Descriptive Statistics in Python
Descriptive Statistics in Python
How to Perform Multidimensional Scaling in Python
In statistics, multidimensional scaling is a way to visualize the similarity of observations in a dataset in an abstract cartesian space (usually a 2-D...
Descriptive Statistics in Python
K-Means Clustering in Python: Step-by-Step Example
One of the most common clustering algorithms in machine learning is known as k-means clustering.
K-means clustering is a technique in which we place each...
Descriptive Statistics in Python
How to Calculate Gini Coefficient in Python (With Example)
Named after Italian statistician Corrado Gini, the Gini coefficient is a way to measure the income distribution of a population.
The value for the Gini...
Descriptive Statistics in Python
How to Calculate Cohen’s Kappa in Python
In statistics, Cohen’s Kappa is used to measure the level of agreement between two raters or judges who each classify items into mutually exclusive...
Descriptive Statistics in Python
How to Perform Exploratory Data Analysis in Python
One of the first steps of any data analysis project is exploratory data analysis.
This involves exploring a dataset in three ways:
1. Summarizing a dataset...
Descriptive Statistics in Python
How to Perform a Correlation Test in Python (With Example)
One way to quantify the relationship between two variables is to use the Pearson correlation coefficient, which measures the linear association between two variables.
It...
Descriptive Statistics in Python
How to Calculate Canberra Distance in Python (With Example)
The Canberra distance between two vectors, A and B, is calculated as:
Canberra distance = Σ |Ai-Bi| / (|Ai| + |Bi|)
where:
Ai: The ith value in...
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