MIS 0855 Data Science Exam 1- Temple
3 V's of Big Data - ANSWER-Volume, Velocity, and Variety
4 Steps Turning Data into Information: Collection - ANSWER-Collection
Organization
Explanation
Generalization
8 Core Principles of Data Visualzation - ANSWER-Simplify
Compare
Attend
Explore
Ask Why
View Diversely
Be skeptical
Respond
Bar Chart
Line Chart
Pie Chart
Map
Scatter Plot
Gantt Chart
Bubble Chart
Histogram
Bullet Chart
Treemap
Boxplot - ANSWER-Comparing Data across categories
trends over Time
Show relative proportions or %
Location Data
relationship between different variables
project schedule, things over time
concentration of data on two axes
distribution of data
evaluate performance against goal
show relative size of variables/hierarchical data as proportion
show distribution of set of data
Basic Principles of Data Visualizations: - ANSWER-Simplify
Compare
Attend
Explore
View Diversity
, Categorical Data - ANSWER-Categorical variables contain a finite number of categories
or distinct groups
Continuous Data - ANSWER-not restricted to defined values, infinite values
Danger of Big Data - ANSWER-easy to find what's not really there
direction of causality can be tricky
"Dirty" data is everywhere
Data Dictionary: - ANSWER-a set of information describing the contents, format, and
structure of a database and the relationship between its elements, used to control
access to and manipulation of the database.
Data Mining - ANSWER-the practice of examining large databases in order to generate
new information.
Data Science & Science - ANSWER-study of the generalizable extraction of knowledge
from data
- knowledge of study of the natural world based on facts learned from experiments or
observation
Data Types - ANSWER-Integers (whole numbers), floating point (real numbers with
decimal), strings (group of characters), and Boolean (true or false).
Data types called in Excel & tableau - ANSWER-integer E-number T-number (whole)
Floating point E-number, T-number (decimal)
Boolean E-N/a T-boolean
string E-test T-string
Date/time E-date T-date&time
Data Veracity: - ANSWER-the accuracy and truthfulness of the data band the analytic
outcomes of those data
Data Visualization - ANSWER-Usually makes one point
quantifiable, numbers
should be objective
likely presented without context
visual representation of data
3 V's of Big Data - ANSWER-Volume, Velocity, and Variety
4 Steps Turning Data into Information: Collection - ANSWER-Collection
Organization
Explanation
Generalization
8 Core Principles of Data Visualzation - ANSWER-Simplify
Compare
Attend
Explore
Ask Why
View Diversely
Be skeptical
Respond
Bar Chart
Line Chart
Pie Chart
Map
Scatter Plot
Gantt Chart
Bubble Chart
Histogram
Bullet Chart
Treemap
Boxplot - ANSWER-Comparing Data across categories
trends over Time
Show relative proportions or %
Location Data
relationship between different variables
project schedule, things over time
concentration of data on two axes
distribution of data
evaluate performance against goal
show relative size of variables/hierarchical data as proportion
show distribution of set of data
Basic Principles of Data Visualizations: - ANSWER-Simplify
Compare
Attend
Explore
View Diversity
, Categorical Data - ANSWER-Categorical variables contain a finite number of categories
or distinct groups
Continuous Data - ANSWER-not restricted to defined values, infinite values
Danger of Big Data - ANSWER-easy to find what's not really there
direction of causality can be tricky
"Dirty" data is everywhere
Data Dictionary: - ANSWER-a set of information describing the contents, format, and
structure of a database and the relationship between its elements, used to control
access to and manipulation of the database.
Data Mining - ANSWER-the practice of examining large databases in order to generate
new information.
Data Science & Science - ANSWER-study of the generalizable extraction of knowledge
from data
- knowledge of study of the natural world based on facts learned from experiments or
observation
Data Types - ANSWER-Integers (whole numbers), floating point (real numbers with
decimal), strings (group of characters), and Boolean (true or false).
Data types called in Excel & tableau - ANSWER-integer E-number T-number (whole)
Floating point E-number, T-number (decimal)
Boolean E-N/a T-boolean
string E-test T-string
Date/time E-date T-date&time
Data Veracity: - ANSWER-the accuracy and truthfulness of the data band the analytic
outcomes of those data
Data Visualization - ANSWER-Usually makes one point
quantifiable, numbers
should be objective
likely presented without context
visual representation of data
