The document discusses different types of charts including column charts, bar charts, pie charts, line charts, area charts, stock charts, radar charts, bubble charts, scatter charts, and combo charts. For each chart type, the document outlines typical uses, advantages, and disadvantages. It provides an example of each chart type to illustrate how the chart can be constructed and interpreted.

1. DIFFERET TYPES OF CHARTS
USES, ADVANTAGES & DISADVANTAGES
MD. ZAKARIA SALIM
STUDENT ID: 1417052
Khulna University of Engineering & Technology
OCTOBER 23, 2016
DepartmentofURBANANDREGIONALPLANNING

2. Column Chart
A column chart is a graphic representation of data. Column charts display vertical bars going
across the chart horizontally, with the values.
Uses:
 Ranges of values (for example, item counts)
 Changes of data over a period of time or illustrates comparisons among items
 Names that are not in any specific order (for example, item names, geographic names, or
the names of people)
Advantages:
 Show each data category in a frequency distribution
 Display relative numbers or proportions of multiple categories
 Summarize a large data set in visual form
 Clarify trends better than do tables
 Estimate key values at a glance
Disadvantages:
 Often require additional explanation
 Fail to expose key assumptions, causes, impacts and patterns
 Can be easily manipulated to give false impressions
Example:
Exam English Bangla Math
Tipu 72 75 89
Setu 62 78 65
Raju 82 76 95
Nibir 51 70 78
72
62
82
51
75 78 76 70
89
65
95
78
0
20
40
60
80
100
Tipu Setu Raju Nibir
Column Chart
English Bangla Math

3. Bar Chart
A bar chart or bar graph is a chart that presents grouped data with rectangular bars
with lengths proportional to the values that they represent.
Uses:
 The category test is long
 The chart shows duration
Advantages:
 show each data category in a frequency distribution
 display relative numbers or proportions of multiple categories
 summarize a large data set in visual form
 clarify trends better than do tables
 estimate key values at a glance
Disadvantages:
 require additional explanation
 be easily manipulated to yield false impressions
 fail to reveal key assumptions, causes, effects, or patterns
Example:
Country 2014 2015 2016
Bangladesh 0.5 0.38 0.12
India 0.81 0.69 0.28
Pakistan 0.66 0.25 0.33
0.5
0.38
0.12
0.81
0.69
0.28
0.66
0.25
0.33
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
BANGLADESH
INDIA
PAKISTAN
Bar Chart
Pakistan India Bangladesh

4. Pie Chart
A pie chart (or a circle chart) is a circular statistical graphic, which is divided into slices to illustrate
numerical proportion.
Uses:
 Only one data series can be plotted.
 None of the values that will be plotted are negative.
 Almost none of the values that will be plotted are zero values
Advantages:
 display relative proportions of multiple classes of data.
 size of the circle can be made proportional to the total quantity it represents.
 summarize a large data set in visual form.
 visually simpler than other types of graphs.
 permit a visual check of the reasonableness or accuracy of calculations.
Disadvantages:
 do not easily reveal exact values
 Many pie charts may be needed to show changes over time
 fail to reveal key assumptions, causes, effects, or patterns
 be easily manipulated to yield false impressions
Sectors Expenditure (%)
Food 25
Education 40
Health 35
25
40
35
Pie Chart
Food
Education
Health

5. Line Chart
A line chart or line graph is a type of chart which displays information as a series of data points
called 'markers' connected by straight line segments.
Uses:
If the category labels are text, and are representing evenly spaced values such as months,
quarters, or fiscal years then line chart should be used.
Advantages:
 The timeline for a tracked event can easily be plotted along an x/y axis
 Two or more items can be compared to cross points
 Line graphs can use color or different line styles such as dots or dashes
Disadvantages:
 Extremely inaccurate if you try to draw it freehand
 Difficulties to plot decimal or fraction numbers
Example:
Month Karim Rahim Babul
January 5 3 1
February 2 4 7
March 3 5 9
5
2
33
4
5
1
7
9
JANUARY FEBRUARY MARCH
Line Chart
Karim Rahim Babul

6. Area Chart
An area chart or area graph displays graphically quantitative data. It is based on the line chart.
The area between axis and line are commonly emphasized with colors, textures and hatchings.
Commonly one compares with an area chart two or more quantities.
Uses:
Area charts emphasize the magnitude of change over time, and can be used to draw attention to
the total value across a trend. For example, data that represents profit over time can be plotted in
an area chart to emphasize the total profit. By displaying the sum of the plotted values, an area
chart also shows the relationship of parts to a whole.
Advantages:
 Displays graphically quantitative data in a relatively simple format
Disadvantages:
 Series with lesser values may be completely hidden behind series with greater values in
2-D Area Chart
 Difficult to read
Example:
Time Canada India
01-05-02 32 12
01-06-02 32 12
01-07-02 28 12
01-08-02 12 21
01-09-02 15 28
0
5
10
15
20
25
30
35
40
45
50
01-05-02 01-06-02 01-07-02 01-08-02 01-09-02
Area Chart
India
Canada

7. Stock Chart
Data that is arranged in columns or rows in a specific order on a worksheet can be plotted in a
stock chart. Data must be organized in the correct order to create stock charts. The way stock chart
data is organized in the worksheet is very important.
Uses:
 Data that is arranged in columns or rows in a specific order on a worksheet can be
plotted in a stock chart
 Data must be organized in the correct order to create stock charts.
Advantages:
 It’s used for price forecasting. This helps investors make informed investment decisions.
 The direction of the stock market trend is identified using stock chart.
 Entry and exit strategy is recommended for short and long-term trading in stock chart.
Disadvantages:
 One of the technical indicators will show a buy signal and another indicator will show a
sell signal. This causes confusion in trading decisions. This is one of the disadvantages of
stock chart.
 The forecasting accuracy isn’t 100% at stock chart.
 There has biased opinion in stock chart.
Example:
Time Open High Low Close
01-05-02 20 12 14 15
01-06-02 32 34 21 56
01-07-02 21 45 32 47
01-08-02 56 58 11 34
01-09-02 29 32 76 37
0
20
40
60
80
01-05-02 01-06-02 01-07-02 01-08-02 01-09-02
Stock Chart
Open
High
Low
Close

8. Radar Chart
A radar chart is a graphical method of displaying multivariate data in the form of a two-
dimensional chart of three or more quantitative variables represented on axes starting from the
same point.
Uses:
One application of radar charts is the control of quality improvement to display the performance
metrics of any ongoing program. They are also used in sports to chart players' strengths and
weaknesses, where they are usually called spider charts.
Advantages:
 Allows comparison of several variables which cannot be placed in a particular or size
of importance.
 Shape and size of the polygon gives a good visual summary.
Disadvantages:
 Very specialized used.
Example:
Time Humidity Temperature
01-05-02 32 12
01-06-02 32 12
01-07-02 28 12
01-08-02 12 21
01-09-02 15 28
0
10
20
30
40
01-05-02
01-06-02
01-07-0201-08-02
01-09-02
Radar Chart
Humidity
Temoerature

9. Bubble Chart
A bubble chart is a type of chart that displays three dimensions of data. Each entity with its
triplet of associated data is plotted as a disk that expresses two of the values through the disk's xy
location and the third through its size.
Uses:
Bubble charts can facilitate the understanding of social, economical, medical, and other scientific
relationships. In architecture, the term "bubble chart" is also applied to a first architectural sketch
of the lay out constructed with bubbles.
Advantages:
 It is especially useful for data sets with dozens to hundreds of values, or with values that
differ by several orders of magnitude.
 It is best for positive values.
Disadvantages:
 It looks like an ugly left-to-right variant of insertion sort.
Example:
Time Production Size
0.7 2.7 10
1.8 3.2 4
2.6 0.8 8
0
0.5
1
1.5
2
2.5
3
3.5
4
0 0.5 1 1.5 2 2.5 3 3.5
Bubble Chart
Production

10. Scatter Chart
The graphs which shows how two sets of data are related to each other is called Scatter plot Graph.
The data are plotted across a number of dots, for example the below scatter graph shows the
relation between number of years the plant grows with respect to their size or height.
Uses:
The scatter diagram is used to find the correlation between these two variables. This diagram shows
how closely the two variables are related. After determining the correlation between the variables,
you can easily predict the behavior of the other variable.
Advantages:
 It shows the relationship between two variables.
 It is the best method to show you a non-linear pattern.
 The range of data flow, i.e. maximum and minimum value, can be easily determined.
 Observation and reading is straightforward.
 Plotting the diagram is relatively simple.
Disadvantages:
 Scatter chart is unable to give you the exact extent of correlation.
 Scatter diagram does not show you the quantitative measure of the relationship between
the variable. It only shows the quantitative expression of the quantitative change.
 This chart does not show you the relationship for more than two variables.
Example:
Year Income
1 5000
2 6000
3 10000
4 12000
5 15000
6 18000
7 21000

11. Combo Chart
The combo chart is a visualization that combines the features of the bar chart and the line chart.
The combo chart displays the data using a number of bars and/or lines, each of which represent a
particular category.
Uses:
 to present measure values that are normally hard to combine because of the significant
difference in value ranges
 to compare values of the same value range
Advantages:
 The combo chart is the best choice when combining several measures of different value
ranges
Disadvantages:
 Only supports one dimension.
Example:
Year Bicycle sold Average price per bycle
1999 110 305
2000 120 290
2001 140 205
2002 210 150
2003 305 120
0
5000
10000
15000
20000
25000
0 1 2 3 4 5 6 7 8
ScatterChart

12. 0
50
100
150
200
250
300
350
0
500
1000
1500
2000
2500
1 2 3 4 5
Combo Chart
Year Bicycle sold Average price per bycle