Overview

Dataset statistics

Number of variables10
Number of observations173
Missing cells71
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory80.8 B

Variable types

Text8
Categorical2

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
운영구분 is highly imbalanced (61.9%)Imbalance
전화번호 has 16 (9.2%) missing valuesMissing
팩스번호 has 53 (30.6%) missing valuesMissing
생산품 has 2 (1.2%) missing valuesMissing
회사명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:15:05.085009
Analysis finished2024-01-09 23:15:06.013236
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T08:15:06.149230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.0231214
Min length3

Characters and Unicode

Total characters1388
Distinct characters227
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

Unique173 ?
Unique (%)100.0%

Sample

1st row(유)동선이엔씨
2nd row(유)중부산업개발
3rd row(주) 건영에스피지
4th row(주)경희산업
5th row(주)계림전설
ValueCountFrequency (%)
주식회사 29
 
13.2%
농업회사법인 7
 
3.2%
부여지점 2
 
0.9%
영농조합법인 2
 
0.9%
아주이엔지주식회사 1
 
0.5%
미래기계 1
 
0.5%
에스티에스특장(주 1
 
0.5%
세도석재산업 1
 
0.5%
솔거종합식품 1
 
0.5%
수지산업 1
 
0.5%
Other values (173) 173
79.0%
2024-01-10T08:15:06.475622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 114
 
8.2%
( 82
 
5.9%
) 82
 
5.9%
사 48
 
3.5%
46
 
3.3%
회 45
 
3.2%
업 41
 
3.0%
이 41
 
3.0%
식 40
 
2.9%
산 30
 
2.2%
Other values (217) 819
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1168
84.1%
Open Punctuation 82
 
5.9%
Close Punctuation 82
 
5.9%
Space Separator 46
 
3.3%
Uppercase Letter 8
 
0.6%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 114
 
9.8%
사 48
 
4.1%
회 45
 
3.9%
업 41
 
3.5%
이 41
 
3.5%
식 40
 
3.4%
산 30
 
2.6%
농 24
 
2.1%
스 23
 
2.0%
에 20
 
1.7%
Other values (205) 742
63.5%
Uppercase Letter
ValueCountFrequency (%)
L 1
12.5%
P 1
12.5%
F 1
12.5%
N 1
12.5%
B 1
12.5%
T 1
12.5%
R 1
12.5%
M 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1168
84.1%
Common 212
 
15.3%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 114
 
9.8%
사 48
 
4.1%
회 45
 
3.9%
업 41
 
3.5%
이 41
 
3.5%
식 40
 
3.4%
산 30
 
2.6%
농 24
 
2.1%
스 23
 
2.0%
에 20
 
1.7%
Other values (205) 742
63.5%
Latin
ValueCountFrequency (%)
L 1
12.5%
P 1
12.5%
F 1
12.5%
N 1
12.5%
B 1
12.5%
T 1
12.5%
R 1
12.5%
M 1
12.5%
Common
ValueCountFrequency (%)
( 82
38.7%
) 82
38.7%
46
21.7%
. 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1168
84.1%
ASCII 220
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 114
 
9.8%
사 48
 
4.1%
회 45
 
3.9%
업 41
 
3.5%
이 41
 
3.5%
식 40
 
3.4%
산 30
 
2.6%
농 24
 
2.1%
스 23
 
2.0%
에 20
 
1.7%
Other values (205) 742
63.5%
ASCII
ValueCountFrequency (%)
( 82
37.3%
) 82
37.3%
46
20.9%
. 2
 
0.9%
L 1
 
0.5%
P 1
 
0.5%
F 1
 
0.5%
N 1
 
0.5%
B 1
 
0.5%
T 1
 
0.5%
Other values (2) 2
 
0.9%

전화번호
Text

MISSING 

Distinct153
Distinct (%)97.5%
Missing16
Missing (%)9.2%
Memory size1.5 KiB
2024-01-10T08:15:06.704276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.993631
Min length9

Characters and Unicode

Total characters1883
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

Unique149 ?
Unique (%)94.9%

Sample

1st row041-832-2888
2nd row041-835-9888
3rd row041-835-0030
4th row041-835-9985
5th row041-833-3865
ValueCountFrequency (%)
041-832-1571 2
 
1.3%
041-837-0151 2
 
1.3%
041-832-2888 2
 
1.3%
041-834-0294 2
 
1.3%
041-832-1359 1
 
0.6%
041-836-7044 1
 
0.6%
041-834-7700 1
 
0.6%
041-834-1833 1
 
0.6%
041-833-9655 1
 
0.6%
041-741-8305 1
 
0.6%
Other values (143) 143
91.1%
2024-01-10T08:15:07.079414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 313
16.6%
0 276
14.7%
3 221
11.7%
4 218
11.6%
8 217
11.5%
1 212
11.3%
2 105
 
5.6%
7 92
 
4.9%
5 90
 
4.8%
6 89
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1570
83.4%
Dash Punctuation 313
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 276
17.6%
3 221
14.1%
4 218
13.9%
8 217
13.8%
1 212
13.5%
2 105
 
6.7%
7 92
 
5.9%
5 90
 
5.7%
6 89
 
5.7%
9 50
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 313
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1883
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 313
16.6%
0 276
14.7%
3 221
11.7%
4 218
11.6%
8 217
11.5%
1 212
11.3%
2 105
 
5.6%
7 92
 
4.9%
5 90
 
4.8%
6 89
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1883
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 313
16.6%
0 276
14.7%
3 221
11.7%
4 218
11.6%
8 217
11.5%
1 212
11.3%
2 105
 
5.6%
7 92
 
4.9%
5 90
 
4.8%
6 89
 
4.7%

팩스번호
Text

MISSING 

Distinct117
Distinct (%)97.5%
Missing53
Missing (%)30.6%
Memory size1.5 KiB
2024-01-10T08:15:07.305573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016667
Min length12

Characters and Unicode

Total characters1442
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

Unique115 ?
Unique (%)95.8%

Sample

1st row041-832-2887
2nd row041-835-9887
3rd row041-835-9983
4th row041-956-4277
5th row041-834-3865
ValueCountFrequency (%)
041-833-1573 3
 
2.5%
041-834-7707 2
 
1.7%
041-832-5250 1
 
0.8%
041-832-2887 1
 
0.8%
041-833-8630 1
 
0.8%
062-946-2107 1
 
0.8%
041-835-9930 1
 
0.8%
041-836-7776 1
 
0.8%
041-835-2275 1
 
0.8%
041-832-0701 1
 
0.8%
Other values (107) 107
89.2%
2024-01-10T08:15:07.646230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 240
16.6%
3 184
12.8%
0 182
12.6%
4 176
12.2%
8 167
11.6%
1 164
11.4%
7 76
 
5.3%
2 75
 
5.2%
5 68
 
4.7%
6 63
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1202
83.4%
Dash Punctuation 240
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 184
15.3%
0 182
15.1%
4 176
14.6%
8 167
13.9%
1 164
13.6%
7 76
6.3%
2 75
6.2%
5 68
 
5.7%
6 63
 
5.2%
9 47
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 240
16.6%
3 184
12.8%
0 182
12.6%
4 176
12.2%
8 167
11.6%
1 164
11.4%
7 76
 
5.3%
2 75
 
5.2%
5 68
 
4.7%
6 63
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 240
16.6%
3 184
12.8%
0 182
12.6%
4 176
12.2%
8 167
11.6%
1 164
11.4%
7 76
 
5.3%
2 75
 
5.2%
5 68
 
4.7%
6 63
 
4.4%

도로명주소
Text

Distinct163
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T08:15:07.865398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length24.132948
Min length18

Characters and Unicode

Total characters4175
Distinct characters118
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

Unique156 ?
Unique (%)90.2%

Sample

1st row충청남도 부여군 장암면 위덕로445번길 40
2nd row충청남도 부여군 석성면 금백로 166-11
3rd row충청남도 부여군 규암면 내동로 11
4th row충청남도 부여군 석성면 증산로 95
5th row충청남도 부여군 은산면 충의로622번길 23
ValueCountFrequency (%)
충청남도 173
 
17.6%
부여군 173
 
17.6%
외 39
 
4.0%
은산면 32
 
3.3%
석성면 30
 
3.1%
규암면 18
 
1.8%
장암면 18
 
1.8%
임천면 15
 
1.5%
초촌면 15
 
1.5%
흥수로 14
 
1.4%
Other values (249) 454
46.3%
2024-01-10T08:15:08.201028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
808
19.4%
충 214
 
5.1%
부 189
 
4.5%
남 183
 
4.4%
여 181
 
4.3%
도 176
 
4.2%
군 174
 
4.2%
청 174
 
4.2%
면 165
 
4.0%
로 150
 
3.6%
Other values (108) 1761
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2560
61.3%
Space Separator 808
 
19.4%
Decimal Number 716
 
17.1%
Dash Punctuation 58
 
1.4%
Open Punctuation 13
 
0.3%
Close Punctuation 13
 
0.3%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 214
 
8.4%
부 189
 
7.4%
남 183
 
7.1%
여 181
 
7.1%
도 176
 
6.9%
군 174
 
6.8%
청 174
 
6.8%
면 165
 
6.4%
로 150
 
5.9%
지 72
 
2.8%
Other values (93) 882
34.5%
Decimal Number
ValueCountFrequency (%)
2 127
17.7%
1 127
17.7%
3 78
10.9%
4 77
10.8%
5 65
9.1%
6 65
9.1%
0 56
7.8%
7 49
 
6.8%
9 41
 
5.7%
8 31
 
4.3%
Space Separator
ValueCountFrequency (%)
808
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2560
61.3%
Common 1615
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 214
 
8.4%
부 189
 
7.4%
남 183
 
7.1%
여 181
 
7.1%
도 176
 
6.9%
군 174
 
6.8%
청 174
 
6.8%
면 165
 
6.4%
로 150
 
5.9%
지 72
 
2.8%
Other values (93) 882
34.5%
Common
ValueCountFrequency (%)
808
50.0%
2 127
 
7.9%
1 127
 
7.9%
3 78
 
4.8%
4 77
 
4.8%
5 65
 
4.0%
6 65
 
4.0%
- 58
 
3.6%
0 56
 
3.5%
7 49
 
3.0%
Other values (5) 105
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2560
61.3%
ASCII 1615
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
808
50.0%
2 127
 
7.9%
1 127
 
7.9%
3 78
 
4.8%
4 77
 
4.8%
5 65
 
4.0%
6 65
 
4.0%
- 58
 
3.6%
0 56
 
3.5%
7 49
 
3.0%
Other values (5) 105
 
6.5%
Hangul
ValueCountFrequency (%)
충 214
 
8.4%
부 189
 
7.4%
남 183
 
7.1%
여 181
 
7.1%
도 176
 
6.9%
군 174
 
6.8%
청 174
 
6.8%
면 165
 
6.4%
로 150
 
5.9%
지 72
 
2.8%
Other values (93) 882
34.5%

지번주소
Text

Distinct165
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T08:15:08.458671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length24.83237
Min length19

Characters and Unicode

Total characters4296
Distinct characters130
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

Unique157 ?
Unique (%)90.8%

Sample

1st row충청남도 부여군 장암면 상황리 328-5번지
2nd row충청남도 부여군 석성면 석성리 94-5번지
3rd row충청남도 부여군 규암면 외리 94-2번지
4th row충청남도 부여군 석성면 증산리 1291-31번지
5th row충청남도 부여군 은산면 충의로622번길 23
ValueCountFrequency (%)
충청남도 173
17.9%
부여군 173
17.9%
외 39
 
4.0%
은산면 32
 
3.3%
석성면 30
 
3.1%
증산리 22
 
2.3%
규암면 18
 
1.9%
장암면 18
 
1.9%
은산리 17
 
1.8%
초촌면 15
 
1.6%
Other values (249) 427
44.3%
2024-01-10T08:15:08.823610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
791
18.4%
지 194
 
4.5%
부 181
 
4.2%
여 181
 
4.2%
충 178
 
4.1%
군 176
 
4.1%
도 176
 
4.1%
청 175
 
4.1%
남 174
 
4.1%
리 170
 
4.0%
Other values (120) 1900
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2706
63.0%
Space Separator 791
 
18.4%
Decimal Number 679
 
15.8%
Dash Punctuation 111
 
2.6%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 194
 
7.2%
부 181
 
6.7%
여 181
 
6.7%
충 178
 
6.6%
군 176
 
6.5%
도 176
 
6.5%
청 175
 
6.5%
남 174
 
6.4%
리 170
 
6.3%
면 165
 
6.1%
Other values (105) 936
34.6%
Decimal Number
ValueCountFrequency (%)
1 137
20.2%
2 110
16.2%
3 93
13.7%
6 59
8.7%
5 58
8.5%
0 54
 
8.0%
4 51
 
7.5%
7 46
 
6.8%
9 40
 
5.9%
8 31
 
4.6%
Space Separator
ValueCountFrequency (%)
791
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2706
63.0%
Common 1590
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 194
 
7.2%
부 181
 
6.7%
여 181
 
6.7%
충 178
 
6.6%
군 176
 
6.5%
도 176
 
6.5%
청 175
 
6.5%
남 174
 
6.4%
리 170
 
6.3%
면 165
 
6.1%
Other values (105) 936
34.6%
Common
ValueCountFrequency (%)
791
49.7%
1 137
 
8.6%
- 111
 
7.0%
2 110
 
6.9%
3 93
 
5.8%
6 59
 
3.7%
5 58
 
3.6%
0 54
 
3.4%
4 51
 
3.2%
7 46
 
2.9%
Other values (5) 80
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2706
63.0%
ASCII 1590
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
791
49.7%
1 137
 
8.6%
- 111
 
7.0%
2 110
 
6.9%
3 93
 
5.8%
6 59
 
3.7%
5 58
 
3.6%
0 54
 
3.4%
4 51
 
3.2%
7 46
 
2.9%
Other values (5) 80
 
5.0%
Hangul
ValueCountFrequency (%)
지 194
 
7.2%
부 181
 
6.7%
여 181
 
6.7%
충 178
 
6.6%
군 176
 
6.5%
도 176
 
6.5%
청 175
 
6.5%
남 174
 
6.4%
리 170
 
6.3%
면 165
 
6.1%
Other values (105) 936
34.6%

업종명
Text

Distinct107
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T08:15:09.055686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length17.815029
Min length6

Characters and Unicode

Total characters3082
Distinct characters197
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)43.9%

Sample

1st row그 외 기타 특수목적용 기계 제조업
2nd row아스팔트 콘크리트 및 혼합제품 제조업
3rd row금속 문, 창, 셔터 및 관련제품 제조업 외 1 종
4th row육상 금속 골조 구조재 제조업
5th row배전반 및 전기 자동제어반 제조업 외 4 종
ValueCountFrequency (%)
제조업 148
 
14.5%
외 96
 
9.4%
종 85
 
8.3%
및 79
 
7.8%
1 43
 
4.2%
기타 34
 
3.3%
콘크리트 24
 
2.4%
2 16
 
1.6%
금속 15
 
1.5%
제품 14
 
1.4%
Other values (191) 464
45.6%
2024-01-10T08:15:09.419512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
845
27.4%
제 213
 
6.9%
조 191
 
6.2%
업 177
 
5.7%
외 98
 
3.2%
종 88
 
2.9%
및 79
 
2.6%
기 68
 
2.2%
품 66
 
2.1%
용 48
 
1.6%
Other values (187) 1209
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2115
68.6%
Space Separator 845
 
27.4%
Decimal Number 87
 
2.8%
Other Punctuation 31
 
1.0%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 213
 
10.1%
조 191
 
9.0%
업 177
 
8.4%
외 98
 
4.6%
종 88
 
4.2%
및 79
 
3.7%
기 68
 
3.2%
품 66
 
3.1%
용 48
 
2.3%
타 39
 
1.8%
Other values (174) 1048
49.6%
Decimal Number
ValueCountFrequency (%)
1 44
50.6%
2 17
 
19.5%
3 11
 
12.6%
4 6
 
6.9%
5 6
 
6.9%
6 1
 
1.1%
7 1
 
1.1%
0 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 30
96.8%
. 1
 
3.2%
Space Separator
ValueCountFrequency (%)
845
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2115
68.6%
Common 967
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 213
 
10.1%
조 191
 
9.0%
업 177
 
8.4%
외 98
 
4.6%
종 88
 
4.2%
및 79
 
3.7%
기 68
 
3.2%
품 66
 
3.1%
용 48
 
2.3%
타 39
 
1.8%
Other values (174) 1048
49.6%
Common
ValueCountFrequency (%)
845
87.4%
1 44
 
4.6%
, 30
 
3.1%
2 17
 
1.8%
3 11
 
1.1%
4 6
 
0.6%
5 6
 
0.6%
) 2
 
0.2%
( 2
 
0.2%
6 1
 
0.1%
Other values (3) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2111
68.5%
ASCII 967
31.4%
Compat Jamo 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
845
87.4%
1 44
 
4.6%
, 30
 
3.1%
2 17
 
1.8%
3 11
 
1.1%
4 6
 
0.6%
5 6
 
0.6%
) 2
 
0.2%
( 2
 
0.2%
6 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
제 213
 
10.1%
조 191
 
9.0%
업 177
 
8.4%
외 98
 
4.6%
종 88
 
4.2%
및 79
 
3.7%
기 68
 
3.2%
품 66
 
3.1%
용 48
 
2.3%
타 39
 
1.8%
Other values (173) 1044
49.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

생산품
Text

MISSING 

Distinct152
Distinct (%)88.9%
Missing2
Missing (%)1.2%
Memory size1.5 KiB
2024-01-10T08:15:09.654891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length31
Mean length10.573099
Min length1

Characters and Unicode

Total characters1808
Distinct characters324
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)84.2%

Sample

1st row산업기계, 슬러지퇴비화 장치
2nd row아스콘
3rd row하이샷시
4th row복공판
5th row수배전반
ValueCountFrequency (%)
백미 10
 
2.7%
및 10
 
2.7%
등 7
 
1.9%
레미콘 6
 
1.6%
아스콘 3
 
0.8%
외 3
 
0.8%
콘크리트 3
 
0.8%
스테비아 2
 
0.5%
조미식품 2
 
0.5%
폴리우레탄 2
 
0.5%
Other values (301) 316
86.8%
2024-01-10T08:15:10.089948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
10.7%
, 124
 
6.9%
조 35
 
1.9%
수 31
 
1.7%
품 30
 
1.7%
미 29
 
1.6%
용 28
 
1.5%
리 28
 
1.5%
제 26
 
1.4%
장 23
 
1.3%
Other values (314) 1261
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1379
76.3%
Space Separator 193
 
10.7%
Other Punctuation 127
 
7.0%
Uppercase Letter 80
 
4.4%
Close Punctuation 12
 
0.7%
Open Punctuation 12
 
0.7%
Dash Punctuation 4
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 35
 
2.5%
수 31
 
2.2%
품 30
 
2.2%
미 29
 
2.1%
용 28
 
2.0%
리 28
 
2.0%
제 26
 
1.9%
장 23
 
1.7%
스 23
 
1.7%
구 22
 
1.6%
Other values (286) 1104
80.1%
Uppercase Letter
ValueCountFrequency (%)
E 17
21.2%
L 10
12.5%
P 9
11.2%
D 8
10.0%
C 7
8.8%
T 5
 
6.2%
S 3
 
3.8%
V 3
 
3.8%
A 3
 
3.8%
B 2
 
2.5%
Other values (10) 13
16.2%
Other Punctuation
ValueCountFrequency (%)
, 124
97.6%
. 2
 
1.6%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1379
76.3%
Common 349
 
19.3%
Latin 80
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 35
 
2.5%
수 31
 
2.2%
품 30
 
2.2%
미 29
 
2.1%
용 28
 
2.0%
리 28
 
2.0%
제 26
 
1.9%
장 23
 
1.7%
스 23
 
1.7%
구 22
 
1.6%
Other values (286) 1104
80.1%
Latin
ValueCountFrequency (%)
E 17
21.2%
L 10
12.5%
P 9
11.2%
D 8
10.0%
C 7
8.8%
T 5
 
6.2%
S 3
 
3.8%
V 3
 
3.8%
A 3
 
3.8%
B 2
 
2.5%
Other values (10) 13
16.2%
Common
ValueCountFrequency (%)
193
55.3%
, 124
35.5%
) 12
 
3.4%
( 12
 
3.4%
- 4
 
1.1%
. 2
 
0.6%
2 1
 
0.3%
· 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1379
76.3%
ASCII 428
 
23.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
45.1%
, 124
29.0%
E 17
 
4.0%
) 12
 
2.8%
( 12
 
2.8%
L 10
 
2.3%
P 9
 
2.1%
D 8
 
1.9%
C 7
 
1.6%
T 5
 
1.2%
Other values (17) 31
 
7.2%
Hangul
ValueCountFrequency (%)
조 35
 
2.5%
수 31
 
2.2%
품 30
 
2.2%
미 29
 
2.1%
용 28
 
2.0%
리 28
 
2.0%
제 26
 
1.9%
장 23
 
1.7%
스 23
 
1.7%
구 22
 
1.6%
Other values (286) 1104
80.1%
None
ValueCountFrequency (%)
· 1
100.0%

대표자명
Text

Distinct166
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T08:15:10.406107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.2601156
Min length2

Characters and Unicode

Total characters564
Distinct characters147
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)92.5%

Sample

1st row김선화
2nd row박종서
3rd row정문순
4th row권예리
5th row구재순
ValueCountFrequency (%)
이주현 3
 
1.6%
권예리 2
 
1.1%
차선희 2
 
1.1%
강신황 2
 
1.1%
전용관 2
 
1.1%
윤신근 2
 
1.1%
천성룡 2
 
1.1%
임태병 1
 
0.5%
염기조 1
 
0.5%
이영규 1
 
0.5%
Other values (164) 164
90.1%
2024-01-10T08:15:10.836107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 32
 
5.7%
이 23
 
4.1%
영 19
 
3.4%
박 17
 
3.0%
정 17
 
3.0%
강 13
 
2.3%
희 13
 
2.3%
재 11
 
2.0%
종 10
 
1.8%
성 10
 
1.8%
Other values (137) 399
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
95.7%
Space Separator 10
 
1.8%
Other Punctuation 8
 
1.4%
Uppercase Letter 5
 
0.9%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 32
 
5.9%
이 23
 
4.3%
영 19
 
3.5%
박 17
 
3.1%
정 17
 
3.1%
강 13
 
2.4%
희 13
 
2.4%
재 11
 
2.0%
종 10
 
1.9%
성 10
 
1.9%
Other values (129) 375
69.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
I 1
20.0%
O 1
20.0%
J 1
20.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
95.7%
Common 19
 
3.4%
Latin 5
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 32
 
5.9%
이 23
 
4.3%
영 19
 
3.5%
박 17
 
3.1%
정 17
 
3.1%
강 13
 
2.4%
희 13
 
2.4%
재 11
 
2.0%
종 10
 
1.9%
성 10
 
1.9%
Other values (129) 375
69.4%
Latin
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
I 1
20.0%
O 1
20.0%
J 1
20.0%
Common
ValueCountFrequency (%)
10
52.6%
, 8
42.1%
1 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
95.7%
ASCII 24
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 32
 
5.9%
이 23
 
4.3%
영 19
 
3.5%
박 17
 
3.1%
정 17
 
3.1%
강 13
 
2.4%
희 13
 
2.4%
재 11
 
2.0%
종 10
 
1.9%
성 10
 
1.9%
Other values (129) 375
69.4%
ASCII
ValueCountFrequency (%)
10
41.7%
, 8
33.3%
A 1
 
4.2%
C 1
 
4.2%
I 1
 
4.2%
O 1
 
4.2%
J 1
 
4.2%
1 1
 
4.2%

운영구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
154 
폐업
 
12
휴업
 
7

Length

Max length4
Median length4
Mean length3.7803468
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 154
89.0%
폐업 12
 
6.9%
휴업 7
 
4.0%

Length

2024-01-10T08:15:10.966677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:15:11.096114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
89.0%
폐업 12
 
6.9%
휴업 7
 
4.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-10-31
173 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-31
2nd row2023-10-31
3rd row2023-10-31
4th row2023-10-31
5th row2023-10-31

Common Values

ValueCountFrequency (%)
2023-10-31 173
100.0%

Length

2024-01-10T08:15:11.221140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:15:11.308094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-31 173
100.0%

Missing values

2024-01-10T08:15:05.730217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:15:05.859219image/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.
2024-01-10T08:15:05.959442image/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>2023-10-31
1(유)중부산업개발041-835-9888041-835-9887충청남도 부여군 석성면 금백로 166-11충청남도 부여군 석성면 석성리 94-5번지아스팔트 콘크리트 및 혼합제품 제조업아스콘박종서<NA>2023-10-31
2(주) 건영에스피지041-835-0030<NA>충청남도 부여군 규암면 내동로 11충청남도 부여군 규암면 외리 94-2번지금속 문, 창, 셔터 및 관련제품 제조업 외 1 종하이샷시정문순휴업2023-10-31
3(주)경희산업041-835-9985041-835-9983충청남도 부여군 석성면 증산로 95충청남도 부여군 석성면 증산리 1291-31번지육상 금속 골조 구조재 제조업복공판권예리<NA>2023-10-31
4(주)계림전설<NA>041-956-4277충청남도 부여군 은산면 충의로622번길 23충청남도 부여군 은산면 충의로622번길 23배전반 및 전기 자동제어반 제조업 외 4 종수배전반구재순<NA>2023-10-31
5(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>2023-10-31
6(주)광일산업<NA><NA>충청남도 부여군 구룡면 흥수로 397-5충청남도 부여군 구룡면 구봉리 511-4번지판지 상자 및 용기 제조업포장용 판지상자김옥기<NA>2023-10-31
7(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>2023-10-31
8(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>2023-10-31
9(주)뉴제일이엘이씨070-5222-7247070-5222-2680충청남도 부여군 은산면 은남로20번길 42충청남도 부여군 은산면 가중리 558번지금속 단조제품 제조업 외 4 종금속제품단조,압형,열처리,도금 가공업차선희<NA>2023-10-31
회사명전화번호팩스번호도로명주소지번주소업종명생산품대표자명운영구분데이터기준일자
163하나그린(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>2023-10-31
164한국유기농업개발(주)041-834-8991041-834-0104충청남도 부여군 임천면 부흥로171번길 15충청남도 부여군 임천면 칠산리 291번지복합비료 및 기타 화학비료 제조업 외 3 종미생물, 단미사료신통열<NA>2023-10-31
165한국장애인편의증진협의회(주)041-834-8036041-834-8037충청남도 부여군 은산면 충의로 600충청남도 부여군 은산면 은산리 25-13번지콘크리트 타일, 기와, 벽돌 및 블록 제조업 외 2 종콘크리트타일, 보도블록, 벽돌, 볼라드김태실<NA>2023-10-31
166한국조폐공사 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>2023-10-31
167한신이엔에스041-832-2888<NA>충청남도 부여군 장암면 위덕로445번길 40충청남도 부여군 장암면 상황리 328-5번지플라스틱 선, 봉, 관 및 호스 제조업상하수도 파이프정은희<NA>2023-10-31
168현대레미콘 주식회사041-835-8555041-836-8553충청남도 부여군 석성면 금백로 166-13 외 2필지충청남도 부여군 석성면 석성리 213 외 2필지레미콘 제조업레미콘전용관, 장순신<NA>2023-10-31
169현일섬유041-835-6027<NA>충청남도 부여군 규암면 충절로 2266충청남도 부여군 규암면 외리 264-5번지속옷 및 잠옷 제조업메리야스서유자휴업2023-10-31
170홍산농업협동조합041-835-1280041-836-1282충청남도 부여군 홍산면 대백제로 822충청남도 부여군 홍산면 좌홍리 178-10번지곡물 도정업백미김영채<NA>2023-10-31
171후레시팜041-832-9479041-834-8443충청남도 부여군 은산면 충의로 602-21충청남도 부여군 은산면 은산리 25-28번지면류, 마카로니 및 유사식품 제조업 외 3 종면류,육수류,조미료류이강영휴업2023-10-31
172휴먼스화공(주)041-832-7701041-832-7750충청남도 부여군 초촌면 신암로 244충청남도 부여군 초촌면 신암리 147번지화약 및 불꽃제품 제조업 외 2 종폭죽, 간이소화기구 등송민규<NA>2023-10-31