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What is difference between check point and save point in DBMS?
save point saves the dbms and check point simply check the database thats it simple
What are the uses of sampling?
(1) A sample may save money (as compared with the cost of a complete census) when absolute precision is not necessary. (2) A sample saves time, when data are desired more quickly than would be possible with a complete census. (3) A sample may make it possible to concentrate attention on individual cases. (4) In industrial uses, some tests are destructive (for example, testing the length of time an electric bulb will last) and can only be performed on a sample of items. (5) Some populations can be considered as infinite, and can, therefore, only be sampled. A simple example is an agricultural experiment for testing fertilizers. In one sense, a census can be considered as a sample at one instant of time of an underlying causal system which has random features in it. (6) Where non-sampling errors are necessarily large, a sample may give better results than a complete census because non-sampling errors are easier to control in smaller-scale operations
What are the importance of presenting data?
There are several reasons for presenting data, such as: Clarity and Understanding: Well-presented data makes complex information easier to understand. It helps communicate insights clearly and concisely to different audiences, including those without technical backgrounds. Decision Making: Effective data presentation supports better decision-making. When data is presented in a clear and actionable way, stakeholders can make informed choices based on the insights provided. Identifying Patterns and Trends: Visualizing data helps identify patterns, trends, and outliers that might not be immediately obvious in raw data. This can lead to new insights and discoveries. Storytelling: Good data presentation tells a story. It connects the dots between data points to provide a narrative that explains what the data means and why it matters. Engagement: Engaging presentations capture the audience's attention and keep them interested. Visuals like charts, graphs, and infographics are more engaging than tables of numbers. Persuasion: Data presented effectively can be persuasive. It can back up arguments, justify decisions, and convince others of the validity of your conclusions. Transparency and Trust: Clear and accurate presentation of data builds trust. It shows that you are transparent about your findings and confident in your analysis. Communication Across Teams: Different teams within an organization often need to collaborate. Presenting data in a way that is understandable to all parties ensures that everyone is on the same page. Highlighting Key Points: Data presentation helps highlight the most important points and insights, ensuring that they are not lost in a sea of information. Efficiency: A well-presented data report saves time. Stakeholders can quickly grasp the key takeaways without wading through extensive raw data. In summary, presenting data effectively is essential for clear communication, informed decision-making, and building trust and engagement with your audience.
