[LEC2] Data Visualization Flashcards

1
Q

Methods of Data presentation

A

Narrative, Tabular & Graphical

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2
Q

The data is presented in anrrative form. This is typically used for small data sets and limited summaries.

A

Narrative or Textual

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3
Q

Interpreting the data whther in table or in chart or graphs and translate into text.

A

Narrative

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4
Q
  • The simplest method of data presentation
  • Can be e used for all numerical data
  • It can present trends, comparisons, and interrelationships among different variables.
  • A table should be simple, direct and clear.
A

Tabular

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5
Q

Numbered consecutively

A

Table Number

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6
Q
  • Able to give complete information
  • (Who, What, When, Where (4W))
  • Clear yet simple
A

Title

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7
Q

Indicates the basis of classification (Vertical)

A

Column Headings

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8
Q

Indicates the basis of classification (Horizontal)

A

Row Classifier

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9
Q

Intersection of a row and column

A

Body

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10
Q

Should be placed immediately below the button rule of the table

A

Footnotes

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11
Q
  • When the data presented is not original, it is obligatory to specify the source.
  • bottom of the table
A

Source of Data / Source Note

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12
Q

If we fail state our source then its _________

A

plagiarism

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13
Q

Place it immeditely after the text where it is cited

A

Positioning

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14
Q

When creating a table it should be ______, _______ and ______

A

simple, direct and clear

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15
Q

It should be standard

A

Uniformity

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16
Q

Should be limited

A

Number of Variables

17
Q

readers should be able to understand the context without referring to the explanation

A

Self-Explanatory

18
Q

Separation of rows and columns within the table

A

Ruling

19
Q

Also known as pictorial representations of numerical data.
- It is preferable to deliver a specific message that to present data in a table
- Can show trends or patterns in a large data set

A

Graphical

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

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

o in creating a histogram, determine the scales of axes; vertical scale should always begin in zero; if not, the comparison among intervals may be distorted

A

Histograms

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 Plots

24
Q

o used to portray the relationship between two different continuous data
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

25
Q

o used to illustrate the relationship between continuous quantities
o points in horizontal axis have a single corresponding measurement on the vertical axis
o adjacent points are connected by a straight line
o in the horizontal axis, mostly represents time
o intended to portray trends

A

Line Graph

26
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

27
Q

Categories of Data Visualization

A

▪ Relationship
▪ Composition
▪ Distribution
▪ Comparison