index.scroll
Changed around line 1
+ buildHtml
+ baseUrl https://pvalueintegrity.scroll.pub
+ metaTags
+ editButton /edit.html
+ title P-Value Integrity Hub
+ style.css
+
+ header
+ class hero
+ nav
+ div P-Value Integrity Hub
+ class logo
+ div
+ class nav-links
+ a Features
+ href #features
+ a Analysis
+ href #analysis
+ a Visualize
+ href #visualize
+ a Collaborate
+ class cta-button
+ href #collaborate
+ div
+ class hero-content
+ h1 Upholding Scientific Integrity
+ p A modern platform for managing, analyzing, and visualizing research data with p-value transparency
+ a Get Started
+ class primary-button
+ href #features
+ main
+ section
+ id features
+ class features
+ h2 Key Features
+ div
+ class feature-grid
+ div
+ class feature-card
+ div 📊
+ class feature-icon
+ h3 Data Management
+ p Upload, edit, and manage datasets with version control and safeguards
+ div
+ class feature-card
+ div 🔍
+ class feature-icon
+ h3 P-Value Analysis
+ p Detect and address p-value misuses with automated checks and recommendations
+ div
+ class feature-card
+ div 📈
+ class feature-icon
+ h3 Visualization Tools
+ p Create dynamic charts and graphs to explore your data
+ div
+ class feature-card
+ div 🤝
+ class feature-icon
+ h3 Collaboration
+ p Real-time collaboration and sharing with colleagues
+ section
+ id analysis
+ class analysis
+ h2 P-Value Analysis
+ div
+ class analysis-container
+ div
+ class analysis-content
+ h3 Automated Detection
+ p Our platform identifies common p-value misuses like p-hacking and multiple comparisons
+ div
+ class analysis-steps
+ div
+ class step
+ div 1
+ class step-number
+ p Upload your dataset
+ div
+ class step
+ div 2
+ class step-number
+ p Run automated checks
+ div
+ class step
+ div 3
+ class step-number
+ p Receive recommendations
+ section
+ id visualize
+ class visualize
+ h2 Data Visualization
+ div
+ class visualization-container
+ div
+ class chart-container
+ div
+ class chart-controls
+ button
+ class chart-button
+ Bar Chart
+ button
+ class chart-button
+ Scatter Plot
+ button
+ class chart-button
+ Histogram
+ section
+ id collaborate
+ class collaborate
+ h2 Collaborate & Share
+ div
+ class collaboration-container
+ div
+ class collaboration-content
+ h3 Real-Time Collaboration
+ p Work together with colleagues on datasets and analyses
+ div
+ class collaboration-features
+ div
+ class feature
+ div 📤
+ class feature-icon
+ p Export publication-ready reports
+ div
+ class feature
+ div 🔒
+ class feature-icon
+ p Maintain complete audit trails
+ div
+ class feature
+ div 📝
+ class feature-icon
+ p Pre-register study designs
+ footer
+ div
+ class footer-content
+ div
+ class footer-links
+ a Documentation
+ href /docs
+ a Tutorials
+ href /tutorials
+ a Contact
+ href /contact
+ p Empowering researchers to uphold scientific integrity
prompt.json
Changed around line 1
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readme.scroll
Changed around line 1
+ # pvalueintegrity.scroll.pub
+
+ Prompt: website
+ Agent: deepseek
+ Model: deepseek-chat
+
+ ## User prompt
+ P-Value Integrity Hub is a single-page web application designed to streamline the management, analysis, and visualization of research data, focusing on addressing the misuse of p-values in scientific research. This intuitive platform leverages modern web technologies to provide a seamless user experience, ensuring that researchers can easily maintain data integrity and transparency. Key Features: 1. Data Management (CRUD Operations): Easily upload and store research datasets using a drag-and-drop interface or manual input. Supported file formats include CSV and Excel. Explore datasets with dynamic filtering, sorting, and search functionalities, all within a single, responsive interface. Edit datasets directly within the application. Version control tracks changes, allowing users to revert to previous versions if needed. Remove datasets or specific data points with built-in safeguards to prevent accidental deletions. 2. P-Value Analysis: The platform automatically analyzes datasets for potential p-value misuses, highlighting issues such as p-hacking and uncorrected multiple comparisons. Receive instant feedback and recommendations for improving statistical practices, directly within the application. 3. Visualization Tools: Generate dynamic graphs and charts to visualize data distributions, p-values, and effect sizes. Customize visualizations to highlight specific trends or outliers. Monitor the integrity of research data with centralized dashboards that provide an at-a-glance overview of multiple datasets. 4. Educational Resources: Access a library of tutorials and guides directly within the application, providing users with the knowledge needed to understand and correctly use p-values. Contextual tooltips and hints offer real-time guidance, helping users navigate complex statistical concepts with ease. 5. Collaboration and Sharing: Invite colleagues to collaborate on datasets and analyses in real-time. Changes are synchronized instantly, ensuring everyone is working with the most up-to-date information. Export graphs, charts, and reports in publication-ready formats, ensuring consistency and professionalism in research communications. 6. Pre-Registration and Transparency: Register study designs and analysis plans directly within the application, promoting transparency and reducing the risk of p-hacking. Maintain a complete audit trail of all data interactions, providing a transparent record of changes and analyses performed. Technology Stack: Built with React.js for a responsive and interactive user experience, ensuring smooth navigation and data visualization. Powered by Node.js and Express.js, providing robust and scalable performance. Utilizes MongoDB for flexible and efficient data storage. Integrates with libraries like D3.js and Chart.js for dynamic and interactive data visualizations. User Benefits: By identifying and addressing p-value misuses, researchers can ensure the integrity and reproducibility of their findings. Facilitates real-time collaboration among researchers, promoting shared understanding and best practices. Provides the knowledge and tools needed to understand and correctly apply statistical methods. P-Value Integrity Hub is designed to be an essential tool for researchers seeking to uphold the highest standards of data integrity and transparency. By offering a comprehensive suite of features within a single-page application, we aim to simplify the research process and restore confidence in scientific findings. Experience the future of scientific research with P-Value Integrity Hub.
+
+ ## System prompt
+ You are an expert web developer. Create a website based on this request: "P-Value Integrity Hub is a single-page web application designed to streamline the management, analysis, and visualization of research data, focusing on addressing the misuse of p-values in scientific research. This intuitive platform leverages modern web technologies to provide a seamless user experience, ensuring that researchers can easily maintain data integrity and transparency. Key Features: 1. Data Management (CRUD Operations): Easily upload and store research datasets using a drag-and-drop interface or manual input. Supported file formats include CSV and Excel. Explore datasets with dynamic filtering, sorting, and search functionalities, all within a single, responsive interface. Edit datasets directly within the application. Version control tracks changes, allowing users to revert to previous versions if needed. Remove datasets or specific data points with built-in safeguards to prevent accidental deletions. 2. P-Value Analysis: The platform automatically analyzes datasets for potential p-value misuses, highlighting issues such as p-hacking and uncorrected multiple comparisons. Receive instant feedback and recommendations for improving statistical practices, directly within the application. 3. Visualization Tools: Generate dynamic graphs and charts to visualize data distributions, p-values, and effect sizes. Customize visualizations to highlight specific trends or outliers. Monitor the integrity of research data with centralized dashboards that provide an at-a-glance overview of multiple datasets. 4. Educational Resources: Access a library of tutorials and guides directly within the application, providing users with the knowledge needed to understand and correctly use p-values. Contextual tooltips and hints offer real-time guidance, helping users navigate complex statistical concepts with ease. 5. Collaboration and Sharing: Invite colleagues to collaborate on datasets and analyses in real-time. Changes are synchronized instantly, ensuring everyone is working with the most up-to-date information. Export graphs, charts, and reports in publication-ready formats, ensuring consistency and professionalism in research communications. 6. Pre-Registration and Transparency: Register study designs and analysis plans directly within the application, promoting transparency and reducing the risk of p-hacking. Maintain a complete audit trail of all data interactions, providing a transparent record of changes and analyses performed. Technology Stack: Built with React.js for a responsive and interactive user experience, ensuring smooth navigation and data visualization. Powered by Node.js and Express.js, providing robust and scalable performance. Utilizes MongoDB for flexible and efficient data storage. Integrates with libraries like D3.js and Chart.js for dynamic and interactive data visualizations. User Benefits: By identifying and addressing p-value misuses, researchers can ensure the integrity and reproducibility of their findings. Facilitates real-time collaboration among researchers, promoting shared understanding and best practices. Provides the knowledge and tools needed to understand and correctly apply statistical methods. P-Value Integrity Hub is designed to be an essential tool for researchers seeking to uphold the highest standards of data integrity and transparency. By offering a comprehensive suite of features within a single-page application, we aim to simplify the research process and restore confidence in scientific findings. Experience the future of scientific research with P-Value Integrity Hub."
+
+ Requirements:
+ - Use only Scroll, CSS, and JavaScript (NO frameworks, NO external dependencies)
+ - Create clean, semantic HTML5
+ - Make it mobile-responsive
+ - Follow modern best practices and accessibility guidelines
+ - Keep it simple but professional
+ - Use only relative links and no external resources
+ - Do not put a copyright symbol or all rights reserved in the footer.
+ - Make it beautiful. Dazzling. Advanced used of CSS.
+
+ As a refresher, for doing the html body, Scroll is a whitespace based language that uses a single indented space to mark a line (aka particle) as a subparticle of a parent line.
+
+ For example:
+
+ header
+ class hero
+ nav
+ div Scroll
+ class logo
+ div
+ class nav-links
+ a Features
+ href #features
+ a Examples
+ href #examples
+ a Edit
+ href edit.html
+ a GitHub
+ class cta-button
+ href https://github.com/breck7/scroll
+ div
+ class hero-content
+ h1 Write Better with Scroll
+ p The extendible markup language that makes source beautiful and compiles to anything
+ a Get Started
+ class primary-button
+ href https://hub.scroll.pub/
+ main
+ section
+ id features
+ class features
+ h2 Why Scroll?
+ div
+ class feature-grid
+ div
+ class feature-card
+ div ⚡
+ class feature-icon
+ h3 Simple Syntax
+ p Like Markdown, but more powerful. No parentheses needed.
+ div
+ class feature-card
+ div 🧩
+ class feature-icon
+ h3 Extendible
+ p Build your own custom parsers.
+ div
+ class feature-card
+ div 🎨
+ class feature-icon
+ h3 Beautiful Output
+ p Create stunning documents with minimal effort.
+ div
+ class feature-card
+ div 🚀
+ class feature-icon
+ h3 Fast & Light
+ p Built on the efficient PPS Stack.
+ section
+ id examples
+ class code-demo
+ h2 See It In Action
+ div
+ class code-container
+ pre
+ class code-example
+ div
+ class code-output
+ footer
+ div
+ class footer-content
+ div
+ class footer-links
+ a Documentation
+ href https://scroll.pub/tutorial.html
+ a Community
+ href https://www.reddit.com/r/WorldWideScroll/
+ a Blog
+ href https://scroll.pub/blog
+ p Started by Breck Yunits. Evolved by a community.
+ https://twitter.com/breckyunits Breck Yunits
+ https://github.com/breck7/scroll/graphs/contributors community
+
+
+ First suggest a short, memorable domain name ending in scroll.pub that represents this website. Then provide the website files. Use this exact format:
+
+ ---domain---
+ (domainscroll.pub here)
+ ---index.scroll---
+ buildHtml
+ baseUrl https://(domainscroll.pub here)
+ metaTags
+ editButton /edit.html
+ title (Title here)
+ style.css
+
+ (body content here. no blank lines please.)
+
+ script.js
+ ---style.css---
+ (CSS content here)
+ ---script.js---
+ (JavaScript content here)
+ ---end---
script.js
Changed around line 1
+ // Chart data
+ const chartData = {
+ bar: [12, 19, 3, 5, 2, 3],
+ scatter: [
+ {x: 10, y: 20},
+ {x: 15, y: 10},
+ {x: 20, y: 30},
+ {x: 25, y: 15},
+ {x: 30, y: 25}
+ ],
+ histogram: [1, 2, 2, 3, 3, 3, 4, 4, 5]
+ };
+
+ // Chart container
+ const chartContainer = document.querySelector('.chart-container');
+
+ // Chart buttons
+ const chartButtons = document.querySelectorAll('.chart-button');
+
+ // Initialize chart
+ let currentChart = 'bar';
+
+ // Function to render chart
+ function renderChart(type) {
+ chartContainer.innerHTML = '';
+
+ if (type === 'bar') {
+ const maxValue = Math.max(...chartData.bar);
+ chartData.bar.forEach(value => {
+ const bar = document.createElement('div');
+ bar.style.height = `${(value / maxValue) * 100}%`;
+ bar.classList.add('chart-bar');
+ chartContainer.appendChild(bar);
+ });
+ } else if (type === 'scatter') {
+ chartData.scatter.forEach(point => {
+ const dot = document.createElement('div');
+ dot.style.left = `${point.x}%`;
+ dot.style.bottom = `${point.y}%`;
+ dot.classList.add('chart-dot');
+ chartContainer.appendChild(dot);
+ });
+ } else if (type === 'histogram') {
+ const maxValue = Math.max(...chartData.histogram);
+ chartData.histogram.forEach(value => {
+ const bar = document.createElement('div');
+ bar.style.height = `${(value / maxValue) * 100}%`;
+ bar.classList.add('chart-bar');
+ chartContainer.appendChild(bar);
+ });
+ }
+ }
+
+ // Add event listeners to chart buttons
+ chartButtons.forEach(button => {
+ button.addEventListener('click', () => {
+ currentChart = button.textContent.toLowerCase().replace(' ', '-');
+ renderChart(currentChart);
+ });
+ });
+
+ // Initial render
+ renderChart(currentChart);
style.css
Changed around line 1
+ :root {
+ --primary-color: #1a73e8;
+ --secondary-color: #34a853;
+ --background-color: #f8f9fa;
+ --text-color: #202124;
+ --card-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+ }
+
+ body {
+ font-family: 'Segoe UI', system-ui, sans-serif;
+ line-height: 1.6;
+ color: var(--text-color);
+ background-color: var(--background-color);
+ margin: 0;
+ padding: 0;
+ }
+
+ .hero {
+ background: linear-gradient(135deg, var(--primary-color), var(--secondary-color));
+ color: white;
+ padding: 4rem 2rem;
+ text-align: center;
+ }
+
+ .nav-links {
+ display: flex;
+ justify-content: center;
+ gap: 2rem;
+ margin-top: 1rem;
+ }
+
+ .cta-button {
+ background: white;
+ color: var(--primary-color);
+ padding: 0.5rem 1rem;
+ border-radius: 4px;
+ text-decoration: none;
+ font-weight: 600;
+ }
+
+ .feature-grid {
+ display: grid;
+ grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+ gap: 2rem;
+ padding: 2rem;
+ }
+
+ .feature-card {
+ background: white;
+ padding: 2rem;
+ border-radius: 8px;
+ box-shadow: var(--card-shadow);
+ text-align: center;
+ }
+
+ .feature-icon {
+ font-size: 2.5rem;
+ margin-bottom: 1rem;
+ }
+
+ .analysis-steps {
+ display: flex;
+ justify-content: space-around;
+ margin: 2rem 0;
+ }
+
+ .step {
+ text-align: center;
+ }
+
+ .step-number {
+ background: var(--primary-color);
+ color: white;
+ width: 3rem;
+ height: 3rem;
+ border-radius: 50%;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ margin: 0 auto 1rem;
+ font-size: 1.5rem;
+ font-weight: bold;
+ }
+
+ .chart-container {
+ width: 100%;
+ height: 400px;
+ background: white;
+ border-radius: 8px;
+ box-shadow: var(--card-shadow);
+ margin: 2rem 0;
+ }
+
+ .chart-controls {
+ display: flex;
+ justify-content: center;
+ gap: 1rem;
+ margin-bottom: 2rem;
+ }
+
+ .chart-button {
+ background: var(--primary-color);
+ color: white;
+ border: none;
+ padding: 0.5rem 1rem;
+ border-radius: 4px;
+ cursor: pointer;
+ }
+
+ .footer-content {
+ background: var(--text-color);
+ color: white;
+ padding: 2rem;
+ text-align: center;
+ }
+
+ .footer-links {
+ display: flex;
+ justify-content: center;
+ gap: 2rem;
+ margin-bottom: 1rem;
+ }
+
+ @media (max-width: 768px) {
+ .nav-links {
+ flex-direction: column;
+ gap: 1rem;
+ }
+
+ .feature-grid {
+ grid-template-columns: 1fr;
+ }
+
+ .analysis-steps {
+ flex-direction: column;
+ gap: 2rem;
+ }
+ }