image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

df = pd.read_excel('/kaggle/input/students-employability-dataset/Student-Employability-Datasets.xlsx')
df.shape

new_df = df.drop(columns=['CLASS', 'Name of Student', 'Student Performance Rating'])
total = pd.DataFrame({'Skills': new_df.columns, 'Total Value': new_df.sum()})

fig = plt.figure(figsize=(15, 7.5))
fig.patch.set_facecolor('ghostwhite')
sns.set_theme(style='darkgrid', palette='deep')
ax = sns.barplot(y='Skills', x='Total Value', data=total.sort_values('Total Value', ascending=False))
plt.title('Summation of Values per Skill')
plt.show()