Descriptive Statistics in Python
Descriptive Statistics in Python
How to Create a Contingency Table in Python
A contingency table is a type of table that summarizes the relationship between two categorical variables.
To create a contingency table in Python, we can use the...
Descriptive Statistics in Python
How to Calculate the Coefficient of Variation in Python
A coefficient of variation, often abbreviated as CV, is a way to measure how spread out values are in a dataset relative to the...
Descriptive Statistics in Python
How to Calculate Levenshtein Distance in Python
The Levenshtein distance between two strings is the minimum number of single-character edits required to turn one word into the other.
The word “edits” includes...
Descriptive Statistics in Python
How to Calculate Hamming Distance in Python (With Examples)
The Hamming distance between two vectors is simply the sum of corresponding elements that differ between the vectors.
For example, suppose we have the following...
Descriptive Statistics in Python
How to Calculate Cramer’s V in Python
Cramer’s V is a measure of the strength of association between two nominal variables.
It ranges from 0 to 1 where:
0 indicates no association between...
Descriptive Statistics in Python
How to Calculate Spearman Rank Correlation in Python
In statistics, correlation refers to the strength and direction of a relationship between two variables. The value of a correlation coefficient can range from -1 to...
Descriptive Statistics in Python
How to Perform a Box-Cox Transformation in Python
A box-cox transformation is a commonly used method for transforming a non-normally distributed dataset into a more normally distributed one.
The basic idea behind this method...
Subscribe
- Never miss a story with notifications
- Gain full access to our premium content
- Browse free from up to 5 devices at once
Must read