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Data collection considerations - 🧠ANSWER ✔✔1. Select the right data type
2. Determine the time frame for data collection 3. How the data will be
collected 4. How much data to collect 5. Choose data sources 6. Decide
what data to use
Population - 🧠ANSWER ✔✔All possible data values in a certain dataset
Sample - 🧠ANSWER ✔✔A part of the population that is representative of
the population
First-party data - 🧠ANSWER ✔✔Data collected by an individual or group
using their own resources
,Second-party data - 🧠ANSWER ✔✔Data collected by a group directly from
its audience and then sold
Third-party data - 🧠ANSWER ✔✔Data collected from outside sources who
did not collect it directly
Internal data (Primary data) - 🧠ANSWER ✔✔Collected by a researcher
from first-hand sources
External data (Secondary data) - 🧠ANSWER ✔✔Gathered by other people
or from other research
Quantitative data - 🧠ANSWER ✔✔Can be measured and counted using
numbers (quantity, amount, range)
Qualitative data - 🧠ANSWER ✔✔Cannot be counted, measured or easily
expressed in numbers (names, categories, descriptions)
Discrete data - 🧠ANSWER ✔✔Data that is counted and has a limited
number of values
Continuous data - 🧠ANSWER ✔✔Data that is measured and can have any
numeric value
, Nominal data - 🧠ANSWER ✔✔A type of qualitative data that is categorized
without a set order
Ordinal data - 🧠ANSWER ✔✔A type of qualitative data with a set order or
scale
Structured data - 🧠ANSWER ✔✔Data organized in a certain format such as
rows and columns
Unstructured data - 🧠ANSWER ✔✔Data that is not organized in an easily
identifiable manner
Data model - 🧠ANSWER ✔✔A model that is used for organizing data
elements and how they relate to one another
Data elements - 🧠ANSWER ✔✔Pieces of information, such as people's
names, account numbers, and addresses
Data modeling - 🧠ANSWER ✔✔The process of creating diagrams that
visually represent how data is organized and structured
Levels of data modeling - 🧠ANSWER ✔✔1. Conceptual modeling 2. Logical
data modeling 3. Physical data modeling
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