Overview

Dataset statistics

Number of variables13
Number of observations179
Missing cells109
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.0 KiB
Average record size in memory108.7 B

Variable types

Text5
Categorical5
Numeric3

Dataset

Description시설명,시설코드,시설종류명(시설유형),시설종류상세명(시설종류),자치구(시)구분,시설장명,시군구코드,시군구명,시설주소,정원(수용인원),현인원,전화번호,우편번호
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20384/S/1/datasetView.do

Alerts

자치구(시)구분 has constant value ""Constant
시군구코드 has constant value ""Constant
시군구명 has constant value ""Constant
시설종류상세명(시설종류) is highly overall correlated with 정원(수용인원) and 1 other fieldsHigh correlation
시설종류명(시설유형) is highly overall correlated with 정원(수용인원) and 3 other fieldsHigh correlation
정원(수용인원) is highly overall correlated with 현인원 and 2 other fieldsHigh correlation
현인원 is highly overall correlated with 정원(수용인원) and 1 other fieldsHigh correlation
우편번호 is highly overall correlated with 시설종류명(시설유형)High correlation
정원(수용인원) has 42 (23.5%) missing valuesMissing
현인원 has 65 (36.3%) missing valuesMissing
시설코드 has unique valuesUnique
정원(수용인원) has 9 (5.0%) zerosZeros
현인원 has 3 (1.7%) zerosZeros

Reproduction

Analysis started2024-05-11 01:36:13.637291
Analysis finished2024-05-11 01:36:26.496101
Duration12.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct169
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T01:36:27.067694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length9.5307263
Min length3

Characters and Unicode

Total characters1706
Distinct characters249
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

Unique159 ?
Unique (%)88.8%

Sample

1st row성북구립 상월곡실버복지센터
2nd row길음노인복지센터
3rd row순애노인전문요양원
4th row일광노인요양센터
5th row성북구립 장위실버복지센터
ValueCountFrequency (%)
우리동네키움센터 12
 
5.1%
성북구립 6
 
2.5%
a 3
 
1.3%
돌곶이데이케어센터 2
 
0.8%
집 2
 
0.8%
성북데이케어센터 2
 
0.8%
지역아동센터 2
 
0.8%
성북센터 2
 
0.8%
성북 2
 
0.8%
방문요양 2
 
0.8%
Other values (190) 202
85.2%
2024-05-11T01:36:28.136222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 120
 
7.0%
센 113
 
6.6%
지 68
 
4.0%
58
 
3.4%
성 58
 
3.4%
동 50
 
2.9%
북 44
 
2.6%
복 41
 
2.4%
양 35
 
2.1%
아 34
 
2.0%
Other values (239) 1085
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1608
94.3%
Space Separator 58
 
3.4%
Decimal Number 20
 
1.2%
Math Symbol 7
 
0.4%
Uppercase Letter 5
 
0.3%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 120
 
7.5%
센 113
 
7.0%
지 68
 
4.2%
성 58
 
3.6%
동 50
 
3.1%
북 44
 
2.7%
복 41
 
2.5%
양 35
 
2.2%
아 34
 
2.1%
요 34
 
2.1%
Other values (219) 1011
62.9%
Decimal Number
ValueCountFrequency (%)
1 6
30.0%
5 3
15.0%
2 3
15.0%
0 2
 
10.0%
8 1
 
5.0%
4 1
 
5.0%
7 1
 
5.0%
6 1
 
5.0%
3 1
 
5.0%
9 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
< 3
42.9%
> 3
42.9%
+ 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
80.0%
T 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1608
94.3%
Common 91
 
5.3%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 120
 
7.5%
센 113
 
7.0%
지 68
 
4.2%
성 58
 
3.6%
동 50
 
3.1%
북 44
 
2.7%
복 41
 
2.5%
양 35
 
2.2%
아 34
 
2.1%
요 34
 
2.1%
Other values (219) 1011
62.9%
Common
ValueCountFrequency (%)
58
63.7%
1 6
 
6.6%
5 3
 
3.3%
< 3
 
3.3%
2 3
 
3.3%
> 3
 
3.3%
( 3
 
3.3%
) 3
 
3.3%
0 2
 
2.2%
8 1
 
1.1%
Other values (6) 6
 
6.6%
Latin
ValueCountFrequency (%)
A 4
57.1%
e 1
 
14.3%
h 1
 
14.3%
T 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1608
94.3%
ASCII 98
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 120
 
7.5%
센 113
 
7.0%
지 68
 
4.2%
성 58
 
3.6%
동 50
 
3.1%
북 44
 
2.7%
복 41
 
2.5%
양 35
 
2.2%
아 34
 
2.1%
요 34
 
2.1%
Other values (219) 1011
62.9%
ASCII
ValueCountFrequency (%)
58
59.2%
1 6
 
6.1%
A 4
 
4.1%
5 3
 
3.1%
< 3
 
3.1%
2 3
 
3.1%
> 3
 
3.1%
( 3
 
3.1%
) 3
 
3.1%
0 2
 
2.0%
Other values (10) 10
 
10.2%

시설코드
Text

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T01:36:29.215759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.0558659
Min length5

Characters and Unicode

Total characters905
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)100.0%

Sample

1st rowA0495
2nd rowA0789
3rd rowA1310
4th rowA2412
5th rowA2723
ValueCountFrequency (%)
a0495 1
 
0.6%
g3775 1
 
0.6%
k0278 1
 
0.6%
g8659 1
 
0.6%
g8977 1
 
0.6%
g9187 1
 
0.6%
g9404 1
 
0.6%
g9913 1
 
0.6%
j7298 1
 
0.6%
j8676 1
 
0.6%
Other values (169) 169
94.4%
2024-05-11T01:36:31.142091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 93
10.3%
0 92
10.2%
4 77
8.5%
7 74
8.2%
9 72
8.0%
2 70
 
7.7%
6 69
 
7.6%
5 63
 
7.0%
3 61
 
6.7%
8 55
 
6.1%
Other values (12) 179
19.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 726
80.2%
Uppercase Letter 179
 
19.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 40
22.3%
B 32
17.9%
K 26
14.5%
A 21
11.7%
P 19
10.6%
C 11
 
6.1%
Z 9
 
5.0%
F 7
 
3.9%
E 6
 
3.4%
W 4
 
2.2%
Other values (2) 4
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 93
12.8%
0 92
12.7%
4 77
10.6%
7 74
10.2%
9 72
9.9%
2 70
9.6%
6 69
9.5%
5 63
8.7%
3 61
8.4%
8 55
7.6%

Most occurring scripts

ValueCountFrequency (%)
Common 726
80.2%
Latin 179
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 40
22.3%
B 32
17.9%
K 26
14.5%
A 21
11.7%
P 19
10.6%
C 11
 
6.1%
Z 9
 
5.0%
F 7
 
3.9%
E 6
 
3.4%
W 4
 
2.2%
Other values (2) 4
 
2.2%
Common
ValueCountFrequency (%)
1 93
12.8%
0 92
12.7%
4 77
10.6%
7 74
10.2%
9 72
9.9%
2 70
9.6%
6 69
9.5%
5 63
8.7%
3 61
8.4%
8 55
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 93
10.3%
0 92
10.2%
4 77
8.5%
7 74
8.2%
9 72
8.0%
2 70
 
7.7%
6 69
 
7.6%
5 63
 
7.0%
3 61
 
6.7%
8 55
 
6.1%
Other values (12) 179
19.8%

시설종류명(시설유형)
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
(노인) 재가노인복지시설
49 
(아동) 지역아동센터
36 
(노인) 노인요양시설
20 
(다함께돌봄센터) 다함께돌봄센터
12 
(아동) 공동생활가정
10 
Other values (31)
52 

Length

Max length27
Median length25
Mean length12.849162
Min length9

Unique

Unique23 ?
Unique (%)12.8%

Sample

1st row(노인) 노인복지관(소규모)
2nd row(노인) 재가노인복지시설
3rd row(노인) 노인요양시설
4th row(노인) 노인요양시설
5th row(노인) 노인복지관(소규모)

Common Values

ValueCountFrequency (%)
(노인) 재가노인복지시설 49
27.4%
(아동) 지역아동센터 36
20.1%
(노인) 노인요양시설 20
11.2%
(다함께돌봄센터) 다함께돌봄센터 12
 
6.7%
(아동) 공동생활가정 10
 
5.6%
(노인) 노인요양공동생활가정 6
 
3.4%
(노인) 노인복지관(소규모) 5
 
2.8%
(일반) 사회복지관 5
 
2.8%
(노숙인등) 노숙인재활시설 4
 
2.2%
(장애인) 장애인보호작업장 3
 
1.7%
Other values (26) 29
16.2%

Length

2024-05-11T01:36:32.165047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인 84
23.5%
재가노인복지시설 49
13.7%
아동 48
13.4%
지역아동센터 36
10.1%
다함께돌봄센터 24
 
6.7%
노인요양시설 20
 
5.6%
장애인 11
 
3.1%
공동생활가정 10
 
2.8%
노인요양공동생활가정 6
 
1.7%
노숙인등 6
 
1.7%
Other values (39) 64
17.9%

시설종류상세명(시설종류)
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재가노인복지시설
49 
아동복지시설
48 
노인의료복지시설
26 
다함께돌봄센터
12 
노인여가복지시설
7 
Other values (16)
37 

Length

Max length11
Median length8
Mean length7.3575419
Min length4

Unique

Unique8 ?
Unique (%)4.5%

Sample

1st row노인여가복지시설
2nd row재가노인복지시설
3rd row노인의료복지시설
4th row노인의료복지시설
5th row노인여가복지시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 49
27.4%
아동복지시설 48
26.8%
노인의료복지시설 26
14.5%
다함께돌봄센터 12
 
6.7%
노인여가복지시설 7
 
3.9%
노숙인등생활시설 6
 
3.4%
장애인거주시설 5
 
2.8%
일반사회복지시설 5
 
2.8%
장애인지역사회재활시설 3
 
1.7%
정신재활시설 3
 
1.7%
Other values (11) 15
 
8.4%

Length

2024-05-11T01:36:32.841313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재가노인복지시설 49
27.4%
아동복지시설 48
26.8%
노인의료복지시설 26
14.5%
다함께돌봄센터 12
 
6.7%
노인여가복지시설 7
 
3.9%
노숙인등생활시설 6
 
3.4%
장애인거주시설 5
 
2.8%
일반사회복지시설 5
 
2.8%
정신재활시설 3
 
1.7%
장애인직업재활시설 3
 
1.7%
Other values (11) 15
 
8.4%

자치구(시)구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
자치구
179 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자치구 179
100.0%

Length

2024-05-11T01:36:33.510369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:36:33.988205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치구 179
100.0%

시설장명
Text

Distinct159
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T01:36:35.090098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9888268
Min length2

Characters and Unicode

Total characters535
Distinct characters117
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)78.2%

Sample

1st row김경회
2nd row장민균
3rd row마민주
4th row장성란
5th row김승현
ValueCountFrequency (%)
신운화 3
 
1.7%
서란 2
 
1.1%
이은성 2
 
1.1%
이정순 2
 
1.1%
안은주 2
 
1.1%
정유진 2
 
1.1%
김병래 2
 
1.1%
유채정 2
 
1.1%
조미옥 2
 
1.1%
이옥희 2
 
1.1%
Other values (149) 158
88.3%
2024-05-11T01:36:36.702913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 40
 
7.5%
이 38
 
7.1%
정 28
 
5.2%
은 19
 
3.6%
미 18
 
3.4%
현 15
 
2.8%
희 14
 
2.6%
영 13
 
2.4%
숙 13
 
2.4%
신 12
 
2.2%
Other values (107) 325
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 40
 
7.5%
이 38
 
7.1%
정 28
 
5.2%
은 19
 
3.6%
미 18
 
3.4%
현 15
 
2.8%
희 14
 
2.6%
영 13
 
2.4%
숙 13
 
2.4%
신 12
 
2.2%
Other values (107) 325
60.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 40
 
7.5%
이 38
 
7.1%
정 28
 
5.2%
은 19
 
3.6%
미 18
 
3.4%
현 15
 
2.8%
희 14
 
2.6%
영 13
 
2.4%
숙 13
 
2.4%
신 12
 
2.2%
Other values (107) 325
60.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 40
 
7.5%
이 38
 
7.1%
정 28
 
5.2%
은 19
 
3.6%
미 18
 
3.4%
현 15
 
2.8%
희 14
 
2.6%
영 13
 
2.4%
숙 13
 
2.4%
신 12
 
2.2%
Other values (107) 325
60.7%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1129000000
179 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1129000000
2nd row1129000000
3rd row1129000000
4th row1129000000
5th row1129000000

Common Values

ValueCountFrequency (%)
1129000000 179
100.0%

Length

2024-05-11T01:36:37.173890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:36:37.520428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1129000000 179
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
성북구
179 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북구 179
100.0%

Length

2024-05-11T01:36:37.848317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:36:38.176343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북구 179
100.0%

시설주소
Text

Distinct174
Distinct (%)97.8%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2024-05-11T01:36:38.929144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.157303
Min length16

Characters and Unicode

Total characters5190
Distinct characters165
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

Unique170 ?
Unique (%)95.5%

Sample

1st row서울특별시 성북구 화랑로18길 6 (상월곡동)
2nd row서울특별시 성북구 삼양로2길 55 (길음동)
3rd row경기 고양시 덕양구 고골길 178번길73(관산동)
4th row서울특별시 성북구 보문로31길 70 (삼선동3가)
5th row서울특별시 성북구 한천로 7083층 (장위동)
ValueCountFrequency (%)
성북구 176
 
18.2%
서울특별시 175
 
18.1%
정릉동 25
 
2.6%
2층 19
 
2.0%
장위동 17
 
1.8%
하월곡동 15
 
1.6%
종암동 13
 
1.3%
1층 12
 
1.2%
석관동 11
 
1.1%
화랑로 10
 
1.0%
Other values (361) 492
51.0%
2024-05-11T01:36:40.361044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
787
 
15.2%
북 198
 
3.8%
성 195
 
3.8%
1 194
 
3.7%
동 192
 
3.7%
로 181
 
3.5%
서 179
 
3.4%
시 179
 
3.4%
구 178
 
3.4%
울 175
 
3.4%
Other values (155) 2732
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3079
59.3%
Decimal Number 872
 
16.8%
Space Separator 789
 
15.2%
Open Punctuation 153
 
2.9%
Close Punctuation 153
 
2.9%
Other Punctuation 98
 
1.9%
Dash Punctuation 38
 
0.7%
Uppercase Letter 5
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 198
 
6.4%
성 195
 
6.3%
동 192
 
6.2%
로 181
 
5.9%
서 179
 
5.8%
시 179
 
5.8%
구 178
 
5.8%
울 175
 
5.7%
별 175
 
5.7%
특 175
 
5.7%
Other values (136) 1252
40.7%
Decimal Number
ValueCountFrequency (%)
1 194
22.2%
2 141
16.2%
3 97
11.1%
0 93
10.7%
4 88
10.1%
5 64
 
7.3%
6 56
 
6.4%
8 52
 
6.0%
7 47
 
5.4%
9 40
 
4.6%
Space Separator
ValueCountFrequency (%)
787
99.7%
　 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
A 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Other Punctuation
ValueCountFrequency (%)
, 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3079
59.3%
Common 2106
40.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 198
 
6.4%
성 195
 
6.3%
동 192
 
6.2%
로 181
 
5.9%
서 179
 
5.8%
시 179
 
5.8%
구 178
 
5.8%
울 175
 
5.7%
별 175
 
5.7%
특 175
 
5.7%
Other values (136) 1252
40.7%
Common
ValueCountFrequency (%)
787
37.4%
1 194
 
9.2%
( 153
 
7.3%
) 153
 
7.3%
2 141
 
6.7%
, 98
 
4.7%
3 97
 
4.6%
0 93
 
4.4%
4 88
 
4.2%
5 64
 
3.0%
Other values (7) 238
 
11.3%
Latin
ValueCountFrequency (%)
B 4
80.0%
A 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3079
59.3%
ASCII 2109
40.6%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
787
37.3%
1 194
 
9.2%
( 153
 
7.3%
) 153
 
7.3%
2 141
 
6.7%
, 98
 
4.6%
3 97
 
4.6%
0 93
 
4.4%
4 88
 
4.2%
5 64
 
3.0%
Other values (8) 241
 
11.4%
Hangul
ValueCountFrequency (%)
북 198
 
6.4%
성 195
 
6.3%
동 192
 
6.2%
로 181
 
5.9%
서 179
 
5.8%
시 179
 
5.8%
구 178
 
5.8%
울 175
 
5.7%
별 175
 
5.7%
특 175
 
5.7%
Other values (136) 1252
40.7%
None
ValueCountFrequency (%)
　 2
100.0%

정원(수용인원)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct49
Distinct (%)35.8%
Missing42
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean34.510949
Minimum0
Maximum478
Zeros9
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T01:36:41.079388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median27
Q338
95-th percentile91.2
Maximum478
Range478
Interquartile range (IQR)23

Descriptive statistics

Standard deviation50.698665
Coefficient of variation (CV)1.4690603
Kurtosis48.029147
Mean34.510949
Median Absolute Deviation (MAD)12
Skewness6.1924705
Sum4728
Variance2570.3547
MonotonicityNot monotonic
2024-05-11T01:36:41.590925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
7 10
 
5.6%
30 10
 
5.6%
19 9
 
5.0%
0 9
 
5.0%
9 6
 
3.4%
49 6
 
3.4%
20 6
 
3.4%
35 6
 
3.4%
29 6
 
3.4%
25 4
 
2.2%
Other values (39) 65
36.3%
(Missing) 42
23.5%
ValueCountFrequency (%)
0 9
5.0%
4 3
 
1.7%
6 3
 
1.7%
7 10
5.6%
8 1
 
0.6%
9 6
3.4%
10 2
 
1.1%
15 2
 
1.1%
17 3
 
1.7%
18 1
 
0.6%
ValueCountFrequency (%)
478 1
0.6%
300 1
0.6%
130 1
0.6%
120 1
0.6%
114 1
0.6%
110 1
0.6%
100 1
0.6%
89 1
0.6%
87 1
0.6%
70 1
0.6%

현인원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct65
Distinct (%)57.0%
Missing65
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean145.78947
Minimum0
Maximum6707
Zeros3
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T01:36:42.158949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110.5
median26.5
Q345
95-th percentile423.75
Maximum6707
Range6707
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation650.69589
Coefficient of variation (CV)4.463257
Kurtosis93.596112
Mean145.78947
Median Absolute Deviation (MAD)17.5
Skewness9.3379313
Sum16620
Variance423405.14
MonotonicityNot monotonic
2024-05-11T01:36:42.782400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 5
 
2.8%
3 5
 
2.8%
5 4
 
2.2%
19 4
 
2.2%
9 3
 
1.7%
4 3
 
1.7%
18 3
 
1.7%
250 3
 
1.7%
0 3
 
1.7%
15 3
 
1.7%
Other values (55) 78
43.6%
(Missing) 65
36.3%
ValueCountFrequency (%)
0 3
1.7%
1 1
 
0.6%
3 5
2.8%
4 3
1.7%
5 4
2.2%
6 5
2.8%
7 2
 
1.1%
8 1
 
0.6%
9 3
1.7%
10 2
 
1.1%
ValueCountFrequency (%)
6707 1
0.6%
1500 1
0.6%
900 1
0.6%
700 2
1.1%
505 1
0.6%
380 1
0.6%
350 1
0.6%
320 1
0.6%
299 1
0.6%
280 1
0.6%

전화번호
Text

Distinct172
Distinct (%)96.6%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2024-05-11T01:36:43.713590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.376404
Min length9

Characters and Unicode

Total characters1847
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)93.3%

Sample

1st row02-963-1082
2nd row02-989-0161
3rd row031-962-8360
4th row02-742-0755
5th row02-913-3369
ValueCountFrequency (%)
02-915-2335 2
 
1.1%
029213002 2
 
1.1%
0269598100 2
 
1.1%
02-926-2172 2
 
1.1%
0262433000 2
 
1.1%
029599998 2
 
1.1%
0236755878 1
 
0.6%
029112882 1
 
0.6%
070-7555-5796 1
 
0.6%
029241114 1
 
0.6%
Other values (162) 162
91.0%
2024-05-11T01:36:45.303304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 323
17.5%
0 314
17.0%
9 254
13.8%
- 203
11.0%
1 166
9.0%
3 127
 
6.9%
7 102
 
5.5%
6 96
 
5.2%
5 91
 
4.9%
8 87
 
4.7%
Other values (2) 84
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1643
89.0%
Dash Punctuation 203
 
11.0%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 323
19.7%
0 314
19.1%
9 254
15.5%
1 166
10.1%
3 127
 
7.7%
7 102
 
6.2%
6 96
 
5.8%
5 91
 
5.5%
8 87
 
5.3%
4 83
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1847
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 323
17.5%
0 314
17.0%
9 254
13.8%
- 203
11.0%
1 166
9.0%
3 127
 
6.9%
7 102
 
5.5%
6 96
 
5.2%
5 91
 
4.9%
8 87
 
4.7%
Other values (2) 84
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 323
17.5%
0 314
17.0%
9 254
13.8%
- 203
11.0%
1 166
9.0%
3 127
 
6.9%
7 102
 
5.5%
6 96
 
5.2%
5 91
 
4.9%
8 87
 
4.7%
Other values (2) 84
 
4.5%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17378.123
Minimum2705
Maximum467050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T01:36:45.782767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2705
5-th percentile2711
Q12748
median2797
Q32841
95-th percentile136600
Maximum467050
Range464345
Interquartile range (IQR)93

Descriptive statistics

Standard deviation51042.495
Coefficient of variation (CV)2.9371696
Kurtosis34.717781
Mean17378.123
Median Absolute Deviation (MAD)46
Skewness5.0200731
Sum3110684
Variance2.6053363 × 109
MonotonicityNot monotonic
2024-05-11T01:36:46.254443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136600 7
 
3.9%
2793 5
 
2.8%
2718 5
 
2.8%
2812 5
 
2.8%
2807 5
 
2.8%
2748 5
 
2.8%
2740 5
 
2.8%
2751 5
 
2.8%
2769 4
 
2.2%
2830 4
 
2.2%
Other values (82) 129
72.1%
ValueCountFrequency (%)
2705 2
 
1.1%
2708 3
1.7%
2710 2
 
1.1%
2711 3
1.7%
2716 1
 
0.6%
2717 3
1.7%
2718 5
2.8%
2720 1
 
0.6%
2721 3
1.7%
2723 1
 
0.6%
ValueCountFrequency (%)
467050 1
 
0.6%
136855 1
 
0.6%
136853 1
 
0.6%
136833 1
 
0.6%
136823 1
 
0.6%
136822 1
 
0.6%
136600 7
3.9%
136130 2
 
1.1%
136041 2
 
1.1%
10265 1
 
0.6%

Interactions

2024-05-11T01:36:23.972482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:21.702862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:23.104970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:24.307228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:22.455474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:23.396595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:24.658658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:22.814360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:36:23.659229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T01:36:46.594082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류명(시설유형)시설종류상세명(시설종류)정원(수용인원)현인원우편번호
시설종류명(시설유형)1.0001.0000.9270.9770.940
시설종류상세명(시설종류)1.0001.0000.8940.7210.000
정원(수용인원)0.9270.8941.0000.0000.112
현인원0.9770.7210.0001.0000.000
우편번호0.9400.0000.1120.0001.000
2024-05-11T01:36:47.134159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류상세명(시설종류)시설종류명(시설유형)
시설종류상세명(시설종류)1.0000.951
시설종류명(시설유형)0.9511.000
2024-05-11T01:36:47.523141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원(수용인원)현인원우편번호시설종류명(시설유형)시설종류상세명(시설종류)
정원(수용인원)1.0000.6820.1240.6780.686
현인원0.6821.0000.1240.7830.453
우편번호0.1240.1241.0000.6850.000
시설종류명(시설유형)0.6780.7830.6851.0000.951
시설종류상세명(시설종류)0.6860.4530.0000.9511.000

Missing values

2024-05-11T01:36:25.031218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T01:36:25.828173image/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.
2024-05-11T01:36:26.299142image/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

시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
0성북구립 상월곡실버복지센터A0495(노인) 노인복지관(소규모)노인여가복지시설자치구김경회1129000000성북구서울특별시 성북구 화랑로18길 6 (상월곡동)<NA>20002-963-10822793
1길음노인복지센터A0789(노인) 재가노인복지시설재가노인복지시설자치구장민균1129000000성북구서울특별시 성북구 삼양로2길 55 (길음동)171702-989-01612732
2순애노인전문요양원A1310(노인) 노인요양시설노인의료복지시설자치구마민주1129000000성북구경기 고양시 덕양구 고골길 178번길73(관산동)11480031-962-836010265
3일광노인요양센터A2412(노인) 노인요양시설노인의료복지시설자치구장성란1129000000성북구서울특별시 성북구 보문로31길 70 (삼선동3가)292402-742-07552863
4성북구립 장위실버복지센터A2723(노인) 노인복지관(소규모)노인여가복지시설자치구김승현1129000000성북구서울특별시 성북구 한천로 7083층 (장위동)<NA>25002-913-33692760
5시립성북노인종합복지관A2733(노인) 노인복지관노인여가복지시설자치구송향숙1129000000성북구서울특별시 성북구 종암로15길 10(종암동)<NA>150002-929-79502810
6시립성북노인종합복지관 주간보호센터A3223(노인) 재가노인복지시설재가노인복지시설자치구최유준1129000000성북구서울특별시 성북구 종암로21길 21-4 (종암동)211602-929-49562804
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