Histogram is a graphical representation of the distribution of a dataset, where the data is grouped into bins or intervals and the height of each bar represents the frequency or count of data points falling within that bin. It's like a bar chart on steroids, giving you a quick visual snapshot of how your data is spread out, so you can impress your boss or make your Jupyter Notebook look fancy.

How to use it in a sentence

1. When the new intern asked me how to visualize the user engagement data, I told them to just slap it into a histogram and call it a day - management eats that stuff up, and it's not like they'll actually understand what it means anyway.

2. I was debugging this legacy codebase, and I stumbled upon a histogram buried deep in the bowels of the system - it was like finding a fossil from the Jurassic era of software development, back when people actually cared about data visualization and not just making things look pretty with CSS gradients and parallax scrolling.

If you actually want to learn more...

• Understanding P-Value Histograms: David Robinson, the data wizard at Heap, dives into the mysterious world of p-value histograms, revealing the secrets of interpreting these cryptic plots and making you feel like a statistical mastermind. http://varianceexplained.org/statistics/interpreting-pvalue-histogram/

• Averages are for Amateurs: Martin Fowler, the OG of software development, takes you on a journey through the treacherous landscape of comparing averages, exposing the pitfalls that await unsuspecting data analysts and showing you the path to enlightenment with strip charts, density plots, and the almighty histogram. https://martinfowler.com/articles/dont-compare-averages.html

• R You Ready for Some Data Science? If you're tired of writing boring enterprise Java code and want to spice up your life with some data science action, check out the tidyverse in R - it's like having a superhero utility belt for data manipulation and visualization, and histograms are just the beginning. https://www.tidyverse.org/

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.