ILFTS
2021-05-13
Yes back to travelling again
The Numbers Tell Us That Airline Passengers Are Coming Back<blockquote>这些数字告诉我们航空公司的乘客正在回来</blockquote>
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Avid numbers geeks also know that raw data should always be converted to associated cool charts.</p><p><blockquote>我们中的许多人都在跟踪运输安全管理局在新冠疫情期间提供的乘客数量的进展。狂热的数字极客也知道,原始数据应该总是转换成相关的酷图表。</blockquote></p><p> The first chart below displays the raw data. Because the TSA lists the most current day first, the chart reconstructs a chronological visualization for the same time periods January – December.</p><p><blockquote>下面的第一个图表显示了原始数据。因为TSA首先列出了最近的一天,所以该图表重建了1月至12月相同时间段的时间可视化。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/e783b4a3151e232f3ccd008993b1cc40\" tg-width=\"1160\" tg-height=\"840\"></p><p><blockquote></blockquote></p><p> Well aren’t those some squiggly lines? Because these are daily points, the lines show large amplitudes that correlate to high traffic (Fridays) and low traffic (Tuesdays). Let’s smooth out the lines using a rolling 7 day average to provide a better picture.</p><p><blockquote>那些不是一些弯曲的线条吗?因为这些是每日点,所以这些线显示了与高流量(周五)和低流量(周二)相关的大振幅。让我们使用7天滚动平均值来平滑这些线,以提供更好的图片。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/d15f02767609a91758657bfed97d7f53\" tg-width=\"1160\" tg-height=\"843\"></p><p><blockquote></blockquote></p><p> <b>Deriving Some Encouraging Conclusions</b></p><p><blockquote><b>得出一些令人鼓舞的结论</b></blockquote></p><p> The 7 day chart shows some interesting facts. The first part of 2020 on a rolling average basis, had approximately 5% increase in traffic over 2019 (grey line). The precipitous drop from February to April highlights the extent to which passenger traffic decreased. One could follow the 2020 line from right and then see the 2021 line in Blue to left as a continuation. Although 2021 began at less than 50 percent traffic compared to 2020, passenger counts have rapidly increased since January 2021.</p><p><blockquote>7天图显示了一些有趣的事实。按滚动平均计算,2020年上半年的客流量比2019年增长了约5%(灰线)。2月至4月的急剧下降凸显了客运量下降的程度。人们可以从右边沿着2020线,然后从左边看到蓝色的2021线作为延续。尽管与2020年相比,2021年开始的客运量不到50%,但自2021年1月以来,乘客数量迅速增加。</blockquote></p><p> <b>Playing the Percentages</b></p><p><blockquote><b>玩百分比</b></blockquote></p><p> Speaking of percentages, the chart below indicates the raw percentage differences and a smoothed 7 day average. Note that there are only 2 lines – the orange line is the difference between 2019 and 2020. The blue 2021 line shows the difference between 2019 and 2021.</p><p><blockquote>说到百分比,下图显示了原始百分比差异和平滑的7天平均值。请注意,只有两条线——橙色线是2019年和2020年的差异。蓝色的2021线显示了2019年和2021年的差异。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/e09a68784c938a26136f187eb845cd10\" tg-width=\"1160\" tg-height=\"848\"></p><p><blockquote></blockquote></p><p> <b>A What-If Scenario</b></p><p><blockquote><b>假设情景</b></blockquote></p><p> When trying to identify when normalcy will return, Here’s a “what if” scenario: What if passenger traffic grew by 5% year over year from 2019 to 2020 through 2021?</p><p><blockquote>当试图确定何时恢复正常时,这里有一个“如果”的场景:如果从2019年到2020年到2021年客运量同比增长5%会怎样?</blockquote></p><p> <img src=\"https://static.tigerbbs.com/5a77d6c7cb7145ed6def53a3f30f842b\" tg-width=\"1158\" tg-height=\"846\"></p><p><blockquote></blockquote></p><p> What would be the point in identifying where passenger traffic might be at 5% growth? That answer rests in the below graph that shows the approximate “lost passenger counts” due to pandemic.</p><p><blockquote>确定哪里的客运量可能增长5%有什么意义?答案就在下图中,它显示了由于疫情造成的大约“乘客损失数量”。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/fe3a1acab3507a1608c1ac4396e5126e\" tg-width=\"1160\" tg-height=\"847\"></p><p><blockquote></blockquote></p><p> <b>Some Bad/Good News</b></p><p><blockquote><b>一些坏消息/好消息</b></blockquote></p><p> In just over a year, roughly 600,000,000 passengers did not travel. But if the 2021 pace of passenger counts continues, by August we could surpass 2019. That would be great news for the aviation industry.</p><p><blockquote>在短短一年多的时间里,大约有6亿乘客没有出行。但如果2021年的乘客数量继续保持下去,到8月份我们可能会超过2019年。这对航空业来说将是个好消息。</blockquote></p><p></p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>The Numbers Tell Us That Airline Passengers Are Coming Back<blockquote>这些数字告诉我们航空公司的乘客正在回来</blockquote></title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 12.5px; color: #7E829C; margin: 0;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nThe Numbers Tell Us That Airline Passengers Are Coming Back<blockquote>这些数字告诉我们航空公司的乘客正在回来</blockquote>\n</h2>\n<h4 class=\"meta\">\n<p class=\"head\">\n<strong class=\"h-name small\">zerohedge</strong><span class=\"h-time small\">2021-05-13 18:02</span>\n</p>\n</h4>\n</header>\n<article>\n<p>Many of us AvGeeks are tracking the progress of the passenger counts supplied by theTransportation Security Administrationduring the COVID pandemic. Avid numbers geeks also know that raw data should always be converted to associated cool charts.</p><p><blockquote>我们中的许多人都在跟踪运输安全管理局在新冠疫情期间提供的乘客数量的进展。狂热的数字极客也知道,原始数据应该总是转换成相关的酷图表。</blockquote></p><p> The first chart below displays the raw data. Because the TSA lists the most current day first, the chart reconstructs a chronological visualization for the same time periods January – December.</p><p><blockquote>下面的第一个图表显示了原始数据。因为TSA首先列出了最近的一天,所以该图表重建了1月至12月相同时间段的时间可视化。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/e783b4a3151e232f3ccd008993b1cc40\" tg-width=\"1160\" tg-height=\"840\"></p><p><blockquote></blockquote></p><p> Well aren’t those some squiggly lines? Because these are daily points, the lines show large amplitudes that correlate to high traffic (Fridays) and low traffic (Tuesdays). Let’s smooth out the lines using a rolling 7 day average to provide a better picture.</p><p><blockquote>那些不是一些弯曲的线条吗?因为这些是每日点,所以这些线显示了与高流量(周五)和低流量(周二)相关的大振幅。让我们使用7天滚动平均值来平滑这些线,以提供更好的图片。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/d15f02767609a91758657bfed97d7f53\" tg-width=\"1160\" tg-height=\"843\"></p><p><blockquote></blockquote></p><p> <b>Deriving Some Encouraging Conclusions</b></p><p><blockquote><b>得出一些令人鼓舞的结论</b></blockquote></p><p> The 7 day chart shows some interesting facts. The first part of 2020 on a rolling average basis, had approximately 5% increase in traffic over 2019 (grey line). The precipitous drop from February to April highlights the extent to which passenger traffic decreased. One could follow the 2020 line from right and then see the 2021 line in Blue to left as a continuation. Although 2021 began at less than 50 percent traffic compared to 2020, passenger counts have rapidly increased since January 2021.</p><p><blockquote>7天图显示了一些有趣的事实。按滚动平均计算,2020年上半年的客流量比2019年增长了约5%(灰线)。2月至4月的急剧下降凸显了客运量下降的程度。人们可以从右边沿着2020线,然后从左边看到蓝色的2021线作为延续。尽管与2020年相比,2021年开始的客运量不到50%,但自2021年1月以来,乘客数量迅速增加。</blockquote></p><p> <b>Playing the Percentages</b></p><p><blockquote><b>玩百分比</b></blockquote></p><p> Speaking of percentages, the chart below indicates the raw percentage differences and a smoothed 7 day average. Note that there are only 2 lines – the orange line is the difference between 2019 and 2020. The blue 2021 line shows the difference between 2019 and 2021.</p><p><blockquote>说到百分比,下图显示了原始百分比差异和平滑的7天平均值。请注意,只有两条线——橙色线是2019年和2020年的差异。蓝色的2021线显示了2019年和2021年的差异。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/e09a68784c938a26136f187eb845cd10\" tg-width=\"1160\" tg-height=\"848\"></p><p><blockquote></blockquote></p><p> <b>A What-If Scenario</b></p><p><blockquote><b>假设情景</b></blockquote></p><p> When trying to identify when normalcy will return, Here’s a “what if” scenario: What if passenger traffic grew by 5% year over year from 2019 to 2020 through 2021?</p><p><blockquote>当试图确定何时恢复正常时,这里有一个“如果”的场景:如果从2019年到2020年到2021年客运量同比增长5%会怎样?</blockquote></p><p> <img src=\"https://static.tigerbbs.com/5a77d6c7cb7145ed6def53a3f30f842b\" tg-width=\"1158\" tg-height=\"846\"></p><p><blockquote></blockquote></p><p> What would be the point in identifying where passenger traffic might be at 5% growth? That answer rests in the below graph that shows the approximate “lost passenger counts” due to pandemic.</p><p><blockquote>确定哪里的客运量可能增长5%有什么意义?答案就在下图中,它显示了由于疫情造成的大约“乘客损失数量”。</blockquote></p><p> <img src=\"https://static.tigerbbs.com/fe3a1acab3507a1608c1ac4396e5126e\" tg-width=\"1160\" tg-height=\"847\"></p><p><blockquote></blockquote></p><p> <b>Some Bad/Good News</b></p><p><blockquote><b>一些坏消息/好消息</b></blockquote></p><p> In just over a year, roughly 600,000,000 passengers did not travel. But if the 2021 pace of passenger counts continues, by August we could surpass 2019. That would be great news for the aviation industry.</p><p><blockquote>在短短一年多的时间里,大约有6亿乘客没有出行。但如果2021年的乘客数量继续保持下去,到8月份我们可能会超过2019年。这对航空业来说将是个好消息。</blockquote></p><p></p>\n<div class=\"bt-text\">\n\n\n<p> 来源:<a href=\"https://www.zerohedge.com/economics/numbers-tell-us-airline-passengers-are-coming-back\">zerohedge</a></p>\n<p>为提升您的阅读体验,我们对本页面进行了排版优化</p>\n\n\n</div>\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://www.zerohedge.com/economics/numbers-tell-us-airline-passengers-are-coming-back","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1138019815","content_text":"Many of us AvGeeks are tracking the progress of the passenger counts supplied by theTransportation Security Administrationduring the COVID pandemic. Avid numbers geeks also know that raw data should always be converted to associated cool charts.\nThe first chart below displays the raw data. Because the TSA lists the most current day first, the chart reconstructs a chronological visualization for the same time periods January – December.\n\nWell aren’t those some squiggly lines? Because these are daily points, the lines show large amplitudes that correlate to high traffic (Fridays) and low traffic (Tuesdays). Let’s smooth out the lines using a rolling 7 day average to provide a better picture.\n\nDeriving Some Encouraging Conclusions\nThe 7 day chart shows some interesting facts. The first part of 2020 on a rolling average basis, had approximately 5% increase in traffic over 2019 (grey line). The precipitous drop from February to April highlights the extent to which passenger traffic decreased. One could follow the 2020 line from right and then see the 2021 line in Blue to left as a continuation. Although 2021 began at less than 50 percent traffic compared to 2020, passenger counts have rapidly increased since January 2021.\nPlaying the Percentages\nSpeaking of percentages, the chart below indicates the raw percentage differences and a smoothed 7 day average. Note that there are only 2 lines – the orange line is the difference between 2019 and 2020. The blue 2021 line shows the difference between 2019 and 2021.\n\nA What-If Scenario\nWhen trying to identify when normalcy will return, Here’s a “what if” scenario: What if passenger traffic grew by 5% year over year from 2019 to 2020 through 2021?\n\nWhat would be the point in identifying where passenger traffic might be at 5% growth? That answer rests in the below graph that shows the approximate “lost passenger counts” due to pandemic.\n\nSome Bad/Good News\nIn just over a year, roughly 600,000,000 passengers did not travel. But if the 2021 pace of passenger counts continues, by August we could surpass 2019. That would be great news for the aviation industry.","news_type":1,"symbols_score_info":{}},"isVote":1,"tweetType":1,"viewCount":714,"commentLimit":10,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"symbols":[],"verified":2,"subType":0,"readableState":1,"langContent":"EN","currentLanguage":"EN","warmUpFlag":false,"orderFlag":false,"shareable":true,"causeOfNotShareable":"","featuresForAnalytics":[],"commentAndTweetFlag":false,"andRepostAutoSelectedFlag":false,"upFlag":false,"length":24,"xxTargetLangEnum":"ORIG"},"commentList":[],"isCommentEnd":true,"isTiger":false,"isWeiXinMini":false,"url":"/m/post/191454363"}
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