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Datasets:
shree0910
/
Online-vs-In-Store-Shopping-Behaviour-Dataset

Modalities:
Tabular
Text
Formats:
csv
Size:
10K - 100K
Libraries:
Datasets
pandas
Polars
License:
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age
int64
18
79
monthly_income
int64
15k
250k
daily_internet_hours
float64
1
12
smartphone_usage_years
int64
1
14
social_media_hours
float64
0
6
online_payment_trust_score
int64
1
10
tech_savvy_score
int64
1
10
monthly_online_orders
int64
0
49
monthly_store_visits
int64
0
19
avg_online_spend
int64
523
150k
avg_store_spend
int64
542
150k
discount_sensitivity
int64
1
10
return_frequency
int64
0
9
avg_delivery_days
int64
1
7
delivery_fee_sensitivity
int64
1
10
free_return_importance
int64
1
10
product_availability_online
int64
1
10
impulse_buying_score
int64
1
10
need_touch_feel_score
int64
1
10
brand_loyalty_score
int64
1
10
environmental_awareness
int64
1
10
time_pressure_level
int64
1
10
gender
stringclasses
3 values
city_tier
stringclasses
3 values
shopping_preference
stringclasses
3 values
56
221,111
6.5
12
0.7
1
6
16
16
28,551
144,092
2
3
2
6
7
7
1
3
6
5
2
Other
Tier 3
Store
69
96,029
8.2
13
2.7
6
9
14
1
124,056
28,421
4
7
4
1
3
4
9
6
8
1
7
Male
Tier 3
Hybrid
46
19,055
6.4
4
2.1
10
8
2
0
81,939
128,229
9
4
5
3
4
10
1
1
3
3
3
Female
Tier 3
Store
32
53,170
6.4
11
0.7
2
10
20
3
35,901
134,650
7
0
3
3
10
2
4
8
2
6
6
Female
Tier 1
Store
60
244,016
6
5
0.7
2
5
18
16
131,971
34,122
5
9
2
4
2
5
8
9
7
1
6
Male
Tier 3
Store
25
114,976
7.6
6
4
1
7
31
6
92,423
123,383
2
8
3
5
10
6
6
3
4
4
8
Other
Tier 2
Store
78
43,251
4.9
6
3.2
1
8
10
4
26,398
18,035
9
5
5
5
2
8
9
4
9
9
8
Other
Tier 2
Hybrid
38
150,604
3.1
10
3.7
4
9
17
7
131,561
33,308
2
1
2
10
10
8
8
9
6
1
4
Other
Tier 2
Store
56
150,996
7.3
2
1.1
5
3
28
0
123,438
97,145
7
6
4
5
2
9
8
2
6
6
4
Female
Tier 3
Store
75
63,037
6.8
4
2.9
4
8
2
9
74,311
79,808
10
0
2
2
9
6
9
1
5
1
7
Female
Tier 3
Store
36
224,154
8.6
12
5.4
6
3
49
3
56,198
140,722
9
0
7
10
10
9
9
10
8
10
5
Male
Tier 3
Store
40
107,115
1.1
9
2.2
8
1
3
13
40,543
46,725
4
8
6
9
6
3
8
2
7
2
5
Female
Tier 3
Store
28
217,693
5.8
7
2.6
2
4
27
8
83,429
122,126
9
2
7
9
3
7
10
1
7
6
5
Other
Tier 2
Store
28
92,926
6.2
9
2.5
1
7
8
16
81,177
19,617
8
7
6
4
10
6
9
3
1
5
8
Male
Tier 2
Store
41
224,888
3
6
2.4
2
9
37
13
49,294
103,713
7
4
3
3
1
2
10
7
5
5
1
Male
Tier 2
Store
70
235,726
5.8
11
1.5
10
10
6
18
73,565
139,218
8
1
6
6
1
1
9
10
8
4
10
Male
Tier 1
Store
53
85,400
8.4
7
2.6
6
7
0
1
30,148
58,440
4
1
7
1
1
7
5
10
5
3
1
Other
Tier 2
Store
57
114,525
10.2
9
4.6
4
10
34
13
98,395
98,336
7
4
1
4
2
7
10
5
8
7
6
Female
Tier 1
Store
41
116,164
8
14
2.4
7
5
46
8
23,909
42,179
3
1
5
2
10
9
1
3
5
6
8
Female
Tier 2
Store
20
238,457
5.4
12
4.1
2
1
33
4
68,110
67,109
5
2
6
9
6
7
1
10
4
9
9
Other
Tier 3
Store
39
239,174
8.5
4
6
1
1
8
14
10,025
127,299
2
9
1
7
10
2
7
2
8
3
1
Male
Tier 3
Store
70
156,774
7.8
9
1.4
5
9
25
5
38,287
3,848
8
8
5
9
9
4
7
10
6
9
2
Other
Tier 3
Online
19
121,732
5
3
3.2
9
4
7
15
46,394
22,500
2
5
7
7
1
5
10
4
1
6
2
Female
Tier 2
Store
41
30,385
4.8
14
1
6
3
18
10
119,035
18,547
7
8
1
2
10
8
2
4
6
4
3
Other
Tier 2
Store
61
24,336
5.7
12
2.3
6
5
25
8
44,546
41,489
8
6
2
2
10
6
4
2
2
3
8
Female
Tier 1
Store
47
80,421
3.9
14
5.7
1
7
45
11
10,716
25,969
6
0
2
8
4
6
4
10
8
2
3
Male
Tier 2
Store
55
177,297
5.4
11
3.3
1
7
9
7
132,880
135,540
4
1
4
9
5
6
1
10
3
4
8
Other
Tier 1
Store
19
51,021
7
12
2.9
4
5
42
16
66,778
89,620
4
8
2
6
10
6
7
3
1
8
6
Male
Tier 3
Store
77
149,854
8.1
14
1
2
8
29
11
31,420
31,294
6
2
6
3
6
4
1
8
9
6
4
Female
Tier 2
Store
38
234,949
5.2
8
1.7
3
5
39
0
65,173
45,371
8
7
2
9
10
9
5
2
7
9
6
Other
Tier 3
Store
50
132,369
8.8
3
1.4
6
10
35
7
10,737
31,314
9
6
6
7
1
9
4
4
6
8
9
Male
Tier 1
Online
29
235,702
7.3
3
1.2
10
4
30
0
13,603
52,812
6
5
1
1
3
6
7
4
10
2
3
Female
Tier 1
Store
75
64,111
7.4
3
3.6
1
6
7
12
48,524
1,669
3
9
5
9
10
9
1
8
9
2
2
Female
Tier 1
Online
39
104,402
4.2
9
3.4
10
3
41
4
112,987
126,335
10
7
7
2
2
2
10
5
7
10
5
Female
Tier 2
Store
78
134,774
9.6
10
2.3
2
4
46
19
82,204
119,167
4
7
2
5
4
9
10
10
3
8
6
Male
Tier 2
Store
61
230,657
7.1
14
1.8
4
8
12
4
35,393
74,710
5
9
2
7
5
10
5
10
5
7
7
Other
Tier 2
Store
42
57,719
5.3
3
3.4
6
10
36
7
30,975
72,627
3
7
3
10
8
8
2
1
3
6
7
Female
Tier 1
Store
66
242,600
5
6
4.7
3
10
29
10
108,742
123,073
5
0
1
3
9
9
6
2
6
10
3
Female
Tier 3
Store
44
195,109
5.4
11
3.8
9
3
14
19
129,743
128,262
8
6
2
9
7
3
7
10
3
10
4
Female
Tier 2
Store
76
226,175
4
14
2.6
10
10
34
7
7,720
121,589
4
7
7
3
6
10
5
9
7
5
6
Female
Tier 2
Store
59
140,695
8
4
3.7
4
3
2
9
134,176
148,247
7
1
6
2
9
3
8
9
5
2
2
Other
Tier 1
Store
45
149,585
4.2
14
3.8
7
6
28
4
28,170
36,288
1
3
6
10
8
10
10
7
7
4
8
Male
Tier 1
Store
77
159,407
6.6
2
2.7
5
8
23
19
73,135
125,311
7
5
6
3
7
8
10
7
5
1
10
Other
Tier 3
Store
33
190,212
5.1
12
2.7
6
10
44
2
9,795
144,291
1
3
2
10
7
5
9
9
3
1
6
Male
Tier 1
Store
32
119,126
7.3
12
1.8
9
2
22
4
68,655
62,518
2
1
4
6
9
7
6
7
5
5
9
Female
Tier 2
Store
79
226,445
7.6
3
3.6
9
1
8
14
114,331
37,757
1
1
3
1
1
5
1
2
1
8
5
Other
Tier 1
Store
79
92,658
4.7
5
2.3
6
10
1
13
13,016
22,135
3
1
5
4
7
8
7
7
1
6
5
Other
Tier 3
Store
64
180,912
5.9
10
1.2
2
1
14
4
31,116
55,921
8
1
1
4
6
10
1
4
2
3
8
Other
Tier 3
Store
79
46,007
3.1
4
1.3
9
7
31
1
126,467
56,756
8
6
5
5
2
10
2
7
1
1
7
Female
Tier 1
Store
68
203,019
9.4
5
2.4
2
2
17
6
126,412
15,024
7
8
2
10
7
10
3
6
7
3
7
Female
Tier 2
Hybrid
61
121,833
8.1
13
1.3
2
9
28
6
139,574
106,040
7
9
7
2
2
8
7
9
2
8
6
Male
Tier 2
Store
72
133,637
3.2
12
6
2
10
39
13
74,782
66,488
5
8
4
1
2
1
1
4
4
1
7
Other
Tier 1
Store
69
135,721
4.3
11
3.1
7
4
2
14
108,383
117,518
10
5
3
9
9
6
6
4
5
8
7
Female
Tier 1
Store
74
108,220
5.7
1
1.9
4
7
32
16
45,068
102,512
9
9
1
2
3
4
4
6
3
2
7
Other
Tier 1
Store
20
41,393
6.1
4
2.7
8
5
6
8
5,913
42,042
1
2
3
8
9
1
4
10
5
5
3
Other
Tier 1
Store
54
72,480
4.6
11
3.5
8
5
29
3
52,392
93,220
4
6
3
3
6
8
3
10
10
7
1
Other
Tier 1
Store
68
132,243
3.7
10
2.8
1
7
26
15
133,331
123,696
6
7
3
8
4
5
7
9
2
7
1
Male
Tier 2
Store
24
103,290
6.8
3
1.3
1
9
37
13
33,872
73,035
4
8
5
2
7
1
5
5
7
1
6
Other
Tier 2
Store
38
232,407
9.5
13
2.4
4
4
28
0
52,668
123,722
2
3
3
3
7
2
8
6
9
5
8
Male
Tier 3
Store
26
119,263
6.1
2
2.2
2
9
30
1
23,421
955
2
4
6
4
4
7
8
2
5
5
8
Other
Tier 3
Online
56
155,179
5.4
7
1.9
3
9
0
12
52,138
79,761
2
0
2
10
3
10
1
7
9
3
4
Female
Tier 2
Store
35
20,993
5.2
10
1.4
10
8
40
7
24,961
12,163
7
4
7
10
4
9
5
4
7
2
2
Male
Tier 1
Online
21
242,413
3.8
9
3.6
2
1
42
8
112,610
37,711
5
9
6
9
6
6
4
3
4
4
10
Female
Tier 1
Store
42
108,650
4.7
1
3.1
10
10
26
9
103,258
140,980
2
6
2
3
7
10
6
1
5
3
9
Other
Tier 2
Store
77
249,397
8.3
12
3.1
9
9
26
19
10,552
143,281
9
1
6
4
4
4
7
1
7
10
1
Female
Tier 3
Store
31
132,595
1.9
7
0.1
6
3
28
9
70,970
20,249
2
4
2
4
8
3
5
6
6
2
10
Male
Tier 1
Store
67
67,066
6.1
11
2
7
8
4
15
131,931
84,210
7
8
6
10
4
1
5
2
6
1
9
Female
Tier 2
Store
75
126,850
6.1
12
4.1
6
5
2
8
63,618
6,736
1
2
7
3
10
4
9
9
8
4
4
Male
Tier 1
Store
26
57,942
6.2
1
3
1
6
28
5
42,865
74,798
6
1
4
9
6
3
8
9
4
4
4
Male
Tier 3
Store
43
31,138
7.5
5
1
5
3
40
11
20,700
93,830
6
4
4
10
5
3
8
3
8
3
5
Other
Tier 2
Store
70
133,558
6.1
1
4.7
3
7
38
16
112,780
45,820
5
8
3
4
1
2
5
9
5
3
10
Other
Tier 1
Store
19
190,599
5.1
3
0
10
2
12
9
45,262
75,090
7
9
6
8
7
10
1
8
3
9
6
Male
Tier 3
Store
37
24,190
4.7
8
2.7
8
3
32
10
95,314
64,682
10
3
1
5
3
2
10
10
7
1
6
Female
Tier 3
Store
45
107,259
8.6
13
4.7
7
2
19
8
121,443
2,632
8
0
4
6
9
3
8
8
3
10
7
Female
Tier 3
Online
64
93,422
8.1
4
0.5
9
9
2
17
12,681
73,056
2
5
5
3
10
7
2
7
1
10
10
Other
Tier 3
Store
77
201,770
11.8
12
1.9
1
3
5
2
14,174
80,428
3
8
7
9
6
3
3
5
7
8
2
Male
Tier 3
Store
24
97,315
5.4
1
0.7
2
8
42
4
81,080
1,415
8
3
2
4
5
1
3
4
4
7
1
Male
Tier 2
Online
61
239,782
4.7
1
4.3
2
6
16
4
40,995
33,647
5
8
3
6
6
5
3
5
3
9
7
Male
Tier 3
Store
78
44,086
6.9
8
1.4
1
1
46
4
85,145
53,410
6
6
5
6
7
8
5
9
4
10
5
Other
Tier 2
Store
25
163,394
6.9
14
3.8
8
6
3
10
115,514
107,200
4
0
5
8
5
8
8
4
4
4
6
Male
Tier 1
Store
64
140,604
7.3
8
4.3
4
8
32
3
25,654
113,813
1
5
1
10
5
5
1
9
6
2
5
Other
Tier 3
Store
52
115,814
7.7
4
0.8
7
10
32
4
46,668
53,060
8
1
6
8
4
8
8
9
6
10
8
Female
Tier 2
Store
31
134,324
7.3
4
0.6
10
3
5
18
53,741
92,824
4
7
6
6
4
4
6
10
3
2
3
Female
Tier 2
Store
34
229,641
8.2
10
3.1
1
7
40
10
127,570
40,905
9
6
7
1
3
3
10
6
6
8
1
Male
Tier 2
Store
53
231,682
8.4
11
3.5
8
6
13
11
6,497
6,128
2
6
2
8
8
2
1
5
1
5
1
Male
Tier 3
Online
67
143,921
8.5
2
2.4
8
1
45
16
98,084
69,949
8
3
7
7
6
6
8
2
3
5
2
Female
Tier 3
Store
57
18,435
1.5
2
2.5
10
2
6
14
42,909
146,654
9
0
2
5
7
8
6
4
10
2
2
Female
Tier 2
Store
21
116,505
6.5
12
4.4
3
5
5
1
127,783
33,220
6
6
4
8
3
8
1
3
7
7
4
Female
Tier 3
Store
19
68,331
4.2
6
2.2
9
7
2
0
46,694
136,414
8
4
4
6
9
6
1
10
4
10
7
Female
Tier 3
Store
79
175,014
8.1
8
4.3
5
4
36
5
39,103
143,083
4
4
5
1
10
7
4
9
6
9
3
Male
Tier 1
Store
23
205,707
1.4
7
1.8
5
6
21
0
99,870
77,294
10
8
5
4
7
2
10
4
7
3
2
Other
Tier 3
Store
71
175,131
8.9
7
5.6
5
2
37
14
75,058
101,241
1
2
5
4
6
5
3
6
8
7
7
Other
Tier 1
Store
59
203,629
4.3
3
1.3
1
5
7
1
116,877
85,088
2
4
2
1
4
4
3
6
10
1
3
Male
Tier 2
Store
21
128,457
3.8
12
4
10
10
23
7
60,914
86,637
1
9
5
10
1
2
7
2
10
6
4
Male
Tier 2
Store
71
67,389
6.7
2
1.2
2
3
12
15
108,663
12,756
9
1
6
1
9
8
10
9
6
10
2
Other
Tier 3
Store
46
68,014
5.3
10
3.5
1
1
12
15
100,090
14,593
5
4
7
6
4
7
3
4
6
8
5
Female
Tier 1
Store
35
178,898
9.6
7
2.5
2
6
0
15
134,009
122,334
6
4
2
1
9
5
1
3
5
7
10
Male
Tier 1
Store
43
45,297
8.7
4
2.9
9
9
40
19
133,533
51,599
8
1
4
8
4
10
2
2
5
8
10
Other
Tier 2
Store
61
58,890
5
1
3.4
9
10
35
18
54,175
15,079
9
8
1
2
8
5
7
10
3
2
10
Male
Tier 1
Hybrid
51
36,322
8.1
1
2.8
5
8
31
1
89,984
1,755
3
2
4
3
10
7
5
8
4
3
7
Male
Tier 1
Online
End of preview. Expand in Data Studio

About Dataset

The rapid growth of e-commerce has transformed how consumers shop. While some customers fully embrace online shopping, others still prefer visiting physical stores, and many adopt a hybrid approach.

This dataset simulates real-world consumer behaviour by combining demographic information, digital habits, shopping patterns, logistics preferences, and psychological factors.

The goal is to help data scientists and analysts:

Explore shopping behaviour trends

Perform exploratory data analysis (EDA)

Build classification models

Understand factors influencing shopping channel preference

The dataset contains 11,789 records and 26 features, designed to provide realistic patterns and balanced class distribution for machine learning projects.
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Size of downloaded dataset files:
992 kB
Size of the auto-converted Parquet files:
446 kB
Number of rows:
11,789