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:

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:

Write Better with Scroll

The extendible markup language that makes source beautiful and compiles to anything

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Simple Syntax

Like Markdown, but more powerful. No parentheses needed.

🧩

Extendible

Build your own custom parsers.

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Create stunning documents with minimal effort.

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Fast & Light

Built on the efficient PPS Stack.

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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---

(Title here)

(body content here. no blank lines please.)

---style.css---

(CSS content here)

---script.js---

(JavaScript content here)

---end---