Overview

Dataset statistics

Number of variables26
Number of observations637
Missing cells690
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.4 KiB
Average record size in memory211.2 B

Variable types

Text13
Categorical5
DateTime5
Numeric3

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

안내가능외국어 is highly imbalanced (78.1%)Imbalance
안내소소개 has 65 (10.2%) missing valuesMissing
부가서비스정보 has 341 (53.5%) missing valuesMissing
평균근무인원수 has 20 (3.1%) missing valuesMissing
소재지도로명주소 has 44 (6.9%) missing valuesMissing
소재지지번주소 has 43 (6.8%) missing valuesMissing
홈페이지주소 has 177 (27.8%) missing valuesMissing

Reproduction

Analysis started2024-05-04 08:16:21.293384
Analysis finished2024-05-04 08:16:25.726732
Duration4.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광안내소명
Text

Distinct532
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:16:26.284128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length9.3233909
Min length2

Characters and Unicode

Total characters5939
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

Unique442 ?
Unique (%)69.4%

Sample

1st row삼척시종합관광안내소
2nd row횡성군관광안내소
3rd row두물머리 관광안내소
4th row드라마세트장관광안내소
5th row간현관광지 관광안내소
ValueCountFrequency (%)
관광안내소 192
 
19.9%
종합관광안내소 19
 
2.0%
안내소 13
 
1.3%
관광안내센터 8
 
0.8%
종합안내소 8
 
0.8%
터미널관광안내소 7
 
0.7%
탐방안내소 7
 
0.7%
횡성군관광안내소 6
 
0.6%
완주 6
 
0.6%
터미널 5
 
0.5%
Other values (576) 695
71.9%
2024-05-04T08:16:27.565156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 537
 
9.0%
내 528
 
8.9%
관 520
 
8.8%
소 506
 
8.5%
광 503
 
8.5%
329
 
5.5%
터 96
 
1.6%
합 72
 
1.2%
종 71
 
1.2%
산 67
 
1.1%
Other values (348) 2710
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5520
92.9%
Space Separator 329
 
5.5%
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
 
9.6%
관 520
 
9.4%
소 506
 
9.2%
광 503
 
9.1%
터 96
 
1.7%
합 72
 
1.3%
종 71
 
1.3%
산 67
 
1.2%
역 62
 
1.1%
Other values (332) 2558
46.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
15.4%
D 2
15.4%
Z 2
15.4%
M 2
15.4%
E 1
7.7%
T 1
7.7%
R 1
7.7%
S 1
7.7%
O 1
7.7%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
0 1
 
14.3%
Space Separator
ValueCountFrequency (%)
329
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 5520
92.9%
Common 406
 
6.8%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 537
 
9.7%
내 528
 
9.6%
관 520
 
9.4%
소 506
 
9.2%
광 503
 
9.1%
터 96
 
1.7%
합 72
 
1.3%
종 71
 
1.3%
산 67
 
1.2%
역 62
 
1.1%
Other values (332) 2558
46.3%
Latin
ValueCountFrequency (%)
C 2
15.4%
D 2
15.4%
Z 2
15.4%
M 2
15.4%
E 1
7.7%
T 1
7.7%
R 1
7.7%
S 1
7.7%
O 1
7.7%
Common
ValueCountFrequency (%)
329
81.0%
) 34
 
8.4%
( 34
 
8.4%
2 4
 
1.0%
: 2
 
0.5%
1 2
 
0.5%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5519
92.9%
ASCII 419
 
7.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 537
 
9.7%
내 528
 
9.6%
관 520
 
9.4%
소 506
 
9.2%
광 503
 
9.1%
터 96
 
1.7%
합 72
 
1.3%
종 71
 
1.3%
산 67
 
1.2%
역 62
 
1.1%
Other values (331) 2557
46.3%
ASCII
ValueCountFrequency (%)
329
78.5%
) 34
 
8.1%
( 34
 
8.1%
2 4
 
1.0%
: 2
 
0.5%
C 2
 
0.5%
1 2
 
0.5%
D 2
 
0.5%
Z 2
 
0.5%
M 2
 
0.5%
Other values (6) 6
 
1.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

안내소위치명
Text

Distinct550
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:16:28.215317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length87
Mean length11.929356
Min length2

Characters and Unicode

Total characters7599
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

Unique463 ?
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 (883) 1382
77.5%
2024-05-04T08:16:29.431185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1154
 
15.2%
장 178
 
2.3%
구 145
 
1.9%
내 145
 
1.9%
로 113
 
1.5%
입 102
 
1.3%
역 94
 
1.2%
주 92
 
1.2%
관 90
 
1.2%
터 90
 
1.2%
Other values (423) 5396
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5932
78.1%
Space Separator 1154
 
15.2%
Decimal Number 311
 
4.1%
Lowercase Letter 69
 
0.9%
Close Punctuation 34
 
0.4%
Open Punctuation 32
 
0.4%
Uppercase Letter 31
 
0.4%
Other Punctuation 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%
구 145
 
2.4%
내 145
 
2.4%
로 113
 
1.9%
입 102
 
1.7%
역 94
 
1.6%
주 92
 
1.6%
관 90
 
1.5%
터 90
 
1.5%
공 88
 
1.5%
Other values (389) 4795
80.8%
Uppercase Letter
ValueCountFrequency (%)
T 7
22.6%
C 5
16.1%
I 5
16.1%
K 3
9.7%
X 3
9.7%
D 2
 
6.5%
P 1
 
3.2%
E 1
 
3.2%
R 1
 
3.2%
S 1
 
3.2%
Other values (2) 2
 
6.5%
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%
6 17
 
5.5%
7 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 (%)
1154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5931
78.0%
Common 1567
 
20.6%
Latin 100
 
1.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 178
 
3.0%
구 145
 
2.4%
내 145
 
2.4%
로 113
 
1.9%
입 102
 
1.7%
역 94
 
1.6%
주 92
 
1.6%
관 90
 
1.5%
터 90
 
1.5%
공 88
 
1.5%
Other values (388) 4794
80.8%
Common
ValueCountFrequency (%)
1154
73.6%
2 66
 
4.2%
1 64
 
4.1%
5 36
 
2.3%
3 34
 
2.2%
) 33
 
2.1%
( 31
 
2.0%
4 29
 
1.9%
0 24
 
1.5%
. 20
 
1.3%
Other values (10) 76
 
4.9%
Latin
ValueCountFrequency (%)
m 50
50.0%
k 19
 
19.0%
T 7
 
7.0%
C 5
 
5.0%
I 5
 
5.0%
K 3
 
3.0%
X 3
 
3.0%
D 2
 
2.0%
P 1
 
1.0%
E 1
 
1.0%
Other values (4) 4
 
4.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5930
78.0%
ASCII 1667
 
21.9%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1154
69.2%
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) 146
 
8.8%
Hangul
ValueCountFrequency (%)
장 178
 
3.0%
구 145
 
2.4%
내 145
 
2.4%
로 113
 
1.9%
입 102
 
1.7%
역 94
 
1.6%
주 92
 
1.6%
관 90
 
1.5%
터 90
 
1.5%
공 88
 
1.5%
Other values (387) 4793
80.8%
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
전라북도
85 
경상남도
81 
전라남도
68 
경기도
65 
경상북도
55 
Other values (13)
283 

Length

Max length7
Median length4
Mean length4.2747253
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 85
13.3%
경상남도 81
12.7%
전라남도 68
10.7%
경기도 65
10.2%
경상북도 55
8.6%
강원도 52
8.2%
강원특별자치도 34
 
5.3%
충청남도 30
 
4.7%
충청북도 27
 
4.2%
인천광역시 27
 
4.2%
Other values (8) 113
17.7%

Length

2024-05-04T08:16:30.129291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 85
13.3%
경상남도 81
12.7%
전라남도 68
10.7%
경기도 65
10.2%
경상북도 55
8.6%
강원도 52
8.2%
강원특별자치도 34
 
5.3%
충청남도 30
 
4.7%
인천광역시 27
 
4.2%
충청북도 27
 
4.2%
Other values (8) 113
17.7%

시군구명
Text

Distinct158
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:16:31.097430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9654631
Min length2

Characters and Unicode

Total characters1889
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%
동구 14
 
2.2%
전주시 14
 
2.2%
고창군 14
 
2.2%
동해시 13
 
2.0%
제천시 13
 
2.0%
군산시 12
 
1.9%
창원특례시 11
 
1.7%
Other values (148) 485
76.1%
2024-05-04T08:16:32.793313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 313
 
16.6%
군 238
 
12.6%
구 104
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 48
 
2.5%
산 46
 
2.4%
동 44
 
2.3%
창 44
 
2.3%
양 39
 
2.1%
Other values (104) 871
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1889
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 313
 
16.6%
군 238
 
12.6%
구 104
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 48
 
2.5%
산 46
 
2.4%
동 44
 
2.3%
창 44
 
2.3%
양 39
 
2.1%
Other values (104) 871
46.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1889
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 313
 
16.6%
군 238
 
12.6%
구 104
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 48
 
2.5%
산 46
 
2.4%
동 44
 
2.3%
창 44
 
2.3%
양 39
 
2.1%
Other values (104) 871
46.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1889
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 313
 
16.6%
군 238
 
12.6%
구 104
 
5.5%
주 83
 
4.4%
천 59
 
3.1%
수 48
 
2.5%
산 46
 
2.4%
동 44
 
2.3%
창 44
 
2.3%
양 39
 
2.1%
Other values (104) 871
46.1%

안내소소개
Text

MISSING 

Distinct302
Distinct (%)52.8%
Missing65
Missing (%)10.2%
Memory size5.1 KiB
2024-05-04T08:16:34.019041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length295
Median length106
Mean length28.043706
Min length5

Characters and Unicode

Total characters16041
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 (%)36.7%

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 159
 
4.2%
제공 111
 
2.9%
관광안내 69
 
1.8%
관광 67
 
1.8%
관광지 63
 
1.7%
제공합니다 62
 
1.6%
대한 60
 
1.6%
등 60
 
1.6%
해설 50
 
1.3%
Other values (1137) 2892
76.7%
2024-05-04T08:16:35.796650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3198
 
19.9%
관 773
 
4.8%
광 696
 
4.3%
내 511
 
3.2%
안 456
 
2.8%
보 269
 
1.7%
, 255
 
1.6%
공 254
 
1.6%
제 252
 
1.6%
정 251
 
1.6%
Other values (449) 9126
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12242
76.3%
Space Separator 3198
 
19.9%
Other Punctuation 381
 
2.4%
Decimal Number 59
 
0.4%
Close Punctuation 49
 
0.3%
Open Punctuation 49
 
0.3%
Math Symbol 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 511
 
4.2%
안 456
 
3.7%
보 269
 
2.2%
공 254
 
2.1%
제 252
 
2.1%
정 251
 
2.1%
시 229
 
1.9%
소 218
 
1.8%
Other values (423) 8333
68.1%
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 (%)
, 255
66.9%
. 101
 
26.5%
· 9
 
2.4%
/ 9
 
2.4%
: 7
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
B 1
20.0%
N 1
20.0%
T 1
20.0%
Math Symbol
ValueCountFrequency (%)
+ 43
87.8%
~ 6
 
12.2%
Space Separator
ValueCountFrequency (%)
3198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open 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 12240
76.3%
Common 3793
 
23.6%
Latin 7
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 773
 
6.3%
광 696
 
5.7%
내 511
 
4.2%
안 456
 
3.7%
보 269
 
2.2%
공 254
 
2.1%
제 252
 
2.1%
정 251
 
2.1%
시 229
 
1.9%
소 218
 
1.8%
Other values (421) 8331
68.1%
Common
ValueCountFrequency (%)
3198
84.3%
, 255
 
6.7%
. 101
 
2.7%
) 49
 
1.3%
( 49
 
1.3%
+ 43
 
1.1%
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 12234
76.3%
ASCII 3784
 
23.6%
None 10
 
0.1%
Punctuation 6
 
< 0.1%
Compat Jamo 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3198
84.5%
, 255
 
6.7%
. 101
 
2.7%
) 49
 
1.3%
( 49
 
1.3%
+ 43
 
1.1%
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 511
 
4.2%
안 456
 
3.7%
보 269
 
2.2%
공 254
 
2.1%
제 252
 
2.1%
정 251
 
2.1%
시 229
 
1.9%
소 218
 
1.8%
Other values (420) 8325
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 (%)39.9%
Missing341
Missing (%)53.5%
Memory size5.1 KiB
2024-05-04T08:16:36.545761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length59
Mean length13
Min length1

Characters and Unicode

Total characters3848
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 (%)21.6%

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
 
2.7%
제공 17
 
2.7%
배부 17
 
2.7%
인터넷 14
 
2.2%
없음 14
 
2.2%
운영 13
 
2.0%
휠체어 13
 
2.0%
안내 13
 
2.0%
Other values (192) 467
72.9%
2024-05-04T08:16:37.695183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
 
9.0%
+ 264
 
6.9%
관 137
 
3.6%
전 125
 
3.2%
보 125
 
3.2%
대 93
 
2.4%
광 86
 
2.2%
충 84
 
2.2%
안 72
 
1.9%
체 68
 
1.8%
Other values (212) 2449
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3153
81.9%
Space Separator 345
 
9.0%
Math Symbol 264
 
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 137
 
4.3%
전 125
 
4.0%
보 125
 
4.0%
대 93
 
2.9%
광 86
 
2.7%
충 84
 
2.7%
안 72
 
2.3%
체 68
 
2.2%
물 64
 
2.0%
어 64
 
2.0%
Other values (190) 2235
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%
T 1
 
6.7%
R 1
 
6.7%
F 1
 
6.7%
W 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
33.3%
w 1
16.7%
f 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 (%)
345
100.0%
Math Symbol
ValueCountFrequency (%)
+ 264
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 3153
81.9%
Common 674
 
17.5%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 137
 
4.3%
전 125
 
4.0%
보 125
 
4.0%
대 93
 
2.9%
광 86
 
2.7%
충 84
 
2.7%
안 72
 
2.3%
체 68
 
2.2%
물 64
 
2.0%
어 64
 
2.0%
Other values (190) 2235
70.9%
Latin
ValueCountFrequency (%)
I 3
14.3%
V 2
9.5%
i 2
9.5%
D 2
9.5%
P 2
9.5%
C 2
9.5%
T 1
 
4.8%
R 1
 
4.8%
w 1
 
4.8%
f 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
345
51.2%
+ 264
39.2%
) 25
 
3.7%
( 25
 
3.7%
, 9
 
1.3%
· 2
 
0.3%
/ 2
 
0.3%
- 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3153
81.9%
ASCII 693
 
18.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
49.8%
+ 264
38.1%
) 25
 
3.6%
( 25
 
3.6%
, 9
 
1.3%
I 3
 
0.4%
V 2
 
0.3%
i 2
 
0.3%
D 2
 
0.3%
/ 2
 
0.3%
Other values (11) 14
 
2.0%
Hangul
ValueCountFrequency (%)
관 137
 
4.3%
전 125
 
4.0%
보 125
 
4.0%
대 93
 
2.9%
광 86
 
2.7%
충 84
 
2.7%
안 72
 
2.3%
체 68
 
2.2%
물 64
 
2.0%
어 64
 
2.0%
Other values (190) 2235
70.9%
None
ValueCountFrequency (%)
· 2
100.0%

휴무일
Text

Distinct121
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:16:38.352575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length8.2684458
Min length1

Characters and Unicode

Total characters5267
Distinct characters124
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

Unique54 ?
Unique (%)8.5%

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
20.4%
당일 94
 
7.9%
당일+추석 55
 
4.6%
추석 47
 
3.9%
설 42
 
3.5%
1월 40
 
3.3%
설날 37
 
3.1%
1일+설 32
 
2.7%
월요일 31
 
2.6%
연휴 27
 
2.3%
Other values (139) 547
45.7%
2024-05-04T08:16:39.342860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
599
 
11.4%
일 428
 
8.1%
휴 415
 
7.9%
+ 401
 
7.6%
연 342
 
6.5%
무 280
 
5.3%
중 252
 
4.8%
설 226
 
4.3%
석 225
 
4.3%
추 225
 
4.3%
Other values (114) 1874
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3926
74.5%
Space Separator 599
 
11.4%
Math Symbol 408
 
7.7%
Decimal Number 161
 
3.1%
Other Punctuation 90
 
1.7%
Close Punctuation 41
 
0.8%
Open Punctuation 41
 
0.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 428
 
10.9%
휴 415
 
10.6%
연 342
 
8.7%
무 280
 
7.1%
중 252
 
6.4%
설 226
 
5.8%
석 225
 
5.7%
추 225
 
5.7%
당 218
 
5.6%
월 183
 
4.7%
Other values (94) 1132
28.8%
Decimal Number
ValueCountFrequency (%)
1 126
78.3%
2 12
 
7.5%
0 10
 
6.2%
9 5
 
3.1%
3 2
 
1.2%
8 2
 
1.2%
7 2
 
1.2%
6 1
 
0.6%
4 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 75
83.3%
· 9
 
10.0%
: 2
 
2.2%
* 2
 
2.2%
. 2
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 401
98.3%
~ 7
 
1.7%
Space Separator
ValueCountFrequency (%)
599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3926
74.5%
Common 1341
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 428
 
10.9%
휴 415
 
10.6%
연 342
 
8.7%
무 280
 
7.1%
중 252
 
6.4%
설 226
 
5.8%
석 225
 
5.7%
추 225
 
5.7%
당 218
 
5.6%
월 183
 
4.7%
Other values (94) 1132
28.8%
Common
ValueCountFrequency (%)
599
44.7%
+ 401
29.9%
1 126
 
9.4%
, 75
 
5.6%
) 41
 
3.1%
( 41
 
3.1%
2 12
 
0.9%
0 10
 
0.7%
· 9
 
0.7%
~ 7
 
0.5%
Other values (10) 20
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3926
74.5%
ASCII 1332
 
25.3%
None 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
599
45.0%
+ 401
30.1%
1 126
 
9.5%
, 75
 
5.6%
) 41
 
3.1%
( 41
 
3.1%
2 12
 
0.9%
0 10
 
0.8%
~ 7
 
0.5%
9 5
 
0.4%
Other values (9) 15
 
1.1%
Hangul
ValueCountFrequency (%)
일 428
 
10.9%
휴 415
 
10.6%
연 342
 
8.7%
무 280
 
7.1%
중 252
 
6.4%
설 226
 
5.8%
석 225
 
5.7%
추 225
 
5.7%
당 218
 
5.6%
월 183
 
4.7%
Other values (94) 1132
28.8%
None
ValueCountFrequency (%)
· 9
100.0%

운영시작시각(하절기)
Date

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 14:00:00
2024-05-04T08:16:39.623351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:16:39.893734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

운영종료시각(하절기)
Date

Distinct16
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 22:00:00
2024-05-04T08:16:40.219863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:16:40.590816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

운영시작시각(동절기)
Date

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 14:00:00
2024-05-04T08:16:40.864555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:16:41.080186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

운영종료시각(동절기)
Date

Distinct16
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 22:00:00
2024-05-04T08:16:41.326033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:16:41.801568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

평균근무인원수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)2.1%
Missing20
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.9124797
Minimum0
Maximum23
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-05-04T08:16:42.090408image/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 deviation1.7154634
Coefficient of variation (CV)0.89698384
Kurtosis75.309528
Mean1.9124797
Median Absolute Deviation (MAD)1
Skewness6.9714347
Sum1180
Variance2.9428148
MonotonicityNot monotonic
2024-05-04T08:16:42.442518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.0 284
44.6%
2.0 221
34.7%
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
44.6%
1.5 2
 
0.3%
2.0 221
34.7%
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%
2.0 221
34.7%

영어안내가능여부
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Y
297 
N
277 
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 297
46.6%
N 277
43.5%
63
 
9.9%

Length

2024-05-04T08:16:42.738715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:16:42.948075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 297
51.7%
n 277
48.3%

일본어안내가능여부
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
N
321 
Y
260 
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 321
50.4%
Y 260
40.8%
56
 
8.8%

Length

2024-05-04T08:16:43.357504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:16:43.692980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 321
55.2%
y 260
44.8%

중국어안내가능여부
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
N
325 
Y
249 
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
51.0%
Y 249
39.1%
63
 
9.9%

Length

2024-05-04T08:16:44.078500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:16:44.416170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 325
56.6%
y 249
43.4%

안내가능외국어
Categorical

IMBALANCE 

Distinct22
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
559 
없음
 
19
러시아어
 
12
N
 
9
무
 
6
Other values (17)
 
32

Length

Max length15
Median length4
Mean length3.9811617
Min length1

Unique

Unique11 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
87.8%
없음 19
 
3.0%
러시아어 12
 
1.9%
N 9
 
1.4%
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 (12) 13
 
2.0%

Length

2024-05-04T08:16:44.914743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 559
87.8%
없음 19
 
3.0%
러시아어 12
 
1.9%
n 9
 
1.4%
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 (12) 13
 
2.0%

안내소전화번호
Text

Distinct485
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:16:45.530723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.993721
Min length9

Characters and Unicode

Total characters7640
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

Unique376 ?
Unique (%)59.0%

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%
000-000-0000 6
 
0.9%
063-290-3991 6
 
0.9%
055-570-2513 6
 
0.9%
063-446-5114 6
 
0.9%
031-839-2289 5
 
0.8%
063-465-5186 4
 
0.6%
055-749-7449 4
 
0.6%
063-350-2469 4
 
0.6%
063-350-2550 4
 
0.6%
Other values (475) 585
91.8%
2024-05-04T08:16:46.545796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1278
16.7%
- 1269
16.6%
3 1028
13.5%
5 728
9.5%
6 584
7.6%
2 548
7.2%
1 521
6.8%
4 502
 
6.6%
7 410
 
5.4%
8 387
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6371
83.4%
Dash Punctuation 1269
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1278
20.1%
3 1028
16.1%
5 728
11.4%
6 584
9.2%
2 548
8.6%
1 521
8.2%
4 502
 
7.9%
7 410
 
6.4%
8 387
 
6.1%
9 385
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 1269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1278
16.7%
- 1269
16.6%
3 1028
13.5%
5 728
9.5%
6 584
7.6%
2 548
7.2%
1 521
6.8%
4 502
 
6.6%
7 410
 
5.4%
8 387
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1278
16.7%
- 1269
16.6%
3 1028
13.5%
5 728
9.5%
6 584
7.6%
2 548
7.2%
1 521
6.8%
4 502
 
6.6%
7 410
 
5.4%
8 387
 
5.1%

소재지도로명주소
Text

MISSING 

Distinct534
Distinct (%)90.1%
Missing44
Missing (%)6.9%
Memory size5.1 KiB
2024-05-04T08:16:47.299327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length20.718381
Min length14

Characters and Unicode

Total characters12286
Distinct characters322
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

Unique479 ?
Unique (%)80.8%

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 (%)
전라북도 84
 
3.0%
경상남도 69
 
2.5%
전라남도 59
 
2.1%
경기도 54
 
1.9%
강원도 48
 
1.7%
경상북도 44
 
1.6%
강원특별자치도 38
 
1.4%
충청남도 30
 
1.1%
중구 28
 
1.0%
부산광역시 27
 
1.0%
Other values (1221) 2292
82.7%
2024-05-04T08:16:48.357347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2180
 
17.7%
도 523
 
4.3%
로 480
 
3.9%
시 409
 
3.3%
1 400
 
3.3%
2 247
 
2.0%
남 223
 
1.8%
군 214
 
1.7%
북 203
 
1.7%
면 202
 
1.6%
Other values (312) 7205
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8026
65.3%
Space Separator 2180
 
17.7%
Decimal Number 1831
 
14.9%
Dash Punctuation 98
 
0.8%
Close Punctuation 69
 
0.6%
Open Punctuation 69
 
0.6%
Other Punctuation 9
 
0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 523
 
6.5%
로 480
 
6.0%
시 409
 
5.1%
남 223
 
2.8%
군 214
 
2.7%
북 203
 
2.5%
면 202
 
2.5%
구 198
 
2.5%
경 194
 
2.4%
산 182
 
2.3%
Other values (293) 5198
64.8%
Decimal Number
ValueCountFrequency (%)
1 400
21.8%
2 247
13.5%
3 188
10.3%
0 171
9.3%
5 157
 
8.6%
6 151
 
8.2%
7 148
 
8.1%
4 143
 
7.8%
8 116
 
6.3%
9 110
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
O 1
25.0%
E 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8026
65.3%
Common 4256
34.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 523
 
6.5%
로 480
 
6.0%
시 409
 
5.1%
남 223
 
2.8%
군 214
 
2.7%
북 203
 
2.5%
면 202
 
2.5%
구 198
 
2.5%
경 194
 
2.4%
산 182
 
2.3%
Other values (293) 5198
64.8%
Common
ValueCountFrequency (%)
2180
51.2%
1 400
 
9.4%
2 247
 
5.8%
3 188
 
4.4%
0 171
 
4.0%
5 157
 
3.7%
6 151
 
3.5%
7 148
 
3.5%
4 143
 
3.4%
8 116
 
2.7%
Other values (6) 355
 
8.3%
Latin
ValueCountFrequency (%)
C 2
50.0%
O 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8026
65.3%
ASCII 4260
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2180
51.2%
1 400
 
9.4%
2 247
 
5.8%
3 188
 
4.4%
0 171
 
4.0%
5 157
 
3.7%
6 151
 
3.5%
7 148
 
3.5%
4 143
 
3.4%
8 116
 
2.7%
Other values (9) 359
 
8.4%
Hangul
ValueCountFrequency (%)
도 523
 
6.5%
로 480
 
6.0%
시 409
 
5.1%
남 223
 
2.8%
군 214
 
2.7%
북 203
 
2.5%
면 202
 
2.5%
구 198
 
2.5%
경 194
 
2.4%
산 182
 
2.3%
Other values (293) 5198
64.8%

소재지지번주소
Text

MISSING 

Distinct532
Distinct (%)89.6%
Missing43
Missing (%)6.8%
Memory size5.1 KiB
2024-05-04T08:16:49.095217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length20.360269
Min length14

Characters and Unicode

Total characters12094
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

Unique477 ?
Unique (%)80.3%

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 (%)
전라북도 72
 
2.6%
경상남도 70
 
2.5%
전라남도 65
 
2.3%
경기도 63
 
2.3%
경상북도 47
 
1.7%
강원도 46
 
1.7%
강원특별자치도 37
 
1.3%
충청남도 30
 
1.1%
중구 28
 
1.0%
충청북도 26
 
0.9%
Other values (1283) 2294
82.6%
2024-05-04T08:16:50.303570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2184
 
18.1%
도 506
 
4.2%
1 437
 
3.6%
시 401
 
3.3%
- 359
 
3.0%
동 356
 
2.9%
리 314
 
2.6%
2 307
 
2.5%
3 262
 
2.2%
남 229
 
1.9%
Other values (264) 6739
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7339
60.7%
Decimal Number 2185
 
18.1%
Space Separator 2184
 
18.1%
Dash Punctuation 359
 
3.0%
Other Punctuation 9
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 506
 
6.9%
시 401
 
5.5%
동 356
 
4.9%
리 314
 
4.3%
남 229
 
3.1%
군 214
 
2.9%
경 201
 
2.7%
구 201
 
2.7%
면 200
 
2.7%
북 193
 
2.6%
Other values (245) 4524
61.6%
Decimal Number
ValueCountFrequency (%)
1 437
20.0%
2 307
14.1%
3 262
12.0%
5 193
8.8%
4 178
8.1%
8 177
8.1%
6 176
8.1%
7 159
 
7.3%
9 148
 
6.8%
0 148
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
O 1
25.0%
E 1
25.0%
Space Separator
ValueCountFrequency (%)
2184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 359
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7339
60.7%
Common 4751
39.3%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 506
 
6.9%
시 401
 
5.5%
동 356
 
4.9%
리 314
 
4.3%
남 229
 
3.1%
군 214
 
2.9%
경 201
 
2.7%
구 201
 
2.7%
면 200
 
2.7%
북 193
 
2.6%
Other values (245) 4524
61.6%
Common
ValueCountFrequency (%)
2184
46.0%
1 437
 
9.2%
- 359
 
7.6%
2 307
 
6.5%
3 262
 
5.5%
5 193
 
4.1%
4 178
 
3.7%
8 177
 
3.7%
6 176
 
3.7%
7 159
 
3.3%
Other values (6) 319
 
6.7%
Latin
ValueCountFrequency (%)
C 2
50.0%
O 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7339
60.7%
ASCII 4755
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2184
45.9%
1 437
 
9.2%
- 359
 
7.5%
2 307
 
6.5%
3 262
 
5.5%
5 193
 
4.1%
4 178
 
3.7%
8 177
 
3.7%
6 176
 
3.7%
7 159
 
3.3%
Other values (9) 323
 
6.8%
Hangul
ValueCountFrequency (%)
도 506
 
6.9%
시 401
 
5.5%
동 356
 
4.9%
리 314
 
4.3%
남 229
 
3.1%
군 214
 
2.9%
경 201
 
2.7%
구 201
 
2.7%
면 200
 
2.7%
북 193
 
2.6%
Other values (245) 4524
61.6%

운영기관명
Text

Distinct203
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:16:51.057906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length9
Mean length9.2417582
Min length3

Characters and Unicode

Total characters5887
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 85
 
7.0%
경상남도 67
 
5.6%
전라남도 63
 
5.2%
경상북도 53
 
4.4%
경기도 46
 
3.8%
강원도 45
 
3.7%
강원특별자치도 32
 
2.7%
충청남도 27
 
2.2%
충청북도 26
 
2.2%
서울특별시 19
 
1.6%
Other values (193) 744
61.6%
2024-05-04T08:16:52.212679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
583
 
9.9%
청 562
 
9.5%
도 485
 
8.2%
시 397
 
6.7%
군 225
 
3.8%
광 184
 
3.1%
경 183
 
3.1%
전 182
 
3.1%
북 181
 
3.1%
남 180
 
3.1%
Other values (159) 2725
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5273
89.6%
Space Separator 583
 
9.9%
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 562
 
10.7%
도 485
 
9.2%
시 397
 
7.5%
군 225
 
4.3%
광 184
 
3.5%
경 183
 
3.5%
전 182
 
3.5%
북 181
 
3.4%
남 180
 
3.4%
라 149
 
2.8%
Other values (152) 2545
48.3%
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 5273
89.6%
Common 610
 
10.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 562
 
10.7%
도 485
 
9.2%
시 397
 
7.5%
군 225
 
4.3%
광 184
 
3.5%
경 183
 
3.5%
전 182
 
3.5%
북 181
 
3.4%
남 180
 
3.4%
라 149
 
2.8%
Other values (152) 2545
48.3%
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 5273
89.6%
ASCII 614
 
10.4%

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 562
 
10.7%
도 485
 
9.2%
시 397
 
7.5%
군 225
 
4.3%
광 184
 
3.5%
경 183
 
3.5%
전 182
 
3.5%
북 181
 
3.4%
남 180
 
3.4%
라 149
 
2.8%
Other values (152) 2545
48.3%

홈페이지주소
Text

MISSING 

Distinct140
Distinct (%)30.4%
Missing177
Missing (%)27.8%
Memory size5.1 KiB
2024-05-04T08:16:52.741739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length66
Mean length36.558696
Min length2

Characters and Unicode

Total characters16817
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 (%)12.0%

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://tour.jeonju.go.kr 14
 
3.0%
http://www.yeosu.go.kr/tour 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://www.swcf.or.kr 10
 
2.2%
http://www.ongjin.go.kr/open_content/tour 10
 
2.2%
http://itour.incheon.go.kr 10
 
2.2%
http://www.daegutravel.or.kr 10
 
2.2%
Other values (129) 344
74.5%
2024-05-04T08:16:53.846184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1469
 
8.7%
t 1384
 
8.2%
/ 1371
 
8.2%
o 1257
 
7.5%
w 1026
 
6.1%
r 939
 
5.6%
0 858
 
5.1%
g 772
 
4.6%
n 702
 
4.2%
u 687
 
4.1%
Other values (50) 6352
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11403
67.8%
Other Punctuation 3371
 
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 1384
12.1%
o 1257
11.0%
w 1026
 
9.0%
r 939
 
8.2%
g 772
 
6.8%
n 702
 
6.2%
u 687
 
6.0%
h 592
 
5.2%
e 555
 
4.9%
p 491
 
4.3%
Other values (15) 2998
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 (%)
. 1469
43.6%
/ 1371
40.7%
: 394
 
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 11697
69.6%
Common 5118
30.4%
Hangul 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1384
11.8%
o 1257
 
10.7%
w 1026
 
8.8%
r 939
 
8.0%
g 772
 
6.6%
n 702
 
6.0%
u 687
 
5.9%
h 592
 
5.1%
e 555
 
4.7%
p 491
 
4.2%
Other values (28) 3292
28.1%
Common
ValueCountFrequency (%)
. 1469
28.7%
/ 1371
26.8%
0 858
16.8%
: 394
 
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 16815
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1469
 
8.7%
t 1384
 
8.2%
/ 1371
 
8.2%
o 1257
 
7.5%
w 1026
 
6.1%
r 939
 
5.6%
0 858
 
5.1%
g 772
 
4.6%
n 702
 
4.2%
u 687
 
4.1%
Other values (48) 6350
37.8%
Hangul
ValueCountFrequency (%)
없 1
50.0%
음 1
50.0%

위도
Real number (ℝ)

Distinct537
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.244186
Minimum33.237994
Maximum38.514386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-05-04T08:16:54.314364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.237994
5-th percentile34.75149
Q135.284687
median35.975293
Q337.294067
95-th percentile38.044343
Maximum38.514386
Range5.2763921
Interquartile range (IQR)2.0093801

Descriptive statistics

Standard deviation1.1325712
Coefficient of variation (CV)0.031248356
Kurtosis-0.90978666
Mean36.244186
Median Absolute Deviation (MAD)0.88311122
Skewness0.031732964
Sum23087.546
Variance1.2827176
MonotonicityNot monotonic
2024-05-04T08:16:55.095502image/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%
35.168269611 3
 
0.5%
35.98250016 3
 
0.5%
37.440412 2
 
0.3%
35.737491 2
 
0.3%
37.51024162 2
 
0.3%
35.815519 2
 
0.3%
37.1288581741 2
 
0.3%
35.834497 2
 
0.3%
Other values (527) 611
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)

Distinct540
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.74257
Minimum124.72173
Maximum130.90975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-05-04T08:16:55.556199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.72173
5-th percentile126.4478
Q1126.99469
median127.65086
Q3128.58735
95-th percentile129.15863
Maximum130.90975
Range6.1880247
Interquartile range (IQR)1.5926619

Descriptive statistics

Standard deviation0.93004131
Coefficient of variation (CV)0.0072805902
Kurtosis-0.60495553
Mean127.74257
Median Absolute Deviation (MAD)0.7709861
Skewness0.21863963
Sum81372.017
Variance0.86497683
MonotonicityNot monotonic
2024-05-04T08:16:56.265586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1634706 4
 
0.6%
126.7026295 4
 
0.6%
128.9464763094 3
 
0.5%
129.167956 2
 
0.3%
126.7075393 2
 
0.3%
128.2053991524 2
 
0.3%
127.1501202 2
 
0.3%
127.1292818 2
 
0.3%
127.1210312 2
 
0.3%
128.5931366 2
 
0.3%
Other values (530) 612
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

Distinct144
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2019-09-30 00:00:00
Maximum2024-04-03 00:00:00
2024-05-04T08:16:57.005017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:16:57.559700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct203
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:16:58.371084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters4459
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%
5330000 11
 
1.7%
5670000 11
 
1.7%
6280000 10
 
1.6%
3740000 10
 
1.6%
3580000 10
 
1.6%
4820000 9
 
1.4%
4750000 9
 
1.4%
3010000 9
 
1.4%
Other values (193) 530
83.2%
2024-05-04T08:16:59.538415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2550
57.2%
4 456
 
10.2%
5 272
 
6.1%
3 243
 
5.4%
1 239
 
5.4%
6 166
 
3.7%
7 157
 
3.5%
2 155
 
3.5%
8 125
 
2.8%
9 82
 
1.8%
Other values (2) 14
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4445
99.7%
Uppercase Letter 14
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2550
57.4%
4 456
 
10.3%
5 272
 
6.1%
3 243
 
5.5%
1 239
 
5.4%
6 166
 
3.7%
7 157
 
3.5%
2 155
 
3.5%
8 125
 
2.8%
9 82
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
50.0%
A 7
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4445
99.7%
Latin 14
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2550
57.4%
4 456
 
10.3%
5 272
 
6.1%
3 243
 
5.5%
1 239
 
5.4%
6 166
 
3.7%
7 157
 
3.5%
2 155
 
3.5%
8 125
 
2.8%
9 82
 
1.8%
Latin
ValueCountFrequency (%)
B 7
50.0%
A 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2550
57.2%
4 456
 
10.2%
5 272
 
6.1%
3 243
 
5.4%
1 239
 
5.4%
6 166
 
3.7%
7 157
 
3.5%
2 155
 
3.5%
8 125
 
2.8%
9 82
 
1.8%
Other values (2) 14
 
0.3%

제공기관명
Text

Distinct203
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-04T08:17:00.306890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.1428571
Min length4

Characters and Unicode

Total characters5187
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
 
5.4%
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 27
 
2.2%
Other values (165) 710
58.5%
2024-05-04T08:17:01.736750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
577
 
11.1%
도 520
 
10.0%
시 422
 
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) 2403
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4610
88.9%
Space Separator 577
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 520
 
11.3%
시 422
 
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) 2284
49.5%
Space Separator
ValueCountFrequency (%)
577
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4610
88.9%
Common 577
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 520
 
11.3%
시 422
 
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) 2284
49.5%
Common
ValueCountFrequency (%)
577
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4610
88.9%
ASCII 577
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
577
100.0%
Hangul
ValueCountFrequency (%)
도 520
 
11.3%
시 422
 
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) 2284
49.5%

Sample

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627왕궁유적유물전시관내전라북도익산시관광정보+안내휠체어 대여월09:0018:0009:0018:005.0Y<NA>063-859-4799전라북도 익산시 왕궁면 궁성로 666<NA>전라북도 익산시청<NA>35.97156127.055812023-09-044681000전북특별자치도 익산시
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629익산역여행센터내전라북도익산시관광정보+안내<NA>토+일+공휴일09:0018:0009:0018:001.0Y<NA>063-859-3825전라북도 익산시 익산대로 153<NA>전라북도 익산시청<NA>35.941867126.9473082023-09-044681000전북특별자치도 익산시
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