Spotfire Online Training

Spotfire Online Training

Performing Data Analytics with Tibco Spotfire Professional

Version 6.5

Performing Data Analytics with Tibco Spotfire

The Following Spotfire Softwares Will Be Used

  • Spotfire Professional
  • Spotfire Server
  • Spotfire Web Player
  • Spotfire Statistics Services
  • Spotfire Active Matrix Enabler
  • Spotfire Miner
  • Spotfire Terr (R Engine)
  • Spotfire Automation Services
  • Spotfire Advanced Data Services
  • R-Language
  • Spotfire Mobile Services

Tibco Spotfire Introduction

  • Spotfire basic skills
  • understanding visualizations
  • performing data filtering
  • learning more through data drill-down
  • the underlying data
  • expected format of a data table
  • loading data using an information link
  • opening new data

Getting Started with Visualizations

  • Properties of Tables
  • Properties of Bar Charts
  • Interpreting Bar Charts
  • Properties of Line Charts
  • Interpreting Line Charts

More Visualizations

  • General Visualizations Features
  • Adjusting Properties
  • Underlying Data
  • Coloring
  • Trellis Visualizations

Filters

  • Filter Types
  • Changing Filter Types
  • Filtering Display Options
  • Organizing Filters
  • Defining Filtering Schemes
  • Drill-Down

Highlighting Items

  • Marking Data
  • Details-On-Demand
  • Details Visualizations
  • Multiple Markings

Saving and Exporting

  • Saving A Spotfire File
  • Exporting Data from Spotfire
  • Exporting Visualizations from Spotfire

More Visualization Types

  • Combination Charts
  • Combination Chart Introduction
  • Combination Chart Properties
  • Using Combination Charts

Scatter Plots

  • Scatter Plot Introduction
  • Scatter Plot Properties
  • Using Scatter Plots
  • 3d Scatter Plots
  • 3d Scatter Plot Introduction
  • 3d Scatter Plot Properties
  • Using 3d Scatter Plots

Pie Charts

  • Pie Chart Introduction
  • Pie Chart Properties
  • Using Pie Charts

Summary Tables

  • Summary Table Introduction
  • Summary Table Properties
  • Using Summary Tables

Cross Tables

  • Cross Table Introduction
  • Cross Table Properties
  • Using Cross Tables

Graphical Tables

  • Graphical Table Introduction
  • Graphical Table Properties
  • Using Graphical Tables

Map Charts

  • Map Chart Introduction
  • Map Chart Properties
  • Using Map Charts

Parallel Coordinate Plots

  • Parallel Coordinate Plot Introduction
  • Parallel Coordinate Plot Properties
  • Using Parallel Coordinate Plots

Treemaps

  • Treemap Introduction
  • Treemap Properties
  • Using Treemaps

Box Plots

  • Box Plot Introduction
  • Box Plot Properties
  • Using Box Plots

Heat Maps

  • Heat Map Introduction
  • Heat Map Properties
  • Using Heat Maps

Text Areas

Coloring

  • Color Modes
  • Color Break Points
  • Coloring Rules
  • Coloring in Tables, Cross Tables And Heat Maps

More Coloring Features

  • Adding Data to An Existing Analysis
  • Adding New Rows to A Data Table
  • Adding New Columns to A Data Table
  • Adding New Data Tables
  • Transformations
  • Pivot
  • Unpivot

Calculate And Replace Column

  • Calculate New Column
  • Change Column Names
  • Change Data Types
  • Data Function
  • Exclude Columns
  • Normalization
  • Preview
  • Formatting Numbers
  • Short Number Format

Handling Multiple Data Tables

  • Selecting A Data Table
  • Filters Panel with Multiple Data Tables

Relating Across Visualizations

Filtering Options

  • Bundling Data
  • Data Binning
  • Auto-Binning
  • Binned Column
  • Using Tags
  • Using Lists
  • Capturing Your Analysis

Bookmarks

  • Adding and Applying Bookmarks
  • Sharing Bookmarks

Deriving More Information from Raw Data

  • Calculated Columns
  • Custom Expressions
  • Similarity Between Custom Expressions and Aggregation Methods
  • The Slicing Concept
  • Markers

Applications of Custom Expressions

  • Basic Syntax Rules
  • Over Expressions
  • Over in Calculated Columns
  • Over in Custom Expressions
  • Terms to Use in Over Expressions

Node Navigation Methods

  • ALL()
  • PREVIOUS()
  • NEXT()
  • ALLPREVIOUS()
  • ALLNEXT()
  • PARENT()
  • INTERSECT()
  • PREVIOUSPERIOD()
  • NEXTPERIOD()
  • LASTPERIOD()
  • PARALLELPERIOD()
  • NODE NAVIGATION EXAMPLES
  • SYNTAX RULES
  • ALL() EXAMPLE
  • PREVIOUS() EXAMPLE
  • NEXT() EXAMPLE
  • ALLPREVIOUS() EXAMPLE
  • ALLNEXT() EXAMPLE
  • PARENT() EXAMPLE
  • INTERSECT() EXAMPLE
  • PREVIOUSPERIOD() EXAMPLE
  • NEXTPERIOD() EXAMPLE
  • LASTPERIODS() EXAMPLE
  • PARALLELPERIOD() EXAMPLE
  • USING FUNCTIONS IN EXPRESSIONS
  • IF()
  • CASE()
  • DATETIMENOW()
  • CONCATENATE()
  • RANK() AND DENSERANK()
  • MAX() AND MIN()

As Statement

  • Nest and Cross Statements
  • Multiple Over Statements

Limiting Data in Visualizations

  • Limiting Data Using Markings
  • Limiting Data Using Filterings
  • Limiting Data Using Expression

Column, Data Table and Document Properties

  • Column Properties
  • Data Table Properties
  • Document Properties
  • Error Bars

Limiting Data in Visualizations

  • Limiting Data Using Markings
  • Limiting Data Using Filtering’s
  • Limiting Data Using Expression

General Workflow for Using Information Designer

  • Creating Advanced Elements
  • Aggregated and Drillable Columns

Loading Data On Demand

  • Sharing Analyses
  • Distribution of Analyses
  • Data Access Options

Pages

  • Cover Page
  • Page Modes

Filters and Filtering Schemes

  • Filter Organization
  • Filtering Schemes

Lines & Curves

  • Horizontal and Vertical Lines…
  • Average and Standard Deviation…
  • Curve Draw
  • Curve from Data Table
  • Line from Column Values
  • Straight Line Fit
  • Polynomial Curve Fit
  • Logistic Regression Curve Fit
  • Power Curve Fit
  • Logarithmic Curve Fit
  • Exponential Curve Fit
  • Gaussian Curve Fit
  • Lines & Curves Example

Statistical Tools

  • Data Relationships
  • Numerical Versus Numerical
  • Numerical Versus Categorical
  • Categorical Versus Categorical
  • Line Similarity
  • Correlation Similarity
  • Euclidean Distance
  • Performing A Line Similarity Calculation
  • K-Means Clustering
  • Performing K-Means Clustering
  • Interpreting K-Means Clustering Results
  • Hierarchical Clustering

Information Links

  • Creating an Information Link
  • Adding Elements to The Information Link
  • Specifying Join Paths
  • Specifying Description
  • Adding Filters and Prompts
  • Specifying Conditioning
  • Showing Parameters
  • Specifying Properties
  • Saving The Information Link
  • Viewing and Editing Sql Paths
  • Opening Data Using an Information Link
  • Personalized Information Links
  • Parameterized Information Links
  • Predictive Analytics and Modelling
  • Using Spotfire Miner and Spotfire Professional
  • Classification Regression
  • Linear Regression
  • Classification Tree
  • Linear Regression Tree
  • Clustering
  • Anova
  • Classification Neural Network

Integration With Other Tibco Software’s

  • Updating Reports Dynamically Using BW and EMS Server
  • Updating Reports Dynamically Using WebServices