This document discusses different types of statistical graphs used to represent data. There are 11 types of graphs including box plots, stem-and-leaf plots, frequency polygons, scatter plots, line graphs, bar graphs, histograms, pictographs, map charts, pie charts, and line plots. The key graphs discussed are line graphs for continuous data, bar graphs for discrete data, pie charts showing data as percentages, and histograms which are like bar graphs but show continuous data in columns. A histogram example is provided to illustrate how frequency distribution tables are used to construct the graphs.

1. Statistics graph
Data recorded in surveys are
displayed by a statistical graph.
There are some specific types of
graphs to study in the data
statistics graphs. There are eleven
type of graphs used in Data
statistics graphs

2. Type of graphsType of graphs
Box plot,
Stem and leaf plot,
Frequency polygon,
Scatter plot,
Line graph,
Bar graph,
Histogram,
Pictograph,
Map chart,
Pie chart,
Line plot.

3. Introduction to types of
statistical graphs:
Let us see some content about types of
statistical graphs. The statistical data's are
used to represent by some graphs format.
The statistical data's are either continuous or
discontinuous. There are more types of
statistical graphs. Each and every graph is
used in various purposes. The graphs and
charts are commonly used by the business
trends.

4. Types of Statistical Graphs:
There are several types of statistical data.
Each graph is used to show the data levels of the
business without the any calculations. The types of
statistical graphs are following below:
Statistical graph 1: Line graph.
Statistical graph 2: Bar graph.
Statistical graph 3: Pie chart.
Statistical graph 4: Histogram.
Statistical graph 5: Scatter plot.
These are the types of the statistical graphs
used to draw the statistical data's.

5. Statistical graph 1: Line graph:
The line graph is used to conspire
the continuous data. The data's are
plotted as points. The points are
joined by the lines. This graph is
used to compare multiple data sets.
But the line graph only using
continuous data's.

6. This is the symbolization of the
line graph.

7. Linear diagram

8. Linear diagram

9. Statistical graph 2: Bar graph:
The bar graph displays discrete data in
disconnect columns. A double bar
graph can be used to evaluate two
data sets. It is visually muscular. It is
used to easily evaluate two or three
data sets. It uses only discrete data.

10. This is the symbolization of the
bar graph.

11. Statistical graph 3: pie chart:
The pie chart displays data as a
percentage of the whole. It
displays the percentage of each
category. But, it has no exact
data's.

12. This is the symbolization of the
pie chart.

13. Sector diagram

14. Statistical graph 4: Histogram:
The histogram shows the
continuous data in order to
columns. It is same as the line
graph but it is represented as in
column format.

15. This is the histogram for the
given statistical data.

16. Graphical Representation of
Statistical Data
A histogram is a
two-dimensional
graphical
representation of a
continuous
frequency
distribution.
A histogram is a
special type of bar
diagram.

17. Histogram
A histogram is a way of summarizing data
pictorially. Histograms show the distribution
of the data.
They are constructed from a frequency table,
which is a summary of the data. The general
format
for a histogram is a vertical scale that
demonstrates frequencies and a horizontal
scale that
represents the individual intervals, sometimes
called classes. Bars are used to represent
each
individual interval with the height of the bar
corresponding to the frequency.

18. A histogram is drawn according to the
steps given below.
Prepare a grouped frequency
distribution table of the given data.
Show class-limits on X-axis with a
suitable scale.
Show frequencies on Y-axis with a
suitable scale.
Draw rectangles having base equal to
the class limits and heights
proportional to the frequencies. These
rectangles should be joined to each
other.

19. A frequency distribution
table is shown below
Class ( Cost of saree in
Rs.)
Frequency ( No. of
sarees sold in a week)
100 – 200 12
200 – 300 28
300 – 400 37
400 – 500 23
500 – 600 20
600 – 700 14
700 – 800 09

20. Histogram

21. The following points can be inferred
from the above histogram.
It is not necessary that the scale on
the X-axis and the Y-axis be the
same. Different scales may be taken
on the axes considering the nature
of the data, size of the paper etc. A
histogram should look neat and
attractive.
The position of origin on the Y-axis
is according to the scale, which is
not so on the X - axis. This is
indicated by drawing √mark on

22. The X-axis near the origin. If
necessary, the mark can be made
on the Y-axis or on both axes.
In a histogram, it is necessary that
the adjacent rectangles be attached
to each other. Therefore, if the
given classes are not continuous, it
is necessary to make them
continuous e.g.; if the classes are 2
to 5, 6 to 9, 10 to 13,…. It should be
as 1.5 to 5.5, 5.5 to 9.5, 9.5 to 13.5…

23. Statistical graph 5: Scatter
plot:
The scatter pot shows the
relationship between two factors
of the experiment. It displays the
relationship between two data's.

24. This is the example of the scatter
plot.

25. WHAT IS A CARTOGRAM?
A cartogram is a colored map
that gives a graphical
representation of statistical data.
It is used for an immediate view
of a phenomenon or behavior.

26. CARTOGRAM

27. CARTOGRAM