Free 750 words essay on how do we use graphs in everyday life for school and college students.
What are graphs
Sites like www.twitter.com, www.facebook.com, etc use graphical databases to provide real-time recommendations to its users. They collect customer information from their profiles and based on that give the recommendations. The question may arise as to what is a graphical database. Before that, one may ask, what is a graph? A graph is a mathematical diagram that represents a relationship between variables. Typically, this relation is between two variables, each measured along one of a pair of axes, which are at right angles to each other. The site www.dictionary.com defines a graph as a diagrammatical representation, which represents a system through which two or more variables are connected, a series of points, which are discrete or continuous, each, of which represents the value of a given function. Such a representation is also called as a linear graph, which is a network of lines connecting two or more points.
Read Also: HOW DO WE USE MATHS IN EVERYDAY LIFE
Types of graphs
Therefore, if you want to know the progress of your studies as you have grown up, you can plot your age on one axis and your annual percentage on the other axis. Here, you will be able to study the intellectual progress you have made as you grew up. Line graphs can compare changes over the same period for more than one group of people. Pie charts are useful when we are comparing parts of a whole and bar graphs are useful when comparing things between two or more groups or tracking changes over time.
Uses of graphs in our daily lives
Graphs are used in the following areas:
Each year, banks and insurance companies lose humungous amounts of money to fraud. Fraud in the USA costs the insurance industry an estimated US$80 bn. This figure is on the rise. Traditional analysis techniques are able to detect only a handful of fraud cases because criminals have learnt to elude these methods by collaboration. Graphs and databases are useful in performing link analysis, which helps uncover behavioral patterns of criminals, thus evading their attempts at fraud.
Today’s online dating sites owe their success to graphical analysis of complex relationships by sophisticated search engines that work on data inputted by users. These analyses use data about shared friends and locations to personal passions and hobbies. These sites identify potential matches based on graphical relationships they work out between two individuals.
Real time recommendations
E-commerce giant Amazon is using graphical relationships to give real-time recommendations to its customers with it’s ‘you may also like…..’ feature. Following this, a number of other enterprises have also started giving such suggestions to their online customers. The recommendation engines are powered by graphical databases, which allow companies to offer personalized product, service and content suggestions based on their past behavior on the site. Wal-Mart is one example of such an enterprise that uses a graphical database to power its retail recommendation engine. The retail giant uses historical data about customers to suggest products to them, using graphical databases.
Graph based search
Traditional relational databases and keyword searches cannot keep pace with the amount of data available to companies today. Giants like Google and Facebook use graph based search tools to provide suggestions to customers by handling humongous amounts of data for millions of their customers. However, startups are also catching up with these giants. CrunchBase and Decibel are companies that deal with large amounts of data, which is accumulated on their sites and guide customers for future purchases.
Modern healthcare has used the power of graphical databases to the treatment and cure of deadly diseases. Zephyr Health, Curaspan Health Group, HealthUnlocked, GoodStart Genetics and Doximity are companies that have used graphical databases to deliver up to date data about patients to researchers, caregivers, pharmaceutical companies, hospitals and finally, patients.
Graphs are all pervasive
Thus, whether you are identifying a potential match or mapping the suspicious behavior or a criminal, based on his past behavior, or you are making suggestions to your customers to befriend people, based on their profession, hobbies or favorite pastimes, graphs are everywhere and there is no respite from them. They are useful in all the fields in our daily lives, as we have seen above. It is only now that I have come to know the reason why we study graphs and their interpretations, in school life and why data interpretation is such an important question in management entrance exams. Graphs are all pervasive and are very useful in everyday life.