Overview

Dataset statistics

Number of variables10
Number of observations167
Missing cells72
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory80.8 B

Variable types

Text8
Categorical1
DateTime1

Dataset

Description충청남도 부여군 내 제조업체 등록현황(회사명, 전화번호, 팩스번호, 주소, 업종명, 생산품, 대표자명, 운영구분, 데이터기준일자)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=432&beforeMenuCd=DOM_000000201001001000&publicdatapk=15053310

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 15 (9.0%) missing valuesMissing
팩스번호 has 53 (31.7%) missing valuesMissing
도로명주소 has 3 (1.8%) missing valuesMissing
회사명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:14:57.469518
Analysis finished2024-01-09 23:14:58.395290
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T08:14:58.545183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8
Min length3

Characters and Unicode

Total characters1336
Distinct characters224
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

Unique167 ?
Unique (%)100.0%

Sample

1st row(유)동선이엔씨
2nd row(주) 건영에스피지
3rd row(주)경희산업
4th row(주)계림전설
5th row(주)계림폴리콘
ValueCountFrequency (%)
주식회사 27
 
12.9%
농업회사법인 6
 
2.9%
영농조합법인 2
 
1.0%
부여지점 2
 
1.0%
씨지주식회사 1
 
0.5%
선일수지 1
 
0.5%
정이미터 1
 
0.5%
세계식품 1
 
0.5%
세도석재산업 1
 
0.5%
솔거종합식품 1
 
0.5%
Other values (167) 167
79.5%
2024-01-10T08:14:58.908713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 110
 
8.2%
( 79
 
5.9%
) 79
 
5.9%
사 45
 
3.4%
43
 
3.2%
회 42
 
3.1%
업 39
 
2.9%
식 38
 
2.8%
이 37
 
2.8%
산 29
 
2.2%
Other values (214) 795
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1125
84.2%
Open Punctuation 79
 
5.9%
Close Punctuation 79
 
5.9%
Space Separator 43
 
3.2%
Uppercase Letter 8
 
0.6%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 110
 
9.8%
사 45
 
4.0%
회 42
 
3.7%
업 39
 
3.5%
식 38
 
3.4%
이 37
 
3.3%
산 29
 
2.6%
스 24
 
2.1%
농 23
 
2.0%
인 18
 
1.6%
Other values (202) 720
64.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
12.5%
N 1
12.5%
B 1
12.5%
R 1
12.5%
M 1
12.5%
T 1
12.5%
L 1
12.5%
P 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1125
84.2%
Common 203
 
15.2%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 110
 
9.8%
사 45
 
4.0%
회 42
 
3.7%
업 39
 
3.5%
식 38
 
3.4%
이 37
 
3.3%
산 29
 
2.6%
스 24
 
2.1%
농 23
 
2.0%
인 18
 
1.6%
Other values (202) 720
64.0%
Latin
ValueCountFrequency (%)
F 1
12.5%
N 1
12.5%
B 1
12.5%
R 1
12.5%
M 1
12.5%
T 1
12.5%
L 1
12.5%
P 1
12.5%
Common
ValueCountFrequency (%)
( 79
38.9%
) 79
38.9%
43
21.2%
. 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
84.2%
ASCII 211
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 110
 
9.8%
사 45
 
4.0%
회 42
 
3.7%
업 39
 
3.5%
식 38
 
3.4%
이 37
 
3.3%
산 29
 
2.6%
스 24
 
2.1%
농 23
 
2.0%
인 18
 
1.6%
Other values (202) 720
64.0%
ASCII
ValueCountFrequency (%)
( 79
37.4%
) 79
37.4%
43
20.4%
. 2
 
0.9%
F 1
 
0.5%
N 1
 
0.5%
B 1
 
0.5%
R 1
 
0.5%
M 1
 
0.5%
T 1
 
0.5%
Other values (2) 2
 
0.9%

전화번호
Text

MISSING 

Distinct147
Distinct (%)96.7%
Missing15
Missing (%)9.0%
Memory size1.4 KiB
2024-01-10T08:14:59.153853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.993421
Min length9

Characters and Unicode

Total characters1823
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

Unique142 ?
Unique (%)93.4%

Sample

1st row041-832-2888
2nd row041-835-0030
3rd row041-835-9985
4th row041-833-3865
5th row041-837-0780
ValueCountFrequency (%)
041-835-8555 2
 
1.3%
041-834-0294 2
 
1.3%
041-837-0151 2
 
1.3%
041-832-2888 2
 
1.3%
041-832-1571 2
 
1.3%
041-836-5543 1
 
0.7%
041-837-2468 1
 
0.7%
041-833-9655 1
 
0.7%
062-946-2107 1
 
0.7%
041-836-7044 1
 
0.7%
Other values (137) 137
90.1%
2024-01-10T08:14:59.544928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 303
16.6%
0 265
14.5%
3 215
11.8%
4 213
11.7%
8 208
11.4%
1 205
11.2%
2 103
 
5.7%
7 90
 
4.9%
5 88
 
4.8%
6 88
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1520
83.4%
Dash Punctuation 303
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 265
17.4%
3 215
14.1%
4 213
14.0%
8 208
13.7%
1 205
13.5%
2 103
 
6.8%
7 90
 
5.9%
5 88
 
5.8%
6 88
 
5.8%
9 45
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1823
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 303
16.6%
0 265
14.5%
3 215
11.8%
4 213
11.7%
8 208
11.4%
1 205
11.2%
2 103
 
5.7%
7 90
 
4.9%
5 88
 
4.8%
6 88
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 303
16.6%
0 265
14.5%
3 215
11.8%
4 213
11.7%
8 208
11.4%
1 205
11.2%
2 103
 
5.7%
7 90
 
4.9%
5 88
 
4.8%
6 88
 
4.8%

팩스번호
Text

MISSING 

Distinct111
Distinct (%)97.4%
Missing53
Missing (%)31.7%
Memory size1.4 KiB
2024-01-10T08:14:59.784713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026316
Min length12

Characters and Unicode

Total characters1371
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

Unique108 ?
Unique (%)94.7%

Sample

1st row041-832-2887
2nd row041-835-9983
3rd row041-956-4277
4th row041-834-3865
5th row041-837-0781
ValueCountFrequency (%)
041-833-8503 2
 
1.8%
041-834-7707 2
 
1.8%
041-836-8553 2
 
1.8%
041-834-8443 1
 
0.9%
062-946-2107 1
 
0.9%
041-836-7776 1
 
0.9%
041-835-2275 1
 
0.9%
041-836-2568 1
 
0.9%
041-833-1546 1
 
0.9%
041-832-1359 1
 
0.9%
Other values (101) 101
88.6%
2024-01-10T08:15:00.374829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 228
16.6%
0 178
13.0%
3 173
12.6%
4 166
12.1%
8 156
11.4%
1 153
11.2%
7 73
 
5.3%
2 72
 
5.3%
5 66
 
4.8%
6 62
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1143
83.4%
Dash Punctuation 228
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 178
15.6%
3 173
15.1%
4 166
14.5%
8 156
13.6%
1 153
13.4%
7 73
6.4%
2 72
6.3%
5 66
 
5.8%
6 62
 
5.4%
9 44
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 228
16.6%
0 178
13.0%
3 173
12.6%
4 166
12.1%
8 156
11.4%
1 153
11.2%
7 73
 
5.3%
2 72
 
5.3%
5 66
 
4.8%
6 62
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 228
16.6%
0 178
13.0%
3 173
12.6%
4 166
12.1%
8 156
11.4%
1 153
11.2%
7 73
 
5.3%
2 72
 
5.3%
5 66
 
4.8%
6 62
 
4.5%

도로명주소
Text

MISSING 

Distinct153
Distinct (%)93.3%
Missing3
Missing (%)1.8%
Memory size1.4 KiB
2024-01-10T08:15:00.566860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length24.256098
Min length18

Characters and Unicode

Total characters3978
Distinct characters117
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)89.0%

Sample

1st row충청남도 부여군 장암면 위덕로445번길 40
2nd row충청남도 부여군 규암면 내동로 11
3rd row충청남도 부여군 석성면 증산로 95
4th row충청남도 부여군 은산면 충의로622번길 23
5th row충청남도 부여군 임천면 가림로 618 외 5필지
ValueCountFrequency (%)
충청남도 164
 
17.5%
부여군 164
 
17.5%
외 39
 
4.2%
은산면 30
 
3.2%
석성면 29
 
3.1%
장암면 16
 
1.7%
규암면 16
 
1.7%
초촌면 15
 
1.6%
홍산면 14
 
1.5%
임천면 14
 
1.5%
Other values (237) 435
46.5%
2024-01-10T08:15:00.928394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
772
19.4%
충 203
 
5.1%
부 179
 
4.5%
남 173
 
4.3%
여 172
 
4.3%
도 167
 
4.2%
청 165
 
4.1%
군 165
 
4.1%
면 156
 
3.9%
로 143
 
3.6%
Other values (107) 1683
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2437
61.3%
Space Separator 772
 
19.4%
Decimal Number 681
 
17.1%
Dash Punctuation 55
 
1.4%
Close Punctuation 13
 
0.3%
Open Punctuation 13
 
0.3%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 203
 
8.3%
부 179
 
7.3%
남 173
 
7.1%
여 172
 
7.1%
도 167
 
6.9%
청 165
 
6.8%
군 165
 
6.8%
면 156
 
6.4%
로 143
 
5.9%
지 71
 
2.9%
Other values (92) 843
34.6%
Decimal Number
ValueCountFrequency (%)
2 123
18.1%
1 122
17.9%
4 72
10.6%
3 72
10.6%
5 63
9.3%
6 63
9.3%
0 56
8.2%
7 46
 
6.8%
9 36
 
5.3%
8 28
 
4.1%
Space Separator
ValueCountFrequency (%)
772
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2437
61.3%
Common 1541
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 203
 
8.3%
부 179
 
7.3%
남 173
 
7.1%
여 172
 
7.1%
도 167
 
6.9%
청 165
 
6.8%
군 165
 
6.8%
면 156
 
6.4%
로 143
 
5.9%
지 71
 
2.9%
Other values (92) 843
34.6%
Common
ValueCountFrequency (%)
772
50.1%
2 123
 
8.0%
1 122
 
7.9%
4 72
 
4.7%
3 72
 
4.7%
5 63
 
4.1%
6 63
 
4.1%
0 56
 
3.6%
- 55
 
3.6%
7 46
 
3.0%
Other values (5) 97
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2437
61.3%
ASCII 1541
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
772
50.1%
2 123
 
8.0%
1 122
 
7.9%
4 72
 
4.7%
3 72
 
4.7%
5 63
 
4.1%
6 63
 
4.1%
0 56
 
3.6%
- 55
 
3.6%
7 46
 
3.0%
Other values (5) 97
 
6.3%
Hangul
ValueCountFrequency (%)
충 203
 
8.3%
부 179
 
7.3%
남 173
 
7.1%
여 172
 
7.1%
도 167
 
6.9%
청 165
 
6.8%
군 165
 
6.8%
면 156
 
6.4%
로 143
 
5.9%
지 71
 
2.9%
Other values (92) 843
34.6%

지번주소
Text

Distinct158
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T08:15:01.193077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length24.796407
Min length19

Characters and Unicode

Total characters4141
Distinct characters121
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)89.8%

Sample

1st row충청남도 부여군 장암면 상황리 328-5번지
2nd row충청남도 부여군 규암면 외리 94-2번지
3rd row충청남도 부여군 석성면 증산리 1291-31번지
4th row충청남도 부여군 은산면 충의로622번길 23
5th row충청남도 부여군 임천면 군사리 516번지 외 5필지
ValueCountFrequency (%)
충청남도 167
18.0%
부여군 167
18.0%
외 38
 
4.1%
석성면 30
 
3.2%
은산면 30
 
3.2%
증산리 22
 
2.4%
은산리 17
 
1.8%
장암면 17
 
1.8%
규암면 17
 
1.8%
초촌면 15
 
1.6%
Other values (238) 410
44.1%
2024-01-10T08:15:01.580251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
18.4%
지 189
 
4.6%
부 175
 
4.2%
여 175
 
4.2%
충 172
 
4.2%
군 170
 
4.1%
도 170
 
4.1%
청 169
 
4.1%
남 168
 
4.1%
리 164
 
4.0%
Other values (111) 1826
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2607
63.0%
Space Separator 763
 
18.4%
Decimal Number 656
 
15.8%
Dash Punctuation 106
 
2.6%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 189
 
7.2%
부 175
 
6.7%
여 175
 
6.7%
충 172
 
6.6%
군 170
 
6.5%
도 170
 
6.5%
청 169
 
6.5%
남 168
 
6.4%
리 164
 
6.3%
면 159
 
6.1%
Other values (96) 896
34.4%
Decimal Number
ValueCountFrequency (%)
1 131
20.0%
2 107
16.3%
3 92
14.0%
6 59
9.0%
5 54
8.2%
0 52
 
7.9%
4 49
 
7.5%
7 43
 
6.6%
9 38
 
5.8%
8 31
 
4.7%
Space Separator
ValueCountFrequency (%)
763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2607
63.0%
Common 1534
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 189
 
7.2%
부 175
 
6.7%
여 175
 
6.7%
충 172
 
6.6%
군 170
 
6.5%
도 170
 
6.5%
청 169
 
6.5%
남 168
 
6.4%
리 164
 
6.3%
면 159
 
6.1%
Other values (96) 896
34.4%
Common
ValueCountFrequency (%)
763
49.7%
1 131
 
8.5%
2 107
 
7.0%
- 106
 
6.9%
3 92
 
6.0%
6 59
 
3.8%
5 54
 
3.5%
0 52
 
3.4%
4 49
 
3.2%
7 43
 
2.8%
Other values (5) 78
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2607
63.0%
ASCII 1534
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
763
49.7%
1 131
 
8.5%
2 107
 
7.0%
- 106
 
6.9%
3 92
 
6.0%
6 59
 
3.8%
5 54
 
3.5%
0 52
 
3.4%
4 49
 
3.2%
7 43
 
2.8%
Other values (5) 78
 
5.1%
Hangul
ValueCountFrequency (%)
지 189
 
7.2%
부 175
 
6.7%
여 175
 
6.7%
충 172
 
6.6%
군 170
 
6.5%
도 170
 
6.5%
청 169
 
6.5%
남 168
 
6.4%
리 164
 
6.3%
면 159
 
6.1%
Other values (96) 896
34.4%

업종명
Text

Distinct105
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T08:15:01.928829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length17.556886
Min length6

Characters and Unicode

Total characters2932
Distinct characters193
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)44.9%

Sample

1st row그 외 기타 특수목적용 기계 제조업
2nd row금속 문+ 창+ 셔터 및 관련제품 제조업 외 1 종
3rd row육상 금속 골조 구조재 제조업
4th row배전반 및 전기 자동제어반 제조업 외 4 종
5th row콘크리트 관 및 기타 구조용 콘크리트 제품 제조업 외 2 종
ValueCountFrequency (%)
제조업 142
 
14.7%
외 90
 
9.3%
종 81
 
8.4%
및 74
 
7.6%
1 39
 
4.0%
기타 31
 
3.2%
콘크리트 24
 
2.5%
2 16
 
1.7%
금속 15
 
1.5%
제품 14
 
1.4%
Other values (186) 442
45.7%
2024-01-10T08:15:02.400196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
801
27.3%
제 204
 
7.0%
조 185
 
6.3%
업 171
 
5.8%
외 92
 
3.1%
종 84
 
2.9%
및 74
 
2.5%
기 65
 
2.2%
품 61
 
2.1%
용 45
 
1.5%
Other values (183) 1150
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2016
68.8%
Space Separator 801
 
27.3%
Decimal Number 83
 
2.8%
Math Symbol 27
 
0.9%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 204
 
10.1%
조 185
 
9.2%
업 171
 
8.5%
외 92
 
4.6%
종 84
 
4.2%
및 74
 
3.7%
기 65
 
3.2%
품 61
 
3.0%
용 45
 
2.2%
타 36
 
1.8%
Other values (170) 999
49.6%
Decimal Number
ValueCountFrequency (%)
1 40
48.2%
2 17
20.5%
3 11
 
13.3%
5 6
 
7.2%
4 6
 
7.2%
6 1
 
1.2%
7 1
 
1.2%
9 1
 
1.2%
Space Separator
ValueCountFrequency (%)
801
100.0%
Math Symbol
ValueCountFrequency (%)
+ 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2016
68.8%
Common 916
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 204
 
10.1%
조 185
 
9.2%
업 171
 
8.5%
외 92
 
4.6%
종 84
 
4.2%
및 74
 
3.7%
기 65
 
3.2%
품 61
 
3.0%
용 45
 
2.2%
타 36
 
1.8%
Other values (170) 999
49.6%
Common
ValueCountFrequency (%)
801
87.4%
1 40
 
4.4%
+ 27
 
2.9%
2 17
 
1.9%
3 11
 
1.2%
5 6
 
0.7%
4 6
 
0.7%
( 2
 
0.2%
) 2
 
0.2%
6 1
 
0.1%
Other values (3) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2012
68.6%
ASCII 916
31.2%
Compat Jamo 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
801
87.4%
1 40
 
4.4%
+ 27
 
2.9%
2 17
 
1.9%
3 11
 
1.2%
5 6
 
0.7%
4 6
 
0.7%
( 2
 
0.2%
) 2
 
0.2%
6 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
제 204
 
10.1%
조 185
 
9.2%
업 171
 
8.5%
외 92
 
4.6%
종 84
 
4.2%
및 74
 
3.7%
기 65
 
3.2%
품 61
 
3.0%
용 45
 
2.2%
타 36
 
1.8%
Other values (169) 995
49.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

생산품
Text

Distinct148
Distinct (%)89.2%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2024-01-10T08:15:02.651309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length28
Mean length10.259036
Min length1

Characters and Unicode

Total characters1703
Distinct characters319
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)84.9%

Sample

1st row산업기계+ 슬러지퇴비화 장치
2nd row하이샷시
3rd row복공판
4th row수배전반
5th row폴리머콘크리트제품+ 합성수지제측구수로관+ 밸브실
ValueCountFrequency (%)
백미 10
 
2.9%
및 8
 
2.3%
등 7
 
2.1%
레미콘 6
 
1.8%
외 3
 
0.9%
콘크리트 3
 
0.9%
아스콘 3
 
0.9%
복공판 2
 
0.6%
단무지 2
 
0.6%
폰툰 2
 
0.6%
Other values (281) 295
86.5%
2024-01-10T08:15:03.036546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
10.3%
+ 121
 
7.1%
조 33
 
1.9%
품 29
 
1.7%
미 29
 
1.7%
수 27
 
1.6%
용 25
 
1.5%
리 25
 
1.5%
제 23
 
1.4%
스 22
 
1.3%
Other values (309) 1194
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1297
76.2%
Space Separator 175
 
10.3%
Math Symbol 121
 
7.1%
Uppercase Letter 77
 
4.5%
Close Punctuation 11
 
0.6%
Open Punctuation 11
 
0.6%
Dash Punctuation 4
 
0.2%
Other Punctuation 3
 
0.2%
Lowercase Letter 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 33
 
2.5%
품 29
 
2.2%
미 29
 
2.2%
수 27
 
2.1%
용 25
 
1.9%
리 25
 
1.9%
제 23
 
1.8%
스 22
 
1.7%
장 22
 
1.7%
구 21
 
1.6%
Other values (278) 1041
80.3%
Uppercase Letter
ValueCountFrequency (%)
E 16
20.8%
L 10
13.0%
P 8
10.4%
D 8
10.4%
C 7
9.1%
T 4
 
5.2%
S 3
 
3.9%
A 3
 
3.9%
V 3
 
3.9%
B 2
 
2.6%
Other values (10) 13
16.9%
Lowercase Letter
ValueCountFrequency (%)
u 1
33.3%
s 1
33.3%
p 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
175
100.0%
Math Symbol
ValueCountFrequency (%)
+ 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1297
76.2%
Common 326
 
19.1%
Latin 80
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 33
 
2.5%
품 29
 
2.2%
미 29
 
2.2%
수 27
 
2.1%
용 25
 
1.9%
리 25
 
1.9%
제 23
 
1.8%
스 22
 
1.7%
장 22
 
1.7%
구 21
 
1.6%
Other values (278) 1041
80.3%
Latin
ValueCountFrequency (%)
E 16
20.0%
L 10
12.5%
P 8
10.0%
D 8
10.0%
C 7
8.8%
T 4
 
5.0%
S 3
 
3.8%
A 3
 
3.8%
V 3
 
3.8%
B 2
 
2.5%
Other values (13) 16
20.0%
Common
ValueCountFrequency (%)
175
53.7%
+ 121
37.1%
) 11
 
3.4%
( 11
 
3.4%
- 4
 
1.2%
. 2
 
0.6%
· 1
 
0.3%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1297
76.2%
ASCII 405
 
23.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
43.2%
+ 121
29.9%
E 16
 
4.0%
) 11
 
2.7%
( 11
 
2.7%
L 10
 
2.5%
P 8
 
2.0%
D 8
 
2.0%
C 7
 
1.7%
T 4
 
1.0%
Other values (20) 34
 
8.4%
Hangul
ValueCountFrequency (%)
조 33
 
2.5%
품 29
 
2.2%
미 29
 
2.2%
수 27
 
2.1%
용 25
 
1.9%
리 25
 
1.9%
제 23
 
1.8%
스 22
 
1.7%
장 22
 
1.7%
구 21
 
1.6%
Other values (278) 1041
80.3%
None
ValueCountFrequency (%)
· 1
100.0%

대표자명
Text

Distinct161
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T08:15:03.348731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.3113772
Min length2

Characters and Unicode

Total characters553
Distinct characters144
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

Unique155 ?
Unique (%)92.8%

Sample

1st row김선화
2nd row정문순
3rd row권예리
4th row구재순
5th row민병윤
ValueCountFrequency (%)
강신황 2
 
1.1%
천성룡 2
 
1.1%
윤신근 2
 
1.1%
권예리 2
 
1.1%
차선희 2
 
1.1%
이주현 2
 
1.1%
전용관 2
 
1.1%
박정호 1
 
0.6%
김종완 1
 
0.6%
이종수 1
 
0.6%
Other values (160) 160
90.4%
2024-01-10T08:15:03.790023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 31
 
5.6%
이 23
 
4.2%
영 19
 
3.4%
정 16
 
2.9%
박 15
 
2.7%
강 12
 
2.2%
희 12
 
2.2%
11
 
2.0%
재 10
 
1.8%
+ 10
 
1.8%
Other values (134) 394
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
96.0%
Space Separator 11
 
2.0%
Math Symbol 10
 
1.8%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 31
 
5.8%
이 23
 
4.3%
영 19
 
3.6%
정 16
 
3.0%
박 15
 
2.8%
강 12
 
2.3%
희 12
 
2.3%
재 10
 
1.9%
근 9
 
1.7%
최 9
 
1.7%
Other values (131) 375
70.6%
Space Separator
ValueCountFrequency (%)
11
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
96.0%
Common 22
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 31
 
5.8%
이 23
 
4.3%
영 19
 
3.6%
정 16
 
3.0%
박 15
 
2.8%
강 12
 
2.3%
희 12
 
2.3%
재 10
 
1.9%
근 9
 
1.7%
최 9
 
1.7%
Other values (131) 375
70.6%
Common
ValueCountFrequency (%)
11
50.0%
+ 10
45.5%
1 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
96.0%
ASCII 22
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 31
 
5.8%
이 23
 
4.3%
영 19
 
3.6%
정 16
 
3.0%
박 15
 
2.8%
강 12
 
2.3%
희 12
 
2.3%
재 10
 
1.9%
근 9
 
1.7%
최 9
 
1.7%
Other values (131) 375
70.6%
ASCII
ValueCountFrequency (%)
11
50.0%
+ 10
45.5%
1 1
 
4.5%

운영구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
145 
폐업
22 

Length

Max length4
Median length4
Mean length3.7365269
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 145
86.8%
폐업 22
 
13.2%

Length

2024-01-10T08:15:03.931014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:15:04.042544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
86.8%
폐업 22
 
13.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2024-01-10T08:15:04.122225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:15:04.207877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-01-10T08:14:58.067129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:14:58.195880image/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.
2024-01-10T08:14:58.331809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

회사명전화번호팩스번호도로명주소지번주소업종명생산품대표자명운영구분데이터기준일자
0(유)동선이엔씨041-832-2888041-832-2887충청남도 부여군 장암면 위덕로445번길 40충청남도 부여군 장암면 상황리 328-5번지그 외 기타 특수목적용 기계 제조업산업기계+ 슬러지퇴비화 장치김선화<NA>2022-08-31
1(주) 건영에스피지041-835-0030<NA>충청남도 부여군 규암면 내동로 11충청남도 부여군 규암면 외리 94-2번지금속 문+ 창+ 셔터 및 관련제품 제조업 외 1 종하이샷시정문순폐업2022-08-31
2(주)경희산업041-835-9985041-835-9983충청남도 부여군 석성면 증산로 95충청남도 부여군 석성면 증산리 1291-31번지육상 금속 골조 구조재 제조업복공판권예리<NA>2022-08-31
3(주)계림전설<NA>041-956-4277충청남도 부여군 은산면 충의로622번길 23충청남도 부여군 은산면 충의로622번길 23배전반 및 전기 자동제어반 제조업 외 4 종수배전반구재순<NA>2022-08-31
4(주)계림폴리콘041-833-3865041-834-3865충청남도 부여군 임천면 가림로 618 외 5필지충청남도 부여군 임천면 군사리 516번지 외 5필지콘크리트 관 및 기타 구조용 콘크리트 제품 제조업 외 2 종폴리머콘크리트제품+ 합성수지제측구수로관+ 밸브실민병윤<NA>2022-08-31
5(주)광일산업<NA><NA>충청남도 부여군 구룡면 흥수로 397-5충청남도 부여군 구룡면 구봉리 511-4번지판지 상자 및 용기 제조업포장용 판지상자김옥기<NA>2022-08-31
6(주)그린켐텍041-837-0780041-837-0781충청남도 부여군 석성면 석성로 224-7 외 1필지충청남도 부여군 석성면 봉정리 780번지 외 1필지천막+ 텐트 및 유사 제품 제조업 외 1 종PE타포린강대영<NA>2022-08-31
7(주)네오캠041-837-3711<NA>충청남도 부여군 석성면 증산천길 140 외 2필지충청남도 부여군 석성면 증산리 369번지 외 2필지천막+ 텐트 및 유사 제품 제조업 외 3 종방수천막오광수<NA>2022-08-31
8(주)뉴제일이엘이씨070-5222-7247070-5222-2680충청남도 부여군 은산면 은남로20번길 42충청남도 부여군 은산면 가중리 558번지금속 단조제품 제조업 외 4 종금속제품단조+압형+열처리+도금 가공업차선희<NA>2022-08-31
9(주)대명철강041-836-9519041-835-9519충청남도 부여군 규암면 흥수로 530충청남도 부여군 규암면 노화리 435-11번지강관 제조업 외 3 종농업용하우스파이프+강관노학래<NA>2022-08-31
회사명전화번호팩스번호도로명주소지번주소업종명생산품대표자명운영구분데이터기준일자
157하나그린(주)041-837-0151041-837-0153충청남도 부여군 은산면 충의로622번길 38 외 3필지충청남도 부여군 은산면 은산리 17번지 외 3필지그 외 기타 분류 안된 화학제품 제조업활성탄차근철<NA>2022-08-31
158한국유기농업개발(주)041-834-8991041-834-0104충청남도 부여군 임천면 부흥로171번길 15충청남도 부여군 임천면 칠산리 291번지복합비료 및 기타 화학비료 제조업 외 3 종미생물+ 단미사료신통열<NA>2022-08-31
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160한국조폐공사 제지본부041-830-5203033-835-9111충청남도 부여군 부여읍 염창로180번길 67 외 4필지충청남도 부여군 부여읍 염창리 17번지 외 4필지인쇄용 및 필기용 원지 제조업 외 3 종은행권용지+특수용지+전자카드반장식<NA>2022-08-31
161한신이엔에스041-832-2888<NA>충청남도 부여군 장암면 위덕로445번길 40충청남도 부여군 장암면 상황리 328-5번지플라스틱 선+ 봉+ 관 및 호스 제조업상하수도 파이프정은희<NA>2022-08-31
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163현일섬유041-835-6027<NA>충청남도 부여군 규암면 충절로 2266충청남도 부여군 규암면 외리 264-5번지속옷 및 잠옷 제조업메리야스서유자폐업2022-08-31
164홍산농업협동조합041-835-1280041-836-1282충청남도 부여군 홍산면 대백제로 822충청남도 부여군 홍산면 좌홍리 178-10번지곡물 도정업백미김영채폐업2022-08-31
165후레시팜041-832-9479041-834-8443충청남도 부여군 은산면 충의로 602-21충청남도 부여군 은산면 은산리 25-28번지면류+ 마카로니 및 유사식품 제조업 외 3 종면류+육수류+조미료류이강영<NA>2022-08-31
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