Social Media and Analytics is always an interesting combination. Twitter has an API that you can so you can connect to using R and RStudio (and a whole bunch of other languages too) to analyse twitter data.
In this post we will simply look at how we go about connecting to twitter with R and Studio
Assuming you R and R Studio downloaded and installed
You need a Developer Account
- Name - give your app a name
- Description - describe the application
- URL - this can be anything. I used my blog URL
- Call back URL - I didn't provide this
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| Create a twitter application |
Install TwitteR
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| Install twitteR Application |
With twitteR installed the next you need to do is connect using R. To do this you need generate some access key from the twitter application that we created above. Go to the application and click on the the Key and Access Token
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| Access token and secret |
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| API key and secret |
The next step is to open up a new session in R Studio. The following code loads the TwitteR and DevTools packages and authenticates using your application keys
Then You can use the twitteR package to work with Twitter. The following updates your status. We will look at what else we can do with this package in a later post.
updateStatus("Another Morning of #R...#RStudio and twitteR")
Here's my tweet from RStudio
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| My tweet from Studio |
R and twitteR can be a really useful combination in analysing your twitter feed. We'll look at a practical use for this in a later post.
