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Dependency

As explained in Statistics Every Programmer Needs

A project dependency is a relationship between activities in which one activity cannot begin until one or more preceding activities are completed.

A project dependency is a relationship in which an activity cannot begin until one or more preceding activities are complete. Recording dependencies creates a logical task sequence, prevents scheduling conflicts, and supports accurate project planning. section 13.1

Use dependencies to build and analyze a project schedule:

  • Decompose the project into activities and record each activity’s preceding tasks in a work breakdown structure. section 13.1
  • Calculate earliest and latest start and finish times with forward and backward passes through the dependency network. section 13.3 section 13.3.1
  • Use slack to distinguish schedule-flexible activities from dependencies on the critical path, where delays extend the project. section 13.3
  • Validate activity codes, durations, and dependency sequences before automating calculations. section 13.3.4

Automated reporting tool

A reporting-tool plan begins with defining objectives, followed by assembling the team and gathering requirements. Data collection depends on requirements; cleaning depends on collection; pipeline development depends on cleaning; testing depends on interface and report-generation work; deployment depends on testing. The computed schedule lasts 29 weeks, with zero slack marking the critical activities.

Table 13.1 WBS for completing the automated reporting tool project. It includes an outline of the key activities required, along with brief descriptions and their respective dependencies. Each activity is identified by a unique code and details the necessary steps and preceding tasks needed for successful project completion.
Activity
Description
Dependencies
A
Define Project Objectives and Scope
None
B
Assemble Project Team
A
C
Gather Requirements from Stakeholders
A, B
D
Data Collection and Integration
C
E
Data Cleaning and Preprocessing
D
F
Design Report Templates
C
G
Develop Data Processing Pipelines
E
H
Implement Report Gathering Logic
F
I
Develop User Interface for Report Access
F
J
Integrate Data Pipelines with Report Generation
G, H
K
Conduct User Testing and Feedback
I, J
L
Finalize and Deploy Automated Reporting Tool
K

Inspect the complete work breakdown structure, including activity identifiers, descriptions, and preceding dependencies for the reporting-tool project. section 13.1

How Statistics Every Programmer Needs covers it

How deep it goes
Defines precedence relationships, then applies forward and backward passes, slack calculations, and programmatic validation.
Examples
Uses an automated reporting-tool WBS, network diagram, schedule table, and Python CPM implementation.
What it assumes
Assumes identified activities, dependency sequences, and expected activity durations.
What you can do after
Apply it via pandas and NumPy to calculate schedules, slack, and critical activities.
How it connects
Connects work breakdown structures, critical path method, project planning, and constrained optimization.

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