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...... Data Visualization
Dicko Ahmadou
Dakar Libre
Dicko Ahmadou (Dakar-Libre) Data Visualization 1 / 17
Background
Déluge des données (twier, facebook, etc.)
Le challenge en faire de l’information et prendre des décisions
plusieurs options : du text brut, des tableaux ou des graphiques
Dicko Ahmadou (Dakar-Libre) Data Visualization 2 / 17
Nature des informations
Des informations quantitatives
▶ âge, taille, revenue, etc.
Des données dites qualitatives
▶ genre, condition socio professionnelle, groupe ethnique, etc.
Dicko Ahmadou (Dakar-Libre) Data Visualization 3 / 17
Méthodes par types données
Pour chaque type de données il existe des visualisations
appropriée
Dicko Ahmadou (Dakar-Libre) Data Visualization 4 / 17
Comment représenter des données qualitatives
Ali
Binta
Marie
Babacar
Laure
Dicko Ahmadou (Dakar-Libre) Data Visualization 5 / 17
Comment représenter des données qualitatives
Ali Binta Marie Babacar Laure
0
5
10
15
20
Dicko Ahmadou (Dakar-Libre) Data Visualization 6 / 17
Comment représenter des données qualitatives
Ali
Binta
Marie
Babacar
Laure
q
q
q
q
q
18 19 20 21 22 23
taille
Dicko Ahmadou (Dakar-Libre) Data Visualization 7 / 17
Comment représenter des données quantitatives
0%
2%
4%
6%
0 20 40 60
Prix des voitures (en milliers de $)
fréquence
Dicko Ahmadou (Dakar-Libre) Data Visualization 8 / 17
Comment mere en évidence des relations
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
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q
q
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q
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q
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q
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q
q
q
q
q
q
q
q
q
qq
q
q
q
q
q
q
q
20
40
60
100 200 300
Puissance (ch)
Prix(millierde$)
Dicko Ahmadou (Dakar-Libre) Data Visualization 9 / 17
Comment mere en évidence des relations
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
q
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q
q
q
q
q
q
q
q
q
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q
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qq
q
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q
q
q
q
q
q
q
q
qq
q
q
q
q
q
q
q
20
40
60
100 200 300
Puissance (ch)
Prix(millierde$)
Dicko Ahmadou (Dakar-Libre) Data Visualization 10 / 17
Comment mere en évidence des relations
q
q
q
q
q
q
20
40
60
USA non−USA
Origine de la voiture (US/non US)
Prix(millierde$)
Dicko Ahmadou (Dakar-Libre) Data Visualization 11 / 17
Vous choisissez laquelle ?
cyl puis lon lar poids vitesse finition prix
ALFASUD-TI-1350 1350 79 393 161 870 165 B 30570
AUDI-100-L 1588 85 468 177 1110 160 TB 39990
SIMCA-1307-GLS 1294 68 424 168 1050 152 M 29600
CITROEN-GS-CLUB 1222 59 412 161 930 151 M 28250
FIAT-132-1600GLS 1585 98 439 164 1105 165 B 34900
LANCIA-BETA-1300 1297 82 429 169 1080 160 TB 35480
PEUGEOT-504 1796 79 449 169 1160 154 B 32300
RENAULT-16-TL 1565 55 424 163 1010 140 B 32000
RENAULT-30-TS 2664 128 452 173 1320 180 TB 47700
TOYOTA-COROLLA 1166 55 399 157 815 140 M 26540
ALFETTA-1.66 1570 109 428 162 1060 175 TB 42395
PRINCESS-1800-HL 1798 82 445 172 1160 158 B 33990
DATSUN-200L 1998 115 469 169 1370 160 TB 43980
TAUNUS-2000-GL 1993 98 438 170 1080 167 B 35010
RANCHO 1442 80 431 166 1129 144 TB 39450
Dicko Ahmadou (Dakar-Libre) Data Visualization 12 / 17
Et maintenant…
ALFASUD−TI−1350
AUDI−100−L
SIMCA−1307−GLS
CITROEN−GS−CLUB
FIAT−132−1600GLS
LANCIA−BETA−1300
PEUGEOT−504
RENAULT−16−TL
RENAULT−30−TS
TOYOTA−COROLLA
ALFETTA−1.66
PRINCESS−1800−HL
DATSUN−200L
TAUNUS−2000−GL
RANCHO
MAZDA−9295
OPEL−REKORD−L
LADA−1300
cyl
puis
lon
lar
poids
vitesse
Dicko Ahmadou (Dakar-Libre) Data Visualization 13 / 17
Les données sont rarement ”clean”
Dicko Ahmadou (Dakar-Libre) Data Visualization 14 / 17
Mais avec un peu de courage…
45
50
55
60
65
70
75
80
85
Dicko Ahmadou (Dakar-Libre) Data Visualization 15 / 17
Outils (gratuits) pour la visualisation
R (et principalement ggplot2) : non interactif
D3.js (et principalement vega) : interactif
Dicko Ahmadou (Dakar-Libre) Data Visualization 16 / 17
Un peu de lecture
The visual display of quantitative information de Edward Tue
The Elements of graphing data de William S. Cleveland
The grammar of mathematical graphics de Leland Wilkison
Dicko Ahmadou (Dakar-Libre) Data Visualization 17 / 17

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Data viz with R

  • 1. . ...... Data Visualization Dicko Ahmadou Dakar Libre Dicko Ahmadou (Dakar-Libre) Data Visualization 1 / 17
  • 2. Background Déluge des données (twier, facebook, etc.) Le challenge en faire de l’information et prendre des décisions plusieurs options : du text brut, des tableaux ou des graphiques Dicko Ahmadou (Dakar-Libre) Data Visualization 2 / 17
  • 3. Nature des informations Des informations quantitatives ▶ âge, taille, revenue, etc. Des données dites qualitatives ▶ genre, condition socio professionnelle, groupe ethnique, etc. Dicko Ahmadou (Dakar-Libre) Data Visualization 3 / 17
  • 4. Méthodes par types données Pour chaque type de données il existe des visualisations appropriée Dicko Ahmadou (Dakar-Libre) Data Visualization 4 / 17
  • 5. Comment représenter des données qualitatives Ali Binta Marie Babacar Laure Dicko Ahmadou (Dakar-Libre) Data Visualization 5 / 17
  • 6. Comment représenter des données qualitatives Ali Binta Marie Babacar Laure 0 5 10 15 20 Dicko Ahmadou (Dakar-Libre) Data Visualization 6 / 17
  • 7. Comment représenter des données qualitatives Ali Binta Marie Babacar Laure q q q q q 18 19 20 21 22 23 taille Dicko Ahmadou (Dakar-Libre) Data Visualization 7 / 17
  • 8. Comment représenter des données quantitatives 0% 2% 4% 6% 0 20 40 60 Prix des voitures (en milliers de $) fréquence Dicko Ahmadou (Dakar-Libre) Data Visualization 8 / 17
  • 9. Comment mere en évidence des relations q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q q q 20 40 60 100 200 300 Puissance (ch) Prix(millierde$) Dicko Ahmadou (Dakar-Libre) Data Visualization 9 / 17
  • 10. Comment mere en évidence des relations q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q q q 20 40 60 100 200 300 Puissance (ch) Prix(millierde$) Dicko Ahmadou (Dakar-Libre) Data Visualization 10 / 17
  • 11. Comment mere en évidence des relations q q q q q q 20 40 60 USA non−USA Origine de la voiture (US/non US) Prix(millierde$) Dicko Ahmadou (Dakar-Libre) Data Visualization 11 / 17
  • 12. Vous choisissez laquelle ? cyl puis lon lar poids vitesse finition prix ALFASUD-TI-1350 1350 79 393 161 870 165 B 30570 AUDI-100-L 1588 85 468 177 1110 160 TB 39990 SIMCA-1307-GLS 1294 68 424 168 1050 152 M 29600 CITROEN-GS-CLUB 1222 59 412 161 930 151 M 28250 FIAT-132-1600GLS 1585 98 439 164 1105 165 B 34900 LANCIA-BETA-1300 1297 82 429 169 1080 160 TB 35480 PEUGEOT-504 1796 79 449 169 1160 154 B 32300 RENAULT-16-TL 1565 55 424 163 1010 140 B 32000 RENAULT-30-TS 2664 128 452 173 1320 180 TB 47700 TOYOTA-COROLLA 1166 55 399 157 815 140 M 26540 ALFETTA-1.66 1570 109 428 162 1060 175 TB 42395 PRINCESS-1800-HL 1798 82 445 172 1160 158 B 33990 DATSUN-200L 1998 115 469 169 1370 160 TB 43980 TAUNUS-2000-GL 1993 98 438 170 1080 167 B 35010 RANCHO 1442 80 431 166 1129 144 TB 39450 Dicko Ahmadou (Dakar-Libre) Data Visualization 12 / 17
  • 14. Les données sont rarement ”clean” Dicko Ahmadou (Dakar-Libre) Data Visualization 14 / 17
  • 15. Mais avec un peu de courage… 45 50 55 60 65 70 75 80 85 Dicko Ahmadou (Dakar-Libre) Data Visualization 15 / 17
  • 16. Outils (gratuits) pour la visualisation R (et principalement ggplot2) : non interactif D3.js (et principalement vega) : interactif Dicko Ahmadou (Dakar-Libre) Data Visualization 16 / 17
  • 17. Un peu de lecture The visual display of quantitative information de Edward Tue The Elements of graphing data de William S. Cleveland The grammar of mathematical graphics de Leland Wilkison Dicko Ahmadou (Dakar-Libre) Data Visualization 17 / 17