How deeply does D3.js in Action, Third Edition cover data collection?

Explains source discovery and preparation rationale, but stops short of detailed cleaning and formatting procedures.

Data collection

As explained in D3.js in Action, Third Edition

Data gathering is the process of collecting information from one or more sources for analysis or visualization.

Data collection gathers information from multiple sources before analysis or visualization. Start by defining what you want to visualize, then locate, inspect, clean, and format appropriate data. section 14.1

A practical collection workflow includes:

Define the information and time relationships needed for the visualization. section 14.1
Search for complementary sources, compare their coverage, and prepare the data for analysis. section 14.1
Expect gathering and manipulation to require patience, diligence, and substantial time. section 14.1

Van Gogh’s artistic production

A visualization project combines paintings, drawings, and letters, using lists of works, a letters website, and biographical information to place the material in time and relate it to periods of Van Gogh’s life. section 14.1

How D3.js in Action, Third Edition covers it

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Effective Data AnalysisData collection is the systematic process of gathering, capturing, and recording observations, measurements, or other information for storage or analysis.
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Deep Learning with R, Third EditionDataset collection is the process of obtaining data instances for use in analysis or machine learning.
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Deep Learning with Python, Third EditionThe process of gathering data examples for a machine learning project before model development.
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Grokking StatisticsData collection is the systematic process of obtaining observations, measurements, or records for a defined purpose.
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Reinforcement Learning from Human FeedbackData acquisition is the process of obtaining data from external providers or internal collection operations for a defined purpose.
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Machine Learning Platform EngineeringData collection is the process of acquiring data relevant to a defined modeling problem and its target domain.
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Demand Forecasting Best PracticesData collection is the systematic gathering of observations or records for analysis or modeling.

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Related concepts

targeted advertisinguses · Targeted advertising is the delivery of promotional messages to selected audiences based on information about their characteristics, interests, or behavior.
penetration testingpart of · Penetration testing is an authorized security assessment that simulates attacks against systems to identify and attempt to exploit security weaknesses.
data sourceuses · A data source is an origin, system, repository, or process from which data is obtained for use or processing.
preprocessingpart of · Preprocessing is the preparation or transformation of data, content, or other inputs into a form suitable for a subsequent computational operation.
social mediaused by · Social media is a class of online services that enables users to create, share, discover, and interact with content and with one another.

This explainer was generated by Manning's knowledge graph from the text of D3.js in Action, Third Edition. The section links point to the parts of the book it draws on.