Glossary

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Daily Data Analysis(also: DDA, Everyday Data Analysis)

The common, everyday tasks of analyzing and deriving insights from data that people perform in their daily lives or work, such as splitting expenses among friends, computing stock portfolio changes, calculating averages, and comparing product prices. For blind and low-vision…

Data Accessibility(also: Accessible Data, Data Access)

The practice of making data and data-related tools usable by people with disabilities, ensuring that information presented in tables, charts, graphs, spreadsheets, and databases can be perceived, understood, and analyzed regardless of ability. Data accessibility encompasses both…

Data Exploration(also: Exploratory Data Analysis, EDA)

The process of investigating and examining datasets to discover patterns, spot anomalies, test hypotheses, and check assumptions, typically as a preliminary step before formal analysis. For blind and low-vision users, data exploration is particularly challenging because sighted…

Data Literacy(also: Data Fluency)

The ability to read, understand, create, and communicate data as information. Data literacy encompasses skills such as knowing how to interpret charts and graphs, identify trends and outliers, understand statistical concepts, and make evidence-based decisions from data. As data…

Data Mining(also: Knowledge Discovery, KDD, Knowledge Discovery in Databases)

Data mining is the computational process of discovering patterns, rules, and relationships in large datasets, drawing on techniques from statistics, machine learning, and database systems. Common tasks include classification, clustering, association-rule mining, anomaly…

Decision Tree(also: Classification Tree, Regression Tree, C4.5)

A decision tree is a supervised machine-learning model that represents a classification or regression decision as a tree of yes/no tests on input features, with predictions at the leaves. Well-known algorithms include ID3, C4.5, CART, and Random Forests. Decision trees are…

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