PICTURES USING NUMBERS

S ANANDWWW.S-ANAND.NET

2010 Bangalore DelhiHyderaba

dMumbai

MonthPric

eSale

sPric

eSale

sPric

eSale

sPric

eSale

s

Jan 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58

Feb 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76

Mar 13.0 7.58 13.0 8.74 13.012.7

48.0 7.71

Apr 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84

May 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47

Jun 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04

Jul 6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25

Aug 4.0 4.26 4.0 3.10 4.0 5.39 19.012.5

0

Sep 12.010.8

412.0 9.13 12.0 8.15 8.0 5.56

Oct 7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91

Nov 5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89

Average

9.0 7.50 9.0 7.50 9.0 7.50 9.0 7.50

Variance

10.0 3.75 10.0 3.75 10.0 3.75 10.0 3.75

DETECTING FRAUD

“We know meter readings are incorrect, for various reasons.

We don’t, however, have the concrete proof we need to start the process of meter reading automation.

Part of our problem is the volume of data that needs to be analysed. The other is the inexperience in tools or analyses to identify such patterns.

ENERGY UTILITY

Apr-10 May-10 Jun-10 Jul-10 Aug-10Sep-10 Oct-10 Nov-10 Dec-10 Jan-11 Feb-11 Mar-11217 219 200 200 200 200 200 200 200 350 200 200250 200 200 200 201 200 200 200 250 200 200 150250 150 150 200 200 200 200 200 200 200 200 150150 200 200 200 200 200 200 200 200 200 200 50200 200 200 150 180 150 50 100 50 70 100 100100 100 100 100 100 100 100 100 100 100 110 100100 150 123 123 50 100 50 100 100 100 100 100

0 111 100 100 100 100 100 100 100 100 50 500 100 27 100 50 100 100 100 100 100 70 1001 1 1 100 99 50 100 100 100 100 100 100

Apr-10 May-10 Jun-10 Jul-10 Aug-10Sep-10 Oct-10 Nov-10 Dec-10 Jan-11 Feb-11 Mar-11217 219 200 200 200 200 200 200 200 350 200 200250 200 200 200 201 200 200 200 250 200 200 150250 150 150 200 200 200 200 200 200 200 200 150150 200 200 200 200 200 200 200 200 200 200 50200 200 200 150 180 150 50 100 50 70 100 100100 100 100 100 100 100 100 100 100 100 110 100100 150 123 123 50 100 50 100 100 100 100 100

0 111 100 100 100 100 100 100 100 100 50 500 100 27 100 50 100 100 100 100 100 70 1001 1 1 100 99 50 100 100 100 100 100 100

Section Apr-10May-10Jun-10Jul-10

Aug-10

Sep-10

Oct-10Nov-10

Dec-10

Jan-11

Feb-11

Mar-11

Section 1 70% 97% 136% 65% 110% 116% 121% 107% 114% 88% 74% 109%Section 2 66% 92% 66% 87% 70% 64% 63% 50% 58% 38% 41% 54%Section 3 90% 46% 47% 43% 28% 31% 50% 32% 19% 38% 8% 34%Section 4 44% 24% 36% 39% 21% 18% 24% 49% 56% 44% 31% 14%Section 5 4% 63% -27% 20% 41% 82% 26% 34% 43% 2% 37% 15%Section 6 18% 23% 30% 21% 28% 33% 39% 41% 39% 18% 0% 33%Section 7 36% 51% 33% 33% 27% 35% 10% 39% 12% 5% 15% 14%Section 8 22% 21% 28% 12% 24% 27% 10% 31% 13% 11% 22% 17%Section 9 19% 35% 14% 9% 16% 32% 37% 12% 9% 5% -3% 11%

FINDING PATTERNS

Which securities move together?

How should I diversify?

What should I sell to reduce risk?

What’s a reliable predictor of a security?

SECURITIES

68% correlation between AUD &

EUR

Plot of 6 month daily AUD - EUR

values

EDUCATION

PREDICTING MARKS

What determines a child’s marks?

Do girls score better than boys?

Does the choice of subject matter?

Does the medium of instruction matter?

Does community or religion matter?

Does the first letter of their name matter?

Does their sun sign matter?

 

Based on the results of the 20 lakh students taking the Class XII exams at Tamil Nadu over the last 3 years, it appears that the month you were born in can make a difference of as much as 120 marks out of 1,200.

June borns score the

lowest

The marks shoot up for Aug borns

… and peaks for Sep-borns

120 marks out of 1200

explainable by month of birth

An identical pattern was observed in 2009 and 2010…

… and across districts, gender, subjects, and class X & XII.

“It’s simply that in Canada the eligibility cutoff for age-class hockey is January 1. A boy who turns ten on January 2, then, could be playing alongside someone who doesn’t turn ten until the end of the year—and at that age, in preadolescence, a twelve-month gap in age represents an enormous difference in physical maturity.”

-- Malcolm Gladwell, Outliers

NETWORKS

EXPLORING RELATIONS

This is the social network of programmers across various Indian cities, using the follower network at Github.com – a Facebook for developers.

Each circle represents a coder. The size shows their number of followers. The colour shows the language they develop in. The lines show whom they follow.

PuneChennaiBangalore

DelhiMumbaiHyderabad

INDIAN ODI BATTING

INDIAN ODI BATTING

http://www.s-anand.net

http://blog.gramener.com