### Quick Introduction to Matplotlib

Overview:In Datascience and Machine learning, plots and graphs play a very important role. To understand the data and its characteristics, it is very important to plot the data and make sense out of it. Matplotlib is a powerful Python library which is very handy in building effective plots. We will take a look at a brief intro to Matplotlib.

Scatter Plot:Scatter Plot plots two variables one each along X and Y axis and provides a view of the relationship or correlation between the two variables. Let us create two variables, where one variable has an exponential relationship with the other (i.e logarithmic relationship).

Let us hypothetically assume that age and salary are related exponentially. So as age increases, salary increases exponentially. Let us create two dataframes with this in mind and plot them. Note how we added labels for X and Y axis and also a title for the plot.

Line Plot:We can also plot two variables and draw a line to reflect the relationship between them. Matplotlib w…

Scatter Plot:Scatter Plot plots two variables one each along X and Y axis and provides a view of the relationship or correlation between the two variables. Let us create two variables, where one variable has an exponential relationship with the other (i.e logarithmic relationship).

Let us hypothetically assume that age and salary are related exponentially. So as age increases, salary increases exponentially. Let us create two dataframes with this in mind and plot them. Note how we added labels for X and Y axis and also a title for the plot.

Line Plot:We can also plot two variables and draw a line to reflect the relationship between them. Matplotlib w…