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Finding Law Firms in CitiesBig Data Analysis with Law and Geography <section style="font-family:微软雅黑;font-size:16px;" label="Powered by 135editor.com" data-role="outer"><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="86357" data-tools=""><section style="text-align:center;"><section style="display:inline-block;width:192px;"> <img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz/cZV2hRpuAPialHghKLjic2ibD7sFcuQ6wrakMrFv47qt1Lib5BD10KWLibRMLZbdQtY2TwasT3klmETSDmgXziaH3pOQ/0" style="max-width:100%;" /> 作者: Shu Wang，伦敦国王学院（King’s College London）校对: Jin Lun Liu，雷丁大学   （The University of Reading）排版: Jin Lun Liu，雷丁大学    (The University of Reading) <img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz/cZV2hRpuAPialHghKLjic2ibD7sFcuQ6wrakMrFv47qt1Lib5BD10KWLibRMLZbdQtY2TwasT3klmETSDmgXziaH3pOQ/0" style="max-width:100%;" /></section></section></section>            Law firm is a special geographical object in the city. Unlike gas station or quick store, it lacks the attention from academic field. However, if we can dig out some interesting patterns behind the surface, we can have high probability to publish some attractive papers in reputable journals (both attracting scholars from legal profession and geography). But, how to achieve our goal? The cooperation of law, geography and big data analysis (statistics) are unavoidable. </section><section style="font-family:微软雅黑;font-size:16px;" label="Powered by 135editor.com" data-role="outer"><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="85736" data-tools=""><img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz/yqVAqoZvDibGMEA8vvxgFGXlBuKlBYGsGMpJCYbdz93Xtz6hsukWCHkyogaXLscNTLNRvVQ8yvreo9y79DkAY8w/0.gif" style="max-width:100%;" /></section>    Currently, we are approaching the boarder of time of big data. Data are in anywhere. The scholars in every discipline have impulse to do data analysis, and this tendency contage to majors in social or humanity science, which they seldom deal with data analysis (including data collection or statistical modelling). However, the gap between touching the data and implementing data to dig out some interesting patterns is huge. It is our (data scientists) duty to propagate how to collect data and how to analyse data. We decide to use data in legal profession as </section>In order to have the better performance for listening the lecture, I suggest the audiences read the following materials in advance. (1) the dataset is from http://www.hkba.org/zh-hant/Bar-List/senior-counsel. Of course, there is not background knowledge required. (2) It is a very excellent R tutorial for beginners or freshers in R programming http://www.statmethods.net/.(3) The material for data grabbing is from https://blog.gtwang.org/r/rvest-web-scraping-with-r/2/, it will be useful if you want to revisit or use them in your own field. <section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="89714" data-tools=""></section><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="89182" data-tools=""><img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz_png/fgnkxfGnnkRntkTEhlnCAXsPQXKEx3C0qNjNlDOl7U6HIbIcDDpxIgxxFicf88BJicNRZdFnyc1ryxSt81Uzz5HQ/0.png" style="max-width:100%;" /></section><img src="" style="max-width:100%;" />    During the talk, I will show how to illustrate process of how to change the results from complex figure into the plots like this:   In the past, people are hard to link statistics to law. Now, with the help of framework established by big data analysis, we can try to search and extract the data from a large amount of raw material and do some rudimentary analysis. The purpose is, after this talk, we will gradually recognize the attraction of data analysis is hard to reluct. <section style="font-family:微软雅黑;font-size:16px;" label="Powered by 135editor.com" data-role="outer"><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="85736" data-tools=""><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="110" data-tools=""></section><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="110" data-tools=""><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="89714" data-tools=""></section><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="89715" data-tools=""><section style="text-align:center;"><section style="display:inline-block;width:30px;"></section></section></section><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="89715" data-tools=""><section style="text-align:center;"><section style="display:inline-block;width:30px;"><img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz_gif/4BY4nn87ITkYibXSrg4akQicFianNJCG2W3iaKXPXwZkxWQF5Dth5XkjRDxFr7coiajCXeKoKL1jqLT501iazy11pxXw/0.gif" style="max-width:100%;" /></section></section></section>This talk will cover the following components:</section></section></section>(1) The brief introduction of big data analysis(2) How to collect data through Internet(3) Data cleaning and reshaping(4) Basic statistical analysis(5) Geography visualization<img src="" style="max-width:100%;" />   This lecture combines Statistics, Computer Programming, Law and Geography subtly and vividly. To begin with, I will send nearly 10 minutes to introduce concept of big data and data grabbing (数据爬取）through PPT. And then I will use R as programming platform to display the whole process of programming step by step (nearly 20 minutes). Finally, the rest of the time would be left for audiences for discussion and answering questions. <img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz_png/4YZEqqibyibyXoBygVl0QmWWA2icTruQdoYV8FoNjquuoHLSY89dCxt78BRLSkjZKBey3PWotOmz031uyFoGfRXZg/0?wx_fmt=png" style="max-width:100%;" /><img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz_png/4YZEqqibyibyXoBygVl0QmWWA2icTruQdoYZICjKuaZNvHRHD4ZDKmibeGm3SOT67a90QHDUjOxIrwRgvnSApaSppw/0?wx_fmt=png" style="max-width:100%;" /><section style="font-family:微软雅黑;font-size:16px;" label="Powered by 135editor.com" data-role="outer"><section class="_135editor" style="padding: 0px; border-width: 0px; border-style: initial; border-color: initial; box-sizing: border-box;" data-id="85982" data-tools=""><section style="padding: 10px; color: rgb(62, 62, 62); margin-top: 5px; box-sizing: border-box;"><img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz/yqVAqoZvDibGn3quicLUfUwlIuWZlUCASOYuepCwbOiaNHC4CIHpsr252icsEyHy4ltkuIO0UrPuwCyZ8GHTf10mTA/0.png" style="max-width:100%;" /><img src="" style="max-width:100%;" /> </section></section></section>Location: Social space of Angel Lane, Stratford, E15 1FFRegistration: If you are interested in this talk, please register via 1. https://docs.google.com/forms/d/e/1FAIpQLSddY_ZHd8aT-Ve8-4mp-PUZQFLcSaGX4Hi2FNw-xp4K4qiiTQ/viewform2. Shu Wang (wechat wxid_2d6mmb0tt6ci11) <img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz_png/4YZEqqibyibyXoBygVl0QmWWA2icTruQdoY0SuJwkqvAdwr5W72NMp2Zh4CNvPgEiaKLbicbKUibYpTBuL7LrEa5picrg/0?wx_fmt=png" style="max-width:100%;" />  <img src="http://read.html5.qq.com/image?src=forum&q=5&r=0&imgflag=7&imageUrl=http://mmbiz.qpic.cn/mmbiz_jpg/4YZEqqibyibyXXXH7bzR86gXpE79okpMTv2JuajYu0BNcynKPiaGn3uR4uNNTr3KhU4TSH6tiafZSBxByOQBiaawO2A/0?wx_fmt=jpeg" style="max-width:100%;" /> <img src="" style="max-width:100%;" />