{"id":43018,"date":"2024-04-15T21:23:29","date_gmt":"2024-04-15T21:23:29","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=43018"},"modified":"2024-04-15T21:23:29","modified_gmt":"2024-04-15T21:23:29","slug":"which-python-library-provides-tools-for-working-with-structured-data-and-is-often-used-in-data-analysis-tasks-especially-in-financial-data","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-python-library-provides-tools-for-working-with-structured-data-and-is-often-used-in-data-analysis-tasks-especially-in-financial-data\/","title":{"rendered":"Which Python library provides tools for working with structured data and is often used in data analysis tasks, especially in financial data?"},"content":{"rendered":"

[amp_mcq option1=”Seaborn” option2=”PySpark” option3=”Scikit-learn” option4=”Seaborn” correct=”option3″]<\/p>\n

The correct answer is C. Scikit-learn<\/strong>.<\/p>\n

Scikit-learn is a free and open-source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.<\/p>\n

Scikit-learn is often used in data analysis tasks, especially in financial data. It provides a wide range of tools for working with structured data, including data loading, cleaning, and preprocessing. It also includes a number of machine learning algorithms that can be used to train models on structured data.<\/p>\n

Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive statistical graphics. Seaborn is built on top of Matplotlib, but provides a number of features that make it easier to use for data visualization. These features include a variety of statistical plots, a grammar of graphics, and a number of helpful tools for data exploration.<\/p>\n

PySpark is an open-source distributed processing framework for large-scale data processing. It is built on top of Apache Spark and provides a high-level API for working with structured and unstructured data. PySpark is often used in data analysis tasks, especially in big data applications.<\/p>\n

In conclusion, the correct answer is C. Scikit-learn<\/strong>. Scikit-learn is a Python library that provides tools for working with structured data and is often used in data analysis tasks, especially in financial data.<\/p>\n","protected":false},"excerpt":{"rendered":"

[amp_mcq option1=”Seaborn” option2=”PySpark” option3=”Scikit-learn” option4=”Seaborn” correct=”option3″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[737],"tags":[],"class_list":["post-43018","post","type-post","status-publish","format-standard","hentry","category-data-analysis-with-python","no-featured-image-padding"],"yoast_head":"\nWhich Python library provides tools for working with structured data and is often used in data analysis tasks, especially in financial data?<\/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\/which-python-library-provides-tools-for-working-with-structured-data-and-is-often-used-in-data-analysis-tasks-especially-in-financial-data\/\" \/>\n<meta property=\"og:locale\" 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