Data

/new-york by day 🗽 /zinger by night 😈 Fan of eating tacos and bringing people together, often at the same time 🌮

running the engagement stats on casts that contain a question mark vs. not must be wild

I’ll make this a bytelight question - give an answer query that has a percentage breakdown of top level casts that have a question mark. What percentage will it be over time? :)

gm @ilemi @btayengco 
I am building a prototype for a data analytics app that can provide some insights. One of the features in my dataset is "Does a cast ask an interesting question? (answered by Mistral model)
Turns out the model flags about 10% as yes, and here's the trend over time

headmaster @duneanalytics, previously mirror and consensys

jack of some trades @syndicate, sharing swing /jazz

You can also compare the 2 groups of casts over different features.
For example, the casts with questions tend to have more engagement even if they come from users with less followers.

Printing "Hello World" since 1980. Building app.datascience.art

Here is the link to the views above:
https://app.datascience.art/#/trends/2024-07-09/2024-07-24/q_interesting_ask_0,q_interesting_ask_1
(ignore the dates, the current version just pulls all available data)

It works to compare categories, topics and keywords too.
For example ethereum vs bitcoin topics here: