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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta http-equiv="X-UA-Compatible" content="ie=edge" />
<title>Case Study of Project 3</title>
<meta name="description" content="Case study page of Project" />
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<body>
<header class="header">
<div class="header__content">
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<div class="header__logo-img-cont">
<img
src="./assets/png/s-cobos.png"
alt="Ram Maheshwari Logo Image"
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/>
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<span class="header__logo-sub">Sergio Cobos</span>
</div>
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<a href="./index.html" class="header__link"> Home </a>
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<a href="./index.html#about" class="header__link">About </a>
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<a href="./index.html#projects" class="header__link">
Projects
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<a href="./index.html#about"> About </a>
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<a href="./index.html#contact"> Contact </a>
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</header>
<section class="project-cs-hero">
<div class="project-cs-hero__content">
<h1 class="heading-primary">Advanced Statistical Analysis in Football</h1>
<div class="project-cs-hero__info">
<p class="text-primary">
An in-depth exploration of FIFA 2022 player data to analyze the
influence of league level and national team participation on
players' salaries and market values. The project employs
advanced statistical methods in R, including hypothesis
testing and ANOVA, to uncover the dynamics in the football world.
</p>
</div>
<div class="project-cs-hero__cta">
<a href="./fifa-2022-analysis.html" class="btn btn--bg" target="_blank">View Notebook</a>
</div>
</div>
</section>
<section class="project-details">
<div class="main-container">
<div class="project-details__content">
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<img
src="./assets/png/emisions-co2.webp"
alt="Project Image"
class="project-details__showcase-img"
/>
</div>
<div class="project-details__content-main">
<div class="project-details__desc">
<h3 class="project-details__content-title">Project Overview</h3>
<p class="project-details__desc-para">
This project involves a comprehensive analysis of the FIFA 22
dataset from Kaggle. Focusing on the relationship between players' wages,
market value, and factors like league level and international reputation,
we apply statistical techniques like regression models and ANOVA to draw
meaningful insights.
</p>
<p class="project-details__desc-para">
The analysis, conducted with R and its powerful libraries, aims
to shed light on the economic aspects of football, offering a
unique perspective on player valuation.
</p>
</div>
<div class="project-details__tools-used">
<h3 class="project-details__content-title">Key Concepts & Methods</h3>
<div class="skills">
<div class="skills__skill">Statistical Analysis</div>
<div class="skills__skill">Hypothesis Testing</div>
<div class="skills__skill">Linear Regression</div>
<div class="skills__skill">Logistic Regression</div>
<div class="skills__skill">ANOVA</div>
<div class="skills__skill">Data Visualization</div>
<div class="skills__skill">R Programming</div>
<div class="skills__skill">dplyr</div>
<div class="skills__skill">tidyverse</div>
<div class="skills__skill">ggplot2</div>
<div class="skills__skill">gridExtra</div>
<div class="skills__skill">knitr</div>
<div class="skills__skill">emmeans</div>
</div>
</div>
<div class="project-details__links">
<h3 class="project-details__content-title">See Live</h3>
<a
href="./fifa-2022-analysis.html"
class="btn btn--med btn--theme project-details__links-btn"
target="_blank"
>View Notebook</a
>
<!-- <a
href="#"
class="btn btn--med btn--theme-inv project-details__links-btn"
target="_blank"
>Code Link</a
> -->
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<h4 class="heading heading-sm text-lt">Sergio Cobos</h4>
<p class="main-footer__short-desc">
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