Challenge #90: Analyzing Social Data (Part 2)

[cplewis90]

I made some adjustments to last week's output by adding some titles, an image and just some other cleanup. I also added an output report so I can send it to others.

Spoiler

[RolandSchubert]

My solution - added some interactive charting to last weeks workflow.

[JoshuaGostick]

Feels a bit like cheating but here's the chart I built for the previous challenge.

Spoiler

[dsmdavid]

Sentiment analysis in the python tool with nltp, then visualized in Tableau. Link to tableau public.

[cgoodman3]

[TonyA]

I have virtually no experience with Tableau so I took this chance to learn something about it. I tried a word cloud colored by number of unique user and sized by number of tweets. I did find one interesting thing that there were a number of topics that attracted a large number of casually interested users (one or two mentions of the topic by each user). There were a few that didn't attract a lot of users but they tended to tweet about it a lot more.  

[OllieClarke]

Looked at tweets and retweets per hour across the different hashtag searches

Spoiler

[KMiller]

Solution attached

Spoiler

[RWvanLeeuwen]

Here we go:

Spoiler

A few hastags seem to differ from the others based on the number of unique tweets and the number of retweets (and the ratio)Those few hashtags don't seem to stick for very long as the nuber of retweets tends to plateau within a few days and the amount of unique tweets declines rapidly as well

My workflow in Alteryx:

Spoiler