What is the ``pandas``?
   - Python library for data analysis;
   - Easily reads DataSets from csv, txt, and other types of files;
   - DataSets take the form of DataFrame objects.


When you read a dataset with the help of the ``pandas`` you create a **DataFrame:**

```python
# Importing the pandas 
import pandas as pd 

# Reading the file
df = pd.read_csv('file.csv') 
```

To initialize a countplot based on the ``pandas`` DataFrame, we need to input at least 2 parameters: `x` (the column whose values will be counted) and `data` (the DataFrame containing the data).

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

# Reading the file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example3.csv')

# Creating the countplot
sns.countplot(x = 'food', data = df)

# Showing the plot
plt.show()

Together we will make the first dive into visualization based on a seaborn library. We will learn how to build simple plots and how to customize them. You will cope faster with tasks if you know something about pandas. Do not hesitate, and let's go!

In this section, we will learn about the seaborn library and build our first plot! We will also learn about the 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!!

First Dive into seaborn Visualization

Seaborn + Pandas

Tarefa

First Dive into seaborn Visualization

Seaborn + Pandas

Tarefa