Overview

Dataset statistics

Number of variables8
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory66.6 B

Variable types

Numeric1
Categorical4
Text3

Dataset

Description대전광역시 동구 관내 노인복지시설(노인여가복지시설, 노인의료복지시설, 재가노인복지시설) 현황정보로서, 주소, 전화번호 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3081013/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
영업상태 has constant value ""Constant
연번 is highly overall correlated with 시설종류High correlation
시설종류 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:27:58.530447
Analysis finished2023-12-12 11:27:59.650691
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-12T20:27:59.770219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median41
Q361
95-th percentile77
Maximum81
Range80
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23.526581
Coefficient of variation (CV)0.57381904
Kurtosis-1.2
Mean41
Median Absolute Deviation (MAD)20
Skewness0
Sum3321
Variance553.5
MonotonicityStrictly increasing
2023-12-12T20:28:00.048024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
62 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
대전광역시
81 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 81
100.0%

Length

2023-12-12T20:28:00.296430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:00.476396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 81
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
동구
81 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 81
100.0%

Length

2023-12-12T20:28:00.635020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:00.788671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 81
100.0%

시설명
Text

Distinct80
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T20:28:01.131284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.9506173
Min length4

Characters and Unicode

Total characters644
Distinct characters147
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)97.5%

Sample

1st row동구정다운어르신복지관
2nd row동구행복한어르신복지관
3rd rowWith 다솜요양원
4th row가로수노인전문요양원
5th row가원요양원
ValueCountFrequency (%)
산내노인종합센터 2
 
2.4%
드림재가복지센터 1
 
1.2%
송인재가복지센터 1
 
1.2%
선우노인복지센터 1
 
1.2%
새봄실버주간보호센터 1
 
1.2%
사랑재가복지센터 1
 
1.2%
부모애주간보호센터 1
 
1.2%
백세실버케어 1
 
1.2%
라라복지센터 1
 
1.2%
섬김복지용구지원센터 1
 
1.2%
Other values (74) 74
87.1%
2023-12-12T20:28:01.722322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 42
 
6.5%
터 42
 
6.5%
복 32
 
5.0%
원 31
 
4.8%
양 31
 
4.8%
지 31
 
4.8%
요 29
 
4.5%
가 21
 
3.3%
인 18
 
2.8%
노 17
 
2.6%
Other values (137) 350
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 626
97.2%
Lowercase Letter 9
 
1.4%
Space Separator 4
 
0.6%
Uppercase Letter 2
 
0.3%
Decimal Number 2
 
0.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 42
 
6.7%
터 42
 
6.7%
복 32
 
5.1%
원 31
 
5.0%
양 31
 
5.0%
지 31
 
5.0%
요 29
 
4.6%
가 21
 
3.4%
인 18
 
2.9%
노 17
 
2.7%
Other values (123) 332
53.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
22.2%
l 1
11.1%
h 1
11.1%
t 1
11.1%
i 1
11.1%
w 1
11.1%
y 1
11.1%
s 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
W 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 626
97.2%
Latin 11
 
1.7%
Common 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 42
 
6.7%
터 42
 
6.7%
복 32
 
5.1%
원 31
 
5.0%
양 31
 
5.0%
지 31
 
5.0%
요 29
 
4.6%
가 21
 
3.4%
인 18
 
2.9%
노 17
 
2.7%
Other values (123) 332
53.0%
Latin
ValueCountFrequency (%)
a 2
18.2%
A 1
9.1%
l 1
9.1%
h 1
9.1%
t 1
9.1%
i 1
9.1%
W 1
9.1%
w 1
9.1%
y 1
9.1%
s 1
9.1%
Common
ValueCountFrequency (%)
4
57.1%
+ 1
 
14.3%
2 1
 
14.3%
1 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 626
97.2%
ASCII 18
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 42
 
6.7%
터 42
 
6.7%
복 32
 
5.1%
원 31
 
5.0%
양 31
 
5.0%
지 31
 
5.0%
요 29
 
4.6%
가 21
 
3.4%
인 18
 
2.9%
노 17
 
2.7%
Other values (123) 332
53.0%
ASCII
ValueCountFrequency (%)
4
22.2%
a 2
11.1%
A 1
 
5.6%
+ 1
 
5.6%
2 1
 
5.6%
1 1
 
5.6%
l 1
 
5.6%
h 1
 
5.6%
t 1
 
5.6%
i 1
 
5.6%
Other values (4) 4
22.2%

시설종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
재가노인복지시설
43 
노인의료복지시설
36 
노인여가복지시설
 
2

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 43
53.1%
노인의료복지시설 36
44.4%
노인여가복지시설 2
 
2.5%

Length

2023-12-12T20:28:01.945553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:02.117699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 43
53.1%
노인의료복지시설 36
44.4%
노인여가복지시설 2
 
2.5%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
운영
81 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 81
100.0%

Length

2023-12-12T20:28:02.305751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:02.452646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 81
100.0%

주소
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T20:28:02.852413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length26.62963
Min length18

Characters and Unicode

Total characters2157
Distinct characters107
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

Unique81 ?
Unique (%)100.0%

Sample

1st row대전광역시 동구 충정로 53-30(가양동)
2nd row대전광역시 동구 동부로 23(판암동)
3rd row대전광역시 동구 우암로 234(가양동)
4th row대전광역시 동구 산내로1287번길 59-12(낭월동)
5th row대전광역시 동구 우암로 352(가양동)
ValueCountFrequency (%)
대전광역시 81
 
19.1%
동구 81
 
19.1%
가양동 8
 
1.9%
대전로 8
 
1.9%
계족로 7
 
1.7%
판암동 7
 
1.7%
2층 6
 
1.4%
3층 6
 
1.4%
용전동 5
 
1.2%
우암로 5
 
1.2%
Other values (159) 210
49.5%
2023-12-12T20:28:03.524224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
15.9%
동 183
 
8.5%
대 108
 
5.0%
전 105
 
4.9%
구 84
 
3.9%
시 82
 
3.8%
( 81
 
3.8%
광 81
 
3.8%
역 81
 
3.8%
) 81
 
3.8%
Other values (97) 928
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1202
55.7%
Decimal Number 380
 
17.6%
Space Separator 343
 
15.9%
Open Punctuation 81
 
3.8%
Close Punctuation 81
 
3.8%
Other Punctuation 47
 
2.2%
Dash Punctuation 21
 
1.0%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 183
15.2%
대 108
 
9.0%
전 105
 
8.7%
구 84
 
7.0%
시 82
 
6.8%
광 81
 
6.7%
역 81
 
6.7%
로 80
 
6.7%
층 29
 
2.4%
길 25
 
2.1%
Other values (80) 344
28.6%
Decimal Number
ValueCountFrequency (%)
1 79
20.8%
3 49
12.9%
2 46
12.1%
5 37
9.7%
0 33
8.7%
4 31
 
8.2%
6 30
 
7.9%
8 27
 
7.1%
7 25
 
6.6%
9 23
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1202
55.7%
Common 953
44.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 183
15.2%
대 108
 
9.0%
전 105
 
8.7%
구 84
 
7.0%
시 82
 
6.8%
광 81
 
6.7%
역 81
 
6.7%
로 80
 
6.7%
층 29
 
2.4%
길 25
 
2.1%
Other values (80) 344
28.6%
Common
ValueCountFrequency (%)
343
36.0%
( 81
 
8.5%
) 81
 
8.5%
1 79
 
8.3%
3 49
 
5.1%
, 47
 
4.9%
2 46
 
4.8%
5 37
 
3.9%
0 33
 
3.5%
4 31
 
3.3%
Other values (5) 126
 
13.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1202
55.7%
ASCII 955
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
35.9%
( 81
 
8.5%
) 81
 
8.5%
1 79
 
8.3%
3 49
 
5.1%
, 47
 
4.9%
2 46
 
4.8%
5 37
 
3.9%
0 33
 
3.5%
4 31
 
3.2%
Other values (7) 128
 
13.4%
Hangul
ValueCountFrequency (%)
동 183
15.2%
대 108
 
9.0%
전 105
 
8.7%
구 84
 
7.0%
시 82
 
6.8%
광 81
 
6.7%
역 81
 
6.7%
로 80
 
6.7%
층 29
 
2.4%
길 25
 
2.1%
Other values (80) 344
28.6%

전화번호
Text

Distinct77
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T20:28:04.025312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.037037
Min length12

Characters and Unicode

Total characters975
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

Unique73 ?
Unique (%)90.1%

Sample

1st row042-626-2736
2nd row042-282-5910
3rd row042-639-6061
4th row042-285-3800
5th row042-625-2904
ValueCountFrequency (%)
042-284-1234 2
 
2.5%
042-283-2015 2
 
2.5%
042-625-2904 2
 
2.5%
042-271-9805 2
 
2.5%
042-285-6800 2
 
2.5%
042-282-4164 1
 
1.2%
042-348-5678 1
 
1.2%
042-626-0142 1
 
1.2%
042-286-1008 1
 
1.2%
042-621-1007 1
 
1.2%
Other values (66) 66
81.5%
2023-12-12T20:28:04.745050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 187
19.2%
- 162
16.6%
0 151
15.5%
4 114
11.7%
8 77
7.9%
6 61
 
6.3%
3 52
 
5.3%
5 51
 
5.2%
7 49
 
5.0%
1 45
 
4.6%
Other values (2) 26
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 810
83.1%
Dash Punctuation 162
 
16.6%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 187
23.1%
0 151
18.6%
4 114
14.1%
8 77
9.5%
6 61
 
7.5%
3 52
 
6.4%
5 51
 
6.3%
7 49
 
6.0%
1 45
 
5.6%
9 23
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 975
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 187
19.2%
- 162
16.6%
0 151
15.5%
4 114
11.7%
8 77
7.9%
6 61
 
6.3%
3 52
 
5.3%
5 51
 
5.2%
7 49
 
5.0%
1 45
 
4.6%
Other values (2) 26
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 187
19.2%
- 162
16.6%
0 151
15.5%
4 114
11.7%
8 77
7.9%
6 61
 
6.3%
3 52
 
5.3%
5 51
 
5.2%
7 49
 
5.0%
1 45
 
4.6%
Other values (2) 26
 
2.7%

Interactions

2023-12-12T20:27:59.044395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:28:04.911090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명시설종류주소전화번호
연번1.0000.9450.8111.0000.725
시설명0.9451.0000.8901.0001.000
시설종류0.8110.8901.0001.0000.663
주소1.0001.0001.0001.0001.000
전화번호0.7251.0000.6631.0001.000
2023-12-12T20:28:05.063167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설종류
연번1.0000.663
시설종류0.6631.000

Missing values

2023-12-12T20:27:59.307276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:27:59.566986image/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

연번시도시군구시설명시설종류영업상태주소전화번호
01대전광역시동구동구정다운어르신복지관노인여가복지시설운영대전광역시 동구 충정로 53-30(가양동)042-626-2736
12대전광역시동구동구행복한어르신복지관노인여가복지시설운영대전광역시 동구 동부로 23(판암동)042-282-5910
23대전광역시동구With 다솜요양원노인의료복지시설운영대전광역시 동구 우암로 234(가양동)042-639-6061
34대전광역시동구가로수노인전문요양원노인의료복지시설운영대전광역시 동구 산내로1287번길 59-12(낭월동)042-285-3800
45대전광역시동구가원요양원노인의료복지시설운영대전광역시 동구 우암로 352(가양동)042-625-2904
56대전광역시동구가은실버홈노인의료복지시설운영대전광역시 동구 동중앙로 108-3(자양동)042-626-7558
67대전광역시동구금성노인요양원노인의료복지시설운영대전광역시 동구 산내로560번길 18-13(상소동)042-274-4700
78대전광역시동구나날요양원노인의료복지시설운영대전광역시 동구 태전로 5(중동)042-226-7575
89대전광역시동구다복요양원1호노인의료복지시설운영대전광역시 동구 계족로 316, 3층(성남동)042-683-0717
910대전광역시동구다복요양원2호노인의료복지시설운영대전광역시 동구 계족로 316, 4층(성남동)042-683-0718
연번시도시군구시설명시설종류영업상태주소전화번호
7172대전광역시동구잘섬김요양센터재가노인복지시설운영대전광역시 동구 대전로 1, 209호 (구도동, SK엔크린 내트럭하우스)042-274-1969
7273대전광역시동구좋은나무재가복지센터재가노인복지시설운영대전광역시 동구 대전로 600-28 (효동)042-285-2511
7374대전광역시동구중앙시니어주간보호센터재가노인복지시설운영대전광역시 동구 중앙로200번길 66, 4층 401호 (원동)042-252-1005
7475대전광역시동구지원재가복지센터재가노인복지시설운영대전광역시 동구 동대전로309번길 44 (가양동)042-621-5855
7576대전광역시동구판암주간보호센터재가노인복지시설운영대전광역시 동구 옥천로 195, 3층 (판암동)042-285-9202
7677대전광역시동구한국보건복지실버케어재가노인복지시설운영대전광역시 동구 옥천로 183, 7층 (판암동)042-346-8200
7778대전광역시동구한울재가노인복지센터재가노인복지시설운영대전광역시 동구 대전로 696, 2층 (인동)042-285-1288
7879대전광역시동구해드림노인복지센터재가노인복지시설운영대전광역시 동구 동구청로 95 (가오동)042-284-1234
7980대전광역시동구햇빛노인복지센터재가노인복지시설운영대전광역시 동구 가양남로 30-1 (가양동)042-361-7944
8081대전광역시동구행복나눔재가복지센터재가노인복지시설운영대전광역시 동구 계족로 258-1, 3층 (소제동)042-622-5467