Overview

Dataset statistics

Number of variables6
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory50.3 B

Variable types

Text4
Numeric1
DateTime1

Dataset

Description충청남도 부여군에 위치한 기업체 현황을 제공합니다.(업체명, 도로명주소, 생산품, 종업원수, 전화번호, 데이터기준일자)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=437&beforeMenuCd=DOM_000000201001001000&publicdatapk=15053309

Alerts

데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:01:44.460999
Analysis finished2024-01-09 21:01:45.625550
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-10T06:01:45.811222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length7.8921569
Min length3

Characters and Unicode

Total characters805
Distinct characters193
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

Unique102 ?
Unique (%)100.0%

Sample

1st row(주) 건영에스피지
2nd row(주)계림폴리콘
3rd row(주)골든구스
4th row(주)광일산업
5th row(주)그린켐텍
ValueCountFrequency (%)
주식회사 9
 
7.4%
농업회사법인 2
 
1.7%
부여지점 2
 
1.7%
주 1
 
0.8%
삼부신령버섯영농조합법인 1
 
0.8%
씨지주식회사 1
 
0.8%
신흥산업 1
 
0.8%
신실천막 1
 
0.8%
솔거종합식품 1
 
0.8%
선진기업(주 1
 
0.8%
Other values (101) 101
83.5%
2024-01-10T06:01:46.263716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 73
 
9.1%
( 62
 
7.7%
) 62
 
7.7%
스 25
 
3.1%
사 22
 
2.7%
에 20
 
2.5%
19
 
2.4%
이 19
 
2.4%
회 17
 
2.1%
식 16
 
2.0%
Other values (183) 470
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
81.0%
Open Punctuation 62
 
7.7%
Close Punctuation 62
 
7.7%
Space Separator 19
 
2.4%
Uppercase Letter 8
 
1.0%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
11.2%
스 25
 
3.8%
사 22
 
3.4%
에 20
 
3.1%
이 19
 
2.9%
회 17
 
2.6%
식 16
 
2.5%
업 15
 
2.3%
삼 12
 
1.8%
지 11
 
1.7%
Other values (171) 422
64.7%
Uppercase Letter
ValueCountFrequency (%)
F 1
12.5%
N 1
12.5%
B 1
12.5%
P 1
12.5%
L 1
12.5%
R 1
12.5%
M 1
12.5%
T 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
81.0%
Common 145
 
18.0%
Latin 8
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
11.2%
스 25
 
3.8%
사 22
 
3.4%
에 20
 
3.1%
이 19
 
2.9%
회 17
 
2.6%
식 16
 
2.5%
업 15
 
2.3%
삼 12
 
1.8%
지 11
 
1.7%
Other values (171) 422
64.7%
Latin
ValueCountFrequency (%)
F 1
12.5%
N 1
12.5%
B 1
12.5%
P 1
12.5%
L 1
12.5%
R 1
12.5%
M 1
12.5%
T 1
12.5%
Common
ValueCountFrequency (%)
( 62
42.8%
) 62
42.8%
19
 
13.1%
. 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
81.0%
ASCII 153
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 73
 
11.2%
스 25
 
3.8%
사 22
 
3.4%
에 20
 
3.1%
이 19
 
2.9%
회 17
 
2.6%
식 16
 
2.5%
업 15
 
2.3%
삼 12
 
1.8%
지 11
 
1.7%
Other values (171) 422
64.7%
ASCII
ValueCountFrequency (%)
( 62
40.5%
) 62
40.5%
19
 
12.4%
. 2
 
1.3%
F 1
 
0.7%
N 1
 
0.7%
B 1
 
0.7%
P 1
 
0.7%
L 1
 
0.7%
R 1
 
0.7%
Other values (2) 2
 
1.3%

도로명주소
Text

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-10T06:01:46.565306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length23.931373
Min length20

Characters and Unicode

Total characters2441
Distinct characters101
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

Unique98 ?
Unique (%)96.1%

Sample

1st row 충청남도 부여군 규암면 내동로 11
2nd row 충청남도 부여군 임천면 가림로 618
3rd row 충청남도 부여군 석성면 석성남로 45
4th row 충청남도 부여군 구룡면 흥수로 397-5
5th row 충청남도 부여군 석성면 석성로 224-7
ValueCountFrequency (%)
충청남도 102
18.9%
부여군 102
18.9%
석성면 21
 
3.9%
은산면 18
 
3.3%
초촌면 13
 
2.4%
충의로 10
 
1.8%
장암면 10
 
1.8%
홍산면 9
 
1.7%
규암면 8
 
1.5%
신암로 8
 
1.5%
Other values (162) 240
44.4%
2024-01-10T06:01:47.004447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
542
22.2%
충 122
 
5.0%
남 108
 
4.4%
부 108
 
4.4%
여 106
 
4.3%
도 104
 
4.3%
청 103
 
4.2%
군 102
 
4.2%
면 98
 
4.0%
로 92
 
3.8%
Other values (91) 956
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1433
58.7%
Space Separator 542
 
22.2%
Decimal Number 396
 
16.2%
Dash Punctuation 40
 
1.6%
Close Punctuation 12
 
0.5%
Open Punctuation 12
 
0.5%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 122
 
8.5%
남 108
 
7.5%
부 108
 
7.5%
여 106
 
7.4%
도 104
 
7.3%
청 103
 
7.2%
군 102
 
7.1%
면 98
 
6.8%
로 92
 
6.4%
산 38
 
2.7%
Other values (76) 452
31.5%
Decimal Number
ValueCountFrequency (%)
1 67
16.9%
2 66
16.7%
4 46
11.6%
6 40
10.1%
0 38
9.6%
5 36
9.1%
3 35
8.8%
7 26
 
6.6%
9 23
 
5.8%
8 19
 
4.8%
Space Separator
ValueCountFrequency (%)
542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1433
58.7%
Common 1008
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 122
 
8.5%
남 108
 
7.5%
부 108
 
7.5%
여 106
 
7.4%
도 104
 
7.3%
청 103
 
7.2%
군 102
 
7.1%
면 98
 
6.8%
로 92
 
6.4%
산 38
 
2.7%
Other values (76) 452
31.5%
Common
ValueCountFrequency (%)
542
53.8%
1 67
 
6.6%
2 66
 
6.5%
4 46
 
4.6%
- 40
 
4.0%
6 40
 
4.0%
0 38
 
3.8%
5 36
 
3.6%
3 35
 
3.5%
7 26
 
2.6%
Other values (5) 72
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1433
58.7%
ASCII 1008
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
542
53.8%
1 67
 
6.6%
2 66
 
6.5%
4 46
 
4.6%
- 40
 
4.0%
6 40
 
4.0%
0 38
 
3.8%
5 36
 
3.6%
3 35
 
3.5%
7 26
 
2.6%
Other values (5) 72
 
7.1%
Hangul
ValueCountFrequency (%)
충 122
 
8.5%
남 108
 
7.5%
부 108
 
7.5%
여 106
 
7.4%
도 104
 
7.3%
청 103
 
7.2%
군 102
 
7.1%
면 98
 
6.8%
로 92
 
6.4%
산 38
 
2.7%
Other values (76) 452
31.5%

생산품
Text

Distinct80
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-10T06:01:47.312995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length18.627451
Min length6

Characters and Unicode

Total characters1900
Distinct characters178
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

Unique68 ?
Unique (%)66.7%

Sample

1st row금속 문, 창, 셔터 및 관련제품 제조업 외 1 종
2nd row콘크리트 관 및 기타 구조용 콘크리트 제품 제조업 외 2 종
3rd row부직포 및 펠트 제조업
4th row판지 상자 및 용기 제조업
5th row천막, 텐트 및 유사 제품 제조업 외 1 종
ValueCountFrequency (%)
제조업 91
 
14.4%
외 63
 
10.0%
종 56
 
8.9%
및 54
 
8.6%
1 28
 
4.4%
기타 19
 
3.0%
제품 13
 
2.1%
콘크리트 13
 
2.1%
3 10
 
1.6%
2 9
 
1.4%
Other values (156) 274
43.5%
2024-01-10T06:01:47.777489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
27.8%
제 143
 
7.5%
조 114
 
6.0%
업 103
 
5.4%
외 65
 
3.4%
종 58
 
3.1%
및 54
 
2.8%
품 47
 
2.5%
기 37
 
1.9%
1 29
 
1.5%
Other values (168) 722
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1291
67.9%
Space Separator 528
27.8%
Decimal Number 58
 
3.1%
Other Punctuation 19
 
1.0%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 143
 
11.1%
조 114
 
8.8%
업 103
 
8.0%
외 65
 
5.0%
종 58
 
4.5%
및 54
 
4.2%
품 47
 
3.6%
기 37
 
2.9%
용 26
 
2.0%
트 24
 
1.9%
Other values (157) 620
48.0%
Decimal Number
ValueCountFrequency (%)
1 29
50.0%
2 11
 
19.0%
3 10
 
17.2%
5 5
 
8.6%
4 2
 
3.4%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
. 1
 
5.3%
Space Separator
ValueCountFrequency (%)
528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1291
67.9%
Common 609
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 143
 
11.1%
조 114
 
8.8%
업 103
 
8.0%
외 65
 
5.0%
종 58
 
4.5%
및 54
 
4.2%
품 47
 
3.6%
기 37
 
2.9%
용 26
 
2.0%
트 24
 
1.9%
Other values (157) 620
48.0%
Common
ValueCountFrequency (%)
528
86.7%
1 29
 
4.8%
, 18
 
3.0%
2 11
 
1.8%
3 10
 
1.6%
5 5
 
0.8%
) 2
 
0.3%
( 2
 
0.3%
4 2
 
0.3%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1290
67.9%
ASCII 609
32.1%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
86.7%
1 29
 
4.8%
, 18
 
3.0%
2 11
 
1.8%
3 10
 
1.6%
5 5
 
0.8%
) 2
 
0.3%
( 2
 
0.3%
4 2
 
0.3%
. 1
 
0.2%
Hangul
ValueCountFrequency (%)
제 143
 
11.1%
조 114
 
8.8%
업 103
 
8.0%
외 65
 
5.0%
종 58
 
4.5%
및 54
 
4.2%
품 47
 
3.6%
기 37
 
2.9%
용 26
 
2.0%
트 24
 
1.9%
Other values (156) 619
48.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

종업원수
Real number (ℝ)

Distinct29
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.401961
Minimum5
Maximum350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-10T06:01:47.918320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median10
Q316
95-th percentile84.35
Maximum350
Range345
Interquartile range (IQR)10

Descriptive statistics

Standard deviation51.081814
Coefficient of variation (CV)2.1828006
Kurtosis25.151377
Mean23.401961
Median Absolute Deviation (MAD)4
Skewness4.8628313
Sum2387
Variance2609.3517
MonotonicityNot monotonic
2024-01-10T06:01:48.046972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5 16
15.7%
10 16
15.7%
6 11
10.8%
8 8
 
7.8%
7 7
 
6.9%
12 5
 
4.9%
18 5
 
4.9%
9 4
 
3.9%
16 3
 
2.9%
14 3
 
2.9%
Other values (19) 24
23.5%
ValueCountFrequency (%)
5 16
15.7%
6 11
10.8%
7 7
6.9%
8 8
7.8%
9 4
 
3.9%
10 16
15.7%
11 2
 
2.0%
12 5
 
4.9%
14 3
 
2.9%
15 2
 
2.0%
ValueCountFrequency (%)
350 1
1.0%
278 1
1.0%
249 1
1.0%
116 1
1.0%
98 1
1.0%
85 1
1.0%
72 1
1.0%
60 1
1.0%
54 1
1.0%
44 1
1.0%

전화번호
Text

Distinct101
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-10T06:01:48.270079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1224
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

Unique100 ?
Unique (%)98.0%

Sample

1st row041-835-0030
2nd row041-833-3865
3rd row041-836-0210
4th row041-835-9733
5th row041-835-0270
ValueCountFrequency (%)
041-835-8555 2
 
2.0%
041-836-3131 1
 
1.0%
041-836-2564 1
 
1.0%
031-366-5757 1
 
1.0%
031-976-3000 1
 
1.0%
041-741-8305 1
 
1.0%
041-833-9655 1
 
1.0%
041-835-7977 1
 
1.0%
041-836-9973 1
 
1.0%
041-834-6556 1
 
1.0%
Other values (91) 91
89.2%
2024-01-10T06:01:48.604895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 204
16.7%
0 176
14.4%
3 156
12.7%
1 140
11.4%
8 136
11.1%
4 135
11.0%
5 67
 
5.5%
6 65
 
5.3%
2 60
 
4.9%
7 60
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1020
83.3%
Dash Punctuation 204
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
17.3%
3 156
15.3%
1 140
13.7%
8 136
13.3%
4 135
13.2%
5 67
 
6.6%
6 65
 
6.4%
2 60
 
5.9%
7 60
 
5.9%
9 25
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1224
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 204
16.7%
0 176
14.4%
3 156
12.7%
1 140
11.4%
8 136
11.1%
4 135
11.0%
5 67
 
5.5%
6 65
 
5.3%
2 60
 
4.9%
7 60
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 204
16.7%
0 176
14.4%
3 156
12.7%
1 140
11.4%
8 136
11.1%
4 135
11.0%
5 67
 
5.5%
6 65
 
5.3%
2 60
 
4.9%
7 60
 
4.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2021-09-24 00:00:00
Maximum2021-09-24 00:00:00
2024-01-10T06:01:48.729645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:01:48.816318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:01:45.366254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:01:48.884714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명주소생산품종업원수
도로명주소1.0000.9861.000
생산품0.9861.0001.000
종업원수1.0001.0001.000

Missing values

2024-01-10T06:01:45.489001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:01:45.585320image/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

업체명도로명주소생산품종업원수전화번호데이터기준일자
0(주) 건영에스피지충청남도 부여군 규암면 내동로 11금속 문, 창, 셔터 및 관련제품 제조업 외 1 종5041-835-00302021-09-24
1(주)계림폴리콘충청남도 부여군 임천면 가림로 618콘크리트 관 및 기타 구조용 콘크리트 제품 제조업 외 2 종16041-833-38652021-09-24
2(주)골든구스충청남도 부여군 석성면 석성남로 45부직포 및 펠트 제조업5041-836-02102021-09-24
3(주)광일산업충청남도 부여군 구룡면 흥수로 397-5판지 상자 및 용기 제조업10041-835-97332021-09-24
4(주)그린켐텍충청남도 부여군 석성면 석성로 224-7천막, 텐트 및 유사 제품 제조업 외 1 종8041-835-02702021-09-24
5(주)금강필텍충청남도 부여군 은산면 충의로622번길 23기체 여과기 제조업 외 1 종6041-832-32222021-09-24
6(주)네비엔 부여사업소충청남도 부여군 은산면 충의로622번길 38그 외 기타 분류 안된 화학제품 제조업 외 3 종10041-837-01262021-09-24
7(주)네오캠충청남도 부여군 석성면 증산천길 140천막, 텐트 및 유사 제품 제조업 외 3 종12041-837-37112021-09-24
8(주)대명철강충청남도 부여군 규암면 흥수로 530강관 제조업 외 3 종72041-836-95192021-09-24
9(주)동방아그로충청남도 부여군 양화면 충절로 148화학 살균.살충제 및 농업용 약제 제조업 외 2 종116041-830-46832021-09-24
업체명도로명주소생산품종업원수전화번호데이터기준일자
92충남제재소충청남도 부여군 석성면 석성북로 127일반 제재업5041-836-24082021-09-24
93칠성산업충청남도 부여군 규암면 함양리 500-1번지천막, 텐트 및 유사 제품 제조업 외 1 종6041-836-61632021-09-24
94케이제이티충청남도 부여군 구룡면 흥수로 347섬유제품 기타 정리 및 마무리 가공업10041-833-30882021-09-24
95코니아일랜드(주)충청남도 부여군 석성면 왕릉로 751 (총 3 필지)아이스크림 및 기타 식용빙과류 제조업12041-836-22532021-09-24
96태극제약(주)충청남도 부여군 초촌면 금백로 821완제 의약품 제조업 외 5 종98041-837-55302021-09-24
97한국장애인편의증진협의회(주)충청남도 부여군 은산면 충의로 600콘크리트 타일, 기와, 벽돌 및 블록 제조업 외 1 종5042-322-41122021-09-24
98한국조폐공사 부여조폐창충청남도 부여군 부여읍 염창로180번길 67인쇄용 및 필기용 원지 제조업 외 3 종278041-830-52032021-09-24
99한신이엔에스충청남도 부여군 장암면 위덕로445번길 40플라스틱 선, 봉, 관 및 호스 제조업18041-832-28882021-09-24
100한타산업충청남도 부여군 석성면 왕릉로 657천막, 텐트 및 유사 제품 제조업 외 1 종7041-836-29142021-09-24
101휴먼스화공(주)충청남도 부여군 초촌면 신암로 244화약 및 불꽃제품 제조업 외 1 종14041-832-77012021-09-24