THE PREMIER EVENT FOR CTE PROFESSIONALSDATA ANALYSIS REPORTon VISION 2021 in New Orleans, LAReport Date 1/18/2022
DATA ANALYSIS REPORTReport Date 1/18/2022Total Attendees by Registration ClassTotal AttendeesFirst Time 1310 64%Total Attendees byMember2035 51%Membertype1962Total Attendees by49%Total Attendees by3997Membertype eniors100%First Time l Attendees by Registration endees by Registration StudentsCompsSeniorsStudents34%Seniors34%Member Attendees by RegionTotal Attendees by RegionREGION I26913%REGION II31616%REGION III32116%REGION IV30515%REGION V82340%International/Other10%MemberAttendees by Region2035 100%0%MemberAttendeesby Region13%REGION I57714%REGION II69617%REGION III57114%REGION IV62016%REGION V1531 38%International/Other20%Total 3997Attendees by Region 100%0%14% by RegionTotal Attendees0%0%13%14%REGION IREGION I38%REGIONREGIONIIIIREGION IREGION I40%40%16%16%REGION IIIREGION IIIREGION IVREGION IVREGIONVREGIONREGION IVREGION herInternational/OtherREGION V14%IIREGION III17%17%REGION III16%REGIONIIREGIONPAGE 115%REGION VInternational/Other16%
DATA ANALYSIS REPORTReport Date 1/18/2022Total Attendees by DivisionTotal Attendees by DivisionAdministrationTotal Attendees by DivisionAgricultural EducationAdministration16%Administration 636Agricultural Education310NRS 211Family and Consumer Sciences Education188Business Education 146Counseling and Career Development142Trade and Industrial Education133Postsecondary, Adult and Career Education89Engineering and Technology Education 50%87Health Science Education74Data not 2%50%Agricultural Education16%50%Family and Consumer Sciences EducationNRS8%Business Educati onCounseling and Career DevelopmentFamily and Consumer Sciences EducationTrade and Industrial Educati onBusinessEducati onAdult and Career EducationPostsecondary,5%8%Health Science EducationTrade and Industrial Educati onData not collected/NonMembers5%Postsecondary, Adult and Career Education4%5%Engineering and Technology Education4%Health Science Education3%2%2%2%Data not collected/NonMembers5%100%Engineeringand TechnologyEducationCounselingand CareerDevelopment4%Total AttendeesTotalbyAttendeesField ofbySpecializationField of SpecializationTotal Attendees by Field of Specialization4%Administration 1192Agricultural Education735Trade and Industrial Education363Counseling and Career Development3185%Family and Consumer Sciences Education262Postsecondary, Adult and Career Education6%248Business Education 226Engineering and Technology Education - STEM205Health Science Education1286%New and Related Services100Engineering and Technology Education - Arts54Business Education-Marketing427%Data not collected %3%3%1%3%Agricultural Education2%Trade andEducationIndustrial Educati onAgricultural30%5%Counseling and Career DevelopmentTradeFamilyand IndustrialEducati onand Consumer Sciences Education30%Postsecondary, Adult and Career EducationCounselingand Career Development6%Business Educati onand TechnologyEducation- STEMFamilyEngineeringand ConsumerSciencesEducationHealth Science EducationPostsecondary,Adult and Career EducationNew and Related Services6%Engineering and Technology Education - ArtsBusinessEducati onBusiness Educati on-Market ingData not andcollectedEngineeringTechnology Education - STEM7%Health Science Education8%New and Related Services18%Engineering and Technology Education - Arts9%Business Educati on-Market ing100%8%Data not collected18%TOTAL NRS ATTENDEESMakers of Policy 1 16%16%Tech Prep 1Research 4Career Academy 5ROTC 5Public Information 6Support Staff 6Instructional Management & Materials8Teacher Educators 1015%15%Special Populations 10Integration of Academics and Careerand Technical Education13Work-Based Learning/Youth Apprenticeships15Other %10%10%13%15%16%9%1%1%1%1%4%4%16%1%5%5%1%4%Chart TitleChart E 2Chart TitleTOTAL NRS ATTENDEESTOTALNRSATTENDEESTOTAL NRSATTENDEESMakersof PolicyMakers of PolicyMakers of PolicyTech PrepTechPrepTechPrepResearchResearchCareer AcademyResearchCareerAcademyROTCCareer AcademyPublic InformationROTCROTCSupport StaffPublic InformationInstructionalManagement &PublicInformationMaterialsSupportStaffTeacher EducatorsSupport StaffSpecial Popul ationsInstructional Management & MaterialsInstructionalManagement& MaterialsIntegration of AcademicsandCareer and TechnicalEducationTeacherEducatorsWork-Based Learning/YouthTeacherEducatorsAp p renticeshipsSpecialPopul ationsOtherSpecial Popul ationsIntegration of Academics and Career andIntegrationof Academics and Career andTechnical h ApprenticeshipsWork-Based Learning/Youth Apprenticeships
DATA ANALYSIS REPORTReport Date 1/18/2022Total Virtual vs In-Person Attendees by Registration ClasTotal Virtual vs In-Person Attendees by Registration ClassIn-Person VirtualMember 1177 38% 42246%Non-Member1019 33%35939%Speaker 1746% 819%NAAE 59819% 364%Complimentary 1073%243%Total Attendees Virtual vs In-PersonTotal Attendees Virtual vs In-Person1400120010003997TotalAttendees Virtual vs100%In-Person8006 PersonIn-Person77%TotalVirtual vs In-Person100% 922Attendees by RegistrationClass3075100%140012001000Member8006 peakerSpeakerIn-PersonNAAENAAEComplCompl imentaryVirtualVISION HYBRID 2021In-PersonVirtualRegistrant Classand weeks out21 and 17-20 31181174ACTE Member-Virtual2430ACTE Member-On-Site175248ACTE Student-VirtualACTE Student-On-siteComplimentary714NAAE- Virtual33NAAE- eting Totals1,559 1,858 2,083 2,226 2,561 3,249 3,343 3,775 3,997362518Exhibitor InformationComplimentary Booth Personnel Full Registration218Complimentary Booth Personnel Expo ONLY 222Exhibitor Guest Expo Only 119PAGE 3Total559Meeting Total with Exhibit Data4,556
DATA ANALYSIS REPORTReport Date 1/18/2022Attendees by Position Type5%Attendees by Position Type5%Teacher 13747%Administrator/Supervisor1283Other 422Teacher Educator294Business/Industry Rep19711%Counselor 185Student 68Teacher Supervisor50Data not collected12434%32%11%7%5%5%2%1%3%100%39972%1% 3%Attendees by Position Type5%2%Teacher1% her EducatorBusiness/Industry RepCounselor11%StudentCounselorStudentTeacher SupervisorTeacher SupervisorData not collectedData not collected32%Attendees by Institution TypeAttendees by Institution TypeAttendees by Institution Type3997Administrator/SupervisorTeacher EducatorBusiness/IndustryRep32%Comprehensive High School1537Local School System442Secondary Career/Technical School377CTE Center 370Two Year Post Secondary213Four Year College or University205Other 187Federal, State or Local Education Agency 170Junior High/Middle School138Business Corporation 137Retired/No School 89Correctional Institution 8Data not collected124Teacher3%2% 0%2% 0%Comprehensive High SchoolComprehensive High School3%3%Local School SystemLocal School SystemAttendees3% by Institution Type3%3%38%4%3%11% 4%3%9% 5%4%9% 5%5%5%5% 5%5%5%5%4% 5%5%3%5%3%2%9%9%0%9%3%9%9%100%2% 0%Comprehensive High School3%38%38%38%Secondary Career/Technical SchoolSecondary Career/Technical SchoolLocal School SystemCTE CenterCTESecondaryCenter Career/Technical SchoolTwoCTEYearPost SecondaryCenterTwo YearPost SecondaryTwoYearPost SecondaryFourYearCollegeor Uni versityFour Year College or Uni versityFour Year College or Uni versityOtherOtherOtherFederal, State or Local EducationFederal, State or Local Education AgencyFederal,Agency State or Local choolSchoolJunior High/Middle ationBusiness CorporationRetired/No SchoolRetired/No SchoolRetired/NoSchoolCorrectionalInstituti onCorrectional Instituti onData not collectedCorrectionalInstituti onData not collectedData not collectedPAGE 4
DATA ANALYSIS REPORTReport Date 1/18/2022RegistrationRegistration MethodsMethods4%4%0%0%Registration MethodsAttendees Registered via WebAttendees Registered via MailAttendees Registered Onsite38371421896%4%0%3997100%Attendees RegisteredAttendees Registeredvia Webvia WebAttendees RegisteredAttendees Registeredvia Mai lvia Mai lAttendees RegisteredAttendees RegisteredOnsiteOnsite96%96%Registration Payment Type3%4%Registration3%4%26%Registration Payment TypeCredit Card26%Credit Card2672Checks 1021Comps 131Po’s/Outstanding17367%26%3%4%100%3997Payment TypeCredit standing67% 67%PAGE 5
DATA ANALYSIS REPORTReport Date 1/18/2022Total Attendees by StateMember Attendees by State .25%0.25%0.20%0.15%0.15%0.05%0.05%0.00%0.05%Grand Total3997100%Grand Total2035100%PAGE 6
Trade and Industrial Education 363 9% Counseling and Career Development 318 8% Family and Consumer Sciences Education 262 7% Postsecondary, Adult and Career Education 248 6% Business Education 2266% Engineering and Technology Education - STEM 205 5% Health Science Education Engineering and Technology Education - STEM128 3%
Title: ER/Studio Data Architect 8.5.3 Evaluation Guide, 2nd Edition Author: Embarcadero Technologies, Inc. Keywords: CA ERwin data model software Data Modeler data modeler tools data modelers data modeling data modeling software data modeling tool data modeling tools data modeling with erwin data modelings data modeller data modelling software data modelling tool data modelling
neric Data Modeling and Data Model Patterns in order to build data models for crime data which allows complete and consistent integration of crime data in Data Warehouses. Keywords-Relational Data Modeling; Data Warehouse; Generic Data Modeling; Police Data, Data Model Pattern existing data sets as well as new kinds of data I. INTRODUCTION The research about Business Intelligence and Data
User Guide 3 Introduction 21 Chapter 1: Report Studio 23 Planning Reports 23 Working in Report Studio 23 The User Interface 23 Basic Report Structure 25 Working with Objects 27 Set Options 28 Creating a Report 29 Specify the Package 29 Choose a Report Template 30 Add Data to a Report 31 Working with Dimensional Data 31 Save a Report 33 Run a Report 33 Print a Report 37 .
The following sections summarize MATLAB data-analysis capabilities, and provide information about preparing your data for analysis. MATLAB for Data Analysis (p. 1-3) Provides an overview of data analysis using MATLAB Importing and Exporting Data (p. 1-7) Explainswheretogetinformation about importing and exporting data
Both are crucial to the data analysis process because if ignored, you will almost always produce misleading research finding. After clean the data we can go for analyze the data . Nowadays there are several tools for data analysis. The last part of the process of data analysis is to interpret results and apply them. 4. Methods of Data Analysis
User Guide 3 View a Report in Excel 2000 Format Introduction 7 Chapter 1: Using Query Studio 9 Open the Web Portal 10 Creating a Report 10 Create a Report 11 Open an Existing Report 11 Reports and Package Versions 11 Add Data to a Report 12 Save a Report 13 Save a Report Using a Different Name or Location 14 Run a Report 14 View a Report in PDF Format 16 View a Report in CSV Format 16
Data quality attributes 6. Data Stewardship (accepting responsibility for the data)for the data) 7. Metadata Management (managing the data about the data)about the data) 8. Data Usage (putting the data to work) 9. Data Currency (getting the data at the right time) 10. Education (teaching everyone about their role in data quality) 24
Module 7: Fundamental Analysis (NCFM Certification) 1. Introduction of Fundamental Analysis What is Fundamental & Technical Analysis? Difference between technical & fundamental analysis Features & benefits of Fundamental analysis 2. Top-Down Approach in Fundamental Analysis Economic Analysis Industry Analysis Company analysis 3.
Qualitative analysis, quantitative analysis, non-financial indicator analysis, financial indicator analysis, internal performance analysis, external performance analysis, project-orientated analysis, organization-orientated analysis 8  Area-based Knowledge measurement in products and processes,
Oasys GSA Contents Notation 8 Degrees of freedom 10 Active degrees of freedom 10 Degrees of Freedom with no Local Stiffness 11 Analysis Options 13 Static Analysis 13 Static P-delta Analysis 13 Modal Analysis 14 Modal P-delta Analysis 14 Ritz Analysis 15 Modal Buckling Analysis 16 Model Stability Analysis 17 Non-linear Static Analysis 18
Qualitative Analysis of Anions 1 Experiment 10 Qualitative Analysis of Anions Pre-Lab Assignment Before coming to lab: Read the lab thoroughly. Answer the pre-lab questions that appear at the end of this lab exercise. The questions should be answered on a separate (new) page of File Size: 343KBPage Count: 16Explore further(PDF) Experiment Report: Analysis of Anions and Cations .www.academia.eduExperiment 7 Qualitative Analysis: Anionswww.csus.eduLab Experiment #8: Qualitative Analysis of Common Anions .www.youtube.comQualitative Analysis of Anions - Odinitywww.odinity.comLab 13 Qualitative Analysis of Cations and Anionsdoctortang.comRecommended to you b
Call History Report Campaign Disposition Summary Report Campaign Statistics Report Campaign Success Results Report . by Campaign Report Best Time to Call Analysis Report Call Answer Distribution Report Interaction Optimizer Reports Schedule Adherence and Conformance Detail Report Schedule Adherence and Conformance Summary Report Actual vs .
To create, view, or change sales analysis reports, enter “sales analysis reports” in the Search box, and then select the related link. This opens the Analysis Report Sale page. This page includes a list of sales analysis reports, the analysis line template and the analysis column template attached to each report
Mark Scheme 128 Unit 2 Paper 02 129 Mark Scheme 144 CAPE Food and Nutrition Subject Reports 2004 Subject Report 2005 Subject Report 2006 Subject Report 2007 Subject Report 2008 Subject Report (Trinidad and Tobago) 2008 Subject Report (Rest of the Caribbean) 2009 Subject Report 2010 Subject Report 2011 Subject Report 2012 Subject Report 2013 .
Data analysis acts as the “construction phase” of your performance measurement. The process of data analysis includes deciding on the appropriate analysis to conduct for each question, preparing data for analysis, and summarizing results. For outcome data, the result of analysis should enable you to answer the question “What changed because of your national services?” This packet will .
analysis so that the benefits of these data can be maximized. Since the 80’s, expert systems were proposed as a promising tool for analysis of power system data. Various expert system based applications such as DFR data analysis, alarm processing, and circuit breaker monitor data analysis
Tukey-sian Data Analysis Data analysis must seek for scope and usefulness rather than security Data analysis must be willing to err moderately often in order that inadequate evidence shall more often suggest the right answer Data analysis must use mathematical argument and
UNIT II - RATE ANALYSIS AND COSTING Standard Data - Rate Analysis- Schedule of rates - Study and analysis of rate escalation- Costing - Cost Control - Construction, Machineries - Tools and techniques. DATA The process of working out the cost or rate per unit of each item is called as Data. In preparation of Data, the rates of materials and labor are obtained from current standard .
Generate Report Object Library. 2. Create report in Actuate. 3. Compile report. 4. Stop report server. 5. Deploy report executable. 6. Associate report with View and Deploy SRF. Actuate (Developer) 1. Generate sample XML data. 2. Create report layout Compile Report. Stop report server. 3. Upload template. 4. Associate with a View. BI Publisher .
Artificial Intelligence (AI) is an important and well established area of modern computer science that can often provide a means of tackling computationally large or complex problems in a realistic time-frame. Digital forensics is an area that is becoming increasingly important in computing and often requires the intelligent analysis of large amounts of complex data. It would therefore seem .