How deeply does Effective Data Analysis cover prototyping?

Defines preliminary versions, iteration, and feedback, but does not detail a complete prototyping process or evaluation framework.

Prototyping

As explained in Effective Data Analysis

Rapid prototyping is an approach that creates and iteratively refines preliminary versions of a product or deliverable.

Rapid prototyping creates quick preliminary versions of a product or deliverable, then iteratively refines them. In analytics, data-powered apps support this process by enabling early stakeholder feedback before substantial development effort is committed. section 12.2.1

A practical prototyping workflow can:

Create an interactive preliminary deliverable when complex user input or custom code exceeds a visualization tool’s capabilities. section 12.2.1
Collect stakeholder feedback during development to clarify the final product’s required form. section 12.2.1
Use R Shiny or Streamlit to build interactive prototypes, reports, and dashboards from analysis code. section 12.2.1

Interactive prediction app

An interactive Streamlit app predicting rat sightings illustrates how a data-powered application can serve as a concrete prototype for a custom analytical deliverable. section 12.2.1

How Effective Data Analysis covers it

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Also explained in

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Designing Deep Learning Systems: A guide for software engineersPrototyping is an experimental phase for evaluating candidate algorithms and building proof-of-concept models against a business requirement.
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Effective Platform EngineeringA prototype is an early interactive or visual representation of a product feature used to explore and evaluate a design.
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Design for DevelopersA prototype is a preliminary version of a product or feature created for evaluation before implementation.
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Everyday Data VisualizationA prototype is an early-stage version of a design created to test concepts or demonstrate potential options rather than serve in production.
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The Art of AI Product DevelopmentA prototype is an early or simplified version of a product or feature that demonstrates its behavior for learning and evaluation.
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Lead Developer Career GuideThe practice of creating an early, simplified model of a product or feature to evaluate feasibility and gather feedback.
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Delivering Machine Learning Projects: From design to deploymentA prototype is a preliminary implementation created to demonstrate and evaluate a proposed system or interaction.

Compare how 8 books explain prototyping →

Related concepts

requirementsproduces · A requirement is a stated need, capability, quality, condition, or constraint that a system, product, solution, or project is expected to satisfy.
Streamlitused by · Streamlit is an open-source Python framework for building interactive web applications, particularly for data and machine-learning applications.
agile architectureused by · Agile architecture is an iterative approach to architectural design that incorporates collaboration, experimentation, feedback, and emergent decisions.

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.