diff --git a/_config.yml b/_config.yml
index 4961480..47fb212 100644
--- a/_config.yml
+++ b/_config.yml
@@ -91,9 +91,9 @@ rss-description: This website is a virtual proof that I'm awesome
 
 # Select which social network share links to show in posts
 share-links-active:
-  twitter: false
-  facebook: false
-  linkedin: false
+  twitter: true
+  facebook: true
+  linkedin: true
   vk: false
 
 # How to display the link to your website in the footer
@@ -246,7 +246,7 @@ footer-hover-col: "#0085A1"
 ################
 
 # Ruby Date Format to show dates of posts
-date_format: "%-d %b, %Y"
+date_format: "%B %-d, %Y"
 
 # Facebook App ID
 #fb_app_id: ""
@@ -266,29 +266,20 @@ kramdown:
   input: GFM
 
 # Default YAML values (more information on Jekyll's site)
-# defaults:
-#   -
-#     scope:
-#       path: ""
-#       type: "posts"
-#     values:
-#       layout: "post"
-#       comments: true  # add comments to all blog posts
-#       social-share: true # add social media sharing buttons to all blog posts
-#   -
-#     scope:
-#       path: "" # any file that's not a post will be a "page" layout by default
-#     values:
-#       layout: "page"
-# Default post settings
 defaults:
   -
     scope:
       path: ""
+      type: "posts"
     values:
       layout: "post"
-      social-share: true
-      nav-short: true
+      comments: true  # add comments to all blog posts
+      social-share: true # add social media sharing buttons to all blog posts
+  -
+    scope:
+      path: "" # any file that's not a post will be a "page" layout by default
+    values:
+      layout: "page"
 
 # Exclude these files from production site
 exclude:
diff --git a/_includes/plotly/visualization2.html b/_includes/plotly/visualization2.html
deleted file mode 100644
index ddd56d5..0000000
--- a/_includes/plotly/visualization2.html
+++ /dev/null
@@ -1,65 +0,0 @@
-<div id="budget-roi-plot"></div>
-<script>
-// Sample data
-const budgets = Array.from({length: 100}, () => Math.random() * 200000000);
-const rois = budgets.map(b => (Math.random() - 0.5) * 300);
-const movieNames = budgets.map((_, i) => `Movie ${i+1}`);
-
-const trace = {
-    x: budgets,
-    y: rois,
-    mode: 'markers',
-    type: 'scatter',
-    text: movieNames,
-    marker: {
-        size: 10,
-        color: rois.map(roi => roi < 0 ? '#ff6b6b' : '#4ecdc4'),
-        opacity: 0.7
-    },
-    hovertemplate: 
-        '<b>%{text}</b><br>' +
-        'Budget: $%{x:,.0f}<br>' +
-        'ROI: %{y:.1f}%<br>' +
-        '<extra></extra>'
-};
-
-const layout = {
-    title: {
-        text: 'Movie Budgets vs Return on Investment',
-        font: { size: 24 }
-    },
-    xaxis: {
-        title: 'Budget (USD)',
-        tickformat: '$,.0f'
-    },
-    yaxis: {
-        title: 'Return on Investment (%)',
-        zeroline: true,
-        zerolinecolor: '#969696',
-        gridcolor: '#e1e1e1'
-    },
-    paper_bgcolor: 'rgba(0,0,0,0)',
-    plot_bgcolor: 'rgba(0,0,0,0)',
-    hovermode: 'closest',
-    showlegend: false,
-    shapes: [{
-        type: 'line',
-        x0: 0,
-        x1: 200000000,
-        y0: 0,
-        y1: 0,
-        line: {
-            color: '#969696',
-            width: 1,
-            dash: 'dot'
-        }
-    }]
-};
-
-const config = {
-    responsive: true,
-    displayModeBar: false
-};
-
-Plotly.newPlot('budget-roi-plot', [trace], layout, config);
-</script>
diff --git a/_includes/plotly/visualization3.html b/_includes/plotly/visualization3.html
deleted file mode 100644
index ddd56d5..0000000
--- a/_includes/plotly/visualization3.html
+++ /dev/null
@@ -1,65 +0,0 @@
-<div id="budget-roi-plot"></div>
-<script>
-// Sample data
-const budgets = Array.from({length: 100}, () => Math.random() * 200000000);
-const rois = budgets.map(b => (Math.random() - 0.5) * 300);
-const movieNames = budgets.map((_, i) => `Movie ${i+1}`);
-
-const trace = {
-    x: budgets,
-    y: rois,
-    mode: 'markers',
-    type: 'scatter',
-    text: movieNames,
-    marker: {
-        size: 10,
-        color: rois.map(roi => roi < 0 ? '#ff6b6b' : '#4ecdc4'),
-        opacity: 0.7
-    },
-    hovertemplate: 
-        '<b>%{text}</b><br>' +
-        'Budget: $%{x:,.0f}<br>' +
-        'ROI: %{y:.1f}%<br>' +
-        '<extra></extra>'
-};
-
-const layout = {
-    title: {
-        text: 'Movie Budgets vs Return on Investment',
-        font: { size: 24 }
-    },
-    xaxis: {
-        title: 'Budget (USD)',
-        tickformat: '$,.0f'
-    },
-    yaxis: {
-        title: 'Return on Investment (%)',
-        zeroline: true,
-        zerolinecolor: '#969696',
-        gridcolor: '#e1e1e1'
-    },
-    paper_bgcolor: 'rgba(0,0,0,0)',
-    plot_bgcolor: 'rgba(0,0,0,0)',
-    hovermode: 'closest',
-    showlegend: false,
-    shapes: [{
-        type: 'line',
-        x0: 0,
-        x1: 200000000,
-        y0: 0,
-        y1: 0,
-        line: {
-            color: '#969696',
-            width: 1,
-            dash: 'dot'
-        }
-    }]
-};
-
-const config = {
-    responsive: true,
-    displayModeBar: false
-};
-
-Plotly.newPlot('budget-roi-plot', [trace], layout, config);
-</script>
diff --git a/_includes/plotly/visualization4.html b/_includes/plotly/visualization4.html
deleted file mode 100644
index ddd56d5..0000000
--- a/_includes/plotly/visualization4.html
+++ /dev/null
@@ -1,65 +0,0 @@
-<div id="budget-roi-plot"></div>
-<script>
-// Sample data
-const budgets = Array.from({length: 100}, () => Math.random() * 200000000);
-const rois = budgets.map(b => (Math.random() - 0.5) * 300);
-const movieNames = budgets.map((_, i) => `Movie ${i+1}`);
-
-const trace = {
-    x: budgets,
-    y: rois,
-    mode: 'markers',
-    type: 'scatter',
-    text: movieNames,
-    marker: {
-        size: 10,
-        color: rois.map(roi => roi < 0 ? '#ff6b6b' : '#4ecdc4'),
-        opacity: 0.7
-    },
-    hovertemplate: 
-        '<b>%{text}</b><br>' +
-        'Budget: $%{x:,.0f}<br>' +
-        'ROI: %{y:.1f}%<br>' +
-        '<extra></extra>'
-};
-
-const layout = {
-    title: {
-        text: 'Movie Budgets vs Return on Investment',
-        font: { size: 24 }
-    },
-    xaxis: {
-        title: 'Budget (USD)',
-        tickformat: '$,.0f'
-    },
-    yaxis: {
-        title: 'Return on Investment (%)',
-        zeroline: true,
-        zerolinecolor: '#969696',
-        gridcolor: '#e1e1e1'
-    },
-    paper_bgcolor: 'rgba(0,0,0,0)',
-    plot_bgcolor: 'rgba(0,0,0,0)',
-    hovermode: 'closest',
-    showlegend: false,
-    shapes: [{
-        type: 'line',
-        x0: 0,
-        x1: 200000000,
-        y0: 0,
-        y1: 0,
-        line: {
-            color: '#969696',
-            width: 1,
-            dash: 'dot'
-        }
-    }]
-};
-
-const config = {
-    responsive: true,
-    displayModeBar: false
-};
-
-Plotly.newPlot('budget-roi-plot', [trace], layout, config);
-</script>
diff --git a/assets/img/movie-analytics-bg.png b/assets/img/movie-analytics-bg.png
deleted file mode 100644
index 2570de6..0000000
Binary files a/assets/img/movie-analytics-bg.png and /dev/null differ
diff --git a/assets/img/movie-failure-bg.svg b/assets/img/movie-failure-bg.svg
deleted file mode 100644
index 408bc01..0000000
--- a/assets/img/movie-failure-bg.svg
+++ /dev/null
@@ -1,21 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 800 400">
-  <defs>
-    <pattern id="filmstrip" width="100" height="50" patternUnits="userSpaceOnUse">
-      <rect width="90" height="40" x="5" y="5" fill="rgba(0,0,0,0.1)" rx="5"/>
-      <circle cx="20" cy="25" r="5" fill="rgba(0,0,0,0.2)"/>
-      <circle cx="80" cy="25" r="5" fill="rgba(0,0,0,0.2)"/>
-    </pattern>
-    <linearGradient id="darkgrad" x1="0%" y1="0%" x2="100%" y2="100%">
-      <stop offset="0%" style="stop-color:#2c3e50;stop-opacity:1" />
-      <stop offset="100%" style="stop-color:#c0392b;stop-opacity:1" />
-    </linearGradient>
-  </defs>
-  
-  <!-- Background -->
-  <rect width="100%" height="100%" fill="url(#darkgrad)"/>
-  <rect width="100%" height="100%" fill="url(#filmstrip)"/>
-  
-  <!-- Broken film elements -->
-  <path d="M600 100 Q 650 150 700 100" stroke="rgba(255,255,255,0.2)" fill="none" stroke-width="3"/>
-  <path d="M100 300 Q 150 350 200 300" stroke="rgba(255,255,255,0.2)" fill="none" stroke-width="3"/>
-</svg>
diff --git a/assets/img/popcorn-spill.jpg b/assets/img/popcorn-spill.jpg
deleted file mode 100644
index 68d6b11..0000000
Binary files a/assets/img/popcorn-spill.jpg and /dev/null differ
diff --git a/index.md b/index.md
index a720b08..8578c0e 100644
--- a/index.md
+++ b/index.md
@@ -1,148 +1,71 @@
 ---
-layout: post
-title: "🎬 Decoding Box-Office Bombs"
-subtitle: "A Data Science Journey Through 42,000 Failed Films"
-cover-img: "/assets/img/movie-analytics-bg.png"
-thumbnail-img: "/assets/img/popcorn-spill.jpg"
-share-img: "/assets/img/movie-analytics-bg.png"
-tags: [data-analysis, movies, EPFL]
+layout: page
+title: "🎬 Box Office Bombs: A Data Detective Story"
+subtitle: "Unraveling the DNA of Failed Films"
 ---
 
-<style>
-.section-divider {
-    text-align: center;
-    margin: 40px 0;
-    font-size: 24px;
-    color: #666;
-}
-
-.stat-box {
-    background: rgba(255,255,255,0.9);
-    border-radius: 8px;
-    padding: 20px;
-    margin: 20px 0;
-    box-shadow: 0 4px 6px rgba(0,0,0,0.1);
-}
-
-.plotly-container {
-    background: white;
-    padding: 20px;
-    border-radius: 8px;
-    box-shadow: 0 2px 15px rgba(0,0,0,0.1);
-    margin: 30px 0;
-}
-
-.team-section {
-    display: flex;
-    flex-wrap: wrap;
-    justify-content: space-around;
-    margin: 40px 0;
-}
-
-.team-member {
-    text-align: center;
-    margin: 15px;
-    flex: 0 1 200px;
-}
-
-.highlight-text {
-    background: linear-gradient(120deg, #ff9a9e 0%, #fad0c4 100%);
-    padding: 3px 8px;
-    border-radius: 4px;
-    color: #333;
-}
-</style>
-
-# 🔍 The Investigation
-
-Ever wondered why some movies fail spectacularly at the box office? We're diving deep into the data of 42,000+ films to uncover the DNA of box office bombs. Think of us as cinematic forensics experts, analyzing everything from ill-fated release dates to questionable casting choices.
-
-<div class="section-divider">🎬</div>
-
-## The Evidence at a Glance
-
-<div class="stat-box">
-- 📊 42,000+ movies analyzed
-- 💰 Billions in box office data
-- 🎭 30,000+ narrative tropes examined
-- 🌍 Global release patterns studied
-</div>
+# Welcome to the Movie Morgue 🔍
 
-## The Money Trail 💸
+Ever wondered why some movies crash and burn at the box office? We're not just talking about obvious flops - we're diving deep into the DNA of over 42,000 films to conduct a proper cinematic autopsy. 
 
-When movies go wrong, they go wrong big. Our analysis reveals some fascinating patterns in the relationship between budgets and box office performance.
+## The Case File 📁
 
-<div class="plotly-container">
-{% include plotly/visualization1.html %}
-</div>
+Our investigation covers everything from ill-fated release dates to questionable casting choices. Using state-of-the-art data analysis, we're examining:
 
-## Cast & Crew: The Usual Suspects 🎭
+- 💰 **The Money Trail**: How much cash went up in smoke?
+- 🎭 **The Usual Suspects**: Are certain actors and directors repeat offenders?
+- 📅 **The Timeline**: Does releasing your vampire romance during Christmas spell doom?
+- 📖 **The Plot Thickens**: Which story tropes should come with a warning label?
 
-Our data reveals surprising patterns in how cast diversity and director track records influence a movie's fate.
+## Key Evidence 🔍
 
-<div class="plotly-container">
-{% include plotly/visualization2.html %}
+<div class="plotly-visualization">
+  {% include plotly/visualization1.html %}
 </div>
 
-## The Perfect Storm: Release Timing ⏰
+*Interactive visualization showing the relationship between budget and ROI*
 
-Some release dates are deadlier than others. Here's what we found about timing and movie failures.
+### The Diversity Deficit
+Our analysis reveals some surprising patterns in casting choices and box office performance.
 
-<div class="plotly-container">
-{% include plotly/visualization3.html %}
-</div>
+[PLOTLY-VISUALIZATION-2]
+*Interactive visualization of cast diversity metrics vs. movie success*
 
-## Plot Patterns: The Story Autopsy 📚
+### The Director's Curse
+Some directors seem to have a knack for picking problematic projects...
 
-We've identified the most toxic combinations of plot tropes that spell disaster for films.
+[PLOTLY-VISUALIZATION-3]
+*Interactive visualization of director track records*
 
-<div class="plotly-container">
-{% include plotly/visualization4.html %}
-</div>
+### Genre Graveyards
+Certain genres are more likely to fail in specific seasons...
 
-<div class="section-divider">🎥</div>
+[PLOTLY-VISUALIZATION-4]
+*Interactive visualization of genre performance by release timing*
 
-## The Investigation Team
+## Behind the Investigation 🕵️
 
-<div class="team-section">
-<div class="team-member">
-    <h3>JX</h3>
-    <p>The Financial Forensics Expert</p>
-</div>
-<div class="team-member">
-    <h3>RL</h3>
-    <p>The Market Pattern Analyst</p>
-</div>
-<div class="team-member">
-    <h3>RW</h3>
-    <p>The Director Profiler</p>
-</div>
-<div class="team-member">
-    <h3>AZ</h3>
-    <p>The Plot Pattern Specialist</p>
-</div>
-<div class="team-member">
-    <h3>AO</h3>
-    <p>The Plot Pattern Specialist</p>
-</div>
-</div>
+This project is part of the Applied Data Analysis course at EPFL. We've analyzed:
+- 42,000+ movie plots from Wikipedia
+- Cast and crew data from IMDb
+- 30,000+ narrative tropes
+- Box office numbers that would make studio executives cry
 
-<div class="section-divider">🎬</div>
+[PLOTLY-VISUALIZATION-5]
+*Interactive visualization of trope combinations and their impact on ratings*
 
-## Methodology & Data
+## The Investigators 🧑‍🔬
 
-This investigation combines data from multiple sources:
-- Wikipedia plot summaries
-- IMDb ratings and metadata
-- TV Tropes narrative patterns
-- Box office performance data
+Meet the data detectives behind this cinematic investigation:
+- JX: The Financial Forensics Expert
+- RL: The Market Pattern Analyst
+- RW: The Director Profiler
+- AZ & AO: The Plot Pattern Specialists
 
-Our analysis employs advanced statistical methods including:
-- Financial performance clustering
-- Demographic analysis
-- Temporal pattern recognition
-- Natural language processing for plot analysis
+## Want to Know More? 
+
+Check out our [detailed analysis](/analysis) or dive into our [methodology](/methods).
+
+---
 
-<div class="highlight-text">
-Project for the Applied Data Analysis course at EPFL, Fall 2024
-</div>
\ No newline at end of file
+*This is an ongoing investigation. Last updated: November 2024*
\ No newline at end of file