Overview

Dataset statistics

Number of variables14
Number of observations72
Missing cells68
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory117.8 B

Variable types

Numeric4
Text8
Categorical1
DateTime1

Dataset

Description제조업체 등록현황(업체명,대표명,전화번호,팩스번호,공장대표주소,업종명,생산품)정보를 포함하는 데이터입니다.
URLhttps://www.data.go.kr/data/15034938/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 공장우편번호High correlation
공장우편번호 is highly overall correlated with 위도High correlation
소재지도로명주소 has 3 (4.2%) missing valuesMissing
전화번호 has 12 (16.7%) missing valuesMissing
팩스번호 has 34 (47.2%) missing valuesMissing
주원자재 has 19 (26.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:17:37.882634
Analysis finished2023-12-12 09:17:40.553863
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T18:17:40.629349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-12T18:17:40.783667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

회사명
Text

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T18:17:41.043166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length9.3055556
Min length3

Characters and Unicode

Total characters670
Distinct characters160
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)94.4%

Sample

1st row(압해읍공장)목포신안군농협조합공동사업법인
2nd row(유)소금나무
3rd row(유)송림산업 안좌지점
4th row(유)송백건설
5th row(유)신안레미콘
ValueCountFrequency (%)
주식회사 4
 
4.2%
농업회사법인 3
 
3.1%
영어조합법인 3
 
3.1%
신안바다영어조합법인 2
 
2.1%
대림산업(주 2
 
2.1%
북신안농협 2
 
2.1%
신안바다수산 1
 
1.0%
어업회사법인신의도천일염(주 1
 
1.0%
신안우럭(주 1
 
1.0%
어업회사법인 1
 
1.0%
Other values (76) 76
79.2%
2023-12-12T18:17:41.540902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 28
 
4.2%
) 28
 
4.2%
( 28
 
4.2%
사 26
 
3.9%
인 25
 
3.7%
신 25
 
3.7%
24
 
3.6%
법 23
 
3.4%
안 23
 
3.4%
업 21
 
3.1%
Other values (150) 419
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
86.4%
Close Punctuation 28
 
4.2%
Open Punctuation 28
 
4.2%
Space Separator 24
 
3.6%
Decimal Number 6
 
0.9%
Uppercase Letter 4
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
4.8%
사 26
 
4.5%
인 25
 
4.3%
신 25
 
4.3%
법 23
 
4.0%
안 23
 
4.0%
업 21
 
3.6%
회 18
 
3.1%
산 17
 
2.9%
영 15
 
2.6%
Other values (137) 358
61.8%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
1 1
16.7%
4 1
16.7%
2 1
16.7%
6 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
T 1
25.0%
L 1
25.0%
S 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
86.4%
Common 87
 
13.0%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
4.8%
사 26
 
4.5%
인 25
 
4.3%
신 25
 
4.3%
법 23
 
4.0%
안 23
 
4.0%
업 21
 
3.6%
회 18
 
3.1%
산 17
 
2.9%
영 15
 
2.6%
Other values (137) 358
61.8%
Common
ValueCountFrequency (%)
) 28
32.2%
( 28
32.2%
24
27.6%
0 2
 
2.3%
1 1
 
1.1%
4 1
 
1.1%
2 1
 
1.1%
6 1
 
1.1%
& 1
 
1.1%
Latin
ValueCountFrequency (%)
A 1
25.0%
T 1
25.0%
L 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
86.4%
ASCII 91
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 28
 
4.8%
사 26
 
4.5%
인 25
 
4.3%
신 25
 
4.3%
법 23
 
4.0%
안 23
 
4.0%
업 21
 
3.6%
회 18
 
3.1%
산 17
 
2.9%
영 15
 
2.6%
Other values (137) 358
61.8%
ASCII
ValueCountFrequency (%)
) 28
30.8%
( 28
30.8%
24
26.4%
0 2
 
2.2%
1 1
 
1.1%
4 1
 
1.1%
A 1
 
1.1%
2 1
 
1.1%
6 1
 
1.1%
& 1
 
1.1%
Other values (3) 3
 
3.3%

대표자명
Text

Distinct66
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T18:17:41.814831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0555556
Min length2

Characters and Unicode

Total characters220
Distinct characters95
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

Unique60 ?
Unique (%)83.3%

Sample

1st row정지만
2nd row정광식
3rd row김용수
4th row조은음
5th row최홍기
ValueCountFrequency (%)
정지만 2
 
2.8%
배창남 2
 
2.8%
박봉언 2
 
2.8%
김용수 2
 
2.8%
양동흠 2
 
2.8%
호병용 2
 
2.8%
박동민 1
 
1.4%
오정자 1
 
1.4%
박강준 1
 
1.4%
김남중 1
 
1.4%
Other values (56) 56
77.8%
2023-12-12T18:17:42.264902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 15
 
6.8%
박 11
 
5.0%
정 9
 
4.1%
영 6
 
2.7%
상 6
 
2.7%
이 5
 
2.3%
용 5
 
2.3%
수 5
 
2.3%
석 5
 
2.3%
동 5
 
2.3%
Other values (85) 148
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
99.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 15
 
6.8%
박 11
 
5.0%
정 9
 
4.1%
영 6
 
2.7%
상 6
 
2.7%
이 5
 
2.3%
용 5
 
2.3%
수 5
 
2.3%
석 5
 
2.3%
동 5
 
2.3%
Other values (84) 147
67.1%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 15
 
6.8%
박 11
 
5.0%
정 9
 
4.1%
영 6
 
2.7%
상 6
 
2.7%
이 5
 
2.3%
용 5
 
2.3%
수 5
 
2.3%
석 5
 
2.3%
동 5
 
2.3%
Other values (84) 147
67.1%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 15
 
6.8%
박 11
 
5.0%
정 9
 
4.1%
영 6
 
2.7%
상 6
 
2.7%
이 5
 
2.3%
용 5
 
2.3%
수 5
 
2.3%
석 5
 
2.3%
동 5
 
2.3%
Other values (84) 147
67.1%
ASCII
ValueCountFrequency (%)
, 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct64
Distinct (%)92.8%
Missing3
Missing (%)4.2%
Memory size708.0 B
2023-12-12T18:17:42.574113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length22.086957
Min length19

Characters and Unicode

Total characters1524
Distinct characters88
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

Unique59 ?
Unique (%)85.5%

Sample

1st row전라남도 신안군 압해읍 회룡길 51-113
2nd row전라남도 신안군 도초면 서남문로 1668
3rd row전라남도 신안군 안좌면 감바위길 172-26
4th row전라남도 신안군 암태면 중부로 1499
5th row전라남도 신안군 지도읍 동천길 1106-24
ValueCountFrequency (%)
전라남도 69
20.0%
신안군 69
20.0%
지도읍 21
 
6.1%
압해읍 18
 
5.2%
도초면 6
 
1.7%
서남문로 6
 
1.7%
해제지도로 5
 
1.4%
임자면 5
 
1.4%
두류산길 4
 
1.2%
증도면 4
 
1.2%
Other values (107) 138
40.0%
2023-12-12T18:17:43.380307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
18.1%
도 118
 
7.7%
남 76
 
5.0%
신 74
 
4.9%
안 72
 
4.7%
라 70
 
4.6%
군 69
 
4.5%
전 69
 
4.5%
1 68
 
4.5%
길 42
 
2.8%
Other values (78) 590
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 959
62.9%
Space Separator 276
 
18.1%
Decimal Number 259
 
17.0%
Dash Punctuation 30
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 118
 
12.3%
남 76
 
7.9%
신 74
 
7.7%
안 72
 
7.5%
라 70
 
7.3%
군 69
 
7.2%
전 69
 
7.2%
길 42
 
4.4%
읍 39
 
4.1%
지 35
 
3.6%
Other values (66) 295
30.8%
Decimal Number
ValueCountFrequency (%)
1 68
26.3%
2 32
12.4%
3 27
 
10.4%
0 23
 
8.9%
8 21
 
8.1%
5 20
 
7.7%
4 19
 
7.3%
7 19
 
7.3%
6 16
 
6.2%
9 14
 
5.4%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 959
62.9%
Common 565
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 118
 
12.3%
남 76
 
7.9%
신 74
 
7.7%
안 72
 
7.5%
라 70
 
7.3%
군 69
 
7.2%
전 69
 
7.2%
길 42
 
4.4%
읍 39
 
4.1%
지 35
 
3.6%
Other values (66) 295
30.8%
Common
ValueCountFrequency (%)
276
48.8%
1 68
 
12.0%
2 32
 
5.7%
- 30
 
5.3%
3 27
 
4.8%
0 23
 
4.1%
8 21
 
3.7%
5 20
 
3.5%
4 19
 
3.4%
7 19
 
3.4%
Other values (2) 30
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 959
62.9%
ASCII 565
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
48.8%
1 68
 
12.0%
2 32
 
5.7%
- 30
 
5.3%
3 27
 
4.8%
0 23
 
4.1%
8 21
 
3.7%
5 20
 
3.5%
4 19
 
3.4%
7 19
 
3.4%
Other values (2) 30
 
5.3%
Hangul
ValueCountFrequency (%)
도 118
 
12.3%
남 76
 
7.9%
신 74
 
7.7%
안 72
 
7.5%
라 70
 
7.3%
군 69
 
7.2%
전 69
 
7.2%
길 42
 
4.4%
읍 39
 
4.1%
지 35
 
3.6%
Other values (66) 295
30.8%

소재지지번주소
Text

Distinct67
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T18:17:43.735769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.458333
Min length18

Characters and Unicode

Total characters1545
Distinct characters81
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

Unique62 ?
Unique (%)86.1%

Sample

1st row전라남도 신안군 압해읍 신용리 697
2nd row전라남도 신안군 도초면 수항리 671
3rd row전라남도 신안군 안좌면 존포리 7
4th row전라남도 신안군 암태면 와촌리 2109-7
5th row전라남도 신안군 지도읍 자동리 1050
ValueCountFrequency (%)
전라남도 72
19.8%
신안군 72
19.8%
지도읍 21
 
5.8%
압해읍 19
 
5.2%
도초면 6
 
1.7%
복룡리 5
 
1.4%
감정리 5
 
1.4%
임자면 5
 
1.4%
탄동리 4
 
1.1%
분매리 4
 
1.1%
Other values (107) 150
41.3%
2023-12-12T18:17:44.213843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
19.0%
도 105
 
6.8%
신 78
 
5.0%
안 75
 
4.9%
라 73
 
4.7%
군 72
 
4.7%
리 72
 
4.7%
전 72
 
4.7%
남 72
 
4.7%
1 50
 
3.2%
Other values (71) 583
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 936
60.6%
Space Separator 293
 
19.0%
Decimal Number 272
 
17.6%
Dash Punctuation 44
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 105
11.2%
신 78
 
8.3%
안 75
 
8.0%
라 73
 
7.8%
군 72
 
7.7%
리 72
 
7.7%
전 72
 
7.7%
남 72
 
7.7%
읍 40
 
4.3%
면 32
 
3.4%
Other values (59) 245
26.2%
Decimal Number
ValueCountFrequency (%)
1 50
18.4%
8 29
10.7%
2 29
10.7%
0 26
9.6%
3 26
9.6%
6 24
8.8%
5 22
8.1%
9 22
8.1%
7 22
8.1%
4 22
8.1%
Space Separator
ValueCountFrequency (%)
293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 936
60.6%
Common 609
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 105
11.2%
신 78
 
8.3%
안 75
 
8.0%
라 73
 
7.8%
군 72
 
7.7%
리 72
 
7.7%
전 72
 
7.7%
남 72
 
7.7%
읍 40
 
4.3%
면 32
 
3.4%
Other values (59) 245
26.2%
Common
ValueCountFrequency (%)
293
48.1%
1 50
 
8.2%
- 44
 
7.2%
8 29
 
4.8%
2 29
 
4.8%
0 26
 
4.3%
3 26
 
4.3%
6 24
 
3.9%
5 22
 
3.6%
9 22
 
3.6%
Other values (2) 44
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 936
60.6%
ASCII 609
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
48.1%
1 50
 
8.2%
- 44
 
7.2%
8 29
 
4.8%
2 29
 
4.8%
0 26
 
4.3%
3 26
 
4.3%
6 24
 
3.9%
5 22
 
3.6%
9 22
 
3.6%
Other values (2) 44
 
7.2%
Hangul
ValueCountFrequency (%)
도 105
11.2%
신 78
 
8.3%
안 75
 
8.0%
라 73
 
7.8%
군 72
 
7.7%
리 72
 
7.7%
전 72
 
7.7%
남 72
 
7.7%
읍 40
 
4.3%
면 32
 
3.4%
Other values (59) 245
26.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct67
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.88733
Minimum34.05175
Maximum35.098748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T18:17:44.408313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.05175
5-th percentile34.611083
Q134.790833
median34.884873
Q335.058421
95-th percentile35.087689
Maximum35.098748
Range1.0469985
Interquartile range (IQR)0.26758794

Descriptive statistics

Standard deviation0.18447473
Coefficient of variation (CV)0.0052877285
Kurtosis4.3926853
Mean34.88733
Median Absolute Deviation (MAD)0.16761383
Skewness-1.450811
Sum2511.8878
Variance0.034030926
MonotonicityNot monotonic
2023-12-12T18:17:44.610929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.0367701443 2
 
2.8%
34.8590084121 2
 
2.8%
35.0613535925 2
 
2.8%
34.7020442427 2
 
2.8%
35.0629836218 2
 
2.8%
34.8409573 1
 
1.4%
34.5575718364 1
 
1.4%
34.862038891 1
 
1.4%
34.895756214 1
 
1.4%
34.8409029276 1
 
1.4%
Other values (57) 57
79.2%
ValueCountFrequency (%)
34.0517499543 1
1.4%
34.5565535557 1
1.4%
34.5575718364 1
1.4%
34.5868271282 1
1.4%
34.6309288188 1
1.4%
34.6455792132 1
1.4%
34.6835123465 1
1.4%
34.692457519 1
1.4%
34.6970416474 1
1.4%
34.7020442427 2
2.8%
ValueCountFrequency (%)
35.0987484398 1
1.4%
35.096673481 1
1.4%
35.0963455859 1
1.4%
35.0900493497 1
1.4%
35.0857582762 1
1.4%
35.0850557978 1
1.4%
35.0836227656 1
1.4%
35.0813774993 1
1.4%
35.0704593387 1
1.4%
35.070041597 1
1.4%

경도
Real number (ℝ)

Distinct67
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.14203
Minimum125.12465
Maximum126.35384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T18:17:44.781944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.12465
5-th percentile125.9329
Q1126.10923
median126.18301
Q3126.24784
95-th percentile126.33796
Maximum126.35384
Range1.2291909
Interquartile range (IQR)0.13860708

Descriptive statistics

Standard deviation0.20711256
Coefficient of variation (CV)0.0016418997
Kurtosis10.468449
Mean126.14203
Median Absolute Deviation (MAD)0.073860555
Skewness-2.8568595
Sum9082.2261
Variance0.042895613
MonotonicityNot monotonic
2023-12-12T18:17:44.975394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.1933224019 2
 
2.8%
126.346430994 2
 
2.8%
126.2346423495 2
 
2.8%
125.9542360926 2
 
2.8%
126.1914153206 2
 
2.8%
126.262234 1
 
1.4%
126.0671729666 1
 
1.4%
126.3538405992 1
 
1.4%
126.3388513591 1
 
1.4%
126.2632061439 1
 
1.4%
Other values (57) 57
79.2%
ValueCountFrequency (%)
125.1246496763 1
1.4%
125.4108536485 1
1.4%
125.4384045909 1
1.4%
125.9296040592 1
1.4%
125.9355918192 1
1.4%
125.9400422694 1
1.4%
125.9499405456 1
1.4%
125.9530479685 1
1.4%
125.9542360926 2
2.8%
125.9632911753 1
1.4%
ValueCountFrequency (%)
126.3538405992 1
1.4%
126.346430994 2
2.8%
126.3388513591 1
1.4%
126.3372372368 1
1.4%
126.336316 1
1.4%
126.3338003204 1
1.4%
126.3277351128 1
1.4%
126.3231237546 1
1.4%
126.3225805154 1
1.4%
126.321052212 1
1.4%

공장우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78701.583
Minimum58801
Maximum535884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T18:17:45.113318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58801
5-th percentile58806
Q158813.5
median58820
Q358841.25
95-th percentile58864.35
Maximum535884
Range477083
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation95991.671
Coefficient of variation (CV)1.2196917
Kurtosis20.523466
Mean78701.583
Median Absolute Deviation (MAD)9.5
Skewness4.685502
Sum5666514
Variance9.2144008 × 109
MonotonicityNot monotonic
2023-12-12T18:17:45.250900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
58815 7
 
9.7%
58820 7
 
9.7%
58814 5
 
6.9%
58812 5
 
6.9%
58851 4
 
5.6%
58823 4
 
5.6%
58825 4
 
5.6%
58808 4
 
5.6%
58810 3
 
4.2%
58806 3
 
4.2%
Other values (22) 26
36.1%
ValueCountFrequency (%)
58801 1
 
1.4%
58802 1
 
1.4%
58806 3
4.2%
58808 4
5.6%
58810 3
4.2%
58811 1
 
1.4%
58812 5
6.9%
58814 5
6.9%
58815 7
9.7%
58820 7
9.7%
ValueCountFrequency (%)
535884 1
 
1.4%
535862 1
 
1.4%
535814 1
 
1.4%
58866 1
 
1.4%
58863 2
2.8%
58859 1
 
1.4%
58858 2
2.8%
58857 1
 
1.4%
58852 1
 
1.4%
58851 4
5.6%

업종명
Categorical

Distinct29
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
수산식물 가공 및 저장 처리업
15 
레미콘 제조업
9 
기타 식품 첨가물 제조업
8 
가공 및 정제염 제조업
8 
기타 과실ㆍ채소 가공 및 저장 처리업
5 
Other values (24)
27 

Length

Max length31
Median length23
Mean length14.097222
Min length6

Unique

Unique22 ?
Unique (%)30.6%

Sample

1st row기타 과실ㆍ채소 가공 및 저장 처리업
2nd row기타 식품 첨가물 제조업
3rd row레미콘 제조업
4th row레미콘 제조업
5th row레미콘 제조업

Common Values

ValueCountFrequency (%)
수산식물 가공 및 저장 처리업 15
20.8%
레미콘 제조업 9
12.5%
기타 식품 첨가물 제조업 8
11.1%
가공 및 정제염 제조업 8
11.1%
기타 과실ㆍ채소 가공 및 저장 처리업 5
 
6.9%
그 외 기타 식료품 제조업 3
 
4.2%
장류 제조업 2
 
2.8%
합성수지선 건조업 1
 
1.4%
곡물 도정업 1
 
1.4%
생물 살균.살충제 및 식물보호제 제조업 1
 
1.4%
Other values (19) 19
26.4%

Length

2023-12-12T18:17:45.415006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 46
14.2%
및 39
12.0%
가공 32
 
9.9%
저장 22
 
6.8%
처리업 22
 
6.8%
기타 22
 
6.8%
수산식물 16
 
4.9%
외 13
 
4.0%
종 10
 
3.1%
레미콘 9
 
2.8%
Other values (44) 93
28.7%

전화번호
Text

MISSING 

Distinct56
Distinct (%)93.3%
Missing12
Missing (%)16.7%
Memory size708.0 B
2023-12-12T18:17:45.669295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.983333
Min length11

Characters and Unicode

Total characters719
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

Unique52 ?
Unique (%)86.7%

Sample

1st row061-246-0057
2nd row061-275-1004
3rd row061-281-8557
4th row061-279-5212
5th row061-261-3100
ValueCountFrequency (%)
061-281-8557 2
 
3.3%
061-246-0057 2
 
3.3%
061-262-3355 2
 
3.3%
061-275-2330 2
 
3.3%
061-275-1565 1
 
1.7%
02-569-5956 1
 
1.7%
061-275-8034 1
 
1.7%
061-261-4101 1
 
1.7%
061-275-8448 1
 
1.7%
062-363-0780 1
 
1.7%
Other values (46) 46
76.7%
2023-12-12T18:17:46.047159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
16.7%
0 109
15.2%
1 99
13.8%
6 91
12.7%
2 88
12.2%
5 63
8.8%
7 43
 
6.0%
3 32
 
4.5%
8 29
 
4.0%
4 26
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 599
83.3%
Dash Punctuation 120
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 109
18.2%
1 99
16.5%
6 91
15.2%
2 88
14.7%
5 63
10.5%
7 43
 
7.2%
3 32
 
5.3%
8 29
 
4.8%
4 26
 
4.3%
9 19
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
16.7%
0 109
15.2%
1 99
13.8%
6 91
12.7%
2 88
12.2%
5 63
8.8%
7 43
 
6.0%
3 32
 
4.5%
8 29
 
4.0%
4 26
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
16.7%
0 109
15.2%
1 99
13.8%
6 91
12.7%
2 88
12.2%
5 63
8.8%
7 43
 
6.0%
3 32
 
4.5%
8 29
 
4.0%
4 26
 
3.6%

팩스번호
Text

MISSING 

Distinct37
Distinct (%)97.4%
Missing34
Missing (%)47.2%
Memory size708.0 B
2023-12-12T18:17:46.296672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters456
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

Unique36 ?
Unique (%)94.7%

Sample

1st row061-246-0060
2nd row061-261-1700
3rd row061-261-3205
4th row061-246-7311
5th row061-275-2338
ValueCountFrequency (%)
061-246-0060 2
 
5.3%
061-275-1900 1
 
2.6%
061-245-4984 1
 
2.6%
061-246-3203 1
 
2.6%
061-261-4101 1
 
2.6%
061-275-8448 1
 
2.6%
062-363-0791 1
 
2.6%
061-276-3929 1
 
2.6%
061-246-5327 1
 
2.6%
061-271-3270 1
 
2.6%
Other values (27) 27
71.1%
2023-12-12T18:17:46.673435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.7%
0 67
14.7%
6 63
13.8%
1 61
13.4%
2 59
12.9%
7 31
6.8%
5 26
 
5.7%
3 25
 
5.5%
4 22
 
4.8%
8 13
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
17.6%
6 63
16.6%
1 61
16.1%
2 59
15.5%
7 31
8.2%
5 26
 
6.8%
3 25
 
6.6%
4 22
 
5.8%
8 13
 
3.4%
9 13
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.7%
0 67
14.7%
6 63
13.8%
1 61
13.4%
2 59
12.9%
7 31
6.8%
5 26
 
5.7%
3 25
 
5.5%
4 22
 
4.8%
8 13
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.7%
0 67
14.7%
6 63
13.8%
1 61
13.4%
2 59
12.9%
7 31
6.8%
5 26
 
5.7%
3 25
 
5.5%
4 22
 
4.8%
8 13
 
2.9%

생산품
Text

Distinct55
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T18:17:46.946973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.3055556
Min length1

Characters and Unicode

Total characters526
Distinct characters138
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)66.7%

Sample

1st row깐마늘, 다짐마늘, 흑마늘, 흑마늘 진액
2nd row기타식품첨가물제조업
3rd row레미콘
4th row레미콘
5th row레미콘
ValueCountFrequency (%)
레미콘 8
 
7.4%
마른김 5
 
4.6%
천일염 4
 
3.7%
및 4
 
3.7%
김 3
 
2.8%
조미김 3
 
2.8%
등 3
 
2.8%
절임배추 2
 
1.9%
구운소금 2
 
1.9%
가공염 2
 
1.9%
Other values (69) 72
66.7%
2023-12-12T18:17:47.402449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 41
 
7.8%
36
 
6.8%
금 20
 
3.8%
조 19
 
3.6%
미 18
 
3.4%
김 18
 
3.4%
소 18
 
3.4%
염 17
 
3.2%
가 13
 
2.5%
일 12
 
2.3%
Other values (128) 314
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 437
83.1%
Other Punctuation 41
 
7.8%
Space Separator 36
 
6.8%
Open Punctuation 6
 
1.1%
Close Punctuation 6
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 20
 
4.6%
조 19
 
4.3%
미 18
 
4.1%
김 18
 
4.1%
소 18
 
4.1%
염 17
 
3.9%
가 13
 
3.0%
일 12
 
2.7%
장 12
 
2.7%
천 10
 
2.3%
Other values (124) 280
64.1%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 437
83.1%
Common 89
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 20
 
4.6%
조 19
 
4.3%
미 18
 
4.1%
김 18
 
4.1%
소 18
 
4.1%
염 17
 
3.9%
가 13
 
3.0%
일 12
 
2.7%
장 12
 
2.7%
천 10
 
2.3%
Other values (124) 280
64.1%
Common
ValueCountFrequency (%)
, 41
46.1%
36
40.4%
( 6
 
6.7%
) 6
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 437
83.1%
ASCII 89
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 41
46.1%
36
40.4%
( 6
 
6.7%
) 6
 
6.7%
Hangul
ValueCountFrequency (%)
금 20
 
4.6%
조 19
 
4.3%
미 18
 
4.1%
김 18
 
4.1%
소 18
 
4.1%
염 17
 
3.9%
가 13
 
3.0%
일 12
 
2.7%
장 12
 
2.7%
천 10
 
2.3%
Other values (124) 280
64.1%

주원자재
Text

MISSING 

Distinct32
Distinct (%)60.4%
Missing19
Missing (%)26.4%
Memory size708.0 B
2023-12-12T18:17:47.640831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length5.3396226
Min length1

Characters and Unicode

Total characters283
Distinct characters99
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)49.1%

Sample

1st row마늘
2nd row천일염
3rd row시멘트
4th row모래
5th row함초
ValueCountFrequency (%)
천일염 9
 
12.7%
김 8
 
11.3%
시멘트 4
 
5.6%
소금 4
 
5.6%
함초 3
 
4.2%
등 3
 
4.2%
물김 2
 
2.8%
물김원초 1
 
1.4%
고구마 1
 
1.4%
레미콘 1
 
1.4%
Other values (35) 35
49.3%
2023-12-12T18:17:48.022389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 34
 
12.0%
18
 
6.4%
염 14
 
4.9%
김 12
 
4.2%
일 11
 
3.9%
천 10
 
3.5%
물 9
 
3.2%
추 8
 
2.8%
금 7
 
2.5%
소 6
 
2.1%
Other values (89) 154
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
81.6%
Other Punctuation 34
 
12.0%
Space Separator 18
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
염 14
 
6.1%
김 12
 
5.2%
일 11
 
4.8%
천 10
 
4.3%
물 9
 
3.9%
추 8
 
3.5%
금 7
 
3.0%
소 6
 
2.6%
시 6
 
2.6%
초 5
 
2.2%
Other values (87) 143
61.9%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
81.6%
Common 52
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
염 14
 
6.1%
김 12
 
5.2%
일 11
 
4.8%
천 10
 
4.3%
물 9
 
3.9%
추 8
 
3.5%
금 7
 
3.0%
소 6
 
2.6%
시 6
 
2.6%
초 5
 
2.2%
Other values (87) 143
61.9%
Common
ValueCountFrequency (%)
, 34
65.4%
18
34.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
81.6%
ASCII 52
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 34
65.4%
18
34.6%
Hangul
ValueCountFrequency (%)
염 14
 
6.1%
김 12
 
5.2%
일 11
 
4.8%
천 10
 
4.3%
물 9
 
3.9%
추 8
 
3.5%
금 7
 
3.0%
소 6
 
2.6%
시 6
 
2.6%
초 5
 
2.2%
Other values (87) 143
61.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2023-06-22 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T18:17:48.169717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:48.273753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:17:39.910562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.000425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.332778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.612630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.984457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.084898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.405070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.687993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:40.064427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.163062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.475327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.763777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:40.135093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.255184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.545753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:17:39.840352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:17:48.369543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회사명대표자명소재지도로명주소소재지지번주소위도경도공장우편번호업종명전화번호팩스번호생산품주원자재
연번1.0000.9780.9170.9260.9320.1520.1630.0000.6040.9320.9270.5570.000
회사명0.9781.0000.9890.9930.9820.9870.9591.0001.0000.9910.9940.9991.000
대표자명0.9170.9891.0000.9830.9850.9200.9771.0000.9901.0001.0000.9800.993
소재지도로명주소0.9260.9930.9831.0001.0001.0001.000NaN0.9410.9900.9750.8420.941
소재지지번주소0.9320.9820.9851.0001.0001.0001.0001.0000.9420.9910.9790.7730.937
위도0.1520.9870.9201.0001.0001.0000.8120.0000.0000.8490.9240.9100.442
경도0.1630.9590.9771.0001.0000.8121.0000.0000.0000.9410.8410.9700.773
공장우편번호0.0001.0001.000NaN1.0000.0000.0001.0000.3801.0001.0000.0000.483
업종명0.6041.0000.9900.9410.9420.0000.0000.3801.0000.9931.0000.9980.993
전화번호0.9320.9911.0000.9900.9910.8490.9411.0000.9931.0001.0000.9690.986
팩스번호0.9270.9941.0000.9750.9790.9240.8411.0001.0001.0001.0000.9710.948
생산품0.5570.9990.9800.8420.7730.9100.9700.0000.9980.9690.9711.0000.983
주원자재0.0001.0000.9930.9410.9370.4420.7730.4830.9930.9860.9480.9831.000
2023-12-12T18:17:48.530474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도공장우편번호업종명
연번1.0000.0570.140-0.0690.204
위도0.0571.0000.306-0.9120.000
경도0.1400.3061.000-0.2600.000
공장우편번호-0.069-0.912-0.2601.0000.256
업종명0.2040.0000.0000.2561.000

Missing values

2023-12-12T18:17:40.236753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:17:40.393495image/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.
2023-12-12T18:17:40.497082image/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

연번회사명대표자명소재지도로명주소소재지지번주소위도경도공장우편번호업종명전화번호팩스번호생산품주원자재데이터기준일자
01(압해읍공장)목포신안군농협조합공동사업법인정지만전라남도 신안군 압해읍 회룡길 51-113전라남도 신안군 압해읍 신용리 69734.875277126.29411658821기타 과실ㆍ채소 가공 및 저장 처리업061-246-0057061-246-0060깐마늘, 다짐마늘, 흑마늘, 흑마늘 진액마늘2023-06-22
12(유)소금나무정광식전라남도 신안군 도초면 서남문로 1668전라남도 신안군 도초면 수항리 67134.692458125.96329158851기타 식품 첨가물 제조업061-275-1004<NA>기타식품첨가물제조업천일염2023-06-22
23(유)송림산업 안좌지점김용수전라남도 신안군 안좌면 감바위길 172-26전라남도 신안군 안좌면 존포리 734.708615126.15559158841레미콘 제조업061-281-8557<NA>레미콘시멘트2023-06-22
34(유)송백건설조은음전라남도 신안군 암태면 중부로 1499전라남도 신안군 암태면 와촌리 2109-734.801352126.11684558836레미콘 제조업061-279-5212<NA>레미콘모래2023-06-22
45(유)신안레미콘최홍기전라남도 신안군 지도읍 동천길 1106-24전라남도 신안군 지도읍 자동리 105035.058151126.24461358815레미콘 제조업061-261-3100061-261-1700레미콘<NA>2023-06-22
56(유)왕성레미콘고경훈전라남도 신안군 도초면 서남문로 1320전라남도 신안군 도초면 발매리 4934.71071125.93559258852레미콘 제조업061-275-5580<NA>시멘트<NA>2023-06-22
67(주)다사랑양동흠전라남도 신안군 지도읍 동천길 1100전라남도 신안군 지도읍 자동리 585-135.05926126.24137458815그 외 기타 식료품 제조업061-262-3355<NA>함초식품함초2023-06-22
78(주)무궁화레미콘정은진전라남도 신안군 임자면 임자로 124전라남도 신안군 임자면 진리 458-3035.085758126.10979958802레미콘 제조업061-275-3205061-261-3205레미콘시멘트,자갈,모래2023-06-22
89(주)섬바다갯벌 농업회사법인오상운전라남도 신안군 압해읍 남세촌길 80-37전라남도 신안군 압해읍 복룡리 87134.892456126.333858820김치류 제조업 외 1 종061-274-4886<NA>절임배추<NA>2023-06-22
910(주)신안메이드이상학전라남도 신안군 신의면 동리선착장길 67-28전라남도 신안군 신의면 상태동리 57-44334.586827126.10551358857천연 및 혼합조제 조미료 제조업061-271-1001<NA>천일염,구운소금,구운함초녹차소금,자염<NA>2023-06-22
연번회사명대표자명소재지도로명주소소재지지번주소위도경도공장우편번호업종명전화번호팩스번호생산품주원자재데이터기준일자
6263주식회사 다도해어업회사법인박우성전라남도 신안군 압해읍 압해로 1832-40전라남도 신안군 압해읍 송공리 산20834.852351126.23036858822수산식물 가공 및 저장 처리업061-262-0011061-262-0012마른김물김원초2023-06-22
6364주식회사 신안씨푸드박성수전라남도 신안군 압해읍 복룡로 368-24전라남도 신안군 압해읍 학교리 132-1434.884484126.32258158820수산식물 가공 및 저장 처리업061-275-2400061-275-2402건조김, 조미김물김2023-06-22
6465주식회사 천사친환경연구소임춘근전라남도 신안군 압해읍 송림양알길 66-1전라남도 신안군 압해읍 복룡리 79134.895197126.33631658820복합비료 및 기타 화학비료 제조업<NA><NA>미량요소복합비료미량원소2023-06-22
6566주식회사송강레미콘김인영전라남도 신안군 지도읍 해제지도로 1140전라남도 신안군 지도읍 광정리 64335.059232126.22084658815레미콘 제조업061-275-6001061-275-6304레미콘레미콘2023-06-22
6667천사섬함초영농조합법인김상석전라남도 신안군 자은면 두봉길 65전라남도 신안군 자은면 유각리 36-6934.863809126.06740558830기타 과실ㆍ채소 가공 및 저장 처리업061-271-8900<NA>함초즙함초2023-06-22
6768퍼펙트솔트주식회사임채구전라남도 신안군 도초면 서남문로 1508전라남도 신안군 도초면 수항리 148234.702243125.95304858851기타 식품 첨가물 제조업061-215-1515<NA>우리아가소금,함초소금,강황소금,모링가소금국내산 천일염2023-06-22
6869하늘이 준 선물(주)어업회사법인박노환전라남도 신안군 지도읍 두류산길 130전라남도 신안군 지도읍 감정리 648-135.070042126.18718358812가공 및 정제염 제조업061-283-5430061-284-5430소금<NA>2023-06-22
6970함초원김숙전라남도 신안군 지도읍 사옥길 109전라남도 신안군 지도읍 탄동리 88235.041808126.18276358814장류 제조업061-275-1565<NA>고추장,된장,간장,청국장<NA>2023-06-22
7071형제수산 영어조합법인주정호전라남도 신안군 지도읍 봉리길 1111전라남도 신안군 지도읍 봉리 2587-135.096346126.16101158810수산식물 가공 및 저장 처리업061-240-8341<NA>마른김김2023-06-22
7172홍도식품오인석전라남도 신안군 압해읍 압해로 1465전라남도 신안군 압해읍 대천리 796-134.856167126.26146658823수산식물 가공 및 저장 처리업 외 2 종061-282-5450061-282-5460마른김, 조미김,김스낵,천일염,천연조미료분말물김,천일염,표고버섯2023-06-22