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Understanding Data Science and Data Analysis Life Cycle

Pickl AI

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. billion INR by 2026, with a CAGR of 27.7%.

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Life of modern-day alchemists: What does a data scientist do?

Dataconomy

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape.

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Getting Started with Plotly in Python: Features and Customisation

Pickl AI

Plotly allows developers to embed interactive features such as zooming, panning, and hover effects directly into the plots, making it ideal for Exploratory Data Analysis and dynamic reports. Heatmaps also find applications in fields like bioinformatics, where they can visualise gene expression data or signal processing.

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