URL list from Friday, Apr. 17 2015 12:42 PM

URL list from Monday, Apr. 27 2015 13:19 PM

This example renders a list of tweeted URLs from April 27, 2015, as a scrolling feed of text. It shows the raw Twitter posts and their embedded links in a plain, single-column layout, with each entry separated into a distinct block. The visualization uses D3’s `d3.select` and `d3.append` to build the DOM structure, binding the data from a Markdown file to create paragraphs and anchor tags. No external APIs or specialized rendering libraries are used; the focus is on presenting the text-based dataset directly.

90% match

URL list from Friday, Sep. 11 2015 11:14 AM

This example presents a chronological list of URLs shared on Twitter, sourced from a GitHub gist and captured on September 11, 2015. Each entry pairs a tweet’s text with its corresponding link, displayed as a static text document. The visualization relies on plain Markdown formatting to structure the list, with no interactive libraries or rendering algorithms involved. It simply organizes the raw tweet data into a readable, sequential inventory, highlighting the content and metadata of each shared link.

URL list from Monday, Oct. 5 2015 9:24 AM

This visualization displays a list of URLs shared on Twitter, collected on October 5, 2015. The page presents each link as a textual entry, sorted in reverse chronological order based on their timestamps. The rendering relies on a simple HTML list structure, with each item containing the tweet’s text and its corresponding URL. The visualization uses no external charting libraries; instead, it relies on plain HTML and CSS for layout, with the data sourced directly from a Gist file. The underlying code parses each tweet and displays it as a static, scrollable list.

URL list from Wednesday, Sep. 23 2015 12:54 PM

This example visualizes a collection of Twitter posts shared on September 23, 2015, as a manually compiled list of links and quoted text. Each tweet appears as a distinct node in a dense, multi-line text layout, preserving the original author, message, and embedded URL. The visualization uses the D3.js library to arrange these nodes, with the file’s Markdown source text serving as the data input. The rendering relies on D3’s selection and data-binding methods to create a readable, grid-like arrangement of linked content.

URL list from Monday, Sep. 21 2015 9:15 AM

This visualization is a text-based timeline of tweets collected on September 21, 2015, presented as a simple list of URLs and authors. It shows the raw data source directly, with each entry pairing a tweet's content with its corresponding link. The rendering relies on a static markdown file, displaying the information as plain text without any interactive or graphical elements. The piece does not employ any visualization libraries or APIs, instead offering a straightforward, unadorned record of the day's social media activity.

URL list from Friday, Feb. 26 2016 10:13 AM

This example compiles a Twitter-sourced URL list from February 26, 2016 into a structured document, showing a date-stamped collection of links shared by cartographers and data practitioners. The plain-text format presents each tweet alongside its original URL, preserving the chronological order of the timestamps. The visualization relies on the raw Markdown file as its data source, with no external JavaScript libraries or APIs in use—the content is displayed directly as a text listing. It highlights the social media context of the shared resources, including the authors’ usernames and their comments, without any interactive or graphical enhancements.

URL list from Thursday, Dec. 17 2015 8:13 AM

This example compiles a list of URLs shared on Twitter and other sources on December 17, 2015, capturing links to map-related projects, design articles, and news stories. The visualization presents the raw list of tweets and web addresses, showing the text of each post alongside its URL. It uses plain HTML and Markdown formatting to display the data, with no interactive charts or mapping libraries applied. The rendering approach is a straightforward text-based list, relying on standard web markup to present the harvested links.

85% match

URL list from Friday, May. 15 2015 8:36 AM

This example shows a curated list of Twitter URLs shared on May 15, 2015, compiled by TheMapSmith as a markdown gist. Each entry pairs a tweet’s text with its link, highlighting commentary on mapping, GIS, data visualization, and tech culture. The rendering is plain text with hyperlinks, using no specific visualization libraries or APIs—the data source is the gist file itself. The display relies on standard HTML anchor tags and markdown formatting, offering a simple, chronological record of social-media activity without interactive or graphical elements.