My Life with Data

36

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Page 1: My Life with Data

MY LIFE WITH DATA

S ANAND, CHIEF DATA SCIENTIST, GRAMENER

By @sanand0

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WHAT IS DATA ART?HOW DO I LEARN IT?

IS IT OF ANY USE?

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Source: Designing Data Visualizations by Noah Iliinsky and Julie Steele (O’Reilly)

AUDIENCE

DATA AUTHOR

ANAL

YSIS

INFOGRAPHI

C

DATA ART

Exploring datafor its own sake

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WHAT IS DATA ART?HOW DO I LEARN IT?

IS IT OF ANY USE?

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BUT… I CAN’T DESIGN

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THIS IMAGE IS IRRELEVANT

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WHAT IS DATA ART?HOW DO I LEARN IT?

IS IT OF ANY USE?

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A science or an art may be said to be ‘useful’ if its development increases the well-being and comfort of men, if it promotes happiness, using that word in a crude an commonplace way.

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Thus medicine and physiology are useful because they relieve suffering, and engineering is useful because it helps us to build houses and bridges.

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Now some mathematics is certainly useful in this way; the engineers could not do their job mathematics, and mathematics is beginning to find applications even in physiology.

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The ‘nobler’ uses of mathematics, it shares with all creative art. Mathematics may, like poetry or music, increase the happiness of people.

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AlladinA Whole New World

QueenWe Will Rock You

Bobby McFerrinDon’t Worry Be Happy

Bryan AdamsPlease Forgive Me

Eric ClaptonWonderful Tonight

Lion KingHakuna Matata

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THE COLOUR OF THE TIMES

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UTTERLY, BUTTERLY, COLOURFUL

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Profits Made: Over the last 6years, you would have beaten a 10% Inflation about 82% of the time and lost outabout 18% of the time. So, mostly, you would have made money on Cipla with an average return of 14.9%.

Highest Returns: An average return of 14.1% has been observed when held for a period of one year.with a maximum of 79.6% if sold in Dec 2009, after beingheld for a year. And a maximum of 486.9% if sold at the end of Nov 2007 after holding for a month. The highest stock pricewas Rs 414 in Nov/Dec 2012.

-50% +50%returnsThis visual shows the returns from buying Cipla’s stock on any given month, and selling it in another.

The colour of each cell is the return (red is low, green is high) if you had invested in the stock in a given month and sold it on another. For example this mild red is the slightly negative return if you had bought Cipla stock in Mar 2011 (the row) and sold it in Jun 2011 (the column).

WHEN TO INVEST

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MLA attendance in the assemblyBased on assembly session attendanceKarnataka, 2008-2012 <

50< 75

< 95< 100= 100

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100.0%

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100.0% ಎಸ ‌.ಎ.ರವ�ಂದರನಾಥ ‌

99.3% ಎಂ.ವ.ನಾಗರಾಜ ‌

98.5%

ಸಾವರಭ;ಮಬಗಲ

98.5% ವೈ>.ಸಂಪಂಗ

98.1% ಜ.ಶವಣಣ

98.1%

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ಬ.ಸ.ನಾಗೇ�ಶ ‌

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ವ�ರಭದರಪಪ ಹಾಲಹರವ

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65.6% ರಾಮ

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ಶವರಾಜ ‌ತಂಗಡಗ

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85.7% ಬ.ಶರ�ರಾಮುಲು

64.3% ಆರ.

ವತ ;ರ ಪರಕಾಶ ‌

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93.3% ಕ.

ಶವನಗಡ ನಾಯಕ ‌

92.2%

ನಾಡಗಡ ವೈಂಕಟರಾವ ‌

92.2% ಎಂ.ಶರ�ನವಾಸ ‌

91.6% ಕ.ಬ.ಬಚಚ��ಗಡ

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87.0% ಜ.ಕ.ವೈಂಕಟರೇಡಡ

86.4%

ಸುರಭಾಷ ‌ಗುತತ��ದಾರ

85.7% ಎಚ ‌.ಡ.ರೇ�ವಣಣ

82.5%

ಕಲಪನಾ ಸದ�ರಾಜು

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ಸುನಲ ‌ವ.ಹಗಡ

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80.5% ಕರಡ ಸಂಗಣಣ

78.6% ಸ.ಎಸ ‌.ಪುಟಟರಾಜು

78.1% ಎಂ.ಟೀ.ಕೃಷಣಪಪ

77.9% ಸ.ಬ. ಸುರೇ�ಶ ‌ಬಾಬು

75.3% ಸ.ಎಸ ‌.ಪುಟೇಟ�ಗಡ

74.7% ಎ.ಬ. ರಮ�ಶ ‌ಬಂಡಸದೊ��ಗಡ

73.4% ದೀನಕರ ಶವಟೀಟ

73.4% ಎಚ ‌.ಎಸ ‌.ಪರಕಾಶ ‌

70.8% ಎಚ ‌.ಸ.ಬಾಲಕೃಷಣ

66.9% ಸಾ.ರಾ.ಮಹ�ಶ ‌

65.6% ಬಸವರಾಜ ‌62.3% ಎಸ ‌.ಆರ .ಶರ�ನವಾಸ ‌59.1% ಅರುಣಾ ರೇ�ವೂರು58.4% ಅನತಾ ಕುಮಾರಸಾ�ಮ39.0% ಜಮ�ರ ಅಹಮ4ದ ‌ಖಾನ ‌

Page 22: My Life with Data

Portfolio Performance Visual

Worldwide$288.0mn

A: Accelerate$68.9mn

B: Build$77.2mn

C: Cut down$141.9mn

Worldwide:$288 mn UK: 87.0

Stores: 34.4

Product 9: 6.2Product 10: 5.4Product 7: 5.1Product 15: 4.8Product 8: 3.1Product 14: 2.1

Partners: 29.2Product 15: 6.7Product 17: 4.1Product 6: 3.4Product 1: 3.2Product 7: 2.9Product 11: 2.4

Direct: 23.5 Product 17: 5.2Product 8: 4.4

Product 16: 4.0Product 14: 2.5Product 1: 2.5

Japan: 71.9 Stores: 25.9 Product 14: 6.0

Product 7: 5.4Product 11: 4.0Product 17: 2.8

Partners:

25.5Pro

duct 8: 8.2

Product 1

1: 3.6

Product 1

6: 3.3

Product 1

: 3.1

Product

9: 2.0

Direct:

20.5

Produ

ct 11

: 5.2

Produ

ct 15

: 4.5

Produ

ct 14

: 2.8

Produ

ct 9:

2.3

China

: 65.6

Partn

ers: 2

7.3

Produ

ct 10

: 8.0

Produ

ct 3:

7.1

Produ

ct 15

: 3.0

Produ

ct 2:

2.1

Produ

ct 8:

2.0

Dire

ct: 19

.6

Produ

ct 3:

5.5

Produ

ct 2:

4.7

Produ

ct 8:

2.6

Produ

ct 17

: 2.1

Stor

es: 1

8.7

Prod

uct 1

0: 5

.4

Prod

uct 1

4: 2

.2

Prod

uct 7

: 2.1

Prod

uct 1

5: 2

.0

Indi

a: 4

6.6

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es: 1

7.5

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uct 1

6: 6

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ct: 1

5.6

Prod

uct 1

0: 3

.4

Prod

uct 1

6: 2

.9

Prod

uct 1

7: 2

.5

Prod

uct 7

: 2.4

Partn

ers:

13.

4Pr

oduc

t 8: 2

.5

Prod

u ct 7

: 2.3

US: 1

7.0

Partn

ers:

6.0

Prod

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.4

Dire

ct: 5

.8Pr

oduc

t 11:

3.9

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. 3Pr

oduc

t 11 :

3.8

The visualization shows the market opportunities across various countries to identify areas of focus. This chart has been built as an interactive-app to present the key findings, while letting user click-through and drill-down to a custom view across 4 different levels.

Page 23: My Life with Data

We’ve used network diagrams to detect terrorism, corporate fraud, product affinities and behavioural customer segmentation

Page 24: My Life with Data

TRANSPORT ROUTE OPTIMISATION

https://gramener.com/routemap/

Page 25: My Life with Data

The Network Layout of each sonnet shows how Shakespeare wove together words to build a sonnet. Each circle is a word and the lines show the direction (or link) to the next word.

SHAKESPEARE’S SONNETSThe colour of the circle is an approximate indication of the Part of Speech!). The sonnet currently selected - Sonnet 7 is most textually similar to Sonnet 67 (25.40 %).

Page 26: My Life with Data

SHAKESPEARE’S SONNETS

Page 27: My Life with Data

PARLIAMENT DECISIONS

promotion scheme

project

approved

development

agreement amendment

central

act

section

limited

billlaning

plan

government

new

ltd

phaseapproval

sector

state

settinginvestment

pradesh

policy

four

programme

amendments

indianextensioninstitute

commission

nhdp

technology

proposal

iii

implementation

fund

establishment

equity

assistancecooperation

transfer

infrastructure

corporation

international

mou cabinet

company

public

year

revised

construction

services

continuation

approves

stateseducationadditional

financial

revision

sponsored

port

mission

centrally

basis

signing

protection

management

capital

bank

two

projects

research

upgradation

rural

special

land

delhi

employees

existing

committee

relief

convention six

crore

payment

power

health

cost

package

institutionsacquisition

control

restructuring

air

grant

field

university

scheduled

PRE-2009 2009 AND AFTERDecisions related to intervention, assistance and relief were almost entirely concentrated in pre-2009

The number of international agreements has declined dramatically between pre-2009 and post-2009

A significant rise in the number of decisions related to the States is

seen post 2009 – in contrast with the focus on “Central” pre-2009

Decisions to increase the number of lanes on highways grew significantly

post-2009, especially as part of the CCI (Cabinet Committee on Infrastructure)

decisions

Page 28: My Life with Data

WHAT TOPICS DID PARTIES FOCUS ON?

Adult Educat

ion

Adminisrative

Reforms

Agricultural

Marketing

AgricultureAnimal

Husbandry

Cooperative

Excise

Finance

Fisheries

Fisheries & Inland

water transport

Food & Civil

Supplies

Forest

Fuel

Haz & Wakf

Health and

family welfare

Higher Educat

ion

Home Hortic

ulture

Housing

Information &

Technology

Kannada &

Culture

Labour

Law & Human Rights

Major & Medium

Industries

Medical Educati

on

Medium and Large Industries

Mines & Geology

Minor Irrigati

on

Muzrai

P.W.D.

Parliamentary Affairs and Human

Rights

Planning

Planning and

Statistics

Primary and

Secondary Education

Primary Educati

on

Prison

Public Library

Revenue

Rural Developme

nt and Panchayat

Raj

Rural Water Supply

Rural Water

Supply and Sanitation

Sericulture

Small Scale

Industries

Small Industr

iesSocial Welfar

e

Sugar

Textile

Tourism

Transport

Transportatio

n

Urban Development

Water Resour

ces

Woman & Child

Development

Youth and

Sports

Youth Service & Sports

BJP focus

JD(S)focus

INC focus

Assembly session questionsKarnataka, 2008-2012

Page 29: My Life with Data

WHAT DID THE YOUNG & OLD FOCUS ON?

P.W.D.

Health and

family welfare

Revenue

Rural Developme

nt and Panchayat

Raj

Social Welfar

e

Urban Development

Water Resour

ces

Minor Irrigati

on

Fuel

Housing

Agriculture

Primary Educati

on

Primary and

Secondary Education

Woman & Child

Development

Higher Educat

ion

HomeCoope

rative

Forest

Adminisrative

Reforms

Labour

Food & Civil

Supplies

Tourism

Finance

Animal Husbandry

Transportatio

n

Horticulture

Muzrai

Haz & Wakf

TransportMedical

Education

Medium and Large Industries

Excise

Major & Medium Industrie

s

Kannada &

Culture

Textile

Fisheries

Parliamentary Affairs and Human

Rights

Adult Educat

ion

Rural Water

Supply and Sanitation

Mines & Geolog

y

Small Industri

es

Youth and

Sports

Sugar

Planning and

Statistics

Agricultural

Marketing

Rural Water Supply

Fisheries & Inland

water transport

Small Scale

Industries

Youth Service & Sports

Sericulture

Law & Human Rights

Prison

Planning

Information &

Technology

Public Library

Young Old

Assembly session questionsKarnataka, 2008-2012

Page 30: My Life with Data
Page 31: My Life with Data

CARTOONOGRAM

Page 32: My Life with Data

CARTOONOGRAM

Page 33: My Life with Data

CARTOONOGRAM

Page 34: My Life with Data

WHAT IS DATA ART?HOW DO I LEARN IT?

IS IT OF ANY USE?

Page 35: My Life with Data

ART FOR ITS OWN SAKEQUANTITY BEATS

QUALITYSOMEONE, SOME DAY, WILL USE IT

Page 36: My Life with Data

MY LIFE WITH DATA

S ANAND, CHIEF DATA SCIENTIST, GRAMENER

By @sanand0