Page 193 - Touhpad Ai

21 st
Deep Thinking Century #Interdisciplinary
Skills
Data visualization plays a crucial role in how AI interprets and communicates complex data. How do you think
effective data visualization can enhance AI decision-making, especially when it comes to presenting insights to
humans? Can AI become better at creating visualizations that not only simplify data but also reveal patterns that
humans might miss?

21 st
Century #Coding & Computational Thinking
Skills
1. Perform cleaning techniques to the following dataset using MS Excel
ID Student Name City Course Name Enrolled Completion % Rating

1 rAhul delhi Python Basics Yes 100% Excellent
2 Siya MUMBAI data science yes 95 Good
3 Arjun Bengaluru Web Dev 80% Excelent

4 Meena Pune python basics Yes 85% Good
5 ananya delhi Data Science YES Average
6 Kabir pune Web Development Yes 90 good
7 Karan BANGALORE AI Basics YES 98% Poor
8 Simran chennai Ai basics na Good
9 Arjun Bengaluru Web Dev 80% Excelent

10 Tanya Jaipur Python Basics Yes 100% Excellent
11 Diya Mumbai Data science YES 92% average
12 Nikhil Delhi Machine Learning yes 75 Good
13 Manya kolkata ML YES 65% poor
14 Aarav machine learning 70 Good

15 Naina Chennai Data Science YES 82% good
16 Kabir pune Web Development Yes 90 good
17 Sanya Kolkata python basics yes 98% Excellent
18 Ishaan Hyderabad Web dev YES 83% Average
19 Isha delhi Ai basics YES 89% Excelent

20 Aarav hyderabad Machine Learning YES 77% Good
2. Enter data showing how many hours 25 students spend on screens daily (e.g., mobile, TV, computer). Use sns.
histplot() in Python to create a histogram. Customize the chart with colour, number of bins, labels, and title.
3. Use a dataset showing average marks in five subjects. Create a bar chart using:
u matplotlib.pyplot.bar()
u sns.barplot()
Observe the difference in code simplicity and chart design.

Data Visualization 191