Milestone Report of Capstone Project of Data Scicence Specialization In Coursera
Aden Guo
Friday, November 14, 2014
This report is mainly an exploratory analysis of the data provided by Capstone Project of Data Science Specialization.
Loading The Data
The data is orginized and loaded as lines of string.
US_tweet <- readLines("data\\en_US\\en_US.twitter.txt")
US_news <- readLines("data\\en_US\\en_US.news.txt")
US_blogs <- readLines("data\\en_US\\en_US.blogs.txt")First 5 lines of the tweet texts:
head(US_tweet, n=5)## [1] "How are you? Btw thanks for the RT. You gonna be in DC anytime soon? Love to see you. Been way, way too long."
## [2] "When you meet someone special... you'll know. Your heart will beat more rapidly and you'll smile for no reason."
## [3] "they've decided its more fun if I don't."
## [4] "So Tired D; Played Lazer Tag & Ran A LOT D; Ughh Going To Sleep Like In 5 Minutes ;)"
## [5] "Words from a complete stranger! Made my birthday even better :)"First 5 lines of the blogs texts:
head(US_blogs, n=5)## [1] "In the years thereafter, most of the Oil fields and platforms were named after pagan 鈥済ods鈥\x9d."
## [2] "We love you Mr. Brown."
## [3] "Chad has been awesome with the kids and holding down the fort while I work later than usual! The kids have been busy together playing Skylander on the XBox together, after Kyan cashed in his $$$ from his piggy bank. He wanted that game so bad and used his gift card from his birthday he has been saving and the money to get it (he never taps into that thing either, that is how we know he wanted it so bad). We made him count all of his money to make sure that he had enough! It was very cute to watch his reaction when he realized he did! He also does a very good job of letting Lola feel like she is playing too, by letting her switch out the characters! She loves it almost as much as him."
## [4] "so anyways, i am going to share some home decor inspiration that i have been storing in my folder on the puter. i have all these amazing images stored away ready to come to life when we get our home."
## [5] "With graduation season right around the corner, Nancy has whipped up a fun set to help you out with not only your graduation cards and gifts, but any occasion that brings on a change in one's life. I stamped the images in Memento Tuxedo Black and cut them out with circle Nestabilities. I embossed the kraft and red cardstock with TE's new Stars Impressions Plate, which is double sided and gives you 2 fantastic patterns. You can see how to use the Impressions Plates in this tutorial Taylor created. Just one pass through your die cut machine using the Embossing Pad Kit is all you need to do - super easy!"First 5 lines of the news texts:
head(US_news, n=5)## [1] "He wasn't home alone, apparently."
## [2] "The St. Louis plant had to close. It would die of old age. Workers had been making cars there since the onset of mass automotive production in the 1920s."
## [3] "WSU's plans quickly became a hot topic on local online sites. Though most people applauded plans for the new biomedical center, many deplored the potential loss of the building."
## [4] "The Alaimo Group of Mount Holly was up for a contract last fall to evaluate and suggest improvements to Trenton Water Works. But campaign finance records released this week show the two employees donated a total of $4,500 to the political action committee (PAC) Partners for Progress in early June. Partners for Progress reported it gave more than $10,000 in both direct and in-kind contributions to Mayor Tony Mack in the two weeks leading up to his victory in the mayoral runoff election June 15."
## [5] "And when it's often difficult to predict a law's impact, legislators should think twice before carrying any bill. Is it absolutely necessary? Is it an issue serious enough to merit their attention? Will it definitely not make the situation worse?"As we can see, the texts are devided by lines and almost each line represents a complete piece of natural language, in this case, English. It is also worth noticed that a line may be consisted of several sentences
Some Summaries of the Corpus
Summary of tweets, total 2 million lines and about 30 million words.
library("stringi")
stri_stats_general(US_tweet)## Lines LinesNEmpty Chars CharsNWhite
## 2360148 2360148 162197395 134183998sum(stri_count_words(US_tweet))## [1] 30212945Summary of blogs, total 899k lines and about 38 billion words.
stri_stats_general(US_blogs)## Lines LinesNEmpty Chars CharsNWhite
## 899288 899288 207060753 170625910sum(stri_count_words(US_blogs))## [1] 38348507Summary of news, total 77k lines and about 2.6 million words.
stri_stats_general(US_news)## Lines LinesNEmpty Chars CharsNWhite
## 77259 77259 15648276 13081566sum(stri_count_words(US_news))## [1] 2698652And I plot the distribution of the lengths of lines in three Corpus:
This distribution of tweets is among 0-40, it is almost fairly distributed:
tweet_length <- stri_count_words(US_tweet)
hist(tweet_length, breaks = 200, freq = TRUE)
This distribution of blogs is most screwed, it suggest that many lines contain 0 words( this may due to the mistakes of counting program) and several blogs are very long, containing several thousand of words.
blog_length <- stri_count_words(US_blogs)
hist(blog_length, breaks = 500, freq = TRUE)
This distribution of news is also screwed. And many lines are very long.
news_length <- stri_count_words(US_news)
hist(news_length, breaks = 200, freq = TRUE)