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Visualizing Variable Relationships: A Guide to Correlations & Correlograms

Correlations in data science unravel a rich tapestry of relationships among variables—positive, negative, and nuanced connections. Dive into how correlograms wield visual power, offering a swift glimpse into complex datasets, guiding initial analysis. But remember, while they illuminate pathways, further research unveils the complete narrative within your data.

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How machine learning is used in social networks?

My daughter just turned 9. A few months ago, she asked me to uninstall the TikTok app from her mobile phone. TikTok started showing her videos of animal abuse, probably because its recommendation algorithm thought it would increase her viewing time. How is that related to machine learning though…?

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What dinosaurs are hiding in your data?

One of the important tools data scientists love using are data visualizations (i.e., graphs). You might be asking yourself why can’t we completely rely on descriptive statistics? Shouldn’t average, standard deviation, correlation be enough? well… they aren’t.

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