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Data analysis & Visualization

Designing Multi-Panel Plots to Improve Readability

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 […]

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Data Engineering

Don’t Build Models on Trash; Start with a Data Pipeline

Many people jump straight into building models, eager to extract insights or maximize accuracy. However, without a proper data pipeline to clean, structure, and process your data, your model will either fail or produce results that look good but are misleading. The Messy Truth About Real-World Data In an ideal world, data would be clean, […]

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Data analysis & Visualization

Stop Overusing One Chart, Use the Right One at the Right Time

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 […]

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Data Engineering

Logic First, Data Later? Or the Other Way Around? ETL vs ELT

Data doesn’t just magically become useful. Whether you’re building dashboards, feeding machine learning models, or just trying to get a cleaner look at last quarter’s sales, you need data that’s structured, clean, and actually means something. And that’s where transformation comes in, particularly through ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. But […]

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Data analysis & Visualization

The Importance of Data Didn’t Increase, It Was Essential All Along

Let’s talk about data. It’s everywhere right now, right? The term has become synonymous with the tech boom of the 2020s. But here’s the catch, data isn’t something we just discovered. It’s always been essential. The real shift? How accessible it has become today, thanks to the massive strides in AI and machine learning. Before […]

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Data Engineering

Clarifying the Terms: DataFrame vs. Dataset

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, […]