Amazed (at the stupidity) and fascinated (by idiocy) by binge and panic shopper, I was compelled to ponder specifically about the toilet paper shortage in light of the recent pandemic (“corona virus”). This blog is will reflect on the reasoning provided by shoppers, and psychologists, a look at the economic statistics and realities of the […]
Tag: STEM
Creating Beautiful Violin Plots
A violin plot is a visual that traditionally combines a box plot and a kernel density plot. This is typically created in R, Python languages using MATPLOTLIB and other applications/modules. However, I show here how to get it done using only PowerBI. About Violin Plots Before I go into how to plot it, let’s understand […]
How many cats and dogs are there in your city? (method and cool charts)
In this seemingly simple couple of charts, I demonstrate a few nifty tricks that are fun and effective. First, we want to find out how many cats and dogs in a few selected cities (around me) and come with an educated estimate based on data. Then, we will use some cool, free add-in to create […]
Understanding buckets, bins, categorization (3/3)
In this multi-series of blog, I’ll touch on different ways to categorize data in buckets, or bins, and summarize in meaningful ways. Some will use Pivot Tables, some will not. But we’ll cover 3 common scenarios. Let’s do the third and final one here… The Scenario We have about 2,000 rows of data on sales […]
Understanding buckets, bins, categorization (2/3)
In this multi-series of blog, I’ll touch on different ways to categorize data in buckets, or bins, and summarize in meaningful ways. Some will use Pivot Tables, some will not. But we’ll cover 3 common scenarios. Let’s do the second one here… The Scenario We have data on employees’ join-dates (TABLE 1). Objective: We want […]
Understanding buckets, bins, categorization (1/3)
In this multi-series of blog, I’ll touch on different ways to categorize data in buckets, or bins, and summarize in meaningful ways. Some will use Pivot Tables, some will not. But we’ll cover 3 common scenarios. Let’s start with the first… The Scenario We have a 120K+ rows of data on wine bottle prices and […]
Forecasting with Seasonality & Linear (Time-Series)
In one of my earlier blogs, I used linear forecasting method to predict a team’s scores in the future. While that was darn close to reality (when we checked with actual results), it did not mathematically account for fluctuations or seasonality and the outcome was always linear. In this blog, I show another method (that […]
Relationships Explained by Statistics (humor)
The following charts are based on real datasets (plotted in Excel) that I created (for mainly humor, but probably not too distant from the truth) in order to attempt to visually depict relationship dynamics. The way to read them (or to get the most humor out of them), is to recognize that the x-axis shows […]
Usages of OFFSET
OFFSET() is a nifty function that when used in conjunction with other formulas be very useful at times. Here are some examples of how it can be used to optimize some tasks. In one of my earlier blogs, I demonstrated a formula to transform a matrix of data into a single, continuous column of data. […]
Quick! Pick a number between 1 and 10!
“Pick a number between 1 and 10”—There’s been plethora of variations of such a game manifested in ways of magic tricks, simulations, statistics, and for sheer intellectual and nerdy curiosity. But is there an answer? Better yet, is there a pattern? If so, what is it…and how can it be explained? Some experiments claim to […]