My Birding Twitter Account Analysis

There are a lot of interesting, socially-beneficial-if-analyzed data on the Internet, and choosing the theme, "what to analyze," was the hardest question to ask. I have spent two days on the recommended sites, wondering what topic I should choose among them.

• The data set should not be too large, as that might require dedicated, high-speed chipset to analyze.
• The data set should not be something too controversial, which potentially leads to disinformation.
• The data set should not be something that requires specialized background knowledge to interpret (i.e., medical data, phermaceutical data)

That being said, I decided to analyze my own Twitter account instead of the recommended sources. I use that account to tweet birding and birding-related information. The overall size of the datal is not too small and not too large, and can be interpreted fairly well without any prior, specialized knowledge (because this is about myself anyway). And most of all, this can directly be used on analyzing a corporate Twitter account. As I carefully avoided any negative topics on this account, information on it would not be too controversial.

From this data analysis, I would like to find out:

1. What time of the day / what day of the week has higher impression?
2. What types of tweets are well-liked, and what are not? What differentiate these two?
3. Am I chatty or choppy?
4. With whom I communicate most?
5. What topics I am mostly talking about?

Basic facts which is not included in the data is as follows:

• My Followers: 285 (as of 09/16/2020) people
• I am Following: 240 people
• I have joined Twitter in October 2018.