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## Exercise 2: Pandas plot 2
The goal of this exercise is to learn to create plots with use Pandas. Panda's `.plot()` is a wrapper for `matplotlib.pyplot.plot()`.
```python
df = pd.DataFrame({
'name':['christopher','marion','maria','mia','clement','randy','remi'],
'age':[70,30,22,19,45,33,20],
'gender':['M','F','F','F','M','M','M'],
'state':['california','dc','california','dc','california','new york','porto'],
'num_children':[4,2,1,0,3,1,0],
'num_pets':[5,1,0,2,2,2,3]
})
```
1. Reproduce this plot. This plot is called a scatter plot. Do you observe a relationship between the age and the number of children ?
![alt text][logo_ex2]
[logo_ex2]: ./w1day03_ex2_plot1.png "Scatter plot ex2"
The plot has to contain:
- the title
- name on x-axis
- name on y-axis