Skip to main content
SimilarExport ZIP
100%

URL list from Monday, May. 4 2015 11:41 AM

✓ Published0🌍 Public
SStephen
Last edited May 4, 2015
Created on May 4, 2015

This example presents a plain-text list of 25 cartography- and data-visualization-related links shared on Twitter around May 4, 2015, curated into a markdown file. The visualization simply renders each tweet’s text and URL as a static, ordered list, with no interactive elements or graphical encoding. It relies on raw HTML and CSS for text styling rather than any charting library or API. The dataset originates from the author’s own collection of tweets from that day, focusing on map projections, GIS software, and humanitarian mapping efforts.

AI-generated description

Similar vizzes

Loading thumbnail…

URL list from Wednesday, May. 13 2015 9:25 AM

This example visualizes a collection of tweets about maps, geospatial technology, and data visualization, as shared by TheMapSmith on May 13, 2015. The visualization presents the raw text of each tweet alongside its corresponding URL, linking each entry to its original Twitter post. Rendered as a simple markdown file, the data is displayed as a chronological list without any additional styling or graphical encoding. The source content comes directly from a public gist, capturing a snapshot of the geospatial community’s social media activity at that moment.

SStephen
90% match
Loading thumbnail…

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.

SStephen
90% match
Loading thumbnail…

URL list from Saturday, May. 23 2015 11:12 AM

This example compiles a crowd-sourced list of geospatial and data-visualization links shared on Twitter on May 23, 2015, using a GitHub Gist as its raw data source. The visualization presents each tweet as a serial entry, rendering the original tweet text alongside the author and the direct Twitter URL. The code parses the Markdown file to extract tweets, handles the embedded media and link-shortener expansions for readability, and formats the entries with timestamps and author names. It relies on a simple text-based rendering pipeline, using standard JavaScript string processing to clean and display the tweet content without any charting or mapping libraries.

SStephen
89% match
Loading thumbnail…

URL list from Wednesday, Jul. 1 2015 17:21 PM

This example displays a list of tweets about maps, cartography, and GIS, scraped from a single day in July 2015. The visualization is a simple text list, with each entry showing the tweet’s author, message, and URL. The data comes from a plain-text gist, and the rendering uses basic HTML and CSS to format the list, with no interactive or dynamic elements. It serves as a static archive of social-media activity rather than a chart or map.

SStephen
89% match
Loading thumbnail…

URL list from Tuesday, Jun. 2 2015 15:41 PM

A daily log of links shared by cartography and GIS practitioners on Twitter is rendered as a scrollable, plain-text list, where each tweet’s text and URL are displayed verbatim. This example uses a simple HTML/CSS layout with no JavaScript libraries; the visual interest comes from the raw, unedited stream of community-sourced resources, including project links and commentary. The source is a markdown file containing tweet text and URLs, and the rendering approach is a straightforward static page that preserves the chronological order and original wording of each post.

SStephen
89% match
Loading thumbnail…

URL list from Monday, May. 11 2015 16:45 PM

This gallery example presents a plain-text markdown file that lists a collection of Twitter URLs and their associated messages, captured on a specific date. The listing functions as a static archive of cartography and data-visualization related links shared by various users. The code provides direct HTTP links to each tweet, showing the original text and author handles. The raw list serves as a simple index or reading list, with no computational rendering or interactive features. The document’s structure relies on standard Markdown formatting to organize the entries by line, offering a straightforward data source for anyone browsing the collected resources.

SStephen
88% match
Loading thumbnail…

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.

SStephen
88% match
Loading thumbnail…

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.

SStephen
88% match