The Statistics Software R to Perform Statistical Analysis of Data Imported from Twitter - IT/Computer Science Assignment Help

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Students must use the statistics software R to perform statistical analysis of data imported from Twitter. The project will be submitted as a report containing the analysis and solution to the project problem. Each team will have a different data set and your report should include interpretation of the results and presentation of the findings. You must prepare your report using R and submit it as a PDF file. Case study The company 'Old School Business', also known as OSB, wants to start using social media to promote itself. They have approached your team with a request to find what other businesses have done successfully using social media. OSB are particularly interested in using Twitter and so have asked your team to perform an analysis on Twitter. Carefully read through the following steps to ensure you understand the details of this assignment. Once you've read through these steps, look through the assignment criteria towards the end of the page to see how marks will be awarded for this assignment.

Step 1: Choose a company that is active on Twitter, has over 10,000 followers and 1500 tweets. Make sure that this company has not already been chosen by another team. Note: a given company cannot be allocated to more than one team. If duplicate company names are found, the one with the later time stamp will be asked to find a new company. (The chosen company is Telstra to complete the following analysis. Here is the link of chosen company. https://twitter.com/Telstra . If the link does not work, please search Telstra in twitter. Telstra is one of the telecommunication company in Australia.)

Step 2: Complete the following analysis using the chosen Twitter handle. Analysis 1: Analysing the source of the tweets OSB wants to know how companies and public post their tweets. They want to use this information to understand if there is a relationship between the source of a tweet and the retweeting behaviour.

Complete the following tasks:

1. Use rtweet library to download 1000 tweets that the company posted. Save these tweets as tweets.company.

2. Use rtweet library to download 1000 tweets about the company you selected. Save these tweets as tweets.public.

3. Examine the source column of both company and the public tweets to see the source of tweets. Find out how many different levels of sources exist in the public and company tweets.

4. Draw a bar plot of the top 10 most frequent tweet sources for both company tweets and the public tweets. Label each bar with the source name.

5. Comment on your bar plots.

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