MODULE4 Flashcards

1
Q

What are the advantages of Data Visualization?

A

• Intuitive
• Simple data sharing
• Quicker Decisions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are disadvantages of Data Visualization?

A

• Improper visualization
• Incorrect conclusions
• Bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What are the Importance of Data Visualization?

A

Data Visualization Simplifies the Complex Data
Enhances Data Interpretation
Data Visualization Saves Time
Data Visualization Tells a Data Story

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Large and complex data sets can be challenging to understand. Data visualization helps break down complex
information into simpler, visual formats making it easier for the audience to grasp.

A

Data Visualization Simplifies the Complex Data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Visualization highlights patterns, trends, and correlations in data that might be missed in raw data form. This
enhanced interpretation helps in making informed decisions.

A

Enhances Data Interpretation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

It is faster to gather some insights from the data using data visualization rather than just studying a chart.

A

Data Visualization Saves Time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Data visualization is also a medium to tell a data story to the viewers. The visualization can be used to present the
data facts in an easy-to-understand form while telling a story and leading the viewers to an inevitable conclusion.
This data story should have a good beginning, a basic plot, and an ending that it is leading towards.

A

Data Visualization Tells a Data Story

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Data visualization is also a medium to tell a data story to the viewers.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

______ provide the clearest graphical representation of time- related variables and are the preferred
mode for representing trends or variables over time.

A

Line charts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

_____ is a type of graph in which a circle is divided into sectors that each represent a proportion of the
whole.

A

Pie chart

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

_____uses dots to represent values for two different variables and observe relationships between
variables.

A

Scatter plot

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

______ provide a graphical summary of categorical and quantitative data. Bar and column charts are very helpful in making comparisons between categorical variables.

A

Bar charts and Column charts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

______is a graphical way to show the frequency distribution of a set of continuous data. This means it shows how often different values within a given range occur.

A

Histogram

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

To compare different categories of data.

A

Bar chart

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

To display the distribution of a variable.

A

Histogram

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

The type of variable is categorical.

17
Q

The type of variable is numeric.

18
Q

Each data point is rendered as a separate bar.

19
Q

The data points are grouped and rendered based on the bin value. The entire range of data value is divided into series of non-overlapping intervals.

20
Q

Reordering bars for____ can be reorder.

21
Q

The reordering bars cannot be reordered.

22
Q

______ also known as a_______, is a graphical representation of the distribution of a dataset. It displays the following key elements

A

Box plot
box-and-whisker plot

23
Q

The central line within the box represents the median of the data.

24
Q

The first quartile (25%) position.

25
The third quartile (75%) position.
Q3
26
These represent the limits and boundaries for the outliers.
Lower and upper 1.5*IQR whiskers
27
Defined as observations that fall below Q1 − 1.5 IQR or above Q3 + 1.5 IQR.
Outliers
28
Best used when showing trends over time or continuous data
Line graph
29
Best used when showing the relationship between two numerical variables.
Scatter plot
30
Best used when comparing distinct categories or show in changes over time with larger differences.
Bar graph
31
Best used when displaying the distribution of a single numerical variable
Histogram
32
Best used the showing parts of a whole, typically with categorical data.
Pie chart
33
Best used when comparing the distribution of a numerical variable across different categories, identifying outliers
Box plot
34
is the representation of data through use of common graphics, such as charts, plots, infographics and even animations.
Data Visualization
35
is the representation of data through use of common graphics, such as charts, plots, infographics and even animations.
Data Visualization