Cristhian is my hero, sometimes

100%

Cristhian is my hero, sometimes

✓ Published0🌍 Public

Last edited Dec 12, 2018

Created on Dec 11, 2018

This example visualizes the command-line workflow of setting up Docker, installing Docker Compose, and launching a WordPress container, tracing the sequence of terminal actions and system responses. The data comes from a shell history log rendered as a chronological timeline of commands and outputs. The visualization uses d3.forceSimulation to layout nodes representing individual commands, with links showing dependencies between steps, while d3.scaleTime maps timestamps to a horizontal axis. Colors distinguish command types (installation, file management, container control), and d3.axisBottom provides the temporal reference grid.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 3d7ff1d83fb2177cedceded587ff4aca

This example presents a setup guide for a Docker-based Node.js workshop, illustrating how to launch a project from a Bitbucket-hosted configuration. It shows the command sequence, starting with copying a `docker-compose.yml` file from the provided URL and then running `docker compose up --build` to construct and start the container image. The visualization focuses on the workflow steps, highlighting the use of Docker Compose for service orchestration and image building. The interface displays the copied configuration link alongside the terminal command, making the process explicit for users. No additional data or rendering occurs beyond these instructional elements.

MMistyBlunch

64% match

Loading thumbnail…

Gist 45b1d0eee3b96bfbdd5d04e93a40048c

This chart visualizes Docker container states in a Windows environment, listing all containers pulled via `docker ps -a`. The visualization distinguishes running, stopped, and exited containers through an interactive matrix layout. The code relies on D3.js for rendering and animation, using `d3.forceSimulation` for node positioning and `d3.geoPath` for drawing container status paths. Data originates from the Docker command-line output, parsed and mapped to visual attributes such as color and shape. The example highlights container lifecycle management by presenting pull statuses in a compact, dynamically arranged grid.

MMistyBlunch

63% match

Loading thumbnail…

Gist 93f2b4ad88451cab624a50ea0da1d8dc

This example visualizes a simple command-line workflow for extracting and executing archived files in Linux, showing tar and sudo commands in a terminal-style interface. The visualization uses D3.js to render the text output, likely employing `d3.select` and `d3.text` to load and display the command results. It presents a static, sequential display of terminal commands and their outputs, with no interactive elements beyond the initial rendering. The data is hardcoded as a plain text string containing the shell commands and their expected responses, and the code uses D3’s selection and text manipulation methods to place the content on the page.

MMistyBlunch

62% match

Loading thumbnail…

Gist 1487e9082b7aaf6a45007d66fc0a7697

This example demonstrates a terminal-based workflow for running an Ubuntu Docker container on a Windows host. The visualization is a step-by-step textual tutorial, not a graphical chart, showing the commands necessary to pull the official Ubuntu image from Docker Hub and execute it interactively. The code relies on the Docker command-line interface and `winpty` utility to facilitate a pseudo-terminal session, with the primary command being `winpty docker run -i -t ubuntu bash`. The output presents the three required steps as a simple, linear sequence, with the final step noting the interactive shell session is ready for use.

MMistyBlunch

61% match

Loading thumbnail…

Gist 37128af71824779d01db3758902ca8ed

This example visualizes the installation steps for Node.js on Ubuntu using a procedural, code-driven diagram. It presents a sequence of terminal commands and system prompts as a branching flowchart, with nodes representing actions like `sudo apt install nodejs` and verification steps like `node -v`. The visualization uses D3.js to render the graph, likely employing `d3.forceSimulation` for node positioning and SVG elements for drawing links and labels. The code also relies on standard D3 selection and data-binding methods to map the command list into a structured network, highlighting the order and dependencies between installation phases.

MMistyBlunch

60% match

Loading thumbnail…

Gist ef922100e5c3d57bc49a219fb2623ccd

This example visualizes a collection of Linux command-line tips, presenting each command as a tile with its syntax and a brief explanation. It uses a force-directed graph layout via `d3.forceSimulation` to position the command tiles, which are rendered as HTML elements. The code filters and displays the data based on user interaction, highlighting commands that match a search term. The visualization is built with D3.js and demonstrates how to map textual data into an interactive, spatially organized interface.

MMistyBlunch

59% match

Loading thumbnail…

Gist 987ce21f44be30e78ba0241dc9e8596c

This visualization presents an interactive network graph of dependencies and references extracted from a Gist, illustrating connections between documentation links and Docker-related resources. The code uses D3.js with `d3.forceSimulation` to position nodes, employing force-directed physics for layout, while SVG elements render the nodes and links. The graph displays labeled nodes with varying sizes, likely reflecting connection degree, and colors that differentiate categories such as source, Docker documentation, and Stack Exchange threads. The data originates from a hardcoded JSON structure in the Gist, and the visualization responds to drag interactions, allowing users to explore the relational structure of the cited materials.

MMistyBlunch

59% match

Loading thumbnail…

Docker nodejs

This example visualizes the build process of a Dockerized Node.js application, using a textual flowchart style. The code defines a Dockerfile that starts from the `node:alpine` base image, sets a working directory, copies `package.json`, runs `npm install`, and copies the rest of the source code before launching via `npm start`. The visualization highlights the sequence of filesystem and dependency operations, showing how the official Node.js API and npm commands construct the container image layer by layer.

HHuyAms

58% match