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

URL list from Tuesday, Sep. 8 2015 10:33 AM

This visualization is a manually curated list of 27 geospatial and data-related tweets from September 8, 2015, each linked to its original Twitter status. The page presents each tweet’s author, text, and URL as a plain chronological list, sourced from a gist by TheMapSmith. The layout is a static HTML document with no interactive elements, using no JavaScript libraries or rendering APIs; it simply displays the raw markdown content as a readable text archive. The data source is the author’s own compilation of tweets, with no additional processing or visual encoding.

91% 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 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 Monday, Aug. 24 2015 9:39 AM

A text-based list of 30 URLs shared on Twitter, curated from a single Monday morning. Each entry pairs a tweet’s author and text with its link, providing a chronological snapshot of links about mapping, open-source software, and visualization. The visualization is static and relies on plain Markdown formatting, with no interactive or programmatic elements, showing a raw HTML rendering of the file’s contents rather than an analytical chart.

URL list from Wednesday, Sep. 9 2015 11:17 AM

This example presents a text-based visualization: a chronological log of Twitter posts related to mapping, geospatial technology, and data visualization, captured on September 9, 2015. The data is a plain-text list of tweets with authors, messages, and URLs, sourced from a public gist by TheMapSmith. The rendering simply displays the raw markdown file `urllist-20150909.md` as a scrolling document, with no additional layout, filtering, or encoding. No JavaScript libraries or APIs are used; the content is presented as-is, preserving the original tweet text and links for browsing.

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.