Page 224 - Touhpad Ai

Willing_to_Pay_for_Access State Device_Used Internet_Access
0 Yes Uttar pradesh Mobile Poor
1 No Chhattisgarh Laptop Poor
2 No Uttarakhand Tablet Poor
3 No Delhi ncr Laptop High
4 Yes Uttarakhand Laptop Medium
4. Check Basic Information
print(df.info())
Output:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3614 entries, 0 to 3613
Data columns (total 16 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Student_Name 3614 non-null object
1 College_Name 3614 non-null object
2 Stream 3614 non-null object
3 Year_of_Study 3614 non-null int64
4 AI_Tools_Used 3614 non-null object
5 Daily_Usage_Hours 3614 non-null float64
6 Use_Cases 3614 non-null object
7 Trust_in_AI_Tools 3614 non-null int64
8 Impact_on_Grades 3614 non-null int64
9 Do_Professors_Allow_Use 3614 non-null object
10 Preferred_AI_Tool 3614 non-null object
11 Awareness_Level 3614 non-null int64
12 Willing_to_Pay_for_Access 3614 non-null object
13 State 2000 non-null object
14 Device_Used 3614 non-null object
15 Internet_Access 3614 non-null object
dtypes: float64(1), int64(4), object(11)
memory usage: 451.9+ KB
None
5. Get Summary Statistics

print(df.describe())
Output:

Year_of_Study Daily_Usage_Hours Trust_in_AI_Tools Impact_on_Grades \
count 3614.000000 3614.000000 3614.000000 3614.000000
mean 2.472883 2.559685 3.023243 0.003320
std 1.107912 1.213319 1.436934 2.370706
min 1.000000 0.500000 1.000000 -5.000000
25% 2.000000 1.500000 2.000000 -2.000000
50% 2.000000 2.600000 3.000000 0.000000
75% 3.000000 3.600000 4.000000 2.000000
max 4.000000 5.000000 5.000000 5.000000

222 Touchpad Artificial Intelligence - XI