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import matplotlib.pyplot as plt

import numpy as np

import numpy as np # linear algebra

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

data = pd.read_csv('../input/2016-FCC-New-Coders-Survey-Data.csv', encoding='utf-8', low_memory=False)

bins = np.arange(data['Income'].dropna().min(), data['Income'].dropna().max(), 2000)

bins_age = np.arange(data['Age'].dropna().min(), data['Age'].dropna().max())

plt.hist(data['Age'].dropna(), bins=bins_age, alpha=0.5, color='#EDD834', label='Age')