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CTAP RI M and E

Operation and Component M and E Analyzer Views

RI Totals

Introduction
This tool generates a variety of basic statistics for DevTreks standard monitoring and evaluation uris. The analyses include totals, statistics, incremental change, and progress.

Analysis View Description
v202a

Version: 1.7.0

Feedback About carbon/componentgroup/CTAP RI M and E/663/componentmetotal1

Step 1 of 3. Analyze


Step 2 of 3. Analyze

Relations

Use In Childs?
Overwrite Childs?
Compare Using:
Aggregate Using:
Display Full View:

Step 3 of 3. Save

Method 1. Do you wish to save step 2's calculations? These calculations are viewed by opening this particular calculator addin.

Instructions

Step 1

  • Step 1. The accompanying tutorial contains a reference that explains these analyzers.
  • Step 1. Base Calculations To Analyze: Make sure that the data being analyzed corresponds to outputs.
  • Step 1. Analysis Type:The Analysis Type that is saved should match the name of this analyzer.

Step 2 and 3

  • Step 2. What If Tag Name: Instructional videos explaining the use of what-if scenario calculations should be viewed before changing or using this parameter.
  • Step 2. Base Resource Calculations To Analyze: Make sure that the calculator chosen has been used with the data being analyzed.
  • Step 2. Compare Using: The Compare Only option uses a calculator's Alternative Type property to further "subdivide" the indicator data being analyzed to support the comparative analysis of alternatives.
  • Step 2. Aggregate Using: Types is the least detailed analysis. Groups is the next most detailed analysis. Labels can be the most detailed, but all of the data being analyzed must have been classified using labels and Work Breakdown Structures.
  • Step 3. Save Using: The Save command saves xml data the Save Text command saves csv data.

Reminder: Analyzers require running the underlying NPV calculator after inserting, deleting, or updating, this linked view (that keeps the NPV calculator's linked views synchronized with these linkedviews).


Current view of document
CTAP RI M and E
Component Group
CTAP RI M and E
Component
CTAP RI ACTQ2
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 20.000 most likely 10.000 low 30.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP Actual RI Q2
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 2.000 most likely 1.000 low 3.000 high
Description : This data is used in a CTAP tutorial.
Component
CTAP RI BMQ2
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 20.000 most likely 10.000 low 30.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP BM RI Q2
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 2.000 most likely 1.000 low 3.000 high
Description : This data is used in a CTAP tutorial.
Component
CTAP RI ACTQ6
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 0.000 most likely 0.000 low 0.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP Actual RI Q6
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 0.000 most likely 0.000 low 0.000 high
Description : This data is used in a CTAP tutorial.
Component
CTAP RI BMQ6
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 20.000 most likely 10.000 low 30.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP BM RI Q6
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 2.000 most likely 1.000 low 3.000 high
Description : This data is used in a CTAP tutorial.
Component
CTAP RI ACTQ4
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 20.000 most likely 10.000 low 30.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP Actual RI Q4
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 2.000 most likely 1.000 low 3.000 high
Description : This data is used in a CTAP tutorial.
Component
CTAP RI BMQ4
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 20.000 most likely 10.000 low 30.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP BM RI Q4
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 2.000 most likely 1.000 low 3.000 high
Description : This data is used in a CTAP tutorial.
Component
CTAP RI ACTQ8
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 0.000 most likely 0.000 low 0.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP Actual RI Q8
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 0.000 most likely 0.000 low 0.000 high
Description : This data is used in a CTAP tutorial.
Component
CTAP RI BMQ8
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Awareness Training OC1 20.000 most likely 10.000 low 30.000 high
Description : his data is used in a CTAP tutorial.
Input: CTAP BM RI Q8
Name Label Total Unit Q1 Total Q1 Unit Q2 Total Q2 Unit
Risk Knowledge I1_QTM 2.000 most likely 1.000 low 3.000 high
Description : This data is used in a CTAP tutorial.
Dataset: CTAP RI M and E IRI This data is used in a CTAP tutorial.

Search IRIs:
https://www.devtreks.org/greentreks/linkedviews/carbon/componentgroup/CTAP RI M and E/663/componentmetotal1









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