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index.xml
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<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>Balachandar Blog</title>
<link>https://balaca.github.io/</link>
<description>Recent content on Balachandar Blog</description>
<generator>Hugo -- gohugo.io</generator>
<language>en-us</language>
<lastBuildDate>Sun, 20 May 2018 00:00:00 +0000</lastBuildDate>
<atom:link href="https://balaca.github.io/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>Karnataka 2018 Election - A Data Story</title>
<link>https://balaca.github.io/2018/05/ka-results/</link>
<pubDate>Sun, 20 May 2018 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2018/05/ka-results/</guid>
<description>Most Popular PartiesVote-Share of Popular PartiesNumber of Constituencies Won and LostCandidates who saved their depositsCandidate who doesn’t get more than one-sixth of votes polled in Constituency loses his deposit.
Histogram of Vote-sharesSmoothened histogram after normalizing for difference in number of contested seats.
Histogram of Vote-shares in Seats WonSmoothened histogram after normalizing for difference in number of seats won.</description>
</item>
<item>
<title>Recommending Reddit communities with Google BigQuery</title>
<link>https://balaca.github.io/2017/11/reddit-reco/</link>
<pubDate>Sat, 11 Nov 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/11/reddit-reco/</guid>
<description>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.</description>
</item>
<item>
<title>Reddit top domains: favorite news sources of redditors</title>
<link>https://balaca.github.io/2017/10/reddit/</link>
<pubDate>Sun, 29 Oct 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/10/reddit/</guid>
<description>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.</description>
</item>
<item>
<title>Twitter and The Social Graph</title>
<link>https://balaca.github.io/2017/06/twitter-graph/</link>
<pubDate>Fri, 02 Jun 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/06/twitter-graph/</guid>
<description>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.</description>
</item>
<item>
<title>Karnataka 2013 Election - A Data Story</title>
<link>https://balaca.github.io/2017/05/ka-results/</link>
<pubDate>Tue, 30 May 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/05/ka-results/</guid>
<description>Most Popular PartiesVote-Share of Popular PartiesNumber of Constituencies Won and LostCandidates who saved their depositsCandidate who doesn’t get more than one-sixth of votes polled in Constituency loses his deposit.
Histogram of Vote-sharesSmoothened histogram after normalizing for difference in number of contested seats.
Histogram of Vote-shares in Seats WonSmoothened histogram after normalizing for difference in number of seats won.</description>
</item>
<item>
<title>Uttarakhand 2017 Election - A Data Story</title>
<link>https://balaca.github.io/2017/05/uk-results/</link>
<pubDate>Tue, 30 May 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/05/uk-results/</guid>
<description>Most Popular PartiesVote-share and Long-TailWin/Loss CountNote: 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-sharesAfter Normalizing:Smoothened histogram after normalizing for difference in number of contested seats.</description>
</item>
<item>
<title>Manipur 2017 Election - A Data Story</title>
<link>https://balaca.github.io/2017/05/manipur-results/</link>
<pubDate>Sun, 21 May 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/05/manipur-results/</guid>
<description>Most Popular PartiesVote-share and Long-TailWin/Loss CountWho lost their deposits?Party which doesn’t get more than one-sixth of votes polled in Constituency loses its deposit.
Histogram of Vote-sharesAfter Normalizing:Smoothened histogram after normalizing for difference in number of contested seats.
Histogram of Vote-shares in Seats WonAfter Normalizing:Smoothened histogram after normalizing for difference in number of contested seats.</description>
</item>
<item>
<title>Goa 2017 Election - A Data Story</title>
<link>https://balaca.github.io/2017/05/goa-results/</link>
<pubDate>Sat, 20 May 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/05/goa-results/</guid>
<description>Most Popular PartiesVote-share and Long-TailWin/Loss CountNote: 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-sharesAfter Normalizing:Smoothened histogram after normalizing for difference in number of contested seats.</description>
</item>
<item>
<title>Punjab 2017 Election - A Data Story</title>
<link>https://balaca.github.io/2017/05/punjab-results/</link>
<pubDate>Thu, 18 May 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/05/punjab-results/</guid>
<description>Most Popular PartiesVote-share and Long-TailWin/Loss CountWho lost their deposits?Party which doesn’t get more than one-sixth of votes polled in Constituency loses its deposit.
Histogram of Vote-sharesAfter Normalizing:Smoothened histogram after normalizing for difference in number of contested seats.
Histogram of Vote-shares in Seats WonAfter Normalizing:Smoothened histogram after normalizing for difference in number of contested seats.</description>
</item>
<item>
<title>Uttar Pradesh 2017 Election - A Data Story</title>
<link>https://balaca.github.io/2017/05/up-results/</link>
<pubDate>Thu, 18 May 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/05/up-results/</guid>
<description>Most Popular PartiesVote-share and Long-TailWin/Loss CountNote: 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-sharesAfter Normalizing:Smoothened histogram after normalizing for difference in number of contested seats.</description>
</item>
<item>
<title>TamilNadu 2016 Election - A Data Story</title>
<link>https://balaca.github.io/2017/05/tamilnadu-2016-election---a-data-story/</link>
<pubDate>Mon, 15 May 2017 00:00:00 +0000</pubDate>
<guid>https://balaca.github.io/2017/05/tamilnadu-2016-election---a-data-story/</guid>
<description>Ever since CN Annadurai of DMK uprooted INC, the sole dominant party then in 1967 elections, two dominant parties DMK and AIADMK had been alternating in throne for the most time in TamilNadu politics. One exception was December 1984 election when MG Ramachandran of AIADMK, incumbent Chief Minister then, won an absolute majority with 54% vote-share and retained his Chief Minister seat.
Fast forward 30 years, last May, we witnessed another such rarity when incumbent Chief Minister J Jayalalitha held onto her seat despite the anti-incumbency wave (partly from mishandling of floods), new parties mushrooming in the State and no popular party in AIADMK coaliation.</description>
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</channel>
</rss>