Overview

Dataset statistics

Number of variables34
Number of observations21
Missing cells186
Missing cells (%)26.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory300.3 B

Variable types

Categorical15
Text5
Numeric5
Unsupported8
DateTime1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19688/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
데이터갱신일자 is highly imbalanced (59.1%)Imbalance
회원모집총인원 is highly imbalanced (72.4%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 3 (14.3%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 10 (47.6%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 4 (19.0%) missing valuesMissing
도로명주소 has 1 (4.8%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
세부업종명 has 21 (100.0%) missing valuesMissing
법인명 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:07:22.045740
Analysis finished2024-05-11 06:07:22.693013
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3110000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 21
100.0%

Length

2024-05-11T06:07:22.903918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:23.445229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 21
100.0%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T06:07:23.955290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowCDFH3301111992000001
2nd rowCDFH3301111992000002
3rd rowCDFH3301111992000003
4th rowCDFH3301111992000004
5th rowCDFH3301111993000001
ValueCountFrequency (%)
cdfh3301111992000001 1
 
4.8%
cdfh3301111999000001 1
 
4.8%
cdfh3301112016000001 1
 
4.8%
cdfh3301112004000001 1
 
4.8%
cdfh3301112003000002 1
 
4.8%
cdfh3301112003000001 1
 
4.8%
cdfh3301112001000003 1
 
4.8%
cdfh3301112001000002 1
 
4.8%
cdfh3301112001000001 1
 
4.8%
cdfh3301112000000001 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T06:07:24.993814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
34.0%
1 92
21.9%
3 48
 
11.4%
9 25
 
6.0%
C 21
 
5.0%
D 21
 
5.0%
F 21
 
5.0%
H 21
 
5.0%
2 19
 
4.5%
6 3
 
0.7%
Other values (3) 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
42.6%
1 92
27.4%
3 48
 
14.3%
9 25
 
7.4%
2 19
 
5.7%
6 3
 
0.9%
4 2
 
0.6%
7 2
 
0.6%
8 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 21
25.0%
D 21
25.0%
F 21
25.0%
H 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
42.6%
1 92
27.4%
3 48
 
14.3%
9 25
 
7.4%
2 19
 
5.7%
6 3
 
0.9%
4 2
 
0.6%
7 2
 
0.6%
8 2
 
0.6%
Latin
ValueCountFrequency (%)
C 21
25.0%
D 21
25.0%
F 21
25.0%
H 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
34.0%
1 92
21.9%
3 48
 
11.4%
9 25
 
6.0%
C 21
 
5.0%
D 21
 
5.0%
F 21
 
5.0%
H 21
 
5.0%
2 19
 
4.5%
6 3
 
0.7%
Other values (3) 6
 
1.4%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19996989
Minimum19920826
Maximum20210901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T06:07:25.386794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19920826
5-th percentile19921026
Q119960913
median19980514
Q320011130
95-th percentile20160504
Maximum20210901
Range290075
Interquartile range (IQR)50217

Descriptive statistics

Standard deviation73934.658
Coefficient of variation (CV)0.0036972896
Kurtosis3.2088773
Mean19996989
Median Absolute Deviation (MAD)30616
Skewness1.6614537
Sum4.1993676 × 108
Variance5.4663336 × 109
MonotonicityStrictly increasing
2024-05-11T06:07:25.783551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19920826 1
 
4.8%
19921026 1
 
4.8%
20210901 1
 
4.8%
20160504 1
 
4.8%
20041102 1
 
4.8%
20031104 1
 
4.8%
20030409 1
 
4.8%
20011130 1
 
4.8%
20010802 1
 
4.8%
20010303 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
19920826 1
4.8%
19921026 1
4.8%
19921123 1
4.8%
19921208 1
4.8%
19930906 1
4.8%
19960913 1
4.8%
19961109 1
4.8%
19970423 1
4.8%
19970516 1
4.8%
19980204 1
4.8%
ValueCountFrequency (%)
20210901 1
4.8%
20160504 1
4.8%
20041102 1
4.8%
20031104 1
4.8%
20030409 1
4.8%
20011130 1
4.8%
20010802 1
4.8%
20010303 1
4.8%
20000811 1
4.8%
19990930 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
3
18 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 18
85.7%
1 3
 
14.3%

Length

2024-05-11T06:07:26.181057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:26.503078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 18
85.7%
1 3
 
14.3%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
18 
영업/정상
3 

Length

Max length5
Median length2
Mean length2.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
85.7%
영업/정상 3
 
14.3%

Length

2024-05-11T06:07:26.904239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:27.265941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
85.7%
영업/정상 3
 
14.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
3
18 
13
3 

Length

Max length2
Median length1
Mean length1.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 18
85.7%
13 3
 
14.3%

Length

2024-05-11T06:07:27.670300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:28.020306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 18
85.7%
13 3
 
14.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
18 
영업중
3 

Length

Max length3
Median length2
Mean length2.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
85.7%
영업중 3
 
14.3%

Length

2024-05-11T06:07:28.402883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:28.766027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
85.7%
영업중 3
 
14.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)88.9%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean20054074
Minimum19980206
Maximum20211101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T06:07:29.073009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980206
5-th percentile19980628
Q119995919
median20051114
Q320073155
95-th percentile20168011
Maximum20211101
Range230895
Interquartile range (IQR)77236

Descriptive statistics

Standard deviation65007.717
Coefficient of variation (CV)0.0032416214
Kurtosis0.7803359
Mean20054074
Median Absolute Deviation (MAD)35341
Skewness1.0525753
Sum3.6097334 × 108
Variance4.2260032 × 109
MonotonicityNot monotonic
2024-05-11T06:07:29.432022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20051115 3
14.3%
19980703 1
 
4.8%
20211101 1
 
4.8%
20040602 1
 
4.8%
20081009 1
 
4.8%
20080501 1
 
4.8%
20051114 1
 
4.8%
19990226 1
 
4.8%
19991116 1
 
4.8%
20051116 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 3
14.3%
ValueCountFrequency (%)
19980206 1
 
4.8%
19980703 1
 
4.8%
19990226 1
 
4.8%
19990520 1
 
4.8%
19991116 1
 
4.8%
20010327 1
 
4.8%
20040602 1
 
4.8%
20050121 1
 
4.8%
20051114 1
 
4.8%
20051115 3
14.3%
ValueCountFrequency (%)
20211101 1
 
4.8%
20160407 1
 
4.8%
20150925 1
 
4.8%
20081009 1
 
4.8%
20080501 1
 
4.8%
20051116 1
 
4.8%
20051115 3
14.3%
20051114 1
 
4.8%
20050121 1
 
4.8%
20040602 1
 
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing10
Missing (%)47.6%
Memory size300.0 B
2024-05-11T06:07:29.883438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1818182
Min length8

Characters and Unicode

Total characters90
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

Unique11 ?
Unique (%)100.0%

Sample

1st row357-9377
2nd row382-5784
3rd row374-9700
4th row353-3811
5th row356-7856
ValueCountFrequency (%)
357-9377 1
9.1%
382-5784 1
9.1%
374-9700 1
9.1%
353-3811 1
9.1%
356-7856 1
9.1%
023573046 1
9.1%
387--0505 1
9.1%
382-0643 1
9.1%
354-6225 1
9.1%
385-1859 1
9.1%
2024-05-11T06:07:30.852750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 17
18.9%
5 15
16.7%
- 11
12.2%
7 9
10.0%
8 8
8.9%
0 7
7.8%
2 5
 
5.6%
4 5
 
5.6%
1 5
 
5.6%
6 5
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79
87.8%
Dash Punctuation 11
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 17
21.5%
5 15
19.0%
7 9
11.4%
8 8
10.1%
0 7
8.9%
2 5
 
6.3%
4 5
 
6.3%
1 5
 
6.3%
6 5
 
6.3%
9 3
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 17
18.9%
5 15
16.7%
- 11
12.2%
7 9
10.0%
8 8
8.9%
0 7
7.8%
2 5
 
5.6%
4 5
 
5.6%
1 5
 
5.6%
6 5
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 17
18.9%
5 15
16.7%
- 11
12.2%
7 9
10.0%
8 8
8.9%
0 7
7.8%
2 5
 
5.6%
4 5
 
5.6%
1 5
 
5.6%
6 5
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)58.8%
Missing4
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean122857.29
Minimum122809
Maximum122924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T06:07:31.209577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122809
5-th percentile122809
Q1122837
median122858
Q3122860
95-th percentile122922.4
Maximum122924
Range115
Interquartile range (IQR)23

Descriptive statistics

Standard deviation33.616894
Coefficient of variation (CV)0.00027362555
Kurtosis0.39701135
Mean122857.29
Median Absolute Deviation (MAD)16
Skewness0.83318701
Sum2088574
Variance1130.0956
MonotonicityNot monotonic
2024-05-11T06:07:31.756141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
122858 4
19.0%
122809 2
9.5%
122837 2
9.5%
122860 2
9.5%
122842 2
9.5%
122831 1
 
4.8%
122924 1
 
4.8%
122859 1
 
4.8%
122922 1
 
4.8%
122910 1
 
4.8%
(Missing) 4
19.0%
ValueCountFrequency (%)
122809 2
9.5%
122831 1
 
4.8%
122837 2
9.5%
122842 2
9.5%
122858 4
19.0%
122859 1
 
4.8%
122860 2
9.5%
122910 1
 
4.8%
122922 1
 
4.8%
122924 1
 
4.8%
ValueCountFrequency (%)
122924 1
 
4.8%
122922 1
 
4.8%
122910 1
 
4.8%
122860 2
9.5%
122859 1
 
4.8%
122858 4
19.0%
122842 2
9.5%
122837 2
9.5%
122831 1
 
4.8%
122809 2
9.5%

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T06:07:32.135843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length23.047619
Min length20

Characters and Unicode

Total characters484
Distinct characters33
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 녹번동 117-112번지
2nd row서울특별시 은평구 불광동 274-19번지
3rd row서울특별시 은평구 갈현동 396-8번지
4th row서울특별시 은평구 대조동 15-34번지
5th row서울특별시 은평구 불광동 486-20번지
ValueCountFrequency (%)
서울특별시 21
23.9%
은평구 21
23.9%
불광동 9
10.2%
대조동 5
 
5.7%
갈현동 3
 
3.4%
응암동 3
 
3.4%
4층 3
 
3.4%
396-8번지 2
 
2.3%
14-13번지 1
 
1.1%
185-4번지 1
 
1.1%
Other values (19) 19
21.6%
2024-05-11T06:07:33.038804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
18.2%
1 24
 
5.0%
서 21
 
4.3%
- 21
 
4.3%
특 21
 
4.3%
별 21
 
4.3%
시 21
 
4.3%
은 21
 
4.3%
평 21
 
4.3%
구 21
 
4.3%
Other values (23) 204
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
56.0%
Decimal Number 104
 
21.5%
Space Separator 88
 
18.2%
Dash Punctuation 21
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 21
 
7.7%
특 21
 
7.7%
별 21
 
7.7%
시 21
 
7.7%
은 21
 
7.7%
평 21
 
7.7%
구 21
 
7.7%
울 21
 
7.7%
동 21
 
7.7%
번 19
 
7.0%
Other values (11) 63
23.2%
Decimal Number
ValueCountFrequency (%)
1 24
23.1%
8 13
12.5%
2 13
12.5%
4 12
11.5%
3 10
9.6%
0 10
9.6%
9 6
 
5.8%
5 6
 
5.8%
7 5
 
4.8%
6 5
 
4.8%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 271
56.0%
Common 213
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 21
 
7.7%
특 21
 
7.7%
별 21
 
7.7%
시 21
 
7.7%
은 21
 
7.7%
평 21
 
7.7%
구 21
 
7.7%
울 21
 
7.7%
동 21
 
7.7%
번 19
 
7.0%
Other values (11) 63
23.2%
Common
ValueCountFrequency (%)
88
41.3%
1 24
 
11.3%
- 21
 
9.9%
8 13
 
6.1%
2 13
 
6.1%
4 12
 
5.6%
3 10
 
4.7%
0 10
 
4.7%
9 6
 
2.8%
5 6
 
2.8%
Other values (2) 10
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
56.0%
ASCII 213
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
41.3%
1 24
 
11.3%
- 21
 
9.9%
8 13
 
6.1%
2 13
 
6.1%
4 12
 
5.6%
3 10
 
4.7%
0 10
 
4.7%
9 6
 
2.8%
5 6
 
2.8%
Other values (2) 10
 
4.7%
Hangul
ValueCountFrequency (%)
서 21
 
7.7%
특 21
 
7.7%
별 21
 
7.7%
시 21
 
7.7%
은 21
 
7.7%
평 21
 
7.7%
구 21
 
7.7%
울 21
 
7.7%
동 21
 
7.7%
번 19
 
7.0%
Other values (11) 63
23.2%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-05-11T06:07:33.584965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26.5
Mean length25.1
Min length24

Characters and Unicode

Total characters502
Distinct characters40
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 통일로 697 (녹번동)
2nd row서울특별시 은평구 통일로 855-16 (갈현동)
3rd row서울특별시 은평구 통일로 709 (대조동)
4th row서울특별시 은평구 통일로80길 3 (불광동)
5th row서울특별시 은평구 응암로13길 14 (응암동)
ValueCountFrequency (%)
서울특별시 20
19.4%
은평구 20
19.4%
통일로 13
12.6%
불광동 8
 
7.8%
대조동 5
 
4.9%
갈현동 3
 
2.9%
응암로 2
 
1.9%
응암동 2
 
1.9%
724 2
 
1.9%
4층 2
 
1.9%
Other values (26) 26
25.2%
2024-05-11T06:07:34.469671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
19.3%
서 21
 
4.2%
( 20
 
4.0%
특 20
 
4.0%
별 20
 
4.0%
시 20
 
4.0%
은 20
 
4.0%
평 20
 
4.0%
구 20
 
4.0%
로 20
 
4.0%
Other values (30) 224
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
57.2%
Space Separator 97
 
19.3%
Decimal Number 70
 
13.9%
Open Punctuation 20
 
4.0%
Close Punctuation 20
 
4.0%
Other Punctuation 4
 
0.8%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 21
 
7.3%
특 20
 
7.0%
별 20
 
7.0%
시 20
 
7.0%
은 20
 
7.0%
평 20
 
7.0%
구 20
 
7.0%
로 20
 
7.0%
울 20
 
7.0%
동 20
 
7.0%
Other values (15) 86
30.0%
Decimal Number
ValueCountFrequency (%)
8 11
15.7%
3 9
12.9%
2 8
11.4%
7 8
11.4%
5 8
11.4%
1 8
11.4%
4 6
8.6%
0 6
8.6%
6 3
 
4.3%
9 3
 
4.3%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
57.2%
Common 215
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 21
 
7.3%
특 20
 
7.0%
별 20
 
7.0%
시 20
 
7.0%
은 20
 
7.0%
평 20
 
7.0%
구 20
 
7.0%
로 20
 
7.0%
울 20
 
7.0%
동 20
 
7.0%
Other values (15) 86
30.0%
Common
ValueCountFrequency (%)
97
45.1%
( 20
 
9.3%
) 20
 
9.3%
8 11
 
5.1%
3 9
 
4.2%
2 8
 
3.7%
7 8
 
3.7%
5 8
 
3.7%
1 8
 
3.7%
4 6
 
2.8%
Other values (5) 20
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
57.2%
ASCII 215
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
45.1%
( 20
 
9.3%
) 20
 
9.3%
8 11
 
5.1%
3 9
 
4.2%
2 8
 
3.7%
7 8
 
3.7%
5 8
 
3.7%
1 8
 
3.7%
4 6
 
2.8%
Other values (5) 20
 
9.3%
Hangul
ValueCountFrequency (%)
서 21
 
7.3%
특 20
 
7.0%
별 20
 
7.0%
시 20
 
7.0%
은 20
 
7.0%
평 20
 
7.0%
구 20
 
7.0%
로 20
 
7.0%
울 20
 
7.0%
동 20
 
7.0%
Other values (15) 86
30.0%

도로명우편번호
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
16 
3368
2 
3344
 
1
3329
 
1
3397
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row3344

Common Values

ValueCountFrequency (%)
<NA> 16
76.2%
3368 2
 
9.5%
3344 1
 
4.8%
3329 1
 
4.8%
3397 1
 
4.8%

Length

2024-05-11T06:07:34.852829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:35.178667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
76.2%
3368 2
 
9.5%
3344 1
 
4.8%
3329 1
 
4.8%
3397 1
 
4.8%

사업장명
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T06:07:35.640070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.1904762
Min length2

Characters and Unicode

Total characters130
Distinct characters40
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

Unique15 ?
Unique (%)71.4%

Sample

1st row현대무도학원
2nd row불광무도학원
3rd row서울무도학원
4th row은평무도학원
5th row한양무도학원
ValueCountFrequency (%)
서울무도학원 2
 
9.1%
영무도학원 2
 
9.1%
불광무도학원 2
 
9.1%
대교무도학원 1
 
4.5%
궁전 1
 
4.5%
현대무도학원 1
 
4.5%
제일무도연습장 1
 
4.5%
한미무도학원 1
 
4.5%
광장무도학원 1
 
4.5%
아사모생활댄스연수학원 1
 
4.5%
Other values (9) 9
40.9%
2024-05-11T06:07:36.515005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
무 19
14.6%
도 19
14.6%
원 17
13.1%
학 16
12.3%
연 6
 
4.6%
장 5
 
3.8%
습 4
 
3.1%
광 3
 
2.3%
서 2
 
1.5%
대 2
 
1.5%
Other values (30) 37
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 19
14.7%
도 19
14.7%
원 17
13.2%
학 16
12.4%
연 6
 
4.7%
장 5
 
3.9%
습 4
 
3.1%
광 3
 
2.3%
서 2
 
1.6%
대 2
 
1.6%
Other values (29) 36
27.9%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 19
14.7%
도 19
14.7%
원 17
13.2%
학 16
12.4%
연 6
 
4.7%
장 5
 
3.9%
습 4
 
3.1%
광 3
 
2.3%
서 2
 
1.6%
대 2
 
1.6%
Other values (29) 36
27.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
무 19
14.7%
도 19
14.7%
원 17
13.2%
학 16
12.4%
연 6
 
4.7%
장 5
 
3.9%
습 4
 
3.1%
광 3
 
2.3%
서 2
 
1.6%
대 2
 
1.6%
Other values (29) 36
27.9%
ASCII
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2003-04-17 19:25:48
Maximum2021-11-25 09:11:24
2024-05-11T06:07:36.845661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:07:37.192228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
18 
U
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
85.7%
U 3
 
14.3%

Length

2024-05-11T06:07:37.537880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:37.837674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
85.7%
u 3
 
14.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2018-08-31 23:59:59.0
18 
2021-11-10 02:40:00.0
 
1
2021-11-27 02:40:00.0
 
1
2021-11-03 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 18
85.7%
2021-11-10 02:40:00.0 1
 
4.8%
2021-11-27 02:40:00.0 1
 
4.8%
2021-11-03 02:40:00.0 1
 
4.8%

Length

2024-05-11T06:07:38.179849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:38.521231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 18
42.9%
23:59:59.0 18
42.9%
02:40:00.0 3
 
7.1%
2021-11-10 1
 
2.4%
2021-11-27 1
 
2.4%
2021-11-03 1
 
2.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193320.48
Minimum192480.45
Maximum193903.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T06:07:38.870571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192480.45
5-th percentile192638.55
Q1192957.59
median193109.42
Q3193784.76
95-th percentile193863.64
Maximum193903.33
Range1422.8848
Interquartile range (IQR)827.17037

Descriptive statistics

Standard deviation477.79558
Coefficient of variation (CV)0.0024715208
Kurtosis-1.6607094
Mean193320.48
Median Absolute Deviation (MAD)561.73199
Skewness-0.12813144
Sum4059730.1
Variance228288.62
MonotonicityNot monotonic
2024-05-11T06:07:39.268893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
193784.756952473 2
 
9.5%
192892.044624782 2
 
9.5%
193863.639047178 1
 
4.8%
193671.151835754 1
 
4.8%
193755.728494762 1
 
4.8%
192965.380042419 1
 
4.8%
192958.23121253 1
 
4.8%
193030.130167261 1
 
4.8%
193765.861591618 1
 
4.8%
192638.550004963 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
192480.448629367 1
4.8%
192638.550004963 1
4.8%
192888.942502003 1
4.8%
192892.044624782 2
9.5%
192957.586581568 1
4.8%
192958.23121253 1
4.8%
192965.380042419 1
4.8%
193030.130167261 1
4.8%
193030.549438695 1
4.8%
193109.419843332 1
4.8%
ValueCountFrequency (%)
193903.333435372 1
4.8%
193863.639047178 1
4.8%
193846.493626916 1
4.8%
193818.798979242 1
4.8%
193784.756952473 2
9.5%
193765.861591618 1
4.8%
193755.728494762 1
4.8%
193692.22840469 1
4.8%
193671.151835754 1
4.8%
193109.419843332 1
4.8%

좌표정보(Y)
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456520.43
Minimum454130.62
Maximum457526.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T06:07:39.695004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum454130.62
5-th percentile454206.88
Q1456340.36
median456445.07
Q3457343.61
95-th percentile457487.64
Maximum457526.15
Range3395.5325
Interquartile range (IQR)1003.2459

Descriptive statistics

Standard deviation977.63268
Coefficient of variation (CV)0.0021414872
Kurtosis1.5647547
Mean456520.43
Median Absolute Deviation (MAD)833.72838
Skewness-1.3036608
Sum9586929.1
Variance955765.66
MonotonicityNot monotonic
2024-05-11T06:07:40.230572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
456445.07450097 2
 
9.5%
457465.324998169 2
 
9.5%
456340.360154447 1
 
4.8%
456443.282712175 1
 
4.8%
456400.87908413 1
 
4.8%
457343.606034925 1
 
4.8%
457487.644551441 1
 
4.8%
455321.511069497 1
 
4.8%
456471.846172279 1
 
4.8%
454206.883795033 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
454130.620015583 1
4.8%
454206.883795033 1
4.8%
455321.511069497 1
4.8%
456197.927159351 1
4.8%
456308.321186721 1
4.8%
456340.360154447 1
4.8%
456367.509113467 1
4.8%
456400.87908413 1
4.8%
456443.282712175 1
4.8%
456445.07450097 2
9.5%
ValueCountFrequency (%)
457526.152475541 1
4.8%
457487.644551441 1
4.8%
457465.324998169 2
9.5%
457417.384961226 1
4.8%
457343.606034925 1
4.8%
457283.116536759 1
4.8%
457278.802885165 1
4.8%
456582.4567796 1
4.8%
456471.846172279 1
4.8%
456445.07450097 2
9.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
무도학원업
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 21
100.0%

Length

2024-05-11T06:07:40.764376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:41.075089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 21
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
사립
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 21
100.0%

Length

2024-05-11T06:07:41.425327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:41.743898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 21
100.0%

보험가입여부코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
0
9 

Length

Max length4
Median length4
Mean length2.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
0 9
42.9%

Length

2024-05-11T06:07:42.121697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:42.810438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
57.1%
0 9
42.9%

지도자수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
14 
0
7 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
66.7%
0 7
33.3%

Length

2024-05-11T06:07:43.437030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:43.788976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
66.7%
0 7
33.3%

건축물동수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
14 
0
7 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
66.7%
0 7
33.3%

Length

2024-05-11T06:07:44.306409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:45.016911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
66.7%
0 7
33.3%

건축물연면적
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
13 
0.0
7 
623.65
 
1

Length

Max length6
Median length4
Mean length3.7619048
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0.0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row623.65

Common Values

ValueCountFrequency (%)
<NA> 13
61.9%
0.0 7
33.3%
623.65 1
 
4.8%

Length

2024-05-11T06:07:45.678185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:46.274172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
61.9%
0.0 7
33.3%
623.65 1
 
4.8%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T06:07:47.001497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:07:47.391051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03110000CDFH330111199200000119920826<NA>3폐업3폐업19991116<NA><NA><NA><NA><NA>122831서울특별시 은평구 녹번동 117-112번지서울특별시 은평구 통일로 697 (녹번동)<NA>현대무도학원2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193903.333435456197.927159무도학원업사립<NA>000.0<NA><NA><NA>
13110000CDFH330111199200000219921026<NA>3폐업3폐업20051116<NA><NA><NA><NA><NA>122858서울특별시 은평구 불광동 274-19번지<NA><NA>불광무도학원2006-01-05 09:38:18I2018-08-31 23:59:59.0<NA>193692.228405456582.45678무도학원업사립0<NA><NA><NA><NA><NA><NA>
23110000CDFH330111199200000319921123<NA>3폐업3폐업20150925<NA><NA><NA>357-9377<NA>122809서울특별시 은평구 갈현동 396-8번지서울특별시 은평구 통일로 855-16 (갈현동)<NA>서울무도학원2015-09-25 11:50:50I2018-08-31 23:59:59.0<NA>192892.044625457465.324998무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
33110000CDFH330111199200000419921208<NA>3폐업3폐업20050121<NA><NA><NA><NA><NA>122837서울특별시 은평구 대조동 15-34번지서울특별시 은평구 통일로 709 (대조동)<NA>은평무도학원2006-01-05 09:38:48I2018-08-31 23:59:59.0<NA>193818.798979456308.321187무도학원업사립0<NA><NA><NA><NA><NA><NA>
43110000CDFH330111199300000119930906<NA>3폐업3폐업20160407<NA><NA><NA>382-5784<NA>122860서울특별시 은평구 불광동 486-20번지서울특별시 은평구 통일로80길 3 (불광동)3344한양무도학원2016-04-07 17:50:46I2018-08-31 23:59:59.0<NA>192957.586582457526.152476무도학원업사립<NA><NA><NA>623.65<NA><NA><NA>
53110000CDFH330111199600000119960913<NA>3폐업3폐업20051115<NA><NA><NA>374-9700<NA>122924서울특별시 은평구 응암동 590-23번지서울특별시 은평구 응암로13길 14 (응암동)<NA>응암무도학원2006-01-05 09:40:55I2018-08-31 23:59:59.0<NA>192480.448629454130.620016무도학원업사립0<NA><NA><NA><NA><NA><NA>
63110000CDFH330111199600000219961109<NA>3폐업3폐업19980206<NA><NA><NA><NA><NA>122842서울특별시 은평구 대조동 185-8번지서울특별시 은평구 통일로 835 (대조동)<NA>연신무도연습장2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193030.549439457283.116537무도학원업사립<NA>000.0<NA><NA><NA>
73110000CDFH330111199700000119970423<NA>3폐업3폐업20010327<NA><NA><NA><NA><NA>122859서울특별시 은평구 불광동 304-2번지서울특별시 은평구 통일로 830 (불광동)<NA>궁원무도연습장2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193109.419843457278.802885무도학원업사립<NA>000.0<NA><NA><NA>
83110000CDFH330111199700000219970516<NA>3폐업3폐업19990520<NA><NA><NA><NA><NA>122858서울특별시 은평구 불광동 281-178번지서울특별시 은평구 통일로 712-1 (불광동)<NA>통일무도연습장2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193846.493627456367.509113무도학원업사립<NA>000.0<NA><NA><NA>
93110000CDFH330111199800000119980204<NA>3폐업3폐업19980703<NA><NA><NA><NA><NA>122809서울특별시 은평구 갈현동 396-12번지서울특별시 은평구 통일로 855-8 (갈현동)<NA>쌍쌍2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>192888.942502457417.384961무도학원업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
113110000CDFH330111199900000119990930<NA>3폐업3폐업20051114<NA><NA><NA>353-3811<NA>122858서울특별시 은평구 불광동 285-27번지서울특별시 은평구 통일로 710 (불광동)<NA>보건무도학원2006-01-05 09:40:15I2018-08-31 23:59:59.0<NA>193863.639047456340.360154무도학원업사립0<NA><NA><NA><NA><NA><NA>
123110000CDFH330111200000000120000811<NA>3폐업3폐업20051115<NA><NA><NA>356-7856<NA>122922서울특별시 은평구 응암동 576-48번지서울특별시 은평구 응암로 204 (응암동)<NA>대교무도학원2006-01-05 09:41:23I2018-08-31 23:59:59.0<NA>192638.550005454206.883795무도학원업사립0<NA><NA><NA><NA><NA><NA>
133110000CDFH330111200100000120010303<NA>1영업/정상13영업중<NA><NA><NA><NA>023573046<NA><NA>서울특별시 은평구 불광동 281-104 4층서울특별시 은평구 통일로 728, 4층 (불광동)3368아사모생활댄스연수학원2021-11-08 17:19:31U2021-11-10 02:40:00.0<NA>193765.861592456471.846172무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
143110000CDFH330111200100000220010802<NA>3폐업3폐업20051115<NA><NA><NA>387--0505<NA>122910서울특별시 은평구 응암동 109-1번지 3층서울특별시 은평구 응암로 323 (응암동,3층)<NA>광장무도학원2006-01-05 09:41:48I2018-08-31 23:59:59.0<NA>193030.130167455321.511069무도학원업사립0<NA><NA><NA><NA><NA><NA>
153110000CDFH330111200100000320011130<NA>3폐업3폐업20080501<NA><NA><NA>382-0643<NA>122860서울특별시 은평구 불광동 311-3번지서울특별시 은평구 통일로 858 (불광동)<NA>영무도학원2008-05-02 16:56:11I2018-08-31 23:59:59.0<NA>192958.231213457487.644551무도학원업사립0<NA><NA><NA><NA><NA><NA>
163110000CDFH330111200300000120030409<NA>3폐업3폐업20081009<NA><NA><NA>354-6225<NA>122842서울특별시 은평구 대조동 185-4번지서울특별시 은평구 연서로 230-5 (대조동)<NA>한미무도학원2008-10-09 17:02:31I2018-08-31 23:59:59.0<NA>192965.380042457343.606035무도학원업사립0<NA><NA><NA><NA><NA><NA>
173110000CDFH330111200300000220031104<NA>3폐업3폐업20040602<NA><NA><NA>385-1859<NA>122837서울특별시 은평구 대조동 14-13번지서울특별시 은평구 통일로 719 (대조동)<NA>영무도학원2005-12-07 17:58:34I2018-08-31 23:59:59.0<NA>193755.728495456400.879084무도학원업사립0<NA><NA><NA><NA><NA><NA>
183110000CDFH330111200400000120041102<NA>1영업/정상13영업중<NA><NA><NA><NA>355-1531<NA><NA>서울특별시 은평구 불광동 281-100 4층서울특별시 은평구 통일로 724, 4층 (불광동)3368불광무도학원2021-11-25 09:11:24U2021-11-27 02:40:00.0<NA>193784.756952456445.074501무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
193110000CDFH330111201600000120160504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 396-8번지 4층서울특별시 은평구 통일로85길 16 (갈현동)3329서울무도학원2016-05-04 17:39:23I2018-08-31 23:59:59.0<NA>192892.044625457465.324998무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
203110000CDFH330111202100000120210901<NA>3폐업3폐업20211101<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 14-20서울특별시 은평구 불광로 28, 3층 (대조동)3397궁전 무도학원2021-11-01 14:55:29U2021-11-03 02:40:00.0<NA>193671.151836456443.282712무도학원업사립<NA>000.00<NA><NA>