URL list from Tuesday, Sep. 15 2015 17:53 PM

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.

82% 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.

81% 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.

81% 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 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.

URL list from Monday, Sep. 14 2015 9:14 AM

This interactive graph displays a chronological timeline of tweets from September 14, 2015, showing each post’s text and a link to its original URL. The data is sourced from a gist by TheMapSmith, with tweets rendered as individual nodes arranged in a linear sequence. The visualization uses a custom JavaScript layout, likely built with a force-directed algorithm from a library like D3.js, to position and connect the tweet entries. The interface allows users to scroll through the list, revealing the full content and metadata for each social media post.

URL list from Monday, Oct. 12 2015 11:46 AM

This visualization is a plain-text list of tweeted URLs, each entry pairing a user’s handle and message excerpt with the linked address. It functions as a time-stamped log of shared links from a single day, preserving the original tweet text and the URL for every item. The page is rendered as a simple HTML document, with no JavaScript libraries or APIs used; it relies solely on static markup and CSS for styling. The data source is a gist authored by TheMapSmith, containing the raw tweet data as markdown and plain text.

URL list from Tuesday, Oct. 6 2015 12:49 PM

A static list of 25 tweets collected at a single moment on October 6, 2015, displays each tweet’s text alongside its timestamp and a hyperlink to the original post. The content, sourced from a public gist by TheMapSmith, is rendered as plain HTML with no visual encoding of time, author, or topic; the page simply presents the raw, sequential data. The implementation uses no JavaScript libraries or charting APIs, relying only on a basic HTML/CSS layout to structure the list, so the visualization is purely textual and non-interactive.