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I might have missed some cleansing with this, but I guess I will realise it better when I will plug the data into Tableau - most likely tomorrow 🙂
I think it is an interesting challenge as at least myself I did not deal often with social data and they indeed have a peculiar structure!
Below my solution, I think I got them ready to visualise and analyse 🙂
Ok, this is my first submission for the Weekly Challenges,
I Guess mine is not as squeaky clean as most, I was doing some generic calcs and ETL for conventional charting, and suddenly realized this might be a very interesting challenge to try out Alteryx's network analysis tool, so from there, i got to this point 🙂 ( the basic ETL are the orphaned flows on top) So started iterating and testing little other blocks, and got kind of messy, just like a kid having funn with paint
The Idea: visualize who were the primary influencers,
The solution, once visualised, is not that super handy, as i run into trouble graphing every tweet, so here i limited it to the first 1500 records, sorted chronologically.
The last pic is a Data-Dandelion of social importance 🙂
I decided to focus my analysis on time and influencers. So, cleaned up the time and date fields to be actual time and date format, and then combined them into one field.
Created a new field to determine who was being retweeted, and then counted the number of times each was retweeted (higher number = more of an influencer).
Finally, parsed the unique tweets into rows based on hashtags for a hashtag analysis. Outputs all go into .tde format to be fed into a Tableau dashboard.