a picture is worth a thousand words

Visualizations

Gabriel García Márquez

 

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My little tribute to Gabriel García Márquez. In fact I had been working in this illustration for a while but never found time enought to end it. Sadly I think this moment finally arrived.

I count words in 28 Gabriel’s books and did some illustrations with words size proportional to repetition.

Books analyzed: Cien A√Īos De Soledad, Cronica De Una Muerte Anunciada, Del Amor Y Otros Demonios, Doce Cuentos Peregrinos, El Ahogado Mas Hermoso Del Mundo, El Amor En Los Tiempos Del Colera, El Avion De La Bella Durmiente, El Coronel No Tiene Quien Le Escriba, El Oto√Īo Del Patriarca, El Rastro De Tu Sangre En La Nieve, El Ultimo Viaje Del Buque Fantasma, En Agosto Nos Vemos, Espantos De Agosto, La Candida Erendira Y Su Abuela Desalmada, La Hojarasca, La Luz Es Como El Agua, La Santa, La Siesta De Los Martes, Memorias De Mis Putas Tristes, Muerte Constante Mas Alla Del Amor, Noticia De Un Secuestro, Ojos De Perro Azul, Relato De Un Naufrago, Solo Vine A Llamar Por Telefono, Tramontana, Un Dia De Estos, Un Senor Muy Viejo Con Unas Alas Enormes, Vivir Para Contarla.

Most used words (beggining of the list): casa (2986),sent√≠a (1614),noche (1580),tiempo (1527),parec√≠a (1509),muerte (1499),llevaba (1491),hombre (1449),pod√≠a (1411),volvi√≥ (1370),primera (1367),lleg√≥ (1274),mar (1261),encontr√≥ (1242),vida (1232),qued√≥ (1225),sala (1221),pensar (1208),nunca (1111),vivir (1107),mientras (1087),siempre (1087),mano (1082),puerta (1051),tarde (1039),√ļnico (1033),decir (1021),nadie (1019),dej√≥ (1004),madre (993),aquella (990),ni√Īa (983),padre (983),esperaba (978),tratando (973),cuenta (937),hijo (905),√ļltimo (890),buen (888),modo (887),hablar (871),mir√≥ (859),pregunt√≥ (855),empez√≥ (851),conoc√≠a (830),mujer (821),Aureliano (814),termin√≥ (805),amor (799),bien (782),coronel (782),mundo (782),aquel (774),medio (774),pues (753),deb√≠a (728),dio (725),visto (722),dormir (718),ning√ļn (716),embargo (703),orden (703),cuarto (700),pudo (693),calle (692),vio (688),veces (681),cosas (670),mal (661),ojos (659)…

Most used two relevant words combo: Florentino Ariza (565),Fermina Daza (411),Jos√© Arcadio (390),Aureliano Buend√≠a (213),Aureliano Segundo (210),coronel Aureliano (209),dio cuenta (185),Sierva Mar√≠a (183),Arcadio Buend√≠a (173),d√≠a siguiente (169),Santiago Nasar (158),Juvenal Urbino (143),mismo tiempo (139),doctor Urbino (134),muchos a√Īos (125),tres d√≠as (120),dijo ella (119),mucho tiempo (112),muchas veces (112),Nena Daconte (111),doctor Juvenal (109),aquella noche (105),ella misma (102),varias veces (100),Bendici√≥n Alvarado (95),dos a√Īos (93),Billy S√°nchez (89),dijo la mujer (88),Amaranta √örsula (86),poco a poco (86),veinte a√Īos (86),aquel d√≠a (85),Arcadio Segundo (84),dos veces (84),estaba seguro (83),tres meses (79),dos d√≠as (78),dos horas (78),dijo el coronel (76),Pablo Escobar (74),di cuenta (73),Lorenzo Daza (70),Gerineldo M√°rquez (69),llam√≥ la atenci√≥n (69),seis meses (69),media noche (68)…

Nice words by the way!

More Samples:

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Bye Gabo, thank you for doing spanish language even more beautiful.

 


Revit Icon Madness

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Despite of the title., I love Revit. For an architect is the door to BIM world but something is like riding a tiger… beautiful, powerful but you have to take care of his jaw!.

In my regular work I usually look under it’s skin (talking about the API) and amazes how complex and deep it can be. And I think that showing all the icons inside Revit could be a good way to visualize it.

So I extracted 388 icons of Revit 2014 and spread over “revit” name in order to create this illustration. Click to get a high resolution of it!. By the way Revit is registered trademarks of Autodesk, Inc. Hey AU, it’s just a tribute!

I will come back soon with BIM acronyms.


Say My Name

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A tribute to one of my favourites TV shows, Breaking Bad with one of the greatest characters ever, Mr Heisenberg aka Walter White.For this illustration I counted the most commonly used words in the five seasons. also added my favourite quote.

 

Buy print at Society6


  • Everest 236

    Everest01

    There is something within the human being that makes us commit the most incredible crazy things. But I can not stop admiring those who are able to risk everything for a dream. That is probably one of the few things that make us different from other beings with whom we share this planet.

    Knowing that 236 people have died trying to climb Everest makes me feel perplexity and admiration at once. Do you know that many of them will be there forever?, like frozen in time… by a dream.

    This image is a tribute to all of them.

    Buy print at Society6


  • Michael Jordan

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    Air Jordan, Your Royal Airness, Le Wilde Bulle, Sir Altitude, MJ, Ready For Takeoff… yes, he is Michael Jordan.

    Last week I took my daughters to their swimming lessons and I was able to see an amateur basketball game. Not All Stars at all but I love how nice and fair basketball is, and I remembered my school days… These days Jordan was some kind of hero, and I think time proved he is also a great person.

    This one dedicated to my old school friends, Alex Rivas, Antonio Paredes, Pedro Flores, Ricardo Garc√≠a and so many… those with whom I played basketball and shared passion about this fantastic game.

    Buy print at Society6


    Titulares de El Mundo

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    Gracias a la generosa hemeroteca que pone a disposici√≥n de sus lectores ElMundo.es he podido recopilar los titulares de la edici√≥n digital de este peri√≥dico desde el¬† 03/07/2002 al 28/02/2013, un total de 3894 titulares. No ha sido un trabajo especialmente dif√≠cil, tan solo me he limitado a descargar cada p√°gina y analizar el contenido para detectar, con una de mis peque√Īas aplicaciones, la posici√≥n del titular dentro del c√≥digo html.

    Al final de la recopilación de titulares he obtenido un archivo con una estructura similar a esta:

    03/07/2002 Los controladores suizos tenían apagado el aparato que alerta de un inminente choque en el aire
    04/07/2002 Batasuna debe pagar hoy 24 millones de para evitar el embargo dictado por Garzón
    05/07/2002 El FBI identifica a un egipcio como autor del tiroteo en Los √Āngeles contra una l√≠nea israel√≠
    .
    .
    .
    26/02/2013 El indulto a S√°enz fue una ‘clara extralimitaci√≥n’, dice el Tribunal Supremo
    27/02/2013 Rajoy anuncia un d√©ficit del 6,7% el a√Īo pasado
    28/02/2013 El accidente nuclear de Fukushima incrementó los casos de cáncer

    Despu√©s he computado las palabras m√°s repetidas en todos los titulares utilizando mi lematizador. Pego el principio de la lista, el n√ļmero de repeticiones entre par√©ntesis: gobierno (210),zapatero (201),muertos (190),espa√Īa (179),eta (167),detenidos (148),pp (144),pide (126),madrid (124),espa√Īoles (120),eeuu (111),irak (101),rajoy (101),dice (100),psoe (91),atentado (88),israel (87),personas (86),polic√≠a (79),ataque (77),mueren (77),millones (76),primer (74),primera (72),caso (70),heridos (70),llega (67),acuerdo (64),francia (64),sube (64),crisis (63),deja (63),anuncia (60),pa√≠s (59),presidente (59),mata (58),mayor (56),terroristas (56),rescate (55),batasuna (53),onu (52),vasco (52),apoyo (51),rey (50),investigar (49),pol√≠tica (49),ibarretxe (48),ue (48),acusa (47),env√≠a (47),etarras (47),inmigrantes (47),re√ļne (47),reforma (46),√ļltimo (46),paz (44),plan (44),tropas (44),banco (43),juez (43)… hasta 4613 palabras √ļnicas.

    Con ese resultado he generado tanto la imagen que inicia esta entrada, con el logotipo de “el Mundo”, como el retrato de Pedro J Ram√≠rez que viene a continuaci√≥n. En ambos casos el tama√Īo de la palabra representa una mayor repetici√≥n de la misma en los titulares. Las gr√°ficas que se√Īalan el uso de las palabras a lo largo de estos a√Īos agrupan las repeticiones de palabras en bloques de 30 d√≠as.

    Montaje

    Un par de curiosidades que me he encontrado por el camino. En este periodo tan extenso de tiempo da la sensaci√≥n, por la estructura html, que este peri√≥dico digital solo han cambiado tres veces de formato. Las ediciones las tienen distribuidas cada d√≠a entre “ma√Īana, “tarde” y “noche”, siendo las de la ma√Īana las que he recopilado… excepto el d√≠a 02/09/2007 que no hubo edici√≥n de ma√Īana.

    La elección de la imagen de Pedro J quizás parezca algo sombría, pero ya sabéis la tendencia que tengo a imágenes más abstractas. Para compensar pongo a continuación la otra candidata que quedo fuera en la elección final.

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    Como simpre lamento el uso de min√ļsculas, pero mi lematizador las utiliza por defecto y a√ļn tengo que trastear un poco con el c√≥digo para que se respete la capitalizaci√≥n, en el caso de ser mayoritario su uso.

    Ten√≠a la intenci√≥n de comparar estas palabras con los titulares de El Pa√≠s, pero asombrosamente apenas tienen un a√Īo disponible en su hemeroteca :-?. Tambi√©n me habr√≠a gustado agruparlos por tem√°tica, siempre he pensado que hay demasiado deporte en los titulares, pero obtener esa informaci√≥n no es tan f√°cil, quiz√°s si alg√ļn d√≠a El Mundo me echa una mano…


    Tribute to Sean Taylor

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    Anish Patel came to me with this sad but wonderful history about Sean Taylor. After reading about him I decided to create a little tribute to his memory…

    So I took more than 4.300 messages people left here  after his death, people continuous writing even a year after, and counted the most used words of all these messages. Then I spread the words over some different images of Sean. Size of the words represents repetition.

    The beginning of the word list:

    family (3443),sean (3261),god (2436),taylor (1638),may (1478),missed (1315),bless (1261),prayers (1235),love (1054),time (1051),know (875),peace (839),fan (761),redskins (720),rest (718),go (691),heart (677),friends (676),one (659),always (656),great (629),thoughts (610),player (582),play (548),never (540),life (532),watch (508),football (471),rip (451),man (443),memories (427),loss (423),remember (419),comfort (394),now (392),just (372),like (371),young (362),day (361),condolences (341),live (337),best (334),keep (322),person (321),pray (310),see (304),field (302),many (299),game (289),heaven (283),much (280),deepest (277),can (275),forever (273),lord (273),thank (271),goes (265),sympathy (265),sad (258),truly (257),son (243),lost (241),daughter (237),father (235),ever (230),sorry (230),way (229)… and another 3800 words

    And counting two representative words combo:

    god bless (1084),sean taylor (869),may god (765),taylor family (722),rest in peace (556),thoughts and prayers (457),bless you and your family (347),family and friends (294),prayers go (282),redskins fan (215),rip sean (211),prayers are with your family (207),sean’s family (194),go out to the family (193),deepest sympathy (164),never be forgotten (159),heart goes (151),family of sean (148),family in this time (147)…

    Thank you Anish for helping me with this!.

    Here you can find my other favourites:

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    JO-D-121230-SeanTaylor03_low

     


    Mensaje Navidad 2012

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    Ya han paso tres a√Īos desde que elabor√© una visualizaci√≥n relativa a los mensajes de navidad del Rey Juan Carlos y he pensado que ser√≠a interesante actualizarlo incluyendo estos √ļltimos a√Īos de crisis.

    As√≠ que he tomado los 37 mensajes, desde 1975 a 2012, y he analizado las palabras que m√°s ha utilizado para luego representarlas en uno de sus retratos. Como es habitual el tama√Īo de las palabras tiene una correspondencia con el n√ļmero de veces que la palabra aparece en los mensajes.

    He incluido un gr√°fico con la evoluci√≥n de las palabras a lo largo de los a√Īos y la combinaci√≥n de dos palabras representativas. Si lo mir√°is con detalle podr√©is apreciar cosas curiosas, como ciertas palabra son sustituidas por otras o que prioridad tiene ciertos conceptos seg√ļn la etapa pol√≠tica.

    Pero como siempre la interpretación os la dejo a vosotros, lo que yo represento son meros datos impersonales!.

    Ah, y Feliz Navidad!.

    Descargar PDF.


    Isaac Asimov

    I’m really excited with Curiosity and the fact of be able to explore another world in the search of life. It’s incredible how far we can go and how little is that distance comparing with the size of the whole Universe. It remains me something… if humans can do it why others can’t do the same to us.

    And my mind always ends in all those fantastic Isaac Asimov books. He filled my dreams with space travels and incredible adventures, so I think it’s time to do a little tribute.

    For this illustration took more than 170 Asimov books, counted all the words and spread over a portrait of the famous writer. Here is the beginning of the word list: robot (26560),human (14363),derec (10679),something (10167),away (8922),without (7549),another (7212),moment (7005),anything (6686),matter (6652),don (6631),felt (6074),dr (6063),law (6039),around (5992),re (5861),quite (5820),smiled (5550),almost (5468),suppose (5399),reason (5383),suddenly (5150),understand (5095),ariel (4964),arm (4915),planet (4829),space (4785),ll (4733),really (4665),stared (4573),case (4571),mr (4567),believe (4560),however (4546),baley (4544),hunter (4542),least (4242),else (4229),maybe (4170),brain (4106),sir (4083),upon (3948),return (3852),remained (3806),seen (3795),control (3772),seldon (3772),speak (3698),computer (3680),nature (3643),nodded (3633),rather (3631),hari (3629),die (3577),daneel (3553),kill (3535),slowly (3524),wall (3506),sense (3494),wrong (3451),hope (3450)…

    It’s nice to compare it with another great scifi writer, Stanislaw Lem. I will (someday) create an illustration about him but I have some of the work already done. Following you can see the beginning of the most commonly used words in 20 books of Lem: something (1600),without (1346),around (1178),another (1126),human (1055),fiction (984),wall (978),everything (954),suddenly (948),away (924),doctor (924),existence (889),moment (864),engineer (851),cloud (834),return (830),planet (829),nature (812),case (811),already (800),stefan (797),matter (758),anything (739),gregory (735),arms (722),become (714),space (693),remained (691),later (685),understand (672),felt (670),along (654),someone (652),however (644),inside (644),whether (640),reason (635),almost (619),glass (607),window (604),intelligence (603),control (601),least (598),really (598),believe (597),continued (596),information (594),author (588),system (587),thus (587),result (581),quite (580),taken (565),universe (564),therefore (559),robot (558),structure (558),captain (555)…

    Nicely robot is now in 56th position!. Both great but deeply different writers, don’t you think so?.


    Rabindranath Tagore

    Rabindranath Tagore can deeply touch you. His words can magically wake up something inside you… It’s something like the taste of true.

    Very well know by his Music, Art, Theatre, Novels, Stories and Poetry almost all his works focused on religion and racial humiliation related to India. He won the Nobel Prize in Literature in 1913, becoming the first non-European who won it.

    The image was composed using words from the Song Gitanjali. I choose using the original language of the song. Love the shapes of the Bengali characters!.


    Bruce Lee

    And talking of my youth I have to admit I loved Bruce Lee movies. But only recently I discovered the creative side of Bruce Lee. Yes, he was more than a movie actor. Bruce also was film director, screenwriter,  founder of a martial arts movement, philosopher and even wrote poems. He was a creative man with a brilliant mind.

    Because of that, and mostly because he filled my childhood with fun and popcorn, I took more relevant people, actors and legendary figures around Chinese martial arts and spread it over a portrait of Bruce Lee.

    Below another version of the same illustration.


    dIRE sTRAITS

    Buf!, more than two months without posting… It’s has been a challenging time with lot of things around my head. I would liked to return with some new things for you (still working in video and other crazy ideas), but I don’t have time enough. So here I go again with a new illustration, I have dozen unfinished just waiting for…something!.

    Time to talk about the best band ever: Dire Straits. Yeah I’m getting old but the true is that I never tire listening this band songs. Sultan of Swing, Telegraph Road, Tunnel of Love… too many incredible songs. What can I say… Hey Knopfler THANKS!!!

    My first idea was to count the most used words in his lyrics. I took around 50 songs and counted it. The beginning of the list: got (85),come (78),just (76),get (65),like (65),know (64),say (63),now (61),can (54),twisting (42),love (40),go (39),one (39),time (38),baby (37),take (37),away (35),yeah (34),give (33),see (30),way (30),well (30),make (29),pool (28),long (27),night (27),play (26),think (26),never (25),sometimes (25),man (24),around (23),boys (23),day (23)…

    But finally I decided to take the songs names. Remove non significant words and randomly sorted the rest of them. Then I moved “Sultans” to the first position as a tribute to Sultans of Swing :-). Also I found the font used in Alchemy cover and change all the words to inverse case so it looks, more or less, like this mythical album cover. Of course Mark Knopfler is the main subject of this illustration.

    You can also download free wallpaper in different sizes: 640×480 800×600 1024×768 1152×864 1280×800 1280×1024 1366×768 1440×900 1600×1200 1680×1050 1856×1392 1920×1080 1920×1440 2048×1536

    Below you can take a look to some other illustration I finally left behind…


    Lovecraft

    This days we are commemorating the 75th Howard Phillips Lovecraft death anniversary (is he is really death?) and I think it’s the right moment to do a little tribute to the master of horror.

    For this illustration I took the complete works of Lovecraft, from this website, and counted the most used words dropping this list: one (1650),things (1185),old (992),seemed (952),now (892),great (873),time (869),even (831),like (804),night (709),man (691),saw (691),though (675),place (664),must (643),found (602),house (592),came (585),strange (585),might (565),looked (551),whose (540),come (539),certain (533),long (525),upon (518),black (516),dreams (514),never (491),men (490),city (486),dark (484),light (484),made (480),day (477),much (472),thought (464),know (461),still (461),stone (449),years (448),many (446),see (444),beyond (438),two (437),first (434),last (427),well (423),heard (414),world (408),eyes (407),seen (404),fear (401),form (399),far (397),knew (397),sound (397),open (391),yet (388),room (386),street (386),almost (384),back (384),told (382),near (381),way (381),door (378),new (371),walls (371),face (370),horror (369)…

    The font used in the first illustration was “Nightmare 5″ from dafont.com. For the following I used “Lovecraft’s Diary” font with nice alphabet inspired in Necronomicon (I think).

     


    Titanic 100 Years

    There are a lot of people talking again about Titanic, and it’s because next April 14 will be the 100th anniversary of the disaster.

    It‚Äôs amazing to see how people‚Äôs fascination with the Titanic is growing day by day. Facts, legends, mysteries, new theories… everything surrounding Titanic generates a powerful attraction.

    But remember, 1.500 people died that day. And for most of them it was a travel to hope.

    As a tribute to them, and because I can’t escape from Titanic attraction, I spread the names of the 1.500 victims (taken from this website) over a picture and a painting of Titanic.

    You can also download vector pdf version:

    JO-D-120314-Titanic01
    JO-D-120314-Titanic02


    Charles Dickens

    There is a lot of people celebrating two hundred years of Charles Dickens and I also want to do a little tribute to this great English writer.

    I took more than fifty books and novels by Dickens (including the most iconic like Oliver Twist, David Copperfield, Great Expectations, A Tale of Two Cities and A Christmas Carol) and counted the words. I spread the words over two different portraits images.

    The first words in the list. oliver (868),upon (755),replied (548),bumble (399),gentleman (366),lady (359),sikes (357),dear (330),jew (325),fagin (317),sir (314),away (298),another (275),without (253),woman (229),poor (204),window (202),shall (192),heart (185),quite (181),child (177),arm (172),brownlow (167),something (166),returned (164),doctor (161),master (161),manner (160),whether (156),moment (153),observed (152),seen (150),london (149),sat (149),indeed (147),present (147),office (145),rather (145),bill (144),speak (143),expression (139)…

    The illustrations represents the single word counting, but I also counted two and three words combo. If you are curious the three words combo list start with: gentleman in the white waistcoat (13),poor mercantile jack (11),waiter who ought to wait upon (8),great salt lake (7),queer small boy (7),spoken young man (7),well spoken young (7),french flemish country (6),titbull’s aims houses (6)…

    Another portrait.

    Did you know that his life is probably most challenging that any of his novel histories. Visit his Wikipedia article to know more about this incredible man.


    Madonna

    She is more than a singer, probably the smarter and talented artist out there. With more than 300 million records sold worldwide, along 30 years of career, she is probably the most successful woman in the music industry.

    I took more than four hundred Madonna lyrics and counted the most commonly used words. Again Love is the most used. The beginning of the list: love, know, get, can, like, just, want, baby, make, time, go, got, feel, one, take, say, never, come, see, now, waiting, oh, give, cause, heart, think, thing, keep… In the above illustration words size is proportional to it’s repetition. As seed image I took the album cover of “True Blue”.

    Along the years she changed a lot her music and her image but I still love the more “Like a Virgin” (yes I’m getting old!) and I never tire of “Dress You Up” music video. No special effects, no composition, live… pure Madonna!. That’s the reason why I did this second illustration based on one of the video moments.


    11.11.11 happy end of the world

    You know, people are crazy about dates and today, in our calendar, we have funny date numbers: 11/11/11. I though most of the people think about it in a negative way, I mean they could become mad because the end of the world or something… So how to check what people think about it?, this time we are going to use Tweeter.

    I took around 10.000 English tweets which talks about 111111 and counted the words they used. Surprisingly everyone is having fun with this date. Almost nothing about bad news and a lot of funny things like birthdays, parties, weddings and date facts… smart guys!.

    In first illustration I took avatars of all these tweeters and spread them over an image of a render I did with the date numbers (click too see the my original image). In the following I spread the words they used with sizes proportional to it’s repetition. And also you can find two alternative versions.

    Seize the day, have fun!.


    Debate Rajoy – Rubalcaba

    Desde el punto de vista de la visualizaci√≥n de datos los debates pol√≠ticos son muy interesantes ya que a√ļnan concisi√≥n y espontaneidad, aunque efectivamente esto es muy discutible en¬†muchos¬†casos donde se produce una simple sucesi√≥n de mon√≥logos o la mayor parte de los temas¬†est√°n¬†de antemano pactados.

    En esta ocasi√≥n se enfrentaban¬†¬†dos de los candidatos a presidente del gobierno en Espa√Īa (aunque no lo crean hay m√°s) en un formato algo m√°s flexible de lo habitual al que creo que merece la pena ‘echar un vistazo’.

    Gracias la transcripción de debate publicada en eskup.com podemos analizar las palabras más utilizadas por Rajoy y Rubalcaba.

    Rajoy, 1930 palabras utilizadas, las m√°s usadas:¬†hacer (16),porque (13),todos (13),millones (12),econom√≠a (10),empleo (10),debe (8),espa√Īa (8),espa√Īoles (8),gestiona (8),pol√≠tica (8),trabajar (8),desempleo (7),gastar (7),gobierno (7),hablar (7),pensiones (7),p√ļblica (7),puede (7),sanidad (7),yo (7),bien (6),eso (6),est√° (6),estado (6),euros (6),garantizar (6),muchas (6),nuestra (6),pa√≠s (6),sus (6),tener (6),tiene (6),tres (6),vamos (6),voy (6),cosas (5),entre (5),generamos (5),hemos (5),nosotros (5),paga (5),partidas (5),quieren (5),reforma (5),sirve (5),son (5),cinco (4),competentes (4),congela (4),crear (4),cuando (4),dinero (4),gran (4),haber (4),hecho (4),importa (4),impuesto (4),iva (4),laboral (4),mal (4),materia (4),mundo (4),nadie (4),recortes (4),ser (4),soy (4),sube (4),ya (4)…

    Rubalcaba, 2554 palabras utilizadas, las m√°s usadas:¬†hacer (21),p√ļblica (17),programa (16),sanidad (14),habla (13),sobre (13),tiene (13),creo (12),dice (12),est√° (11),trabajadores (11),desempleo (10),eso (10),hemos (10),ley (10),a√Īos (9),quiere (9),se√Īor (9),sistema (9),yo (9),cambiar (8),comunidades (8),dos (8),gustar√≠a (8),pasando (8),pensiones (8),seguro (8),solo (8),tambi√©n (8),bancos (7),diga (7),educaci√≥n (7),empleo (7),privada (7),todos (7),bajar (6),crisis (6),dinero (6),diputaciones (6),econom√≠a (6),espa√Īoles (6),est√°n (6),este (6),financiaci√≥n (6),he (6),hecho (6),lleva (6),muy (6),pregunte (6),problema (6),puede (6),rajoy (6),tenemos (6),ahora (5),ahorro (5),cosa (5),cuando (5),gobierno (5),homosexual (5),mucho (5),ni (5),porque (5),quitar (5),revisar (5),sabe (5),sin (5),aclarado (4),acuerdo (4),algunas (4),cada (4),casas (4),contra (4),debate (4),empresas (4),entre (4),espa√Īa (4),europa (4),hombre (4),igual (4),impuesto (4),llegado (4)…

    En la ilustraci√≥n el retrato de cada uno tiene las palabras que ha dicho, cuanto mayor es el tama√Īo m√°s ha utilizado esa palabra en el debate. Una vez colocadas todas las palabras en su tama√Īo, y para reproducir lo mejor posible el rostro de cada candidato, se han vuelto a reutilizar las mismas pero ya en el menor tama√Īo posible.

    Las fotos están tomadas de la publicidad electoral.


    In Obama’s Words

    This is not my first post about Barack Obama. One of my first words illustration was done in 2009 by using all the Obama speeches in the run for president. Nice words for people, I have to say. He became president in January 2009 and the thing got serious.

    It has been nearly three years and now we can analyze the words he used in his speeches throughout this time. Nicely people at washingtonpost.com has around 800 Obama speeches ready to be read (also, I have taken the title!) . It was not an easy task because I had to isolate Obama words from all the recorded text, most of them contains words from other people and press questions, etc… I sorted all the speeches because I want to know the word’s evolution in time.

    With all these ‘cleaned’ speeches, and using my own tools, I did three different kind of analysis. First I counted the most used words, and also the combo of two and three (significant) words. Also I looked at word’s evolution in time from January 2009 to October 2011.¬† And finally I looked at the words analyzing distance from others.

    Most used single words: going (10817),make (8059),people (7843),can (6912),just (6511),work (6368),know (6165),now (6036),want (6013),get (5620),got (5290),right (5149),years (5148),american (5028),jobs (4789),think (4705),one (4615),time (4520),country (4457),america (4078),states (3879),like (3680),thank (3677),need (3536),help (3491),businesses (3305),things (3275),also (3265),take (3215),way (3199),well (3163),new (3159),sure (3094),say (3064),back (2980),economy (2957),health (2905),come (2898),care (2749),nation (2701),good (2624),united (2565),world (2565),every (2562),everybody (2521),look (2502),families (2469),see (2464),said (2460),tax (2414)…

    Two words combo: make sure (2700),united states (2302),health care (1864),right now (1204),small businesses (1143),american people (1122),thank you very much (840),middle class (766),clean energy (739),tax cuts (693),across the country (680),health insurance (645),young people (629),states of america (621),long term (619),two years (516),$ billion (508),god bless (491),want to thank (484),want to make (481),white house (478),around the world (477),move forward (476),insurance companies (475),men and women (462),years ago (457),st century (452),create jobs (450),last year (435),going to make (401),just want (401),private sector (392),can make (367),wall street (366),work hard (366),every day (357),work together (356),one of the things (352),next year (344),recovery act (341),tax breaks (337)…

    Three words combo: united states of america (618),want to make sure (302),middle class families (292),health care system (251),health care reform (231),small business owners (227),bless the united states (185),god bless the united (183),health care costs (182),since the great depression (169),got to make sure (166),big round of applause (164),people back to work (150),last two years (144),right here in the united states (138),private sector jobs (128),put people back (124),going to make sure (120),president of the united states (117),investment in clean energy (114),give them a big round (110),cost of health care (106),every single day (106),make sure that we’ve got (106),live within our means (103),can make sure (102),giving tax breaks (97),dependence on foreign oil (96)…

    The leading illustration was done by spreading the most commonly used words over a portrait of Barack Obama.

    In the next graph you can see the evolution of the first 100 words in time, and the combo of two and three words. Click to enlarge, but if you want to see a high resolution go to this Zoom.it link.

    The next group of illustrations represents words close to the main word in all the speeches. So the bigger the word is the more times it appears close to the main word. The distance to the main word is the average distance of all the instances of that word. There is no relationship between each illustration, so you have to look at each one as independent single analysis. Main words sorted alphabetically.

    And my word’s trees. The bigger are the most commonly used. You can find the single words tree and the two and three words combo trees. There is a high-res image of the single words tree uploaded at Zoom.it .

     

     

    I personally have drawn interesting conclusions about the use of words. But I prefer that each draw their own conclusions. Here there is only data… in a visual way.


    Dennis Ritchie

    A couple weeks ago Dennis Ritchie pass away. His left was less noisy, just short news in newspapers, but I have to tell you the true: Without Dennis Ritchie there would be no Steve Jobs (of course Jobs was a incredible genius too).

    Dennis created the C programming language and, in collaboration with Ken Thompson, the UNIX operating system. Both pilars of our current digital era.

    I was tempted to spread one of his best know quotes “C has the power of assembly language and the convenience of… assembly language”, witch is quite funny (if you ever try C!). But finally I took¬† √Ālvaro from photoblues suggestion and spread all C functions over a portrait of Dennis. I want to thank √Ālvaro for his help with this illustration.

    Bye dmr, I hope you see you in comp.lang.c.heaven.


    Joaquín Sabina

    Joaqu√≠n Sabina es uno de los artistas espa√Īoles m√°s queridos por el p√ļblico. A su sencillez le acompa√Īan sin duda las mejores letras de canciones escritas en espa√Īol.

    Buscar esas palabras que hacen la magia en sus canciones me ha llevado a analizar el contenido de 233 de sus canciones (todas, o casi) con los siguientes resultados.

    Palabras m√°s usadas: pasado (188),noche (159),quiero (150),llamaba (137),coraz√≥n (127),ruido (118),deja (113),besos (109),cantar (109),amor (107),vida (97),pisa (96),sal (95),vivir (95),nunca (92),mar (83),mal (82),olvido (81),siempre (79),canci√≥n (70),dijo (69),perder (69),acelerador (68),primer (68),muerte (67),casa (64),decir (64),lleva (64),mira (64),madrid (63),mujer (63),hablo (62),llegar (61),busca (59),dice (58),mano (58),ven (58),fin (57),queda (56),ganas (55),espera (54),quer√≠a (54),mejor (53),tarde (53),cama (51),cuento (51),bar (50),buen (50),sue√Īos (50),bien (48),pido (48),corta (47),digo (47),dormir (47),mata (46),mentira (46),nadie (46),negro (46),ojos (46),pon (46),verdad (46),bailar (45),vino (45),volver (45),dame (44),guerra (44),lado (44),mujeres (44),tal (44),veces (44),contar (43),falta (43),ni√Īo (43),quiso (43),media (42),muere (42),pongamos (42),toca (42),boca (41),ciudad (41),calle (40),cielo (40),duro (40),pago (40),aprender (39),escribo (39),igual (39),pregunt√© (39),tren (39),triste (39),viejo (39),loco (38),mientras (38),pan (38),tiempo (38),acaban (37),hombre (37),puerta (37),voy (37),aquel (36),contigo (36)…

    Combinaciones de dos palabras: pisa el acelerador (67),s√≥ngoro cosongo (19),hablo de madrid (17),pongamos que hablo (17),and roll (13),oiga doctor (13),rock and (13),mismo fue lo que yo le pregunt√© (12),pas√°ndolo bien (12),mes de abril (11),noche que yo amo (11),dame tu santa (10),d√≠a siguiente (10),escriben las canciones (10),incluso en estos tiempos (10),qui√©n me ha robado (10),rocanrol de los idiotas (10),santa bendici√≥n (10),nube negra (9),tablas en el ajedrez (9),vecino de arriba (9),abrigo y ven (8),deja el abrigo (8),noche de bodas (8),robado el mes (8),sitio para los dos (8),veinte a√Īos (8)…

    Combinaciones de tres palabras: pongamos que hablo de madrid (17),rock and roll (13),dame tu santa bendición (10),deja el abrigo y ven (8),quién me ha robado el mes (8),robado el mes de abril (8),nada va a pasar (7),va a pasar que no queramos (7),bocata con lima te llevaré (6),lado del telón de acero (6),llevaba medias negras (6),nacemos en cualquier lugar (6),pido primer para desertar (6)

    La imagen represente un retrato de Sabina con las palabras m√°s utilizadas. Cuanto m√°s las ha usado mayor tama√Īo tienen en la ilustraci√≥n.

    Otra versión.


    iLive

    A tribute to Steve Jobs, and incredible man that will iLive forever in our minds.

    For this illustration I took more than 2.500 messages people left after his dead. I spread the most commonly used words over a portrait of Jobs. After a couple different tryous I ended with this abstract illustration. This one is my favorite, so I’m going to follow Steve’s advice choosing the one I like the more instead of the (probably) most popular.

    Most used single words: steve (1026),jobs (813),apple (475),thank (397),world (359),rip (352),one (346),peace (322),family (248),rest (230),technology (230),like (215),people (215),man (214),great (213),products (212),may (208),innovative (202),genius (194),thing (192),just (191),sad (182),missed (180),time (178),live (172),life (153),changed (150),computer (148),brilliant (147),legacy (147),made (136),never (136),read (136),history (129),forever (127),find (124),know (124),many (123),years (122),good (120),iphone (120),day (119),go (119),can (116),future (115),way (112),now (111),visionary (111),love (110),person (110),invent (107),taken (107),work (107),died (105),team (105),make (104),mr (104),level (103),company (102),god (98),think (98),mac (96),use (96),propel (95),tombstone (95),true (95),much (94),ipad (93),say (92),better (91),come (87),even (87),see (87),cancer (86),get (84),vision (78),always (77),really (77),well (77),lost (76),still (76),truly (76),remember (71),respect (71),first (69),friends (69),best (67),created (67),hope (66),ever (65),american (64),news (64),take (64),human (63),ipod (63),today (63),passing (62),inspiration (60),long (57),death (56),lot (56),bless (55),fan (55),want (54),condolences (53),give (52),done (51)…

    Two words comobo: steve jobs (524),rest in peace (183),rip steve (143),one more thing (104),may his family (102),find peace (100),family find (96),jobs and his team (96),forever be our future (95),genius to the level (95),history that have taken (95),legacy will forever (95),level steve (95),propel technology (95),taken genius (95),team did to propel (95),thank you and may (95),tombstone should read (95),thank you steve (85),apple products (83),changed the world (68),sad day (51),god bless (40),condolences to his family (34),peace steve (34),may you rest (33),world a better (32),family and friends (31),rip mr (26),better place (25),thomas edison (24),great man (23),personal computer (23),true visionary (22),world has lost (20),apple fan (19),good apple (19),great innovator (19),thanks for everything (19),apple bites (18),bill gates (18),bites you gave (18),many people (18),one of the greatest (18),steve for the good (18),hard work (15),henry ford (14),hope apple (14),like apple (14),like steve (14),world will miss (14),may god (13),miss you steve (13),mr jobs (13),pancreatic cancer (13),passed away (13),people like (13),sad news (13),changed my life (12),go out to his family (12),just like (12),long time (12),thoughts and prayers (12),american icon (11),apple computer (11),brilliant man (11),changed the way (11)…

    Three words: may his family find (96),steve jobs and his team (96),family find peace (95),genius to the level steve (95),history that have taken genius (95),jobs and his team did to propel (95),legacy will forever be our future (95),level steve jobs (95),taken genius to the level (95),team did to propel technology (95),thank you and may his family (95),rip steve jobs (50),rest in peace steve (31),may he rest in peace (30),world a better place (19),apple bites you gave (18),good apple bites (18),thank you steve jobs (18),steve for the good apple (17),thank you steve for the good (17),condolences to his family and friends (13),peace steve jobs (10),changed the world for the better (9),god bless you and your family (9),make the world a better (9),like steve jobs (8),prayers go out to his family (8),may your soul rest (7),steve jobs was one (7),use apple products (7),go into the history books (6),god bless steve (6),graphical user interface (6),rip mr jobs (6),steve jobs will be missed (6)…

    You can also use it as wallpaper, choose resolution: 640×480 800×600 1024×768 1152×864 1280×800 1280×1024 1366×768 1440×900 1600×1200 1680×1050 1856×1392 1920×1080 1920×1440 2048×1536

    Thank you Steve and Bon Voyage!.

    Buy print at Society6


  • Jim Morrison

    Here we go again. This time we will talk about Jim Morrison, singer and lyricist of The Doors. He is one of the most iconic men in the rock history, but I want to point you to his poet side. Did you know Morrison improvised poetry while the band was playing live?.

    Again I counted the words of all of their lyrics and spread over a well know portrait of Morrison. Bigger is more used. The beggining of the word list and it’s hits: love (96),yeah (61),tell (56),run (51),girl (47),see (47),come (44),know (44),time (43),baby (41),night (41),get (39),back (38),like (37),one (37),please (37),now (36),end (35),little (35),blue (34),people (30),can (27),make (27),waiting (27),change (26),children (25),oh (25),streets (25),town (25),way (25),got (24),live (24),look (24),sun (24),eyes (23),risin’ (23),go (22),right (22),well (22),woman (22),c’mon (21),good (21),man (21),take (21),free (20),moon (20),blood (19),follow (19),friend (19),l’america (19),must (19),ride (19),want (19),break (18),city (18),dead (18),gone (18),lies (18),listen (18),need (18),soon (18),strange (18),world (18),snake (17),summer (17)…

    And again “love” is the first one.

    He used it only in six songs, but “little girl” is the most commonly used two words combo, with 16 hits.

    You can also download a wallpaper version for the following resolutions: 640×480 800×600 1024×768 1152×864 1280×800 1280×1024 1366×768 1440×900 1600×1200 1680×1050 1856×1392 1920×1080 1920×1440 2048×1536

    This is the end Jim… Wild soul we will miss forever.


    Palabra de Zapatero

    Despu√©s de casi 8 a√Īos de gobierno es hora de saber que nos ha venido diciendo Zapatero durante todo este tiempo.

    Realmente la pol√≠tica no es algo que me guste, pero sin embargo es una fuente inagotable de informaci√≥n ‚Äėcuidadosamente dise√Īada‚Äô a la que creo interesante poder ver desde un √°ngulo diferente.

    Así que he analizado 1.152 intervenciones de José Luis Rodríguez Zapatero. Las he tomado de la mejor fuente posible, la web oficial de La Moncloa, las he ordenado cronológicamente y he dejado exclusivamente las palabras que ha dicho el propio Zapatero, eliminado cualquier otra intervención. Dicho de una manera más simple, solo analizo lo que ha salido de su boca.

    Entre estas intervenciones se encuentran discursos, entrevistas, declaraciones, conferencias de prensa e intervenciones parlamentarias.¬† Un batiburrillo que quiz√°s merezca¬† la pena disgregar en el futuro, ya que no es lo mismo una respuesta a un periodista que un discurso preparado con tiempo (obviamente este √ļltimo es mucho m√°s interesante).

    Para el an√°lisis primero he realizado un c√≥mputo real de las palabras con ayuda de un lematizador (que permite sumar palabras bas√°ndose en su ra√≠z, por ejemplo: pa√≠s=pa√≠ses, econ√≥mica=econ√≥micos, etc…). En este proceso se descartan las palabras que no tiene valor significativo, como por ejemplo: el, la, por, etc… Con los datos obtenidos he reconstruido las distintas visualizaciones, siempre utilizando herramientas propias que supongo ya hab√©is visto por esta web.

    Visualizaciones basadas en Retrato. El algoritmo reconstruye el rostro de Zapatero utilizando las palabras con tama√Īos proporcionales a las veces que se repiten. De esta manera las que aparecen m√°s grandes son las m√°s utilizadas en las intervenciones. Esta versi√≥n difiere ligeramente la de la cabecera del post.

    Evoluci√≥n de las palabras cronol√≥gicamente a lo largo de los a√Īos de gobierno. Se analizan palabras individuales y combinaciones de dos y tres palabras significativas. Aqu√≠ se puede ver cuando la utilizaci√≥n de la palabra ‚Äėcrisis‚Äô empieza a ser significativa o como ciertas combinaciones nacen y mueren repentinamente, por ejemplo ‚Äėsistema financiero internacional‚Äô. Ojo, el archivo es de gran tama√Īo, es mejor descargarlo desde “Guardar enlace como…” o tambi√©n puedes verla desde este enlace en Zoom.it.

    En las siguientes visualizaciones se analizan solo las palabras m√°s cercanas a una palabra objetivo y se representan como una nube. El tama√Īo de las palabras es proporcional al n√ļmero de veces que se repite la misma y la distancia al centro es la media de las distancias a dicha palabra de todas las instancias encontradas. ¬ŅQui√©n dir√≠a que la palabra que m√°s aparece junto a ‚Äėfamilia‚Äô es ‚Äėpol√≠tica‚Äô?.

    Por √ļltimo un par de visualizaciones basadas en √°rboles. Estos se reconstruyen utilizando las palabras con un tama√Īo proporcional a las veces que se ha utilizado en las intervenciones. Las m√°s utilizadas son las que se colocan primero formando la base del √°rbol. La forma del √°rbol es b√°sicamente aleatoria.