Week 1

Question 1

Types of Data Analytics

Answer 1

1. Descriptive - Inside into the past
2. Predictive - Look into the future
3. Pescrptive - Data-driven

Question 2

What is data vs. information?

Answer 2

Data - Raw numbers, facts, etc…
Information - Structured, meaningful, and useful numbers and facts.

Question 3

What is categorical data?

Answer 3

Data that has no intrinsic numerical value.
1. Nominal - Two or more outcomes that have no natural order (i.e: movie genres and hair color)
2. Ordinal - Two or more outcomes that have natural order (i.e: movie ratings and education levels)

Question 4

What is numerical data (quantitative)?

Answer 4

Data that has an intrinsic numerical value.
1. Continuous - Data that can attain any value on a given measurement scale.
- Interval data: Equal intervals represent equal differences, there is no fixed “zero point” (i.e: temperature in Celsius, clock time, birth year)
- Ration data: Both differences and ratios make sense; there is a fixed “zero point” (i.e: movie budget, temperature in Kelvin, distance, time duration)
2. Discrete: – Data that can only attain certain values (typically integers) (i.e: the number of days with sunshine in a certain year, the number of traffic incidents)

Question 5

What is logarithmic scale data?

Answer 5

Logarithmic scale data is numerical, but it is neither ratio nor truly interval!

Question 6

Reference table

Answer 6

Used to store all data in a table so that it can be looked up easily

Question 7

Demonstration table

Answer 7

Used to illustrate a point (with just enough data, or with a
specific summary)

Question 8

What are the 3 types of summary statistics?

Answer 8

There are different types of summary statistics
- Level: Location summary statistics → What are “typical” values
- Spread: Scale summary statistics → How much do values vary?
- Relation: Association summary statistics → How do values of different quantities vary simultaneously?

Question 9

What is the mean?

Answer 9

The average

Question 10

What is the median?

Answer 10

The value separating the higher half from the lower half of a data set
- Median = 50th percentile = 2nd quartile

Question 11

What is the mode?

Answer 11

The most frequently occurring value may be non-unique

Question 12

What is the range?

Answer 12

Max value - Min value

Question 13

What is the interquartile range?

Answer 13

Q3 – Q1 (3 rd quartile - 1st quartile)

Question 14

What is sample variance?

Question 15

What is sample standard deviation?

Question 16

What is median absolute deviation (MAD)?

Answer 16

The median of the absolute deviation from the median