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ChatGPT - Avian: Marketing Ads & Data Analytics
Analyze & visualize data from 20+ platforms, including Google Analytics, Google Ads & Facebook Ads.
Unverified solution from Anonymous :
import matplotlib.pyplot as plt
# Names of files and their sizes in MB
file_names = [
"The Hacker Playbook 3 - Practical Guide To Penetration Testing",
"knowledge2.txt",
"hackingciphers.pdf",
"Web Hacking 101 - How to Make Money Hacking Ethically",
"knowledge2.txt",
"Black Hat Python - Python Programming for Hackers and Pentesters",
"The web application hacker's handbook",
"hacker-education-resources.pdf",
"knowledge.txt",
"Ethical Hacking With Kali Linux Learn Fast How To Hack",
"kalirevealed.pdf",
"Beginning Ethical Hacking with Python (1)",
"Beginning Ethical Hacking with Python (2)",
"Learning the bash Shell - Unix Shell Programming",
"Real-World Bug Hunting - A Field Guide to Web Hacking",
"hacking-the-art-of-exploitation.pdf",
"BashNotesForProfessionals.pdf"
]
file_sizes = [
14.7, # MB
3.2, # MB
5.6, # MB
6.1, # MB
3.2, # MB
7.0, # MB
36.2, # MB
2.3, # MB
4.4, # MB
8.9, # MB
5.7, # MB
5.9, # MB
5.9, # MB
2.1, # MB
39.4, # MB
1.8, # MB
0.6 # MB
]
plt.figure(figsize=(10,8))
plt.barh(file_names, file_sizes, color='skyblue')
plt.xlabel('File Size (MB)')
plt.title('File Sizes in /mnt/data/')
plt.tight_layout()
plt.show()