Gist b6c258b7c09ccb96a67aa1333d6b430d

100%

Gist b6c258b7c09ccb96a67aa1333d6b430d

✓ Published0🌍 Public

Last edited Dec 14, 2016

Created on Dec 14, 2016

This example is a Markdown document outlining threat modeling for online privacy, organized as a structured set of questions and linked resources. It is not a graphical visualization, but rather a text-based reference compiled from sources like the Electronic Frontier Foundation (EFF) and WikiWand. The content lists steps for assessing data protection needs, potential attackers, and mitigation tools such as passwords, encryption, and VPNs. It uses plain Markdown formatting with headings, bullet lists, and hyperlinks, and does not implement any data visualization libraries or APIs.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 5abc1045894890074dba47be30e4c098

This visualization presents a structured classroom activity focused on data confidentiality and professional ethics for TICS students, displayed as a markdown-based instructional document. The example embeds a single high-resolution educational image and details a 50-minute lesson plan with interactive exercises, including role-playing scenarios and decision-making polls. It does not use JavaScript libraries or rendering APIs; instead, it relies on static HTML content and a self-contained markdown file with embedded images to convey the pedagogical workflow. The visual emphasizes clear textual organization and step-by-step guidance rather than dynamic data-driven graphics.

IIoTeacher

65% match

Loading thumbnail…

Gist fdb22d9ec25b96538814323e0609c895

The example is a curated markdown document that catalogs online resources for synthetic media, organized by categories such as synthetic text, voice, music, art, and gaming. It lists specific websites and tools, including thispersondoesnotexist.com, Hugging Face’s BERT, OpenAI’s GPT-3 and Jukebox, Descript, and AI Dungeon, with hyperlinks for each entry. The page is a static text file, not an interactive visualization, using no JavaScript libraries or rendering APIs. It functions as a reference list, showing the breadth of generative media platforms rather than demonstrating any particular code or chart.

CCliffordAnderson

63% match

Loading thumbnail…

Gist 06eb3b9bfe1484e90694e80ffb8694de

This example demonstrates how an educational activity on digital culture and ethics in customs processing can be structured as a visual guide. It shows a poster and brochure template that outlines responsible use of technology, identity security, and legal frameworks like the SAT and Ley Aduanera. The content uses a combination of text sections, bullet points, and embedded reference images to organize the material, including sections on phishing risks and ethical AI use. The rendering relies on static markdown with external image URLs rather than interactive data visualization, presenting the curriculum as a printable handout for classroom use.

IIoTeacher

63% match

Loading thumbnail…

Gist 897f4d908b88b38b8e6507100ec3cd3f

This example shows a cybersecurity prompt for ChatGPT, configuring an AI assistant named "ChavaSSH" to advise teenagers and young adults on digital safety. The text-based file demonstrates how to structure a detailed system prompt without visual encoding. It specifies the assistant's empathetic tone, core topics like phishing and deepfakes, and instruction to cite resources from INCIBE and UNICEF. The file is plain Markdown, with no libraries or rendering APIs involved, serving as a reference for crafting educational AI conversations.

IIoTeacher

62% match

Loading thumbnail…

Gist 1754332391eb199e5b29

This example shows three versions of a privacy policy for rcn.io as a side-by-side comparison of text documents. The visualization uses D3.js to render the text, with a focus on how the policy changes across versions, from a brief survey statement to a comprehensive legal document. The code applies D3’s layout and selection methods to position and style the text blocks, highlighting differences in length and content structure. The data is derived directly from the provided markdown files, displayed as raw text without additional transformation.

RRestuta

62% match

Loading thumbnail…

Gist d577c8303babf06f479a4ba7df562702

This example presents a checklist and rubric for a coding assessment, structured as a Markdown document. It uses GitHub-flavored Markdown syntax with task list items (`- [x]`) to track completion of steps for creating directories, making commits, pushing to GitHub, and building models. The document does not use any JavaScript visualization libraries or data APIs; instead, it relies on static Markdown formatting to display the rubric and checkboxes. It serves as a procedural guide, showing the assessment requirements and the author’s completed checkboxes.

LLelandCurtis

61% match

Loading thumbnail…

Gist 34f3e588a35b33357c08853c2370036b

This visualization catalogs AI tools and resources, organizing hundreds of links to libraries and APIs for foundation models, model development, vector databases, and multimodal systems. The layout groups entries by category—such as OpenAI function calling, Microsoft’s BitNet framework, and Hugging Face collections—using a hierarchical list format. It references tools like LM Studio for local deployment, Pyannote for speaker diarization, and Edge-TTS for text-to-speech, with GitHub repositories and documentation pages as primary sources. The rendering relies on standard Markdown headers and hyperlinks to create a browsable, text-based reference.

JJastor11

60% match

Loading thumbnail…

Resources for beginner-ish programmers

This visualization presents a markdown document listing resources for beginner programmers, curated by Eleonore9 on GitHub. It displays a series of links to tech talks from PyCon US 2015, each accompanied by a title and a brief topic label, such as “Systems programming” or “Neural networks.” The data originates from the shared gist file `resources-tech-talks.md`. The rendering approach is plain-text display, with no graphical or interactive elements; it simply shows the raw markdown content as a static list.

EEleonore9

60% match