This is my presentation for the Tableau Zen Masters on Tour. It talks about the importance of colour in data visualisation. Some of the pitfalls of choosing the wrong colour and tips for creating beautiful and insightful visuals.

1. 1
Zen$Masters$
on$Tour$
#ZensOnTour$

2. 2
Zen$Masters$
on$Tour$

3. 3
What%is%a%Tableau%Zen%Master?

4. 4
Who$are$the$Tableau$Zen$Masters?

5. 5
Agenda'
#ZensOnTour'
• 2.3043.30' 'Zen'Master'keynote:''
' ' ' 'Ma:'Francis'
• 3.3044.00' 'Q+A'
• 446' ' ' 'Networking'drinks'

6. 6
New$to$Tableau?$
#ZensOnTour$
h4p://tabso8.co/zentrial$$

8. FIFTY SHADES
OF DATA

9. Warning:
The following presentation contains flashing images*
*Well I have got to get through 300+ slides in 45 minutes

10. Viewer discretion is
advised

13. 1665

16. 16

20. Isaac
Newton
Isaac
Newton

29. added
colour

30. White

33. 2nd prism

35. not adding
colour

36. refraction

37. wavelength

38. SPECTRUMSPECTRUM

39. “The original or primary colours
are Red, Yellow, Green, Blew, & a
violet purple; together with
Orang, Indico, & an indefinite
varietie of intemediate
gradations”

41. why 7?

43. indigo

46. 46

47. legacy

49. colour
theory

51. 51

52. I’m MattI’m Matt

53. Zen Master

54. my day job…my day job…

55. welcomewelcome

56. welcome
trust
welcome
trust

57. welcome
trust
sanger
welcome
trust
sanger

58. welcome
trust
sanger
institute
welcome
trust
sanger
institute

59. My OfficesMy Offices

60. My OfficesMy Offices
Yes i have 2Yes I Have 2

62. biologybiology

64. chemistrychemistry

66. engineeringengineering

68. electronicselectronics

70. datadata

71. Lots of dataLots of data

77. 77
by nightby night

78. blog

79. wannabedatarockstar.blogspot.com

80. Tweet

81. a lot

82. @Matt_Francis

84. You may remember
me from such videos
as…

88. And

89. 89

90. Tableau
Public

92. today I’m going to give
you my guide

93. colourcolour

94. 94

101. 101

102. improve
aesthetics

103. catch peoples
attention

104. 104

105. improve
understanding

107. theory

108. practical

109. pick the
right colours

110. data -> viz type

111. data -> colours

115. 115
perceptionperception

116. 116
associationsassociations

117. 117
highlightinghighlighting

118. emotionsemotions

119. themesthemes

122. COLOUR
THEORY
COLOUR
THEORY

123. 3

124. primary

125. red
blueyellow

126. “fundamental”

127. can’t be
made by
mixing

128. Primary
+
primary

129. 3

130. secondary

131. green
purpleorange

132. Primary
+
secondary

133. 6

134. tertiary

135. yellow-orange
red-orange red-purple
blue-greenyellow-green
blue-purple

136. pick
colours

137. colour
harmony

138. pleasing
to the eye

139. balance

140. chaotic

141. engaging

142. boring

143. 143

144. create
harmony

145. complementary

146. opposite
colours

149. High Contrast

150. COLOURS POP

155. warning

156. a
156

157. once
seen

158. cannot be
unseen

159. 159
everywhereeverywhere

161. Why?

162. most films
contain
humans

163. skin tone

167. shadows

168. blue

169. highlights

170. orange

171. opposing
concepts

176. movie
posters

184. 184

186. default
colours

188. great for
showing
differences

189. how do we
pick colours?

190. COLOUR
PERCEPTION
COLOUR
PERCEPTION

191. 191

192. Quiz Time

194. black
blue?

195. white
gold?

196. Another
Question

197. what was the
colour of the
gorilla’s tie?

199. #1 rule
when using
colour

200. Never
distract

201. Always
enhance

202. improve
esthetics

203. improve
understanding

204. what does the
dress tell us?

205. people see
colours
differently

206. cannot assume

207. Colour
blindness

208. red
green

209. 1 in 10

210. Quiz Time

219. the BIGQuestion

220. can you use
red/green?

222. NO!!!

223. NEVER!!!

224. Worse thaN
Pie Charts!!!

226. Stephanie
Evergreen

228. Bad

229. good

234. if the viz is
just for you

235. limited
audience

236. if its going
to be public

238. Emily kundEmily kund

239. http://tinyurl.com/seeallthedata

241. use high
contrast
shades

242. example in a
map

245. www.vischeck.com

248. NOT with a
colour range

249. 249

250. 250

251. 251

252. 252

253. only using
discrete colours

254. Red
green

256. COLOUR
ASSOCIATIONS
COLOUR
ASSOCIATIONS

257. 257

260. 260

261. 261

262. 262
fruityfruity

263. 263
berriesberries

264. 264
full
bodied
full
bodied

265. Red Wine

266. decided
before they
tasted

267. we can use
this in our
data viz

268. Quiz
Time

269. 269

270. 270
politics?politics?

271. 271

272. 272

273. 273

274. map + blue + red = political

275. map + blue + red = political

276. map + blue + red = political

277. map + blue + red = political

278. colour is one
of the first
things we see

279. assumptions

280. 280

282. BAD

283. negative

284. DANGER

287. 287

289. 289

290. 290

291. 291

292. COLOUR
HIGHLIGHTING
COLOUR
HIGHLIGHTING

293. 293

294. biased
highlighting

295. impartial
highlighting

296. 296

297. How do Europe's all-
time top goalscorers
compare to Zlatan
Ibrahimovic?

298. How do Europe's all-
time top goalscorers
compare to Zlatan
Ibrahimovic?

299. 299

300. 300

301. 301
EMOTIONSEMOTIONS

303. 303

304. 304

305. 305

306. 306

307. COLOUR
THEMES
COLOUR
THEMES

309. 309

310. 310

311. 311

313. 313

315. tabpal.co

316. interworks
colour tool

320. 90%

321. 10%

322. 322

323. 323

324. 324

325. 325

326. 326

328. www.wannabedatarockstar.blogspot.com
@Matt_Francis
http://tinyurl.com/udemyzensontour