Step aboard as we sail through private boat and yacht ownership stats. This blog post touches on maritime luxury, dissecting ownership stats across selected regions. From the shores of the Mediterranean to the marinas of Florida and California, I’ll share some basic facts, interesting facts, and insightful visuals. Whether you’re a seasoned sailor or a […]
Tag: STEM
Planes, Trains, and Automobiles: Selected Stats
Let me present some stats on planes, trains, and automobiles in selected countries from around the globe. Specifically, I present metrics on trips by each mode of transportation, reported accidents, and finally, scores for each mode for each of the countries in list. I also explain the data sources, my methodology, and caveats. Sit back, […]
Three Lines Puzzle with Dots with Interactive Solution
Let’s look at a classic “Seven Dots Puzzle”, also known as the “Three Lines Puzzle with Seven Dots” and if we code it in Python and show the solution interactively. In this puzzle, we have seven dots arranged in a specific configuration, and the challenge is to draw three straight lines such that each dot […]
Textual Responses To Metrics and Visuals
It’s common for surveys to take in text responses in various forms, but in the end, to get insights, they need to be quantified for measurements. The process of converting textual responses into quantifiable units is commonly referred to as quantification or scaling. In survey research, this approach is often part of Likert scaling or […]
Control charts: when, how and why
Control charts are essential for statistical quality control purposes, such as for monitoring performance and defects measurements. Control charts are also known as Shewhart charts or process-behavior charts as they are tools used to monitor and analyze the behavior of a process over time. They help identify variations in the process and determine whether those […]
Why use dataclass decorator in Python?
A dataclass decorator in Python is a handy feature introduced in Python 3.7 to simplify the process of creating classes that primarily store data. The decorator generates boilerplate code, like init, repr, eq, and other special methods, making code more concise and readable. Essentially, using dataclasses simplifies the process of creating classes. In this post, […]
Creating Word Clouds from Google Trends
Google Trends platform provides interesting view into what the world is searching online. In our age of digital information, it has become a critical tool for understanding the world’s curiosities and behaviors. It allows us to explore the popularity of search queries across many regions and languages over time. Marketers looking to gauge consumer interests, […]
The Elegant Brachistochrone Curve
The Brachistochrone curve (from Greek brachistos, “shortest,” and chronos, “time”) is the path between two points that allows an object to descend under gravity in the shortest possible time. First posed as a challenge by Johann Bernoulli in 1696, this problem spurred breakthroughs in mathematics and physics. The solution—unexpectedly a cycloid rather than a straight […]
Stacks and Heap Basics in Python
Python, like most high-level programming languages, has the concept of stack and heap, although it might not be as explicit or direct as in C++ or Java. While we may not need to typically explicitly manage memory in Python, having this knowledge equips us with the skills to write better code, debug issues effectively, and […]
Optimization Problems with Diminishing Returns
Optimization problems are a cornerstone of decision-making processes across various fields, from economics to engineering. However, they often encounter the phenomenon of diminishing returns, where the incremental benefit of a decision decreases as the level of investment or input increases. This concept can complicate optimization efforts, as it requires finding the right balance between resource […]