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A frequency distribution shows a summarized grouping of data divided into mutually exclusive classes and the number of occurrences in a class. It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc.
On the same date, the 13-inch M2 MacBook Air received a price cut from $1199 to $1099. [22] On March 4, 2024, Apple announced a refreshed M3 MacBook Air in both 13-inch and 15-inch sizes. This model retains the same design as the M2 MacBook Air, but adds support for two external displays when the lid is closed.
Steve Jobs introduced the MacBook Air during Apple’s keynote address at the 2008 Macworld conference on January 15, 2008. [4] The first MacBook Air was a 13.3-inch model, initially promoted as the world's thinnest notebook at 1.9 cm (0.75 in) (a previous record holder, 2005's Toshiba Portege R200, was 1.98 cm (0.78 in) high).
Numbers works in a fashion somewhat different from traditional spreadsheets like Microsoft Excel or Lotus 1-2-3.In the traditional model, the table is the first-class citizen of the system, acting as both the primary interface for work and as the container for other types of media like charts or digital images.
A new sex trend among college students is getting attention on TikTok − and it has doctors worried.. That trend is using honey packets, a controversial supplement marketed for sexual enhancement ...
An Easter egg that displays the names of all the volcanoes in the United States can be found in the 3D Text screensaver on all versions of Microsoft Windows prior to Windows XP by setting the text to display to "Volcano". [14] In Windows NT 3.5, setting the text to "I love NT" shows the names of the developers.
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Each ij cell, then, is the number of times word j occurs in document i. As such, each row is a vector of term counts that represents the content of the document corresponding to that row. For instance if one has the following two (short) documents: D1 = "I like databases" D2 = "I dislike databases", then the document-term matrix would be: