Multi-panel plots are a go-to tool for data analysts and scientists. Whether you’re comparing model outputs, segmenting behavioral trends, or tracking multiple time series, breaking a figure into subplots is often the fastest way to present a lot of information at once. But there’s a catch: just because something fits on a page doesn’t mean […]
We all love a good chart, don’t we? A clean line graph or a slick pie chart can make your data look polished and professional. But here’s the thing: using the wrong chart,even if it looks nice, can totally mess up how your data is interpreted. Charts are powerful tools, but they can actually reduce […]
“Numbers don’t lie, but they sure can mislead.” You’ve probably heard this before, and in the world of statistics, it couldn’t be more accurate. People often hail averages as the go-to statistic for summarizing data, but here’s the catch: if you rely on averages without digging deeper, you might miss the true story or, worse, […]
If you’ve worked with data, especially in Python, Spark, or R, you’ve probably come across the terms Dataset and DataFrame. They sound similar, but they’re actually a bit different depending on the tool or framework you’re using. DataFrame A DataFrame is a two-dimensional tabular data structure that resembles an Excel sheet or a database table, […]
Hello you! Okay, today I decided to break formal language because we have delicious content. Have you ever heard of hexbins? If not, it’s fine; if yes, it’s also fine. Today, I’ll try to show the pros of hexbins over scatter plots (which you are familiar with, I suppose) in large datasets. Why Use Hexbins […]
Netflix is undoubtedly one of the biggest streaming platforms in 2025. Today, we will examine how Netflix’s recommendation system works, along with other similar algorithms that analyze your data and predict your preferences. This article is designed to be beginner-friendly and does not contain detailed technical content. It can be easily understood by everyone without […]