Thin Data
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals.
A type of data visualization that uses dots to represent values for two different numeric variables, plotted along two axes.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
The error of making decisions based solely on quantitative observations and ignoring all other factors.
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution.