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Raphael Ajiboye Olabanji • Data Science Student @ Dataraflow, Lagos 20 min read • #pandas #DataScience #WorldBank #ClimateChange #Energy #100DaysOfCode #NigeriaTech #LearnInPublic This wasn’t just another week. This was the week. The week I stopped c...

From Joining Datasets to Discovering CorrelationsExploring how data integration, transformation, and visualization reveal deeper insights. This week’s focus was on how to transform and combine datasets—a vital step in preparing data for analysis. Bui...

Introduction In this project, I performed web scraping via the Central Bank of Brazil's (BCB) public API and automated the collection of historical data for a set of indicators grouped into four analytical categories: Sectoral Costs: IPCA Health, Me...

In the world of statistics and data analysis, understanding how different variables interact is crucial for building effective models. Three important concepts that help us analyze these relationships are covariance, correlation, and collinearity. In...

Introduction: Understanding Correlation and Causation in Data Science In the world of data science, understanding the difference between correlation and causation is fundamental. Correlation refers to a statistical relationship between two variables,...
