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THE SHADOW THE SHADOW

THE SHADOW - PowerPoint Presentation

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THE SHADOW - PPT Presentation

OF TERROR BIJOY RAVEENDRAN INFORMATION amp INTERFACE DESIGN JULY 26 2013 NATIONAL INSTITUTE OF DESIGN 30 years of every terrorist incident from 1970 2011 200K records Retrieved from the Global Terrorism DB ID: 322073

map data considerations future data map future considerations plans index enriching country design severity damage visualization api years attack dataset geo numbers

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Slide1

THE SHADOWOF TERROR

BIJOY RAVEENDRANINFORMATION & INTERFACE DESIGN

JULY 26 2013 | NATIONAL INSTITUTE OF DESIGNSlide2

30 years of every terrorist incident from 1970 – 2011 (200K records)

Retrieved from the Global Terrorism DB

Date of attack, place of attack, group name, target, casualities, weapons used, damages, motive,

descriprion

Supplementary information from Wikipedia

DATASET

DATASETSlide3

‘Exploratory’ more than ‘explanatory’

Data is in the form of events – so have a timeline and plot it on a map

No story at the moment – so emphasize on the numbers and threat level

Gather supplementary information from Wikipedia

CONSIDERATIONS

CONSIDERATIONSSlide4

INITIAL ITERATIONS

ITERATIONSlide5

Markers on map can be represented as explosions (or the color of fire)

Use opacity to show overlapping layers or use ‘no-overlap’ (ruled out later)Make the map borderless , add more negative space around content, so emphasis goes to subject matter

Tree maps a better option over bar charts for summary data

CONSIDERATIONS (contd.)

CONSIDERATIONSSlide6

Scaled down dataset (30 years to 7 years)

Removed unused data columns

Removed ‘invalids’

0 or unknown month/day/yearUnknown city/state/country

0

casualities/wounded and 0/unknown damages

SANITIZING DATA

SANITIZING DATASlide7

Used Google’s ‘Geo’ API to geo-tag locations

Pivot tables based on ‘terrorist organizations’, ‘country of attack’, and ‘mode of attack’ columns.Formula to calculate severity of attack based on following data:

Number of people killedNumber of people wounded

Estimated damage to property

ENRICHING DATA

ENRICHING DATASlide8

Severity = ( dead_index

* 10 + wounded_index

* 7.5 + damage_index * 2.5 )

ENRICHING DATA (contd.)

Dead_Index

0-40 : 140-80 : 2

80-120 : 3120-160 : 4160 – 200 :

5

Wound_Index

0-75 :

1

75-150 :

2

150-225 :

3

225-300 :

4

>

300:

5

Damage_Index

<1million :

1

1m – 1b :

2

>1b :

3

ENRICHING DATASlide9

Excel for data/business logicTileMill

for map creationMapBox for map hosting

Google Docs for geo-codingGoogle Visualization API to generate tree-mapsHTML/Javascript

for layout

For proposed future use :

MapBox.js/Wax for custom tooltips/legendFlash for intro screenTOOLS

TOOLSSlide10

SEE VISUALIZATION NOW!

Goto visualizationSlide11

‘Invalids’ may be incidents of high severity

TileMill rejects non geo-coded locations – skews the numbers

Geo-coding API is not entirely accurate – combination of city/country not yielding better results. May have to manually encode.

SOURCES OF ERROR

ERRORSSlide12

All deaths are considered the same – shouldn’t assassinations be considered to be of higher priority?

Large data shown as “############”

If ‘others’ occurs in any of the top 10 visualizations, it has been ignored

SOURCES OF ERROR

ERRORSSlide13

Incorporate complete data set

Complete other sections

Include opening sequence to set up the story

Adding animation to map markers will help emphasize more on numbers

FUTURE PLANS

FUTURE PLANSSlide14

FUTURE PLANS

FUTURE PLANS

Link tooltip to related news article (probably for high severity incidents)

Remove top 5 countries from tree-map. Have a

choroplethic

view on country wise impact instead.Include – ‘Your country has XX% chance of being attacked’Use different color marker to represent zero casuality

attacksMatch-upsSlide15

THANK YOU

JULY 26 2013 | NATIONAL INSTITUTE OF DESIGN