{"id":50095,"date":"2024-04-15T23:05:23","date_gmt":"2024-04-15T23:05:23","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=50095"},"modified":"2024-04-15T23:05:23","modified_gmt":"2024-04-15T23:05:23","slug":"in-python-which-library-is-often-used-for-creating-interactive-dashboards-and-web-applications-for-data-analysis-and-visualization","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/in-python-which-library-is-often-used-for-creating-interactive-dashboards-and-web-applications-for-data-analysis-and-visualization\/","title":{"rendered":"In Python, which library is often used for creating interactive dashboards and web applications for data analysis and visualization?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Dash&#8221; option2=&#8221;Numpy&#8221; option3=&#8221;Matplotlib&#8221; option4=&#8221;Pandas&#8221; correct=&#8221;option1&#8243;]<!--more--><\/p>\n<p>The correct answer is: <strong>A. Dash<\/strong><\/p>\n<p>Dash is a Python library for building web applications. It is based on Flask and Plotly, and it allows you to create interactive dashboards and web applications for data analysis and visualization.<\/p>\n<p>NumPy is a Python library for scientific computing. It provides a high-performance multidimensional array object, as well as a variety of functions for working with arrays.<\/p>\n<p>Matplotlib is a Python library for plotting and visualization. It provides a variety of functions for creating plots, charts, and graphs.<\/p>\n<p>Pandas is a Python library for data analysis and manipulation. It provides a variety of functions for working with data frames, time series, and other data types.<\/p>\n<p>Here are some examples of how Dash can be used:<\/p>\n<ul>\n<li>To create a dashboard that shows the latest stock prices.<\/li>\n<li>To create a dashboard that shows the weather forecast for a given location.<\/li>\n<li>To create a dashboard that shows the results of a scientific experiment.<\/li>\n<\/ul>\n<p>Dash is a powerful tool that can be used to create a variety of interactive dashboards and web applications. It is easy to use and can be customized to meet the specific needs of your project.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Dash&#8221; option2=&#8221;Numpy&#8221; option3=&#8221;Matplotlib&#8221; option4=&#8221;Pandas&#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":[737],"tags":[],"class_list":["post-50095","post","type-post","status-publish","format-standard","hentry","category-data-analysis-with-python","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 Python, which library is often used for creating interactive dashboards and web applications for data analysis and visualization?<\/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-python-which-library-is-often-used-for-creating-interactive-dashboards-and-web-applications-for-data-analysis-and-visualization\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"In Python, which library is often used for creating interactive dashboards and web applications for data analysis and visualization?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Dash&#8221; 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