This is the conclusion of the original post about Tony’s Cup Drop Paradox. If you haven’t read the puzzle already, please do so first, take a stab (you can submit your response anonymously and see what others said) below: Ok, assuming you have given it a shot and perhaps even nailed it, here’s my answer […]
Tag: analytics
Cup Drop Paradox: Who Finishes First?
The Backstory I came up with this puzzle variant after watching a video posted on social media of two girls racing to put cups in a bucket. The winner was clearly due to a faster player but made me think what if I took that variable out and introduced something less obvious. And so here […]
Python in Excel — Introduction (how and why)
Python in Excel is a feature that allows users to write and execute Python code directly within Excel spreadsheets. This integration enables advanced data analysis, automation, and visualization without needing external add-ins or additional purchases. Advanced, complex visualizations that are not possible directly in Excel is now possible with Python code that uses powerful libraries […]
Stock Data Acquisition And Analyses (Python, Excel)
The stock market is a prominent topic in recent public discussion. Rather than focus on the market itself, this post examines methods for acquiring stock data, reformatting it for use, generating various calculations and visualizations to facilitate analyses, and yielding insights. I will share my approach and point out some useful metrics and observations along […]
Area Charts – Edgy to Smooth (various options)
Area charts are a great option when we need to show trends over time while also emphasizing the magnitude of values. They allow us to compare multiple series or variables easily, while the filled area illustrates the magnitude of values, and they also show how a part contributes to the whole over time. In this […]
Arrays, NumPy, Vectors, Tensors: 0 to 4+ Dimensions Demystified
In the domain of Python programming, data structures are the pillars of efficient and dynamic coding. From the straight-forward one-dimensional lists (arrays) to the complex realms of multidimensional arrays and tensors, Python provides a robust framework to handle and manipulate data. These are not just academic concepts; they are the building blocks of machine learning […]
Categorizing free-form feedback with ML
One of the toughest parts of analyzing survey feedbacks is processing the free-form feedbacks into some quantifiable measures. This is because people express the same thoughts differently, use different styles, spellings, lingos, abbreviations, and not surprisingly, inadvertently introduce spelling and grammatical errors. In order to quantify such entries, we have to arrange each feedback into […]
What are the visual ranges of animals?
Visual ranges vary widely among animals due to differences in anatomy, habitat, and behavior. The visual ranges vary depending on the species even within the same animal. In this post, I share the distance up to which some selected animals are known to see clearly. Just for context, humans with good vision can clearly see […]
Creating Dynamic TTM Reports in Excel
In this post, I’m sharing a method to create various types of TTM reports including visualization using Excel. While there are various methods I have discovered, I believe my method presented here is fool-proof and also intuitive. It uses EOMONTH function for error-free calculation of each month’s end, and FILTER function to filter and fetch […]
Cartoon strip to a data-driven, interactive chart
Recently, I saw this cartoon strip on my Facebook feed from an account called “Homes”. It was sort of funny and true. But beyond that, I couldn’t help but think how much effort would it take to make this into a completely data-driven visualization? Don’t get me wrong, I’m a hobby artist (which you probably […]