Descriptive analytics

Question 1

The term about questioning if we have confidence and belief in the data source is called ___________

Answer 1

Data source reliability

Question 2

The term about questioning if we have the right data for the job is called ______________

Answer 2

Data source accuracy

Question 3

The term about questioning if we can easily get to the data is called _____________

Answer 3

Data accecibility

Question 4

The term about questioning if the data source is secured to only access the data to those who are allowed to consult the data is called ___________

Answer 4

Data security

Data privacy

Question 5

__________ means all the requested data elements are included in the data set

Answer 5

Data richness

Question 6

________ means the data is accurately collected and combined. It dminished the possibility that two records get mixed up during a data merge.

Answer 6

Data consistency

Question 7

_________ or ___________ means the data is as up to data as needed

Answer 7

data currency or data timeliness

Question 8

__________ means that the data is at the lowest level of detail as intended for use of the data

Answer 8

Data granularity

Question 9

Data ______ is the term used to describe a mismatch between the actual and expected value of a variable

Answer 9

validity

Question 10

___________ means that the data in the data set are all relevant for the study

Answer 10

Data relevancy

Question 11

Data is a collecion of _______ usually obtained by e_____, o______, transcations or e_______

Answer 11

facts, experiments, observations, experiences

Question 12

data is the lowest/highest level of abstraction from which information is derived

Answer 12

lowest

Question 13

structured data is what data mining techniques use and can be classified as _________ or _______

Answer 13

categorical or numeric

Question 14

categorical data is:

and can be devided in _______ and ______

Answer 14

Categorical = labels of classes used to devide a variable into specific groups: education level, race, gender, etc

nominal and ordinal

Question 15

nominal classification is ____________

Answer 15

simple codes assigned to objects as labels. Marital status = 1,2 or 3

Question 16

ordinal classification is ____________

Answer 16

assigning codes to objects as labels that ALSO represent RANK order

Question 17

what is the difference between ‘numeric data’ and ‘ratio data’

Answer 17

ratio data has values that can be compare to a non-arbitrary zero point: weight,angle, energy, temperature, velocity, etc

Question 18

Neural networks, support vector machines and logistic regression expects a certain form of data. Which is that?

Answer 18

Numeric data

Question 19

A _____ variable had infinite value range

Answer 19

continuous

Question 20

A discrete variable had a ________ value range

Answer 20

finite countable

Question 21

missing values in a collected data set due to an anomaly need to be _______ or ________

Answer 21

imputed (most probable value) or ignored

Question 22

Reasons for missing values is data is : ________ or ________

Answer 22

anomaly or intended

Question 23

Noisy data (outliers) should be

Answer 23

smoothed out

Question 24

Sometimes data of a variable is ______ between a certain minimum and maximum the data to ______ the potential _____

Answer 24

normalized

mitigate the potential bias

Question 25

What are some transformation tasks?

Answer 25

normalization
discretization
aggregation
convert numerical data to a categorical value
reduce nominal variables amount for a variable
reduce complexite: blood match 1 or - instead of blood groups

Question 26

The final step in transformation of data is called ________

Answer 26

data reduction

Question 27

In ‘predictive analysis’ and ‘data mining’ data sets have different dimensions that describe the phenomenon, when that data set needs to be reduced it is called __________(or _________)

Answer 27

dimensional reduction (or variable selection)

Question 28

Data reduction can not only be managed by reducing variables (columns) but also by __________ also called ___________

Answer 28

reducing records, sampling

Question 29

In a skewed data set is has been shown that ______ the represented classes and __________ the less represented samples is producing better prediction models than unbalanced ones

Answer 29

undersampling, oversampling