Descriptive Statistics in Python
Descriptive Statistics in Python
How to Calculate the Standard Deviation of a List in Python
You can use one of the following three methods to calculate the standard deviation of a list in Python:
Method 1: Use NumPy Library
import numpy...
Descriptive Statistics in Python
How to Normalize Data in Python
Often in statistics and machine learning, we normalize variables such that the range of the values is between 0 and 1.
The most common reason...
Descriptive Statistics in Python
How to Find the Antilog of Values in Python
The antilog of a number is the inverse of the log of a number.
So, if you calculate the log of a number you can...
Descriptive Statistics in Python
How to Calculate Manhattan Distance in Python (With Examples)
The Manhattan distance between two vectors, A and B, is calculated as:
Σ|Ai – Bi|
where i is the ith element in each vector.
This distance is used to measure the...
Descriptive Statistics in Python
How to Calculate Cross Correlation in Python
Cross correlation is a way to measure the degree of similarity between a time series and a lagged version of another time series.
This type...
Descriptive Statistics in Python
How to Calculate Deciles in Python (With Examples)
In statistics, deciles are numbers that split a dataset into ten groups of equal frequency.
The first decile is the point where 10% of all...
Descriptive Statistics in Python
How to Calculate Intraclass Correlation Coefficient in Python
An intraclass correlation coefficient (ICC) is used to determine if items or subjects can be rated reliably by different raters.
The value of an ICC...
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