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 calculations
be easily understood due to widespread use in business and the media
Disadvantages
require additional explanation
be easily manipulated to yield false impressions
fail to reveal key assumptions, causes, effects, or patterns
Best Anil, When applicable please mark the correct/appropriate replies as "solution" (you can mark up to 3 "solutions". Please LIKE threads if the provided solution is helpful
When comparing a set of items side by side to show the quantitative behaviors, utilize bar charts.
Bar charts are classic diagrams that usually give a good picture of the data. Their main problem is that when there are many bars, labeling becomes problematic. Therefore, it is recommended to use a scroll-bar in the chart to display the first "n" bars. It is critical to sort by Y-value in that case.
They also imply that the data is discrete; if your data is something that is plausibly continuously changing over time, for instance, you might consider a line graph instead.
