Top 7 types of Statistics Graphs for Data Representation

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Top 7 Types of Statistics Graphs for Data
Representation
Statanalytica
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Statistics is one of the most crucial parts of
our life. Without statistics, data is nothing. We
cant utilize different data without the use of
statistics. Therefore the significant role of
statistics is to represent the data in a
meaningful way. In this way, anyone can
understand the data without in-depth knowledge of
statistics. Most of the time, the statistics data
sets contain massive amounts of values. It is
hard to represent these values in the form of
lists and articles. That is why the graphs come
into existence to represent the aggregate
statistic value in clean and well-managed order.
Here in this blog, we will share with you the top
7 types of statistics graphs commonly used in
statistics.
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Overview
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Pareto Diagram or Bar Graph
A Pareto diagram is also known as a bar chart. It
is the best way to represent the qualitative
data. It was developed in the early 1900s by
Vilfredo Pareto. He used this graph to conduct
his study on wealth and poverty. This chart
offers two ways to display the data. You can
either represent the data horizontally or
vertically. You can use it to compare data, such
as amounts, characteristics, times, and
frequency. The bar of this graph is emphasized
with essential categories. You can quickly get an
idea from this bar that which category has the
highest amount of data. There are three types of
bars in this chart i.e., single, stacked, and
grouped.
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Pie Chart or Circle Graph
A circle graph is also known as Pie charts. It is
also one of the widely used statistics graphs in
the world. Statisticians commonly used these
graphs to represent the data graphically. As the
name suggests, this graph looks like a circular
pie with a few slices. Besides, we use this type
of statistics graph to represent that qualitative
data. Qualitative data means the data is not
presented in numerical form. Besides, we put the
different categories in each slice of the pie.
The size of slices varies upon the data. Some
slices might be more significant, and some might
be smaller.
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Histogram
The histogram is another best statistics graph to
represent the data. We use it to express
quantitative data. In this graph, the range of
values is known as classes. If the classes
contain the lower frequencies, then it would have
the shorter as compared with the taller ones that
contain, the higher frequency. Most of the
students get confused with the bar chart and the
histogram. Because both of these look quite
similar. But these graphs are different from each
other in terms of the data measurement levels. In
bar charts, the frequency of categorical data is
the primary factor. While in the histogram, the
data with ordinal values are the primary factor.
Ordinal values are not easily measured i.e.,
feelings, opinions, suggestions.
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Stem and Leaf Plot
A stem and leaf plot is one of the best
statistics graphs to represent the quantitative
data. This graph breaks each value of a
quantitative data set into two pieces. These
pieces are often known as the stem and the leaf.
Furthermore, the higher places values are known
as the stem, and the other places values are
known as the leaf. We can list all the data
values in a compact form with the help of this
graph. It is a device that is used to represent
the data set. It evolved in the early 1900s from
Arthur Bowleys work. Most of the statisticians
use it for data analysis work.
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Dot Plot
It is not that much of a famous statistics graph.
Most of the experts say that it is a hybrid of
the histogram and a stem and leaf plot. In this
type of graph, each value is represented as the
dot, and this dot is placed above the appropriate
class. We use this graph to represent
quantitative data values. Likewise, we use the
rectangles and bars in histograms. In the same
way, we use the dots which are joined with the
help of simple lines. We use these graphs to
compare the data of many individuals.
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Scatterplots
Scatterplots graphs are one of the famous
statistics graphs that use in most of the
powerful statistics software. It is used to
display data based on the horizontal axis and
vertical axis. I have mentioned earlier that the
statistics tools of correlation of regression are
used to show trends with the scatterplot. In the
scatterplot, the lines or curve is used to show
the data. This chart goes upside down and left to
right. Scatter means to place the points at
different places to each other. It is the
statistics chart to uncover the potential of the
dataset.
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Time-Series Graphs
The time-series graph is one of the most popular
statistics graphs among statisticians. It is used
to represent the data points in time. It is the
statistics graph that is used for a certain kind
of paired data. We use this graph to measure the
trends over a certain period of time. Here in
this statistics graph, the timeframe can contain
the minutes, hours, days, months, years, decades,
or even centuries.
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All these seven types of statistics graphs are
the major ones. Apart from that, there are other
types of statistics graphs, too i.e., the
statistics bar graphs, statistics misleading
graphs, statistics line graphs, and even
statistics bad graphs. Most of the statistics
students are also well aware of exponentials
graphs, logarithmic graphs, trigonometric graphs,
cartesian graphs, and frequency distributions
graphs. Now you will be more confident about the
use of graphs for different kinds of data. At
last, I would like to say that you should use the
right statistics graph as per your data set.
Conclusion
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