{"id":207,"date":"2023-10-11T19:18:58","date_gmt":"2023-10-11T19:18:58","guid":{"rendered":"https:\/\/agustincastro.es\/?p=207"},"modified":"2026-01-24T13:23:21","modified_gmt":"2026-01-24T13:23:21","slug":"generar-nombres-de-empresas-biotecnologicas-al-azar-lo-hacemos-en-r","status":"publish","type":"post","link":"https:\/\/agustincastro.es\/index.php\/2023\/10\/11\/generar-nombres-de-empresas-biotecnologicas-al-azar-lo-hacemos-en-r\/","title":{"rendered":"\u00bfGenerar nombres de empresas biotecnol\u00f3gicas al azar? Lo hacemos en R."},"content":{"rendered":"\n

Cuando estamos haciendo an\u00e1lisis de datos puede sernos de utilidad contar con un generador de nombres al azar. Pueden ser nombres de personas, y apellidos, nombres de empresas, o cualquier otra cosa que requiera contar con un buen n\u00famero de estos elementos. <\/p>\n\n\n\n

Aqu\u00ed va una pr\u00e1ctica en la que se desarrolla c\u00f3mo podr\u00eda hacerse esto en R (pincha en el enlace si quieres verlo en RPubs [generar nombres<\/a>]<\/strong><\/p>\n\n\n\n

–<\/p>\n\n\n\n

P\u00edldoras_R. Material de formaci\u00f3n<\/h4>\n\n\n\n

En esta pr\u00e1ctica generamos nombres de empresas biotecnol\u00f3gicas al azar, a partir de dos listados de elementos obtenidos de consultas a chatgpt.<\/p>\n\n\n\n

[mi_blog]\u00a0https:\/\/agustincastro.es<\/a><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Vectores con nombres de empresas y adjetivos.<\/h2>\n\n\n\n

Los nombres de las empresas estar\u00e1n formados por dos palabras, un nombre, almacenado en lab_names<\/strong>, y un adjetivo, en lab_adjetives<\/strong>. Ambos vectores han sido obtenidos de dos consultas a chatgtp<\/strong>. Se le pidi\u00f3 un listado con 150 posibles nombres de empresas biotecnol\u00f3gicas que estuvieran formados por una \u00fanica palabra. Igualmente, se hizo lo mismo para el vector con los \u201cadjetivos\u201d.Hide<\/p>\n\n\n\n

<\/a>lab_names <- c(\"BioSynth\", \"ChemixLab\", \"PharmaWave\", \"LifeCore\", \"NanoBio\", \"GenoTechnics\", \"QuantumChem\", \"BioGene\", \"MediSynth\", \"LabPro\", \"Bioteched\", \"EnviroLab\", \"SynthCorp\", \"BioPharma\", \"GenoTech\", \"ChemWare\", \"MediGene\", \"QuantumBio\", \"LifeLab\", \"NanoTech\", \"SynthLife\", \"ChemixGen\", \"BioInno\", \"PharmaSyn\", \"GenoLab\", \"MediLife\", \"BiotechLab\", \"LabBio\", \"EnviroGen\", \"NanoPharm\", \"ChemCore\", \"Lifer\", \"QuantumCore\", \"SynthTech\", \"MediPharm\", \"GenoWave\", \"BioGenix\", \"LabSynth\", \"PharmaCorp\", \"NanoCore\", \"ChemBio\", \"EnviroTech\", \"LifeTech\", \"QuantumGen\", \"MediGenix\", \"BioCorp\", \"GenoBio\", \"SynthWave\", \"BiotechX\", \"LabGen\", \"NanoLife\", \"PharmaInno\", \"EnviroBio\", \"ChemPro\", \"LifeInno\", \"QuantumPharm\", \"MediPro\", \"GenoInno\", \"BioTech\", \"SynthPharm\", \n\"LabPharm\", \"NanoSynth\", \"LifeBio\", \"EnviroSynth\", \"MediSynthX\", \"GenoPro\", \n<\/a>\"ChemSynth\", \"BioPharmX\", \"QuantumLab\", \"NanoPharma\", \"LifePharm\", \"SynthInno\", \n<\/a>\"MediPharma\", \"GenoCorp\", \"BioWare\", \"LabLife\", \"EnviroInno\", \"NanoGenix\", \n<\/a>\"ChemProX\", \"QuantumBios\", \"MediCore\", \"SynthLifeX\", \"BioLifeX\", \"PharmaTech\", \n<\/a>\"LifeGenix\", \"GenoPharmaX\", \"NanoBioX\", \"ChemTechX\", \"MediBioX\", \"SynthPharmaX\", \n<\/a>\"LabGenix\", \"EnviroGenix\", \"NanoGen\", \"BioGen\", \"LifeProX\", \"MediPharmX\", \"GenoGenixX\", \"BioSolve\", \"ChemBioX\", \"GenoNova\", \"NanoCoreX\", \"SynthPharmaZ\", \"LabInnoX\", \"EnviroLifeZ\", \"MediTechX\", \"QuantumProZ\", \"LifeGenius\", \"PharmaBioZ\", \n<\/a>\"BioTechLabZ\", \"GenoScienceZ\", \"NanoPharmX\", \"ChemXcelZ\", \"SynthoMedX\", \n<\/a>\"MediWaveZ\", \"LabPulseX\", \"EnviroTechZ\", \"GenoSynthX\", \"BioMaxZ\", \n<\/a>\"NanoBioTechZ\", \"LifeTechX\", \"QuantumBioX\", \"ChemWaveZ\", \"SynthoLifeX\", \n<\/a>\"LabCoreZ\", \"GenoTechX\", \"EnviroPharmX\", \"BioInnoZ\", \"NanoProX\", \"LifePharmZ\", \n<\/a>\"PharmaGenX\", \"QuantumCoreX\", \"MediSynthZ\", \"ChemXpertX\", \"SynthoGenX\", \n<\/a>\"LabXpressZ\", \"GenoInnoZ\", \"EnviroBioX\", \"BioTechXcelX\", \"NanoPharmaZ\", \n<\/a>\"LifeGenixX\", \"PharmaTechZ\", \"QuantumBioXcelX\", \"MediWaveXcelX\", \"ChemCoreXcelZ\", \n<\/a>\"SynthoPharmaX\", \"LabTechZ\", \"BioGenXcel\", \"NanoCoreInno\", \"LifePharmTech\",\n<\/a>\"SynthoMedInnovations\", \"QuantumGen\")\n<\/a>\n<\/a>lab_adjetives <- c(\"Innovative\", \"Technological\", \"Biologicals\", \"Therapeutic\", \"Pharmacological\", \"Biogenetic\", \"Clinical\", \"Modern\", \"Efficient\", \"Investigative\", \n<\/a>\"Experimental\", \"Biomedical\", \"Moleculare\", \"Engineering\", \n<\/a>\"Precise\", \"Analyticals\", \"Synthetics\", \"Futuristic\", \"Personalized\", \n<\/a>\"Specialized\", \"Genetic\", \"Nano\", \"Neuropharmaceutical\", \n<\/a>\"Ecological\", \"Veterinary\", \"International\", \"Scientific\", \n<\/a>\"Inspiring\", \"Sustainable\", \"Advanced\", \"Revolutionary\", \"Healthy\", \n<\/a>\"Radiological\", \"Biochemicals\", \"Cloning\", \"Environmentaly\", \"Regenerative\", \n<\/a>\"Bioinformatics\", \"Microscopic\", \"Pioneering\", \"Metabolic\", \n<\/a>\"Pharmaceuticals\", \"Medical\", \"Intelligent\", \"Genomic\", \"Chemical\", \"Analytical\", \n<\/a>\"Organic\", \"Inorganic\", \"Biochemical\", \"Physical\", \"Nuclear\", \"Synthetic\", \n<\/a>\"Molecular\", \"Polymer\", \"Atomic\", \"Pharmaceutical\", \"Environmental\", \n<\/a>\"Quantum\", \"Spectroscopic\", \"Biological\", \"Radiologicals\", \"Chemotherapeutic\", \n<\/a>\"Catalytics\", \"Hazardous\", \"Combustible\", \"Explosive\", \"Toxic\", \"Radioactive\", \n<\/a>\"Corrosive\", \"Flammable\", \"Reactive\", \"Stoichiometric\", \"Ionic\", \"Covalent\", \n<\/a>\"Thermodynamic\", \"Kinetic\", \"Aqueous\", \"Saturated\", \"Unsaturated\", \n<\/a>\"Volatile\", \"Nonvolatile\", \"Exothermic\", \"Endothermic\", \"Equilibrium\", \n<\/a>\"Isotopic\", \"Redox\", \"Precipitation\", \"Titration\", \"Soluble\", \"Insoluble\", \n<\/a>\"Catalyzed\", \"Inhibitor\", \"Catalytic\", \"Molar\", \"Empirical\", \"Molary\", \n<\/a>\"Hydrophobic\", \"Hydrophilic\", \"Hygroscopic\", \"Luminous\", \"Photovoltaic\", \n<\/a>\"Electrolytic\", \"Crystalline\", \"Amorphous\", \"Homogeneous\", \n<\/a>\"Heterogeneous\", \"Supersaturated\", \"Unsaturatedly\", \"Chemisorption\", \n<\/a>\"Adsorbent\", \"Coagulation\", \"Adsorption\", \"Desorption\", \n<\/a>\"Ionization\", \"Extraction\", \"Crystallization\", \"Chromatographic\", \n<\/a>\"Quantitative\", \"Qualitative\", \"Isotopics\", \"Sublimation\", \n<\/a>\"Precipitate\", \"Electrophilic\", \"Nucleophilic\", \"Condensation\", \n<\/a>\"Volatility\", \"Ionotropic\", \"Biodegradable\", \"Thermophilic\", \n<\/a>\"Photoreactive\", \"Aromatic\", \"Aliphatic\", \"Elastomeric\", \n<\/a>\"Polymeric\", \"Amphoteric\", \"Hydrolytic\", \"Fluorescent\", \"Phosphorescent\", \n<\/a>\"Radioresistant\", \"Combustion\", \"Pyrolytic\", \"Aerobic\", \n<\/a>\"Anaerobic\", \"Oxidative\", \"Reductive\", \"Hydrosensitive\", \"Thermochemical\",\n<\/a>\"Crisis\", \"Endless\")<\/code><\/pre>\n\n\n\n
Comprobar n\u00famero de elementos en los vectores<\/h2>\n\n\n\n
Comprobamos el n\u00famero de elementos de ambos vectores. Como podemos ver, en el listado de nombres de laboratorios hay 151 elementos, uno m\u00e1s de los que pedimos. En este punto solo sabemos eso. \u00bfPodr\u00eda haber un nombre repetido? \u00bfCu\u00e1l?Hide<\/p>\n\n\n\n
<\/a>length(lab_names)<\/code><\/pre>\n\n\n\n
## [1] 151<\/code><\/pre>\n\n\n\n
Hide<\/p>\n\n\n\n
<\/a>length(lab_adjetives)<\/code><\/pre>\n\n\n\n
## [1] 150<\/code><\/pre>\n\n\n\n
Buscar elementos \u00fanicos y duplicados<\/h2>\n\n\n\n
Nos aseguramos de que no hay ning\u00fan nombre o adjetivo repetido en las listas. Podemos utilizar la funci\u00f3n length<\/strong> y unique<\/strong> para obtener los nombres de elementos \u00daNICOS (no repetidos), y su n\u00famero. Si nos fijamos bien, vemos que el n\u00famero de elementos \u00fanicos que obtenemos en el vector lab_names es de 150, cuando sabemos ya que hab\u00eda 151. Esto se debe a que la funci\u00f3n unique<\/strong> nos da los nombres que no se repiten<\/strong>, lo que indica que hay uno repetido.<\/p>\n\n\n\n
Podemos saber cuales son los elementos repetidos con la funci\u00f3n duplicated<\/strong>. Este ejemplo, el nombre \u201cQuantumGen\u201d<\/strong> est\u00e1 repetido, y habr\u00eda que eliminarlo para que tener 150 nombres y que, adem\u00e1s, que sean \u00fanicos.Hide<\/p>\n\n\n\n
<\/a>length(unique(lab_names))<\/code><\/pre>\n\n\n\n
## [1] 150<\/code><\/pre>\n\n\n\n
Hide<\/p>\n\n\n\n
<\/a>length(unique(lab_adjetives))<\/code><\/pre>\n\n\n\n
## [1] 150<\/code><\/pre>\n\n\n\n
Hide<\/p>\n\n\n\n
<\/a>lab_names[duplicated(lab_names)]<\/code><\/pre>\n\n\n\n
## [1] \"QuantumGen\"<\/code><\/pre>\n\n\n\n
Para coger una muestra del vector nombres, y otra del de adjetivos, creamos primero primero dos vectores mucho m\u00e1s grandes, con 1.000 elementos seleccionados al azar en cada uno de ellos utilizando la funci\u00f3n sample<\/strong>. Posteriormente tomamos una<\/strong> muestra de estos, y los guardamos en n1<\/strong> y n2<\/strong>. Finalmente los unimos en n3<\/strong> con la funci\u00f3n paste<\/strong>. Con print<\/strong> se nos muestra en pantalla el nombre final de la empresa.Hide<\/p>\n\n\n\n
<\/a>lab_names_1000 <- sample(lab_names, 1000, replace = TRUE)\n<\/a>lab_adjetives_1000 <- sample(lab_adjetives, 1000, replace = TRUE)\n<\/a>\n<\/a>n1 <- sample(lab_names_1000, 1, replace = TRUE)\n<\/a>n2 <- sample(lab_adjetives_1000, 1, replace = TRUE)\n<\/a>\n<\/a>n3 <<- paste(n1, n2)\n<\/a>\n<\/a>print(n3)<\/code><\/pre>\n\n\n\n
## [1] \"BioLifeX Soluble\"<\/code><\/pre>\n\n\n\n
Funci\u00f3n para generar n<\/em> nombres<\/h2>\n\n\n\n
Por \u00faltimo creamos la funci\u00f3n nombre_empresa<\/strong>, con la que podremos generar el n\u00famero de nombres que nos interese.Hide<\/p>\n\n\n\n
<\/a>nombre_empresa <- function<\/strong>(numero) {\n<\/a>\n<\/a>lab_names <- c(\"BioSynth\", \"ChemixLab\", \"PharmaWave\", \"LifeCore\", \"NanoBio\", \"GenoTechnics\", QuantumChem\", \"BioGene\", \"MediSynth\", \"LabPro\", \"Bioteched\", \"EnviroLab\", \"SynthCorp\", \"BioPharma\", \"GenoTech\", \"ChemWare\", \"MediGene\", \"QuantumBio\", \"LifeLab\", \"NanoTech\", \"SynthLife\", \"ChemixGen\", \"BioInno\", \"PharmaSyn\", \"GenoLab\", \"MediLife\", \"BiotechLab\", \"LabBio\", \"EnviroGen\", \"NanoPharm\", \"ChemCore\", \"Lifer\", \"QuantumCore\", \"SynthTech\", \"MediPharm\", \"GenoWave\", \"BioGenix\", \"LabSynth\", \"PharmaCorp\", \"NanoCore\", \"ChemBio\", \"EnviroTech\", \"LifeTech\", \"QuantumGen\", \"MediGenix\", \"BioCorp\", \"GenoBio\", \"SynthWave\", \"BiotechX\", \"LabGen\", \"NanoLife\", \"PharmaInno\", \"EnviroBio\", \"ChemPro\", \"LifeInno\", \"QuantumPharm\", \"MediPro\", \"GenoInno\", \"BioTech\", \"SynthPharm\", \n\"LabPharm\", \"NanoSynth\", \"LifeBio\", \"EnviroSynth\", \"MediSynthX\", \"GenoPro\", \n\"ChemSynth\", \"BioPharmX\", \"QuantumLab\", \"NanoPharma\", \"LifePharm\", \"SynthInno\", \n\"MediPharma\", \"GenoCorp\", \"BioWare\", \"LabLife\", \"EnviroInno\", \"NanoGenix\", \n\"ChemProX\", \"QuantumBios\", \"MediCore\", \"SynthLifeX\", \"BioLifeX\", \"PharmaTech\", \n\"LifeGenix\", \"GenoPharmaX\", \"NanoBioX\", \"ChemTechX\", \"MediBioX\", \"SynthPharmaX\", \n<\/a>\"LabGenix\", \"EnviroGenix\", \"NanoGen\", \"BioGen\", \"LifeProX\", \"MediPharmX\", \"GenoGenixX\", \"BioSolve\", \"ChemBioX\", \"GenoNova\", \"NanoCoreX\", \"SynthPharmaZ\", \"LabInnoX\", \"EnviroLifeZ\", \"MediTechX\", \"QuantumProZ\", \"LifeGenius\", \"PharmaBioZ\", \"BioTechLabZ\", \"GenoScienceZ\", \"NanoPharmX\", \"ChemXcelZ\", \"SynthoMedX\", \n\"MediWaveZ\", \"LabPulseX\", \"EnviroTechZ\", \"GenoSynthX\", \"BioMaxZ\", \n\"NanoBioTechZ\", \"LifeTechX\", \"QuantumBioX\", \"ChemWaveZ\", \"SynthoLifeX\", \n<\/a>\"LabCoreZ\", \"GenoTechX\", \"EnviroPharmX\", \"BioInnoZ\", \"NanoProX\", \"LifePharmZ\", \n<\/a>\"PharmaGenX\", \"QuantumCoreX\", \"MediSynthZ\", \"ChemXpertX\", \"SynthoGenX\", \n<\/a>\"LabXpressZ\", \"GenoInnoZ\", \"EnviroBioX\", \"BioTechXcelX\", \"NanoPharmaZ\", \n<\/a>\"LifeGenixX\", \"PharmaTechZ\", \"QuantumBioXcelX\", \"MediWaveXcelX\", \"ChemCoreXcelZ\", \n<\/a>\"SynthoPharmaX\", \"LabTechZ\", \"BioGenXcel\", \"NanoCoreInno\", \"LifePharmTech\",\n<\/a>\"SynthoMedInnovations\", \"QuantumGen\")\n<\/a>\n<\/a>lab_adjetives <- c(\"Innovative\", \"Technological\", \"Biologicals\", \"Therapeutic\", \"Pharmacological\", \"Biogenetic\", \"Clinical\", \"Modern\", \"Efficient\", \"Investigative\", \"Experimental\", \"Biomedical\", \"Moleculare\", \"Engineering\", \"Precise\", \"Analyticals\", \"Synthetics\", \"Futuristic\", \"Personalized\", \"Specialized\", \"Genetic\", \"Nano\", \"Neuropharmaceutical\", \"Ecological\", \"Veterinary\", \"International\", \"Scientific\", \"Inspiring\", \"Sustainable\", \"Advanced\", \"Revolutionary\", \"Healthy\", \n\"Radiological\", \"Biochemicals\", \"Cloning\", \"Environmentaly\", \"Regenerative\", \n<\/a>\"Bioinformatics\", \"Microscopic\", \"Pioneering\", \"Metabolic\", \n<\/a>\"Pharmaceuticals\", \"Medical\", \"Intelligent\", \"Genomic\", \"Chemical\", \"Analytical\", \n<\/a>\"Organic\", \"Inorganic\", \"Biochemical\", \"Physical\", \"Nuclear\", \"Synthetic\", \n<\/a>\"Molecular\", \"Polymer\", \"Atomic\", \"Pharmaceutical\", \"Environmental\", \n<\/a>\"Quantum\", \"Spectroscopic\", \"Biological\", \"Radiologicals\", \"Chemotherapeutic\", \n<\/a>\"Catalytics\", \"Hazardous\", \"Combustible\", \"Explosive\", \"Toxic\", \"Radioactive\", \n<\/a>\"Corrosive\", \"Flammable\", \"Reactive\", \"Stoichiometric\", \"Ionic\", \"Covalent\", \n<\/a>\"Thermodynamic\", \"Kinetic\", \"Aqueous\", \"Saturated\", \"Unsaturated\", \n<\/a>\"Volatile\", \"Nonvolatile\", \"Exothermic\", \"Endothermic\", \"Equilibrium\", \n<\/a>\"Isotopic\", \"Redox\", \"Precipitation\", \"Titration\", \"Soluble\", \"Insoluble\", \n<\/a>\"Catalyzed\", \"Inhibitor\", \"Catalytic\", \"Molar\", \"Empirical\", \"Molary\", \n<\/a>\"Hydrophobic\", \"Hydrophilic\", \"Hygroscopic\", \"Luminous\", \"Photovoltaic\", \n<\/a>\"Electrolytic\", \"Crystalline\", \"Amorphous\", \"Homogeneous\", \n<\/a>\"Heterogeneous\", \"Supersaturated\", \"Unsaturatedly\", \"Chemisorption\", \n<\/a>\"Adsorbent\", \"Coagulation\", \"Adsorption\", \"Desorption\", \n<\/a>\"Ionization\", \"Extraction\", \"Crystallization\", \"Chromatographic\", \n<\/a>\"Quantitative\", \"Qualitative\", \"Isotopics\", \"Sublimation\", \n<\/a>\"Precipitate\", \"Electrophilic\", \"Nucleophilic\", \"Condensation\", \n<\/a>\"Volatility\", \"Ionotropic\", \"Biodegradable\", \"Thermophilic\", \n<\/a>\"Photoreactive\", \"Aromatic\", \"Aliphatic\", \"Elastomeric\", \n<\/a>\"Polymeric\", \"Amphoteric\", \"Hydrolytic\", \"Fluorescent\", \"Phosphorescent\", \n<\/a>\"Radioresistant\", \"Combustion\", \"Pyrolytic\", \"Aerobic\", \n<\/a>\"Anaerobic\", \"Oxidative\", \"Reductive\", \"Hydrosensitive\", \"Thermochemical\",\n<\/a>\"Crisis\", \"Endless\")\n<\/a>\n<\/a>lab_names_1000 <- sample(lab_names, 1000, replace = TRUE)\n<\/a>lab_adjetives_1000 <- sample(lab_adjetives, 1000, replace = TRUE)\n<\/a>\n<\/a>n1 <- sample(lab_names_1000, numero, replace = TRUE)\n<\/a>n2 <- sample(lab_adjetives_1000, numero, replace = TRUE)\n<\/a>n3 <<- paste(n1, n2)\n<\/a>\n<\/a>return(n3)\n<\/a>}<\/code><\/pre>\n\n\n\n
Si, por ejemplo, queremos que nos ofrezca 10 nombres<\/strong>, llamamos a la funci\u00f3n de la siguiente forma. Los nombres resultantes de las empresas ser\u00e1n listados.Hide<\/p>\n\n\n\n
<\/a>nombre_empresa(10)<\/code><\/pre>\n\n\n\n
##  [1] \"GenoInnoZ Soluble\"         \"MediGene Reductive\"       \n##  [3] \"EnviroTechZ Radiologicals\" \"MediSynthZ Metabolic\"     \n##  [5] \"NanoCoreInno Saturated\"    \"SynthoPharmaX Biomedical\" \n##  [7] \"QuantumBioX Chemical\"      \"PharmaBioZ Nucleophilic\"  \n##  [9] \"GenoPro Amphoteric\"        \"NanoGenix Engineering\"<\/code><\/pre>\n\n\n\n
eof.<\/p>\n","protected":false},"excerpt":{"rendered":"
Cuando estamos haciendo an\u00e1lisis de datos puede sernos de utilidad contar con un generador de nombres al azar. Pueden ser nombres de personas, y apellidos, nombres de empresas, o cualquier otra cosa que requiera contar con un buen n\u00famero de estos elementos. Aqu\u00ed va una pr\u00e1ctica en la que se desarrolla c\u00f3mo podr\u00eda hacerse esto […]<\/p>\n","protected":false},"author":1,"featured_media":330,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,5],"tags":[],"class_list":["post-207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r","category-tecnica-y-practica"],"_links":{"self":[{"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/posts\/207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/comments?post=207"}],"version-history":[{"count":4,"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/posts\/207\/revisions"}],"predecessor-version":[{"id":332,"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/posts\/207\/revisions\/332"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/media\/330"}],"wp:attachment":[{"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/media?parent=207"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/categories?post=207"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agustincastro.es\/index.php\/wp-json\/wp\/v2\/tags?post=207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}