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Naruto Data Book 4 13



Naruto was serialized in Shueisha's magazine, Weekly Shōnen Jump from 1999 to 2014, and released in tankōbon (book) form in 72 volumes. The manga was adapted into an anime television series produced by Pierrot and Aniplex, which broadcast 220 episodes in Japan from 2002 to 2007; the English dub of the series aired on Cartoon Network and YTV from 2005 to 2009. Naruto: Shippuden, a sequel to the original series, premiered in Japan in 2007, and ended in 2017, after 500 episodes. The English dub was broadcast on Disney XD from 2009 to 2011, airing the first 98 episodes, and then switched over to Adult Swim's Toonami programming block in January 2014, starting over from the first episode. The English dub is still airing weekly on Adult Swim to this day. Viz Media began streaming the anime series on their streaming service Neon Alley in December 2012 on 99 episodes, and ended in March 2016, after 338 episodes. Besides the anime series, Pierrot has developed eleven movies and twelve original video animations (OVAs). Other Naruto-related merchandise includes light novels, video games, and trading cards developed by several companies.




naruto data book 4 13




Naruto was scanlated (translated by fans) and available online before a licensed version was released in North America;[36] the rights were acquired by Viz Media, who began serializing Naruto in their anthology comic magazine Shonen Jump, starting with the January 2003 issue.[37] The schedule was accelerated at the end of 2007 to catch up with the Japanese version,[38] and again in early 2009, with 11 volumes (from 34 to 44) appearing in three months, after which it returned to a quarterly schedule.[39] All 27 volumes of Part I were released in a boxed set on November 13, 2007.[40] On May 3, 2011, Viz started selling the manga in an omnibus format with each book containing three volumes.[41]


Twenty-six Naruto light novels, the first nine written by Masatoshi Kusakabe, have been published in Japan.[102] Of these, the first two have been released in English in North America. The first adapted novel, Naruto: Innocent Heart, Demonic Blood (2002), retells a Team 7 mission in which they encounter the assassins Zabuza and Haku;[103][104] the second, Naruto: Mission: Protect the Waterfall Village! (2003) was based on the second OVA of the anime.[105][106] Viz has also published 16 chapter books written by Tracey West with illustrations from the manga. Unlike the series, these books were aimed at children ages seven to ten.[107] Thirteen original novels have appeared in Japan;[102] eleven of these are part of a series, and the other two are independent novels unconnected to the series. The first independent novel, titled Naruto: Tales of a Gutsy Ninja (2009), is presented as an in-universe novel written by Naruto's master Jiraiya. It follows the adventures of a fictional shinobi named Naruto Musasabi, who served as Naruto's namesake.[108] The other independent novel, Naruto Jinraiden: The Day the Wolf Howled (2012), is set shortly after Sasuke's fight with Itachi.[109]


Three official artbooks based on the Naruto series have been released. The first two, titled Art Collection: Uzumaki, and Illustration Collection: Naruto, were released in Japan in 2004 and 2009, with North American editions following in 2007 and 2010 respectively.[137][138][139][140] The third artbook Illustration Collection: Naruto Uzumaki, was published in 2015 in Japan and later the same year in North America;[141][142] it contains artwork originally on Shonen Jump comic covers. It has no text except a brief commentary by Kishimoto about his favorite artworks.[143] An interactive coloring book called Paint Jump: Art of Naruto was released in 2008.[144] An unreleased artbook titled Naruto Exhibition Official Guest Book by Masashi Kishimoto was given to those who attended the Naruto art exhibition at the Mori Art Museum on April 25, 2015.[145]


Four guidebooks titled First Official Data Book through Fourth Official Data Book have been released; the first two cover Part I of the manga, and were released in 2002 and 2005; the third and fourth volumes appeared in 2008 and 2014.[146][147][148] These books contain character profiles, Jutsu guides, and drafts by Kishimoto.[149] For the anime, a series of guidebooks called Naruto Anime Profiles was released. These books contain information about the production of the anime episodes and explanations of the characters' designs.[150] A manga fan book titled Secret: Writings from the Warriors Official Fanbook appeared in 2002,[151] and another fan book was released to commemorate the series' 10th anniversary, including illustrations of Naruto Uzumaki by other manga artists, a novel, Kishimoto's one-shot titled Karakuri, and an interview between Kishimoto and Yoshihiro Togashi.[152]


The manga has 250 million copies in circulation worldwide, making it one of the best-selling manga series in history. More than half of the total circulation were in Japan, with the remaining circulation from 46 countries and regions.[165][43] It has become one of North American publisher Viz Media's best-selling manga series;[166] their translation of the series appeared on USA Today and The New York Times bestseller lists several times. It was included in the fiction section of Teacher Librarian's recommended list for 2008,[167] and School Library Journal described it as an essential manga for school libraries.[168] Volume 28 of the manga reached 17th place in the USA Today Booklist in its first week of release in March 2008, only two places short of the record for a manga, held by Fruits Basket.[169] The volume had one of the biggest debut weeks of any manga in years, becoming the top-selling manga volume of 2008 and the second best-selling book in North America.[170][171] In 2010, Viz, the publisher, commented on the loyalty of readers, who reliably continued to buy the manga as the volume count went over 40.[172] In April 2007, volume 14 earned Viz the Manga Trade Paperback of the Year Gem Award from Diamond Comic Distributors.[173] Responding to Naruto's success, Kishimoto said in Naruto Collector Winter 2007/2008 that he was "very glad that the American audience has accepted and understood ninja. It shows that the American audience has good taste [...] because it means they can accept something previously unfamiliar to them."[174]


The Naruto run, or ninja run, is a running style based on the way the characters run leaning forward with their arms outstretched behind their backs. It became popular in 2017 when groups worldwide organized events to run like Naruto characters, especially on anniversaries of the series.[235][236][237] On June 27, 2019, Matty Roberts posted a satirical event called "Storm Area 51, They Can't Stop All of Us" on Facebook where he wrote "We will all meet up at the Area 51 Alien Center tourist attraction and coordinate our entry. If we naruto run, we can move faster than their bullets. Let's see them aliens."[238] This quickly became an Internet meme, resulting in nationwide alerts and warnings issued by Nevada law enforcement and the U.S. Air Force to not go to Area 51.[239]


Consider the following data story.Suppose we again find ourselves in Australia, the city of Perth specifically.Located on the southwest coast, Perth experiences dry summers and wet winters.Our goal will be to predict whether or not it will rain tomorrow.That is, we want to model \(Y\), a binary categorical response variable, converted to a 0-1 indicator for convenience:


One simple question can help us narrow in on an appropriate model structure for any response variable \(Y_i\): what values can \(Y_i\) take and what probability models assume this same set of values?Here, \(Y_i\) is a discrete variable which can only take two values, 0 or 1.Thus, the Bernoulli probability model is the best candidate for the data. Letting \(\pi_i\) denote the probability of rain on day \(i\),


\[\beginequation\beginarraylcrl \textdata: & \hspace.01in & Y_i\beta_0,\beta_1 & \stackrelind\sim \textBern(\pi_i) \;\; \text with \;\; \log\left(\frac\pi_i1 - \pi_i\right) = \beta_0 + \beta_1 X_i1 \\\textpriors: & & \beta_0c & \sim N\left(-1.4, 0.7^2 \right) \\ & & \beta_1 & \sim N\left(0.07, 0.035^2 \right). \\\endarray\tag13.5\endequation\]


In originally specifying these priors (before writing them down in the book), we combined a lot of trial and error with an understanding of how logistic regression coefficients work.Throughout this tuning process, we simulated data under a variety of prior models, each time asking ourselves if the results adequately reflected our understanding of rain.To this end, we followed the same framework used in Section 12.1.2 to tune Poisson regression priors.


To simulate the posterior model of our logistic regression model parameters \(\beta_0\) and \(\beta_1\) (13.5), we can update() the rain_model_prior simulation in light of this new weather data:\indexfunupdate()


Let \(Y\) be a set of binary response values on \(n\) data points and \(\hatY\) represent the corresponding posterior classifications of \(Y\).A confusion matrix summarizes the results of these classifications relative to the actual observations where \(a + b + c + d = n\):


\[\beginequation\beginarraylcrl \textdata: & \hspace.01in & Y_i\beta_0,\beta_1,\ldots,\beta_p & \stackrelind\sim \textBern(\pi_i) \;\; \text with \;\; \log\left(\frac\pi_i1 - \pi_i\right) = \beta_0 + \beta_1 X_i1 + \cdots + \beta_p X_ip \\\textpriors: & & \beta_0c & \sim N(m_0, s_0^2) \\& & \beta_1 & \sim N(m_1, s_1^2) \\&& \vdots & \\& & \beta_p & \sim N(m_p, s_p^2) \\\endarray\tag13.7\endequation\]


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