Scrapy项目|Scrapy项目 - 数据简析 - 实现豆瓣 Top250 电影信息爬取的爬虫设计 Scrapy项目-数据简析-实现豆瓣

一、数据分析截图(weka数据分析截图 )
本例实验，使用Weka 3.7对豆瓣电影网页上所罗列的上映电影信息，如：标题、主要信息（年份、国家、类型）和评分等的信息进行数据分析，Weka 3.7数据分析如下所示：

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图1-1数据分析主界面

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图1-2OneR数据分析界面

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图1-3ZeroR数据分析界面

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图1-4 Visualize数据分析界面

二、数据分析结论：（将数据之间的关系用文字性描述）
如图2-1所示，显而易见，电影类型的趋势增量随着标题的繁杂而日益增长，仅对于整个国家层次来说，也都较为明显。
中国、印度、日本、韩国等亚洲国家，本土电影的市场份额甚至保持着对好莱坞电影的竞争优势。在全球市场近年来大约4%的增长速度大背景下，全球第一大电影市场北美地区基本稳定饱和，而中国则以30%左右的平均增长领跑全球市场。

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图2-1 标题与国家数据分析
【Scrapy项目|Scrapy项目 - 数据简析 - 实现豆瓣 Top250 电影信息爬取的爬虫设计】如图2-2所示，电影的评价随着年份的增长而较为集聚，由此可见，近年来人们对于电影方面的关注度在不断的提高，同时，电影的制作质量和内容的内涵都得到了不错的提高和进步。相比较而言，中国的电影行业在近年来不断的发展壮大，国外影片在不断引入的同时，逐渐在国内市场趋于饱和。

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图2-2 年份与评价数据对比

三、数据集及处理内容
1.数据集douban.csv-部分内容-

标题,评分,年份,国家,类型肖申克的救赎,9.6,1994,美国,犯罪剧情霸王别姬,9.6,1993,中国大陆香港,爱情同性这个杀手不太冷,9.4,1994,法国,动作犯罪阿甘正传,9.4,1994,美国,爱情美丽人生,9.5,1997,意大利,喜剧爱情战争泰坦尼克号,9.3,1997,美国,爱情灾难千与千寻,9.3,2001,日本,动画奇幻辛德勒的名单,9.5,1993,美国,历史战争盗梦空间,9.3,2010,美国英国,科幻悬疑冒险机器人总动员,9.3,2008,美国,爱情科幻动画冒险忠犬八公的故事,9.3,2009,美国英国,剧情三傻大闹宝莱坞,9.2,2009,印度,喜剧爱情歌舞海上钢琴师,9.2,1998,意大利,音乐放牛班的春天,9.2,2004,法国瑞士德国,音乐大话西游之大圣娶亲,9.2,1995,香港中国大陆,喜剧爱情奇幻冒险楚门的世界,9.2,1998,美国,科幻龙猫,9.1,1988,日本,动画奇幻冒险星际穿越,9.2,2014,美国英国加拿大冰岛,科幻冒险教父,9.2,1972,美国,犯罪熔炉,9.3,2011,韩国,剧情无间道,9.1,2002,香港,犯罪悬疑当幸福来敲门,9.0,2006,美国,传记家庭

2.大数据算法处理后的数据
douban-classifiers.rules.ZeroR

=== Run information ===Scheme:weka.classifiers.rules.ZeroR Relation:douban Instances:250 Attributes:5 标题评分年份国家类型 Test mode:10-fold cross-validation=== Classifier model (full training set) ===ZeroR predicts class value: 剧情Time taken to build model: 0 seconds=== Stratified cross-validation === === Summary ===Correctly Classified Instances208% Incorrectly Classified Instances23092% Kappa statistic0 Mean absolute error0.0168 Root mean squared error0.0917 Relative absolute error100% Root relative squared error100% Total Number of Instances250=== Detailed Accuracy By Class ===TP RateFP RatePrecisionRecallF-MeasureROC AreaClass 000000.295犯罪剧情 000000.146爱情同性 000000.146动作犯罪 000000.411爱情 000000.048喜剧爱情战争 000000.048爱情灾难 000000.097动画奇幻 000000.195历史战争 000000.048科幻悬疑冒险 000000.048爱情科幻动画冒险 110.0810.1480.5剧情 000000.048喜剧爱情歌舞 000000.146音乐 000000.097喜剧爱情奇幻冒险 000000.146科幻 000000.346动画奇幻冒险 000000.048科幻冒险 000000.397犯罪 000000.295犯罪悬疑 000000.048传记家庭 000000.195喜剧 000000.448喜剧爱情 000000.295喜剧动画冒险 000000.048历史爱情战争 000000.146动作科幻犯罪惊悚 000000.048历史家庭 000000.097奇幻冒险 000000.146动作奇幻冒险 000000.195动作悬疑惊悚 000000.048传记运动家庭 000000.048悬疑 000000.195喜剧犯罪 000000.048动作科幻惊悚 000000.195纪录片 000000.448家庭 000000.048传记剧情 000000.048动画冒险歌舞家庭 000000.097传记历史 000000.048传记历史战争音乐 000000.048家庭儿童 000000.346犯罪悬疑惊悚 000000.097爱情奇幻 000000.048歌舞 000000.295悬疑惊悚 000000.048战争情色 000000.146动作科幻 000000.048喜剧动作西部 000000.048传记爱情歌舞 000000.048动作传记历史战争 000000.048奇幻爱情 000000.097犯罪惊悚 000000.048悬疑科幻惊悚 000000.048传记犯罪剧情 000000.048喜剧冒险 000000.048动画 000000.048战争 000000.048爱情同性家庭 000000.048动作冒险奇幻 000000.048动作战争科幻冒险 000000.048家庭奇幻冒险 000000.146惊悚 000000.048喜剧动画奇幻音乐 000000.097爱情家庭 000000.048喜剧古装 000000.097爱情动画 000000.048爱情武侠古装 000000.048动画悬疑科幻惊悚 000000.146喜剧动画奇幻冒险 000000.048悬疑奇幻冒险 000000.048动作冒险剧情 000000.048儿童喜剧动画奇幻冒险 000000.048动画战争 000000.097悬疑惊悚恐怖 000000.048喜剧家庭 000000.048动作爱情武侠古装 000000.048喜剧爱情同性家庭 000000.048爱情动画奇幻 000000.048喜剧动作科幻动画冒险 000000.048喜剧爱情古装 000000.048喜剧动作犯罪 000000.048喜剧战争 000000.048传记历史战争 000000.048传记同性 000000.048爱情西部家庭 000000.048喜剧歌舞爱情 000000.048战争爱情 000000.048爱情科幻动画 000000.048冒险科幻 000000.048动作西部冒险 000000.048动画奇幻惊悚 000000.048犯罪爱情 000000.048犯罪奇幻 000000.048传记战争同性 000000.048冒险动画奇幻 000000.048儿童家庭 000000.048奇幻古装 000000.048喜剧动作 000000.048喜剧爱情音乐 000000.048动作武侠古装 000000.097科幻悬疑惊悚 000000.048犯罪奇幻悬疑 000000.048动画爱情 000000.048动作冒险 000000.097爱情战争 000000.048冒险西部 000000.048犯罪科幻 000000.097传记 000000.048惊悚冒险 000000.048喜剧音乐 000000.048冒险传记剧情 000000.048动作历史战争 000000.048科幻惊悚 000000.048冒险喜剧剧情 000000.048科幻惊悚冒险 000000.048冒险剧情 000000.048运动家庭 000000.048冒险家庭 Weighted Avg.0.080.080.0060.080.0120.213=== Confusion Matrix ===abcdefghijklmnopqrstuvwxyz aa ab ac ad ae af ag ah ai aj ak al am an ao ap aq ar as at au av aw ax ay az ba bb bc bd be bf bg bh bi bj bk bl bm bn bo bp bq br bs bt bu bv bw bx by bz ca cb cc cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dc dd de df dg dh di dj dk dl dm<-- classified as 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000000000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 | be = 爱情同性家庭 000000000010000000000000000000000000000000000000000000000000000000000000000000000000000

douban-classifiers.bayes.BayesNet

=== Run information ===Scheme:weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 Relation:douban Instances:250 Attributes:5 标题评分年份国家类型 Test mode:10-fold cross-validation=== Classifier model (full training set) ===Bayes Network Classifier not using ADTree #attributes=5 #classindex=4 Network structure (nodes followed by parents) 标题(250): 类型评分(1): 类型年份(1): 类型国家(63): 类型类型(117): LogScore Bayes: -3539.2733612389457 LogScore BDeu: -413319.4011710574 LogScore MDL: -200224.39542485887 LogScore ENTROPY: -99449.45148249586 LogScore AIC: -135952.45148249588Time taken to build model: 0.03 seconds=== Stratified cross-validation === === Summary ===Correctly Classified Instances218.4% Incorrectly Classified Instances22991.6% Kappa statistic0.0129 Mean absolute error0.0166 Root mean squared error0.0915 Relative absolute error98.5981 % Root relative squared error99.8654 % Total Number of Instances250=== Detailed Accuracy By Class ===TP RateFP RatePrecisionRecallF-MeasureROC AreaClass 00.0080000.308犯罪剧情 000000.603爱情同性 000000.821动作犯罪 0.20.0720.150.20.1710.449爱情 000000.392喜剧爱情战争 000000.018爱情灾难 000000.32动画奇幻 00.0040000.274历史战争 000000.157科幻悬疑冒险 000000.024爱情科幻动画冒险 0.90.7960.090.90.1630.556剧情 000000.394喜剧爱情歌舞 000000.26音乐 00.0040000.992喜剧爱情奇幻冒险 000000.713科幻 000000.937动画奇幻冒险 000000.41科幻冒险 00.0290000.49犯罪 00.020000.165犯罪悬疑 000000.016传记家庭 00.0040000.437喜剧 000000.609喜剧爱情 00.0040000.656喜剧动画冒险 000000.012历史爱情战争 00.0080000.656动作科幻犯罪惊悚 000000.384历史家庭 000000.518奇幻冒险 000000.874动作奇幻冒险 00.0040000.915动作悬疑惊悚 000000.402传记运动家庭 000000.378悬疑 000000.296喜剧犯罪 000000.408动作科幻惊悚 000000.36纪录片 00.0170000.513家庭 000000.01传记剧情 000000.018动画冒险歌舞家庭 000000.59传记历史 000000.414传记历史战争音乐 000000.394家庭儿童 00.0120000.475犯罪悬疑惊悚 000000.125爱情奇幻 000000.054歌舞 000000.518悬疑惊悚 000000.386战争情色 00.0040000.837动作科幻 000000.277喜剧动作西部 000000.024传记爱情歌舞 000000.024动作传记历史战争 000000.012奇幻爱情 000000.127犯罪惊悚 000000.39悬疑科幻惊悚 000000.39传记犯罪剧情 000000.382喜剧冒险 000000.386动画 000000.369战争 000000.378爱情同性家庭 000000.018动作冒险奇幻 000000.157动作战争科幻冒险 000000.022家庭奇幻冒险 000000.091惊悚 000000.008喜剧动画奇幻音乐 000000.156爱情家庭 000000.06喜剧古装 000000.613爱情动画 000000.056爱情武侠古装 000000.038动画悬疑科幻惊悚 000000.663喜剧动画奇幻冒险 000000.141悬疑奇幻冒险 000000.046动作冒险剧情 000000.018儿童喜剧动画奇幻冒险 000000.032动画战争 000000.181悬疑惊悚恐怖 000000.062喜剧家庭 000000.394动作爱情武侠古装 000000.382喜剧爱情同性家庭 000000.042爱情动画奇幻 000000.024喜剧动作科幻动画冒险 000000.038喜剧爱情古装 000000.064喜剧动作犯罪 000000.414喜剧战争 000000.373传记历史战争 000000.012传记同性 000000.024爱情西部家庭 000000.01喜剧歌舞爱情 000000.012战争爱情 000000.028爱情科幻动画 000000.012冒险科幻 000000.008动作西部冒险 000000.042动画奇幻惊悚 000000.056犯罪爱情 000000.404犯罪奇幻 000000.378传记战争同性 000000.369冒险动画奇幻 000000.394儿童家庭 000000.022奇幻古装 000000.369喜剧动作 000000.018喜剧爱情音乐 000000.365动作武侠古装 000000.511科幻悬疑惊悚 000000.01犯罪奇幻悬疑 000000.038动画爱情 000000.012动作冒险 000000.106爱情战争 000000.402冒险西部 000000.384犯罪科幻 000000.181传记 000000.169惊悚冒险 000000.406喜剧音乐 000000.012冒险传记剧情 000000.012动作历史战争 000000.022科幻惊悚 000000.018冒险喜剧剧情 000000.378科幻惊悚冒险 000000.022冒险剧情 000000.018运动家庭 000000.406冒险家庭 Weighted Avg.0.0840.0710.0160.0840.0230.401=== Confusion Matrix ===abcdefghijklmnopqrstuvwxyz aa ab ac ad ae af ag ah ai aj ak al am an ao ap aq ar as at au av aw ax ay az ba bb bc bd be bf bg bh bi bj bk bl bm bn bo bp bq br bs bt bu bv bw bx by bz ca cb cc cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dc dd de df dg dh di dj dk dl dm<-- classified as 000100000040000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000000000000000000 |a = 犯罪剧情 000000000020000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 |b = 爱情同性 000200000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 |c = 动作犯罪 0003000000 110000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 |d = 爱情 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转载于:https://www.cnblogs.com/Raodi/p/11187963.html