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Average number of books of 4 subjects Maths, English, Hindi and Science in library P is 77. In library Q, there are 5 more English books and 23 more Science books than that of in library P. If the average of the total number of books of 4 subjects in library P and that in library Q is 348 then the library Q has how many more books of Hindi and Math than library P?
Which data visualization library in Python is often used for creating interactive and informative plots?
Which Python library is commonly used for data exploration and data cleaning tasks, providing interactive and user-friendly interfaces?
Which Python library is commonly used for creating interactive data dashboards and reports for data analysis and visualization?
Which Python library is commonly used for creating interactive data dashboards and web applications for data visualization?
Jane, Karim and Leo checked out books from the library. Jane has an even number of library books . Karim has 3 more library books than Jane . Leo has 2 more library books than Karim. Which statement is true about the number of library books Karim and Leo have ?
Which data visualization library in R is known for creating static and interactive visualizations for data exploration?
Mr. Bakhtiar works in the procurement department of a library. Under a new purchase policy, he increased the total number of books in the library by 20%. But soon afterwards, as part of the library cleaning process, 10% of the total library book stock is disposed of. What is the net change over the initial number of books in the library ?
Which Python library is commonly used for creating interactive and web-based dashboards for data analysis and visualization?
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.