{"id":3191,"date":"2017-04-18T19:38:10","date_gmt":"2017-04-19T00:38:10","guid":{"rendered":"http:\/\/commons.trincoll.edu\/amst-data-driven\/?p=3191"},"modified":"2017-04-18T19:38:10","modified_gmt":"2017-04-19T00:38:10","slug":"lab-5-energy","status":"publish","type":"post","link":"http:\/\/commons.trincoll.edu\/amst-data-driven\/2017\/04\/18\/lab-5-energy\/","title":{"rendered":"Lab 5 #energy"},"content":{"rendered":"

List of Languages: 26 different languages<\/p>\n

Arabic, Bulgarian, French Canadian, Danish, German, Greek, English, English Great Britain, English Australian, Spanish, French, Italian, Japanese, Korean, Dutch, Portuguese, Romanian, Russian, Slovak, Turkish, Ukrainian, Chinese, xx-ic, zh-cn, zh-tw, th.<\/p>\n

My total number of tweets in english are 70783. \u00a0I have 80969 tweets that I am analyzing means 87.4% of my tweets were tweeted in english.<\/p>\n

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Pie Chart:<\/p>\n

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#Energy is fascinating because it is a global issue and that is why I have people tweeting with #energy in 26 different languages. \u00a0I chose to examine English because it is the language I am fluent in and 88% of my entire data is tweeted in English. \u00a0I wanted to look at Arabic because that is where the majority of the worlds oil comes from so I wanted to see if people were tweeting about oil and fossil fuels. \u00a0Turns out not so much as Arabic was less than 1% of it, being 0.005%. \u00a0Ergo few people people are tweeting about #energy in arabic. \u00a0I wanted to look at French because it was the language I took with my language requirement at Trinity and wanted to see how much French data there was. \u00a0And all remaining other languages were 11%. \u00a0Telling me that the majority of the people in the world who are tweeting about #energy are tweeting and speaking in English.<\/p>\n

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Part III:<\/p>\n

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\"Screen<\/p>\n

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I did not end up calculating how many tweets were tweeted each day through out the entire semester. I examined my data and found that 69% of my data was accumulated during the first 11 days of February.\u00a0 I decided to graph these points and list their values because the majority of my data came in 11 days.\u00a0 I think the tweets rose because this was the time of Trumps Muslim ban and that puts a massive stress on oil and what is going on in the market.\u00a0 Also going back to my first post, there was a lot of talk of solar energy and new panels and wind mills going up all over the nation.\u00a0 This was a massive push in a green direction in the United States so #energy was a very hot hashtag.<\/p>\n

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On February first when there were 2967 tweets with #energy Sound Energy released that they had struck oil in Morocco and that there was a vast amount of wealth and oil found there that would in turn lower oil prices for local consumers.\u00a0 On February second, #energy was tweeted about 6,213 times, it was released that oil and gas drilling could cause earth quakes in the United States and are becoming a serious geological threats.\u00a0 On February 3, 2017 energy was tweeted about 6,071 times, it was released that Trump tossed Obama’s clean energy plan out the window.\u00a0 Trump’s decision to rid the government of that plan most likely is the reason for the spike in tweets this week. \u00a0\u00a0 February 4, 2017 #energy was tweeted about 4185 times, a lot came out about Trump’s motives to get rid of the clean energy initiative, a lot for and against what Trump did.\u00a0 On February 5 when energy was tweeted about 4,093 times a big country concert was announced at the Xcel Energy Center and more was written about Trump and the Paris Agreement.\u00a0 On February 6, 2017 #energy was tweeted about 6560 times, it was more Trump aftermath.\u00a0 On February 7 when #energy was tweeted about 5898 times no new news really came out more of the same about Trump and throwing away the green initiative.\u00a0 On February 8 #energy was tweeted about 6621 times Cheniere energy LP was initiated by Guggenheim which was a very big transaction in the #energy world.\u00a0 On February 9, energy was tweeted about 5456 times, it was more Trump and Guggenheim aftermath.\u00a0 On February 10, when it was tweeted about 6320 times nothing new happened.\u00a0 On February 11 Energy XXI hired a new CEO so that could have drowned out the Trump tweets as it was only tweeted about 1238 times.\u00a0 Then numbers then begin to go lower and lower. The spike in tweets was brought about clearly by Trump and his decision to throw out Obama’s green initiative.\u00a0 Twitter users like to tweet about Trump and Trump loves to tweet about himself.<\/p>\n

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Part IV:<\/p>\n

(Numbers from Feb 1 to Feb 11) Not complete data set.<\/p>\n

Average:\u00a0 5,056.5<\/p>\n

Median: 6560<\/p>\n

Mode: N\/A (Everything occurred once)<\/p>\n

Sum: 55,622 (total was 80,969 all semester, but for purpose to graphs and charting I focused on the 11 days above)<\/p>\n

MAX: 6,621<\/p>\n

MIN: 1,238<\/p>\n

Range: 5,383<\/p>\n

In comparison to the rest of the class my totals are higher than that of my class mates.\u00a0 My Mean and Median both rank 3rd highest in the class.\u00a0 I would not say that I am a stand out unless that top group is classified as a stand out.\u00a0 My hashtag encompasses the entire world it is not just a country or a continent that it affects it is a much larger issue and that is why my English percentage ranked among the lowest in the class.\u00a0 I think my hash tag is a stand out because it is a global issue #energy has to do with the planet not just one country.\u00a0 The max of my hashtag is in the top 5 in terms of times used in a day, but #energy can be set off in a variety of ways.\u00a0 It could take a company with energy in its name making an executive change or Trump throwing away a green planet plan.\u00a0 My hashtag is set off by an event it will spike and then it will level off into local energy issues then will scale back to depending on where oil drilling or solar energy is being implemented next.\u00a0 I also did look at a lot more tweets than the majority of my class mates and I think that gives me a bigger picture of what #energy looks like.\u00a0 What really stands out to me is how my hashtag depends on what is going on that day in the news.\u00a0 Trump making a decision gave me roughly 69% of my data. Because of what our President did it gave me a data set.\u00a0 I hypothesized that because it was such a large and broad hashtag that the times tweeted number would remain constant and fairly uniform.\u00a0 I was very wrong as #energy is used as a reaction to what is happening in the world.<\/p>\n","protected":false},"excerpt":{"rendered":"

List of Languages: 26 different languages Arabic, Bulgarian, French Canadian, Danish, German, Greek, English, English Great Britain, English Australian, Spanish, French, Italian, Japanese, Korean, Dutch, Portuguese, Romanian, Russian, Slovak, Turkish, Ukrainian, Chinese, xx-ic, zh-cn, zh-tw, th. My total number of tweets in english are 70783. \u00a0I have 80969 tweets that I am analyzing means 87.4%…<\/p>\n","protected":false},"author":1970,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3191"}],"collection":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/users\/1970"}],"replies":[{"embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/comments?post=3191"}],"version-history":[{"count":3,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3191\/revisions"}],"predecessor-version":[{"id":3413,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3191\/revisions\/3413"}],"wp:attachment":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/media?parent=3191"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/categories?post=3191"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/tags?post=3191"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}