Overview

Dataset statistics

Number of variables7
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory60.1 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description성남시내 노인의료시설(노인요양시설 및 노인요양공동생활가정) 현황(종류,시설명,정원,소재지,전화번호,시설장 등)입니다.
URLhttps://www.data.go.kr/data/15032444/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
정원 is highly overall correlated with 종류High correlation
종류 is highly overall correlated with 정원High correlation
시설명 has unique valuesUnique
시설장 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:38:17.329434
Analysis finished2023-12-12 19:38:17.962289
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
노인요양시설
35 
노인요양공동생활가정
8 

Length

Max length10
Median length6
Mean length6.744186
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인요양시설 35
81.4%
노인요양공동생활가정 8
 
18.6%

Length

2023-12-13T04:38:18.039438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:38:18.154858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양시설 35
81.4%
노인요양공동생활가정 8
 
18.6%

시설명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T04:38:18.347018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.0232558
Min length3

Characters and Unicode

Total characters345
Distinct characters108
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowYWCA 은학의 집
2nd row가천효요양원
3rd row고운손요양원
4th row괜찮은 요양원
5th row노블레스요양원
ValueCountFrequency (%)
참사랑 3
 
4.9%
요양원 3
 
4.9%
분당 3
 
4.9%
성남 2
 
3.3%
천상의집 2
 
3.3%
2호 2
 
3.3%
헤리티지너싱홈요양원 1
 
1.6%
인보의집소규모요양시설 1
 
1.6%
일정요양원 1
 
1.6%
자광원 1
 
1.6%
Other values (42) 42
68.9%
2023-12-13T04:38:18.660631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 28
 
8.1%
요 28
 
8.1%
원 25
 
7.2%
18
 
5.2%
성 9
 
2.6%
실 7
 
2.0%
버 7
 
2.0%
남 7
 
2.0%
호 7
 
2.0%
의 6
 
1.7%
Other values (98) 203
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
88.1%
Space Separator 18
 
5.2%
Decimal Number 9
 
2.6%
Close Punctuation 4
 
1.2%
Open Punctuation 4
 
1.2%
Uppercase Letter 4
 
1.2%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 28
 
9.2%
요 28
 
9.2%
원 25
 
8.2%
성 9
 
3.0%
실 7
 
2.3%
버 7
 
2.3%
남 7
 
2.3%
호 7
 
2.3%
의 6
 
2.0%
집 6
 
2.0%
Other values (87) 174
57.2%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
C 1
25.0%
A 1
25.0%
W 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%
3 1
 
11.1%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
88.1%
Common 37
 
10.7%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 28
 
9.2%
요 28
 
9.2%
원 25
 
8.2%
성 9
 
3.0%
실 7
 
2.3%
버 7
 
2.3%
남 7
 
2.3%
호 7
 
2.3%
의 6
 
2.0%
집 6
 
2.0%
Other values (87) 174
57.2%
Common
ValueCountFrequency (%)
18
48.6%
2 5
 
13.5%
) 4
 
10.8%
( 4
 
10.8%
1 3
 
8.1%
' 2
 
5.4%
3 1
 
2.7%
Latin
ValueCountFrequency (%)
Y 1
25.0%
C 1
25.0%
A 1
25.0%
W 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
88.1%
ASCII 41
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 28
 
9.2%
요 28
 
9.2%
원 25
 
8.2%
성 9
 
3.0%
실 7
 
2.3%
버 7
 
2.3%
남 7
 
2.3%
호 7
 
2.3%
의 6
 
2.0%
집 6
 
2.0%
Other values (87) 174
57.2%
ASCII
ValueCountFrequency (%)
18
43.9%
2 5
 
12.2%
) 4
 
9.8%
( 4
 
9.8%
1 3
 
7.3%
' 2
 
4.9%
3 1
 
2.4%
Y 1
 
2.4%
C 1
 
2.4%
A 1
 
2.4%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.837209
Minimum9
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T04:38:18.771669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q121
median40
Q372.5
95-th percentile131.3
Maximum162
Range153
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation38.310095
Coefficient of variation (CV)0.78444479
Kurtosis1.5853397
Mean48.837209
Median Absolute Deviation (MAD)26
Skewness1.3120013
Sum2100
Variance1467.6633
MonotonicityNot monotonic
2023-12-13T04:38:18.873607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
9 8
18.6%
29 3
 
7.0%
49 3
 
7.0%
41 2
 
4.7%
66 2
 
4.7%
40 2
 
4.7%
21 2
 
4.7%
73 2
 
4.7%
36 2
 
4.7%
153 1
 
2.3%
Other values (16) 16
37.2%
ValueCountFrequency (%)
9 8
18.6%
17 1
 
2.3%
20 1
 
2.3%
21 2
 
4.7%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
29 3
 
7.0%
36 2
 
4.7%
40 2
 
4.7%
ValueCountFrequency (%)
162 1
2.3%
153 1
2.3%
135 1
2.3%
98 1
2.3%
93 1
2.3%
89 1
2.3%
84 1
2.3%
78 1
2.3%
75 1
2.3%
73 2
4.7%

소재지
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T04:38:19.096778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length38
Mean length31.767442
Min length24

Characters and Unicode

Total characters1366
Distinct characters105
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row경기도 성남시 분당구 벌말로30번길 41 (야탑동)
2nd row경기도 성남시 수정구 성남대로 1334, 4층 (태평동)
3rd row경기도 성남시 분당구 구미로 124, 4층 (구미동, 구미동,굿모닝프라자1)
4th row경기도 성남시 중원구 광명로 57 (성남동)
5th row경기도 성남시 중원구 도촌로 12, 501호 (도촌동)
ValueCountFrequency (%)
경기도 43
 
14.8%
성남시 43
 
14.8%
분당구 17
 
5.8%
수정구 13
 
4.5%
중원구 13
 
4.5%
4층 6
 
2.1%
수진동 5
 
1.7%
태평동 4
 
1.4%
24 3
 
1.0%
야탑동 3
 
1.0%
Other values (112) 141
48.5%
2023-12-13T04:38:19.455972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
 
18.2%
성 57
 
4.2%
남 53
 
3.9%
도 47
 
3.4%
구 47
 
3.4%
동 45
 
3.3%
1 45
 
3.3%
( 44
 
3.2%
시 44
 
3.2%
) 44
 
3.2%
Other values (95) 692
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
57.1%
Space Separator 248
 
18.2%
Decimal Number 207
 
15.2%
Open Punctuation 44
 
3.2%
Close Punctuation 44
 
3.2%
Other Punctuation 37
 
2.7%
Dash Punctuation 3
 
0.2%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 57
 
7.3%
남 53
 
6.8%
도 47
 
6.0%
구 47
 
6.0%
동 45
 
5.8%
시 44
 
5.6%
경 43
 
5.5%
로 43
 
5.5%
기 43
 
5.5%
수 24
 
3.1%
Other values (78) 334
42.8%
Decimal Number
ValueCountFrequency (%)
1 45
21.7%
4 30
14.5%
0 27
13.0%
2 23
11.1%
3 22
10.6%
6 14
 
6.8%
5 13
 
6.3%
7 12
 
5.8%
8 11
 
5.3%
9 10
 
4.8%
Space Separator
ValueCountFrequency (%)
248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 780
57.1%
Common 585
42.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 57
 
7.3%
남 53
 
6.8%
도 47
 
6.0%
구 47
 
6.0%
동 45
 
5.8%
시 44
 
5.6%
경 43
 
5.5%
로 43
 
5.5%
기 43
 
5.5%
수 24
 
3.1%
Other values (78) 334
42.8%
Common
ValueCountFrequency (%)
248
42.4%
1 45
 
7.7%
( 44
 
7.5%
) 44
 
7.5%
, 37
 
6.3%
4 30
 
5.1%
0 27
 
4.6%
2 23
 
3.9%
3 22
 
3.8%
6 14
 
2.4%
Other values (6) 51
 
8.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
57.1%
ASCII 586
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
42.3%
1 45
 
7.7%
( 44
 
7.5%
) 44
 
7.5%
, 37
 
6.3%
4 30
 
5.1%
0 27
 
4.6%
2 23
 
3.9%
3 22
 
3.8%
6 14
 
2.4%
Other values (7) 52
 
8.9%
Hangul
ValueCountFrequency (%)
성 57
 
7.3%
남 53
 
6.8%
도 47
 
6.0%
구 47
 
6.0%
동 45
 
5.8%
시 44
 
5.6%
경 43
 
5.5%
로 43
 
5.5%
기 43
 
5.5%
수 24
 
3.1%
Other values (78) 334
42.8%

전화번호
Text

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T04:38:19.642100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.069767
Min length12

Characters and Unicode

Total characters519
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

Unique38 ?
Unique (%)88.4%

Sample

1st row031-707-8790
2nd row031-757-7600
3rd row031-714-5047
4th row031-722-4660
5th row031-752-2224
ValueCountFrequency (%)
031-781-7781 3
 
7.0%
031-722-6033 2
 
4.7%
031-759-5320 1
 
2.3%
031-707-8790 1
 
2.3%
031-719-9930 1
 
2.3%
031-721-9920 1
 
2.3%
031-754-8400 1
 
2.3%
031-753-5004 1
 
2.3%
031-751-1937 1
 
2.3%
031-759-7597 1
 
2.3%
Other values (30) 30
69.8%
2023-12-13T04:38:19.937088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 86
16.6%
0 84
16.2%
1 72
13.9%
7 67
12.9%
3 65
12.5%
2 35
6.7%
5 33
 
6.4%
9 32
 
6.2%
8 19
 
3.7%
4 17
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 433
83.4%
Dash Punctuation 86
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
19.4%
1 72
16.6%
7 67
15.5%
3 65
15.0%
2 35
8.1%
5 33
 
7.6%
9 32
 
7.4%
8 19
 
4.4%
4 17
 
3.9%
6 9
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 86
16.6%
0 84
16.2%
1 72
13.9%
7 67
12.9%
3 65
12.5%
2 35
6.7%
5 33
 
6.4%
9 32
 
6.2%
8 19
 
3.7%
4 17
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 86
16.6%
0 84
16.2%
1 72
13.9%
7 67
12.9%
3 65
12.5%
2 35
6.7%
5 33
 
6.4%
9 32
 
6.2%
8 19
 
3.7%
4 17
 
3.3%

시설장
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T04:38:20.155075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9767442
Min length2

Characters and Unicode

Total characters128
Distinct characters61
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

Unique43 ?
Unique (%)100.0%

Sample

1st row윤수정
2nd row김회식
3rd row함보경
4th row채경지
5th row양연종
ValueCountFrequency (%)
윤수정 1
 
2.3%
서혜진 1
 
2.3%
이진 1
 
2.3%
조은진 1
 
2.3%
문현식 1
 
2.3%
김정자 1
 
2.3%
김혜성 1
 
2.3%
이준혁 1
 
2.3%
황신우 1
 
2.3%
정윤만 1
 
2.3%
Other values (33) 33
76.7%
2023-12-13T04:38:20.491525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
6.2%
정 7
 
5.5%
영 6
 
4.7%
은 5
 
3.9%
숙 5
 
3.9%
윤 4
 
3.1%
이 4
 
3.1%
경 4
 
3.1%
유 4
 
3.1%
수 3
 
2.3%
Other values (51) 78
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
6.2%
정 7
 
5.5%
영 6
 
4.7%
은 5
 
3.9%
숙 5
 
3.9%
윤 4
 
3.1%
이 4
 
3.1%
경 4
 
3.1%
유 4
 
3.1%
수 3
 
2.3%
Other values (51) 78
60.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
6.2%
정 7
 
5.5%
영 6
 
4.7%
은 5
 
3.9%
숙 5
 
3.9%
윤 4
 
3.1%
이 4
 
3.1%
경 4
 
3.1%
유 4
 
3.1%
수 3
 
2.3%
Other values (51) 78
60.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
6.2%
정 7
 
5.5%
영 6
 
4.7%
은 5
 
3.9%
숙 5
 
3.9%
윤 4
 
3.1%
이 4
 
3.1%
경 4
 
3.1%
유 4
 
3.1%
수 3
 
2.3%
Other values (51) 78
60.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-05-31
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-31
2nd row2023-05-31
3rd row2023-05-31
4th row2023-05-31
5th row2023-05-31

Common Values

ValueCountFrequency (%)
2023-05-31 43
100.0%

Length

2023-12-13T04:38:20.626573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:38:20.726545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-31 43
100.0%

Interactions

2023-12-13T04:38:17.666336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:38:20.808489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류시설명정원소재지전화번호시설장
종류1.0001.0000.8891.0001.0001.000
시설명1.0001.0001.0001.0001.0001.000
정원0.8891.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.000
2023-12-13T04:38:21.229624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원종류
정원1.0000.659
종류0.6591.000

Missing values

2023-12-13T04:38:17.799807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:38:17.919689image/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.

Sample

종류시설명정원소재지전화번호시설장데이터기준일자
0노인요양시설YWCA 은학의 집29경기도 성남시 분당구 벌말로30번길 41 (야탑동)031-707-8790윤수정2023-05-31
1노인요양시설가천효요양원41경기도 성남시 수정구 성남대로 1334, 4층 (태평동)031-757-7600김회식2023-05-31
2노인요양시설고운손요양원25경기도 성남시 분당구 구미로 124, 4층 (구미동, 구미동,굿모닝프라자1)031-714-5047함보경2023-05-31
3노인요양시설괜찮은 요양원42경기도 성남시 중원구 광명로 57 (성남동)031-722-4660채경지2023-05-31
4노인요양시설노블레스요양원49경기도 성남시 중원구 도촌로 12, 501호 (도촌동)031-752-2224양연종2023-05-31
5노인요양시설더힐링요양원49경기도 성남시 분당구 장안로16번길 10 (분당동)031-703-1197김선영2023-05-31
6노인요양시설로뎀나무 요양원72경기도 성남시 수정구 탄리로 108-1 (태평동, 혜성빌딩 4층)031-753-3525오유리2023-05-31
7노인요양시설메디케어36경기도 성남시 분당구 미금로 48 (구미동, 오성프라자 5층)031-719-9949송원숙2023-05-31
8노인요양시설베스트요양원41경기도 성남시 중원구 도촌남로 33 (도촌동, 601,401,402호(세일프라자))031-755-9909안정란2023-05-31
9노인요양시설분당메디케어49경기도 성남시 분당구 정자일로 158, 8층 (정자동, 백궁프라자2차)031-711-9959이종례2023-05-31
종류시설명정원소재지전화번호시설장데이터기준일자
33노인요양시설효사랑요양원78경기도 성남시 중원구 둔촌대로 220 (하대원동)031-751-6100조명숙2023-05-31
34노인요양시설헤리티지너싱홈요양원66경기도 성남시 분당구 대왕판교로 155-8, 1층, 4층 (금곡동)031-8022-0163박미화2023-05-31
35노인요양공동생활가정벧엘요양센터9경기도 성남시 중원구 광명로 331, 3층 (금광동)031-722-1020최은희2023-05-31
36노인요양공동생활가정분당 참사랑 실버홈(1호점)9경기도 성남시 분당구 야탑로 24 (야탑동,덕인빌딩201호)031-781-7781정은수2023-05-31
37노인요양공동생활가정분당 참사랑 실버홈(2호점)9경기도 성남시 분당구 야탑로 24 (야탑동,덕인빌딩 201)031-781-7781신지영2023-05-31
38노인요양공동생활가정분당 참사랑 실버홈(3호점)9경기도 성남시 분당구 야탑로 24 (야탑동)031-781-7781김수형2023-05-31
39노인요양공동생활가정성남어르신요양센터1호점9경기도 성남시 수정구 수정로 144, 4층 (수진동)031-722-6033오윤경2023-05-31
40노인요양공동생활가정성남어르신요양센터2호점9경기도 성남시 수정구 수정로 144, 4층 (수진동)031-722-6033장효은2023-05-31
41노인요양공동생활가정송은 요양원 2호 (분당점)9경기도 성남시 분당구 판교로610번길 11, 2층 (야탑동)031-707-6581정광욱2023-05-31
42노인요양공동생활가정한마음실버빌 2호9경기도 성남시 중원구 광명로 336 (금광동)031-742-7877유준철2023-05-31