Overview

Dataset statistics

Number of variables73
Number of observations7297
Missing cells162376
Missing cells (%)30.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 MiB
Average record size in memory597.0 B

Variable types

Text11
Categorical9
Numeric12
Boolean27
DateTime14

Dataset

Description제주관광정보시스템(VISITJEJU)의 공통 콘텐츠 정보로 콘텐츠ID, 콘텐츠분류, 제목, 언어, 타이틀, 연관콘텐츠, 지번주소, 도로명주소, 위도, 경도, 탐나오연동여부, 평점 등의 정보를 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15049999/fileData.do

Alerts

일정등록수 has constant value ""Constant
사용여부 has constant value ""Constant
영문웹사용여부 has constant value ""Constant
중문웹사용여부 has constant value ""Constant
일문웹사용여부 has constant value ""Constant
번체웹사용여부 has constant value ""Constant
말레이어웹사용여부 has constant value ""Constant
말어모바일사용여부 has constant value ""Constant
언어 is highly imbalanced (92.4%)Imbalance
탐나오연동여부 is highly imbalanced (97.2%)Imbalance
웹사용여부 is highly imbalanced (99.6%)Imbalance
모바일사용여부 is highly imbalanced (99.5%)Imbalance
작성상태 is highly imbalanced (74.9%)Imbalance
영문작성상태 is highly imbalanced (56.6%)Imbalance
중문작성상태 is highly imbalanced (58.6%)Imbalance
일문작성상태 is highly imbalanced (59.2%)Imbalance
영문공개여부 is highly imbalanced (50.9%)Imbalance
중문공개여부 is highly imbalanced (50.3%)Imbalance
일문공개여부 is highly imbalanced (51.9%)Imbalance
영문모바일사용여부 is highly imbalanced (99.7%)Imbalance
중문모바일사용여부 is highly imbalanced (99.7%)Imbalance
일문모바일사용여부 is highly imbalanced (99.7%)Imbalance
템플릿여부 is highly imbalanced (98.4%)Imbalance
말레이어공개여부 is highly imbalanced (56.0%)Imbalance
번체모바일사용여부 is highly imbalanced (99.5%)Imbalance
말레이어검색어자동여부 is highly imbalanced (66.1%)Imbalance
연관콘텐츠 has 7280 (99.8%) missing valuesMissing
지번주소 has 1119 (15.3%) missing valuesMissing
도로명주소 has 1215 (16.7%) missing valuesMissing
위도 has 1011 (13.9%) missing valuesMissing
경도 has 1011 (13.9%) missing valuesMissing
평점 has 1887 (25.9%) missing valuesMissing
소셜네트워크주소 has 5835 (80.0%) missing valuesMissing
외부검색어 has 7259 (99.5%) missing valuesMissing
웹사용여부 has 164 (2.2%) missing valuesMissing
모바일사용여부 has 164 (2.2%) missing valuesMissing
공개여부 has 164 (2.2%) missing valuesMissing
승인일시 has 1305 (17.9%) missing valuesMissing
영문웹사용여부 has 2792 (38.3%) missing valuesMissing
중문웹사용여부 has 3220 (44.1%) missing valuesMissing
일문웹사용여부 has 3203 (43.9%) missing valuesMissing
영문공개여부 has 2792 (38.3%) missing valuesMissing
중문공개여부 has 3220 (44.1%) missing valuesMissing
일문공개여부 has 3203 (43.9%) missing valuesMissing
영문모바일사용여부 has 2792 (38.3%) missing valuesMissing
중문모바일사용여부 has 3220 (44.1%) missing valuesMissing
일문모바일사용여부 has 3203 (43.9%) missing valuesMissing
영문승인일시 has 5136 (70.4%) missing valuesMissing
중문승인일시 has 5634 (77.2%) missing valuesMissing
일문승인일시 has 5550 (76.1%) missing valuesMissing
인기점수 has 337 (4.6%) missing valuesMissing
트립어드바이저코드 has 6070 (83.2%) missing valuesMissing
우편번호 has 5372 (73.6%) missing valuesMissing
번역요청일시 has 474 (6.5%) missing valuesMissing
영문번역요청일시 has 2792 (38.3%) missing valuesMissing
중문번역요청일시 has 3220 (44.1%) missing valuesMissing
일문번역요청일시 has 3203 (43.9%) missing valuesMissing
사진공유수 has 2195 (30.1%) missing valuesMissing
번체웹사용여부 has 4750 (65.1%) missing valuesMissing
말레이어웹사용여부 has 6990 (95.8%) missing valuesMissing
번체공개여부 has 4750 (65.1%) missing valuesMissing
말레이어공개여부 has 6990 (95.8%) missing valuesMissing
번체모바일사용여부 has 4750 (65.1%) missing valuesMissing
말어모바일사용여부 has 6990 (95.8%) missing valuesMissing
번체승인일시 has 6275 (86.0%) missing valuesMissing
말레이어승인일시 has 7136 (97.8%) missing valuesMissing
번체번역요청일시 has 4750 (65.1%) missing valuesMissing
말레이어번역요청일시 has 6990 (95.8%) missing valuesMissing
번체검색어자동여부 has 1966 (26.9%) missing valuesMissing
말레이어검색어자동여부 has 3997 (54.8%) missing valuesMissing
좋아요수 is highly skewed (γ1 = 22.58781648)Skewed
다녀왔어요수 is highly skewed (γ1 = 20.54450716)Skewed
소셜네트워크공유수 is highly skewed (γ1 = 27.56620884)Skewed
콘텐츠아이디 has unique valuesUnique
위도 has 146 (2.0%) zerosZeros
경도 has 146 (2.0%) zerosZeros
평점 has 3337 (45.7%) zerosZeros
조회수 has 342 (4.7%) zerosZeros
좋아요수 has 5129 (70.3%) zerosZeros
리뷰수 has 5238 (71.8%) zerosZeros
북마크수 has 2629 (36.0%) zerosZeros
다녀왔어요수 has 6678 (91.5%) zerosZeros
소셜네트워크공유수 has 4264 (58.4%) zerosZeros
사진공유수 has 3626 (49.7%) zerosZeros

Reproduction

Analysis started2024-03-23 05:36:43.062879
Analysis finished2024-03-23 05:36:50.153628
Duration7.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콘텐츠아이디
Text

UNIQUE 

Distinct7297
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
2024-03-23T14:36:50.436558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters145940
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7297 ?
Unique (%)100.0%

Sample

1st rowCNTS_000000000019943
2nd rowCNTS_200000000009562
3rd rowCONT_000000000500239
4th rowCNTS_000000000021945
5th rowCNTS_000000000018164
ValueCountFrequency (%)
cnts_000000000019943 1
 
< 0.1%
cnts_200000000007625 1
 
< 0.1%
cnts_200000000007464 1
 
< 0.1%
cnts_200000000007463 1
 
< 0.1%
cnts_200000000007375 1
 
< 0.1%
cnts_200000000008614 1
 
< 0.1%
cnts_200000000007651 1
 
< 0.1%
cnts_200000000010353 1
 
< 0.1%
cnts_200000000007572 1
 
< 0.1%
cnts_200000000007610 1
 
< 0.1%
Other values (7287) 7287
99.9%
2024-03-23T14:36:51.191539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74327
50.9%
2 8219
 
5.6%
C 7297
 
5.0%
N 7297
 
5.0%
T 7297
 
5.0%
_ 7297
 
5.0%
1 6925
 
4.7%
S 6283
 
4.3%
5 3697
 
2.5%
3 3155
 
2.2%
Other values (6) 14146
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109455
75.0%
Uppercase Letter 29188
 
20.0%
Connector Punctuation 7297
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74327
67.9%
2 8219
 
7.5%
1 6925
 
6.3%
5 3697
 
3.4%
3 3155
 
2.9%
9 2875
 
2.6%
8 2702
 
2.5%
7 2701
 
2.5%
4 2586
 
2.4%
6 2268
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
C 7297
25.0%
N 7297
25.0%
T 7297
25.0%
S 6283
21.5%
O 1014
 
3.5%
Connector Punctuation
ValueCountFrequency (%)
_ 7297
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116752
80.0%
Latin 29188
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74327
63.7%
2 8219
 
7.0%
_ 7297
 
6.2%
1 6925
 
5.9%
5 3697
 
3.2%
3 3155
 
2.7%
9 2875
 
2.5%
8 2702
 
2.3%
7 2701
 
2.3%
4 2586
 
2.2%
Latin
ValueCountFrequency (%)
C 7297
25.0%
N 7297
25.0%
T 7297
25.0%
S 6283
21.5%
O 1014
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74327
50.9%
2 8219
 
5.6%
C 7297
 
5.0%
N 7297
 
5.0%
T 7297
 
5.0%
_ 7297
 
5.0%
1 6925
 
4.7%
S 6283
 
4.3%
5 3697
 
2.5%
3 3155
 
2.2%
Other values (6) 14146
 
9.7%

콘텐츠분류
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
음식점
2714 
관광지
1547 
숙박
1328 
테마여행
885 
축제/행사
437 
Other values (2)
386 

Length

Max length5
Median length3
Mean length3.0061669
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음식점
2nd row축제/행사
3rd row관광지
4th row음식점
5th row숙박

Common Values

ValueCountFrequency (%)
음식점 2714
37.2%
관광지 1547
21.2%
숙박 1328
18.2%
테마여행 885
 
12.1%
축제/행사 437
 
6.0%
쇼핑 384
 
5.3%
기타 2
 
< 0.1%

Length

2024-03-23T14:36:51.504740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:51.793471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 2714
37.2%
관광지 1547
21.2%
숙박 1328
18.2%
테마여행 885
 
12.1%
축제/행사 437
 
6.0%
쇼핑 384
 
5.3%
기타 2
 
< 0.1%

제목
Text

Distinct7286
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
2024-03-23T14:36:52.285608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length93
Mean length9.9380567
Min length1

Characters and Unicode

Total characters72518
Distinct characters1527
Distinct categories15 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7275 ?
Unique (%)99.7%

Sample

1st row웅스키친
2nd row제주 윈터 페스티벌
3rd row법화사지
4th row제주기정떡
5th row펄호텔제주
ValueCountFrequency (%)
제주 424
 
2.8%
127
 
0.9%
여행 93
 
0.6%
jeju 90
 
0.6%
제주의 65
 
0.4%
52
 
0.3%
제주여행 51
 
0.3%
카페 46
 
0.3%
서귀포 44
 
0.3%
in 43
 
0.3%
Other values (10037) 13871
93.1%
2024-03-23T14:36:53.173288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7742
 
10.7%
1980
 
2.7%
1695
 
2.3%
1278
 
1.8%
1075
 
1.5%
921
 
1.3%
607
 
0.8%
579
 
0.8%
572
 
0.8%
562
 
0.8%
Other values (1517) 55507
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54061
74.5%
Space Separator 7743
 
10.7%
Lowercase Letter 3943
 
5.4%
Uppercase Letter 1833
 
2.5%
Decimal Number 1614
 
2.2%
Math Symbol 1116
 
1.5%
Other Punctuation 899
 
1.2%
Open Punctuation 484
 
0.7%
Close Punctuation 483
 
0.7%
Dash Punctuation 115
 
0.2%
Other values (5) 227
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1980
 
3.7%
1695
 
3.1%
1278
 
2.4%
1075
 
2.0%
921
 
1.7%
607
 
1.1%
579
 
1.1%
572
 
1.1%
562
 
1.0%
561
 
1.0%
Other values (1405) 44231
81.8%
Lowercase Letter
ValueCountFrequency (%)
e 481
12.2%
n 351
 
8.9%
a 343
 
8.7%
i 325
 
8.2%
o 314
 
8.0%
t 275
 
7.0%
u 243
 
6.2%
r 235
 
6.0%
l 208
 
5.3%
s 207
 
5.2%
Other values (17) 961
24.4%
Uppercase Letter
ValueCountFrequency (%)
J 151
 
8.2%
S 139
 
7.6%
A 133
 
7.3%
T 132
 
7.2%
E 130
 
7.1%
O 105
 
5.7%
N 99
 
5.4%
I 99
 
5.4%
C 92
 
5.0%
U 76
 
4.1%
Other values (16) 677
36.9%
Other Punctuation
ValueCountFrequency (%)
, 280
31.1%
? 212
23.6%
! 104
 
11.6%
. 102
 
11.3%
& 79
 
8.8%
' 36
 
4.0%
: 34
 
3.8%
· 11
 
1.2%
/ 9
 
1.0%
" 8
 
0.9%
Other values (9) 24
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 386
23.9%
1 356
22.1%
0 314
19.5%
3 141
 
8.7%
9 92
 
5.7%
8 82
 
5.1%
7 73
 
4.5%
4 69
 
4.3%
5 61
 
3.8%
6 38
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 405
83.9%
] 63
 
13.0%
8
 
1.7%
3
 
0.6%
2
 
0.4%
1
 
0.2%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 404
83.5%
[ 64
 
13.2%
9
 
1.9%
3
 
0.6%
2
 
0.4%
1
 
0.2%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 548
49.1%
< 547
49.0%
~ 10
 
0.9%
× 10
 
0.9%
+ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7742
> 99.9%
  1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
54
91.5%
5
 
8.5%
Initial Punctuation
ValueCountFrequency (%)
37
88.1%
5
 
11.9%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 107
100.0%
Control
ValueCountFrequency (%)
18
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53076
73.2%
Common 12681
 
17.5%
Latin 5776
 
8.0%
Han 614
 
0.8%
Katakana 224
 
0.3%
Hiragana 147
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1980
 
3.7%
1695
 
3.2%
1278
 
2.4%
1075
 
2.0%
921
 
1.7%
607
 
1.1%
579
 
1.1%
572
 
1.1%
562
 
1.1%
561
 
1.1%
Other values (1065) 43246
81.5%
Han
ValueCountFrequency (%)
42
 
6.8%
31
 
5.0%
22
 
3.6%
18
 
2.9%
16
 
2.6%
8
 
1.3%
8
 
1.3%
7
 
1.1%
7
 
1.1%
7
 
1.1%
Other values (246) 448
73.0%
Common
ValueCountFrequency (%)
7742
61.1%
> 548
 
4.3%
< 547
 
4.3%
) 405
 
3.2%
( 404
 
3.2%
2 386
 
3.0%
1 356
 
2.8%
0 314
 
2.5%
, 280
 
2.2%
? 212
 
1.7%
Other values (49) 1487
 
11.7%
Latin
ValueCountFrequency (%)
e 481
 
8.3%
n 351
 
6.1%
a 343
 
5.9%
i 325
 
5.6%
o 314
 
5.4%
t 275
 
4.8%
u 243
 
4.2%
r 235
 
4.1%
l 208
 
3.6%
s 207
 
3.6%
Other values (43) 2794
48.4%
Katakana
ValueCountFrequency (%)
25
 
11.2%
24
 
10.7%
24
 
10.7%
23
 
10.3%
12
 
5.4%
11
 
4.9%
8
 
3.6%
8
 
3.6%
7
 
3.1%
6
 
2.7%
Other values (37) 76
33.9%
Hiragana
ValueCountFrequency (%)
31
21.1%
11
 
7.5%
10
 
6.8%
9
 
6.1%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
4
 
2.7%
Other values (27) 50
34.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53059
73.2%
ASCII 18282
 
25.2%
CJK 611
 
0.8%
Katakana 224
 
0.3%
Hiragana 147
 
0.2%
Punctuation 101
 
0.1%
None 74
 
0.1%
Compat Jamo 17
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7742
42.3%
> 548
 
3.0%
< 547
 
3.0%
e 481
 
2.6%
) 405
 
2.2%
( 404
 
2.2%
2 386
 
2.1%
1 356
 
1.9%
n 351
 
1.9%
a 343
 
1.9%
Other values (77) 6719
36.8%
Hangul
ValueCountFrequency (%)
1980
 
3.7%
1695
 
3.2%
1278
 
2.4%
1075
 
2.0%
921
 
1.7%
607
 
1.1%
579
 
1.1%
572
 
1.1%
562
 
1.1%
561
 
1.1%
Other values (1060) 43229
81.5%
Punctuation
ValueCountFrequency (%)
54
53.5%
37
36.6%
5
 
5.0%
5
 
5.0%
CJK
ValueCountFrequency (%)
42
 
6.9%
31
 
5.1%
22
 
3.6%
18
 
2.9%
16
 
2.6%
8
 
1.3%
8
 
1.3%
7
 
1.1%
7
 
1.1%
7
 
1.1%
Other values (243) 445
72.8%
Hiragana
ValueCountFrequency (%)
31
21.1%
11
 
7.5%
10
 
6.8%
9
 
6.1%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
4
 
2.7%
Other values (27) 50
34.0%
Katakana
ValueCountFrequency (%)
25
 
11.2%
24
 
10.7%
24
 
10.7%
23
 
10.3%
12
 
5.4%
11
 
4.9%
8
 
3.6%
8
 
3.6%
7
 
3.1%
6
 
2.7%
Other values (37) 76
33.9%
None
ValueCountFrequency (%)
· 11
14.9%
× 10
13.5%
9
12.2%
8
10.8%
đ 7
9.5%
4
 
5.4%
4
 
5.4%
3
 
4.1%
3
 
4.1%
2
 
2.7%
Other values (11) 13
17.6%
Compat Jamo
ValueCountFrequency (%)
6
35.3%
4
23.5%
3
17.6%
3
17.6%
1
 
5.9%
CJK Compat Ideographs
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

언어
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
국문
7131 
영문
 
94
일문
 
31
중문간체
 
22
중문번체
 
17

Length

Max length4
Median length2
Mean length2.0112375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국문 7131
97.7%
영문 94
 
1.3%
일문 31
 
0.4%
중문간체 22
 
0.3%
중문번체 17
 
0.2%
말레이문 2
 
< 0.1%

Length

2024-03-23T14:36:53.497276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:53.789001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국문 7131
97.7%
영문 94
 
1.3%
일문 31
 
0.4%
중문간체 22
 
0.3%
중문번체 17
 
0.2%
말레이문 2
 
< 0.1%
Distinct7284
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
2024-03-23T14:36:54.309082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length93
Mean length9.9220227
Min length1

Characters and Unicode

Total characters72401
Distinct characters1525
Distinct categories15 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7271 ?
Unique (%)99.6%

Sample

1st row웅스키친
2nd row제주 윈터 페스티벌
3rd row법화사지
4th row제주기정떡
5th row펄호텔제주
ValueCountFrequency (%)
제주 420
 
2.8%
127
 
0.9%
여행 93
 
0.6%
jeju 91
 
0.6%
제주의 65
 
0.4%
52
 
0.3%
제주여행 51
 
0.3%
카페 46
 
0.3%
서귀포 44
 
0.3%
in 43
 
0.3%
Other values (10031) 13842
93.1%
2024-03-23T14:36:55.134255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7707
 
10.6%
1973
 
2.7%
1692
 
2.3%
1282
 
1.8%
1074
 
1.5%
919
 
1.3%
609
 
0.8%
581
 
0.8%
571
 
0.8%
564
 
0.8%
Other values (1515) 55429
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54011
74.6%
Space Separator 7708
 
10.6%
Lowercase Letter 3977
 
5.5%
Uppercase Letter 1832
 
2.5%
Decimal Number 1559
 
2.2%
Math Symbol 1116
 
1.5%
Other Punctuation 900
 
1.2%
Open Punctuation 480
 
0.7%
Close Punctuation 479
 
0.7%
Dash Punctuation 115
 
0.2%
Other values (5) 224
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1973
 
3.7%
1692
 
3.1%
1282
 
2.4%
1074
 
2.0%
919
 
1.7%
609
 
1.1%
581
 
1.1%
571
 
1.1%
564
 
1.0%
562
 
1.0%
Other values (1405) 44184
81.8%
Lowercase Letter
ValueCountFrequency (%)
e 486
12.2%
n 357
 
9.0%
a 345
 
8.7%
i 329
 
8.3%
o 316
 
7.9%
t 278
 
7.0%
u 244
 
6.1%
r 236
 
5.9%
l 209
 
5.3%
s 209
 
5.3%
Other values (17) 968
24.3%
Uppercase Letter
ValueCountFrequency (%)
J 153
 
8.4%
S 139
 
7.6%
T 132
 
7.2%
A 132
 
7.2%
E 130
 
7.1%
O 104
 
5.7%
N 99
 
5.4%
I 98
 
5.3%
C 93
 
5.1%
U 76
 
4.1%
Other values (16) 676
36.9%
Other Punctuation
ValueCountFrequency (%)
, 280
31.1%
? 212
23.6%
! 104
 
11.6%
. 102
 
11.3%
& 80
 
8.9%
' 36
 
4.0%
: 34
 
3.8%
· 11
 
1.2%
/ 9
 
1.0%
" 8
 
0.9%
Other values (9) 24
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 371
23.8%
1 344
22.1%
0 300
19.2%
3 140
 
9.0%
9 92
 
5.9%
8 77
 
4.9%
4 69
 
4.4%
7 65
 
4.2%
5 61
 
3.9%
6 38
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 402
83.9%
] 63
 
13.2%
8
 
1.7%
3
 
0.6%
2
 
0.4%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 401
83.5%
[ 64
 
13.3%
9
 
1.9%
3
 
0.6%
2
 
0.4%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 548
49.1%
< 547
49.0%
~ 10
 
0.9%
× 10
 
0.9%
+ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7707
> 99.9%
  1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
54
91.5%
5
 
8.5%
Initial Punctuation
ValueCountFrequency (%)
37
88.1%
5
 
11.9%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 104
100.0%
Control
ValueCountFrequency (%)
18
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53026
73.2%
Common 12581
 
17.4%
Latin 5809
 
8.0%
Han 614
 
0.8%
Katakana 224
 
0.3%
Hiragana 147
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1973
 
3.7%
1692
 
3.2%
1282
 
2.4%
1074
 
2.0%
919
 
1.7%
609
 
1.1%
581
 
1.1%
571
 
1.1%
564
 
1.1%
562
 
1.1%
Other values (1065) 43199
81.5%
Han
ValueCountFrequency (%)
42
 
6.8%
31
 
5.0%
22
 
3.6%
18
 
2.9%
16
 
2.6%
8
 
1.3%
8
 
1.3%
7
 
1.1%
7
 
1.1%
7
 
1.1%
Other values (246) 448
73.0%
Common
ValueCountFrequency (%)
7707
61.3%
> 548
 
4.4%
< 547
 
4.3%
) 402
 
3.2%
( 401
 
3.2%
2 371
 
2.9%
1 344
 
2.7%
0 300
 
2.4%
, 280
 
2.2%
? 212
 
1.7%
Other values (47) 1469
 
11.7%
Latin
ValueCountFrequency (%)
e 486
 
8.4%
n 357
 
6.1%
a 345
 
5.9%
i 329
 
5.7%
o 316
 
5.4%
t 278
 
4.8%
u 244
 
4.2%
r 236
 
4.1%
l 209
 
3.6%
s 209
 
3.6%
Other values (43) 2800
48.2%
Katakana
ValueCountFrequency (%)
25
 
11.2%
24
 
10.7%
24
 
10.7%
23
 
10.3%
12
 
5.4%
11
 
4.9%
8
 
3.6%
8
 
3.6%
7
 
3.1%
6
 
2.7%
Other values (37) 76
33.9%
Hiragana
ValueCountFrequency (%)
31
21.1%
11
 
7.5%
10
 
6.8%
9
 
6.1%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
4
 
2.7%
Other values (27) 50
34.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53009
73.2%
ASCII 18217
 
25.2%
CJK 611
 
0.8%
Katakana 224
 
0.3%
Hiragana 147
 
0.2%
Punctuation 101
 
0.1%
None 72
 
0.1%
Compat Jamo 17
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7707
42.3%
> 548
 
3.0%
< 547
 
3.0%
e 486
 
2.7%
) 402
 
2.2%
( 401
 
2.2%
2 371
 
2.0%
n 357
 
2.0%
a 345
 
1.9%
1 344
 
1.9%
Other values (77) 6709
36.8%
Hangul
ValueCountFrequency (%)
1973
 
3.7%
1692
 
3.2%
1282
 
2.4%
1074
 
2.0%
919
 
1.7%
609
 
1.1%
581
 
1.1%
571
 
1.1%
564
 
1.1%
562
 
1.1%
Other values (1060) 43182
81.5%
Punctuation
ValueCountFrequency (%)
54
53.5%
37
36.6%
5
 
5.0%
5
 
5.0%
CJK
ValueCountFrequency (%)
42
 
6.9%
31
 
5.1%
22
 
3.6%
18
 
2.9%
16
 
2.6%
8
 
1.3%
8
 
1.3%
7
 
1.1%
7
 
1.1%
7
 
1.1%
Other values (243) 445
72.8%
Hiragana
ValueCountFrequency (%)
31
21.1%
11
 
7.5%
10
 
6.8%
9
 
6.1%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
4
 
2.7%
Other values (27) 50
34.0%
Katakana
ValueCountFrequency (%)
25
 
11.2%
24
 
10.7%
24
 
10.7%
23
 
10.3%
12
 
5.4%
11
 
4.9%
8
 
3.6%
8
 
3.6%
7
 
3.1%
6
 
2.7%
Other values (37) 76
33.9%
None
ValueCountFrequency (%)
· 11
15.3%
× 10
13.9%
9
12.5%
8
11.1%
đ 7
9.7%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
2
 
2.8%
Other values (9) 11
15.3%
Compat Jamo
ValueCountFrequency (%)
6
35.3%
4
23.5%
3
17.6%
3
17.6%
1
 
5.9%
CJK Compat Ideographs
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

연관콘텐츠
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing7280
Missing (%)99.8%
Memory size57.1 KiB
2024-03-23T14:36:55.532242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length62
Mean length64.470588
Min length20

Characters and Unicode

Total characters1096
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowCONT_000000000500471
2nd rowCONT_000000000500697,CONT_000000000500494,CNTS_000000000020871
3rd rowCNTS_200000000009497,CNTS_000000000000972,CONT_000000000500582
4th rowCONT_000000000500570,CONT_000000000500547,CONT_000000000500580
5th rowCONT_000000000500618,CONT_000000000500731,CONT_000000000500326,CNTS_000000000017497
ValueCountFrequency (%)
cont_000000000500471 1
 
5.9%
cont_000000000500693,cont_000000000500535,cont_000000000500260,cnts_200000000010374 1
 
5.9%
cnts_000000000020931,cont_000000000500378,cont_000000000500285,cnts_000000000000970 1
 
5.9%
cont_000000000500300,cont_000000000500689,cnts_200000000007344,cnts_000000000019566 1
 
5.9%
cont_000000000500694,cnts_000000000018407 1
 
5.9%
cnts_000000000019460,cnts_000000000022082,cnts_200000000007288,cnts_200000000007330 1
 
5.9%
cnts_000000000021411,cont_000000000500384,cnts_000000000019601 1
 
5.9%
cnts_000000000018311,cnts_000000000019750 1
 
5.9%
cont_000000000500559,cnts_000000000022864,cont_000000000500156 1
 
5.9%
cont_000000000500697,cont_000000000500494,cnts_000000000020871 1
 
5.9%
Other values (7) 7
41.2%
2024-03-23T14:36:56.247517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 584
53.3%
C 53
 
4.8%
N 53
 
4.8%
T 53
 
4.8%
_ 53
 
4.8%
5 48
 
4.4%
, 36
 
3.3%
O 31
 
2.8%
1 25
 
2.3%
2 24
 
2.2%
Other values (7) 136
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 795
72.5%
Uppercase Letter 212
 
19.3%
Connector Punctuation 53
 
4.8%
Other Punctuation 36
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 584
73.5%
5 48
 
6.0%
1 25
 
3.1%
2 24
 
3.0%
7 22
 
2.8%
6 19
 
2.4%
4 19
 
2.4%
8 19
 
2.4%
9 18
 
2.3%
3 17
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
C 53
25.0%
N 53
25.0%
T 53
25.0%
O 31
14.6%
S 22
10.4%
Connector Punctuation
ValueCountFrequency (%)
_ 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 884
80.7%
Latin 212
 
19.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 584
66.1%
_ 53
 
6.0%
5 48
 
5.4%
, 36
 
4.1%
1 25
 
2.8%
2 24
 
2.7%
7 22
 
2.5%
6 19
 
2.1%
4 19
 
2.1%
8 19
 
2.1%
Other values (2) 35
 
4.0%
Latin
ValueCountFrequency (%)
C 53
25.0%
N 53
25.0%
T 53
25.0%
O 31
14.6%
S 22
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 584
53.3%
C 53
 
4.8%
N 53
 
4.8%
T 53
 
4.8%
_ 53
 
4.8%
5 48
 
4.4%
, 36
 
3.3%
O 31
 
2.8%
1 25
 
2.3%
2 24
 
2.2%
Other values (7) 136
 
12.4%

지번주소
Text

MISSING 

Distinct5341
Distinct (%)86.5%
Missing1119
Missing (%)15.3%
Memory size57.1 KiB
2024-03-23T14:36:56.888237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length51
Mean length23.785691
Min length7

Characters and Unicode

Total characters146948
Distinct characters400
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4803 ?
Unique (%)77.7%

Sample

1st row제주특별자치도 제주시 이호2동 116-3
2nd row제주특별자치도 서귀포시 하원동 1071-1
3rd row제주특별자치도 제주시 애월읍 광령리 901-4
4th row제주특별자치도 제주시 연동 277-1
5th row제주특별자치도 제주시 도두이동 1669-3
ValueCountFrequency (%)
제주특별자치도 5943
20.6%
제주시 3829
 
13.3%
서귀포시 2321
 
8.1%
구좌읍 562
 
2.0%
애월읍 523
 
1.8%
안덕면 396
 
1.4%
조천읍 395
 
1.4%
성산읍 348
 
1.2%
한림읍 339
 
1.2%
328
 
1.1%
Other values (5023) 13814
48.0%
2024-03-23T14:36:57.938867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22680
 
15.4%
9943
 
6.8%
9933
 
6.8%
6780
 
4.6%
6218
 
4.2%
6059
 
4.1%
5951
 
4.0%
5951
 
4.0%
5950
 
4.0%
1 5709
 
3.9%
Other values (390) 61774
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94604
64.4%
Decimal Number 25480
 
17.3%
Space Separator 22680
 
15.4%
Dash Punctuation 3887
 
2.6%
Close Punctuation 79
 
0.1%
Open Punctuation 78
 
0.1%
Other Punctuation 52
 
< 0.1%
Lowercase Letter 48
 
< 0.1%
Uppercase Letter 39
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9943
 
10.5%
9933
 
10.5%
6780
 
7.2%
6218
 
6.6%
6059
 
6.4%
5951
 
6.3%
5951
 
6.3%
5950
 
6.3%
3477
 
3.7%
2773
 
2.9%
Other values (335) 31569
33.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
18.8%
o 6
12.5%
t 5
10.4%
s 4
8.3%
b 3
 
6.2%
g 3
 
6.2%
n 3
 
6.2%
i 2
 
4.2%
u 2
 
4.2%
p 2
 
4.2%
Other values (7) 9
18.8%
Uppercase Letter
ValueCountFrequency (%)
G 9
23.1%
F 6
15.4%
S 4
10.3%
C 4
10.3%
B 3
 
7.7%
W 2
 
5.1%
J 2
 
5.1%
U 1
 
2.6%
E 1
 
2.6%
I 1
 
2.6%
Other values (6) 6
15.4%
Decimal Number
ValueCountFrequency (%)
1 5709
22.4%
2 3950
15.5%
3 2627
10.3%
4 2178
 
8.5%
5 2038
 
8.0%
7 1987
 
7.8%
6 1893
 
7.4%
0 1807
 
7.1%
8 1656
 
6.5%
9 1635
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 29
55.8%
? 20
38.5%
. 1
 
1.9%
: 1
 
1.9%
/ 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 78
98.7%
] 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 77
98.7%
[ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
22680
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3887
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94603
64.4%
Common 52257
35.6%
Latin 87
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9943
 
10.5%
9933
 
10.5%
6780
 
7.2%
6218
 
6.6%
6059
 
6.4%
5951
 
6.3%
5951
 
6.3%
5950
 
6.3%
3477
 
3.7%
2773
 
2.9%
Other values (334) 31568
33.4%
Latin
ValueCountFrequency (%)
e 9
 
10.3%
G 9
 
10.3%
o 6
 
6.9%
F 6
 
6.9%
t 5
 
5.7%
S 4
 
4.6%
s 4
 
4.6%
C 4
 
4.6%
b 3
 
3.4%
B 3
 
3.4%
Other values (23) 34
39.1%
Common
ValueCountFrequency (%)
22680
43.4%
1 5709
 
10.9%
2 3950
 
7.6%
- 3887
 
7.4%
3 2627
 
5.0%
4 2178
 
4.2%
5 2038
 
3.9%
7 1987
 
3.8%
6 1893
 
3.6%
0 1807
 
3.5%
Other values (12) 3501
 
6.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94603
64.4%
ASCII 52344
35.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22680
43.3%
1 5709
 
10.9%
2 3950
 
7.5%
- 3887
 
7.4%
3 2627
 
5.0%
4 2178
 
4.2%
5 2038
 
3.9%
7 1987
 
3.8%
6 1893
 
3.6%
0 1807
 
3.5%
Other values (45) 3588
 
6.9%
Hangul
ValueCountFrequency (%)
9943
 
10.5%
9933
 
10.5%
6780
 
7.2%
6218
 
6.6%
6059
 
6.4%
5951
 
6.3%
5951
 
6.3%
5950
 
6.3%
3477
 
3.7%
2773
 
2.9%
Other values (334) 31568
33.4%
CJK
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct5208
Distinct (%)85.6%
Missing1215
Missing (%)16.7%
Memory size57.1 KiB
2024-03-23T14:36:58.650599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length53
Mean length23.536666
Min length7

Characters and Unicode

Total characters143150
Distinct characters452
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4656 ?
Unique (%)76.6%

Sample

1st row제주특별자치도 제주시 대동길 17-1
2nd row제주특별자치도 서귀포시 하원북로35번길 15-28
3rd row제주특별자치도 제주시 애월읍 평화로 2747
4th row제주특별자치도 제주시 신대로20길 49
5th row제주특별자치도 제주시 서해안로 301
ValueCountFrequency (%)
제주특별자치도 5867
20.7%
제주시 3770
 
13.3%
서귀포시 2293
 
8.1%
구좌읍 553
 
1.9%
애월읍 514
 
1.8%
안덕면 390
 
1.4%
조천읍 388
 
1.4%
성산읍 342
 
1.2%
한림읍 337
 
1.2%
표선면 205
 
0.7%
Other values (3982) 13728
48.4%
2024-03-23T14:36:59.594661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22367
 
15.6%
9971
 
7.0%
9862
 
6.9%
6410
 
4.5%
6112
 
4.3%
6070
 
4.2%
5879
 
4.1%
5875
 
4.1%
5874
 
4.1%
4471
 
3.1%
Other values (442) 60259
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98679
68.9%
Space Separator 22367
 
15.6%
Decimal Number 19981
 
14.0%
Dash Punctuation 1482
 
1.0%
Close Punctuation 224
 
0.2%
Open Punctuation 223
 
0.2%
Lowercase Letter 76
 
0.1%
Other Punctuation 71
 
< 0.1%
Uppercase Letter 46
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9971
 
10.1%
9862
 
10.0%
6410
 
6.5%
6112
 
6.2%
6070
 
6.2%
5879
 
6.0%
5875
 
6.0%
5874
 
6.0%
4471
 
4.5%
2897
 
2.9%
Other values (387) 35258
35.7%
Lowercase Letter
ValueCountFrequency (%)
o 10
13.2%
e 9
11.8%
l 7
 
9.2%
b 6
 
7.9%
i 4
 
5.3%
a 4
 
5.3%
r 4
 
5.3%
g 4
 
5.3%
n 4
 
5.3%
u 4
 
5.3%
Other values (10) 20
26.3%
Uppercase Letter
ValueCountFrequency (%)
G 8
17.4%
F 8
17.4%
C 5
10.9%
A 4
8.7%
B 4
8.7%
S 4
8.7%
W 2
 
4.3%
J 2
 
4.3%
M 2
 
4.3%
U 1
 
2.2%
Other values (6) 6
13.0%
Decimal Number
ValueCountFrequency (%)
1 4078
20.4%
2 2953
14.8%
3 2089
10.5%
4 2075
10.4%
5 1694
8.5%
6 1657
8.3%
7 1455
 
7.3%
0 1446
 
7.2%
8 1382
 
6.9%
9 1152
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 45
63.4%
? 20
28.2%
. 4
 
5.6%
/ 2
 
2.8%
Space Separator
ValueCountFrequency (%)
22367
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1482
100.0%
Close Punctuation
ValueCountFrequency (%)
) 224
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98679
68.9%
Common 44349
31.0%
Latin 122
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9971
 
10.1%
9862
 
10.0%
6410
 
6.5%
6112
 
6.2%
6070
 
6.2%
5879
 
6.0%
5875
 
6.0%
5874
 
6.0%
4471
 
4.5%
2897
 
2.9%
Other values (387) 35258
35.7%
Latin
ValueCountFrequency (%)
o 10
 
8.2%
e 9
 
7.4%
G 8
 
6.6%
F 8
 
6.6%
l 7
 
5.7%
b 6
 
4.9%
C 5
 
4.1%
i 4
 
3.3%
A 4
 
3.3%
a 4
 
3.3%
Other values (26) 57
46.7%
Common
ValueCountFrequency (%)
22367
50.4%
1 4078
 
9.2%
2 2953
 
6.7%
3 2089
 
4.7%
4 2075
 
4.7%
5 1694
 
3.8%
6 1657
 
3.7%
- 1482
 
3.3%
7 1455
 
3.3%
0 1446
 
3.3%
Other values (9) 3053
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98679
68.9%
ASCII 44471
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22367
50.3%
1 4078
 
9.2%
2 2953
 
6.6%
3 2089
 
4.7%
4 2075
 
4.7%
5 1694
 
3.8%
6 1657
 
3.7%
- 1482
 
3.3%
7 1455
 
3.3%
0 1446
 
3.3%
Other values (45) 3175
 
7.1%
Hangul
ValueCountFrequency (%)
9971
 
10.1%
9862
 
10.0%
6410
 
6.5%
6112
 
6.2%
6070
 
6.2%
5879
 
6.0%
5875
 
6.0%
5874
 
6.0%
4471
 
4.5%
2897
 
2.9%
Other values (387) 35258
35.7%

위도
Real number (ℝ)

MISSING  ZEROS 

Distinct5231
Distinct (%)83.2%
Missing1011
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean32.640897
Minimum0
Maximum37.568489
Zeros146
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:36:59.834664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.231582
Q133.289973
median33.448647
Q333.49855
95-th percentile33.54556
Maximum37.568489
Range37.568489
Interquartile range (IQR)0.2085773

Descriptive statistics

Standard deviation5.0356357
Coefficient of variation (CV)0.15427381
Kurtosis38.047498
Mean32.640897
Median Absolute Deviation (MAD)0.0694685
Skewness-6.3245827
Sum205180.68
Variance25.357626
MonotonicityNot monotonic
2024-03-23T14:37:00.163724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 146
 
2.0%
33.3017501 34
 
0.5%
33.499622 33
 
0.5%
33.9642903 20
 
0.3%
33.2814107 15
 
0.2%
33.4852786 14
 
0.2%
33.9354341 14
 
0.2%
33.4180631 13
 
0.2%
33.4276176 12
 
0.2%
33.4880673 12
 
0.2%
Other values (5221) 5973
81.9%
(Missing) 1011
 
13.9%
ValueCountFrequency (%)
0.0 146
2.0%
33.114143 2
 
< 0.1%
33.11452 1
 
< 0.1%
33.11572697 1
 
< 0.1%
33.115997 1
 
< 0.1%
33.116585 1
 
< 0.1%
33.11664 1
 
< 0.1%
33.11671544 1
 
< 0.1%
33.116863 1
 
< 0.1%
33.11709285 1
 
< 0.1%
ValueCountFrequency (%)
37.5684894 1
 
< 0.1%
35.1899492 1
 
< 0.1%
33.96535809 1
 
< 0.1%
33.9642903 20
0.3%
33.96429 1
 
< 0.1%
33.964085 1
 
< 0.1%
33.96377 1
 
< 0.1%
33.9636778 2
 
< 0.1%
33.9636368 1
 
< 0.1%
33.9632897 2
 
< 0.1%

경도
Real number (ℝ)

MISSING  ZEROS 

Distinct5231
Distinct (%)83.2%
Missing1011
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean123.60038
Minimum0
Maximum128.08093
Zeros146
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:00.463192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.22723
Q1126.36701
median126.51683
Q3126.66685
95-th percentile126.91611
Maximum128.08093
Range128.08093
Interquartile range (IQR)0.29983987

Descriptive statistics

Standard deviation19.062108
Coefficient of variation (CV)0.1542237
Kurtosis38.100637
Mean123.60038
Median Absolute Deviation (MAD)0.14988955
Skewness-6.3311584
Sum776951.98
Variance363.36396
MonotonicityNot monotonic
2024-03-23T14:37:00.816208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 146
 
2.0%
126.3206458 34
 
0.5%
126.53119 34
 
0.5%
126.2929862 20
 
0.3%
126.49447 16
 
0.2%
126.4111118 15
 
0.2%
126.3227638 14
 
0.2%
126.4814609 14
 
0.2%
126.6534847 13
 
0.2%
126.6665803 12
 
0.2%
Other values (5221) 5968
81.8%
(Missing) 1011
 
13.9%
ValueCountFrequency (%)
0.0 146
2.0%
126.148796 1
 
< 0.1%
126.1626 1
 
< 0.1%
126.16281 1
 
< 0.1%
126.163246 1
 
< 0.1%
126.16328 1
 
< 0.1%
126.16345 1
 
< 0.1%
126.164135 1
 
< 0.1%
126.1644338 1
 
< 0.1%
126.16445 1
 
< 0.1%
ValueCountFrequency (%)
128.0809347 1
< 0.1%
126.9816134 1
< 0.1%
126.96945 1
< 0.1%
126.9690646 1
< 0.1%
126.9686027 1
< 0.1%
126.9680172 1
< 0.1%
126.967995 2
< 0.1%
126.9677 1
< 0.1%
126.9676695 2
< 0.1%
126.9676483 1
< 0.1%

탐나오연동여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
True
7276 
False
 
21
ValueCountFrequency (%)
True 7276
99.7%
False 21
 
0.3%
2024-03-23T14:37:01.063145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평점
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.1%
Missing1887
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean1.7591497
Minimum0
Maximum5
Zeros3337
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:01.222870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.2768771
Coefficient of variation (CV)1.2943055
Kurtosis-1.5958319
Mean1.7591497
Median Absolute Deviation (MAD)0
Skewness0.5733032
Sum9517
Variance5.1841694
MonotonicityNot monotonic
2024-03-23T14:37:01.404729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3337
45.7%
5 1463
20.0%
4 411
 
5.6%
3 178
 
2.4%
1 18
 
0.2%
2 3
 
< 0.1%
(Missing) 1887
25.9%
ValueCountFrequency (%)
0 3337
45.7%
1 18
 
0.2%
2 3
 
< 0.1%
3 178
 
2.4%
4 411
 
5.6%
5 1463
20.0%
ValueCountFrequency (%)
5 1463
20.0%
4 411
 
5.6%
3 178
 
2.4%
2 3
 
< 0.1%
1 18
 
0.2%
0 3337
45.7%
Distinct1416
Distinct (%)96.9%
Missing5835
Missing (%)80.0%
Memory size57.1 KiB
2024-03-23T14:37:01.780978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length76
Mean length35.649795
Min length5

Characters and Unicode

Total characters52120
Distinct characters101
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1386 ?
Unique (%)94.8%

Sample

1st rowhttps://www.instagram.com/hands_ofpeople/
2nd rowhttp://www.instagram.com/jeju_lovely_life
3rd rowhttp://www.instagram.com/amber_purehill
4th rowhttp://www.instagram.com/equinoxe_group
5th rowhttps://www.instagram.com/jeju_baco/
ValueCountFrequency (%)
https://www.instagram.com/snoopygardenkorea 7
 
0.5%
https://www.instagram.com/9.81park 5
 
0.3%
https://www.instagram.com/jejusanghyowon 5
 
0.3%
https://www.instagram.com/jeju_herbdongsan 4
 
0.3%
instagram.com/ajdejfosem 4
 
0.3%
https://instagram.com/jeju_hallimpark 4
 
0.3%
http://www.instagram.com/jeju_lovely_life 3
 
0.2%
http://www.instagram.com/equinoxe_group 3
 
0.2%
https://www.instagram.com/jejufolk 3
 
0.2%
https://www.instagram.com/jejustonepark 2
 
0.1%
Other values (1416) 1441
97.3%
2024-03-23T14:37:02.472640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4163
 
8.0%
t 4048
 
7.8%
a 3909
 
7.5%
w 3210
 
6.2%
o 3176
 
6.1%
m 3060
 
5.9%
. 2917
 
5.6%
s 2663
 
5.1%
n 2368
 
4.5%
e 2278
 
4.4%
Other values (91) 20328
39.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41688
80.0%
Other Punctuation 8315
 
16.0%
Decimal Number 904
 
1.7%
Connector Punctuation 890
 
1.7%
Uppercase Letter 167
 
0.3%
Control 42
 
0.1%
Math Symbol 37
 
0.1%
Space Separator 31
 
0.1%
Other Letter 30
 
0.1%
Dash Punctuation 16
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4048
 
9.7%
a 3909
 
9.4%
w 3210
 
7.7%
o 3176
 
7.6%
m 3060
 
7.3%
s 2663
 
6.4%
n 2368
 
5.7%
e 2278
 
5.5%
r 2058
 
4.9%
c 1984
 
4.8%
Other values (16) 12934
31.0%
Uppercase Letter
ValueCountFrequency (%)
A 13
 
7.8%
Y 12
 
7.2%
D 12
 
7.2%
F 10
 
6.0%
U 9
 
5.4%
T 9
 
5.4%
C 9
 
5.4%
L 8
 
4.8%
O 8
 
4.8%
Z 8
 
4.8%
Other values (16) 69
41.3%
Other Letter
ValueCountFrequency (%)
3
 
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (14) 14
46.7%
Other Punctuation
ValueCountFrequency (%)
/ 4163
50.1%
. 2917
35.1%
: 1159
 
13.9%
? 32
 
0.4%
@ 18
 
0.2%
, 9
 
0.1%
% 8
 
0.1%
& 5
 
0.1%
! 2
 
< 0.1%
# 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 163
18.0%
0 143
15.8%
2 131
14.5%
3 86
9.5%
7 78
8.6%
9 73
8.1%
5 66
7.3%
4 60
 
6.6%
8 55
 
6.1%
6 49
 
5.4%
Connector Punctuation
ValueCountFrequency (%)
_ 890
100.0%
Control
ValueCountFrequency (%)
42
100.0%
Math Symbol
ValueCountFrequency (%)
= 37
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41855
80.3%
Common 10235
 
19.6%
Hangul 30
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4048
 
9.7%
a 3909
 
9.3%
w 3210
 
7.7%
o 3176
 
7.6%
m 3060
 
7.3%
s 2663
 
6.4%
n 2368
 
5.7%
e 2278
 
5.4%
r 2058
 
4.9%
c 1984
 
4.7%
Other values (42) 13101
31.3%
Common
ValueCountFrequency (%)
/ 4163
40.7%
. 2917
28.5%
: 1159
 
11.3%
_ 890
 
8.7%
1 163
 
1.6%
0 143
 
1.4%
2 131
 
1.3%
3 86
 
0.8%
7 78
 
0.8%
9 73
 
0.7%
Other values (15) 432
 
4.2%
Hangul
ValueCountFrequency (%)
3
 
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (14) 14
46.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52090
99.9%
Hangul 30
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4163
 
8.0%
t 4048
 
7.8%
a 3909
 
7.5%
w 3210
 
6.2%
o 3176
 
6.1%
m 3060
 
5.9%
. 2917
 
5.6%
s 2663
 
5.1%
n 2368
 
4.5%
e 2278
 
4.4%
Other values (67) 20298
39.0%
Hangul
ValueCountFrequency (%)
3
 
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (14) 14
46.7%

조회수
Real number (ℝ)

ZEROS 

Distinct4365
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6129.698
Minimum0
Maximum813490
Zeros342
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:03.207781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1466
median1857
Q34320
95-th percentile24234.2
Maximum813490
Range813490
Interquartile range (IQR)3854

Descriptive statistics

Standard deviation23877.794
Coefficient of variation (CV)3.8954275
Kurtosis510.42221
Mean6129.698
Median Absolute Deviation (MAD)1602
Skewness19.020719
Sum44728406
Variance5.7014904 × 108
MonotonicityNot monotonic
2024-03-23T14:37:03.527318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 342
 
4.7%
66 16
 
0.2%
84 15
 
0.2%
69 14
 
0.2%
71 13
 
0.2%
54 13
 
0.2%
1 13
 
0.2%
51 13
 
0.2%
63 13
 
0.2%
78 12
 
0.2%
Other values (4355) 6833
93.6%
ValueCountFrequency (%)
0 342
4.7%
1 13
 
0.2%
2 9
 
0.1%
3 2
 
< 0.1%
4 4
 
0.1%
5 3
 
< 0.1%
6 6
 
0.1%
7 2
 
< 0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
813490 1
< 0.1%
743743 1
< 0.1%
700427 1
< 0.1%
634327 1
< 0.1%
425610 1
< 0.1%
415918 1
< 0.1%
319086 1
< 0.1%
294118 1
< 0.1%
279879 1
< 0.1%
256755 1
< 0.1%

외부검색어
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing7259
Missing (%)99.5%
Memory size57.1 KiB
2024-03-23T14:37:03.994424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length15.078947
Min length6

Characters and Unicode

Total characters573
Distinct characters144
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row하추자민박,하추자,하추자항
2nd row추자도모텔, 추자도숙소
3rd row추자민박,추자인테리어
4th row추자낚시대대여,추자바비큐장
5th row추자도민박,추자도숙소,추자도공연장
ValueCountFrequency (%)
제주봄 2
 
2.9%
추천 2
 
2.9%
마을여행 2
 
2.9%
도보여행 2
 
2.9%
제주축제 2
 
2.9%
제주 2
 
2.9%
제주로컬 2
 
2.9%
마당이쁜집,애완동물동반 1
 
1.4%
추자애완동물동반,추자바비큐장 1
 
1.4%
추자일출,추자펜션,추자조식 1
 
1.4%
Other values (53) 53
75.7%
2024-03-23T14:37:04.670483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 56
 
9.8%
50
 
8.7%
49
 
8.6%
34
 
5.9%
28
 
4.9%
24
 
4.2%
19
 
3.3%
18
 
3.1%
10
 
1.7%
10
 
1.7%
Other values (134) 275
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
83.4%
Other Punctuation 61
 
10.6%
Space Separator 34
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
10.5%
49
 
10.3%
28
 
5.9%
24
 
5.0%
19
 
4.0%
18
 
3.8%
10
 
2.1%
10
 
2.1%
9
 
1.9%
9
 
1.9%
Other values (131) 252
52.7%
Other Punctuation
ValueCountFrequency (%)
, 56
91.8%
# 5
 
8.2%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
83.4%
Common 95
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
10.5%
49
 
10.3%
28
 
5.9%
24
 
5.0%
19
 
4.0%
18
 
3.8%
10
 
2.1%
10
 
2.1%
9
 
1.9%
9
 
1.9%
Other values (131) 252
52.7%
Common
ValueCountFrequency (%)
, 56
58.9%
34
35.8%
# 5
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
83.4%
ASCII 95
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 56
58.9%
34
35.8%
# 5
 
5.3%
Hangul
ValueCountFrequency (%)
50
 
10.5%
49
 
10.3%
28
 
5.9%
24
 
5.0%
19
 
4.0%
18
 
3.8%
10
 
2.1%
10
 
2.1%
9
 
1.9%
9
 
1.9%
Other values (131) 252
52.7%

좋아요수
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4604632
Minimum0
Maximum374
Zeros5129
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:04.964265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum374
Range374
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.7043833
Coefficient of variation (CV)5.9600155
Kurtosis720.00098
Mean1.4604632
Median Absolute Deviation (MAD)0
Skewness22.587816
Sum10657
Variance75.766289
MonotonicityNot monotonic
2024-03-23T14:37:05.185331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5129
70.3%
1 977
 
13.4%
2 427
 
5.9%
3 196
 
2.7%
4 123
 
1.7%
5 91
 
1.2%
6 68
 
0.9%
7 40
 
0.5%
8 31
 
0.4%
10 24
 
0.3%
Other values (61) 191
 
2.6%
ValueCountFrequency (%)
0 5129
70.3%
1 977
 
13.4%
2 427
 
5.9%
3 196
 
2.7%
4 123
 
1.7%
5 91
 
1.2%
6 68
 
0.9%
7 40
 
0.5%
8 31
 
0.4%
9 20
 
0.3%
ValueCountFrequency (%)
374 1
< 0.1%
255 1
< 0.1%
233 1
< 0.1%
197 1
< 0.1%
192 1
< 0.1%
133 1
< 0.1%
118 1
< 0.1%
109 1
< 0.1%
106 1
< 0.1%
95 1
< 0.1%

리뷰수
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5983281
Minimum0
Maximum749
Zeros5238
Zeros (%)71.8%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:05.597414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum749
Range749
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.658151
Coefficient of variation (CV)7.4084827
Kurtosis322.6623
Mean3.5983281
Median Absolute Deviation (MAD)0
Skewness16.235687
Sum26257
Variance710.65703
MonotonicityNot monotonic
2024-03-23T14:37:05.910052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5238
71.8%
1 833
 
11.4%
2 333
 
4.6%
3 158
 
2.2%
4 127
 
1.7%
5 84
 
1.2%
6 50
 
0.7%
7 45
 
0.6%
9 38
 
0.5%
8 35
 
0.5%
Other values (116) 356
 
4.9%
ValueCountFrequency (%)
0 5238
71.8%
1 833
 
11.4%
2 333
 
4.6%
3 158
 
2.2%
4 127
 
1.7%
5 84
 
1.2%
6 50
 
0.7%
7 45
 
0.6%
8 35
 
0.5%
9 38
 
0.5%
ValueCountFrequency (%)
749 1
< 0.1%
675 1
< 0.1%
611 1
< 0.1%
596 1
< 0.1%
509 1
< 0.1%
488 1
< 0.1%
477 1
< 0.1%
462 1
< 0.1%
444 1
< 0.1%
443 1
< 0.1%

북마크수
Real number (ℝ)

ZEROS 

Distinct354
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.377689
Minimum0
Maximum4518
Zeros2629
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:06.153372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile92.2
Maximum4518
Range4518
Interquartile range (IQR)7

Descriptive statistics

Standard deviation167.86146
Coefficient of variation (CV)5.9152617
Kurtosis251.12326
Mean28.377689
Median Absolute Deviation (MAD)1
Skewness13.981563
Sum207072
Variance28177.47
MonotonicityNot monotonic
2024-03-23T14:37:06.403437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2629
36.0%
1 1144
15.7%
2 621
 
8.5%
3 399
 
5.5%
4 277
 
3.8%
5 219
 
3.0%
6 160
 
2.2%
7 159
 
2.2%
8 120
 
1.6%
9 107
 
1.5%
Other values (344) 1462
20.0%
ValueCountFrequency (%)
0 2629
36.0%
1 1144
15.7%
2 621
 
8.5%
3 399
 
5.5%
4 277
 
3.8%
5 219
 
3.0%
6 160
 
2.2%
7 159
 
2.2%
8 120
 
1.6%
9 107
 
1.5%
ValueCountFrequency (%)
4518 1
< 0.1%
3657 1
< 0.1%
3656 1
< 0.1%
3566 1
< 0.1%
3185 1
< 0.1%
2891 1
< 0.1%
2788 1
< 0.1%
2774 1
< 0.1%
2682 1
< 0.1%
2425 1
< 0.1%

일정등록수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
0
7297 

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 7297
100.0%

Length

2024-03-23T14:37:06.668930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:06.855155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7297
100.0%

다녀왔어요수
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29176374
Minimum0
Maximum77
Zeros6678
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:07.118225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum77
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3691593
Coefficient of variation (CV)8.1201295
Kurtosis538.59294
Mean0.29176374
Median Absolute Deviation (MAD)0
Skewness20.544507
Sum2129
Variance5.612916
MonotonicityNot monotonic
2024-03-23T14:37:07.458593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 6678
91.5%
1 355
 
4.9%
2 99
 
1.4%
3 42
 
0.6%
4 28
 
0.4%
5 23
 
0.3%
6 10
 
0.1%
7 8
 
0.1%
9 6
 
0.1%
8 5
 
0.1%
Other values (24) 43
 
0.6%
ValueCountFrequency (%)
0 6678
91.5%
1 355
 
4.9%
2 99
 
1.4%
3 42
 
0.6%
4 28
 
0.4%
5 23
 
0.3%
6 10
 
0.1%
7 8
 
0.1%
8 5
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
77 1
< 0.1%
73 1
< 0.1%
68 1
< 0.1%
67 1
< 0.1%
58 1
< 0.1%
41 1
< 0.1%
37 1
< 0.1%
34 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%

웹사용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing164
Missing (%)2.2%
Memory size14.4 KiB
True
7131 
False
 
2
(Missing)
 
164
ValueCountFrequency (%)
True 7131
97.7%
False 2
 
< 0.1%
(Missing) 164
 
2.2%
2024-03-23T14:37:07.695217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모바일사용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing164
Missing (%)2.2%
Memory size14.4 KiB
True
7130 
False
 
3
(Missing)
 
164
ValueCountFrequency (%)
True 7130
97.7%
False 3
 
< 0.1%
(Missing) 164
 
2.2%
2024-03-23T14:37:07.861031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공개여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing164
Missing (%)2.2%
Memory size14.4 KiB
True
5485 
False
1648 
(Missing)
 
164
ValueCountFrequency (%)
True 5485
75.2%
False 1648
 
22.6%
(Missing) 164
 
2.2%
2024-03-23T14:37:08.143094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

작성상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
y
6450 
m
 
505
w
 
322
r
 
15
n
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowy
2nd rowm
3rd rowy
4th rowy
5th rowy

Common Values

ValueCountFrequency (%)
y 6450
88.4%
m 505
 
6.9%
w 322
 
4.4%
r 15
 
0.2%
n 4
 
0.1%
t 1
 
< 0.1%

Length

2024-03-23T14:37:08.344365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:08.533450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 6450
88.4%
m 505
 
6.9%
w 322
 
4.4%
r 15
 
0.2%
n 4
 
0.1%
t 1
 
< 0.1%

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
True
7297 
ValueCountFrequency (%)
True 7297
100.0%
2024-03-23T14:37:08.705652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

승인일시
Date

MISSING 

Distinct4891
Distinct (%)81.6%
Missing1305
Missing (%)17.9%
Memory size57.1 KiB
Minimum2018-04-20 14:13:00
Maximum2024-03-05 14:35:00
2024-03-23T14:37:08.886203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:09.147987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영문웹사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing2792
Missing (%)38.3%
Memory size14.4 KiB
True
4505 
(Missing)
2792 
ValueCountFrequency (%)
True 4505
61.7%
(Missing) 2792
38.3%
2024-03-23T14:37:09.360485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

중문웹사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing3220
Missing (%)44.1%
Memory size14.4 KiB
True
4077 
(Missing)
3220 
ValueCountFrequency (%)
True 4077
55.9%
(Missing) 3220
44.1%
2024-03-23T14:37:09.490919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일문웹사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing3203
Missing (%)43.9%
Memory size14.4 KiB
True
4094 
(Missing)
3203 
ValueCountFrequency (%)
True 4094
56.1%
(Missing) 3203
43.9%
2024-03-23T14:37:09.673997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

영문작성상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
m
4410 
y
2855 
t
 
16
w
 
15
r
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowm
2nd rowm
3rd rowy
4th rowm
5th rowm

Common Values

ValueCountFrequency (%)
m 4410
60.4%
y 2855
39.1%
t 16
 
0.2%
w 15
 
0.2%
r 1
 
< 0.1%

Length

2024-03-23T14:37:09.899885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:10.079214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 4410
60.4%
y 2855
39.1%
t 16
 
0.2%
w 15
 
0.2%
r 1
 
< 0.1%

중문작성상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
m
4911 
y
2342 
t
 
31
w
 
11
r
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowm
2nd rowm
3rd rowy
4th rowm
5th rowy

Common Values

ValueCountFrequency (%)
m 4911
67.3%
y 2342
32.1%
t 31
 
0.4%
w 11
 
0.2%
r 2
 
< 0.1%

Length

2024-03-23T14:37:10.308115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:10.498129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 4911
67.3%
y 2342
32.1%
t 31
 
0.4%
w 11
 
0.2%
r 2
 
< 0.1%

일문작성상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
m
4898 
y
2373 
t
 
15
w
 
9
r
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowm
2nd rowm
3rd rowy
4th rowm
5th rowm

Common Values

ValueCountFrequency (%)
m 4898
67.1%
y 2373
32.5%
t 15
 
0.2%
w 9
 
0.1%
r 2
 
< 0.1%

Length

2024-03-23T14:37:10.690932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:10.895838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 4898
67.1%
y 2373
32.5%
t 15
 
0.2%
w 9
 
0.1%
r 2
 
< 0.1%

영문공개여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2792
Missing (%)38.3%
Memory size14.4 KiB
True
4023 
False
482 
(Missing)
2792 
ValueCountFrequency (%)
True 4023
55.1%
False 482
 
6.6%
(Missing) 2792
38.3%
2024-03-23T14:37:11.073600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

중문공개여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing3220
Missing (%)44.1%
Memory size14.4 KiB
True
3632 
False
445 
(Missing)
3220 
ValueCountFrequency (%)
True 3632
49.8%
False 445
 
6.1%
(Missing) 3220
44.1%
2024-03-23T14:37:11.229901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일문공개여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing3203
Missing (%)43.9%
Memory size14.4 KiB
True
3669 
False
425 
(Missing)
3203 
ValueCountFrequency (%)
True 3669
50.3%
False 425
 
5.8%
(Missing) 3203
43.9%
2024-03-23T14:37:11.385651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

영문모바일사용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2792
Missing (%)38.3%
Memory size14.4 KiB
True
4504 
False
 
1
(Missing)
2792 
ValueCountFrequency (%)
True 4504
61.7%
False 1
 
< 0.1%
(Missing) 2792
38.3%
2024-03-23T14:37:11.530019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

중문모바일사용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing3220
Missing (%)44.1%
Memory size14.4 KiB
True
4076 
False
 
1
(Missing)
3220 
ValueCountFrequency (%)
True 4076
55.9%
False 1
 
< 0.1%
(Missing) 3220
44.1%
2024-03-23T14:37:11.679747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일문모바일사용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing3203
Missing (%)43.9%
Memory size14.4 KiB
True
4093 
False
 
1
(Missing)
3203 
ValueCountFrequency (%)
True 4093
56.1%
False 1
 
< 0.1%
(Missing) 3203
43.9%
2024-03-23T14:37:11.897960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

영문승인일시
Date

MISSING 

Distinct412
Distinct (%)19.1%
Missing5136
Missing (%)70.4%
Memory size57.1 KiB
Minimum2018-04-27 00:00:00
Maximum2024-01-26 00:00:00
2024-03-23T14:37:12.152177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:12.421995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

중문승인일시
Date

MISSING 

Distinct285
Distinct (%)17.1%
Missing5634
Missing (%)77.2%
Memory size57.1 KiB
Minimum2018-05-24 00:00:00
Maximum2024-01-26 00:00:00
2024-03-23T14:37:12.886883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:13.352313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

일문승인일시
Date

MISSING 

Distinct282
Distinct (%)16.1%
Missing5550
Missing (%)76.1%
Memory size57.1 KiB
Minimum2018-05-24 00:00:00
Maximum2024-01-22 00:00:00
2024-03-23T14:37:13.658692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:13.932054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct56
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
2024-03-23T14:37:14.917084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.6190215
Min length4

Characters and Unicode

Total characters62893
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowanonymous
2nd rowiamsunon
3rd rowanonymous
4th rowanonymous
5th rowanonymous
ValueCountFrequency (%)
anonymous 4014
55.0%
iamsunon 898
 
12.3%
goeuncnd 397
 
5.4%
goeuncorp 330
 
4.5%
jto0900045 187
 
2.6%
gorra2296 130
 
1.8%
round7710 110
 
1.5%
olaolab02 85
 
1.2%
mang122 78
 
1.1%
kimhk 77
 
1.1%
Other values (46) 991
 
13.6%
2024-03-23T14:37:15.623131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 11594
18.4%
o 11192
17.8%
a 6395
10.2%
u 5950
9.5%
m 5395
8.6%
s 5111
8.1%
y 4193
 
6.7%
0 1519
 
2.4%
i 1217
 
1.9%
e 1121
 
1.8%
Other values (25) 9206
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 58561
93.1%
Decimal Number 4310
 
6.9%
Other Punctuation 22
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 11594
19.8%
o 11192
19.1%
a 6395
10.9%
u 5950
10.2%
m 5395
9.2%
s 5111
8.7%
y 4193
 
7.2%
i 1217
 
2.1%
e 1121
 
1.9%
g 1115
 
1.9%
Other values (14) 5278
9.0%
Decimal Number
ValueCountFrequency (%)
0 1519
35.2%
2 746
17.3%
9 489
 
11.3%
1 377
 
8.7%
7 318
 
7.4%
6 255
 
5.9%
5 195
 
4.5%
4 187
 
4.3%
3 157
 
3.6%
8 67
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58561
93.1%
Common 4332
 
6.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 11594
19.8%
o 11192
19.1%
a 6395
10.9%
u 5950
10.2%
m 5395
9.2%
s 5111
8.7%
y 4193
 
7.2%
i 1217
 
2.1%
e 1121
 
1.9%
g 1115
 
1.9%
Other values (14) 5278
9.0%
Common
ValueCountFrequency (%)
0 1519
35.1%
2 746
17.2%
9 489
 
11.3%
1 377
 
8.7%
7 318
 
7.3%
6 255
 
5.9%
5 195
 
4.5%
4 187
 
4.3%
3 157
 
3.6%
8 67
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 11594
18.4%
o 11192
17.8%
a 6395
10.2%
u 5950
9.5%
m 5395
8.6%
s 5111
8.1%
y 4193
 
6.7%
0 1519
 
2.4%
i 1217
 
1.9%
e 1121
 
1.8%
Other values (25) 9206
14.6%
Distinct1193
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
Minimum2016-05-30 00:00:00
Maximum2024-02-20 00:00:00
2024-03-23T14:37:15.891062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:16.223254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct56
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
2024-03-23T14:37:16.587118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.6190215
Min length4

Characters and Unicode

Total characters62893
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowanonymous
2nd rowiamsunon
3rd rowanonymous
4th rowanonymous
5th rowanonymous
ValueCountFrequency (%)
anonymous 4014
55.0%
iamsunon 898
 
12.3%
goeuncnd 397
 
5.4%
goeuncorp 330
 
4.5%
jto0900045 187
 
2.6%
gorra2296 130
 
1.8%
round7710 110
 
1.5%
olaolab02 85
 
1.2%
mang122 78
 
1.1%
kimhk 77
 
1.1%
Other values (46) 991
 
13.6%
2024-03-23T14:37:17.323557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 11594
18.4%
o 11192
17.8%
a 6395
10.2%
u 5950
9.5%
m 5395
8.6%
s 5111
8.1%
y 4193
 
6.7%
0 1519
 
2.4%
i 1217
 
1.9%
e 1121
 
1.8%
Other values (25) 9206
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 58561
93.1%
Decimal Number 4310
 
6.9%
Other Punctuation 22
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 11594
19.8%
o 11192
19.1%
a 6395
10.9%
u 5950
10.2%
m 5395
9.2%
s 5111
8.7%
y 4193
 
7.2%
i 1217
 
2.1%
e 1121
 
1.9%
g 1115
 
1.9%
Other values (14) 5278
9.0%
Decimal Number
ValueCountFrequency (%)
0 1519
35.2%
2 746
17.3%
9 489
 
11.3%
1 377
 
8.7%
7 318
 
7.4%
6 255
 
5.9%
5 195
 
4.5%
4 187
 
4.3%
3 157
 
3.6%
8 67
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58561
93.1%
Common 4332
 
6.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 11594
19.8%
o 11192
19.1%
a 6395
10.9%
u 5950
10.2%
m 5395
9.2%
s 5111
8.7%
y 4193
 
7.2%
i 1217
 
2.1%
e 1121
 
1.9%
g 1115
 
1.9%
Other values (14) 5278
9.0%
Common
ValueCountFrequency (%)
0 1519
35.1%
2 746
17.2%
9 489
 
11.3%
1 377
 
8.7%
7 318
 
7.3%
6 255
 
5.9%
5 195
 
4.5%
4 187
 
4.3%
3 157
 
3.6%
8 67
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 11594
18.4%
o 11192
17.8%
a 6395
10.2%
u 5950
9.5%
m 5395
8.6%
s 5111
8.1%
y 4193
 
6.7%
0 1519
 
2.4%
i 1217
 
1.9%
e 1121
 
1.8%
Other values (25) 9206
14.6%
Distinct237
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
Minimum2018-06-07 00:00:00
Maximum2024-03-08 00:00:00
2024-03-23T14:37:17.634100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:17.949767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소셜네트워크공유수
Real number (ℝ)

SKEWED  ZEROS 

Distinct114
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1034672
Minimum0
Maximum1252
Zeros4264
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:18.263037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1252
Range1252
Interquartile range (IQR)2

Descriptive statistics

Standard deviation28.323759
Coefficient of variation (CV)6.9023968
Kurtosis985.24702
Mean4.1034672
Median Absolute Deviation (MAD)0
Skewness27.566209
Sum29943
Variance802.23532
MonotonicityNot monotonic
2024-03-23T14:37:18.551280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4264
58.4%
1 990
 
13.6%
2 515
 
7.1%
3 336
 
4.6%
4 197
 
2.7%
5 144
 
2.0%
6 127
 
1.7%
7 86
 
1.2%
8 75
 
1.0%
9 43
 
0.6%
Other values (104) 520
 
7.1%
ValueCountFrequency (%)
0 4264
58.4%
1 990
 
13.6%
2 515
 
7.1%
3 336
 
4.6%
4 197
 
2.7%
5 144
 
2.0%
6 127
 
1.7%
7 86
 
1.2%
8 75
 
1.0%
9 43
 
0.6%
ValueCountFrequency (%)
1252 1
< 0.1%
1042 1
< 0.1%
905 1
< 0.1%
725 1
< 0.1%
435 1
< 0.1%
421 1
< 0.1%
329 1
< 0.1%
306 1
< 0.1%
302 1
< 0.1%
263 2
< 0.1%

인기점수
Real number (ℝ)

MISSING 

Distinct4902
Distinct (%)70.4%
Missing337
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean12876.295
Minimum0
Maximum1630290
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:18.824414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile124
Q11223.25
median3957.5
Q39183.25
95-th percentile51117.45
Maximum1630290
Range1630290
Interquartile range (IQR)7960

Descriptive statistics

Standard deviation48935.16
Coefficient of variation (CV)3.8004069
Kurtosis488.70144
Mean12876.295
Median Absolute Deviation (MAD)3216.5
Skewness18.625675
Sum89619013
Variance2.3946499 × 109
MonotonicityNot monotonic
2024-03-23T14:37:19.147944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 14
 
0.2%
138 14
 
0.2%
2 13
 
0.2%
108 13
 
0.2%
102 13
 
0.2%
168 13
 
0.2%
142 13
 
0.2%
126 12
 
0.2%
150 12
 
0.2%
134 12
 
0.2%
Other values (4892) 6831
93.6%
(Missing) 337
 
4.6%
ValueCountFrequency (%)
0 5
 
0.1%
2 13
0.2%
4 9
0.1%
6 2
 
< 0.1%
8 4
 
0.1%
10 3
 
< 0.1%
12 6
0.1%
14 2
 
< 0.1%
18 2
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
1630290 1
< 0.1%
1491165 1
< 0.1%
1405031 1
< 0.1%
1270022 1
< 0.1%
851743 1
< 0.1%
833171 1
< 0.1%
640187 1
< 0.1%
591122 1
< 0.1%
561892 1
< 0.1%
516541 1
< 0.1%

트립어드바이저코드
Real number (ℝ)

MISSING 

Distinct1197
Distinct (%)97.6%
Missing6070
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean8482028.7
Minimum297885
Maximum16766344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:19.546036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum297885
5-th percentile2150701.5
Q17687238
median9116386
Q39443065.5
95-th percentile12820606
Maximum16766344
Range16468459
Interquartile range (IQR)1755827.5

Descriptive statistics

Standard deviation3047635.5
Coefficient of variation (CV)0.35930502
Kurtosis0.41986781
Mean8482028.7
Median Absolute Deviation (MAD)785010
Skewness-0.84729513
Sum1.0407449 × 1010
Variance9.2880823 × 1012
MonotonicityNot monotonic
2024-03-23T14:37:19.835176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9305788 10
 
0.1%
9736427 3
 
< 0.1%
4323883 2
 
< 0.1%
12789168 2
 
< 0.1%
7987797 2
 
< 0.1%
9232261 2
 
< 0.1%
9173662 2
 
< 0.1%
9047106 2
 
< 0.1%
3805604 2
 
< 0.1%
10586744 2
 
< 0.1%
Other values (1187) 1198
 
16.4%
(Missing) 6070
83.2%
ValueCountFrequency (%)
297885 1
< 0.1%
299151 1
< 0.1%
301723 1
< 0.1%
306053 1
< 0.1%
306055 1
< 0.1%
306058 1
< 0.1%
455471 1
< 0.1%
455472 1
< 0.1%
455473 1
< 0.1%
455474 1
< 0.1%
ValueCountFrequency (%)
16766344 1
< 0.1%
13385471 1
< 0.1%
13378354 1
< 0.1%
13361018 1
< 0.1%
13360901 1
< 0.1%
13360848 1
< 0.1%
13360691 1
< 0.1%
13360651 1
< 0.1%
13356524 1
< 0.1%
13355821 1
< 0.1%

우편번호
Text

MISSING 

Distinct416
Distinct (%)21.6%
Missing5372
Missing (%)73.6%
Memory size57.1 KiB
2024-03-23T14:37:20.475790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.8987013
Min length1

Characters and Unicode

Total characters9430
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)7.5%

Sample

1st row63355
2nd row63062
3rd row63136
4th row63034
5th row63341
ValueCountFrequency (%)
98
 
5.1%
63358 44
 
2.3%
63643 33
 
1.7%
63333 33
 
1.7%
63629 32
 
1.7%
63528 31
 
1.6%
63011 29
 
1.5%
63365 28
 
1.5%
63361 25
 
1.3%
63357 23
 
1.2%
Other values (406) 1549
80.5%
2024-03-23T14:37:21.240932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2621
27.8%
6 2452
26.0%
5 843
 
8.9%
0 707
 
7.5%
1 650
 
6.9%
4 513
 
5.4%
2 490
 
5.2%
9 448
 
4.8%
8 263
 
2.8%
7 249
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9236
97.9%
Dash Punctuation 194
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2621
28.4%
6 2452
26.5%
5 843
 
9.1%
0 707
 
7.7%
1 650
 
7.0%
4 513
 
5.6%
2 490
 
5.3%
9 448
 
4.9%
8 263
 
2.8%
7 249
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2621
27.8%
6 2452
26.0%
5 843
 
8.9%
0 707
 
7.5%
1 650
 
6.9%
4 513
 
5.4%
2 490
 
5.2%
9 448
 
4.8%
8 263
 
2.8%
7 249
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2621
27.8%
6 2452
26.0%
5 843
 
8.9%
0 707
 
7.5%
1 650
 
6.9%
4 513
 
5.4%
2 490
 
5.2%
9 448
 
4.8%
8 263
 
2.8%
7 249
 
2.6%

템플릿여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
False
7286 
True
 
11
ValueCountFrequency (%)
False 7286
99.8%
True 11
 
0.2%
2024-03-23T14:37:21.466015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

번역요청일시
Date

MISSING 

Distinct1029
Distinct (%)15.1%
Missing474
Missing (%)6.5%
Memory size57.1 KiB
Minimum2016-05-30 00:00:00
Maximum2024-02-19 00:00:00
2024-03-23T14:37:21.680889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:21.970958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct674
Distinct (%)15.0%
Missing2792
Missing (%)38.3%
Memory size57.1 KiB
Minimum2016-05-30 00:00:00
Maximum2024-02-20 00:00:00
2024-03-23T14:37:22.191191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:22.522561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct497
Distinct (%)12.2%
Missing3220
Missing (%)44.1%
Memory size57.1 KiB
Minimum2016-05-30 00:00:00
Maximum2024-01-26 00:00:00
2024-03-23T14:37:22.832438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:23.051971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct495
Distinct (%)12.1%
Missing3203
Missing (%)43.9%
Memory size57.1 KiB
Minimum2016-05-30 00:00:00
Maximum2024-01-22 00:00:00
2024-03-23T14:37:23.277328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:23.544639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
True
5716 
False
1581 
ValueCountFrequency (%)
True 5716
78.3%
False 1581
 
21.7%
2024-03-23T14:37:23.724010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
False
5066 
True
2231 
ValueCountFrequency (%)
False 5066
69.4%
True 2231
30.6%
2024-03-23T14:37:23.903683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
False
5547 
True
1750 
ValueCountFrequency (%)
False 5547
76.0%
True 1750
 
24.0%
2024-03-23T14:37:24.308453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
False
5509 
True
1788 
ValueCountFrequency (%)
False 5509
75.5%
True 1788
 
24.5%
2024-03-23T14:37:24.530420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사진공유수
Real number (ℝ)

MISSING  ZEROS 

Distinct142
Distinct (%)2.8%
Missing2195
Missing (%)30.1%
Infinite0
Infinite (%)0.0%
Mean6.623089
Minimum0
Maximum1263
Zeros3626
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-03-23T14:37:24.847593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile20
Maximum1263
Range1263
Interquartile range (IQR)1

Descriptive statistics

Standard deviation45.076137
Coefficient of variation (CV)6.8059084
Kurtosis318.21833
Mean6.623089
Median Absolute Deviation (MAD)0
Skewness16.000011
Sum33791
Variance2031.8581
MonotonicityNot monotonic
2024-03-23T14:37:25.245515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3626
49.7%
1 302
 
4.1%
2 163
 
2.2%
3 152
 
2.1%
5 118
 
1.6%
4 81
 
1.1%
6 68
 
0.9%
7 54
 
0.7%
10 46
 
0.6%
8 44
 
0.6%
Other values (132) 448
 
6.1%
(Missing) 2195
30.1%
ValueCountFrequency (%)
0 3626
49.7%
1 302
 
4.1%
2 163
 
2.2%
3 152
 
2.1%
4 81
 
1.1%
5 118
 
1.6%
6 68
 
0.9%
7 54
 
0.7%
8 44
 
0.6%
9 33
 
0.5%
ValueCountFrequency (%)
1263 1
< 0.1%
1038 1
< 0.1%
978 1
< 0.1%
859 1
< 0.1%
764 1
< 0.1%
747 1
< 0.1%
710 1
< 0.1%
698 1
< 0.1%
660 1
< 0.1%
586 1
< 0.1%

번체웹사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing4750
Missing (%)65.1%
Memory size14.4 KiB
True
2547 
(Missing)
4750 
ValueCountFrequency (%)
True 2547
34.9%
(Missing) 4750
65.1%
2024-03-23T14:37:25.468899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

말레이어웹사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing6990
Missing (%)95.8%
Memory size14.4 KiB
True
 
307
(Missing)
6990 
ValueCountFrequency (%)
True 307
 
4.2%
(Missing) 6990
95.8%
2024-03-23T14:37:25.608319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
m
2943 
y
2330 
<NA>
1966 
t
 
42
w
 
11

Length

Max length4
Median length1
Mean length1.8082774
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowm
3rd rowy
4th row<NA>
5th rowy

Common Values

ValueCountFrequency (%)
m 2943
40.3%
y 2330
31.9%
<NA> 1966
26.9%
t 42
 
0.6%
w 11
 
0.2%
r 5
 
0.1%

Length

2024-03-23T14:37:25.842947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:26.720785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 2943
40.3%
y 2330
31.9%
na 1966
26.9%
t 42
 
0.6%
w 11
 
0.2%
r 5
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
<NA>
3997 
m
3003 
y
 
292
t
 
4
w
 
1

Length

Max length4
Median length4
Mean length2.6432781
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd rowm
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3997
54.8%
m 3003
41.2%
y 292
 
4.0%
t 4
 
0.1%
w 1
 
< 0.1%

Length

2024-03-23T14:37:26.935581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:27.154267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3997
54.8%
m 3003
41.2%
y 292
 
4.0%
t 4
 
0.1%
w 1
 
< 0.1%

번체공개여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing4750
Missing (%)65.1%
Memory size14.4 KiB
True
2102 
False
 
445
(Missing)
4750 
ValueCountFrequency (%)
True 2102
28.8%
False 445
 
6.1%
(Missing) 4750
65.1%
2024-03-23T14:37:27.454598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

말레이어공개여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.7%
Missing6990
Missing (%)95.8%
Memory size14.4 KiB
True
 
279
False
 
28
(Missing)
6990 
ValueCountFrequency (%)
True 279
 
3.8%
False 28
 
0.4%
(Missing) 6990
95.8%
2024-03-23T14:37:27.664114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

번체모바일사용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing4750
Missing (%)65.1%
Memory size14.4 KiB
True
2546 
False
 
1
(Missing)
4750 
ValueCountFrequency (%)
True 2546
34.9%
False 1
 
< 0.1%
(Missing) 4750
65.1%
2024-03-23T14:37:27.815130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

말어모바일사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing6990
Missing (%)95.8%
Memory size14.4 KiB
True
 
307
(Missing)
6990 
ValueCountFrequency (%)
True 307
 
4.2%
(Missing) 6990
95.8%
2024-03-23T14:37:27.953806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

번체승인일시
Date

MISSING 

Distinct189
Distinct (%)18.5%
Missing6275
Missing (%)86.0%
Memory size57.1 KiB
Minimum2019-02-26 00:00:00
Maximum2024-01-26 00:00:00
2024-03-23T14:37:28.123408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:28.366175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct52
Distinct (%)32.3%
Missing7136
Missing (%)97.8%
Memory size57.1 KiB
Minimum2019-02-13 00:00:00
Maximum2023-10-16 00:00:00
2024-03-23T14:37:28.619192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:28.966664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct347
Distinct (%)13.6%
Missing4750
Missing (%)65.1%
Memory size57.1 KiB
Minimum2019-02-25 00:00:00
Maximum2024-01-26 00:00:00
2024-03-23T14:37:29.261791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:29.551314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct103
Distinct (%)33.6%
Missing6990
Missing (%)95.8%
Memory size57.1 KiB
Minimum2019-02-13 00:00:00
Maximum2023-11-23 00:00:00
2024-03-23T14:37:29.828945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:30.128120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing1966
Missing (%)26.9%
Memory size14.4 KiB
False
3582 
True
1749 
(Missing)
1966 
ValueCountFrequency (%)
False 3582
49.1%
True 1749
24.0%
(Missing) 1966
26.9%
2024-03-23T14:37:30.337777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

말레이어검색어자동여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing3997
Missing (%)54.8%
Memory size14.4 KiB
False
3092 
True
 
208
(Missing)
3997 
ValueCountFrequency (%)
False 3092
42.4%
True 208
 
2.9%
(Missing) 3997
54.8%
2024-03-23T14:37:30.480111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

콘텐츠아이디콘텐츠분류제목언어타이틀연관콘텐츠지번주소도로명주소위도경도탐나오연동여부평점소셜네트워크주소조회수외부검색어좋아요수리뷰수북마크수일정등록수다녀왔어요수웹사용여부모바일사용여부공개여부작성상태사용여부승인일시영문웹사용여부중문웹사용여부일문웹사용여부영문작성상태중문작성상태일문작성상태영문공개여부중문공개여부일문공개여부영문모바일사용여부중문모바일사용여부일문모바일사용여부영문승인일시중문승인일시일문승인일시등록자등록일시수정자수정일시소셜네트워크공유수인기점수트립어드바이저코드우편번호템플릿여부번역요청일시영문번역요청일시중문번역요청일시일문번역요청일시페이지검색어자동여부영문페이지검색어자동여부중문페이지검색어자동여부일문페이지검색어자동여부사진공유수번체웹사용여부말레이어웹사용여부번체작성상태말레이어작성상태번체공개여부말레이어공개여부번체모바일사용여부말어모바일사용여부번체승인일시말레이어승인일시번체번역요청일시말레이어번역요청일시번체검색어자동여부말레이어검색어자동여부
0CNTS_000000000019943음식점웅스키친국문웅스키친<NA>제주특별자치도 제주시 이호2동 116-3제주특별자치도 제주시 대동길 17-133.493074126.46377y5<NA>5636<NA>093600yyyyy2019-10-02 17:34yyymmmyyyyyy<NA><NA><NA>anonymous2016-10-31anonymous2024-03-08011317<NA>63355n2016-10-312016-10-312016-10-312016-10-31ynnn22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1CNTS_200000000009562축제/행사제주 윈터 페스티벌국문제주 윈터 페스티벌<NA><NA><NA><NA><NA>y0<NA>0<NA>00000yynmy<NA><NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>iamsunon2019-12-10iamsunon2019-12-100<NA><NA><NA>n2019-12-10<NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
2CONT_000000000500239관광지법화사지국문법화사지<NA>제주특별자치도 서귀포시 하원동 1071-1제주특별자치도 서귀포시 하원북로35번길 15-2833.265345126.457683y5<NA>6071<NA>232001yyyyy2019-07-12 15:01yyyyyyyyyyyy2019-07-232019-07-232019-07-23anonymous2016-05-30anonymous2024-03-08012163<NA><NA>n2016-05-302016-05-302016-05-302016-05-30nyyy3y<NA>y<NA>y<NA>y<NA><NA><NA>2022-11-25<NA>y<NA>
3CNTS_000000000021945음식점제주기정떡국문제주기정떡<NA>제주특별자치도 제주시 애월읍 광령리 901-4제주특별자치도 제주시 애월읍 평화로 274733.449394126.43736y<NA><NA>3468<NA>201300yyyyy2019-11-04 9:20yyymmmyyyyyy<NA><NA><NA>anonymous2017-05-19anonymous2024-03-0426942<NA>63062n2017-05-192017-05-192017-05-192017-05-19ynnn<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4CNTS_000000000018164숙박펄호텔제주국문펄호텔제주<NA>제주특별자치도 제주시 연동 277-1제주특별자치도 제주시 신대로20길 4933.483475126.491264y<NA><NA>1880<NA>10000yyyyy2019-06-28 10:32yyymymyyyyyy<NA>2019-04-23<NA>anonymous2016-09-29anonymous2024-03-0803763116386563136n2016-09-292016-09-292019-04-232016-09-29ynyn<NA>y<NA>y<NA>y<NA>y<NA>2019-04-23<NA>2019-04-23<NA>y<NA>
5CNTS_000000000019892관광지스쿠버스쿨국문스쿠버스쿨<NA>제주특별자치도 제주시 도두이동 1669-3제주특별자치도 제주시 서해안로 30133.508968126.477676y<NA><NA>9234<NA>403300yyyyy2019-07-12 10:39yyyyyyyyyyyy2019-07-222019-07-222019-07-22anonymous2016-10-28anonymous2024-03-08418480<NA><NA>n2016-10-282016-10-282016-10-282016-10-28yyyy<NA>y<NA>y<NA>y<NA>y<NA>2019-07-22<NA>2019-07-22<NA>y<NA>
6CNTS_300000000012734축제/행사2023 뒷개백중맞이국문2023 뒷개백중맞이<NA>제주특별자치도 제주시 조천읍 북촌리 1371제주특별자치도 제주시 조천읍 북촌7길 2733.550337126.693091y0https://www.instagram.com/hands_ofpeople/101<NA>00000yyyyy2023-08-25 18:05<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>99000222023-08-2399000222024-02-170202<NA><NA>n2023-08-23<NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7CNTS_000000000022147음식점곽지식당국문곽지식당<NA>제주특별자치도 제주시 애월읍 곽지리 1575-3제주특별자치도 제주시 애월읍 곽지3길 2733.449352126.30442y<NA><NA>3337<NA>00100yyyyy2019-10-04 16:10yyyyyyyynyyy2019-10-042019-10-04<NA>anonymous2017-07-12anonymous2024-03-0806674902731663034n2017-07-122017-07-122017-07-122017-07-12yyyn<NA>y<NA>y<NA>y<NA>y<NA>2019-10-04<NA>2019-10-04<NA>y<NA>
8CONT_000000000500857숙박로즈비치국문로즈비치<NA>제주특별자치도 제주시 조천읍 신흥리 874제주특별자치도 제주시 조천읍 조함해안로 16233.544777126.650164y<NA><NA>2548<NA>00000yyyyy2019-11-22 15:04yyyyyyyyyyyy2019-11-222019-11-222019-11-22anonymous2016-05-30anonymous2024-03-0705096<NA><NA>n2016-05-302016-05-302016-05-302016-05-30yyyy<NA>y<NA>y<NA>y<NA>y<NA><NA><NA>2022-12-02<NA>y<NA>
9CNTS_000000000021907축제/행사방선문축제국문방선문 축제<NA>제주특별자치도 제주시 오라2동 3819-11제주시 오라동 방선문계곡33.464767126.51687y<NA><NA>9853<NA>10200yyyyy2019-04-24 13:25yyyyyynnnyyy2019-04-242019-04-242019-04-24anonymous2017-04-27anonymous2024-03-07719709<NA><NA>n2017-04-272019-04-242019-04-242019-04-24nnnn<NA>y<NA>y<NA>n<NA>y<NA>2019-04-24<NA>2019-04-24<NA>n<NA>
콘텐츠아이디콘텐츠분류제목언어타이틀연관콘텐츠지번주소도로명주소위도경도탐나오연동여부평점소셜네트워크주소조회수외부검색어좋아요수리뷰수북마크수일정등록수다녀왔어요수웹사용여부모바일사용여부공개여부작성상태사용여부승인일시영문웹사용여부중문웹사용여부일문웹사용여부영문작성상태중문작성상태일문작성상태영문공개여부중문공개여부일문공개여부영문모바일사용여부중문모바일사용여부일문모바일사용여부영문승인일시중문승인일시일문승인일시등록자등록일시수정자수정일시소셜네트워크공유수인기점수트립어드바이저코드우편번호템플릿여부번역요청일시영문번역요청일시중문번역요청일시일문번역요청일시페이지검색어자동여부영문페이지검색어자동여부중문페이지검색어자동여부일문페이지검색어자동여부사진공유수번체웹사용여부말레이어웹사용여부번체작성상태말레이어작성상태번체공개여부말레이어공개여부번체모바일사용여부말어모바일사용여부번체승인일시말레이어승인일시번체번역요청일시말레이어번역요청일시번체검색어자동여부말레이어검색어자동여부
7287CNTS_300000000012725관광지해피애견놀이방국문해피애견놀이방<NA>제주특별자치도 제주시 오라삼동 2238-5제주특별자치도 제주시 오라로1길 20-933.498056126.507946y0<NA>112<NA>00000yyyyy2023-08-29 16:29<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>olaolab002023-08-22olaolab002024-03-080224<NA><NA>n2023-08-22<NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7288CNTS_300000000012904테마여행수영에서 골프까지 제주에서 즐기는 스포츠! <오성급방학, JEJU 스포츠케이션>국문수영에서 골프까지 제주에서 즐기는 스포츠! <오성급방학, JEJU 스포츠케이션><NA><NA><NA><NA><NA>y0<NA>428<NA>10000yyyyy2024-01-10 10:48<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>2300026lsm2023-12-282300026lsm2024-03-070859<NA><NA>n2023-12-28<NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7289CNTS_300000000012948관광지무지개요트국문무지개요트<NA>제주특별자치도 제주시 도두일동 2605-1 도두항길 28-8제주특별자치도 제주시 도두항길 28-8 (도두일동) 도두항길 28-833.506431126.466705y0<NA>59<NA>00000yyyyy2024-02-01 11:43<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>anonymous2024-01-26anonymous2024-03-080118<NA>63112n<NA><NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7290CNTS_300000000012959숙박신신호텔 천지연국문신신호텔 천지연<NA>제주특별자치도 서귀포시 서귀동 325-1 신신호텔 천지연제주특별자치도 서귀포시 서문로 42-1 (서귀동) 신신호텔 천지연33.249515126.557616y0<NA>46<NA>00000yyyyy2024-02-07 13:54<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>anonymous2024-02-06anonymous2024-03-08092<NA>63593n<NA><NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7291CNTS_300000000012956숙박신신호텔 제주오션국문신신호텔 제주오션<NA>제주특별자치도 서귀포시 서귀동 295-22 신신호텔 제주오션제주특별자치도 서귀포시 중앙로 55 (서귀동) 신신호텔 제주오션<NA><NA>y0<NA>34<NA>00000yyyyy2024-02-07 13:55<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>anonymous2024-02-06anonymous2024-03-08068<NA>63592n<NA><NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7292CNTS_300000000012958숙박신신호텔 제주월드컵국문신신호텔 제주월드컵<NA>제주특별자치도 서귀포시 서호동 1524-7 신신호텔 제주월드컵제주특별자치도 서귀포시 서호중로 55 (서호동) 신신호텔 제주월드컵33.25456126.51923y0<NA>25<NA>00000yyyyy2024-02-07 13:55<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>anonymous2024-02-06anonymous2024-03-08050<NA>63568n<NA><NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7293CNTS_300000000012945쇼핑곶밭마켓&스튜디오국문곶밭마켓&스튜디오<NA>제주특별자치도 서귀포시 상예동 3713-1 적벽돌 2층 건물제주특별자치도 서귀포시 일주서로 1262 (상예동) 적벽돌 2층 건물33.264671126.378528y0<NA>38<NA>00000yyyyy2024-01-29 11:14<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>anonymous2024-01-26anonymous2024-03-07076<NA>63534n<NA><NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7294CNTS_300000000012946관광지제주홀릭뮤지엄국문제주홀릭뮤지엄<NA>제주특별자치도 제주시 애월읍 광령리 100-3 제주홀릭뮤지엄제주특별자치도 제주시 애월읍 평화로 2835 (광령리) 제주홀릭뮤지엄33.403414126.450887y0<NA>114<NA>00100yyyyy2024-01-30 13:31<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>anonymous2024-01-26anonymous2024-03-080228<NA>63062n<NA><NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7295CNTS_300000000012955숙박신신호텔 서귀포국문신신호텔 서귀포<NA>제주특별자치도 서귀포시 서귀동 486-1 신신호텔 서귀포제주특별자치도 서귀포시 태평로371번길 18 (서귀동, 제주 서귀포 일성 트루엘) 신신호텔 서귀포<NA><NA>y0<NA>42<NA>00000yyyyy2024-02-07 13:55<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>anonymous2024-02-06anonymous2024-03-08084<NA>63595n<NA><NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn
7296CNTS_300000000012936음식점쿡지니어국문쿡지니어<NA>제주특별자치도 제주시 구좌읍 송당리 898-7제주특별자치도 제주시 구좌읍 송당5길 4433.475318126.784948y0<NA>13<NA>00000yyyyy2024-01-24 13:48<NA><NA><NA>mmm<NA><NA><NA><NA><NA><NA><NA><NA><NA>yjson.marin2024-01-15yjson.marin2024-02-27026<NA><NA>n2024-01-15<NA><NA><NA>ynnn0<NA><NA>mm<NA><NA><NA><NA><NA><NA><NA><NA>nn