Overview

Dataset statistics

Number of variables10
Number of observations661
Missing cells260
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.4 KiB
Average record size in memory81.2 B

Variable types

Text8
Numeric1
DateTime1

Dataset

Description강원특별자치도 춘천시에서 운영중인 제조업 공장에 대한 회사명, 대표자명, 전화번호, 팩스번호, 종업원수, 업종명, 생산품, 주소에 대한 자료
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15034973/fileData.do

Alerts

기준일자 has constant value ""Constant
전화번호 has 85 (12.9%) missing valuesMissing
팩스번호 has 170 (25.7%) missing valuesMissing
종업원수 has 26 (3.9%) zerosZeros

Reproduction

Analysis started2024-03-14 22:52:54.989002
Analysis finished2024-03-14 22:52:58.059439
Duration3.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct648
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-15T07:52:58.803367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.6248109
Min length2

Characters and Unicode

Total characters5040
Distinct characters417
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique635 ?
Unique (%)96.1%

Sample

1st row 온코트피엔에스
2nd row(사)한국지체장애인협회춘천시장애인근로사업장
3rd row(신)챔프가구산업
4th row(유)제일이엔지
5th row(재)춘천바이오산업진흥원(1~3동)
ValueCountFrequency (%)
주식회사 118
 
14.4%
제2공장 4
 
0.5%
바디텍메드(주 3
 
0.4%
유한회사 3
 
0.4%
주)현진 2
 
0.2%
현대파크 2
 
0.2%
농업회사법인 2
 
0.2%
주)누림 2
 
0.2%
주)글로벌강원무역 2
 
0.2%
주)아크로스 2
 
0.2%
Other values (666) 682
83.0%
2024-03-15T07:53:00.160390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 440
 
8.7%
( 316
 
6.3%
) 316
 
6.3%
이 183
 
3.6%
사 178
 
3.5%
식 167
 
3.3%
163
 
3.2%
회 161
 
3.2%
스 113
 
2.2%
에 74
 
1.5%
Other values (407) 2929
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4177
82.9%
Open Punctuation 316
 
6.3%
Close Punctuation 316
 
6.3%
Space Separator 163
 
3.2%
Uppercase Letter 34
 
0.7%
Decimal Number 18
 
0.4%
Lowercase Letter 6
 
0.1%
Other Punctuation 4
 
0.1%
Dash Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 440
 
10.5%
이 183
 
4.4%
사 178
 
4.3%
식 167
 
4.0%
회 161
 
3.9%
스 113
 
2.7%
에 74
 
1.8%
업 70
 
1.7%
산 55
 
1.3%
지 52
 
1.2%
Other values (371) 2684
64.3%
Uppercase Letter
ValueCountFrequency (%)
S 6
17.6%
B 4
11.8%
N 3
8.8%
A 3
8.8%
I 2
 
5.9%
G 2
 
5.9%
D 2
 
5.9%
E 2
 
5.9%
C 2
 
5.9%
P 1
 
2.9%
Other values (7) 7
20.6%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
3 3
 
16.7%
1 3
 
16.7%
5 1
 
5.6%
4 1
 
5.6%
6 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
i 1
16.7%
g 1
16.7%
h 1
16.7%
t 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
· 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
100.0%
Space Separator
ValueCountFrequency (%)
163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4177
82.9%
Common 822
 
16.3%
Latin 40
 
0.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 440
 
10.5%
이 183
 
4.4%
사 178
 
4.3%
식 167
 
4.0%
회 161
 
3.9%
스 113
 
2.7%
에 74
 
1.8%
업 70
 
1.7%
산 55
 
1.3%
지 52
 
1.2%
Other values (371) 2684
64.3%
Latin
ValueCountFrequency (%)
S 6
15.0%
B 4
 
10.0%
N 3
 
7.5%
A 3
 
7.5%
I 2
 
5.0%
G 2
 
5.0%
D 2
 
5.0%
E 2
 
5.0%
C 2
 
5.0%
s 2
 
5.0%
Other values (12) 12
30.0%
Common
ValueCountFrequency (%)
( 316
38.4%
) 316
38.4%
163
19.8%
2 9
 
1.1%
& 3
 
0.4%
- 3
 
0.4%
3 3
 
0.4%
1 3
 
0.4%
~ 2
 
0.2%
5 1
 
0.1%
Other values (3) 3
 
0.4%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4176
82.9%
ASCII 861
 
17.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 440
 
10.5%
이 183
 
4.4%
사 178
 
4.3%
식 167
 
4.0%
회 161
 
3.9%
스 113
 
2.7%
에 74
 
1.8%
업 70
 
1.7%
산 55
 
1.3%
지 52
 
1.2%
Other values (370) 2683
64.2%
ASCII
ValueCountFrequency (%)
( 316
36.7%
) 316
36.7%
163
18.9%
2 9
 
1.0%
S 6
 
0.7%
B 4
 
0.5%
& 3
 
0.3%
N 3
 
0.3%
A 3
 
0.3%
- 3
 
0.3%
Other values (24) 35
 
4.1%
CJK
ValueCountFrequency (%)
愛 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%

대표자명
Text

Distinct603
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-15T07:53:01.612884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.2208775
Min length2

Characters and Unicode

Total characters2129
Distinct characters213
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

Unique550 ?
Unique (%)83.2%

Sample

1st row김현아
2nd row박유찬
3rd row이용광
4th row장현춘
5th row진흥원장
ValueCountFrequency (%)
이관형 4
 
0.6%
최의열 3
 
0.4%
민영홍 3
 
0.4%
진흥원장 3
 
0.4%
노경아 2
 
0.3%
이학서 2
 
0.3%
김기환 2
 
0.3%
박승광 2
 
0.3%
김정훈 2
 
0.3%
임혜원 2
 
0.3%
Other values (615) 660
96.4%
2024-03-15T07:53:03.104449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 142
 
6.7%
이 103
 
4.8%
정 66
 
3.1%
영 58
 
2.7%
박 48
 
2.3%
수 45
 
2.1%
경 45
 
2.1%
성 41
 
1.9%
진 38
 
1.8%
최 37
 
1.7%
Other values (203) 1506
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2050
96.3%
Space Separator 25
 
1.2%
Uppercase Letter 24
 
1.1%
Other Punctuation 17
 
0.8%
Decimal Number 5
 
0.2%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 142
 
6.9%
이 103
 
5.0%
정 66
 
3.2%
영 58
 
2.8%
박 48
 
2.3%
수 45
 
2.2%
경 45
 
2.2%
성 41
 
2.0%
진 38
 
1.9%
최 37
 
1.8%
Other values (182) 1427
69.6%
Uppercase Letter
ValueCountFrequency (%)
N 4
16.7%
U 3
12.5%
S 2
 
8.3%
O 2
 
8.3%
R 2
 
8.3%
V 1
 
4.2%
E 1
 
4.2%
I 1
 
4.2%
D 1
 
4.2%
B 1
 
4.2%
Other values (6) 6
25.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2050
96.3%
Common 55
 
2.6%
Latin 24
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 142
 
6.9%
이 103
 
5.0%
정 66
 
3.2%
영 58
 
2.8%
박 48
 
2.3%
수 45
 
2.2%
경 45
 
2.2%
성 41
 
2.0%
진 38
 
1.9%
최 37
 
1.8%
Other values (182) 1427
69.6%
Latin
ValueCountFrequency (%)
N 4
16.7%
U 3
12.5%
S 2
 
8.3%
O 2
 
8.3%
R 2
 
8.3%
V 1
 
4.2%
E 1
 
4.2%
I 1
 
4.2%
D 1
 
4.2%
B 1
 
4.2%
Other values (6) 6
25.0%
Common
ValueCountFrequency (%)
25
45.5%
, 17
30.9%
1 5
 
9.1%
( 4
 
7.3%
) 4
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2050
96.3%
ASCII 79
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 142
 
6.9%
이 103
 
5.0%
정 66
 
3.2%
영 58
 
2.8%
박 48
 
2.3%
수 45
 
2.2%
경 45
 
2.2%
성 41
 
2.0%
진 38
 
1.9%
최 37
 
1.8%
Other values (182) 1427
69.6%
ASCII
ValueCountFrequency (%)
25
31.6%
, 17
21.5%
1 5
 
6.3%
( 4
 
5.1%
) 4
 
5.1%
N 4
 
5.1%
U 3
 
3.8%
S 2
 
2.5%
O 2
 
2.5%
R 2
 
2.5%
Other values (11) 11
13.9%

전화번호
Text

MISSING 

Distinct537
Distinct (%)93.2%
Missing85
Missing (%)12.9%
Memory size5.3 KiB
2024-03-15T07:53:03.934097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.057292
Min length11

Characters and Unicode

Total characters6945
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)86.8%

Sample

1st row033-242-3526
2nd row033-262-1440
3rd row033-263-6927
4th row033-258-6944
5th row033-258-6941
ValueCountFrequency (%)
033-245-8024 3
 
0.5%
033-243-1400 3
 
0.5%
033-263-1360 2
 
0.3%
033-264-3111 2
 
0.3%
033-264-3700 2
 
0.3%
033-241-6448 2
 
0.3%
033-1661-4110 2
 
0.3%
033-241-9970 2
 
0.3%
033-258-6258 2
 
0.3%
033-264-7763 2
 
0.3%
Other values (527) 554
96.2%
2024-03-15T07:53:05.273757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1402
20.2%
- 1152
16.6%
0 992
14.3%
2 870
12.5%
6 467
 
6.7%
5 430
 
6.2%
4 418
 
6.0%
1 418
 
6.0%
8 296
 
4.3%
7 282
 
4.1%
Other values (4) 218
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5787
83.3%
Dash Punctuation 1152
 
16.6%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1402
24.2%
0 992
17.1%
2 870
15.0%
6 467
 
8.1%
5 430
 
7.4%
4 418
 
7.2%
1 418
 
7.2%
8 296
 
5.1%
7 282
 
4.9%
9 212
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6939
99.9%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1402
20.2%
- 1152
16.6%
0 992
14.3%
2 870
12.5%
6 467
 
6.7%
5 430
 
6.2%
4 418
 
6.0%
1 418
 
6.0%
8 296
 
4.3%
7 282
 
4.1%
Latin
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6945
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1402
20.2%
- 1152
16.6%
0 992
14.3%
2 870
12.5%
6 467
 
6.7%
5 430
 
6.2%
4 418
 
6.0%
1 418
 
6.0%
8 296
 
4.3%
7 282
 
4.1%
Other values (4) 218
 
3.1%

팩스번호
Text

MISSING 

Distinct453
Distinct (%)92.3%
Missing170
Missing (%)25.7%
Memory size5.3 KiB
2024-03-15T07:53:06.204132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.08554
Min length9

Characters and Unicode

Total characters5934
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

Unique420 ?
Unique (%)85.5%

Sample

1st row033-242-3520
2nd row033-262-4449
3rd row033-263-6929
4th row033-258-6170
5th row041-415-1001
ValueCountFrequency (%)
033-245-8099 4
 
0.8%
033-250-1101 3
 
0.6%
033-263-1432 3
 
0.6%
031-498-8254 3
 
0.6%
033-258-6099 2
 
0.4%
033-263-1780 2
 
0.4%
033-263-1370 2
 
0.4%
033-256-3379 2
 
0.4%
033-241-5992 2
 
0.4%
033-258-6259 2
 
0.4%
Other values (443) 466
94.9%
2024-03-15T07:53:07.280592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1205
20.3%
- 978
16.5%
0 800
13.5%
2 716
12.1%
4 415
 
7.0%
5 396
 
6.7%
6 394
 
6.6%
1 318
 
5.4%
8 264
 
4.4%
7 236
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4956
83.5%
Dash Punctuation 978
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1205
24.3%
0 800
16.1%
2 716
14.4%
4 415
 
8.4%
5 396
 
8.0%
6 394
 
7.9%
1 318
 
6.4%
8 264
 
5.3%
7 236
 
4.8%
9 212
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 978
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1205
20.3%
- 978
16.5%
0 800
13.5%
2 716
12.1%
4 415
 
7.0%
5 396
 
6.7%
6 394
 
6.6%
1 318
 
5.4%
8 264
 
4.4%
7 236
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1205
20.3%
- 978
16.5%
0 800
13.5%
2 716
12.1%
4 415
 
7.0%
5 396
 
6.7%
6 394
 
6.6%
1 318
 
5.4%
8 264
 
4.4%
7 236
 
4.0%

종업원수
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.320726
Minimum0
Maximum290
Zeros26
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-03-15T07:53:07.545325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile45
Maximum290
Range290
Interquartile range (IQR)7

Descriptive statistics

Standard deviation29.377842
Coefficient of variation (CV)2.3844245
Kurtosis43.986706
Mean12.320726
Median Absolute Deviation (MAD)3
Skewness6.1777435
Sum8144
Variance863.05758
MonotonicityNot monotonic
2024-03-15T07:53:07.869189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 91
13.8%
4 66
 
10.0%
5 64
 
9.7%
1 60
 
9.1%
2 60
 
9.1%
6 45
 
6.8%
8 31
 
4.7%
0 26
 
3.9%
7 26
 
3.9%
10 22
 
3.3%
Other values (52) 170
25.7%
ValueCountFrequency (%)
0 26
 
3.9%
1 60
9.1%
2 60
9.1%
3 91
13.8%
4 66
10.0%
5 64
9.7%
6 45
6.8%
7 26
 
3.9%
8 31
 
4.7%
9 21
 
3.2%
ValueCountFrequency (%)
290 1
0.2%
280 1
0.2%
248 1
0.2%
217 2
0.3%
212 1
0.2%
198 1
0.2%
187 1
0.2%
165 1
0.2%
163 1
0.2%
119 1
0.2%

업종명
Text

Distinct357
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-15T07:53:09.123266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length17.257186
Min length3

Characters and Unicode

Total characters11407
Distinct characters279
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

Unique236 ?
Unique (%)35.7%

Sample

1st row일반용 도료 및 관련제품 제조업
2nd row문구용 종이제품 제조업 외 2 종
3rd row주방용 및 음식점용 목재가구 제조업 외 1 종
4th row방송장비 제조업 외 3 종
5th row생물학적 제제 제조업 외 3 종
ValueCountFrequency (%)
제조업 573
 
15.1%
외 385
 
10.2%
종 321
 
8.5%
및 306
 
8.1%
기타 179
 
4.7%
1 152
 
4.0%
그 64
 
1.7%
금속 57
 
1.5%
2 55
 
1.5%
관련제품 39
 
1.0%
Other values (382) 1652
43.7%
2024-03-15T07:53:10.846359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3124
27.4%
제 817
 
7.2%
업 673
 
5.9%
조 656
 
5.8%
외 398
 
3.5%
기 365
 
3.2%
종 324
 
2.8%
및 306
 
2.7%
품 225
 
2.0%
타 187
 
1.6%
Other values (269) 4332
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7844
68.8%
Space Separator 3124
 
27.4%
Decimal Number 337
 
3.0%
Other Punctuation 80
 
0.7%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 817
 
10.4%
업 673
 
8.6%
조 656
 
8.4%
외 398
 
5.1%
기 365
 
4.7%
종 324
 
4.1%
및 306
 
3.9%
품 225
 
2.9%
타 187
 
2.4%
용 166
 
2.1%
Other values (254) 3727
47.5%
Decimal Number
ValueCountFrequency (%)
1 169
50.1%
2 57
 
16.9%
3 38
 
11.3%
4 29
 
8.6%
5 18
 
5.3%
6 10
 
3.0%
7 6
 
1.8%
9 5
 
1.5%
0 3
 
0.9%
8 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 79
98.8%
. 1
 
1.2%
Space Separator
ValueCountFrequency (%)
3124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7844
68.8%
Common 3563
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 817
 
10.4%
업 673
 
8.6%
조 656
 
8.4%
외 398
 
5.1%
기 365
 
4.7%
종 324
 
4.1%
및 306
 
3.9%
품 225
 
2.9%
타 187
 
2.4%
용 166
 
2.1%
Other values (254) 3727
47.5%
Common
ValueCountFrequency (%)
3124
87.7%
1 169
 
4.7%
, 79
 
2.2%
2 57
 
1.6%
3 38
 
1.1%
4 29
 
0.8%
5 18
 
0.5%
( 11
 
0.3%
) 11
 
0.3%
6 10
 
0.3%
Other values (5) 17
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7839
68.7%
ASCII 3563
31.2%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3124
87.7%
1 169
 
4.7%
, 79
 
2.2%
2 57
 
1.6%
3 38
 
1.1%
4 29
 
0.8%
5 18
 
0.5%
( 11
 
0.3%
) 11
 
0.3%
6 10
 
0.3%
Other values (5) 17
 
0.5%
Hangul
ValueCountFrequency (%)
제 817
 
10.4%
업 673
 
8.6%
조 656
 
8.4%
외 398
 
5.1%
기 365
 
4.7%
종 324
 
4.1%
및 306
 
3.9%
품 225
 
2.9%
타 187
 
2.4%
용 166
 
2.1%
Other values (253) 3722
47.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%

생산품
Text

Distinct581
Distinct (%)88.2%
Missing2
Missing (%)0.3%
Memory size5.3 KiB
2024-03-15T07:53:12.147190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length9.2989378
Min length1

Characters and Unicode

Total characters6128
Distinct characters507
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique539 ?
Unique (%)81.8%

Sample

1st row건축 및 산업용 수성도료
2nd row신문용지, 복사용지, 화장지, 보건용 마스크
3rd row주방가구, 사무용가구
4th row배전반, 전기자동제어반
5th row유산균.미생물.
ValueCountFrequency (%)
및 35
 
2.9%
등 26
 
2.1%
화장품 18
 
1.5%
인쇄물 12
 
1.0%
외 12
 
1.0%
레미콘 9
 
0.7%
창호 9
 
0.7%
닭갈비 7
 
0.6%
cctv 7
 
0.6%
간판 7
 
0.6%
Other values (855) 1072
88.3%
2024-03-15T07:53:13.906054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
560
 
9.1%
, 378
 
6.2%
기 182
 
3.0%
장 133
 
2.2%
품 102
 
1.7%
제 95
 
1.6%
물 88
 
1.4%
가 83
 
1.4%
전 81
 
1.3%
구 75
 
1.2%
Other values (497) 4351
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4843
79.0%
Space Separator 560
 
9.1%
Other Punctuation 396
 
6.5%
Uppercase Letter 201
 
3.3%
Close Punctuation 38
 
0.6%
Open Punctuation 38
 
0.6%
Lowercase Letter 34
 
0.6%
Dash Punctuation 9
 
0.1%
Decimal Number 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 182
 
3.8%
장 133
 
2.7%
품 102
 
2.1%
제 95
 
2.0%
물 88
 
1.8%
가 83
 
1.7%
전 81
 
1.7%
구 75
 
1.5%
용 73
 
1.5%
조 72
 
1.5%
Other values (446) 3859
79.7%
Uppercase Letter
ValueCountFrequency (%)
C 28
13.9%
E 25
12.4%
L 22
10.9%
D 21
10.4%
S 13
 
6.5%
T 13
 
6.5%
V 13
 
6.5%
P 13
 
6.5%
M 9
 
4.5%
A 8
 
4.0%
Other values (13) 36
17.9%
Lowercase Letter
ValueCountFrequency (%)
p 5
14.7%
t 4
11.8%
m 4
11.8%
s 3
8.8%
e 3
8.8%
r 3
8.8%
a 2
 
5.9%
c 2
 
5.9%
i 2
 
5.9%
o 2
 
5.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
0 2
22.2%
9 2
22.2%
4 2
22.2%
5 1
11.1%
3 1
11.1%
1 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 378
95.5%
. 10
 
2.5%
/ 7
 
1.8%
' 1
 
0.3%
Space Separator
ValueCountFrequency (%)
560
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4843
79.0%
Common 1050
 
17.1%
Latin 235
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 182
 
3.8%
장 133
 
2.7%
품 102
 
2.1%
제 95
 
2.0%
물 88
 
1.8%
가 83
 
1.7%
전 81
 
1.7%
구 75
 
1.5%
용 73
 
1.5%
조 72
 
1.5%
Other values (446) 3859
79.7%
Latin
ValueCountFrequency (%)
C 28
 
11.9%
E 25
 
10.6%
L 22
 
9.4%
D 21
 
8.9%
S 13
 
5.5%
T 13
 
5.5%
V 13
 
5.5%
P 13
 
5.5%
M 9
 
3.8%
A 8
 
3.4%
Other values (27) 70
29.8%
Common
ValueCountFrequency (%)
560
53.3%
, 378
36.0%
) 38
 
3.6%
( 38
 
3.6%
. 10
 
1.0%
- 9
 
0.9%
/ 7
 
0.7%
0 2
 
0.2%
9 2
 
0.2%
4 2
 
0.2%
Other values (4) 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4842
79.0%
ASCII 1285
 
21.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
560
43.6%
, 378
29.4%
) 38
 
3.0%
( 38
 
3.0%
C 28
 
2.2%
E 25
 
1.9%
L 22
 
1.7%
D 21
 
1.6%
S 13
 
1.0%
T 13
 
1.0%
Other values (41) 149
 
11.6%
Hangul
ValueCountFrequency (%)
기 182
 
3.8%
장 133
 
2.7%
품 102
 
2.1%
제 95
 
2.0%
물 88
 
1.8%
가 83
 
1.7%
전 81
 
1.7%
구 75
 
1.5%
용 73
 
1.5%
조 72
 
1.5%
Other values (445) 3858
79.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

공장대표주소(도로명)
Text

Distinct587
Distinct (%)89.2%
Missing3
Missing (%)0.5%
Memory size5.3 KiB
2024-03-15T07:53:15.319387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length56
Mean length31.828267
Min length21

Characters and Unicode

Total characters20943
Distinct characters327
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

Unique540 ?
Unique (%)82.1%

Sample

1st row강원특별자치도 춘천시 후석로420번길 7, 1동 4층 430호(후평동) 1동 4층 430호
2nd row강원특별자치도 춘천시 신북읍 아침못길 145 (신북읍)
3rd row강원특별자치도 춘천시 신동면 모오리길 32-13
4th row강원특별자치도 춘천시 퇴계공단1길 58 (퇴계동)
5th row강원특별자치도 춘천시 소양강로 32, 춘천바이오타운 1~3동 (후평동)
ValueCountFrequency (%)
강원특별자치도 658
 
16.6%
춘천시 658
 
16.6%
퇴계동 134
 
3.4%
1동 109
 
2.8%
후평동 88
 
2.2%
동내면 78
 
2.0%
퇴계공단1길 68
 
1.7%
후석로420번길 59
 
1.5%
7 57
 
1.4%
남산면 51
 
1.3%
Other values (850) 2000
50.5%
2024-03-15T07:53:17.336100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3305
 
15.8%
동 758
 
3.6%
1 734
 
3.5%
강 733
 
3.5%
원 727
 
3.5%
자 714
 
3.4%
천 711
 
3.4%
춘 705
 
3.4%
도 668
 
3.2%
시 668
 
3.2%
Other values (317) 11220
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13089
62.5%
Space Separator 3305
 
15.8%
Decimal Number 3088
 
14.7%
Close Punctuation 466
 
2.2%
Open Punctuation 466
 
2.2%
Other Punctuation 331
 
1.6%
Dash Punctuation 166
 
0.8%
Uppercase Letter 23
 
0.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 758
 
5.8%
강 733
 
5.6%
원 727
 
5.6%
자 714
 
5.5%
천 711
 
5.4%
춘 705
 
5.4%
도 668
 
5.1%
시 668
 
5.1%
치 664
 
5.1%
별 660
 
5.0%
Other values (283) 6081
46.5%
Decimal Number
ValueCountFrequency (%)
1 734
23.8%
2 432
14.0%
4 366
11.9%
3 281
 
9.1%
0 272
 
8.8%
5 263
 
8.5%
7 235
 
7.6%
6 212
 
6.9%
8 176
 
5.7%
9 117
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
21.7%
A 4
17.4%
E 4
17.4%
O 2
 
8.7%
I 2
 
8.7%
D 2
 
8.7%
X 1
 
4.3%
S 1
 
4.3%
C 1
 
4.3%
F 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 326
98.5%
/ 2
 
0.6%
& 1
 
0.3%
. 1
 
0.3%
· 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 465
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 465
99.8%
[ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
3305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13089
62.5%
Common 7829
37.4%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 758
 
5.8%
강 733
 
5.6%
원 727
 
5.6%
자 714
 
5.5%
천 711
 
5.4%
춘 705
 
5.4%
도 668
 
5.1%
시 668
 
5.1%
치 664
 
5.1%
별 660
 
5.0%
Other values (283) 6081
46.5%
Common
ValueCountFrequency (%)
3305
42.2%
1 734
 
9.4%
) 465
 
5.9%
( 465
 
5.9%
2 432
 
5.5%
4 366
 
4.7%
, 326
 
4.2%
3 281
 
3.6%
0 272
 
3.5%
5 263
 
3.4%
Other values (12) 920
 
11.8%
Latin
ValueCountFrequency (%)
B 5
20.0%
A 4
16.0%
E 4
16.0%
O 2
 
8.0%
I 2
 
8.0%
D 2
 
8.0%
X 1
 
4.0%
S 1
 
4.0%
C 1
 
4.0%
F 1
 
4.0%
Other values (2) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13089
62.5%
ASCII 7853
37.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3305
42.1%
1 734
 
9.3%
) 465
 
5.9%
( 465
 
5.9%
2 432
 
5.5%
4 366
 
4.7%
, 326
 
4.2%
3 281
 
3.6%
0 272
 
3.5%
5 263
 
3.3%
Other values (23) 944
 
12.0%
Hangul
ValueCountFrequency (%)
동 758
 
5.8%
강 733
 
5.6%
원 727
 
5.6%
자 714
 
5.5%
천 711
 
5.4%
춘 705
 
5.4%
도 668
 
5.1%
시 668
 
5.1%
치 664
 
5.1%
별 660
 
5.0%
Other values (283) 6081
46.5%
None
ValueCountFrequency (%)
· 1
100.0%

공장대표주소(지번)
Text

Distinct600
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-15T07:53:18.620369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length55
Mean length28.425113
Min length19

Characters and Unicode

Total characters18789
Distinct characters232
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

Unique557 ?
Unique (%)84.3%

Sample

1st row강원특별자치도 춘천시 후평동 558-1 1동 4층 430호 1동 4층 430호
2nd row강원특별자치도 춘천시 신북읍 산천리 1번지
3rd row강원특별자치도 춘천시 신동면 팔미리 121-1번지
4th row강원특별자치도 춘천시 퇴계동 861번지
5th row강원특별자치도 춘천시 후평동 198-53 춘천바이오타운 1~3동
ValueCountFrequency (%)
강원특별자치도 661
18.4%
춘천시 661
18.4%
퇴계동 157
 
4.4%
후평동 143
 
4.0%
1동 109
 
3.0%
동내면 77
 
2.1%
558-1 55
 
1.5%
남산면 51
 
1.4%
동면 50
 
1.4%
거두리 42
 
1.2%
Other values (762) 1590
44.2%
2024-03-15T07:53:20.743433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2996
 
15.9%
1 778
 
4.1%
동 726
 
3.9%
천 711
 
3.8%
자 710
 
3.8%
원 696
 
3.7%
강 685
 
3.6%
춘 678
 
3.6%
시 664
 
3.5%
도 662
 
3.5%
Other values (222) 9483
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11491
61.2%
Decimal Number 3637
 
19.4%
Space Separator 2996
 
15.9%
Dash Punctuation 546
 
2.9%
Open Punctuation 33
 
0.2%
Close Punctuation 33
 
0.2%
Other Punctuation 29
 
0.2%
Uppercase Letter 15
 
0.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 726
 
6.3%
천 711
 
6.2%
자 710
 
6.2%
원 696
 
6.1%
강 685
 
6.0%
춘 678
 
5.9%
시 664
 
5.8%
도 662
 
5.8%
치 661
 
5.8%
별 661
 
5.8%
Other values (193) 4637
40.4%
Decimal Number
ValueCountFrequency (%)
1 778
21.4%
5 445
12.2%
2 439
12.1%
3 377
10.4%
8 357
9.8%
4 320
8.8%
6 283
 
7.8%
0 278
 
7.6%
7 187
 
5.1%
9 173
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
A 4
26.7%
E 2
 
13.3%
I 2
 
13.3%
D 1
 
6.7%
O 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 25
86.2%
/ 2
 
6.9%
. 1
 
3.4%
· 1
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 32
97.0%
[ 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 32
97.0%
] 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
2996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 546
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11491
61.2%
Common 7281
38.8%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 726
 
6.3%
천 711
 
6.2%
자 710
 
6.2%
원 696
 
6.1%
강 685
 
6.0%
춘 678
 
5.9%
시 664
 
5.8%
도 662
 
5.8%
치 661
 
5.8%
별 661
 
5.8%
Other values (193) 4637
40.4%
Common
ValueCountFrequency (%)
2996
41.1%
1 778
 
10.7%
- 546
 
7.5%
5 445
 
6.1%
2 439
 
6.0%
3 377
 
5.2%
8 357
 
4.9%
4 320
 
4.4%
6 283
 
3.9%
0 278
 
3.8%
Other values (11) 462
 
6.3%
Latin
ValueCountFrequency (%)
B 5
29.4%
A 4
23.5%
E 2
 
11.8%
I 2
 
11.8%
o 1
 
5.9%
D 1
 
5.9%
i 1
 
5.9%
O 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11491
61.2%
ASCII 7297
38.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2996
41.1%
1 778
 
10.7%
- 546
 
7.5%
5 445
 
6.1%
2 439
 
6.0%
3 377
 
5.2%
8 357
 
4.9%
4 320
 
4.4%
6 283
 
3.9%
0 278
 
3.8%
Other values (18) 478
 
6.6%
Hangul
ValueCountFrequency (%)
동 726
 
6.3%
천 711
 
6.2%
자 710
 
6.2%
원 696
 
6.1%
강 685
 
6.0%
춘 678
 
5.9%
시 664
 
5.8%
도 662
 
5.8%
치 661
 
5.8%
별 661
 
5.8%
Other values (193) 4637
40.4%
None
ValueCountFrequency (%)
· 1
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2024-02-14 00:00:00
Maximum2024-02-14 00:00:00
2024-03-15T07:53:21.155864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:53:21.541845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T07:52:56.592185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T07:52:56.964272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T07:52:57.479347image/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.
2024-03-15T07:52:57.870462image/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

회사명대표자명전화번호팩스번호종업원수업종명생산품공장대표주소(도로명)공장대표주소(지번)기준일자
0온코트피엔에스김현아<NA><NA>1일반용 도료 및 관련제품 제조업건축 및 산업용 수성도료강원특별자치도 춘천시 후석로420번길 7, 1동 4층 430호(후평동) 1동 4층 430호강원특별자치도 춘천시 후평동 558-1 1동 4층 430호 1동 4층 430호2024-02-14
1(사)한국지체장애인협회춘천시장애인근로사업장박유찬033-242-3526033-242-352049문구용 종이제품 제조업 외 2 종신문용지, 복사용지, 화장지, 보건용 마스크강원특별자치도 춘천시 신북읍 아침못길 145 (신북읍)강원특별자치도 춘천시 신북읍 산천리 1번지2024-02-14
2(신)챔프가구산업이용광033-262-1440033-262-44495주방용 및 음식점용 목재가구 제조업 외 1 종주방가구, 사무용가구강원특별자치도 춘천시 신동면 모오리길 32-13강원특별자치도 춘천시 신동면 팔미리 121-1번지2024-02-14
3(유)제일이엔지장현춘033-263-6927033-263-69299방송장비 제조업 외 3 종배전반, 전기자동제어반강원특별자치도 춘천시 퇴계공단1길 58 (퇴계동)강원특별자치도 춘천시 퇴계동 861번지2024-02-14
4(재)춘천바이오산업진흥원(1~3동)진흥원장033-258-6944<NA>67생물학적 제제 제조업 외 3 종유산균.미생물.강원특별자치도 춘천시 소양강로 32, 춘천바이오타운 1~3동 (후평동)강원특별자치도 춘천시 후평동 198-53 춘천바이오타운 1~3동2024-02-14
5(재)춘천바이오산업진흥원(4~5동)진흥원장033-258-6941<NA>67완제 의약품 제조업 외 1 종바이오칩강원특별자치도 춘천시 소양강로 56, 4~5동 (후평동) 4~5동강원특별자치도 춘천시 후평동 198-60 4~5동 4~5동2024-02-14
6(재)춘천바이오산업진흥원(BIO-6)진흥원장033-258-6932033-258-617014의료용품 및 기타 의약 관련제품 제조업체외진단 의료기기강원특별자치도 춘천시 후석로462번길 11 (후평동)강원특별자치도 춘천시 후평동 623-392024-02-14
7(주)ES산전조형석033-245-6681041-415-10015그 외 기타 의료용 기기 제조업X-선 파노라마강원특별자치도 춘천시 삭주로145번길 69-14, (주)ES산전 (후평동, 벤처비지니스 살롱)강원특별자치도 춘천시 후평동 198-25번지2024-02-14
8(주)강원네트웍스권용석033-256-2135033-242-540846방송장비 제조업 외 5 종콘크리트맨홀강원특별자치도 춘천시 퇴계공단1길 51 (퇴계동)강원특별자치도 춘천시 퇴계동 856-3번지2024-02-14
9(주)강원도민일보김중석033-241-7212033-243-7212163신문 발행업신문발행업강원특별자치도 춘천시 후석로462번길 22 (후평동, 강원도민일보사)강원특별자치도 춘천시 후평동 257-27번지2024-02-14
회사명대표자명전화번호팩스번호종업원수업종명생산품공장대표주소(도로명)공장대표주소(지번)기준일자
651호반산업(합)신정아033-263-2220033-254-22254그 외 기타 분류 안된 비금속 광물제품 제조업미끄럼방지포장제강원특별자치도 춘천시 신동면 순환대로 309-46강원특별자치도 춘천시 신동면 정족리 274-22024-02-14
652호반출판사이호영033-262-2385033-262-23871제책업제책,제본(리플릿)강원특별자치도 춘천시 퇴계공단1길 41 (퇴계동)강원특별자치도 춘천시 퇴계동 856번지2024-02-14
653호산산업최문선033-251-2080033-243-20801주방용 및 음식점용 목재가구 제조업 외 1 종가구,사무용가구강원특별자치도 춘천시 동내면 고은길 117강원특별자치도 춘천시 동내면 고은리 311-9번지2024-02-14
654호성건설 주식회사김진남033-333-8997033-333-89985구조용 금속 판제품 및 공작물 제조업 외 1 종알루미늄제교량난간강원특별자치도 춘천시 남산면 보매기길 74, 다동강원특별자치도 춘천시 남산면 창촌리 300-8번지 다동2024-02-14
655화인코(주)임건빈033-241-2307033-241-23098화장품 제조업 외 2 종화장품강원특별자치도 춘천시 신북읍 신북로 61-20, 강원테크노파크 생물산업단지 내201호강원특별자치도 춘천시 신북읍 율문리 941 번지 강원테크노파크 생물산업단지 내201호2024-02-14
656황소국수김석종033-257-1245033-253-66444면류, 마카로니 및 유사식품 제조업황소표국수강원특별자치도 춘천시 동면 만천리 538-5번지강원특별자치도 춘천시 동면 만천리 538-5번지2024-02-14
657효자식품염현철033-254-2929<NA>3두부 및 유사식품 제조업두부강원특별자치도 춘천시 효명2길 5 (효자동)강원특별자치도 춘천시 효자동 432-7번지2024-02-14
658휴젤(주)문경엽033-255-3882033-255-388452생물학적 제제 제조업보톨리눔 톡신 A형강원특별자치도 춘천시 신북읍 신북로 61-20, 강원테크노파크강원특별자치도 춘천시 신북읍 율문리 941번지 춘천벤처공장 강원테크노파크2024-02-14
659휴젤(주)손지훈033-255-3882033-255-388462생물학적 제제 제조업보톨렉스주강원특별자치도 춘천시 동내면 거두단지1길 23강원특별자치도 춘천시 동내면 거두리 1180번지2024-02-14
660휴콘스테크놀러지(주)이인찬033-243-9671<NA>14기기용 자동측정 및 제어장치 제조업 외 1 종LPG용기용밸브,가스차단장치강원특별자치도 춘천시 후석로420번길 26 (후평동, 휴콘스테크놀로지)강원특별자치도 춘천시 후평동 327-12번지2024-02-14