Data mining

Learning Goal: I’m working on a data analytics exercise and need an explanation and answer to help me learn.

The is over chapters 1-5. Please use this template and answer the questions on this form. Place your name at the top of this page prior to submitting (or add a cover page to this paper),

1.For each of the datasets note if data privacy is an important issue

a.Census data collected from 1900- 1950

b.IP addresses and visit times of web users who visit your website.

c.Images from Earth orbiting satellites

d.Names and addresses of people from the telephone book

e.Names and email addresses collected from the web.

2.Classify the following attributes as binary, discrete, or continuous. Also classify them as qualitative (nominal or ordinal) or quantitative (interval or ratio). Some cases may have more than one interpretation, so briefly indicate your reasoning if you think there may be some ambiguity.

Example: Age in years. Answer: Discrete, quantitative, ratio

(a) Time in terms of AM or PM.

(b) Brightness as measured by a light meter.

(c) Brightness as measured by people’s judgments.

(d) Angles as measured in degrees between 0◦ and 360◦.

(e) Bronze, Silver, and Gold medals as awarded at the Olympics.

(f) Height above sea level.

(g) Number of patients in a hospital.

(h) ISBN numbers for books. (Look up the format on the Web.)

(i) Ability to pass light in terms of the following values: opaque, translucent, transparent.

(j) Military rank.

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