请问SAS教学比较强的学校和院系

<p>亲爱的我说只不过是心情愉快。</p><p>跟是谁没什么关系，呵呵</p>

<div class="quote"><b>以下是引用<i>wolfcrying</i>在2008-3-10 22:08:00的发言：</b><br/><p>谢谢这位朋友的建议，我招人很少考虑什么名校不名校，所以才希望大家给我多推荐一些SAS教学有特色的院系，目的就是做到不偏颇。我也不认为SAS有多重要。之所以提出这个问题，主要考虑以下一些因素：</p><p>1. 虽然数据挖掘听起来比较时髦，某种意义上，也解决统计学的某些难题，但统计理论是理解挖掘算法的一个很好的基础和起点。</p><p>2. SAS在挖掘项目中根本不起决定性作用，但是掌握SAS的话上手比较快，不用我再花半年时间培养大家做SAS程序员。另外，SAS的重要性体现在数据清洗阶段，而不是建模阶段。</p><p>3.成为数据挖掘高手是个很艰苦漫长的过程，本人要对此感兴趣，才能坚持做下来。</p><p>所以我希望招的人是聪明、勤奋、好学、谦虚，可以跟我谈潜力，但不要开口就跟我谈能力，</p><br/></div><p></p><p></p><p>我招人从来要看他的理论功底，而不是课堂成绩，一个人如果好学，他会直接去找学者问。中国的教学，大都是被动式的。</p><p>1、如果你认为数据挖掘只是统计的话，可就错了，起码我所见到的事实不是这样。经济、心理学家一大堆，还有数学的（经济应用方面多些）暂且不提医学，尤其是高一些的层次来讲。</p><p>2、SAS在挖掘项目中根本不起决定性作用---我倒不是完全反对，这话一点儿错都没有。可是为什么不直接用C去做呢？自己想想吧。另外，如果有人说半年就能培养个不错的sas分析师，我立马跟他合作开培训咨询公司！SAS是多么博大精深的东西。。。不少人搞了20年还没搞明白呢。（在国外programming的，不一定是程序员，大部分分析师也programming,只是到中国了，就搞得不跟IT搭边儿就不时尚。）SAS和R都只是工具，统计、数学、计算机也都只是工具。但是为什么重要，如果多跟国外的同行接触下，就明白了。相比之下，IBM的东西多垃圾也就知道了。“另外，SAS的重要性体现在数据清洗阶段，而不是建模阶段。”我想看完这句，我应该知道你根本就不会用sas了（没有贬低的意思，别误会）。如果你是项目负责人，我希望你一定要先自行修炼下，人力资源的话就无所谓了。</p><p>3、成为数据挖掘高手是个很艰苦漫长的过程，本人要对此感兴趣，才能坚持做下来。--其实做数据分析、建模、预测是很快乐的事情。想一想、你可以有机会知道别人不知道的事情、预见未来，Wow~~~</p>

[此贴子已经被作者于2008-3-11 21:32:49编辑过]

<p>看来这个话题开始有点走题了，我的本意不过是想了解下那些学校的SAS有特色，没想到引来这么多看法。不过也能看出大家的热情，也避免大家在数据挖掘领域走入误区。我就多说两句吧。</p><p>一 关于SAS本身</p><p>&nbsp;&nbsp;&nbsp;&nbsp; 我的观点是，既不能神化SAS，也不能矮化SAS。SAS仅是一个分析工具而已。我也多次说了，SAS和统计只是从事数据挖掘的一个起点，一个起点而不是终点。掌握SAS只能说你能节约一点时间而已。</p><p>&nbsp;&nbsp;&nbsp;&nbsp; SAS的重要性体现在数据清洗阶段，是因为SAS相对于其他软件产品而言，语法灵活，对大数据的处理效率非常高，因此，适于数据挖掘项目的数据清洗（注意，这和数据仓库的ETL过程又不一样了）。</p><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;而数据清洗完成之后，在整个项目周期和工作任务分配而言，进行建模是一件相对不那么费时费力的事情。当然，SAS的Enterprise Miner无疑是通用数据挖掘工具中最优秀的产品，但在行业解决方案里，也不尽然。比如在零售金融领域，FairIsaac的Model Builder就比SAS更流行。在国内电信领域，很多的挖掘项目都是基于SPSS的Clementine做的。还有不少软件都可以与SAS在不同的领域里竞争，不一一列举。很多公司的做法是，用SAS做数据清洗工作，然后搭配自己熟悉的产品进行挖掘。你可以认为IBM 的Intelligence Miner有很多缺陷，Teredata的产品有多烂，但就企业的数据挖掘项目而言，哪个最方便哪个最有效，简单最美。</p><p>&nbsp;&nbsp;&nbsp;&nbsp; 因此，从整个数据挖掘项目周期的工作分配和资源投入来看，SAS的重要性体现在数据清洗阶段，而不是建模阶段，我是从这个角度发表意见。</p><p>二、关于SAS和数据挖掘</p><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 数据挖掘涉及很多内容，比如在ETL阶段到数据仓库的基础环境建设阶段，SAS根本就不能与IBM Data Stage以及Informatica的PowerCenter竞争。在OLAP展现方面，根本就不是Hyperon和Cagnos的对手。数据挖掘不只是建模，这些前期的准备工作，同样非常重要。SAS的长项在于它的灵活高效，处理效率高，但对于多任务调度与管理，尚不能称为一个产品</p><p>三、关于数据挖掘和建模</p><p>&nbsp;&nbsp;&nbsp; 大家不要把数据挖掘想象成不停的建模，不停地用数理统计和挖掘算法解决一堆复杂而艰深的问题，一个数据挖掘人员，每年估计至多两个月在直接从事建模工作，其余时间都是在不断地熟悉和理解业务规则，撰写各类项目文档上面。不要认为数据挖掘有多么美好，多么美妙，但是，为了这两个月的工作，一个优秀的模型师常常要为此做两到三年，甚至更长时间的知识储备，这对一个人的意志和决心来讲，不能不说是一个挑战。有志于从事数据挖掘的朋友，不仅要在知识和能力上，也要在心理上做好准备</p><p>四、关于SAS水平</p><p>&nbsp;&nbsp;&nbsp;&nbsp; 另外，我说的SAS程序员，从来没说是分析师或咨询顾问，我所提到的程序员也就是SAS认证2的水平。我说的是培养这样水平的一个程序员，需要半年时间。</p><p>&nbsp;&nbsp;&nbsp; 我个人的SAS水平就不多说了，因为我有几个月没写SAS程序了，有一个细节可以透露，我培养的下属凡跳槽者，都是被同行Double挖走的。</p><p>&nbsp;&nbsp; </p><p></p>

[此贴子已经被作者于2008-3-11 23:40:58编辑过]

<p></p><p>一 关于SAS本身</p><p>所以我问为什么不直接用c，matlab还号称是最快的呢。</p><p>SAS EM Sucks！你能告诉我哪些sas base做不出来的吗？Clementine，更是不是一个级别的。。。FairIsaac倒是很有竞争力。</p><p>“很多公司的做法是，用SAS做数据清洗工作，然后搭配自己熟悉的产品进行挖掘”这个有逻辑问题，不是因为sas不好而用其他的做挖掘，而是因为使用的人水平有限，才找借口说什么熟悉的产品。</p><p>“但就企业的数据挖掘项目而言，哪个最方便哪个最有效，简单最美。”这个我同意，但是，如果是这个假设的话，那什么是最有效？之所以国内都认为做的不错，是因为验证的人不怎么懂，以及竞争对手匮乏。如果说有效，那就是准确率啦，什么叫好呢?提升10%，还是20%，做不到的话就告诉人家只能这样，一看利润，的确有不少提高，好啦，数据挖掘成功啦！如果在发达点儿的地方（国外），提供咨询和分析师一大把，很容易就能比下去。国内呢？国企都在花纳税人的钱吧。就简单最美而言，我倒是见过不少为了优化代码减少运算提高效率而进行的优化、简化，倒是没有听过怎么省事儿怎么干的。</p><p>“因此，从整个数据挖掘项目周期的工作分配和资源投入来看，SAS的重要性体现在数据清洗阶段，而不是建模阶段”--恰恰与之相反，我了解的情况是，虽然数据清洗会占用时间，而且很重要，但是sas代码很快就可以搞定，相反，在建模方面为了选择合适的算法进行拟合并优化算法倒是很花时间。不知道为什么数据清洗那么慢，建模倒快的不得了，很是奇怪。</p><p><br/>二、关于SAS和数据挖掘</p><p>"但对于多任务调度与管理，尚不能称为一个产品"，你们没有买SAS BI sys吗？SAS应该不会放弃这个销售好机会的呀？你所说的所有东西sas都做得不错。这方面直接去问他们的技术和销售吧，介绍得比我清楚，应该了解下。</p><p>就效率而言，鉴于某种原因我曾经测试过，sas优秀些。DM这方面的工具和平台每年都会有排名，看看他们的排名你就会明白了。</p><p>三、关于数据挖掘和建模</p><p>你在混淆概念，进行数据挖掘和数据挖掘人员的工作是两个概念，你不能说搞科研的就必须一个劲儿的做实验吧。数据挖掘美不美好，美不美妙，这是个人感受问题，可能你是觉得很痛苦。对于知识储备和终身学习习惯，这是另一个问题，这里不提先。如果你喜欢跟对象一起，那你会考虑讨她欢心需要废多少精力，花多少钱吗？</p><p>四、关于SAS水平</p><p>SAS程序员，有两种：1、开发人员2、分析师。开发人员，计算机出身得比较好，我认识几个，都有20多年的sas经验，有两个还是silver member。对于分析师，其实到后来考验的并不是编程能力，而是实打实的理论底子，这一点基本都可以达成共识。</p><p>至于跳槽问题，凡是值得跳的，待遇都会好些。人力资源的问题，不见得是能力好的高薪，这是实际，为这个愤愤不平的，实打实阿菜。</p><p></p><p>最后，明确下，讨论只不过是为了交流，没有什么其他的意思：）思想碰撞总是好事。心情愉快。</p>

<p>SAS的重要性体现在数据清洗阶段，而不是建模阶段。<br/>我觉得ku对楼主的理解有误。楼主的意思是与其他软件相比，SAS的data manipulation和manage能力最强。这也是SAS为什么这么被广泛使用的原因（至少，在我从事的生物医药领域完全是SAS的天下）。</p><p>提醒一下楼主，据我所知，国内SAS教学比较好的还真是没有，我认识大部分SAS玩的还可以的都是自学的（也许我孤陋寡闻了）。</p><p>建议楼主去统计学院招人，SAS不一定非要非常熟练，统计好SAS也好的人在国内凤毛麟角。招一些人培养吧，公司的HR要好，能招到有潜力的人，更重要的是能留住人（貌似你们公司HR manager要换了^_^）！也算是为国内做点贡献，不然新人总进不来</p>

[此贴子已经被作者于2008-3-12 8:59:34编辑过]

<p>hehe,谢谢losttemple朋友的建议,我的本意就是如此,所以我想了解下哪些院系的教学有特色，都还不敢奢望很好。我的就是招些新人来培养。但由于做数据挖掘要掌握的东西太多，所以需要一个好的起点，起码自己要做好长期抗战的准备。</p><p>就拿本人来说吧，我自学SAS将近五年，我觉得一个好的交流环境和工作环境能人进步神速。如果所我现在的水平是80分，那么前三年我最多20分，后两年加入到我现在领导的这个团队，技巧和能力直线上升。</p><p>还有就是善意地提示kuhasu，不要轻信SALES或者Gartner的排名，我见过的Sales太多了。做BI的厂商都可以拿出各种排名说明90%的fortune客户是他们的客户，但是每个公司都只会买各产品最精华的部分，搭配进行使用。SAS在分析领域是绝对的王者，并不意味着它在数据挖掘整个链条的各环节都能称霸。</p><p>另外，对于企业来讲，衡量模型的好坏不能只看LIFT，KS，GINI，ROC等性能指标，更重要的是在性能满足要求的前提下模型能稳定运行。</p><p>很简单的一个问题，比如国内的各大银行，每天需要从几十个数据库系统里抽取上万张表，这样的ETL作业SAS行吗？在稳定性兼容性方面，SAS还有很长的路要走。</p><p>我跟这个坛里很多同志一样，是SAS的忠实FANS，爱护它的正确做法是理智看待它的优劣。尤其是讨论问题的时候，要基于事实，而不是推测，猜想。“应该”这个词更多地是用于建议，而不是论证</p>

<p>提到教材，真令人生气。一方面有用的太少，二方面错的不少，浪费人多少年华。这种情况包括SAS本身自带的那些例子。为了弄清问题，不得不连天累日的干。</p><p>SAS就是TMD破玩意，不虐待SAS对不起心血。我早晚要将SAS当成癞痢狗对待。</p>

[此贴子已经被作者于2008-3-12 13:02:00编辑过]

<p></p><p></p><div class="quote"><b>以下是引用<i>losttemple</i>在2008-3-12 8:46:00的发言：</b><br/><p>SAS的重要性体现在数据清洗阶段，而不是建模阶段。<br/>我觉得ku对楼主的理解有误。楼主的意思是与其他软件相比，SAS的data manipulation和manage能力最强。这也是SAS为什么这么被广泛使用的原因（至少，在我从事的生物医药领域完全是SAS的天下）。</p></div><p>数据挖掘、分析，数据清洗只是其中一个阶段，至于我为什么这么说，看这个presentation就知道了，不用我做的是因为省得再引起其他话题，诸如模型可行性、优化算法等，多的就不说了。如果能看得懂的话，应该不难明白。 197659.pdf (211.33 KB)

2008-3-12 14:01:00 上传

请问SAS教学比较强的学校和院系

</p><p></p><div class="quote"><b>以下是引用<i>wolfcrying</i>在2008-3-12 11:50:00的发言：</b><br/><p>还有就是善意地提示kuhasu，不要轻信SALES或者Gartner的排名，我见过的Sales太多了。做BI的厂商都可以拿出各种排名说明90%的fortune客户是他们的客户，但是每个公司都只会买各产品最精华的部分，搭配进行使用。SAS在分析领域是绝对的王者，并不意味着它在数据挖掘整个链条的各环节都能称霸。</p><p>另外，对于企业来讲，衡量模型的好坏不能只看LIFT，KS，GINI，ROC等性能指标，更重要的是在性能满足要求的前提下模型能稳定运行。</p><p>很简单的一个问题，比如国内的各大银行，每天需要从几十个数据库系统里抽取上万张表，这样的ETL作业SAS行吗？在稳定性兼容性方面，SAS还有很长的路要走。</p><p>我跟这个坛里很多同志一样，是SAS的忠实FANS，爱护它的正确做法是理智看待它的优劣。尤其是讨论问题的时候，要基于事实，而不是推测，猜想。“应该”这个词更多地是用于建议，而不是论证</p></div><p></p><p>SALES没人信。但是Gartner的有什么问题吗？BI的厂商都可以拿出各种排名说明--举例说明：）</p><p>SAS在分析领域是绝对的王者，并不意味着它在数据挖掘整个链条的各环节都能称霸。--这是一定的，sas不少组件的确很垃圾。在分析方面R倒是不错。举个例子，SVM在去年9月后的sas EM才出现，而且没有任何说明，原因是开发者退休了，没人接班。。。。</p><p>“另外，对于企业来讲，衡量模型的好坏不能只看LIFT，KS，GINI，ROC等性能指标，更重要的是在性能满足要求的前提下模型能稳定运行。”---概念不清，首先数据挖掘在建模的时候是要有test data来验证模型的稳定性的？防止过度拟合。你们不做吗？经过测试验证的最好准确度的，不就是最好性能和稳定的？除非你模型建的有问题。至于兼容性？话从何来？sas的模型包支持java,vb,c,有什么不兼容的？如果你指的是换了情况模型不准了，那绝对是建模的水平问题。</p><p>“很简单的一个问题，比如国内的各大银行，每天需要从几十个数据库系统里抽取上万张表，这样的ETL作业SAS行吗？”--首先，数据库抽取上万张表最大的前提是硬件以及你们选区的数据库产品。如果你说sas替代所有数据库，erp系统，那叫开玩笑。还有ETL方面，sas做的也还行，一个Data Integration Studio就可以解决各种各样形式的报表整合问题。至于报表样式，sas的建立的dashboard都是不错的，BPM和BI软件的结合比较好。至于bug的问题，引用晚安那老头一句话“Oracle发布的产品里面有超过10,000个bug。这太可怕了。”而实际上SAS和Oracle还是不错的搭档。</p><p>&nbsp;</p><p><img alt="" src="http://support.sas.com/kb/26/addl/fusion26113_1_grdash_dash6.gif" border="0"/></p><p>&nbsp;/* This example uses SAS/GRAPH software to generate a version of the marketing<br/>analysis dashboard described on p. 201 of&nbsp; "Information Dashboard Design"<br/>(Few, Stephen. 2006. Sebastopol, CA. O'Reilly Media, Inc.).&nbsp; */<br/><br/>/* Specify the name for the output file. */<br/>%let name=webMarketDash;<br/>filename odsout '.';<br/><br/>/* Set the background color for the dashboard. */<br/>%let backcolor=cxFFFFEb;<br/><br/>/* Set the colors for the background ranges in the bullet graphs. */<br/>%let bullet1=gray99;<br/>%let bullet2=graycc;<br/>%let bullet3=grayef;<br/><br/>/* Set the color for bars and legend in plot7 and plot12. */<br/>%let revenue_color=graybb;<br/><br/>/* Set the color for major titles and lines to split the dashboard into sections. */<br/>%let majorcolor=cx50A6C2; <br/><br/>/* Set the color for dark text and graphics and light text and graphics. */<br/>%let black=black;<br/>%let lighttext=gray88;<br/><br/>/* Define fonts for indicator and dashboard text. */<br/>%let ftext='swiss';<br/><br/>/* Define the location of the HTML page that supplies drill-down details <br/>&nbsp;&nbsp; for the indicator.&nbsp; If you don't have Internet access, you must put<br/>&nbsp;&nbsp; the target HTML file where your browser can access it, then change the <br/>&nbsp;&nbsp; following URL to point to your location. */<br/>%let hardcoded_drilldown=http://support.sas.com/rnd/datavisualization/dashboards/generic_drilldown.htm;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/><br/>/***************************************************************************/<br/>/* Create sample data sources for the dashboard indicators. */<br/><br/>/* Data for plot1 (MTD Compared to Target) */<br/>data data1;<br/>&nbsp;&nbsp; format value percentn6.0;<br/>&nbsp;&nbsp; input barname $ 1-10 value target;<br/>&nbsp;&nbsp; datalines;<br/>Visitors&nbsp;&nbsp; 0.90 0.75<br/>Orders&nbsp;&nbsp;&nbsp;&nbsp; 1.60 0.60<br/>;<br/>run;<br/><br/>/* Data for plot2 (Percent of Total Visitors Today) */<br/>data data2;<br/>&nbsp;&nbsp; format value percentn6.0;<br/>&nbsp;&nbsp; input barname $ 1-10 value target target2;<br/>&nbsp;&nbsp; datalines;<br/>Registered 0.55 0.30 0.50<br/>Repeat&nbsp;&nbsp;&nbsp;&nbsp; 0.90 0.60 0.80<br/>;<br/>run;<br/><br/>/* Data for plot3 (Visitors - Last 12 months) */<br/>data data3;<br/>&nbsp;&nbsp; format visitor_deviation percentn6.0;<br/>&nbsp;&nbsp; input year month visitor_deviation;<br/>&nbsp;&nbsp; datalines;<br/>2004&nbsp; 4 .30<br/>2004&nbsp; 5 .27<br/>2004&nbsp; 6 .34<br/>2004&nbsp; 7 .36<br/>2004&nbsp; 8 .32<br/>2004&nbsp; 9 .08<br/>2004 10 0<br/>2004 11 .09<br/>2004 12 .02<br/>2005&nbsp; 1 .05<br/>2005&nbsp; 2 .02<br/>2005&nbsp; 3 -.04<br/>;<br/>run;<br/><br/>/* Data for plot4 (Visitors - This month) */<br/>data data4;<br/>&nbsp;&nbsp; format visitor_deviation percentn6.0;<br/>&nbsp;&nbsp; input days visitor_deviation;<br/>&nbsp;&nbsp; datalines;<br/> 1&nbsp; .08<br/> 2 -.02<br/> 3 -.02<br/> 4&nbsp; .10<br/> 5&nbsp; .02<br/> 6&nbsp; .03<br/> 7&nbsp; .06<br/> 8 -.20<br/> 9 -.27<br/>10 -.30<br/>11&nbsp; .06<br/>12&nbsp; .02<br/>;<br/>run;<br/><br/>/* Data for plot5 (Visitors - Today) */<br/>data data5;<br/>&nbsp;&nbsp; format visitor_deviation percentn6.0;<br/>&nbsp;&nbsp; input hours visitor_deviation;<br/>&nbsp;&nbsp; datalines;<br/> 1&nbsp; .08<br/> 2 -.01<br/> 3&nbsp; .04<br/> 4 -.04<br/> 5&nbsp; .15<br/> 6&nbsp; .03<br/> 7&nbsp; .10<br/> 8&nbsp; .04<br/> 9 -.05<br/>10 -.08<br/>11 -.05<br/>12 -.02<br/>13 -.09<br/>14&nbsp; .02<br/>;<br/>run;<br/><br/>/* Data for plot6 (Products - Sparklines) */<br/>/* This sample uses full product names for simplicity. In a production <br/>&nbsp;&nbsp; environment, these would probably be stored by a product code number <br/>&nbsp;&nbsp; rather than having the full text of the product name with each line <br/>&nbsp;&nbsp; of data. */<br/>data data6;<br/>&nbsp;&nbsp; input product $ 1-40 timestamp percent_of_target;<br/>&nbsp;&nbsp; datalines;<br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 .60&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 .60&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 .50&nbsp;&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 .55&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 .55&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 .55&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 .55&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 .90&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 .65&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 .65&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 .70&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 .70&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 .80&nbsp;&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 1.00&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 1.03&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 1.10&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 1.25&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 1.30&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 1.40&nbsp;&nbsp; <br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 1.50&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.10&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 1.10&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.10&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.10&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.00&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.00&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.00&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.00&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 .90&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 .90&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 .90&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 .80&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 .85&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 .85&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 .90&nbsp;&nbsp; <br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 .90&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.00&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 1.00&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.00&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.00&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.00&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 .70&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 1.30&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 1.30&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 1.20&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 1.10&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 1.10&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 .95&nbsp;&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 .80&nbsp;&nbsp; <br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 .70&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.00&nbsp;&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.00&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 1.10&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 1.20&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 1.20&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 1.20&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 1.20&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 1.20&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 1.30&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 1.30&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 1.30&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 1.30&nbsp;&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 1.30&nbsp; <br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 1.30&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 0.90&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 0.90&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 0.90&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 0.80&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 0.80&nbsp;&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 0.90&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 0.90&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 0.90&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 0.95&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.00&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.00&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.05&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 1.05&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 1.10&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 1.20&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 1.30&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 1.40&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 1.50&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 1.60&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 1.40&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 1.20&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 1.00&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 0.95&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 0.90&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 0.85&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 0.80&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 0.80&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 0.75&nbsp;&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 0.75&nbsp; <br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 0.75&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 0.40&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 0.50&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 0.50&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 0.60&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 0.70&nbsp;&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 0.80&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 0.90&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 0.90&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 0.95&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.00&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.00&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.05&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 1.05&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 1.10&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 1.20&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 1.30&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 1.40&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 1.40&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 1.30&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 1.30&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 1.20&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 1.20&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 1.25&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 1.30&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 1.30&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 1.35&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 1.35&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 1.40&nbsp;&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 1.40&nbsp; <br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 1.45&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.10&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 1.08&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.05&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.02&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.01&nbsp;&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.00&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 0.95&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 0.95&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 0.90&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 0.80&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 0.60&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 0.65&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 0.55&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 0.50&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 0.40&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 0.40&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 0.30&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 0.30&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 0.20&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 0.20&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 0.30&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 0.30&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 0.45&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 0.40&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 0.50&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 0.55&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 0.65&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 0.70&nbsp;&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 0.80&nbsp; <br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 0.90&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 0.60&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 0.58&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 0.65&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 0.52&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 0.61&nbsp;&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 0.60&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 0.65&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 0.65&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 0.60&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 0.60&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 0.70&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 0.75&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 0.85&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 0.80&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 0.90&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 1.00&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 1.20&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 1.20&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 1.10&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 1.10&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 1.05&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 1.05&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 1.00&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 1.00&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 0.90&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 0.85&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 0.75&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 0.70&nbsp;&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 0.60&nbsp; <br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 0.60&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 .30&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 .30&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 .30&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 .35&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 .40&nbsp;&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 .40&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 .45&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 .55&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 .55&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 .50&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 .60&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 .60&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 .65&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 .70&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 .70&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 .85&nbsp;&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 1.00&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 1.05&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 1.10&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 1.20&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 1.30&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 1.30&nbsp;&nbsp; <br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 1.40&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 .30&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 .30&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 .30&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 .35&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 .40&nbsp;&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 .40&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 .40&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 .40&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 .40&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 .45&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 .50&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 .50&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13 .50&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14 .55&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 .55&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16 .55&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17 .55&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18 .60&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19 .65&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 .65&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21 .70&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22 .80&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23 .90&nbsp;&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 24 1.00&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25 1.03&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 26 1.10&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 27 1.25&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 28 1.30&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 29 1.35&nbsp;&nbsp; <br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30 1.40&nbsp;&nbsp; <br/>;<br/>run;<br/><br/>/* Data for plot7 (Products - Revenue and Viewed) */<br/>data data7;<br/>&nbsp;&nbsp; format revenue viewed percent5.0;<br/>&nbsp;&nbsp; input product $ 1-40 revenue viewed;<br/>&nbsp;&nbsp; datalines;<br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .113 .090<br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .100 .020<br/>Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .091 .060<br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .090 .080<br/>Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .078 .055<br/>Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .075 .018<br/>Men's Pants - Dress Cuffs -Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .072 .050<br/>Women's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .070 .075<br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .060 .140<br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .055 .020<br/>;<br/>run;<br/><br/>/* Data for plot8 (Top 10 - purchased together, but not displayed together) */<br/>data data8;<br/>&nbsp;&nbsp; input product1 $ 1-40 product2 $ 41-80 value;<br/>&nbsp;&nbsp; datalines;<br/>Shirt - Oxford - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Men's Pants - Chino - Tan&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .27<br/>Skirt - Pleated - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .24<br/>Skirt - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Blouse - Business Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .22<br/>Men's Pants - Dress - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .17<br/>Men's Pants - Chino - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shirt - Oxford - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .14<br/>Men's Pants - Dress w/ Cuffs - Blue&nbsp;&nbsp;&nbsp;&nbsp; Shirt - Fitted Dress - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .13<br/>Women's Pants - Dress - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Blouse - Business Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .12<br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shoes - Sandals - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .11<br/>Women's Pants - Chino - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Blouse - Business Casual - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .10<br/>Men's Pants - Outdoors - Brown&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shirt - Outdoors - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .10<br/>run;<br/><br/>/* Data for plot9 (Referral Sites - sparklines) */<br/>data data9;<br/>&nbsp;&nbsp; input product $ 1-40 timestamp percent_of_target;<br/>&nbsp;&nbsp; datalines;<br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 .60&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 .80&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.10&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.10&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.00&nbsp;&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 .90&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.00&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.40&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.35&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.45&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.60&nbsp;&nbsp;&nbsp; <br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.70&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.70&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 1.65&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.40&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.30&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.20&nbsp;&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.00&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.00&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.00&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 .70&nbsp;&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 .70&nbsp;&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 .60&nbsp;&nbsp;&nbsp; <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 .60&nbsp;&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 0.90&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 0.90&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.10&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.10&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.10&nbsp;&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.10&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.10&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.00&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 0.90&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 0.90&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.10&nbsp;&nbsp; <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 0.80&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 0.60&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 0.60&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.40&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.30&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.10&nbsp;&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 0.90&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.30&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.00&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.10&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.10&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.00&nbsp;&nbsp; <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 0.90&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 0.80&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 0.85&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 0.90&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.00&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.20&nbsp;&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.40&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.60&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.50&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.35&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.10&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 0.90&nbsp;&nbsp; <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 0.85&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.00&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 0.95&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.00&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.10&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.00&nbsp;&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.20&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.00&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.10&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.15&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.10&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.15&nbsp;&nbsp; <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.10&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.60&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 1.30&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.00&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 0.90&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 0.80&nbsp;&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 0.80&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 0.90&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 1.00&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.00&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 1.10&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.15&nbsp;&nbsp; <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.20&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 1.20&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 1.30&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.50&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 1.55&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.50&nbsp;&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 1.40&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 0.60&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 0.65&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 0.60&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 0.60&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 0.60&nbsp;&nbsp; <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 0.60&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 .30&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 .20&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 .30&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 .45&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 .50&nbsp;&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 .60&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 .60&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 .70&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 .80&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 .90&nbsp;&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.00&nbsp;&nbsp; <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 1.10&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1 .90&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 .80&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 1.10&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4 .60&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 1.00&nbsp;&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6 .60&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7 1.10&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 .50&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9 1.00&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10 .60&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11 1.20&nbsp;&nbsp;&nbsp; <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12 .70&nbsp;&nbsp;&nbsp; <br/>;<br/>run;<br/><br/>/* Data for plot10 (Referral Sites - table) */<br/>data data10;<br/>&nbsp;&nbsp; input product $ 1-40 referral_count referral_pct since_year_ago average_revenue;<br/>&nbsp;&nbsp; datalines;<br/>www.clothingconnection.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1103 .19 .57 72 <br/>www.getithere.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 782 .15 -.43 61 <br/>www.ellingswear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 688 .13 -.02 90 <br/>www.trimthebill.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 413 .08 0 32 <br/>www.looknofurther.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 330 .06 -.03 52 <br/>www.cheapstuff.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 301 .06 .26 19 <br/>www.bargainbasement.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 297 .06 -.06 29 <br/>www.dressforsuccess.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 239 .05 -.25 42 <br/>www.relaxwear.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 174 .03 .13 22 <br/>www.nobrainer.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 168 .03 -.05 10 <br/>;<br/>run;<br/><br/>/* Data for plot11 (Top 10 - displayed together, but rarely purchased together) */<br/>data data11;<br/>&nbsp;&nbsp; input product1 $ 1-40 product2 $ 41-80 value;<br/>&nbsp;&nbsp; datalines;<br/>Men's Pants - Dress - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shirt - Sport Tee - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .000<br/>Skirt - Pleated - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Women's Sweater - Casual - Brown&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .001<br/>Dress - Business Casual - Beige&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Blouse - Business Dress - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .010<br/>Women's Pants - Dress - Brown&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Blouse - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .011<br/>Dress - Summer Casual - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shoes - Pumps - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .012<br/>Men's Pants - Dress w/ Cuffs - Tan&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shirt - Fitted Dress - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .013<br/>Skirt - Dress - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Blouse - Business Casual - Black&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .020<br/>Dress - Formal - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shoes - Pumps - White&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .021<br/>Shirt - Fitted Dress - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Men's Pants - Jeans - Blue&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .030<br/>Shirt - Sport Tee - Brown&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Men's Pants - Jeans - Brown&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .031<br/>run;<br/><br/>/* Note: There is no data for plot12 or plot13.&nbsp; <br/>&nbsp;&nbsp; Those elements are generated with annotated text. */<br/><br/>/***************************************************************************/<br/><br/>goptions device=gif;<br/>goptions cback=&amp;backcolor;<br/>goptions noborder;<br/><br/>/* Delete all GRSEGs in the current session to ensure that indicators use<br/>the expected names.&nbsp; If a name is already in use, then an attempt to create<br/>a new GRSEG using that name it will add a number to the name.&nbsp; In that case, <br/>the subsequent GREPLAY will be placing the wrong GRSEGs into the dashboard.<br/><br/>Note: The macro code just checks whether there are any gsegs to delete.&nbsp; If <br/>it tried to delete specific entries and none existed, then you would get an<br/>error message: "ERROR: Member-name GSEG is unknown." */<br/><br/>%macro delcat(catname);<br/> %if %sysfunc(cexist(&amp;catname)) %then %do;<br/>&nbsp; proc greplay nofs igout=&amp;catname;<br/>&nbsp; delete _all_;<br/>&nbsp; run;<br/> %end;<br/> quit;<br/>%mend delcat;<br/>%delcat(work.gseg);<br/><br/>/**************************************************************************/<br/>/* Create the individual indicators. */<br/><br/>/* Set the NODISPLAY option to save the plots as GRSEGS <br/>&nbsp;&nbsp; without writing them to the output. */<br/>goptions nodisplay;<br/><br/><br/>/* plot1 (MTD Compared to Target) -----------------------------------------*/<br/>/* Set up the 'chart tip' and drill-down using the variable named HTML so that it can<br/>&nbsp;&nbsp; also be used as the chart tip and drill-down for the annotate as well. (The variable<br/>&nbsp;&nbsp; could be named anything for use in the chart, but it must be named HTML to use it <br/>&nbsp;&nbsp; in annotate.) */<br/>data data1; set data1;<br/>&nbsp;&nbsp; length&nbsp; html $400;<br/>&nbsp;&nbsp; html=<br/>&nbsp;&nbsp;&nbsp; 'title='||quote( trim(left(barname))||': '||trim(left(put(value,percentn6.0))) )<br/>&nbsp;&nbsp;&nbsp;&nbsp; ||' '||<br/>&nbsp;&nbsp;&nbsp; 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>run;<br/><br/>/* Annotating the bullet graph shading behind the bars. */<br/>data plot1_anno; set data1;<br/>&nbsp;&nbsp; length function $8 color $12 style $20;<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* Annotate the shading 'behind/before' the black bars. */<br/>&nbsp;&nbsp; when='b';<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* First, draw the left-most shaded area behind the bullet graph. <br/>&nbsp;&nbsp;&nbsp;&nbsp; Draw a bar/box from the beginning/zero of the bar, to the target<br/>&nbsp;&nbsp;&nbsp;&nbsp; value for the bar (the top/right corner of this bar/box will be<br/>&nbsp;&nbsp;&nbsp;&nbsp; 30% up in the y-direction - this is 2*15%).&nbsp; Move to the middle <br/>&nbsp;&nbsp;&nbsp;&nbsp; of the beginning of each bar. */<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; xsys='2'; x=0;<br/>&nbsp;&nbsp; ysys='2'; midpoint=barname;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; /* Move in y-direction 15% below bar center, drawing out a box/bar */<br/>&nbsp;&nbsp; ysys='7'; y=-15;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='bar'; style='solid'; line=0; color="&amp;bullet1"; y=+30; x=target;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* Next, draw the right-most shaded area behind the bullet graph. <br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Move to the middle of the target value of each bar */<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; xsys='2'; x=target;<br/>&nbsp;&nbsp; ysys='2'; midpoint=barname;<br/>&nbsp;&nbsp; output;<br/><br/>&nbsp;&nbsp; /* Move in y-direction 15% below bar center, drawing out a box/bar */<br/>&nbsp;&nbsp; ysys='7'; y=-15;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='bar'; style='solid'; line=0; color="&amp;bullet2"; y=+30; xsys='1'; x=100;<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>goptions xpixels=275 ypixels=100; <br/>goptions gunit=pct htitle=15 htext=13 ftitle=&amp;ftext ftext=&amp;ftext ctext=&amp;lighttext;<br/><br/>axis1 color=&amp;lighttext label=none value=(justify=right) offset=(16,16) style=0;<br/>axis2 color=&amp;lighttext order=(0 to 2.00 by .50) minor=none label=none offset=(0,0);<br/><br/>title1 j=l c=&amp;lighttext "&nbsp;&nbsp;&nbsp; MTD Compared to Target";<br/><br/>pattern1 v=s color=&amp;black;<br/><br/>/* Draw the horizontal bar chart, and annotate the bullet background shading */<br/>proc gchart data=data1 anno=plot1_anno;<br/>&nbsp;&nbsp; hbar barname / ascending<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; type=sum sumvar=value<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ref=1.00 cref=&amp;black<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; maxis=axis1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; raxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; space=7<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; width=3<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; nostats<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; html=html<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name="plot1"; <br/>run;<br/><br/>/* plot2 (Percent of Total Visitors Today) */<br/>/* Set up the 'chart tip' and drill-down using the variable named HTML so that it can<br/>&nbsp;&nbsp; also be used as the chart tip and drill-down for the annotate as well. (The variable<br/>&nbsp;&nbsp; could be named anything for use in the chart, but it must be named HTML to use it <br/>&nbsp;&nbsp; in annotate.) */<br/>data data2; set data2;<br/>&nbsp;&nbsp; length&nbsp; html $400;<br/>&nbsp;&nbsp; html='title='||quote( trim(left(barname))||': '||trim(left(put(value,percentn6.0))) )<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ||' '|| 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>run;<br/><br/>/* Annotate the bullet graph shading behind the bars. */<br/>data plot2_anno; set data2;<br/>&nbsp;&nbsp; length function $8 color $12 style $20;<br/><br/>&nbsp;&nbsp; /* Annotate the shading behind the black bars. */<br/>&nbsp;&nbsp; when='b';<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* First, draw the left-most shaded area behind the bullet graph. <br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Draw a bar/box from the beginning/zero of the bar, to the target<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; value for the bar (the top/right corner of this bar/box will be<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 30% up in the y-direction - this is 2*15%). */<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; xsys='2'; x=0;<br/>&nbsp;&nbsp; ysys='2'; midpoint=barname;<br/>&nbsp;&nbsp; output;<br/><br/>&nbsp;&nbsp; /* Move in y-direction 15% below bar center */<br/>&nbsp;&nbsp; ysys='7'; y=-15;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='bar'; style='solid'; line=0; color="&amp;bullet1"; y=+30; x=target;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* Similarly, draw the 2nd 1/3 of the bullet shading from the target<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; value to the extreme 100% right side of the graph. */<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; xsys='2'; x=target;<br/>&nbsp;&nbsp; ysys='2'; midpoint=barname;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; ysys='7'; y=-15;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='bar'; style='solid'; line=0; color="&amp;bullet2"; y=+30; x=target2;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* Similarly, draw the last 1/3 of the bullet shading from the target<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; value to the extreme 100% right side of the graph. */<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; xsys='2'; x=target2;<br/>&nbsp;&nbsp; ysys='2'; midpoint=barname;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; ysys='7'; y=-15;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='bar'; style='solid'; line=0; color="&amp;bullet3"; y=+30; xsys='1'; x=100;<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>goptions xpixels=275 ypixels=100; <br/>goptions gunit=pct htitle=15 htext=13 ftitle=&amp;ftext ftext=&amp;ftext ctext=&amp;lighttext;<br/><br/>axis1 color=&amp;lighttext label=none value=(justify=right) offset=(16,16) style=0;<br/>axis2 color=&amp;lighttext order=(0 to 1.00 by .25) minor=none label=none offset=(0,0);<br/><br/>title1 j=l c=&amp;lighttext "&nbsp;&nbsp;&nbsp; Percent of Total Visitors Today";<br/><br/>pattern1 v=s color=&amp;black;<br/><br/>proc gchart data=data2 anno=plot2_anno;<br/>&nbsp;&nbsp; hbar barname / ascending<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; type=sum sumvar=value<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; maxis=axis1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; raxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; space=7<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; width=3<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; nostats<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; html=html<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name='plot2'; <br/>run;<br/><br/>/* plot3 (Visitors - Last 12 months) */<br/>/* This sample uses numeric month to get the desired order, but a <br/>&nbsp;&nbsp; user-defined format is provided to get them to print as a two-character <br/>&nbsp;&nbsp; month abbreviation.&nbsp; (In this plot, there is not room for a longer <br/>&nbsp;&nbsp; month abbreviation.) */<br/>proc format;<br/>&nbsp;&nbsp; value month_fmt<br/>&nbsp;&nbsp; 1='Ja'<br/>&nbsp;&nbsp; 2='Fe'<br/>&nbsp;&nbsp; 3='Ma'<br/>&nbsp;&nbsp; 4='Ap'<br/>&nbsp;&nbsp; 5='My'<br/>&nbsp;&nbsp; 6='Jn'<br/>&nbsp;&nbsp; 7='Jl'<br/>&nbsp;&nbsp; 8='Au'<br/>&nbsp;&nbsp; 9='Se'<br/>&nbsp; 10='Oc'<br/>&nbsp; 11='No'<br/>&nbsp; 12='De'<br/>&nbsp; ;<br/>run;<br/><br/>/* Use the whole month name in the HTML chart tip, because there's room there. */<br/>proc format;<br/>&nbsp;&nbsp; value month_name<br/>&nbsp;&nbsp; 1='January'<br/>&nbsp;&nbsp; 2='February'<br/>&nbsp;&nbsp; 3='March'<br/>&nbsp;&nbsp; 4='April'<br/>&nbsp;&nbsp; 5='May'<br/>&nbsp;&nbsp; 6='June'<br/>&nbsp;&nbsp; 7='July'<br/>&nbsp;&nbsp; 8='August'<br/>&nbsp;&nbsp; 9='September'<br/>&nbsp; 10='October'<br/>&nbsp; 11='November'<br/>&nbsp; 12='December'<br/>&nbsp; ;<br/>run;<br/><br/>/* Becayse the GPLOT procedure in SAS/GRAPH software doesn't do <br/>&nbsp;&nbsp; grouped plots, results cannot be grouped by year without annotation. <br/>&nbsp;&nbsp; The year and month into are combined into a single variable, which is <br/>&nbsp;&nbsp; then used to annotate the axis tick mark labels.&nbsp; Also, by annotating <br/>&nbsp;&nbsp; the tick mark labels, chart tips can be added to them, which would not <br/>&nbsp;&nbsp; have been possible with regular tick mark values. */<br/>data data3; set data3;<br/>&nbsp;&nbsp; year_mon=trim(left(year))||'_'||trim(left(put(month,z2.)));<br/>run;<br/><br/>data data3; set data3;<br/>&nbsp;&nbsp; length&nbsp; html $400;<br/>&nbsp;&nbsp; html= 'title='||quote( trim(left(put(month,month_name.)))||', '||trim(left(year))||<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; '&nbsp; value='||trim(left(put(visitor_deviation,percentn6.0))) )<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ||' '|| 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>run;<br/><br/>/* Annotate gray area from bottom of graph to the zero line. */<br/>data plot3_anno1;<br/>&nbsp;&nbsp; length function $8 style $20;<br/>&nbsp;&nbsp; when='b';<br/>&nbsp;&nbsp; xsys='1'; ysys='1'; <br/>&nbsp;&nbsp; x=0; y=0;<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; xsys='1'; ysys='2'; <br/>&nbsp;&nbsp; x=100; y=0;<br/>&nbsp;&nbsp; function='bar'; style='solid'; color="grayf5";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/* Annotate the month and year labels along the axis. */<br/>data plot3_anno2;<br/>&nbsp;&nbsp; length function $8 style $20;<br/>&nbsp;&nbsp; length text $20;<br/>&nbsp;&nbsp; set data3; by year;<br/>&nbsp;&nbsp; when='a';<br/>&nbsp;&nbsp; color="&amp;lighttext";<br/>&nbsp;&nbsp; position='5';<br/>&nbsp;&nbsp; xsys='2'; ysys='3';<br/>&nbsp;&nbsp; xc=year_mon; y=15;<br/>&nbsp;&nbsp; text=put(month,month_fmt.);<br/>&nbsp;&nbsp; output;<br/>/* For the first/lowest month of each year, put an extra label along <br/> the axis to show the year. Suppress the chart tip on the label. */<br/>&nbsp;&nbsp; if first.year then do;<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; html='';<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; text='&nbsp;&nbsp; '||trim(left(year));<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; y=8;<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; end;<br/>run;<br/><br/>goptions xpixels=300 ypixels=200; <br/>goptions gunit=pct htitle=9 htext=5 ftitle=&amp;ftext ftext=&amp;ftext ctext=&amp;lighttext;<br/><br/>axis1 color=&amp;lighttext order=(-.1 to .4 by .1) minor=none label=none offset=(0,0);<br/>axis2 color=&amp;lighttext minor=none major=none value=none label=none offset=(2,2) style=0;<br/><br/>symbol v=dot h=3 i=join c=&amp;black w=.1;<br/><br/>title1 j=l c=&amp;majorcolor "Visitors";<br/>title2 j=l "Last 12 months' average daily visitors deviation";<br/>title3 j=l "relative to same month in the prior year";<br/>title4 a=-90 h=11 " ";<br/><br/>footnote1 h=10 " ";<br/><br/>proc gplot data=data3 anno=plot3_anno2;<br/>&nbsp;&nbsp; plot visitor_deviation*year_mon /<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vaxis=axis1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; haxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vref=0<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; anno=plot3_anno1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; html=html<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name='plot3'; <br/>run;<br/><br/>/* plot4 (Visitors - This month) */<br/><br/>/* Add a chart tip and drill-down to each plot marker. This serves double-duty <br/>&nbsp;&nbsp; and becomes the chart tip and drill-down for the annotated axis tick mark <br/>&nbsp;&nbsp; labels below each plot marker.&nbsp; Because this chart tip/drill-down is used <br/>&nbsp;&nbsp; in annotate, the variable must be named HTML. */<br/>data data4; set data4;<br/>&nbsp;&nbsp; length&nbsp; html $400;<br/>&nbsp;&nbsp; html=<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 'title='||quote( trim(left(days))||' days into month:&nbsp; value='||trim(left(put(visitor_deviation,percentn6.0))) )<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ||' '|| 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>run;<br/><br/>/* Annotate gray area from bottom of graph, to the zero line. */<br/>data plot4_anno1;<br/>&nbsp;&nbsp; length function $8 style $20;<br/>&nbsp;&nbsp; when='b';<br/>&nbsp;&nbsp; xsys='1'; ysys='1'; <br/>&nbsp;&nbsp; x=0; y=0;<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; xsys='1'; ysys='2'; <br/>&nbsp;&nbsp; x=100; y=0;<br/>&nbsp;&nbsp; function='bar'; style='solid'; color="grayf5";<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; /* Annotate a custom footnote. */<br/>&nbsp;&nbsp; when='a'; style="&amp;ftext"; color="&amp;lighttext"; hsys='3'; size=5;<br/>&nbsp;&nbsp; function='label'; xsys='1'; x=50; ysys='3'; y=8; position='5'; text='Days so far this month';<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/* Annotate the days labels along the axis. */<br/>data plot4_anno2;<br/>&nbsp;&nbsp; length function $8 style $20;<br/>&nbsp;&nbsp; length text $20;<br/>&nbsp;&nbsp; set data4; <br/>&nbsp;&nbsp; when='a';<br/>&nbsp;&nbsp; color="&amp;lighttext";<br/>&nbsp;&nbsp; position='5';<br/>&nbsp;&nbsp; xsys='2'; ysys='3';<br/>&nbsp;&nbsp; x=days; y=15;<br/>&nbsp;&nbsp; text=trim(left(days));<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>goptions xpixels=300 ypixels=200; <br/>goptions gunit=pct htitle=9 htext=5 ftitle=&amp;ftext ftext=&amp;ftext ctext=&amp;lighttext;<br/><br/>axis1 color=&amp;lighttext order=(-.4 to .2 by .1) minor=none label=none offset=(0,0) <br/>&nbsp;&nbsp; value=(t=5 '0%');<br/>axis2 color=&amp;lighttext minor=none major=none value=none label=none offset=(2,2) style=0;<br/><br/>symbol v=dot h=3 i=join c=&amp;black w=.1;<br/><br/>title1 j=l c=&amp;majorcolor " ";<br/>title2 j=l "This month's daily visitors deviation relative to";<br/>title3 j=l "13-week running average for the same weekday";<br/>title4 a=-90 h=11 " ";<br/><br/>footnote1 h=10 " ";<br/><br/>proc gplot data=data4 anno=plot4_anno2;<br/>&nbsp;&nbsp; plot visitor_deviation*days /<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vaxis=axis1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; haxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vref=0<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; anno=plot4_anno1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; html=html<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name='plot4'; <br/>run;<br/><br/><br/>/* plot5 (Visitors - Today)*/<br/><br/>/* Add a chart tip and drill-down to each plot marker. This serves double-duty <br/>&nbsp;&nbsp; and becomes the chart tip and drill-down for the annotated axis tick mark <br/>&nbsp;&nbsp; labels below each plot marker.&nbsp; Because this chart tip/drill-down is used <br/>&nbsp;&nbsp; in annotate, the variable must be named HTML. */<br/>data data5; set data5; <br/>&nbsp;&nbsp; length&nbsp; html $400;<br/>&nbsp;&nbsp; html=<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 'title='||quote( trim(left(hours))||' hours into today:&nbsp; value='||trim(left(put(visitor_deviation,percentn6.0))) )<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ||' '|| 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>run;<br/><br/>/* Annotate gray area from bottom of graph, to the zero line. */<br/>data plot5_anno1;<br/>&nbsp;&nbsp; length function $8 style $20;<br/>&nbsp;&nbsp; when='b';<br/>&nbsp;&nbsp; xsys='1'; ysys='1'; <br/>&nbsp;&nbsp; x=0; y=0;<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; xsys='1'; ysys='2'; <br/>&nbsp;&nbsp; x=100; y=0;<br/>&nbsp;&nbsp; function='bar'; style='solid'; color="grayf5";<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; /* Annotate a custom footnote. */<br/>&nbsp;&nbsp; when='a'; style="&amp;ftext"; color="&amp;lighttext";<br/>&nbsp;&nbsp; function='label'; xsys='1'; x=50; ysys='3'; y=8; position='5'; text='Hours so far today';<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/* Annotate the hours labels along the axis */<br/>data plot5_anno2;<br/>&nbsp;&nbsp; length function $8 style $20;<br/>&nbsp;&nbsp; length text $20;<br/>&nbsp;&nbsp; set data5; <br/>&nbsp;&nbsp; when='a';<br/>&nbsp;&nbsp; color="&amp;lighttext";<br/>&nbsp;&nbsp; position='5';<br/>&nbsp;&nbsp; xsys='2'; ysys='3';<br/>&nbsp;&nbsp; x=hours; y=15;<br/>&nbsp;&nbsp; text=trim(left(hours));<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>goptions xpixels=300 ypixels=200; <br/>goptions gunit=pct htitle=9 htext=5 ftitle=&amp;ftext ftext=&amp;ftext ctext=&amp;lighttext;<br/><br/>axis1 color=&amp;lighttext order=(-.4 to .2 by .1) minor=none label=none offset=(0,0) <br/>&nbsp;&nbsp; value=(t=5 '0%');<br/>axis2 color=&amp;lighttext minor=none major=none value=none label=none offset=(2,2) style=0;<br/><br/>symbol v=dot h=3 i=join c=&amp;black w=.1;<br/><br/>title1 j=l c=&amp;majorcolor " ";<br/>title2 j=l "Today's hourly visitors deviation relative to";<br/>title3 j=l "13-week running average for the same hour";<br/>title4 a=-90 h=11 " ";<br/><br/>footnote1 h=10 " ";<br/><br/>proc gplot data=data5 anno=plot5_anno2;<br/>&nbsp;&nbsp; plot visitor_deviation*hours /<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vaxis=axis1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; haxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vref=0<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; anno=plot5_anno1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; html=html<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name='plot5'; <br/>run;<br/><br/>/* plot7 (Products - Revenue and Viewed) */<br/><br/>/* plot7 is created before plot6, because the transformed data7 <br/>&nbsp; is used to create plot6. */<br/><br/>data data7; set data7;<br/>&nbsp;&nbsp; length&nbsp; myhtml $400;<br/>&nbsp;&nbsp; myhtml= 'title='||quote( trim(left(product))||'0D'x<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ||'Revenue='||trim(left(put(revenue,percentn6.0)))||'0D'x<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ||'Viewed='||trim(left(put(viewed,percentn6.0))) )<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ||' '|| 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>run;<br/><br/>proc sort data=data7 out=data7;<br/>&nbsp; by descending revenue product;<br/>run;<br/><br/>data data7; set data7;<br/>&nbsp;&nbsp; sortorder=_n_;<br/>run;<br/><br/>data plot7_anno;<br/>&nbsp;&nbsp; set data7;<br/>&nbsp;&nbsp; when='a';<br/>&nbsp;&nbsp; /* Move to the appropriate x-position in the middle of the bar. */<br/>&nbsp;&nbsp; function='move';<br/>&nbsp;&nbsp; xsys='2'; x=viewed;<br/>&nbsp;&nbsp; ysys='2'; midpoint=product;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; /* Move in y-direction 5% below bar center. */<br/>&nbsp;&nbsp; ysys='7'; y=-3;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; /* Draw a line in y-direction 5% above bar center. */<br/>&nbsp;&nbsp; function='draw'; line=1; size=6.0; color="&amp;black"; y=+6;<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/* Note: Care is required to get the bar chart in the same order as the <br/>&nbsp;&nbsp; sparklines.&nbsp; The bar chart is in descending order, with the bars sorted <br/>&nbsp;&nbsp; from highest-to-lowest by bar length (and, if there's a tie, it goes <br/>&nbsp;&nbsp; alphabetical).&nbsp; The bar chart does this automatically, but the data is<br/>&nbsp;&nbsp; also manually sorted to get the order to merge with the sparkline data <br/>&nbsp;&nbsp; to achieve the same order.&nbsp; If you don't do this carefully, you can get <br/>&nbsp;&nbsp; sparklines lining up with the wrong bars. */<br/>goptions xpixels=565 ypixels=300; <br/>goptions gunit=pct ftitle=&amp;ftext ftext=&amp;ftext htitle=9 htext=4.9 ctext=&amp;black;<br/><br/>title1 j=l h=15 " ";<br/><br/>footnote h=3 " ";<br/><br/>axis1 color=&amp;lighttext label=none value=(color=&amp;black);<br/>axis2 color=&amp;lighttext order=(0 to .16 by .04) minor=none label=none;<br/><br/>pattern1 v=s c=&amp;revenue_color;<br/><br/>proc gchart data=data7 anno=plot7_anno;<br/>&nbsp;&nbsp; hbar product / descending<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; type=sum<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; sumvar=revenue<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; sumlabel=none&nbsp; /* doesn't work? had to use label=none in axis stmt */<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; nostats<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; maxis=axis1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; raxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; space=1.5<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; html=myhtml<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; des=""<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name="plot7";<br/>run;<br/><br/>/* plot6 (Products - Sparklines) */<br/>/* These are the sparklines to the left of the bar chart. "Sparkline" <br/>&nbsp;&nbsp; graphs are challenging to create with SAS/GRAPH software.&nbsp; This example<br/>&nbsp;&nbsp; uses the GPLOT procedure, and for each line an offset is<br/>&nbsp;&nbsp; added so that the lines are plotted aboveor below each other, rather <br/>&nbsp;&nbsp; than on top of each other. */<br/><br/>/* y-axis is done with 'vreverse', so the lowest number is at the top.<br/>1 = Skirt - Business Casual - Black<br/>...<br/>10 = Dress - Summer Casual - White <br/>*/<br/><br/>/* Merge in the order from the bar chart data7.&nbsp; It is important to get the same <br/>&nbsp;&nbsp; order, so that the sparklines will line up with the bars. */<br/>proc sql noprint;<br/>&nbsp;&nbsp; create table data6 as<br/>&nbsp;&nbsp; select data6.*, data7.sortorder<br/>&nbsp;&nbsp; from data6 left join data7<br/>&nbsp;&nbsp; on data6.product = data7.product<br/>&nbsp;&nbsp; order by product, timestamp;<br/>quit;&nbsp;&nbsp;&nbsp;&nbsp; <br/><br/>/* This plot uses vreverse, so this equation is the<br/>&nbsp;&nbsp; reverse of how you might perceive it at first glance. */<br/>data data6; set data6;<br/>&nbsp;&nbsp; y=(2*(sortorder))+(1.00 - percent_of_target);<br/>run;<br/><br/>/* Annotate invisible drill-down covering entire graph area (because<br/>you can't do drill-downs on plot lines without markers. */<br/>data plot6_anno;<br/>&nbsp;&nbsp; length function $8 color style $20;<br/>&nbsp;&nbsp; xsys='1'; ysys='1'; <br/>&nbsp;&nbsp; x=0; y=0; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; html='title="drilldown"' ||' '|| <br/>&nbsp;&nbsp;&nbsp; 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>&nbsp;&nbsp; x=100; y=100; function='bar'; style='empty'; when='b'; color="&amp;backcolor";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/><br/>goptions xpixels=200 ypixels=300; <br/>goptions gunit=pct ftitle=&amp;ftext ftext=&amp;ftext htitle=9 htext=6.3;<br/><br/>axis1 label=none order=(0 to 22 by 2) value=none major=none minor=none style=0;<br/>axis2 label=(' ') order=(1 to 30 by 2) value=none major=none minor=none style=0;<br/><br/>symbol v=none i=join width=.1 c=&amp;black repeat=100;<br/><br/>title1 j=l c=&amp;majorcolor "Products";<br/>title2 h=2.0 " ";<br/>title3 a=90 h=4 " ";<br/>title4 a=-90 h=4 " ";<br/><br/>footnote;<br/><br/>proc gplot data=data6 anno=plot6_anno;<br/>&nbsp;&nbsp; plot y*timestamp=product / <br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vaxis=axis1 vreverse<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; haxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vref= 2 4 6 8 10 12 14 16 18 20<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; cvref=&amp;lighttext<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; nolegend<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; des=""<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name="plot6";<br/>run;<br/><br/>/* plot8 (Top 10 - purchased together, but not displayed together) */<br/><br/>/* Note: This "Top 10" table is complex.&nbsp; Because this sample uses the <br/>&nbsp;&nbsp; GREPLAY procedure to place the indicator in the dashboard, typical<br/>&nbsp;&nbsp; reporting procedures like PRINT or TABLATE cannot be used because <br/>&nbsp;&nbsp; they produce text output.&nbsp; This sample uses the Annotate facility in <br/>&nbsp;&nbsp; SAS/GRAPH software to create a graphical slide with the table text <br/>&nbsp;&nbsp; in the desired positions. Using this approach, the spacing of the <br/>&nbsp;&nbsp; table items must be adjusted manually.&nbsp; If you change the number of<br/>&nbsp;&nbsp; items in the table, you must change the offsets or increments for the<br/>&nbsp;&nbsp; annotated positions of the text). */<br/><br/>proc sort data=data8 out=data8;<br/>&nbsp;&nbsp; by descending value;<br/>run;<br/><br/>data data8; set data8;<br/>&nbsp;&nbsp; n=_n_;<br/>run;<br/><br/>proc sql noprint;<br/>&nbsp;&nbsp; select unique count(*) format=comma2.0 into :count7 from data8;<br/>quit;<br/>run;<br/><br/>%let min_y=1;<br/>%let max_y=76;<br/><br/>data plot8_anno;<br/>&nbsp;&nbsp; set data8;<br/>&nbsp;&nbsp; length style $20 color $ 12 function $ 8 text $ 100;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; hsys='3'; style="&amp;ftext"; color="&amp;black";<br/>&nbsp;&nbsp; y=&amp;max_y-(n-1)*((&amp;max_y-&amp;min_y)/&amp;count7);<br/>&nbsp;&nbsp; x=10; position='4'; text=trim(left(put(value,percentn6.0)));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=14; position='6'; text=trim(left(product1));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=58; position='6'; text=trim(left(product2));<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>data plot8_annob; <br/>&nbsp;&nbsp; length style $20 color $ 12 function $ 8 text $ 100;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; hsys='3'; style="&amp;ftext"; color="&amp;lighttext";<br/>&nbsp;&nbsp; function='move'; x=5; y=&amp;max_y+5;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; x=100; size=.1;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='label'; size=.; <br/>&nbsp;&nbsp; y=&amp;max_y+10;<br/>&nbsp;&nbsp; color="&amp;black";<br/>&nbsp;&nbsp; x=10; position='4'; text='%';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=14; position='6'; text='Product 1';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=58; position='6'; text='Product 2';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; y=&amp;max_y+18; style="&amp;ftext"; size=5.5; color="&amp;lighttext";<br/>&nbsp;&nbsp; /* foofoo */<br/>&nbsp;&nbsp; x=5; position='6'; text="Top &amp;count7 products purchased together but not displayed together";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/* Annotate an invisible bar/box with drill-down link for the entire table. */<br/>data plot8_annoc;<br/>&nbsp;&nbsp; length function $8 color style $20;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; <br/>&nbsp;&nbsp; x=0; y=0; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; html='title="drilldown"' ||' '|| <br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>&nbsp;&nbsp; x=100; y=100; function='bar'; style='empty'; when='b'; color="&amp;backcolor";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>data plot8_anno;<br/>&nbsp;&nbsp; set plot8_anno plot8_annob plot8_annoc;<br/>run;<br/><br/>goptions gunit=pct htitle=10 htext=4.5 ftitle=&amp;ftext ftext=&amp;ftext ctext=&amp;lighttext;<br/>title; <br/>footnote;<br/>goptions xpixels=1400 ypixels=700; <br/>proc gslide des="" name="plot8" anno=plot8_anno;<br/>run;<br/><br/>/* plot10 (Referral Sites - table) */<br/><br/>proc sort data=data10 out=data10;<br/>&nbsp;&nbsp; by descending referral_count product;<br/>run;<br/><br/>data data10; set data10;<br/>&nbsp;&nbsp; sortorder=_n_;<br/>run;<br/><br/>data plot10_anno; set data10;<br/>&nbsp;&nbsp; length text $100 html $200;<br/>&nbsp;&nbsp; function='label'; when='a'; position='4';<br/>&nbsp;&nbsp; ysys='2'; midpoint=product;<br/>&nbsp;&nbsp; xsys='1'; <br/>&nbsp;&nbsp; x=16; text=trim(left(put(referral_count,comma8.0)));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=42; text=trim(left(put(referral_pct,percentn7.0)));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=70; text=trim(left(put(since_year_ago,percentn7.0))); <br/>&nbsp;&nbsp; if since_year_ago &gt; 0 then text='+'||trim(left(text));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=95; text=trim(left(average_revenue));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; /* Annotate an invisible label behind the bar labels for drill-down. */<br/>&nbsp;&nbsp; xsys="3"; when="b"; style="swiss"; position="6"; color="&amp;backcolor";<br/>&nbsp;&nbsp; html='title="'||trim(left(product))||'"'||' '||<br/>&nbsp;&nbsp;&nbsp; 'href="http://'||trim(left(product))||'"';<br/>&nbsp;&nbsp; x=1; text="XXXXXXXXXXXXXXXXXX";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/* Annotate an invisible drill-down covering entire graph area, just inside<br/>&nbsp;&nbsp; the axis area (where the annotated table is).&nbsp; Note that the Web site<br/>&nbsp;&nbsp; names, which are outside the axis, have their own separate drill-downs to the <br/>&nbsp;&nbsp; corresponding Web site. */<br/>data plot10_anno2;<br/>&nbsp;&nbsp; length function $8 color style $20;<br/>&nbsp;&nbsp; xsys='1'; ysys='1'; <br/>&nbsp;&nbsp; x=0; y=0; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; html='title="drilldown"' ||' '|| <br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>&nbsp;&nbsp; x=100; y=100; function='bar'; style='empty'; when='b'; color="&amp;backcolor";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/* Note: Care is required to get the bar chart in the same order as the <br/>&nbsp;&nbsp; sparklines.&nbsp; The bar chart is in descending order, with the bars sorted <br/>&nbsp;&nbsp; from highest-to-lowest by bar length (and, if there's a tie, it goes <br/>&nbsp;&nbsp; alphabetical).&nbsp; The bar chart does this automatically, but the data is<br/>&nbsp;&nbsp; also manually sorted to get the order to merge with the sparkline data <br/>&nbsp;&nbsp; to achieve the same order.&nbsp; If you don't do this carefully, you can get <br/>&nbsp;&nbsp; sparklines lining up with the wrong bars. */<br/>goptions xpixels=565 ypixels=325; <br/>goptions gunit=pct ftitle=&amp;ftext ftext=&amp;ftext htitle=10 htext=4.9 ctext=&amp;black;<br/><br/>title1 j=l h=15 " ";<br/><br/>footnote h=3 " ";<br/><br/>axis1 color=&amp;lighttext label=none value=(color=&amp;black) style=0;<br/>axis2 color=&amp;lighttext order=(0 to 2000 by 1000) major=none minor=none value=none label=none style=0;<br/><br/>/* Make the bars same color as background so they are invisible. */<br/>pattern1 v=s c=&amp;backcolor;<br/><br/>proc gchart data=data10 anno=plot10_anno;<br/>&nbsp;&nbsp; hbar product / descending<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; type=sum<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; sumvar=referral_count<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; sumlabel=none<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; nostats<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; maxis=axis1<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; raxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; space=1.5<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; anno=plot10_anno2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; des=""<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name="plot10";<br/>run;<br/><br/>/* plot9 (Referral Sites - sparklines) */<br/><br/>/* These are the sparklines to the left of the website names. <br/>&nbsp; "Sparkline" graphs are challenging to create with SAS/GRAPH software.<br/>&nbsp;&nbsp; This example uses the GPLOT procedure, and for each line an offset is<br/>&nbsp;&nbsp; added so that the lines are plotted aboveor below each other, rather <br/>&nbsp;&nbsp; than on top of each other. */<br/><br/>/* The y-axis is done with 'vreverse', so the lowest number is at the top.<br/>1 = www.clothingconnection.com<br/>...<br/>10 = www.nobrainer.com<br/>*/<br/><br/>/* Merge in the order from the bar chart data. It is important to get the <br/>&nbsp;&nbsp; same order, so the sparklines will line up with the bars. */<br/>proc sql noprint;<br/>&nbsp;&nbsp;&nbsp; create table data9 as<br/>&nbsp;&nbsp;&nbsp; select data9.*, data10.sortorder<br/>&nbsp;&nbsp;&nbsp; from data9 left join data10<br/>&nbsp;&nbsp;&nbsp; on data9.product = data10.product<br/>&nbsp;&nbsp;&nbsp; order by product, timestamp;<br/>quit;<br/>run;<br/><br/>/* Remember, the plot uses vreverse, so this equation is the<br/>&nbsp;&nbsp; reverse of how you might perceive it at first glance. */<br/>data data9; set data9;<br/>&nbsp;&nbsp; y=(2*(sortorder))+(1.00 - percent_of_target);<br/>run;<br/><br/>/* Annotate invisible drill-down covering entire graph area (because<br/>&nbsp;&nbsp; you can't do drill-downs on plot lines without markers). */<br/>data plot9_anno;<br/>&nbsp;&nbsp; length function $8 color style $20;<br/>&nbsp;&nbsp; xsys='1'; ysys='1'; <br/>&nbsp;&nbsp; x=0; y=0; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; html='title="drilldown"' ||' '|| <br/>&nbsp;&nbsp;&nbsp; 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>&nbsp;&nbsp; x=100; y=100; function='bar'; style='empty'; when='b'; color="&amp;backcolor";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>goptions xpixels=200 ypixels=300; <br/>goptions gunit=pct ftitle=&amp;ftext ftext=&amp;ftext htitle=9 htext=6.3;<br/><br/>axis1 label=none order=(0 to 22 by 2) value=none major=none minor=none style=0;<br/>axis2 label=none order=(1 to 12 by 2) value=none major=none minor=none style=0;<br/><br/>symbol v=none i=join width=.1 c=&amp;black repeat=100;<br/><br/>title1 j=l c=&amp;majorcolor "Referral Sites";<br/>title2 h=2 " ";<br/>title3 a=90 h=4 " ";<br/>title4 a=-90 h=4 " ";<br/><br/>footnote;<br/><br/>proc gplot data=data9 anno=plot9_anno;<br/>&nbsp;&nbsp; plot y*timestamp=product / <br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; noframe<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vaxis=axis1 vreverse<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; haxis=axis2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; vref= 2 4 6 8 10 12 14 16 18 20<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; cvref=&amp;lighttext<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; nolegend<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; des=""<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name="plot9";<br/>run;<br/><br/>/* plot11 (Top 10 table - displayed together, but rarely purchased) */<br/>/* Note: This "Top 10" table is complex.&nbsp; Because this sample uses the <br/>&nbsp;&nbsp; GREPLAY procedure to place the indicator in the dashboard, typical<br/>&nbsp;&nbsp; reporting procedures like PRINT or TABLATE cannot be used because <br/>&nbsp;&nbsp; they produce text output.&nbsp; This sample uses the Annotate facility in <br/>&nbsp;&nbsp; SAS/GRAPH software to create a graphical slide with the table text <br/>&nbsp;&nbsp; in the desired positions. Using this approach, the spacing of the <br/>&nbsp;&nbsp; table items must be adjusted manually.&nbsp; If you change the number of<br/>&nbsp;&nbsp; items in the table, you must change the offsets or increments for the<br/>&nbsp;&nbsp; annotated positions of the text). */<br/>proc sort data=data11 out=data11;<br/>&nbsp;&nbsp; by /* ascending */ value;<br/>run;<br/><br/>data data11; set data11;<br/>&nbsp;&nbsp; n=_n_;<br/>run;<br/><br/>proc sql noprint;<br/>&nbsp;&nbsp; select unique count(*) format=comma2.0 into :count7 from data11;<br/>quit;<br/>run;<br/><br/>data plot11_anno; set data11;<br/>&nbsp;&nbsp; length style $20 color $ 12 function $ 8 text $ 100;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; hsys='3'; style="&amp;ftext"; color="&amp;black";<br/>&nbsp;&nbsp; y=&amp;max_y-(n-1)*((&amp;max_y-&amp;min_y)/&amp;count7);<br/>&nbsp;&nbsp; x=10; position='4'; text=trim(left(put(value,percentn6.0)));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=14; position='6'; text=trim(left(product1));<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=58; position='6'; text=trim(left(product2));<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>data plot11_annob; <br/>&nbsp;&nbsp; length style $20 color $ 12 function $ 8 text $ 100;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; hsys='3'; style="&amp;ftext"; color="&amp;lighttext";<br/>&nbsp;&nbsp; function='move'; x=5; y=&amp;max_y+5;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; x=100; size=.1;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='label'; size=.; <br/>&nbsp;&nbsp; y=&amp;max_y+10;<br/>&nbsp;&nbsp; color="&amp;black";<br/>&nbsp;&nbsp; x=10; position='4'; text='%';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=14; position='6'; text='Product 1';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; x=58; position='6'; text='Product 2';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; y=&amp;max_y+18; style="&amp;ftext"; size=5.5; color="&amp;lighttext";<br/>&nbsp;&nbsp; x=5; position='6'; text="Top &amp;count7 products displayed together but rarely purchased together";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>/*&nbsp; Annotate an invisible bar/box, which has an html drilldown for the entire table. */<br/>data plot11_annoc;<br/>&nbsp;&nbsp; length function $8 color style $20;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; <br/>&nbsp;&nbsp; x=0; y=0; function='move';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; html='title="drilldown"' ||' '|| <br/>&nbsp;&nbsp;&nbsp; 'href="'||"&amp;hardcoded_drilldown"||'"';&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br/>&nbsp;&nbsp; x=100; y=100; function='bar'; style='empty'; when='b'; color="&amp;backcolor";<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>data plot11_anno; set plot11_anno plot11_annob plot11_annoc;<br/>run;<br/><br/>goptions gunit=pct htitle=10 htext=4.5 ftitle=&amp;ftext ftext=&amp;ftext ctext=&amp;lighttext;<br/><br/>title; <br/>footnote;<br/>goptions xpixels=1400 ypixels=700; <br/>proc gslide des="" name="plot11" anno=plot11_anno;<br/>run;<br/><br/>/* plot12 (Products - overall title) */<br/>data plot12_anno;<br/>&nbsp;&nbsp; length function $8 color style $20 text $100;<br/>&nbsp;&nbsp; length html $ 250;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; hsys='3'; when='a';<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; function='label'; position='6';<br/>&nbsp;&nbsp; color="&amp;black";<br/>&nbsp;&nbsp; y=86;<br/>&nbsp;&nbsp; x=2; text="Last 30 Days";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=27.5; text="Top 10 this Month by Revenue";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=60; text="Revenue %";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=80; text="Viewed %";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; x=72.5; style="marker"; text="U"; color="&amp;revenue_color";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=91; y=y+1.8; style="swissb"; text="I"; size=7; color="&amp;black";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; line=1; size=.2; color="&amp;lighttext";<br/>&nbsp;&nbsp; function='move'; x=2;&nbsp; y=80;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; x=98;<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>goptions xpixels=765 ypixels=300; <br/>goptions gunit=pct ftext=&amp;ftext htext=5.25;<br/><br/>title; <br/>footnote;<br/>proc gslide des="" name="plot12" anno=plot12_anno;<br/>run;<br/><br/>/* plot13 (Referral Sites - overall title) */<br/><br/>data plot13_anno;<br/>&nbsp;&nbsp; length function $8 color style $20 text $100;<br/>&nbsp;&nbsp; length html $ 250;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; hsys='3'; when='a';<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; function='label'; position='6';<br/>&nbsp;&nbsp; color="&amp;black";<br/>&nbsp;&nbsp; y=84;<br/>&nbsp;&nbsp; x=2; text="Last 12 Months";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=27.5; text="Top 10 Referrers this Month";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; position='4';<br/>&nbsp;&nbsp; x=63; text="Count";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=75; text="of Total";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=85.5; text="Yr Ago";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=98.5; text="Revenue $";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; y=y+6;<br/>&nbsp;&nbsp; x=63; text="Referral";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=75; text="Referral %";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=85.5; text="Since";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; x=98.5; text="Average";<br/>&nbsp;&nbsp; output; <br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; line=1; size=.2; color="&amp;lighttext";<br/>&nbsp;&nbsp; function='move'; x=2;&nbsp; y=77;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; x=98;<br/>&nbsp;&nbsp; output;<br/>run;<br/><br/>goptions xpixels=765 ypixels=300; <br/>goptions gunit=pct ftext=&amp;ftext htext=5.5;<br/><br/>title; <br/>footnote;<br/>proc gslide des="" name="plot13" anno=plot13_anno;<br/>run;<br/><br/>/* Create the main title slide for dashboard */<br/>data titlanno;<br/>&nbsp;&nbsp; length function $8 color style $20 text $100;<br/>&nbsp;&nbsp; length html $ 250;<br/>&nbsp;&nbsp; xsys='3'; ysys='3'; hsys='3'; when='a';<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* Annotate the main title at the top center of the dashboard. */<br/>&nbsp;&nbsp; function='label'; position='5';<br/>&nbsp;&nbsp; x=50; y=99.5; size=3.5; style="&amp;ftext"; color="&amp;majorcolor"; text='Web Marketing Dashboard';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; y=95.8; size=1.8; style="&amp;ftext"; color="&amp;lighttext"; text="Data as of 2:00 PM (PST), April 13, 2005";<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* Annotate the light green lines that group and separate the various parts of the dashboard. */<br/>&nbsp;&nbsp; line=1; size=.2; color="&amp;majorcolor";<br/>&nbsp;&nbsp; function='move'; x=0; y=90;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; x=100;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='move'; x=0; y=60;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; x=100;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='move'; x=0; y=30;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; x=55;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='draw'; y=0;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; /* Annotate a Help button that links to a page with information about<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; the dashboard. */<br/>&nbsp;&nbsp; html='title='||quote('Help')||' '||<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 'href="'||"&amp;hardcoded_drilldown"||'"';<br/>&nbsp;&nbsp; <br/>&nbsp;&nbsp; function='move'; x=48; y=91;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; function='bar'; line=0; size=.1; style='empty'; color="&amp;lighttext"; x=x+5; y=y+2.5;<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; html='';<br/>&nbsp;&nbsp; function='label'; color="&amp;lighttext"; style="&amp;ftext"; size=1.8; x=48+2.5; y=91+1.75; position='5'; text='Help';<br/>&nbsp;&nbsp; output;<br/>&nbsp;&nbsp; html='';<br/>run;<br/><br/>goptions xpixels=875 ypixels=685; <br/><br/>title; <br/>footnote;<br/>proc gslide des="" name="titles" anno=titlanno;<br/>run;<br/><br/>/***************************************************************************/<br/>/* Replay the individual indicators to create the dashboard. */<br/><br/>GOPTIONS DEVICE=gif;<br/>goptions xpixels=900 ypixels=700; <br/>goptions display;<br/>goptions border;<br/><br/>ODS LISTING CLOSE;<br/>ODS HTML path=odsout body="&amp;name..htm" (title="Web Marketing Dashboard") <br/> style=minimal gtitle gfootnote;<br/><br/>/* Create custom greplay template, with 13 areas for the plots (areas #1-#13),<br/>&nbsp;&nbsp; and one area for the title slide (area #0).<br/>*/<br/>proc greplay tc=tempcat nofs igout=work.gseg;<br/>&nbsp; tdef murder des='Murder'<br/><br/>&nbsp;&nbsp; 0/llx = 0&nbsp;&nbsp; lly =&nbsp; 0<br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 0&nbsp;&nbsp; uly =100<br/>&nbsp;&nbsp;&nbsp;&nbsp; urx =100&nbsp; ury =100<br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx =100&nbsp; lry =&nbsp; 0<br/><br/>&nbsp;&nbsp; 1/llx = 0&nbsp;&nbsp; lly =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 0&nbsp;&nbsp; uly =100<br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 25&nbsp; ury =100<br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 25&nbsp; lry =90 <br/><br/>&nbsp;&nbsp; 2/llx = 75&nbsp; lly =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 75&nbsp; uly =100<br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 100 ury =100<br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 100 lry =90 <br/><br/>&nbsp;&nbsp; 3/llx =&nbsp; 0&nbsp; lly =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx =&nbsp; 0&nbsp; uly =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 33&nbsp; ury =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 33&nbsp; lry =60 <br/><br/>&nbsp;&nbsp; 4/llx = 33&nbsp; lly =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 33&nbsp; uly =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 67&nbsp; ury =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 67&nbsp; lry =60 <br/><br/>&nbsp;&nbsp; 5/llx = 67&nbsp; lly =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 67&nbsp; uly =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 100 ury =90 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 100 lry =60 <br/><br/>&nbsp;&nbsp; 6/llx =&nbsp; 0&nbsp; lly =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx =&nbsp; 0&nbsp; uly =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 15&nbsp; ury =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 15&nbsp; lry =30 <br/><br/>&nbsp;&nbsp; 7/llx = 15&nbsp; lly =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 15&nbsp; uly =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 55&nbsp; ury =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 55&nbsp; lry =30 <br/><br/>&nbsp;&nbsp; 8/llx = 55&nbsp; lly =30<br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 55&nbsp; uly =60<br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 100 ury =60<br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 100 lry =30<br/><br/>&nbsp;&nbsp; 9/llx =&nbsp; 0&nbsp; lly =0 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx =&nbsp; 0&nbsp; uly =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 15&nbsp; ury =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 15&nbsp; lry =0 <br/><br/>&nbsp; 10/llx = 15&nbsp; lly =0 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 15&nbsp; uly =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 55&nbsp; ury =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 55&nbsp; lry =0 <br/><br/>&nbsp; 11/llx = 55&nbsp; lly =0<br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx = 55&nbsp; uly =30<br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 100 ury =30<br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 100 lry =0<br/><br/>/* area 12 encompases areas 6 and 7 */<br/><br/>&nbsp; 12/llx =&nbsp; 0&nbsp; lly =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx =&nbsp; 0&nbsp; uly =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 55&nbsp; ury =60 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 55&nbsp; lry =30 <br/><br/>/* area 13 encompases areas 9 and 10 */<br/><br/>&nbsp; 13/llx =&nbsp; 0&nbsp; lly =0 <br/>&nbsp;&nbsp;&nbsp;&nbsp; ulx =&nbsp; 0&nbsp; uly =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; urx = 55&nbsp; ury =30 <br/>&nbsp;&nbsp;&nbsp;&nbsp; lrx = 55&nbsp; lry =0 <br/>;<br/><br/>&nbsp;&nbsp; /* Replay the individual indicators and the title slide into the custom template. */<br/>&nbsp;&nbsp; template = murder;<br/>&nbsp;&nbsp; treplay<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0:titles<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1:plot1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2:plot2<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3:plot3&nbsp; 4:plot4&nbsp;&nbsp; 5:plot5<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6:plot6&nbsp; 7:plot7&nbsp;&nbsp; 8:plot8<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12:plot12<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9:plot9 10:plot10 11:plot11<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13:plot13<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; des=""<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; name="&amp;name";<br/>run;<br/>quit;<br/><br/>ODS HTML CLOSE;<br/>ODS LISTING;</p>

[此贴子已经被作者于2008-3-12 14:36:34编辑过]

<div class="quote"><b>以下是引用<i>wxq1638</i>在2008-3-12 12:50:00的发言：</b><br/><p>提到教材，真令人生气。一方面有用的太少，二方面错的不少，浪费人多少年华。这种情况包括SAS本身自带的那些例子。为了弄清问题，不得不连天累日的干。</p><p>SAS就是TMD破玩意，不虐待SAS对不起心血。我早晚要将SAS当成癞痢狗对待。</p><br/></div><p></p><p>To <strong><em>wxq1638</em></strong>&nbsp; ,just read some English books.Lots of materials~</p>

<p>数据挖掘、分析，数据清洗只是其中一个阶段，至于我为什么这么说，看这个presentation就知道了，不用我做的是因为省得再引起其他话题，诸如模型可行性、优化算法等，多的就不说了。如果能看得懂的话，应该不难明白。点击浏览该文件</p><p><br/>深表赞同，这就是我为什么建议楼主去统计学院招人的原因。说实话，里面的zip和finite mixture，我也只是听过这个概念。</p><p>其实统计和sas相通的，统计和数学功底有利于培养较强的逻辑分析能力，这对sas编程是很有用的</p><p>&nbsp;</p><br/>

[此贴子已经被作者于2008-3-12 18:30:58编辑过]