Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and analyzing keywords.

80% of data analysis is cleaning and preparing data. A major part of that cleaning is data tidying—structuring datasets into a consistent, predictable format that simplifies analysis, modeling, ...

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This article adopts a constructivist grounded theory approach based on the principle of intersubjective relations and the co-construction of interpretations. Reflecting on the author's experiences as ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...