It's time to draw the first plot!

A **countplot** is a plot that takes a categorical list and returns columns that represent the number of list entries for each category.

**To create a countplot:**

To initialize a countplot, we need to input at least 1 parameter: `x` - the
column in which values will be counted. 


We may also use `y` instead of `x` to change the orientation of
the plot.

As the ``Seaborn`` is based on the ``matplotlib``, we may use a special ``matplotlib.pyplot`` library and its function ``plt.show()`` to show the plot:

# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt

# Showing the plot
plt.show()

# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot
import matplotlib.pyplot as plt

# Data list
data_list = ['apple', 'fish', 'milk', 'milk', 'apple', 'apple', 'milk', 'fish', 'fish']

# Creating the countplot
sns.countplot(x = data_list)

# Showing the plot
plt.show()

In this section, we will come to know about the Seaborn library and will build our first plot!\n\nWe will also learn about friendship between the pandas and the Seaborn.

We continue learning plots with Seaborn.\n\nYou will learn some more new plots and even build 3-variable plot!

Plots seem so boring without customization...\nIn this section, we will learn how to make our plots perfectly styled!!