R Tutorial : Differences by state

YouTube Excerpt: Want to learn more? Take the full course at https://learn.datacamp.com/courses/sentiment-analysis-in-r-the-tidy-way at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work. --- You've learned a lot already about words with emotional content that are used in tweets in the United States. We can take this a step further by exploring differences in sentiment and word use by state. First of all, you can take the dataframe that you produced earlier when you implemented sentiment analysis and filter() for just one state and, say, one sentiment. This can let you look at, for example, the words that one state uses that contribute to that one sentiment. If you want to calculate a quantity for all the states, what you will want to do is group by state. If you do that, you can calculate some quantity for all the states at once. As we approach the end of this chapter, you are going to use a new function that is from the tidyr package. It's called spread(), and what spread does is take long, skinny data frame, as you see here...  ... and spreads it to make a wide data frame, with each group in its own column. You are going to use the pattern we talked about earlier, where you group_by(), perform a calculation, then ungroup(). In this case, the calculation is finding what the average frequency is for each sentiment in the NRC lexicon in each state by using spread(). Sounds interesting to me! Time to get started. #DataCamp #RTutorial #SentimentAnalysisinR

Want to learn more? Take the full course at https://learn.datacamp.com/courses/sentiment-analysis-in-r-the-tidy-way at your own pace. More than a...

Read Full Article 🔍

Curious about R Tutorial : Differences By State's Color? Explore detailed estimates, salary breakdowns, and financial insights that reveal the true scope of their profile.

Source ID: yRhysnsLvg0

Category: color style guide