The file contains 3.1 million rows, each representing one article<\/em> observed at one point in time<\/em>.<\/p>\n The file uses these columns:<\/p>\n timestamp: The time (in UTC<\/a>) of the fetch. All articles from the same fetch will have the same timestamp. position: The article’s zero-indexed<\/a> position in the trending strip, from left to right. text: The text of the link used to highlight the article. Note: Sometimes the same article is associated with different text at different points in time. url: The link’s URL. Note: Sometimes (although relatively rarely) the URL for the same underlying article changes over time. <\/p>\n Note<\/strong>: Although the script generally ran every five minutes, there are some gaps in the data, accounting for roughly 3% of the total time period covered. These gaps owe to two main factors: technical complications (such as server downtime) and periods during which the website swapped out the trending strip with breaking news alerts, single-story highlights<\/a>, or other notices. Unfortunately, I did not have the foresight to collect data that would distinguish between those scenarios.<\/p>\n<\/div>\n submitted by \/u\/brianckeegan <\/a>
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