URL list from Thursday, Aug. 13 2015 10:39 AM

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.

91% match

URL list from Thursday, May. 21 2015 14:49 PM

A list of 28 URLs from a Twitter-focused gist, captured on May 21, 2015, displays each tweet’s text and link as a simple text list. The page uses plain HTML and CSS to render the content, with no JavaScript or interactive elements. The data originates from a Markdown file, and the rendering relies on standard browser layout rather than a visualization library. The gist’s author, TheMapSmith, presents the raw tweet data without additional processing or charting.

88% match

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.

88% match

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.

88% match

URL list from Wednesday, May. 6 2015 12:45 PM

The visualization is a simple text list of URLs shared on Twitter, captured on May 6, 2015. Each line pairs a username and a short tweet excerpt with the corresponding link, rendering the raw content in a plain monospace format. The list uses static HTML with no interactive elements or external libraries, displaying the data as a straightforward, unadorned archive of social-media posts. The source is the gist's raw markup file, which presents each tweet as a hyperlink to its original status.

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.

URL list from Tuesday, Aug. 18 2015 8:53 AM

This example shows the content of a URL list gathered on a single morning, displaying each entry as a separate row with the full link text visible. The visualization renders the raw markdown file directly, preserving the original line breaks and hyperlink formatting without any additional processing. Built as a plain HTML page, it relies on the browser’s native text rendering rather than a JavaScript library, making the data source—a gist file—the sole element structuring the layout. No interactive or animated features are present, focusing solely on a static, readable presentation of the collected links.

URL list from Thursday, Jun. 4 2015 11:00 AM

This example visualizes a curated list of URLs shared on Twitter on June 4, 2015, drawn from a gist by TheMapSmith. The display connects each tweet’s text to its linked webpage, using a network layout powered by `d3.forceSimulation` to position nodes. The rendering relies on SVG elements and `d3.geoPath` to draw geographic context, while data is parsed directly from the markdown file. Titles and handles appear as labels, with links encoded as edges between tweet and destination nodes.