Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows28
Duplicate rows (%)0.3%
Total size in memory625.0 KiB
Average record size in memory64.0 B

Variable types

Categorical3
Text4

Dataset

Description강원특별자치도 지역화폐(강원상품권)의 사용처(종이형 및 모바일형 가맹점)에 대한 데이터를 제공합니다. - 제공 데이터 : 상품권 유형, 소재지 도, 소재지 시군, 가맹점명, 업종, 연락처, 가맹점 주소 등
URLhttps://www.data.go.kr/data/15033669/fileData.do

Alerts

도 has constant value ""Constant
Dataset has 28 (0.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 15:05:17.846076
Analysis finished2023-12-12 15:05:19.336381
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
모바일
8053 
종이형
1947 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종이형
2nd row모바일
3rd row모바일
4th row모바일
5th row모바일

Common Values

ValueCountFrequency (%)
모바일 8053
80.5%
종이형 1947
 
19.5%

Length

2023-12-13T00:05:19.402834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:05:19.503046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모바일 8053
80.5%
종이형 1947
 
19.5%

도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강원특별자치도
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 10000
100.0%

Length

2023-12-13T00:05:19.695861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:05:19.788877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 10000
100.0%

시군
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원주시
2177 
춘천시
1935 
강릉시
1515 
속초시
608 
동해시
586 
Other values (13)
3179 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row춘천시
2nd row춘천시
3rd row원주시
4th row속초시
5th row화천군

Common Values

ValueCountFrequency (%)
원주시 2177
21.8%
춘천시 1935
19.4%
강릉시 1515
15.2%
속초시 608
 
6.1%
동해시 586
 
5.9%
홍천군 385
 
3.9%
삼척시 359
 
3.6%
횡성군 337
 
3.4%
평창군 286
 
2.9%
정선군 277
 
2.8%
Other values (8) 1535
15.3%

Length

2023-12-13T00:05:19.902443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주시 2177
21.8%
춘천시 1935
19.4%
강릉시 1515
15.2%
속초시 608
 
6.1%
동해시 586
 
5.9%
홍천군 385
 
3.9%
삼척시 359
 
3.6%
횡성군 337
 
3.4%
평창군 286
 
2.9%
정선군 277
 
2.8%
Other values (8) 1535
15.3%

업체명
Text

Distinct9524
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:05:20.250924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length6.8628
Min length1

Characters and Unicode

Total characters68628
Distinct characters1081
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9303 ?
Unique (%)93.0%

Sample

1st row김은주헤어케어
2nd row코지샵
3rd row개인택시
4th row으뜸건설주식회사
5th row캠핑 n 펜션
ValueCountFrequency (%)
개인택시 236
 
1.9%
세븐일레븐 88
 
0.7%
㈜비지에프네트웍스 85
 
0.7%
아모레 81
 
0.7%
주식회사 78
 
0.6%
gs25 60
 
0.5%
씨유 54
 
0.4%
postbox 53
 
0.4%
gs 53
 
0.4%
이마트24 39
 
0.3%
Other values (10370) 11572
93.3%
2023-12-13T00:05:20.841697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2400
 
3.5%
점 1640
 
2.4%
원 1247
 
1.8%
이 1204
 
1.8%
스 1133
 
1.7%
리 895
 
1.3%
주 788
 
1.1%
사 710
 
1.0%
동 649
 
0.9%
강 647
 
0.9%
Other values (1071) 57315
83.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60147
87.6%
Space Separator 2400
 
3.5%
Uppercase Letter 1662
 
2.4%
Decimal Number 1486
 
2.2%
Lowercase Letter 1156
 
1.7%
Close Punctuation 615
 
0.9%
Open Punctuation 614
 
0.9%
Other Punctuation 245
 
0.4%
Connector Punctuation 188
 
0.3%
Other Symbol 92
 
0.1%
Other values (4) 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1640
 
2.7%
원 1247
 
2.1%
이 1204
 
2.0%
스 1133
 
1.9%
리 895
 
1.5%
주 788
 
1.3%
사 710
 
1.2%
동 649
 
1.1%
강 647
 
1.1%
인 640
 
1.1%
Other values (979) 50594
84.1%
Uppercase Letter
ValueCountFrequency (%)
S 257
15.5%
G 210
 
12.6%
A 95
 
5.7%
C 93
 
5.6%
E 90
 
5.4%
N 73
 
4.4%
O 68
 
4.1%
I 67
 
4.0%
V 62
 
3.7%
M 61
 
3.7%
Other values (16) 586
35.3%
Lowercase Letter
ValueCountFrequency (%)
o 182
15.7%
s 104
 
9.0%
t 98
 
8.5%
e 85
 
7.4%
b 76
 
6.6%
p 73
 
6.3%
a 64
 
5.5%
x 54
 
4.7%
n 47
 
4.1%
i 44
 
3.8%
Other values (16) 329
28.5%
Other Punctuation
ValueCountFrequency (%)
* 81
33.1%
& 57
23.3%
. 36
14.7%
, 29
 
11.8%
． 9
 
3.7%
' 8
 
3.3%
/ 8
 
3.3%
， 5
 
2.0%
# 4
 
1.6%
＆ 2
 
0.8%
Other values (4) 6
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 356
24.0%
2 325
21.9%
3 164
11.0%
5 162
10.9%
4 117
 
7.9%
0 109
 
7.3%
7 67
 
4.5%
8 62
 
4.2%
9 62
 
4.2%
6 56
 
3.8%
Other values (3) 6
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
＞ 1
33.3%
＜ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 584
95.1%
（ 30
 
4.9%
Close Punctuation
ValueCountFrequency (%)
) 579
94.1%
） 36
 
5.9%
Space Separator
ValueCountFrequency (%)
2400
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 188
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60231
87.8%
Common 5571
 
8.1%
Latin 2818
 
4.1%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1640
 
2.7%
원 1247
 
2.1%
이 1204
 
2.0%
스 1133
 
1.9%
리 895
 
1.5%
주 788
 
1.3%
사 710
 
1.2%
동 649
 
1.1%
강 647
 
1.1%
인 640
 
1.1%
Other values (973) 50678
84.1%
Latin
ValueCountFrequency (%)
S 257
 
9.1%
G 210
 
7.5%
o 182
 
6.5%
s 104
 
3.7%
t 98
 
3.5%
A 95
 
3.4%
C 93
 
3.3%
E 90
 
3.2%
e 85
 
3.0%
b 76
 
2.7%
Other values (42) 1528
54.2%
Common
ValueCountFrequency (%)
2400
43.1%
( 584
 
10.5%
) 579
 
10.4%
1 356
 
6.4%
2 325
 
5.8%
_ 188
 
3.4%
3 164
 
2.9%
5 162
 
2.9%
4 117
 
2.1%
0 109
 
2.0%
Other values (29) 587
 
10.5%
Han
ValueCountFrequency (%)
在 2
25.0%
秀 1
12.5%
休 1
12.5%
情 1
12.5%
美 1
12.5%
海 1
12.5%
福 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60137
87.6%
ASCII 8297
 
12.1%
None 183
 
0.3%
CJK 8
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2400
28.9%
( 584
 
7.0%
) 579
 
7.0%
1 356
 
4.3%
2 325
 
3.9%
S 257
 
3.1%
G 210
 
2.5%
_ 188
 
2.3%
o 182
 
2.2%
3 164
 
2.0%
Other values (69) 3052
36.8%
Hangul
ValueCountFrequency (%)
점 1640
 
2.7%
원 1247
 
2.1%
이 1204
 
2.0%
스 1133
 
1.9%
리 895
 
1.5%
주 788
 
1.3%
사 710
 
1.2%
동 649
 
1.1%
강 647
 
1.1%
인 640
 
1.1%
Other values (970) 50584
84.1%
None
ValueCountFrequency (%)
㈜ 92
50.3%
） 36
 
19.7%
（ 30
 
16.4%
． 9
 
4.9%
， 5
 
2.7%
１ 4
 
2.2%
＆ 2
 
1.1%
· 1
 
0.5%
９ 1
 
0.5%
＞ 1
 
0.5%
Other values (2) 2
 
1.1%
CJK
ValueCountFrequency (%)
在 2
25.0%
秀 1
12.5%
休 1
12.5%
情 1
12.5%
美 1
12.5%
海 1
12.5%
福 1
12.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
50.0%
ㄱ 1
50.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

업종
Text

Distinct335
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:05:21.222425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length10.172
Min length2

Characters and Unicode

Total characters101720
Distinct characters291
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)0.9%

Sample

1st row미용실,미용자재판매
2nd row섬유, 직물 및 의복 액세서리 소매업
3rd row부정기 육상 여객 운송업
4th row토목 시설물 건설업
5th row일반 및 생활 숙박시설 운영업
ValueCountFrequency (%)
및 2279
 
8.0%
음식점업 2158
 
7.5%
소매업 2069
 
7.2%
한식 1483
 
5.2%
기타 1264
 
4.4%
일반음식점 864
 
3.0%
종합 617
 
2.2%
음ㆍ식료품 540
 
1.9%
위주 540
 
1.9%
운송업 504
 
1.8%
Other values (511) 16271
56.9%
2023-12-13T00:05:21.644936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18589
 
18.3%
업 7666
 
7.5%
식 6031
 
5.9%
음 3992
 
3.9%
점 3672
 
3.6%
매 2645
 
2.6%
품 2548
 
2.5%
기 2415
 
2.4%
소 2375
 
2.3%
및 2279
 
2.2%
Other values (281) 49508
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81226
79.9%
Space Separator 18589
 
18.3%
Other Punctuation 1888
 
1.9%
Uppercase Letter 16
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 7666
 
9.4%
식 6031
 
7.4%
음 3992
 
4.9%
점 3672
 
4.5%
매 2645
 
3.3%
품 2548
 
3.1%
기 2415
 
3.0%
소 2375
 
2.9%
및 2279
 
2.8%
용 1956
 
2.4%
Other values (276) 45647
56.2%
Uppercase Letter
ValueCountFrequency (%)
P 8
50.0%
C 8
50.0%
Space Separator
ValueCountFrequency (%)
18589
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1888
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81226
79.9%
Common 20478
 
20.1%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 7666
 
9.4%
식 6031
 
7.4%
음 3992
 
4.9%
점 3672
 
4.5%
매 2645
 
3.3%
품 2548
 
3.1%
기 2415
 
3.0%
소 2375
 
2.9%
및 2279
 
2.8%
용 1956
 
2.4%
Other values (276) 45647
56.2%
Common
ValueCountFrequency (%)
18589
90.8%
, 1888
 
9.2%
1 1
 
< 0.1%
Latin
ValueCountFrequency (%)
P 8
50.0%
C 8
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80583
79.2%
ASCII 20494
 
20.1%
Compat Jamo 643
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18589
90.7%
, 1888
 
9.2%
P 8
 
< 0.1%
C 8
 
< 0.1%
1 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 7666
 
9.5%
식 6031
 
7.5%
음 3992
 
5.0%
점 3672
 
4.6%
매 2645
 
3.3%
품 2548
 
3.2%
기 2415
 
3.0%
소 2375
 
2.9%
및 2279
 
2.8%
용 1956
 
2.4%
Other values (275) 45004
55.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 643
100.0%

연락처
Text

Distinct5174
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:05:21.905564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.7425
Min length7

Characters and Unicode

Total characters97425
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5028 ?
Unique (%)50.3%

Sample

1st row033-243-2977
2nd row연락처 미기입
3rd row연락처 미기입
4th row033-633-4135
5th row연락처 미기입
ValueCountFrequency (%)
연락처 4519
31.1%
미기입 4519
31.1%
026-040-5114 81
 
0.6%
020-000-0000 17
 
0.1%
033-254-2961 15
 
0.1%
033-261-5092 11
 
0.1%
033-254-5115 10
 
0.1%
033-254-2110 8
 
0.1%
033-252-4551 6
 
< 0.1%
033-254-6768 6
 
< 0.1%
Other values (5165) 5327
36.7%
2023-12-13T00:05:22.270749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 15404
15.8%
- 10961
 
11.3%
0 8588
 
8.8%
2 4852
 
5.0%
4 4785
 
4.9%
5 4711
 
4.8%
연 4519
 
4.6%
처 4519
 
4.6%
4519
 
4.6%
미 4519
 
4.6%
Other values (8) 30048
30.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54831
56.3%
Other Letter 27114
27.8%
Dash Punctuation 10961
 
11.3%
Space Separator 4519
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 15404
28.1%
0 8588
15.7%
2 4852
 
8.8%
4 4785
 
8.7%
5 4711
 
8.6%
6 4395
 
8.0%
7 4005
 
7.3%
1 3304
 
6.0%
8 2644
 
4.8%
9 2143
 
3.9%
Other Letter
ValueCountFrequency (%)
연 4519
16.7%
처 4519
16.7%
미 4519
16.7%
기 4519
16.7%
입 4519
16.7%
락 4519
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 10961
100.0%
Space Separator
ValueCountFrequency (%)
4519
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70311
72.2%
Hangul 27114
 
27.8%

Most frequent character per script

Common
ValueCountFrequency (%)
3 15404
21.9%
- 10961
15.6%
0 8588
12.2%
2 4852
 
6.9%
4 4785
 
6.8%
5 4711
 
6.7%
4519
 
6.4%
6 4395
 
6.3%
7 4005
 
5.7%
1 3304
 
4.7%
Other values (2) 4787
 
6.8%
Hangul
ValueCountFrequency (%)
연 4519
16.7%
처 4519
16.7%
미 4519
16.7%
기 4519
16.7%
입 4519
16.7%
락 4519
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70311
72.2%
Hangul 27114
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 15404
21.9%
- 10961
15.6%
0 8588
12.2%
2 4852
 
6.9%
4 4785
 
6.8%
5 4711
 
6.7%
4519
 
6.4%
6 4395
 
6.3%
7 4005
 
5.7%
1 3304
 
4.7%
Other values (2) 4787
 
6.8%
Hangul
ValueCountFrequency (%)
연 4519
16.7%
처 4519
16.7%
미 4519
16.7%
기 4519
16.7%
입 4519
16.7%
락 4519
16.7%

소재지주소
Text

Distinct9047
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:05:22.642327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length55
Mean length25.6477
Min length11

Characters and Unicode

Total characters256477
Distinct characters660
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8476 ?
Unique (%)84.8%

Sample

1st row강원특별자치도 춘천시 영서로2151번길 4(퇴계동)
2nd row강원특별자치도 춘천시 행촌로 46 (퇴계동)
3rd row강원특별자치도 원주시 남원로527번길 6-19 (명륜동)
4th row강원특별자치도 속초시 설악산로 850
5th row강원특별자치도 화천군 화천읍 산수화로 119-17 캠핑n펜션
ValueCountFrequency (%)
강원특별자치도 10017
 
20.6%
원주시 2178
 
4.5%
춘천시 1929
 
4.0%
강릉시 1521
 
3.1%
속초시 608
 
1.2%
동해시 587
 
1.2%
홍천군 385
 
0.8%
삼척시 359
 
0.7%
횡성군 338
 
0.7%
평창군 287
 
0.6%
Other values (7897) 30466
62.6%
2023-12-13T00:05:23.229920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38678
 
15.1%
원 13387
 
5.2%
강 12196
 
4.8%
자 10282
 
4.0%
도 10233
 
4.0%
치 10197
 
4.0%
별 10022
 
3.9%
특 10019
 
3.9%
시 7959
 
3.1%
1 7918
 
3.1%
Other values (650) 125586
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171545
66.9%
Space Separator 38678
 
15.1%
Decimal Number 33151
 
12.9%
Close Punctuation 4706
 
1.8%
Open Punctuation 4705
 
1.8%
Dash Punctuation 2501
 
1.0%
Other Punctuation 1077
 
0.4%
Uppercase Letter 76
 
< 0.1%
Lowercase Letter 32
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 13387
 
7.8%
강 12196
 
7.1%
자 10282
 
6.0%
도 10233
 
6.0%
치 10197
 
5.9%
별 10022
 
5.8%
특 10019
 
5.8%
시 7959
 
4.6%
로 6851
 
4.0%
동 6419
 
3.7%
Other values (592) 73980
43.1%
Uppercase Letter
ValueCountFrequency (%)
L 11
14.5%
B 10
13.2%
A 10
13.2%
C 8
10.5%
H 8
10.5%
S 5
6.6%
D 4
 
5.3%
K 4
 
5.3%
E 4
 
5.3%
G 3
 
3.9%
Other values (7) 9
11.8%
Decimal Number
ValueCountFrequency (%)
1 7918
23.9%
2 4951
14.9%
3 3502
10.6%
4 3026
 
9.1%
5 2655
 
8.0%
6 2521
 
7.6%
7 2347
 
7.1%
0 2284
 
6.9%
8 2028
 
6.1%
9 1905
 
5.7%
Other values (5) 14
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
28.1%
o 4
12.5%
t 4
12.5%
i 2
 
6.2%
d 2
 
6.2%
s 2
 
6.2%
u 2
 
6.2%
k 2
 
6.2%
c 2
 
6.2%
n 1
 
3.1%
Other values (2) 2
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 1057
98.1%
. 11
 
1.0%
& 4
 
0.4%
/ 2
 
0.2%
@ 2
 
0.2%
* 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4705
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4704
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
38678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2501
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171545
66.9%
Common 84824
33.1%
Latin 108
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 13387
 
7.8%
강 12196
 
7.1%
자 10282
 
6.0%
도 10233
 
6.0%
치 10197
 
5.9%
별 10022
 
5.8%
특 10019
 
5.8%
시 7959
 
4.6%
로 6851
 
4.0%
동 6419
 
3.7%
Other values (592) 73980
43.1%
Common
ValueCountFrequency (%)
38678
45.6%
1 7918
 
9.3%
2 4951
 
5.8%
) 4705
 
5.5%
( 4704
 
5.5%
3 3502
 
4.1%
4 3026
 
3.6%
5 2655
 
3.1%
6 2521
 
3.0%
- 2501
 
2.9%
Other values (19) 9663
 
11.4%
Latin
ValueCountFrequency (%)
L 11
 
10.2%
B 10
 
9.3%
A 10
 
9.3%
e 9
 
8.3%
C 8
 
7.4%
H 8
 
7.4%
S 5
 
4.6%
D 4
 
3.7%
K 4
 
3.7%
o 4
 
3.7%
Other values (19) 35
32.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171544
66.9%
ASCII 84918
33.1%
None 14
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38678
45.5%
1 7918
 
9.3%
2 4951
 
5.8%
) 4705
 
5.5%
( 4704
 
5.5%
3 3502
 
4.1%
4 3026
 
3.6%
5 2655
 
3.1%
6 2521
 
3.0%
- 2501
 
2.9%
Other values (43) 9757
 
11.5%
Hangul
ValueCountFrequency (%)
원 13387
 
7.8%
강 12196
 
7.1%
자 10282
 
6.0%
도 10233
 
6.0%
치 10197
 
5.9%
별 10022
 
5.8%
특 10019
 
5.8%
시 7959
 
4.6%
로 6851
 
4.0%
동 6419
 
3.7%
Other values (591) 73979
43.1%
None
ValueCountFrequency (%)
２ 4
28.6%
１ 3
21.4%
３ 3
21.4%
０ 3
21.4%
４ 1
 
7.1%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
100.0%

Correlations

2023-12-13T00:05:23.338398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형시군
유형1.0000.223
시군0.2231.000
2023-12-13T00:05:23.429187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형시군
유형1.0000.175
시군0.1751.000
2023-12-13T00:05:23.513300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형시군
유형1.0000.175
시군0.1751.000

Missing values

2023-12-13T00:05:19.149600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:05:19.275907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

유형도시군업체명업종연락처소재지주소
79394종이형강원특별자치도춘천시김은주헤어케어미용실,미용자재판매033-243-2977강원특별자치도 춘천시 영서로2151번길 4(퇴계동)
52332모바일강원특별자치도춘천시코지샵섬유, 직물 및 의복 액세서리 소매업연락처 미기입강원특별자치도 춘천시 행촌로 46 (퇴계동)
6894모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 남원로527번길 6-19 (명륜동)
65033모바일강원특별자치도속초시으뜸건설주식회사토목 시설물 건설업033-633-4135강원특별자치도 속초시 설악산로 850
40688모바일강원특별자치도화천군캠핑 n 펜션일반 및 생활 숙박시설 운영업연락처 미기입강원특별자치도 화천군 화천읍 산수화로 119-17 캠핑n펜션
72454종이형강원특별자치도동해시미연미용실미용실,미용자재판매033-533-1241강원특별자치도 동해시 중앙시장길 6-1(발한동)
37792모바일강원특별자치도원주시우체국물류지원단그 외 기타 사업 지원 서비스업연락처 미기입강원특별자치도 원주시 이화3길 27 원주우편집중국
26501모바일강원특별자치도원주시IVY TUITION일반 교습학원연락처 미기입강원특별자치도 원주시 남원로469번길 13-28, 2층 201호(명륜동)
65354모바일강원특별자치도원주시주식회사 감정평가법인태백강원지사부동산 중개, 자문 및 감정 평가업연락처 미기입강원특별자치도 원주시 입춘로 45
15701모바일강원특별자치도속초시신가횟집외국식 음식점업033-635-7339강원특별자치도 속초시 동명항길 45 (동명동)
유형도시군업체명업종연락처소재지주소
82968종이형강원특별자치도춘천시샤브마니아춘천점일반음식점033-262-0854강원특별자치도 춘천시 동면 춘천순환로 344
14237모바일강원특별자치도원주시새천년제일식품식료품 소매업033-766-3450강원특별자치도 원주시 단구로 292 (단구동)
64278모바일강원특별자치도원주시손곡마을매점그 외 기타 상품 전문 소매업연락처 미기입강원특별자치도 원주시 부론면 법후로 418
14273모바일강원특별자치도정선군샛별철물철물, 공구, 창호 및 건설자재 소매업033-562-6162강원특별자치도 정선군 화암면 그림바위길 43
79935종이형강원특별자치도동해시한우서서갈비일반음식점033-535-0339강원특별자치도 동해시 감추로 26(천곡동)
3424모바일강원특별자치도원주시크리스피크림도넛 원주무실점기타 간이 음식점업033-746-1937강원특별자치도 원주시 능라동길 59
59623모바일강원특별자치도원주시세븐일레븐 원주반곡길점음ㆍ식료품 위주 종합 소매업연락처 미기입강원특별자치도 원주시 반곡초교로 18 (반곡동)
12743모바일강원특별자치도인제군방림화원그 외 기타 분류 안된 개인 서비스업033-461-5949강원특별자치도 인제군 인제읍 비봉로 6
72798종이형강원특별자치도강릉시신영석유주유소033-647-3361강원특별자치도 강릉시 노암등길 22
65849모바일강원특별자치도강릉시편백집일반 및 생활 숙박시설 운영업연락처 미기입강원특별자치도 강릉시 사천면 중앙서로 312-38

Duplicate rows

Most frequently occurring

유형도시군업체명업종연락처소재지주소# duplicates
2모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 배울로 50 (반곡동, 푸른숨엘에이치3단지)3
6모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 예술관길 32 (명륜동, 행운아파트)3
14모바일강원특별자치도춘천시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 춘천시 안마산로 2443
0모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 남원로 524 (단구동, 대림아파트)2
1모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 늘품로 120 (단구동, 해청아파트)2
3모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 백간길 16 (단계동, 원주봉화산주공아파트)2
4모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 시청로 40 (무실동, 원주무실7주공아파트)2
5모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 시청로 90 (무실동, 뜨란채아파트)2
7모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 우산공단길 23 (우산동, 신일유토빌)2
8모바일강원특별자치도원주시개인택시부정기 육상 여객 운송업연락처 미기입강원특별자치도 원주시 판부면 남원로 223 (거장2차아파트)2