Overview

Dataset statistics

Number of variables18
Number of observations200
Missing cells1200
Missing cells (%)33.3%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory31.2 KiB
Average record size in memory159.7 B

Variable types

Categorical8
Unsupported6
DateTime1
Numeric3

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXETRRSRTPRCH0000000

Alerts

관광지위도X좌표 has constant value ""Constant
관광지경도Y좌표 has constant value ""Constant
이용자성별코드 has constant value ""Constant
Dataset has 1 (0.5%) duplicate rowsDuplicates
성인인원갯수 is highly overall correlated with 총금액High correlation
총금액 is highly overall correlated with 성인인원갯수 and 1 other fieldsHigh correlation
관광지금액 is highly overall correlated with 총금액 and 1 other fieldsHigh correlation
관광지명 is highly overall correlated with 관광지금액High correlation
이용시작일자 is highly overall correlated with 결제수단명High correlation
결제수단명 is highly overall correlated with 이용시작일자High correlation
소아인원갯수 is highly imbalanced (59.4%)Imbalance
관광지지역명 has 200 (100.0%) missing valuesMissing
접속장치명 has 200 (100.0%) missing valuesMissing
관광지주소 has 200 (100.0%) missing valuesMissing
관광지유형명 has 200 (100.0%) missing valuesMissing
이용자연령대코드 has 200 (100.0%) missing valuesMissing
이용자광역시도코드 has 200 (100.0%) missing valuesMissing
관광지지역명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
접속장치명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관광지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관광지유형명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이용자연령대코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이용자광역시도코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
성인인원갯수 has 3 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-10 06:30:12.701621
Analysis finished2023-12-10 06:30:17.553043
Duration4.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광지명
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
카멜리아힐 - 입장권
39 
휴애리 - 관람
20 
에코랜드-입장권
 
11
한림공원 - 입장권
 
10
헬로키티아일랜드
 
8
Other values (44)
112 

Length

Max length30
Median length19
Mean length11.02
Min length5

Unique

Unique18 ?
Unique (%)9.0%

Sample

1st row카멜리아힐 - 입장권
2nd row헬로키티아일랜드
3rd row방림원-감귤체험(관람+체험1kg)
4th row카멜리아힐 - 입장권
5th row제주워터서커스-관람권

Common Values

ValueCountFrequency (%)
카멜리아힐 - 입장권 39
19.5%
휴애리 - 관람 20
 
10.0%
에코랜드-입장권 11
 
5.5%
한림공원 - 입장권 10
 
5.0%
헬로키티아일랜드 8
 
4.0%
여미지식물원-입장료 8
 
4.0%
아쿠아플라넷 제주-종합권 6
 
3.0%
제주항공우주박물관-입장권 6
 
3.0%
서귀포잠수함-탑승권 6
 
3.0%
제주테마조각공원 - 러브랜드 입장권 6
 
3.0%
Other values (39) 80
40.0%

Length

2023-12-10T15:30:17.680521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
100
23.0%
입장권 70
16.1%
카멜리아힐 39
 
9.0%
휴애리 20
 
4.6%
관람 20
 
4.6%
에코랜드-입장권 11
 
2.5%
한림공원 10
 
2.3%
헬로키티아일랜드 8
 
1.8%
여미지식물원-입장료 8
 
1.8%
아쿠아플라넷 6
 
1.4%
Other values (60) 143
32.9%

관광지지역명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

접속장치명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

구매일시
Date

Distinct136
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-11-06 12:30:52
Maximum2019-12-23 19:47:00
2023-12-10T15:30:17.905578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:18.219283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

성인인원갯수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.86
Minimum0
Maximum11
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:18.471589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0546308
Coefficient of variation (CV)0.71840236
Kurtosis4.6563943
Mean2.86
Median Absolute Deviation (MAD)0
Skewness2.0759571
Sum572
Variance4.2215075
MonotonicityNot monotonic
2023-12-10T15:30:18.692582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 106
53.0%
1 25
 
12.5%
4 18
 
9.0%
3 17
 
8.5%
5 13
 
6.5%
7 5
 
2.5%
6 4
 
2.0%
10 3
 
1.5%
11 3
 
1.5%
0 3
 
1.5%
Other values (2) 3
 
1.5%
ValueCountFrequency (%)
0 3
 
1.5%
1 25
 
12.5%
2 106
53.0%
3 17
 
8.5%
4 18
 
9.0%
5 13
 
6.5%
6 4
 
2.0%
7 5
 
2.5%
8 2
 
1.0%
9 1
 
0.5%
ValueCountFrequency (%)
11 3
 
1.5%
10 3
 
1.5%
9 1
 
0.5%
8 2
 
1.0%
7 5
 
2.5%
6 4
 
2.0%
5 13
 
6.5%
4 18
 
9.0%
3 17
 
8.5%
2 106
53.0%

소아인원갯수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
168 
1
20 
2
 
11
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 168
84.0%
1 20
 
10.0%
2 11
 
5.5%
3 1
 
0.5%

Length

2023-12-10T15:30:18.903151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:19.075325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 168
84.0%
1 20
 
10.0%
2 11
 
5.5%
3 1
 
0.5%

유아인원갯수
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
138 
1
36 
2
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 138
69.0%
1 36
 
18.0%
2 26
 
13.0%

Length

2023-12-10T15:30:19.245934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:19.424396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 138
69.0%
1 36
 
18.0%
2 26
 
13.0%

이용시작일자
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
20191223
85 
20191207
44 
20191213
39 
20191215
32 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20191207
2nd row20191207
3rd row20191207
4th row20191207
5th row20191207

Common Values

ValueCountFrequency (%)
20191223 85
42.5%
20191207 44
22.0%
20191213 39
19.5%
20191215 32
 
16.0%

Length

2023-12-10T15:30:19.617403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:19.818830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20191223 85
42.5%
20191207 44
22.0%
20191213 39
19.5%
20191215 32
 
16.0%

결제수단명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
카드
161 
신용카드
39 

Length

Max length4
Median length2
Mean length2.39
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row카드
2nd row카드
3rd row카드
4th row카드
5th row카드

Common Values

ValueCountFrequency (%)
카드 161
80.5%
신용카드 39
 
19.5%

Length

2023-12-10T15:30:20.040224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:20.222578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드 161
80.5%
신용카드 39
 
19.5%

총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct102
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41503.5
Minimum8400
Maximum336000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:20.436795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8400
5-th percentile11690
Q119000
median28100
Q345700
95-th percentile106755
Maximum336000
Range327600
Interquartile range (IQR)26700

Descriptive statistics

Standard deviation41389.833
Coefficient of variation (CV)0.99726128
Kurtosis16.053791
Mean41503.5
Median Absolute Deviation (MAD)10500
Skewness3.3951721
Sum8300700
Variance1.7131183 × 109
MonotonicityNot monotonic
2023-12-10T15:30:20.914030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13000 14
 
7.0%
23400 10
 
5.0%
19000 7
 
3.5%
17600 6
 
3.0%
45600 5
 
2.5%
34000 5
 
2.5%
23000 5
 
2.5%
26000 4
 
2.0%
35100 4
 
2.0%
55800 4
 
2.0%
Other values (92) 136
68.0%
ValueCountFrequency (%)
8400 1
 
0.5%
8600 1
 
0.5%
8800 1
 
0.5%
9000 2
1.0%
10700 1
 
0.5%
11250 1
 
0.5%
11500 3
1.5%
11700 1
 
0.5%
12500 2
1.0%
12600 2
1.0%
ValueCountFrequency (%)
336000 1
0.5%
223200 1
0.5%
210000 1
0.5%
187000 1
0.5%
168000 1
0.5%
162000 2
1.0%
125000 1
0.5%
112000 1
0.5%
111600 1
0.5%
106500 2
1.0%

관광지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

관광지위도X좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
200 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 200
100.0%

Length

2023-12-10T15:30:21.123274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:21.304929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 200
100.0%

관광지경도Y좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
200 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 200
100.0%

Length

2023-12-10T15:30:21.473248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:21.630128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 200
100.0%

관광지유형명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

관광지금액
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12930.75
Minimum2250
Maximum56000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:21.795870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2250
5-th percentile6500
Q16950
median9700
Q312200
95-th percentile35430
Maximum56000
Range53750
Interquartile range (IQR)5250

Descriptive statistics

Standard deviation10260.093
Coefficient of variation (CV)0.79346467
Kurtosis7.0362334
Mean12930.75
Median Absolute Deviation (MAD)2500
Skewness2.6815759
Sum2586150
Variance1.0526951 × 108
MonotonicityNot monotonic
2023-12-10T15:30:22.096441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6500 41
20.5%
11700 20
 
10.0%
12200 11
 
5.5%
12500 11
 
5.5%
8800 10
 
5.0%
11400 10
 
5.0%
9000 9
 
4.5%
9500 9
 
4.5%
9250 8
 
4.0%
9900 7
 
3.5%
Other values (29) 64
32.0%
ValueCountFrequency (%)
2250 1
 
0.5%
4200 3
 
1.5%
4300 1
 
0.5%
4500 2
 
1.0%
5000 1
 
0.5%
6500 41
20.5%
6800 1
 
0.5%
7000 2
 
1.0%
8000 3
 
1.5%
8500 1
 
0.5%
ValueCountFrequency (%)
56000 3
1.5%
48000 6
3.0%
43600 1
 
0.5%
35000 2
 
1.0%
34000 1
 
0.5%
31500 1
 
0.5%
27900 6
3.0%
25000 1
 
0.5%
23000 3
1.5%
22000 1
 
0.5%

이용자연령대코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

이용자성별코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
200 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 200
100.0%

Length

2023-12-10T15:30:22.328545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:22.497882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 200
100.0%

이용자광역시도코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

Interactions

2023-12-10T15:30:16.420886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:15.402747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:15.933729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:16.584973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:15.623328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:16.099658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:16.777782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:15.786057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:30:16.265229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:30:22.628182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지명성인인원갯수소아인원갯수유아인원갯수이용시작일자결제수단명총금액관광지금액
관광지명1.0000.3640.6780.7670.4720.0000.7121.000
성인인원갯수0.3641.0000.3400.2780.1760.0000.5210.000
소아인원갯수0.6780.3401.0000.0090.1840.0000.6310.490
유아인원갯수0.7670.2780.0091.0000.1470.0000.4340.063
이용시작일자0.4720.1760.1840.1471.0000.7720.1670.000
결제수단명0.0000.0000.0000.0000.7721.0000.0000.000
총금액0.7120.5210.6310.4340.1670.0001.0000.696
관광지금액1.0000.0000.4900.0630.0000.0000.6961.000
2023-12-10T15:30:22.835204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소아인원갯수유아인원갯수결제수단명이용시작일자관광지명
소아인원갯수1.0000.0000.0000.0730.359
유아인원갯수0.0001.0000.0000.1380.468
결제수단명0.0000.0001.0000.5610.000
이용시작일자0.0730.1380.5611.0000.221
관광지명0.3590.4680.0000.2211.000
2023-12-10T15:30:23.008214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성인인원갯수총금액관광지금액관광지명소아인원갯수유아인원갯수이용시작일자결제수단명
성인인원갯수1.0000.554-0.1630.1120.2050.1690.1030.000
총금액0.5541.0000.5890.3190.3200.3030.0760.000
관광지금액-0.1630.5891.0000.8910.3090.0410.0000.000
관광지명0.1120.3190.8911.0000.3590.4680.2210.000
소아인원갯수0.2050.3200.3090.3591.0000.0000.0730.000
유아인원갯수0.1690.3030.0410.4680.0001.0000.1380.000
이용시작일자0.1030.0760.0000.2210.0730.1381.0000.561
결제수단명0.0000.0000.0000.0000.0000.0000.5611.000

Missing values

2023-12-10T15:30:17.011442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:30:17.398542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

관광지명관광지지역명접속장치명구매일시성인인원갯수소아인원갯수유아인원갯수이용시작일자결제수단명총금액관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액이용자연령대코드이용자성별코드이용자광역시도코드
0카멜리아힐 - 입장권<NA><NA>2019-12-06 19:54:5120020191207카드13000<NA>00<NA>6500<NA>3<NA>
1헬로키티아일랜드<NA><NA>2019-12-07 06:37:1310220191207카드31500<NA>00<NA>12500<NA>3<NA>
2방림원-감귤체험(관람+체험1kg)<NA><NA>2019-12-03 14:25:2340220191207카드71400<NA>00<NA>12900<NA>3<NA>
3카멜리아힐 - 입장권<NA><NA>2019-12-06 09:34:09101020191207카드70000<NA>00<NA>6500<NA>3<NA>
4제주워터서커스-관람권<NA><NA>2019-11-30 19:15:3521020191207카드34000<NA>00<NA>12000<NA>3<NA>
5본태박물관-입장권<NA><NA>2019-12-06 08:05:2730220191207카드71000<NA>00<NA>17000<NA>3<NA>
6에코랜드-입장권<NA><NA>2019-11-30 19:15:3521020191207카드35100<NA>00<NA>12200<NA>3<NA>
7휴애리 - 관람<NA><NA>2019-12-06 07:54:1420120191207카드32400<NA>00<NA>11700<NA>3<NA>
8휴애리 - 관람<NA><NA>2019-12-06 14:19:1710020191207카드11700<NA>00<NA>11700<NA>3<NA>
9카멜리아힐 - 입장권<NA><NA>2019-12-02 07:37:1920020191207카드13000<NA>00<NA>6500<NA>3<NA>
관광지명관광지지역명접속장치명구매일시성인인원갯수소아인원갯수유아인원갯수이용시작일자결제수단명총금액관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액이용자연령대코드이용자성별코드이용자광역시도코드
190카멜리아힐 - 입장권<NA><NA>2019-12-21 10:10:3120020191223신용카드13000<NA>00<NA>6500<NA>3<NA>
191제주돌문화공원-입장권<NA><NA>2019-12-21 15:00:5120020191223신용카드9000<NA>00<NA>4500<NA>3<NA>
192메이즈랜드<NA><NA>2019-12-23 10:42:3520220191223신용카드34800<NA>00<NA>9900<NA>3<NA>
193카멜리아힐 - 입장권<NA><NA>2019-12-22 10:31:4330020191223신용카드19500<NA>00<NA>6500<NA>3<NA>
194아쿠아플라넷 제주-종합권<NA><NA>2019-12-22 09:12:3320020191223신용카드55800<NA>00<NA>27900<NA>3<NA>
195카멜리아힐 - 입장권<NA><NA>2019-12-21 13:16:0411020191223신용카드11500<NA>00<NA>6500<NA>3<NA>
196한림공원 - 입장권<NA><NA>2019-12-22 15:47:0220020191223신용카드22800<NA>00<NA>11400<NA>3<NA>
197서귀포잠수함-탑승권<NA><NA>2019-12-22 12:07:4320020191223신용카드96000<NA>00<NA>48000<NA>3<NA>
198제주김녕미로공원<NA><NA>2019-12-23 03:05:3520220191223신용카드12600<NA>00<NA>4200<NA>3<NA>
199카멜리아힐 - 입장권<NA><NA>2019-12-23 10:39:1920020191223신용카드13000<NA>00<NA>6500<NA>3<NA>

Duplicate rows

Most frequently occurring

관광지명구매일시성인인원갯수소아인원갯수유아인원갯수이용시작일자결제수단명총금액관광지위도X좌표관광지경도Y좌표관광지금액이용자성별코드# duplicates
0에코랜드-입장권2019-12-15 09:36:5450020191215카드61000001220032