{"id":3175,"date":"2017-04-12T08:56:12","date_gmt":"2017-04-12T13:56:12","guid":{"rendered":"http:\/\/commons.trincoll.edu\/amst-data-driven\/?p=3175"},"modified":"2017-04-12T12:27:43","modified_gmt":"2017-04-12T17:27:43","slug":"climatechange-stats-graphs","status":"publish","type":"post","link":"http:\/\/commons.trincoll.edu\/amst-data-driven\/2017\/04\/12\/climatechange-stats-graphs\/","title":{"rendered":"#climatechange Stats and Graphs"},"content":{"rendered":"

I am using ALL my Twitter data on #climatechange, which is 42,512 tweets. These data span across 35 languages: ar, ca, cs, da, de, en, en-gb, es, fa, fi, fr, gl, he, hr, hu, id, it, ja, ko, nl, no, pl, pt, ro, ru, sk, sr, sv, th, tr, uk, vi, zh-cn, and zh-tw. 37,651 of the tweets are in English, which is 88.57% of the tweets. I also was curious what other languages had a major share of the tweets, and found nothing very interesting. French and Spanish were not-surprisingly one of the larger shares as they are widely spoken languages, with 1.75% and 2.67%, respectively. A surprising language was Dutch, which only 0.32%<\/a> of the world speaks, yet it accounted for 0.60% of the tweets. This suggests Dutch speaking countries (Netherlands) are talking a lot about climate change. The Netherlands is a world leader in sustainable energy.<\/p>\n

\"Tweet<\/p>\n

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My tweets spanned from February 1 to February 7, 2017. Throughout these five days, I graphed the number of tweets by day, but was disappointed to find an inconclusive chart\u00a0because I realized the TAGS data scrapper must have started in the middle of the day on February 1, and stopped collecting in the middle of the day on February 7. This threw off my chart:<\/p>\n

\"1\"<\/p>\n

So then I removed the two dates (February 1 and February 7) from the chart, as I saw them to be outliers, and\u00a0then<\/em> my chart made more sense and was more interesting. February 2 was a Thursday, and had the most tweets on #climatechange. Friday and Saturday had a similar amount of tweets, then Sunday and Monday both had quite a bit fewer. I looked up any news during these days, and there did not seem to be anything eventful that would affect my data, so the disparity remains a mystery.<\/p>\n

\"2\"<\/p>\n

 <\/p>\n

Not many people have posted their stats, but from what is there makes my data seem a lot bigger than #LGBT and #keystoneXL. My mean (6,947) and median (6,976) is a lot larger. The mode was incalculable. This means more people are talking about climate change on Twitter than #LGBT and #keystoneXL.<\/p>\n

I have 34,735 tweets when I took out February 1 and February 7 (see above). My data’s minimum (6,781) and maximum (7,140) are also much larger than the rest, but my range is actually\u00a0smaller<\/em> than the rest (359). This suggests my data is more consistent from day-to-day. I am a standout from the data points from the rest of the class, except when it comes to range, which is quite consistent with the others. What this means about my data in general is that yes, a lot of people are talking about climate change on Twitter, and in many different languages. The language spread, to me, illustrates the worldliness of climate change, which is reassuring! I did not expect so many people to be talking about climate change in so many different languages. I mean, in just one week, #climatechange was used in 35 different languages. Twitter, which was started as and remains an English-intended social media network, reaches all over the world now, which is shown by my data using 88% English, and not 100%. The range of my data is also important, because since it deviates so little daily, it suggests that climate change is on people’s minds all the time, even on the weekend. Climate change is always an issue.<\/p>\n","protected":false},"excerpt":{"rendered":"

I am using ALL my Twitter data on #climatechange, which is 42,512 tweets. These data span across 35 languages: ar, ca, cs, da, de, en, en-gb, es, fa, fi, fr, gl, he, hr, hu, id, it, ja, ko, nl, no, pl, pt, ro, ru, sk, sr, sv, th, tr, uk, vi, zh-cn, and zh-tw. 37,651…<\/p>\n","protected":false},"author":1536,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[11],"tags":[],"_links":{"self":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3175"}],"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\/1536"}],"replies":[{"embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/comments?post=3175"}],"version-history":[{"count":6,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3175\/revisions"}],"predecessor-version":[{"id":3270,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3175\/revisions\/3270"}],"wp:attachment":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/media?parent=3175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/categories?post=3175"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/tags?post=3175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}