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Our existing notebooks explore
data from Fitbit, Apple Healthkit and Twitter archives. Some of these analyses are rather basic
at this point.
If you have an interest in extending these notebooks - or are inspired to write your own analyses for these data types -
please go ahead. Some potential ideas:
Extend the Twitter sentiment analysis to:
Which emoji are most often used with the top-people a person replies to?
Are there changes in tweets between weekdays & weekends?
Extend Fitbit/HealthKit:
Is there a clear correlation between elevation gains/flights climbed and step counts?
Is there a linear relationship between the distances in miles/kilometer and the step counts?
The text was updated successfully, but these errors were encountered:
-
Our existing notebooks explore
data from Fitbit, Apple Healthkit and Twitter archives. Some of these analyses are rather basic
at this point.
If you have an interest in extending these notebooks - or are inspired to write your own analyses for these data types -
please go ahead. Some potential ideas:
The text was updated successfully, but these errors were encountered: