Produce Brochures/Emails/Flyers for Business Distribution with Matplotlib — One of the most frequently overlooked tasks is effective communication of information. You may create the most beautiful dashboard anyone has ever seen, but, if your management team refuses to use the dashboard (because it’s located at a long URL they mysteriously keep losing among their browser bookmarks), it makes…

Making Sense of rcParams & Matplotlib Colormaps — As an avid python enthusiast, I recently wanted to generate a publication-ready treemap in python. Treemapping is commonly used for displaying hierarchical, categorical data using nested rectangles. Each leaf of a treemap is a stylish, rectangular version of a pie chart which visualizes categorical data. However, the available documentation on…

Interactive Visualizations of the PMF/CDF & Modeling Real Data — The purpose of this article is to introduce the geometric probability distribution. It is one of a series of articles on probability. My goal is to describe each distribution in an intuitive, concise, useful way. There will not be a focus on derivation or proofs. …

Beginner Stats, Fundamental Concepts, Bernoulli Distribution — If you are in the field of data science/machine learning, you may decide that, at some point, it could be useful to read academic papers or package documentation with statistical concepts. Upon doing so, you may quickly get overwhelmed by syntax and unexplained symbolic representations that may deter you. …

Import data from Google Drive files or directly from web URLs — This article describes a step-by-step approach for using Google Colaboratory with an R kernel. As an engineer and biostatistician, I code primarily in python and R. Within the last six months, I have decided, for small projects, it is fastest to share code with others through Google Drive and Google…

Statistical Hypothesis Testing + Visuals with SciPy and Seaborn — Traditional statistics are not understood by most data science practitioners. Many modern figures are not utilized by traditional statisticians. Let’s bridge this gap. Imagine a task. You have tens or hundreds of features available to predict an outcome. Let’s say this outcome is the number of clicks on an eCommerce…

Generate 3-way Venns with tailored labels and legends from pandas DataFrames — As an avid python enthusiast, I recently came across the task of generating a 3-way Venn diagram. The quantity of time I spent on this seemingly simple task illuminated areas of sparsity in my working knowledge of matplotlib. May this tutorial aid others in efficiently customizing matplotlib embedded text to…

History of the Curse of Dimensionality, Distance Measure Implications, and Unsupervised Learning Methods — Origins “The purpose of this work is to provide an introduction to mathematical theory of multi-stage decision processes. Since these constitute a somewhat formidable set of terms we have coined the term ‘dynamic programming’ to describe the subject matter. […] Each decision may be thought of as a choice of a…