Overview

Dataset statistics

Number of variables28
Number of observations32
Missing cells127
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory245.1 B

Variable types

Categorical12
Numeric7
Text6
Unsupported2
Boolean1

Dataset

Description시군구코드,업종코드,년도,업소일련번호,업종명,신고일자,업소명,영업장면적(㎡),소재지전화번호,영업자시작일,법인명,소재지시작일,행정동명,폐업일자,업태명,위생교육수료일자,객실수,한실수,양실수,의자수,욕실수,발한실,세탁기수,허가(신고)번호,내외국인구분,국적,소재지도로명,소재지지번
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-10263/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
업종코드 has constant value ""Constant
업종명 has constant value ""Constant
법인명 has constant value ""Constant
업태명 has constant value ""Constant
객실수 has constant value ""Constant
발한실 has constant value ""Constant
내외국인구분 has constant value ""Constant
세탁기수 is highly imbalanced (66.3%)Imbalance
법인명 has 31 (96.9%) missing valuesMissing
폐업일자 has 3 (9.4%) missing valuesMissing
위생교육수료일자 has 32 (100.0%) missing valuesMissing
발한실 has 1 (3.1%) missing valuesMissing
국적 has 32 (100.0%) missing valuesMissing
소재지도로명 has 28 (87.5%) missing valuesMissing
허가(신고)번호 has unique valuesUnique
위생교육수료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
국적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장면적(㎡) has 5 (15.6%) zerosZeros

Reproduction

Analysis started2024-05-04 00:33:22.952671
Analysis finished2024-05-04 00:33:23.749950
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
3060000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 32
100.0%

Length

2024-05-04T00:33:24.019735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:24.340127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 32
100.0%

업종코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
209
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row209
2nd row209
3rd row209
4th row209
5th row209

Common Values

ValueCountFrequency (%)
209 32
100.0%

Length

2024-05-04T00:33:24.964887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:25.257235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
209 32
100.0%

년도
Real number (ℝ)

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1994.5625
Minimum1985
Maximum2008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-04T00:33:25.616092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1986.65
Q11990.75
median1993
Q31998
95-th percentile2003
Maximum2008
Range23
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation5.7973158
Coefficient of variation (CV)0.0029065601
Kurtosis-0.51558034
Mean1994.5625
Median Absolute Deviation (MAD)4.5
Skewness0.36028506
Sum63826
Variance33.608871
MonotonicityIncreasing
2024-05-04T00:33:26.045599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1992 5
15.6%
1988 4
12.5%
1993 3
9.4%
1998 3
9.4%
2003 3
9.4%
1985 2
 
6.2%
1995 2
 
6.2%
1997 2
 
6.2%
2001 2
 
6.2%
1989 1
 
3.1%
Other values (5) 5
15.6%
ValueCountFrequency (%)
1985 2
 
6.2%
1988 4
12.5%
1989 1
 
3.1%
1990 1
 
3.1%
1991 1
 
3.1%
1992 5
15.6%
1993 3
9.4%
1995 2
 
6.2%
1996 1
 
3.1%
1997 2
 
6.2%
ValueCountFrequency (%)
2008 1
 
3.1%
2003 3
9.4%
2002 1
 
3.1%
2001 2
 
6.2%
1998 3
9.4%
1997 2
 
6.2%
1996 1
 
3.1%
1995 2
 
6.2%
1993 3
9.4%
1992 5
15.6%

업소일련번호
Real number (ℝ)

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2078.5312
Minimum1
Maximum2477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-04T00:33:26.637290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12452.75
median2460.5
Q32468.25
95-th percentile2474.9
Maximum2477
Range2476
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation908.09933
Coefficient of variation (CV)0.43689472
Kurtosis2.0771473
Mean2078.5312
Median Absolute Deviation (MAD)8
Skewness-1.987603
Sum66513
Variance824644.39
MonotonicityNot monotonic
2024-05-04T00:33:27.039229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 3
 
9.4%
2452 2
 
6.2%
2451 1
 
3.1%
3 1
 
3.1%
2 1
 
3.1%
2477 1
 
3.1%
2476 1
 
3.1%
2467 1
 
3.1%
2466 1
 
3.1%
2464 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
1 3
9.4%
2 1
 
3.1%
3 1
 
3.1%
2451 1
 
3.1%
2452 2
6.2%
2453 1
 
3.1%
2454 1
 
3.1%
2455 1
 
3.1%
2456 1
 
3.1%
2457 1
 
3.1%
ValueCountFrequency (%)
2477 1
3.1%
2476 1
3.1%
2474 1
3.1%
2473 1
3.1%
2472 1
3.1%
2471 1
3.1%
2470 1
3.1%
2469 1
3.1%
2468 1
3.1%
2467 1
3.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
기타위생용품제조업
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타위생용품제조업
2nd row기타위생용품제조업
3rd row기타위생용품제조업
4th row기타위생용품제조업
5th row기타위생용품제조업

Common Values

ValueCountFrequency (%)
기타위생용품제조업 32
100.0%

Length

2024-05-04T00:33:27.425997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:27.750113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타위생용품제조업 32
100.0%

신고일자
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19946264
Minimum19850928
Maximum20080415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-04T00:33:28.133346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850928
5-th percentile19867106
Q119908398
median19930608
Q319980493
95-th percentile20030618
Maximum20080415
Range229487
Interquartile range (IQR)72094.75

Descriptive statistics

Standard deviation57880.548
Coefficient of variation (CV)0.002901824
Kurtosis-0.52170714
Mean19946264
Median Absolute Deviation (MAD)45007
Skewness0.36277049
Sum6.3828046 × 108
Variance3.3501579 × 109
MonotonicityNot monotonic
2024-05-04T00:33:28.635101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19930608 2
 
6.2%
19851205 1
 
3.1%
19951212 1
 
3.1%
20080415 1
 
3.1%
20030627 1
 
3.1%
20030611 1
 
3.1%
20030211 1
 
3.1%
20020121 1
 
3.1%
20011130 1
 
3.1%
20010808 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
19850928 1
3.1%
19851205 1
3.1%
19880115 1
3.1%
19880822 1
3.1%
19880928 1
3.1%
19880929 1
3.1%
19891026 1
3.1%
19900509 1
3.1%
19911028 1
3.1%
19920122 1
3.1%
ValueCountFrequency (%)
20080415 1
3.1%
20030627 1
3.1%
20030611 1
3.1%
20030211 1
3.1%
20020121 1
3.1%
20011130 1
3.1%
20010808 1
3.1%
19981030 1
3.1%
19980314 1
3.1%
19980213 1
3.1%

업소명
Text

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-04T00:33:29.236798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.65625
Min length3

Characters and Unicode

Total characters149
Distinct characters66
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

Unique24 ?
Unique (%)75.0%

Sample

1st row우진위생지
2nd row세경위생지
3rd row세영산업
4th row한양기업
5th row삼화활저
ValueCountFrequency (%)
만석산업 2
 
6.1%
조광산업 2
 
6.1%
장안물산 2
 
6.1%
경호산업 2
 
6.1%
현대네프킨 1
 
3.0%
우진위생지 1
 
3.0%
워시(주)강동지사 1
 
3.0%
화이트 1
 
3.0%
종이마을 1
 
3.0%
원진산업 1
 
3.0%
Other values (19) 19
57.6%
2024-05-04T00:33:30.254857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 17
 
11.4%
업 17
 
11.4%
지 7
 
4.7%
사 4
 
2.7%
경 4
 
2.7%
호 4
 
2.7%
기 4
 
2.7%
진 4
 
2.7%
위 4
 
2.7%
대 3
 
2.0%
Other values (56) 81
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
98.0%
Space Separator 1
 
0.7%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 17
 
11.6%
업 17
 
11.6%
지 7
 
4.8%
사 4
 
2.7%
경 4
 
2.7%
호 4
 
2.7%
기 4
 
2.7%
진 4
 
2.7%
위 4
 
2.7%
대 3
 
2.1%
Other values (53) 78
53.4%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
98.0%
Common 3
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 17
 
11.6%
업 17
 
11.6%
지 7
 
4.8%
사 4
 
2.7%
경 4
 
2.7%
호 4
 
2.7%
기 4
 
2.7%
진 4
 
2.7%
위 4
 
2.7%
대 3
 
2.1%
Other values (53) 78
53.4%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
98.0%
ASCII 3
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 17
 
11.6%
업 17
 
11.6%
지 7
 
4.8%
사 4
 
2.7%
경 4
 
2.7%
호 4
 
2.7%
기 4
 
2.7%
진 4
 
2.7%
위 4
 
2.7%
대 3
 
2.1%
Other values (53) 78
53.4%
ASCII
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

영업장면적(㎡)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.44563
Minimum0
Maximum492.8
Zeros5
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-04T00:33:30.795506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162.7925
median79.735
Q3123.5025
95-th percentile385.5555
Maximum492.8
Range492.8
Interquartile range (IQR)60.71

Descriptive statistics

Standard deviation120.48246
Coefficient of variation (CV)1.0171964
Kurtosis3.5546231
Mean118.44563
Median Absolute Deviation (MAD)26.9
Skewness1.8925795
Sum3790.26
Variance14516.024
MonotonicityNot monotonic
2024-05-04T00:33:31.265763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 5
 
15.6%
77.04 2
 
6.2%
79.1 1
 
3.1%
151.47 1
 
3.1%
56.23 1
 
3.1%
93.08 1
 
3.1%
462.0 1
 
3.1%
105.0 1
 
3.1%
89.91 1
 
3.1%
66.0 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0.0 5
15.6%
50.57 1
 
3.1%
51.2 1
 
3.1%
56.23 1
 
3.1%
64.98 1
 
3.1%
66.0 1
 
3.1%
67.71 1
 
3.1%
74.3 1
 
3.1%
75.39 1
 
3.1%
77.04 2
 
6.2%
ValueCountFrequency (%)
492.8 1
3.1%
462.0 1
3.1%
323.01 1
3.1%
255.71 1
3.1%
215.43 1
3.1%
214.2 1
3.1%
190.64 1
3.1%
151.47 1
3.1%
114.18 1
3.1%
105.0 1
3.1%

소재지전화번호
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-04T00:33:31.687682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.5625
Min length2

Characters and Unicode

Total characters306
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

Unique26 ?
Unique (%)81.2%

Sample

1st row02434 2524
2nd row02 9260104
3rd row0204344969
4th row0204956776
5th row0204349213
ValueCountFrequency (%)
02 17
34.7%
0204965177 2
 
4.1%
4383150 2
 
4.1%
2524 1
 
2.0%
4377030 1
 
2.0%
0222177913 1
 
2.0%
4960557 1
 
2.0%
8350 1
 
2.0%
948 1
 
2.0%
4928388 1
 
2.0%
Other values (21) 21
42.9%
2024-05-04T00:33:32.577836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58
19.0%
2 51
16.7%
4 41
13.4%
3 30
9.8%
9 25
8.2%
7 21
 
6.9%
5 19
 
6.2%
18
 
5.9%
8 15
 
4.9%
1 14
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
94.1%
Space Separator 18
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
20.1%
2 51
17.7%
4 41
14.2%
3 30
10.4%
9 25
8.7%
7 21
 
7.3%
5 19
 
6.6%
8 15
 
5.2%
1 14
 
4.9%
6 14
 
4.9%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 58
19.0%
2 51
16.7%
4 41
13.4%
3 30
9.8%
9 25
8.2%
7 21
 
6.9%
5 19
 
6.2%
18
 
5.9%
8 15
 
4.9%
1 14
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58
19.0%
2 51
16.7%
4 41
13.4%
3 30
9.8%
9 25
8.2%
7 21
 
6.9%
5 19
 
6.2%
18
 
5.9%
8 15
 
4.9%
1 14
 
4.6%

영업자시작일
Real number (ℝ)

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19978897
Minimum19930223
Maximum20080415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-04T00:33:33.156047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930223
5-th percentile19930223
Q119948343
median19970316
Q320010888
95-th percentile20030618
Maximum20080415
Range150192
Interquartile range (IQR)62545.75

Descriptive statistics

Standard deviation38737.866
Coefficient of variation (CV)0.0019389392
Kurtosis-0.14787698
Mean19978897
Median Absolute Deviation (MAD)34652.5
Skewness0.58836547
Sum6.393247 × 108
Variance1.5006223 × 109
MonotonicityNot monotonic
2024-05-04T00:33:33.669457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19930223 5
 
15.6%
19970310 4
 
12.5%
19940317 2
 
6.2%
19970315 1
 
3.1%
19980213 1
 
3.1%
20080415 1
 
3.1%
20030627 1
 
3.1%
20030611 1
 
3.1%
20030211 1
 
3.1%
20020121 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
19930223 5
15.6%
19931011 1
 
3.1%
19940317 2
 
6.2%
19951018 1
 
3.1%
19960124 1
 
3.1%
19960729 1
 
3.1%
19970310 4
12.5%
19970315 1
 
3.1%
19970318 1
 
3.1%
19970728 1
 
3.1%
ValueCountFrequency (%)
20080415 1
3.1%
20030627 1
3.1%
20030611 1
3.1%
20030226 1
3.1%
20030211 1
3.1%
20020719 1
3.1%
20020121 1
3.1%
20011130 1
3.1%
20010808 1
3.1%
20010421 1
3.1%

법인명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-05-04T00:33:33.986062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row종이마을
ValueCountFrequency (%)
종이마을 1
100.0%
2024-05-04T00:33:34.910915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
종 1
25.0%
이 1
25.0%
마 1
25.0%
을 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 1
25.0%
이 1
25.0%
마 1
25.0%
을 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 1
25.0%
이 1
25.0%
마 1
25.0%
을 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
종 1
25.0%
이 1
25.0%
마 1
25.0%
을 1
25.0%

소재지시작일
Real number (ℝ)

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19983587
Minimum19930223
Maximum20110629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-04T00:33:35.492854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930223
5-th percentile19930223
Q119948343
median19970316
Q320013378
95-th percentile20064296
Maximum20110629
Range180406
Interquartile range (IQR)65035

Descriptive statistics

Standard deviation46040.57
Coefficient of variation (CV)0.0023039191
Kurtosis0.57311008
Mean19983587
Median Absolute Deviation (MAD)39699.5
Skewness0.91363664
Sum6.394748 × 108
Variance2.119734 × 109
MonotonicityNot monotonic
2024-05-04T00:33:36.028922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19930223 5
 
15.6%
19970310 4
 
12.5%
19940317 2
 
6.2%
19970315 1
 
3.1%
19980213 1
 
3.1%
20080415 1
 
3.1%
20030627 1
 
3.1%
20030611 1
 
3.1%
20051108 1
 
3.1%
20020121 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
19930223 5
15.6%
19931011 1
 
3.1%
19940317 2
 
6.2%
19951018 1
 
3.1%
19960124 1
 
3.1%
19960729 1
 
3.1%
19970310 4
12.5%
19970315 1
 
3.1%
19970318 1
 
3.1%
19970728 1
 
3.1%
ValueCountFrequency (%)
20110629 1
3.1%
20080415 1
3.1%
20051108 1
3.1%
20030627 1
3.1%
20030611 1
3.1%
20030226 1
3.1%
20020315 1
3.1%
20020121 1
3.1%
20011130 1
3.1%
20010808 1
3.1%

행정동명
Categorical

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
면목제3.8동
8 
중화제2동
7 
망우본동
7 
면목본동
2 
신내1동
2 
Other values (5)
6 

Length

Max length7
Median length5
Mean length5.0625
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row면목본동
2nd row신내1동
3rd row중화제2동
4th row중화제1동
5th row중화제2동

Common Values

ValueCountFrequency (%)
면목제3.8동 8
25.0%
중화제2동 7
21.9%
망우본동 7
21.9%
면목본동 2
 
6.2%
신내1동 2
 
6.2%
묵제2동 2
 
6.2%
중화제1동 1
 
3.1%
묵제1동 1
 
3.1%
상봉제1동 1
 
3.1%
면목제4동 1
 
3.1%

Length

2024-05-04T00:33:37.073463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:37.711937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
면목제3.8동 8
25.0%
중화제2동 7
21.9%
망우본동 7
21.9%
면목본동 2
 
6.2%
신내1동 2
 
6.2%
묵제2동 2
 
6.2%
중화제1동 1
 
3.1%
묵제1동 1
 
3.1%
상봉제1동 1
 
3.1%
면목제4동 1
 
3.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)93.1%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean20003699
Minimum19920822
Maximum20160129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-04T00:33:38.373049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19920822
5-th percentile19930531
Q119950125
median19990615
Q320040227
95-th percentile20111031
Maximum20160129
Range239307
Interquartile range (IQR)90102

Descriptive statistics

Standard deviation67101.117
Coefficient of variation (CV)0.0033544355
Kurtosis-0.43988239
Mean20003699
Median Absolute Deviation (MAD)40508
Skewness0.73499833
Sum5.8010726 × 108
Variance4.50256 × 109
MonotonicityNot monotonic
2024-05-04T00:33:39.004325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
19931222 2
 
6.2%
20111031 2
 
6.2%
19950125 1
 
3.1%
19980209 1
 
3.1%
20100511 1
 
3.1%
20060206 1
 
3.1%
20110221 1
 
3.1%
20021211 1
 
3.1%
20020315 1
 
3.1%
20160129 1
 
3.1%
Other values (17) 17
53.1%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
19920822 1
3.1%
19930215 1
3.1%
19931004 1
3.1%
19931222 2
6.2%
19931230 1
3.1%
19950107 1
3.1%
19950125 1
3.1%
19951018 1
3.1%
19960123 1
3.1%
19960723 1
3.1%
ValueCountFrequency (%)
20160129 1
3.1%
20111031 2
6.2%
20110221 1
3.1%
20100511 1
3.1%
20070601 1
3.1%
20060206 1
3.1%
20040227 1
3.1%
20021211 1
3.1%
20020330 1
3.1%
20020315 1
3.1%

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
기타위생용품제조업
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타위생용품제조업
2nd row기타위생용품제조업
3rd row기타위생용품제조업
4th row기타위생용품제조업
5th row기타위생용품제조업

Common Values

ValueCountFrequency (%)
기타위생용품제조업 32
100.0%

Length

2024-05-04T00:33:39.592199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:39.888467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타위생용품제조업 32
100.0%

위생교육수료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

객실수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
100.0%

Length

2024-05-04T00:33:40.335573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:40.718894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

한실수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
26 
<NA>
6 

Length

Max length4
Median length1
Mean length1.5625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
81.2%
<NA> 6
 
18.8%

Length

2024-05-04T00:33:41.078789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:41.370374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
81.2%
na 6
 
18.8%

양실수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
26 
<NA>
6 

Length

Max length4
Median length1
Mean length1.5625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
81.2%
<NA> 6
 
18.8%

Length

2024-05-04T00:33:41.683536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:42.005469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
81.2%
na 6
 
18.8%

의자수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
26 
<NA>
6 

Length

Max length4
Median length1
Mean length1.5625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
81.2%
<NA> 6
 
18.8%

Length

2024-05-04T00:33:42.339613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:42.675030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
81.2%
na 6
 
18.8%

욕실수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
26 
<NA>
6 

Length

Max length4
Median length1
Mean length1.5625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
81.2%
<NA> 6
 
18.8%

Length

2024-05-04T00:33:43.164370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:43.719069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
81.2%
na 6
 
18.8%

발한실
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.2%
Missing1
Missing (%)3.1%
Memory size196.0 B
False
31 
(Missing)
 
1
ValueCountFrequency (%)
False 31
96.9%
(Missing) 1
 
3.1%
2024-05-04T00:33:43.961701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

세탁기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
0 2
 
6.2%

Length

2024-05-04T00:33:44.287088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:44.702902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

허가(신고)번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-04T00:33:45.111489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters704
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

Unique32 ?
Unique (%)100.0%

Sample

1st row3060000-209-1985-02451
2nd row3060000-209-1985-02452
3rd row3060000-209-1988-02452
4th row3060000-209-1988-02453
5th row3060000-209-1988-02456
ValueCountFrequency (%)
3060000-209-1985-02451 1
 
3.1%
3060000-209-1985-02452 1
 
3.1%
3060000-209-2003-00003 1
 
3.1%
3060000-209-2003-00002 1
 
3.1%
3060000-209-2003-00001 1
 
3.1%
3060000-209-2002-00001 1
 
3.1%
3060000-209-2001-02477 1
 
3.1%
3060000-209-2001-02476 1
 
3.1%
3060000-209-1998-02467 1
 
3.1%
3060000-209-1998-02466 1
 
3.1%
Other values (22) 22
68.8%
2024-05-04T00:33:46.001409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 256
36.4%
- 96
 
13.6%
9 78
 
11.1%
2 77
 
10.9%
6 46
 
6.5%
3 42
 
6.0%
1 34
 
4.8%
4 30
 
4.3%
8 17
 
2.4%
5 16
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
86.4%
Dash Punctuation 96
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 256
42.1%
9 78
 
12.8%
2 77
 
12.7%
6 46
 
7.6%
3 42
 
6.9%
1 34
 
5.6%
4 30
 
4.9%
8 17
 
2.8%
5 16
 
2.6%
7 12
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 704
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 256
36.4%
- 96
 
13.6%
9 78
 
11.1%
2 77
 
10.9%
6 46
 
6.5%
3 42
 
6.0%
1 34
 
4.8%
4 30
 
4.3%
8 17
 
2.4%
5 16
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 256
36.4%
- 96
 
13.6%
9 78
 
11.1%
2 77
 
10.9%
6 46
 
6.5%
3 42
 
6.0%
1 34
 
4.8%
4 30
 
4.3%
8 17
 
2.4%
5 16
 
2.3%

내외국인구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
내국인
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내국인
2nd row내국인
3rd row내국인
4th row내국인
5th row내국인

Common Values

ValueCountFrequency (%)
내국인 32
100.0%

Length

2024-05-04T00:33:46.420185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:33:46.789546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내국인 32
100.0%

국적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지도로명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing28
Missing (%)87.5%
Memory size388.0 B
2024-05-04T00:33:47.103154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length26.25
Min length26

Characters and Unicode

Total characters105
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 상봉로11길 55, (면목동)
2nd row서울특별시 중랑구 봉화산로53길 32, (신내동)
3rd row서울특별시 중랑구 면목로84길 53, (면목동)
4th row서울특별시 중랑구 숙선옹주로5길 28, (묵동)
ValueCountFrequency (%)
서울특별시 4
20.0%
중랑구 4
20.0%
면목동 2
10.0%
상봉로11길 1
 
5.0%
55 1
 
5.0%
봉화산로53길 1
 
5.0%
32 1
 
5.0%
신내동 1
 
5.0%
면목로84길 1
 
5.0%
53 1
 
5.0%
Other values (3) 3
15.0%
2024-05-04T00:33:47.869745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
15.2%
5 5
 
4.8%
서 4
 
3.8%
) 4
 
3.8%
( 4
 
3.8%
, 4
 
3.8%
길 4
 
3.8%
동 4
 
3.8%
로 4
 
3.8%
울 4
 
3.8%
Other values (24) 52
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
59.0%
Space Separator 16
 
15.2%
Decimal Number 15
 
14.3%
Close Punctuation 4
 
3.8%
Open Punctuation 4
 
3.8%
Other Punctuation 4
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 4
 
6.5%
길 4
 
6.5%
동 4
 
6.5%
로 4
 
6.5%
울 4
 
6.5%
구 4
 
6.5%
랑 4
 
6.5%
중 4
 
6.5%
시 4
 
6.5%
별 4
 
6.5%
Other values (14) 22
35.5%
Decimal Number
ValueCountFrequency (%)
5 5
33.3%
3 3
20.0%
1 2
 
13.3%
2 2
 
13.3%
8 2
 
13.3%
4 1
 
6.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
59.0%
Common 43
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 4
 
6.5%
길 4
 
6.5%
동 4
 
6.5%
로 4
 
6.5%
울 4
 
6.5%
구 4
 
6.5%
랑 4
 
6.5%
중 4
 
6.5%
시 4
 
6.5%
별 4
 
6.5%
Other values (14) 22
35.5%
Common
ValueCountFrequency (%)
16
37.2%
5 5
 
11.6%
) 4
 
9.3%
( 4
 
9.3%
, 4
 
9.3%
3 3
 
7.0%
1 2
 
4.7%
2 2
 
4.7%
8 2
 
4.7%
4 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
59.0%
ASCII 43
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
37.2%
5 5
 
11.6%
) 4
 
9.3%
( 4
 
9.3%
, 4
 
9.3%
3 3
 
7.0%
1 2
 
4.7%
2 2
 
4.7%
8 2
 
4.7%
4 1
 
2.3%
Hangul
ValueCountFrequency (%)
서 4
 
6.5%
길 4
 
6.5%
동 4
 
6.5%
로 4
 
6.5%
울 4
 
6.5%
구 4
 
6.5%
랑 4
 
6.5%
중 4
 
6.5%
시 4
 
6.5%
별 4
 
6.5%
Other values (14) 22
35.5%

소재지지번
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-04T00:33:48.356487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28.5
Mean length25.6875
Min length22

Characters and Unicode

Total characters822
Distinct characters35
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

Unique28 ?
Unique (%)87.5%

Sample

1st row서울특별시 중랑구 면목동 103번지 11호
2nd row서울특별시 중랑구 신내동 398번지 2호
3rd row서울특별시 중랑구 중화동 290번지 4호
4th row서울특별시 중랑구 중화동 285번지 12호
5th row서울특별시 중랑구 중화동 324번지 14호
ValueCountFrequency (%)
서울특별시 32
19.6%
중랑구 32
19.6%
면목동 11
 
6.7%
중화동 8
 
4.9%
망우동 7
 
4.3%
묵동 3
 
1.8%
3호 3
 
1.8%
산 3
 
1.8%
11호 3
 
1.8%
20호 3
 
1.8%
Other values (46) 58
35.6%
2024-05-04T00:33:49.302523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
27.5%
중 40
 
4.9%
서 32
 
3.9%
번 32
 
3.9%
특 32
 
3.9%
별 32
 
3.9%
시 32
 
3.9%
랑 32
 
3.9%
구 32
 
3.9%
울 32
 
3.9%
Other values (25) 300
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
54.5%
Space Separator 226
27.5%
Decimal Number 148
 
18.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 40
 
8.9%
서 32
 
7.1%
번 32
 
7.1%
특 32
 
7.1%
별 32
 
7.1%
시 32
 
7.1%
랑 32
 
7.1%
구 32
 
7.1%
울 32
 
7.1%
동 32
 
7.1%
Other values (14) 120
26.8%
Decimal Number
ValueCountFrequency (%)
1 28
18.9%
2 23
15.5%
3 21
14.2%
0 19
12.8%
6 11
 
7.4%
4 11
 
7.4%
8 10
 
6.8%
5 9
 
6.1%
9 8
 
5.4%
7 8
 
5.4%
Space Separator
ValueCountFrequency (%)
226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
54.5%
Common 374
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 40
 
8.9%
서 32
 
7.1%
번 32
 
7.1%
특 32
 
7.1%
별 32
 
7.1%
시 32
 
7.1%
랑 32
 
7.1%
구 32
 
7.1%
울 32
 
7.1%
동 32
 
7.1%
Other values (14) 120
26.8%
Common
ValueCountFrequency (%)
226
60.4%
1 28
 
7.5%
2 23
 
6.1%
3 21
 
5.6%
0 19
 
5.1%
6 11
 
2.9%
4 11
 
2.9%
8 10
 
2.7%
5 9
 
2.4%
9 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
54.5%
ASCII 374
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
60.4%
1 28
 
7.5%
2 23
 
6.1%
3 21
 
5.6%
0 19
 
5.1%
6 11
 
2.9%
4 11
 
2.9%
8 10
 
2.7%
5 9
 
2.4%
9 8
 
2.1%
Hangul
ValueCountFrequency (%)
중 40
 
8.9%
서 32
 
7.1%
번 32
 
7.1%
특 32
 
7.1%
별 32
 
7.1%
시 32
 
7.1%
랑 32
 
7.1%
구 32
 
7.1%
울 32
 
7.1%
동 32
 
7.1%
Other values (14) 120
26.8%

Sample

시군구코드업종코드년도업소일련번호업종명신고일자업소명영업장면적(㎡)소재지전화번호영업자시작일법인명소재지시작일행정동명폐업일자업태명위생교육수료일자객실수한실수양실수의자수욕실수발한실세탁기수허가(신고)번호내외국인구분국적소재지도로명소재지지번
0306000020919852451기타위생용품제조업19851205우진위생지79.102434 252419970315<NA>19970315면목본동<NA>기타위생용품제조업<NA>0<NA><NA><NA><NA>N<NA>3060000-209-1985-02451내국인<NA>서울특별시 중랑구 상봉로11길 55, (면목동)서울특별시 중랑구 면목동 103번지 11호
1306000020919852452기타위생용품제조업19850928세경위생지190.6402 926010420020719<NA>20110629신내1동<NA>기타위생용품제조업<NA>00000N<NA>3060000-209-1985-02452내국인<NA>서울특별시 중랑구 봉화산로53길 32, (신내동)서울특별시 중랑구 신내동 398번지 2호
2306000020919882452기타위생용품제조업19880928세영산업492.8020434496919970310<NA>19970310중화제2동19990615기타위생용품제조업<NA>00000N<NA>3060000-209-1988-02452내국인<NA><NA>서울특별시 중랑구 중화동 290번지 4호
3306000020919882453기타위생용품제조업19880929한양기업0.0020495677619970318<NA>19970318중화제1동20070601기타위생용품제조업<NA>00000N<NA>3060000-209-1988-02453내국인<NA><NA>서울특별시 중랑구 중화동 285번지 12호
4306000020919882456기타위생용품제조업19880115삼화활저67.71020434921319930223<NA>19930223중화제2동19931222기타위생용품제조업<NA>00000N<NA>3060000-209-1988-02456내국인<NA><NA>서울특별시 중랑구 중화동 324번지 14호
5306000020919882458기타위생용품제조업19880822태창위생지0.0020493105219930223<NA>19930223중화제2동19931222기타위생용품제조업<NA>00000N<NA>3060000-209-1988-02458내국인<NA><NA>서울특별시 중랑구 중화동 산 324번지 1호
6306000020919892462기타위생용품제조업19891026조운산업80.48020434278119930223<NA>19930223면목제3.8동19950125기타위생용품제조업<NA>00000N<NA>3060000-209-1989-02462내국인<NA><NA>서울특별시 중랑구 면목동 151번지 21호
7306000020919902454기타위생용품제조업19900509주영산업사51.202 494157819970728<NA>19970728면목제3.8동19970709기타위생용품제조업<NA>00000N<NA>3060000-209-1990-02454내국인<NA><NA>서울특별시 중랑구 면목동 367번지 11호
8306000020919912465기타위생용품제조업19911028신진산업255.71020492533819930223<NA>19930223중화제2동19950107기타위생용품제조업<NA>00000N<NA>3060000-209-1991-02465내국인<NA><NA>서울특별시 중랑구 중화동 산 304번지 39호
9306000020919922455기타위생용품제조업19920122기정산업323.010219970310<NA>19970310망우본동20000630기타위생용품제조업<NA>00000N<NA>3060000-209-1992-02455내국인<NA><NA>서울특별시 중랑구 망우동 213번지 2호
시군구코드업종코드년도업소일련번호업종명신고일자업소명영업장면적(㎡)소재지전화번호영업자시작일법인명소재지시작일행정동명폐업일자업태명위생교육수료일자객실수한실수양실수의자수욕실수발한실세탁기수허가(신고)번호내외국인구분국적소재지도로명소재지지번
22306000020919982464기타위생용품제조업19980213경호산업214.20219980213<NA>19980213묵제2동20000329기타위생용품제조업<NA>00000N<NA>3060000-209-1998-02464내국인<NA><NA>서울특별시 중랑구 묵동 108번지 3호
23306000020919982466기타위생용품제조업19980314가야지기산업83.4802 493354820010421<NA>20010421망우본동20010421기타위생용품제조업<NA>00000N<NA>3060000-209-1998-02466내국인<NA><NA>서울특별시 중랑구 망우동 488번지 16호
24306000020919982467기타위생용품제조업19981030삼호깔끄미50.5702 439241919981030<NA>20020315면목본동20160129기타위생용품제조업<NA>00000N03060000-209-1998-02467내국인<NA>서울특별시 중랑구 면목로84길 53, (면목동)서울특별시 중랑구 면목동 209번지 28호
25306000020920012476기타위생용품제조업20010808금성내프킨98.9402 948548420010808<NA>20010808묵제2동20111031기타위생용품제조업<NA>00000N<NA>3060000-209-2001-02476내국인<NA><NA>서울특별시 중랑구 묵동 238번지 77호
26306000020920012477기타위생용품제조업20011130화이트산업66.0020435996120011130<NA>20011130중화제2동20020315기타위생용품제조업<NA>00000N<NA>3060000-209-2001-02477내국인<NA><NA>서울특별시 중랑구 중화동 310번지 8호
27306000020920021기타위생용품제조업20020121위진할저89.9102 492838820020121<NA>20020121신내1동20021211기타위생용품제조업<NA>00000N<NA>3060000-209-2002-00001내국인<NA><NA>서울특별시 중랑구 신내동 106번지
28306000020920031기타위생용품제조업20030211원진산업105.002 948 835020030211<NA>20051108묵제1동<NA>기타위생용품제조업<NA>0<NA><NA><NA><NA>N<NA>3060000-209-2003-00001내국인<NA>서울특별시 중랑구 숙선옹주로5길 28, (묵동)서울특별시 중랑구 묵동 60번지 4호
29306000020920032기타위생용품제조업20030611종이마을462.002 496055720030611종이마을20030611상봉제1동20110221기타위생용품제조업<NA>0<NA><NA><NA><NA>N<NA>3060000-209-2003-00002내국인<NA><NA>서울특별시 중랑구 상봉동 315번지 20호
30306000020920033기타위생용품제조업20030627화이트 워시(주)강동지사93.08022217791320030627<NA>20030627면목제3.8동20060206기타위생용품제조업<NA>0<NA><NA><NA><NA>N<NA>3060000-209-2003-00003내국인<NA><NA>서울특별시 중랑구 면목동 607번지 11호
31306000020920081기타위생용품제조업20080415굿모닝56.2302495326220080415<NA>20080415면목제4동20100511기타위생용품제조업<NA>00000<NA>03060000-209-2008-00001내국인<NA><NA>서울특별시 중랑구 면목동 393번지 130호 1층