Getting Started with Spotfire Statistica®

The following e-learning materials provide helpful hints and guidance to navigate the software more efficiently. You may see Statistica referenced as Spotfire Statistica or Spotfire Data Science Workbench) or Statistica within videos and documentation. This is the same application.

IMPORTANT: There are two user interfaces within the Statistica application.

Interactive: data is visualized within a spreadsheet, and analysis is completed on the spreadsheet by selecting menu items.
Workflow: no/low code sequence of steps (retrieve data > transform data > analyze > write results to a database, etc..) to complete an analytic project, workflow is visualized within a workspace object and can be scheduled to execute, run ad-hoc within Statistica or execute within the Spotfire user interface.

Videos

Looking for videos to get started?

Some helpful videos (with some walk-throughs) include:

Documentation

Electronic Statistics Textbook is recommended by Encyclopedia Britannica for its "Quality, Accuracy, Presentation, and Usability."This online textbook covers Statistical theory and how to interpret results.

Product Help Examples - Additional examples and information can be found in the help documents that come with your software. After starting the Statistica application, type F1. Look in the Contents tab. Read the Feature Finder article, then explore the over 70 step-by-step examples for Statistica and Statistica Enterprise Manager. You can also search, using the keyword Example, to locate these articles within the help.

Statistica Object Model Documentation - This help document is attached to bottom of this page; sdn.zip. It is also installed your software. After starting the Statistica application, type F1. Look at the bottom of Contents tab for Statistica Object Model. Virtually every detail of data importing, visualization, cleaning, data analysis, predictive analytics, and reporting can be controlled via a scripting language. Macros can be recorded within Statistica and saved for re-running later. Business logic can be stored within Statistica Enterprise Manager. These objects can be called directly from many other applications or COM-compliant programming languages (e.g., C#, C++, Java, VB.NET).

Examples & Templates

Examples can be downloaded from Exchange.

Statistica also ships with workspace examples & templates to help get started on a project. Examples contain data that connects with a workflow to complete various analytics; data cleaning to modeling building. Templates do not include example data.

To open an example start Statistica. Select Home menu > pull down arrow on Open menu > Open Examples menu. Browser to the Workspaces folder.

Open Basic_DM_Example to see a simple example. Select the Run All button to execute the workflow and explore the different steps. This executes model building for three different algorithms. The training and testing workflows will decide which model is the best. Delete the CreditScoring dataset and connect to your data.

Data Cleaning, Transformation, Feature Selection

Here is a short list of data-related examples.

Anonymize Variable Names
Automated Data Cleaning
Create Design Matrix
Feature Selection with Spark
Feature Selection with Statistica
Lasso Regression
Spotfire Data Science Import; call Spotfire Data Science workflow and return results to Statistica for metadata analysis

Champion Challenger

Here are the examples that build multiple models and select the best-performing model.

Advanced Comprehensive Classifiers; General Discriminant Analysis (GDA) Models vs C&RT Standard Trees vs Standard CHAID vs Exhaustive CHAID vs Neural Network
Advanced Comprehensive Regression Models; General Regression Models (GRM) vs C&RT Standard Trees vs Standard CHAID vs Exhaustive CHAID vs Neural Network
Customer Churn Analysis; C&RT Standard Trees vs Boosted Trees vs Generalized Linear/Nonlinear Models (GLZ)
General Forecaster Neural Network Time Series; Simple Exponential Smoothing and Forecasting vs Exponential Smoothing and Forecasting vs ARIMA Models and Forecasting vs Neural Network
Spark Model Comparison; Statistica Random Forest vs Spark Random Forest
Spark Regression; Linear Regression vs Logistic Regression vs Generalized Linear Model (GLM)
Spark Trees; Decision Tree vs Random Forest

Horizontal or Vertical Solutions

Credit Scoring WoE
Customer Churn Analysis
Consumer Preferences
MNIST Digit Recognition with Microsoft CNTK
MNIST Digit Recognition with H2O Deep Learning
Non-Linear Time Series for R - integration with R
Optimization - Bayesian Optimization for Binary Response
Optimization - Bayesian Optimization for Continuous Response
Transportation / logistic delay prediction with H2O Deep Learning
Website visitors association

Other

H2O DRF Distributed Random Forest
H2O K-Means
H2O PCA Principal Component Analysis
General Classification Quick Linear Models
General Quick Linear Models
SPC Charts With Alarming
SPC Charts

Roles Based Security

Statistica roles based security

Other Resources

Are you an existing user? Try to access the Spotfire Support portal where you can find additional useful information. From there, you can reach Knowledge base articles. Apart from solutions to frequently asked questions, you might find useful articles showing you tips and tricks with the software functionalities such as: How to embed documents in Workspace, How to access help for specific dialog, How to connect to Aster database, What are the cases and variables, etc.

If you are not able to find the information you are looking for, please use Forums, insert your questions, and tag the product as Spotfire Statistica.

Attachments

You can download attachments from resources

sdn_0.zip

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