Dataset Viewer
Auto-converted to Parquet Duplicate
ProdTaken
int64
Age
float64
TypeofContact
string
CityTier
int64
DurationOfPitch
float64
Occupation
string
Gender
string
NumberOfPersonVisiting
int64
NumberOfFollowups
float64
ProductPitched
string
PreferredPropertyStar
float64
MaritalStatus
string
NumberOfTrips
float64
Passport
int64
PitchSatisfactionScore
int64
OwnCar
int64
NumberOfChildrenVisiting
float64
Designation
string
MonthlyIncome
float64
__index_level_0__
int64
0
35
Self Enquiry
1
7
Salaried
Male
3
5
Basic
3
Divorced
3
1
2
0
1
Executive
22,300
381
0
39
Self Enquiry
1
24
Salaried
Female
4
5
Standard
3
Divorced
2
0
2
0
3
Senior Manager
27,501
2,903
0
55
Self Enquiry
3
32
Small Business
Male
2
4
King
3
Married
2
0
3
1
1
VP
34,586
1,149
0
33
Self Enquiry
1
9
Small Business
Female
4
4
Basic
4
Married
3
0
4
0
2
Executive
21,048
1,747
1
36
Self Enquiry
3
22
Small Business
Male
3
6
Deluxe
3
Married
8
1
1
1
2
Manager
24,118
2,130
0
31
Self Enquiry
1
7
Salaried
Male
3
6
Basic
3
Married
5
0
4
1
1
Executive
22,511
2,651
0
36
Self Enquiry
1
32
Salaried
Male
3
5
Deluxe
3
Unmarried
6
0
2
0
2
Manager
22,359
2,578
0
36
Self Enquiry
1
6
Salaried
Female
2
3
Deluxe
4
Divorced
1
0
5
0
0
Manager
20,228
2,177
0
51
Self Enquiry
1
24
Salaried
Female
3
5
Standard
5
Married
7
0
3
1
1
Senior Manager
31,947
2,644
0
32
Company Invited
1
17
Small Business
Female
3
4
Standard
3
Married
6
0
1
1
2
Senior Manager
29,709
59
0
34
Self Enquiry
3
6
Small Business
Male
2
3
Standard
3
Unmarried
2
0
5
1
0
Senior Manager
24,888
3,079
0
52
Self Enquiry
1
16
Salaried
Male
4
4
Basic
3
Married
5
0
3
1
1
Executive
20,753
998
0
28
Company Invited
3
15
Small Business
Male
3
4
Deluxe
3
Married
2
0
3
1
2
Manager
23,020
1,116
0
30
Self Enquiry
1
30
Salaried
Male
3
4
Basic
3
Single
2
0
3
0
1
Executive
20,879
1,509
0
53
Self Enquiry
1
10
Small Business
Male
3
5
Standard
3
Married
4
1
1
1
1
Senior Manager
26,647
2,437
0
57
Self Enquiry
3
35
Small Business
Male
2
4
Super Deluxe
3
Married
4
0
3
1
0
AVP
29,118
2,364
0
32
Company Invited
1
12
Small Business
Male
4
4
Deluxe
5
Single
2
0
1
0
3
Manager
28,614
2,913
1
18
Self Enquiry
1
9
Salaried
Male
2
3
Basic
3
Single
2
0
4
0
0
Executive
16,420
3,055
1
28
Company Invited
1
31
Salaried
Male
4
5
Basic
3
Single
3
1
3
1
2
Executive
21,212
542
0
39
Self Enquiry
3
10
Salaried
Male
3
4
Deluxe
3
Unmarried
2
1
3
1
1
Manager
25,539
805
1
38
Self Enquiry
1
18
Small Business
Female
4
6
Deluxe
4
Married
7
0
4
1
1
Manager
23,455
1,362
0
37
Self Enquiry
1
13
Salaried
Female
3
3
Deluxe
3
Divorced
5
0
2
0
1
Manager
21,716
2,140
0
32
Self Enquiry
1
27
Salaried
Male
3
4
Deluxe
3
Married
3
0
5
0
1
Manager
22,875
1,886
0
27
Self Enquiry
1
9
Small Business
Male
2
4
Basic
3
Single
1
0
2
0
0
Executive
17,045
2,421
0
38
Self Enquiry
1
7
Small Business
Female
3
5
Basic
5
Divorced
4
0
4
1
2
Executive
22,598
2,499
0
32
Self Enquiry
1
9
Salaried
Male
3
4
Basic
3
Married
2
1
4
1
2
Executive
21,373
978
0
29
Company Invited
3
11
Small Business
Male
3
4
Deluxe
3
Married
3
0
1
0
1
Manager
22,899
3,014
0
30
Self Enquiry
3
18
Large Business
Female
2
3
Deluxe
3
Unmarried
1
0
1
1
1
Manager
21,577
819
0
46
Company Invited
1
30
Salaried
Male
3
4
Deluxe
5
Divorced
3
1
2
1
1
Manager
22,311
2,986
0
55
Company Invited
1
27
Salaried
Fe Male
3
4
Deluxe
3
Unmarried
5
0
4
1
1
Manager
23,547
3,061
0
40
Self Enquiry
1
25
Small Business
Male
2
3
Deluxe
3
Divorced
1
1
2
1
1
Manager
17,741
3,021
0
55
Company Invited
1
8
Salaried
Male
3
3
Standard
4
Married
4
0
1
0
1
Senior Manager
25,976
2,498
0
45
Self Enquiry
1
15
Salaried
Male
4
2
Basic
3
Married
4
1
3
1
1
Executive
21,496
1,791
0
50
Self Enquiry
3
15
Large Business
Male
3
5
Super Deluxe
4
Divorced
8
0
4
1
1
AVP
31,798
2,946
1
30
Self Enquiry
1
8
Salaried
Male
3
3
Basic
4
Unmarried
2
0
3
0
0
Executive
26,916
435
1
40
Self Enquiry
1
13
Salaried
Male
3
3
Basic
5
Single
4
1
3
0
1
Executive
17,166
1,366
0
35
Self Enquiry
1
31
Small Business
Female
2
3
Standard
3
Married
2
1
3
1
1
Senior Manager
25,388
237
0
49
Self Enquiry
3
14
Large Business
Male
2
4
Super Deluxe
4
Divorced
7
0
4
1
0
AVP
28,120
1,910
1
21
Self Enquiry
1
16
Salaried
Female
2
4
Basic
5
Single
2
0
3
0
1
Executive
16,416
109
0
35
Self Enquiry
1
14
Salaried
Male
2
1
Basic
3
Married
2
0
5
1
1
Executive
17,269
781
0
38
Self Enquiry
1
8
Salaried
Female
3
5
Deluxe
3
Married
3
0
1
0
1
Manager
25,152
2,123
0
33
Self Enquiry
3
13
Small Business
Male
3
4
Deluxe
3
Unmarried
3
0
5
1
1
Manager
23,688
163
0
37
Self Enquiry
1
11
Small Business
Male
3
3
Deluxe
3
Married
1
0
3
1
2
Manager
21,347
288
0
30
Self Enquiry
1
14
Salaried
Female
3
1
Standard
5
Married
1
1
1
0
2
Senior Manager
26,416
252
1
34
Self Enquiry
1
12
Small Business
Male
2
3
Basic
5
Single
3
0
4
0
0
Executive
17,960
1,987
0
47
Company Invited
3
12
Small Business
Male
4
4
Deluxe
3
Unmarried
6
1
5
1
2
Manager
24,450
2,779
0
40
Self Enquiry
3
22
Small Business
Male
4
4
Super Deluxe
5
Single
2
0
1
1
3
AVP
32,019
2,844
0
51
Self Enquiry
1
12
Salaried
Male
2
3
King
3
Single
1
0
5
1
1
VP
34,537
767
0
41
Self Enquiry
1
15
Salaried
Female
4
4
Deluxe
5
Married
4
1
1
0
1
Manager
25,194
787
0
29
Self Enquiry
3
26
Small Business
Male
2
3
Deluxe
3
Married
3
0
1
1
0
Manager
21,931
1,381
0
25
Self Enquiry
1
24
Salaried
Male
4
5
Basic
4
Divorced
3
0
3
1
2
Executive
20,805
857
1
33
Self Enquiry
3
11
Small Business
Male
3
6
Standard
3
Married
3
0
1
1
1
Senior Manager
29,078
3,091
0
55
Self Enquiry
1
14
Small Business
Female
4
4
Deluxe
3
Married
6
0
3
1
2
Manager
25,532
2,367
0
41
Self Enquiry
1
9
Small Business
Female
4
4
Basic
3
Married
4
0
1
1
2
Executive
20,679
2,325
0
49
Self Enquiry
1
11
Salaried
Male
3
4
Standard
3
Unmarried
3
0
5
1
2
Senior Manager
26,576
2,410
0
31
Self Enquiry
1
6
Salaried
Male
3
4
Basic
5
Married
2
0
4
1
1
Executive
17,218
1,075
0
41
Company Invited
1
16
Small Business
Male
3
4
Basic
4
Married
2
1
4
0
2
Executive
22,295
965
0
33
Company Invited
1
12
Salaried
Male
1
3
Deluxe
3
Married
4
0
5
1
0
Manager
22,725
1,234
1
37
Self Enquiry
1
16
Small Business
Male
4
5
Basic
3
Married
2
1
1
1
3
Executive
22,066
2,906
1
32
Self Enquiry
3
20
Small Business
Male
3
4
Deluxe
5
Married
4
0
1
0
2
Manager
22,911
945
0
28
Self Enquiry
3
15
Small Business
Female
3
4
Deluxe
4
Married
3
0
1
0
2
Manager
24,892
2,477
0
38
Company Invited
3
28
Small Business
Female
3
4
Basic
3
Divorced
7
0
2
1
2
Executive
21,651
461
0
36
Company Invited
1
11
Salaried
Male
3
4
Deluxe
3
Unmarried
3
1
1
1
2
Manager
22,927
1,411
0
38
Self Enquiry
3
9
Salaried
Male
3
3
Standard
3
Married
1
0
1
1
1
Senior Manager
25,609
2,120
0
33
Company Invited
1
7
Salaried
Male
4
4
Basic
3
Married
2
0
5
1
1
Executive
20,992
157
0
38
Self Enquiry
3
6
Salaried
Male
2
4
Basic
5
Single
5
0
3
0
1
Executive
17,858
932
0
37
Self Enquiry
1
6
Salaried
Male
2
4
Deluxe
3
Married
2
0
5
1
1
Manager
20,993
2,042
0
36
Self Enquiry
3
10
Salaried
Male
4
4
Standard
3
Married
8
0
5
0
3
Senior Manager
26,501
1,729
0
32
Self Enquiry
3
9
Salaried
Male
4
4
Deluxe
3
Unmarried
6
1
5
1
2
Manager
25,260
677
0
55
Company Invited
1
7
Salaried
Female
3
4
Standard
3
Married
2
0
5
1
2
Senior Manager
29,180
2,168
0
30
Self Enquiry
2
15
Salaried
Male
2
3
Deluxe
3
Married
1
1
3
1
1
Manager
21,347
2,195
1
32
Self Enquiry
3
27
Salaried
Female
4
6
Deluxe
3
Divorced
5
1
3
1
1
Manager
23,237
238
0
30
Self Enquiry
3
14
Salaried
Male
3
3
Standard
3
Married
6
0
3
1
0
Senior Manager
22,264
1,241
0
53
Self Enquiry
1
15
Salaried
Female
3
4
Basic
5
Divorced
2
0
1
1
2
Executive
21,628
2,471
0
42
Self Enquiry
1
10
Large Business
Male
2
3
King
3
Divorced
2
0
2
0
1
VP
34,232
243
0
54
Self Enquiry
3
9
Small Business
Female
2
3
Deluxe
5
Divorced
3
0
4
1
1
Manager
20,940
100
0
28
Self Enquiry
1
22
Small Business
Male
3
1
Deluxe
5
Single
1
0
5
0
1
Manager
20,661
315
0
49
Self Enquiry
1
11
Salaried
Male
4
5
Standard
3
Single
2
0
5
1
1
Senior Manager
29,677
940
1
47
Company Invited
3
15
Salaried
Male
2
5
Super Deluxe
3
Married
1
0
5
1
1
AVP
27,936
1,113
0
57
Self Enquiry
3
35
Small Business
Male
2
4
Super Deluxe
3
Married
4
0
3
0
0
AVP
29,118
887
0
37
Self Enquiry
1
9
Salaried
Fe Male
3
4
Deluxe
4
Unmarried
2
1
3
1
1
Manager
24,088
1,135
0
30
Self Enquiry
1
16
Salaried
Male
4
2
Basic
3
Married
8
0
5
1
1
Executive
21,129
261
1
35
Company Invited
3
8
Salaried
Female
3
6
Basic
3
Unmarried
3
0
3
0
2
Executive
23,122
1,345
1
19
Company Invited
1
16
Small Business
Female
3
4
Basic
4
Single
2
1
5
0
2
Executive
16,859
1,756
1
24
Self Enquiry
1
23
Salaried
Female
3
3
Basic
4
Married
2
0
1
1
2
Executive
17,210
195
0
45
Self Enquiry
1
17
Salaried
Male
3
4
Deluxe
3
Divorced
4
1
3
1
2
Manager
25,143
1,896
0
38
Self Enquiry
1
14
Small Business
Male
2
4
Standard
3
Single
6
0
1
0
1
Senior Manager
32,342
2,310
0
47
Company Invited
1
20
Large Business
Male
3
3
Deluxe
4
Married
1
0
3
0
2
Manager
20,467
2,663
0
32
Self Enquiry
1
19
Small Business
Female
4
4
Basic
3
Married
2
1
4
1
2
Executive
22,607
179
0
35
Self Enquiry
1
9
Large Business
Fe Male
4
4
Deluxe
3
Unmarried
3
0
5
1
2
Manager
25,365
990
0
38
Company Invited
3
11
Small Business
Male
3
4
Basic
3
Married
6
0
4
1
1
Executive
20,855
842
1
41
Self Enquiry
3
26
Small Business
Female
3
3
Basic
4
Single
2
1
4
0
1
Executive
18,140
2,394
0
25
Self Enquiry
3
14
Salaried
Female
2
3
Deluxe
3
Married
1
1
1
1
1
Manager
19,907
2,525
0
49
Self Enquiry
1
22
Salaried
Female
4
4
Basic
5
Married
2
0
1
1
1
Executive
21,045
1,340
0
44
Company Invited
1
23
Salaried
Male
3
5
Basic
3
Single
3
0
4
1
0
Executive
17,290
340
0
45
Self Enquiry
1
36
Salaried
Male
3
4
Deluxe
3
Unmarried
3
0
5
1
2
Manager
23,219
2,292
1
29
Self Enquiry
1
31
Large Business
Female
3
4
Basic
4
Divorced
6
0
3
0
2
Executive
17,546
1,448
1
32
Company Invited
1
7
Salaried
Fe Male
4
2
Standard
4
Unmarried
3
0
3
1
3
Senior Manager
26,124
748
0
35
Company Invited
3
6
Small Business
Fe Male
3
3
Standard
3
Unmarried
2
0
5
1
0
Senior Manager
23,789
1,562
0
28
Self Enquiry
3
9
Salaried
Male
4
4
Deluxe
3
Unmarried
3
1
4
0
2
Manager
23,156
662
End of preview. Expand in Data Studio

Tourism Dataset

Dataset Description

This dataset contains information related to tourism, including customer details, travel preferences, and booking information.

Dataset Contents

The dataset contains the following columns:

  • Unnamed: 0: Index column (can likely be ignored).
  • CustomerID: Unique identifier for each customer.
  • ProdTaken: Indicates whether the customer took the product (e.g., a tourism package).
  • Age: Age of the customer.
  • TypeofContact: How the customer was contacted (e.g., Self Enquiry, Company Invited).
  • CityTier: Tier of the city the customer is from.
  • DurationOfPitch: Duration of the sales pitch in minutes.
  • Occupation: Occupation of the customer.
  • Gender: Gender of the customer.
  • NumberOfPersonVisiting: Number of persons visiting with the customer.
  • NumberOfFollowups: Number of follow-up interactions with the customer.
  • ProductPitched: The type of product pitched to the customer.
  • PreferredPropertyStar: Preferred star rating of the property.
  • PreferredFoodStar: Preferred star rating of the food.
  • FirstTripThisYear: Whether this is the customer's first trip this year.
  • NumberOfTrips: Total number of trips taken by the customer.
  • Passport: Indicates if the customer has a passport.
  • PitchSatisfactionScore: Score indicating satisfaction with the pitch.
  • OwnCar: Indicates if the customer owns a car.
  • NumberOfChildrenVisiting: Number of children visiting with the customer.
  • Designation: Designation of the customer.
  • MonthlyIncome: Monthly income of the customer.

Dataset Source

This dataset is likely a simulated or collected dataset related to a tourism company's customer interactions and sales. The specific source is not explicitly stated in the provided data.

Usage

This dataset can be used for various analytical tasks, including:

  • Predicting whether a customer will take a product (ProdTaken).
  • Analyzing factors influencing customer decisions.
  • Segmenting customers based on their characteristics and preferences.

License

(Specify the license if known, otherwise state unknown or leave as a placeholder)

Downloads last month
2