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{"id":1183662,"type":0,"block_id":"lickstats_1369786954","theme_id":32,"user_id":411188,"path":"Spam-Filter-23028","title":"Spam Filter","pubtitle":"Spam Filter","tags":"","public":true,"publicAccess":true,"private_link_enabled":0,"thumb":"https://s3-eu-west-1.amazonaws.com/infogram-thumbs-200/lickstats_1369786954.jpg","width":550,"copyright":null,"properties":{"publishType":0,"transparent":false,"rtl":false,"export_settings":{"showGrid":true,"showValues":true},"whitelabel":false,"embed_button":"enabled","title_link":"infogram","custom_logo":"infogram","custom_link_url":"","embed_button_text":"Share","decimal_separator":".,"},"elements":[{"type":"particle","particle_id":15529948,"object_id":"814cca10-ea97-11e4-a037-7b5f270fdca9","particle_type":"maintitle","picture":null,"text":"Spam Filter","content_type":"","title":null,"shrink":null},{"type":"particle","particle_id":1424622,"object_id":"lickstats_1369786954","particle_type":"quote","picture":null,"text":"Lick-Wilmerding Faculty","content_type":"","title":"Lick-Wilmerding's faculty spam information.","shrink":null},{"type":"particle","particle_id":1469834,"object_id":"lickstats1370121770","particle_type":"bodytext","picture":null,"text":"The following information was gathered through a database which all Lick-Wilmerding faculty e-mails are linked to. We gathered a convenience sample of the data base within a 10-hour period. We then went on to code the data how it was necessary","content_type":"","title":"","shrink":null},{"type":"particle","particle_id":1433468,"object_id":"lickstats1369843981","particle_type":"bodytitle","picture":null,"text":"Faculty Spam: Female/Male vs Here/Not Here","content_type":"","title":"","shrink":null},{"type":"chart","chart_id":1935496,"object_id":"lickstats_1369787111","chart_type_nr":25,"data":[[["","Here","Not Here"],["Female","13","2"],["Male","4","3"]]],"custom":{},"colors":["#ffc700","#000000","#e37900","#e4ba51","#e3b786","#825846","#59392a","#564c30","#897d6e","#627c82","#93af8a","#a0ba5e","#63ba5e","#5ebab2","#6596b7","#b477ba","#473057","#bc416e","#c896af"],"dimensions":[],"modifier":0,"sheetnames":[],"sheets_settings":[]},{"type":"particle","particle_id":1469858,"object_id":"lickstats1370122019","particle_type":"bodytext","picture":null,"text":"The following data was collected through a random sample of 30 e-mails. From there our group coded the data into the e-mails that belonged to faculty members, categorizing each as either male or female and whether or not they still worked here. From this sample we were able to see that females who still work at Lick receive more spam than the males who work at Lick. However, males who no longer work at Lick receive more spam than the females who no longer work at Lick.","content_type":"","title":"","shrink":null},{"type":"particle","particle_id":1433487,"object_id":"lickstats1369844066","particle_type":"maintitle","picture":null,"text":"Spam Categories","content_type":"","title":"","shrink":null},{"type":"chart","chart_id":1944061,"object_id":"lickstats_1369843581","chart_type_nr":1,"data":[[[],["Unknown","11"],["Other","8"],["Federal","11"]]],"custom":{},"colors":["#ff737c","#c5c5c5","#e37900","#e4ba51","#e3b786","#825846","#59392a","#564c30","#897d6e","#627c82","#93af8a","#a0ba5e","#63ba5e","#5ebab2","#6596b7","#b477ba","#473057","#bc416e","#c896af"],"dimensions":[],"modifier":0,"sheetnames":[],"sheets_settings":[]},{"type":"particle","particle_id":1433401,"object_id":"lickstats1369843715","particle_type":"bodytext","picture":null,"text":"We had a convenience sample of 998 spam e-mails collected by a data base within a 10 hour period. Through the convenience sample of 998 we were able to take a random sample of 30 to categorize the type of spam. Our null hypothesis was that the 3 categories of spam (federal, other, and unknown) were equal in the amount of spam they each received. Our alternative hypothesis was that the 3 categories were not equal. Through a Goodness of Fit test we were not able to reject our null hypothesis. As a result of a high p-value of .741 we fail to reject the null hypothesis in which all spam e-mail categories are equally likely to be received address. ","content_type":"","title":"","shrink":null},{"type":"particle","particle_id":1482916,"object_id":"lickstats1370272132","particle_type":"maintitle","picture":null,"text":"Scatterplot: Age vs Spam Frequency","content_type":"","title":"","shrink":null},{"type":"chart","chart_id":1980011,"object_id":"lickstats_1370149974","chart_type_nr":20,"data":[[["Age Group","Washed Frequency"],["40.5","40.5","2"],["58.0","58.0","3"],["40.5","40.5","3"],["40.5","40.5","3"],["40.5","40.5","3"],["40.5","40.5","3"],["26.5","26.5","3"],["40.5","40.5","3"],["40.5","40.5","4"],["40.5","40.5","4"],["26.5","26.5","4"],["40.5","40.5","4"],["40.5","40.5","4"],["40.5","40.5","4"],["40.5","40.5","4"],["40.5","40.5","4"],["40.5","40.5","5"],["58.0","58.0","5"],["68.0","68.0","5"],["40.5","40.5","5"],["40.5","40.5","5"],["58.0","58.0","5"],["40.5","40.5","5"],["40.5","40.5","6"],["40.5","40.5","6"],["40.5","40.5","6"],["58.0","58.0","6"],["40.5","40.5","7"],["40.5","40.5","7"],["58.0","58.0","7"],["26.5","26.5","7"],["40.5","40.5","7"],["40.5","40.5","8"],["40.5","40.5","8"],["58.0","58.0","8"],["40.5","40.5","8"],["58.0","58.0","8"],["58.0","58.0","9"],["40.5","40.5","10"],["40.5","40.5","11"],["58.0","58.0","12"],["58.0","58.0","13"],["40.5","40.5","13"],["40.5","40.5","13"],["58.0","58.0","16"],["40.5","40.5","23"]]],"custom":{"height":"324","xlabel":"Age Group","ylabel":"Washed Frequency"},"colors":["#e84f2c","#e31307","#e37900","#e4ba51","#e3b786","#825846","#59392a","#564c30","#897d6e","#627c82","#93af8a","#a0ba5e","#63ba5e","#5ebab2","#6596b7","#b477ba","#473057","#bc416e","#c896af"],"dimensions":[],"modifier":0,"sheetnames":[],"sheets_settings":[]},{"type":"particle","particle_id":1482867,"object_id":"lickstats1370271932","particle_type":"bodytext","picture":null,"text":"The graph above demonstrates the different spam received based on the age group. We categorized a random sample of 30 e-mails into age groups, eliminating those that did not belong to faculty at Lick. We categorized such groups by generation, beginning with the \"Silent Generation\" those who were born between 1925-1945 and ending with \"Generation Y\" which were born between 1980-2000. After placing each person under an age group we took the average of each age group: 26.5, 40.5, 58, and 68. Through this scatterplot it is evident that the age group that gets most spam are the ones who fall under the \"Generation X\" category, and it seems as though the older you get the more spam you receive. I would classify this graph as a weak moderate graph strength, with an exponential form, with a positive direction.","content_type":"","title":"","shrink":null}],"theme":{"createdAt":"2016-04-22T04:54:07.000Z","updatedAt":"2016-12-28T10:33:53.000Z","logoImages":[""],"charts":{"table":{"shapeFill":"e84f2c","headerColor":"#6f6f6f","cellColor":"#6f6f6f","headerBackground":"#eeeeee","cellBackground":"#ffffff"},"treemap":{"labels":{"name":{"fontFamily":"PT Sans Narrow","fontWeight":"700"},"value":{"fontFamily":"PT Sans Narrow"}}},"wordcloud":{"labels":{"fontFamily":"Arial","fontWeight":"700"}}},"color":{"bg":"#ffffff","text":"#000000","chart":{"bg":"transparent","text":"#7d7d7d"},"element":{"bg":"transparent","text":"#000000"}},"colorPresets":[],"localFonts":[],"font":{"common":{"fontFamily":"PT Sans 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rel=\"nofollow\">Create your own infographics</a></div>","embedIframe":"<iframe src=\"//e.infogr.am/Spam-Filter-23028?src=embed\" title=\"Spam Filter\" width=\"550\" height=\"\" scrolling=\"no\" frameborder=\"0\" style=\"border:none;\"></iframe><div style=\"padding:8px 0;font-family:Arial!important;font-size:13px!important;line-height:15px!important;text-align:center;border-top:1px solid #dadada;margin:0 30px\"><a href=\"https://infogr.am/Spam-Filter-23028\" style=\"color:#989898!important;text-decoration:none!important;\" target=\"_blank\" rel=\"nofollow\">Spam Filter</a><br><a href=\"https://infogr.am\" style=\"color:#989898!important;text-decoration:none!important;\" target=\"_blank\" rel=\"nofollow\">Create your own infographics</a></div>","embedWordpress":"[infogram id=\"Spam-Filter-23028\" prefix=\"qvH\" format=\"interactive\" title=\"Spam Filter\"]","embedWordpressImage":"[infogram id=\"Spam-Filter-23028\" prefix=\"DM3\" format=\"image\" title=\"Spam 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