Overview

Dataset statistics

Number of variables7
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory59.4 B

Variable types

Numeric2
Categorical1
Text3
DateTime1

Dataset

Description광주광역시 북구에 소재한 노인 주야간보호센터 및 요양원 현황 데이터로, 기관명, 주소, 전화번호 등의 정보를 제공합니다.* 2023. 7. 13. ~ 7. 30. 에 광주광역시 북구청 홈페이지를 통해 진행된 [공공데이터 개방 및 활용수요 설문조사] 결과, 개방 요청된 데이터를 개방하였습니다.
Author광주광역시 북구
URLhttps://www.data.go.kr/data/15118518/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:48:34.338717
Analysis finished2024-03-14 13:48:36.653100
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-03-14T22:48:36.869155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2024-03-14T22:48:37.289455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size856.0 B
노인주야간보호센터
62 
노인요양시설
29 

Length

Max length9
Median length9
Mean length8.043956
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인주야간보호센터 62
68.1%
노인요양시설 29
31.9%

Length

2024-03-14T22:48:37.710469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:48:37.882934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인주야간보호센터 62
68.1%
노인요양시설 29
31.9%

기관명
Text

Distinct89
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size856.0 B
2024-03-14T22:48:38.659812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.8681319
Min length5

Characters and Unicode

Total characters807
Distinct characters159
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)95.6%

Sample

1st row광주노인복지센터
2nd row사랑방주야간보호센터
3rd row백세주간보호센터
4th row주원재활노인복지센터
5th row아들과딸 주간보호센터 광주일곡
ValueCountFrequency (%)
상록수요양원 2
 
2.0%
평안의집노인복지센터 2
 
2.0%
광주노인주간보호센터 1
 
1.0%
한사랑노인요양원 1
 
1.0%
새롬실버요양원 1
 
1.0%
조은요양원 1
 
1.0%
미래재가장기요양기관 1
 
1.0%
일곡한솔노인복지센터 1
 
1.0%
성신복지센터 1
 
1.0%
비엔날레실버타운 1
 
1.0%
Other values (86) 86
87.8%
2024-03-14T22:48:39.761490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 61
 
7.6%
센 60
 
7.4%
주 41
 
5.1%
노 35
 
4.3%
인 35
 
4.3%
보 33
 
4.1%
간 33
 
4.1%
호 33
 
4.1%
복 28
 
3.5%
원 25
 
3.1%
Other values (149) 423
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 798
98.9%
Space Separator 9
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 61
 
7.6%
센 60
 
7.5%
주 41
 
5.1%
노 35
 
4.4%
인 35
 
4.4%
보 33
 
4.1%
간 33
 
4.1%
호 33
 
4.1%
복 28
 
3.5%
원 25
 
3.1%
Other values (148) 414
51.9%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 798
98.9%
Common 9
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 61
 
7.6%
센 60
 
7.5%
주 41
 
5.1%
노 35
 
4.4%
인 35
 
4.4%
보 33
 
4.1%
간 33
 
4.1%
호 33
 
4.1%
복 28
 
3.5%
원 25
 
3.1%
Other values (148) 414
51.9%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 798
98.9%
ASCII 9
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 61
 
7.6%
센 60
 
7.5%
주 41
 
5.1%
노 35
 
4.4%
인 35
 
4.4%
보 33
 
4.1%
간 33
 
4.1%
호 33
 
4.1%
복 28
 
3.5%
원 25
 
3.1%
Other values (148) 414
51.9%
ASCII
ValueCountFrequency (%)
9
100.0%

주소
Text

Distinct80
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size856.0 B
2024-03-14T22:48:40.944268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length26.703297
Min length20

Characters and Unicode

Total characters2430
Distinct characters114
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

Unique69 ?
Unique (%)75.8%

Sample

1st row광주광역시 북구 군왕로130번길 30 (두암동)
2nd row광주광역시 북구 서하로 193 5층 (오치동)
3rd row광주광역시 북구 모룡대길 51 (일곡동)
4th row광주광역시 북구 용봉택지로 46 3+4층 (용봉동)
5th row광주광역시 북구 설죽로 518 5층 (일곡동)
ValueCountFrequency (%)
광주광역시 91
 
17.9%
북구 91
 
17.9%
오치동 11
 
2.2%
용봉동 9
 
1.8%
운암동 8
 
1.6%
연제동 7
 
1.4%
2층 7
 
1.4%
두암동 6
 
1.2%
양산동 6
 
1.2%
6층 5
 
1.0%
Other values (168) 266
52.5%
2024-03-14T22:48:42.198142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
416
 
17.1%
광 182
 
7.5%
동 105
 
4.3%
북 98
 
4.0%
( 92
 
3.8%
) 92
 
3.8%
역 91
 
3.7%
시 91
 
3.7%
구 91
 
3.7%
주 91
 
3.7%
Other values (104) 1081
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1379
56.7%
Space Separator 416
 
17.1%
Decimal Number 413
 
17.0%
Open Punctuation 92
 
3.8%
Close Punctuation 92
 
3.8%
Dash Punctuation 27
 
1.1%
Math Symbol 10
 
0.4%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 182
 
13.2%
동 105
 
7.6%
북 98
 
7.1%
역 91
 
6.6%
시 91
 
6.6%
구 91
 
6.6%
주 91
 
6.6%
로 79
 
5.7%
길 51
 
3.7%
번 39
 
2.8%
Other values (88) 461
33.4%
Decimal Number
ValueCountFrequency (%)
1 84
20.3%
2 70
16.9%
3 61
14.8%
0 40
9.7%
7 36
8.7%
4 32
 
7.7%
5 31
 
7.5%
6 22
 
5.3%
9 19
 
4.6%
8 18
 
4.4%
Space Separator
ValueCountFrequency (%)
416
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1379
56.7%
Common 1050
43.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 182
 
13.2%
동 105
 
7.6%
북 98
 
7.1%
역 91
 
6.6%
시 91
 
6.6%
구 91
 
6.6%
주 91
 
6.6%
로 79
 
5.7%
길 51
 
3.7%
번 39
 
2.8%
Other values (88) 461
33.4%
Common
ValueCountFrequency (%)
416
39.6%
( 92
 
8.8%
) 92
 
8.8%
1 84
 
8.0%
2 70
 
6.7%
3 61
 
5.8%
0 40
 
3.8%
7 36
 
3.4%
4 32
 
3.0%
5 31
 
3.0%
Other values (5) 96
 
9.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1379
56.7%
ASCII 1051
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
416
39.6%
( 92
 
8.8%
) 92
 
8.8%
1 84
 
8.0%
2 70
 
6.7%
3 61
 
5.8%
0 40
 
3.8%
7 36
 
3.4%
4 32
 
3.0%
5 31
 
2.9%
Other values (6) 97
 
9.2%
Hangul
ValueCountFrequency (%)
광 182
 
13.2%
동 105
 
7.6%
북 98
 
7.1%
역 91
 
6.6%
시 91
 
6.6%
구 91
 
6.6%
주 91
 
6.6%
로 79
 
5.7%
길 51
 
3.7%
번 39
 
2.8%
Other values (88) 461
33.4%

전화번호
Text

Distinct81
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size856.0 B
2024-03-14T22:48:43.199488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1092
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

Unique71 ?
Unique (%)78.0%

Sample

1st row062-267-5309
2nd row062-263-6777
3rd row062-574-0773
4th row062-528-9988
5th row062-710-0089
ValueCountFrequency (%)
062-521-5212 2
 
2.2%
062-574-2919 2
 
2.2%
062-971-5597 2
 
2.2%
062-573-4200 2
 
2.2%
062-266-1048 2
 
2.2%
062-511-3338 2
 
2.2%
062-521-4008 2
 
2.2%
062-433-7799 2
 
2.2%
062-529-8300 2
 
2.2%
062-267-0300 2
 
2.2%
Other values (71) 71
78.0%
2024-03-14T22:48:44.387768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 184
16.8%
- 182
16.7%
0 164
15.0%
6 128
11.7%
5 95
8.7%
7 74
6.8%
1 70
 
6.4%
9 62
 
5.7%
3 50
 
4.6%
8 45
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 910
83.3%
Dash Punctuation 182
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 184
20.2%
0 164
18.0%
6 128
14.1%
5 95
10.4%
7 74
8.1%
1 70
 
7.7%
9 62
 
6.8%
3 50
 
5.5%
8 45
 
4.9%
4 38
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 184
16.8%
- 182
16.7%
0 164
15.0%
6 128
11.7%
5 95
8.7%
7 74
6.8%
1 70
 
6.4%
9 62
 
5.7%
3 50
 
4.6%
8 45
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 184
16.8%
- 182
16.7%
0 164
15.0%
6 128
11.7%
5 95
8.7%
7 74
6.8%
1 70
 
6.4%
9 62
 
5.7%
3 50
 
4.6%
8 45
 
4.1%

정원(명)
Real number (ℝ)

Distinct48
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.384615
Minimum6
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-03-14T22:48:44.635281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8.5
Q124.5
median38
Q356.5
95-th percentile73
Maximum105
Range99
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.363049
Coefficient of variation (CV)0.5678118
Kurtosis-0.066080553
Mean39.384615
Median Absolute Deviation (MAD)17
Skewness0.47375276
Sum3584
Variance500.10598
MonotonicityNot monotonic
2024-03-14T22:48:44.913615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
9 10
 
11.0%
49 5
 
5.5%
38 3
 
3.3%
7 3
 
3.3%
29 3
 
3.3%
73 3
 
3.3%
58 3
 
3.3%
27 3
 
3.3%
48 3
 
3.3%
62 2
 
2.2%
Other values (38) 53
58.2%
ValueCountFrequency (%)
6 1
 
1.1%
7 3
 
3.3%
8 1
 
1.1%
9 10
11.0%
16 1
 
1.1%
17 1
 
1.1%
18 2
 
2.2%
20 1
 
1.1%
21 2
 
2.2%
24 1
 
1.1%
ValueCountFrequency (%)
105 1
 
1.1%
99 1
 
1.1%
89 1
 
1.1%
73 3
3.3%
71 2
2.2%
70 2
2.2%
68 1
 
1.1%
64 1
 
1.1%
63 2
2.2%
62 2
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size856.0 B
Minimum2024-01-23 00:00:00
Maximum2024-01-23 00:00:00
2024-03-14T22:48:45.252717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:48:45.548919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T22:48:35.574049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:48:35.119755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:48:35.802861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:48:35.347194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:48:45.763200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분기관명주소전화번호정원(명)
연번1.0000.9970.8760.6430.0000.421
구분0.9971.0000.0000.0000.0000.213
기관명0.8760.0001.0001.0001.0000.974
주소0.6430.0001.0001.0000.9990.593
전화번호0.0000.0001.0000.9991.0000.821
정원(명)0.4210.2130.9740.5930.8211.000
2024-03-14T22:48:45.940769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원(명)구분
연번1.000-0.3940.911
정원(명)-0.3941.0000.202
구분0.9110.2021.000

Missing values

2024-03-14T22:48:36.123582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:48:36.508776image/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

연번구분기관명주소전화번호정원(명)데이터기준일자
01노인주야간보호센터광주노인복지센터광주광역시 북구 군왕로130번길 30 (두암동)062-267-5309172024-01-23
12노인주야간보호센터사랑방주야간보호센터광주광역시 북구 서하로 193 5층 (오치동)062-263-6777502024-01-23
23노인주야간보호센터백세주간보호센터광주광역시 북구 모룡대길 51 (일곡동)062-574-0773402024-01-23
34노인주야간보호센터주원재활노인복지센터광주광역시 북구 용봉택지로 46 3+4층 (용봉동)062-528-9988502024-01-23
45노인주야간보호센터아들과딸 주간보호센터 광주일곡광주광역시 북구 설죽로 518 5층 (일곡동)062-710-0089552024-01-23
56노인주야간보호센터굿모닝데이케어센터광주광역시 북구 효열로35번길 15-4 (양산동)062-576-8866332024-01-23
67노인주야간보호센터감나무협동조합재가복지센터광주광역시 북구 각화대로 12 (각화동)062-262-9987482024-01-23
78노인주야간보호센터새우리 함께 재활주간보호센터광주광역시 북구 우치로241번길 26 1-3층 (오치동)062-264-2555702024-01-23
89노인주야간보호센터사랑재활주간보호센터광주광역시 북구 중외길 3-7 (매곡동)062-261-1005712024-01-23
910노인주야간보호센터빛고을재가노인복지센터광주광역시 북구 대천로157번길 104-13 (문흥동)062-264-2222682024-01-23
연번구분기관명주소전화번호정원(명)데이터기준일자
8182노인요양시설에버그린실버하우스광주광역시 북구 하서로1000번길 32 (수곡동)062-573-3300612024-01-23
8283노인요양시설새롬요양원광주광역시 북구 첨단연신로107번길 45-22 (신용동)062-574-9988292024-01-23
8384노인요양시설평안의집노인복지센터광주광역시 북구 반룡로41번길 9 (용봉동)062-433-779962024-01-23
8485노인요양시설전원노인요양원광주광역시 북구 새터마을길 13 (오치동)062-261-1749482024-01-23
8586노인요양시설우리실버홈광주광역시 북구 월동로 49-3 (두암동)062-971-559772024-01-23
8687노인요양시설오손도손요양원광주광역시 북구 청계로 52 (용봉동)062-531-532392024-01-23
8788노인요양시설초로기행복찾기요양원광주광역시 북구 중흥로 25 (신안동)062-521-400892024-01-23
8889노인요양시설나자렛요양원광주광역시 북구 양산제로 25 (양산동)062-574-291992024-01-23
8990노인요양시설현대실버빌광주광역시 북구 호동로 100 105동 303호 (우산동 현대아파트)062-267-900292024-01-23
9091노인요양시설정드림케어하우스광주광역시 북구 하서로 387 6층 604호 (양산동 휴다움빌딩)062-571-195092024-01-23