{"id":5793,"date":"2023-08-24T19:57:51","date_gmt":"2023-08-25T00:57:51","guid":{"rendered":"https:\/\/ami.advancedrenaleducation.com\/wparep\/?post_type=article&p=5793"},"modified":"2025-05-09T11:48:16","modified_gmt":"2025-05-09T16:48:16","slug":"manejo-de-datos-y-presentacion-sp","status":"publish","type":"article","link":"https:\/\/ami.advancedrenaleducation.com\/wparep\/article\/manejo-de-datos-y-presentacion-sp\/","title":{"rendered":"Manejo de Datos y Presentaci\u00f3n"},"content":{"rendered":"

Los datos son el alimento de las estad\u00edsticas. Datos significa cualquier elemento de informaci\u00f3n, independientemente de c\u00f3mo se presente o represente1<\/sup>. Un dato puede ser un elemento de texto como un nombre o una direcci\u00f3n o un n\u00famero o expresi\u00f3n num\u00e9rica. Se pueden asociar varios datos relacionados para formar un registro; cada elemento de datos por separado se denomina campo dentro del registro. Muchos registros juntos forman una tabla o base de datos.<\/p>\n

Para que los datos sean significativos y \u00fatiles, los elementos de datos deben recopilarse o capturarse y registrarse de manera sistem\u00e1tica2<\/sup>. Esto se conoce como manejo de datos<\/strong>. El manejo de los datos puede ser tan simple como registrar ordenadamente en una hoja de papel o completar formularios de inscripci\u00f3n en la pantalla de una computadora. La integridad de los datos<\/strong> significa poner los datos en su formato adecuado en su lugar adecuado. La precisi\u00f3n de los datos<\/strong> significa que todos los elementos de los datos son correctos, ya sea la ortograf\u00eda de un elemento de texto, un d\u00edgito en un n\u00famero o la posici\u00f3n correcta del lugar decimal dentro de un n\u00famero. La validaci\u00f3n de datos<\/strong> es un sistema para comprobar que el elemento de datos es coherente y significativo. La precisi\u00f3n, integridad y validaci\u00f3n son esenciales para el manejo adecuado de los datos.<\/p>\n

Las computadoras modernas nos permiten almacenar millones de elementos de datos y registros con relativa facilidad. En s\u00ed mismos, estos datos almacenados son in\u00fatiles a menos que podamos presentarlos3<\/sup>. Existen numerosas formas de presentar datos, desde la lista m\u00e1s simple, hasta tablas ordenadas y salidas gr\u00e1ficas, como gr\u00e1ficos, que pueden tomar muchas formas. Al presentar los datos, debemos buscar los m\u00e9todos que comuniquen con mayor claridad el significado y sean m\u00e1s f\u00e1ciles de leer. Los programas de software f\u00e1cilmente disponibles ofrecen numerosas opciones para la presentaci\u00f3n de datos<\/strong>. El arte de la presentaci\u00f3n de datos es elegir entre muchos para lograr claridad y evitar la tentaci\u00f3n de ser excesivamente inteligente o extravagante.<\/p>\n

Algunos datos pueden presentarse efectivamente con poca o ninguna manipulaci\u00f3n; otros solo tienen sentido si los datos se han sometido primero a una o m\u00e1s formas de an\u00e1lisis. La informaci\u00f3n impl\u00edcita en algunos datos es obvia; para otros, los datos deben ser “extra\u00eddos”: uno tiene que profundizar en los datos y analizarlos utilizando t\u00e9cnicas matem\u00e1ticas (estad\u00edsticas) m\u00e1s o menos sofisticadas para que su significado se haga evidente. La interpretaci\u00f3n y el an\u00e1lisis de datos<\/strong> es lo que convierte los datos en informaci\u00f3n y justifica el esfuerzo y el tiempo invertidos en el manejo de datos4<\/sup>.<\/p>\n

<\/div>
<\/div>\n

References:<\/h4>\n
    \n
  1. Secic M, Lang T, eds. How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors, and Reviewers<\/em>. second.; 2006. https:\/\/www.amazon.com\/How-Report-Statistics-Medicine-Guidelines\/dp\/1930513690. Accessed February 17, 2021.<\/li>\n
  2. Riffenburgh R. Statistics in Medicine – 3rd Edition. https:\/\/www.elsevier.com\/books\/statistics-in-medicine\/riffenburgh\/978-0-12-384864-2. Published 2012. Accessed February 17, 2021.<\/li>\n
  3. Nussbaumer Knaflic C. Storytelling with Data: A Data Visualization Guide for Business Professionals: Nussbaumer Knaflic, Cole: 9781119002253: Amazon.Com: Books<\/em>.; 2015. https:\/\/www.amazon.com\/Storytelling-Data-Visualization-Business-Professionals\/dp\/1119002257\/ref=asc_df_1119002257\/?tag=hyprod-20&linkCode=df0&hvadid=312118059795&hvpos=&hvnetw=g&hvrand=10253410397677754541&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint. Accessed February 17, 2021.<\/li>\n
  4. Jones B. Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations<\/em>. Hoboken, NJ: J Wiley & Sons; 2020. https:\/\/www.amazon.com\/Avoiding-Data-Pitfalls-presenting-visualizations\/dp\/1119278163\/ref=asc_df_1119278163\/?tag=hyprod-20&linkCode=df0&hvadid=385709422286&hvpos=&hvnetw=g&hvrand=10253410397677754541&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlo. Accessed February 17, 2021.<\/li>\n<\/ol>\n
    P\/N 101849-01S Rev B 02\/2023<\/div>\n
    <\/div><\/div>\n","protected":false},"featured_media":0,"template":"","format":"standard","meta":{"_acf_changed":false},"categories":[274],"tags":[209],"language":[42],"articles":[231],"class_list":["post-5793","article","type-article","status-publish","format-standard","hentry","category-articulos","tag-basic-sp","language-spanish","articles-erc-ert","entry","no-media"],"acf":[],"yoast_head":"\nManejo de Datos y Presentaci\u00f3n - Advanced Renal Education Program<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ami.advancedrenaleducation.com\/wparep\/article\/manejo-de-datos-y-presentacion-sp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Manejo de Datos y Presentaci\u00f3n - Advanced Renal Education Program\" \/>\n<meta property=\"og:description\" content=\"Los datos son el alimento de las estad\u00edsticas. 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