Data Visualization Flashcards

1
Q

Methods of Data Presentation

A

Narrative, Tabular, Graphical

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2
Q

o data is presented in narrative form’
o typically used for small data sets and limited summaries
o interpret or translate the data into text

A

narrative

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3
Q

other term for narrative

A

o also called Textual

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4
Q

Graphical is also know as

A

also known as Pictorial Representations of Numerical Data

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5
Q

preferable to deliver a specific message than to present data in a table

A

Graphical

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6
Q

can show trends or patterns in a large data set

A

Graphical

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7
Q

Pointers in Creating a Graphical Presentation

A

Self-explanatory
▪ Scales should be properly labeled
▪ Trend lines should be properly identified through
labels or legends
▪ Grids may be used as a guide
▪ Should be devoid of unnecessary trimmings and
draftsmanship
▪ Scales should start with zero
▪ Use colors for emphasis or differentiation
▪ On an arithmetic scale, equal distances between
tick marks an axis should represents equal
numerical units

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8
Q

o simplest method of data presentation
o can be used for all numerical data
o can present trends, comparisons, and
interrelationships among different variables

A

Tabular

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9
Q

A table should be

A

simple, direct, and clear

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10
Q

Parts of a Table

A

Table number, Title, Captions, Stubs, Source note, Footnote

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11
Q

A table number should be

A

o numbered consecutively

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12
Q

A title should be

A

able to give complete information – who, what, where

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13
Q

indicates the basis of classification (Vertical)

A

Column Headings/ captions

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14
Q

o indicates the basis of classification
(Horizontal)

A

Row Headings (stubs)

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15
Q

intersection of a Row and a Column

A

Body

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16
Q

should be placed immediately below the bottom rule of the table

A

Footnote

17
Q

when the data presented is not original, it is obligatory to specify the source

A

Source of data

18
Q

Pointers in Creating a Table

A

▪ Positioning
o place it immediately after the text where it is cited
▪ Uniformity
o should be standard
▪ Number of Variables
o should be limited
▪ Self-explanatory
o readers should be able to understand the context without referring to the explanation
▪ Ruling
o separation of rows and column within the table

19
Q

Different Types of Graphs

A

Bar chart, Histogram, Box plot, 2-way scatter plot, line graph, frequency polygon

20
Q

o a popular type of graph to present a frequency distribution for nominal or ordinal data
o useful for comparing data between different classifications or categories

A

Bar Chart/Graph

21
Q

commonly used type of graph to portray frequency distribution for discrete or continuous data

determine the scales
of axes; vertical scale should always begin in ZERO; if not, the comparison among intervals
may be distorted

A

Histogram

22
Q

o similar to histogram
o placing a point at the CENTER of each interval
o points are connected by a STRAIGHT LINE

A

Frequency Polygon

23
Q

o commonly used type of graph to portray
frequency distribution for a discrete or
continuous data
o uses a SINGLE AXIS to display selected summaries of measurements

A

box plot

24
Q

used to portray the relationship between two different continuous data

A

Two-way Scatter Plots

25
Q

o each point on the graph represents a pair of
value
o scales are positioned in horizontal and vertical axis

A

Two-way Scatter Plots

26
Q

o used to illustrate the relationship between continuous quantities
o points in horizontal axis have a single corresponding measurement on the vertical
axis

ADJACENT points are connected by a STRAIGHT line

o intended to portray trends

A

line graph

27
Q

in a line graph horizontal axis represents

A

time

28
Q

▪ display the data into groups
▪ shows how many data occur in each group
▪ used to group a large data set
▪ variables (data) summarized into tables

A

frequency distribution

29
Q

shows connections and correlations between
variables

give example

A

Relationship

o ex. Scatter Plot, Line Chart

30
Q

o to demonstrate the parts that make up a
whole

give example

A

▪ Composition

o ex. Pie Chart

31
Q

to emphasize differences between data
points or groups

give example

A

Comparison

o ex. Bar Chart, Line Char

31
Q

o to illustrate the spread and frequency of data
points within a data set

A

▪ Distribution

ex. Histogram, Box Plot