Are you struggling with choosing the right type of graph to represent your data set? if yes then have a look at this presentation to choose the best statistics graph to represent your data set.

1. 01 Top 7 Types of
Statistics Graphs
for Data
Representation
Statanalytica
01

2. Overview
Statistics is one of the most crucial parts of our life.
Without statistics, data is nothing. We can’t 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.
02
02

3. 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.
Pareto Diagram or Bar
Graph
03
03

4. 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.
Pie Chart or Circle Graph
04
04

5. 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.
Histogram
05
05

6. 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 Bowley’s
work. Most of the statisticians use it for data analysis work.
Stem and Leaf Plot
06
06

7. 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.
Dot Plot
07
07

8. 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.
Scatterplots
08
08

9. 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.
Time-Series Graphs
09
09

10. Conclusion
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.
10
10

11. website
https://statanalytica,com
Email
info@statanalytica.com Contact Us
11
11