{"id":56830,"date":"2024-04-16T00:51:30","date_gmt":"2024-04-16T00:51:30","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=56830"},"modified":"2024-04-16T00:51:30","modified_gmt":"2024-04-16T00:51:30","slug":"in-data-science-what-is-the-term-for-the-process-of-aggregating-data-from-multiple-sources-into-a-single-dataset","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/in-data-science-what-is-the-term-for-the-process-of-aggregating-data-from-multiple-sources-into-a-single-dataset\/","title":{"rendered":"In data science, what is the term for the process of aggregating data from multiple sources into a single dataset?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Data integration&#8221; option2=&#8221;Data augmentation&#8221; option3=&#8221;Data normalization&#8221; option4=&#8221;Data imputation&#8221; correct=&#8221;option1&#8243;]<!--more--><\/p>\n<p>The correct answer is: A. Data integration.<\/p>\n<p>Data integration is the process of combining data from multiple sources into a single, unified dataset. This can be done for a variety of reasons, such as to improve the accuracy of data analysis, to make data more accessible to users, or to create a single source of truth for data.<\/p>\n<p>Data integration can be a complex process, as it requires the identification of the data sources, the transformation of the data into a common format, and the merging of the data into a single dataset. However, it is a critical step in many data science projects, as it allows for the use of all available data to improve the accuracy and insights of data analysis.<\/p>\n<p>The other options are incorrect because they do not accurately describe the process of aggregating data from multiple sources into a single dataset.<\/p>\n<ul>\n<li>Data augmentation is the process of artificially increasing the size of a dataset by creating new data points. This can be done by using techniques such as data generation, data synthesis, and data augmentation.<\/li>\n<li>Data normalization is the process of converting data into a standard format. This can be done by converting data into a common scale, such as a percentage or a ratio.<\/li>\n<li>Data imputation is the process of filling in missing data points in a dataset. This can be done by using techniques such as mean imputation, median imputation, and multiple imputation.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Data integration&#8221; option2=&#8221;Data augmentation&#8221; option3=&#8221;Data normalization&#8221; option4=&#8221;Data imputation&#8221; correct=&#8221;option1&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[738],"tags":[],"class_list":["post-56830","post","type-post","status-publish","format-standard","hentry","category-data-science-miscellaneous","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>In data science, what is the term for the process of aggregating data from multiple sources into a single dataset?<\/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:\/\/exam.pscnotes.com\/mcq\/in-data-science-what-is-the-term-for-the-process-of-aggregating-data-from-multiple-sources-into-a-single-dataset\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"In data science, what is the term for the process of aggregating data from multiple sources into a single dataset?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Data integration&#8221; 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