SlideShare uma empresa Scribd logo
1 de 18
SPSS: Quick Look
                      Introduction: What is SPSS? Originally it is an acronym of Statistical Package for the Social Science but now it stands for Statistical Product and Service Solutions One of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions IBM SPSS Statistics 18 (formerly SPSS Statistics) puts the power of advanced statistical analysis in your hands.
SPSS Program Flow
4 Data Import Functions Primary Functions of the Data Import: Create SPSS data files from external files Modify, manipulate or enhance existing SPSS data files Successful Transfer data to accepted format for processing
The Four Windows in SPSS
The Four Windows: Data Editor Data Editor: Spreadsheet-like system for defining, entering, editing, and displaying data. Extension of the saved file will be “sav.”
The Four Windows: Output Viewer Output Viewer: Displays output and errors. Extension of the saved file will be “spv.”
The Four Windows: Syntax editor Syntax Editor: Text editor for syntax composition. Extension of the saved file will be “sps.”
The Four Windows: Script Window Script Window: Provides the opportunity to write full-blown programs, in a BASIC-like language. Text editor for syntax composition. Extension of the saved file will be “sbs.”
Launching SPSS The default window will have the data editor There are two sheets in the window:     1. Data view		2.  Variable view
Click  Data View window The Data View window 	This sheet is visible when you first open the Data Editor and this sheet contains the data Click on the tab labeled Variable View
Variable View window: Type
Click  Saving the data To save the data file you created simply click ‘file’ and click ‘save as.’ You can save the file in different forms by clicking “Save as type.”
Sorting the data Click ‘Data’ and then click Sort Cases
Transforming data Click ‘Transform’ and then click ‘Compute Variable…’
Click Transforming data Example: Adding a new variable named ‘numbers’ which is the natural log of height  Type in numbers in the ‘Target Variable’ box. Then type in ‘numbers’ in the ‘Numeric Expression’ box. Click OK
Frequencies This analysis  produces frequency tables showing frequency counts and percentages of the values of individual variables.  Descriptive This analysis shows the maximum, minimum, mean, and standard deviation of the variables Linear regression analysis Linear Regression estimates the coefficients of the linear equation  BasicAnalysis
Visit more self help tutorials Pick a tutorial of your choice and browse through it at your own pace. The tutorials section is free, self-guiding and will not involve any additional support. Visit us at www.dataminingtools.net

Mais conteúdo relacionado

Mais procurados

RefWorks 2: Exporting References - Library Search and Journal Databases
RefWorks 2: Exporting References - Library Search and Journal DatabasesRefWorks 2: Exporting References - Library Search and Journal Databases
RefWorks 2: Exporting References - Library Search and Journal DatabasesEISLibrarian
 
Mendeley Organize. Collaborate. Discover
Mendeley Organize. Collaborate. DiscoverMendeley Organize. Collaborate. Discover
Mendeley Organize. Collaborate. DiscoverDr. Prasanna Kumara BM
 
RefWorks 9: Exporting references from MathSciNet
RefWorks 9: Exporting references from MathSciNetRefWorks 9: Exporting references from MathSciNet
RefWorks 9: Exporting references from MathSciNetEISLibrarian
 
Abap data dictionary
Abap data dictionaryAbap data dictionary
Abap data dictionarySmartGokul4
 
Facebook + Endnote = MENDELEY
Facebook + Endnote = MENDELEYFacebook + Endnote = MENDELEY
Facebook + Endnote = MENDELEYmilesweaver
 
Mendeley Workshop - 29 March 2018
Mendeley Workshop - 29 March 2018Mendeley Workshop - 29 March 2018
Mendeley Workshop - 29 March 2018pvhead123
 
RefWorks 7: Editing References
RefWorks 7: Editing ReferencesRefWorks 7: Editing References
RefWorks 7: Editing ReferencesEISLibrarian
 
MS Access – Part 1 (One Day Workshop)
MS Access – Part 1 (One Day Workshop)MS Access – Part 1 (One Day Workshop)
MS Access – Part 1 (One Day Workshop)Khader Shaik
 
RefWorks Rss feeds
RefWorks Rss feedsRefWorks Rss feeds
RefWorks Rss feedsUCT
 
Access database
Access databaseAccess database
Access databasephaocake
 
APR (Academic and Professional Record) publication data entry
APR (Academic and Professional Record) publication data entryAPR (Academic and Professional Record) publication data entry
APR (Academic and Professional Record) publication data entryTrish Duffel
 
Chem 4235 sept2016 jh
Chem 4235 sept2016 jhChem 4235 sept2016 jh
Chem 4235 sept2016 jhholland_uhcl
 

Mais procurados (19)

RefWorks 2: Exporting References - Library Search and Journal Databases
RefWorks 2: Exporting References - Library Search and Journal DatabasesRefWorks 2: Exporting References - Library Search and Journal Databases
RefWorks 2: Exporting References - Library Search and Journal Databases
 
Mendeley Organize. Collaborate. Discover
Mendeley Organize. Collaborate. DiscoverMendeley Organize. Collaborate. Discover
Mendeley Organize. Collaborate. Discover
 
RefWorks 9: Exporting references from MathSciNet
RefWorks 9: Exporting references from MathSciNetRefWorks 9: Exporting references from MathSciNet
RefWorks 9: Exporting references from MathSciNet
 
Mendeley for Reference Management
Mendeley for Reference ManagementMendeley for Reference Management
Mendeley for Reference Management
 
Abap data dictionary
Abap data dictionaryAbap data dictionary
Abap data dictionary
 
Reference Manager
Reference ManagerReference Manager
Reference Manager
 
Facebook + Endnote = MENDELEY
Facebook + Endnote = MENDELEYFacebook + Endnote = MENDELEY
Facebook + Endnote = MENDELEY
 
Mendeley
MendeleyMendeley
Mendeley
 
Introduction to Mendeley
Introduction to MendeleyIntroduction to Mendeley
Introduction to Mendeley
 
Mendeley Workshop - 29 March 2018
Mendeley Workshop - 29 March 2018Mendeley Workshop - 29 March 2018
Mendeley Workshop - 29 March 2018
 
RefWorks 7: Editing References
RefWorks 7: Editing ReferencesRefWorks 7: Editing References
RefWorks 7: Editing References
 
Mendeley software presentation
Mendeley software presentationMendeley software presentation
Mendeley software presentation
 
Ppt Lesson 13
Ppt Lesson 13Ppt Lesson 13
Ppt Lesson 13
 
MS Access – Part 1 (One Day Workshop)
MS Access – Part 1 (One Day Workshop)MS Access – Part 1 (One Day Workshop)
MS Access – Part 1 (One Day Workshop)
 
Mendeley teaching presentation - english
Mendeley teaching presentation - englishMendeley teaching presentation - english
Mendeley teaching presentation - english
 
RefWorks Rss feeds
RefWorks Rss feedsRefWorks Rss feeds
RefWorks Rss feeds
 
Access database
Access databaseAccess database
Access database
 
APR (Academic and Professional Record) publication data entry
APR (Academic and Professional Record) publication data entryAPR (Academic and Professional Record) publication data entry
APR (Academic and Professional Record) publication data entry
 
Chem 4235 sept2016 jh
Chem 4235 sept2016 jhChem 4235 sept2016 jh
Chem 4235 sept2016 jh
 

Destaque

Eugene SRTS Program
Eugene SRTS ProgramEugene SRTS Program
Eugene SRTS ProgramEugene SRTS
 
Public Transportation
Public TransportationPublic Transportation
Public Transportationdpapageorge
 
DataKraft - Powerful No-Coding Platform for Business Applications
DataKraft - Powerful No-Coding Platform for Business ApplicationsDataKraft - Powerful No-Coding Platform for Business Applications
DataKraft - Powerful No-Coding Platform for Business ApplicationsTibbs Pereira
 
Huidige status van de testtaal TTCN-3
Huidige status van de testtaal TTCN-3Huidige status van de testtaal TTCN-3
Huidige status van de testtaal TTCN-3Erik Altena
 
Vision To Profit V2 Sept 2009
Vision To Profit V2 Sept 2009Vision To Profit V2 Sept 2009
Vision To Profit V2 Sept 2009Tibbs Pereira
 
PresentacióN De Quimica
PresentacióN De QuimicaPresentacióN De Quimica
PresentacióN De Quimicaguestf6a53c
 
2008 IEDM presentation
2008 IEDM presentation2008 IEDM presentation
2008 IEDM presentationslrommel
 
Ireland Apo University Fy 10 Tibbs Slideshare
Ireland Apo University Fy 10 Tibbs SlideshareIreland Apo University Fy 10 Tibbs Slideshare
Ireland Apo University Fy 10 Tibbs SlideshareTibbs Pereira
 
Presentazione oroblu
Presentazione orobluPresentazione oroblu
Presentazione oroblurobyroby65
 
Survival Strategies For Testers
Survival Strategies For TestersSurvival Strategies For Testers
Survival Strategies For TestersErik Altena
 
Data-Applied: Technology Insights
Data-Applied: Technology InsightsData-Applied: Technology Insights
Data-Applied: Technology InsightsDataminingTools Inc
 
Pentaho: Reporting Solution Development
Pentaho: Reporting Solution DevelopmentPentaho: Reporting Solution Development
Pentaho: Reporting Solution DevelopmentDataminingTools Inc
 

Destaque (20)

Eugene SRTS Program
Eugene SRTS ProgramEugene SRTS Program
Eugene SRTS Program
 
Public Transportation
Public TransportationPublic Transportation
Public Transportation
 
Matlab: Discrete Linear Systems
Matlab: Discrete Linear SystemsMatlab: Discrete Linear Systems
Matlab: Discrete Linear Systems
 
DataKraft - Powerful No-Coding Platform for Business Applications
DataKraft - Powerful No-Coding Platform for Business ApplicationsDataKraft - Powerful No-Coding Platform for Business Applications
DataKraft - Powerful No-Coding Platform for Business Applications
 
How To Make Pb J
How To Make Pb JHow To Make Pb J
How To Make Pb J
 
Huidige status van de testtaal TTCN-3
Huidige status van de testtaal TTCN-3Huidige status van de testtaal TTCN-3
Huidige status van de testtaal TTCN-3
 
XL-MINER:Prediction
XL-MINER:PredictionXL-MINER:Prediction
XL-MINER:Prediction
 
Vision To Profit V2 Sept 2009
Vision To Profit V2 Sept 2009Vision To Profit V2 Sept 2009
Vision To Profit V2 Sept 2009
 
PresentacióN De Quimica
PresentacióN De QuimicaPresentacióN De Quimica
PresentacióN De Quimica
 
Graph Plots in Matlab
Graph Plots in MatlabGraph Plots in Matlab
Graph Plots in Matlab
 
Introduction To R
Introduction To RIntroduction To R
Introduction To R
 
Data Mining The Sky
Data Mining The SkyData Mining The Sky
Data Mining The Sky
 
2008 IEDM presentation
2008 IEDM presentation2008 IEDM presentation
2008 IEDM presentation
 
Knowledge Discovery
Knowledge DiscoveryKnowledge Discovery
Knowledge Discovery
 
Ireland Apo University Fy 10 Tibbs Slideshare
Ireland Apo University Fy 10 Tibbs SlideshareIreland Apo University Fy 10 Tibbs Slideshare
Ireland Apo University Fy 10 Tibbs Slideshare
 
Presentazione oroblu
Presentazione orobluPresentazione oroblu
Presentazione oroblu
 
Survival Strategies For Testers
Survival Strategies For TestersSurvival Strategies For Testers
Survival Strategies For Testers
 
Data-Applied: Technology Insights
Data-Applied: Technology InsightsData-Applied: Technology Insights
Data-Applied: Technology Insights
 
InfoChimps.Org
InfoChimps.OrgInfoChimps.Org
InfoChimps.Org
 
Pentaho: Reporting Solution Development
Pentaho: Reporting Solution DevelopmentPentaho: Reporting Solution Development
Pentaho: Reporting Solution Development
 

Semelhante a SPSS: Quick Look

Spss intro for engineering
Spss intro for engineeringSpss intro for engineering
Spss intro for engineeringMahendra Poudel
 
Chapter -1.pptx0p0p0pppopooopopppp0ppoooooo
Chapter -1.pptx0p0p0pppopooopopppp0ppooooooChapter -1.pptx0p0p0pppopooopopppp0ppoooooo
Chapter -1.pptx0p0p0pppopooopopppp0ppoooooobizuayehuadmasu1
 
spss-anintroduction-150704135929-lva1-app6892.ppt
spss-anintroduction-150704135929-lva1-app6892.pptspss-anintroduction-150704135929-lva1-app6892.ppt
spss-anintroduction-150704135929-lva1-app6892.pptFlorArquillano3
 
Spss lecture notes
Spss lecture notesSpss lecture notes
Spss lecture notesDavid mbwiga
 
Spss tutorial 1
Spss tutorial 1Spss tutorial 1
Spss tutorial 1debataraja
 
Spss data capturing training
Spss data capturing trainingSpss data capturing training
Spss data capturing trainingMarotaAphane
 
Software packages for statistical analysis - SPSS
Software packages for statistical analysis - SPSSSoftware packages for statistical analysis - SPSS
Software packages for statistical analysis - SPSSANAND BALAJI
 
Statistical Package for Social Science (SPSS)
Statistical Package for Social Science (SPSS)Statistical Package for Social Science (SPSS)
Statistical Package for Social Science (SPSS)sspink
 
BRM_Data Analysis, Interpretation and Reporting Part I.ppt
BRM_Data Analysis, Interpretation and Reporting Part I.pptBRM_Data Analysis, Interpretation and Reporting Part I.ppt
BRM_Data Analysis, Interpretation and Reporting Part I.pptAbdifatahAhmedHurre
 
Day1, session ii&iii- spss
Day1, session ii&iii- spssDay1, session ii&iii- spss
Day1, session ii&iii- spssabir hossain
 
SPSS an intro...
SPSS an intro...SPSS an intro...
SPSS an intro...Jithin Zcs
 
Data processing & Analysis: SPSS an overview
Data processing & Analysis: SPSS an overviewData processing & Analysis: SPSS an overview
Data processing & Analysis: SPSS an overviewATHUL RAVI
 
Introduction to Statistical package of social sciences
Introduction to Statistical package of social sciencesIntroduction to Statistical package of social sciences
Introduction to Statistical package of social sciencesprachisachdev4
 

Semelhante a SPSS: Quick Look (20)

Introduction To SPSS
Introduction To SPSSIntroduction To SPSS
Introduction To SPSS
 
Spss intro for engineering
Spss intro for engineeringSpss intro for engineering
Spss intro for engineering
 
Chapter -1.pptx
Chapter -1.pptxChapter -1.pptx
Chapter -1.pptx
 
Chapter -1.pptx0p0p0pppopooopopppp0ppoooooo
Chapter -1.pptx0p0p0pppopooopopppp0ppooooooChapter -1.pptx0p0p0pppopooopopppp0ppoooooo
Chapter -1.pptx0p0p0pppopooopopppp0ppoooooo
 
spss-anintroduction-150704135929-lva1-app6892.ppt
spss-anintroduction-150704135929-lva1-app6892.pptspss-anintroduction-150704135929-lva1-app6892.ppt
spss-anintroduction-150704135929-lva1-app6892.ppt
 
Spss lecture notes
Spss lecture notesSpss lecture notes
Spss lecture notes
 
spss intro.ppt
spss intro.pptspss intro.ppt
spss intro.ppt
 
Spss tutorial 1
Spss tutorial 1Spss tutorial 1
Spss tutorial 1
 
Spss tutorial 1
Spss tutorial 1Spss tutorial 1
Spss tutorial 1
 
Spss basics tutorial
Spss basics tutorialSpss basics tutorial
Spss basics tutorial
 
Spss data capturing training
Spss data capturing trainingSpss data capturing training
Spss data capturing training
 
Software packages for statistical analysis - SPSS
Software packages for statistical analysis - SPSSSoftware packages for statistical analysis - SPSS
Software packages for statistical analysis - SPSS
 
Statistical Package for Social Science (SPSS)
Statistical Package for Social Science (SPSS)Statistical Package for Social Science (SPSS)
Statistical Package for Social Science (SPSS)
 
BRM_Data Analysis, Interpretation and Reporting Part I.ppt
BRM_Data Analysis, Interpretation and Reporting Part I.pptBRM_Data Analysis, Interpretation and Reporting Part I.ppt
BRM_Data Analysis, Interpretation and Reporting Part I.ppt
 
Spss (1)
Spss (1)Spss (1)
Spss (1)
 
Day1, session ii&iii- spss
Day1, session ii&iii- spssDay1, session ii&iii- spss
Day1, session ii&iii- spss
 
SPSS
SPSSSPSS
SPSS
 
SPSS an intro...
SPSS an intro...SPSS an intro...
SPSS an intro...
 
Data processing & Analysis: SPSS an overview
Data processing & Analysis: SPSS an overviewData processing & Analysis: SPSS an overview
Data processing & Analysis: SPSS an overview
 
Introduction to Statistical package of social sciences
Introduction to Statistical package of social sciencesIntroduction to Statistical package of social sciences
Introduction to Statistical package of social sciences
 

Mais de DataminingTools Inc

AI: Introduction to artificial intelligence
AI: Introduction to artificial intelligenceAI: Introduction to artificial intelligence
AI: Introduction to artificial intelligenceDataminingTools Inc
 
Data Mining: Text and web mining
Data Mining: Text and web miningData Mining: Text and web mining
Data Mining: Text and web miningDataminingTools Inc
 
Data Mining: Mining stream time series and sequence data
Data Mining: Mining stream time series and sequence dataData Mining: Mining stream time series and sequence data
Data Mining: Mining stream time series and sequence dataDataminingTools Inc
 
Data Mining: Mining ,associations, and correlations
Data Mining: Mining ,associations, and correlationsData Mining: Mining ,associations, and correlations
Data Mining: Mining ,associations, and correlationsDataminingTools Inc
 
Data Mining: Graph mining and social network analysis
Data Mining: Graph mining and social network analysisData Mining: Graph mining and social network analysis
Data Mining: Graph mining and social network analysisDataminingTools Inc
 
Data warehouse and olap technology
Data warehouse and olap technologyData warehouse and olap technology
Data warehouse and olap technologyDataminingTools Inc
 

Mais de DataminingTools Inc (20)

Terminology Machine Learning
Terminology Machine LearningTerminology Machine Learning
Terminology Machine Learning
 
Techniques Machine Learning
Techniques Machine LearningTechniques Machine Learning
Techniques Machine Learning
 
Machine learning Introduction
Machine learning IntroductionMachine learning Introduction
Machine learning Introduction
 
Areas of machine leanring
Areas of machine leanringAreas of machine leanring
Areas of machine leanring
 
AI: Planning and AI
AI: Planning and AIAI: Planning and AI
AI: Planning and AI
 
AI: Logic in AI 2
AI: Logic in AI 2AI: Logic in AI 2
AI: Logic in AI 2
 
AI: Logic in AI
AI: Logic in AIAI: Logic in AI
AI: Logic in AI
 
AI: Learning in AI 2
AI: Learning in AI 2AI: Learning in AI 2
AI: Learning in AI 2
 
AI: Learning in AI
AI: Learning in AI AI: Learning in AI
AI: Learning in AI
 
AI: Introduction to artificial intelligence
AI: Introduction to artificial intelligenceAI: Introduction to artificial intelligence
AI: Introduction to artificial intelligence
 
AI: Belief Networks
AI: Belief NetworksAI: Belief Networks
AI: Belief Networks
 
AI: AI & Searching
AI: AI & SearchingAI: AI & Searching
AI: AI & Searching
 
AI: AI & Problem Solving
AI: AI & Problem SolvingAI: AI & Problem Solving
AI: AI & Problem Solving
 
Data Mining: Text and web mining
Data Mining: Text and web miningData Mining: Text and web mining
Data Mining: Text and web mining
 
Data Mining: Outlier analysis
Data Mining: Outlier analysisData Mining: Outlier analysis
Data Mining: Outlier analysis
 
Data Mining: Mining stream time series and sequence data
Data Mining: Mining stream time series and sequence dataData Mining: Mining stream time series and sequence data
Data Mining: Mining stream time series and sequence data
 
Data Mining: Mining ,associations, and correlations
Data Mining: Mining ,associations, and correlationsData Mining: Mining ,associations, and correlations
Data Mining: Mining ,associations, and correlations
 
Data Mining: Graph mining and social network analysis
Data Mining: Graph mining and social network analysisData Mining: Graph mining and social network analysis
Data Mining: Graph mining and social network analysis
 
Data warehouse and olap technology
Data warehouse and olap technologyData warehouse and olap technology
Data warehouse and olap technology
 
Data Mining: Data processing
Data Mining: Data processingData Mining: Data processing
Data Mining: Data processing
 

Último

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKJago de Vreede
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 

Último (20)

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 

SPSS: Quick Look

  • 2.                       Introduction: What is SPSS? Originally it is an acronym of Statistical Package for the Social Science but now it stands for Statistical Product and Service Solutions One of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions IBM SPSS Statistics 18 (formerly SPSS Statistics) puts the power of advanced statistical analysis in your hands.
  • 4. 4 Data Import Functions Primary Functions of the Data Import: Create SPSS data files from external files Modify, manipulate or enhance existing SPSS data files Successful Transfer data to accepted format for processing
  • 6. The Four Windows: Data Editor Data Editor: Spreadsheet-like system for defining, entering, editing, and displaying data. Extension of the saved file will be “sav.”
  • 7. The Four Windows: Output Viewer Output Viewer: Displays output and errors. Extension of the saved file will be “spv.”
  • 8. The Four Windows: Syntax editor Syntax Editor: Text editor for syntax composition. Extension of the saved file will be “sps.”
  • 9. The Four Windows: Script Window Script Window: Provides the opportunity to write full-blown programs, in a BASIC-like language. Text editor for syntax composition. Extension of the saved file will be “sbs.”
  • 10. Launching SPSS The default window will have the data editor There are two sheets in the window: 1. Data view 2. Variable view
  • 11. Click Data View window The Data View window This sheet is visible when you first open the Data Editor and this sheet contains the data Click on the tab labeled Variable View
  • 13. Click Saving the data To save the data file you created simply click ‘file’ and click ‘save as.’ You can save the file in different forms by clicking “Save as type.”
  • 14. Sorting the data Click ‘Data’ and then click Sort Cases
  • 15. Transforming data Click ‘Transform’ and then click ‘Compute Variable…’
  • 16. Click Transforming data Example: Adding a new variable named ‘numbers’ which is the natural log of height Type in numbers in the ‘Target Variable’ box. Then type in ‘numbers’ in the ‘Numeric Expression’ box. Click OK
  • 17. Frequencies This analysis produces frequency tables showing frequency counts and percentages of the values of individual variables. Descriptive This analysis shows the maximum, minimum, mean, and standard deviation of the variables Linear regression analysis Linear Regression estimates the coefficients of the linear equation BasicAnalysis
  • 18. Visit more self help tutorials Pick a tutorial of your choice and browse through it at your own pace. The tutorials section is free, self-guiding and will not involve any additional support. Visit us at www.dataminingtools.net