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These flashcards cover important vocabulary and concepts related to data visualization techniques discussed in the lecture.
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Mean Value
The average of a set of numerical values, calculated by dividing the sum of those values by their quantity.
Median Value
The middle value in a list of numbers when the numbers are arranged in order.
Standard Deviation
A measure of the amount of variation or dispersion of a set of values.
Variance
The expectation of the squared deviation of a random variable from its mean, measuring how far a set of numbers are spread out.
Box Plot
A graphical representation of the five-number summary: minimum, first quartile, median, third quartile, and maximum.
Interquartile Range (IQR)
The difference between the third quartile (Q3) and the first quartile (Q1), representing the middle fifty percent of the data.
Outlier
A data point that differs significantly from other observations; often considered abnormal.
Histogram
A graphical representation of the distribution of numerical data, using bars to show frequency.
Quantile Plot
A graphical tool that displays the distribution of a dataset by plotting values against their percentile ranks.
Scatter Plot
A graph that displays values for two variables for a set of data, showing relationships and trends.
Parallel Coordinates
A way to visualize high-dimensional data, where each attribute is represented by a vertical axis and samples are depicted as lines connecting the values.
Quartiles
Values that divide a dataset into four equal parts, with Q1 being the first quartile (25th percentile) and Q3 being the third quartile (75th percentile).
3D Box Plot
An extension of the traditional box plot in three-dimensional space to show multiple variables.
MATLAB
A programming platform commonly used for numerical computing, data visualization, and algorithm development.
Feature Space
A multi-dimensional space where each dimension corresponds to one attribute and each point represents a sample or observation.