Overview

Dataset statistics

Number of variables12
Number of observations148
Missing cells4
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.9 KiB
Average record size in memory102.9 B

Variable types

Categorical3
Text4
Numeric4
DateTime1

Dataset

Description경기도 장애인 공동생활가정 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=P74US9QJA8SIF7XKGWLP31398097&infSeq=1

Alerts

입소자정원수 is highly overall correlated with 입소자현원수High correlation
입소자현원수 is highly overall correlated with 입소자정원수High correlation
정제WGS84위도 is highly overall correlated with 시군명High correlation
정제WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
종사자정원수 is highly overall correlated with 종사자현원수High correlation
종사자현원수 is highly overall correlated with 종사자정원수High correlation
정제WGS84위도 has 2 (1.4%) missing valuesMissing
정제WGS84경도 has 2 (1.4%) missing valuesMissing

Reproduction

Analysis started2024-04-11 02:45:09.955926
Analysis finished2024-04-11 02:45:15.069615
Duration5.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
화성시
17 
안성시
15 
성남시
13 
안산시
12 
용인시
10 
Other values (19)
81 

Length

Max length4
Median length3
Mean length3.027027
Min length3

Unique

Unique4 ?
Unique (%)2.7%

Sample

1st row성남시
2nd row성남시
3rd row성남시
4th row성남시
5th row수원시

Common Values

ValueCountFrequency (%)
화성시 17
11.5%
안성시 15
 
10.1%
성남시 13
 
8.8%
안산시 12
 
8.1%
용인시 10
 
6.8%
고양시 10
 
6.8%
수원시 10
 
6.8%
양평군 8
 
5.4%
시흥시 8
 
5.4%
광주시 6
 
4.1%
Other values (14) 39
26.4%

Length

2024-04-11T11:45:15.159918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 17
11.5%
안성시 15
 
10.1%
성남시 13
 
8.8%
안산시 12
 
8.1%
용인시 10
 
6.8%
고양시 10
 
6.8%
수원시 10
 
6.8%
양평군 8
 
5.4%
시흥시 8
 
5.4%
광주시 6
 
4.1%
Other values (14) 39
26.4%

시설명
Text

Distinct146
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-11T11:45:15.437248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13.5
Mean length6.5608108
Min length1

Characters and Unicode

Total characters971
Distinct characters185
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)97.3%

Sample

1st row파란하늘
2nd row푸른초원
3rd row한결이네집
4th row해피빌
5th row니도그룹홈
ValueCountFrequency (%)
집 6
 
3.6%
자오쉼터 4
 
2.4%
우리집 2
 
1.2%
사랑의집 2
 
1.2%
성진그룹홈 2
 
1.2%
장애인공동생활가정 2
 
1.2%
혜림그룹홈1호(공동생활가정)남 1
 
0.6%
천사의 1
 
0.6%
가온의 1
 
0.6%
쉴만한물가 1
 
0.6%
Other values (143) 143
86.7%
2024-04-11T11:45:15.908434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 38
 
3.9%
홈 34
 
3.5%
가 34
 
3.5%
동 32
 
3.3%
의 31
 
3.2%
그 31
 
3.2%
정 30
 
3.1%
공 30
 
3.1%
룹 29
 
3.0%
활 29
 
3.0%
Other values (175) 653
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 906
93.3%
Space Separator 17
 
1.8%
Decimal Number 15
 
1.5%
Uppercase Letter 9
 
0.9%
Open Punctuation 8
 
0.8%
Dash Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 38
 
4.2%
홈 34
 
3.8%
가 34
 
3.8%
동 32
 
3.5%
의 31
 
3.4%
그 31
 
3.4%
정 30
 
3.3%
공 30
 
3.3%
룹 29
 
3.2%
활 29
 
3.2%
Other values (162) 588
64.9%
Decimal Number
ValueCountFrequency (%)
2 6
40.0%
1 5
33.3%
3 2
 
13.3%
4 1
 
6.7%
5 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
A 3
33.3%
C 2
22.2%
D 1
 
11.1%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 906
93.3%
Common 56
 
5.8%
Latin 9
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 38
 
4.2%
홈 34
 
3.8%
가 34
 
3.8%
동 32
 
3.5%
의 31
 
3.4%
그 31
 
3.4%
정 30
 
3.3%
공 30
 
3.3%
룹 29
 
3.2%
활 29
 
3.2%
Other values (162) 588
64.9%
Common
ValueCountFrequency (%)
17
30.4%
( 8
14.3%
- 8
14.3%
) 8
14.3%
2 6
 
10.7%
1 5
 
8.9%
3 2
 
3.6%
4 1
 
1.8%
5 1
 
1.8%
Latin
ValueCountFrequency (%)
B 3
33.3%
A 3
33.3%
C 2
22.2%
D 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 906
93.3%
ASCII 65
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 38
 
4.2%
홈 34
 
3.8%
가 34
 
3.8%
동 32
 
3.5%
의 31
 
3.4%
그 31
 
3.4%
정 30
 
3.3%
공 30
 
3.3%
룹 29
 
3.2%
활 29
 
3.2%
Other values (162) 588
64.9%
ASCII
ValueCountFrequency (%)
17
26.2%
( 8
12.3%
- 8
12.3%
) 8
12.3%
2 6
 
9.2%
1 5
 
7.7%
B 3
 
4.6%
A 3
 
4.6%
C 2
 
3.1%
3 2
 
3.1%
Other values (3) 3
 
4.6%

입소자정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4797297
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-11T11:45:16.066196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q14
median4
Q34
95-th percentile8
Maximum12
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4308058
Coefficient of variation (CV)0.31939557
Kurtosis8.4674181
Mean4.4797297
Median Absolute Deviation (MAD)0
Skewness2.9794031
Sum663
Variance2.0472054
MonotonicityNot monotonic
2024-04-11T11:45:16.187085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 129
87.2%
8 9
 
6.1%
9 3
 
2.0%
5 2
 
1.4%
12 1
 
0.7%
7 1
 
0.7%
3 1
 
0.7%
10 1
 
0.7%
6 1
 
0.7%
ValueCountFrequency (%)
3 1
 
0.7%
4 129
87.2%
5 2
 
1.4%
6 1
 
0.7%
7 1
 
0.7%
8 9
 
6.1%
9 3
 
2.0%
10 1
 
0.7%
12 1
 
0.7%
ValueCountFrequency (%)
12 1
 
0.7%
10 1
 
0.7%
9 3
 
2.0%
8 9
 
6.1%
7 1
 
0.7%
6 1
 
0.7%
5 2
 
1.4%
4 129
87.2%
3 1
 
0.7%

입소자현원수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9054054
Minimum0
Maximum9
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-11T11:45:16.326691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q13
median4
Q34
95-th percentile6.65
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2362872
Coefficient of variation (CV)0.31655796
Kurtosis5.2193198
Mean3.9054054
Median Absolute Deviation (MAD)0
Skewness1.5834621
Sum578
Variance1.528406
MonotonicityNot monotonic
2024-04-11T11:45:16.459358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 84
56.8%
3 42
28.4%
8 5
 
3.4%
5 4
 
2.7%
2 4
 
2.7%
6 4
 
2.7%
7 2
 
1.4%
9 1
 
0.7%
1 1
 
0.7%
0 1
 
0.7%
ValueCountFrequency (%)
0 1
 
0.7%
1 1
 
0.7%
2 4
 
2.7%
3 42
28.4%
4 84
56.8%
5 4
 
2.7%
6 4
 
2.7%
7 2
 
1.4%
8 5
 
3.4%
9 1
 
0.7%
ValueCountFrequency (%)
9 1
 
0.7%
8 5
 
3.4%
7 2
 
1.4%
6 4
 
2.7%
5 4
 
2.7%
4 84
56.8%
3 42
28.4%
2 4
 
2.7%
1 1
 
0.7%
0 1
 
0.7%

종사자정원수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2
72 
1
57 
3
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 72
48.6%
1 57
38.5%
3 19
 
12.8%

Length

2024-04-11T11:45:16.609399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:45:16.769882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 72
48.6%
1 57
38.5%
3 19
 
12.8%

종사자현원수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
83 
2
50 
3
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 83
56.1%
2 50
33.8%
3 15
 
10.1%

Length

2024-04-11T11:45:16.900733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:45:17.034625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
56.1%
2 50
33.8%
3 15
 
10.1%

소재지주소
Text

Distinct124
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-11T11:45:17.328343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length21.506757
Min length14

Characters and Unicode

Total characters3183
Distinct characters191
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)75.0%

Sample

1st row경기도 성남시 중원구 도촌남로22
2nd row경기도 성남시 중원구 도촌북로 78
3rd row경기도 성남시 중원구 마지로 51
4th row경기도 성남시 순환로124번길28
5th row경기도 수원시 영통구 산남로29번길 7
ValueCountFrequency (%)
경기도 148
 
20.8%
화성시 17
 
2.4%
안성시 15
 
2.1%
성남시 12
 
1.7%
안산시 12
 
1.7%
고양시 10
 
1.4%
수원시 10
 
1.4%
용인시 10
 
1.4%
중원구 9
 
1.3%
상록구 9
 
1.3%
Other values (292) 460
64.6%
2024-04-11T11:45:17.836584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564
 
17.7%
도 166
 
5.2%
기 157
 
4.9%
1 156
 
4.9%
경 149
 
4.7%
시 148
 
4.6%
길 108
 
3.4%
로 103
 
3.2%
2 80
 
2.5%
3 61
 
1.9%
Other values (181) 1491
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1897
59.6%
Decimal Number 638
 
20.0%
Space Separator 564
 
17.7%
Dash Punctuation 58
 
1.8%
Other Punctuation 17
 
0.5%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 166
 
8.8%
기 157
 
8.3%
경 149
 
7.9%
시 148
 
7.8%
길 108
 
5.7%
로 103
 
5.4%
번 60
 
3.2%
구 58
 
3.1%
성 53
 
2.8%
안 45
 
2.4%
Other values (165) 850
44.8%
Decimal Number
ValueCountFrequency (%)
1 156
24.5%
2 80
12.5%
3 61
 
9.6%
7 60
 
9.4%
4 58
 
9.1%
5 55
 
8.6%
0 49
 
7.7%
6 43
 
6.7%
8 39
 
6.1%
9 37
 
5.8%
Space Separator
ValueCountFrequency (%)
564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1897
59.6%
Common 1285
40.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 166
 
8.8%
기 157
 
8.3%
경 149
 
7.9%
시 148
 
7.8%
길 108
 
5.7%
로 103
 
5.4%
번 60
 
3.2%
구 58
 
3.1%
성 53
 
2.8%
안 45
 
2.4%
Other values (165) 850
44.8%
Common
ValueCountFrequency (%)
564
43.9%
1 156
 
12.1%
2 80
 
6.2%
3 61
 
4.7%
7 60
 
4.7%
- 58
 
4.5%
4 58
 
4.5%
5 55
 
4.3%
0 49
 
3.8%
6 43
 
3.3%
Other values (5) 101
 
7.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1897
59.6%
ASCII 1286
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
564
43.9%
1 156
 
12.1%
2 80
 
6.2%
3 61
 
4.7%
7 60
 
4.7%
- 58
 
4.5%
4 58
 
4.5%
5 55
 
4.3%
0 49
 
3.8%
6 43
 
3.3%
Other values (6) 102
 
7.9%
Hangul
ValueCountFrequency (%)
도 166
 
8.8%
기 157
 
8.3%
경 149
 
7.9%
시 148
 
7.8%
길 108
 
5.7%
로 103
 
5.4%
번 60
 
3.2%
구 58
 
3.1%
성 53
 
2.8%
안 45
 
2.4%
Other values (165) 850
44.8%

전화번호
Text

Distinct128
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-11T11:45:18.138811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.040541
Min length12

Characters and Unicode

Total characters1782
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

Unique119 ?
Unique (%)80.4%

Sample

1st row031-604-9310
2nd row031-604-9090
3rd row031-753-5414
4th row031-731-3002
5th row031-213-1702
ValueCountFrequency (%)
031-356-1700 8
 
5.4%
031-356-8675 4
 
2.7%
031-656-6511 3
 
2.0%
031-431-7729 3
 
2.0%
031-672-9517 3
 
2.0%
031-775-0191 2
 
1.4%
031-771-0859 2
 
1.4%
031-416-9990 2
 
1.4%
031-431-7621 2
 
1.4%
032-322-3306 1
 
0.7%
Other values (118) 118
79.7%
2024-04-11T11:45:18.620631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 296
16.6%
3 255
14.3%
0 250
14.0%
1 245
13.7%
7 146
8.2%
5 128
7.2%
9 111
 
6.2%
6 110
 
6.2%
2 88
 
4.9%
4 82
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1486
83.4%
Dash Punctuation 296
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 255
17.2%
0 250
16.8%
1 245
16.5%
7 146
9.8%
5 128
8.6%
9 111
7.5%
6 110
7.4%
2 88
 
5.9%
4 82
 
5.5%
8 71
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1782
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 296
16.6%
3 255
14.3%
0 250
14.0%
1 245
13.7%
7 146
8.2%
5 128
7.2%
9 111
 
6.2%
6 110
 
6.2%
2 88
 
4.9%
4 82
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1782
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 296
16.6%
3 255
14.3%
0 250
14.0%
1 245
13.7%
7 146
8.2%
5 128
7.2%
9 111
 
6.2%
6 110
 
6.2%
2 88
 
4.9%
4 82
 
4.6%

설치신고일자
Date

Distinct132
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1997-02-01 00:00:00
Maximum2022-05-04 00:00:00
2024-04-11T11:45:18.812474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:18.997592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인명
Text

Distinct58
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-11T11:45:19.290407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.2567568
Min length2

Characters and Unicode

Total characters926
Distinct characters145
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 (%)22.3%

Sample

1st row말아톤복지재단
2nd row말아톤복지재단
3rd row한국장애인부모회
4th row양친사회복지회
5th row(재)아씨시의프란치스코전교수녀회
ValueCountFrequency (%)
개인 43
27.0%
천주교수원교구사회복지회 14
 
8.8%
사회복지법인 7
 
4.4%
백십자사 5
 
3.1%
한국장애인부모회 4
 
2.5%
해든솔 4
 
2.5%
평안밀알복지재단 3
 
1.9%
말아톤복지재단 3
 
1.9%
사회복지법인평안밀알복지재단 3
 
1.9%
바다의별 3
 
1.9%
Other values (51) 70
44.0%
2024-04-11T11:45:19.775335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 69
 
7.5%
회 68
 
7.3%
인 68
 
7.3%
복 62
 
6.7%
개 45
 
4.9%
사 36
 
3.9%
교 33
 
3.6%
재 31
 
3.3%
단 29
 
3.1%
원 23
 
2.5%
Other values (135) 462
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 909
98.2%
Space Separator 11
 
1.2%
Close Punctuation 3
 
0.3%
Open Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 69
 
7.6%
회 68
 
7.5%
인 68
 
7.5%
복 62
 
6.8%
개 45
 
5.0%
사 36
 
4.0%
교 33
 
3.6%
재 31
 
3.4%
단 29
 
3.2%
원 23
 
2.5%
Other values (131) 445
49.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 909
98.2%
Common 17
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 69
 
7.6%
회 68
 
7.5%
인 68
 
7.5%
복 62
 
6.8%
개 45
 
5.0%
사 36
 
4.0%
교 33
 
3.6%
재 31
 
3.4%
단 29
 
3.2%
원 23
 
2.5%
Other values (131) 445
49.0%
Common
ValueCountFrequency (%)
11
64.7%
) 3
 
17.6%
( 2
 
11.8%
. 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 909
98.2%
ASCII 17
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 69
 
7.6%
회 68
 
7.5%
인 68
 
7.5%
복 62
 
6.8%
개 45
 
5.0%
사 36
 
4.0%
교 33
 
3.6%
재 31
 
3.4%
단 29
 
3.2%
원 23
 
2.5%
Other values (131) 445
49.0%
ASCII
ValueCountFrequency (%)
11
64.7%
) 3
 
17.6%
( 2
 
11.8%
. 1
 
5.9%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct116
Distinct (%)79.5%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean37.374637
Minimum36.963272
Maximum37.99511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-11T11:45:20.366842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.963272
5-th percentile36.991541
Q137.253018
median37.34266
Q337.49617
95-th percentile37.845656
Maximum37.99511
Range1.0318377
Interquartile range (IQR)0.24315238

Descriptive statistics

Standard deviation0.23682211
Coefficient of variation (CV)0.006336439
Kurtosis-0.10889006
Mean37.374637
Median Absolute Deviation (MAD)0.13226805
Skewness0.43940376
Sum5456.697
Variance0.056084711
MonotonicityNot monotonic
2024-04-11T11:45:20.550116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1401969372 8
 
5.4%
37.1812843183 4
 
2.7%
37.2153357619 3
 
2.0%
36.9907417817 3
 
2.0%
37.3014531467 3
 
2.0%
37.342660191 3
 
2.0%
37.6856989044 2
 
1.4%
37.6994945787 2
 
1.4%
36.9636334838 2
 
1.4%
37.4684064145 2
 
1.4%
Other values (106) 114
77.0%
ValueCountFrequency (%)
36.9632723956 1
 
0.7%
36.9636334838 2
1.4%
36.988146681 1
 
0.7%
36.9907417817 3
2.0%
36.9913482925 1
 
0.7%
36.9921190213 1
 
0.7%
36.993920676 1
 
0.7%
36.995702269 1
 
0.7%
36.9970580152 1
 
0.7%
37.0081437968 1
 
0.7%
ValueCountFrequency (%)
37.9951100709 1
0.7%
37.9571048622 1
0.7%
37.9327747899 1
0.7%
37.9050478228 1
0.7%
37.8967736172 1
0.7%
37.8741306679 1
0.7%
37.8602002648 1
0.7%
37.8571538602 1
0.7%
37.8111630502 1
0.7%
37.7596826198 1
0.7%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct116
Distinct (%)79.5%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean127.0355
Minimum126.69024
Maximum127.71132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-11T11:45:20.734233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.69024
5-th percentile126.69406
Q1126.81858
median127.05438
Q3127.18171
95-th percentile127.48113
Maximum127.71132
Range1.021078
Interquartile range (IQR)0.36313609

Descriptive statistics

Standard deviation0.25455233
Coefficient of variation (CV)0.002003789
Kurtosis-0.3370164
Mean127.0355
Median Absolute Deviation (MAD)0.2018368
Skewness0.51582269
Sum18547.182
Variance0.064796887
MonotonicityNot monotonic
2024-04-11T11:45:20.948102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6940616658 8
 
5.4%
126.7323448133 4
 
2.7%
126.8525390582 3
 
2.0%
127.1578826451 3
 
2.0%
126.9802418443 3
 
2.0%
126.6906610664 3
 
2.0%
126.8185760643 2
 
1.4%
126.7640009338 2
 
1.4%
127.3545021022 2
 
1.4%
126.8034888771 2
 
1.4%
Other values (106) 114
77.0%
ValueCountFrequency (%)
126.6902440616 2
 
1.4%
126.6906610664 3
 
2.0%
126.6940616658 8
5.4%
126.7104039431 1
 
0.7%
126.7250395209 1
 
0.7%
126.7254721653 1
 
0.7%
126.7323448133 4
2.7%
126.7530277989 1
 
0.7%
126.7592395089 1
 
0.7%
126.7634008376 1
 
0.7%
ValueCountFrequency (%)
127.7113220569 2
1.4%
127.6612784671 1
0.7%
127.6265257941 1
0.7%
127.6220245535 2
1.4%
127.5248412887 1
0.7%
127.4915945211 1
0.7%
127.4497537415 1
0.7%
127.4486211836 1
0.7%
127.4204974378 1
0.7%
127.4061833025 1
0.7%

Interactions

2024-04-11T11:45:14.147352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:12.836541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.301680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.715173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:14.256467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:12.983103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.403138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.824999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:14.365968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.087940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.505935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.933791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:14.483834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.202910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:13.609146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:14.042563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:45:21.071104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명입소자정원수입소자현원수종사자정원수종사자현원수법인명정제WGS84위도정제WGS84경도
시군명1.0000.4470.2900.7540.6830.9560.9570.930
입소자정원수0.4471.0000.8080.0000.4970.0000.0000.434
입소자현원수0.2900.8081.0000.0000.2210.0000.1710.781
종사자정원수0.7540.0000.0001.0000.8640.8110.3860.316
종사자현원수0.6830.4970.2210.8641.0000.7360.3360.287
법인명0.9560.0000.0000.8110.7361.0000.8830.727
정제WGS84위도0.9570.0000.1710.3860.3360.8831.0000.716
정제WGS84경도0.9300.4340.7810.3160.2870.7270.7161.000
2024-04-11T11:45:21.211766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명종사자정원수종사자현원수
시군명1.0000.4520.385
종사자정원수0.4521.0000.555
종사자현원수0.3850.5551.000
2024-04-11T11:45:21.334652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소자정원수입소자현원수정제WGS84위도정제WGS84경도시군명종사자정원수종사자현원수
입소자정원수1.0000.569-0.0550.1710.1730.0000.246
입소자현원수0.5691.0000.0130.2550.0990.0000.130
정제WGS84위도-0.0550.0131.000-0.0060.7410.2440.208
정제WGS84경도0.1710.255-0.0061.0000.6550.1930.174
시군명0.1730.0990.7410.6551.0000.4520.385
종사자정원수0.0000.0000.2440.1930.4521.0000.555
종사자현원수0.2460.1300.2080.1740.3850.5551.000

Missing values

2024-04-11T11:45:14.645543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:45:14.859842image/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.
2024-04-11T11:45:15.004080image/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

시군명시설명입소자정원수입소자현원수종사자정원수종사자현원수소재지주소전화번호설치신고일자법인명정제WGS84위도정제WGS84경도
0성남시파란하늘4411경기도 성남시 중원구 도촌남로22031-604-93102014-09-30말아톤복지재단37.412958127.147417
1성남시푸른초원4411경기도 성남시 중원구 도촌북로 78031-604-90902012-10-23말아톤복지재단37.416133127.157483
2성남시한결이네집4411경기도 성남시 중원구 마지로 51031-753-54142009-02-10한국장애인부모회37.42856127.135375
3성남시해피빌4421경기도 성남시 순환로124번길28031-731-30022008-12-08양친사회복지회37.436001127.180531
4수원시니도그룹홈4422경기도 수원시 영통구 산남로29번길 7031-213-17022012-08-20(재)아씨시의프란치스코전교수녀회37.26575127.048552
5수원시몬띠의집4422경기도 수원시 장안구 정자로 19번길 18031-307-09852007-01-17바다의별37.301453126.980242
6수원시브솔그룹홈4421경기도 수원시 영통구 월드컵로 76, 8층070-7759-10882009-11-18브솔복지재단37.274367127.055708
7수원시양념정5322경기도 수원시 권선구 효탑로 16번길 98031-292-16252005-01-17개인37.268953126.979089
8수원시원천그룹홈4322경기도 수원시 권선구 동수원로 146번길 124031-217-65692019-10-01(재)아씨시의프란치스코전교수녀회37.245225127.034445
9시흥시그린장애인공동생활가정4311경기도 시흥시 신천로25번안길6-40507-1338-01652018-04-12개인37.432759126.789984
시군명시설명입소자정원수입소자현원수종사자정원수종사자현원수소재지주소전화번호설치신고일자법인명정제WGS84위도정제WGS84경도
138구리시구리은혜의집4422경기도 구리시 이문안로 136번길 14-9031-565-12222013-08-26한국장애인선교단체총연합회37.59044127.145732
139김포시밀알사랑터4422경기도 김포시 북변로 34, 107-401031-988-61352007-03-27세석밀알37.629836126.710404
140남양주시천사의 집8822경기도 남양주시 오남읍 진건오남로 735-17031-823-40042009-09-18개인37.694259127.209394
141부천시혜림그룹홈1호(공동생활가정)남4321경기도 부천시 성주로 66032-653-71801999-04-07백십자사37.479872126.763401
142부천시혜림그룹홈3호(공동생활가정)여4421경기도 부천시 소사로78번길 70032-345-98262002-07-24백십자사37.468406126.803489
143부천시혜림그룹홈5호(공동생활가정)남4321경기도 부천시 심중로114번가길 31032-661-03242009-08-01백십자사37.49461126.770858
144성남시기쁨의집4321경기도 수정구 희망로 466번길 23-12031-733-00822010-10-01할렐루야복지재단37.448084127.15667
145성남시무지개2호4421경기도 성남시 중원구 마지로 53031-759-79802012-09-12무지개동산37.42856127.135544
146성남시소망의집4421경기도 성남시 수정구 남문로 74번길 3031-733-19972001-10-12할렐루야복지재단37.446118127.135154
147성남시아름드리그룹홈4322경기도 성남시 중원구 둔춘대로363031-719-81422004-04-06청남재단37.433241127.157461