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. I have 80969 tweets that I am analyzing means 87.4% of my tweets were tweeted in english.
Pie Chart:
#Energy is fascinating because it is a global issue and that is why I have people tweeting with #energy in 26 different languages. I chose to examine English because it is the language I am fluent in and 88% of my entire data is tweeted in English. I 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. Turns out not so much as Arabic was less than 1% of it, being 0.005%. Ergo few people people are tweeting about #energy in arabic. I 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. And all remaining other languages were 11%. Telling me that the majority of the people in the world who are tweeting about #energy are tweeting and speaking in English.
Part III:
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. I decided to graph these points and list their values because the majority of my data came in 11 days. 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. 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. This was a massive push in a green direction in the United States so #energy was a very hot hashtag.
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. 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. 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. Trump’s decision to rid the government of that plan most likely is the reason for the spike in tweets this week. 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. 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. On February 6, 2017 #energy was tweeted about 6560 times, it was more Trump aftermath. 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. 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. On February 9, energy was tweeted about 5456 times, it was more Trump and Guggenheim aftermath. On February 10, when it was tweeted about 6320 times nothing new happened. 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. 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. Twitter users like to tweet about Trump and Trump loves to tweet about himself.
Part IV:
(Numbers from Feb 1 to Feb 11) Not complete data set.
Average: 5,056.5
Median: 6560
Mode: N/A (Everything occurred once)
Sum: 55,622 (total was 80,969 all semester, but for purpose to graphs and charting I focused on the 11 days above)
MAX: 6,621
MIN: 1,238
Range: 5,383
In comparison to the rest of the class my totals are higher than that of my class mates. My Mean and Median both rank 3rd highest in the class. I would not say that I am a stand out unless that top group is classified as a stand out. 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. 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. 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. It could take a company with energy in its name making an executive change or Trump throwing away a green planet plan. 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. 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. What really stands out to me is how my hashtag depends on what is going on that day in the news. Trump making a decision gave me roughly 69% of my data. Because of what our President did it gave me a data set. I hypothesized that because it was such a large and broad hashtag that the times tweeted number would remain constant and fairly uniform. I was very wrong as #energy is used as a reaction to what is happening in the world.
I am guessing your graph would’ve looked differently if you took out the first (February 1) and last (February 11) days, because they were not recorded as full days, which is what I did and noticed more interesting results than with the outlier-days. It’s really interesting how you went day-by-day to explain what was happening in the world of energy, and I’m sure that close examination will be really useful to you next week when we look at everything. Also, it looks like people don’t like to tweet about energy on the weekends. I wonder why and what that means…
Its cool that, while you have such a broad topic and it has caused your data to be all over the place, here you can see how far that broad topic spans in terms of language. Its also awesome that you have detected the pattern of your hashtag’s data as a reaction which makes analyzing its frequencies a lot more interesting and relatable. I think it would be interesting to compare dates between our data to see if events related to #keystoneXL also relate to spikes or dips in the #energy twitter conversations.
Wow I really appreciate your day by day analysis of why tweets for #energy spiked during this time period. Such analysis really reveals a lot about your data and definitely means that you gleaned a lot from your data! I especially enjoy seeing your analysis that finds spikes in #energy catalyzed by events not concerning Donald Trump – like the discovery of oil in Morocco! It would be very interesting to see if perhaps some of those French and Arabic tweets came from Morocco as both languages are spoken there!