Overview

Dataset statistics

Number of variables10
Number of observations154
Missing cells34
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory83.9 B

Variable types

Categorical3
Text4
Numeric3

Dataset

Description산모 사회서비스 제공기관 현황
Author사회보장정보원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=CU863V2614IQQNM5BC3A21135849&infSeq=1

Alerts

사업구분명 has constant value ""Constant
서비스내용 has constant value ""Constant
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 10 (6.5%) missing valuesMissing
소재지우편번호 has 8 (5.2%) missing valuesMissing
WGS84위도 has 8 (5.2%) missing valuesMissing
WGS84경도 has 8 (5.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:39:27.738398
Analysis finished2023-12-10 21:39:29.480271
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
수원시
17 
고양시
13 
부천시
11 
용인시
10 
의정부시
10 
Other values (17)
93 

Length

Max length4
Median length3
Mean length3.1038961
Min length3

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row평택시
2nd row부천시
3rd row용인시
4th row화성시
5th row고양시

Common Values

ValueCountFrequency (%)
수원시 17
 
11.0%
고양시 13
 
8.4%
부천시 11
 
7.1%
용인시 10
 
6.5%
의정부시 10
 
6.5%
안양시 10
 
6.5%
성남시 10
 
6.5%
평택시 8
 
5.2%
안산시 8
 
5.2%
군포시 7
 
4.5%
Other values (12) 50
32.5%

Length

2023-12-11T06:39:29.567354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 17
 
11.0%
고양시 13
 
8.4%
부천시 11
 
7.1%
용인시 10
 
6.5%
의정부시 10
 
6.5%
안양시 10
 
6.5%
성남시 10
 
6.5%
평택시 8
 
5.2%
안산시 8
 
5.2%
군포시 7
 
4.5%
Other values (12) 50
32.5%

기관명
Text

Distinct122
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T06:39:29.787778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17.5
Mean length8.474026
Min length3

Characters and Unicode

Total characters1305
Distinct characters144
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)68.8%

Sample

1st row(주)에스엠천사 산모도우미
2nd row해피베이비산후관리센터
3rd row위드맘케어
4th row해피마미산모도우미
5th row웰빙산모
ValueCountFrequency (%)
참사랑어머니회 12
 
5.9%
산모피아 9
 
4.4%
ywca 8
 
3.9%
아이미래로 6
 
2.9%
산모도우미119 6
 
2.9%
에스엠천사 6
 
2.9%
위드맘케어 5
 
2.5%
닥터맘 5
 
2.5%
산후도우미 4
 
2.0%
맘스매니저 4
 
2.0%
Other values (119) 139
68.1%
2023-12-11T06:39:30.224835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 55
 
4.2%
50
 
3.8%
아 40
 
3.1%
맘 39
 
3.0%
미 37
 
2.8%
사 37
 
2.8%
피 34
 
2.6%
어 33
 
2.5%
모 31
 
2.4%
주 30
 
2.3%
Other values (134) 919
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1097
84.1%
Space Separator 50
 
3.8%
Uppercase Letter 41
 
3.1%
Other Punctuation 33
 
2.5%
Decimal Number 30
 
2.3%
Close Punctuation 22
 
1.7%
Open Punctuation 22
 
1.7%
Dash Punctuation 7
 
0.5%
Other Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 55
 
5.0%
아 40
 
3.6%
맘 39
 
3.6%
미 37
 
3.4%
사 37
 
3.4%
피 34
 
3.1%
어 33
 
3.0%
모 31
 
2.8%
주 30
 
2.7%
터 29
 
2.6%
Other values (117) 732
66.7%
Uppercase Letter
ValueCountFrequency (%)
A 10
24.4%
C 10
24.4%
Y 10
24.4%
W 9
22.0%
H 1
 
2.4%
M 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 26
78.8%
, 5
 
15.2%
. 1
 
3.0%
& 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 20
66.7%
9 10
33.3%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
84.3%
Common 164
 
12.6%
Latin 41
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 55
 
5.0%
아 40
 
3.6%
맘 39
 
3.5%
미 37
 
3.4%
사 37
 
3.4%
피 34
 
3.1%
어 33
 
3.0%
모 31
 
2.8%
주 30
 
2.7%
터 29
 
2.6%
Other values (118) 735
66.8%
Common
ValueCountFrequency (%)
50
30.5%
/ 26
15.9%
) 22
13.4%
( 22
13.4%
1 20
 
12.2%
9 10
 
6.1%
- 7
 
4.3%
, 5
 
3.0%
. 1
 
0.6%
& 1
 
0.6%
Latin
ValueCountFrequency (%)
A 10
24.4%
C 10
24.4%
Y 10
24.4%
W 9
22.0%
H 1
 
2.4%
M 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1097
84.1%
ASCII 205
 
15.7%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 55
 
5.0%
아 40
 
3.6%
맘 39
 
3.6%
미 37
 
3.4%
사 37
 
3.4%
피 34
 
3.1%
어 33
 
3.0%
모 31
 
2.8%
주 30
 
2.7%
터 29
 
2.6%
Other values (117) 732
66.7%
ASCII
ValueCountFrequency (%)
50
24.4%
/ 26
12.7%
) 22
10.7%
( 22
10.7%
1 20
 
9.8%
A 10
 
4.9%
C 10
 
4.9%
Y 10
 
4.9%
9 10
 
4.9%
W 9
 
4.4%
Other values (6) 16
 
7.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

사업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
산모·신생아
154 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산모·신생아
2nd row산모·신생아
3rd row산모·신생아
4th row산모·신생아
5th row산모·신생아

Common Values

ValueCountFrequency (%)
산모·신생아 154
100.0%

Length

2023-12-11T06:39:30.371125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:30.481937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산모·신생아 154
100.0%

서비스내용
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
산모신생아건강관리지원
154 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산모신생아건강관리지원 154
100.0%

Length

2023-12-11T06:39:30.601024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:30.726459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산모신생아건강관리지원 154
100.0%

전화번호
Text

Distinct149
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T06:39:31.028768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters1848
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

Unique145 ?
Unique (%)94.2%

Sample

1st row031-657-3514
2nd row032-675-3713
3rd row031-322-2838
4th row031-352-8663
5th row031-976-4588
ValueCountFrequency (%)
031-812-3456 3
 
1.9%
031-215-8031 2
 
1.3%
031-429-0979 2
 
1.3%
02-313-8017 2
 
1.3%
031-552-3579 1
 
0.6%
031-918-3519 1
 
0.6%
032-323-9408 1
 
0.6%
031-657-3514 1
 
0.6%
031-853-7325 1
 
0.6%
032-343-8070 1
 
0.6%
Other values (139) 139
90.3%
2023-12-11T06:39:31.546938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 308
16.7%
3 288
15.6%
1 241
13.0%
0 223
12.1%
5 164
8.9%
2 134
7.3%
9 118
 
6.4%
8 113
 
6.1%
7 105
 
5.7%
6 81
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1540
83.3%
Dash Punctuation 308
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 288
18.7%
1 241
15.6%
0 223
14.5%
5 164
10.6%
2 134
8.7%
9 118
7.7%
8 113
 
7.3%
7 105
 
6.8%
6 81
 
5.3%
4 73
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1848
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 308
16.7%
3 288
15.6%
1 241
13.0%
0 223
12.1%
5 164
8.9%
2 134
7.3%
9 118
 
6.4%
8 113
 
6.1%
7 105
 
5.7%
6 81
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 308
16.7%
3 288
15.6%
1 241
13.0%
0 223
12.1%
5 164
8.9%
2 134
7.3%
9 118
 
6.4%
8 113
 
6.1%
7 105
 
5.7%
6 81
 
4.4%

소재지지번주소
Text

Distinct150
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T06:39:31.872714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length28.954545
Min length15

Characters and Unicode

Total characters4459
Distinct characters232
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

Unique146 ?
Unique (%)94.8%

Sample

1st row경기도 평택시 서정동 887-4번지
2nd row경기도 부천시 오정동 569-8번지 1층
3rd row경기도 용인시 기흥구 보정동 1197-2번지 풍산프라자 803호
4th row경기도 화성시 정남면 발산리 490-12번지 동남훼미리아파트 105동 908호
5th row경기도 고양시 일산서구 일산동 962-6번지 4층 401호
ValueCountFrequency (%)
경기도 152
 
16.1%
수원시 19
 
2.0%
고양시 14
 
1.5%
부천시 11
 
1.2%
팔달구 10
 
1.1%
성남시 10
 
1.1%
2층 9
 
1.0%
용인시 9
 
1.0%
의정부시 9
 
1.0%
안양시 9
 
1.0%
Other values (463) 694
73.4%
2023-12-11T06:39:32.332154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
792
 
17.8%
동 171
 
3.8%
1 168
 
3.8%
시 163
 
3.7%
기 160
 
3.6%
경 155
 
3.5%
도 153
 
3.4%
지 147
 
3.3%
번 140
 
3.1%
0 132
 
3.0%
Other values (222) 2278
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2537
56.9%
Decimal Number 987
 
22.1%
Space Separator 792
 
17.8%
Dash Punctuation 105
 
2.4%
Uppercase Letter 17
 
0.4%
Other Punctuation 11
 
0.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 171
 
6.7%
시 163
 
6.4%
기 160
 
6.3%
경 155
 
6.1%
도 153
 
6.0%
지 147
 
5.8%
번 140
 
5.5%
호 99
 
3.9%
구 83
 
3.3%
양 47
 
1.9%
Other values (194) 1219
48.0%
Uppercase Letter
ValueCountFrequency (%)
A 5
29.4%
I 3
17.6%
V 1
 
5.9%
W 1
 
5.9%
C 1
 
5.9%
Y 1
 
5.9%
M 1
 
5.9%
E 1
 
5.9%
T 1
 
5.9%
S 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 168
17.0%
0 132
13.4%
2 122
12.4%
3 102
10.3%
4 100
10.1%
5 92
9.3%
6 83
8.4%
7 75
7.6%
8 69
7.0%
9 44
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
. 1
 
9.1%
? 1
 
9.1%
Space Separator
ValueCountFrequency (%)
792
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2537
56.9%
Common 1905
42.7%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 171
 
6.7%
시 163
 
6.4%
기 160
 
6.3%
경 155
 
6.1%
도 153
 
6.0%
지 147
 
5.8%
번 140
 
5.5%
호 99
 
3.9%
구 83
 
3.3%
양 47
 
1.9%
Other values (194) 1219
48.0%
Common
ValueCountFrequency (%)
792
41.6%
1 168
 
8.8%
0 132
 
6.9%
2 122
 
6.4%
- 105
 
5.5%
3 102
 
5.4%
4 100
 
5.2%
5 92
 
4.8%
6 83
 
4.4%
7 75
 
3.9%
Other values (7) 134
 
7.0%
Latin
ValueCountFrequency (%)
A 5
29.4%
I 3
17.6%
V 1
 
5.9%
W 1
 
5.9%
C 1
 
5.9%
Y 1
 
5.9%
M 1
 
5.9%
E 1
 
5.9%
T 1
 
5.9%
S 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2537
56.9%
ASCII 1922
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
792
41.2%
1 168
 
8.7%
0 132
 
6.9%
2 122
 
6.3%
- 105
 
5.5%
3 102
 
5.3%
4 100
 
5.2%
5 92
 
4.8%
6 83
 
4.3%
7 75
 
3.9%
Other values (18) 151
 
7.9%
Hangul
ValueCountFrequency (%)
동 171
 
6.7%
시 163
 
6.4%
기 160
 
6.3%
경 155
 
6.1%
도 153
 
6.0%
지 147
 
5.8%
번 140
 
5.5%
호 99
 
3.9%
구 83
 
3.3%
양 47
 
1.9%
Other values (194) 1219
48.0%

소재지도로명주소
Text

MISSING 

Distinct138
Distinct (%)95.8%
Missing10
Missing (%)6.5%
Memory size1.3 KiB
2023-12-11T06:39:32.581319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.104167
Min length13

Characters and Unicode

Total characters2751
Distinct characters153
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

Unique132 ?
Unique (%)91.7%

Sample

1st row경기도 평택시 점촌로 33
2nd row경기도 부천시 부천로460번길 57
3rd row경기도 용인시 기흥구 죽전로 17
4th row경기도 화성시 정남면 만년로 470
5th row경기도 고양시 일산서구 원일로 56
ValueCountFrequency (%)
경기도 142
 
21.8%
수원시 18
 
2.8%
고양시 12
 
1.8%
팔달구 10
 
1.5%
용인시 9
 
1.4%
의정부시 9
 
1.4%
안양시 9
 
1.4%
부천시 9
 
1.4%
성남시 8
 
1.2%
기흥구 8
 
1.2%
Other values (271) 417
64.1%
2023-12-11T06:39:32.988658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
507
18.4%
시 153
 
5.6%
경 152
 
5.5%
기 152
 
5.5%
도 144
 
5.2%
로 140
 
5.1%
1 105
 
3.8%
구 74
 
2.7%
2 72
 
2.6%
3 66
 
2.4%
Other values (143) 1186
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1709
62.1%
Decimal Number 515
 
18.7%
Space Separator 507
 
18.4%
Dash Punctuation 20
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 153
 
9.0%
경 152
 
8.9%
기 152
 
8.9%
도 144
 
8.4%
로 140
 
8.2%
구 74
 
4.3%
길 58
 
3.4%
번 54
 
3.2%
안 38
 
2.2%
원 38
 
2.2%
Other values (131) 706
41.3%
Decimal Number
ValueCountFrequency (%)
1 105
20.4%
2 72
14.0%
3 66
12.8%
6 50
9.7%
5 50
9.7%
4 41
 
8.0%
0 40
 
7.8%
7 34
 
6.6%
9 33
 
6.4%
8 24
 
4.7%
Space Separator
ValueCountFrequency (%)
507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1709
62.1%
Common 1042
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 153
 
9.0%
경 152
 
8.9%
기 152
 
8.9%
도 144
 
8.4%
로 140
 
8.2%
구 74
 
4.3%
길 58
 
3.4%
번 54
 
3.2%
안 38
 
2.2%
원 38
 
2.2%
Other values (131) 706
41.3%
Common
ValueCountFrequency (%)
507
48.7%
1 105
 
10.1%
2 72
 
6.9%
3 66
 
6.3%
6 50
 
4.8%
5 50
 
4.8%
4 41
 
3.9%
0 40
 
3.8%
7 34
 
3.3%
9 33
 
3.2%
Other values (2) 44
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1709
62.1%
ASCII 1042
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
507
48.7%
1 105
 
10.1%
2 72
 
6.9%
3 66
 
6.3%
6 50
 
4.8%
5 50
 
4.8%
4 41
 
3.9%
0 40
 
3.8%
7 34
 
3.3%
9 33
 
3.2%
Other values (2) 44
 
4.2%
Hangul
ValueCountFrequency (%)
시 153
 
9.0%
경 152
 
8.9%
기 152
 
8.9%
도 144
 
8.4%
로 140
 
8.2%
구 74
 
4.3%
길 58
 
3.4%
번 54
 
3.2%
안 38
 
2.2%
원 38
 
2.2%
Other values (131) 706
41.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct133
Distinct (%)91.1%
Missing8
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean14502.253
Minimum7622
Maximum23025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:39:33.124941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7622
5-th percentile10369.5
Q112155.5
median14634.5
Q316476.5
95-th percentile18141.75
Maximum23025
Range15403
Interquartile range (IQR)4321

Descriptive statistics

Standard deviation2610.2216
Coefficient of variation (CV)0.17998731
Kurtosis-0.32591128
Mean14502.253
Median Absolute Deviation (MAD)1889.5
Skewness-0.062679916
Sum2117329
Variance6813256.9
MonotonicityNot monotonic
2023-12-11T06:39:33.279907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10387 3
 
1.9%
15865 3
 
1.9%
11921 2
 
1.3%
16524 2
 
1.3%
14005 2
 
1.3%
17714 2
 
1.3%
16972 2
 
1.3%
13272 2
 
1.3%
15806 2
 
1.3%
10403 2
 
1.3%
Other values (123) 124
80.5%
(Missing) 8
 
5.2%
ValueCountFrequency (%)
7622 1
 
0.6%
10048 1
 
0.6%
10070 1
 
0.6%
10108 1
 
0.6%
10111 1
 
0.6%
10351 1
 
0.6%
10352 1
 
0.6%
10364 1
 
0.6%
10386 1
 
0.6%
10387 3
1.9%
ValueCountFrequency (%)
23025 1
0.6%
18537 1
0.6%
18518 1
0.6%
18412 1
0.6%
18411 1
0.6%
18401 1
0.6%
18400 1
0.6%
18143 1
0.6%
18138 1
0.6%
18137 1
0.6%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct140
Distinct (%)95.9%
Missing8
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean37.418881
Minimum36.987688
Maximum37.818117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:39:33.447959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.987688
5-th percentile37.113534
Q137.277204
median37.401787
Q337.596937
95-th percentile37.742199
Maximum37.818117
Range0.8304289
Interquartile range (IQR)0.3197334

Descriptive statistics

Standard deviation0.19305066
Coefficient of variation (CV)0.0051591778
Kurtosis-0.5523322
Mean37.418881
Median Absolute Deviation (MAD)0.12863315
Skewness0.038976147
Sum5463.1566
Variance0.037268558
MonotonicityNot monotonic
2023-12-11T06:39:33.616615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2799597 2
 
1.3%
37.2719565 2
 
1.3%
37.4006618 2
 
1.3%
37.3715823 2
 
1.3%
37.1041752 2
 
1.3%
37.4436934 2
 
1.3%
37.211329 1
 
0.6%
37.5425116 1
 
0.6%
37.663016 1
 
0.6%
37.5002891 1
 
0.6%
Other values (130) 130
84.4%
(Missing) 8
 
5.2%
ValueCountFrequency (%)
36.9876877 1
0.6%
36.9917707 1
0.6%
36.9918854 1
0.6%
36.9918871 1
0.6%
36.9931341 1
0.6%
37.0633423 1
0.6%
37.1041752 2
1.3%
37.1416107 1
0.6%
37.1464479 1
0.6%
37.1484505 1
0.6%
ValueCountFrequency (%)
37.8181166 1
0.6%
37.7597807 1
0.6%
37.7595388 1
0.6%
37.7503708 1
0.6%
37.7501768 1
0.6%
37.7498766 1
0.6%
37.7452117 1
0.6%
37.7422089 1
0.6%
37.742169 1
0.6%
37.7399029 1
0.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct140
Distinct (%)95.9%
Missing8
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean126.97449
Minimum126.49674
Maximum127.45166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:39:33.759361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.49674
5-th percentile126.75192
Q1126.8182
median127.01034
Q3127.10738
95-th percentile127.21772
Maximum127.45166
Range0.9549204
Interquartile range (IQR)0.28917397

Descriptive statistics

Standard deviation0.16814368
Coefficient of variation (CV)0.001324232
Kurtosis-0.243302
Mean126.97449
Median Absolute Deviation (MAD)0.12370855
Skewness-0.016605851
Sum18538.276
Variance0.028272298
MonotonicityNot monotonic
2023-12-11T06:39:33.894160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1129675 2
 
1.3%
127.0470558 2
 
1.3%
126.9167324 2
 
1.3%
126.9388705 2
 
1.3%
127.063889 2
 
1.3%
127.1526789 2
 
1.3%
127.0380643 1
 
0.6%
127.1978091 1
 
0.6%
126.7678256 1
 
0.6%
126.7764677 1
 
0.6%
Other values (130) 130
84.4%
(Missing) 8
 
5.2%
ValueCountFrequency (%)
126.4967363 1
0.6%
126.6255725 1
0.6%
126.6260461 1
0.6%
126.7180552 1
0.6%
126.721492 1
0.6%
126.7416146 1
0.6%
126.7470532 1
0.6%
126.7516891 1
0.6%
126.7526007 1
0.6%
126.7529678 1
0.6%
ValueCountFrequency (%)
127.4516567 1
0.6%
127.4480148 1
0.6%
127.2604446 1
0.6%
127.2596992 1
0.6%
127.2554254 1
0.6%
127.2548958 1
0.6%
127.2368896 1
0.6%
127.2197224 1
0.6%
127.2116947 1
0.6%
127.2003989 1
0.6%

Interactions

2023-12-11T06:39:28.794446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:28.163126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:28.514426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:28.907542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:28.251876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:28.619896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:29.002357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:28.342589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:28.717561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:39:33.979045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명소재지우편번호WGS84위도WGS84경도
시군명1.0000.9760.9660.944
소재지우편번호0.9761.0000.8670.809
WGS84위도0.9660.8671.0000.678
WGS84경도0.9440.8090.6781.000
2023-12-11T06:39:34.368057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.8970.1880.775
WGS84위도-0.8971.000-0.2510.784
WGS84경도0.188-0.2511.0000.721
시군명0.7750.7840.7211.000

Missing values

2023-12-11T06:39:29.131516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:39:29.288093image/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.
2023-12-11T06:39:29.404133image/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

시군명기관명사업구분명서비스내용전화번호소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도
0평택시(주)에스엠천사 산모도우미산모·신생아산모신생아건강관리지원031-657-3514경기도 평택시 서정동 887-4번지경기도 평택시 점촌로 331777737.063342127.057785
1부천시해피베이비산후관리센터산모·신생아산모신생아건강관리지원032-675-3713경기도 부천시 오정동 569-8번지 1층경기도 부천시 부천로460번길 571443837.525464126.786652
2용인시위드맘케어산모·신생아산모신생아건강관리지원031-322-2838경기도 용인시 기흥구 보정동 1197-2번지 풍산프라자 803호경기도 용인시 기흥구 죽전로 171689737.320679127.110714
3화성시해피마미산모도우미산모·신생아산모신생아건강관리지원031-352-8663경기도 화성시 정남면 발산리 490-12번지 동남훼미리아파트 105동 908호경기도 화성시 정남면 만년로 4701851837.161289126.985027
4고양시웰빙산모산모·신생아산모신생아건강관리지원031-976-4588경기도 고양시 일산서구 일산동 962-6번지 4층 401호경기도 고양시 일산서구 원일로 561035137.686713126.768522
5고양시아이미래로 일산덕양파주산모·신생아산모신생아건강관리지원031-921-5992경기도 고양시 일산동구 장항동 849번지 동양메이저타워 319호경기도 고양시 일산동구 중앙로 12271040337.655768126.774818
6군포시슈퍼맘 안양산모·신생아산모신생아건강관리지원031-391-3168경기도 군포시 산본동 82-13번지 더 블레싱 207호경기도 군포시 군포로761번길 681580637.371582126.93887
7안양시에스엠천사산모·신생아산모신생아건강관리지원031-398-3514경기도 안양시 만안구 안양동 534번지 안양동, 엘리제빌리지 321호경기도 안양시 만안구 안양로 1101403537.384725126.933733
8오산시아기와엄마나라 오산화성점산모·신생아산모신생아건강관리지원031-374-1240경기도 오산시 원동 346-11번지 호산프라자 606호경기도 오산시 오산로160번길 5-121814337.141611127.069862
9성남시위드맘케어산모·신생아산모신생아건강관리지원031-991-2832경기도 성남시 분당구 야탑동 537-4번지 우당프라자 지층경기도 성남시 분당구 야탑로 281352237.408553127.122045
시군명기관명사업구분명서비스내용전화번호소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도
144남양주시산모피아 남양주점산모·신생아산모신생아건강관리지원031-575-5821경기도 남양주시 퇴계원면 퇴계원리 221번지 상가나동 208호경기도 남양주시 퇴계원면 도제원로 191212337.650301127.14362
145광명시광명 YWCA산모·신생아산모신생아건강관리지원02-895-1966경기도 광명시 광명동 158-487번지경기도 광명시 오리로 9531426337.478351126.85704
146성남시산모도우미119산모·신생아산모신생아건강관리지원0303-758-3519경기도 성남시 중원구 성남동 3508번지 201호경기도 성남시 중원구 성남대로1130번길 111336637.430772127.130712
147의정부시참사랑어머니회 의정부지점산모·신생아산모신생아건강관리지원031-855-1588경기도 의정부시 신곡동 765번지 1호 금오종합상가 A동 903호경기도 의정부시 장곡로 6261177537.750371127.072177
148구리시산모도우미119남양주/구리점산모·신생아산모신생아건강관리지원031-568-3519경기도 구리시 수택동 527-34번지경기도 구리시 경춘로242번길 311192937.600422127.143764
149고양시산모피아 일산/김포/파주산모·신생아산모신생아건강관리지원031-814-3525경기도 고양시 일산동구 장항동 848번지 1호 현대타운빌 1015호경기도 고양시 일산동구 중앙로 12331040337.656407126.774465
150시흥시산모월드산모·신생아산모신생아건강관리지원031-313-5665경기도 시흥시 신천동 707번지경기도 시흥시 호현로 101491037.441603126.783605
151부천시에스엠천사 부천지사산모·신생아산모신생아건강관리지원032-348-3514경기도 부천시 역곡동 80-5 덕지빌딩 403-2호<NA><NA><NA><NA>
152고양시마터피아산모·신생아산모신생아건강관리지원02-706-8030서울특별시 강서구 공항동 70번지 6호 류빌딩 3층서울특별시 강서구 공항대로2길 22762237.560307126.808486
153오산시(주)동부케어산모·신생아산모신생아건강관리지원031-375-7507경기도 오산시 궐동 67-4번지 안국상가 102호경기도 오산시 오산로 3291811537.155975127.067139