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<!DOCTYPE html>
<html lang="en">
<head>
<title>Kevin Kantono's Data Portfolio</title>
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<meta charset="utf-8">
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<header class="header text-center">
<h1 class="blog-name pt-lg-4 mb-0"><a href="index.html">Kevin's Page</a></h1>
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<div class="bio mb-3">Hi, I'm Kevin Kantono. I am an experienced sensory and consumer scientist who is fascinated with human perception with previous
background in multisensory, psychoacoustics, and emotion research.<br><a href="about.html">Find out more about me</a></div><!--//bio-->
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<a class="nav-link" href="blog-post.html"><i class="fas fa-bookmark fa-fw mr-2"></i>Portfolio</a>
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<article class="blog-post px-3 py-5 p-md-5">
<div class="container">
<header class="blog-post-header">
<h2 class="title mb-2">Why Every (Data) Scientist Should Have A Page</h2>
<div class="meta mb-3"><span class="date">20th April 2020</span></div>
</header>
<div class="blog-post-body">
<h3 class="mt-5 mb-3">Preface</h3>
<p>Well here we are, the first post of the blog. I must say that I'm definitely proud to say that this will just capture all my babblings, experiences, and journey as a (data) scientist. Anyhow what I have figured out is that what if, we as scientist - are proactive in sharing our data analysis method. Or at least a trail of it for whoever is wanting to attempt to analyse it similarly on what we do. I'm not asking EVERYTHING, since afterall data analysis in an art form. The intent here is that whoever that looks up my paper can understand how to prepare the dataset, use data approach, and ultimately extract insights from the data that they have gathered. </p>
<h3 class="mt-5 mb-3">How do we do this?</h3>
<p>Right now the format will be quite basic, I will attempt to explain how to stack the data correctly into the desired dataframe where XLSTAT can analyse it. I will be including several steps and screenshots along the way. I'm aiming to complete the XLSTAT bit first (it is rather easy) then move in to R. </p>
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