Structured Data
Data is either structured or unstructured. If we are to analyze data using statistics, we must process the […]
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Gestalt Principles
First of all, Gestalt psychology was founded by German thinkers Max Wertheimer, Wolfgang Kohler, and Kurt Koffka and […]
Pandas DataFrame Introduction
A Pandas DataFrame is a two-dimensional data structure, with “rows” and “columns”, like a two-dimensional array, or a […]
NumPy Library
NumPy is a Python library. NumPy is used for working with arrays. NumPy is short for “Numerical Python”. […]
Matplotlib Library Introduction
Matplotlib is a low level graph plotting library in python that serves as a visualization utility. Matplotlib was […]
Pandas Library
Pandas is a Python library that’s used to work with data sets and analyze data. It has functions […]
Python Types
Every variable you make has a specific data type. Python is dynamically typed. What does that mean? The […]
Python Variables
Variables store information in your programs, including, text, sentences, numbers, sets of data and everything else. You make […]
Python Naming Conventions
Like all programming languages, Python has conventions for naming. This post covers some of them for Python version […]
Interpreting Confidence Intervals
Confidence intervals are often misunderstood. Let’s use an example. You have a population of oak trees in your […]
Sampling Introduction
Inferential statistics uses sample data to draw conclusions or make predictions about a larger population. Sampling is the […]
The Normal Distribution
The normal distribution is a continuous probability distribution that is symmetrical on both sides of the mean and […]