The following Topics and Sub-Topics are covered in this chapter and are available on MSVgo:
The following Topics and Sub-Topics are covered in this chapter and are available on MSVgo:
Introduction
Visual forms appeal more to the audience than the texts form information. It’s quite common that we remember any form of visual representation more than the texts. You might have come across this simple observation that you remember pictures better than written words. And that’s the objective of visual data. It’s for making things easy and understandable for the viewers.
Introduction to graphs is an important chapter that familiarises us with different ways to represent any data in pictorial/ visual form. The most common examples are bar graphs and a pie chart that you observe in many places. There are other forms of graphical representations too, including line graphs, histograms, and more. All of these visual representations are meant to simplify the understanding of the data set to our brains. This article will talk more about the introduction of graphs, their varieties, and applications of graphs.
Let’s start with the most used form of graphs that we see around, the bar graph.
Bar graphs are the simplest form of graphs that are used to compare two or more data sets. For example, you can compare the marks obtained by two students in any given subject. The two vertical bars are used in the bar graph that varies according to the variables.
Pie charts are to represent something as a part of the whole. It is suitable to represent the percentage of data. The full circle corresponds to 100%, broken down into pieces according to this formula.
A circle is 360 degrees. Hence each degree represents a specific set of percentages.
For representing x%, you need to cover (360/100)*x degree. The data that can be represented with a pie-chart is expenditures, savings, and income from different sources.
Histograms look like bar graphs and are used to group data sets and show a comparison analysis. It is used to group the data into intervals and use them as a visual representation. For example, if you are given the weight of 10 people ranging from 40 kg to 80 kg, you can group this data into intervals like 40-50, 50-60, 60-70, and 70-80. Histograms are simple to make and are similar to bar graphs.
Linear graphs are used to show the relation between two elements. One is an independent element, and the other is a dependable variable. The linear function graphs have a formula, which is shown below.
y = mx + c
Where,
o y- a dependant element
o m- the slope of the graph
o x- Independent variable
o c- constant
Graphs have numerous applications in the science and mathematics world. They are used to represent the data in a human-friendly way. It helps us understand and compare the data with any given element. There are two major elements of any graph. They are independent and dependent variables. The independent variable’ is a variable whose value doesn’t change concerning any changes in the space. Dependent variables change with a change in any element in the graph space.
Graphs help us understand the relationship between two or more variables. Graphs like line graphs and linear graphs are made on the Cartesian plane with a reference point (0,0).
Graphs are simple to make and effective at conveying information. To make a graph, you first need to have a proper data set and check what type of graph can be made for the given data.
Graphs are a pictorial representation of data using any simple geometric figures. They represent and compare the different data set forms like marks, income, expenditure, and more.
Different graphs have to be read in different ways. For a pie chart, you need to consider the full circle as a whole, and the rest data is divided into it. For bar graphs, you can check the x and y-axis for information.
The different graphs in statistics are pie-chart, histograms, bar graphs, linear graphs, line graphs, and more. They are used to represent different types of data.
Suppose a bar graph is given. Then it comes with the x-axis and y-axis variable names. It can be read easily corresponding to the variable name. For other graphs, you need to look at the variable name and type of graph.
Graphs can be made when you have sufficient data with you. You need to have knowledge of geometric shapes and simple mathematics to make a graph using a pencil, scale, and eraser.
The line graph and linear graphs are sometimes the same, and students get confused about them. At MSVgo, we provide you with easy video lessons to understand the basic difference between them and understand them easily.
Graphs are an important part of statistics as they make things easier to understand. Their main purpose is to show the relationship or comparison between different variables in a pictorial form and be easy to study. They have many applications in different industries and fields and are extensively used by people.
