A fundamental part of data science is data visualization :
Data visualization is the technique of communicating with data and exploring it .
Though there are plenty of libraries in python but for today post we will concentrate on matplotlib for data visualization .
In particular, we will be using the matplotlib.pyplot module. In its simplest use, pyplot maintains an internal state in which you build up a visualization step by step. Once you’re done, you can save it (with savefig()) or display it (with show()).
Lets gear up and make use of notebook :
Bar Chart :
A bar chart is a good choice when you want to show how some quantity varies among some discrete set of items.
Example : Showing class distribution with a sample data :
Suppose you have 30 males and 22 females in class lets see how it looks in bar chart :
Line Chart :
Line chart is usefull when showing trends with in a data distribution ,
Lot of example can be sighted will start with a simple one :
Pie Chart : Pie chart are useful in data analysis in show distribution of the various labels and its percentage .
Scatterplot of the data shows how likely or how similar the dataset is . Suppose the data is densely scatter at particular region ,its likely the data points have similarity :
Saving the plot in memory :
We will use visualization in more often in exploring data .
Till then happy Learning and Sharing !!