Overview

Dataset statistics

Number of variables12
Number of observations200
Missing cells600
Missing cells (%)25.0%
Duplicate rows61
Duplicate rows (%)30.5%
Total size in memory20.1 KiB
Average record size in memory102.7 B

Variable types

Text2
Categorical3
DateTime1
Numeric3
Unsupported3

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXETRRSRTLIKE0000000

Alerts

Dataset has 61 (30.5%) duplicate rowsDuplicates
관광지위도X좌표 is highly overall correlated with 관광지지역명 and 1 other fieldsHigh correlation
관광지경도Y좌표 is highly overall correlated with 관광지지역명 and 1 other fieldsHigh correlation
관광지금액 is highly overall correlated with 관광지유형명High correlation
관광지지역명 is highly overall correlated with 관광지위도X좌표 and 2 other fieldsHigh correlation
관광지유형명 is highly overall correlated with 관광지위도X좌표 and 3 other fieldsHigh correlation
이용자연령대코드 has 200 (100.0%) missing valuesMissing
이용자성별코드 has 200 (100.0%) missing valuesMissing
이용자광역시도코드 has 200 (100.0%) missing valuesMissing
이용자연령대코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이용자성별코드 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
관광지위도X좌표 has 4 (2.0%) zerosZeros
관광지경도Y좌표 has 4 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:26:21.767455
Analysis finished2023-12-10 06:26:24.808115
Duration3.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct89
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:26:24.992856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length11.96
Min length3

Characters and Unicode

Total characters2392
Distinct characters309
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)12.5%

Sample

1st row서귀포 남진호 배낚시
2nd row제주시 한식 뷔페 섬채
3rd row카멜리아 힐
4th row[11/6-12/31 한정판매] 디톡스 족욕+전신 안마
5th row제주도 한달살기 올레길 완주 트레킹 캠프
ValueCountFrequency (%)
입장권 20
 
4.2%
19
 
4.0%
카멜리아 10
 
2.1%
10
 
2.1%
뷔페 10
 
2.1%
산방산탄산온천 9
 
1.9%
서귀포 8
 
1.7%
배낚시 7
 
1.5%
관람권 7
 
1.5%
제주 7
 
1.5%
Other values (174) 371
77.6%
2023-12-10T15:26:25.556937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
11.7%
57
 
2.4%
49
 
2.0%
44
 
1.8%
41
 
1.7%
36
 
1.5%
36
 
1.5%
35
 
1.5%
35
 
1.5%
32
 
1.3%
Other values (299) 1746
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1880
78.6%
Space Separator 281
 
11.7%
Uppercase Letter 46
 
1.9%
Decimal Number 42
 
1.8%
Close Punctuation 35
 
1.5%
Open Punctuation 35
 
1.5%
Dash Punctuation 25
 
1.0%
Other Punctuation 24
 
1.0%
Math Symbol 13
 
0.5%
Connector Punctuation 5
 
0.2%
Other values (2) 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
3.0%
49
 
2.6%
44
 
2.3%
41
 
2.2%
36
 
1.9%
36
 
1.9%
35
 
1.9%
35
 
1.9%
32
 
1.7%
27
 
1.4%
Other values (262) 1488
79.1%
Uppercase Letter
ValueCountFrequency (%)
A 10
21.7%
L 6
13.0%
S 5
10.9%
F 5
10.9%
T 4
 
8.7%
E 4
 
8.7%
O 3
 
6.5%
I 2
 
4.3%
H 2
 
4.3%
P 2
 
4.3%
Other values (2) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 17
40.5%
2 5
 
11.9%
3 5
 
11.9%
9 4
 
9.5%
7 3
 
7.1%
4 3
 
7.1%
6 3
 
7.1%
8 1
 
2.4%
5 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 14
58.3%
& 5
 
20.8%
· 3
 
12.5%
2
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 29
82.9%
] 6
 
17.1%
Open Punctuation
ValueCountFrequency (%)
( 29
82.9%
[ 6
 
17.1%
Math Symbol
ValueCountFrequency (%)
+ 8
61.5%
~ 5
38.5%
Lowercase Letter
ValueCountFrequency (%)
g 2
50.0%
k 2
50.0%
Space Separator
ValueCountFrequency (%)
281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1882
78.7%
Common 460
 
19.2%
Latin 50
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
3.0%
49
 
2.6%
44
 
2.3%
41
 
2.2%
36
 
1.9%
36
 
1.9%
35
 
1.9%
35
 
1.9%
32
 
1.7%
27
 
1.4%
Other values (263) 1490
79.2%
Common
ValueCountFrequency (%)
281
61.1%
) 29
 
6.3%
( 29
 
6.3%
- 25
 
5.4%
1 17
 
3.7%
/ 14
 
3.0%
+ 8
 
1.7%
[ 6
 
1.3%
] 6
 
1.3%
_ 5
 
1.1%
Other values (12) 40
 
8.7%
Latin
ValueCountFrequency (%)
A 10
20.0%
L 6
12.0%
S 5
10.0%
F 5
10.0%
T 4
 
8.0%
E 4
 
8.0%
O 3
 
6.0%
I 2
 
4.0%
g 2
 
4.0%
k 2
 
4.0%
Other values (4) 7
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1880
78.6%
ASCII 505
 
21.1%
None 7
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
55.6%
) 29
 
5.7%
( 29
 
5.7%
- 25
 
5.0%
1 17
 
3.4%
/ 14
 
2.8%
A 10
 
2.0%
+ 8
 
1.6%
[ 6
 
1.2%
L 6
 
1.2%
Other values (24) 80
 
15.8%
Hangul
ValueCountFrequency (%)
57
 
3.0%
49
 
2.6%
44
 
2.3%
41
 
2.2%
36
 
1.9%
36
 
1.9%
35
 
1.9%
35
 
1.9%
32
 
1.7%
27
 
1.4%
Other values (262) 1488
79.1%
None
ValueCountFrequency (%)
· 3
42.9%
2
28.6%
2
28.6%

관광지지역명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중문/서귀포
93 
동부권
36 
서부권
31 
제주시내권
23 
<NA>
17 

Length

Max length6
Median length5
Mean length4.71
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중문/서귀포
2nd row제주시내권
3rd row중문/서귀포
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
중문/서귀포 93
46.5%
동부권 36
 
18.0%
서부권 31
 
15.5%
제주시내권 23
 
11.5%
<NA> 17
 
8.5%

Length

2023-12-10T15:26:25.832298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:26:26.035845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중문/서귀포 93
46.5%
동부권 36
 
18.0%
서부권 31
 
15.5%
제주시내권 23
 
11.5%
na 17
 
8.5%

접속장치명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
MOBILE
177 
PC
23 

Length

Max length6
Median length6
Mean length5.54
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPC
2nd rowMOBILE
3rd rowMOBILE
4th rowMOBILE
5th rowMOBILE

Common Values

ValueCountFrequency (%)
MOBILE 177
88.5%
PC 23
 
11.5%

Length

2023-12-10T15:26:26.245118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:26:26.404866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile 177
88.5%
pc 23
 
11.5%
Distinct139
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-11-29 00:00:40
Maximum2019-12-19 19:50:33
2023-12-10T15:26:26.579357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:26.815703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct83
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:26:27.555781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length26.33
Min length1

Characters and Unicode

Total characters5266
Distinct characters175
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)10.5%

Sample

1st row제주특별자치도 서귀포시 남원읍 위미해안로 43 2층
2nd row제주특별자치도 제주시 오라로 61 2층
3rd row제주특별자치도 서귀포시 안덕면 병악로 166
4th row제주특별자치도 제주시 노연로 114-1
5th row제주특별자치도 서귀포시 성산읍 고성오조로 106 2층
ValueCountFrequency (%)
제주특별자치도 195
19.7%
서귀포시 111
 
11.2%
제주시 85
 
8.6%
안덕면 37
 
3.7%
조천읍 22
 
2.2%
2층 16
 
1.6%
남원읍 14
 
1.4%
한경면 12
 
1.2%
166 10
 
1.0%
병악로 10
 
1.0%
Other values (178) 477
48.2%
2023-12-10T15:26:28.281147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
932
 
17.7%
302
 
5.7%
300
 
5.7%
201
 
3.8%
198
 
3.8%
196
 
3.7%
195
 
3.7%
195
 
3.7%
195
 
3.7%
1 176
 
3.3%
Other values (165) 2376
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3493
66.3%
Space Separator 932
 
17.7%
Decimal Number 772
 
14.7%
Dash Punctuation 57
 
1.1%
Uppercase Letter 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
302
 
8.6%
300
 
8.6%
201
 
5.8%
198
 
5.7%
196
 
5.6%
195
 
5.6%
195
 
5.6%
195
 
5.6%
159
 
4.6%
131
 
3.8%
Other values (147) 1421
40.7%
Decimal Number
ValueCountFrequency (%)
1 176
22.8%
2 115
14.9%
6 89
11.5%
3 85
11.0%
7 64
 
8.3%
4 54
 
7.0%
9 54
 
7.0%
0 52
 
6.7%
8 49
 
6.3%
5 34
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
U 2
16.7%
R 2
16.7%
B 2
16.7%
A 2
16.7%
N 2
16.7%
E 2
16.7%
Space Separator
ValueCountFrequency (%)
932
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3493
66.3%
Common 1761
33.4%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
302
 
8.6%
300
 
8.6%
201
 
5.8%
198
 
5.7%
196
 
5.6%
195
 
5.6%
195
 
5.6%
195
 
5.6%
159
 
4.6%
131
 
3.8%
Other values (147) 1421
40.7%
Common
ValueCountFrequency (%)
932
52.9%
1 176
 
10.0%
2 115
 
6.5%
6 89
 
5.1%
3 85
 
4.8%
7 64
 
3.6%
- 57
 
3.2%
4 54
 
3.1%
9 54
 
3.1%
0 52
 
3.0%
Other values (2) 83
 
4.7%
Latin
ValueCountFrequency (%)
U 2
16.7%
R 2
16.7%
B 2
16.7%
A 2
16.7%
N 2
16.7%
E 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3493
66.3%
ASCII 1773
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
932
52.6%
1 176
 
9.9%
2 115
 
6.5%
6 89
 
5.0%
3 85
 
4.8%
7 64
 
3.6%
- 57
 
3.2%
4 54
 
3.0%
9 54
 
3.0%
0 52
 
2.9%
Other values (8) 95
 
5.4%
Hangul
ValueCountFrequency (%)
302
 
8.6%
300
 
8.6%
201
 
5.8%
198
 
5.7%
196
 
5.6%
195
 
5.6%
195
 
5.6%
195
 
5.6%
159
 
4.6%
131
 
3.8%
Other values (147) 1421
40.7%

관광지위도X좌표
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct80
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.685673
Minimum0
Maximum33.509918
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:28.538297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.239405
Q133.27102
median33.3219
Q333.448663
95-th percentile33.496067
Maximum33.509918
Range33.509918
Interquartile range (IQR)0.1776424

Descriptive statistics

Standard deviation4.6820015
Coefficient of variation (CV)0.14324323
Kurtosis46.159235
Mean32.685673
Median Absolute Deviation (MAD)0.07299985
Skewness-6.9049067
Sum6537.1346
Variance21.921138
MonotonicityNot monotonic
2023-12-10T15:26:28.758812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.2900444 10
 
5.0%
33.2489004 9
 
4.5%
33.4555296 7
 
3.5%
33.4867669 6
 
3.0%
33.4960674 5
 
2.5%
33.2895195 5
 
2.5%
33.3371661 5
 
2.5%
33.347722 4
 
2.0%
33.2541303 4
 
2.0%
33.3082058 4
 
2.0%
Other values (70) 141
70.5%
ValueCountFrequency (%)
0.0 4
2.0%
33.2114367 2
1.0%
33.2382613 2
1.0%
33.2392231 2
1.0%
33.2394147 2
1.0%
33.2398616 2
1.0%
33.2402491 2
1.0%
33.2470669 2
1.0%
33.2473366 3
1.5%
33.2487954 2
1.0%
ValueCountFrequency (%)
33.5099181 4
2.0%
33.5074916 1
 
0.5%
33.5052016 1
 
0.5%
33.4993408 1
 
0.5%
33.4960674 5
2.5%
33.4892385 1
 
0.5%
33.4882555 3
1.5%
33.4875491 1
 
0.5%
33.4867669 6
3.0%
33.4861709 2
 
1.0%

관광지경도Y좌표
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct80
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.97146
Minimum0
Maximum126.9278
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:29.042758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.23968
Q1126.35459
median126.48394
Q3126.65895
95-th percentile126.83293
Maximum126.9278
Range126.9278
Interquartile range (IQR)0.30435705

Descriptive statistics

Standard deviation17.755593
Coefficient of variation (CV)0.14322323
Kurtosis46.186696
Mean123.97146
Median Absolute Deviation (MAD)0.15538285
Skewness-6.9079234
Sum24794.293
Variance315.2611
MonotonicityNot monotonic
2023-12-10T15:26:29.344529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.368349 10
 
5.0%
126.2987639 9
 
4.5%
126.6681873 7
 
3.5%
126.7068934 6
 
3.0%
126.5103608 5
 
2.5%
126.5888268 5
 
2.5%
126.2684717 5
 
2.5%
126.3568108 4
 
2.0%
126.3222876 4
 
2.0%
126.6332605 4
 
2.0%
Other values (70) 141
70.5%
ValueCountFrequency (%)
0.0 4
2.0%
126.1651579 2
 
1.0%
126.1654719 1
 
0.5%
126.2179652 1
 
0.5%
126.2396825 4
2.0%
126.2550063 3
 
1.5%
126.2684717 5
2.5%
126.2918122 2
 
1.0%
126.2987639 9
4.5%
126.2998439 1
 
0.5%
ValueCountFrequency (%)
126.9277976 4
2.0%
126.9140092 1
 
0.5%
126.8437183 1
 
0.5%
126.8419921 2
1.0%
126.8369662 2
1.0%
126.8327157 2
1.0%
126.8229339 2
1.0%
126.8147248 3
1.5%
126.8008805 3
1.5%
126.7784205 2
1.0%

관광지유형명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
테마공원
82 
전시/박물관
40 
해양관광
20 
스포츠/레저
20 
맛집
13 
Other values (7)
25 

Length

Max length7
Median length4
Mean length4.62
Min length2

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row해양관광
2nd row맛집
3rd row테마공원
4th row뷰티/테라피
5th row테마여행

Common Values

ValueCountFrequency (%)
테마공원 82
41.0%
전시/박물관 40
20.0%
해양관광 20
 
10.0%
스포츠/레저 20
 
10.0%
맛집 13
 
6.5%
뷰티/테라피 8
 
4.0%
제주마을체험 8
 
4.0%
선박 4
 
2.0%
공연/쇼 2
 
1.0%
테마여행 1
 
0.5%
Other values (2) 2
 
1.0%

Length

2023-12-10T15:26:29.567912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
테마공원 82
41.0%
전시/박물관 40
20.0%
해양관광 20
 
10.0%
스포츠/레저 20
 
10.0%
맛집 13
 
6.5%
뷰티/테라피 8
 
4.0%
제주마을체험 8
 
4.0%
선박 4
 
2.0%
공연/쇼 2
 
1.0%
테마여행 1
 
0.5%
Other values (2) 2
 
1.0%

관광지금액
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17211
Minimum3000
Maximum450000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:29.803800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile4300
Q17500
median10200
Q315000
95-th percentile45150
Maximum450000
Range447000
Interquartile range (IQR)7500

Descriptive statistics

Standard deviation33623.228
Coefficient of variation (CV)1.9535894
Kurtosis139.39972
Mean17211
Median Absolute Deviation (MAD)3200
Skewness10.971391
Sum3442200
Variance1.1305215 × 109
MonotonicityNot monotonic
2023-12-10T15:26:30.009618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6500 14
 
7.0%
7000 11
 
5.5%
9000 10
 
5.0%
8800 9
 
4.5%
12000 8
 
4.0%
8000 8
 
4.0%
7500 8
 
4.0%
15000 7
 
3.5%
9500 7
 
3.5%
12200 7
 
3.5%
Other values (45) 111
55.5%
ValueCountFrequency (%)
3000 6
3.0%
3500 2
 
1.0%
4000 1
 
0.5%
4300 2
 
1.0%
4500 2
 
1.0%
5000 2
 
1.0%
5400 2
 
1.0%
6000 2
 
1.0%
6500 14
7.0%
7000 11
5.5%
ValueCountFrequency (%)
450000 1
 
0.5%
89000 2
 
1.0%
60000 1
 
0.5%
57000 2
 
1.0%
48000 4
2.0%
45000 1
 
0.5%
40000 3
1.5%
39100 2
 
1.0%
39000 5
2.5%
34000 1
 
0.5%

이용자연령대코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

이용자성별코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

이용자광역시도코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Interactions

2023-12-10T15:26:23.944233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:22.920189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:23.427478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:24.084268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:23.137948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:23.635299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:24.252432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:23.276121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:26:23.793939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:26:30.154669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지명관광지지역명접속장치명관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액
관광지명1.0001.0000.7051.0001.0001.0001.0001.000
관광지지역명1.0001.0000.0001.000NaNNaN0.7000.311
접속장치명0.7050.0001.0000.7110.5010.5010.5010.000
관광지주소1.0001.0000.7111.0001.0001.0001.0001.000
관광지위도X좌표1.000NaN0.5011.0001.0000.9801.0000.000
관광지경도Y좌표1.000NaN0.5011.0000.9801.0001.0000.000
관광지유형명1.0000.7000.5011.0001.0001.0001.0000.953
관광지금액1.0000.3110.0001.0000.0000.0000.9531.000
2023-12-10T15:26:30.368064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접속장치명관광지유형명관광지지역명
접속장치명1.0000.3810.000
관광지유형명0.3811.0000.526
관광지지역명0.0000.5261.000
2023-12-10T15:26:30.520048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지위도X좌표관광지경도Y좌표관광지금액관광지지역명접속장치명관광지유형명
관광지위도X좌표1.0000.3960.2361.0000.3340.974
관광지경도Y좌표0.3961.0000.0771.0000.3340.974
관광지금액0.2360.0771.0000.2080.0000.735
관광지지역명1.0001.0000.2081.0000.0000.526
접속장치명0.3340.3340.0000.0001.0000.381
관광지유형명0.9740.9740.7350.5260.3811.000

Missing values

2023-12-10T15:26:24.433483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:26:24.701645image/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

관광지명관광지지역명접속장치명등록일시관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액이용자연령대코드이용자성별코드이용자광역시도코드
0서귀포 남진호 배낚시중문/서귀포PC2019-12-14 09:02:55제주특별자치도 서귀포시 남원읍 위미해안로 43 2층33.27102126.658693해양관광12000<NA><NA><NA>
1제주시 한식 뷔페 섬채제주시내권MOBILE2019-12-14 11:38:00제주특별자치도 제주시 오라로 61 2층33.496067126.510361맛집9000<NA><NA><NA>
2카멜리아 힐중문/서귀포MOBILE2019-12-14 18:33:25제주특별자치도 서귀포시 안덕면 병악로 16633.290044126.368349테마공원6500<NA><NA><NA>
3[11/6-12/31 한정판매] 디톡스 족욕+전신 안마<NA>MOBILE2019-12-14 18:43:42제주특별자치도 제주시 노연로 114-133.485598126.492365뷰티/테라피39000<NA><NA><NA>
4제주도 한달살기 올레길 완주 트레킹 캠프<NA>MOBILE2019-12-14 18:44:54제주특별자치도 서귀포시 성산읍 고성오조로 106 2층33.452992126.914009테마여행450000<NA><NA><NA>
5생각하는 정원 관람권서부권MOBILE2019-12-19 15:21:19제주특별자치도 제주시 한경면 녹차분재로 67533.325585126.255006테마공원9000<NA><NA><NA>
6(예약필수)그랑블루 요트투어중문/서귀포MOBILE2019-12-19 15:22:33제주특별자치도 서귀포시 대포로 172-7 제이엠그랑블루요트 2층33.238261126.43956해양관광40000<NA><NA><NA>
7제주 인스킨케어 전신 A타입 (탐나오 단독 특가)제주시내권MOBILE2019-12-19 15:23:23제주특별자치도 제주시 연동 268-2 2층33.483581126.489639뷰티/테라피39000<NA><NA><NA>
8황금손아로마 황제전신/아로마 이용권제주시내권MOBILE2019-12-19 15:23:54제주특별자치도 제주시 노연로 63 2층33.486171126.487046뷰티/테라피48000<NA><NA><NA>
9제주시 한식 뷔페 섬채제주시내권MOBILE2019-12-19 15:24:25제주특별자치도 제주시 오라로 61 2층33.496067126.510361맛집9000<NA><NA><NA>
관광지명관광지지역명접속장치명등록일시관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액이용자연령대코드이용자성별코드이용자광역시도코드
190카멜리아 힐중문/서귀포PC2019-12-02 12:13:10제주특별자치도 서귀포시 안덕면 병악로 16633.290044126.368349테마공원6500<NA><NA><NA>
191(주)제주조각공원-입장권중문/서귀포PC2019-12-02 12:13:18제주특별자치도 서귀포시 안덕면 일주서로 183633.25413126.322288테마공원7000<NA><NA><NA>
192카멜리아 힐중문/서귀포MOBILE2019-12-02 15:31:41제주특별자치도 서귀포시 안덕면 병악로 16633.290044126.368349테마공원6500<NA><NA><NA>
193산방산탄산온천중문/서귀포MOBILE2019-12-02 15:32:22제주특별자치도 서귀포시 안덕면 사계북로41번길 19233.2489126.298764테마공원8800<NA><NA><NA>
194LAF 아트 페스타 야간 입장권동부권MOBILE2019-12-02 16:30:32제주특별자치도 제주시 조천읍 선교로 115-1 제주라프33.486767126.706893전시/박물관10500<NA><NA><NA>
195(주)제주조각공원-입장권중문/서귀포MOBILE2019-12-02 22:12:44제주특별자치도 서귀포시 안덕면 일주서로 183633.25413126.322288테마공원7000<NA><NA><NA>
196제주불빛정원&인생사진관(야간)서부권MOBILE2019-12-02 22:13:03제주특별자치도 제주시 애월읍 평화로 2346 제주장미빛축제33.422596126.408966테마공원9500<NA><NA><NA>
197에코랜드동부권MOBILE2019-12-02 22:14:58제주특별자치도 제주시 조천읍 번영로 1278-16933.45553126.668187테마공원12200<NA><NA><NA>
198아쿠아플라넷-종합권동부권MOBILE2019-12-02 22:15:13제주특별자치도 서귀포시 성산읍 섭지코지로 9533.432978126.927798해양관광26600<NA><NA><NA>
199한림공원서부권MOBILE2019-12-02 22:15:36제주특별자치도 제주시 한림읍 한림로 30033.389495126.239683테마공원11400<NA><NA><NA>

Duplicate rows

Most frequently occurring

관광지명관광지지역명접속장치명등록일시관광지주소관광지위도X좌표관광지경도Y좌표관광지유형명관광지금액# duplicates
0(예약필수)그랑블루 요트투어중문/서귀포MOBILE2019-12-19 15:22:33제주특별자치도 서귀포시 대포로 172-7 제이엠그랑블루요트 2층33.238261126.43956해양관광400002
1(주)제주조각공원-입장권중문/서귀포MOBILE2019-12-19 15:39:11제주특별자치도 서귀포시 안덕면 일주서로 183633.25413126.322288테마공원70002
2LAF 아트 페스타 야간 입장권동부권MOBILE2019-12-19 15:32:04제주특별자치도 제주시 조천읍 선교로 115-1 제주라프33.486767126.706893전시/박물관105002
3SOS박물관중문/서귀포MOBILE2019-12-19 15:34:12제주특별자치도 서귀포시 월드컵로 3133.247067126.507363테마공원80002
4그리스신화박물관서부권MOBILE2019-12-19 15:30:44제주특별자치도 제주시 한림읍 광산로 94233.347722126.356811전시/박물관65002
5놀라운 트릭아이 미술관서부권MOBILE2019-12-19 15:30:35제주특별자치도 제주시 한림읍 광산로 94233.347722126.356811전시/박물관65002
6더 플래닛 THE PLANET / 버디프랜즈중문/서귀포MOBILE2019-12-19 15:27:52제주특별자치도 서귀포시 천제연로 70 더 플래닛33.255215126.412971전시/박물관130002
7메이즈랜드동부권MOBILE2019-12-19 15:37:10제주특별자치도 제주시 구좌읍 평대리 3322 메이즈랜드33.488256126.800881테마공원99002
8박물관은살아있다중문/서귀포MOBILE2019-12-19 15:30:30제주특별자치도 서귀포시 중문관광로 4233.248795126.419885전시/박물관93002
9방림원_일반관람서부권MOBILE2019-12-19 15:33:42제주특별자치도 제주시 한경면 용금로 86433.337166126.268472테마공원75002