Data-Analysis

You’re probably aware of most of the products that Google offers. Trends, is one of them and it allows you to look up various trends of searches by time, country etc. It’s a lot of fun…if you’re into that sort of thing. I was randomly searching for usages of English words on Google Trends (as one does) and as I went through words of no real significance — boat, silo etc, at one point paused and almost on a whim looked up “Batman” , juust to see if people search for knowledge about the caped crusader on a daily basis. ...

Alright. Round 2 . FIGHT! So, the last time, I figured out, unintentionally, at what times of the day most of my posts happened. This time, I again unintentionally got results different from what I set out to do — I’ll get to this eventually I guess, but for now, the objective is obtaining a measure of the number of posts I make per day and thereby see if I can figure out which days of the week have been the most (least?) productive. Of course, this is still a step away from my eventual goal (hopefully Experiment 3 should sort it out). Let’s get to the methodology — ...

Hours of max FB Usage — I originally intended to do something else, but ended up doing this instead — Figuring out at what hours during the day I’ve been most active on Facebook — outliers included. How? Downloaded my entire Facebook data - This can be done using the Facebook APIs or using the less painful way — requesting for a copy of your Facebook data as a zip file from your Settings panel. ...