Visualization

Recommending Reddit communities with Google BigQuery

Nov 11, 2017

Introduction: My previous post looked into most linked domains, in popular subreddits across the world. In that exploratary data analysis, I took a cluster of subreddits and did a comparative analysis of how (news-) domains linked, vary in their proportions within a cluster of subreddits. To a novice redditor though, it isn’t always clear which subreddits are alike, say, in terms of what they are about (for example, US Politics Wiki-rules), or, in terms of spatial proximity of subreddits, as extrapolated from redditors’ activity.

Reddit top domains: favorite news sources of redditors

Oct 10, 2017

Reddit is a happening space to start conversations on any topical stuff with other anons in reddit community. Understandably though, it takes some initial effort on user’s part to figure how to get going in reddit aka the front page of the internet. With thousands of user created communities out there to pick from (called subreddits in Reddit lingo), a new user will likely be at loss wondering how to pick the communities relevant to him or figure what sort of content gets discussed in communities that look interesting.

Twitter and The Social Graph

Jun 6, 2017

When it comes to discovering or consuming real-time content, Twitter is the place to be; be it sending out ‘Tweets’ real-time, or discovering latest online ‘Trends’ anywhere, or ability to begin a ‘conversation’ with anyone, Twitter does it all. In fact, Twitter Management wrote this in their letter to shareholders last year. We’re focused now on what Twitter does best: live.

Karnataka 2013 Election - A Data Story

May 5, 2017

Most Popular Parties Vote-Share of Popular Parties Number of Constituencies Won and Lost Candidates who saved their deposits Candidate who doesn’t get more than one-sixth of votes polled in Constituency loses his deposit. Histogram of Vote-shares Smoothened histogram after normalizing for difference in number of contested seats. Histogram of Vote-shares in Seats Won Smoothened histogram after normalizing for difference in number of seats won.

Uttarakhand 2017 Election - A Data Story

May 5, 2017

Most Popular Parties Vote-share and Long-Tail Win/Loss Count Note: There were 200+ Independent candidates contesting across constituencies Who lost their deposits? Party which doesn’t get more than one-sixth of votes polled in Constituency loses its deposit. Note: There were 200+ Independent candidates contesting across constituencies Histogram of Vote-shares After Normalizing: Smoothened histogram after normalizing for difference in number of contested seats.

Manipur 2017 Election - A Data Story

May 5, 2017

Most Popular Parties Vote-share and Long-Tail Win/Loss Count Who lost their deposits? Party which doesn’t get more than one-sixth of votes polled in Constituency loses its deposit. Histogram of Vote-shares After Normalizing: Smoothened histogram after normalizing for difference in number of contested seats. Histogram of Vote-shares in Seats Won After Normalizing: Smoothened histogram after normalizing for difference in number of contested seats.

Goa 2017 Election - A Data Story

May 5, 2017

Most Popular Parties Vote-share and Long-Tail Win/Loss Count Note: There were ~ 300 Independent candidates contesting across constituencies Who lost their deposits? Party which doesn’t get more than one-sixth of votes polled in Constituency loses its deposit. Note: There were ~ 300 Independent candidates contesting across constituencies Histogram of Vote-shares After Normalizing: Smoothened histogram after normalizing for difference in number of contested seats.

Punjab 2017 Election - A Data Story

May 5, 2017

Most Popular Parties Vote-share and Long-Tail Win/Loss Count Who lost their deposits? Party which doesn’t get more than one-sixth of votes polled in Constituency loses its deposit. Histogram of Vote-shares After Normalizing: Smoothened histogram after normalizing for difference in number of contested seats. Histogram of Vote-shares in Seats Won After Normalizing: Smoothened histogram after normalizing for difference in number of contested seats.

Uttar Pradesh 2017 Election - A Data Story

May 5, 2017

Most Popular Parties Vote-share and Long-Tail Win/Loss Count Note: There were 1000+ Independent candidates contesting across constituencies Who lost their deposits? Party which doesn’t get more than one-sixth of votes polled in Constituency loses its deposit. Note: There were 1000+ Independent candidates contesting across constituencies Histogram of Vote-shares After Normalizing: Smoothened histogram after normalizing for difference in number of contested seats.

Reddit top domains: favorite news sources of redditors

Karnataka 2013 Election - A Data Story

Uttarakhand 2017 Election - A Data Story

Manipur 2017 Election - A Data Story

Goa 2017 Election - A Data Story

Punjab 2017 Election - A Data Story

Balachandar Arumguam

Recommending Reddit communities with Google BigQuery

Reddit top domains: favorite news sources of redditors

Twitter and The Social Graph

Karnataka 2013 Election - A Data Story

Uttarakhand 2017 Election - A Data Story

Manipur 2017 Election - A Data Story

Goa 2017 Election - A Data Story

Punjab 2017 Election - A Data Story

Uttar Pradesh 2017 Election - A Data Story