Bar-graphs : Representation and Reading

overview

In this page, the following are explained.

• Reading a bar-graph of given data

• Representation of two sets of data using bar-graphs

• Representation of data using pie-charts

recap

The figure is a bar-graph representation of a data.

The data is represented with horizontal or vertical bars.

This representation is spatially laid out for users to easily understand comparative measures like

which one is the largest

which one is the smallest

which ones are comparatively equal.

reading a bargraph

Consider the data: Number of glasses of water students drink during the school time. The data can be given in bar-graph with, the number of students in vertical axis and number of glasses in horizontal axis.

The bar graph representation is given in the figure. The horizontal axis is the number of glasses and the vertical axis is the number of students. The height of each bar is given for clarity.

A bar of height $11$ at position $1$ provides information that $11$ students had $1$ glass of water.

The height of bar at the position $3$ glasses water is $6$. That indicates, $6$ students drank $3$ glasses of water.

another bargraph

Consider the given bar graph. This represents the messages sent by a person. The data is number of sentences in a message and the number of messages with the given number of sentences.

The height of bar at the position $1$ (number of sentences) is $2$ number of messages. That indicates that, $2$ messages were sent with $1$ sentence each.

The message of highest frequency is represented by the tallest bar. For the tallest bar, the number of sentences is $2$ (the value on horizontal axis).

So, The message of highest frequency has $2$ sentences.

It is noted that, single sentence and $4$ sentence messages have the same frequency

summary

Reading a bar graph: With the meaning attributed to horizontal axis and vertical axis, the position and height of each bar is read.

The objective is to answer any comparative or quantitative questions about the data using the given bar graph.

bargraph with two sets of data

Consider the data: Number of glasses of water students drink during the school time.

The data is collected for normal days and hot-sunny day. These two data sets differ.

Let us understand how two sets of related data be represented with a bar-graph.

The data is captured in the bar graph.

Orange color bars represent data for normal day.

Green bars represent data for sunny day.

The data in this bar graph can also be read for details and compared.

Comparing normal day and sunny day, The increase in number of students who had $4$ glasses of water is $7$.

summary

**Multiple Data in a Bar-Graph** : Multiple sets of data can be plotted in a single bar graph.

Such bar-graphs are also used to answer any comparative or quantitative questions.

Pie Chart

Consider the number of pens a student carries in a group of $20$ students. The raw data is given as :

$2$, $1$, $2$, $4$, $2$

$3$, $2$, $2$, $2$, $3$

$3$, $2$, $2$, $3$, $2$

$2$, $2$, $4$, $2$, $2$

The figure provides the tally and tabular representation of the given raw data.

The figure provides the bar graph.

One wants to know the percent of students bringing $2$ pens. Another wants to find if the data value of $3$ and $4$ are combined, will the result be higher than the data-value of $2$?
The bar graph does not help in answering such questions. One would end up using the actual data values.

Considering the number of pens a student carries. The figure provides a form of graph that helps to answer questions that compare a data-value to the whole or combining two or more neighboring data values to compare.

This is called pie-chart.

This represents the following as segments in circle

• frequency of $1$ is $1$, which is represented as a segment of orange color.

• frequency of $2$ is $13$, which is represented as a segment of blue color.

• frequency of $3$ is $4$, which is represented as a segment of purple color.

• frequency of $4$ is $2$, which is represented as a segment of yellow color.

The total is $1+13+4+2=20$.

The word "pie" means: a circular dish, usually cut in angular segments and served.

summary

**Pie Chart** : A representation of data as segments of a circle or a disc.

examples

*Consider the data:
• frequency of $1$ is $1$
• frequency of $2$ is $13$
• frequency of $3$ is $4$
• frequency of $4$ is $2$
The total is $1+13+4+2=20$* The circle represents the total $20$. In that case,the angle in the segment representing $1$ is

$=1\times 360/20$.

Drawing a pie-chart: The total is $1+13+4+2=20$ which represents whole circle with $360}^{\circ$ angle.

• Frequency of $1$ is $1$, and that would be represented by a segment with angle $1\times 360/20={18}^{\circ}$ angle.

• Frequency of $2$ is $13$, and that would be represented by a segment with angle $13\times 360/20={234}^{\circ}$ angle.

• Frequency of $3$ is $4$, and that would be represented by a segment with angle $4\times 360/20={72}^{\circ}$ angle.

• Frequency of $4$ is $2$, and that would be represented by a segment with angle $2\times 360/20={36}^{\circ}$ angle.

summary

**Reading a bar graph** : With the meaning attributed to horizontal axis and vertical axis, the position and height of each bar is read.
The objective is to answer any comparative or quantitative questions about the data using the given bar graph.

**Multiple Data in a Bar-Graph** : Multiple sets of data can be plotted in a single bar graph.Such bar-graphs are also used to answer any comparative or quantitative questions.

**Pie Chart** : A representation of data as segments of a circle or a disc.

Outline

The outline of material to learn "basics of statistics and probability" is as follows.

Note: * Click here for detailed outline of "Basics of Statistics and Probability"*

• Introduction

→ __Introduction to Statistics__

→ __Organizing Data : Tally Table__

→ __Pictograph__

→ __Bargraph__

• Data Analysis

→ __Cumulative Frequency__

→ __Representative Values of Data__

→ __Central Tendencies__

→ __Bargraphs & Piecharts__

• Probability Fundamentals

→ __Predicting Future__

→ __Random Experiment__

→ __Probability__

→ __Standard Experiments__

• Statistics Grouped Data

→ __Grouped Data__

→ __Probability in Grouped Data__

→ __Class Parameters of Grouped Data__

→ __Methods to find Mean of Grouped data__

→ __Mode of Grouped data__

→ __Median of Grouped Data__