text_plain_output_2.png text_plain_output_1.png image_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

train_data = pd.read_csv('../input/train_V2.csv')
test_data = pd.read_csv('../input/test_V2.csv')

train_data.head(10)[['damageDealt', 'winPlacePerc']]

import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style='darkgrid')
data_to_plot = train_data.sample(n=200)[['damageDealt', 'winPlacePerc']]
sns.relplot(x='damageDealt', y='winPlacePerc', data=data_to_plot)