadata button / Example metadata table/spreadsheet
- dimensional hierarchies / Key data concept – dimensional hierarchies
- dimensionality
- adding, to data by defining hierarchies / Adding dimensionality to your data by defining hierarchies
- distribution
- Document, API / Referencing and manipulating the primary elements in an analysis file
- document color schemes
- Document Color Scheme visualization / Defining color rules and organizing document color schemes
- document property
- overview / Key Spotfire concept – document properties
- dynamic metric
- about / Dynamic metric
- dynamic pivots
- creating, cross tables used / How to create dynamic pivots using cross tables
E
- error bars
- visualizations, annotating with / Annotating visualizations with reference lines, fitted curves, and error bars
- about / Error bars, Error bars
- Eurostat
- eurostatHICP.xlsx
- URL, for downloading / Profiling your data using parallel coordinate plots
- event analytics
- about / Event analytics
- TIBCO StreamBase / TIBCO StreamBase
- StreamBase and TERR / StreamBase and TERR
- contextual analysis and mobile metrics / Contextual analysis and mobile metrics
- Export button, Library Administration interface / Import and Export
- expression functions, TIBCO Enterprise Runtime for R (TERR) / Expression functions
- external libraries
- about / Some useful external libraries
- import clr / Some useful external libraries
- import re / Some useful external libraries
- from System.Collections.Generic import Dictionary / Some useful external libraries
- from System.Drawing import Color / Some useful external libraries
- from System.Drawing import Font / Some useful external libraries
- from System import Guid / Some useful external libraries
- from System import Array,String,Object / Some useful external libraries
F
- feature layer
- incorporating / Incorporating and using a feature layer
- using / Incorporating and using a feature layer
- Feature Layer / Key Spotfire concept: map chart layers
- Filter, Information Designer / Filter
- filtering schemes
- about / Key Spotfire concept – filters
- filter panel
- customizing / Customizing the filter panel
- filters
- about / Key Spotfire concept – filters
- range filter / Key Spotfire concept – filters
- item filter / Key Spotfire concept – filters
- check box filter / Key Spotfire concept – filters
- radio button filter / Key Spotfire concept – filters
- text filter / Key Spotfire concept – filters
- list box filter / Key Spotfire concept – filters
- applying / Key Spotfire concept – filters
- resetting / Key Spotfire concept – filters
- manipulating / How to manipulate filters
- filter types / Using the inbuilt filters in Spotfire
- fitted curves
- visualizations, annotating with / Annotating visualizations with reference lines, fitted curves, and error bars
- folder permissions, Library Administration interface / Folder permissions
- functions / Functions
G
- generic visualization properties
- about / Generic visualization properties
- example script / Example script
- GeoAnalytics
- geocoding
- geographic drill-down / Geographic drill-down
- globally unique identifier (GUID) / Import and Export
- global unique identifiers(GUID) / Some useful external libraries
- gradient coloring
- about / Gradient coloring
- Graphical Table visualization
- gross domestic product (GDP) figures / Visualizing hierarchical relationships using treemaps
- Groups and Licenses tab, Administration Manager / A quick guide to Administration Manager, Groups and Licenses
- guided analysis
- building / Building a guided analysis
- Index page / Index page
- Projections page / Projections page
- Department Performance page / Department Performance page
- History Arrows mode / History Arrows
H
- Hadoop
- about / Hadoop
- heat maps
- used, for visualizing complex multidimensional data / Heat maps
- Heat Map visualization
- Hide a filter group option
- about / Hide a filter group
- hierarchical relationships
- visualizing, treemaps used / Visualizing hierarchical relationships using treemaps
- hierarchy nodes
- used, for dicing data / Slicing and dicing data using hierarchy nodes
- used, for slicing data / Slicing and dicing data using hierarchy nodes
- LastPeriods method / LastPeriods
- Parent method / Parent
- PreviousPeriod method / PreviousPeriod
- ParallelPeriod method / ParallelPeriod
- NavigatePeriod method / NavigatePeriod
- Intersect method / Intersect
- used, for slicing visualizations / Slicing and dicing visualizations using hierarchy nodes
- used, for dicing visualizations / Slicing and dicing visualizations using hierarchy nodes
- histogram
- History Arrows, guided analysis
- about / History Arrows
- History Arrows navigation mode / Building a guided analysis
- Holt-Winters forecast, TIBCO Enterprise Runtime for R (TERR) / Holt–Winters forecast
- HourlyTemperatures.txt
- URL, for downloading / Heat maps
- HP Vertica
- about / Columnar databases
- hypothesis / Visualizing statistical measures using box and whisker plots
I
- Image Layer / Key Spotfire concept: map chart layers
- Import button, Library Administration interface / Import and Export
- in-database (in-db) / Optimizing complex data manipulations using in-database analytics
- in-database analytics
- used, for optimizing complex data manipulations / Optimizing complex data manipulations using in-database analytics
- in-database views
- creating / Creating in-database views
- inbuilt filters
- using, in Spotfire / Using the inbuilt filters in Spotfire
- Index page, guided analysis
- about / Index page
- information
- displaying, in tabular form / Displaying information quickly in tabular form
- Information Designer
- about / A quick tour of Information Designer
- Data Source / Data Source
- Columns / Columns
- Join / Join
- Filter / Filter
- Procedure / Procedure
- Information Links / Information Links
- using / Using Spotfire's Information Designer
- information link
- building, to multiple source data tables / Building an information link to multiple source data tables
- building, which writes data back to database / Building an information link that writes data back to a database
- information links / A quick tour of Information Designer
- Information Links, Information Designer
- about / Information Links
- Elements section / Information Links
- Join path section / Information Links
- Description section / Information Links
- Filters section / Information Links
- Prompts section / Information Links
- Conditioning section / Information Links
- Parameters section / Information Links
- Properties section / Information Links
- Caching section / Information Links
- inner join / Building an information link to multiple source data tables
- interactivity
- increasing, property controls used / Increasing interactivity using property controls
- Internet Information Services (IIS)
- IronPython
- about / Introduction to IronPython
- URL / Introduction to IronPython
- IronPython scripts, metadata-driven self-service analytics case study
- RefreshMetadata / IronPython scripts
- ChangeDataTable / IronPython scripts
- ChangeMetric / IronPython scripts
- deployment page, creating / Deployment page
- runtime scripts / Runtime scripts
- item filter
- about / Key Spotfire concept – filters
J
- JavaScript
- about / JavaScript
- jobs, Automation Services
- running / Running Automation Services jobs
- join / Anatomy of a SQL statement
- Join, Information Designer / Join
K
- KPI Page, metadata-driven self-service
- source data / KPI Page
- KPI Page, metadata-driven self-service analytics case study
- KPI sets, Mobile Metrics
- setting up / Setting up KPI sets
L
- libraries / Libraries
- Library Administration interface
- using / Using the Library Administration interface
- folder permissions / Folder permissions
- Export button / Import and Export
- Import button / Import and Export
- Library Administrator / Using the Library Administration interface
- Line Chart visualization
- list box filter
- about / Key Spotfire concept – filters
- lists
- used, for annotating data / Using lists
- logical layer / Metadata modeling
M
- map chart
- Web Map Service data, adding to / Adding Web Map Service data to a map chart
- using, for nongeographical spatial analysis / Using the map chart for nongeographic spatial analysis
- map chart layers
- overview / Key Spotfire concept: map chart layers
- Map Chart visualization / Creating background map layers
- Map Layer / Key Spotfire concept: map chart layers
- marked items
- details, obtaining of / Getting details of marked items
- Marker Layer / Key Spotfire concept: map chart layers
- marking
- about / Key Spotfire concept – marking, Marking
- color, changing / How to change the marking color
- behaviors, setting / How to set the marking behavior of a visualization
- metadata
- about / Key data concept – metadata
- metadata-driven self-service analytics case study
- about / A metadata-driven self-service analytics case study
- metadata / Metadata
- source data / Source data
- base template / Base template
- IronPython scripts / IronPython scripts
- metadata modeling, TIBCO Spotfire Advanced Data Services / Metadata modeling
- metadata table/spreadsheet
- example / Example metadata table/spreadsheet
- metrics
- creating, calculated columns used / Creating metrics using calculated columns
- Microsoft Active Directory / A quick guide to Administration Manager
- Microsoft Excel spreadsheet
- importing, into Spotfire / Importing a Microsoft Excel spreadsheet into Spotfire
- Microsoft Online Analytical Processor (MSOLAP) / Setting up KPI sets
- Mobile Metrics
- about / Mobile Metrics
- KPI sets, setting up / Setting up KPI sets
- Model Page / Predictive modeling
- multiple source data tables
- information link, building to / Building an information link to multiple source data tables
- multiple sources
- data, merging from / Merging data from multiple sources
N
- narrow tables
- versus wide tables / Key data concept – narrow tables versus wide tables
- National Climatic Data Center
- URL / Error bars, Heat maps
- nongeographic spatial analysis
- map chart, using for / Using the map chart for nongeographic spatial analysis
- nonparametric statistics
- normal data distributions
- reference link / Visualizing statistical measures using box and whisker plots
O
- object orientation / Object orientation
- ODBC
- about / Using ODBC
- connection, setting up in Microsoft Windows 7 / How to set up an ODBC connection in Microsoft Windows 7
- connection, using in Spotfire / Using an ODBC connection in Spotfire
- on base percentage (OBP) / Basic metric
- online analytical processing (OLAP)
- about / Online analytical processing
- optional components, Spotfire
- Spotfire Advanced Data Services / An overview of Spotfire components and architecture
- Spotfire Statistics Services / An overview of Spotfire components and architecture
- Spotfire Desktop / An overview of Spotfire components and architecture
- OVER functions / Slicing and dicing data using hierarchy nodes
P
- pages
- about / Pages
- example script / Example script
- panels
- about / Panels
- parallel coordinate plots
- used, for profiling data / Profiling your data using parallel coordinate plots
- Parallel Coordinate Plot visualization
- parametric statistics
- Pareto chart
- ParetoData.xlsx
- URL, for downloading / Visualizing categorical information and trends together in combination charts
- Pie Chart visualization
- pivot aggregation
- examples / Pivot aggregations
- pivot transformation
- used, for transforming data structure / Transforming data structure through pivots and unpivots
- predictive modeling, TIBCO Enterprise Runtime for R (TERR) / Predictive modeling
- Preferences tab, Administration Manager / A quick guide to Administration Manager, Preferences
- primary elements
- referencing, in analysis file / Referencing and manipulating the primary elements in an analysis file
- manipulating, in analysis file / Referencing and manipulating the primary elements in an analysis file
- pages / Pages
- visualizations / Visualizations
- properties / Properties, Example script
- data tables / Data tables
- marking / Marking
- panels / Panels
- Private Bookmarks / Creating analysis snapshots using bookmarks
- Procedure, Information Designer / Procedure
- programming concepts
- control structures / Control structures
- libraries / Libraries
- lists / Lists
- functions / Functions
- object orientation / Object orientation
- Projections page, guided analysis
- about / Projections page
- sliders / Projections page
- hierarchy column / Projections page
- custom filters / Projections page
- Link to Index page / Projections page
- calculated columns / Projections page
- graphical table / Projections page
- combination chart / Projections page
- properties
- about / Properties
- example script / Example script
- property controls
- used, for increasing interactivity / Increasing interactivity using property controls
- proportions
- visualizing, pie charts used / Visualizing proportions using pie charts
- Public Bookmarks / Creating analysis snapshots using bookmarks
- Python
- about / Introduction to IronPython
- URL / Introduction to IronPython
Q
- query engine, TIBCO Spotfire Advanced Data Services / Query engine
R
- R
- radio button filter
- about / Key Spotfire concept – filters
- RAG value / Incorporating configurable business rules into your analysis
- range filter
- about / Key Spotfire concept – filters
- reference lines
- visualizations, annotating with / Annotating visualizations with reference lines, fitted curves, and error bars
- about / Reference lines and curves
- script example / Script example
- RefreshMetadata script / IronPython scripts
- relationships
- visualizing, scatter plots used / Visualizing relationships using scatter plots
- representative metadata content
- BaseTable / BaseTable
- MetadataKpis / BaseTable
- MetadataBusinessRules / Source data
- rows, adding to table
- about / Add rows to a table
- script example / Script example
- R Project for Statistical Computing
S
- SAP
- about / Columnar databases
- Scatter Plot visualization
- scripts
- creating / Creating scripts
- skewed data distributions
- reference link / Visualizing statistical measures using box and whisker plots
- Skylab Mobilesystems
- source data, metadata-driven self-service analytics case study / Source data
- Spatineo
- Spotfire
- data, adding from files / Adding data to Spotfire from files
- inbuilt filters, using / Using the inbuilt filters in Spotfire
- Table visualization / Displaying information quickly in tabular form
- marking / Key Spotfire concept – marking
- filters / Key Spotfire concept – filters
- core components / An overview of Spotfire components and architecture
- optional components / An overview of Spotfire components and architecture
- Spotfire 6.5
- about / Spotfire 6.5
- Spotfire Advanced Data Services
- Spotfire Analyst
- Spotfire API
- overview / Overview of the Spotfire API
- Spotfire Automation Services
- Spotfire Business Author
- Spotfire Client
- Spotfire Consumer
- Spotfire Database
- Spotfire data connectors
- about / Spotfire data connectors
- Hadoop / Hadoop
- columnar databases / Columnar databases
- online analytical processing (OLAP) / Online analytical processing
- Teradata / Teradata
- Cisco information server / Cisco information server
- Spotfire Desktop
- Spotfire Server
- Spotfire Statistics Services
- Spotfire Web Player
- SQL statement
- anatomy / Anatomy of a SQL statement
- station inventory data
- URL, for downloading / Using automatic geocoding to accurately position locations from your data on a map
- statistical measures
- visualizing, box plot used / Visualizing statistical measures using box and whisker plots
- visualizing, whisker plot used / Visualizing statistical measures using box and whisker plots
- summarizing, summary tables used / Summarizing statistical measures using summary tables
- Step-by-Step navigation mode / Building a guided analysis
- StoreSales.csv
- URL, for downloading / Building a guided analysis
- StreamBase Studio
- about / TIBCO StreamBase
- structured file types
- importing, into Spotfire / Importing other file types into Spotfire
- summary information
- providing, at glance / Providing summary information at a glance
- summary tables
- used, for summarizing statistical measures / Summarizing statistical measures using summary tables
- Summary Table visualization / Summarizing statistical measures using summary tables
- system monitoring tools
- overview / An overview of system monitoring tools
T
- table
- reading / Reading a table, Example script
- table visualization
- about / Table visualization
- script example / Script example
- Table visualization
- about / Displaying information quickly in tabular form
- General property / Displaying information quickly in tabular form
- Data property / Displaying information quickly in tabular form
- Columns property / Displaying information quickly in tabular form
- Show/Hide Items property / Displaying information quickly in tabular form
- color properties / Enriching your visualizations with color categorization
- tabular presentations
- enhancing, graphical tables used / Enhancing tabular presentations using graphical tables
- tags
- used, for annotating data / Using tags
- tasks
- automating, Automation Services used / Automating tasks using Automation Services
- Teradata
- about / Teradata
- text areas
- used, for framing analysis / Framing your analysis using text areas
- text file
- importing, into Spotfire / Importing a text file into Spotfire
- text filter
- about / Key Spotfire concept – filters
- text values
- TIBCO
- URL, for Spotfire data connectors / Spotfire data connectors
- TIBCO Enterprise Runtime for R (TERR)
- about / An overview of Spotfire components and architecture, TIBCO Enterprise Runtime for R (TERR)
- URL / TIBCO Enterprise Runtime for R (TERR)
- data functions / Data functions
- expression functions / Expression functions
- predictive modeling / Predictive modeling
- Holt-Winters forecast / Holt–Winters forecast
- TIBCO Spotfire Advanced Data Services
- about / TIBCO Spotfire Advanced Data Services
- data delivery / Data delivery
- caching / Caching
- metadata modeling / Metadata modeling
- query engine / Query engine
- TIBCO Spotfire Library Administration license / Using the Library Administration interface
- TIBCO StreamBase
- about / TIBCO StreamBase
- treemap
- Treemap visualization
- about / Visualizing hierarchical relationships using treemaps
- properties / Visualizing hierarchical relationships using treemaps
- Hierarchy property / Visualizing hierarchical relationships using treemaps
- Size property / Visualizing hierarchical relationships using treemaps
- Color property / Visualizing hierarchical relationships using treemaps
- trellising
- trends
- visualizing, line charts used / Visualizing trends using line charts
- triple exponential smoothing technique / Holt–Winters forecast
- tuple
- about / Data tables
U
- unpivot
- reversing / Pivot
- unpivot transformation
- used, for transforming data structure / Transforming data structure through pivots and unpivots
- Users tab, Administration Manager / A quick guide to Administration Manager, Users
V
- view
- about / Anatomy of a SQL statement
- visualization-specific properties
- visualization properties
- custom expressions, applying to / Applying custom expressions directly to visualization properties
- manipulating / How to manipulate visualization properties
- visualizations
- enriching, with color categorization / Enriching your visualizations with color categorization
- dividing, across trellis grid / Dividing a visualization across a trellis grid
- slicing, hierarchy nodes used / Slicing and dicing visualizations using hierarchy nodes
- dicing, hierarchy nodes used / Slicing and dicing visualizations using hierarchy nodes
- exporting / Exporting and publishing data and visualizations
- publishing / Exporting and publishing data and visualizations
- about / Visualizations
- example script / Example script
- visualizations, annotating
- with reference lines / Annotating visualizations with reference lines, fitted curves, and error bars
- with fitted curves / Annotating visualizations with reference lines, fitted curves, and error bars
- with error bars / Annotating visualizations with reference lines, fitted curves, and error bars
- VisualTypeIdentifiers enumeration / Visualizations
W
- W3Schools
- w3schools website
- Web Map Service (WMS) Layer / Key Spotfire concept: map chart layers
- Web Map Service data
- adding, to map chart / Adding Web Map Service data to a map chart
- whisker plot
- used, for visualizing statistical measures / Visualizing statistical measures using box and whisker plots
- wide tables
- versus narrow tables / Key data concept – narrow tables versus wide tables
- wireframes