10 Questions
What is the purpose of Descriptive Statistics?
To transform data to extract patterns
Which of the following is NOT a measure of Central Tendency?
Variance
What does the Median represent?
The value that splits the data in half
What is the purpose of Dimensionality Reduction in data analysis?
To reduce the number of attributes/features while preserving important information
What does skewness indicate about a dataset?
If a dataset is right-skewed, left-skewed, or normally distributed
How are outliers typically identified in a dataset?
Values above the 3rd quartile + 1.5 times the interquartile range
Which statistical concept helps us understand the linear relationship between attributes?
Correlation
What does Pearson's r value signify when it comes to correlation?
A value of 0 indicates no correlation between attributes
Which attribute is used to describe the central tendency of categories?
Mode
What is an effective way to measure the spread or dispersion of data?
A combination of variance, standard deviation, and ranges
Learn about k-means clustering, a centroid-based approach for clustering data. Explore the steps involved, from randomly creating centroids to reassigning data items until convergence. Discover how this method can provide valuable insights from your datasets.
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