Welcome to the Data Analysis repository! This repository is dedicated to providing resources, examples, and tutorials related to data analysis. Whether you're a beginner looking to learn the fundamentals or an experienced data analyst searching for advanced techniques, this repository aims to support your journey.
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BiciMad Data Analysis: Here, our primary goal is to thoroughly examine the data collected by BiciMad and propose improvements for bike distribution throughout the city. Through a detailed analysis of usage patterns, demand, and efficiency, we aim to optimize the bike deployment to ensure a sustainable and convenient mobility experience for all Madrid residents. |
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Exploratory Data Analysis: The Exploratory Data Analysis (EDA) section is organized into multiple notebooks, each demonstrating different techniques for analyzing and visualizing data. These examples include basic descriptive statistics, handling missing data, detecting outliers, and visualizing relationships between variables through various plots. Each notebook provides a unique approach to EDA, showcasing how different methods can be applied depending on the dataset's characteristics and the analysis goals. |
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COVID-19 Study: The main objective of this study is to examine and compare the evolution of COVID-19 cases in Madrid and across the country. We will analyze key variables such as the number of confirmed cases, the incidence rate, and other relevant indicators to obtain a more comprehensive understanding of the situation. |
