With Sample Code for Enhancements to Inspire Your Charting Creativity — Note: The code for this post can be found here Understanding how the variables are distributed in the data is an important step and should happen early in the Exploratory Data Analysis (EDA) process. There are a number of tools available to analyze the distribution of data. Visualization aids are…

An Analysis Using Tableau — An Analysis Using Tableau Inspired by the recovery of air traffic demand, I looked at airline safety records to see if there are noticeable patterns. Many consumers say or at least claim that they would avoid airlines that have had incidents in the past. In my analysis, I look to…

Step-by-Step Guide to Build an API w/ Python, Flask, and MongoDB on Heroku — Step-by-Step Guide to Build an API w/ Python, Flask, and MongoDB on Heroku Note: The code for this post can be found here API stands for Application Programming Interface. It is a software intermediary that allows systems to communicate with each other. For example, when a user enters a URL…

Step-By-Step Guide To Build and Deploy a Data Collection App w/ Python and PostgreSQL on Heroku — Note: The code for this post can be found here In spite of the Data Proliferation observed in recent years, too often do we find ourselves being roadblocked by the lack of data for a project. Throughout a typical day of web browsing, we come across countless pieces of information…

2-Part Guided Case Study using Student/Customer Satisfaction Survey Data — Note: The code for this post can be found here Rating Scales are an effective and popular way to gauge attitudes and opinions. They are easy to implement and widely used in surveys, feedback forms, and performance evaluations. Yet, misuses and mistakes often occur in the implementation and analysis of…

Sharing A Snippet to Experiment Plot Configurations Quickly — Note: The code for this post can be found here In Data Analytics/Science, the Exploratory Data Analysis process generally includes constructing visualizations that represent and summarize the data set. Good visualizations can be very powerful in describing complex trends and stats in the data, but finding them can be an…

With Performance Comparison Analysis and Guided Example of Animated 3D Wiref — Note: The code for this post can be found here Python is famous for its vast selection of libraries and resources from the open-source community. As a Data Analyst/Engineer/Scientist, one might be familiar with popular packages such as Numpy, Pandas, Scikit-learn, Keras, and TensorFlow. Together these modules help us extract…

Explore the Motivation and Capabilities of ML Through the Game of Rock Paper Scissors — Note: The code for this post can be found here In this article, we’re going to build a simple Rock Paper Scissors game in Python with two different approaches: Rules-Based System vs. Machine Learning. Through this comparison, I hope to express how Machine Learning works and its motivations. To be…

Guided Example of Model Deployment using Python and Flask — Note: The code for this post can be found here The last step in the Machine Learning Life Cycle is to put the model into production, also known as “operationalizing” the model. It often means enabling the model to generate outputs based on new data given. In the context of…