Flashcards : Fundamentals of Data Analysis Techniques — 24 cartes

Techniques to discover and simplify data structure.

Describe data vs interpret for populations.

Uncover relationships in multiple variables.

Summarize data vs reveal variable relationships.

Collected firsthand vs pre-existing.

Single variable characterization.

Integer counts like number of children.

Any value within a range, e.g., height.

Categorical data like color or profession.

Study relationship between two variables.

Linear relationship strength vs linked variation.

Using correlation or covariance.

Discover structure, simplify, visualize.

PCA, AFC, clustering, regression.

Summarize and synthesize data.

Identify and analyze relationships.

Primary, secondary, time series, cross-sectional, panel.

Means, medians, histograms, boxplots.

Bar diagrams, cumulative diagrams.

Histograms, cumulative curves.

Distribution of categories, association tests.

Joint distribution, dependence, correlation.

Strength and direction of linear relation.

Variables vary together; one influences other.