Overview

Dataset statistics

Number of variables19
Number of observations37
Missing cells267
Missing cells (%)38.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory167.6 B

Variable types

Numeric5
Text3
Categorical4
Unsupported7

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15297/F/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 상세영업상태명High 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 4 other fieldsHigh correlation
도로명전체주소 has 16 (43.2%) missing valuesMissing
인허가일자 has 3 (8.1%) missing valuesMissing
폐업일자 has 37 (100.0%) missing valuesMissing
휴업시작일자 has 37 (100.0%) missing valuesMissing
휴업종료일자 has 37 (100.0%) missing valuesMissing
재개업일자 has 37 (100.0%) missing valuesMissing
소재지면적 has 37 (100.0%) missing valuesMissing
소재지우편번호 has 37 (100.0%) missing valuesMissing
전화번호 has 2 (5.4%) missing valuesMissing
위치정보(X) has 9 (24.3%) missing valuesMissing
위치정보(Y) has 9 (24.3%) missing valuesMissing
인허가번호 has 6 (16.2%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
소재지전체주소 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
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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 04:31:51.428512
Analysis finished2023-12-11 04:31:56.123608
Duration4.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T13:31:56.206985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-11T13:31:56.393181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

사업장명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T13:31:56.666192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length12.459459
Min length7

Characters and Unicode

Total characters461
Distinct characters91
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

Unique37 ?
Unique (%)100.0%

Sample

1st row은평가정폭력상담소
2nd row(사)한국여성의전화 가정폭력상담소
3rd row잠실가정폭력상담소
4th row월계우리가족상담소
5th row동산가정폭력상담소
ValueCountFrequency (%)
부설 5
 
8.8%
가정폭력상담소 4
 
7.0%
사)남성의전화 2
 
3.5%
서울가정폭력상담센터 2
 
3.5%
은평가정폭력상담소 1
 
1.8%
여성상담소 1
 
1.8%
한국여성상담센터 1
 
1.8%
용산가정폭력관련상담소 1
 
1.8%
사)다문화종합복지센터 1
 
1.8%
다사랑가정상담소 1
 
1.8%
Other values (38) 38
66.7%
2023-12-11T13:31:57.188583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 39
 
8.5%
담 39
 
8.5%
가 36
 
7.8%
정 30
 
6.5%
소 28
 
6.1%
폭 24
 
5.2%
력 24
 
5.2%
20
 
4.3%
터 13
 
2.8%
센 12
 
2.6%
Other values (81) 196
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 430
93.3%
Space Separator 20
 
4.3%
Close Punctuation 6
 
1.3%
Open Punctuation 5
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 39
 
9.1%
담 39
 
9.1%
가 36
 
8.4%
정 30
 
7.0%
소 28
 
6.5%
폭 24
 
5.6%
력 24
 
5.6%
터 13
 
3.0%
센 12
 
2.8%
성 10
 
2.3%
Other values (78) 175
40.7%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 430
93.3%
Common 31
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 39
 
9.1%
담 39
 
9.1%
가 36
 
8.4%
정 30
 
7.0%
소 28
 
6.5%
폭 24
 
5.6%
력 24
 
5.6%
터 13
 
3.0%
센 12
 
2.8%
성 10
 
2.3%
Other values (78) 175
40.7%
Common
ValueCountFrequency (%)
20
64.5%
) 6
 
19.4%
( 5
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 430
93.3%
ASCII 31
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 39
 
9.1%
담 39
 
9.1%
가 36
 
8.4%
정 30
 
7.0%
소 28
 
6.5%
폭 24
 
5.6%
력 24
 
5.6%
터 13
 
3.0%
센 12
 
2.8%
성 10
 
2.3%
Other values (78) 175
40.7%
ASCII
ValueCountFrequency (%)
20
64.5%
) 6
 
19.4%
( 5
 
16.1%

소재지전체주소
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T13:31:57.514577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length28
Mean length23.72973
Min length14

Characters and Unicode

Total characters878
Distinct characters114
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 수색동 8-15번지
2nd row서울특별시 은평구 녹번동 1-15번지
3rd row서울특별시 송파구 잠실동 188-1번지
4th row서울특별시 노원구 월계동 556번지 월계종합사회복지관 내 2층
5th row서울특별시 서초구 방배동 877-18번지 3층
ValueCountFrequency (%)
서울특별시 37
 
22.7%
양천구 4
 
2.5%
마포구 3
 
1.8%
강서구 3
 
1.8%
광진구 3
 
1.8%
종로구 2
 
1.2%
용산구 2
 
1.2%
송파구 2
 
1.2%
동대문구 2
 
1.2%
신정동 2
 
1.2%
Other values (98) 103
63.2%
2023-12-11T13:31:58.067031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
17.5%
서 45
 
5.1%
구 39
 
4.4%
동 38
 
4.3%
시 37
 
4.2%
별 37
 
4.2%
울 37
 
4.2%
특 37
 
4.2%
1 35
 
4.0%
지 29
 
3.3%
Other values (104) 390
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
60.0%
Decimal Number 169
 
19.2%
Space Separator 154
 
17.5%
Dash Punctuation 27
 
3.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 45
 
8.5%
구 39
 
7.4%
동 38
 
7.2%
시 37
 
7.0%
별 37
 
7.0%
울 37
 
7.0%
특 37
 
7.0%
지 29
 
5.5%
번 29
 
5.5%
강 7
 
1.3%
Other values (91) 192
36.4%
Decimal Number
ValueCountFrequency (%)
1 35
20.7%
3 23
13.6%
2 22
13.0%
5 20
11.8%
8 16
9.5%
0 15
8.9%
9 13
 
7.7%
4 11
 
6.5%
7 8
 
4.7%
6 6
 
3.6%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
60.0%
Common 351
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 45
 
8.5%
구 39
 
7.4%
동 38
 
7.2%
시 37
 
7.0%
별 37
 
7.0%
울 37
 
7.0%
특 37
 
7.0%
지 29
 
5.5%
번 29
 
5.5%
강 7
 
1.3%
Other values (91) 192
36.4%
Common
ValueCountFrequency (%)
154
43.9%
1 35
 
10.0%
- 27
 
7.7%
3 23
 
6.6%
2 22
 
6.3%
5 20
 
5.7%
8 16
 
4.6%
0 15
 
4.3%
9 13
 
3.7%
4 11
 
3.1%
Other values (3) 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
60.0%
ASCII 351
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
43.9%
1 35
 
10.0%
- 27
 
7.7%
3 23
 
6.6%
2 22
 
6.3%
5 20
 
5.7%
8 16
 
4.6%
0 15
 
4.3%
9 13
 
3.7%
4 11
 
3.1%
Other values (3) 15
 
4.3%
Hangul
ValueCountFrequency (%)
서 45
 
8.5%
구 39
 
7.4%
동 38
 
7.2%
시 37
 
7.0%
별 37
 
7.0%
울 37
 
7.0%
특 37
 
7.0%
지 29
 
5.5%
번 29
 
5.5%
강 7
 
1.3%
Other values (91) 192
36.4%

도로명전체주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing16
Missing (%)43.2%
Memory size428.0 B
2023-12-11T13:31:58.366101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length28.380952
Min length23

Characters and Unicode

Total characters596
Distinct characters110
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 은평터널로 48 (수색동)
2nd row서울특별시 송파구 올림픽로12길 12 (잠실동)
3rd row서울특별시 노원구 초안산로1길 51 (월계동)
4th row서울특별시 서초구 서초대로27길 10-10 (방배동,3층)
5th row서울특별시 서초구 서초중앙로22길 92-13 (서초동, 화니빌딩)
ValueCountFrequency (%)
서울특별시 21
 
18.4%
광진구 3
 
2.6%
양천구 3
 
2.6%
신정동 2
 
1.8%
마포구 2
 
1.8%
종로구 2
 
1.8%
서초구 2
 
1.8%
319 1
 
0.9%
오목로 1
 
0.9%
북아현동 1
 
0.9%
Other values (76) 76
66.7%
2023-12-11T13:31:58.913991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
16.4%
서 27
 
4.5%
동 26
 
4.4%
1 26
 
4.4%
로 24
 
4.0%
( 21
 
3.5%
특 21
 
3.5%
별 21
 
3.5%
시 21
 
3.5%
울 21
 
3.5%
Other values (100) 290
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
58.4%
Space Separator 98
 
16.4%
Decimal Number 90
 
15.1%
Open Punctuation 21
 
3.5%
Close Punctuation 21
 
3.5%
Other Punctuation 9
 
1.5%
Dash Punctuation 9
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 27
 
7.8%
동 26
 
7.5%
로 24
 
6.9%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
울 21
 
6.0%
구 21
 
6.0%
길 10
 
2.9%
대 6
 
1.7%
Other values (85) 150
43.1%
Decimal Number
ValueCountFrequency (%)
1 26
28.9%
2 15
16.7%
3 9
 
10.0%
4 8
 
8.9%
7 7
 
7.8%
0 6
 
6.7%
8 5
 
5.6%
9 5
 
5.6%
5 5
 
5.6%
6 4
 
4.4%
Space Separator
ValueCountFrequency (%)
98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
58.4%
Common 248
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 27
 
7.8%
동 26
 
7.5%
로 24
 
6.9%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
울 21
 
6.0%
구 21
 
6.0%
길 10
 
2.9%
대 6
 
1.7%
Other values (85) 150
43.1%
Common
ValueCountFrequency (%)
98
39.5%
1 26
 
10.5%
( 21
 
8.5%
) 21
 
8.5%
2 15
 
6.0%
, 9
 
3.6%
3 9
 
3.6%
- 9
 
3.6%
4 8
 
3.2%
7 7
 
2.8%
Other values (5) 25
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
58.4%
ASCII 248
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
39.5%
1 26
 
10.5%
( 21
 
8.5%
) 21
 
8.5%
2 15
 
6.0%
, 9
 
3.6%
3 9
 
3.6%
- 9
 
3.6%
4 8
 
3.2%
7 7
 
2.8%
Other values (5) 25
 
10.1%
Hangul
ValueCountFrequency (%)
서 27
 
7.8%
동 26
 
7.5%
로 24
 
6.9%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
울 21
 
6.0%
구 21
 
6.0%
길 10
 
2.9%
대 6
 
1.7%
Other values (85) 150
43.1%

인허가일자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct32
Distinct (%)94.1%
Missing3
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean20061538
Minimum19981217
Maximum20170928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T13:31:59.117898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981217
5-th percentile19990388
Q120003430
median20050816
Q320108616
95-th percentile20160653
Maximum20170928
Range189711
Interquartile range (IQR)105186.5

Descriptive statistics

Standard deviation58782.294
Coefficient of variation (CV)0.0029300991
Kurtosis-1.0064968
Mean20061538
Median Absolute Deviation (MAD)50398
Skewness0.40761241
Sum6.8209228 × 108
Variance3.4553581 × 109
MonotonicityNot monotonic
2023-12-11T13:31:59.293129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20000306 2
 
5.4%
19990528 2
 
5.4%
20101102 1
 
2.7%
19981217 1
 
2.7%
20011016 1
 
2.7%
20140324 1
 
2.7%
19990602 1
 
2.7%
20071217 1
 
2.7%
20060602 1
 
2.7%
20150116 1
 
2.7%
Other values (22) 22
59.5%
(Missing) 3
 
8.1%
ValueCountFrequency (%)
19981217 1
2.7%
19990129 1
2.7%
19990528 2
5.4%
19990602 1
2.7%
19991014 1
2.7%
20000306 2
5.4%
20000901 1
2.7%
20011016 1
2.7%
20030515 1
2.7%
20030923 1
2.7%
ValueCountFrequency (%)
20170928 1
2.7%
20161109 1
2.7%
20160407 1
2.7%
20150122 1
2.7%
20150116 1
2.7%
20140324 1
2.7%
20120925 1
2.7%
20120326 1
2.7%
20111121 1
2.7%
20101102 1
2.7%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
운영중
37 

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 37
100.0%

Length

2023-12-11T13:31:59.472760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:31:59.627534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 37
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

여성복지시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
201
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201
2nd row201
3rd row201
4th row201
5th row201

Common Values

ValueCountFrequency (%)
201 37
100.0%

Length

2023-12-11T13:31:59.789501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:31:59.931079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201 37
100.0%

여성복지시설종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
가정폭력상담소
37 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정폭력상담소 37
100.0%

Length

2023-12-11T13:32:00.091666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:32:00.231195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정폭력상담소 37
100.0%

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)5.4%
Memory size428.0 B

위치정보(X)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct28
Distinct (%)100.0%
Missing9
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean197130.15
Minimum185854.01
Maximum207415.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T13:32:00.395118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185854.01
5-th percentile187048.88
Q1192221.04
median196560.2
Q3202563.83
95-th percentile207244.22
Maximum207415.95
Range21561.94
Interquartile range (IQR)10342.785

Descriptive statistics

Standard deviation6663.9216
Coefficient of variation (CV)0.03380468
Kurtosis-1.111467
Mean197130.15
Median Absolute Deviation (MAD)5571.5846
Skewness0.008513415
Sum5519644.2
Variance44407852
MonotonicityNot monotonic
2023-12-11T13:32:00.577047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
189019.231608 1
 
2.7%
193210.7147 1
 
2.7%
194793.003878 1
 
2.7%
196067.890799 1
 
2.7%
207415.947476 1
 
2.7%
207106.057203 1
 
2.7%
192592.114134 1
 
2.7%
187364.401708 1
 
2.7%
195574.043201 1
 
2.7%
197327.468114 1
 
2.7%
Other values (18) 18
48.6%
(Missing) 9
24.3%
ValueCountFrequency (%)
185854.007594 1
2.7%
186878.985312 1
2.7%
187364.401708 1
2.7%
188953.066831 1
2.7%
189019.231608 1
2.7%
190869.401916 1
2.7%
191107.825116 1
2.7%
192592.114134 1
2.7%
193210.7147 1
2.7%
194534.510398 1
2.7%
ValueCountFrequency (%)
207415.947476 1
2.7%
207318.615963 1
2.7%
207106.057203 1
2.7%
206077.584569 1
2.7%
204663.995416 1
2.7%
204563.041094 1
2.7%
202670.0 1
2.7%
202528.436034 1
2.7%
201877.654118 1
2.7%
201721.377823 1
2.7%

위치정보(Y)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct28
Distinct (%)100.0%
Missing9
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean449835.39
Minimum440919.94
Maximum458628.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T13:32:00.762156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440919.94
5-th percentile443443.42
Q1447246.02
median449676.42
Q3453541.73
95-th percentile457184.49
Maximum458628.94
Range17708.996
Interquartile range (IQR)6295.706

Descriptive statistics

Standard deviation4541.5335
Coefficient of variation (CV)0.01009599
Kurtosis-0.59690748
Mean449835.39
Median Absolute Deviation (MAD)3396.5202
Skewness0.042568927
Sum12595391
Variance20625527
MonotonicityNot monotonic
2023-12-11T13:32:00.918558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
447638.799733 1
 
2.7%
449702.711624 1
 
2.7%
449650.12334 1
 
2.7%
443802.286298 1
 
2.7%
448290.585049 1
 
2.7%
451799.062814 1
 
2.7%
444305.787911 1
 
2.7%
447282.144604 1
 
2.7%
450864.517338 1
 
2.7%
449846.118488 1
 
2.7%
Other values (18) 18
48.6%
(Missing) 9
24.3%
ValueCountFrequency (%)
440919.941586 1
2.7%
443250.191596 1
2.7%
443802.286298 1
2.7%
443808.454548 1
2.7%
444305.787911 1
2.7%
445679.68356 1
2.7%
447137.650021 1
2.7%
447282.144604 1
2.7%
447333.569188 1
2.7%
447638.799733 1
2.7%
ValueCountFrequency (%)
458628.937448 1
2.7%
457621.423953 1
2.7%
456373.042829 1
2.7%
454924.055495 1
2.7%
453953.283303 1
2.7%
453948.686921 1
2.7%
453668.259 1
2.7%
453499.549616 1
2.7%
452646.325815 1
2.7%
451799.062814 1
2.7%

인허가번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)100.0%
Missing6
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean3.1067744 × 1015
Minimum3.0000002 × 1015
Maximum3.2300002 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T13:32:01.103560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000002 × 1015
5-th percentile3.0100002 × 1015
Q13.0450002 × 1015
median3.1200002 × 1015
Q33.1400002 × 1015
95-th percentile3.2100002 × 1015
Maximum3.2300002 × 1015
Range2.3 × 1014
Interquartile range (IQR)9.5000001 × 1013

Descriptive statistics

Standard deviation6.5237366 × 1013
Coefficient of variation (CV)0.020998424
Kurtosis-0.96059818
Mean3.1067744 × 1015
Median Absolute Deviation (MAD)5.0000001 × 1013
Skewness0.0095776299
Sum9.6310006 × 1016
Variance4.255914 × 1027
MonotonicityNot monotonic
2023-12-11T13:32:01.282153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3110000200900045 1
 
2.7%
3130000200700015 1
 
2.7%
3130000200500060 1
 
2.7%
3130000200500059 1
 
2.7%
3190000201700001 1
 
2.7%
3040000201200003 1
 
2.7%
3040000200800003 1
 
2.7%
3180000201000039 1
 
2.7%
3140000201600003 1
 
2.7%
3120000201000029 1
 
2.7%
Other values (21) 21
56.8%
(Missing) 6
 
16.2%
ValueCountFrequency (%)
3000000200900013 1
2.7%
3000000200900017 1
2.7%
3020000200100011 1
2.7%
3020000201400001 1
2.7%
3030000201500001 1
2.7%
3040000200800003 1
2.7%
3040000201200003 1
2.7%
3040000201600001 1
2.7%
3050000200400035 1
2.7%
3050000200700029 1
2.7%
ValueCountFrequency (%)
3230000200900016 1
2.7%
3210000200700025 1
2.7%
3210000200700024 1
2.7%
3190000201700001 1
2.7%
3180000201000039 1
2.7%
3170000201500001 1
2.7%
3150000199900003 1
2.7%
3140000201600003 1
2.7%
3140000201500006 1
2.7%
3140000201200014 1
2.7%

상세영업상태명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
영업
32 
<NA>
5 

Length

Max length4
Median length2
Mean length2.2702703
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 32
86.5%
<NA> 5
 
13.5%

Length

2023-12-11T13:32:01.810023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:32:01.944592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 32
86.5%
na 5
 
13.5%

Interactions

2023-12-11T13:31:54.696579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:51.993789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:52.670766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.574548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:54.091300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:54.807700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:52.134663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.087194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.669245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:54.210601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:54.948822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:52.273766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.211568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.784934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:54.341774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:55.069321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:52.406941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.326668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.886771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:54.448118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:55.207655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:52.541924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.441131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:53.997964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:31:54.568831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:32:02.029032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장명소재지전체주소도로명전체주소인허가일자위치정보(X)위치정보(Y)인허가번호
번호1.0001.0001.0001.0000.5750.5560.5960.780
사업장명1.0001.0001.0001.0001.0001.0001.0001.000
소재지전체주소1.0001.0001.0001.0001.0001.0001.0001.000
도로명전체주소1.0001.0001.0001.0001.0001.0001.0001.000
인허가일자0.5751.0001.0001.0001.0000.0000.6760.000
위치정보(X)0.5561.0001.0001.0000.0001.0000.0000.833
위치정보(Y)0.5961.0001.0001.0000.6760.0001.0000.668
인허가번호0.7801.0001.0001.0000.0000.8330.6681.000
2023-12-11T13:32:02.190762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호인허가일자위치정보(X)위치정보(Y)인허가번호상세영업상태명
번호1.0000.028-0.153-0.273-0.0671.000
인허가일자0.0281.0000.009-0.1580.0111.000
위치정보(X)-0.1530.0091.0000.340-0.3911.000
위치정보(Y)-0.273-0.1580.3401.000-0.7191.000
인허가번호-0.0670.011-0.391-0.7191.0001.000
상세영업상태명1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T13:31:55.397981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:31:55.741651image/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.
2023-12-11T13:31:55.974106image/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

번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호여성복지시설종류여성복지시설종류명전화번호위치정보(X)위치정보(Y)인허가번호상세영업상태명
01은평가정폭력상담소서울특별시 은평구 수색동 8-15번지서울특별시 은평구 은평터널로 48 (수색동)20000901운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소02326 1366191107.825116453948.6869213110000200000028<NA>
12(사)한국여성의전화 가정폭력상담소서울특별시 은평구 녹번동 1-15번지<NA>20090709운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소0231565400194534.510398456373.0428293110000200900045영업
23잠실가정폭력상담소서울특별시 송파구 잠실동 188-1번지서울특별시 송파구 올림픽로12길 12 (잠실동)20000306운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소NaN207318.615963445679.683563230000200900016영업
34월계우리가족상담소서울특별시 노원구 월계동 556번지 월계종합사회복지관 내 2층서울특별시 노원구 초안산로1길 51 (월계동)20061027운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소029040179204663.995416458628.9374483100000200700048영업
45동산가정폭력상담소서울특별시 서초구 방배동 877-18번지 3층서울특별시 서초구 서초대로27길 10-10 (방배동,3층)20030515운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소025997646199591.277325443250.1915963210000200700024영업
56서초가족상담센터서울특별시 서초구 서초동 1640-25번지서울특별시 서초구 서초중앙로22길 92-13 (서초동, 화니빌딩)20050922운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소025822710201721.377823443808.4545483210000200700025영업
67서울 성동 가정상담센터서울특별시 성동구 도선동 343-8번지서울특별시 성동구 무학로2길 7, 301호 (도선동)20150122운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소0222972911202670.0451356.03030000201500001영업
78사)남성의전화 부설 서울가정폭력상담센터서울특별시 중랑구 면목동 85길 12-24<NA>20030923운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소022094-1765188953.066831447333.5691883140000201500006영업
89해윰가족상담소서울특별시 강북구 미아동 134-97번지<NA>20161109운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소07081161366202528.436034457621.4239533080000201600001영업
910동대문 행복한 심리상담센터서울특별시 동대문구 휘경동 49-382번지서울특별시 동대문구 한천로 244-5 (휘경동)20040116운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소0222487702206077.584569453668.2593050000200400035<NA>
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