Overview

Dataset statistics

Number of variables10
Number of observations1626
Missing cells1717
Missing cells (%)10.6%
Duplicate rows19
Duplicate rows (%)1.2%
Total size in memory133.5 KiB
Average record size in memory84.1 B

Variable types

Categorical3
Text3
Numeric4

Dataset

Description노인요양 공동 생활가정 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0D30DI19G2VO3RZD53CH1646226&infSeq=1

Alerts

영업상태명 has constant value ""Constant
복지시설종류명 has constant value ""Constant
Dataset has 19 (1.2%) duplicate rowsDuplicates
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지도로명주소 has 887 (54.6%) missing valuesMissing
소재지우편번호 has 824 (50.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:29:55.377092
Analysis finished2023-12-10 22:29:57.991355
Duration2.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
부천시
191 
안산시
171 
고양시
162 
남양주시
128 
의정부시
117 
Other values (24)
857 

Length

Max length4
Median length3
Mean length3.1734317
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부천시 191
 
11.7%
안산시 171
 
10.5%
고양시 162
 
10.0%
남양주시 128
 
7.9%
의정부시 117
 
7.2%
시흥시 92
 
5.7%
용인시 85
 
5.2%
파주시 70
 
4.3%
김포시 64
 
3.9%
군포시 61
 
3.8%
Other values (19) 485
29.8%

Length

2023-12-11T07:29:58.071634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 191
 
11.7%
안산시 171
 
10.5%
고양시 162
 
10.0%
남양주시 128
 
7.9%
의정부시 117
 
7.2%
시흥시 92
 
5.7%
용인시 85
 
5.2%
파주시 70
 
4.3%
김포시 64
 
3.9%
군포시 61
 
3.8%
Other values (19) 485
29.8%

사업장명
Text

Distinct1235
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2023-12-11T07:29:58.344534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length7.7496925
Min length2

Characters and Unicode

Total characters12601
Distinct characters375
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)61.1%

Sample

1st row예수의 집
2nd row가평효사랑요양원
3rd row효전문요양원
4th row생명의 빛
5th row예수의 집
ValueCountFrequency (%)
요양원 47
 
2.3%
집 30
 
1.5%
노인요양공동생활가정 23
 
1.1%
2호 18
 
0.9%
1호 17
 
0.8%
우리요양원 14
 
0.7%
너싱홈 12
 
0.6%
2호점 12
 
0.6%
1호점 11
 
0.5%
늘푸른요양원 10
 
0.5%
Other values (1225) 1818
90.4%
2023-12-11T07:29:58.758288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 1120
 
8.9%
요 1083
 
8.6%
원 986
 
7.8%
386
 
3.1%
사 280
 
2.2%
호 260
 
2.1%
인 248
 
2.0%
노 248
 
2.0%
랑 248
 
2.0%
2 203
 
1.6%
Other values (365) 7539
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11470
91.0%
Decimal Number 448
 
3.6%
Space Separator 386
 
3.1%
Close Punctuation 104
 
0.8%
Open Punctuation 104
 
0.8%
Uppercase Letter 44
 
0.3%
Letter Number 17
 
0.1%
Dash Punctuation 14
 
0.1%
Lowercase Letter 6
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 1120
 
9.8%
요 1083
 
9.4%
원 986
 
8.6%
사 280
 
2.4%
호 260
 
2.3%
인 248
 
2.2%
노 248
 
2.2%
랑 248
 
2.2%
점 188
 
1.6%
실 187
 
1.6%
Other values (333) 6622
57.7%
Uppercase Letter
ValueCountFrequency (%)
A 9
20.5%
B 6
13.6%
I 4
9.1%
V 4
9.1%
P 4
9.1%
H 3
 
6.8%
O 3
 
6.8%
S 2
 
4.5%
M 2
 
4.5%
E 2
 
4.5%
Other values (5) 5
11.4%
Decimal Number
ValueCountFrequency (%)
2 203
45.3%
1 170
37.9%
3 52
 
11.6%
4 16
 
3.6%
0 5
 
1.1%
5 2
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
52.9%
Ⅰ 5
29.4%
Ⅲ 3
 
17.6%
Space Separator
ValueCountFrequency (%)
386
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Other Punctuation
ValueCountFrequency (%)
" 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11463
91.0%
Common 1064
 
8.4%
Latin 67
 
0.5%
Han 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 1120
 
9.8%
요 1083
 
9.4%
원 986
 
8.6%
사 280
 
2.4%
호 260
 
2.3%
인 248
 
2.2%
노 248
 
2.2%
랑 248
 
2.2%
점 188
 
1.6%
실 187
 
1.6%
Other values (330) 6615
57.7%
Latin
ValueCountFrequency (%)
A 9
13.4%
Ⅱ 9
13.4%
e 6
9.0%
B 6
9.0%
Ⅰ 5
 
7.5%
I 4
 
6.0%
V 4
 
6.0%
P 4
 
6.0%
H 3
 
4.5%
O 3
 
4.5%
Other values (9) 14
20.9%
Common
ValueCountFrequency (%)
386
36.3%
2 203
19.1%
1 170
16.0%
) 104
 
9.8%
( 104
 
9.8%
3 52
 
4.9%
4 16
 
1.5%
- 14
 
1.3%
0 5
 
0.5%
" 4
 
0.4%
Other values (3) 6
 
0.6%
Han
ValueCountFrequency (%)
孝 5
71.4%
休 1
 
14.3%
愛 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11462
91.0%
ASCII 1114
 
8.8%
Number Forms 17
 
0.1%
CJK 7
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 1120
 
9.8%
요 1083
 
9.4%
원 986
 
8.6%
사 280
 
2.4%
호 260
 
2.3%
인 248
 
2.2%
노 248
 
2.2%
랑 248
 
2.2%
점 188
 
1.6%
실 187
 
1.6%
Other values (329) 6614
57.7%
ASCII
ValueCountFrequency (%)
386
34.6%
2 203
18.2%
1 170
15.3%
) 104
 
9.3%
( 104
 
9.3%
3 52
 
4.7%
4 16
 
1.4%
- 14
 
1.3%
A 9
 
0.8%
e 6
 
0.5%
Other values (19) 50
 
4.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
52.9%
Ⅰ 5
29.4%
Ⅲ 3
 
17.6%
CJK
ValueCountFrequency (%)
孝 5
71.4%
休 1
 
14.3%
愛 1
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

인허가일자
Real number (ℝ)

Distinct937
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20117912
Minimum19570531
Maximum20170328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2023-12-11T07:29:58.907235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19570531
5-th percentile20080812
Q120100202
median20120116
Q320140428
95-th percentile20160810
Maximum20170328
Range599797
Interquartile range (IQR)40225.75

Descriptive statistics

Standard deviation29965.869
Coefficient of variation (CV)0.0014895119
Kurtosis67.226712
Mean20117912
Median Absolute Deviation (MAD)20285
Skewness-3.7343249
Sum3.2711725 × 1010
Variance8.9795333 × 108
MonotonicityNot monotonic
2023-12-11T07:29:59.075479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100301 43
 
2.6%
20130301 16
 
1.0%
20130401 11
 
0.7%
20091228 9
 
0.6%
20150601 9
 
0.6%
20160401 8
 
0.5%
20161201 7
 
0.4%
20120125 7
 
0.4%
20091217 7
 
0.4%
20120101 7
 
0.4%
Other values (927) 1502
92.4%
ValueCountFrequency (%)
19570531 1
0.1%
20031111 1
0.1%
20031211 1
0.1%
20040216 1
0.1%
20040430 1
0.1%
20050106 1
0.1%
20050304 1
0.1%
20050425 1
0.1%
20050428 1
0.1%
20050901 1
0.1%
ValueCountFrequency (%)
20170328 1
 
0.1%
20170327 1
 
0.1%
20170321 2
0.1%
20170302 1
 
0.1%
20170301 4
0.2%
20170223 1
 
0.1%
20170215 1
 
0.1%
20170208 1
 
0.1%
20170207 1
 
0.1%
20170203 3
0.2%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
운영중
1626 

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 1626
100.0%

Length

2023-12-11T07:29:59.214150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:29:59.304827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 1626
100.0%

복지시설종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
노인요양공동생활가정
1626 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인요양공동생활가정 1626
100.0%

Length

2023-12-11T07:29:59.408460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:29:59.504340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양공동생활가정 1626
100.0%

소재지도로명주소
Text

MISSING 

Distinct454
Distinct (%)61.4%
Missing887
Missing (%)54.6%
Memory size12.8 KiB
2023-12-11T07:29:59.758494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length19.602165
Min length13

Characters and Unicode

Total characters14486
Distinct characters236
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

Unique288 ?
Unique (%)39.0%

Sample

1st row경기도 가평군 가평읍 태봉안길 80-50
2nd row경기도 가평군 상면 기와집길 10
3rd row경기도 고양시 일산서구 대화1로 74
4th row경기도 고양시 일산서구 덕산로189번길 33-2
5th row경기도 고양시 일산동구 중산로 244
ValueCountFrequency (%)
경기도 739
 
21.8%
안산시 90
 
2.7%
고양시 83
 
2.4%
부천시 72
 
2.1%
의정부시 68
 
2.0%
상록구 56
 
1.7%
남양주시 54
 
1.6%
화성시 41
 
1.2%
덕양구 39
 
1.2%
시흥시 39
 
1.2%
Other values (798) 2107
62.2%
2023-12-11T07:30:00.224293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2649
18.3%
기 772
 
5.3%
시 769
 
5.3%
도 768
 
5.3%
경 767
 
5.3%
로 648
 
4.5%
1 595
 
4.1%
2 368
 
2.5%
3 334
 
2.3%
길 318
 
2.2%
Other values (226) 6498
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8866
61.2%
Decimal Number 2773
 
19.1%
Space Separator 2649
 
18.3%
Dash Punctuation 198
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 772
 
8.7%
시 769
 
8.7%
도 768
 
8.7%
경 767
 
8.7%
로 648
 
7.3%
길 318
 
3.6%
구 279
 
3.1%
양 232
 
2.6%
번 212
 
2.4%
산 199
 
2.2%
Other values (214) 3902
44.0%
Decimal Number
ValueCountFrequency (%)
1 595
21.5%
2 368
13.3%
3 334
12.0%
6 258
9.3%
4 252
9.1%
8 215
 
7.8%
5 205
 
7.4%
7 203
 
7.3%
0 185
 
6.7%
9 158
 
5.7%
Space Separator
ValueCountFrequency (%)
2649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8866
61.2%
Common 5620
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 772
 
8.7%
시 769
 
8.7%
도 768
 
8.7%
경 767
 
8.7%
로 648
 
7.3%
길 318
 
3.6%
구 279
 
3.1%
양 232
 
2.6%
번 212
 
2.4%
산 199
 
2.2%
Other values (214) 3902
44.0%
Common
ValueCountFrequency (%)
2649
47.1%
1 595
 
10.6%
2 368
 
6.5%
3 334
 
5.9%
6 258
 
4.6%
4 252
 
4.5%
8 215
 
3.8%
5 205
 
3.6%
7 203
 
3.6%
- 198
 
3.5%
Other values (2) 343
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8866
61.2%
ASCII 5620
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2649
47.1%
1 595
 
10.6%
2 368
 
6.5%
3 334
 
5.9%
6 258
 
4.6%
4 252
 
4.5%
8 215
 
3.8%
5 205
 
3.6%
7 203
 
3.6%
- 198
 
3.5%
Other values (2) 343
 
6.1%
Hangul
ValueCountFrequency (%)
기 772
 
8.7%
시 769
 
8.7%
도 768
 
8.7%
경 767
 
8.7%
로 648
 
7.3%
길 318
 
3.6%
구 279
 
3.1%
양 232
 
2.6%
번 212
 
2.4%
산 199
 
2.2%
Other values (214) 3902
44.0%

소재지지번주소
Text

Distinct747
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2023-12-11T07:30:00.576646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length16.845633
Min length7

Characters and Unicode

Total characters27391
Distinct characters219
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

Unique452 ?
Unique (%)27.8%

Sample

1st row경기도 가평군 가평읍 하색리 630번지
2nd row경기도 가평군 가평읍
3rd row경기도 가평군 가평읍 승안리 -61번지
4th row경기도 가평군 상면 연하리 179-8번지
5th row경기도 가평군 가평읍
ValueCountFrequency (%)
경기도 1626
25.2%
부천시 191
 
3.0%
안산시 171
 
2.6%
고양시 162
 
2.5%
남양주시 128
 
2.0%
의정부시 117
 
1.8%
상록구 106
 
1.6%
시흥시 92
 
1.4%
용인시 85
 
1.3%
덕양구 82
 
1.3%
Other values (946) 3694
57.2%
2023-12-11T07:30:01.069562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4828
17.6%
도 1689
 
6.2%
시 1680
 
6.1%
기 1675
 
6.1%
경 1626
 
5.9%
동 1368
 
5.0%
지 866
 
3.2%
번 771
 
2.8%
- 627
 
2.3%
1 622
 
2.3%
Other values (209) 11639
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18828
68.7%
Space Separator 4828
 
17.6%
Decimal Number 3108
 
11.3%
Dash Punctuation 627
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1689
 
9.0%
시 1680
 
8.9%
기 1675
 
8.9%
경 1626
 
8.6%
동 1368
 
7.3%
지 866
 
4.6%
번 771
 
4.1%
구 550
 
2.9%
양 532
 
2.8%
산 404
 
2.1%
Other values (197) 7667
40.7%
Decimal Number
ValueCountFrequency (%)
1 622
20.0%
3 364
11.7%
2 333
10.7%
4 333
10.7%
5 317
10.2%
7 312
10.0%
6 270
8.7%
8 211
 
6.8%
9 185
 
6.0%
0 161
 
5.2%
Space Separator
ValueCountFrequency (%)
4828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 627
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18828
68.7%
Common 8563
31.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1689
 
9.0%
시 1680
 
8.9%
기 1675
 
8.9%
경 1626
 
8.6%
동 1368
 
7.3%
지 866
 
4.6%
번 771
 
4.1%
구 550
 
2.9%
양 532
 
2.8%
산 404
 
2.1%
Other values (197) 7667
40.7%
Common
ValueCountFrequency (%)
4828
56.4%
- 627
 
7.3%
1 622
 
7.3%
3 364
 
4.3%
2 333
 
3.9%
4 333
 
3.9%
5 317
 
3.7%
7 312
 
3.6%
6 270
 
3.2%
8 211
 
2.5%
Other values (2) 346
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18828
68.7%
ASCII 8563
31.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4828
56.4%
- 627
 
7.3%
1 622
 
7.3%
3 364
 
4.3%
2 333
 
3.9%
4 333
 
3.9%
5 317
 
3.7%
7 312
 
3.6%
6 270
 
3.2%
8 211
 
2.5%
Other values (2) 346
 
4.0%
Hangul
ValueCountFrequency (%)
도 1689
 
9.0%
시 1680
 
8.9%
기 1675
 
8.9%
경 1626
 
8.6%
동 1368
 
7.3%
지 866
 
4.6%
번 771
 
4.1%
구 550
 
2.9%
양 532
 
2.8%
산 404
 
2.1%
Other values (197) 7667
40.7%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct401
Distinct (%)50.0%
Missing824
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean13481.691
Minimum10008
Maximum18630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2023-12-11T07:30:01.472054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10008
5-th percentile10254.05
Q111312.25
median12935
Q315445
95-th percentile18277.8
Maximum18630
Range8622
Interquartile range (IQR)4132.75

Descriptive statistics

Standard deviation2536.4311
Coefficient of variation (CV)0.18813894
Kurtosis-1.0351563
Mean13481.691
Median Absolute Deviation (MAD)1992.5
Skewness0.41109773
Sum10812316
Variance6433482.5
MonotonicityNot monotonic
2023-12-11T07:30:01.614895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10847 14
 
0.9%
12050 10
 
0.6%
15445 10
 
0.6%
11686 9
 
0.6%
14912 9
 
0.6%
12935 9
 
0.6%
10523 9
 
0.6%
10518 8
 
0.5%
11050 8
 
0.5%
12032 8
 
0.5%
Other values (391) 708
43.5%
(Missing) 824
50.7%
ValueCountFrequency (%)
10008 1
 
0.1%
10013 1
 
0.1%
10014 1
 
0.1%
10017 1
 
0.1%
10018 1
 
0.1%
10020 3
0.2%
10021 1
 
0.1%
10022 1
 
0.1%
10025 1
 
0.1%
10026 1
 
0.1%
ValueCountFrequency (%)
18630 1
 
0.1%
18626 2
0.1%
18625 1
 
0.1%
18589 2
0.1%
18585 3
0.2%
18583 1
 
0.1%
18575 2
0.1%
18570 1
 
0.1%
18566 2
0.1%
18562 2
0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct729
Distinct (%)44.9%
Missing3
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean37.530829
Minimum36.963386
Maximum38.092615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2023-12-11T07:30:01.749797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.963386
5-th percentile37.156081
Q137.34916
median37.504822
Q337.704398
95-th percentile37.89144
Maximum38.092615
Range1.1292289
Interquartile range (IQR)0.3552379

Descriptive statistics

Standard deviation0.22124209
Coefficient of variation (CV)0.0058949428
Kurtosis-0.50313498
Mean37.530829
Median Absolute Deviation (MAD)0.1828316
Skewness-0.058100972
Sum60912.536
Variance0.048948063
MonotonicityNot monotonic
2023-12-11T07:30:01.916376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4950073 45
 
2.8%
37.379504 29
 
1.8%
37.4567185 27
 
1.7%
37.6157552 23
 
1.4%
37.3047727 22
 
1.4%
37.4889571 18
 
1.1%
37.3097957 16
 
1.0%
37.4021547 13
 
0.8%
37.3491599 12
 
0.7%
37.5504162 12
 
0.7%
Other values (719) 1406
86.5%
ValueCountFrequency (%)
36.9633863 1
0.1%
36.9642433 1
0.1%
36.9751594 2
0.1%
36.9857149 1
0.1%
36.9937566 1
0.1%
36.9944196 1
0.1%
36.9974174 2
0.1%
37.0049963 1
0.1%
37.0099684 2
0.1%
37.0145383 1
0.1%
ValueCountFrequency (%)
38.0926152 1
 
0.1%
38.089498 1
 
0.1%
38.0775763 1
 
0.1%
38.0765206 3
0.2%
38.0705021 1
 
0.1%
38.0556451 2
0.1%
38.0545243 1
 
0.1%
38.0529567 1
 
0.1%
38.0473293 2
0.1%
38.0401407 1
 
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct729
Distinct (%)44.9%
Missing3
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean126.96822
Minimum126.53407
Maximum127.74409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2023-12-11T07:30:02.066353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53407
5-th percentile126.73196
Q1126.80221
median126.91297
Q3127.12629
95-th percentile127.31215
Maximum127.74409
Range1.210021
Interquartile range (IQR)0.3240842

Descriptive statistics

Standard deviation0.20528584
Coefficient of variation (CV)0.0016168286
Kurtosis0.00089629445
Mean126.96822
Median Absolute Deviation (MAD)0.1387822
Skewness0.65958541
Sum206069.41
Variance0.042142277
MonotonicityNot monotonic
2023-12-11T07:30:02.220713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7574183 45
 
2.8%
126.9422848 29
 
1.8%
126.80221 27
 
1.7%
126.8332252 23
 
1.4%
126.8375132 22
 
1.4%
126.7777683 18
 
1.1%
126.7945922 16
 
1.0%
126.9129697 13
 
0.8%
126.8463884 12
 
0.7%
127.2118393 12
 
0.7%
Other values (719) 1406
86.5%
ValueCountFrequency (%)
126.5340661 1
0.1%
126.5405419 2
0.1%
126.5427613 1
0.1%
126.5496194 1
0.1%
126.5501791 1
0.1%
126.5541424 1
0.1%
126.5579011 2
0.1%
126.5642604 1
0.1%
126.5669253 1
0.1%
126.5701745 1
0.1%
ValueCountFrequency (%)
127.7440871 1
0.1%
127.7230807 2
0.1%
127.6956308 1
0.1%
127.6886761 1
0.1%
127.6578028 1
0.1%
127.6104462 1
0.1%
127.6083029 1
0.1%
127.6031996 1
0.1%
127.588762 1
0.1%
127.5815347 1
0.1%

Interactions

2023-12-11T07:29:57.196078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:55.994977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.388535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.749635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:57.311107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.104450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.473358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.843663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:57.406254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.211018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.566091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.955012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:57.499581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.300255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:56.656801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:29:57.073015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:30:02.332769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인허가일자소재지우편번호WGS84위도WGS84경도
시군명1.0000.2950.9860.9550.938
인허가일자0.2951.0000.1800.1240.225
소재지우편번호0.9860.1801.0000.9240.828
WGS84위도0.9550.1240.9241.0000.658
WGS84경도0.9380.2250.8280.6581.000
2023-12-11T07:30:02.462768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자소재지우편번호WGS84위도WGS84경도시군명
인허가일자1.0000.0230.0350.0140.110
소재지우편번호0.0231.000-0.8720.1830.887
WGS84위도0.035-0.8721.0000.0180.750
WGS84경도0.0140.1830.0181.0000.694
시군명0.1100.8870.7500.6941.000

Missing values

2023-12-11T07:29:57.649914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:29:57.813862image/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.
2023-12-11T07:29:57.929239image/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

시군명사업장명인허가일자영업상태명복지시설종류명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군예수의 집20061113운영중노인요양공동생활가정경기도 가평군 가평읍 태봉안길 80-50경기도 가평군 가평읍 하색리 630번지1242437.809209127.483026
1가평군가평효사랑요양원20140404운영중노인요양공동생활가정<NA>경기도 가평군 가평읍<NA>37.847701127.452156
2가평군효전문요양원20100301운영중노인요양공동생활가정<NA>경기도 가평군 가평읍 승안리 -61번지1240837.839375127.501909
3가평군생명의 빛20101206운영중노인요양공동생활가정경기도 가평군 상면 기와집길 10경기도 가평군 상면 연하리 179-8번지1244437.805371127.355619
4가평군예수의 집20130708운영중노인요양공동생활가정<NA>경기도 가평군 가평읍<NA>37.847701127.452156
5고양시효성요양원20110928운영중노인요양공동생활가정경기도 고양시 일산서구 대화1로 74경기도 고양시 일산서구 대화동 751-10번지1021837.671243126.734748
6고양시가나안의집20110922운영중노인요양공동생활가정경기도 고양시 일산서구 덕산로189번길 33-2경기도 고양시 일산서구 가좌동 495-29번지1020537.695793126.7223
7고양시행복한동행요양원20110429운영중노인요양공동생활가정경기도 고양시 일산동구 중산로 244경기도 고양시 일산동구 중산동 1569-3번지1033137.69371126.780847
8고양시푸른숲20101104운영중노인요양공동생활가정경기도 고양시 일산동구 중산로 234경기도 고양시 일산동구 중산동 1570-5번지1033337.692764126.780657
9고양시고운빛요양원20101014운영중노인요양공동생활가정경기도 고양시 일산동구 중산로 234경기도 고양시 일산동구 중산동 1570-5번지1033337.692764126.780657
시군명사업장명인허가일자영업상태명복지시설종류명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
1616화성시그린너싱홈20160302운영중노인요양공동생활가정<NA>경기도 화성시 향남읍 동오리<NA>37.137704126.944268
1617화성시화성너싱홈20160201운영중노인요양공동생활가정<NA>경기도 화성시 남양읍<NA><NA><NA>
1618화성시화성에덴의집20150102운영중노인요양공동생활가정<NA>경기도 화성시 향남읍<NA>37.126998126.939448
1619화성시장수HOME(홈)20141028운영중노인요양공동생활가정<NA>경기도 화성시 활초동<NA><NA><NA>
1620화성시로뎀나무20141007운영중노인요양공동생활가정경기도 화성시 비봉면 미륵골로 88경기도 화성시 비봉면 양노리 356-1번지1828437.228045126.868657
1621화성시천문노인쉼터20140206운영중노인요양공동생활가정<NA>경기도 화성시 송산면 고정리<NA>37.286692126.73958
1622화성시소망의동산 샬롬20130501운영중노인요양공동생활가정<NA>경기도 화성시 봉담읍<NA>37.206605126.939945
1623화성시샬롬노인요양원20120203운영중노인요양공동생활가정<NA>경기도 화성시 팔탄면 서근리<NA>37.132814126.846925
1624화성시사랑요양원20110817운영중노인요양공동생활가정경기도 화성시 효행로 1021경기도 화성시 진안동 873-12번지1839937.212996127.039034
1625화성시사랑요양원20110811운영중노인요양공동생활가정경기도 화성시 효행로 1021경기도 화성시 진안동 873-12번지1839937.212996127.039034

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태명복지시설종류명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도# duplicates
6안산시에덴요양원120120101운영중노인요양공동생활가정<NA>경기도 안산시 단원구 초지동<NA>37.309796126.7945923
11용인시보림요양원(사랑)20130801운영중노인요양공동생활가정<NA>경기도 용인시 수지구 동천동<NA>37.345028127.0833033
0고양시카네이션 중산점20090522운영중노인요양공동생활가정경기도 고양시 일산동구 중산로 241경기도 고양시 일산동구 중산동 1561-1번지1033637.693655126.7802692
1광명시다사랑요양원20100721운영중노인요양공동생활가정경기도 광명시 광명로 823경기도 광명시 광명동 346-46번지1429437.472874126.8509352
2군포시고수련요양원 대야미역점20100322운영중노인요양공동생활가정<NA>경기도 군포시 대야미동<NA>37.334527126.904522
3김포시김포엔젤120160429운영중노인요양공동생활가정<NA>경기도 김포시 북변동<NA>37.637718126.7116882
4남양주시아름다운요양원20100127운영중노인요양공동생활가정경기도 남양주시 늘을1로 135경기도 남양주시 호평동 446번지1214237.662166127.243752
5남양주시행복한요양원20120203운영중노인요양공동생활가정경기도 남양주시 늘을1로 135경기도 남양주시 호평동 446번지1214237.662166127.243752
7안산시효사랑복지요양원120130401운영중노인요양공동생활가정<NA>경기도 안산시 상록구 사동<NA>37.304773126.8375132
8양주시양주실버홈20110919운영중노인요양공동생활가정<NA>경기도 양주시 고암동 582번지1145337.834616127.0756182