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For the last 40 days I have been tracking how many hours I sleep, work, scroll, and am social.
I used sleeping tracker for sleep data, work time sheets for clients, screen time for scrolling and estimating the time out.
And using k-means clustering, it grouped hours vs sleep and work into 3 distinct groups. Although the data doesn’t directly label a category, you can look at each cluster and further infer what’s going on.
For example, from my result it is very clear that even though sometimes I don’t believe it, when my sleep suffers, my work hours definitely does too. It’s a common pattern in the data.
Using this tool, you can take a look at all different kinds of data. Personal data, sales data, gaming stats and find patterns you didn’t know exist.
#datascience #clustering #learntocode #KNIME #KNIMECollab
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