Overview

Dataset statistics

Number of variables20
Number of observations32
Missing cells176
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory177.1 B

Variable types

Numeric6
Text4
Categorical5
Unsupported5

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15028/S/1/datasetView.do

Alerts

영업상태명 has constant value ""Constant
여성복지시설종류 has constant value ""Constant
여성복지시설종류명 has constant value ""Constant
번호 is highly overall correlated with 상세영업상태명High correlation
인허가일자 is highly overall correlated with 설치일자 and 1 other fieldsHigh correlation
설치일자 is highly overall correlated with 인허가일자 and 1 other fieldsHigh correlation
위치정보(X) is highly overall correlated with 상세영업상태명High correlation
위치정보(Y) is highly overall correlated with 인허가번호 and 1 other fieldsHigh correlation
인허가번호 is highly overall correlated with 위치정보(Y) and 1 other fieldsHigh correlation
상세영업상태명 is highly overall correlated with 번호 and 5 other fieldsHigh correlation
재개업일자 is highly imbalanced (79.9%)Imbalance
상세영업상태명 is highly imbalanced (66.3%)Imbalance
도로명전체주소 has 7 (21.9%) missing valuesMissing
폐업일자 has 32 (100.0%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
소재지우편번호 has 32 (100.0%) missing valuesMissing
전화번호 has 7 (21.9%) missing valuesMissing
위치정보(X) has 1 (3.1%) missing valuesMissing
위치정보(Y) has 1 (3.1%) missing valuesMissing
번호 has unique valuesUnique
소재지전체주소 has unique valuesUnique
인허가번호 has unique valuesUnique
폐업일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 06:18:36.003851
Analysis finished2023-12-11 06:18:41.539589
Duration5.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T15:18:41.601866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-11T15:18:41.731012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

사업장명
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T15:18:41.983486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length16.0625
Min length7

Characters and Unicode

Total characters514
Distinct characters108
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

Unique30 ?
Unique (%)93.8%

Sample

1st row한국가정법률상담소 중구지부 가정폭력상담원 교육원
2nd row서울가정폭력상담교육원
3rd row(재)한국여성인권진흥원
4th row(사)월드유스비전 부설 성폭력상담 교육원
5th row사단법인 행복한가정문화원
ValueCountFrequency (%)
교육원 4
 
6.6%
부설 3
 
4.9%
교육훈련시설 3
 
4.9%
서울가정폭력상담교육원 2
 
3.3%
평생교육원 2
 
3.3%
가정폭력 2
 
3.3%
상담원 2
 
3.3%
가정폭력상담원 2
 
3.3%
다세움가정폭력상담교육원 2
 
3.3%
한국가정법률상담소 2
 
3.3%
Other values (37) 37
60.7%
2023-12-11T15:18:42.375769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 32
 
6.2%
교 31
 
6.0%
29
 
5.6%
육 26
 
5.1%
상 22
 
4.3%
담 22
 
4.3%
가 21
 
4.1%
정 20
 
3.9%
폭 17
 
3.3%
력 17
 
3.3%
Other values (98) 277
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
91.6%
Space Separator 29
 
5.6%
Close Punctuation 7
 
1.4%
Open Punctuation 7
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 32
 
6.8%
교 31
 
6.6%
육 26
 
5.5%
상 22
 
4.7%
담 22
 
4.7%
가 21
 
4.5%
정 20
 
4.2%
폭 17
 
3.6%
력 17
 
3.6%
설 13
 
2.8%
Other values (95) 250
53.1%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
91.6%
Common 43
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 32
 
6.8%
교 31
 
6.6%
육 26
 
5.5%
상 22
 
4.7%
담 22
 
4.7%
가 21
 
4.5%
정 20
 
4.2%
폭 17
 
3.6%
력 17
 
3.6%
설 13
 
2.8%
Other values (95) 250
53.1%
Common
ValueCountFrequency (%)
29
67.4%
) 7
 
16.3%
( 7
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
91.6%
ASCII 43
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 32
 
6.8%
교 31
 
6.6%
육 26
 
5.5%
상 22
 
4.7%
담 22
 
4.7%
가 21
 
4.5%
정 20
 
4.2%
폭 17
 
3.6%
력 17
 
3.6%
설 13
 
2.8%
Other values (95) 250
53.1%
ASCII
ValueCountFrequency (%)
29
67.4%
) 7
 
16.3%
( 7
 
16.3%

소재지전체주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T15:18:42.680371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length24.5
Min length13

Characters and Unicode

Total characters784
Distinct characters103
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 신당동 402-9번지
2nd row서울특별시 중구 신당동 144-32번지 3층
3rd row서울특별시 중구 중림동
4th row서울특별시 송파구 오금동 48-12번지 서일빌딩 2층
5th row서울특별시 동작구 상도동 171-1번지 서현빌딩 4층
ValueCountFrequency (%)
서울특별시 32
 
22.5%
영등포구 6
 
4.2%
강서구 3
 
2.1%
서초구 3
 
2.1%
강북구 3
 
2.1%
중구 3
 
2.1%
미아동 3
 
2.1%
4층 2
 
1.4%
신길동 2
 
1.4%
내발산동 2
 
1.4%
Other values (78) 83
58.5%
2023-12-11T15:18:43.155441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
17.9%
서 43
 
5.5%
구 34
 
4.3%
울 33
 
4.2%
동 33
 
4.2%
지 32
 
4.1%
특 32
 
4.1%
시 32
 
4.1%
별 32
 
4.1%
번 30
 
3.8%
Other values (93) 343
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
61.9%
Space Separator 140
 
17.9%
Decimal Number 132
 
16.8%
Dash Punctuation 27
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 43
 
8.9%
구 34
 
7.0%
울 33
 
6.8%
동 33
 
6.8%
지 32
 
6.6%
특 32
 
6.6%
시 32
 
6.6%
별 32
 
6.6%
번 30
 
6.2%
영 9
 
1.9%
Other values (81) 175
36.1%
Decimal Number
ValueCountFrequency (%)
1 26
19.7%
3 16
12.1%
2 15
11.4%
8 15
11.4%
4 13
9.8%
5 13
9.8%
6 10
 
7.6%
7 9
 
6.8%
0 8
 
6.1%
9 7
 
5.3%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
61.9%
Common 299
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 43
 
8.9%
구 34
 
7.0%
울 33
 
6.8%
동 33
 
6.8%
지 32
 
6.6%
특 32
 
6.6%
시 32
 
6.6%
별 32
 
6.6%
번 30
 
6.2%
영 9
 
1.9%
Other values (81) 175
36.1%
Common
ValueCountFrequency (%)
140
46.8%
- 27
 
9.0%
1 26
 
8.7%
3 16
 
5.4%
2 15
 
5.0%
8 15
 
5.0%
4 13
 
4.3%
5 13
 
4.3%
6 10
 
3.3%
7 9
 
3.0%
Other values (2) 15
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
61.9%
ASCII 299
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
46.8%
- 27
 
9.0%
1 26
 
8.7%
3 16
 
5.4%
2 15
 
5.0%
8 15
 
5.0%
4 13
 
4.3%
5 13
 
4.3%
6 10
 
3.3%
7 9
 
3.0%
Other values (2) 15
 
5.0%
Hangul
ValueCountFrequency (%)
서 43
 
8.9%
구 34
 
7.0%
울 33
 
6.8%
동 33
 
6.8%
지 32
 
6.6%
특 32
 
6.6%
시 32
 
6.6%
별 32
 
6.6%
번 30
 
6.2%
영 9
 
1.9%
Other values (81) 175
36.1%

도로명전체주소
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing7
Missing (%)21.9%
Memory size388.0 B
2023-12-11T15:18:43.471168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length30.08
Min length22

Characters and Unicode

Total characters752
Distinct characters114
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 서소문로 50 (중림동)
2nd row서울특별시 송파구 중대로25길 10-1, 2층 (오금동)
3rd row서울특별시 동작구 장승배기로10길 49 (상도동)
4th row서울특별시 영등포구 영신로34길 18 (영등포동4가)
5th row서울특별시 영등포구 국회대로74길 10 (여의도동)
ValueCountFrequency (%)
서울특별시 25
 
17.1%
영등포구 6
 
4.1%
순봉빌딩 2
 
1.4%
내발산동 2
 
1.4%
290 2
 
1.4%
공항대로 2
 
1.4%
강서구 2
 
1.4%
미아동 2
 
1.4%
도봉로 2
 
1.4%
강북구 2
 
1.4%
Other values (94) 99
67.8%
2023-12-11T15:18:43.969977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
16.6%
서 33
 
4.4%
로 29
 
3.9%
동 28
 
3.7%
구 27
 
3.6%
시 26
 
3.5%
울 25
 
3.3%
( 25
 
3.3%
) 25
 
3.3%
특 25
 
3.3%
Other values (104) 384
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
58.9%
Space Separator 125
 
16.6%
Decimal Number 110
 
14.6%
Open Punctuation 25
 
3.3%
Close Punctuation 25
 
3.3%
Other Punctuation 18
 
2.4%
Dash Punctuation 5
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 33
 
7.4%
로 29
 
6.5%
동 28
 
6.3%
구 27
 
6.1%
시 26
 
5.9%
울 25
 
5.6%
특 25
 
5.6%
별 25
 
5.6%
길 12
 
2.7%
영 11
 
2.5%
Other values (87) 202
45.6%
Decimal Number
ValueCountFrequency (%)
1 24
21.8%
2 16
14.5%
4 13
11.8%
3 13
11.8%
0 12
10.9%
5 10
9.1%
6 9
 
8.2%
8 5
 
4.5%
9 4
 
3.6%
7 4
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 443
58.9%
Common 308
41.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 33
 
7.4%
로 29
 
6.5%
동 28
 
6.3%
구 27
 
6.1%
시 26
 
5.9%
울 25
 
5.6%
특 25
 
5.6%
별 25
 
5.6%
길 12
 
2.7%
영 11
 
2.5%
Other values (87) 202
45.6%
Common
ValueCountFrequency (%)
125
40.6%
( 25
 
8.1%
) 25
 
8.1%
1 24
 
7.8%
, 17
 
5.5%
2 16
 
5.2%
4 13
 
4.2%
3 13
 
4.2%
0 12
 
3.9%
5 10
 
3.2%
Other values (6) 28
 
9.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 443
58.9%
ASCII 309
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
40.5%
( 25
 
8.1%
) 25
 
8.1%
1 24
 
7.8%
, 17
 
5.5%
2 16
 
5.2%
4 13
 
4.2%
3 13
 
4.2%
0 12
 
3.9%
5 10
 
3.2%
Other values (7) 29
 
9.4%
Hangul
ValueCountFrequency (%)
서 33
 
7.4%
로 29
 
6.5%
동 28
 
6.3%
구 27
 
6.1%
시 26
 
5.9%
울 25
 
5.6%
특 25
 
5.6%
별 25
 
5.6%
길 12
 
2.7%
영 11
 
2.5%
Other values (87) 202
45.6%

인허가일자
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115306
Minimum20070119
Maximum20180118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T15:18:44.164185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070119
5-th percentile20070172
Q120080847
median20120477
Q320140738
95-th percentile20165338
Maximum20180118
Range109999
Interquartile range (IQR)59890.5

Descriptive statistics

Standard deviation33953.336
Coefficient of variation (CV)0.0016879354
Kurtosis-1.2072213
Mean20115306
Median Absolute Deviation (MAD)29847
Skewness0.022413888
Sum6.4368978 × 108
Variance1.1528291 × 109
MonotonicityNot monotonic
2023-12-11T15:18:44.324320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20131231 2
 
6.2%
20070119 1
 
3.1%
20080319 1
 
3.1%
20160607 1
 
3.1%
20120425 1
 
3.1%
20171121 1
 
3.1%
20140221 1
 
3.1%
20090526 1
 
3.1%
20070212 1
 
3.1%
20140613 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
20070119 1
3.1%
20070131 1
3.1%
20070206 1
3.1%
20070212 1
3.1%
20070216 1
3.1%
20070328 1
3.1%
20071217 1
3.1%
20080319 1
3.1%
20081023 1
3.1%
20090526 1
3.1%
ValueCountFrequency (%)
20180118 1
3.1%
20171121 1
3.1%
20160607 1
3.1%
20150612 1
3.1%
20150520 1
3.1%
20150403 1
3.1%
20150116 1
3.1%
20141111 1
3.1%
20140613 1
3.1%
20140221 1
3.1%

영업상태명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 32
100.0%

Length

2023-12-11T15:18:44.465333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:18:44.559830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 32
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
20090416
 
1

Length

Max length8
Median length4
Mean length4.125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row20090416
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
20090416 1
 
3.1%

Length

2023-12-11T15:18:44.664188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:18:44.782444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
20090416 1
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

여성복지시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
208
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row208
2nd row208
3rd row208
4th row208
5th row208

Common Values

ValueCountFrequency (%)
208 32
100.0%

Length

2023-12-11T15:18:44.886653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:18:45.008067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
208 32
100.0%

여성복지시설종류명
Categorical

CONSTANT 

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

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정폭력상담원교육훈련시설 32
100.0%

Length

2023-12-11T15:18:45.196160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:18:45.339754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정폭력상담원교육훈련시설 32
100.0%

설치일자
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115302
Minimum20070119
Maximum20180118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T15:18:45.485149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070119
5-th percentile20070129
Q120080847
median20120474
Q320140738
95-th percentile20165338
Maximum20180118
Range109999
Interquartile range (IQR)59890.5

Descriptive statistics

Standard deviation33957.068
Coefficient of variation (CV)0.0016881212
Kurtosis-1.2071944
Mean20115302
Median Absolute Deviation (MAD)29847
Skewness0.022262822
Sum6.4368966 × 108
Variance1.1530824 × 109
MonotonicityNot monotonic
2023-12-11T15:18:45.648827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20131231 2
 
6.2%
20070119 1
 
3.1%
20080319 1
 
3.1%
20160607 1
 
3.1%
20120425 1
 
3.1%
20171121 1
 
3.1%
20140221 1
 
3.1%
20090526 1
 
3.1%
20070212 1
 
3.1%
20140613 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
20070119 1
3.1%
20070126 1
3.1%
20070131 1
3.1%
20070206 1
3.1%
20070212 1
3.1%
20070328 1
3.1%
20071217 1
3.1%
20080319 1
3.1%
20081023 1
3.1%
20090526 1
3.1%
ValueCountFrequency (%)
20180118 1
3.1%
20171121 1
3.1%
20160607 1
3.1%
20150612 1
3.1%
20150520 1
3.1%
20150403 1
3.1%
20150109 1
3.1%
20141111 1
3.1%
20140613 1
3.1%
20140221 1
3.1%

전화번호
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing7
Missing (%)21.9%
Memory size388.0 B
2023-12-11T15:18:45.902838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.2
Min length7

Characters and Unicode

Total characters230
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

Unique23 ?
Unique (%)92.0%

Sample

1st row02 22321564
2nd row0222336020
3rd row0226591318
4th row8250675
5th row3001805
ValueCountFrequency (%)
0226017422 2
 
7.4%
02 2
 
7.4%
023802561 1
 
3.7%
22321564 1
 
3.7%
027472944 1
 
3.7%
024572696 1
 
3.7%
028033333 1
 
3.7%
5407142 1
 
3.7%
9445255 1
 
3.7%
07041333060 1
 
3.7%
Other values (15) 15
55.6%
2023-12-11T15:18:46.325133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 45
19.6%
0 40
17.4%
3 25
10.9%
5 25
10.9%
6 21
9.1%
4 20
8.7%
8 16
 
7.0%
1 14
 
6.1%
7 12
 
5.2%
9 9
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 227
98.7%
Space Separator 3
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 45
19.8%
0 40
17.6%
3 25
11.0%
5 25
11.0%
6 21
9.3%
4 20
8.8%
8 16
 
7.0%
1 14
 
6.2%
7 12
 
5.3%
9 9
 
4.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 45
19.6%
0 40
17.4%
3 25
10.9%
5 25
10.9%
6 21
9.1%
4 20
8.7%
8 16
 
7.0%
1 14
 
6.1%
7 12
 
5.2%
9 9
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 45
19.6%
0 40
17.4%
3 25
10.9%
5 25
10.9%
6 21
9.1%
4 20
8.7%
8 16
 
7.0%
1 14
 
6.1%
7 12
 
5.2%
9 9
 
3.9%

위치정보(X)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean196092.52
Minimum185842.75
Maximum211314.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T15:18:46.509864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185842.75
5-th percentile185848.38
Q1191878.3
median194534.51
Q3201324.11
95-th percentile205352.54
Maximum211314.46
Range25471.712
Interquartile range (IQR)9445.8071

Descriptive statistics

Standard deviation6478.8854
Coefficient of variation (CV)0.033039942
Kurtosis-0.48135986
Mean196092.52
Median Absolute Deviation (MAD)5295.6629
Skewness0.27244733
Sum6078868
Variance41975956
MonotonicityNot monotonic
2023-12-11T15:18:46.684237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
185842.752029 2
 
6.2%
200927.737695 1
 
3.1%
199926.907538 1
 
3.1%
199598.630525 1
 
3.1%
207175.64304 1
 
3.1%
190847.727794 1
 
3.1%
190361.218285 1
 
3.1%
203529.427556 1
 
3.1%
192397.311011 1
 
3.1%
185854.007594 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
185842.752029 2
6.2%
185854.007594 1
3.1%
187364.401708 1
3.1%
190361.218285 1
3.1%
190847.727794 1
3.1%
190945.309453 1
3.1%
191437.690517 1
3.1%
192318.908292 1
3.1%
192397.311011 1
3.1%
192592.114134 1
3.1%
ValueCountFrequency (%)
211314.464442 1
3.1%
207175.64304 1
3.1%
203529.427556 1
3.1%
202624.986329 1
3.1%
202497.633879 1
3.1%
202163.243367 1
3.1%
201759.579997 1
3.1%
201720.475375 1
3.1%
200927.737695 1
3.1%
200780.039463 1
3.1%

위치정보(Y)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean449289.67
Minimum441226.36
Maximum460076.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T15:18:46.837205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441226.36
5-th percentile442292.67
Q1444942.83
median448748.97
Q3452700.12
95-th percentile458011.51
Maximum460076.5
Range18850.137
Interquartile range (IQR)7757.2948

Descriptive statistics

Standard deviation5327.5928
Coefficient of variation (CV)0.011857813
Kurtosis-0.8450813
Mean449289.67
Median Absolute Deviation (MAD)3849.0595
Skewness0.36919097
Sum13927980
Variance28383246
MonotonicityNot monotonic
2023-12-11T15:18:46.983861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
450966.070823 2
 
6.2%
450907.462237 1
 
3.1%
442071.028916 1
 
3.1%
443231.084937 1
 
3.1%
449503.0678 1
 
3.1%
442665.601875 1
 
3.1%
446708.32905 1
 
3.1%
460076.496377 1
 
3.1%
446520.852761 1
 
3.1%
448748.967174 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
441226.35904 1
3.1%
442071.028916 1
3.1%
442514.313626 1
3.1%
442665.601875 1
3.1%
443231.084937 1
3.1%
443602.444587 1
3.1%
444305.787911 1
3.1%
444899.907697 1
3.1%
444985.744264 1
3.1%
446058.705517 1
3.1%
ValueCountFrequency (%)
460076.496377 1
3.1%
458883.471152 1
3.1%
457139.551422 1
3.1%
456974.996083 1
3.1%
456373.042829 1
3.1%
455738.920486 1
3.1%
453106.002592 1
3.1%
452841.867991 1
3.1%
452558.373475 1
3.1%
451308.871997 1
3.1%

인허가번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1256252 × 1015
Minimum3.0000002 × 1015
Maximum3.2300002 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T15:18:47.151757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000002 × 1015
5-th percentile3.0055002 × 1015
Q13.0800002 × 1015
median3.1400002 × 1015
Q33.1800002 × 1015
95-th percentile3.2100002 × 1015
Maximum3.2300002 × 1015
Range2.3 × 1014
Interquartile range (IQR)1 × 1014

Descriptive statistics

Standard deviation6.9743193 × 1013
Coefficient of variation (CV)0.022313358
Kurtosis-0.87203697
Mean3.1256252 × 1015
Median Absolute Deviation (MAD)5 × 1013
Skewness-0.51487669
Sum1.0002001 × 1017
Variance4.8641129 × 1027
MonotonicityNot monotonic
2023-12-11T15:18:47.348629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3010000199900007 1
 
3.1%
3000000200800050 1
 
3.1%
3210000201600002 1
 
3.1%
3040000201200004 1
 
3.1%
3160000201700001 1
 
3.1%
3140000201600004 1
 
3.1%
3150000201400001 1
 
3.1%
3090000200900009 1
 
3.1%
3080000200700003 1
 
3.1%
3180000201600001 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
3000000200800050 1
3.1%
3000000201300005 1
3.1%
3010000199900007 1
3.1%
3010000200800003 1
3.1%
3010000201300011 1
3.1%
3040000201200004 1
3.1%
3080000200700003 1
3.1%
3080000201500004 1
3.1%
3080000201500006 1
3.1%
3080000201500015 1
3.1%
ValueCountFrequency (%)
3230000201500008 1
3.1%
3210000201800001 1
3.1%
3210000201600002 1
3.1%
3210000201400020 1
3.1%
3200000201000026 1
3.1%
3190000201100005 1
3.1%
3180000201600001 1
3.1%
3180000201100009 1
3.1%
3180000201000043 1
3.1%
3180000200800086 1
3.1%

상세영업상태명
Categorical

HIGH CORRELATION  IMBALANCE 

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

Length

Max length4
Median length2
Mean length2.125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-11T15:18:47.537996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:18:47.681052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 30
93.8%
na 2
 
6.2%

Interactions

2023-12-11T15:18:39.966394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:36.627660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.276062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.873501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.541590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:39.213231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:40.083524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:36.718723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.384619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.966229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.658271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:39.342661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:40.198720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:36.818605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.487102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.055005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.749159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:39.473922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:40.304363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:36.938212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.590086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.182356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.852294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:39.610833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:40.414485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.027595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.674390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.312115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.960073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:39.714834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:40.564421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.157791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:37.784688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:38.435858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:39.074263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:18:39.834178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T15:18:47.776649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장명소재지전체주소도로명전체주소인허가일자설치일자전화번호위치정보(X)위치정보(Y)인허가번호
번호1.0000.9371.0001.0000.0000.0000.9430.3480.6620.694
사업장명0.9371.0001.0001.0000.9880.9881.0001.0000.9520.950
소재지전체주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명전체주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인허가일자0.0000.9881.0001.0001.0001.0001.0000.2580.8340.366
설치일자0.0000.9881.0001.0001.0001.0001.0000.2580.8340.366
전화번호0.9431.0001.0001.0001.0001.0001.0001.0001.0001.000
위치정보(X)0.3481.0001.0001.0000.2580.2581.0001.0000.6760.957
위치정보(Y)0.6620.9521.0001.0000.8340.8341.0000.6761.0000.839
인허가번호0.6940.9501.0001.0000.3660.3661.0000.9570.8391.000
2023-12-11T15:18:47.959965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세영업상태명재개업일자
상세영업상태명1.000NaN
재개업일자NaN1.000
2023-12-11T15:18:48.120154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호인허가일자설치일자위치정보(X)위치정보(Y)인허가번호재개업일자상세영업상태명
번호1.0000.2890.301-0.265-0.0610.038NaN1.000
인허가일자0.2891.0000.9970.110-0.2810.351NaN1.000
설치일자0.3010.9971.0000.112-0.2790.345NaN1.000
위치정보(X)-0.2650.1100.1121.0000.318-0.278NaN1.000
위치정보(Y)-0.061-0.281-0.2790.3181.000-0.796NaN1.000
인허가번호0.0380.3510.345-0.278-0.7961.000NaN1.000
재개업일자NaNNaNNaNNaNNaNNaN1.000NaN
상세영업상태명1.0001.0001.0001.0001.0001.000NaN1.000

Missing values

2023-12-11T15:18:40.739479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T15:18:41.043650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T15:18:41.441054image/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

번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호여성복지시설종류여성복지시설종류명설치일자전화번호위치정보(X)위치정보(Y)인허가번호상세영업상태명
01한국가정법률상담소 중구지부 가정폭력상담원 교육원서울특별시 중구 신당동 402-9번지<NA>20070119운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설2007011902 22321564200927.737695450907.4622373010000199900007<NA>
12서울가정폭력상담교육원서울특별시 중구 신당동 144-32번지 3층<NA>20080319운영중<NA><NA><NA>20090416<NA><NA>208가정폭력상담원교육훈련시설200803190222336020201720.475375451308.8719973010000200800003영업
23(재)한국여성인권진흥원서울특별시 중구 중림동서울특별시 중구 서소문로 50 (중림동)20131001운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20131001<NA>197086.934451265.6517913010000201300011영업
34(사)월드유스비전 부설 성폭력상담 교육원서울특별시 송파구 오금동 48-12번지 서일빌딩 2층서울특별시 송파구 중대로25길 10-1, 2층 (오금동)20150520운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설201505200226591318211314.464442444899.9076973230000201500008영업
45사단법인 행복한가정문화원서울특별시 동작구 상도동 171-1번지 서현빌딩 4층서울특별시 동작구 장승배기로10길 49 (상도동)20110413운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설201104138250675194837.986351444985.7442643190000201100005영업
56명지대학교 사회교육원서울특별시 서대문구 남가좌동 50-3번지 명지대학교<NA>20070328운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설200703283001805193139.523944453106.0025923120000201000033영업
67서울사회복지대학원대학교 평생교육원서울특별시 영등포구 영등포동4가 134-2번지서울특별시 영등포구 영신로34길 18 (영등포동4가)20070216운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20070126028355551191437.690517446678.9467123180000200800077영업
78한국가정법률상담소 부설 교육원서울특별시 영등포구 여의도동 13-17번지서울특별시 영등포구 국회대로74길 10 (여의도동)20070131운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20070131<NA>193002.563526447869.7192323180000200800086영업
89(사)휴먼서비스복지회가정폭력상담교육원서울특별시 영등포구 신길동 4300-33번지서울특별시 영등포구 여의대방로13길 14 (신길동)20101229운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설201012270260834971192592.114134444305.7879113180000201000043영업
910서울국제직업전문학교서울특별시 영등포구 신길동 65-80번지서울특별시 영등포구 영등포로 381 (신길동)20110425운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20110406028343366192989.238981446058.7055173180000201100009영업
번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호여성복지시설종류여성복지시설종류명설치일자전화번호위치정보(X)위치정보(Y)인허가번호상세영업상태명
2223이레상담교육원서울특별시 관악구 신림동 1587-29번지 6층서울특별시 관악구 관천로 25 (신림동,6층)20101028운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20101027028661366193624.12215442514.3136263200000201000026영업
2324서울강서양천여성의전화 가정폭력관련 상담원 교육훈련시설서울특별시 강서구 화곡동 1075-25번지 인폼빌딩<NA>20070206운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설200702060226058455185854.007594448748.9671743150000201800001영업
2425(사)한국청소년폭력방지협회부설 가정폭력상담교육원서울특별시 영등포구 영등포동1가 79-1번지서울특별시 영등포구 경인로114가길 4, A동 201호 (영등포동1가)20140613운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설2014061307041333060192397.311011446520.8527613180000201600001영업
2526서울사이버대학교 평생교육원서울특별시 강북구 미아동 193번지 서울사이버대학교<NA>20070212운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설2007021202 9445255<NA><NA>3080000200700003<NA>
2627서로사랑가정폭력관련상담원교육훈련시설서울특별시 도봉구 창동 568-3번지 4층서울특별시 도봉구 덕릉로 258 (창동, 568-3번지 4층)20090526운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설200905265407142203529.427556460076.4963773090000200900009영업
2728다세움가정폭력상담교육원서울특별시 강서구 내발산동 646-1번지 순봉빌딩 303호서울특별시 강서구 공항대로 290 (내발산동, 순봉빌딩)20131231운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설201312310226017422185842.752029450966.0708233150000201400001영업
2829희망누리평생교육원서울특별시 영등포구 문래동3가 82-8번지 601호서울특별시 영등포구 문래로 79-4, 601호 (문래동3가, 태양프라자)20140221운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20140221<NA>190361.218285446708.329053140000201600004영업
2930서울산업정보교육원서울특별시 구로구 구로동 222-7번지 코오롱디지털타워빌란트서울특별시 구로구 디지털로32길 30, 511.512호 (구로동)20171121운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20171121028033333190847.727794442665.6018753160000201700001영업
3031미래지식교육원서울특별시 광진구 화양동 1번지 건국대학교 미래지식교육원서울특별시 광진구 능동로 120 (화양동) 건국대학교 미래지식교육원20120425운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20120425024572696207175.64304449503.06783040000201200004영업
3132가정폭력 상담 교육센터서울특별시 서초구 방배동 877-15번지서울특별시 서초구 서초대로 121 (방배동, 원우빌딩)20160607운영중<NA><NA><NA><NA><NA><NA>208가정폭력상담원교육훈련시설20160607025992400199598.630525443231.0849373210000201600002영업