Python Floating Point Numbers
One important thing to know when you are programming in Python, is how Python deals with floating point […]
Programming
Data Imputation of Age
Exploratory Data Analysis (EDA) has six main practices. The six main practices of EDA are discovering, structuring, cleaning, […]
Seaborn Style and Color
At the seaborn website there is an article called Controlling Figure Aesthetics. There is another article called Choosing […]
Seaborn Introduction
What is seaborn? Seaborn is a visualization library for making statistical graphics in Python. It builds on top […]
EDA Discovering with Visuals
Are you exploring a dataset using Python? If you are in your initial discovery phase, you might want […]
Logistic Regression in Python
This Python project example was done using Jupyter Notebook in Anaconda Navigator with made-up fake made-up data on […]
Binomial Logistic Regression
Binomial means two. Let’s review. Logistic regression is a technique that models a categorical dependent variable Y based […]
Tips Dataset in Seaborn
The seaborn library of Python has a built-in dataset that a data professional can easily use to learn […]
Histogram of Categorical Data
Are you are a data professional who is interested in generating a histogram in Python? Suppose you are […]
Bar Charts in Matplotlib
The bar chart is one of the most common and most important charts. I will loosely follow Corey […]
Pie Charts in matplotlib
Let’s create a very simple pie chart using the Python library matplotlib. There is however some controversy with […]
Random Histogram in Matplotlib
Do you want to become more familiar with producing histograms in the matplotlib library of Python? I created […]