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Discussion Post: Data in Analytics
I. How do you describe the importance of data in analytics? Can we think of analytics without data? Explain.
II. Go to UCI data repository and identify a large data set that contains both numeric and nominal values. Using Microsoft Excel or any other statistical software:
1. Calculate and interpret central tendency measures for each and every variable.2. Calculate and interpret the dispersion/spread measures for each and every variable.
III. Go to data gov-a U.S. government-sponsored data portal that has a very large number of data sets on a wide variety of topics ranging from healthcare to education, climate to public safety. Pick a topic that you are most passionate about. Go through the topic-specific information and explanation provided on the site. Explore the possibilities of downloading the data, and use your favorite data visualization tool to create your own meaningful information and visualizations.
Binary search tree, and postorder and preorder traversal Determine the shortest path in Graph
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