visualizing the indian elections
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Visual Insights of the World's Largest DemocracyTRANSCRIPT
Visual Insights of the World’s Largest Democracy
By B.Ganes Kesari & Shravan Kumar
ODC 2014, ISB
History of Elections in IndiaInteractively explore the historical view of General Elections
AGENDA
Some Interesting InsightsDiscuss key insights across various perspectives
Counting Day UnfoldsHow real-time visual analytics were served on the Live Results
What do Elections remind us of ?
Massive Rallies..
Myriad Symbols & Colours..
Seasonal businesses..
High-decibel campaigning..
…and Victory laps.
~300 Parties fielding 8000 candidates
~800 Mn Registered Voters
~1 Mn booths served by 20 Mn people
~21,000 Votes/sec of live results
Varied data on several parameters
A Big Data problem… in every sense
But General Elections also entail…
Can we visualize the results of every single Lok Sabha election
since Independence?
https://gramener.com/election/parliament
On the other hand, which party has the most losses in Lok Sabha
elections?
https://gramener.com/election/parliament#story.ddp
Which constituency had the most number of candidates ever?
https://gramener.com/election/parliament#cartogram?METRIC=CANDIDATES&YEAR=1996
0%
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100%
0 2 4 6 8 10 12 14 16 18
# contestants
Win
ner
mar
gin
More contestants did not reduce the winner marginKarnataka, Assembly Elections 2008
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# contestants
Ru
nn
er-u
p m
argi
n
More contestants did reduce the runner-up marginKarnataka, Assembly Elections 2004
Does age make a difference?Do old candidates win less often?
1%2%
4%
6%
9%
11%
14%
11%
16%
18%
22% 22%
33%
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25-30 30-35 35-40 40-45 45-50 50-55 55-60 60-65 65-70 70-75 75-80 80-85 85-90
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Win %The number of winning candidates as a % of candidates in the age group
CandidatesThe number of candidates in each
age group
Lok S
abha (
2004 o
nw
ard
s)
2%
4%
6%
9%
12%
15%
17%
15%16%
18% 18%
20%
27%
0%
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25-30 30-35 35-40 40-45 45-50 50-55 55-60 60-65 65-70 70-75 75-80 80-85 85-90
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Win %The number of winning candidates as a % of candidates in the age group
CandidatesThe number of candidates in each
age group
Ass
em
bly
ele
cti
ons
(2004 o
nw
ard
s)
What about wealth? How is that distributed?
http://times.gramener.com/candidates/
RS 1 LAKH
RS 10 LAKHS
RS 1 CRORE
RS 10 CRORES
RS 100 CRORE
RS 1,000 CRORES
RS 10,000 CRORES
LIVE ELECTION ANALYSIS
Our CNN-IBN Microsoft Election Analytics Canter, which you can see at www.bing.com/elections or http://ibn.gramener.com/live, served over 10 million requests on 16th May 2014 — the day of India election results.
This is one of the largest real-time visualisations that we (and perhaps many others) have attempted
LIVE ELECTION ANALYSIS
How did the regional parties fair??
Was it only the BJP who managed clean sweeps?
ADMK in TNBJD in ODTRS in TGTMC in WB Managed historic wins.
Video recreating
how the Election results unfolded
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