1. How do you describe the importance of data in analytics? Can we think of analytics without data? Explain.
2. Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?
3. Where do the data for business analytics come from? What are the sources and the nature of those incoming data?
4. What are the most common metrics that make for analytics-ready data?
5. What are the main categories of data? What types of data can we use for BI and analytics?
Write all of the 5 questions in one page
1. Download the “Voting Behavior” data and the brief data description from the book’s Web site. This is a data set manually compiled from counties all around the United States. The data are partially processed, that is, some derived variables have been created. Your task is to thoroughly preprocess the data by identifying the error and anomalies and proposing remedies and solutions. At the end, you should have an analytics-ready version of these data. Once the preprocessing is completed, pull these data into Tableau (or into some other data visualization software tool) to extract useful visual information from it. To do so, conceptualize relevant questions and hypotheses (come up with at least three of them) and create proper visualizations that address those questions of “tests” of those hypotheses.
Write the above in one page
When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.
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