A graph is a visual representation of data that has been categorized. It facilitates our understanding of the facts. The term “data” refers to a collection of numerical figures gathered through surveys. The word “data” is derived from the Latin word “Datum,” which means “given”.
After the development of a research question, data is collected on a continuous basis through observation. The information gathered is then organized, summarized, categorized, and graphically displayed or portrayed.
The use of simple charts to visualize and simplify data sets is referred to as graphical representation. The information gathered during the survey is entered into a graphical representation of data programmed.
The data is then represented by symbols such as lines on a line graph, bars on a bar chart, or pie chart slices. Users can gain a lot more clarity and comprehension by this manner than they could get by just studying numbers.
Suitable title: The graph’s title should be appropriate and convey the presentation’s topic.
Measurement unit: The graph’s measurement unit should be specified.
Proper scale: Select the appropriate scale to accurately depict the data.
Index: Index the relevant colors, shades, lines, and designs in the graphs for better understanding.
Data sources: At the bottom of the graph, data should be inserted wherever it is needed.
Keep it simple: A graph should be constructed in such a way that it is easily comprehended.
Neat: The right size, fonts, colors, and other elements should be used to make the graph a visual assistance for presenting the data.
There are various ways by which Graphical representation can be done. They are listed as:
A bar graph is a collection of data depicted by rectangular bars with lengths proportional to the values.
The bars can be plotted either vertically or horizontally.
The pie chart is a graph in which a circle is divided into sectors, each representing a percentage of the total value. In pie charts, there are two main formulas:
The formula to calculate the percentage of the provided data is:
100 × (Frequency Total Frequency)
The formula to convert the data into degrees:
360° × (Given Data Total Value of Data)
The data is represented in a line graph as a series of dots connected by a straight line. These are referred to as markers.
A pictograph is a type of graph in which data is presented in the form of images. Different numbers can be used to represent pictorial symbols for words, objects, or sentences.
The histogram is a graph with rectangles in which the size is related to the frequency of a variable and the width is equal to the class interval.
In statistics, the frequency distribution table shows the data in ascending order with their corresponding frequencies.
The frequency of data is frequently symbolized by the letter f.
A scatter diagram, often known as a scatter plot, is a graphical representation of two variables using Cartesian coordinates. The graph depicts the relationship between two variables.
There are several features of Graphical Representation. They are state as:
There are several disadvantages of graphical representation of data which is listed below:
As Graphical representation requires images, colors, and paints, it is expensive. The graphical presentation is costly due to the combination of material and human resources.
The representation of a normal report takes less time, but graphical representation takes more time since it requires graphs and figures, which take more time.
Since it includes a variety of technical problems that are difficult for most people to understand, not everyone will be able to grasp the meaning of graphical representation.
Here in this article we studied Graphical representation and its uses. The basic goal of displaying scientific data in graphs is to efficiently convey information while avoiding confusion or deception. This is critical for conveying our findings to others, as well as for interpreting and analyzing the data.
Understanding and recognizing trends and patterns in the ever-increasing data flow requires graphical data visualization. The use of graphical representations can aid in the speedy examination of huge amounts of data, as well as the making of predictions and well-informed judgments.