1. ⁘  ⁘  ⁘
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  3. Abo, Akinori 9
  4. aesthetics 19
  5. agile 30
  6. Albers, Josef 17
  7. Alexander, Christopher 135
  8. Alexander, Scott 5
  9. Allsopp, John 4
  10. Ammer, Ralph 6
  11. Anderson, Gretchen 7
  12. anxiety 9
  13. Appleton, Maggie 5
  14. Aptekar-Cassels, Wesley 5
  15. Arango, Jorge 4
  16. architecture 110
  17. art 86
  18. Asimov, Isaac 5
  19. attention 17
  20. Auping, Michael 6
  21. Aurelius, Marcus 14
  22. Bachelard, Gaston 12
  23. Baker, Nicholson 10
  24. beauty 58
  25. Behrensmeyer, Anna K. 7
  26. Bjarnason, Baldur 8
  27. Blake, William 5
  28. blogging 22
  29. body 11
  30. Boeing, Geoff 7
  31. boredom 9
  32. Botton, Alain de 38
  33. Brand, Stewart 4
  34. Bringhurst, Robert 16
  35. Brooks, Frederick P. 22
  36. Broskoski, Charles 6
  37. brutalism 7
  38. building 16
  39. bureaucracy 12
  40. Burnham, Bo 9
  41. business 15
  42. Byron, Lord 14
  43. Cagan, Marty 8
  44. Calvino, Italo 21
  45. Camus, Albert 13
  46. care 6
  47. Carruth, Shane 15
  48. Cegłowski, Maciej 6
  49. Cervantes, Miguel de 7
  50. chance 11
  51. change 16
  52. Chiang, Ted 4
  53. childhood 6
  54. Chimero, Frank 17
  55. choice 8
  56. cities 51
  57. Clark, Robin 3
  58. Cleary, Thomas 8
  59. Cleary, J.C. 8
  60. code 20
  61. collaboration 18
  62. collections 31
  63. color 23
  64. commonplace 11
  65. communication 31
  66. community 7
  67. complexity 11
  68. connection 24
  69. constraints 25
  70. construction 9
  71. content 9
  72. Corbusier, Le 13
  73. Coyier, Chris 4
  74. craft 66
  75. creativity 59
  76. crime 9
  77. Critchlow, Tom 5
  78. critique 10
  79. Cross, Nigel 12
  80. Cross, Anita Clayburn 10
  81. css 11
  82. culture 13
  83. curiosity 11
  84. cycles 7
  85. Danielewski, Mark Z. 4
  86. darkness 28
  87. Darwin, Will 10
  88. data 8
  89. death 38
  90. Debord, Guy 6
  91. decisions 10
  92. design 131
  93. details 31
  94. Dickinson, Emily 9
  95. Dieste, Eladio 4
  96. discovery 9
  97. doors 7
  98. Dorn, Brandon 11
  99. drawing 23
  100. Drucker, Peter F. 15
  101. Duany, Andres 18
  102. Eatock, Daniel 4
  103. economics 13
  104. efficiency 7
  105. Eisenman, Peter 8
  106. Eliot, T.S. 14
  107. emotion 8
  108. ending 14
  109. engineering 11
  110. Eno, Brian 4
  111. ethics 14
  112. euphony 38
  113. Evans, Benedict 4
  114. evolution 9
  115. experience 14
  116. farming 8
  117. fashion 11
  118. features 25
  119. feedback 6
  120. flaws 10
  121. Flexner, Abraham 8
  122. food 16
  123. form 19
  124. Fowler, Martin 4
  125. Franklin, Ursula M. 30
  126. friendship 6
  127. fun 7
  128. function 31
  129. games 13
  130. gardens 26
  131. Garfield, Emily 4
  132. Garfunkel, Art 6
  133. geography 8
  134. geometry 18
  135. goals 9
  136. Gombrich, E. H. 4
  137. goodness 12
  138. Graham, Paul 37
  139. graphics 13
  140. Greene, Erick 6
  141. Hamming, Richard 45
  142. happiness 17
  143. Harford, Tim 4
  144. Harper, Thomas J. 15
  145. Hayes, Brian 28
  146. heat 7
  147. Heinrich, Bernd 7
  148. Herbert, Frank 4
  149. Heschong, Lisa 27
  150. Hesse, Herman 6
  151. history 13
  152. Hoffman, Yoel 10
  153. Hofstadter, Douglas 6
  154. home 15
  155. Hoy, Amy 4
  156. Hoyt, Ben 5
  157. html 11
  158. Hudlow, Gandalf 4
  159. humanity 16
  160. humor 6
  161. Huxley, Aldous 7
  162. hypermedia 22
  163. i 18
  164. ideas 21
  165. identity 33
  166. images 10
  167. industry 9
  168. information 42
  169. infrastructure 17
  170. innovation 15
  171. interaction 10
  172. interest 10
  173. interfaces 37
  174. intuition 8
  175. invention 10
  176. Irwin, Robert 65
  177. Isaacson, Walter 28
  178. Ishikawa, Sara 33
  179. iteration 13
  180. Ive, Jonathan 6
  181. Jackson, Steven J. 14
  182. Jacobs, Jane 54
  183. Jacobs, Alan 5
  184. Jobs, Steve 20
  185. Jones, Nick 5
  186. Kahn, Louis 4
  187. Kakuzō, Okakura 23
  188. Kaufman, Kenn 4
  189. Keith, Jeremy 6
  190. Keller, Jenny 10
  191. Keqin, Yuanwu 8
  192. Ketheswaran, Pirijan 6
  193. Kingdon, Jonathan 5
  194. Kitching, Roger 7
  195. Klein, Laura 4
  196. Kleon, Austin 13
  197. Klinkenborg, Verlyn 24
  198. Klyn, Dan 20
  199. knowledge 29
  200. Kohlstedt, Kurt 12
  201. Kramer, Karen L. 10
  202. Krishna, Golden 10
  203. Kuma, Kengo 18
  204. language 20
  205. learning 30
  206. life 59
  207. light 31
  208. loneliness 12
  209. love 26
  210. Lovell, Sophie 16
  211. Lupton, Ellen 11
  212. Luu, Dan 8
  213. Lynch, Kevin 12
  214. MacIver, David R. 8
  215. MacWright, Tom 5
  216. Magnus, Margaret 12
  217. making 77
  218. management 14
  219. Manaugh, Geoff 27
  220. Markson, David 16
  221. Mars, Roman 13
  222. material 39
  223. math 16
  224. McCarter, Robert 21
  225. meaning 33
  226. media 16
  227. melancholy 52
  228. memory 29
  229. metaphor 10
  230. metrics 19
  231. microsites 49
  232. Miller, J. Abbott 10
  233. Mills, C. Wright 9
  234. minimalism 10
  235. Miyazaki, Hayao 30
  236. Mod, Craig 15
  237. modularity 6
  238. Mollison, Bill 31
  239. morality 8
  240. Murakami, Haruki 21
  241. music 16
  242. Müller, Boris 7
  243. Naka, Toshiharu 8
  244. names 11
  245. Naskrecki, Piotr 5
  246. nature 51
  247. networks 15
  248. Neustadter, Scott 3
  249. Noessel, Christopher 7
  250. notetaking 35
  251. novelty 11
  252. objects 16
  253. order 10
  254. ornament 9
  255. Orwell, George 7
  256. Ott, Matthias 4
  257. ownership 6
  258. Pallasmaa, Juhani 41
  259. Palmer, John 8
  260. patterns 11
  261. Patton, James L. 9
  262. Pawson, John 21
  263. perception 22
  264. perfection 7
  265. performance 17
  266. Perrine, John D. 9
  267. Petroski, Henry 24
  268. philosophy 6
  269. photography 20
  270. physics 6
  271. Pinker, Steven 8
  272. place 14
  273. planning 15
  274. Plater-Zyberk, Elizabeth 18
  275. poetry 13
  276. politics 9
  277. Pollan, Michael 6
  278. practice 10
  279. problems 31
  280. process 22
  281. production 7
  282. productivity 12
  283. products 21
  284. programming 9
  285. progress 16
  286. Pye, David 42
  287. quality 26
  288. questions 8
  289. Radić, Smiljan 20
  290. Rams, Dieter 16
  291. Rao, Venkatesh 14
  292. reading 16
  293. reality 13
  294. Reichenstein, Oliver 5
  295. religion 11
  296. Rendle, Robin 12
  297. repair 28
  298. research 17
  299. Reveal, James L. 4
  300. Richards, Melanie 3
  301. Richie, Donald 10
  302. Rougeux, Nicholas 4
  303. Rowe, Peter G. 10
  304. Rupert, Dave 4
  305. Ruskin, John 5
  306. Satyal, Parimal 9
  307. Saval, Nikil 13
  308. Sayers, Dorothy 32
  309. Schaller, George B. 7
  310. Schwulst, Laurel 5
  311. science 17
  312. seeing 36
  313. Sennett, Richard 45
  314. senses 11
  315. Seuss, Dr. 14
  316. Shakespeare, William 4
  317. Shorin, Toby 8
  318. silence 9
  319. Silverstein, Murray 33
  320. Simms, Matthew 19
  321. Simon, Paul 6
  322. simplicity 14
  323. Singer, Ryan 12
  324. skill 17
  325. Sloan, Robin 5
  326. Smith, Cyril Stanley 29
  327. Smith, Justin E. H. 6
  328. Smith, Rach 4
  329. socializing 7
  330. society 23
  331. software 68
  332. solitude 12
  333. Somers, James 8
  334. Sorkin, Michael 56
  335. sound 14
  336. space 20
  337. Speck, Jeff 18
  338. spirit 10
  339. streets 10
  340. structure 13
  341. Strunk, William 15
  342. Ström, Matthew 13
  343. style 30
  344. Sun, Chuánqí 15
  345. symbols 12
  346. systems 18
  347. Sōetsu, Yanagi 34
  348. Sōseki, Natsume 8
  349. Tanaka, Tomoyuki 9
  350. Tanizaki, Jun'ichirō 15
  351. taste 10
  352. Taylor, Dorian 16
  353. teaching 21
  354. teamwork 17
  355. technology 41
  356. texture 7
  357. thinking 31
  358. Thoreau, Henry David 8
  359. time 54
  360. Tolkien, J.R.R. 6
  361. tools 32
  362. touch 8
  363. transportation 16
  364. Trombley, Nick 44
  365. truth 15
  366. Tufte, Edward 31
  367. Turrell, James 6
  368. typography 25
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  370. urbanism 68
  371. ux 100
  372. Victor, Bret 9
  373. Viollet-le-Duc, Eugène 4
  374. vision 7
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  376. Voltaire 4
  377. wabi-sabi 8
  378. walking 23
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data

Close
  • 46 data quality issues in spreadsheets

    614497C6-4CA5-406D-991D-915A9F280B06_1_201_a.jpg
    Edward Tufte, Seeing With Fresh Eyes
    • data
  • INSUFFICIENT DATA FOR MEANINGFUL ANSWER.

    Isaac Asimov, The Last Question
    • data
    • questions
  • The Eyes Have It

    A Research Paper by Ben Shneiderman
    www.cs.umd.edu
    1. ​​The Visual Information Seeking Mantra​​
    • visualization
    • information
    • data

    A Task by Data Type Taxonomy for Information Visualizations.

  • The trend is your friend 'til the bend at the end

    A Fragment by Noah Smith
    noahpinion.substack.com
    Image from noahpinion.substack.com on 2021-11-10 at 6.32.26 AM.jpeg

    In the past, GDP and resources use have always been tightly correlated. But this is just drawing a line through some data — it’s not based on any deep theory. And in fact, these correlations can change very quickly. Just as one example, here’s energy use versus GDP since 1949.

    If you were sitting in 1970, you could look at this curve and claim, very confidently, that economic growth requires concomitant increases in energy use. And you’d be wrong. Because the trend is your friend til the bend at the end.

    • data
    • statistics
    • prediction
    • economics
  • Embracing Asymmetrical Design

    An Article by Ben Nadel
    www.bennadel.com

    Humans love symmetry. We find symmetry to be very attractive. Our brains may even be hard-wired through evolution to process symmetrical data more efficiently. So, it's no surprise that, as designers, we try to build symmetry into our product interfaces and layouts. It makes them feel very pleasant to look at.

    Unfortunately, data is not symmetrical…Once you release a product into "the real world", and users start to enter "real world data" into it, you immediately see that asymmetrical data, shoe-horned into a symmetrical design, can start to look terrible.

    To fix this, we need to lean into an asymmetric reality. We need to embrace the fact that data is asymmetric and we need to design user interfaces that can expand and contract to work with the asymmetry, not against it. To borrow from Bruce Lee, we need to build user interfaces that act more like water:

    “You must be shapeless, formless, like water. When you pour water in a cup, it becomes the cup. When you pour water in a bottle, it becomes the bottle. When you pour water in a teapot, it becomes the teapot. Water can drip and it can crash. Become like water my friend.” — Bruce Lee

    1. ​​The pernicious issue with pangrams​​
    2. ​​Changing Our Development Mindset​​
    • data
    • interfaces
  • Goodbye, Google

    An Article by Douglas Bowman
    stopdesign.com

    Without a person at (or near) the helm who thoroughly understands the principles and elements of Design, a company eventually runs out of reasons for design decisions. With every new design decision, critics cry foul. Without conviction, doubt creeps in. Instincts fail. “Is this the right move?” When a company is filled with engineers, it turns to engineering to solve problems. Reduce each decision to a simple logic problem. Remove all subjectivity and just look at the data. Data in your favor? Ok, launch it. Data shows negative effects? Back to the drawing board. And that data eventually becomes a crutch for every decision, paralyzing the company and preventing it from making any daring design decisions.

    Yes, it’s true that a team at Google couldn’t decide between two blues, so they’re testing 41 shades between each blue to see which one performs better. I had a recent debate over whether a border should be 3, 4 or 5 pixels wide, and was asked to prove my case. I can’t operate in an environment like that. I’ve grown tired of debating such minuscule design decisions. There are more exciting design problems in this world to tackle.

    • design
    • decisions
    • data
  • The Subtleties of Color

    A Series by Robert Simmon
    earthobservatory.nasa.gov
    Image from earthobservatory.nasa.gov on 2021-01-19 at 9.58.34 AM.jpeg

    The use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu (probably either a grayscale ramp or a rainbow), set start and end points, press “apply,” and you’re done. Although we all know it’s not that simple, that’s often how colors are chosen in the real world. As a result, many visualizations fail to represent the underlying data as well as they could.

    • color
    • visualization
    • data
  • Data Farming

    A Research Paper
    onlinelibrary.wiley.com

    Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.

    Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.

    1. ​​An information service society​​
    • farming
    • data
    • simulation

    See also: Data Farming on Wikipedia.


See also:
  1. visualization
  2. questions
  3. information
  4. farming
  5. simulation
  6. color
  7. design
  8. decisions
  9. interfaces
  10. statistics
  11. prediction
  12. economics
  1. Isaac Asimov
  2. Ben Shneiderman
  3. Robert Simmon
  4. Douglas Bowman
  5. Ben Nadel
  6. Edward Tufte
  7. Noah Smith