text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

ge = pd.read_csv('../input/gender-classification-dataset/gender_classification_v7.csv')
ge

x = 0
for i in ge.columns:
    x = x + 1

ge.describe().round(2).T

ge.isnull().sum()

ge1 = ge.copy()

cat_ge = list(ge.select_dtypes(exclude='float64').columns)

num_ge = list(ge.select_dtypes(include='float64').columns)

i = ['gender']

num_ge = num_ge + i

for i in cat_ge:
    plt.figure()
    sns.countplot(x=i, data=ge1[cat_ge], hue='gender')
    plt.title(i)