Eric, Sacha and Carlos shared about what they saw at the Quantified Self Conference in California.
I presented my data analysis of a year of my text messaging behaviour, albeit in slidedeck form.
Sharing my analysis was both awesome and humbling.
It was awesome because I received so many interesting questions about the analysis, and so much interesting discussion about communications was had, both during the meeting and after.
It was humbling because I received so many insightful suggestions about further analysis which could have been done, and which, in most cases, I had overlooked. These suggestions to dig deeper included analysis of:
- Time interval between messages in conversations (Not trivial, I noted)
- Total amount of information exchanged over time (length, as opposed to the number of messages)
- Average or distribution of message length per contact, and per gender
- Number of messages per day per contact, as a measure/proxy of relationship strength over time
- Sentiment analysis of messages, aggregate and per contact (Brilliant! How did I miss that?)
Again, it was quite humbling and also fantastic to hear all these suggestions.
The thing about data analysis is that there are always so many ways to analyze the data (and make data visualizations), and it's what you want to know and what you want to say that help determine how to best look at it.
It's late, and on that note, I leave you with a quick graph of the weekly number of messages for several contacts, as a proxy of relationship strength over time (pardon my lack of labeling). So looking forward to the next meeting.