Overview

Dataset statistics

Number of variables4
Number of observations126
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory34.0 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description경상북도에서 운영하고 있는 재가노인 복지시설 각각의 시설명, 시설소재지 상세주소, 23개 시군에 대한 정보입니다.
Author경상북도
URLhttps://www.data.go.kr/data/15052027/fileData.do

Alerts

연번 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:46:49.087912
Analysis finished2023-12-12 12:46:49.605808
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.5
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:46:49.702704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q132.25
median63.5
Q394.75
95-th percentile119.75
Maximum126
Range125
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation36.517119
Coefficient of variation (CV)0.57507274
Kurtosis-1.2
Mean63.5
Median Absolute Deviation (MAD)31.5
Skewness0
Sum8001
Variance1333.5
MonotonicityStrictly increasing
2023-12-12T21:46:49.873822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
81 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%

시군
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
구미시
20 
포항시
14 
영주시
12 
경주시
12 
김천시
8 
Other values (16)
60 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
구미시 20
15.9%
포항시 14
11.1%
영주시 12
 
9.5%
경주시 12
 
9.5%
김천시 8
 
6.3%
문경시 8
 
6.3%
청송군 7
 
5.6%
상주시 6
 
4.8%
의성군 5
 
4.0%
경산시 4
 
3.2%
Other values (11) 30
23.8%

Length

2023-12-12T21:46:50.003010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구미시 20
15.9%
포항시 14
11.1%
영주시 12
 
9.5%
경주시 12
 
9.5%
김천시 8
 
6.3%
문경시 8
 
6.3%
청송군 7
 
5.6%
상주시 6
 
4.8%
의성군 5
 
4.0%
울진군 4
 
3.2%
Other values (11) 30
23.8%

시설명
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:46:50.203205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.269841
Min length3

Characters and Unicode

Total characters1294
Distinct characters174
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)100.0%

Sample

1st row선재주야간노인센터
2nd row선재재가노인지원서비스센터
3rd row들꽃마을노인복지센터
4th row햇빛마을 주야간보호센터
5th row좋은이웃노인복지센터
ValueCountFrequency (%)
노인복지센터 3
 
2.2%
행복동산 1
 
0.7%
문경연꽃종합복지센터 1
 
0.7%
점촌데이케어센터 1
 
0.7%
점촌재활 1
 
0.7%
주야간보호 1
 
0.7%
재가노인복지센터 1
 
0.7%
점촌주간보호센터 1
 
0.7%
선재주야간노인센터 1
 
0.7%
봉양노인복지센터 1
 
0.7%
Other values (126) 126
91.3%
2023-12-12T21:46:50.581868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 115
 
8.9%
터 114
 
8.8%
지 101
 
7.8%
노 92
 
7.1%
인 92
 
7.1%
복 76
 
5.9%
가 54
 
4.2%
재 53
 
4.1%
원 31
 
2.4%
주 22
 
1.7%
Other values (164) 544
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1273
98.4%
Space Separator 12
 
0.9%
Uppercase Letter 4
 
0.3%
Other Symbol 3
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 115
 
9.0%
터 114
 
9.0%
지 101
 
7.9%
노 92
 
7.2%
인 92
 
7.2%
복 76
 
6.0%
가 54
 
4.2%
재 53
 
4.2%
원 31
 
2.4%
주 22
 
1.7%
Other values (156) 523
41.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
A 1
25.0%
C 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1276
98.6%
Common 14
 
1.1%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 115
 
9.0%
터 114
 
8.9%
지 101
 
7.9%
노 92
 
7.2%
인 92
 
7.2%
복 76
 
6.0%
가 54
 
4.2%
재 53
 
4.2%
원 31
 
2.4%
주 22
 
1.7%
Other values (157) 526
41.2%
Latin
ValueCountFrequency (%)
M 1
25.0%
A 1
25.0%
C 1
25.0%
Y 1
25.0%
Common
ValueCountFrequency (%)
12
85.7%
) 1
 
7.1%
( 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1273
98.4%
ASCII 18
 
1.4%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 115
 
9.0%
터 114
 
9.0%
지 101
 
7.9%
노 92
 
7.2%
인 92
 
7.2%
복 76
 
6.0%
가 54
 
4.2%
재 53
 
4.2%
원 31
 
2.4%
주 22
 
1.7%
Other values (156) 523
41.1%
ASCII
ValueCountFrequency (%)
12
66.7%
M 1
 
5.6%
) 1
 
5.6%
A 1
 
5.6%
C 1
 
5.6%
Y 1
 
5.6%
( 1
 
5.6%
None
ValueCountFrequency (%)
㈜ 3
100.0%

소재지
Text

Distinct121
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:46:50.913832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length17.031746
Min length9

Characters and Unicode

Total characters2146
Distinct characters171
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)92.1%

Sample

1st row포항시 북구 칠성로 47번길 4(남빈동)
2nd row포항시 북구 칠성로 47번길4(남빈동)
3rd row포항시 북구 청하면 용산길 277-8
4th row포항시 남구 대잠동길 17-1
5th row포항시 북구 흥해읍 한동로 106번길 39
ValueCountFrequency (%)
구미시 20
 
4.2%
포항시 14
 
2.9%
경주시 12
 
2.5%
영주시 12
 
2.5%
북구 9
 
1.9%
김천시 8
 
1.7%
청송군 7
 
1.5%
문경시 7
 
1.5%
상주시 6
 
1.2%
의성군 5
 
1.0%
Other values (306) 381
79.2%
2023-12-12T21:46:51.465888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
 
16.6%
1 115
 
5.4%
시 91
 
4.2%
2 84
 
3.9%
로 75
 
3.5%
길 75
 
3.5%
4 59
 
2.7%
3 58
 
2.7%
- 56
 
2.6%
동 50
 
2.3%
Other values (161) 1127
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1177
54.8%
Decimal Number 492
22.9%
Space Separator 356
 
16.6%
Dash Punctuation 56
 
2.6%
Open Punctuation 28
 
1.3%
Close Punctuation 27
 
1.3%
Other Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 91
 
7.7%
로 75
 
6.4%
길 75
 
6.4%
동 50
 
4.2%
군 42
 
3.6%
주 41
 
3.5%
구 36
 
3.1%
읍 33
 
2.8%
면 32
 
2.7%
경 27
 
2.3%
Other values (146) 675
57.3%
Decimal Number
ValueCountFrequency (%)
1 115
23.4%
2 84
17.1%
4 59
12.0%
3 58
11.8%
5 33
 
6.7%
6 33
 
6.7%
9 32
 
6.5%
7 31
 
6.3%
8 24
 
4.9%
0 23
 
4.7%
Space Separator
ValueCountFrequency (%)
356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1177
54.8%
Common 969
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 91
 
7.7%
로 75
 
6.4%
길 75
 
6.4%
동 50
 
4.2%
군 42
 
3.6%
주 41
 
3.5%
구 36
 
3.1%
읍 33
 
2.8%
면 32
 
2.7%
경 27
 
2.3%
Other values (146) 675
57.3%
Common
ValueCountFrequency (%)
356
36.7%
1 115
 
11.9%
2 84
 
8.7%
4 59
 
6.1%
3 58
 
6.0%
- 56
 
5.8%
5 33
 
3.4%
6 33
 
3.4%
9 32
 
3.3%
7 31
 
3.2%
Other values (5) 112
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1177
54.8%
ASCII 969
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
36.7%
1 115
 
11.9%
2 84
 
8.7%
4 59
 
6.1%
3 58
 
6.0%
- 56
 
5.8%
5 33
 
3.4%
6 33
 
3.4%
9 32
 
3.3%
7 31
 
3.2%
Other values (5) 112
 
11.6%
Hangul
ValueCountFrequency (%)
시 91
 
7.7%
로 75
 
6.4%
길 75
 
6.4%
동 50
 
4.2%
군 42
 
3.6%
주 41
 
3.5%
구 36
 
3.1%
읍 33
 
2.8%
면 32
 
2.7%
경 27
 
2.3%
Other values (146) 675
57.3%

Interactions

2023-12-12T21:46:49.339843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:46:51.598632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군
연번1.0000.973
시군0.9731.000
2023-12-12T21:46:51.692955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군
연번1.0000.817
시군0.8171.000

Missing values

2023-12-12T21:46:49.467572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:46:49.564348image/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

연번시군시설명소재지
01포항시선재주야간노인센터포항시 북구 칠성로 47번길 4(남빈동)
12포항시선재재가노인지원서비스센터포항시 북구 칠성로 47번길4(남빈동)
23포항시들꽃마을노인복지센터포항시 북구 청하면 용산길 277-8
34포항시햇빛마을 주야간보호센터포항시 남구 대잠동길 17-1
45포항시좋은이웃노인복지센터포항시 북구 흥해읍 한동로 106번길 39
56포항시유락원재가노인복지센터포항시 남구 장기면 산서길 54
67포항시실버힐재가복지센터포항시 북구 중흥로213번길 47
78포항시좋은이웃마을노인복지센터포항시 남구 연일읍 중명길 15-10
89포항시가람재가노인지원센터포항시 북구 장미길 31-1
910포항시서포항노인복지센터포항시 북구 기계면 기계로 69번길 11
연번시군시설명소재지
116117성주군가야실버빌복지센터성주군 금수면 성주로 1966
117118칠곡군칠곡노인복지센터칠곡군 왜관읍 평장1길 9(1층)
118119칠곡군성가어르신복지센터칠곡군 동명면 금암북실1길 8-11
119120예천군예천재가노인지원서비스센터예천군 예천읍 충효로 209-19
120121예천군유천재가노인지원서비스센터예천군 유천면 고산길 128
121122봉화군봉화노인복지센터봉화군 봉화읍 솔안2길 23
122123울진군울진노인복지센터울진군 울진읍 연지1길 114
123124울진군엘 요양원 재가노인복지시설울진군 울진읍 연지1길 114
124125울진군울진실버학교울진군 죽변면 죽변5길 23
125126울진군하하호호데이케어울진군 죽변면 죽변5길 10-10