bar chart present
TRANSCRIPT
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INTRODUCTION OF
BAR CHART
A bar chart or bar graphis a chart with rectangular bars
with length proportional to the values that they represent.
Bar charts are used for comparing two or more values
that were taken over time or on different conditions,
usually on small data sets.
Sometimes a stretched graphic is used instead of a solid
bar. It is a visual display used to compare the amount orfrequency of occurrence of different characteristics of data
and it is used to compare groups of data.
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Bar charts are one of the many techniques
used to present data in a visual form so
that the reader may readily recognize
patterns or trends
A bar chart may be either horizontal or vertical. The
important point to note about bar graphs is their bar
length or heightthe greater their length or height,
the greater their value.
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The numbers on the x-axisof a bar graph or the y-axis
of a column graph arecalled the scale
The bars depictfrequencies of differentvalues of a variable or
simply the differentvalues themselves.
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When developing bar graphs,
draw a vertical or horizontalbar for each category or
value.
The height or length of the
bar will represent the numberof units or observations in
that category (frequency) or
simply the value of the
variable.
Select an arbitrary but
consistent width for each bar
as well.
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There are two types of bar
chart :
horizontal bar charts
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vertical bar chart
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We should keep the following guidelines in mind when creating our
own bar graphs:
Make bars and columns wider than the space between them.
Do not allow grid lines to pass through columns or bars.
Use a single font type on a graph. Try to maintain a consistent font
style from graph to graph in a single presentation or document.
Simple sans-serif fonts are preferable.
Order your shade pattern from darkest to lightest on stacked bar
graphs. Avoid garish colours or patterns.
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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
Permit a visual check of the accuracy and reasonableness of calculation
Be easily understood due to widespread use in business
Good communication tool. It is easy to prepare(minimal cost), easy to
update and good for small objects
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Require additional explanation
Use only with discrete data
Fail to reveal key assumptions, causes, effects, or patterns
Do not show relationships between activities
Limited help for project control
Graph categories can be reordered to emphasize certain effects
Be easily manipulated to yield false impressions
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Example 1Malaysia is one of the country that has so many attractions such as beautiful islands,
beaches and highlands. These beautiful places had attract so many local and foreign
visitors to come and explore the unique of our country. At the same time, tourist
arrivals also contribute to our country income. Tourism Malaysia had make the
statistics on the tourist arrivals and receipts to Malaysia along 2001-2008. The statistics
is in the table below:
Year Arrivals (Million) Receipts (RM Billion)
2001 12.7 24.2
2002 13.2 25.7
2003 10.5 21.2
2004 15.7 29.6
2005 16.4 31.9
2006 17.5 36.2
2007 20.9 46
2008 22 49.5
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Year
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Example 2
YEAR TOWN RURAL
AREA
TOWN RURAL
AREA
2003 84.7 83.0 64.7 37.5
2004 79.8 79.9 56.7 37.3
2005 78.8 78.0 59.9 40.1
2006 78.8 78.8 58.5 38.1
2007 78.2 77.8 58.6 39.2
2008 78.9 78.7 59.4 40.9
BAHASA MELAYU (%) BAHASA INGGERIS (%)
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