Explain how knowledge can be generated from data.
Describe the impact of gathering data
Learning Objective: Describe what information can be extracted from data
DAT-2.A.1
Information is the collection of facts and
patterns extracted from data.
DAT-2.A.2
Data provide opportunities for identifying
trends, making connections, and addressing
problems.
DAT-2.A.3
Digitally processed data may show correlation
between variables. A correlation found in data
does not necessarily indicate that a causal
relationship exists. Additional research is
needed to understand the exact nature of
the relationship.
DAT-2.A.4
Often, a single source does not contain the
data needed to draw a conclusion. It may be
necessary to combine data from a variety of
sources to formulate a conclusion.
Learning Objective: Describe what information can be extracted from
metadata.
DAT-2.B.1
Metadata are data about data. For example,
the piece of data may be an image, while the
metadata may include the date of creation or
the file size of the image.
DAT-2.B.2
Changes and deletions made to metadata do
not change the primary data.
DAT-2.B.3
Metadata are used for finding, organizing, and
managing information.
DAT-2.B.4
Metadata can increase the effective use of
data or data sets by providing additional
information.
DAT-2.B.5
Metadata allow data to be structured and
organized.
Learning Objective: Identify the challenges associated with processing
data.
DAT-2.C.1
The ability to process data depends on the
capabilities of the users and their tools.
DAT-2.C.2
Data sets pose challenges regardless of size,
such as:
the need to clean data
incomplete data
invalid data
the need to combine data sources
DAT-2.C.3
Depending on how data were collected, they
may not be uniform. For example, if users enter
data into an open field, the way they choose to
abbreviate, spell, or capitalize something may
vary from user to user.
DAT-2.C.4
Cleaning data is a process that makes the data
uniform without changing their meaning (e.g.,
replacing all equivalent abbreviations, spellings,
and capitalizations with the same word).
DAT-2.C.5
Problems of bias are often created by the type
or source of data being collected. Bias is not
eliminated by simply collecting more data.
https://www.khanacademy.org/computing/ap-computer-science-principles/data-analysis-101
https://quizlet.com/395428857/ap-computer-science-principles-terms-data-and-information-flash-cards/
https://docs.google.com/document/d/1JZJ5-kZoHb6xI7B4Ua5EHwaS1UiLoeM8i6YUNAAbaEM/edit ; https://docs.google.com/document/d/1KC2wlSjvxZxZqZiezrtUZrPsGumkI70hkJDagR1gNDE/edit