Overview

Dataset statistics

Number of variables19
Number of observations96
Missing cells576
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory168.4 B

Variable types

Categorical8
Unsupported6
DateTime1
Numeric4

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXETRRSRTPRCC0000000

Alerts

관광지위도X좌표 has constant value ""Constant
관광지경도Y좌표 has constant value ""Constant
이용자성별코드 has constant value ""Constant
성인인원갯수 is highly overall correlated with 총금액 and 2 other fieldsHigh correlation
이용시작일자 is highly overall correlated with 관광지명 and 1 other fieldsHigh correlation
총금액 is highly overall correlated with 성인인원갯수 and 3 other fieldsHigh correlation
관광지금액 is highly overall correlated with 총금액 and 2 other fieldsHigh correlation
관광지명 is highly overall correlated with 성인인원갯수 and 6 other fieldsHigh correlation
구매일시 is highly overall correlated with 성인인원갯수 and 6 other fieldsHigh correlation
소아인원갯수 is highly overall correlated with 관광지명 and 1 other fieldsHigh correlation
유아인원갯수 is highly overall correlated with 관광지명 and 1 other fieldsHigh correlation
관광지지역명 has 96 (100.0%) missing valuesMissing
접속장치명 has 96 (100.0%) missing valuesMissing
관광지주소 has 96 (100.0%) missing valuesMissing
관광지유형명 has 96 (100.0%) missing valuesMissing
이용자연령대코드 has 96 (100.0%) missing valuesMissing
이용자광역시도코드 has 96 (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

Reproduction

Analysis started2023-12-10 06:19:13.352897
Analysis finished2023-12-10 06:19:17.307888
Duration3.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광지명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
에코랜드-입장권
12 
카멜리아힐 - 입장권
8 
휴애리 - 관람
8 
여미지식물원-입장료
8 
산방산탄산온천 입장권
6 
Other values (22)
54 

Length

Max length27
Median length20
Mean length11.979167
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주레일파크㈜ - 레일바이크(3인승)
2nd row제주불빛정원&인생사진관(야간)
3rd row제주불빛정원&인생사진관(야간)
4th row제주레일파크㈜ - 레일바이크(3인승)
5th row제주불빛정원&인생사진관(야간)

Common Values

ValueCountFrequency (%)
에코랜드-입장권 12
 
12.5%
카멜리아힐 - 입장권 8
 
8.3%
휴애리 - 관람 8
 
8.3%
여미지식물원-입장료 8
 
8.3%
산방산탄산온천 입장권 6
 
6.2%
허브동산-입장권(주 야간통합) 4
 
4.2%
제주불빛정원&인생사진관(야간) 4
 
4.2%
JSR실탄사격장-실탄사격 4
 
4.2%
소인국테마파크 - 입장권 4
 
4.2%
본태박물관-입장권 4
 
4.2%
Other values (17) 34
35.4%

Length

2023-12-10T15:19:17.440858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
30
16.5%
입장권 20
 
11.0%
에코랜드-입장권 12
 
6.6%
관람 10
 
5.5%
휴애리 8
 
4.4%
여미지식물원-입장료 8
 
4.4%
카멜리아힐 8
 
4.4%
산방산탄산온천 6
 
3.3%
소인국테마파크 4
 
2.2%
아쿠아플라넷 4
 
2.2%
Other values (30) 72
39.6%

관광지지역명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

접속장치명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

구매일시
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2019-12-17 03:33:35
 
4
2019-11-21 16:22:48
 
4
2019-11-27 11:57:07
 
4
2019-12-20 20:57:19
 
2
2019-11-11 14:37:28
 
2
Other values (40)
80 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-19 10:00:59
2nd row2019-12-17 03:33:35
3rd row2019-12-17 03:33:35
4th row2019-12-19 10:00:59
5th row2019-12-17 03:33:35

Common Values

ValueCountFrequency (%)
2019-12-17 03:33:35 4
 
4.2%
2019-11-21 16:22:48 4
 
4.2%
2019-11-27 11:57:07 4
 
4.2%
2019-12-20 20:57:19 2
 
2.1%
2019-11-11 14:37:28 2
 
2.1%
2019-11-25 14:26:25 2
 
2.1%
2019-12-07 16:53:26 2
 
2.1%
2019-12-09 12:30:35 2
 
2.1%
2019-12-15 08:32:33 2
 
2.1%
2019-12-14 18:11:49 2
 
2.1%
Other values (35) 70
72.9%

Length

2023-12-10T15:19:17.671494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-12-17 6
 
3.1%
2019-11-21 6
 
3.1%
2019-11-27 6
 
3.1%
2019-11-20 6
 
3.1%
2019-12-07 4
 
2.1%
2019-12-10 4
 
2.1%
2019-11-29 4
 
2.1%
03:33:35 4
 
2.1%
2019-12-01 4
 
2.1%
2019-11-26 4
 
2.1%
Other values (65) 144
75.0%

취소일시
Date

Distinct48
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2019-11-20 15:19:04
Maximum2019-12-23 11:43:27
2023-12-10T15:19:17.870927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:18.094624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

성인인원갯수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-10T15:19:18.293923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34.25
95-th percentile7
Maximum11
Range10
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.2242681
Coefficient of variation (CV)0.68439017
Kurtosis2.7323737
Mean3.25
Median Absolute Deviation (MAD)1
Skewness1.5533006
Sum312
Variance4.9473684
MonotonicityNot monotonic
2023-12-10T15:19:18.486552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 38
39.6%
1 16
16.7%
4 14
 
14.6%
5 12
 
12.5%
6 6
 
6.2%
3 4
 
4.2%
7 2
 
2.1%
10 2
 
2.1%
11 2
 
2.1%
ValueCountFrequency (%)
1 16
16.7%
2 38
39.6%
3 4
 
4.2%
4 14
 
14.6%
5 12
 
12.5%
6 6
 
6.2%
7 2
 
2.1%
10 2
 
2.1%
11 2
 
2.1%
ValueCountFrequency (%)
11 2
 
2.1%
10 2
 
2.1%
7 2
 
2.1%
6 6
 
6.2%
5 12
 
12.5%
4 14
 
14.6%
3 4
 
4.2%
2 38
39.6%
1 16
16.7%

소아인원갯수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
0
70 
1
18 
3
 
4
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 70
72.9%
1 18
 
18.8%
3 4
 
4.2%
2 4
 
4.2%

Length

2023-12-10T15:19:19.025297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:19.194148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
72.9%
1 18
 
18.8%
3 4
 
4.2%
2 4
 
4.2%

유아인원갯수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
0
60 
1
26 
2
8 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 60
62.5%
1 26
27.1%
2 8
 
8.3%
3 2
 
2.1%

Length

2023-12-10T15:19:19.378243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:19.557469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
62.5%
1 26
27.1%
2 8
 
8.3%
3 2
 
2.1%

이용시작일자
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20191173
Minimum20191120
Maximum20191223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-10T15:19:19.756274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191120
5-th percentile20191123
Q120191126
median20191203
Q320191215
95-th percentile20191222
Maximum20191223
Range103
Interquartile range (IQR)89.25

Descriptive statistics

Standard deviation44.099524
Coefficient of variation (CV)2.1840991 × 10-6
Kurtosis-1.9674412
Mean20191173
Median Absolute Deviation (MAD)19.5
Skewness-0.14238562
Sum1.9383526 × 109
Variance1944.768
MonotonicityNot monotonic
2023-12-10T15:19:19.993681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20191123 10
 
10.4%
20191216 8
 
8.3%
20191129 8
 
8.3%
20191126 8
 
8.3%
20191219 6
 
6.2%
20191130 6
 
6.2%
20191211 4
 
4.2%
20191223 4
 
4.2%
20191124 4
 
4.2%
20191208 4
 
4.2%
Other values (15) 34
35.4%
ValueCountFrequency (%)
20191120 2
 
2.1%
20191121 2
 
2.1%
20191123 10
10.4%
20191124 4
 
4.2%
20191126 8
8.3%
20191127 2
 
2.1%
20191128 2
 
2.1%
20191129 8
8.3%
20191130 6
6.2%
20191201 2
 
2.1%
ValueCountFrequency (%)
20191223 4
4.2%
20191222 2
 
2.1%
20191221 2
 
2.1%
20191219 6
6.2%
20191218 2
 
2.1%
20191216 8
8.3%
20191215 2
 
2.1%
20191214 4
4.2%
20191211 4
4.2%
20191209 4
4.2%

결제수단명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
신용카드
48 
카드
48 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신용카드 48
50.0%
카드 48
50.0%

Length

2023-12-10T15:19:20.203788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:20.360934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신용카드 48
50.0%
카드 48
50.0%

총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50251.042
Minimum11600
Maximum279000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-10T15:19:20.614750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11600
5-th percentile13000
Q124500
median35600
Q359125
95-th percentile125000
Maximum279000
Range267400
Interquartile range (IQR)34625

Descriptive statistics

Standard deviation47159.549
Coefficient of variation (CV)0.93847904
Kurtosis11.234997
Mean50251.042
Median Absolute Deviation (MAD)13950
Skewness3.0528949
Sum4824100
Variance2.2240231 × 109
MonotonicityNot monotonic
2023-12-10T15:19:20.847119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
13000 6
 
6.2%
61000 6
 
6.2%
25000 6
 
6.2%
23000 4
 
4.2%
35200 4
 
4.2%
37000 4
 
4.2%
32500 4
 
4.2%
34000 2
 
2.1%
44000 2
 
2.1%
45800 2
 
2.1%
Other values (28) 56
58.3%
ValueCountFrequency (%)
11600 2
 
2.1%
13000 6
6.2%
17600 2
 
2.1%
18500 2
 
2.1%
19000 2
 
2.1%
19500 2
 
2.1%
19800 2
 
2.1%
21600 2
 
2.1%
23000 4
4.2%
25000 6
6.2%
ValueCountFrequency (%)
279000 2
 
2.1%
187000 2
 
2.1%
125000 2
 
2.1%
106500 2
 
2.1%
102000 2
 
2.1%
101900 2
 
2.1%
75900 2
 
2.1%
75000 2
 
2.1%
64800 2
 
2.1%
61000 6
6.2%

관광지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

관광지위도X좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
0
96 

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 96
100.0%

Length

2023-12-10T15:19:21.084426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:21.240618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
100.0%

관광지경도Y좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
0
96 

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 96
100.0%

Length

2023-12-10T15:19:21.405196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:21.574114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
100.0%

관광지유형명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

관광지금액
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12460.417
Minimum4200
Maximum34000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-10T15:19:21.711762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4200
5-th percentile6500
Q18950
median9900
Q312200
95-th percentile25300
Maximum34000
Range29800
Interquartile range (IQR)3250

Descriptive statistics

Standard deviation6445.4713
Coefficient of variation (CV)0.51727575
Kurtosis2.1083616
Mean12460.417
Median Absolute Deviation (MAD)2300
Skewness1.6578054
Sum1196200
Variance41544101
MonotonicityNot monotonic
2023-12-10T15:19:21.903229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12200 12
12.5%
6500 8
 
8.3%
8800 8
 
8.3%
11700 8
 
8.3%
9500 8
 
8.3%
9250 8
 
8.3%
9900 6
 
6.2%
25000 6
 
6.2%
7000 4
 
4.2%
9000 4
 
4.2%
Other values (11) 24
25.0%
ValueCountFrequency (%)
4200 2
 
2.1%
6500 8
8.3%
7000 4
4.2%
7500 2
 
2.1%
8800 8
8.3%
9000 4
4.2%
9250 8
8.3%
9500 8
8.3%
9900 6
6.2%
10800 2
 
2.1%
ValueCountFrequency (%)
34000 2
 
2.1%
27900 2
 
2.1%
25300 2
 
2.1%
25000 6
6.2%
23000 2
 
2.1%
17000 4
 
4.2%
15000 2
 
2.1%
12500 2
 
2.1%
12200 12
12.5%
11700 8
8.3%

이용자연령대코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

이용자성별코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
3
96 

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 96
100.0%

Length

2023-12-10T15:19:22.112166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:22.263274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 96
100.0%

이용자광역시도코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

Interactions

2023-12-10T15:19:15.989858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:14.291042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:14.821204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:15.424756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:16.157404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:14.413705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:14.972955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:15.573250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:16.299330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:14.546492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:15.123341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:15.707008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:16.434988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:14.688596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:15.277981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:15.831891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:19:22.368343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지명구매일시취소일시성인인원갯수소아인원갯수유아인원갯수이용시작일자결제수단명총금액관광지금액
관광지명1.0000.9991.0000.9540.8320.8220.9010.0000.9421.000
구매일시0.9991.0001.0000.9991.0001.0001.0000.0000.9980.999
취소일시1.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
성인인원갯수0.9540.9991.0001.0000.2300.4840.6400.0000.8740.742
소아인원갯수0.8321.0001.0000.2301.0000.4890.3430.0000.1960.000
유아인원갯수0.8221.0001.0000.4840.4891.0000.1480.0000.5280.524
이용시작일자0.9011.0001.0000.6400.3430.1481.0000.0000.6470.823
결제수단명0.0000.0000.0000.0000.0000.0000.0001.0000.0000.000
총금액0.9420.9981.0000.8740.1960.5280.6470.0001.0000.776
관광지금액1.0000.9991.0000.7420.0000.5240.8230.0000.7761.000
2023-12-10T15:19:22.577891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구매일시소아인원갯수결제수단명유아인원갯수관광지명
구매일시1.0000.7450.0000.7450.830
소아인원갯수0.7451.0000.0000.2070.524
결제수단명0.0000.0001.0000.0000.000
유아인원갯수0.7450.2070.0001.0000.511
관광지명0.8300.5240.0000.5111.000
2023-12-10T15:19:22.750984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성인인원갯수이용시작일자총금액관광지금액관광지명구매일시소아인원갯수유아인원갯수결제수단명
성인인원갯수1.000-0.0440.7090.1400.5880.7280.0790.3090.000
이용시작일자-0.0441.000-0.097-0.0180.6270.7450.1390.0840.000
총금액0.709-0.0971.0000.6570.6770.7430.1380.3220.000
관광지금액0.140-0.0180.6571.0000.8850.7440.0000.2210.000
관광지명0.5880.6270.6770.8851.0000.8300.5240.5110.000
구매일시0.7280.7450.7430.7440.8301.0000.7450.7450.000
소아인원갯수0.0790.1390.1380.0000.5240.7451.0000.2070.000
유아인원갯수0.3090.0840.3220.2210.5110.7450.2071.0000.000
결제수단명0.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-10T15:19:16.668497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:19:17.132580image/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

관광지명관광지지역명접속장치명구매일시취소일시성인인원갯수소아인원갯수유아인원갯수이용시작일자결제수단명총금액관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액이용자연령대코드이용자성별코드이용자광역시도코드
0제주레일파크㈜ - 레일바이크(3인승)<NA><NA>2019-12-19 10:00:592019-12-19 14:53:2610020191219신용카드34000<NA>00<NA>34000<NA>3<NA>
1제주불빛정원&인생사진관(야간)<NA><NA>2019-12-17 03:33:352019-12-19 23:22:0621120191219신용카드32500<NA>00<NA>9500<NA>3<NA>
2제주불빛정원&인생사진관(야간)<NA><NA>2019-12-17 03:33:352019-12-19 23:36:1921120191219신용카드32500<NA>00<NA>9500<NA>3<NA>
3제주레일파크㈜ - 레일바이크(3인승)<NA><NA>2019-12-19 10:00:592019-12-19 14:53:2610020191219카드34000<NA>00<NA>34000<NA>3<NA>
4제주불빛정원&인생사진관(야간)<NA><NA>2019-12-17 03:33:352019-12-19 23:22:0621120191219카드32500<NA>00<NA>9500<NA>3<NA>
5제주불빛정원&인생사진관(야간)<NA><NA>2019-12-17 03:33:352019-12-19 23:36:1921120191219카드32500<NA>00<NA>9500<NA>3<NA>
6제주레일파크㈜ - 레일바이크(2인승)<NA><NA>2019-12-07 16:53:262019-12-09 13:46:2610020191209카드23000<NA>00<NA>23000<NA>3<NA>
7카멜리아힐 - 입장권<NA><NA>2019-12-09 12:30:352019-12-09 15:27:2120020191209카드13000<NA>00<NA>6500<NA>3<NA>
8산방산탄산온천 입장권<NA><NA>2019-12-15 08:32:332019-12-16 10:47:0140020191216카드35200<NA>00<NA>8800<NA>3<NA>
9카멜리아힐 - 입장권<NA><NA>2019-12-14 18:11:492019-12-16 12:15:4960020191216카드39000<NA>00<NA>6500<NA>3<NA>
관광지명관광지지역명접속장치명구매일시취소일시성인인원갯수소아인원갯수유아인원갯수이용시작일자결제수단명총금액관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액이용자연령대코드이용자성별코드이용자광역시도코드
86아쿠아플라넷 제주-종합권<NA><NA>2019-11-29 09:24:122019-12-01 10:28:26100020191201신용카드279000<NA>00<NA>27900<NA>3<NA>
87JSR실탄사격장-실탄사격<NA><NA>2019-12-01 01:07:072019-12-05 17:39:0250020191205신용카드125000<NA>00<NA>25000<NA>3<NA>
88산방산탄산온천 입장권<NA><NA>2019-11-02 15:36:542019-11-27 13:47:1020020191127신용카드17600<NA>00<NA>8800<NA>3<NA>
89여미지식물원-입장료<NA><NA>2019-12-03 08:40:462019-12-04 11:21:2740020191204신용카드37000<NA>00<NA>9250<NA>3<NA>
90본태박물관-입장권<NA><NA>2019-12-01 10:44:132019-12-02 15:04:0960020191202신용카드102000<NA>00<NA>17000<NA>3<NA>
91에코랜드-입장권<NA><NA>2019-11-20 07:57:392019-11-21 13:22:5661220191121신용카드101900<NA>00<NA>12200<NA>3<NA>
92산방산탄산온천 입장권<NA><NA>2019-12-15 08:32:332019-12-16 10:47:0140020191216신용카드35200<NA>00<NA>8800<NA>3<NA>
93카멜리아힐 - 입장권<NA><NA>2019-12-14 18:11:492019-12-16 12:15:4960020191216신용카드39000<NA>00<NA>6500<NA>3<NA>
94아쿠아플라넷 제주-아쿠아리움권<NA><NA>2019-12-13 07:44:132019-12-16 17:36:1721020191216신용카드75900<NA>00<NA>25300<NA>3<NA>
95허브동산-입장권(주 야간통합)<NA><NA>2019-12-16 18:44:142019-12-16 18:49:4223020191216신용카드46800<NA>00<NA>9900<NA>3<NA>