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<!DOCTYPE html>
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<title>Data Science with R- Final Project Report</title>
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<h1 class="title">Data Science with R- Final Project Report</h1>
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<div class="quarto-title-meta">
</div>
</header>
<section id="sri-lanka--data-analysis" class="level1">
<h1>Sri Lanka- Data Analysis</h1>
<section id="introduction" class="level2">
<h2 class="anchored" data-anchor-id="introduction">Introduction:</h2>
<p>This project analyzes various aspects of Sri Lanka including demographics, economy, tourism, agriculture, mental health challenges, and threats like natural disasters It combines static reporting with interactive visualisations to provide a comprehensive overview. I built a Shiny dashboard was developed to provide an interactive user experience, allowing users to navigate through various insights using dynamic content.</p>
</section>
<section id="objectives" class="level2">
<h2 class="anchored" data-anchor-id="objectives">Objectives:</h2>
<p>The primary goals of this project were to:</p>
<ol type="1">
<li><p>Create an <strong>interactive Shiny application</strong> to allow navigation between sections.</p></li>
<li><p><strong>Visualize key information</strong> about Sri Lanka across several dimensions (demographics, economic data, SWOT analysis).</p></li>
<li><p>Use <strong>plots, maps, and visuals</strong> to present data insights effectively.</p></li>
<li><p>Provide a structured comparison of GDP, population, and economic opportunities.</p></li>
<li><p>Highlight challenges such as mental health and natural disasters while emphasizing strengths and opportunities.</p></li>
</ol>
</section>
<section id="methodology" class="level2">
<h2 class="anchored" data-anchor-id="methodology"><strong>Methodology</strong></h2>
<section id="data-collection-and-preparation" class="level3">
<h3 class="anchored" data-anchor-id="data-collection-and-preparation"><strong>1. Data Collection and Preparation</strong></h3>
<ul>
<li><p>Datasets included:</p>
<ul>
<li><p>Cleaned South Asian economic and demographic data.</p></li>
<li><p>Tourism statistics for Sri Lanka</p></li>
<li><p>Mental health and suicide rates in Sri Lanka</p></li>
<li><p>Agricultural production data for various districts.</p></li>
<li><p>Consolidated information on natural disasters.</p></li>
</ul></li>
<li><p><strong>Data Cleaning</strong>:</p>
<ul>
<li><p>I focused on cleaning datasets in a different file, so the development of the Shiny app could be viewed clearly.</p></li>
<li><p>Spaces in column names were replaced with consistent formats (e.g., replacing spaces with periods) to ensure cleanliness was done here</p></li>
<li><p>Irrelevant or incomplete rows were removed for better accuracy.</p></li>
</ul></li>
</ul>
</section>
<section id="shiny-application-development" class="level3">
<h3 class="anchored" data-anchor-id="shiny-application-development"><strong>2. Shiny Application Development</strong></h3>
<p>The interactive application was built using <strong>R Shiny</strong>. The layout consists of:</p>
<ol type="1">
<li><p><strong>Navigation Panel</strong>: Users can click buttons to access the following sections:</p>
<ul>
<li><p>General Description</p></li>
<li><p>Key Demographics</p></li>
<li><p>Comparative Analysis</p></li>
<li><p>SWOT Analysis</p></li>
<li><p>References</p></li>
</ul></li>
<li><p><strong>Main Content Panel</strong>: Displays dynamic tabs and content based on the selected section.</p></li>
</ol>
</section>
</section>
<section id="key-sections-of-the-application" class="level2">
<h2 class="anchored" data-anchor-id="key-sections-of-the-application"><strong>3. Key Sections of the Application</strong></h2>
<section id="general-description" class="level3">
<h3 class="anchored" data-anchor-id="general-description"><strong>3.1 General Description</strong></h3>
<ul>
<li><p><strong>Global Location</strong>: A map was integrated using. <code>leaflet</code> to highlight Sri Lanka’s location in the Indian Ocean.</p></li>
<li><p><strong>Key Facts</strong>: Bullet points showcase interesting facts about Sri Lanka, including its nickname, natural wonders, and industries.</p></li>
<li><p><strong>General Description</strong>: Descriptive paragraphs provide an overview of Sri Lanka’s history, population, and culture. Few images enhance the visual appeal of the app.</p></li>
</ul>
</section>
<section id="key-demographics" class="level3">
<h3 class="anchored" data-anchor-id="key-demographics"><strong>3.2 Key Demographics</strong></h3>
<p>This section focuses on Sri Lanka’s:</p>
<ul>
<li><p><strong>Ethnic Groups</strong>: Visualizes the diversity in population, emphasizing major ethnicities such as Sinhalese, Sri Lankan Tamils, Moors, and Burghers.</p></li>
<li><p><strong>Languages Spoken</strong>: Explains the country’s official and widely spoken languages: Sinhala, Tamil, and English.</p></li>
<li><p><strong>Population</strong>: Provides insights into Sri Lanka’s population distribution across ethnicities.</p></li>
</ul>
</section>
<section id="comparative-analysis" class="level3">
<h3 class="anchored" data-anchor-id="comparative-analysis"><strong>3.3 Comparative Analysis</strong></h3>
<p>This section uses bar charts and scatter plots to compare Sri Lanka with other South Asian countries:</p>
<ul>
<li><p><strong>GDP Comparison</strong>:</p>
<ul>
<li><p>India leads in GDP, reflecting its economic dominance.</p></li>
<li><p>Sri Lanka’s GDP demonstrates steady growth compared to smaller economies like Bhutan and Nepal.</p></li>
</ul></li>
<li><p><strong>Population Comparison</strong>:</p>
<ul>
<li><p>India’s massive population highlights its demographic impact.</p></li>
<li><p>Sri Lanka’s smaller population enables focused development opportunities.</p></li>
</ul></li>
<li><p><strong>GDP vs Population</strong>:</p>
<ul>
<li>A scatter plot highlights the correlation between GDP and population, with Sri Lanka positioned as a country with economic growth potential.</li>
</ul></li>
</ul>
</section>
<section id="swot-analysis" class="level3">
<h3 class="anchored" data-anchor-id="swot-analysis"><strong>3.4 SWOT Analysis</strong></h3>
<p>The SWOT analysis identifies Sri Lanka’s strengths, weaknesses, opportunities, and threats using <strong>data-driven visuals</strong>:</p>
<ul>
<li><p><strong>Strength</strong>:</p>
<ul>
<li><strong>Tourism Industry</strong>: Line plots illustrate the growth of tourism GDP and per capita income until 2018, showcasing tourism as a major strength.</li>
</ul></li>
<li><p><strong>Weakness</strong>:</p>
<ul>
<li><strong>Mental Health Challenges</strong>: Suicide trends by age group highlight significant mental health issues, particularly among young and middle-aged populations.</li>
</ul></li>
<li><p><strong>Opportunity</strong>:</p>
<ul>
<li><strong>Agricultural Potential</strong>: Bar charts showcase high agricultural production in districts like Polonnaruwa and Anuradhapura, emphasizing untapped potential for growth.</li>
</ul></li>
<li><p><strong>Threat</strong>:</p>
<ul>
<li><strong>Natural Disasters</strong>: A stacked bar chart visualizes the impact of disasters such as floods, landslides, and cyclones, which cause significant losses.</li>
</ul></li>
</ul>
</section>
</section>
<section id="references" class="level2">
<h2 class="anchored" data-anchor-id="references"><strong>4. References</strong></h2>
<p>The final section provides all data sources used in the project:</p>
<ol type="1">
<li><p><strong>https://www.indiaodysseytours.com/knows/facts-about-sri-lanka.html</strong></p></li>
<li><p><a href="https://en.wikipedia.org/wiki/Sri_Lanka" class="uri">https://en.wikipedia.org/wiki/Sri_Lanka</a></p></li>
<li><p><a href="https://www.maiglobetravels.com/language-in-sri-lanka" class="uri">https://www.maiglobetravels.com/language-in-sri-lanka</a></p></li>
<li><p><a href="https://www.kaggle.com" class="uri">https://www.kaggle.com</a></p></li>
<li><p><a href="https://www.imf.org/external/datamapper/profile/LKA" class="uri">https://www.imf.org/external/datamapper/profile/LKA</a></p></li>
<li><p>Google AI & ChatGPT (For content + Report)</p></li>
</ol>
</section>
<section id="challenges" class="level2">
<h2 class="anchored" data-anchor-id="challenges">Challenges:</h2>
<ul>
<li><p>The images needed to be in a different folder(www) on my system, to show up in the app</p></li>
<li><p>The collection of data was a bit tiresome</p></li>
</ul>
</section>
<section id="conclusion" class="level2">
<h2 class="anchored" data-anchor-id="conclusion"><strong>Conclusion</strong></h2>
<p>This project successfully utilized Shiny in R to develop an interactive dashboard showcasing comprehensive insights into Sri Lanka. By combining visualizations, interactive tabs, and structured content, users can easily explore critical aspects of the country’s strengths, challenges, and growth opportunities. The project provides a foundation for policymakers, researchers, and students to analyze data effectively and derive meaningful conclusions.</p>
</section>
<section id="section" class="level2">
<h2 class="anchored" data-anchor-id="section"></h2>
</section>
</section>
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if (note !== null) {
// This should only happen for chapter cross references
// (since there is no id in the URL)
// remove the first header
if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
note.children[0].remove();
}
const html = processXRef(null, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
}, function(instance) {
});
}
let selectedAnnoteEl;
const selectorForAnnotation = ( cell, annotation) => {
let cellAttr = 'data-code-cell="' + cell + '"';
let lineAttr = 'data-code-annotation="' + annotation + '"';
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
return selector;
}
const selectCodeLines = (annoteEl) => {
const doc = window.document;
const targetCell = annoteEl.getAttribute("data-target-cell");
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
const lineIds = lines.map((line) => {
return targetCell + "-" + line;
})
let top = null;
let height = null;
let parent = null;
if (lineIds.length > 0) {
//compute the position of the single el (top and bottom and make a div)
const el = window.document.getElementById(lineIds[0]);
top = el.offsetTop;
height = el.offsetHeight;
parent = el.parentElement.parentElement;
if (lineIds.length > 1) {
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
height = bottom - top;
}
if (top !== null && height !== null && parent !== null) {
// cook up a div (if necessary) and position it
let div = window.document.getElementById("code-annotation-line-highlight");
if (div === null) {
div = window.document.createElement("div");
div.setAttribute("id", "code-annotation-line-highlight");
div.style.position = 'absolute';
parent.appendChild(div);
}
div.style.top = top - 2 + "px";
div.style.height = height + 4 + "px";
div.style.left = 0;
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
if (gutterDiv === null) {
gutterDiv = window.document.createElement("div");
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
gutterDiv.style.position = 'absolute';
const codeCell = window.document.getElementById(targetCell);
const gutter = codeCell.querySelector('.code-annotation-gutter');
gutter.appendChild(gutterDiv);
}
gutterDiv.style.top = top - 2 + "px";
gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
if (selectedAnnoteEl) {
selectCodeLines(selectedAnnoteEl);
}
}, 10)
);
function throttle(fn, ms) {
let throttle = false;
let timer;
return (...args) => {
if(!throttle) { // first call gets through
fn.apply(this, args);
throttle = true;
} else { // all the others get throttled
if(timer) clearTimeout(timer); // cancel #2
timer = setTimeout(() => {
fn.apply(this, args);
timer = throttle = false;
}, ms);
}
};
}
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>