Topic: Data Analytics
Give a short example to show that items in a strong association rule may actually be negatively correlated.
Topic: Data Analytics Give a short example to show that items in a strong association rule...
Briefly explain the Boxplot for data visualization and analytics and give its example.
Discuss the role of visual analytics when working with healthcare data. Give an example of how visual analytics can be applied to improve the utility of data in health care.
Discuss the differences between descriptive analytics and predictive analytics. Give an example of when you may use each type.
Give an example of two variables that are correlated in a strong and positive direction and two that are correlated in a strong a negative direction. Comment on any other factors that could influence their relationship and what can an cannot be inferred from these correlations.
10A) Give an example of a paired data set (with at least 5 pairs) that demonstrates a strong (but not perfect) negative linear correlation. x y 10B) Give a real life example of two variables that are likely to be positively correlated. Specifically explain why you believe your chosen two variables are positively correlated. 10C) Suppose some researchers studied children in high schools and found a strong positive linear correlation between the availability of vending machines and obesity. From this...
3. How do social media analytics aid in organization? Give an example of a social media data stream and the type of insight that might be drawn from it
A research 'method' is actually a ______ data analytics health care topics of interest strategy for studying a topic of interest formatting for citations A survey is an example of a ______ data analysis a type of data a research conceptualization research method These are all types of health-related research EXCEPT ____ Research on paying for health services Research on policies related to health services Research on physicians who are members of the AMA Research on required resources for the...
Association rules in general show correlations among product items, e.g. the likelihood to buy battery and milk powder together. In practice, we look for causality, for example, if a customer buys Book A, what is the likelihood for this customer to buy Book B? If we use a transaction data, we don't know if it is correlation or a causality. Please give an actionable solution for a merchant to assess the causality for an event, such as those customers who...
1- List six data entry methods with short description for each. 2- Give Give example of the use of RFID tags in process or inventory management in retail or health care environments.
Show example transaction data where the rule for X → Y: (a) Both support and confidence are high. (b) Support is high and confidence is low. (c) Support is low and confidence is high. (d) Both support and confidence are low.