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	<title>数据范儿</title>
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	<link>http://datafanr.com</link>
	<description>- 菜鸟分析师的成长点滴</description>
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		<title>韩寒与福尔摩斯</title>
		<link>http://datafanr.com/diary/hanhan-and-holmes.html</link>
		<comments>http://datafanr.com/diary/hanhan-and-holmes.html#comments</comments>
		<pubDate>Sat, 04 Feb 2012 04:07:33 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[7.无主题扯淡]]></category>
		<category><![CDATA[福尔摩斯]]></category>
		<category><![CDATA[韩寒]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2279</guid>
		<description><![CDATA[怎么说呢，2012年的韩寒，看上去有点像福尔摩斯。 并非真正柯南·道尔小说中的福尔摩斯，而是BBC电视剧《神探夏洛克》（Sherlock）中的男主。 在这部电视剧第二季里，天才的福尔摩斯被同样天才的莫里亚蒂陷害。莫里亚蒂让所有人都相信，福尔摩斯所有的丰功伟绩都是假的，都是假的。 最终，为了亲人和朋友的性命，福尔摩斯不得不通过跳楼“成全”了这个陷阱，让所有人相信，自己曾经破过的案子都是假的，自己是个骗子（当然，这不是结局，还得看第三季）。 这让我想起了韩寒与方舟子的事情。我想，方可能是看了这个电视剧，以为自己是莫里亚蒂，于是自己开始证明越韩寒是个骗子，他的一切都是假的，他的书不是他写的，他的博客不是他写的。 韩寒的处境，也许和福尔摩斯有点相似。他越证明自己是真的，就暴露出越多可以被方质疑的地方。最后会怎么样？ 麦田的《人造韩寒》时间是2012年1月15日，豆瓣上写电视剧的上映是2012年1月1日，或许，神探夏洛克，真的是方寒大战的导火索？ 也许你还喜欢：爷们儿白岩松]]></description>
			<content:encoded><![CDATA[<p>怎么说呢，2012年的韩寒，看上去有点像福尔摩斯。</p>
<p>并非真正柯南·道尔小说中的福尔摩斯，而是BBC电视剧<a href="http://movie.douban.com/subject/6522269/">《神探夏洛克》（Sherlock）</a>中的男主。</p>
<p>在这部电视剧第二季里，天才的福尔摩斯被同样天才的莫里亚蒂陷害。莫里亚蒂让所有人都相信，福尔摩斯所有的丰功伟绩都是假的，都是假的。</p>
<p>最终，为了亲人和朋友的性命，福尔摩斯不得不通过跳楼“成全”了这个陷阱，让所有人相信，自己曾经破过的案子都是假的，自己是个骗子（当然，这不是结局，还得看第三季）。</p>
<p>这让我想起了韩寒与方舟子的事情。我想，方可能是看了这个电视剧，以为自己是莫里亚蒂，于是自己开始证明越韩寒是个骗子，他的一切都是假的，他的书不是他写的，他的博客不是他写的。</p>
<p>韩寒的处境，也许和福尔摩斯有点相似。他越证明自己是真的，就暴露出越多可以被方质疑的地方。最后会怎么样？</p>
<p>麦田的《人造韩寒》时间是2012年1月15日，豆瓣上写电视剧的上映是2012年1月1日，或许，神探夏洛克，真的是方寒大战的导火索？</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/media/baiyansong.html" title="爷们儿白岩松">爷们儿白岩松</a></li></ul>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>游戏厅里的少年咨询师</title>
		<link>http://datafanr.com/diary/game-consultant-2.html</link>
		<comments>http://datafanr.com/diary/game-consultant-2.html#comments</comments>
		<pubDate>Wed, 25 Jan 2012 07:10:17 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[7.无主题扯淡]]></category>
		<category><![CDATA[咨询]]></category>
		<category><![CDATA[游戏]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2258</guid>
		<description><![CDATA[我天生是个咨询师的胚子。你相信吗？ 就从小时候说起，从小时候熟悉的游戏厅说起。 我们这一代不良少年，是从混迹游戏厅开始成长起来的。那里有改变世界的豪情，有刺激过瘾的厮杀，有团队协作的哥们儿义气，有虚拟世界的种种幻想，也有一点点少年时代的朦胧性幻想（请不要乱猜，是朦胧性的幻想）。真实生活中不可以死而复生，不可以重来一次，但游戏里可以。 上世纪九十年代初，村子里的游戏厅有很多家，有的店临街，交通方便（也就是少走点路），但是有被老师发现的危险；有的店隐蔽，可以玩儿得开心，只是路远不好找。而当时还傻傻地按阴历生日算星座从而误以为自己是天蝎座的射手座的我，勇猛无畏，去就去临街的，玩儿得就是心跳。 那些年我们一起玩过的游戏机，根据体积大小分为三种类型：任天堂的红白机（我们当时流行的是啊噢小霸王其乐无穷啊）被划为小型游戏机，世嘉的黑色机子被划分为中型游戏机，游戏卡更重而且更加好玩，价钱也比小型游戏机每小时贵一块钱；曾经块头比我们还大的街机被划分为大型游戏机。这个划分体系一直沿用至今，我们的儿子们如同他们老子当年那样，对这老三样爱不释手。只是如今小型和中型已淡出孩子们视野，唯有大型街机风韵犹存。 按体积划分也存在一定的问题，只能玩俄罗斯方块的掌机出现时，由于比小型游戏机小，就不能算作小型游戏机。限于当时学会的生字不多，并且像微博、微盘、微话题、微二逼这样的东西也没有出现并流行，也就想不到”微型游戏机”这么个词。况且就算想起来叫微型游戏机这么个词，在认知上也会出现偏差，因为当时的台式电脑就叫”微机”，这个微机可比小型游戏机还要大。 大、中、小、微都是表示相对大小的词，没有统一标准，就没有可比性。说一个女人胸大或胸小，这就没有参考价值，你得说是A杯、B杯还是F杯。想想近些年来每家网站都标榜自己＂最大＂，这也是纯扯淡。比如度娘声称自己是全球最大的中文网站，这就是胡说，我在iPad上上百度，一直是9.7寸，才4：3；在电脑上上GoogIe，从来都是19寸，您猜怎么着，16：9!搁投影仪上就是一百来寸，瞧人家Google有多大。 后来GBA、DSL、PSP、XBOX什么的出现之后，大中小的体系更加混乱，我更加深刻地认识到，老祖宗留下的体系是有缺陷的。我用了三年光阴，刻苦钻研出一套新的分类体系，它继承和发展了马烈驴懒主义，完全釆纳了伟大而正确的毛泽东思想，又抄袭了改革不开放总设计尸邓亚平的宏伟蓝牙。我三年如一日地走基层转文风改作风，充分尊重中国的基本国情，考虑到中国人的素质不高从而不适合搞民主的约束条件，找到了这套有中国特色的社会主义体系。这个分类体系的具体内容是： 全宇宙所有的游戏分为两种：我玩儿得起的，和我玩儿不起的。 写到这里，终于发现，要说一点儿都没有跑题也并不完全准确。但我实在是憋不住了。传说巴尔扎克还是马克吐温还是谁写作的时候站着写，就为了别写得太冗长。我觉得好，就学来了，写东西的时候拼命喝水，等憋出尿来，就可以收尾了。 至于我是怎么在游戏厅里当咨询师的，下回再分解。 &#160; 也许你还喜欢：学校里不会教的8堂咨询课咨询它是个什么玩意？北大五年自娱自乐的原创游戏娱乐不死：游戏式广告的心理分析寒假小结-Easy Picasa真不错来学术点的：“黄”他一下又何妨？本周要闻初玩实况11从明天开始，复习仙剑三]]></description>
			<content:encoded><![CDATA[<p>我天生是个咨询师的胚子。你相信吗？</p>
<p>就从小时候说起，从小时候熟悉的游戏厅说起。</p>
<p>我们这一代不良少年，是从混迹游戏厅开始成长起来的。那里有改变世界的豪情，有刺激过瘾的厮杀，有团队协作的哥们儿义气，有虚拟世界的种种幻想，也有一点点少年时代的朦胧性幻想（请不要乱猜，是朦胧性的幻想）。真实生活中不可以死而复生，不可以重来一次，但游戏里可以。</p>
<p><span id="more-2258"></span></p>
<p>上世纪九十年代初，村子里的游戏厅有很多家，有的店临街，交通方便（也就是少走点路），但是有被老师发现的危险；有的店隐蔽，可以玩儿得开心，只是路远不好找。而当时还傻傻地按阴历生日算星座从而误以为自己是天蝎座的射手座的我，勇猛无畏，去就去临街的，玩儿得就是心跳。</p>
<p>那些年我们一起玩过的游戏机，根据体积大小分为三种类型：任天堂的红白机（我们当时流行的是啊噢小霸王其乐无穷啊）被划为小型游戏机，世嘉的黑色机子被划分为中型游戏机，游戏卡更重而且更加好玩，价钱也比小型游戏机每小时贵一块钱；曾经块头比我们还大的街机被划分为大型游戏机。这个划分体系一直沿用至今，我们的儿子们如同他们老子当年那样，对这老三样爱不释手。只是如今小型和中型已淡出孩子们视野，唯有大型街机风韵犹存。</p>
<p>按体积划分也存在一定的问题，只能玩俄罗斯方块的掌机出现时，由于比小型游戏机小，就不能算作小型游戏机。限于当时学会的生字不多，并且像微博、微盘、微话题、微二逼这样的东西也没有出现并流行，也就想不到”微型游戏机”这么个词。况且就算想起来叫微型游戏机这么个词，在认知上也会出现偏差，因为当时的台式电脑就叫”微机”，这个微机可比小型游戏机还要大。</p>
<p>大、中、小、微都是表示相对大小的词，没有统一标准，就没有可比性。说一个女人胸大或胸小，这就没有参考价值，你得说是A杯、B杯还是F杯。想想近些年来每家网站都标榜自己＂最大＂，这也是纯扯淡。比如度娘声称自己是全球最大的中文网站，这就是胡说，我在iPad上上百度，一直是9.7寸，才4：3；在电脑上上GoogIe，从来都是19寸，您猜怎么着，16：9!搁投影仪上就是一百来寸，瞧人家Google有多大。</p>
<p>后来GBA、DSL、PSP、XBOX什么的出现之后，大中小的体系更加混乱，我更加深刻地认识到，老祖宗留下的体系是有缺陷的。我用了三年光阴，刻苦钻研出一套新的分类体系，它继承和发展了马烈驴懒主义，完全釆纳了伟大而正确的毛泽东思想，又抄袭了改革不开放总设计尸邓亚平的宏伟蓝牙。我三年如一日地走基层转文风改作风，充分尊重中国的基本国情，考虑到中国人的素质不高从而不适合搞民主的约束条件，找到了这套有中国特色的社会主义体系。这个分类体系的具体内容是：</p>
<p>全宇宙所有的游戏分为两种：我玩儿得起的，和我玩儿不起的。</p>
<p>写到这里，终于发现，要说一点儿都没有跑题也并不完全准确。但我实在是憋不住了。传说巴尔扎克还是马克吐温还是谁写作的时候站着写，就为了别写得太冗长。我觉得好，就学来了，写东西的时候拼命喝水，等憋出尿来，就可以收尾了。</p>
<p>至于我是怎么在游戏厅里当咨询师的，下回再分解。</p>
<p>&nbsp;</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/data/8-consulting-lessons-they-dont-teach-you-in-school.html" title="学校里不会教的8堂咨询课">学校里不会教的8堂咨询课</a></li><li><a href="http://datafanr.com/data/what-is-consulting.html" title="咨询它是个什么玩意？">咨询它是个什么玩意？</a></li><li><a href="http://datafanr.com/media/rpg-games-made-in-pku.html" title="北大五年自娱自乐的原创游戏">北大五年自娱自乐的原创游戏</a></li><li><a href="http://datafanr.com/media/game-like_ads.html" title="娱乐不死：游戏式广告的心理分析">娱乐不死：游戏式广告的心理分析</a></li><li><a href="http://datafanr.com/diary/easy-picasa.html" title="寒假小结-Easy Picasa真不错">寒假小结-Easy Picasa真不错</a></li><li><a href="http://datafanr.com/media/yellow_express.html" title="来学术点的：“黄”他一下又何妨？">来学术点的：“黄”他一下又何妨？</a></li><li><a href="http://datafanr.com/diary/%e6%9c%ac%e5%91%a8%e8%a6%81%e9%97%bb.html" title="本周要闻">本周要闻</a></li><li><a href="http://datafanr.com/diary/e5-88-9d-e7-8e-a9-e5-ae-9e-e5-86-b511.html" title="初玩实况11">初玩实况11</a></li><li><a href="http://datafanr.com/diary/%e4%bb%8e%e6%98%8e%e5%a4%a9%e5%bc%80%e5%a7%8b%ef%bc%8c%e5%a4%8d%e4%b9%a0%e4%bb%99%e5%89%91%e4%b8%89.html" title="从明天开始，复习仙剑三">从明天开始，复习仙剑三</a></li></ul>]]></content:encoded>
			<wfw:commentRss>http://datafanr.com/diary/game-consultant-2.html/feed</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>来自北大未名的新年祝福</title>
		<link>http://datafanr.com/pku/bless-from-bdwm.html</link>
		<comments>http://datafanr.com/pku/bless-from-bdwm.html#comments</comments>
		<pubDate>Sat, 14 Jan 2012 15:57:41 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[8.校园]]></category>
		<category><![CDATA[北大]]></category>
		<category><![CDATA[未名]]></category>
		<category><![CDATA[配音]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2220</guid>
		<description><![CDATA[友情转载，莫老师作品，北大未名BBS各区各版权贵送上的新年祝福，有声版哟亲~ 听北大的声音，来北大未名配音版。 附：演职员表 语音 （排名不分先后，依节目次序排列） kanez squid yiranchinese wafield tedzhu ShuiHan sarsmm princewong Cronquist pissenlit cn Berusconi anecdote PILOTA demonlord mixiuqaq stxl HappyNewYear 后期 Mocho 监督 xxxlllniux 也许你还喜欢：请某位记者朋友睁开眼看一看北大的助学政策张彦 · 强越来越没人情味儿的面食部北大未名BBS新生手册燕园十二年前北大的“马子”——Maze还在更新历届普利策奖获奖名单化瑞GG挺好的+2009下考题总结妻管严我家大脑电脑牛逼放假Happy]]></description>
			<content:encoded><![CDATA[<p><img src="http://datafanr.com/wp-content/uploads/2012/01/bdwm-happynewyear-voice.jpg" alt="" title="bdwm-happynewyear-voice" /><br />
<object width="520" height="50" classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="src" value="http://www.tudou.com/v/rZ35vLNpsS8/&amp;resourceId=0_05_05_99/v.swf" /><param name="allowscriptaccess" value="always" /><param name="allowfullscreen" value="true" /><param name="wmode" value="opaque" /><embed width="520" height="50" type="application/x-shockwave-flash" src="http://www.tudou.com/v/rZ35vLNpsS8/&amp;resourceId=0_05_05_99/v.swf" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" /></object><br />
友情转载，莫老师作品，北大未名BBS各区各版权贵送上的新年祝福，有声版哟亲~<br />
<span id="more-2220"></span><br />
听北大的声音，来<a href="http://dubbing.bdwm.net/" target="_blank">北大未名配音版</a>。<br />
附：演职员表</p>
<blockquote><p>
语音<br />
（排名不分先后，依节目次序排列）<br />
kanez<br />
squid<br />
yiranchinese<br />
wafield<br />
tedzhu<br />
ShuiHan<br />
sarsmm<br />
princewong<br />
Cronquist<br />
pissenlit<br />
cn<br />
Berusconi<br />
anecdote<br />
PILOTA<br />
demonlord<br />
mixiuqaq<br />
stxl<br />
HappyNewYear</p>
<p>后期 Mocho<br />
监督 xxxlllniux</p></blockquote>
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		</item>
		<item>
		<title>原来淘宝商城一直在墓地中</title>
		<link>http://datafanr.com/data/tmall-was-in-cemetery.html</link>
		<comments>http://datafanr.com/data/tmall-was-in-cemetery.html#comments</comments>
		<pubDate>Thu, 12 Jan 2012 11:47:04 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[品牌墓地]]></category>
		<category><![CDATA[天猫]]></category>
		<category><![CDATA[淘宝]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2217</guid>
		<description><![CDATA[按：转一篇文章，是我的大学里讲市场调查的刘德寰老师今天新发表的，讲淘宝商城为什么改名叫天猫。分析很透彻，咱晚辈还是得多学习。古有狸猫换太子之说，如今淘宝商城改名，也像是在换太子，我们姑且称之为“天猫换太子”（淘宝商城作为淘宝的B2B2C品牌，其地位恐怕不亚于太子吧）。狸猫一案，是被人陷害，属争权夺势之举；天猫一案，虽然是淘宝主动为之，但为的也不外乎权势——市场上的主动权和发展势头。读了刘老师的文章，明白一件事情——不管是黑猫白猫，还是天猫，只要能拯救淘宝商城，它就是好猫。因为毕竟，淘宝商城在品牌墓地里，已经呆了至少三个季度了……（原文链接） 2011年1月11日，“天猫”出笼，瞬间成为舆论焦点，点评、搞笑、批评、挖苦充斥微博，人们关注的都是名字本身，而基本上没有探讨这只“猫”为什么来到这个世界。实际上，“天猫”出笼实属必然。 “天猫”不来，淘宝商城危险 电子商务竞争烈化，已经迅速导致一些看似优秀的品牌进入到人们的头脑墓地中，第一象限市场咨询（北京）有限公司（@第一象限upperplus ）监测的电子商务品牌墓地优化模型中发现：中国有名气的电子商务品牌已经有多个品牌连续三个季度徘徊在“墓地”中，淘宝商城是墓地品牌的典型代表。 以上连续三个季度的电子商务品牌墓地优化模型已经清晰地显示，同为“老大”的c2c淘宝网和b2c淘宝商城天壤之别，一个极端强势，一个扎根墓地。如果不改变淘宝网与淘宝商城的名称，在广义B2C电子商务网站的激烈竞争中，淘宝商城必然会一直处于守势，甚至会泡沫化。 如第一象限UP网购指数预测模型所示，2012年，淘宝商城如果还是在原来的名称上运行，会品牌资产贬值，发展态势堪忧。 改变品牌名称会打破原来的品牌禁锢，重建良性。这是为什么“天猫”出笼的本质原因。@天猫 微博上也说“是基于对天猫基因的战略寻找与其未来的战略展望所作出的决策，也是阿里巴巴集团形成并进一步完善生态体系的战略决定。” &#160; 品牌禁锢 淘宝一直以来是中国电子商务的代名词，提起电子商务，人们首先的联想就是淘宝，但是淘宝网和淘宝商城是一个“品牌延伸”出来的孪生兄弟，在开疆拓土 阶段，品牌延伸能够迅速将一个C2C网站的品牌给另外一个B2C品牌带来市场认知，孪生兄弟共同发展。而一旦双生兄弟都成为C2C网站和B2C网站的老大 的时候，品牌混淆就严重地禁锢了这两个兄弟的品牌发展。 品牌延伸最危险的是荣辱与共，“辱”如果不能切割，面临的品牌危险几乎不需要说明，大家都知道危害，台湾民进党与陈水扁就是典型的案例。实际上， “荣”也是如此。“荣”能够带来利益同时，也会使得品牌市场定位互相拉近，无法施展拳脚，左右难以逢源。以本次“天猫”取代淘宝商城为例，C2C的淘宝 网，品牌定位上除了大而全之外，难以找到核心的市场细分，但是B2C网站的竞争就完全不同了，无论是京东、当当、亚马逊、凡客，还是原来实体店出身的苏 宁、国美等都有一定的市场细分与定位，发展势头迅猛，作为“老大”的淘宝商城给人的感觉只剩“大而全”，市场风险会越来越大，竞争手段越来越少，与淘宝网 的切割实属必然，这是打破品牌禁锢的唯一手段，也是最聪明的手段。 &#160; “天猫”名称待商榷 淘宝商城改名“天猫”从战略上是完全正确的，是走出品牌墓地，打破品牌禁锢的唯一出路，但是不等于名称正确。 “天猫”一词的产生，@天猫 微博这样解释“‘淘宝商城”、’正式更名为“、‘天猫’（Tmall.com）。猫是性感而有品位的，天猫网购，代表的就是时尚、性感、潮流和品质；猫天 生挑剔，挑剔品质，挑剔品牌，挑剔环境，这恰好就是天猫网购要全力打造的品质之城。以后请叫我们天猫。喵~” 这是典型的IT人士的自我解读，而不是消费者解读，一个品牌要想成就长久，名称选择一定要慎之又慎，必须经过严格的投射实验测试，否则“自解”与“他解”会出现冲突。猫是人类最熟悉的动物之一，熟悉就会有歧义，这就是为什么很多明星代言的广告效果会打折扣的原因。在品牌构建过程中，选择动物名称无可厚非，但是本次“天猫”名称有点中国传统社会的习惯——“贱名好养”，而忽略了一个名字的堂正感。狮子、狼、虎、海豚、狐狸、鹰等等都对于人来讲都有遐想，又不熟悉，适合品牌名。 猫很萌，流浪的观感不好；猫有灵性，出去了就不回家；猫挑剔，饥饿的到处刨食；纯种猫很时尚，杂色的满街跑……不说了，祝@天猫 @天猫逍遥子 性感而有品位地成长！ 数据来源：第一象限市场咨询（北京）有限公司 也许你还喜欢：丢的尽是书他妈的胸]]></description>
			<content:encoded><![CDATA[<blockquote><p>按：转一篇文章，是我的大学里讲市场调查的刘德寰老师今天新发表的，讲淘宝商城为什么改名叫天猫。分析很透彻，咱晚辈还是得多学习。古有狸猫换太子之说，如今淘宝商城改名，也像是在换太子，我们姑且称之为“天猫换太子”（淘宝商城作为淘宝的B2B2C品牌，其地位恐怕不亚于太子吧）。狸猫一案，是被人陷害，属争权夺势之举；天猫一案，虽然是淘宝主动为之，但为的也不外乎权势——市场上的主动权和发展势头。读了刘老师的文章，明白一件事情——不管是黑猫白猫，还是天猫，只要能拯救淘宝商城，它就是好猫。因为毕竟，淘宝商城在品牌墓地里，已经呆了至少三个季度了……（<a href="http://www.upperplus.cn/archives/1911.html" target="_blank">原文链接</a>）</p></blockquote>
<p>2011年1月11日，“天猫”出笼，瞬间成为舆论焦点，点评、搞笑、批评、挖苦充斥微博，人们关注的都是名字本身，而基本上没有探讨这只“猫”为什么来到这个世界。实际上，“天猫”出笼实属必然。<br />
<span id="more-2217"></span></p>
<h3>“天猫”不来，淘宝商城危险</h3>
<p>电子商务竞争烈化，已经迅速导致一些看似优秀的品牌进入到人们的头脑墓地中，第一象限市场咨询（北京）有限公司（@第一象限upperplus ）监测的<strong>电子商务品牌墓地优化模型</strong>中发现：<strong>中国有名气的电子商务品牌已经有多个品牌连续三个季度徘徊在“墓地”中，淘宝商城是墓地品牌的典型代表。</strong></p>
<p><center><img title="第一象限电子商务品牌墓地优化模型（第二季度）" src="http://www.upperplus.cn/wp-content/uploads/Q2.jpg" alt="第一象限电子商务品牌墓地优化模型（第二季度）" /></center><center><img title="第一象限电子商务品牌墓地优化模型（第三季度）" src="http://www.upperplus.cn/wp-content/uploads/Q3.jpg" alt="第一象限电子商务品牌墓地优化模型（第三季度）" /></center><center><img title="第一象限电子商务品牌墓地优化模型（第四季度）" src="http://www.upperplus.cn/wp-content/uploads/Q4.jpg" alt="第一象限电子商务品牌墓地优化模型（第四季度）" /></center>以上连续三个季度的电子商务品牌墓地优化模型已经清晰地显示，同为“老大”的c2c淘宝网和b2c淘宝商城天壤之别，一个极端强势，一个扎根墓地。如果不改变淘宝网与淘宝商城的名称，在广义B2C电子商务网站的激烈竞争中，淘宝商城必然会一直处于守势，甚至会泡沫化。</p>
<p><center><img title="2012年UP网购指数预测模型" src="http://www.upperplus.cn/wp-content/uploads/predict.jpg" alt="2012年UP网购指数预测模型" /></center>如第一象限UP网购指数预测模型所示，2012年，淘宝商城如果还是在原来的名称上运行，会品牌资产贬值，发展态势堪忧。</p>
<p>改变品牌名称会打破原来的品牌禁锢，重建良性。这是为什么“天猫”出笼的本质原因。@天猫 微博上也说“是基于对天猫基因的战略寻找与其未来的战略展望所作出的决策，也是阿里巴巴集团形成并进一步完善生态体系的战略决定。”</p>
<p>&nbsp;</p>
<h3>品牌禁锢</h3>
<p>淘宝一直以来是中国电子商务的代名词，提起电子商务，人们首先的联想就是淘宝，但是淘宝网和淘宝商城是一个“品牌延伸”出来的孪生兄弟，在开疆拓土 阶段，品牌延伸能够迅速将一个C2C网站的品牌给另外一个B2C品牌带来市场认知，孪生兄弟共同发展。而一旦双生兄弟都成为C2C网站和B2C网站的老大 的时候，品牌混淆就严重地禁锢了这两个兄弟的品牌发展。</p>
<p>品牌延伸最危险的是荣辱与共，“辱”如果不能切割，面临的品牌危险几乎不需要说明，大家都知道危害，台湾民进党与陈水扁就是典型的案例。实际上， “荣”也是如此。“荣”能够带来利益同时，也会使得品牌市场定位互相拉近，无法施展拳脚，左右难以逢源。以本次“天猫”取代淘宝商城为例，C2C的淘宝 网，品牌定位上除了大而全之外，难以找到核心的市场细分，但是B2C网站的竞争就完全不同了，无论是京东、当当、亚马逊、凡客，还是原来实体店出身的苏 宁、国美等都有一定的市场细分与定位，发展势头迅猛，作为“老大”的淘宝商城给人的感觉只剩“大而全”，市场风险会越来越大，竞争手段越来越少，与淘宝网 的切割实属必然，这是打破品牌禁锢的唯一手段，也是最聪明的手段。</p>
<p>&nbsp;</p>
<h3>“天猫”名称待商榷</h3>
<p>淘宝商城改名“天猫”从战略上是完全正确的，是走出品牌墓地，打破品牌禁锢的唯一出路，但是不等于名称正确。</p>
<p>“天猫”一词的产生，@天猫 微博这样解释“‘淘宝商城”、’正式更名为“、‘天猫’（Tmall.com）。猫是性感而有品位的，天猫网购，代表的就是时尚、性感、潮流和品质；猫天 生挑剔，挑剔品质，挑剔品牌，挑剔环境，这恰好就是天猫网购要全力打造的品质之城。以后请叫我们天猫。喵~”</p>
<p>这是典型的IT人士的自我解读，而不是消费者解读，一个品牌要想成就长久，名称选择一定要慎之又慎，必须经过严格的<strong>投射实验测试</strong>，否则“自解”与“他解”会出现冲突。猫是人类最熟悉的动物之一，熟悉就会有歧义，这就是为什么很多明星代言的广告效果会打折扣的原因。<strong>在品牌构建过程中，选择动物名称无可厚非，但是本次“天猫”名称有点中国传统社会的习惯——“贱名好养”，而忽略了一个名字的堂正感。</strong>狮子、狼、虎、海豚、狐狸、鹰等等都对于人来讲都有遐想，又不熟悉，适合品牌名。</p>
<p>猫很萌，流浪的观感不好；猫有灵性，出去了就不回家；猫挑剔，饥饿的到处刨食；纯种猫很时尚，杂色的满街跑……不说了，祝@天猫 @天猫逍遥子 性感而有品位地成长！</p>
<p>数据来源：第一象限市场咨询（北京）有限公司</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/diary/lost_my_book.html" title="丢的尽是书">丢的尽是书</a></li><li><a href="http://datafanr.com/diary/his_mothers_breast.html" title="他妈的胸">他妈的胸</a></li></ul>]]></content:encoded>
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		<item>
		<title>学校里不会教的8堂咨询课</title>
		<link>http://datafanr.com/data/8-consulting-lessons-they-dont-teach-you-in-school.html</link>
		<comments>http://datafanr.com/data/8-consulting-lessons-they-dont-teach-you-in-school.html#comments</comments>
		<pubDate>Tue, 10 Jan 2012 12:55:06 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[咨询]]></category>
		<category><![CDATA[报价]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2205</guid>
		<description><![CDATA[学校里不会教的8堂咨询课——从制定报价到炒掉你的客户，大学课程可顾不上咨询的这些细枝末节！来看看这8堂大学老师不会教你的课吧： 1.营销不一定会害人 营销可以被看作是必要的恶，或者说它是自给自足的。营销不一定要伤害谁。学会爱上营销和人际网络，你会得到回报的。 2.成功的咨询师不都是外向开朗的 害羞吗？即便你的个内向的人，也可以建立起自己的商务人际网络。事实上，内向性格能给工作带来特殊的技能（优势）。充分利用你自己的性格，内向或者外向都没有问题。 3.你也可以炒掉你的客户 没有得到你应得的尊重吗？你的客户是个事儿逼还是个要这要那的无底洞？作为一名咨询师，炒掉你的客户也是种选择，一直都是。 4.如何制定咨询报价 制定报价是咨询工作最重要的事情，之一。点这里可以了解所有关于咨询费用制定的内容。 5.有时候，说“不”是最好的决定 每次当你对一件事情说“是”的时候，你事实上也对另一件事情说了“不”。你想做个专家，还是个通才？你应该做对你真正有意义的事情。 6.如何确立你的专家地位 咨询师被雇佣，是因为他们有一技之长。这里有一些优秀的秘诀教你确立你的专家地位——非常有用，即使不一定能成为行业的世界首席专家。 7.客户不给钱怎么办 这个事儿最后一定会发生。你知道当客户不想给钱的时候，你应该怎么办吗？这里有一个提纲，里面讲述了当客户不给钱的时候你应该采取的步骤。 8.咨询戒律 从工作－生活平衡到选择你自己的合作者及客户，点这里了解8条咨询戒律。 译自Consultant Journal，原文链接：http://consultantjournal.com/blog/8-consulting-lessons-they-dont-teach-you-in-school 亲，看我的博客这么久了，如果你喜欢，可以考虑一下订阅。如果你只喜欢关于数据分析的文章而不喜欢扯淡的文章，或者反过来，你可以打开Datafanr.com，点击每个分类之后的订阅按钮。 也许你还喜欢：游戏厅里的少年咨询师咨询它是个什么玩意？]]></description>
			<content:encoded><![CDATA[<p><img class="size-full wp-image-2215 aligncenter" title="8lessons" src="http://datafanr.com/wp-content/uploads/2012/01/8lessons.jpg" alt="" width="500" height="387" /></p>
<p>学校里不会教的8堂咨询课——从制定报价到炒掉你的客户，大学课程可顾不上咨询的这些细枝末节！来看看这8堂大学老师不会教你的课吧：</p>
<h3>1.营销不一定会害人</h3>
<p>营销可以被看作<a href="http://consultantjournal.com/blog/marketing-turn-a-necessary-evil-into-self-nurture" target="_blank">是必要的恶，或者说它是自给自足的</a>。营销不一定要伤害谁。<a href="http://consultantjournal.com/blog/easy-sure-fire-way-to-meet-400-people" target="_blank">学会爱上营销和人际网络</a>，你会得到回报的。</p>
<h3>2.成功的咨询师不都是外向开朗的</h3>
<p>害羞吗？<a href="http://consultantjournal.com/blog/building-a-business-network-for-introverts" target="_blank">即便你的个内向的人，也可以建立起自己的商务人际网络。</a>事实上，内向性格能给工作带来特殊的技能（优势）。充分利用你自己的性格，内向或者外向都没有问题。<br />
<span id="more-2205"></span></p>
<h3>3.你也可以炒掉你的客户</h3>
<p>没有得到你应得的尊重吗？你的客户是个事儿逼还是个要这要那的无底洞？<a href="http://consultantjournal.com/blog/fire-your-customers-or-dont-fire-your-customers" target="_blank">作为一名咨询师，炒掉你的客户也是种选择，一直都是。</a></p>
<h3>4.如何制定咨询报价</h3>
<p>制定报价是咨询工作最重要的事情，之一。<a href="http://consultantjournal.com/blog/setting-consulting-fee-rates" target="_blank">点这里</a>可以了解所有关于咨询费用制定的内容。</p>
<h3>5.有时候，说“不”是最好的决定</h3>
<p>每次当你对一件事情说“是”的时候，你事实上也对另一件事情说了“不”。你想做个专家，还是个通才？<a href="http://consultantjournal.com/blog/do-you-do-x" target="_blank">你应该做对你真正有意义的事情。</a></p>
<h3>6.如何确立你的专家地位</h3>
<p>咨询师被雇佣，是因为他们有一技之长。这里有一些优秀的秘诀教你<a href="http://consultantjournal.com/blog/have-the-confidence-to-see-yourself-as-an-expert" target="_blank">确立你的专家地位</a>——非常有用，即使不一定能成为行业的世界首席专家。</p>
<h3>7.客户不给钱怎么办</h3>
<p>这个事儿最后一定会发生。你知道当客户不想给钱的时候，你应该怎么办吗？<a href="http://consultantjournal.com/blog/when-a-client-doesnt-pay" target="_blank">这里</a>有一个提纲，里面讲述了当客户不给钱的时候你应该采取的步骤。</p>
<h3>8.咨询戒律</h3>
<p>从工作－生活平衡到选择你自己的合作者及客户，<a href="http://consultantjournal.com/blog/8-reasons-consulting-rules" target="_blank">点这里</a>了解8条咨询戒律。</p>
<p>译自Consultant Journal，原文链接：<a href="http://consultantjournal.com/blog/8-consulting-lessons-they-dont-teach-you-in-school" target="_blank">http://consultantjournal.com/blog/8-consulting-lessons-they-dont-teach-you-in-school</a></p>
<p>亲，看我的博客这么久了，如果你喜欢，可以考虑一下<a href="http://datafanr.com/feed" target="_blank">订阅</a>。如果你只喜欢关于数据分析的文章而不喜欢扯淡的文章，或者反过来，你可以打开<a href="http://datafanr.com" target="_blank">Datafanr.com</a>，点击每个分类之后的订阅按钮。</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/diary/game-consultant-2.html" title="游戏厅里的少年咨询师">游戏厅里的少年咨询师</a></li><li><a href="http://datafanr.com/data/what-is-consulting.html" title="咨询它是个什么玩意？">咨询它是个什么玩意？</a></li></ul>]]></content:encoded>
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		<title>Excel做矩阵图的三种方法</title>
		<link>http://datafanr.com/data/excel-matrix.html</link>
		<comments>http://datafanr.com/data/excel-matrix.html#comments</comments>
		<pubDate>Mon, 09 Jan 2012 15:21:10 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[Excel]]></category>
		<category><![CDATA[图表]]></category>
		<category><![CDATA[矩阵图]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2196</guid>
		<description><![CDATA[引子：波士顿矩阵 不久之前，网上流传着这样一则笑话： 波士顿咨询集团（BCG）17日宣布，已聘请行业排名第一的麦肯锡做战略咨询，希望能取代麦肯锡成为行业第第一。麦肯锡欣然接受了这一单子，并希望能保住波士顿这个客户至少五年。更有戏剧性的是，麦肯锡已经决定用著名的波士顿矩阵来做这一战略。 笑话归笑话，我们也能从中看出波士顿矩阵已为人所熟知。波士顿矩阵根据相对市场份额和市场增长率的高低，把第一象限分成四个区域，落在四个区域产品（或者品牌）依次被称为明星产品、金牛产品、问题产品和瘦狗产品。 图片出处：方少华等编著《管理咨询工具箱》 当然，各家都有各家定制或者改善的矩阵模型，波士顿矩阵只是其中名气比较大的。众多矩阵模型大同小异，关键的部分是用几条分割线把整个区域分开，今天不讨论别的，单说这几条线怎么画，以两条线分四部分为例。 要实现矩阵图里的分割线，常用的有三种方法： 1.插入形状，手动画线 方法：选中图表，点菜单栏“插入&#8211;&#62;形状中的直线”，提醒一点，画线的时候按住Shift键拖动鼠标，可以使画出的线保持水平或竖直。这里分割线所处的位置是横轴或纵轴的均值（下同）。 注：为了区分，我将中间两条线画成了橙色（可以根据需要改成灰色），方框上面和右面的线是通过“双击图表&#8211;&#62;设置绘图区格式”设置的。 这种方法的优点是直接，容易想到，缺点是需要人工调整线的长短和位置（要求精确的话，长短和位置的调整并不简单直观），另外，如果调整了图表大小、数据或者坐标轴的最大最小值，分割线需要再移动位置。 2.移动坐标轴，以轴为线 方法：双击坐标轴，在“坐标轴选项&#8211;&#62;纵坐标轴交叉”中填入分割线的位置。 效果如下： 注：双击横轴，设置“纵坐标交叉”，使纵轴平移；双击纵轴，设置“横坐标”交叉，使横轴平移。 为了显示操作步骤，坐标轴上的刻度线及标签未删除，可以双击坐标轴将刻度线类型及坐标轴标签设为“无”，以获得更好的显示效果。如果还需要原来位置的横纵坐标，可以手动绘制。 这种方法的优点是较为简洁，分割线的位置也可以自动调节，如果对坐标轴及刻度线要求不高，可以采用。如果需要原有的坐标轴，则稍微有些麻烦。 3.散点连线，点动成线 方法： （1）在原x轴及y轴数据后插入四列，分别是x均值、y均值、x分布和y分布。顾名思义，均值表示的是x或y的均值，所有行都是一样的值。而x分布可以填入x可能取的所有值，比如本例中x取0到9（这个完全可以从无限小取到无限大，超出的部分不会显示在图中）。 （2）选中图表，单击菜单栏“设计&#8211;&#62;选择数据”。 （3）在弹出的对话框中选左侧“添加”图例项。系列名称可以随便填，例如xmean，X轴系列值选x的均值那一列，Y轴系列值选择y分布那列值（都不含首行标题）。 两次确定后，得到如下图： （4）选中新出来的这个方框序列，右键&#8211;&#62;更改系列图表类型，选择散点图中的第三个（带平滑线的散点图）。得到如下图： （5）调整一下这条线的样式，按相同的思路画出纵轴均值。最终效果如下： 注：添加这两条线的过程中，如果没有给坐标轴选择最大及最小值，可能会出现错位（如本例中纵坐标最大值可能会变成10），不用担心，手动设置一下最大值即可。 这种方法的优点最多，既能精确画出分割线的位置（不随图像调整而变化），又能保留原有坐标轴。缺点当然是，操作步骤最多。 需要的话，可以下载我作图时的文件参考：微盘下载 &#124; Dbank下载 附：本例采用散点图加标签工具http://t.excelhome.net/thread-1075-1-1.html 也许你还喜欢：在Excel 2007中插入柱状-折线复合图]]></description>
			<content:encoded><![CDATA[<h3>引子：波士顿矩阵</h3>
<p>不久之前，网上流传着这样一则笑话：</p>
<p>波士顿咨询集团（BCG）17日宣布，已聘请行业排名第一的麦肯锡做战略咨询，希望能取代麦肯锡成为行业第第一。麦肯锡欣然接受了这一单子，并希望能保住波士顿这个客户至少五年。更有戏剧性的是，麦肯锡已经决定用著名的波士顿矩阵来做这一战略。</p>
<p><span id="more-2196"></span>笑话归笑话，我们也能从中看出波士顿矩阵已为人所熟知。波士顿矩阵根据相对市场份额和市场增长率的高低，把第一象限分成四个区域，落在四个区域产品（或者品牌）依次被称为明星产品、金牛产品、问题产品和瘦狗产品。</p>
<p><img class="size-full wp-image-2198 aligncenter" title="boston_matrix" src="http://datafanr.com/wp-content/uploads/2012/01/boston_matrix.jpg" alt="" width="578" height="289" /></p>
<p style="text-align: center;">图片出处：方少华等编著《管理咨询工具箱》</p>
<p>当然，各家都有各家定制或者改善的矩阵模型，波士顿矩阵只是其中名气比较大的。众多矩阵模型大同小异，关键的部分是用几条分割线把整个区域分开，今天不讨论别的，单说这几条线怎么画，以两条线分四部分为例。</p>
<p>要实现矩阵图里的分割线，常用的有三种方法：</p>
<h3>1.插入形状，手动画线</h3>
<p>方法：选中图表，点菜单栏“插入&#8211;&gt;形状中的直线”，提醒一点，画线的时候按住Shift键拖动鼠标，可以使画出的线保持水平或竖直。这里分割线所处的位置是横轴或纵轴的均值（下同）。</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>注：为了区分，我将中间两条线画成了橙色（可以根据需要改成灰色），方框上面和右面的线是通过“双击图表&#8211;&gt;设置绘图区格式”设置的。</p>
<p>这种方法的优点是直接，容易想到，缺点是需要人工调整线的长短和位置（要求精确的话，长短和位置的调整并不简单直观），另外，如果调整了图表大小、数据或者坐标轴的最大最小值，分割线需要再移动位置。</p>
<h3>2.移动坐标轴，以轴为线</h3>
<p>方法：双击坐标轴，在“坐标轴选项&#8211;&gt;纵坐标轴交叉”中填入分割线的位置。</p>
<p><img 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" alt="" /></p>
<p>效果如下：</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>注：双击横轴，设置“纵坐标交叉”，使纵轴平移；双击纵轴，设置“横坐标”交叉，使横轴平移。</p>
<p>为了显示操作步骤，坐标轴上的刻度线及标签未删除，可以双击坐标轴将刻度线类型及坐标轴标签设为“无”，以获得更好的显示效果。如果还需要原来位置的横纵坐标，可以手动绘制。</p>
<p>这种方法的优点是较为简洁，分割线的位置也可以自动调节，如果对坐标轴及刻度线要求不高，可以采用。如果需要原有的坐标轴，则稍微有些麻烦。</p>
<h3>3.散点连线，点动成线</h3>
<p>方法：</p>
<p>（1）在原x轴及y轴数据后插入四列，分别是x均值、y均值、x分布和y分布。顾名思义，均值表示的是x或y的均值，所有行都是一样的值。而x分布可以填入x可能取的所有值，比如本例中x取0到9（这个完全可以从无限小取到无限大，超出的部分不会显示在图中）。</p>
<p>（2）选中图表，单击菜单栏“设计&#8211;&gt;选择数据”。</p>
<p><img 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" alt="" /></p>
<p>（3）在弹出的对话框中选左侧“添加”图例项。系列名称可以随便填，例如xmean，X轴系列值选x的均值那一列，Y轴系列值选择y分布那列值（都不含首行标题）。</p>
<p><img 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" alt="" /></p>
<p>两次确定后，得到如下图：</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>（4）选中新出来的这个方框序列，右键&#8211;&gt;更改系列图表类型，选择散点图中的第三个（带平滑线的散点图）。得到如下图：</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>（5）调整一下这条线的样式，按相同的思路画出纵轴均值。最终效果如下：</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>注：添加这两条线的过程中，如果没有给坐标轴选择最大及最小值，可能会出现错位（如本例中纵坐标最大值可能会变成10），不用担心，手动设置一下最大值即可。</p>
<p>这种方法的优点最多，既能精确画出分割线的位置（不随图像调整而变化），又能保留原有坐标轴。缺点当然是，操作步骤最多。</p>
<p>需要的话，可以下载我作图时的文件参考：<a href="http://vdisk.weibo.com/s/1TZg4" target="_blank">微盘下载</a> | <a href="http://dl.dbank.com/c0lmujb6b0" target="_blank">Dbank下载</a></p>
<p>附：本例采用散点图加标签工具<a href="http://t.excelhome.net/thread-1075-1-1.html" target="_blank">http://t.excelhome.net/thread-1075-1-1.html</a></p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/data/excel-mixed-figure.html" title="在Excel 2007中插入柱状-折线复合图">在Excel 2007中插入柱状-折线复合图</a></li></ul>]]></content:encoded>
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		<pubDate>Sun, 08 Jan 2012 15:53:27 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
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		<category><![CDATA[粪]]></category>

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		<description><![CDATA[微博还真是个是非之地。 好多东西想说，却又不能说。为什么不能说，主要是怕： 1.怕说得不够到位被好事者挑刺儿 2.怕太多隐私被人窥视（万一被数据挖掘者一下子挖到我的祖坟怎么办） 3.怕个人态度被人围攻 今天又多了一怕：怕被人拿来做品格甚至道德鉴定，给将来可能对你很重要的人留下不好的第一印象。 @薛蛮子老师说，没有微博的人不会给投资，可以通过微博了解人的价值观和品性…… 看完我就笑了，想起老郭一句话来：相声里说的都是假的。 微博上也未必是真的，要是真能上升到能了解价值观和品性的高度，那微博也确实太牛逼了，政府也太应该监管微博了。 对普通人来说，微博也就是个乐呵乐呵的玩意儿；对真正牛逼的人来说，也不会把微博太当真。 也许你会说，自己会分辨别人微博上哪些是真话，哪些是调侃。也许你是对的，但不全对。 个人微博上说的话，可以拿来参考，也可以拿来研究，或者有人去做了文本分析。但无论如何，这些都是定性分析，定性分析是主观的，每个人对同一个东西都有不同的解读，每种解读都是对的，也都是片面的，不可轻信。 对于给风投到底要不要看微博的事，我是这么想的：首先，不能要求人家必须有微博，这个门槛放这里的话，肯定好多天才好多好项目就被拒之门外了；其次，有微博你可以去看，但不能乱下结论乱出推断，最好是只看不评，不要有第一印象，你根据微博得出的所有结论都是假象，只作参考不作评判标准；有的人，微博写得特别好，处理与别人的关系上措辞上都特别符合你的标准，也要特别小心，别忘了这世界上有种人叫演员。 想想风投，想想招聘，这都是多么主观和荒唐的事情。所有做选择的人都认为自己的选择标准是合理的，自己挑出来的人是正确的人，自己是公正无私的。但，这不可能。 如果我的微博会被别人用来推断我的品性，那么我是不敢用微博了。 &#160; ————————————我是跑题的分割线———————————— &#160; 周末回家，手机拍了几张照片给大家看看。 1.这一堆叫做粪。粪与屎是不同的，至少我这么认为。屎是一坨一坨的，而粪是一堆一堆的。屎是臭的，让人恶心；粪虽然也臭也恶心，但却能让庄稼长得好。有名言说，一滴水，只有融入大海才不会干涸。屎也是这个道理，一坨屎，只有融入粪堆，才能实现自己的价值，团结就是力量！ 2.京津城际，京津两地送的水已经不一样了。左边的这个是北京南站给的水，又矮又胖的；右边这个是天津站给的水，又高又瘦的。 3.三年才能回一次家的穷人。看看城际杂志上的这张图： 也许你还喜欢：微博营销群@策略：提取搜索结果中的ID腾讯微博邀请三只&#8220;微博&#8221;的前世今生]]></description>
			<content:encoded><![CDATA[<p>微博还真是个是非之地。</p>
<p>好多东西想说，却又不能说。为什么不能说，主要是怕：</p>
<blockquote><p>1.怕说得不够到位被好事者挑刺儿</p>
<p>2.怕太多隐私被人窥视（万一被数据挖掘者一下子挖到我的祖坟怎么办）</p>
<p>3.怕个人态度被人围攻</p></blockquote>
<p>今天又多了一怕：<strong>怕被人拿来做品格甚至道德鉴定</strong>，给将来可能对你很重要的人留下不好的第一印象。</p>
<p><span id="more-2188"></span>@薛蛮子老师说，没有微博的人不会给投资，可以通过微博了解人的价值观和品性……</p>
<p><img class="alignnone size-full wp-image-2189" title="weibo_kaifu" src="http://datafanr.com/wp-content/uploads/2012/01/weibo_kaifu.jpg" alt="" width="581" height="294" /></p>
<p>看完我就笑了，想起老郭一句话来：相声里说的都是假的。</p>
<p>微博上也未必是真的，要是真能上升到能了解价值观和品性的高度，那微博也确实太牛逼了，政府也太应该监管微博了。</p>
<p>对普通人来说，微博也就是个乐呵乐呵的玩意儿；对真正牛逼的人来说，也不会把微博太当真。</p>
<p>也许你会说，自己会分辨别人微博上哪些是真话，哪些是调侃。也许你是对的，但不全对。</p>
<p>个人微博上说的话，可以拿来参考，也可以拿来研究，或者有人去做了文本分析。但无论如何，这些都是定性分析，定性分析是主观的，每个人对同一个东西都有不同的解读，每种解读都是对的，也都是片面的，不可轻信。</p>
<p>对于给风投到底要不要看微博的事，我是这么想的：首先，不能要求人家必须有微博，这个门槛放这里的话，肯定好多天才好多好项目就被拒之门外了；其次，有微博你可以去看，但不能乱下结论乱出推断，最好是只看不评，不要有第一印象，你根据微博得出的所有结论都是假象，只作参考不作评判标准；有的人，微博写得特别好，处理与别人的关系上措辞上都特别符合你的标准，也要特别小心，别忘了这世界上有种人叫演员。</p>
<p>想想风投，想想招聘，这都是多么主观和荒唐的事情。所有做选择的人都认为自己的选择标准是合理的，自己挑出来的人是正确的人，自己是公正无私的。但，这不可能。</p>
<p>如果我的微博会被别人用来推断我的品性，那么我是不敢用微博了。</p>
<p>&nbsp;</p>
<p>————————————我是跑题的分割线————————————</p>
<p>&nbsp;</p>
<p>周末回家，手机拍了几张照片给大家看看。</p>
<p>1.这一堆叫做粪。粪与屎是不同的，至少我这么认为。屎是一坨一坨的，而粪是一堆一堆的。屎是臭的，让人恶心；粪虽然也臭也恶心，但却能让庄稼长得好。有名言说，一滴水，只有融入大海才不会干涸。屎也是这个道理，<strong>一坨屎，只有融入粪堆，才能实现自己的价值，团结就是力量！</strong></p>
<p><img class="alignnone  wp-image-2190" title="fen" src="http://datafanr.com/wp-content/uploads/2012/01/fen.jpg" alt="" width="560" height="420" /></p>
<p>2.京津城际，京津两地送的水已经不一样了。左边的这个是北京南站给的水，又矮又胖的；右边这个是天津站给的水，又高又瘦的。</p>
<p><img class="alignnone size-full wp-image-2191" title="shui_chengji" src="http://datafanr.com/wp-content/uploads/2012/01/shui_chengji.jpg" alt="" width="427" height="488" /></p>
<p>3.三年才能回一次家的穷人。看看城际杂志上的这张图：</p>
<p><img class="alignnone size-full wp-image-2192" title="huijia_piao" src="http://datafanr.com/wp-content/uploads/2012/01/huijia_piao.jpg" alt="" width="417" height="410" /></p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/media/group-at.html" title="微博营销群@策略：提取搜索结果中的ID">微博营销群@策略：提取搜索结果中的ID</a></li><li><a href="http://datafanr.com/it/t-qq-com-invite.html" title="腾讯微博邀请三只">腾讯微博邀请三只</a></li><li><a href="http://datafanr.com/it/thehistoryofminiblog.html" title="&ldquo;微博&rdquo;的前世今生">&ldquo;微博&rdquo;的前世今生</a></li></ul>]]></content:encoded>
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		<title>统计让我哭：有趣中用的统计行业网站</title>
		<link>http://datafanr.com/data/stats_make_me_cry.html</link>
		<comments>http://datafanr.com/data/stats_make_me_cry.html#comments</comments>
		<pubDate>Fri, 06 Jan 2012 15:39:16 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[spss]]></category>
		<category><![CDATA[博客]]></category>
		<category><![CDATA[统计]]></category>
		<category><![CDATA[网站]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2180</guid>
		<description><![CDATA[STATS MAKE ME CRY（统计让我哭，姑且这么翻译吧），是一个关于统计的网站，有意思有态度的网站，最重要的是，有用。 我有一次搜索SPSS某个命令的时候，偶然发现了它。 网站是这么自我介绍的： Stats Make Me Cry is a place to share ideas and find answers to your statistics and data analysis questions.  Look around, tell a friend, and come back soon! For in-depth data analysis help, check out our comprehensive consulting services.  I can help if you are a graduate student, someone [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.statsmakemecry.com/" target="_blank">STATS MAKE ME CRY</a>（统计让我哭，姑且这么翻译吧），是一个关于统计的网站，有意思有态度的网站，最重要的是，有用。</p>
<p><img class="alignnone size-full wp-image-2186" title="statsmakemecry" src="http://datafanr.com/wp-content/uploads/2012/01/statsmakemecry.png" alt="" width="609" height="162" /></p>
<p>我有一次搜索SPSS某个命令的时候，偶然发现了它。</p>
<p><span id="more-2180"></span>网站是这么自我介绍的：</p>
<blockquote><p><em><strong>Stats Make Me Cry</strong></em> is a place to share ideas and find answers to your statistics and data analysis questions.  Look around, tell a friend, and come back soon! For in-depth data analysis help, check out our <a href="http://www.statsmakemecry.com/statistics-help/">comprehensive consulting services. </a> I can help if you are a graduate student, someone that is ABD (All But Dissertation), or a professional looking for some statistical perspective.</p>
<p>不靠谱翻译：<strong>统计让我哭</strong>是这么个地方，你可以分享关于统计和数据分析问题的想法、找到想要的答案。瞧一瞧，看一看，跟你的朋友说一说，然后，马上回来。需要深入的数据分析方面的帮助，可以看看俺们的<a href="http://www.statsmakemecry.com/statistics-help/" target="_blank">综合咨询服务</a>。你要是个研究僧的话，俺可以帮你，啥都能帮，只要不是写论文。你要是干这行的，想找点统计方面的东西，俺也可以帮上点忙。</p></blockquote>
<p>网站提供了统计方面的视屏、博客、论坛、社交网络、有趣的小玩意儿、所有人问俺一个人（<span class='bm_keywordlink'><a href='http://icewent.com' target="_blank">icewent</a></span>注：这页面貌似已经木有了）、焦点链接，还有统计咨询服务。（<span class='bm_keywordlink'><a href='http://icewent.com' target="_blank">icewent</a></span>注：貌似好多页面都木有了耶）。</p>
<p>网站的<a href="http://www.statsmakemecry.com/bookshelves/" target="_blank">书架频道</a>列出了一些统计相关的书，包括SPSS的、线性回归的，等等；<a href="http://www.statsmakemecry.com/statistics-discussion-forum/" target="_blank">论坛</a>里有一些关于SPSS的话题；<a href="http://www.statsmakemecry.com/stats-video/" target="_blank">视屏</a>频道我这里打不开，也不知道里面有什么。</p>
<p>网站的作者<strong>Jeremy</strong>目前是<a href="http://www.depaul.edu/Pages/default.aspx" target="_blank"><span>德保罗大学</span></a>（这个学校竟然和PKU一样，建于1898年）临床心理学的博士僧一只，自称做过护理、经管、营销、信息系统、财务等很多方面的咨询。</p>
<p>一直在找这种做咨询从业者的个人网站，终于找到这么一个，不知道靠不靠谱，需要观察一段时间。不过无论如何，也比国内某些人假大空的博客要好得多。将来的<a href="http://datafanr.com" target="_blank">数据范儿</a>，也要做成统计让我哭这个样子。</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/data/variable-sets.html" title="Variable Sets：让SPSS选择变量不再麻烦">Variable Sets：让SPSS选择变量不再麻烦</a></li><li><a href="http://datafanr.com/data/find_fx_with_stata.html" title="用Stata找F(x)">用Stata找F(x)</a></li><li><a href="http://datafanr.com/data/tongpeifu.html" title="用word的查找替换功能整理乱糟糟的问卷数据">用word的查找替换功能整理乱糟糟的问卷数据</a></li><li><a href="http://datafanr.com/diary/dianming.html" title="只因为在人群之中你点了我一点">只因为在人群之中你点了我一点</a></li><li><a href="http://datafanr.com/diary/er6.html" title="[贰]点六">[贰]点六</a></li><li><a href="http://datafanr.com/it/medialabpku.html" title="体验P大数字媒体实验室">体验P大数字媒体实验室</a></li></ul>]]></content:encoded>
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		<title>Variable Sets：让SPSS选择变量不再麻烦</title>
		<link>http://datafanr.com/data/variable-sets.html</link>
		<comments>http://datafanr.com/data/variable-sets.html#comments</comments>
		<pubDate>Thu, 05 Jan 2012 14:23:53 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[spss]]></category>
		<category><![CDATA[Variable Sets]]></category>
		<category><![CDATA[变量]]></category>
		<category><![CDATA[方法]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2167</guid>
		<description><![CDATA[0.为什么要用Variable Sets？ 正经使用SPSS五个月了，一直嫌弃它的各种不方便。比如用可视化方式执行一个命令时，要在几百个变量中找啊找一个。 当你用鼠标滚轮向下滚的时候，一个不小心就过去了；掉过头来向上的时候，一个不小心又过去了。要定位一个或几个变量，真是难于上青天。 当然，细心一些，多花几秒，要找到一个或几个变量不是难事。但当你要反复选择很多次的时候（做分析写报告的时候一定会反复选择很多次），那耽误的就不只是几秒钟的功夫了。 还好，SPSS提供了一个变量集合的功能，可以对变量进行分组，必要的时候，可以让变量选择框中只出现某些特定的变量。这样，选择起来，就轻松许多。百里挑一，总比万里挑一要方便很多。 1.Variable Sets是什么？ 这个命令叫Variable Sets（变量集合），SPSS的官方帮助文档里是这么描述的： Defining variable sets Define Variable Sets creates subsets of variables to display in the Data Editor and in dialog box variable lists. Defined variable sets are saved with IBM® SPSS® Statistics data files. Set Name. Set names can be up to 64 bytes. Any characters, including blanks, can be used. Variables in Set. Any combination of numeric and string variables can be included [...]]]></description>
			<content:encoded><![CDATA[<h3>0.为什么要用Variable Sets？</h3>
<p>正经使用SPSS五个月了，一直嫌弃它的各种不方便。比如用可视化方式执行一个命令时，要在几百个变量中找啊找一个。</p>
<p>当你用鼠标滚轮向下滚的时候，一个不小心就过去了；掉过头来向上的时候，一个不小心又过去了。要定位一个或几个变量，真是难于上青天。</p>
<p><span id="more-2167"></span>当然，细心一些，多花几秒，要找到一个或几个变量不是难事。但当你要反复选择很多次的时候（做分析写报告的时候一定会反复选择很多次），那耽误的就不只是几秒钟的功夫了。</p>
<p>还好，<strong>SPSS提供了一个变量集合的功能，可以对变量进行分组，必要的时候，可以让变量选择框中只出现某些特定的变量。这样，选择起来，就轻松许多。</strong>百里挑一，总比万里挑一要方便很多。</p>
<h3>1.Variable Sets是什么？</h3>
<p>这个命令叫<strong>Variable Sets（变量集合）</strong>，SPSS的官方帮助文档里是这么描述的：</p>
<blockquote>
<h1>Defining variable sets</h1>
<p>Define Variable Sets creates subsets of variables to display in the Data Editor and in dialog box variable lists. Defined variable sets are saved with IBM® SPSS® Statistics data files.</p>
<p>Set Name. Set names can be up to 64 bytes. Any characters, including blanks, can be used.</p>
<p>Variables in Set. Any combination of numeric and string variables can be included in a set. The order of variables in the set has no effect on the display order of the variables in the Data Editor or in dialog box variable lists. A variable can belong to multiple sets.</p></blockquote>
<div id="N318D8">
<div>
<blockquote>
<h2>To define variable sets</h2>
<p>1.From the menus choose:</p>
<p>Utilities &gt; Define Variable Sets&#8230;</p>
<p>2.Select the variables that you want to include in the set.</p>
<p>3. Enter a name for the set (up to 64 bytes).</p>
<p>4. Click Add Set.</p></blockquote>
</div>
</div>
<h3>2.定义Variable Sets</h3>
<p>要想使用Variable Sets，你需要先定义一个集合，先在菜单栏里选 Utilities，下拉菜单中选择Define Variable Sets。</p>
<p><img 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" alt="" /></p>
<p>在弹出的对话框中，选择你想要的变量，移动到右边，然后给集合起个名字，点Add Set，一个新的变量集合就生成了。</p>
<p><img 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" alt="" /></p>
<h3>3.使用Variable Sets</h3>
<p>需要使用这个集合时，点工具栏里两个圆圈相交的按钮（Use Variable Sets），就可以在弹出的对话框中选择你想要使用的集合。</p>
<p><img 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" alt="" /></p>
<p>假设我们选择了“人口变量”，点击OK之后，变量视图里就只显示选定集合里的变量，而其他变量都被隐藏了（蓝色部分）。</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>做个Frequencies，变量选择框里，只出现了“人口变量”这个集合中的变量，是不是清爽许多了？</p>
<p><img 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" alt="" /></p>
<p>要选择其他集合，再点那两个小圆圈相交的按钮；要显示所有变量，点右边的两个小圆圈相交按钮（Show All Variables）。</p>
<blockquote><p>一个最简单直接的例子是，一道多选题有四十个选项，每个选项都是0,1变量，想要得到这道多选题中每个选项的比例，而且可能会多次用到这些变量，为了避免一次一次大海捞针，只要把这四十个变量放进一个集合里，选择这个集合，用Means命令，Ctrl+A，移动到右侧，OK就可以了。以后如果这四十个变量还需要做别的命令，可以再选择这个集合。</p></blockquote>
<p>有了Variables Sets，妈妈再也不用担心我的SPSS学习！</p>
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		<title>梦还真是白日梦</title>
		<link>http://datafanr.com/diary/daydream.html</link>
		<comments>http://datafanr.com/diary/daydream.html#comments</comments>
		<pubDate>Mon, 02 Jan 2012 15:33:51 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[7.无主题扯淡]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2162</guid>
		<description><![CDATA[曹大夫跟我说，你要是做梦梦见打羽毛球，那你羽毛球的能力可能会得到提升，梦是有作用的。 还真是这么回事，前几天做梦，梦见自己买火车票的时候，让窗口给开张发票。 那几天我正在凑发票。 昨天做梦，梦见天晚了，必须飞回家。 飞回家的路上，我忽高忽低，左右躲闪，迎面飞来一头又一头的僵尸。。。 为了保护大家不受僵尸欺负，我跟我姐决定保护大家，用的策略是这样的： 僵尸害怕老鼠（我去这是谁说的？），房顶上有一只大老鼠，但地上有一只猫，可能会吃掉老鼠，我们必须除掉这只猫，于是，在猫身上放了一根爆竹，点着了，bang！！！！猫就灰飞烟灭了。。。。 白天想了想，原来是这个游戏： 以及，昨天看《钢的琴》里，在自行车后架上点爆竹的片段。 再有，带老胡转北大经过燕南园时看见的猫…… 果然日有所思，夜有所梦。人类已经不能阻止我的想象力了。 也许你还喜欢：我想学漫画飘飘忽忽上一周【转】我为什么选择Gmail邮箱？微博营销群@策略：提取搜索结果中的ID韩寒与福尔摩斯如果我死了他妈的胸最短.cn域名都被谁占了？[转如何去除msn广告-[2010-04-26]过期]]></description>
			<content:encoded><![CDATA[<p>曹大夫跟我说，你要是做梦梦见打羽毛球，那你羽毛球的能力可能会得到提升，梦是有作用的。</p>
<p>还真是这么回事，前几天做梦，梦见自己买火车票的时候，让窗口给开张发票。</p>
<p>那几天我正在凑发票。</p>
<p>昨天做梦，梦见天晚了，必须飞回家。</p>
<p>飞回家的路上，我忽高忽低，左右躲闪，迎面飞来一头又一头的僵尸。。。</p>
<p><span id="more-2162"></span><br />
为了保护大家不受僵尸欺负，我跟我姐决定保护大家，用的策略是这样的：</p>
<p>僵尸害怕老鼠（我去这是谁说的？），房顶上有一只大老鼠，但地上有一只猫，可能会吃掉老鼠，我们必须除掉这只猫，于是，在猫身上放了一根爆竹，点着了，bang！！！！猫就灰飞烟灭了。。。。</p>
<p>白天想了想，原来是这个游戏：</p>
<p><img title="fei" src="../wp-content/uploads/2012/01/fei.png" alt="" width="501" height="375" /></p>
<p>以及，昨天看《钢的琴》里，在自行车后架上点爆竹的片段。</p>
<p>再有，带老胡转北大经过燕南园时看见的猫……</p>
<p>果然日有所思，夜有所梦。人类已经不能阻止我的想象力了。</p>
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		</item>
		<item>
		<title>咨询它是个什么玩意？</title>
		<link>http://datafanr.com/data/what-is-consulting.html</link>
		<comments>http://datafanr.com/data/what-is-consulting.html#comments</comments>
		<pubDate>Thu, 15 Dec 2011 12:42:15 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[咨询]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2147</guid>
		<description><![CDATA[（不是前言是闲言：多年没碰英语，手儿生了，找一篇短文练一练。） 咨询是什么呢？咨询是一种职业选择，它收费为个人或者企业提供专业建议的。作为一名咨询师，你可能是自由职业，虽然有些咨询师受雇于大公司。咨询师可能有一项或者多项专长。你可以选择咨询作为一项全职的事业，或者为了挣点外快而做个兼职。 咨询有哪些类型？ 咨询不一定特别要求技术，也不一定特别复杂，当然也不需要什么毕业证或者学位证。唯一需要的是你这个咨询师拥有专门的必要知识，能够讲给你的客户或者进行必要的服务。 比如，你可以提供个人咨询服务。个人咨询提供给个人一些专业化建议，比如聚会策划、生存教练、驯狗或者家居装修。 技术咨询师提供包括家庭安全、上网安全、网络以及社会化媒体等方面的建议。 专业咨询师通常会接受特定的训练，或在他们的领域接受专门的培训。作为一名专业的咨询师，你需要在更错综复杂的问题上提供建议，比如人力资源、财务税收、商业管理以及保险。 行政咨询有很多专业的层级。它在法律和医药等问题上提供建议。要想在这些领域做咨询，你必须受过高等教育，或者有丰富的经验。当然，不是所有的咨询都需要这么专业。 客户想要从咨询服务中得到什么？ 客户雇一个咨询师，不是为私就是为公。咨询师能帮客户的个人成长或者职业成长更加顺利，能够帮客户省钱，能够提高客户无论是私人生活还是生意上的效率。咨询师提供给客户他们不知道或者无法直接获得的信息。作为一名专业咨询师，你得让客户满意你的服务，让他们变得比以前更好。 咨询给你带来什么？ 如果你动力十足，喜欢与人协作，当然更喜欢独立工作，那么咨询这项事业对你来说是个牛逼闪闪的选择。你可以自由控制自己的节奏和时间。选择了咨询，你也获得了与客户沟通、与其他牛人合作的机会。 咨询行业未来前景如何？ 咨询行业前景一片光明。只要个人、专业人士或者公司想要提升自己，无论是生活上还是生意上，就会有对咨询服务的需求。能提供有用建议的咨询老手儿，会一直供不应求。 你有兴趣成为一名咨询师吗？ 译自Consultant Journal，原文链接What is Consulting？ 也许你还喜欢：游戏厅里的少年咨询师学校里不会教的8堂咨询课]]></description>
			<content:encoded><![CDATA[<p><span style="color: #808080;">（不是前言是闲言：多年没碰英语，手儿生了，找一篇短文练一练。）</span></p>
<p>咨询是什么呢？咨询是一种职业选择，它收费为个人或者企业提供专业建议的。作为一名咨询师，你可能是自由职业，虽然有些咨询师受雇于大公司。咨询师可能有一项或者多项专长。你可以选择咨询作为一项全职的事业，或者为了挣点外快而做个兼职。<br />
<span id="more-2147"></span></p>
<h3>咨询有哪些类型？</h3>
<p>咨询不一定特别要求技术，也不一定特别复杂，当然也不需要什么毕业证或者学位证。唯一需要的是你这个咨询师拥有专门的必要知识，能够讲给你的客户或者进行必要的服务。</p>
<p>比如，你可以提供个人咨询服务。个人咨询提供给个人一些专业化建议，比如聚会策划、生存教练、驯狗或者家居装修。</p>
<p>技术咨询师提供包括家庭安全、上网安全、网络以及社会化媒体等方面的建议。</p>
<p>专业咨询师通常会接受特定的训练，或在他们的领域接受专门的培训。作为一名专业的咨询师，你需要在更错综复杂的问题上提供建议，比如人力资源、财务税收、商业管理以及保险。</p>
<p>行政咨询有很多专业的层级。它在法律和医药等问题上提供建议。要想在这些领域做咨询，你必须受过高等教育，或者有丰富的经验。当然，不是所有的咨询都需要这么专业。</p>
<h3>客户想要从咨询服务中得到什么？</h3>
<p>客户雇一个咨询师，不是为私就是为公。咨询师能帮客户的个人成长或者职业成长更加顺利，能够帮客户省钱，能够提高客户无论是私人生活还是生意上的效率。咨询师提供给客户他们不知道或者无法直接获得的信息。作为一名专业咨询师，你得让客户满意你的服务，让他们变得比以前更好。</p>
<h3>咨询给你带来什么？</h3>
<p>如果你动力十足，喜欢与人协作，当然更喜欢独立工作，那么咨询这项事业对你来说是个牛逼闪闪的选择。你可以自由控制自己的节奏和时间。选择了咨询，你也获得了与客户沟通、与其他牛人合作的机会。</p>
<h3>咨询行业未来前景如何？</h3>
<p>咨询行业前景一片光明。只要个人、专业人士或者公司想要提升自己，无论是生活上还是生意上，就会有对咨询服务的需求。能提供有用建议的咨询老手儿，会一直供不应求。</p>
<p>你有兴趣成为一名咨询师吗？</p>
<blockquote><p>译自Consultant Journal，原文链接<a href="http://consultantjournal.com/blog/what-is-consulting" target="_blank">What is Consulting？</a></p></blockquote>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/diary/game-consultant-2.html" title="游戏厅里的少年咨询师">游戏厅里的少年咨询师</a></li><li><a href="http://datafanr.com/data/8-consulting-lessons-they-dont-teach-you-in-school.html" title="学校里不会教的8堂咨询课">学校里不会教的8堂咨询课</a></li></ul>]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>零点中国，壹点中国……</title>
		<link>http://datafanr.com/it/0diancn.html</link>
		<comments>http://datafanr.com/it/0diancn.html#comments</comments>
		<pubDate>Wed, 14 Dec 2011 10:50:30 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[1.科技]]></category>
		<category><![CDATA[域名]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2134</guid>
		<description><![CDATA[接着上一篇《最短.cn域名都被谁占了？ 》，我们来看看剩下几个最短的cn域名（1位）被谁占了？ 按着之前的逻辑，我们把域名比作如花似玉的姑娘，占有她们的是爷们儿。 零点中国 0.cn 她爷们儿的名字：晋宝山西特产 她爷们儿的职业：卖土特产的，文雅一点叫电商 她爷们儿的后台：淘宝 壹点中国 1.cn 她爷们儿的名字：中国-海峡项目成果交易网 她爷们儿的职业：貌似是搞科研的 她爷们儿的后台：国家！ 肆点中国 www.4.cn 她爷们儿的名字：金名网 她爷们儿的职业：卖米的，域名交易平台 伍点中国 5.cn 她爷们儿的名字：团购王（又是这货，记得吗，u.cn也是被丫包养的！） 她爷们儿的职业：团购的，估计是捣鼓米的 陆点中国 6.cn 她爷们儿的名字：六间房 她爷们儿的职业：看片儿的，据说有美女视频哦~ 柒点中国 www.7.cn 她爷们儿的名字：7天团购导航 她爷们儿的职业：搞团购的 玖点中国 www.9.cn 她爷们儿的名字：@9.cn免费邮箱 她爷们儿的职业：电子邮递员~ 她爷们儿的后台：微软 再小结一下，我们发现，团购王这个家伙很能抢域名，u.cn，5.cn，go.cn都是他的。 也许你还喜欢：最短.cn域名都被谁占了？只因为在人群之中你点了我一点]]></description>
			<content:encoded><![CDATA[<p>接着上一篇<a href="http://datafanr.com/it/who-use-shortest-cn-domain.html">《最短.cn域名都被谁占了？ 》</a>，我们来看看剩下几个最短的cn域名（1位）被谁占了？</p>
<p>按着之前的逻辑，我们把域名比作如花似玉的姑娘，占有她们的是爷们儿。</p>
<p><span id="more-2134"></span></p>
<h3>零点中国 0.cn</h3>
<p><a href="http://www.0.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/0.cn_.jpg"/></a></p>
<p>她爷们儿的名字：晋宝山西特产</p>
<p>她爷们儿的职业：卖土特产的，文雅一点叫电商</p>
<p>她爷们儿的后台：淘宝</p>
<h3>壹点中国 1.cn</h3>
<p><a href="http://www.1.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/1.cn_.jpg"/></a></p>
<p>她爷们儿的名字：中国-海峡项目成果交易网</p>
<p>她爷们儿的职业：貌似是搞科研的</p>
<p>她爷们儿的后台：国家！</p>
<h3>肆点中国 www.4.cn</h3>
<p><a href="http://www.4.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/4.cn_.jpg"/></a></p>
<p>她爷们儿的名字：金名网</p>
<p>她爷们儿的职业：卖米的，域名交易平台</p>
<h3>伍点中国 5.cn</h3>
<p><a href="http://www.5.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/5.cn_.jpg"/></a></p>
<p>她爷们儿的名字：团购王（又是这货，记得吗，u.cn也是被丫包养的！）</p>
<p>她爷们儿的职业：团购的，估计是捣鼓米的</p>
<h3>陆点中国 6.cn</h3>
<p><a href="http://www.6.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/6.cn_.jpg"/></a></p>
<p>她爷们儿的名字：六间房</p>
<p>她爷们儿的职业：看片儿的，据说有美女视频哦~</p>
<h3>柒点中国 www.7.cn</h3>
<p><a href="http://www.7.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/7.cn_.jpg"/></a></p>
<p>她爷们儿的名字：7天团购导航</p>
<p>她爷们儿的职业：搞团购的</p>
<h3>玖点中国 www.9.cn</h3>
<p><a href="http://www.9.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/9.cn_.jpg"/></a></p>
<p>她爷们儿的名字：@9.cn免费邮箱</p>
<p>她爷们儿的职业：电子邮递员~</p>
<p>她爷们儿的后台：微软</p>
<p>再小结一下，我们发现，团购王这个家伙很能抢域名，u.cn，5.cn，go.cn都是他的。</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/it/who-use-shortest-cn-domain.html" title="最短.cn域名都被谁占了？">最短.cn域名都被谁占了？</a></li><li><a href="http://datafanr.com/diary/dianming.html" title="只因为在人群之中你点了我一点">只因为在人群之中你点了我一点</a></li></ul>]]></content:encoded>
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		<title>最短.cn域名都被谁占了？</title>
		<link>http://datafanr.com/it/who-use-shortest-cn-domain.html</link>
		<comments>http://datafanr.com/it/who-use-shortest-cn-domain.html#comments</comments>
		<pubDate>Mon, 12 Dec 2011 11:19:23 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[1.科技]]></category>
		<category><![CDATA[域名]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2098</guid>
		<description><![CDATA[CN域名是一朵奇葩，奇葩中自有强中手。 牛逼的域名都有点短，牛逼的CN域名也不例外，在众多牛逼的CN域名里，我们关注那些最短的，比如t.cn，只有一个字母。 这些域名被谁上过我们不管，今天，只关心他们谁被一个固定的爷们儿占有了，被哪个爷们儿占有（买了没建站的不算，建了站出了故障的不算，这里只收录那些正常运行的网站）。 d.cn 她爷们儿的名字：当乐网 她爷们儿的职业：给人下载手机游戏的个体商贩 f.cn 她爷们儿的名字：万能输入法 她爷们儿的职业：办公室打字员，当年靠万能五笔一手绝活儿一战成名 g.cn 她爷们儿的名字：Google中国 她爷们儿的职业：情报工作者，一个放荡不羁的信息高手，后被驱逐出境 h.cn 她爷们儿的名字：黄页大全 她爷们儿的职业：卖黄页本儿的（当然了，如果改行写H文儿也挺有前途） j.cn 她爷们儿的名字：简单网 她爷们儿的职业：网络导购 k.cn 她爷们儿的名字：伟库网 她爷们儿的职业：旗下企业云服务平台 她爷们儿的后台：用友 www.l.cn 她爷们儿的名字：百分信息 她爷们儿的职业：会员营销服务 m.cn 她爷们儿的名字：手机中文上网导航 她爷们儿的职业：同她爷们儿的名字 o.cn 她爷们儿的名字：都市圈 她爷们儿的职业：拿着地图免费之路 p.cn 她爷们儿的名字：云计算门户 她爷们儿的职业：同她爷们儿的名字 q.cn 她爷们儿的名字：圈网 她爷们儿的职业：互联网媒体聚合 r.cn 她爷们儿的名字：人才库 她爷们儿的职业：HR，招人的，也是面试的 s.cn 她爷们儿的名字：名鞋库 她爷们儿的职业：一卖鞋的，也叫电子商务 t.cn 她爷们儿的名字：新浪微博 她爷们儿的职业：该微博已被删除 u.cn 她爷们儿的名字：团购王 她爷们儿的职业：组团买东西 w.cn 她爷们儿的名字：@w.cn免费邮箱 她爷们儿的职业：邮递员 她爷们儿的后台：微软 她爷们儿的另一个名字：拼音，你懂的 x.cn [...]]]></description>
			<content:encoded><![CDATA[<p>CN域名是一朵奇葩，奇葩中自有强中手。</p>
<p>牛逼的域名都有点短，牛逼的CN域名也不例外，在众多牛逼的CN域名里，我们关注那些最短的，比如t.cn，只有一个字母。</p>
<p>这些域名被谁上过我们不管，今天，只关心他们谁被一个固定的爷们儿占有了，被哪个爷们儿占有（买了没建站的不算，建了站出了故障的不算，这里只收录那些正常运行的网站）。<br />
<span id="more-2098"></span></p>
<h3>d.cn</h3>
<p><a href="http://d.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/d.cn_.jpg"/></a></p>
<p>她爷们儿的名字：当乐网</p>
<p>她爷们儿的职业：给人下载手机游戏的个体商贩</p>
<h3>f.cn</h3>
<p><a href="http://f.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/f.cn_.jpg"/></a></p>
<p>她爷们儿的名字：万能输入法</p>
<p>她爷们儿的职业：办公室打字员，当年靠万能五笔一手绝活儿一战成名</p>
<h3>g.cn</h3>
<p><a href="http://g.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/g.cn_.jpg"/></a></p>
<p>她爷们儿的名字：Google中国</p>
<p>她爷们儿的职业：情报工作者，一个放荡不羁的信息高手，后被驱逐出境</p>
<h3>h.cn</h3>
<p><a href="http://h.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/h.cn_.jpg"/></a></p>
<p>她爷们儿的名字：黄页大全</p>
<p>她爷们儿的职业：卖黄页本儿的（当然了，如果改行写H文儿也挺有前途）</p>
<h3>j.cn</h3>
<p><a href="http://j.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/j.cn_.jpg"/></a></p>
<p>她爷们儿的名字：简单网</p>
<p>她爷们儿的职业：网络导购</p>
<h3>k.cn</h3>
<p><a href="http://k.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/k.cn_.jpg"/></a></p>
<p>她爷们儿的名字：伟库网</p>
<p>她爷们儿的职业：旗下企业云服务平台</p>
<p>她爷们儿的后台：用友</p>
<h3>www.l.cn</h3>
<p><a href="http://www.l.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/l.cn_.jpg"/></a></p>
<p>她爷们儿的名字：百分信息</p>
<p>她爷们儿的职业：会员营销服务</p>
<h3>m.cn</h3>
<p><a href="http://m.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/m.cn_.jpg"/></a></p>
<p>她爷们儿的名字：手机中文上网导航</p>
<p>她爷们儿的职业：同她爷们儿的名字</p>
<h3>o.cn</h3>
<p><a href="http://o.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/o.cn_.jpg"/></a></p>
<p>她爷们儿的名字：都市圈</p>
<p>她爷们儿的职业：拿着地图免费之路</p>
<h3>p.cn</h3>
<p><a href="http://p.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/p.cn_.jpg"/></a></p>
<p>她爷们儿的名字：云计算门户</p>
<p>她爷们儿的职业：同她爷们儿的名字</p>
<h3>q.cn</h3>
<p><a href="http://q.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/q.cn_.jpg"/></a></p>
<p>她爷们儿的名字：圈网</p>
<p>她爷们儿的职业：互联网媒体聚合</p>
<h3>r.cn</h3>
<p><a href="http://r.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/r.cn_.jpg"/></a></p>
<p>她爷们儿的名字：人才库</p>
<p>她爷们儿的职业：HR，招人的，也是面试的</p>
<h3>s.cn</h3>
<p><a href="http://s.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/s.cn_.jpg"/></a></p>
<p>她爷们儿的名字：名鞋库</p>
<p>她爷们儿的职业：一卖鞋的，也叫电子商务</p>
<h3>t.cn</h3>
<p><a href="http://t.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/t.cn_.jpg"/></a></p>
<p>她爷们儿的名字：新浪微博</p>
<p>她爷们儿的职业：该微博已被删除</p>
<h3>u.cn</h3>
<p><a href="http://u.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/u.cn_.jpg"/></a></p>
<p>她爷们儿的名字：团购王</p>
<p>她爷们儿的职业：组团买东西</p>
<h3>w.cn</h3>
<p><a href="http://w.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/w.cn_.jpg"/></a></p>
<p>她爷们儿的名字：@w.cn免费邮箱</p>
<p>她爷们儿的职业：邮递员</p>
<p>她爷们儿的后台：微软</p>
<p>她爷们儿的另一个名字：拼音，你懂的</p>
<h3>x.cn</h3>
<p><a href="http://x.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/x.cn_.jpg"/></a></p>
<p>她爷们儿的名字：中国联通陕西分公司</p>
<p>她爷们儿的职业：收电话费的</p>
<h3>z.cn</h3>
<p><a href="http://z.cn"><img src="http://datafanr.com/wp-content/uploads/2011/12/z.cn_.jpg"/></a></p>
<p>她爷们儿的名字：亚马逊中国</p>
<p>她爷们儿的职业：卖书的，后来卖百货了</p>
<p>小结一句，从a到z的26个cn域名里，有17个在正常使用，有一个u.cn被一个搞域名的家伙（同时也在弄团购王这么个网站）占着，跳转到了团购王，剩下8个当中，1个服务器故障，另7个则处于闲置状态。换句话说，他们被太监包养了。</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/it/0diancn.html" title="零点中国，壹点中国……">零点中国，壹点中国……</a></li><li><a href="http://datafanr.com/diary/dianming.html" title="只因为在人群之中你点了我一点">只因为在人群之中你点了我一点</a></li></ul>]]></content:encoded>
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		<item>
		<title>理想中的手机地图</title>
		<link>http://datafanr.com/data/ideal-cellphone-map.html</link>
		<comments>http://datafanr.com/data/ideal-cellphone-map.html#comments</comments>
		<pubDate>Wed, 07 Dec 2011 02:30:18 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[Google]]></category>
		<category><![CDATA[Google地图]]></category>
		<category><![CDATA[手机地图]]></category>
		<category><![CDATA[电子地图]]></category>
		<category><![CDATA[百度地图]]></category>

		<guid isPermaLink="false">http://datafanr.com/data/%e7%90%86%e6%83%b3%e4%b8%ad%e7%9a%84%e6%89%8b%e6%9c%ba%e5%9c%b0%e5%9b%be.html</guid>
		<description><![CDATA[不说科幻的，但就目前技术已经可以实现的部分，谈谈我理想中的手机地图是个什么样子。 流量小、速度快、地点全、信息丰富，这些是基础要求，约束条件下，市场上每个手机地图产品都声称自己有这些特点中的一个或多个，自己是最好的手机地图。 还有什么可以期待的呢？产品可以加进去，又不用花很多钱。RD部门不必加班，服务部门多找点人去人肉一下，或许应该是可以做到的。 1.地图指南针 经常遇到这样的情况：从地铁里出来，分不清东西南北。怎么办，手机上有地图，能定位，聪明的娃儿肯定有办法。首先定位一下，然后朝某个方向走两步，再比较一下之前的位置，看看自己朝哪边走了。然后对比地图基本能分出个东西南北。当然这是个傻办法，手机地图定位本来就不够准，误差可能有几百米，这就意味着，你必须走出去几百米才能确定东西南北，如此劳民伤财，实不值得。 既然有些手机已经有了支持指南针功能的硬件（iPhone磁力计），那何不把指南针功能整合到地图里？这样，出了地跌，一拿手机，嗯，这是南，我要往东边去，很方便。省了徒步百米找寻方向的过程。 2.地点搜索结果分类分层 朋友跟我说，地图的搜索结果很乱。手机屏小，操作又不方便，在一大堆结果中找到自己真正想要的，确实是大海捞针。 比如我在百度地图（web地图）上搜索香山，得到了806个结果： 这些结果里有公路、有医院、有酒店、有学校、有公寓，有各种广告性质的结果，可我只想知道，怎么上香山。你给我的这些丰富的结果，都是干扰。 如果能对结果进行分类，感觉会大不一样。比如，告诉我，找到1个地点，是哪里；2个公交车站，是哪里；一个别墅，是哪里……百度素以分类精确著称，这里却做得不好。不知道是疏忽了，还是必须卖广告所以混在一起。 地点搜索结果还需要分级分类：第一级是这个地点，你给我标出来，哪里是香山，不要标一个点，而是一个圈，要把香山的范围画出来；第二级，是这里的公共设施，比如公交站、地铁站、学校、医院、邮局等；第三级，是这里的商家，比如酒店、KTV、餐馆等。不同级之间用图层来区分，用户可以选择自己看哪个层，隐藏哪个层。直白一点说，用户可以选择看不看广告。 这一点，其实Google地图已经做得相当不错： 图层有多好，估计百度也知道，但如果这么做了，势必侵害广告商的利益，而百度作为一个卖广告的公司，要不要顾及用户的利益，确实会是个艰难的决定。 3.公平收录 一个路口有A和B两家超市，地图上有A而没有B。 这显然不公平。不公平可能会有原因，比如测绘时疏忽、比如B超市开业较晚、又比如A超市给了钱。 如何消除不公平？给用户一个添加地点的机会，开放一个接口，让每家小企业都可以通过地图宣传自己。 也许你会担心，所有小企业都在地图上占个山头，那地图会不会很乱？ 解决方法也很简单，开放接口，让每个人都可以创建和发布自己的地图（就像Google地图一样，看看这个NGO地图），每个地图都是独立的，互不影响。如果官方觉得某个地图质量很高，那可以把部分地点加进官方地图里。 在这方面，Google做了很多尝试，比如Google地方信息。 4.室内地图 写字楼和商场里找地方都是麻烦事。一个写字楼里面可能几十上百家小公司，每层的结构不一样，万一坐错电梯或走错方向都可能耽误很长时间，如果手机地图能够把写字楼的每一层做个平面图&#8230;.Sounds good。 没错，这个东西又是Google先做的： 当然，有人会觉得，逛商场的意义在于漫无目的地“逛”，有了地图反而体验下降了，况且每个商场里都有平面图或者电子导航板，手机地图来做商场导航有些多此一举。不过，对于我们这种买东西直奔主题的老爷们儿来说，这个功能还真省时间。 可惜的是，这货还不支持中国地区。 以上提出的四点当中，有三点是Google做的，Google确实是一家创新的伟大的公司。可惜的是，由于众所周知的不可抗拒原因，中国人，没有福分也没有资格享受Google的优质服务。有人说Google地图乱，中英混杂、地点漂移、信息不准……请相信，这不是Google的意思。 也许你还喜欢：电子地图产品小全我们都做过的首字母填空百度不做第一个吃螃蟹的小白鼠谷歌的遗书我享受的Google免费午餐Google Form笔记（3）：新增页面跳转功能Google Form笔记（2）：自定义CSS样式Google Form笔记（1）:基本操作Last Of May]]></description>
			<content:encoded><![CDATA[<p>不说科幻的，但就目前技术已经可以实现的部分，谈谈我理想中的手机地图是个什么样子。</p>
<p>流量小、速度快、地点全、信息丰富，这些是基础要求，约束条件下，市场上每个手机地图产品都声称自己有这些特点中的一个或多个，自己是最好的手机地图。</p>
<p>还有什么可以期待的呢？产品可以加进去，又不用花很多钱。RD部门不必加班，服务部门多找点人去人肉一下，或许应该是可以做到的。</p>
<p><span id="more-2086"></span></p>
<h3>1.地图指南针</h3>
<p>经常遇到这样的情况：从地铁里出来，分不清东西南北。怎么办，手机上有地图，能定位，聪明的娃儿肯定有办法。首先定位一下，然后朝某个方向走两步，再比较一下之前的位置，看看自己朝哪边走了。然后对比地图基本能分出个东西南北。当然这是个傻办法，手机地图定位本来就不够准，误差可能有几百米，这就意味着，你必须走出去几百米才能确定东西南北，如此劳民伤财，实不值得。</p>
<p>既然有些手机已经有了支持指南针功能的硬件（iPhone磁力计），那何不把指南针功能整合到地图里？这样，出了地跌，一拿手机，嗯，这是南，我要往东边去，很方便。省了徒步百米找寻方向的过程。</p>
<p><a href="http://datafanr.com/wp-content/uploads/2011/12/wpid-cbad8af379c24c95491316ef1421b0db_850218.jpg" target="_blank"><img src="http://datafanr.com/wp-content/uploads/2011/12/wpid-cbad8af379c24c95491316ef1421b0db_850218.jpg" alt="" width="500" height="138" /></a></p>
<h3>2.地点搜索结果分类分层</h3>
<p>朋友跟我说，地图的搜索结果很乱。手机屏小，操作又不方便，在一大堆结果中找到自己真正想要的，确实是大海捞针。</p>
<p>比如我在百度地图（web地图）上搜索香山，得到了806个结果：</p>
<p><img src="http://datafanr.com/wp-content/uploads/2011/12/wpid-cbad8af379c24c95491316ef1421b0db_1700890.png" alt="" /></p>
<p>这些结果里有公路、有医院、有酒店、有学校、有公寓，有各种广告性质的结果，可我只想知道，怎么上香山。你给我的这些丰富的结果，都是干扰。</p>
<p>如果能对结果进行分类，感觉会大不一样。比如，告诉我，找到1个地点，是哪里；2个公交车站，是哪里；一个别墅，是哪里……百度素以分类精确著称，这里却做得不好。不知道是疏忽了，还是必须卖广告所以混在一起。</p>
<p>地点搜索结果还需要分级分类：第一级是这个地点，你给我标出来，哪里是香山，不要标一个点，而是一个圈，要把香山的范围画出来；第二级，是这里的公共设施，比如公交站、地铁站、学校、医院、邮局等；第三级，是这里的商家，比如酒店、KTV、餐馆等。不同级之间用图层来区分，用户可以选择自己看哪个层，隐藏哪个层。直白一点说，用户可以选择看不看广告。</p>
<p>这一点，其实Google地图已经做得相当不错：</p>
<p><img src="http://datafanr.com/wp-content/uploads/2011/12/tuceng.png" alt="" /></p>
<p>图层有多好，估计百度也知道，但如果这么做了，势必侵害广告商的利益，而百度作为一个卖广告的公司，要不要顾及用户的利益，确实会是个艰难的决定。</p>
<h3>3.公平收录</h3>
<p>一个路口有A和B两家超市，地图上有A而没有B。</p>
<p>这显然不公平。不公平可能会有原因，比如测绘时疏忽、比如B超市开业较晚、又比如A超市给了钱。</p>
<p>如何消除不公平？给用户一个添加地点的机会，开放一个接口，让每家小企业都可以通过地图宣传自己。</p>
<p>也许你会担心，所有小企业都在地图上占个山头，那地图会不会很乱？</p>
<p>解决方法也很简单，开放接口，让每个人都可以创建和发布自己的地图（<a href="http://www.ngo20map.com/">就像Google地图一样，看看这个NGO地图</a>），每个地图都是独立的，互不影响。如果官方觉得某个地图质量很高，那可以把部分地点加进官方地图里。</p>
<p>在这方面，Google做了很多尝试，比如<a href="http://www.google.com/local/add/businessCenter?hl=zh-cn&amp;gl=us">Google地方信息</a>。</p>
<p><a href="http://datafanr.com/wp-content/uploads/2011/12/wpid-cbad8af379c24c95491316ef1421b0db_3455359.jpg" target="_blank"><img src="http://datafanr.com/wp-content/uploads/2011/12/wpid-cbad8af379c24c95491316ef1421b0db_3455359.jpg" alt="" width="500" height="188" /></a></p>
<h3>4.室内地图</h3>
<p>写字楼和商场里找地方都是麻烦事。一个写字楼里面可能几十上百家小公司，每层的结构不一样，万一坐错电梯或走错方向都可能耽误很长时间，如果手机地图能够把写字楼的每一层做个平面图&#8230;.Sounds good。</p>
<p>没错，这个东西又是Google先做的：</p>
<p><a href="http://datafanr.com/wp-content/uploads/2011/12/wpid-cbad8af379c24c95491316ef1421b0db_3832000.jpg" target="_blank"><img src="http://datafanr.com/wp-content/uploads/2011/12/wpid-cbad8af379c24c95491316ef1421b0db_3832000.jpg" alt="" width="500" height="438" /></a></p>
<p>当然，有人会觉得，逛商场的意义在于漫无目的地“逛”，有了地图反而体验下降了，况且每个商场里都有平面图或者电子导航板，手机地图来做商场导航有些多此一举。不过，对于我们这种买东西直奔主题的老爷们儿来说，这个功能还真省时间。</p>
<p>可惜的是，这货还不支持中国地区。</p>
<p>以上提出的四点当中，有三点是Google做的，Google确实是一家创新的伟大的公司。可惜的是，由于众所周知的不可抗拒原因，中国人，没有福分也没有资格享受Google的优质服务。有人说Google地图乱，中英混杂、地点漂移、信息不准……请相信，这不是Google的意思。</p>
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		<title>电子地图产品小全</title>
		<link>http://datafanr.com/data/ditu.html</link>
		<comments>http://datafanr.com/data/ditu.html#comments</comments>
		<pubDate>Mon, 05 Dec 2011 15:04:58 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[品牌]]></category>
		<category><![CDATA[手机地图]]></category>
		<category><![CDATA[电子地图]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2062</guid>
		<description><![CDATA[电子地图，已经不仅仅是纸质地图的网络版，它免费、更新快、信息丰富，如今与LBS相结合，正一步一步走近我们的生活。走在大街上，你要是没用过电子地图，你都不好意思跟人打招呼。坐地铁里头拿起手机，里头要是没有个手机地图，你真得去卖肾了。 刚刚接触电子地图的时候，心想着再他妈不买五块钱一张的盗版地图了。也是从那时起，办公室甚至家家户户的墙上，也都不再挂一副中国地图，一副世界地图。后来出了Google Earth，兴奋地把七大姑八大姨拉过来，点开Google Earth点啊点，鼠标滚轮滚啊滚，说，看，看，这是我们家房顶，门口那条大河，滚滚东流…… 如果不算GPS的话，电子地图也可以称作网络地图；手机连网或者装客户端的话，还有手机地图；如果拿起你的pad，什么iPad，乐pad的，包括其他诸如大号mp5之类的移动终端，还可以叫做无线地图，无线地图与Web地图（台式或笔记本电脑连接的网上地图）的最大区别是，无线地图能够定位，刚开地图网页先弹出一小框问你，“大爷，允许奴家记录你的位置吗？”，我当然点，嗯，允许。于是，举着pad，就知道我在哪里。拍张照片，它还记下来这是哪里。于是感慨，电子地图，比58同城还要神奇。 进入市场调查行业，便养成了列表的坏习惯，不仅要列表，还要追根溯源，缕清你的八辈祖宗。 再于是，就有了下边这张图： 如果按照产品起源（也就是上文中提到的“八辈祖宗”）和专注领域来分，目前中国市场上的电子地图产品可以分为这么几类： 1.搜索引擎的地图 以Google地图、百度地图为代表，是搜索引擎的地图服务，当然是以搜索为核心。 2.门户搜索引擎的地图 中国的门户网站对于跟风总是有吃屎般的热情，也要开发一个搜索引擎，也要出搜索引擎该有的产品，四大门户都不甘示弱，于是有了搜狗地图、搜搜地图、有道地图，还有弱弱的新浪爱问地图。 3.专业地图 这类公司基本只做地图，比如51地图、图吧、MapABC、E都市、365地图，当然也少不了全能的国家队——天地图。灵图是目前见过的产品线最长的地图产品——Web地图（51地图）、电脑桌面客户端（灵图UU）、手机地图、GPS（灵图天行者）等等，还提供地图测绘服务、企业定制服务，美中不足是，产品线太长，很难把所有产品都做精。 4.专注手机的地图 比如导航犬、老虎地图，几乎各种手机型号都会有对应的版本，当然也有一些手机厂商的地图，比如诺基亚Ovi、阿里云地图。 5.GPS厂商的移动地图 这类公司做GPS起家，后来发现网络地图有市场，于是出了手机客户端，比如凯立德、高德地图。 6.生活服务类地图 地图的LBS属性用在生活搜索服务上，真是再合适不过了，代表有爱帮地图、拉手地图、城市吧街景地图。 &#160; 上边的分类主观性太强，难免有误差，附上一张表以供参考，在这里，可以清楚的看到各个地图产品有哪些对应的地图形式。 电子地图产品 Web地图 电脑 客户端 手机 客户端 GPS Wap地图 无线在线 Google地图 √ √ √ 百度地图 √ √ bing地图 √ √ √ 搜狗地图 √ √ √ √ 吾得地图 √ 凯立德 √ √ 我要地图（51地图） √ √ [...]]]></description>
			<content:encoded><![CDATA[<p>电子地图，已经不仅仅是纸质地图的网络版，它免费、更新快、信息丰富，如今与LBS相结合，正一步一步走近我们的生活。走在大街上，你要是没用过电子地图，你都不好意思跟人打招呼。坐地铁里头拿起手机，里头要是没有个手机地图，你真得去卖肾了。</p>
<p>刚刚接触电子地图的时候，心想着再他妈不买五块钱一张的盗版地图了。也是从那时起，办公室甚至家家户户的墙上，也都不再挂一副中国地图，一副世界地图。后来出了Google Earth，兴奋地把七大姑八大姨拉过来，点开Google Earth点啊点，鼠标滚轮滚啊滚，说，看，看，这是我们家房顶，门口那条大河，滚滚东流……</p>
<p>如果不算GPS的话，电子地图也可以称作网络地图；手机连网或者装客户端的话，还有手机地图；如果拿起你的pad，什么iPad，乐pad的，包括其他诸如大号mp5之类的移动终端，还可以叫做无线地图，无线地图与Web地图（台式或笔记本电脑连接的网上地图）的最大区别是，无线地图能够定位，刚开地图网页先弹出一小框问你，“大爷，允许奴家记录你的位置吗？”，我当然点，嗯，允许。于是，举着pad，就知道我在哪里。拍张照片，它还记下来这是哪里。于是感慨，电子地图，比58同城还要神奇。</p>
<p><span id="more-2062"></span>进入市场调查行业，便养成了列表的坏习惯，不仅要列表，还要追根溯源，缕清你的八辈祖宗。</p>
<p>再于是，就有了下边这张图：</p>
<p><a><img class="alignnone size-full wp-image-2065" title="map-brands-in-china" src="http://datafanr.com/wp-content/uploads/2011/12/map-brands-in-china.jpg" alt="" width="530" height="478" /></a></p>
<p>如果按照产品起源（也就是上文中提到的“八辈祖宗”）和专注领域来分，目前中国市场上的电子地图产品可以分为这么几类：</p>
<h3>1.搜索引擎的地图</h3>
<p>以Google地图、百度地图为代表，是搜索引擎的地图服务，当然是以搜索为核心。</p>
<h3>2.门户搜索引擎的地图</h3>
<p>中国的门户网站对于跟风总是有吃屎般的热情，也要开发一个搜索引擎，也要出搜索引擎该有的产品，四大门户都不甘示弱，于是有了搜狗地图、搜搜地图、有道地图，还有弱弱的新浪爱问地图。</p>
<h3>3.专业地图</h3>
<p>这类公司基本只做地图，比如51地图、图吧、MapABC、E都市、365地图，当然也少不了全能的国家队——天地图。灵图是目前见过的产品线最长的地图产品——Web地图（51地图）、电脑桌面客户端（灵图UU）、手机地图、GPS（灵图天行者）等等，还提供地图测绘服务、企业定制服务，美中不足是，产品线太长，很难把所有产品都做精。</p>
<h3>4.专注手机的地图</h3>
<p>比如导航犬、老虎地图，几乎各种手机型号都会有对应的版本，当然也有一些手机厂商的地图，比如诺基亚Ovi、阿里云地图。</p>
<h3>5.GPS厂商的移动地图</h3>
<p>这类公司做GPS起家，后来发现网络地图有市场，于是出了手机客户端，比如凯立德、高德地图。</p>
<h3>6.生活服务类地图</h3>
<p>地图的LBS属性用在生活搜索服务上，真是再合适不过了，代表有爱帮地图、拉手地图、城市吧街景地图。</p>
<p>&nbsp;</p>
<p>上边的分类主观性太强，难免有误差，附上一张表以供参考，在这里，可以清楚的看到各个地图产品有哪些对应的地图形式。</p>
<table width="532" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td>电子地图产品</td>
<td>Web地图</td>
<td>电脑<br />
客户端</td>
<td>手机<br />
客户端</td>
<td>GPS</td>
<td>Wap地图</td>
<td>无线在线</td>
</tr>
<tr>
<td><a href="http://maps.google.com/">Google地图</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td>√</td>
</tr>
<tr>
<td><a href="http://ditu.baidu.com/">百度地图</a></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
</tr>
<tr>
<td><a href="http://www.bing.com/maps/">bing地图</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
</tr>
<tr>
<td><a href="http://map.sogou.com/">搜狗地图</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td>√</td>
<td>√</td>
</tr>
<tr>
<td><a href="http://www.windowsphone.com/cs-CZ/apps/b672fe39-16be-402f-888e-8614134623a9?wa=wsignin1.0">吾得地图</a></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.careland.com.cn/">凯立德</a></td>
<td></td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.51ditu.com/">我要地图（51地图）</a></td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
</tr>
<tr>
<td><a href="http://uu.51ditu.com/">灵图UU</a></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.mapintime.com/">灵图天行者</a></td>
<td></td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.66.com/route66/">R66（Route66）</a></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.garmin.com.cn/">佳明（Garmin，也译作高明）</a></td>
<td></td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.amap.com/">高德</a></td>
<td></td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.nokia.com.cn/apps-maps-and-more/ovi-maps">诺基亚Ovi地图</a></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.emapgo.com.cn/">易图（有E图网、易图通）</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.ritu.cn/">道道通</a></td>
<td></td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.coolpadtone.com/">酷派通</a></td>
<td></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.mapabc.com/">Mapabc</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.mapbar.com/">图吧（Mapbar）</a></td>
<td>√</td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://tianditu.cn/">天地图</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://map.aibang.com/">爱帮地图（采用mapabc）</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://map.sina.com.cn/">新浪爱问地图（采用mapabc）</a></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://map.youdao.com/">有道地图（采用51地图）</a></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://map.soso.com/">soso地图（采用mapabc）</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.edushi.com/">E都市</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.tigerknows.com/">老虎地图</a></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://ditu.yahoo.cn/">雅虎地图</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://ditu.aliyun.com/">阿里云地图</a></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.uumap.com/">图龙</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.gpslook.net/">乐图</a></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.365ditu.com/">365地图</a></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
<td>√</td>
<td></td>
</tr>
<tr>
<td><a href="http://www.navidog.cn/">导航犬</a></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td colspan="3"><a href="http://cmcc.mapabc.com/">中国移动手机导航（采用Mapabc）</a></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.telenav.cn/">泰为（TeleNav）</a></td>
<td></td>
<td></td>
<td>√</td>
<td>√</td>
<td></td>
<td></td>
</tr>
<tr>
<td><a href="http://www.tiantianxing.cn/">天天行</a></td>
<td></td>
<td></td>
<td>√</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
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		<title>焦点小组的屋子长啥样?</title>
		<link>http://datafanr.com/data/focus-group.html</link>
		<comments>http://datafanr.com/data/focus-group.html#comments</comments>
		<pubDate>Sun, 04 Dec 2011 12:49:13 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[单面镜]]></category>
		<category><![CDATA[定性研究]]></category>
		<category><![CDATA[焦点小组]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2048</guid>
		<description><![CDATA[很早就在书本上知道定性研究里的焦点小组座谈，对里面的单面镜很是好奇，最近有机会看了一眼焦点小组座谈会的庐山真面目。 ❶ ： 传说中的单面镜，单面镜以上，是座谈室（自己起的名字，不知道准确的说法是啥），主持人和被访者在里面；单面镜以下是观察室，研究者或者客户坐这边。 ❷： 摄像头，在天花板上与两面墙交汇的角上，记录整个过程，还会记录下每个人说话时的神态表情。 ❸： 玻璃黑板 ❹： 圆桌，并不是课本上说的严格意义上的圆桌，圆桌一定要圆，才能保证每个人的地位都是公平的。 ❺： 速记 ❻： 录音录像的电脑设备 ❼： 打印机等办公设备 M： 主持人 ①-⑧：被访者 座谈会进行过程中，座谈室开灯，而观察室不开灯，在光线不足的情况下，座谈室里看不到玻璃的另一边，而观察室能清楚地透过单面镜观察到座谈室里所有人的一举一动（不包括主持人的表情）。但如果观察室里打开灯，或者开了门进入光线，这个时候，单面镜将不再“单面”（至少我看到的是这样的）。 图中虚线以上是阳台，窗帘是拉下的，观察室里的窗帘也不开，要保证没有光线。 坐在观察室里，有一种人在名我在暗俯瞰芸芸众生的感觉。当然，一举一动也要小心翼翼，千万不能被发现。 也许你还喜欢：毛球球搬家到yo2啦我发现校内网一个秘密我们那里有民主吗？[贰]点13：你是装13，还是真13寄给他一份产品，而不是一张广告翻越教育网之墙：Veno试用小记[转]静海旧话完败以大娶小非君子——为了民族的利益]]></description>
			<content:encoded><![CDATA[<p>很早就在书本上知道定性研究里的焦点小组座谈，对里面的单面镜很是好奇，最近有机会看了一眼焦点小组座谈会的庐山真面目。<br />
<span id="more-2048"></span><br />
<img title="focus-group" src="http://datafanr.com/wp-content/uploads/2011/12/focus-group.jpg" alt="" width="500" height="665" /></p>
<p>❶ ： 传说中的单面镜，单面镜以上，是座谈室（自己起的名字，不知道准确的说法是啥），主持人和被访者在里面；单面镜以下是观察室，研究者或者客户坐这边。</p>
<p>❷： 摄像头，在天花板上与两面墙交汇的角上，记录整个过程，还会记录下每个人说话时的神态表情。</p>
<p>❸： 玻璃黑板</p>
<p>❹： 圆桌，并不是课本上说的严格意义上的圆桌，圆桌一定要圆，才能保证每个人的地位都是公平的。</p>
<p>❺： 速记</p>
<p>❻： 录音录像的电脑设备</p>
<p>❼： 打印机等办公设备</p>
<p>M： 主持人</p>
<p>①-⑧：被访者</p>
<p>座谈会进行过程中，座谈室开灯，而观察室不开灯，在光线不足的情况下，座谈室里看不到玻璃的另一边，而观察室能清楚地透过单面镜观察到座谈室里所有人的一举一动（不包括主持人的表情）。但如果观察室里打开灯，或者开了门进入光线，这个时候，单面镜将不再“单面”（至少我看到的是这样的）。</p>
<p>图中虚线以上是阳台，窗帘是拉下的，观察室里的窗帘也不开，要保证没有光线。</p>
<p>坐在观察室里，有一种人在名我在暗俯瞰芸芸众生的感觉。当然，一举一动也要小心翼翼，千万不能被发现。</p>
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		<title>转：熟女经济和半熟社会——手机人@2011</title>
		<link>http://datafanr.com/data/shu.html</link>
		<comments>http://datafanr.com/data/shu.html#comments</comments>
		<pubDate>Tue, 22 Nov 2011 15:45:27 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[半数社会]]></category>
		<category><![CDATA[手机]]></category>
		<category><![CDATA[熟女]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2037</guid>
		<description><![CDATA[周末呆在家里，做一个文章专题，分享给大家！ 原文链接http://www.upperplus.cn/up-special/shu 熟女经济和半熟社会——手机人@2011 文/刘向清 电力的兴起，让更多的城市与乡村居住者们，轻按开关便可以驱赶黑夜，“电”，点亮的是家庭、城市、街道，日出而作、日落而息的大自然规律嘎然而止，生活从此有了崭新的面貌，就是“卖单儿”（东北话：看风景）也是万家灯火，街灯璀璨。 科技的纯粹与简单，让人类为此目眩神迷，它能改善生活并由此变得一切皆有可能，一切理所当然：“一个人、一台电脑可以成就一份全球的事业”。 移动互联网与电力的普及运用一样深刻地改变着人的生活。C语言之父丹尼斯•里奇创造的UNIX操作系统、史蒂夫·乔布斯缔造的苹果帝国也莫不如此。科技用 最简单的理念打造了人类更纯粹的需求，颠覆并创建了具有划时代意义的生活方式，造就出手机人。 手机不仅一个物件，不仅是一个通讯工具，不仅是一个与人完全分离的数字产品，而是人身体的一部分，像肢体、像感官、像器官，于是人与手机的关系就特殊起来，离不开，剪不断，带体温，类似于人种的进化——人与机器的融合体——手机人。这是移动互联网的产物，是原来意念遐想中的机器人的新的体现方式，是时代的象征。 如果说2009年是移动互联网元年的话[注释1]，2011年则是手机深入人们生活、关系日益密切与成熟的一年，手机人成为了生活的＂常态人＂，90.2%的人“认为手机跟钥匙一样，是一定要随身带的”。 2011年，手机人崭露的特点用一个简单的字可以概括：熟。苹果“熟透”了；“熟”女可爱疯（iphone）[注释3]；新生活方式日趋“成熟”；“半熟”社会的兴起…… 手机人族群、偏好、价值取向、行为习惯、效率、生活，全新地展现了日新月异的科技对人类生活的影响。我们承认所有科技创新都不可避免地在带来便利的同时，也面临危险的挑战，但是，一日千里的科技依旧是人类追逐生活品质的引擎，永无止境。 “天时地利人和”的“熟女”经济 成熟女性们大都经历了中国物质相对匮乏，上一代父母经济不富足的年代，她们共同的族群经验创造出属于她们的思维路径、思考方式和行为习惯，这些都是由于年少的经历和周遭的环境所映射而至。 当她们还在她们青春年少、热爱美好、渴望时尚的年纪，无论是大环境抑或是每个家庭的处境都无法从身心上满足她们对物质、时尚的向往，曾经的飘一代[注释2]潜伏的需求永远都会在条件成熟时破土而生，市场迎合了“熟女”的感受，于是有了当下成熟女性的＂可爱疯＂（iPhone） 。＂熟女＂们从未像现在这样成为时尚与消费的“弄潮儿”，她们引领风气之先（不是整体人数的多少，而是率先与带动），引领移动化微博[注释4] 、引领移动化数字阅读消费、引领移动视频 [注释5]、引领带着带体温的手机购物…… 受到“熟女”的带动，更受到族群心理影响，年轻们撞上了新技术革命，互联网、移动互联网走进每个旮旯与角落，进入手机人时代，符合了年轻们拥有并享受的要求，一切随着渴望而得到满足与实现，这也是对年轻“可爱疯”（iPhone）们[注释6]的最好诠释。 在中国的消费史上，历来都是年轻人引领时尚，唯有这轮＂手机人＂消费与沟通风潮中，成熟女性，淌进了湍急的潮流中，凭借天时，地利，人和，自然而生，催发了一个新的时尚经济类型——“熟女”经济，一个历史性的时刻。 社会化网络下的“熟”体验 社会化网络下，人们的一系列生活与观念的变化日益成熟与清晰，手机人的“熟”体验在方方面面涌现出来，我们从中透视其堂奥。 “手机人”工作与休闲互相伴随 记得儿时，严厉的父亲对着我们说过最多的话就是：学就好好的学，玩就痛快地玩，不要三心二意，否则都不尽心尽兴。 父辈们总是平时努力工作，全力以赴之后，最期盼地就是带着全家人走向公园、大自然、或是风景名胜，完成他们一生追求的幸福与温暖，他们遵循的是：工作是一 回事，休闲是另一回事，泾渭分明。以工作来定义人生，享受则放在未来的岁月里。 现在的青年人早就摒弃了父辈的唠叨与经验，他们体验的是工作与休闲互相伴随，办公室里、自习室中，乐此不彼地“耳机族”们，音乐的节奏并不能阻挡他们学习 与做事的效率，轻松快乐地迎接每一次挑战。 年轻人追求的是： 找寻适合自己生活方式的工作，摒弃为了工作而妥协生活品质，希望过“流行、时尚、休闲的生活”（64.7%）；、 成功者的定义不再是生活乏味的赚钱机器，而是不断推陈出新的玩乐花样，绞尽脑汁的是如何玩得与众不同，玩得品质杰出，他们认为成功者是“第一个适应新技术 的人”（46.2%）。 自由自在体验新事物，愈不按常理常规越好，“喜欢求新求异”（47.7%），休闲的追寻能教导自省与自我改善时，那更是求之不得的事。 把休闲看成是心理需求的手段，看成寻找自我的途径。 不知国内的管理者们是否已经了解了现在的年轻们，不要武断地认为他们没有事业心，他们只是追逐属于自己的时间，掌控自己的生活，寻求事业与生活的平衡，所以，创造更好的、舒适的、娱乐的、健康的工作环境，会让他们留住心情，付出辛勤，创造非凡。 调查显示，46.7%的人随时挂在手机QQ与飞信等即时通讯软件上；45.8%的人经常手机拍照，瞬时分享给好友；28.9%的人经常关注好友动 态……很多人会认为这样会影响他们的工作，殊不知，给他们点空间，给他们点时间，给他们打游戏、聊QQ、写微博、聚人气的机会，不仅不会影响工作，还会让 他们工作并快乐着，相信他们，比任何时候、任何年代都更抱有对成功的渴望，不同的是，他们更希望在平衡的状态下收获事业，这是当下年轻者难以割舍的情怀。 他们不会为了事业放弃生活，但是，他们依旧渴望成功。他们希望在工作与休闲的平衡中获得成就感（62.8%）。 他们才华横溢，期许在更加短暂的期限里，用更加独立、更加自信的方式，更热烈的控制欲来实现自己的梦想，他们或者选择自己创业，或者选择远离熟悉寻求陌生，为了追寻那份异类的，不同以往的成就之美。 游戏日趋休闲化，玩游戏与看电影的理由一样简单 “植物大战僵尸”、“切西瓜”、“小鸡快跑”所有这些游戏已经不同于以前耗时、耗力、耗神的游戏迷式的东东，时代对于游戏的需求是短暂、快乐、激 烈、放松，手机将几岁孩童到几十岁熟男熟女一起带到了游戏乐园里，可以在工作的间隙，可以在电视机的伴随下，可以靠在沙发中，可以在会场上，可以在公共交 通工具里，可以在惬意的床上……不限时间，无所谓地点，一切简单而自然，玩游戏与看电影、遛弯儿、听音乐的理由一样，无需解释，简单、随意。 在他们眼中，人人都有权利享有自己的时间，为了追求内心的满足，而拒绝沉闷、单调是与生俱来的权利。鞋子永远都是用来走路的，因此世界上有了男男女 女，不同国度，地域的背包族穿越于江河湖海、名山大川，寰宇内多了躁动与激情，溪水中，多了柔美与婉约。享受生活，享受属于自己的生命是他们内心的渴望。 游戏也是一样，越变化多端、越丰富、越有趣，能在短时间里得到满足越好，只有那些花样更迭的放纵瞬间，时间是自己的，于是，打球、滑板、骑马、高尔夫、跳 舞、游戏都那么贴近自然——工作与休闲的平衡为成功者注入了一份无与伦比的元素。 不要再认为游戏只是年轻孩子们的喜好，随着苹果与安卓等智能手机终端的应用，游戏已经成为各个年龄段、不同文化程度、各种阶层的休闲根据地[注释7]。 半熟社会的兴起 半熟社会（很熟悉、很贴心、很相知、很意气相投、现实中不认识）的兴起，是由于网络特别是移动互联网时代的来临，促成社会化网络的大行其道，让人类有了更广泛、更多元的新型交流场所与新的交流仪式的后果。 人类最传统、最基本需求之一就是交往需求，心里满足仍然是第一要务。移动终端带领人们不受时间、国家、地域限制自由交往。新的交往纽带提供了个人与 社会的联系通道。彼此可以不相识却能相知，彼此嘘寒问暖却不一定真正熟识，或许只是一条相同“围脖”的转发，拉近了彼此的关系；或许只是SNS里的一次不 经意的围观，找到了彼此的共同；或许是一个小小的评论流露出的情感感染了对方……可能完全没有现实中的陌生与疏离，共同的兴趣、爱好，甚至是欢乐让彼此心 灵靠近。总之，我们结结实实地爱上了，并着迷其中。 [...]]]></description>
			<content:encoded><![CDATA[<p>周末呆在家里，做一个文章专题，分享给大家！</p>
<p>原文链接<a href="http://www.upperplus.cn/up-special/shu" target="_blank">http://www.upperplus.cn/up-special/shu</a></p>
<p><strong>熟女经济和半熟社会——手机人@2011</strong></p>
<p>文/刘向清</p>
<p>电力的兴起，让更多的城市与乡村居住者们，轻按开关便可以驱赶黑夜，“电”，点亮的是家庭、城市、街道，日出而作、日落而息的大自然规律嘎然而止，生活从此有了崭新的面貌，就是“卖单儿”（东北话：看风景）也是万家灯火，街灯璀璨。</p>
<p><span id="more-2037"></span><br />
科技的纯粹与简单，让人类为此目眩神迷，它能改善生活并由此变得一切皆有可能，一切理所当然：“一个人、一台电脑可以成就一份全球的事业”。 移动互联网与电力的普及运用一样深刻地改变着人的生活。C语言之父丹尼斯•里奇创造的UNIX操作系统、史蒂夫·乔布斯缔造的苹果帝国也莫不如此。科技用 最简单的理念打造了人类更纯粹的需求，颠覆并创建了具有划时代意义的生活方式，造就出手机人。</p>
<p>手机不仅一个物件，不仅是一个通讯工具，不仅是一个与人完全分离的数字产品，而是人身体的一部分，像肢体、像感官、像器官，于是人与手机的关系就特殊起来，离不开，剪不断，带体温，<strong>类似于人种的进化——人与机器的融合体——手机人</strong>。这是移动互联网的产物，是原来意念遐想中的机器人的新的体现方式，是时代的象征。</p>
<p>如果说2009年是移动互联网元年的话<a href="http://www.upperplus.cn/up-special/shu#ref1">[注释1]</a>，2011年则是手机深入人们生活、关系日益密切与成熟的一年，手机人成为了生活的＂常态人＂，90.2%的人“认为手机跟钥匙一样，是一定要随身带的”。</p>
<p>2011年，手机人崭露的特点用一个简单的字可以概括：<strong>熟</strong>。苹果“熟透”了；“熟”女可爱疯（iphone）<a href="http://www.upperplus.cn/up-special/shu#ref3">[注释3]</a>；新生活方式日趋“成熟”；“半熟”社会的兴起……</p>
<p>手机人族群、偏好、价值取向、行为习惯、效率、生活，全新地展现了日新月异的科技对人类生活的影响。我们承认所有科技创新都不可避免地在带来便利的同时，也面临危险的挑战，但是，一日千里的科技依旧是人类追逐生活品质的引擎，永无止境。</p>
<h2>“天时地利人和”的“熟女”经济</h2>
<p>成熟女性们大都经历了中国物质相对匮乏，上一代父母经济不富足的年代，她们共同的族群经验创造出属于她们的思维路径、思考方式和行为习惯，这些都是由于年少的经历和周遭的环境所映射而至。</p>
<p><img src="http://www.upperplus.cn/wp-content/uploads/sjr71.jpg" alt="" width="419" height="346" /></p>
<p>当她们还在她们青春年少、热爱美好、渴望时尚的年纪，无论是大环境抑或是每个家庭的处境都无法从身心上满足她们对物质、时尚的向往，曾经的飘一代<a href="http://www.upperplus.cn/up-special/shu#ref2">[注释2]</a>潜伏的需求永远都会在条件成熟时破土而生，市场迎合了“熟女”的感受，于是有了当下成熟女性的＂可爱疯＂（iPhone） 。＂熟女＂们从未像现在这样成为时尚与消费的“弄潮儿”，她们引领风气之先（不是整体人数的多少，而是率先与带动），引领移动化微博<a href="http://www.upperplus.cn/up-special/shu#ref4">[注释4]</a> 、引领移动化数字阅读消费、引领移动视频 <a href="http://www.upperplus.cn/up-special/shu#ref5">[注释5]</a>、引领带着带体温的手机购物……</p>
<p>受到“熟女”的带动，更受到族群心理影响，年轻们撞上了新技术革命，互联网、移动互联网走进每个旮旯与角落，进入手机人时代，符合了年轻们拥有并享受的要求，一切随着渴望而得到满足与实现，这也是对年轻“可爱疯”（iPhone）们<a href="http://www.upperplus.cn/up-special/shu#ref6">[注释6]</a>的最好诠释。 在中国的消费史上，历来都是年轻人引领时尚，唯有这轮＂手机人＂消费与沟通风潮中，成熟女性，淌进了湍急的潮流中，凭借天时，地利，人和，自然而生，催发了一个新的时尚经济类型——“熟女”经济，一个历史性的时刻。</p>
<h2>社会化网络下的“熟”体验</h2>
<p>社会化网络下，人们的一系列生活与观念的变化日益成熟与清晰，手机人的“熟”体验在方方面面涌现出来，我们从中透视其堂奥。</p>
<h3>“手机人”工作与休闲互相伴随</h3>
<p>记得儿时，严厉的父亲对着我们说过最多的话就是：学就好好的学，玩就痛快地玩，不要三心二意，否则都不尽心尽兴。 父辈们总是平时努力工作，全力以赴之后，最期盼地就是带着全家人走向公园、大自然、或是风景名胜，完成他们一生追求的幸福与温暖，他们遵循的是：工作是一 回事，休闲是另一回事，泾渭分明。以工作来定义人生，享受则放在未来的岁月里。 现在的青年人早就摒弃了父辈的唠叨与经验，他们体验的是工作与休闲互相伴随，办公室里、自习室中，乐此不彼地“耳机族”们，音乐的节奏并不能阻挡他们学习 与做事的效率，轻松快乐地迎接每一次挑战。</p>
<p>年轻人追求的是：</p>
<p>找寻适合自己生活方式的工作，摒弃为了工作而妥协生活品质，希望过“流行、时尚、休闲的生活”（64.7%）；、 成功者的定义不再是生活乏味的赚钱机器，而是不断推陈出新的玩乐花样，绞尽脑汁的是如何玩得与众不同，玩得品质杰出，他们认为成功者是“第一个适应新技术 的人”（46.2%）。</p>
<p>自由自在体验新事物，愈不按常理常规越好，“喜欢求新求异”（47.7%），休闲的追寻能教导自省与自我改善时，那更是求之不得的事。 把休闲看成是心理需求的手段，看成寻找自我的途径。</p>
<p>不知国内的管理者们是否已经了解了现在的年轻们，不要武断地认为他们没有事业心，他们只是追逐属于自己的时间，掌控自己的生活，寻求事业与生活的平衡，所以，创造更好的、舒适的、娱乐的、健康的工作环境，会让他们留住心情，付出辛勤，创造非凡。</p>
<p>调查显示，46.7%的人随时挂在手机QQ与飞信等即时通讯软件上；45.8%的人经常手机拍照，瞬时分享给好友；28.9%的人经常关注好友动 态……很多人会认为这样会影响他们的工作，殊不知，给他们点空间，给他们点时间，给他们打游戏、聊QQ、写微博、聚人气的机会，不仅不会影响工作，还会让 他们工作并快乐着，相信他们，比任何时候、任何年代都更抱有对成功的渴望，不同的是，他们更希望在平衡的状态下收获事业，这是当下年轻者难以割舍的情怀。 他们不会为了事业放弃生活，但是，他们依旧渴望成功。他们希望在工作与休闲的平衡中获得成就感（62.8%）。</p>
<p>他们才华横溢，期许在更加短暂的期限里，用更加独立、更加自信的方式，更热烈的控制欲来实现自己的梦想，他们或者选择自己创业，或者选择远离熟悉寻求陌生，为了追寻那份异类的，不同以往的成就之美。</p>
<h2>游戏日趋休闲化，玩游戏与看电影的理由一样简单</h2>
<p>“植物大战僵尸”、“切西瓜”、“小鸡快跑”所有这些游戏已经不同于以前耗时、耗力、耗神的游戏迷式的东东，时代对于游戏的需求是短暂、快乐、激 烈、放松，手机将几岁孩童到几十岁熟男熟女一起带到了游戏乐园里，可以在工作的间隙，可以在电视机的伴随下，可以靠在沙发中，可以在会场上，可以在公共交 通工具里，可以在惬意的床上……不限时间，无所谓地点，一切简单而自然，玩游戏与看电影、遛弯儿、听音乐的理由一样，无需解释，简单、随意。</p>
<p>在他们眼中，人人都有权利享有自己的时间，为了追求内心的满足，而拒绝沉闷、单调是与生俱来的权利。鞋子永远都是用来走路的，因此世界上有了男男女 女，不同国度，地域的背包族穿越于江河湖海、名山大川，寰宇内多了躁动与激情，溪水中，多了柔美与婉约。享受生活，享受属于自己的生命是他们内心的渴望。 游戏也是一样，越变化多端、越丰富、越有趣，能在短时间里得到满足越好，只有那些花样更迭的放纵瞬间，时间是自己的，于是，打球、滑板、骑马、高尔夫、跳 舞、游戏都那么贴近自然——工作与休闲的平衡为成功者注入了一份无与伦比的元素。</p>
<p>不要再认为游戏只是年轻孩子们的喜好，随着苹果与安卓等智能手机终端的应用，游戏已经成为各个年龄段、不同文化程度、各种阶层的休闲根据地<a href="http://www.upperplus.cn/up-special/shu#ref7">[注释7]</a>。</p>
<h2>半熟社会的兴起</h2>
<p>半熟社会（很熟悉、很贴心、很相知、很意气相投、现实中不认识）的兴起，是由于网络特别是移动互联网时代的来临，促成社会化网络的大行其道，让人类有了更广泛、更多元的新型交流场所与新的交流仪式的后果。</p>
<p><img title="sjr1" src="http://www.upperplus.cn/wp-content/uploads/sjr6.jpg" alt="" width="271" height="324" /></p>
<p>人类最传统、最基本需求之一就是交往需求，心里满足仍然是第一要务。移动终端带领人们不受时间、国家、地域限制自由交往。新的交往纽带提供了个人与 社会的联系通道。彼此可以不相识却能相知，彼此嘘寒问暖却不一定真正熟识，或许只是一条相同“围脖”的转发，拉近了彼此的关系；或许只是SNS里的一次不 经意的围观，找到了彼此的共同；或许是一个小小的评论流露出的情感感染了对方……可能完全没有现实中的陌生与疏离，共同的兴趣、爱好，甚至是欢乐让彼此心 灵靠近。总之，我们结结实实地爱上了，并着迷其中。</p>
<p>“通过微博、SNS社交网站进行联系”已经成为手机人的生活方式之一（43.1%），“手机的使用增加了我和不在场的朋友的情感和联系” （77.1%）的同时，“会特意通过手机微博/SNS网站去认识一些人”（33.9%），甚至在外出时，通过手机微博/SNS网站及LBS功能“和周围的 陌生人交流”（22.8%）。</p>
<p>半熟不生的你我，触摸不同的生活，剥开每一个角落，解构了费孝通关于差序格局的论断，血缘、亲缘、地缘日益屈从于趣缘、业缘、聊缘、事件缘，所有这些新的“缘分”让价值观分流与重组，形成各种各样的小小群体，也在理论上挑战了格兰诺维特提出的强关系与弱关系理论。</p>
<p>正是这种半熟关系，引领着“手机人”向着一个没有大群、只有分化的小群的生活方式转化，也在小群的价值碰撞中形成权益的新价值–蜂群思维来了。</p>
<p>（文章中所有的数据均来自于第一象限市场咨询（北京）有限公司“2011年手机人大调查”）</p>
<p><img src="http://www.upperplus.cn/wp-content/uploads/ref.png" alt="" /></p>
<div>
<p>注释1：据CNNIC2011年3月发布的《中国网民手机上网行为研究报告》：2009年我国手机网民增长 1.16亿，同比增长95.5%，手机网民在总体网民中的比例首次达到60.8%，移动互联网2009年在用户规模、基础设施以及用户习惯等方面均迅猛发 展，被称作“移动互联网元年”。</p>
<p>注释2：刘向清、刘德寰：《“飘一代”调查综述》，《新周刊》，2000年</p>
<p>注释3：详情可参见图1(2010年苹果族深描)、图2(2011年苹果族深描)</p>
<p>注释4：详情可参见图3(2010年围脖族深描)</p>
<p>注释5：详情可参见图4(2011年手机视频族深描)</p>
<p>注释6：详情可参见图1(2010年苹果族深描)、图2(2011年苹果族深描)</p>
<p>注释7：详情可参考图5(2011年手机游戏族深描)</p>
</div>
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		<category><![CDATA[小时候]]></category>

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		<description><![CDATA[上班的路上有个小站，叫小清河。小清河不小，但我还是觉得它是个小站，原因有三： 第一，车站名里就带个小。 第二，车站附近有桥，挡住了视线，只能看到马路半边。 第三，过了小清河，就该准备掏卡下车了，有种路过但注定被忽视的感觉。 于是毕了业上了班的日子，每天从这小清河经过，有时顺利有时拥堵而且一堵就半个小时。日复一日地，我就这么地，在四环和五环之间穿梭，摇摆。 我是个不安分的人。经过小清河的时候，心里总会贱贱地想起大清河。 大清河是天津海河的一条支流，静静流过我的老家台头。大清河开凿于哪一年， 我也说不上来。唯一清楚的是， 1996年的时候来了一次大水， 差点把两边的革命堤没过去。之后的十年里， 连年干旱， 锲而不舍。恰好， 我理论上应该学游泳的那几年， 就真包含于这十年里。于是， 我的成了只旱鸭子， 这个遗憾， 直到大学才弥补上。 大清河的北面， 有一条老清河， 现在已经基本被填成平地。爷爷曾说， 老清河里曾经常有小火轮儿呼啸而过。他还说， 我爸十二岁的时候， 就退学去下河工了， 每天挣一分二的公分。 小时候， 某某小孩在河里游泳给淹死了， 这样的事情一直没断过，好像全世界的小孩儿都淹了个遍。后来才知道，那不过是有点过的安全教育。干旱之前，我爸和我爷爷各自手把手地教过我一回，而我因为 太笨以及时胆太小而未能领悟。干旱之后倒也不是全干，大桥（堤叫革命堤，桥叫革命桥）往西几十米有个特别深的坑，从未干过，那坑叫王八坑，据说里边王八 多，估计比北大多。池浅池深，王八都多。 因为水浅了，河边岸上就可以种庄稼，玉米豆子什么的，都可以，但终究地不好，收成也差。 河岸上有我老家的特色建筑&#8211;半包围式一百八十度敞篷厕所。这种厕所我曾经在博客里介绍过（《厕所的故事》）。如果将来我编历史，一定把这东西写进去，叫子孙们赞叹一下祖先 劳动人民偷工减料的智慧。半包围，顾名思义，就是只有一半遮挡的简易厕所，屁股后面可以被挡住，此岸的人看不到。然而如果站在河对岸，眼神好一点，可以把 下半身正面关键部位看得一清二楚。现实是此岸，看不见；理想是彼岸，看得清。中间隔着湍急的河流，行动则是架在河上的桥梁。想看露点，赶紧行动。有个叫克 雷洛夫的作家好像这么说过。这个标语，被删改压缩之后裱起来挂在我初中班里的墙上，时刻提醒我，要行动，要行动。 98年世界杯，我们几个穿着十八块钱一身儿的克罗地亚队服在河岸边荒草地上踢球，场上双方都是克罗地亚，因为法国队和巴西队的队服要二十多一身儿，太他妈贵了。我把球一脚撩进河里，又不敢下水去拿，只能找一根长长的竹竿配合石头一点点往岸边救。 小学班里有个同学，外号叫大清河。要明白，一个不到十岁的小姑娘，被起了这个么个名字，估计一辈子也就毁了。现在，快二十年过去，恐怕大清河的儿子都开始 给班里别的女孩起外号了。记得当时还有个同学叫长颈鹿，基本和傻大个儿是一个意思。还有一个叫上好佳，算是品质上成的女生了，否则不会有这么好的名字。 如今的大清河边，建起了一排排楼房，老清河边也有。这两个小区，一个叫清河苑，一个叫清河秀韵，蛮有诗意。 从大清河到小清河，艹，我的青春过去了。 也许你还喜欢：据说学习不好的男人会变鸭子往事非常操蛋（2）出售《台头镇志》厕所的故事记台头镇农业办主任郝运祥全世界都在说台头话（2）:台头话常用的五十个单词[贰]点十：爸爸的故事台头中学的变迁（12完）台头中学的变迁（11）]]></description>
			<content:encoded><![CDATA[<p>上班的路上有个小站，叫小清河。小清河不小，但我还是觉得它是个小站，原因有三：</p>
<p>第一，车站名里就带个小。</p>
<p>第二，车站附近有桥，挡住了视线，只能看到马路半边。</p>
<p>第三，过了小清河，就该准备掏卡下车了，有种路过但注定被忽视的感觉。</p>
<p>于是毕了业上了班的日子，每天从这小清河经过，有时顺利有时拥堵而且一堵就半个小时。日复一日地，我就这么地，在四环和五环之间穿梭，摇摆。</p>
<p>我是个不安分的人。经过小清河的时候，心里总会贱贱地想起大清河。<br />
<span id="more-2035"></span><br />
大清河是天津海河的一条支流，静静流过我的老家<span class='bm_keywordlink'><a href='http://icewent.com/tag/台头' target="_blank">台头</a></span>。大清河开凿于哪一年， 我也说不上来。唯一清楚的是， 1996年的时候来了一次大水， 差点把两边的革命堤没过去。之后的十年里， 连年干旱， 锲而不舍。恰好， 我理论上应该学游泳的那几年， 就真包含于这十年里。于是， 我的成了只旱鸭子， 这个遗憾， 直到大学才弥补上。</p>
<p>大清河的北面， 有一条老清河， 现在已经基本被填成平地。爷爷曾说， 老清河里曾经常有小火轮儿呼啸而过。他还说， 我爸十二岁的时候， 就退学去下河工了， 每天挣一分二的公分。</p>
<p>小时候， 某某小孩在河里游泳给淹死了， 这样的事情一直没断过，好像全世界的小孩儿都淹了个遍。后来才知道，那不过是有点过的安全教育。干旱之前，我爸和我爷爷各自手把手地教过我一回，而我因为 太笨以及时胆太小而未能领悟。干旱之后倒也不是全干，大桥（堤叫革命堤，桥叫革命桥）往西几十米有个特别深的坑，从未干过，那坑叫王八坑，据说里边王八 多，估计比北大多。池浅池深，王八都多。</p>
<p>因为水浅了，河边岸上就可以种庄稼，玉米豆子什么的，都可以，但终究地不好，收成也差。</p>
<p>河岸上有我老家的特色建筑&#8211;半包围式一百八十度敞篷厕所。这种厕所我曾经在博客里介绍过（<a href="http://datafanr.com/diary/story-of-wc.html">《厕所的故事》</a>）。如果将来我编历史，一定把这东西写进去，叫子孙们赞叹一下祖先 劳动人民偷工减料的智慧。半包围，顾名思义，就是只有一半遮挡的简易厕所，屁股后面可以被挡住，此岸的人看不到。然而如果站在河对岸，眼神好一点，可以把 下半身正面关键部位看得一清二楚。现实是此岸，看不见；理想是彼岸，看得清。中间隔着湍急的河流，行动则是架在河上的桥梁。想看露点，赶紧行动。有个叫克 雷洛夫的作家好像这么说过。这个标语，被删改压缩之后裱起来挂在我初中班里的墙上，时刻提醒我，要行动，要行动。</p>
<p>98年世界杯，我们几个穿着十八块钱一身儿的克罗地亚队服在河岸边荒草地上踢球，场上双方都是克罗地亚，因为法国队和巴西队的队服要二十多一身儿，太他妈贵了。我把球一脚撩进河里，又不敢下水去拿，只能找一根长长的竹竿配合石头一点点往岸边救。</p>
<p>小学班里有个同学，外号叫大清河。要明白，一个不到十岁的小姑娘，被起了这个么个名字，估计一辈子也就毁了。现在，快二十年过去，恐怕大清河的儿子都开始 给班里别的女孩起外号了。记得当时还有个同学叫长颈鹿，基本和傻大个儿是一个意思。还有一个叫上好佳，算是品质上成的女生了，否则不会有这么好的名字。</p>
<p>如今的大清河边，建起了一排排楼房，老清河边也有。这两个小区，一个叫清河苑，一个叫清河秀韵，蛮有诗意。</p>
<p>从大清河到小清河，艹，我的青春过去了。</p>
<div  class="related_post_title">也许你还喜欢：</div><ul class="related_post"><li><a href="http://datafanr.com/diary/smallduck.html" title="据说学习不好的男人会变鸭子">据说学习不好的男人会变鸭子</a></li><li><a href="http://datafanr.com/cold/caodan2.html" title="往事非常操蛋（2）">往事非常操蛋（2）</a></li><li><a href="http://datafanr.com/rural/sell-book-of-taitou.html" title="出售《台头镇志》">出售《台头镇志》</a></li><li><a href="http://datafanr.com/diary/story-of-wc.html" title="厕所的故事">厕所的故事</a></li><li><a href="http://datafanr.com/rural/taiotu-haoyunxiang.html" title="记台头镇农业办主任郝运祥">记台头镇农业办主任郝运祥</a></li><li><a href="http://datafanr.com/rural/taitouhua-2.html" title="全世界都在说台头话（2）:台头话常用的五十个单词">全世界都在说台头话（2）:台头话常用的五十个单词</a></li><li><a href="http://datafanr.com/diary/er10.html" title="[贰]点十：爸爸的故事">[贰]点十：爸爸的故事</a></li><li><a href="http://datafanr.com/rural/changes-in-the-first-secondary-station-12-end.html" title="台头中学的变迁（12完）">台头中学的变迁（12完）</a></li><li><a href="http://datafanr.com/rural/changes-in-the-first-secondary-station-11.html" title="台头中学的变迁（11）">台头中学的变迁（11）</a></li></ul>]]></content:encoded>
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		</item>
		<item>
		<title>用Stata找F(x)</title>
		<link>http://datafanr.com/data/find_fx_with_stata.html</link>
		<comments>http://datafanr.com/data/find_fx_with_stata.html#comments</comments>
		<pubDate>Tue, 15 Nov 2011 17:13:20 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[spss]]></category>
		<category><![CDATA[stata]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2029</guid>
		<description><![CDATA[第一次基本回归之后，R方还相当小，可解释的部分不多，残差里还有很多函数，现在需要把这些函数从残差里找出来。 在SPSS点了很久之后，手累了，而SPSS的Syntax功能又相当弱，循环里只能跑描述，不能跑回归，于是想到用Stata。 假定在数据文件里已经有了edu这个变量，我需要做的是，找出edu的各个变式（也就是edu的各种初级函数），然后用基本回归方程的残差对这些变式的两两组合、三三组合甚至四四组合做回归，找到显著的项。 以三三组合为例，下边的这个do文件可以实现： set more off //compute gen sqrtEdu = sqrt(edu) gen edu2 = edu^2 gen edu3 = edu^3 gen edu4 = edu^4 gen daoEdu =1/edu gen lnEdu = ln(edu) gen daoLnEdu = 1/ln(edu) gen sinEdu = sin(edu) gen tanEdu = tan(edu) gen arctanEdu = atan(edu) gen expEdu = exp(edu) local v1 “edu sqrtEdu [...]]]></description>
			<content:encoded><![CDATA[<p>第一次基本回归之后，R方还相当小，可解释的部分不多，残差里还有很多函数，现在需要把这些函数从残差里找出来。<br />
在SPSS点了很久之后，手累了，而SPSS的Syntax功能又相当弱，循环里只能跑描述，不能跑回归，于是想到用Stata。<br />
假定在数据文件里已经有了edu这个变量，我需要做的是，找出edu的各个变式（也就是edu的各种初级函数），然后用基本回归方程的残差对这些变式的两两组合、三三组合甚至四四组合做回归，找到显著的项。<br />
以三三组合为例，下边的这个do文件可以实现：<br />
<span id="more-2029"></span></p>
<blockquote><p>set more off</p>
<p>//compute</p>
<p>gen sqrtEdu = sqrt(edu)<br />
gen edu2 = edu^2<br />
gen edu3 = edu^3<br />
gen edu4 = edu^4<br />
gen daoEdu =1/edu<br />
gen lnEdu = ln(edu)<br />
gen daoLnEdu = 1/ln(edu)<br />
gen sinEdu = sin(edu)<br />
gen tanEdu = tan(edu)<br />
gen arctanEdu = atan(edu)<br />
gen expEdu = exp(edu)</p>
<p>local v1 “edu sqrtEdu edu2 edu3 edu4 daoEdu lnEdu daoLnEdu sinEdu tanEdu arctanEdu expEdu”<br />
local v2 `v1&#8242;<br />
local v3 `v1&#8242;<br />
local v4 `v1&#8242;<br />
/*<br />
local ih = 1<br />
local ii = 1<br />
local ij = 1<br />
*/<br />
local add=0</p>
<p>foreach h of local v1 {<br />
foreach i of local v2 {<br />
foreach j of local v3 {<br />
//if (`h&#8217; != `i&#8217; &#038; `h&#8217; != `j&#8217; &#038; `i&#8217; != `j&#8217;) {<br />
if (`h&#8217; < `i' &#038; `h' < `j' &#038; `i' < `j') {<br />
//local add = `add' + 1<br />
//di `add'<br />
capture est clear<br />
reg resdbtime `h' `i' `j'<br />
outreg2 using reg_restdbtime_edu.txt,append<br />
}<br />
}<br />
}<br />
}<br />
*/
</p></blockquote>
</blockquote>
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		</item>
		<item>
		<title>分类信息网站市场现状</title>
		<link>http://datafanr.com/data/fenleixinxi.html</link>
		<comments>http://datafanr.com/data/fenleixinxi.html#comments</comments>
		<pubDate>Sun, 23 Oct 2011 16:41:52 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[58同城]]></category>
		<category><![CDATA[分类信息网站]]></category>
		<category><![CDATA[市场分析]]></category>
		<category><![CDATA[赶集网]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2020</guid>
		<description><![CDATA[姚晨骑驴骑了半年多过去了，杨幂也“神奇”了半年了，分类信息网站现在变成个什么样子了？ 1.“乱”市场：进入容易，领先难 本地生活服务分类信息网站市场巨大，技术门槛低，大量企业涌入（58同城、百姓网、列表网等，以及各行业垂直分类信息网站），同质化严重。 赶集网率先引入名人代言，大规模投放广告，58同城迅速跟随模仿，攻势不亚于赶集，近期SEO超越赶集网  搜索引擎竞争状况 注：所有数据截至2011年8月中旬 2.“贱”用户：取悦容易，忠诚难 “免费”成为分类信息网站独特卖点，用户乐于使用。但多数用户选择多平台发帖，无法独家代理。平台转换成本为零，难以培养忠诚度 由于信息真实性很少审核，不及专业垂直网站规范，不法分子滥用平台 •有用户发布简历，却收到“求一夜情”骚扰短信 •有用户打着交友的幌子推销 3.“笨”经纪人：尝试容易，操作难 以北京房地产中介行业为例，有数万活跃经纪人在各种平台（搜狐焦点、安居客等、赶集网）上付费发布房租买卖租赁信息。但这群人学历较低，使用“端口”发帖时有一定困难，效率低。 简化操作流程，抓住这群人，可以为网站培养忠诚用户。 抓住这些舍得花钱的经纪人，网站网站也就有了固定收入。 还有一点想说的是，赶集网走的早，也老得快，如今58同城日新月异，而赶集网还是那个老样子，该改改了吗？ 也许你还喜欢：忽然很是怀念过去的自己存折丢失之后丢的尽是书寒假小结-Easy Picasa真不错两个迅雷的较量：手机的UC迅雷 vs. 迅雷的手机迅雷与真理同行，与中国同心——记那些燕园的美国友人（from《北大青年》）怀念油渣饼再祝:小元万福只要一碗方便面]]></description>
			<content:encoded><![CDATA[<p align="left">姚晨骑驴骑了半年多过去了，杨幂也“神奇”了半年了，分类信息网站现在变成个什么样子了？</p>
<p align="left"><img class="alignnone size-full wp-image-2023" title="分类信息网站市场现状" src="http://datafanr.com/wp-content/uploads/2011/10/fenleixinxi.jpg" alt="" width="556" height="393" /></p>
<p><span id="more-2020"></span></p>
<h3 align="left"><strong>1.“</strong><strong>乱”市场：进入容易，领先难</strong></h3>
<p align="left">本地生活服务分类信息网站市场巨大，技术门槛低，大量企业涌入（58同城、百姓网、列表网等，以及各行业垂直分类信息网站），同质化严重。</p>
<p align="left">赶集网率先引入名人代言，大规模投放广告，58同城迅速跟随模仿，攻势不亚于赶集，近期SEO超越赶集网</p>
<p align="left"> <strong>搜索引擎竞争状况</strong></p>
<p align="left"><img class="alignnone size-full wp-image-2021" title="分类信息网站SEO现状" src="http://datafanr.com/wp-content/uploads/2011/10/ganji.jpg" alt="" width="559" height="340" /></p>
<p align="left">注：所有数据截至2011年8月中旬</p>
<h3 align="left"><strong>2.“</strong><strong>贱”用户：取悦容易，忠诚难</strong></h3>
<p align="left">“免费”成为分类信息网站独特卖点，用户乐于使用。但多数用户选择多平台发帖，无法独家代理。平台转换成本为零，难以培养忠诚度</p>
<p align="left">由于信息真实性很少审核，不及专业垂直网站规范，不法分子滥用平台</p>
<p align="left">•有用户发布简历，却收到“求一夜情”骚扰短信</p>
<p align="left">•有用户打着交友的幌子推销</p>
<h3 align="left"><strong>3.“</strong><strong>笨”经纪人：尝试容易，操作难</strong></h3>
<p align="left">以北京房地产中介行业为例，有数万活跃经纪人在各种平台（搜狐焦点、安居客等、赶集网）上付费发布房租买卖租赁信息。但这群人学历较低，使用“端口”发帖时有一定困难，效率低。</p>
<p align="left">简化操作流程，抓住这群人，可以为网站培养忠诚用户。</p>
<p align="left">抓住这些舍得花钱的经纪人，网站网站也就有了固定收入。</p>
<p>还有一点想说的是，赶集网走的早，也老得快，如今58同城日新月异，而赶集网还是那个老样子，该改改了吗？</p>
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		<title>幸福工房启示录：幸福=房</title>
		<link>http://datafanr.com/cold/happyfactory.html</link>
		<comments>http://datafanr.com/cold/happyfactory.html#comments</comments>
		<pubDate>Sun, 16 Oct 2011 13:39:28 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[2.原创冷笑话]]></category>
		<category><![CDATA[房子]]></category>

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		<description><![CDATA[幸福工房是坐落在北京大学西门外畅春园食街的一家小店，我一直以为它只是一个店，直到我看懂了他们家招牌： 启示1：幸福=房 “工”字写得很特殊，很扁，就像个等于号。怪不得，原来有房才能幸福。 启示2：幸福二房 @王学良0121 同学发现，原来这是在鼓励包二奶，幸福二房。 启示3：幸福≠房 @蔡融融 同学说，其实看着不是等于号，因为“工”字中间那一小竖，这个图应该理解为：幸福不等于房。 启示4：没熬出头的时候，幸福=房；等熬出头了，幸福≠房。 但无论如何，现实生活中，幸福总是和房扯在一起的。而且，“工”字的小竖，并没有出头。可以如此阐释：在你没钱的时候，幸福就等于房；而当你熬出头，幸福就不等于房了。 也许你还喜欢：其实我是个龙套围巾网购这些年博客回国：献给祖国老娘的国庆贺礼来，写个日志（跑鞋）台头概要全都搞定了天堂有雨，幸福有你初玩实况11]]></description>
			<content:encoded><![CDATA[<p>幸福工房是坐落在北京大学西门外畅春园食街的一家小店，我一直以为它只是一个店，直到我看懂了他们家招牌：</p>
<p><img class="alignnone size-full wp-image-2018" title="幸福工房：幸福=房" src="http://datafanr.com/wp-content/uploads/2011/10/happyfactory.jpg" alt="" width="440" height="330" /></p>
<p>启示1：幸福=房</p>
<p>“工”字写得很特殊，很扁，就像个等于号。怪不得，原来有房才能幸福。</p>
<p>启示2：幸福二房</p>
<p>@<a href="http://photo.weibo.com/2357950903/albums">王学良0121</a> 同学发现，原来这是在鼓励包二奶，幸福二房。</p>
<p>启示3：幸福≠房</p>
<p><a href="http://weibo.com/n/%E8%94%A1%E8%9E%8D%E8%9E%8D">@蔡融融 </a>同学说，其实看着不是等于号，因为“工”字中间那一小竖，这个图应该理解为：幸福不等于房。</p>
<p>启示4：没熬出头的时候，幸福=房；等熬出头了，幸福≠房。</p>
<p>但无论如何，现实生活中，幸福总是和房扯在一起的。而且，“工”字的小竖，并没有出头。可以如此阐释：在你没钱的时候，幸福就等于房；而当你熬出头，幸福就不等于房了。</p>
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		<title>朝十晚八：网民正在浏览购物网站</title>
		<link>http://datafanr.com/data/buying-time.html</link>
		<comments>http://datafanr.com/data/buying-time.html#comments</comments>
		<pubDate>Wed, 12 Oct 2011 14:42:06 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[信息图]]></category>
		<category><![CDATA[网购]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2014</guid>
		<description><![CDATA[网购这么火，那网民们每天都在什么时候浏览购物网站呢？ 研究发现，这个时间是早上十点和晚上八点。十点，刚刚开始上班，还没着手工作或者刚刚处理完昨天遗留的任务，先网购一把！下班到家干点什么呢？先看看购物网站上有什么好东西再说。 有趣的是，女性在上午和下午这两个时间点浏览网站的比例差不多，而男性则不同，他们白天看的不多，晚上再使劲儿看，还是男人热爱工作，沉得住气！ （数据来源：第一象限） &#160; 也许你还喜欢：网购这些年]]></description>
			<content:encoded><![CDATA[<p>网购这么火，那网民们每天都在什么时候浏览购物网站呢？</p>
<p><img class="alignnone size-full wp-image-2015" title="网购者每天几点浏览购物网站？" src="http://datafanr.com/wp-content/uploads/2011/10/online-buying-time.jpg" alt="" width="520" height="1092" /></p>
<p>研究发现，这个时间是早上十点和晚上八点。十点，刚刚开始上班，还没着手工作或者刚刚处理完昨天遗留的任务，先网购一把！下班到家干点什么呢？先看看购物网站上有什么好东西再说。</p>
<p>有趣的是，女性在上午和下午这两个时间点浏览网站的比例差不多，而男性则不同，他们白天看的不多，晚上再使劲儿看，还是男人热爱工作，沉得住气！</p>
<p>（数据来源：<a href="http://www.upperplus.cn" target="_blank">第一象限</a>）</p>
<p>&nbsp;</p>
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		<title>足球手机人——绿茵场手机拟人</title>
		<link>http://datafanr.com/cold/cellphone-football.html</link>
		<comments>http://datafanr.com/cold/cellphone-football.html#comments</comments>
		<pubDate>Tue, 11 Oct 2011 15:54:40 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[2.原创冷笑话]]></category>

		<guid isPermaLink="false">http://datafanr.com/?p=2004</guid>
		<description><![CDATA[中国队果然不孚众望，主场0比1负于伊拉克，我很悲伤。悲伤之余，感觉压力很大，于是痛定思痛，给中国队组织了一套高科技阵容。 iPhone 美国外援，技术好、爆发力强、盘带出神入化，但注重效率，能选择最简洁有效的方式进球，是队中的核心，通常全队的进攻由他发动 HTC 台湾省队主力，但由于各种原因从未参加过中超以及甲A联赛，有中国吉格斯之称。机器人般卓越，思维敏捷，大局观强，是少有的用脑子踢球的球员（替补：本土球员乐Phone，因为比赛中拼抢积极，但体力不好，经常用到一半没电，于是选乐Phone做替补，弥补其体力上的缺陷，同时乐Phone与iPhone在俱乐部里是多年的队友，配合比较默契，是一对不错的锋线搭档） SumSang 韩国外援，其缩写为SS，天生是影子前锋（Second Striker）的材料，与HTC技术上如出一辙，动作花里胡哨，虽体力依然不佳，但意志力超强。 Lenovo 土生土长的本土球员，曾效力于北京国安，现在在北美球队效力，对了，他有一个中文名字叫联想。让他打左边的原因是他的名字里有个L。 BlackBerry 美国外援，技术长处在于传球精准，点对点推送。曾受到过美国前总统布什以及女性麦当娜等人的亲切会见。让他打右边的原因是他有个滚轮在右边。 LG 韩国外援，中场核心。体能充沛，耐力持久，超长待机，江湖人称“跑不死的LG”。 Motorola 美国外援。曾经踢过前锋，但已过颠峰时期又想为祖国贡献余热，于是退居二线。能像摩托车一样前后场奔袭，典型的荷兰全攻全守范儿。 Sony Ericsson 日本外援。经常心不在焉，在足球场上散步，人称足坛“Walkman”。 Sharp 日本外援。右后卫，其助攻极为犀利。 Bird 本土后卫，后卫中的战斗机，中文名叫波导。 Nokia 芬兰外援。牢固可靠，有他守门我放心。门将扑救难免冲撞摔伤，但Nokia每次倒下，都会立刻爬起来，怎么摔也摔不坏。一夫当关万夫莫开。 &#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211; Coach：iceWenT &#160; 也许你还喜欢：多少爱，多少恨Michael老师的第一堂课归不归中国SNS的开放化浅析我想学漫画夹竹桃统计让我哭：有趣中用的统计行业网站博客搬家通知灵魂的眼泪]]></description>
			<content:encoded><![CDATA[<p>中国队果然不孚众望，主场0比1负于伊拉克，我很悲伤。悲伤之余，感觉压力很大，于是痛定思痛，给中国队组织了一套高科技阵容。</p>
<p><img class="alignnone size-full wp-image-2007" title="cellphone-football" src="http://datafanr.com/wp-content/uploads/2011/10/cellphone-football.jpg" alt="" width="504" height="672" /></p>
<p><strong>iPhone</strong> 美国外援，技术好、爆发力强、盘带出神入化，但注重效率，能选择最简洁有效的方式进球，是队中的核心，通常全队的进攻由他发动</p>
<p><strong><span id="more-2004"></span>HTC</strong> 台湾省队主力，但由于各种原因从未参加过中超以及甲A联赛，有中国吉格斯之称。机器人般卓越，思维敏捷，大局观强，是少有的用脑子踢球的球员（替补：本土球员乐Phone，因为比赛中拼抢积极，但体力不好，经常用到一半没电，于是选乐Phone做替补，弥补其体力上的缺陷，同时乐Phone与iPhone在俱乐部里是多年的队友，配合比较默契，是一对不错的锋线搭档）</p>
<p><strong>SumSang</strong> 韩国外援，其缩写为SS，天生是影子前锋（Second Striker）的材料，与HTC技术上如出一辙，动作花里胡哨，虽体力依然不佳，但意志力超强。</p>
<p><strong>Lenovo</strong> 土生土长的本土球员，曾效力于北京国安，现在在北美球队效力，对了，他有一个中文名字叫联想。让他打左边的原因是他的名字里有个L。</p>
<p><strong>BlackBerry</strong> 美国外援，技术长处在于传球精准，点对点推送。曾受到过美国前总统布什以及女性麦当娜等人的亲切会见。让他打右边的原因是他有个滚轮在右边。</p>
<p><strong>LG</strong> 韩国外援，中场核心。体能充沛，耐力持久，超长待机，江湖人称“跑不死的LG”。</p>
<p><strong>Motorola</strong> 美国外援。曾经踢过前锋，但已过颠峰时期又想为祖国贡献余热，于是退居二线。能像摩托车一样前后场奔袭，典型的荷兰全攻全守范儿。</p>
<p><strong>Sony Ericsson</strong> 日本外援。经常心不在焉，在足球场上散步，人称足坛“Walkman”。</p>
<p><strong>Sharp</strong> 日本外援。右后卫，其助攻极为犀利。</p>
<p><strong>Bird</strong> 本土后卫，后卫中的战斗机，中文名叫波导。</p>
<p><strong>Nokia</strong> 芬兰外援。牢固可靠，有他守门我放心。门将扑救难免冲撞摔伤，但Nokia每次倒下，都会立刻爬起来，怎么摔也摔不坏。一夫当关万夫莫开。</p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;</p>
<p>Coach：<a href="http://datafanr.com" target="_blank">iceWenT</a></p>
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		<title>SPSS数据清洗小记</title>
		<link>http://datafanr.com/data/data-cleansing.html</link>
		<comments>http://datafanr.com/data/data-cleansing.html#comments</comments>
		<pubDate>Tue, 04 Oct 2011 07:53:06 +0000</pubDate>
		<dc:creator>icewent</dc:creator>
				<category><![CDATA[0.数据分析]]></category>
		<category><![CDATA[数据清洗]]></category>

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		<description><![CDATA[从大三开始到毕业三个月的现在，我一直处于实习或者试用的状态，辗转多个公司，终于选了最小的那一个，也就是我现在供职的企业，一家刚刚起步的咨询公司，专注于移动互联网相关的行业。 在这段迷茫的时间里，博客很少更新。一方面是因为飘泊不定，另一方面总是想憋一篇长文出来，但事实上我写博客也跟便秘一个样子，生憋基本只能把屎烂在肚子里。思前想后，偶有所得时记录一下更有意义，并且可以历久弥新。 今天的所得是数据分析中清洗数据的一些小零碎，算不得经验，行家看起来肯定会嗤之以鼻，但对于我，一个数据菜鸟，却是一笔宝贵的财富。 数据清洗有两个层面：一是变量层面，一是Case层面（能有这样的想法，多半是由于SPSS的设计，它有一个Variable视图和一个Data视图），以变量为核心，再进一步检查Case。 1.变量层面 （1）针对每一个变量，检查它的Type 许多网络问卷回收的数据会把数值型的变量做成字符串型，字符串不能计算，要改回来。 （2）检查变量的Measure 变量包含的信息从高到底排列依次是定距（Scale）、定序（Ordinal）、定类（Nominal），能定距则定距，不能的话再退而求其次，变量的层次越高，能使用的分析方法也就越多。比如年龄变量一定要定距、满意度打分要定距、收入层次和文化程度可以定序。 北大刘德寰老师在传播学研究方法课上，曾提出16个重要变量，各自的变量层级可以是（个人理解）：文化程度（定序）、收入与消费（定序居多，定距更好）、职业（定类）、年龄（定距，必须定距）、性别（定类）、婚姻状况（定类）、少年时期家庭居住地（定类，也可以是定序，按一线二线城市分）、家庭规模（定序，最好定距）、家庭体制内外（定类）、家庭生命周期（定类）、工作周期（定序、定类）、是否独生子女（定类）、是否知青（定类）、是否上网（定类）、居住环境（定类）、自以为的社会阶层（定序）。 （3）检查变量的Label 标签是对一个变量的解释，原始变量可以是题目，生成变量需要解释。如果一个标签特别长的话，在分析（如跑Frequency）时会看不到题号，这个时候可以在标签开头加上题号，方便辨认。比如下图中第一题可以改成[A1]请问您现在居住的城市是。 （4）检查变量Missing（缺失值）设定 比如问卷中“不知道”设置成了99，那么，99应该列入Missing。当然一个值是否是Missing，要根据具体分析目的确定。还有一种情况，有些Missing要改成合理的值。如果一个选项，有些人选了，有些人没选，那Missing最好改成0，这样分析百分比的时候得到的才是总体情况，而不是选了该选项的群体的情况。 （5）检查变量Values设定 比如性别题，1代表男，2代表女，3代表中间（开玩笑），就必须在Values里写清。这样做一些分析（比如跑Crosstabs）时就会自动列出男女而不是1、2。 （6）还有一个比较重要的是，检查Decimals（小数点位数） 一般是0，免得多出许多不必要的小数位，比如45岁变成了45.000岁，有时可以大一点。 说了这么多，其实你已经发现了，就是把Variables视图里的每一列都看一遍。 2.Case层面 接下来需要分析每一道题。 （1）极端值 首先对所有变量跑一遍Frequency，看看所有Case的集中趋势和离散趋势，看看极端值是否合理，是否需要修改。比如问卷中有两道题问年龄，前一道在问卷的开头，问您是哪个年龄段，后面一道在最后，问具体年龄。我们发现，前一道题选了”20—29岁“，后一题却写了56，那应该有问题。看看是故意填错的，还是无心之过，以此来决定是修改继续用还是直接删除这个Case。 （2）逻辑 问卷中会有一些跳转，如果选了A，则跳到第10题，中间的题不必答。但实际调查中可能会疏忽或由于系统故障导致一些不该答而答了或者该答而未答的问题，所以需要仔细检查逻辑。 （3）配额 样本不是越多越好，比如你需要照顾比例的时候。收了3000样本，其中2000男，1000女，而你要做很多男女对比分析，那恐怕你需要删掉1000男。SPSS在Select Cases命令中提供了随机筛选的功能，可以帮助实现随机删除。 我在数据清洗的过程中，还遇到一些问题，比如要根据变量和问卷编号定位一个数，在SPSS中无法快速定位，不知道该怎样解决，求高手支招！ 写于第二次清洗数据之后，考虑不周，欢迎交流。 也许你还喜欢：天堂有雨，幸福有你老屋里的女人往事非常操蛋梦之离奇事件Veno：能在大学里免费上网的小工具[转]2008年九大出版事件博客回国：献给祖国老娘的国庆贺礼全都搞定了被动的反思]]></description>
			<content:encoded><![CDATA[<p align="left">从大三开始到毕业三个月的现在，我一直处于实习或者试用的状态，辗转多个公司，终于选了最小的那一个，也就是我现在供职的企业，一家刚刚起步的咨询公司，专注于移动互联网相关的行业。</p>
<p align="left">在这段迷茫的时间里，博客很少更新。一方面是因为飘泊不定，另一方面总是想憋一篇长文出来，但事实上我写博客也跟便秘一个样子，生憋基本只能把屎烂在肚子里。思前想后，偶有所得时记录一下更有意义，并且可以历久弥新。</p>
<p align="left">今天的所得是数据分析中清洗数据的一些小零碎，算不得经验，行家看起来肯定会嗤之以鼻，但对于我，一个数据菜鸟，却是一笔宝贵的财富。</p>
<p align="left">数据清洗有两个层面：一是变量层面，一是Case层面（能有这样的想法，多半是由于SPSS的设计，它有一个Variable视图和一个Data视图），以变量为核心，再进一步检查Case。</p>
<h3 align="left">1.变量层面</h3>
<p align="left"><strong>（1）针对每一个变量，检查它的Type</strong></p>
<p align="left">许多网络问卷回收的数据会把数值型的变量做成字符串型，字符串不能计算，要改回来。</p>
<p align="left"><img src="http://datafanr.com/wp-content/uploads/2011/10/variable_measure.jpg" alt="" /></p>
<p align="left"><strong>（2）检查变量的Measure</strong></p>
<p><span id="more-1967"></span></p>
<p align="left">变量包含的信息从高到底排列依次是定距（Scale）、定序（Ordinal）、定类（Nominal），能定距则定距，不能的话再退而求其次，变量的层次越高，能使用的分析方法也就越多。比如年龄变量一定要定距、满意度打分要定距、收入层次和文化程度可以定序。</p>
<blockquote>
<p align="left">北大刘德寰老师在传播学研究方法课上，曾提出16个重要变量，各自的变量层级可以是（个人理解）：文化程度（定序）、收入与消费（定序居多，定距更好）、职业（定类）、年龄（定距，必须定距）、性别（定类）、婚姻状况（定类）、少年时期家庭居住地（定类，也可以是定序，按一线二线城市分）、家庭规模（定序，最好定距）、家庭体制内外（定类）、家庭生命周期（定类）、工作周期（定序、定类）、是否独生子女（定类）、是否知青（定类）、是否上网（定类）、居住环境（定类）、自以为的社会阶层（定序）。</p>
</blockquote>
<p align="left"><strong>（3）检查变量的Label</strong></p>
<p align="left">标签是对一个变量的解释，原始变量可以是题目，生成变量需要解释。如果一个标签特别长的话，在分析（如跑Frequency）时会看不到题号，这个时候可以在标签开头加上题号，方便辨认。比如下图中第一题可以改成[A1]请问您现在居住的城市是。</p>
<p align="left"><img src="http://datafanr.com/wp-content/uploads/2011/10/frequency.jpg" alt="" /></p>
<p align="left"><strong>（4）检查变量Missing（缺失值）设定</strong></p>
<p align="left">比如问卷中“不知道”设置成了99，那么，99应该列入Missing。当然一个值是否是Missing，要根据具体分析目的确定。还有一种情况，有些Missing要改成合理的值。如果一个选项，有些人选了，有些人没选，那Missing最好改成0，这样分析百分比的时候得到的才是总体情况，而不是选了该选项的群体的情况。</p>
<p align="left"><strong>（5）检查变量Values设定</strong></p>
<p align="left">比如性别题，1代表男，2代表女，3代表中间（开玩笑），就必须在Values里写清。这样做一些分析（比如跑Crosstabs）时就会自动列出男女而不是1、2。</p>
<p align="left"><strong>（6）还有一个比较重要的是，检查Decimals（小数点位数）</strong></p>
<p align="left">一般是0，免得多出许多不必要的小数位，比如45岁变成了45.000岁，有时可以大一点。</p>
<p align="left">说了这么多，其实你已经发现了，就是把Variables视图里的每一列都看一遍。</p>
<p align="left"><img src="http://datafanr.com/wp-content/uploads/2011/10/clearsing.jpg" alt="" /></p>
<h3 align="left">2.Case层面</h3>
<p align="left">接下来需要分析每一道题。</p>
<p align="left"><strong>（1）极端值</strong></p>
<p align="left">首先对所有变量跑一遍Frequency，看看所有Case的集中趋势和离散趋势，看看极端值是否合理，是否需要修改。比如问卷中有两道题问年龄，前一道在问卷的开头，问您是哪个年龄段，后面一道在最后，问具体年龄。我们发现，前一道题选了”20—29岁“，后一题却写了56，那应该有问题。看看是故意填错的，还是无心之过，以此来决定是修改继续用还是直接删除这个Case。</p>
<p align="left"><strong>（2）逻辑</strong></p>
<p align="left">问卷中会有一些跳转，如果选了A，则跳到第10题，中间的题不必答。但实际调查中可能会疏忽或由于系统故障导致一些不该答而答了或者该答而未答的问题，所以需要仔细检查逻辑。</p>
<p align="left"><strong>（3）配额</strong></p>
<p align="left">样本不是越多越好，比如你需要照顾比例的时候。收了3000样本，其中2000男，1000女，而你要做很多男女对比分析，那恐怕你需要删掉1000男。SPSS在Select Cases命令中提供了随机筛选的功能，可以帮助实现随机删除。</p>
<p align="left"><img src="http://datafanr.com/wp-content/uploads/2011/10/random.jpg" alt="" /></p>
<p align="left"><strong>我在数据清洗的过程中，还遇到一些问题，比如要根据变量和问卷编号定位一个数，在SPSS中无法快速定位，不知道该怎样解决，求高手支招！</strong></p>
<p align="left">写于第二次清洗数据之后，考虑不周，欢迎交流。</p>
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