Changed around line 1
+ # pvalue1.scroll.pub
+
+ Prompt: website
+ Agent: deepseek
+ Model: deepseek-chat
+
+ ## User prompt
+ The **P-Value Integrity Hub** is a single-page CRUD (Create, Read, Update, Delete) application designed to help researchers manage and analyze their datasets, focusing on addressing the misuse of p-values in scientific research. Here's a step-by-step description of how users interact with the application: 1. **User Access and Authentication**: - Users begin by accessing the application through a web browser. - They log in or sign up to create an account, ensuring secure access to their datasets and analyses. 2. **Creating a New Dataset**: - **Upload Data**: Users can create a new dataset by uploading a file (e.g., CSV, Excel) through a drag-and-drop interface or by manually entering data into a form. - **Data Validation**: The application validates the data format and structure upon upload, ensuring compatibility with the analysis tools. - **Storage**: Once validated, the dataset is sent to the backend and stored in the MongoDB database. 3. **Reading and Exploring Datasets**: - **Data View**: Users can view their uploaded datasets in a tabular format. The interface allows for dynamic filtering, sorting, and searching to explore specific data points. - **Visualization**: Users can generate graphs and charts to visualize data distributions and trends. Visualizations are interactive, allowing users to customize views and highlight specific data points. 4. **Updating Datasets**: - **Edit Data**: Users can update existing datasets by editing individual data points or adding new entries. - **Version Control**: The application tracks changes using version control, allowing users to revert to previous versions if needed. - **Real-Time Sync**: Changes are synchronized in real-time, ensuring that all collaborators have access to the most up-to-date information. 5. **Analyzing Data for P-Value Misuse**: - **Automated Analysis**: Upon dataset upload or update, the backend automatically analyzes the data for potential p-value misuses, such as p-hacking and uncorrected multiple comparisons. - **Feedback**: The analysis results are displayed in the interface, providing users with real-time feedback and recommendations for improving their statistical practices. 6. **Deleting Datasets**: - **Remove Data**: Users can delete entire datasets or specific data points. The application includes safeguards to prevent accidental deletions, such as confirmation prompts. - **Audit Trail**: Deletions are logged in an audit trail, maintaining a transparent record of all data interactions. 7. **Collaboration and Sharing**: - **Invite Collaborators**: Users can invite colleagues to collaborate on datasets and analyses. Collaborators can view and edit data in real-time. - **Export Results**: Users can export visualizations and analysis reports in publication-ready formats, ensuring consistency and professionalism in research communications. 8. **Pre-Registration and Transparency**: - **Register Study Designs**: Users can pre-register study designs and analysis plans before data collection begins, promoting transparency and reducing the risk of p-hacking. - **Audit Trails**: The application maintains a complete audit trail of all data interactions, providing a transparent record of changes and analyses performed. 9. **Educational Support**: - **Access Resources**: Users can access a library of tutorials and guides directly within the application, providing them with the knowledge needed to understand and correctly use p-values. - **Contextual Guidance**: Tooltips and hints offer real-time guidance, helping users navigate complex statistical concepts with ease.
+
+ ## System prompt
+ You are an expert web developer. Create a website based on this request: "The **P-Value Integrity Hub** is a single-page CRUD (Create, Read, Update, Delete) application designed to help researchers manage and analyze their datasets, focusing on addressing the misuse of p-values in scientific research. Here's a step-by-step description of how users interact with the application: 1. **User Access and Authentication**: - Users begin by accessing the application through a web browser. - They log in or sign up to create an account, ensuring secure access to their datasets and analyses. 2. **Creating a New Dataset**: - **Upload Data**: Users can create a new dataset by uploading a file (e.g., CSV, Excel) through a drag-and-drop interface or by manually entering data into a form. - **Data Validation**: The application validates the data format and structure upon upload, ensuring compatibility with the analysis tools. - **Storage**: Once validated, the dataset is sent to the backend and stored in the MongoDB database. 3. **Reading and Exploring Datasets**: - **Data View**: Users can view their uploaded datasets in a tabular format. The interface allows for dynamic filtering, sorting, and searching to explore specific data points. - **Visualization**: Users can generate graphs and charts to visualize data distributions and trends. Visualizations are interactive, allowing users to customize views and highlight specific data points. 4. **Updating Datasets**: - **Edit Data**: Users can update existing datasets by editing individual data points or adding new entries. - **Version Control**: The application tracks changes using version control, allowing users to revert to previous versions if needed. - **Real-Time Sync**: Changes are synchronized in real-time, ensuring that all collaborators have access to the most up-to-date information. 5. **Analyzing Data for P-Value Misuse**: - **Automated Analysis**: Upon dataset upload or update, the backend automatically analyzes the data for potential p-value misuses, such as p-hacking and uncorrected multiple comparisons. - **Feedback**: The analysis results are displayed in the interface, providing users with real-time feedback and recommendations for improving their statistical practices. 6. **Deleting Datasets**: - **Remove Data**: Users can delete entire datasets or specific data points. The application includes safeguards to prevent accidental deletions, such as confirmation prompts. - **Audit Trail**: Deletions are logged in an audit trail, maintaining a transparent record of all data interactions. 7. **Collaboration and Sharing**: - **Invite Collaborators**: Users can invite colleagues to collaborate on datasets and analyses. Collaborators can view and edit data in real-time. - **Export Results**: Users can export visualizations and analysis reports in publication-ready formats, ensuring consistency and professionalism in research communications. 8. **Pre-Registration and Transparency**: - **Register Study Designs**: Users can pre-register study designs and analysis plans before data collection begins, promoting transparency and reducing the risk of p-hacking. - **Audit Trails**: The application maintains a complete audit trail of all data interactions, providing a transparent record of changes and analyses performed. 9. **Educational Support**: - **Access Resources**: Users can access a library of tutorials and guides directly within the application, providing them with the knowledge needed to understand and correctly use p-values. - **Contextual Guidance**: Tooltips and hints offer real-time guidance, helping users navigate complex statistical concepts with ease."
+
+ 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---