Overview

Dataset statistics

Number of variables11
Number of observations25
Missing cells44
Missing cells (%)16.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory99.3 B

Variable types

Categorical2
Text3
Numeric5
Unsupported1

Alerts

인허가일자 is highly overall correlated with 영업상태명High correlation
폐업일자 is highly overall correlated with 소재지우편번호 and 4 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with 폐업일자 and 2 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 폐업일자 and 3 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 폐업일자 and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 폐업일자 and 3 other fieldsHigh correlation
영업상태명 is highly overall correlated with 인허가일자 and 1 other fieldsHigh correlation
폐업일자 has 16 (64.0%) missing valuesMissing
여성복지시설종류명 has 25 (100.0%) missing valuesMissing
소재지도로명주소 has 2 (8.0%) missing valuesMissing
소재지우편번호 has 1 (4.0%) missing valuesMissing
사업장명 has unique valuesUnique
여성복지시설종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:01:06.286560
Analysis finished2023-12-10 22:01:09.174969
Duration2.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
부천시
8 
수원시
4 
성남시
3 
안양시
3 
김포시
2 
Other values (4)
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row과천시
2nd row김포시
3rd row김포시
4th row부천시
5th row부천시

Common Values

ValueCountFrequency (%)
부천시 8
32.0%
수원시 4
16.0%
성남시 3
 
12.0%
안양시 3
 
12.0%
김포시 2
 
8.0%
용인시 2
 
8.0%
과천시 1
 
4.0%
이천시 1
 
4.0%
파주시 1
 
4.0%

Length

2023-12-11T07:01:09.227058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:09.314317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부천시 8
32.0%
수원시 4
16.0%
성남시 3
 
12.0%
안양시 3
 
12.0%
김포시 2
 
8.0%
용인시 2
 
8.0%
과천시 1
 
4.0%
이천시 1
 
4.0%
파주시 1
 
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T07:01:09.482738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length13.6
Min length6

Characters and Unicode

Total characters340
Distinct characters89
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row과천시육아종합지원센터
2nd row(사)김포여성의전화 부설 가정폭력상담소
3rd row성폭력상담소
4th row행복가정상담센타
5th row부천 청소년 성폭력상담소
ValueCountFrequency (%)
가정폭력상담소 5
 
12.5%
부설 4
 
10.0%
성폭력상담소 3
 
7.5%
안양여성의전화 2
 
5.0%
과천시육아종합지원센터 1
 
2.5%
경원교육센터 1
 
2.5%
이천가정폭력·성폭력상담소 1
 
2.5%
용인성폭력상담소 1
 
2.5%
행복가정상담소 1
 
2.5%
사)가정행복연구원용인기흥지부부설 1
 
2.5%
Other values (20) 20
50.0%
2023-12-11T07:01:09.774863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
담 23
 
6.8%
상 23
 
6.8%
소 20
 
5.9%
력 19
 
5.6%
폭 19
 
5.6%
성 18
 
5.3%
가 17
 
5.0%
정 15
 
4.4%
15
 
4.4%
부 12
 
3.5%
Other values (79) 159
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
92.1%
Space Separator 15
 
4.4%
Other Punctuation 4
 
1.2%
Uppercase Letter 4
 
1.2%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 23
 
7.3%
상 23
 
7.3%
소 20
 
6.4%
력 19
 
6.1%
폭 19
 
6.1%
성 18
 
5.8%
가 17
 
5.4%
정 15
 
4.8%
부 12
 
3.8%
설 9
 
2.9%
Other values (70) 138
44.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
Y 1
25.0%
W 1
25.0%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
' 2
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
92.1%
Common 23
 
6.8%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 23
 
7.3%
상 23
 
7.3%
소 20
 
6.4%
력 19
 
6.1%
폭 19
 
6.1%
성 18
 
5.8%
가 17
 
5.4%
정 15
 
4.8%
부 12
 
3.8%
설 9
 
2.9%
Other values (70) 138
44.1%
Common
ValueCountFrequency (%)
15
65.2%
· 2
 
8.7%
' 2
 
8.7%
( 2
 
8.7%
) 2
 
8.7%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
Y 1
25.0%
W 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
92.1%
ASCII 25
 
7.4%
None 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
담 23
 
7.3%
상 23
 
7.3%
소 20
 
6.4%
력 19
 
6.1%
폭 19
 
6.1%
성 18
 
5.8%
가 17
 
5.4%
정 15
 
4.8%
부 12
 
3.8%
설 9
 
2.9%
Other values (70) 138
44.1%
ASCII
ValueCountFrequency (%)
15
60.0%
' 2
 
8.0%
( 2
 
8.0%
) 2
 
8.0%
A 1
 
4.0%
C 1
 
4.0%
Y 1
 
4.0%
W 1
 
4.0%
None
ValueCountFrequency (%)
· 2
100.0%

인허가일자
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20049911
Minimum19980512
Maximum20150807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:01:09.883538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980512
5-th percentile19983041
Q120020207
median20041228
Q320061019
95-th percentile20148322
Maximum20150807
Range170295
Interquartile range (IQR)40812

Descriptive statistics

Standard deviation50765.822
Coefficient of variation (CV)0.0025319725
Kurtosis0.026367021
Mean20049911
Median Absolute Deviation (MAD)21021
Skewness0.74794953
Sum5.0124777 × 108
Variance2.5771686 × 109
MonotonicityNot monotonic
2023-12-11T07:01:09.982569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20041228 2
 
8.0%
20140325 1
 
4.0%
20051115 1
 
4.0%
20050620 1
 
4.0%
20060810 1
 
4.0%
20030306 1
 
4.0%
20070329 1
 
4.0%
19990727 1
 
4.0%
19980512 1
 
4.0%
19990726 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
19980512 1
4.0%
19981224 1
4.0%
19990308 1
4.0%
19990726 1
4.0%
19990727 1
4.0%
20011017 1
4.0%
20020207 1
4.0%
20030306 1
4.0%
20030707 1
4.0%
20031127 1
4.0%
ValueCountFrequency (%)
20150807 1
4.0%
20150121 1
4.0%
20141125 1
4.0%
20140325 1
4.0%
20070416 1
4.0%
20070329 1
4.0%
20061019 1
4.0%
20060817 1
4.0%
20060810 1
4.0%
20060224 1
4.0%

영업상태명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
운영중
16 
폐업 등
9 

Length

Max length4
Median length3
Mean length3.36
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 16
64.0%
폐업 등 9
36.0%

Length

2023-12-11T07:01:10.091317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:10.170918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 16
47.1%
폐업 9
26.5%
등 9
26.5%

폐업일자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)100.0%
Missing16
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean20108292
Minimum20041124
Maximum20170711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:01:10.248310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041124
5-th percentile20048800
Q120081230
median20100202
Q320140203
95-th percentile20170677
Maximum20170711
Range129587
Interquartile range (IQR)58973

Descriptive statistics

Standard deviation45936.53
Coefficient of variation (CV)0.0022844571
Kurtosis-1.1043091
Mean20108292
Median Absolute Deviation (MAD)39889
Skewness0.13215514
Sum1.8097463 × 108
Variance2.1101648 × 109
MonotonicityNot monotonic
2023-12-11T07:01:10.342815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20041124 1
 
4.0%
20060313 1
 
4.0%
20120105 1
 
4.0%
20090113 1
 
4.0%
20081230 1
 
4.0%
20170711 1
 
4.0%
20170626 1
 
4.0%
20140203 1
 
4.0%
20100202 1
 
4.0%
(Missing) 16
64.0%
ValueCountFrequency (%)
20041124 1
4.0%
20060313 1
4.0%
20081230 1
4.0%
20090113 1
4.0%
20100202 1
4.0%
20120105 1
4.0%
20140203 1
4.0%
20170626 1
4.0%
20170711 1
4.0%
ValueCountFrequency (%)
20170711 1
4.0%
20170626 1
4.0%
20140203 1
4.0%
20120105 1
4.0%
20100202 1
4.0%
20090113 1
4.0%
20081230 1
4.0%
20060313 1
4.0%
20041124 1
4.0%

여성복지시설종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지도로명주소
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing2
Missing (%)8.0%
Memory size332.0 B
2023-12-11T07:01:10.541142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length24.913043
Min length14

Characters and Unicode

Total characters573
Distinct characters96
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 (%)91.3%

Sample

1st row경기도 과천시 별양로 182 (부림동, 가족여성프라자)
2nd row경기도 김포시 북변중로68번길 377-7 (북변동)
3rd row경기도 김포시 봉화로 9-23
4th row경기도 부천시 석천로16번길 75
5th row경기도 부천시 성주로 149
ValueCountFrequency (%)
경기도 23
 
18.3%
부천시 8
 
6.3%
팔달구 3
 
2.4%
성남시 3
 
2.4%
안양시 3
 
2.4%
수원시 3
 
2.4%
경수대로 3
 
2.4%
동안구 3
 
2.4%
호계동 3
 
2.4%
김포시 2
 
1.6%
Other values (65) 72
57.1%
2023-12-11T07:01:10.908127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
19.0%
경 26
 
4.5%
기 24
 
4.2%
시 24
 
4.2%
로 24
 
4.2%
도 23
 
4.0%
동 18
 
3.1%
( 14
 
2.4%
) 14
 
2.4%
천 12
 
2.1%
Other values (86) 285
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
59.9%
Space Separator 109
 
19.0%
Decimal Number 79
 
13.8%
Open Punctuation 14
 
2.4%
Close Punctuation 14
 
2.4%
Other Punctuation 11
 
1.9%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 26
 
7.6%
기 24
 
7.0%
시 24
 
7.0%
로 24
 
7.0%
도 23
 
6.7%
동 18
 
5.2%
천 12
 
3.5%
구 12
 
3.5%
부 12
 
3.5%
수 10
 
2.9%
Other values (71) 158
46.1%
Decimal Number
ValueCountFrequency (%)
2 12
15.2%
1 10
12.7%
7 10
12.7%
3 10
12.7%
5 9
11.4%
8 7
8.9%
6 7
8.9%
4 5
6.3%
9 5
6.3%
0 4
 
5.1%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
59.9%
Common 230
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 26
 
7.6%
기 24
 
7.0%
시 24
 
7.0%
로 24
 
7.0%
도 23
 
6.7%
동 18
 
5.2%
천 12
 
3.5%
구 12
 
3.5%
부 12
 
3.5%
수 10
 
2.9%
Other values (71) 158
46.1%
Common
ValueCountFrequency (%)
109
47.4%
( 14
 
6.1%
) 14
 
6.1%
2 12
 
5.2%
, 11
 
4.8%
1 10
 
4.3%
7 10
 
4.3%
3 10
 
4.3%
5 9
 
3.9%
8 7
 
3.0%
Other values (5) 24
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
59.9%
ASCII 230
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
47.4%
( 14
 
6.1%
) 14
 
6.1%
2 12
 
5.2%
, 11
 
4.8%
1 10
 
4.3%
7 10
 
4.3%
3 10
 
4.3%
5 9
 
3.9%
8 7
 
3.0%
Other values (5) 24
 
10.4%
Hangul
ValueCountFrequency (%)
경 26
 
7.6%
기 24
 
7.0%
시 24
 
7.0%
로 24
 
7.0%
도 23
 
6.7%
동 18
 
5.2%
천 12
 
3.5%
구 12
 
3.5%
부 12
 
3.5%
수 10
 
2.9%
Other values (71) 158
46.1%

소재지지번주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T07:01:11.135259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length23.28
Min length16

Characters and Unicode

Total characters582
Distinct characters80
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

Unique23 ?
Unique (%)92.0%

Sample

1st row경기도 과천시 부림동 44번지
2nd row경기도 김포시 북변동 377-7번지
3rd row경기도 김포시 사우동 250-5번지
4th row경기도 부천시 상동 316-24번지
5th row경기도 부천시 송내동 630-2번지
ValueCountFrequency (%)
경기도 25
 
20.0%
부천시 8
 
6.4%
팔달구 4
 
3.2%
수원시 4
 
3.2%
여월동 3
 
2.4%
성남시 3
 
2.4%
안양시 3
 
2.4%
동안구 3
 
2.4%
호계동 3
 
2.4%
태평동 2
 
1.6%
Other values (57) 67
53.6%
2023-12-11T07:01:11.471700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
17.2%
동 28
 
4.8%
기 27
 
4.6%
지 26
 
4.5%
시 26
 
4.5%
번 25
 
4.3%
경 25
 
4.3%
도 25
 
4.3%
- 21
 
3.6%
7 18
 
3.1%
Other values (70) 261
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
59.8%
Decimal Number 113
 
19.4%
Space Separator 100
 
17.2%
Dash Punctuation 21
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
8.0%
기 27
 
7.8%
지 26
 
7.5%
시 26
 
7.5%
번 25
 
7.2%
경 25
 
7.2%
도 25
 
7.2%
구 13
 
3.7%
부 10
 
2.9%
천 10
 
2.9%
Other values (58) 133
38.2%
Decimal Number
ValueCountFrequency (%)
7 18
15.9%
1 15
13.3%
3 14
12.4%
4 12
10.6%
8 12
10.6%
9 11
9.7%
5 11
9.7%
2 8
7.1%
0 7
 
6.2%
6 5
 
4.4%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
59.8%
Common 234
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
8.0%
기 27
 
7.8%
지 26
 
7.5%
시 26
 
7.5%
번 25
 
7.2%
경 25
 
7.2%
도 25
 
7.2%
구 13
 
3.7%
부 10
 
2.9%
천 10
 
2.9%
Other values (58) 133
38.2%
Common
ValueCountFrequency (%)
100
42.7%
- 21
 
9.0%
7 18
 
7.7%
1 15
 
6.4%
3 14
 
6.0%
4 12
 
5.1%
8 12
 
5.1%
9 11
 
4.7%
5 11
 
4.7%
2 8
 
3.4%
Other values (2) 12
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
59.8%
ASCII 234
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
42.7%
- 21
 
9.0%
7 18
 
7.7%
1 15
 
6.4%
3 14
 
6.0%
4 12
 
5.1%
8 12
 
5.1%
9 11
 
4.7%
5 11
 
4.7%
2 8
 
3.4%
Other values (2) 12
 
5.1%
Hangul
ValueCountFrequency (%)
동 28
 
8.0%
기 27
 
7.8%
지 26
 
7.5%
시 26
 
7.5%
번 25
 
7.2%
경 25
 
7.2%
도 25
 
7.2%
구 13
 
3.7%
부 10
 
2.9%
천 10
 
2.9%
Other values (58) 133
38.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)87.5%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean14314.375
Minimum10098
Maximum17375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:01:11.581402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10098
5-th percentile10231.1
Q113722.5
median14468
Q315123.75
95-th percentile16898.75
Maximum17375
Range7277
Interquartile range (IQR)1401.25

Descriptive statistics

Standard deviation1903.5946
Coefficient of variation (CV)0.13298482
Kurtosis0.71729279
Mean14314.375
Median Absolute Deviation (MAD)854
Skewness-0.76943502
Sum343545
Variance3623672.3
MonotonicityNot monotonic
2023-12-11T07:01:11.687765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
13290 2
 
8.0%
14082 2
 
8.0%
16263 2
 
8.0%
10098 1
 
4.0%
10923 1
 
4.0%
17375 1
 
4.0%
16979 1
 
4.0%
14109 1
 
4.0%
16444 1
 
4.0%
16245 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
10098 1
4.0%
10109 1
4.0%
10923 1
4.0%
13290 2
8.0%
13397 1
4.0%
13831 1
4.0%
14082 2
8.0%
14109 1
4.0%
14460 1
4.0%
14462 1
4.0%
ValueCountFrequency (%)
17375 1
4.0%
16979 1
4.0%
16444 1
4.0%
16263 2
8.0%
16245 1
4.0%
14750 1
4.0%
14740 1
4.0%
14630 1
4.0%
14628 1
4.0%
14621 1
4.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.432346
Minimum37.271347
Maximum37.755951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:01:11.829372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.271347
5-th percentile37.273689
Q137.285772
median37.443827
Q337.491211
95-th percentile37.625043
Maximum37.755951
Range0.48460457
Interquartile range (IQR)0.20543864

Descriptive statistics

Standard deviation0.12798154
Coefficient of variation (CV)0.0034190093
Kurtosis0.17045544
Mean37.432346
Median Absolute Deviation (MAD)0.07145922
Skewness0.49844
Sum935.80865
Variance0.016379274
MonotonicityNot monotonic
2023-12-11T07:01:11.943057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.3785545107 2
 
8.0%
37.4339132595 1
 
4.0%
37.4438265039 1
 
4.0%
37.7559512765 1
 
4.0%
37.2779655238 1
 
4.0%
37.2713467026 1
 
4.0%
37.2857720056 1
 
4.0%
37.3755821785 1
 
4.0%
37.2749554757 1
 
4.0%
37.2748199911 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
37.2713467026 1
4.0%
37.2734061487 1
4.0%
37.2748199911 1
4.0%
37.2749554757 1
4.0%
37.2755943951 1
4.0%
37.2779655238 1
4.0%
37.2857720056 1
4.0%
37.3755821785 1
4.0%
37.3785545107 2
8.0%
37.4339132595 1
4.0%
ValueCountFrequency (%)
37.7559512765 1
4.0%
37.6270476743 1
4.0%
37.6170240677 1
4.0%
37.5204488223 1
4.0%
37.518540218 1
4.0%
37.5152857243 1
4.0%
37.4912106418 1
4.0%
37.4891465289 1
4.0%
37.4864588237 1
4.0%
37.4824875766 1
4.0%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.94112
Minimum126.71061
Maximum127.4411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:01:12.060304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71061
5-th percentile126.72561
Q1126.7823
median126.95434
Q3127.022
95-th percentile127.15474
Maximum127.4411
Range0.73049514
Interquartile range (IQR)0.23970572

Descriptive statistics

Standard deviation0.18159809
Coefficient of variation (CV)0.0014305694
Kurtosis0.57095873
Mean126.94112
Median Absolute Deviation (MAD)0.17126785
Skewness0.79225991
Sum3173.5281
Variance0.032977866
MonotonicityNot monotonic
2023-12-11T07:01:12.182522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.9543439267 2
 
8.0%
126.9977748752 1
 
4.0%
127.139536946 1
 
4.0%
126.7777107532 1
 
4.0%
127.4411031581 1
 
4.0%
127.1302163027 1
 
4.0%
127.1021053366 1
 
4.0%
126.9568635334 1
 
4.0%
127.0160625088 1
 
4.0%
127.0187572177 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
126.710608014 1
4.0%
126.7159933428 1
4.0%
126.7640748232 1
4.0%
126.7729134652 1
4.0%
126.7764077194 1
4.0%
126.7777107532 1
4.0%
126.7822988979 1
4.0%
126.7830760781 1
4.0%
126.7987138325 1
4.0%
126.7995787127 1
4.0%
ValueCountFrequency (%)
127.4411031581 1
4.0%
127.1583500351 1
4.0%
127.1402945774 1
4.0%
127.139536946 1
4.0%
127.1302163027 1
4.0%
127.1021053366 1
4.0%
127.0220046225 1
4.0%
127.0187572177 1
4.0%
127.0160625088 1
4.0%
127.0112027911 1
4.0%

Interactions

2023-12-11T07:01:08.463080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:06.711010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.333663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.717482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.111596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.541909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.008032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.409018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.797322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.181548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.625740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.088861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.489171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.870538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.259430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.702496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.172009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.569766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.947357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.327487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.770357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.247220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:07.644506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.029490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:08.386607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:01:12.270216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사업장명인허가일자영업상태명폐업일자소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
시군명1.0001.0000.6660.3261.0001.0001.0000.9680.9430.898
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인허가일자0.6661.0001.0000.5490.4861.0001.0000.5180.9230.573
영업상태명0.3261.0000.5491.000NaN1.0001.0000.0000.2430.000
폐업일자1.0001.0000.486NaN1.0001.0001.0000.8170.8730.873
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9681.0000.5180.0000.8171.0001.0001.0000.9840.936
WGS84위도0.9431.0000.9230.2430.8731.0001.0000.9841.0000.935
WGS84경도0.8981.0000.5730.0000.8731.0001.0000.9360.9351.000
2023-12-11T07:01:12.398142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명
시군명1.0000.248
영업상태명0.2481.000
2023-12-11T07:01:12.480110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자폐업일자소재지우편번호WGS84위도WGS84경도시군명영업상태명
인허가일자1.0000.200-0.1980.0930.4510.4300.533
폐업일자0.2001.0000.563-0.6170.7500.7071.000
소재지우편번호-0.1980.5631.000-0.6150.2870.8770.000
WGS84위도0.093-0.617-0.6151.000-0.7260.8160.208
WGS84경도0.4510.7500.287-0.7261.0000.7160.000
시군명0.4300.7070.8770.8160.7161.0000.248
영업상태명0.5331.0000.0000.2080.0000.2481.000

Missing values

2023-12-11T07:01:08.883617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:01:09.034594image/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.
2023-12-11T07:01:09.127210image/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

시군명사업장명인허가일자영업상태명폐업일자여성복지시설종류명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0과천시과천시육아종합지원센터20140325운영중<NA><NA>경기도 과천시 별양로 182 (부림동, 가족여성프라자)경기도 과천시 부림동 44번지1383137.433913126.997775
1김포시(사)김포여성의전화 부설 가정폭력상담소20011017운영중<NA><NA>경기도 김포시 북변중로68번길 377-7 (북변동)경기도 김포시 북변동 377-7번지1009837.627048126.710608
2김포시성폭력상담소20031127폐업 등20041124<NA>경기도 김포시 봉화로 9-23경기도 김포시 사우동 250-5번지1010937.617024126.715993
3부천시행복가정상담센타20030707운영중<NA><NA>경기도 부천시 석천로16번길 75경기도 부천시 상동 316-24번지1462137.489147126.764075
4부천시부천 청소년 성폭력상담소20041228운영중<NA><NA>경기도 부천시 성주로 149경기도 부천시 송내동 630-2번지1474037.479235126.772913
5부천시부천가정폭력상담소19981224운영중<NA><NA>경기도 부천시 성주로 272경기도 부천시 심곡본동 736-15번지 4층1475037.482488126.782299
6부천시가톨릭가족상담센타20060224운영중<NA><NA>경기도 부천시 소사로656번길 21경기도 부천시 여월동 48-9번지1447437.515286126.803739
7부천시복사골가정폭력상담소20040722폐업 등20060313<NA>경기도 부천시 신흥로 31경기도 부천시 심곡동 360-13번지 현대빌딩4층1462837.486459126.776408
8부천시엘림 가정폭력상담소20060817폐업 등20120105<NA>경기도 부천시 성곡로92번길 53경기도 부천시 여월동 3-77번지1446037.520449126.798714
9부천시영광 가정폭력상담소20061019폐업 등20090113<NA>경기도 부천시 성곡로48번길 5경기도 부천시 여월동 7-85번지1446237.51854126.799579
시군명사업장명인허가일자영업상태명폐업일자여성복지시설종류명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
15수원시수원가정법률상담소부설 가정폭력상담소19990308운영중<NA><NA>경기도 수원시 팔달구 팔달산로 28 (매산로3가,시민회관 3층)경기도 수원시 팔달구 매산로3가 산 2-1번지 시민회관 3층1644437.273406127.011203
16수원시수원여성의전화 부설 성·가정폭력통합상담소20020207폐업 등20170711<NA>경기도 수원시 팔달구 중부대로 20 (구천동, 녹산문고)경기도 수원시 팔달구 중동 4번지 우림빌딩 704호1626337.27482127.018757
17수원시성매매피해상담소'어깨동무'20070416폐업 등20170626<NA><NA>경기도 수원시 팔달구 중동 4번지 우림빌딩 704동1626337.274955127.016063
18안양시안양YWCA가정폭력상담소19990726운영중<NA><NA>경기도 안양시 동안구 경수대로 594 (호계동)경기도 안양시 동안구 호계동 985-19번지1410937.375582126.956864
19안양시안양여성의전화 부설 성폭력상담소19980512운영중<NA><NA>경기도 안양시 동안구 경수대로 631 (호계동)경기도 안양시 동안구 호계동 937-8번지1408237.378555126.954344
20안양시안양여성의전화 부설 가정폭력상담소19990727운영중<NA><NA>경기도 안양시 동안구 경수대로 631 (호계동)경기도 안양시 동안구 호계동 937-8번지1408237.378555126.954344
21용인시(사)가정행복연구원용인기흥지부부설 행복가정상담소20070329폐업 등20140203<NA><NA>경기도 용인시 기흥구 신갈동 58-17-301번지<NA>37.285772127.102105
22용인시용인성폭력상담소20030306폐업 등20100202<NA>경기도 용인시 기흥구 갈곡로8번길 11 (구갈동)경기도 용인시 기흥구 구갈동 585-9번지1697937.271347127.130216
23이천시이천가정폭력·성폭력상담소20060810운영중<NA><NA>경기도 이천시 서희로 27 (중리동)경기도 이천시 중리동 187번지1737537.277966127.441103
24파주시파주여성인권센터20050620운영중<NA><NA>경기도 파주시 금정2길 27-5 (금촌동)경기도 파주시 금촌동 949-1번지 현대미소래산부인과 1층1092337.755951126.777711