Or the Bull Kills You Author: Jason Webster

An accomplished debut mystery set in the high-stakes and decidedly murky world of bullfighting in Valencia, Spain "Either you kill the bull, or the bull kills you." Chief Inspector Max C�mara thinks in proverbs,and he hates one thing above all: bullfighting. One hot afternoon in Valencia, however, he has to stand in for his boss, judging a festival corrida starring Spain's most famous young matador. That night, he is back in the bullring, and what he finds on the blood-stained sand shocks the city of Valencia to its core. C�mara is roped into investigating a grisly murder while dealing with violent shadows from his own past, as well as confronting the suspiciousness of the bullfighting community and the stonewalling of local politicians in full electoral campaign. To top it all, Fallas, the loudest fiesta in the country, has just got underway. For C�mara, it seems his problems have only just begun... Publisher: St. Martin's Press Category: Fiction / Mystery & Detective / Police Procedural • • ISBN: 9781429949859

Words: 105,009

Things: 132

Verbs 28.0%

Unique Words: 5,811

Adult Reading Time: 7:00

Adjectives 10.8%

Avg Sentence (words): 14.58

Sentiment: -0.006

Adverbs 6.2%

Avg Word (chars): 4.05

Intensity: 0.073

Other 4.0%

Chapters: 39

Reading Level: 6.0

Profanity: 37

Paragraphs: 3,497

Complexity Index: 77

Explicit Activity: 70

People: 202

SAT Words: 599

Violence: 131

Places: 101

Nouns 50.9%

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© St. Martin's Press

Interesting Facts and Data Visualizations Nouns Nouns in the book are scored based on frequency within the book, global frequency, part of speech, named entities, and other special rules. The top words displayed are sized by their relative weight.

aguado air alicia almudena anyone anything arm bar barman bit

blanco body bull bullfight bullfighter bullfighting

bullring call cano car carmen case chief cigarette city corner couple course crowd day death door end eye face fallas family finger floor flores foot front glass ground group hair

hand head hilario huerta image inspector jorge kind life light look luna man mind moment moreno morning mouth murder night nothing paco pardo part pastor people phone place point police policeman right ring roberto room round ruiz shoulder

side someone something sound street table thing time

torres valencia voice wall window woman world year Verbs Verbs in the book are scored based on frequency within the book, global frequency, part of speech, named entities, and other special rules. The top verbs displayed are sized by their relative weight.

allow appear ask become begin break bring call carry cast catch

check close

come continue cut decide disappear drop expect explain

face fall feel fight fill find finish follow

head hear help hold join keep kill lift listen

give glance grab happen

know lead lean leave let

look lose manage mean move need nod notice open

pass pause pick place point press pull push raise reach read realise remember run seem set shake show sit slip smile speak stand

stare start stay step stop suppose talk tell think throw try

turn understand use wait walk want watch wear wonder work Adjectives Adjectives in the book are scored based on frequency within the book, global frequency, part of speech, named entities, and other special rules. The top adjectives displayed are sized by their relative weight.

able alive ancient aware bad best better big black bloody blue bright brown busy certain clean clear close closer cold dark dead

deep different difficult early empty enough entire familiar far final fine flat free fresh front fucking full gay good great greatest green grey happy hard heavy hot important large

last

late lighter little local low main mobile much municipal naked national nearby

next open outside past physical possible

powerful public quick real red right several sharp shiny short silent

small spanish straight strange strong stupid sure tight tiny top © St. Martin's Press traditional true usual white whole wrong yellow young

younger

Interesting Facts and Data Visualizations Adverbs Adverbs in the book are scored based on frequency within the book, global frequency, part of speech, named entities, and other special rules. The top adverbs displayed are sized by their relative weight.

actually afterwards ago ahead almost alone along already

always anyway apart apparently around away badly barely behind better brightly carefully certainly clearly close closely closer completely deeply earlier early easily

else elsewhere enough especially eventually exactly far

fast finally firmly forward forwards fully hard hardly heavily immediately

inside instead instinctively late later left little longer louder maybe momentarily mostly much nearby normally occasionally officially often otherwise outside

partially particularly

perhaps pretty probably quickly quite rather

really recently regularly relatively right sharply simply slightly slowly somehow sometimes somewhere soon sooner straight strongly suddenly

though tightly together twice usually virtually whenever yet

SAT Words SAT words occurring in the book.

abdomen absence absorb accept account ache affect ambulance arrange audible aurora

believe butt cabinet campaign caricature check colleague confident control corpse course demonstrator difference disappear discover discreet divert dominate effect element emerge enormous exhale existence exit

expect

explosion finally forehead foreign gesture glimpse ground guess guy incident

inspector instant interrupt involve judicial labyrinth later leaflet massive material metal microphone ministry minute mouthful municipal mutilate necessary occasion opinion opposite overweight packet panic perform

perhaps personal piece position possible prefer preparation proverb quarter quiet quite reaction ready refer reflection sensation

sense separate

sergeant service shuffle similar slight sol spectator successful surround transfer

People Trajectory's natural language analysis tools process language text input, transforming each sentence into data that can be used for search and analysis. Named entities including People, Places and Things are identified. The top People displayed are sized by their relative occurrence.

Aguado Alejandro Alejandro Cano Alice Alicia Alicia Beneyto Almudena Angel Moreno Antiguo Reino Antonio Aguado Antonio de Mora Bautista Beltrán

Caballero Cano Carlos III Carmen Carmen Luna Castro Cyril

Blanco Blasco Ibáñez

Cámara

Dario

Quintero Delgado Ducados Emilia Emilia Delgado Enric Beltrán Enrique Morente Fallas Federico García Lorca Fernando

Flores Francisco Francisco Ramírez Franco Gallego Gallo Guillén de

Castro Gómez Hilario Homicidios Cámara

Huerta Ibarra Irene Ortiz Jason Webster Jaume

Montesa Javier Javier Flores Jefatura Joder Jordi Caballero Jorge Jorge Blanco Jorge Blanco Sol José Ortega Juan Carlos Juanma Juanma Ruiz Pastor Maldonado Margarita Margarita de la Fuente

Marta Marta Díaz Max Max Cámara Mayoress Delgado Montesa Mora Morales Moreno

Paco Paco Ramírez Palacios Para Montse Pardo Pilar Quintero Rafael Gómez Ramírez Roberto Roberto Ramírez Ruiz Ruiz Pastor Salvador Abril San Pedro Regalado Municipales

Santiago Rodríguez Señor Aguado Señor Flores Señor Ruiz Pastor Señora Blanco Susana

Sánchez Teniente Castro

Torres Vargas Vicente Pardo Victoriano de la Serna

© St. Martin's Press

Interesting Facts and Data Visualizations Places Trajectory's natural language analysis tools process language text input, transforming each sentence into data that can be used for search and analysis. Named entities including People, Places and Things are identified. The top Places displayed are sized by their relative occurrence.

Agua de Valencia

Albacete Albufera Albufera Wetland Almudena America Aurora Palacios

Blanco Blasco Ibáñez Avenue Britain Cafetín Calle Castellón Calle Puerto Rico Calle Ruzafa Camarón de la Isla Caribbean Carmen Castellón Científica Cretan Crete Denia

Cámara

Ducados El Cabanyal El Caso Blanco El Diario El Diario de Valencia El Palmar El

País El Perellonet El Perelló Emilia Enfermería Entrevista Europe

France Geryon Hamburg

Fallas Flores Formentera

Homicidios Ibarra Iberian Ibiza Jefatura Jordana Gate La Virgen

de los Desamparados Latin America Les Gavines London Lonja Los Toros Maldonado Manila Marrakesh Marta Nacionales

Madrid Malaga

Mediterranean Mexico Miami Montero Montgó N.Y.

New York Pamplona Plaza del Ayuntamiento Policía Científica Portugal Puerta

Puerta Grande Puerto Banús Rome Ruiz Pastor Sagunto Salud San Martín San Miguel Santa Catalina Seat Seat Ibiza Seville Sierra Alacaraz Sierra Alcaraz Sombra Spanish Mountain Torres Torrijos Turia US

Valencia

Spain Spanish

Valencia City Vienna Webpol

Xàtiva

Things Trajectory's natural language analysis tools process language text input, transforming each sentence into data that can be used for search and analysis. Named entities including People, Places and Things are identified. The top Things displayed are sized by their relative occurrence.

A. Open Agua de Valencia Albacete American Anti-Bullfighting League

Anti-Taurino

League Arab Argentinian Audi Ayuntamiento Bar Los Toros Barcelona Borgias Bravo ` Brave

Bull Kills You

Bulls Burladero Entrance/exit Buscáis CNN Cabrón

Slang Callejón Passageway Carmen Castilian Castilian Spanish Chapero Slang Chatto & Windus

Chinese Civil War Coliseum-like Cremà Cuadrilla Cuatro Cup Cámara DNA Egyptians El Diario English Estación del Norte European Grand Prix Fallas Fiambre Slang Francoist French Generalitat German Germans Gilipollas Slang Golden Age Greek Greeks Grupo Especial de Operaciones Grupo de Homicidios Guardia Civil Habanos Heroic Age Instituto de Medicina Legal Interior Italian Italians Japanese Juez de Guardia League Mahou Marlboros Marrón Slang Mediterranean Mercedes Mesopotamians Minoan

Moroccan Municipal

Municipales Muslim National Police Nit de Foc No Smoking Opus Dei Plain-clothed Policía Local

Policía Nacional Raman Real Madrid Red Cross Red Indian Rizla Roman Empire Satan Spaniard

Spanish Spanish Civil War Unidad de Criminalistas Valencia Valencia Cuerpo Nacional Valencia-based

Sentiment Words are scored based on their subjective meaning. "Positive" words range on a positive scale; "Negative" words range on a negative scale. Trajectory's Analytics Engine computes the book's sentiment curve across sentence, paragraph, chapter and entire book. This sentiment "fingerprint" at an aggregate level yields a unique picture of the book.

Valencian Valencians ` Open of Fire of Reflection

 Compare this book to another... Or the Bull Kills You 0.005 0.000 -0.005 -0.010 -0.015 -0.020 -0.025 -0.030 0

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Interesting Facts and Data Visualizations Intensity Words are scored based on their subjective meaning. Both "Positive" and "Negative" words range on a positive scale. Trajectory's Analytics Engine computes the book's intensity curve across sentence, paragraph, chapter and entire book. This intensity "fingerprint" at an aggregate level yields a unique picture of the book and portrays overall levels throughout the book independent of the negative or positive nature of the action.

 Compare this book to another... Or the Bull Kills You

0.085 0.080 0.075 0.070 0.065

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