WGU C207 DATA ANALYSIS CONCEPTS
AND TERMS: A COMPREHENSIVE
OVERVIEW | LATEST UPDATE WITH
COMPLETE SOLUTIONS
, 1) Big data - refers to both structured and unstructured data in
such large volumes that it's difficult to process using
traditional database and software techniques.
i) An example of structured data would be credit card
transactions through a website.
ii) Examples of unstructured data would be Word
documents or the bodies of emails or videos from a
traffic accident site—data that doesn't reside in a
traditional row-column database format.
2) Data mining - is the process of discovering patterns in large
data sets. Data mining is performed on big data to decipher
patterns from these large databases.
3) Ratio- ratio data has a unique zero point. With ratio data,
numbers can be compared as multiples of one another.
i) One example of ratio data is age. Someone can be
twice as old as another person, and it is possible to be
zero years old.
ii) If you were to compare the Fahrenheit and Kelvin
temperature scales, you would find that the Fahrenheit
scale is not ratio data, but the Kelvin scale is ratio data.
This is because zero degrees Fahrenheit has a
corresponding non-zero value on the Celsius and Kelvin
scales and is therefore not unique. The Kelvin scale,
however, has a unique zero value called absolute zero,
making it ratio data.
4) Interval data- is a type of continuous data. It has an order to
it, and all the objects are an equal interval apart, so in interval
data the difference between two values is meaningful. You
cannot have a natural zero point in interval data, and zero
does not represent the absence of the property being
measured.
i) Time and dates, as well as temperature, can be
measured using interval data. For instance, the time of
day is measured using interval data. Each minute
during the day is an equal, meaningful interval apart. It
has an arbitrary zero, at midnight, or midnight and
noon, that does not represent the absence of time.
ii) Another example of interval data is temperature. The
difference between each degree is equal and
meaningful, and zero degrees Fahrenheit does not
signify the absence of temperature. These are two of
the few examples of interval data, which is not very
common aside from measuring temperature and time.
AND TERMS: A COMPREHENSIVE
OVERVIEW | LATEST UPDATE WITH
COMPLETE SOLUTIONS
, 1) Big data - refers to both structured and unstructured data in
such large volumes that it's difficult to process using
traditional database and software techniques.
i) An example of structured data would be credit card
transactions through a website.
ii) Examples of unstructured data would be Word
documents or the bodies of emails or videos from a
traffic accident site—data that doesn't reside in a
traditional row-column database format.
2) Data mining - is the process of discovering patterns in large
data sets. Data mining is performed on big data to decipher
patterns from these large databases.
3) Ratio- ratio data has a unique zero point. With ratio data,
numbers can be compared as multiples of one another.
i) One example of ratio data is age. Someone can be
twice as old as another person, and it is possible to be
zero years old.
ii) If you were to compare the Fahrenheit and Kelvin
temperature scales, you would find that the Fahrenheit
scale is not ratio data, but the Kelvin scale is ratio data.
This is because zero degrees Fahrenheit has a
corresponding non-zero value on the Celsius and Kelvin
scales and is therefore not unique. The Kelvin scale,
however, has a unique zero value called absolute zero,
making it ratio data.
4) Interval data- is a type of continuous data. It has an order to
it, and all the objects are an equal interval apart, so in interval
data the difference between two values is meaningful. You
cannot have a natural zero point in interval data, and zero
does not represent the absence of the property being
measured.
i) Time and dates, as well as temperature, can be
measured using interval data. For instance, the time of
day is measured using interval data. Each minute
during the day is an equal, meaningful interval apart. It
has an arbitrary zero, at midnight, or midnight and
noon, that does not represent the absence of time.
ii) Another example of interval data is temperature. The
difference between each degree is equal and
meaningful, and zero degrees Fahrenheit does not
signify the absence of temperature. These are two of
the few examples of interval data, which is not very
common aside from measuring temperature and time.
