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Exploring-Datasets

This repository holds all the datasets I'm currently exploring or have explored

Google App Store Dataset :

Dataset includes two files:

  1. An overview of the applications on Google Play Store.
  2. Individual reviews of applications and it's sentiment(postive/negative).

My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store.

Olympics Dataset :

Dataset includes two files:

  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.)
  2. The region information

So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics.

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This repository holds all the datasets I'm currently exploring or have explored

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
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} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - knjiang/Exploring-Datasets: This repository holds all the datasets I'm currently exploring or have explored · GitHub
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Repository files navigation
Exploring-Datasets
This repository holds all the datasets I'm currently exploring or have explored
Google App Store Dataset  :
Dataset includes two files:
  1. An overview of the applications on Google Play Store. 
  2. Individual reviews of applications and it's sentiment(postive/negative).


My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store. 
Olympics Dataset  :
Dataset includes two files:
  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.) 
  2. The region information


So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics. 
About
This repository holds all the datasets I'm currently exploring or have explored 
Resources
Readme
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0 stars
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - knjiang/Exploring-Datasets: This repository holds all the datasets I'm currently exploring or have explored · GitHub
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Olympics_.ipynb
Olympics_.ipynb
README.md
README.md
Repository files navigation
Exploring-Datasets
This repository holds all the datasets I'm currently exploring or have explored
Google App Store Dataset  :
Dataset includes two files:
  1. An overview of the applications on Google Play Store. 
  2. Individual reviews of applications and it's sentiment(postive/negative).


My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store. 
Olympics Dataset  :
Dataset includes two files:
  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.) 
  2. The region information


So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics. 
About
This repository holds all the datasets I'm currently exploring or have explored 
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
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}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - knjiang/Exploring-Datasets: This repository holds all the datasets I'm currently exploring or have explored · GitHub
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GooglePlayEDA.ipynb
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Olympics_.ipynb
Olympics_.ipynb
README.md
README.md
Repository files navigation
Exploring-Datasets
This repository holds all the datasets I'm currently exploring or have explored
Google App Store Dataset  :
Dataset includes two files:
  1. An overview of the applications on Google Play Store. 
  2. Individual reviews of applications and it's sentiment(postive/negative).


My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store. 
Olympics Dataset  :
Dataset includes two files:
  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.) 
  2. The region information


So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics. 
About
This repository holds all the datasets I'm currently exploring or have explored 
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
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Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - knjiang/Exploring-Datasets: This repository holds all the datasets I'm currently exploring or have explored · GitHub
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GooglePlayEDA.ipynb
GooglePlayML.ipynb
GooglePlayML.ipynb
Olympics_.ipynb
Olympics_.ipynb
README.md
README.md
Repository files navigation
Exploring-Datasets
This repository holds all the datasets I'm currently exploring or have explored
Google App Store Dataset  :
Dataset includes two files:
  1. An overview of the applications on Google Play Store. 
  2. Individual reviews of applications and it's sentiment(postive/negative).


My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store. 
Olympics Dataset  :
Dataset includes two files:
  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.) 
  2. The region information


So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics. 
About
This repository holds all the datasets I'm currently exploring or have explored 
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - knjiang/Exploring-Datasets: This repository holds all the datasets I'm currently exploring or have explored · GitHub
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GooglePlayML.ipynb
Olympics_.ipynb
Olympics_.ipynb
README.md
README.md
Repository files navigation
Exploring-Datasets
This repository holds all the datasets I'm currently exploring or have explored
Google App Store Dataset  :
Dataset includes two files:
  1. An overview of the applications on Google Play Store. 
  2. Individual reviews of applications and it's sentiment(postive/negative).


My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store. 
Olympics Dataset  :
Dataset includes two files:
  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.) 
  2. The region information


So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics. 
About
This repository holds all the datasets I'm currently exploring or have explored 
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - knjiang/Exploring-Datasets: This repository holds all the datasets I'm currently exploring or have explored · GitHub
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GooglePlayEDA.ipynb
GooglePlayML.ipynb
GooglePlayML.ipynb
Olympics_.ipynb
Olympics_.ipynb
README.md
README.md
Repository files navigation
Exploring-Datasets
This repository holds all the datasets I'm currently exploring or have explored
Google App Store Dataset  :
Dataset includes two files:
  1. An overview of the applications on Google Play Store. 
  2. Individual reviews of applications and it's sentiment(postive/negative).


My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store. 
Olympics Dataset  :
Dataset includes two files:
  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.) 
  2. The region information


So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics. 
About
This repository holds all the datasets I'm currently exploring or have explored 
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - knjiang/Exploring-Datasets: This repository holds all the datasets I'm currently exploring or have explored · GitHub
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14 Commits
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NameName
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GooglePlayEDA.ipynb
GooglePlayML.ipynb
GooglePlayML.ipynb
Olympics_.ipynb
Olympics_.ipynb
README.md
README.md
Repository files navigation
Exploring-Datasets
This repository holds all the datasets I'm currently exploring or have explored
Google App Store Dataset  :
Dataset includes two files:
  1. An overview of the applications on Google Play Store. 
  2. Individual reviews of applications and it's sentiment(postive/negative).


My goal of the dataset is to try to find evidence that proves or disproves if fake reviews outnumber real reviews. At the end of my experiment, I will also recommend what I think could improve the review system on the Google Play Store. 
Olympics Dataset  :
Dataset includes two files:
  1. The information of every Olympian who has medalled in an event (Name,Nationality,Event,etc.) 
  2. The region information


So far, my goal of the dataset is to find what sports/events need early-age exposure and what sports/events don't. An example is Women's Swimming (400 metres Freestyle) where fourteen U14 swimmers have medalled in this event throughout the history of the Olympics. 
About
This repository holds all the datasets I'm currently exploring or have explored 
Resources
Readme
Activity
Stars
0 stars
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0 watching
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0 forks
Report repository
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