Editing Twitter analysis (CDSW)
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* Build a histogram of tweets per day. Use it to identify potential events. We'll use python to make a CSV file that we can import to a spreadsheet. | * Build a histogram of tweets per day. Use it to identify potential events. We'll use python to make a CSV file that we can import to a spreadsheet. | ||
* Change your program to plot the number of users that are tweeting. | * Change your program to plot the number of users that are tweeting. | ||
* Pick an interesting time period from the data. Can you figure out where | * Pick an interesting time period from the data. Can you figure out where the even took place based on the locale of the user? What about geographic information? Β | ||
* Who gets retweeted the most in the data set? | * Who gets retweeted the most in the data set? | ||
* Modify your histogram to look at tweets per hour rather than per day. | * Modify your histogram to look at tweets per hour rather than per day. |