Descriptive Statistics in Python
Descriptive Statistics in Python
How to Calculate Percentiles in Python (With Examples)
The nth percentile of a dataset is the value that cuts off the first n percent of the data values when all of the...
Descriptive Statistics in Python
How to Calculate Euclidean Distance in Python (With Examples)
The Euclidean distance between two vectors, A and B, is calculated as:
Euclidean distance = √Σ(Ai-Bi)2
To calculate the Euclidean distance between two vectors in Python,...
Descriptive Statistics in Python
How to Calculate Cosine Similarity in Python
Cosine Similarity is a measure of the similarity between two vectors of an inner product space.
For two vectors, A and B, the Cosine Similarity...
Descriptive Statistics in Python
How to Calculate Skewness & Kurtosis in Python
In statistics, skewness and kurtosis are two ways to measure the shape of a distribution.
Skewness is a measure of the asymmetry of a distribution. This value can be positive...
Descriptive Statistics in Python
How to Calculate the Standard Error of the Mean in Python
The standard error of the mean is a way to measure how spread out values are in a dataset. It is calculated as:
Standard error...
Descriptive Statistics in Python
How to Calculate The Interquartile Range in Python
The interquartile range, often denoted “IQR”, is a way to measure the spread of the middle 50% of a dataset. It is calculated as the difference...
Descriptive Statistics in Python
How to Calculate Relative Frequency in Python
Relative frequency measures how frequently a certain value occurs in a dataset relative to the total number of values in a dataset.
You can use the...
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