Overview

Dataset statistics

Number of variables19
Number of observations33
Missing cells218
Missing cells (%)34.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory168.0 B

Variable types

Numeric5
Text4
Categorical4
Unsupported6

Dataset

Description번호,사업장명,소재지전체주소,도로명전체주소,인허가일자,영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,소재지면적,소재지우편번호,여성복지시설종류,여성복지시설종류명,전화번호,위치정보(X),위치정보(Y),인허가번호,상세영업상태명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15024/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 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 11 (33.3%) missing valuesMissing
폐업일자 has 33 (100.0%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
소재지면적 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
전화번호 has 3 (9.1%) missing valuesMissing
위치정보(X) has 3 (9.1%) missing valuesMissing
위치정보(Y) has 3 (9.1%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
소재지전체주소 has unique valuesUnique
인허가일자 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
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

Reproduction

Analysis started2023-12-11 07:56:08.633649
Analysis finished2023-12-11 07:56:12.724371
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T16:56:12.809447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly decreasing
2023-12-11T16:56:12.985407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
33 1
 
3.0%
8 1
 
3.0%
14 1
 
3.0%
13 1
 
3.0%
12 1
 
3.0%
11 1
 
3.0%
10 1
 
3.0%
9 1
 
3.0%
7 1
 
3.0%
32 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T16:56:13.249160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length13.242424
Min length7

Characters and Unicode

Total characters437
Distinct characters85
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

Unique33 ?
Unique (%)100.0%

Sample

1st row나우리가족상담센터
2nd row성원가정폭력상담소
3rd row연세가정상담소부설 마포가정폭력상담소
4th row동작가정폭력상담소
5th row한국가정법률상담소 중구지부부설 가정폭력관련상담소
ValueCountFrequency (%)
부설 5
 
9.1%
가정폭력상담소 4
 
7.3%
사)남성의전화 2
 
3.6%
서울가정폭력상담센터 2
 
3.6%
나우리가족상담센터 1
 
1.8%
나우미 1
 
1.8%
가정행복상담센터 1
 
1.8%
성결가정폭력관련상담소 1
 
1.8%
사)아하가족성장연구소 1
 
1.8%
사)서울강서양천여성의전화부설강서양천가정폭력상담소 1
 
1.8%
Other values (36) 36
65.5%
2023-12-11T16:56:13.786999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 36
 
8.2%
담 36
 
8.2%
가 34
 
7.8%
정 28
 
6.4%
소 26
 
5.9%
22
 
5.0%
력 21
 
4.8%
폭 21
 
4.8%
터 12
 
2.7%
센 11
 
2.5%
Other values (75) 190
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
92.4%
Space Separator 22
 
5.0%
Close Punctuation 6
 
1.4%
Open Punctuation 5
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 36
 
8.9%
담 36
 
8.9%
가 34
 
8.4%
정 28
 
6.9%
소 26
 
6.4%
력 21
 
5.2%
폭 21
 
5.2%
터 12
 
3.0%
센 11
 
2.7%
성 10
 
2.5%
Other values (72) 169
41.8%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
92.4%
Common 33
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 36
 
8.9%
담 36
 
8.9%
가 34
 
8.4%
정 28
 
6.9%
소 26
 
6.4%
력 21
 
5.2%
폭 21
 
5.2%
터 12
 
3.0%
센 11
 
2.7%
성 10
 
2.5%
Other values (72) 169
41.8%
Common
ValueCountFrequency (%)
22
66.7%
) 6
 
18.2%
( 5
 
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
92.4%
ASCII 33
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 36
 
8.9%
담 36
 
8.9%
가 34
 
8.4%
정 28
 
6.9%
소 26
 
6.4%
력 21
 
5.2%
폭 21
 
5.2%
터 12
 
3.0%
센 11
 
2.7%
성 10
 
2.5%
Other values (72) 169
41.8%
ASCII
ValueCountFrequency (%)
22
66.7%
) 6
 
18.2%
( 5
 
15.2%

소재지전체주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T16:56:14.137763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length29
Mean length24.454545
Min length14

Characters and Unicode

Total characters807
Distinct characters113
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

Unique33 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 성산동 592번지
2nd row서울특별시 마포구 상수동 330-10번지
3rd row서울특별시 마포구 대흥동 328-31번지
4th row서울특별시 동작구 상도동 129-8번지
5th row서울특별시 중구 신당동 402-9번지
ValueCountFrequency (%)
서울특별시 33
 
22.4%
양천구 5
 
3.4%
마포구 3
 
2.0%
목동 3
 
2.0%
광진구 3
 
2.0%
은평구 2
 
1.4%
서초구 2
 
1.4%
종로구 2
 
1.4%
신정동 2
 
1.4%
동대문구 2
 
1.4%
Other values (87) 90
61.2%
2023-12-11T16:56:14.723184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
18.0%
서 38
 
4.7%
동 38
 
4.7%
특 33
 
4.1%
별 33
 
4.1%
시 33
 
4.1%
울 33
 
4.1%
구 33
 
4.1%
지 32
 
4.0%
번 32
 
4.0%
Other values (103) 357
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
59.6%
Decimal Number 153
 
19.0%
Space Separator 145
 
18.0%
Dash Punctuation 27
 
3.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 38
 
7.9%
동 38
 
7.9%
특 33
 
6.9%
별 33
 
6.9%
시 33
 
6.9%
울 33
 
6.9%
구 33
 
6.9%
지 32
 
6.7%
번 32
 
6.7%
천 7
 
1.5%
Other values (90) 169
35.1%
Decimal Number
ValueCountFrequency (%)
1 31
20.3%
3 22
14.4%
2 18
11.8%
5 17
11.1%
8 14
9.2%
9 13
8.5%
0 12
 
7.8%
4 11
 
7.2%
7 8
 
5.2%
6 7
 
4.6%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
59.6%
Common 326
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 38
 
7.9%
동 38
 
7.9%
특 33
 
6.9%
별 33
 
6.9%
시 33
 
6.9%
울 33
 
6.9%
구 33
 
6.9%
지 32
 
6.7%
번 32
 
6.7%
천 7
 
1.5%
Other values (90) 169
35.1%
Common
ValueCountFrequency (%)
145
44.5%
1 31
 
9.5%
- 27
 
8.3%
3 22
 
6.7%
2 18
 
5.5%
5 17
 
5.2%
8 14
 
4.3%
9 13
 
4.0%
0 12
 
3.7%
4 11
 
3.4%
Other values (3) 16
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
59.6%
ASCII 326
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
44.5%
1 31
 
9.5%
- 27
 
8.3%
3 22
 
6.7%
2 18
 
5.5%
5 17
 
5.2%
8 14
 
4.3%
9 13
 
4.0%
0 12
 
3.7%
4 11
 
3.4%
Other values (3) 16
 
4.9%
Hangul
ValueCountFrequency (%)
서 38
 
7.9%
동 38
 
7.9%
특 33
 
6.9%
별 33
 
6.9%
시 33
 
6.9%
울 33
 
6.9%
구 33
 
6.9%
지 32
 
6.7%
번 32
 
6.7%
천 7
 
1.5%
Other values (90) 169
35.1%

도로명전체주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing11
Missing (%)33.3%
Memory size396.0 B
2023-12-11T16:56:15.092744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35.5
Mean length28.681818
Min length23

Characters and Unicode

Total characters631
Distinct characters116
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 와우산로 26 (상수동)
2nd row서울특별시 마포구 독막로 248-1 (대흥동)
3rd row서울특별시 동작구 상도로 398 (상도동, 기나빌딩)
4th row서울특별시 광진구 자양로 71-7 (자양동)
5th row서울특별시 광진구 긴고랑로7길 54 (중곡동)
ValueCountFrequency (%)
서울특별시 22
 
18.2%
광진구 3
 
2.5%
양천구 3
 
2.5%
신정동 2
 
1.7%
마포구 2
 
1.7%
서초구 2
 
1.7%
종로구 2
 
1.7%
창의문로10길 1
 
0.8%
성동구 1
 
0.8%
휘경동 1
 
0.8%
Other values (82) 82
67.8%
2023-12-11T16:56:15.618485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
16.5%
서 28
 
4.4%
동 27
 
4.3%
1 27
 
4.3%
로 25
 
4.0%
특 22
 
3.5%
별 22
 
3.5%
시 22
 
3.5%
울 22
 
3.5%
) 22
 
3.5%
Other values (106) 310
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
58.5%
Space Separator 104
 
16.5%
Decimal Number 95
 
15.1%
Close Punctuation 22
 
3.5%
Open Punctuation 22
 
3.5%
Other Punctuation 10
 
1.6%
Dash Punctuation 9
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 28
 
7.6%
동 27
 
7.3%
로 25
 
6.8%
특 22
 
6.0%
별 22
 
6.0%
시 22
 
6.0%
울 22
 
6.0%
구 22
 
6.0%
길 10
 
2.7%
대 6
 
1.6%
Other values (91) 163
44.2%
Decimal Number
ValueCountFrequency (%)
1 27
28.4%
2 15
15.8%
3 9
 
9.5%
4 9
 
9.5%
7 7
 
7.4%
8 6
 
6.3%
9 6
 
6.3%
0 6
 
6.3%
5 5
 
5.3%
6 5
 
5.3%
Space Separator
ValueCountFrequency (%)
104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
58.5%
Common 262
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 28
 
7.6%
동 27
 
7.3%
로 25
 
6.8%
특 22
 
6.0%
별 22
 
6.0%
시 22
 
6.0%
울 22
 
6.0%
구 22
 
6.0%
길 10
 
2.7%
대 6
 
1.6%
Other values (91) 163
44.2%
Common
ValueCountFrequency (%)
104
39.7%
1 27
 
10.3%
) 22
 
8.4%
( 22
 
8.4%
2 15
 
5.7%
, 10
 
3.8%
3 9
 
3.4%
4 9
 
3.4%
- 9
 
3.4%
7 7
 
2.7%
Other values (5) 28
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
58.5%
ASCII 262
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
39.7%
1 27
 
10.3%
) 22
 
8.4%
( 22
 
8.4%
2 15
 
5.7%
, 10
 
3.8%
3 9
 
3.4%
4 9
 
3.4%
- 9
 
3.4%
7 7
 
2.7%
Other values (5) 28
 
10.7%
Hangul
ValueCountFrequency (%)
서 28
 
7.6%
동 27
 
7.3%
로 25
 
6.8%
특 22
 
6.0%
별 22
 
6.0%
시 22
 
6.0%
울 22
 
6.0%
구 22
 
6.0%
길 10
 
2.7%
대 6
 
1.6%
Other values (91) 163
44.2%

인허가일자
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20068566
Minimum19981217
Maximum20170928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T16:56:16.153313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981217
5-th percentile19990368
Q120030515
median20050922
Q320120326
95-th percentile20161157
Maximum20170928
Range189711
Interquartile range (IQR)89811

Descriptive statistics

Standard deviation59567.102
Coefficient of variation (CV)0.0029681793
Kurtosis-1.1242899
Mean20068566
Median Absolute Deviation (MAD)50180
Skewness0.27454488
Sum6.6226267 × 108
Variance3.5482397 × 109
MonotonicityNot monotonic
2023-12-11T16:56:16.372348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20070320 1
 
3.0%
20030923 1
 
3.0%
19991014 1
 
3.0%
20050222 1
 
3.0%
19990528 1
 
3.0%
20050728 1
 
3.0%
20040116 1
 
3.0%
20161109 1
 
3.0%
20150122 1
 
3.0%
20050905 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
19981217 1
3.0%
19990129 1
3.0%
19990528 1
3.0%
19990602 1
3.0%
19991014 1
3.0%
20000306 1
3.0%
20000901 1
3.0%
20011016 1
3.0%
20030515 1
3.0%
20030923 1
3.0%
ValueCountFrequency (%)
20170928 1
3.0%
20161230 1
3.0%
20161109 1
3.0%
20160407 1
3.0%
20150122 1
3.0%
20150116 1
3.0%
20140324 1
3.0%
20120925 1
3.0%
20120326 1
3.0%
20111121 1
3.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
운영중
33 

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 33
100.0%

Length

2023-12-11T16:56:16.525734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:56:16.629107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 33
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

여성복지시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
201
33 

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 33
100.0%

Length

2023-12-11T16:56:16.754619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:56:16.877308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201 33
100.0%

여성복지시설종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
가정폭력상담소
33 

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 33
100.0%

Length

2023-12-11T16:56:17.034119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:56:17.180243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정폭력상담소 33
100.0%

전화번호
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing3
Missing (%)9.1%
Memory size396.0 B
2023-12-11T16:56:17.372523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4333333
Min length7

Characters and Unicode

Total characters283
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

Unique30 ?
Unique (%)100.0%

Sample

1st row02 396 4049
2nd row02 706 1366
3rd row028250674
4th row02 22386551
5th row4531366
ValueCountFrequency (%)
02 5
 
12.8%
1366 2
 
5.1%
07081161366 1
 
2.6%
0260839191 1
 
2.6%
26531366 1
 
2.6%
7257077 1
 
2.6%
3798558 1
 
2.6%
029590101 1
 
2.6%
0222487702 1
 
2.6%
0226520458 1
 
2.6%
Other values (24) 24
61.5%
2023-12-11T16:56:17.742389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
17.0%
2 46
16.3%
6 30
10.6%
1 25
8.8%
7 24
8.5%
3 22
7.8%
5 22
7.8%
4 20
7.1%
9 18
 
6.4%
8 16
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
95.8%
Space Separator 12
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
17.7%
2 46
17.0%
6 30
11.1%
1 25
9.2%
7 24
8.9%
3 22
8.1%
5 22
8.1%
4 20
7.4%
9 18
 
6.6%
8 16
 
5.9%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
17.0%
2 46
16.3%
6 30
10.6%
1 25
8.8%
7 24
8.5%
3 22
7.8%
5 22
7.8%
4 20
7.1%
9 18
 
6.4%
8 16
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
17.0%
2 46
16.3%
6 30
10.6%
1 25
8.8%
7 24
8.5%
3 22
7.8%
5 22
7.8%
4 20
7.1%
9 18
 
6.4%
8 16
 
5.7%

위치정보(X)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)100.0%
Missing3
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean197261.97
Minimum185854.01
Maximum207415.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T16:56:17.894500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185854.01
5-th percentile187097.42
Q1192746.76
median196824.07
Q3202365.74
95-th percentile207222.96
Maximum207415.95
Range21561.94
Interquartile range (IQR)9618.9763

Descriptive statistics

Standard deviation6467.2572
Coefficient of variation (CV)0.032785119
Kurtosis-1.0020015
Mean197261.97
Median Absolute Deviation (MAD)5378.9727
Skewness-0.049418954
Sum5917859.2
Variance41825415
MonotonicityNot monotonic
2023-12-11T16:56:18.039691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
196805.042252 1
 
3.0%
191107.825116 1
 
3.0%
194534.510398 1
 
3.0%
207318.615963 1
 
3.0%
204663.995416 1
 
3.0%
199591.277325 1
 
3.0%
201721.377823 1
 
3.0%
202670.0 1
 
3.0%
188953.066831 1
 
3.0%
202528.436034 1
 
3.0%
Other values (20) 20
60.6%
(Missing) 3
 
9.1%
ValueCountFrequency (%)
185854.007594 1
3.0%
186878.985312 1
3.0%
187364.401708 1
3.0%
188953.066831 1
3.0%
189019.231608 1
3.0%
190869.401916 1
3.0%
191107.825116 1
3.0%
192592.114134 1
3.0%
193210.7147 1
3.0%
194534.510398 1
3.0%
ValueCountFrequency (%)
207415.947476 1
3.0%
207318.615963 1
3.0%
207106.057203 1
3.0%
206077.584569 1
3.0%
204663.995416 1
3.0%
204563.041094 1
3.0%
202670.0 1
3.0%
202528.436034 1
3.0%
201877.654118 1
3.0%
201721.377823 1
3.0%

위치정보(Y)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)100.0%
Missing3
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean449601.09
Minimum440919.94
Maximum458628.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T16:56:18.173311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440919.94
5-th percentile442416.33
Q1447173.77
median449676.42
Q3453286.24
95-th percentile457059.65
Maximum458628.94
Range17708.996
Interquartile range (IQR)6112.47

Descriptive statistics

Standard deviation4631.3137
Coefficient of variation (CV)0.01030094
Kurtosis-0.61192371
Mean449601.09
Median Absolute Deviation (MAD)3396.5202
Skewness0.0026499133
Sum13488033
Variance21449067
MonotonicityNot monotonic
2023-12-11T16:56:18.300865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
452646.325815 1
 
3.0%
453948.686921 1
 
3.0%
456373.042829 1
 
3.0%
445679.68356 1
 
3.0%
458628.937448 1
 
3.0%
443250.191596 1
 
3.0%
443808.454548 1
 
3.0%
451356.0 1
 
3.0%
447333.569188 1
 
3.0%
457621.423953 1
 
3.0%
Other values (20) 20
60.6%
(Missing) 3
 
9.1%
ValueCountFrequency (%)
440919.941586 1
3.0%
441734.072859 1
3.0%
443250.191596 1
3.0%
443802.286298 1
3.0%
443808.454548 1
3.0%
444305.787911 1
3.0%
445679.68356 1
3.0%
447137.650021 1
3.0%
447282.144604 1
3.0%
447333.569188 1
3.0%
ValueCountFrequency (%)
458628.937448 1
3.0%
457621.423953 1
3.0%
456373.042829 1
3.0%
454924.055495 1
3.0%
453953.283303 1
3.0%
453948.686921 1
3.0%
453668.259 1
3.0%
453499.549616 1
3.0%
452646.325815 1
3.0%
451799.062814 1
3.0%

인허가번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1066669 × 1015
Minimum3.0000002 × 1015
Maximum3.2300002 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T16:56:18.466622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000002 × 1015
5-th percentile3.0060002 × 1015
Q13.0400002 × 1015
median3.1200002 × 1015
Q33.1400002 × 1015
95-th percentile3.2100002 × 1015
Maximum3.2300002 × 1015
Range2.3 × 1014
Interquartile range (IQR)1 × 1014

Descriptive statistics

Standard deviation6.7484566 × 1013
Coefficient of variation (CV)0.021722498
Kurtosis-1.0947081
Mean3.1066669 × 1015
Median Absolute Deviation (MAD)6 × 1013
Skewness0.0027661427
Sum1.0252001 × 1017
Variance4.5541667 × 1027
MonotonicityNot monotonic
2023-12-11T16:56:18.604402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3130000200700015 1
 
3.0%
3140000201500006 1
 
3.0%
3000000200900017 1
 
3.0%
3000000200900013 1
 
3.0%
3150000199900003 1
 
3.0%
3050000200700029 1
 
3.0%
3050000200400035 1
 
3.0%
3080000201600001 1
 
3.0%
3030000201500001 1
 
3.0%
3130000200500060 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
3000000200900013 1
3.0%
3000000200900017 1
3.0%
3010000200700005 1
3.0%
3020000200100011 1
3.0%
3020000201400001 1
3.0%
3030000201500001 1
3.0%
3040000200800003 1
3.0%
3040000201200003 1
3.0%
3040000201600001 1
3.0%
3050000200400035 1
3.0%
ValueCountFrequency (%)
3230000200900016 1
3.0%
3210000200700025 1
3.0%
3210000200700024 1
3.0%
3200000201600001 1
3.0%
3190000201700001 1
3.0%
3180000201000039 1
3.0%
3170000201500001 1
3.0%
3150000199900003 1
3.0%
3140000201600003 1
3.0%
3140000201500006 1
3.0%

상세영업상태명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업
24 
<NA>
9 

Length

Max length4
Median length2
Mean length2.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 24
72.7%
<NA> 9
 
27.3%

Length

2023-12-11T16:56:18.740836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:56:18.852442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 24
72.7%
na 9
 
27.3%

Interactions

2023-12-11T16:56:11.447136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.207842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.697074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.302734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.870986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:11.550120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.299520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.807228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.436864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.967776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:11.681300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.410207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.936999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.564960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:11.099805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:11.790208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.501874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.055141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.671715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:11.215060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:11.899178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:09.606467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.183198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:10.770375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T16:56:11.336502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T16:56:18.922048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장명소재지전체주소도로명전체주소인허가일자전화번호위치정보(X)위치정보(Y)인허가번호
번호1.0001.0001.0001.0000.2341.0000.4400.3530.846
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지전체주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명전체주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
인허가일자0.2341.0001.0001.0001.0001.0000.0000.7950.453
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
위치정보(X)0.4401.0001.0001.0000.0001.0001.0000.0000.806
위치정보(Y)0.3531.0001.0001.0000.7951.0000.0001.0000.843
인허가번호0.8461.0001.0001.0000.4531.0000.8060.8431.000
2023-12-11T16:56:19.064762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호인허가일자위치정보(X)위치정보(Y)인허가번호상세영업상태명
번호1.0000.150-0.131-0.258-0.1061.000
인허가일자0.1501.000-0.007-0.2480.1501.000
위치정보(X)-0.131-0.0071.0000.329-0.3451.000
위치정보(Y)-0.258-0.2480.3291.000-0.7291.000
인허가번호-0.1060.150-0.345-0.7291.0001.000
상세영업상태명1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T16:56:12.067660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T16:56:12.407589image/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.
2023-12-11T16:56:12.613076image/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
033나우리가족상담센터서울특별시 마포구 성산동 592번지<NA>20070320운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소<NA><NA><NA>3130000200700015<NA>
132성원가정폭력상담소서울특별시 마포구 상수동 330-10번지서울특별시 마포구 와우산로 26 (상수동)20050905운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소02 396 4049193210.7147449702.7116243130000200500060<NA>
231연세가정상담소부설 마포가정폭력상담소서울특별시 마포구 대흥동 328-31번지서울특별시 마포구 독막로 248-1 (대흥동)20050317운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소02 706 1366194793.003878449650.123343130000200500059<NA>
330동작가정폭력상담소서울특별시 동작구 상도동 129-8번지서울특별시 동작구 상도로 398 (상도동, 기나빌딩)20170928운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소028250674196067.890799443802.2862983190000201700001영업
429한국가정법률상담소 중구지부부설 가정폭력관련상담소서울특별시 중구 신당동 402-9번지<NA>19990129운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소02 22386551200927.737695450907.4622373010000200700005<NA>
528희년 여성상담소서울특별시 광진구 자양동 628-23번지서울특별시 광진구 자양로 71-7 (자양동)20120326운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소4531366207415.947476448290.5850493040000201200003영업
627음악치료가정상담소서울특별시 광진구 중곡동 192-59번지서울특별시 광진구 긴고랑로7길 54 (중곡동)20060602운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소024615548207106.057203451799.0628143040000200800003영업
726꿈터가정폭력상담소서울특별시 영등포구 신길동 4300-33번지서울특별시 영등포구 여의대방로13길 14 (신길동)20101102운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소60834972192592.114134444305.7879113180000201000039영업
825대한가정법률복지상담워 부설 가정폭력상담소서울특별시 양천구 신정동 952-4번지서울특별시 양천구 오목로 176 (신정동, 산호빌딩)20071217운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소0236750142187364.401708447282.1446043140000201600003영업
924서대문가정폭력관련상담소서울특별시 서대문구 북아현동 238-12번지서울특별시 서대문구 신촌로 215-2 (북아현동)19990602운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소3640413195574.043201450864.5173383120000201000029영업
번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호여성복지시설종류여성복지시설종류명전화번호위치정보(X)위치정보(Y)인허가번호상세영업상태명
2310동대문 행복한 심리상담센터서울특별시 동대문구 휘경동 49-382번지서울특별시 동대문구 한천로 244-5 (휘경동)20040116운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소0222487702206077.584569453668.2593050000200400035<NA>
249해윰가족상담소서울특별시 강북구 미아동 134-97번지<NA>20161109운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소07081161366202528.436034457621.4239533080000201600001영업
258사)남성의전화 부설 서울가정폭력상담센터서울특별시 양천구 목동 917-9번지<NA>20030923운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소0226520458188953.066831447333.5691883140000201500006영업
267서울 성동 가정상담센터서울특별시 성동구 도선동 343-8번지서울특별시 성동구 무학로2길 7, 301호 (도선동)20150122운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소0222972911202670.0451356.03030000201500001영업
276서초가족상담센터서울특별시 서초구 서초동 1640-25번지서울특별시 서초구 서초중앙로22길 92-13 (서초동, 화니빌딩)20050922운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소025822710201721.377823443808.4545483210000200700025영업
285동산가정폭력상담소서울특별시 서초구 방배동 877-18번지 3층서울특별시 서초구 서초대로27길 10-10 (방배동,3층)20030515운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소025997646199591.277325443250.1915963210000200700024영업
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303잠실가정폭력상담소서울특별시 송파구 잠실동 188-1번지서울특별시 송파구 올림픽로12길 12 (잠실동)20000306운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소<NA>207318.615963445679.683563230000200900016영업
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321은평가정폭력상담소서울특별시 은평구 수색동 8-15번지서울특별시 은평구 은평터널로 48 (수색동)20000901운영중<NA><NA><NA><NA><NA><NA>201가정폭력상담소02326 1366191107.825116453948.6869213110000200000028<NA>