Overview

Dataset statistics

Number of variables26
Number of observations638
Missing cells690
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.6 KiB
Average record size in memory211.2 B

Variable types

Text13
Categorical9
Numeric3
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15013112/standard.do

Alerts

운영시작시각(하절기) is highly imbalanced (58.8%)Imbalance
운영종료시각(하절기) is highly imbalanced (53.9%)Imbalance
운영시작시각(동절기) is highly imbalanced (57.4%)Imbalance
안내가능외국어 is highly imbalanced (78.2%)Imbalance
안내소소개 has 65 (10.2%) missing valuesMissing
부가서비스정보 has 340 (53.3%) missing valuesMissing
평균근무인원수 has 20 (3.1%) missing valuesMissing
소재지도로명주소 has 45 (7.1%) missing valuesMissing
소재지지번주소 has 43 (6.7%) missing valuesMissing
홈페이지주소 has 177 (27.7%) missing valuesMissing

Reproduction

Analysis started2024-05-11 07:50:31.952221
Analysis finished2024-05-11 07:50:34.747006
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광안내소명
Text

Distinct534
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:50:35.219548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length9.338558
Min length2

Characters and Unicode

Total characters5958
Distinct characters358
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique445 ?
Unique (%)69.7%

Sample

1st row삼척시종합관광안내소
2nd row횡성군관광안내소
3rd row두물머리 관광안내소
4th row드라마세트장관광안내소
5th row간현관광지 관광안내소
ValueCountFrequency (%)
관광안내소 192
 
19.8%
종합관광안내소 19
 
2.0%
안내소 13
 
1.3%
관광안내센터 8
 
0.8%
종합안내소 8
 
0.8%
터미널관광안내소 7
 
0.7%
탐방안내소 7
 
0.7%
완주 6
 
0.6%
횡성군관광안내소 6
 
0.6%
터미널 5
 
0.5%
Other values (580) 698
72.0%
2024-05-11T16:50:36.020229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 537
 
9.0%
내 528
 
8.9%
관 521
 
8.7%
소 506
 
8.5%
광 504
 
8.5%
331
 
5.6%
터 97
 
1.6%
합 72
 
1.2%
종 71
 
1.2%
산 67
 
1.1%
Other values (348) 2724
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5537
92.9%
Space Separator 331
 
5.6%
Close Punctuation 34
 
0.6%
Open Punctuation 34
 
0.6%
Uppercase Letter 13
 
0.2%
Decimal Number 7
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 537
 
9.7%
내 528
 
9.5%
관 521
 
9.4%
소 506
 
9.1%
광 504
 
9.1%
터 97
 
1.8%
합 72
 
1.3%
종 71
 
1.3%
산 67
 
1.2%
역 62
 
1.1%
Other values (332) 2572
46.5%
Uppercase Letter
ValueCountFrequency (%)
Z 2
15.4%
M 2
15.4%
D 2
15.4%
C 2
15.4%
T 1
7.7%
O 1
7.7%
E 1
7.7%
R 1
7.7%
S 1
7.7%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
0 1
 
14.3%
Space Separator
ValueCountFrequency (%)
331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5537
92.9%
Common 408
 
6.8%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 537
 
9.7%
내 528
 
9.5%
관 521
 
9.4%
소 506
 
9.1%
광 504
 
9.1%
터 97
 
1.8%
합 72
 
1.3%
종 71
 
1.3%
산 67
 
1.2%
역 62
 
1.1%
Other values (332) 2572
46.5%
Latin
ValueCountFrequency (%)
Z 2
15.4%
M 2
15.4%
D 2
15.4%
C 2
15.4%
T 1
7.7%
O 1
7.7%
E 1
7.7%
R 1
7.7%
S 1
7.7%
Common
ValueCountFrequency (%)
331
81.1%
) 34
 
8.3%
( 34
 
8.3%
2 4
 
1.0%
: 2
 
0.5%
1 2
 
0.5%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5536
92.9%
ASCII 421
 
7.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 537
 
9.7%
내 528
 
9.5%
관 521
 
9.4%
소 506
 
9.1%
광 504
 
9.1%
터 97
 
1.8%
합 72
 
1.3%
종 71
 
1.3%
산 67
 
1.2%
역 62
 
1.1%
Other values (331) 2571
46.4%
ASCII
ValueCountFrequency (%)
331
78.6%
) 34
 
8.1%
( 34
 
8.1%
2 4
 
1.0%
: 2
 
0.5%
1 2
 
0.5%
Z 2
 
0.5%
M 2
 
0.5%
D 2
 
0.5%
C 2
 
0.5%
Other values (6) 6
 
1.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

안내소위치명
Text

Distinct551
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:50:36.512027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length87
Mean length11.920063
Min length2

Characters and Unicode

Total characters7605
Distinct characters433
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)72.7%

Sample

1st row삼척 고속버스터미널 옆
2nd row횡성호수길
3rd row두물머리
4th row경기도 오산시 북삼미로40
5th row소금산 출렁다리 운동장입구
ValueCountFrequency (%)
내 77
 
4.3%
입구 64
 
3.6%
앞 50
 
2.8%
후 49
 
2.7%
옆 44
 
2.5%
주차장 28
 
1.6%
정문 25
 
1.4%
1층 25
 
1.4%
방향으로 22
 
1.2%
광장 18
 
1.0%
Other values (884) 1384
77.5%
2024-05-11T16:50:37.362756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1155
 
15.2%
장 178
 
2.3%
내 145
 
1.9%
구 144
 
1.9%
로 113
 
1.5%
입 102
 
1.3%
역 93
 
1.2%
주 92
 
1.2%
터 91
 
1.2%
관 90
 
1.2%
Other values (423) 5402
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5940
78.1%
Space Separator 1155
 
15.2%
Decimal Number 311
 
4.1%
Lowercase Letter 69
 
0.9%
Close Punctuation 34
 
0.4%
Open Punctuation 32
 
0.4%
Other Punctuation 28
 
0.4%
Uppercase Letter 28
 
0.4%
Dash Punctuation 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 178
 
3.0%
내 145
 
2.4%
구 144
 
2.4%
로 113
 
1.9%
입 102
 
1.7%
역 93
 
1.6%
주 92
 
1.5%
터 91
 
1.5%
관 90
 
1.5%
공 88
 
1.5%
Other values (389) 4804
80.9%
Uppercase Letter
ValueCountFrequency (%)
T 6
21.4%
I 5
17.9%
C 5
17.9%
X 2
 
7.1%
D 2
 
7.1%
K 2
 
7.1%
E 1
 
3.6%
R 1
 
3.6%
S 1
 
3.6%
P 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 66
21.2%
1 64
20.6%
5 36
11.6%
3 34
10.9%
4 29
9.3%
0 24
 
7.7%
7 17
 
5.5%
6 17
 
5.5%
9 15
 
4.8%
8 9
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 20
71.4%
, 6
 
21.4%
: 2
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
m 50
72.5%
k 19
 
27.5%
Close Punctuation
ValueCountFrequency (%)
) 33
97.1%
] 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 31
96.9%
[ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
1155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5939
78.1%
Common 1568
 
20.6%
Latin 97
 
1.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 178
 
3.0%
내 145
 
2.4%
구 144
 
2.4%
로 113
 
1.9%
입 102
 
1.7%
역 93
 
1.6%
주 92
 
1.5%
터 91
 
1.5%
관 90
 
1.5%
공 88
 
1.5%
Other values (388) 4803
80.9%
Common
ValueCountFrequency (%)
1155
73.7%
2 66
 
4.2%
1 64
 
4.1%
5 36
 
2.3%
3 34
 
2.2%
) 33
 
2.1%
( 31
 
2.0%
4 29
 
1.8%
0 24
 
1.5%
. 20
 
1.3%
Other values (10) 76
 
4.8%
Latin
ValueCountFrequency (%)
m 50
51.5%
k 19
 
19.6%
T 6
 
6.2%
I 5
 
5.2%
C 5
 
5.2%
X 2
 
2.1%
D 2
 
2.1%
K 2
 
2.1%
E 1
 
1.0%
R 1
 
1.0%
Other values (4) 4
 
4.1%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5938
78.1%
ASCII 1665
 
21.9%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1155
69.4%
2 66
 
4.0%
1 64
 
3.8%
m 50
 
3.0%
5 36
 
2.2%
3 34
 
2.0%
) 33
 
2.0%
( 31
 
1.9%
4 29
 
1.7%
0 24
 
1.4%
Other values (24) 143
 
8.6%
Hangul
ValueCountFrequency (%)
장 178
 
3.0%
내 145
 
2.4%
구 144
 
2.4%
로 113
 
1.9%
입 102
 
1.7%
역 93
 
1.6%
주 92
 
1.5%
터 91
 
1.5%
관 90
 
1.5%
공 88
 
1.5%
Other values (387) 4802
80.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

시도명
Categorical

Distinct18
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
경상남도
81 
전라북도
69 
전라남도
68 
경기도
65 
경상북도
55 
Other values (13)
300 

Length

Max length7
Median length4
Mean length4.3510972
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도
2nd row강원도
3rd row경기도
4th row경기도
5th row강원도

Common Values

ValueCountFrequency (%)
경상남도 81
12.7%
전라북도 69
10.8%
전라남도 68
10.7%
경기도 65
10.2%
경상북도 55
8.6%
강원도 52
8.2%
강원특별자치도 34
 
5.3%
전북특별자치도 31
 
4.9%
충청남도 30
 
4.7%
인천광역시 28
 
4.4%
Other values (8) 125
19.6%

Length

2024-05-11T16:50:37.764615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 81
12.7%
전라북도 69
10.8%
전라남도 68
10.7%
경기도 65
10.2%
경상북도 55
8.6%
강원도 52
8.2%
강원특별자치도 34
 
5.3%
전북특별자치도 31
 
4.9%
충청남도 30
 
4.7%
인천광역시 28
 
4.4%
Other values (8) 125
19.6%

시군구명
Text

Distinct158
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:50:38.566206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9655172
Min length2

Characters and Unicode

Total characters1892
Distinct characters114
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)7.1%

Sample

1st row삼척시
2nd row횡성군
3rd row양평군
4th row오산시
5th row원주시
ValueCountFrequency (%)
중구 28
 
4.4%
장수군 18
 
2.8%
여수시 15
 
2.4%
고창군 14
 
2.2%
전주시 14
 
2.2%
동구 14
 
2.2%
제천시 13
 
2.0%
동해시 13
 
2.0%
군산시 12
 
1.9%
통영시 11
 
1.7%
Other values (148) 486
76.2%
2024-05-11T16:50:39.618607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 313
 
16.5%
군 238
 
12.6%
구 105
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 49
 
2.6%
산 46
 
2.4%
창 44
 
2.3%
동 44
 
2.3%
양 39
 
2.1%
Other values (104) 872
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1892
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 313
 
16.5%
군 238
 
12.6%
구 105
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 49
 
2.6%
산 46
 
2.4%
창 44
 
2.3%
동 44
 
2.3%
양 39
 
2.1%
Other values (104) 872
46.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1892
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 313
 
16.5%
군 238
 
12.6%
구 105
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 49
 
2.6%
산 46
 
2.4%
창 44
 
2.3%
동 44
 
2.3%
양 39
 
2.1%
Other values (104) 872
46.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1892
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 313
 
16.5%
군 238
 
12.6%
구 105
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 49
 
2.6%
산 46
 
2.4%
창 44
 
2.3%
동 44
 
2.3%
양 39
 
2.1%
Other values (104) 872
46.1%

안내소소개
Text

MISSING 

Distinct302
Distinct (%)52.7%
Missing65
Missing (%)10.2%
Memory size5.1 KiB
2024-05-11T16:50:40.172538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length295
Median length106
Mean length27.972077
Min length5

Characters and Unicode

Total characters16028
Distinct characters459
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)36.6%

Sample

1st row삼척시 관광 정보 제공
2nd row횡성관내 관광코스 안내
3rd row두물머리 주변 관광안내 및 양평군 종합관광안내
4th row오산시 내삼미동 TvN 아스달 연대기, SBS 더킹 : 영원의 군주 드라마세트장 조성에 따른방문 관광객을 위한 관광안내소 운영
5th row원주시 관광과 관련된 정보 및 팜플렛 등을 제공합니다.
ValueCountFrequency (%)
및 176
 
4.7%
안내 157
 
4.2%
제공 110
 
2.9%
관광안내 69
 
1.8%
관광 68
 
1.8%
관광지 63
 
1.7%
제공합니다 63
 
1.7%
대한 60
 
1.6%
등 60
 
1.6%
정보 50
 
1.3%
Other values (1131) 2860
76.6%
2024-05-11T16:50:41.274699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3165
 
19.7%
관 773
 
4.8%
광 696
 
4.3%
내 512
 
3.2%
안 457
 
2.9%
보 272
 
1.7%
공 255
 
1.6%
정 254
 
1.6%
제 253
 
1.6%
, 242
 
1.5%
Other values (449) 9149
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12261
76.5%
Space Separator 3165
 
19.7%
Other Punctuation 368
 
2.3%
Math Symbol 63
 
0.4%
Decimal Number 59
 
0.4%
Open Punctuation 49
 
0.3%
Close Punctuation 49
 
0.3%
Final Punctuation 6
 
< 0.1%
Uppercase Letter 5
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 773
 
6.3%
광 696
 
5.7%
내 512
 
4.2%
안 457
 
3.7%
보 272
 
2.2%
공 255
 
2.1%
정 254
 
2.1%
제 253
 
2.1%
시 230
 
1.9%
소 216
 
1.8%
Other values (423) 8343
68.0%
Decimal Number
ValueCountFrequency (%)
1 19
32.2%
0 15
25.4%
2 12
20.3%
6 3
 
5.1%
7 3
 
5.1%
8 2
 
3.4%
4 2
 
3.4%
9 2
 
3.4%
3 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 242
65.8%
. 101
27.4%
/ 9
 
2.4%
· 9
 
2.4%
: 7
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
B 1
20.0%
N 1
20.0%
T 1
20.0%
Math Symbol
ValueCountFrequency (%)
+ 57
90.5%
~ 6
 
9.5%
Space Separator
ValueCountFrequency (%)
3165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
v 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12259
76.5%
Common 3761
 
23.5%
Latin 7
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 773
 
6.3%
광 696
 
5.7%
내 512
 
4.2%
안 457
 
3.7%
보 272
 
2.2%
공 255
 
2.1%
정 254
 
2.1%
제 253
 
2.1%
시 230
 
1.9%
소 216
 
1.8%
Other values (421) 8341
68.0%
Common
ValueCountFrequency (%)
3165
84.2%
, 242
 
6.4%
. 101
 
2.7%
+ 57
 
1.5%
( 49
 
1.3%
) 49
 
1.3%
1 19
 
0.5%
0 15
 
0.4%
2 12
 
0.3%
/ 9
 
0.2%
Other values (11) 43
 
1.1%
Latin
ValueCountFrequency (%)
S 2
28.6%
B 1
14.3%
N 1
14.3%
v 1
14.3%
T 1
14.3%
º 1
14.3%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12253
76.4%
ASCII 3752
 
23.4%
None 10
 
0.1%
Punctuation 6
 
< 0.1%
Compat Jamo 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3165
84.4%
, 242
 
6.4%
. 101
 
2.7%
+ 57
 
1.5%
( 49
 
1.3%
) 49
 
1.3%
1 19
 
0.5%
0 15
 
0.4%
2 12
 
0.3%
/ 9
 
0.2%
Other values (14) 34
 
0.9%
Hangul
ValueCountFrequency (%)
관 773
 
6.3%
광 696
 
5.7%
내 512
 
4.2%
안 457
 
3.7%
보 272
 
2.2%
공 255
 
2.1%
정 254
 
2.1%
제 253
 
2.1%
시 230
 
1.9%
소 216
 
1.8%
Other values (420) 8335
68.0%
None
ValueCountFrequency (%)
· 9
90.0%
º 1
 
10.0%
Punctuation
ValueCountFrequency (%)
’ 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

부가서비스정보
Text

MISSING 

Distinct118
Distinct (%)39.6%
Missing340
Missing (%)53.3%
Memory size5.1 KiB
2024-05-11T16:50:41.720364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length59
Mean length13.114094
Min length1

Characters and Unicode

Total characters3908
Distinct characters222
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)21.5%

Sample

1st row호수길 설명 등
2nd row소규모 체험운영
3rd row관내 관광명소 및 식당 안내
4th row건강진단기기+심장제세동기 구비
5th row문화관광해설
ValueCountFrequency (%)
및 33
 
5.1%
대여 23
 
3.6%
비치 17
 
2.6%
배부 17
 
2.6%
제공 17
 
2.6%
운영 14
 
2.2%
인터넷 14
 
2.2%
없음 14
 
2.2%
안내 13
 
2.0%
휠체어 13
 
2.0%
Other values (193) 471
72.9%
2024-05-11T16:50:42.573135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
8.9%
+ 270
 
6.9%
관 140
 
3.6%
전 127
 
3.2%
보 126
 
3.2%
대 93
 
2.4%
광 89
 
2.3%
충 85
 
2.2%
안 72
 
1.8%
체 69
 
1.8%
Other values (212) 2489
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3204
82.0%
Space Separator 348
 
8.9%
Math Symbol 270
 
6.9%
Close Punctuation 25
 
0.6%
Open Punctuation 25
 
0.6%
Uppercase Letter 15
 
0.4%
Other Punctuation 13
 
0.3%
Lowercase Letter 6
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 140
 
4.4%
전 127
 
4.0%
보 126
 
3.9%
대 93
 
2.9%
광 89
 
2.8%
충 85
 
2.7%
안 72
 
2.2%
체 69
 
2.2%
물 66
 
2.1%
어 65
 
2.0%
Other values (190) 2272
70.9%
Uppercase Letter
ValueCountFrequency (%)
I 3
20.0%
V 2
13.3%
D 2
13.3%
P 2
13.3%
C 2
13.3%
R 1
 
6.7%
T 1
 
6.7%
W 1
 
6.7%
F 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
33.3%
f 1
16.7%
w 1
16.7%
c 1
16.7%
p 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 9
69.2%
/ 2
 
15.4%
· 2
 
15.4%
Space Separator
ValueCountFrequency (%)
348
100.0%
Math Symbol
ValueCountFrequency (%)
+ 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3204
82.0%
Common 683
 
17.5%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 140
 
4.4%
전 127
 
4.0%
보 126
 
3.9%
대 93
 
2.9%
광 89
 
2.8%
충 85
 
2.7%
안 72
 
2.2%
체 69
 
2.2%
물 66
 
2.1%
어 65
 
2.0%
Other values (190) 2272
70.9%
Latin
ValueCountFrequency (%)
I 3
14.3%
V 2
9.5%
D 2
9.5%
i 2
9.5%
P 2
9.5%
C 2
9.5%
f 1
 
4.8%
w 1
 
4.8%
R 1
 
4.8%
T 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
348
51.0%
+ 270
39.5%
) 25
 
3.7%
( 25
 
3.7%
, 9
 
1.3%
/ 2
 
0.3%
· 2
 
0.3%
- 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3204
82.0%
ASCII 702
 
18.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
49.6%
+ 270
38.5%
) 25
 
3.6%
( 25
 
3.6%
, 9
 
1.3%
I 3
 
0.4%
V 2
 
0.3%
D 2
 
0.3%
/ 2
 
0.3%
i 2
 
0.3%
Other values (11) 14
 
2.0%
Hangul
ValueCountFrequency (%)
관 140
 
4.4%
전 127
 
4.0%
보 126
 
3.9%
대 93
 
2.9%
광 89
 
2.8%
충 85
 
2.7%
안 72
 
2.2%
체 69
 
2.2%
물 66
 
2.1%
어 65
 
2.0%
Other values (190) 2272
70.9%
None
ValueCountFrequency (%)
· 2
100.0%

휴무일
Text

Distinct119
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:50:42.982735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length8.2946708
Min length1

Characters and Unicode

Total characters5292
Distinct characters125
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)8.3%

Sample

1st row월10회(평일 중)
2nd row화+금
3rd row연중무휴(명절당일만 휴무)
4th row월요일+설연휴+추석연휴+1월+2월+7월+8월+12월
5th row연중무휴
ValueCountFrequency (%)
연중무휴 244
20.2%
당일 94
 
7.8%
당일+추석 55
 
4.5%
추석 47
 
3.9%
설 44
 
3.6%
1월 40
 
3.3%
설날 37
 
3.1%
연휴 33
 
2.7%
1일+설 32
 
2.6%
월요일 31
 
2.6%
Other values (137) 552
45.7%
2024-05-11T16:50:43.715017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
611
 
11.5%
일 425
 
8.0%
휴 420
 
7.9%
+ 411
 
7.8%
연 348
 
6.6%
무 280
 
5.3%
중 252
 
4.8%
설 228
 
4.3%
추 227
 
4.3%
석 227
 
4.3%
Other values (115) 1863
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3933
74.3%
Space Separator 611
 
11.5%
Math Symbol 418
 
7.9%
Decimal Number 161
 
3.0%
Other Punctuation 82
 
1.5%
Close Punctuation 43
 
0.8%
Open Punctuation 43
 
0.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 425
 
10.8%
휴 420
 
10.7%
연 348
 
8.8%
무 280
 
7.1%
중 252
 
6.4%
설 228
 
5.8%
추 227
 
5.8%
석 227
 
5.8%
당 220
 
5.6%
월 182
 
4.6%
Other values (94) 1124
28.6%
Decimal Number
ValueCountFrequency (%)
1 126
78.3%
2 12
 
7.5%
0 10
 
6.2%
9 5
 
3.1%
8 2
 
1.2%
7 2
 
1.2%
3 2
 
1.2%
6 1
 
0.6%
4 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 71
86.6%
· 3
 
3.7%
: 2
 
2.4%
/ 2
 
2.4%
* 2
 
2.4%
. 2
 
2.4%
Math Symbol
ValueCountFrequency (%)
+ 411
98.3%
~ 7
 
1.7%
Space Separator
ValueCountFrequency (%)
611
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3933
74.3%
Common 1359
 
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 425
 
10.8%
휴 420
 
10.7%
연 348
 
8.8%
무 280
 
7.1%
중 252
 
6.4%
설 228
 
5.8%
추 227
 
5.8%
석 227
 
5.8%
당 220
 
5.6%
월 182
 
4.6%
Other values (94) 1124
28.6%
Common
ValueCountFrequency (%)
611
45.0%
+ 411
30.2%
1 126
 
9.3%
, 71
 
5.2%
) 43
 
3.2%
( 43
 
3.2%
2 12
 
0.9%
0 10
 
0.7%
~ 7
 
0.5%
9 5
 
0.4%
Other values (11) 20
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3933
74.3%
ASCII 1356
 
25.6%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
611
45.1%
+ 411
30.3%
1 126
 
9.3%
, 71
 
5.2%
) 43
 
3.2%
( 43
 
3.2%
2 12
 
0.9%
0 10
 
0.7%
~ 7
 
0.5%
9 5
 
0.4%
Other values (10) 17
 
1.3%
Hangul
ValueCountFrequency (%)
일 425
 
10.8%
휴 420
 
10.7%
연 348
 
8.8%
무 280
 
7.1%
중 252
 
6.4%
설 228
 
5.8%
추 227
 
5.8%
석 227
 
5.8%
당 220
 
5.6%
월 182
 
4.6%
Other values (94) 1124
28.6%
None
ValueCountFrequency (%)
· 3
100.0%

운영시작시각(하절기)
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
09:00
326 
10:00
268 
09:30
 
15
11:00
 
9
14:00
 
5
Other values (7)
 
15

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row10:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 326
51.1%
10:00 268
42.0%
09:30 15
 
2.4%
11:00 9
 
1.4%
14:00 5
 
0.8%
08:00 4
 
0.6%
07:00 3
 
0.5%
08:30 3
 
0.5%
10:30 2
 
0.3%
08:20 1
 
0.2%
Other values (2) 2
 
0.3%

Length

2024-05-11T16:50:44.047678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 326
51.1%
10:00 268
42.0%
09:30 15
 
2.4%
11:00 9
 
1.4%
14:00 5
 
0.8%
08:00 4
 
0.6%
07:00 3
 
0.5%
08:30 3
 
0.5%
10:30 2
 
0.3%
08:20 1
 
0.2%
Other values (2) 2
 
0.3%

운영종료시각(하절기)
Categorical

IMBALANCE 

Distinct16
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
18:00
311 
17:00
241 
19:00
 
24
16:00
 
14
17:30
 
13
Other values (11)
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)0.8%

Sample

1st row18:00
2nd row16:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 311
48.7%
17:00 241
37.8%
19:00 24
 
3.8%
16:00 14
 
2.2%
17:30 13
 
2.0%
22:00 9
 
1.4%
11:00 8
 
1.3%
21:00 4
 
0.6%
15:00 3
 
0.5%
15:30 3
 
0.5%
Other values (6) 8
 
1.3%

Length

2024-05-11T16:50:44.290569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 311
48.7%
17:00 241
37.8%
19:00 24
 
3.8%
16:00 14
 
2.2%
17:30 13
 
2.0%
22:00 9
 
1.4%
11:00 8
 
1.3%
21:00 4
 
0.6%
15:00 3
 
0.5%
15:30 3
 
0.5%
Other values (6) 8
 
1.3%

운영시작시각(동절기)
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
09:00
306 
10:00
284 
09:30
 
11
00:00
 
10
11:00
 
9
Other values (7)
 
18

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row10:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 306
48.0%
10:00 284
44.5%
09:30 11
 
1.7%
00:00 10
 
1.6%
11:00 9
 
1.4%
14:00 5
 
0.8%
08:00 4
 
0.6%
07:00 3
 
0.5%
08:30 3
 
0.5%
08:20 1
 
0.2%
Other values (2) 2
 
0.3%

Length

2024-05-11T16:50:44.530727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 306
48.0%
10:00 284
44.5%
09:30 11
 
1.7%
00:00 10
 
1.6%
11:00 9
 
1.4%
14:00 5
 
0.8%
08:00 4
 
0.6%
07:00 3
 
0.5%
08:30 3
 
0.5%
08:20 1
 
0.2%
Other values (2) 2
 
0.3%

운영종료시각(동절기)
Categorical

Distinct16
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
18:00
271 
17:00
229 
16:00
40 
19:00
 
21
16:30
 
17
Other values (11)
60 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row18:00
2nd row16:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 271
42.5%
17:00 229
35.9%
16:00 40
 
6.3%
19:00 21
 
3.3%
16:30 17
 
2.7%
17:30 17
 
2.7%
00:00 10
 
1.6%
11:00 8
 
1.3%
21:00 6
 
0.9%
22:00 6
 
0.9%
Other values (6) 13
 
2.0%

Length

2024-05-11T16:50:44.789944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 271
42.5%
17:00 229
35.9%
16:00 40
 
6.3%
19:00 21
 
3.3%
16:30 17
 
2.7%
17:30 17
 
2.7%
00:00 10
 
1.6%
11:00 8
 
1.3%
21:00 6
 
0.9%
22:00 6
 
0.9%
Other values (6) 13
 
2.0%

평균근무인원수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)2.1%
Missing20
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.9126214
Minimum0
Maximum23
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-05-11T16:50:45.005215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7140763
Coefficient of variation (CV)0.89619219
Kurtosis75.43248
Mean1.9126214
Median Absolute Deviation (MAD)1
Skewness6.9767617
Sum1182
Variance2.9380576
MonotonicityNot monotonic
2024-05-11T16:50:45.216972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.0 284
44.5%
2.0 222
34.8%
3.0 64
 
10.0%
4.0 13
 
2.0%
5.0 11
 
1.7%
6.0 8
 
1.3%
0.0 5
 
0.8%
7.0 3
 
0.5%
10.0 2
 
0.3%
1.5 2
 
0.3%
Other values (3) 4
 
0.6%
(Missing) 20
 
3.1%
ValueCountFrequency (%)
0.0 5
 
0.8%
1.0 284
44.5%
1.5 2
 
0.3%
2.0 222
34.8%
3.0 64
 
10.0%
4.0 13
 
2.0%
5.0 11
 
1.7%
6.0 8
 
1.3%
7.0 3
 
0.5%
8.0 1
 
0.2%
ValueCountFrequency (%)
23.0 2
 
0.3%
10.0 2
 
0.3%
9.0 1
 
0.2%
8.0 1
 
0.2%
7.0 3
 
0.5%
6.0 8
 
1.3%
5.0 11
 
1.7%
4.0 13
 
2.0%
3.0 64
 
10.0%
2.0 222
34.8%

영어안내가능여부
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Y
294 
N
281 
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowY
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
Y 294
46.1%
N 281
44.0%
63
 
9.9%

Length

2024-05-11T16:50:45.450141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:50:45.686840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 294
51.1%
n 281
48.9%

일본어안내가능여부
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
N
325 
Y
257 
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowY
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 325
50.9%
Y 257
40.3%
56
 
8.8%

Length

2024-05-11T16:50:46.060268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:50:46.276934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 325
55.8%
y 257
44.2%

중국어안내가능여부
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
N
325 
Y
250 
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowY

Common Values

ValueCountFrequency (%)
N 325
50.9%
Y 250
39.2%
63
 
9.9%

Length

2024-05-11T16:50:46.535911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:50:46.752027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 325
56.5%
y 250
43.5%

안내가능외국어
Categorical

IMBALANCE 

Distinct23
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
560 
없음
 
19
러시아어
 
12
N
 
8
무
 
6
Other values (18)
 
33

Length

Max length15
Median length4
Mean length3.9811912
Min length1

Unique

Unique12 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 560
87.8%
없음 19
 
3.0%
러시아어 12
 
1.9%
N 8
 
1.3%
무 6
 
0.9%
3 6
 
0.9%
수화(예약필요) 5
 
0.8%
영어+중국어+러시아어+일본어 4
 
0.6%
X 2
 
0.3%
영어,일어,중국어 2
 
0.3%
Other values (13) 14
 
2.2%

Length

2024-05-11T16:50:46.990255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 560
87.8%
없음 19
 
3.0%
러시아어 12
 
1.9%
n 8
 
1.3%
무 6
 
0.9%
3 6
 
0.9%
수화(예약필요 5
 
0.8%
영어+중국어+러시아어+일본어 4
 
0.6%
x 2
 
0.3%
영어,일어,중국어 2
 
0.3%
Other values (13) 14
 
2.2%

안내소전화번호
Text

Distinct489
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:50:47.434866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.995298
Min length9

Characters and Unicode

Total characters7653
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

Unique380 ?
Unique (%)59.6%

Sample

1st row033-575-1330
2nd row033-343-3432
3rd row031-775-8700
4th row031-375-7609
5th row033-733-1330
ValueCountFrequency (%)
000-0000-0000 7
 
1.1%
063-290-3991 6
 
0.9%
000-000-0000 6
 
0.9%
055-570-2513 6
 
0.9%
063-446-5114 6
 
0.9%
031-839-2289 5
 
0.8%
033-733-1330 4
 
0.6%
063-465-5186 4
 
0.6%
055-749-7449 4
 
0.6%
054-000-0000 4
 
0.6%
Other values (479) 586
91.8%
2024-05-11T16:50:48.209650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1280
16.7%
- 1271
16.6%
3 1033
13.5%
5 727
9.5%
6 580
7.6%
2 550
7.2%
1 525
6.9%
4 501
 
6.5%
7 412
 
5.4%
8 389
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6382
83.4%
Dash Punctuation 1271
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1280
20.1%
3 1033
16.2%
5 727
11.4%
6 580
9.1%
2 550
8.6%
1 525
8.2%
4 501
 
7.9%
7 412
 
6.5%
8 389
 
6.1%
9 385
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 1271
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7653
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1280
16.7%
- 1271
16.6%
3 1033
13.5%
5 727
9.5%
6 580
7.6%
2 550
7.2%
1 525
6.9%
4 501
 
6.5%
7 412
 
5.4%
8 389
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7653
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1280
16.7%
- 1271
16.6%
3 1033
13.5%
5 727
9.5%
6 580
7.6%
2 550
7.2%
1 525
6.9%
4 501
 
6.5%
7 412
 
5.4%
8 389
 
5.1%

소재지도로명주소
Text

MISSING 

Distinct549
Distinct (%)92.6%
Missing45
Missing (%)7.1%
Memory size5.1 KiB
2024-05-11T16:50:48.964455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length20.807757
Min length14

Characters and Unicode

Total characters12339
Distinct characters321
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique507 ?
Unique (%)85.5%

Sample

1st row강원도 삼척시 중앙로 192
2nd row강원도 횡성군 갑천면 태기로구방5길
3rd row경기도 양평군 양서면 두물머리길 119
4th row경기도 오산시 북삼미로 40
5th row강원도 원주시 지정면 소금산길 21
ValueCountFrequency (%)
경상남도 69
 
2.5%
전라북도 68
 
2.5%
전라남도 59
 
2.1%
경기도 54
 
1.9%
강원도 48
 
1.7%
경상북도 43
 
1.6%
강원특별자치도 38
 
1.4%
충청남도 30
 
1.1%
전북특별자치도 30
 
1.1%
중구 28
 
1.0%
Other values (1221) 2305
83.2%
2024-05-11T16:50:49.864038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2179
 
17.7%
도 522
 
4.2%
로 480
 
3.9%
시 409
 
3.3%
1 398
 
3.2%
2 249
 
2.0%
남 222
 
1.8%
군 214
 
1.7%
북 202
 
1.6%
면 201
 
1.6%
Other values (311) 7263
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8078
65.5%
Space Separator 2179
 
17.7%
Decimal Number 1833
 
14.9%
Dash Punctuation 98
 
0.8%
Open Punctuation 69
 
0.6%
Close Punctuation 69
 
0.6%
Other Punctuation 9
 
0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 522
 
6.5%
로 480
 
5.9%
시 409
 
5.1%
남 222
 
2.7%
군 214
 
2.6%
북 202
 
2.5%
면 201
 
2.5%
구 199
 
2.5%
경 193
 
2.4%
산 182
 
2.3%
Other values (292) 5254
65.0%
Decimal Number
ValueCountFrequency (%)
1 398
21.7%
2 249
13.6%
3 189
10.3%
0 171
9.3%
5 157
 
8.6%
6 151
 
8.2%
7 149
 
8.1%
4 143
 
7.8%
8 116
 
6.3%
9 110
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
E 1
25.0%
O 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8078
65.5%
Common 4257
34.5%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 522
 
6.5%
로 480
 
5.9%
시 409
 
5.1%
남 222
 
2.7%
군 214
 
2.6%
북 202
 
2.5%
면 201
 
2.5%
구 199
 
2.5%
경 193
 
2.4%
산 182
 
2.3%
Other values (292) 5254
65.0%
Common
ValueCountFrequency (%)
2179
51.2%
1 398
 
9.3%
2 249
 
5.8%
3 189
 
4.4%
0 171
 
4.0%
5 157
 
3.7%
6 151
 
3.5%
7 149
 
3.5%
4 143
 
3.4%
8 116
 
2.7%
Other values (6) 355
 
8.3%
Latin
ValueCountFrequency (%)
C 2
50.0%
E 1
25.0%
O 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8078
65.5%
ASCII 4261
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2179
51.1%
1 398
 
9.3%
2 249
 
5.8%
3 189
 
4.4%
0 171
 
4.0%
5 157
 
3.7%
6 151
 
3.5%
7 149
 
3.5%
4 143
 
3.4%
8 116
 
2.7%
Other values (9) 359
 
8.4%
Hangul
ValueCountFrequency (%)
도 522
 
6.5%
로 480
 
5.9%
시 409
 
5.1%
남 222
 
2.7%
군 214
 
2.6%
북 202
 
2.5%
면 201
 
2.5%
구 199
 
2.5%
경 193
 
2.4%
산 182
 
2.3%
Other values (292) 5254
65.0%

소재지지번주소
Text

MISSING 

Distinct548
Distinct (%)92.1%
Missing43
Missing (%)6.7%
Memory size5.1 KiB
2024-05-11T16:50:50.665653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length20.435294
Min length14

Characters and Unicode

Total characters12159
Distinct characters274
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique506 ?
Unique (%)85.0%

Sample

1st row강원도 삼척시 남양동 334
2nd row강원도 횡성군 갑천면 구방리 523~524
3rd row경기도 양평군 양서면 양수리 776-1번지
4th row경기도 오산시 내삼미동 269-4
5th row강원도 원주시 지정면 간현리 1036-2
ValueCountFrequency (%)
경상남도 70
 
2.5%
전라남도 65
 
2.3%
경기도 63
 
2.3%
전라북도 56
 
2.0%
경상북도 47
 
1.7%
강원도 46
 
1.7%
강원특별자치도 37
 
1.3%
충청남도 30
 
1.1%
중구 28
 
1.0%
인천광역시 27
 
1.0%
Other values (1283) 2312
83.1%
2024-05-11T16:50:51.729464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2186
 
18.0%
도 507
 
4.2%
1 439
 
3.6%
시 402
 
3.3%
- 361
 
3.0%
동 358
 
2.9%
리 313
 
2.6%
2 308
 
2.5%
3 264
 
2.2%
남 228
 
1.9%
Other values (264) 6793
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7395
60.8%
Decimal Number 2190
 
18.0%
Space Separator 2186
 
18.0%
Dash Punctuation 361
 
3.0%
Other Punctuation 9
 
0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 507
 
6.9%
시 402
 
5.4%
동 358
 
4.8%
리 313
 
4.2%
남 228
 
3.1%
군 214
 
2.9%
구 202
 
2.7%
경 201
 
2.7%
면 199
 
2.7%
북 193
 
2.6%
Other values (245) 4578
61.9%
Decimal Number
ValueCountFrequency (%)
1 439
20.0%
2 308
14.1%
3 264
12.1%
5 192
8.8%
8 178
8.1%
4 177
8.1%
6 177
8.1%
7 159
 
7.3%
0 149
 
6.8%
9 147
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
E 1
25.0%
O 1
25.0%
Space Separator
ValueCountFrequency (%)
2186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 361
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7395
60.8%
Common 4760
39.1%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 507
 
6.9%
시 402
 
5.4%
동 358
 
4.8%
리 313
 
4.2%
남 228
 
3.1%
군 214
 
2.9%
구 202
 
2.7%
경 201
 
2.7%
면 199
 
2.7%
북 193
 
2.6%
Other values (245) 4578
61.9%
Common
ValueCountFrequency (%)
2186
45.9%
1 439
 
9.2%
- 361
 
7.6%
2 308
 
6.5%
3 264
 
5.5%
5 192
 
4.0%
8 178
 
3.7%
4 177
 
3.7%
6 177
 
3.7%
7 159
 
3.3%
Other values (6) 319
 
6.7%
Latin
ValueCountFrequency (%)
C 2
50.0%
E 1
25.0%
O 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7395
60.8%
ASCII 4764
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2186
45.9%
1 439
 
9.2%
- 361
 
7.6%
2 308
 
6.5%
3 264
 
5.5%
5 192
 
4.0%
8 178
 
3.7%
4 177
 
3.7%
6 177
 
3.7%
7 159
 
3.3%
Other values (9) 323
 
6.8%
Hangul
ValueCountFrequency (%)
도 507
 
6.9%
시 402
 
5.4%
동 358
 
4.8%
리 313
 
4.2%
남 228
 
3.1%
군 214
 
2.9%
구 202
 
2.7%
경 201
 
2.7%
면 199
 
2.7%
북 193
 
2.6%
Other values (245) 4578
61.9%

운영기관명
Text

Distinct205
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:50:52.400287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length18
Mean length9.3119122
Min length3

Characters and Unicode

Total characters5941
Distinct characters169
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)12.7%

Sample

1st row강원도 삼척시청
2nd row강원도 횡성군청
3rd row와이피커뮤니케이션
4th row경기도 오산시청
5th row강원도 원주시청
ValueCountFrequency (%)
전라북도 69
 
5.7%
경상남도 67
 
5.5%
전라남도 63
 
5.2%
경상북도 53
 
4.4%
경기도 46
 
3.8%
강원도 45
 
3.7%
강원특별자치도 32
 
2.6%
전북특별자치도 31
 
2.6%
충청남도 27
 
2.2%
충청북도 26
 
2.2%
Other values (193) 749
62.0%
2024-05-11T16:50:53.447164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
583
 
9.8%
청 563
 
9.5%
도 485
 
8.2%
시 398
 
6.7%
군 225
 
3.8%
광 185
 
3.1%
경 183
 
3.1%
전 182
 
3.1%
북 181
 
3.0%
남 180
 
3.0%
Other values (159) 2776
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5327
89.7%
Space Separator 583
 
9.8%
Open Punctuation 13
 
0.2%
Close Punctuation 13
 
0.2%
Uppercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 563
 
10.6%
도 485
 
9.1%
시 398
 
7.5%
군 225
 
4.2%
광 185
 
3.5%
경 183
 
3.4%
전 182
 
3.4%
북 181
 
3.4%
남 180
 
3.4%
라 133
 
2.5%
Other values (152) 2612
49.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
K 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
583
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5327
89.7%
Common 610
 
10.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 563
 
10.6%
도 485
 
9.1%
시 398
 
7.5%
군 225
 
4.2%
광 185
 
3.5%
경 183
 
3.4%
전 182
 
3.4%
북 181
 
3.4%
남 180
 
3.4%
라 133
 
2.5%
Other values (152) 2612
49.0%
Common
ValueCountFrequency (%)
583
95.6%
( 13
 
2.1%
) 13
 
2.1%
: 1
 
0.2%
Latin
ValueCountFrequency (%)
A 2
50.0%
K 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5327
89.7%
ASCII 614
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
583
95.0%
( 13
 
2.1%
) 13
 
2.1%
A 2
 
0.3%
: 1
 
0.2%
K 1
 
0.2%
T 1
 
0.2%
Hangul
ValueCountFrequency (%)
청 563
 
10.6%
도 485
 
9.1%
시 398
 
7.5%
군 225
 
4.2%
광 185
 
3.5%
경 183
 
3.4%
전 182
 
3.4%
북 181
 
3.4%
남 180
 
3.4%
라 133
 
2.5%
Other values (152) 2612
49.0%

홈페이지주소
Text

MISSING 

Distinct140
Distinct (%)30.4%
Missing177
Missing (%)27.7%
Memory size5.1 KiB
2024-05-11T16:50:53.894293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length66
Mean length36.535792
Min length2

Characters and Unicode

Total characters16843
Distinct characters60
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)11.9%

Sample

1st rowhttp://www.samcheok.go.kr/tour.web
2nd rowhttp://www.hsg.go.kr/tour
3rd rowtour.yp21.net
4th rowwww.wonju.go.kr/tour
5th rowwww.wonju.go.kr/tour
ValueCountFrequency (%)
http://www.yeosu.go.kr/tour 14
 
3.0%
http://tour.jeonju.go.kr 14
 
3.0%
http://culture.gochang.go.kr 14
 
3.0%
http://tour.jecheon.go.kr 13
 
2.8%
https://www.gunsan.go.kr/tour 12
 
2.6%
http://culture.changwon.go.kr 11
 
2.4%
http://itour.incheon.go.kr 11
 
2.4%
http://www.swcf.or.kr 10
 
2.2%
http://www.ongjin.go.kr/open_content/tour 10
 
2.2%
http://www.daegutravel.or.kr 10
 
2.2%
Other values (129) 344
74.3%
2024-05-11T16:50:54.904184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1472
 
8.7%
t 1387
 
8.2%
/ 1373
 
8.2%
o 1260
 
7.5%
w 1026
 
6.1%
r 941
 
5.6%
0 858
 
5.1%
g 773
 
4.6%
n 704
 
4.2%
u 688
 
4.1%
Other values (50) 6361
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11423
67.8%
Other Punctuation 3377
 
20.0%
Decimal Number 1509
 
9.0%
Uppercase Letter 294
 
1.7%
Math Symbol 133
 
0.8%
Connector Punctuation 102
 
0.6%
Space Separator 2
 
< 0.1%
Other Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1387
12.1%
o 1260
11.0%
w 1026
 
9.0%
r 941
 
8.2%
g 773
 
6.8%
n 704
 
6.2%
u 688
 
6.0%
h 594
 
5.2%
e 556
 
4.9%
p 492
 
4.3%
Other values (15) 3002
26.3%
Uppercase Letter
ValueCountFrequency (%)
S 52
17.7%
M 39
13.3%
C 38
12.9%
D 38
12.9%
O 37
12.6%
B 36
12.2%
I 21
7.1%
F 17
 
5.8%
P 8
 
2.7%
N 4
 
1.4%
Other values (3) 4
 
1.4%
Decimal Number
ValueCountFrequency (%)
0 858
56.9%
1 109
 
7.2%
2 100
 
6.6%
4 78
 
5.2%
8 65
 
4.3%
6 63
 
4.2%
7 61
 
4.0%
3 60
 
4.0%
9 59
 
3.9%
5 56
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 1472
43.6%
/ 1373
40.7%
: 395
 
11.7%
& 80
 
2.4%
? 55
 
1.6%
, 2
 
0.1%
Other Letter
ValueCountFrequency (%)
없 1
50.0%
음 1
50.0%
Math Symbol
ValueCountFrequency (%)
= 133
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 102
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11717
69.6%
Common 5124
30.4%
Hangul 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1387
11.8%
o 1260
 
10.8%
w 1026
 
8.8%
r 941
 
8.0%
g 773
 
6.6%
n 704
 
6.0%
u 688
 
5.9%
h 594
 
5.1%
e 556
 
4.7%
p 492
 
4.2%
Other values (28) 3296
28.1%
Common
ValueCountFrequency (%)
. 1472
28.7%
/ 1373
26.8%
0 858
16.7%
: 395
 
7.7%
= 133
 
2.6%
1 109
 
2.1%
_ 102
 
2.0%
2 100
 
2.0%
& 80
 
1.6%
4 78
 
1.5%
Other values (10) 424
 
8.3%
Hangul
ValueCountFrequency (%)
없 1
50.0%
음 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16841
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1472
 
8.7%
t 1387
 
8.2%
/ 1373
 
8.2%
o 1260
 
7.5%
w 1026
 
6.1%
r 941
 
5.6%
0 858
 
5.1%
g 773
 
4.6%
n 704
 
4.2%
u 688
 
4.1%
Other values (48) 6359
37.8%
Hangul
ValueCountFrequency (%)
없 1
50.0%
음 1
50.0%

위도
Real number (ℝ)

Distinct538
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.246071
Minimum33.237994
Maximum38.514386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-05-11T16:50:55.200853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.237994
5-th percentile34.751895
Q135.291255
median35.978341
Q337.298623
95-th percentile38.043443
Maximum38.514386
Range5.2763921
Interquartile range (IQR)2.0073681

Descriptive statistics

Standard deviation1.13264
Coefficient of variation (CV)0.031248627
Kurtosis-0.91195636
Mean36.246071
Median Absolute Deviation (MAD)0.88612785
Skewness0.028443467
Sum23124.994
Variance1.2828733
MonotonicityNot monotonic
2024-05-11T16:50:55.680119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.84968891 4
 
0.6%
35.43237353 4
 
0.6%
35.98250016 3
 
0.5%
35.168269611 3
 
0.5%
37.440412 2
 
0.3%
35.88576955 2
 
0.3%
37.73167677 2
 
0.3%
37.6890508 2
 
0.3%
37.54555451 2
 
0.3%
35.49041849 2
 
0.3%
Other values (528) 612
95.9%
ValueCountFrequency (%)
33.23799399 1
0.2%
33.24452585 1
0.2%
33.24481631 1
0.2%
33.2451792 1
0.2%
33.2526828 1
0.2%
33.48621625 1
0.2%
33.4889421 1
0.2%
33.4997233 1
0.2%
33.51484266 1
0.2%
33.51742949 1
0.2%
ValueCountFrequency (%)
38.51438609 2
0.3%
38.47250515 2
0.3%
38.246783 2
0.3%
38.21366506 2
0.3%
38.21112483 2
0.3%
38.20475131 2
0.3%
38.1932900313 1
0.2%
38.19329003 1
0.2%
38.19049321 2
0.3%
38.18542141 2
0.3%

경도
Real number (ℝ)

Distinct541
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.74065
Minimum124.72173
Maximum130.90975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-05-11T16:50:56.027304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.72173
5-th percentile126.44833
Q1126.99208
median127.64625
Q3128.58735
95-th percentile129.15863
Maximum130.90975
Range6.1880247
Interquartile range (IQR)1.5952723

Descriptive statistics

Standard deviation0.93034134
Coefficient of variation (CV)0.0072830484
Kurtosis-0.60655712
Mean127.74065
Median Absolute Deviation (MAD)0.7728674
Skewness0.22133612
Sum81498.536
Variance0.86553501
MonotonicityNot monotonic
2024-05-11T16:50:56.943156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7026295 4
 
0.6%
127.1634706 4
 
0.6%
128.9464763094 3
 
0.5%
126.6099265 2
 
0.3%
127.1210312 2
 
0.3%
127.878881 2
 
0.3%
126.4523478 2
 
0.3%
127.717005 2
 
0.3%
127.718669 2
 
0.3%
127.723914 2
 
0.3%
Other values (531) 613
96.1%
ValueCountFrequency (%)
124.7217261 1
0.2%
125.4426644 1
0.2%
125.6858593 1
0.2%
126.1144218 1
0.2%
126.151764 1
0.2%
126.1542865 1
0.2%
126.160463 1
0.2%
126.1605028 1
0.2%
126.2349367 1
0.2%
126.3024816 1
0.2%
ValueCountFrequency (%)
130.9097508 1
0.2%
130.9080012 1
0.2%
130.8770719963 1
0.2%
129.5665319 1
0.2%
129.561563 1
0.2%
129.435245 2
0.3%
129.4340373 1
0.2%
129.4197141 1
0.2%
129.368808 1
0.2%
129.3669443 1
0.2%

데이터기준일자
Date

Distinct148
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2019-09-30 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T16:50:57.375455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:50:57.819417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct203
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:50:58.771055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters4466
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)10.8%

Sample

1st row4240000
2nd row4260000
3rd row4170000
4th row4000000
5th row4190000
ValueCountFrequency (%)
4810000 15
 
2.4%
4400000 13
 
2.0%
6280000 11
 
1.7%
5670000 11
 
1.7%
5330000 11
 
1.7%
3740000 10
 
1.6%
3580000 10
 
1.6%
4750000 9
 
1.4%
4751000 9
 
1.4%
3010000 9
 
1.4%
Other values (193) 530
83.1%
2024-05-11T16:51:00.064127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2554
57.2%
4 456
 
10.2%
5 272
 
6.1%
3 243
 
5.4%
1 239
 
5.4%
6 167
 
3.7%
7 157
 
3.5%
2 156
 
3.5%
8 126
 
2.8%
9 82
 
1.8%
Other values (2) 14
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4452
99.7%
Uppercase Letter 14
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2554
57.4%
4 456
 
10.2%
5 272
 
6.1%
3 243
 
5.5%
1 239
 
5.4%
6 167
 
3.8%
7 157
 
3.5%
2 156
 
3.5%
8 126
 
2.8%
9 82
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
50.0%
A 7
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4452
99.7%
Latin 14
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2554
57.4%
4 456
 
10.2%
5 272
 
6.1%
3 243
 
5.5%
1 239
 
5.4%
6 167
 
3.8%
7 157
 
3.5%
2 156
 
3.5%
8 126
 
2.8%
9 82
 
1.8%
Latin
ValueCountFrequency (%)
B 7
50.0%
A 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2554
57.2%
4 456
 
10.2%
5 272
 
6.1%
3 243
 
5.4%
1 239
 
5.4%
6 167
 
3.7%
7 157
 
3.5%
2 156
 
3.5%
8 126
 
2.8%
9 82
 
1.8%
Other values (2) 14
 
0.3%

제공기관명
Text

Distinct203
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T16:51:00.862540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.137931
Min length4

Characters and Unicode

Total characters5192
Distinct characters128
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)10.8%

Sample

1st row강원도 삼척시
2nd row강원도 횡성군
3rd row경기도 양평군
4th row경기도 오산시
5th row강원도 원주시
ValueCountFrequency (%)
경상남도 80
 
6.6%
전라남도 67
 
5.5%
경기도 65
 
5.3%
경상북도 54
 
4.4%
전라북도 50
 
4.1%
전북특별자치도 50
 
4.1%
강원도 41
 
3.4%
강원특별자치도 40
 
3.3%
충청남도 30
 
2.5%
인천광역시 28
 
2.3%
Other values (165) 710
58.4%
2024-05-11T16:51:02.029806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
577
 
11.1%
도 520
 
10.0%
시 423
 
8.1%
군 235
 
4.5%
경 207
 
4.0%
남 194
 
3.7%
전 186
 
3.6%
북 184
 
3.5%
상 140
 
2.7%
별 119
 
2.3%
Other values (118) 2407
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4615
88.9%
Space Separator 577
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 520
 
11.3%
시 423
 
9.2%
군 235
 
5.1%
경 207
 
4.5%
남 194
 
4.2%
전 186
 
4.0%
북 184
 
4.0%
상 140
 
3.0%
별 119
 
2.6%
특 119
 
2.6%
Other values (117) 2288
49.6%
Space Separator
ValueCountFrequency (%)
577
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4615
88.9%
Common 577
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 520
 
11.3%
시 423
 
9.2%
군 235
 
5.1%
경 207
 
4.5%
남 194
 
4.2%
전 186
 
4.0%
북 184
 
4.0%
상 140
 
3.0%
별 119
 
2.6%
특 119
 
2.6%
Other values (117) 2288
49.6%
Common
ValueCountFrequency (%)
577
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4615
88.9%
ASCII 577
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
577
100.0%
Hangul
ValueCountFrequency (%)
도 520
 
11.3%
시 423
 
9.2%
군 235
 
5.1%
경 207
 
4.5%
남 194
 
4.2%
전 186
 
4.0%
북 184
 
4.0%
상 140
 
3.0%
별 119
 
2.6%
특 119
 
2.6%
Other values (117) 2288
49.6%

Sample

관광안내소명안내소위치명시도명시군구명안내소소개부가서비스정보휴무일운영시작시각(하절기)운영종료시각(하절기)운영시작시각(동절기)운영종료시각(동절기)평균근무인원수영어안내가능여부일본어안내가능여부중국어안내가능여부안내가능외국어안내소전화번호소재지도로명주소소재지지번주소운영기관명홈페이지주소위도경도데이터기준일자제공기관코드제공기관명
0삼척시종합관광안내소삼척 고속버스터미널 옆강원도삼척시삼척시 관광 정보 제공<NA>월10회(평일 중)09:0018:0009:0018:001.0YNN<NA>033-575-1330강원도 삼척시 중앙로 192강원도 삼척시 남양동 334강원도 삼척시청http://www.samcheok.go.kr/tour.web37.440412129.1679562022-08-044240000강원도 삼척시
1횡성군관광안내소횡성호수길강원도횡성군횡성관내 관광코스 안내호수길 설명 등화+금09:0016:0009:0016:002.0NNN<NA>033-343-3432강원도 횡성군 갑천면 태기로구방5길강원도 횡성군 갑천면 구방리 523~524강원도 횡성군청http://www.hsg.go.kr/tour37.545555128.0670552022-07-184260000강원도 횡성군
2두물머리 관광안내소두물머리경기도양평군두물머리 주변 관광안내 및 양평군 종합관광안내소규모 체험운영연중무휴(명절당일만 휴무)09:0018:0009:0018:000.0YYN<NA>031-775-8700경기도 양평군 양서면 두물머리길 119경기도 양평군 양서면 양수리 776-1번지와이피커뮤니케이션tour.yp21.net37.533838127.3163152023-05-244170000경기도 양평군
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630한옥마을 관광안내소공영주차장 옆전라북도전주시<NA>수유실+유실물보관+유모차휠체어 대여연중무휴09:0018:0009:0018:004.0YYY<NA>063-282-1330전라북도 전주시 완산구 기린대로 99전라북도 전주시 완산구 남노송동 100-1전라북도 전주시청http://tour.jeonju.go.kr/35.81825127.1536772023-08-224640000전라북도 전주시
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