text_plain_output_1.png
import pandas as pd

import seaborn as sns

test = pd.read_csv('../input/mobile-price-classification/test.csv')
train = pd.read_csv('../input/mobile-price-classification/train.csv')

numerical = ['battery_power', 'clock_speed', 'fc', 'int_memory', 'm_dep', 'mobile_wt', 'n_cores', 'pc', 'px_height', 'px_width', 'ram', 'sc_h', 'sc_w', 'talk_time']
categorical = ['blue', 'dual_sim', 'four_g', 'three_g', 'touch_screen', 'wifi']

df = pd.melt(train[categorical])
sns.countplot(data=df, x='variable', hue='value')