data visualization

Question 1

methods of data presentation

Answer 1

narrative: (textual)
presented in narrative form
used for small data sets and limited summaries
interpreting the data into text

graphical: (aka pictorial representations of numerical data)
deliver a specific message than to present data in a table
can show trends or patterns in a large set

tabular:
simplest method
used for all numerical data
present Trends, Interrelationship and Comparison among diff variables
shld be SIMPLE, DIRECT n CLEAR

Question 2

what are the parts of the table in tabular data presentation

Answer 2

table number: numbered consecutively
title: able to give complete info (who, what, where, when)
column heading: vertical, basis of classifications
row heading: horizontal, indicates the basis of classifications
body: intersection of a row and a body
footnotes: shld be places immediately below the bottom rule of the table
source of data: when data presented is not original to specify the source

Question 3

what are the pointers for graphical and tabular

Answer 3

graphical:
● 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 on an axis should represent equal numerical units

tabular:
● Positioning – place it immediately after the text where it is cited.
● Uniformity – it should be standard.
● Number of variables – should be limited.
● Self-explanatory – readers should be able to understand the context without referring to the explanation.
● Ruling – separation of rows and columns within the table.

Question 4

different types of graphs

Answer 4

bar chart or bar graph
histogram
frequency polygon
box plots
2 way scatter plots
line graph

Question 5

bar chart or bar graph

Answer 5

a popular type of graph to present a frequency distribution for nominal or ordinal data
useful for comparing data btwn diff classifications or categories

Question 6

histogram

Answer 6

portray frequency distribution for discrete or continuous data.

vertical scale should always begin in zero, if not = distorted

Question 7

frequency polygon

Answer 7

placing a point at each point at the center of each interval
points r connected by a straight line

Question 8

similar to histogram

Answer 8

frequency polygon

Question 9

2 way scatter plots

Answer 9

portray the relationship between 2 different continuous data
each point of the graph represents a pair of values
scales are positioned in horizontal and vertical axes

Question 10

box plots

Answer 10

portray frequency distribution for a discrete or continuous data
use single axis to display selected summaries of measurements

Question 11

line graph

Answer 11

illustrate the relationship between continuous quantities
intend to portray trends

Question 12

frequency distribution

Answer 12

display data into grps. shows how much data occurs in each grp
used to grp a large data set
variables (data) summarized into tables

Question 13

categories of data visualization

Answer 13

relationship

composition

comparison

distribution

Question 14

it shows connections and correlations between variables (example)

Answer 14

relationship (scatter plot, line chart)

Question 15

to demonstrate the parts that make up a whole (example)

Answer 15

composition (pie chart)

Question 16

to emphasize differences between data points or groups (example)

Answer 16

comparison (bar chart, line chart)

Question 17

to illustrate the spread and frequency of data points within a data set (example)

Answer 17

distribution (histogram, box plot)

Question 18

It is used to group large data set

Answer 18

Frequency distribution