Overview

Dataset statistics

Number of variables9
Number of observations104
Missing cells134
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory76.3 B

Variable types

Numeric3
Categorical2
Text4

Dataset

Description대전광역시 중구에서 관리하는 노인복지시설 사회복지관, 노인복지시설, 경로당 현황 등 노인복지시설 현황을 제공합니다
Author대전광역시 중구
URLhttps://www.data.go.kr/data/3033820/fileData.do

Alerts

시설종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
종류내 시설 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 시설종류 and 1 other fieldsHigh correlation
정원수 is highly overall correlated with 종류내 시설High correlation
정원수 has 46 (44.2%) missing valuesMissing
법인명 has 80 (76.9%) missing valuesMissing
전화번호 has 8 (7.7%) missing valuesMissing
연번 has unique valuesUnique
시 설 명 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:37:17.991934
Analysis finished2023-12-16 15:37:27.949159
Duration9.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.5
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-16T15:37:28.460365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.15
Q126.75
median52.5
Q378.25
95-th percentile98.85
Maximum104
Range103
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation30.166206
Coefficient of variation (CV)0.5745944
Kurtosis-1.2
Mean52.5
Median Absolute Deviation (MAD)26
Skewness0
Sum5460
Variance910
MonotonicityStrictly increasing
2023-12-16T15:37:29.075469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
54 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%

시설종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
재가노인복지시설
70 
노인의료복지시설
31 
노인주거복지시설
 
3

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 70
67.3%
노인의료복지시설 31
29.8%
노인주거복지시설 3
 
2.9%

Length

2023-12-16T15:37:30.010143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:37:30.511718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 70
67.3%
노인의료복지시설 31
29.8%
노인주거복지시설 3
 
2.9%

종류내 시설
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
재가노인복지시설
70 
노인요양시설
21 
노인요양공동생활가정
10 
노인공동생활가정
 
2
양로시설
 
1

Length

Max length10
Median length8
Mean length7.75
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 70
67.3%
노인요양시설 21
 
20.2%
노인요양공동생활가정 10
 
9.6%
노인공동생활가정 2
 
1.9%
양로시설 1
 
1.0%

Length

2023-12-16T15:37:31.229991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:37:32.222015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 70
67.3%
노인요양시설 21
 
20.2%
노인요양공동생활가정 10
 
9.6%
노인공동생활가정 2
 
1.9%
양로시설 1
 
1.0%

시 설 명
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2023-12-16T15:37:33.528953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.7019231
Min length4

Characters and Unicode

Total characters905
Distinct characters161
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st row은혜양로원
2nd row주사랑의 집
3rd row성심의 집
4th row실버랜드
5th row푸른노인요양원
ValueCountFrequency (%)
주간보호센터 2
 
1.7%
집 2
 
1.7%
울엄니 2
 
1.7%
주야간보호센터 2
 
1.7%
은총 2
 
1.7%
맘편한주간보호센터 1
 
0.8%
노블케어복지용구사업소 1
 
0.8%
베스타주간보호센터 1
 
0.8%
성심복지용구사업소 1
 
0.8%
효행실버스쿨 1
 
0.8%
Other values (104) 104
87.4%
2023-12-16T15:37:35.735561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 64
 
7.1%
센 64
 
7.1%
복 52
 
5.7%
지 48
 
5.3%
가 47
 
5.2%
재 36
 
4.0%
양 27
 
3.0%
요 26
 
2.9%
노 26
 
2.9%
원 26
 
2.9%
Other values (151) 489
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 882
97.5%
Space Separator 15
 
1.7%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 64
 
7.3%
센 64
 
7.3%
복 52
 
5.9%
지 48
 
5.4%
가 47
 
5.3%
재 36
 
4.1%
양 27
 
3.1%
요 26
 
2.9%
노 26
 
2.9%
원 26
 
2.9%
Other values (144) 466
52.8%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 882
97.5%
Common 22
 
2.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 64
 
7.3%
센 64
 
7.3%
복 52
 
5.9%
지 48
 
5.4%
가 47
 
5.3%
재 36
 
4.1%
양 27
 
3.1%
요 26
 
2.9%
노 26
 
2.9%
원 26
 
2.9%
Other values (144) 466
52.8%
Common
ValueCountFrequency (%)
15
68.2%
) 2
 
9.1%
( 2
 
9.1%
+ 1
 
4.5%
/ 1
 
4.5%
· 1
 
4.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 882
97.5%
ASCII 22
 
2.4%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 64
 
7.3%
센 64
 
7.3%
복 52
 
5.9%
지 48
 
5.4%
가 47
 
5.3%
재 36
 
4.1%
양 27
 
3.1%
요 26
 
2.9%
노 26
 
2.9%
원 26
 
2.9%
Other values (144) 466
52.8%
ASCII
ValueCountFrequency (%)
15
68.2%
) 2
 
9.1%
( 2
 
9.1%
+ 1
 
4.5%
A 1
 
4.5%
/ 1
 
4.5%
None
ValueCountFrequency (%)
· 1
100.0%

소재지 도로명주소
Text

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size964.0 B
2023-12-16T15:37:36.933193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length27.538462
Min length20

Characters and Unicode

Total characters2864
Distinct characters131
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

Unique84 ?
Unique (%)80.8%

Sample

1st row대전광역시 중구 단재로 471 (어남동)
2nd row대전광역시 중구 유천로18번길 66 (유천동)
3rd row대전광역시 중구 충무로15번길 76 (대흥동)
4th row대전광역시 중구 단재로 426-58 (어남동)
5th row대전광역시 중구 천근로 34 (문화동)
ValueCountFrequency (%)
대전광역시 104
 
17.3%
중구 104
 
17.3%
문화동 15
 
2.5%
2층 14
 
2.3%
유천동 12
 
2.0%
대흥동 10
 
1.7%
1층 9
 
1.5%
태평동 8
 
1.3%
대종로 7
 
1.2%
석교동 7
 
1.2%
Other values (188) 310
51.7%
2023-12-16T15:37:38.327958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
496
 
17.3%
대 141
 
4.9%
1 116
 
4.1%
동 113
 
3.9%
중 112
 
3.9%
) 105
 
3.7%
( 105
 
3.7%
전 104
 
3.6%
광 104
 
3.6%
역 104
 
3.6%
Other values (121) 1364
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1583
55.3%
Space Separator 496
 
17.3%
Decimal Number 477
 
16.7%
Close Punctuation 105
 
3.7%
Open Punctuation 105
 
3.7%
Other Punctuation 76
 
2.7%
Dash Punctuation 18
 
0.6%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 141
 
8.9%
동 113
 
7.1%
중 112
 
7.1%
전 104
 
6.6%
광 104
 
6.6%
역 104
 
6.6%
시 104
 
6.6%
구 104
 
6.6%
로 102
 
6.4%
문 39
 
2.5%
Other values (103) 556
35.1%
Decimal Number
ValueCountFrequency (%)
1 116
24.3%
2 79
16.6%
5 50
10.5%
0 48
10.1%
3 37
 
7.8%
4 34
 
7.1%
9 31
 
6.5%
7 31
 
6.5%
6 28
 
5.9%
8 23
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
J 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
496
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1583
55.3%
Common 1277
44.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 141
 
8.9%
동 113
 
7.1%
중 112
 
7.1%
전 104
 
6.6%
광 104
 
6.6%
역 104
 
6.6%
시 104
 
6.6%
구 104
 
6.6%
로 102
 
6.4%
문 39
 
2.5%
Other values (103) 556
35.1%
Common
ValueCountFrequency (%)
496
38.8%
1 116
 
9.1%
) 105
 
8.2%
( 105
 
8.2%
2 79
 
6.2%
, 76
 
6.0%
5 50
 
3.9%
0 48
 
3.8%
3 37
 
2.9%
4 34
 
2.7%
Other values (5) 131
 
10.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
J 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1583
55.3%
ASCII 1281
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
496
38.7%
1 116
 
9.1%
) 105
 
8.2%
( 105
 
8.2%
2 79
 
6.2%
, 76
 
5.9%
5 50
 
3.9%
0 48
 
3.7%
3 37
 
2.9%
4 34
 
2.7%
Other values (8) 135
 
10.5%
Hangul
ValueCountFrequency (%)
대 141
 
8.9%
동 113
 
7.1%
중 112
 
7.1%
전 104
 
6.6%
광 104
 
6.6%
역 104
 
6.6%
시 104
 
6.6%
구 104
 
6.6%
로 102
 
6.4%
문 39
 
2.5%
Other values (103) 556
35.1%

우편번호
Real number (ℝ)

Distinct74
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34965.933
Minimum34809
Maximum35086
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-16T15:37:38.911729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34809
5-th percentile34831
Q134893
median34973
Q335033.5
95-th percentile35082.85
Maximum35086
Range277
Interquartile range (IQR)140.5

Descriptive statistics

Standard deviation80.820221
Coefficient of variation (CV)0.002311399
Kurtosis-1.0032291
Mean34965.933
Median Absolute Deviation (MAD)67
Skewness-0.20666774
Sum3636457
Variance6531.908
MonotonicityNot monotonic
2023-12-16T15:37:39.555670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35086 4
 
3.8%
34893 4
 
3.8%
35081 3
 
2.9%
35008 3
 
2.9%
35064 3
 
2.9%
34831 3
 
2.9%
34944 3
 
2.9%
34964 2
 
1.9%
35002 2
 
1.9%
34989 2
 
1.9%
Other values (64) 75
72.1%
ValueCountFrequency (%)
34809 1
 
1.0%
34812 2
1.9%
34823 1
 
1.0%
34825 1
 
1.0%
34831 3
2.9%
34832 1
 
1.0%
34844 2
1.9%
34846 1
 
1.0%
34859 1
 
1.0%
34865 1
 
1.0%
ValueCountFrequency (%)
35086 4
3.8%
35083 2
1.9%
35082 1
 
1.0%
35081 3
2.9%
35074 1
 
1.0%
35071 2
1.9%
35069 1
 
1.0%
35064 3
2.9%
35063 1
 
1.0%
35061 1
 
1.0%

정원수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)53.4%
Missing46
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean41.448276
Minimum7
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-16T15:37:40.277079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8.85
Q120.25
median31
Q349
95-th percentile103.75
Maximum156
Range149
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation34.358876
Coefficient of variation (CV)0.82895791
Kurtosis1.8191519
Mean41.448276
Median Absolute Deviation (MAD)18
Skewness1.458713
Sum2404
Variance1180.5324
MonotonicityNot monotonic
2023-12-16T15:37:40.954149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
9 11
 
10.6%
100 3
 
2.9%
30 3
 
2.9%
21 3
 
2.9%
27 3
 
2.9%
29 3
 
2.9%
36 2
 
1.9%
75 2
 
1.9%
8 2
 
1.9%
37 2
 
1.9%
Other values (21) 24
23.1%
(Missing) 46
44.2%
ValueCountFrequency (%)
7 1
 
1.0%
8 2
 
1.9%
9 11
10.6%
20 1
 
1.0%
21 3
 
2.9%
24 1
 
1.0%
26 1
 
1.0%
27 3
 
2.9%
29 3
 
2.9%
30 3
 
2.9%
ValueCountFrequency (%)
156 1
 
1.0%
131 1
 
1.0%
125 1
 
1.0%
100 3
2.9%
99 1
 
1.0%
81 1
 
1.0%
80 1
 
1.0%
75 2
1.9%
63 1
 
1.0%
60 1
 
1.0%

법인명
Text

MISSING 

Distinct21
Distinct (%)87.5%
Missing80
Missing (%)76.9%
Memory size964.0 B
2023-12-16T15:37:41.918343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length11.041667
Min length6

Characters and Unicode

Total characters265
Distinct characters80
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)75.0%

Sample

1st row사회복지법인 은혜복지재단
2nd row재단법인 재속프란치스코회
3rd row사회복지법인 선아복지재단
4th row학교법인청운학원
5th row선한이웃노인요양원
ValueCountFrequency (%)
사회복지법인 7
18.9%
주식회사 5
 
13.5%
나눔복지재단 2
 
5.4%
은혜복지재단 2
 
5.4%
에이치케이메디컬 2
 
5.4%
사)월드복음선교협의회 1
 
2.7%
학교법인청운학원 1
 
2.7%
선한이웃노인요양원 1
 
2.7%
신영복지재단 1
 
2.7%
효행실버스쿨 1
 
2.7%
Other values (14) 14
37.8%
2023-12-16T15:37:43.405524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 19
 
7.2%
지 18
 
6.8%
회 17
 
6.4%
사 17
 
6.4%
재 14
 
5.3%
단 14
 
5.3%
인 13
 
4.9%
13
 
4.9%
법 11
 
4.2%
주 8
 
3.0%
Other values (70) 121
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
93.6%
Space Separator 13
 
4.9%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 19
 
7.7%
지 18
 
7.3%
회 17
 
6.9%
사 17
 
6.9%
재 14
 
5.6%
단 14
 
5.6%
인 13
 
5.2%
법 11
 
4.4%
주 8
 
3.2%
이 6
 
2.4%
Other values (67) 111
44.8%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
93.6%
Common 17
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 19
 
7.7%
지 18
 
7.3%
회 17
 
6.9%
사 17
 
6.9%
재 14
 
5.6%
단 14
 
5.6%
인 13
 
5.2%
법 11
 
4.4%
주 8
 
3.2%
이 6
 
2.4%
Other values (67) 111
44.8%
Common
ValueCountFrequency (%)
13
76.5%
) 2
 
11.8%
( 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
93.6%
ASCII 17
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 19
 
7.7%
지 18
 
7.3%
회 17
 
6.9%
사 17
 
6.9%
재 14
 
5.6%
단 14
 
5.6%
인 13
 
5.2%
법 11
 
4.4%
주 8
 
3.2%
이 6
 
2.4%
Other values (67) 111
44.8%
ASCII
ValueCountFrequency (%)
13
76.5%
) 2
 
11.8%
( 2
 
11.8%

전화번호
Text

MISSING 

Distinct88
Distinct (%)91.7%
Missing8
Missing (%)7.7%
Memory size964.0 B
2023-12-16T15:37:44.368007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03125
Min length12

Characters and Unicode

Total characters1155
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

Unique81 ?
Unique (%)84.4%

Sample

1st row042-285-2113
2nd row042-582-5048
3rd row042-226-4406
4th row042-285-7391
5th row042-584-7501
ValueCountFrequency (%)
042-223-5500 3
 
3.1%
042-222-9988 2
 
2.1%
042-353-2000 2
 
2.1%
042-582-8382 2
 
2.1%
042-584-5416 2
 
2.1%
042-286-9977 2
 
2.1%
070-7722-8833 2
 
2.1%
042-581-3989 1
 
1.0%
042-256-0088 1
 
1.0%
042-345-1280 1
 
1.0%
Other values (78) 78
81.2%
2023-12-16T15:37:46.066423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 226
19.6%
- 192
16.6%
0 179
15.5%
4 131
11.3%
5 101
8.7%
8 98
8.5%
3 60
 
5.2%
1 47
 
4.1%
6 45
 
3.9%
7 42
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 963
83.4%
Dash Punctuation 192
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 226
23.5%
0 179
18.6%
4 131
13.6%
5 101
10.5%
8 98
10.2%
3 60
 
6.2%
1 47
 
4.9%
6 45
 
4.7%
7 42
 
4.4%
9 34
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 226
19.6%
- 192
16.6%
0 179
15.5%
4 131
11.3%
5 101
8.7%
8 98
8.5%
3 60
 
5.2%
1 47
 
4.1%
6 45
 
3.9%
7 42
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 226
19.6%
- 192
16.6%
0 179
15.5%
4 131
11.3%
5 101
8.7%
8 98
8.5%
3 60
 
5.2%
1 47
 
4.1%
6 45
 
3.9%
7 42
 
3.6%

Interactions

2023-12-16T15:37:24.059376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:21.483432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:22.814813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:25.001568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:21.868976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:23.317503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:25.393075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:22.211415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:37:23.701324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:37:46.726264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설종류종류내 시설소재지 도로명주소우편번호정원수법인명전화번호
연번1.0000.8150.9000.8150.4790.3810.9520.000
시설종류0.8151.0001.0000.0000.1880.7060.0000.375
종류내 시설0.9001.0001.0000.0000.0000.7740.0000.575
소재지 도로명주소0.8150.0000.0001.0001.0000.0000.9961.000
우편번호0.4790.1880.0001.0001.0000.0000.9761.000
정원수0.3810.7060.7740.0000.0001.0000.0000.984
법인명0.9520.0000.0000.9960.9760.0001.0000.977
전화번호0.0000.3750.5751.0001.0000.9840.9771.000
2023-12-16T15:37:47.464688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류종류내 시설
시설종류1.0000.990
종류내 시설0.9901.000
2023-12-16T15:37:47.989834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호정원수시설종류종류내 시설
연번1.000-0.254-0.2020.6870.572
우편번호-0.2541.000-0.0790.1170.000
정원수-0.202-0.0791.0000.3880.566
시설종류0.6870.1170.3881.0000.990
종류내 시설0.5720.0000.5660.9901.000

Missing values

2023-12-16T15:37:26.092366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:37:27.178230image/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.
2023-12-16T15:37:27.786983image/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

연번시설종류종류내 시설시 설 명소재지 도로명주소우편번호정원수법인명전화번호
01노인주거복지시설양로시설은혜양로원대전광역시 중구 단재로 471 (어남동)35086125사회복지법인 은혜복지재단042-285-2113
12노인주거복지시설노인공동생활가정주사랑의 집대전광역시 중구 유천로18번길 66 (유천동)349727<NA>042-582-5048
23노인주거복지시설노인공동생활가정성심의 집대전광역시 중구 충무로15번길 76 (대흥동)349439재단법인 재속프란치스코회042-226-4406
34노인의료복지시설노인요양시설실버랜드대전광역시 중구 단재로 426-58 (어남동)35086100사회복지법인 선아복지재단042-285-7391
45노인의료복지시설노인요양시설푸른노인요양원대전광역시 중구 천근로 34 (문화동)3500575<NA>042-584-7501
56노인의료복지시설노인요양시설대전보건대학교이안요양원대전광역시 중구 대종로 468, 2,3,5,6층 (대흥동)3492599학교법인청운학원042-670-9702
67노인의료복지시설노인요양시설남대전요양원대전광역시 중구 대종로 185 (석교동)3506363<NA>042-282-0070
78노인의료복지시설노인요양시설선한이웃노인요양원대전광역시 중구 당골길 207-17 (금동)3508638선한이웃노인요양원042-286-8468
89노인의료복지시설노인요양시설대전성모케어센터대전광역시 중구 테미로 51-12 (대흥동)3494244재단법인대전교구천주교회유지재단042-220-6900
910노인의료복지시설노인요양시설범골요양원대전광역시 중구 범골로 99 (호동)3507121사회복지법인 한사랑복지재단042-271-7171
연번시설종류종류내 시설시 설 명소재지 도로명주소우편번호정원수법인명전화번호
9495재가노인복지시설재가노인복지시설사랑가득복지센터대전광역시 중구 천근로15번길 4, 2층 (문화동)35002<NA><NA><NA>
9596재가노인복지시설재가노인복지시설미소짓는케어대전광역시 중구 천근로15번길 4, 2층 (문화동)35002<NA><NA><NA>
9697재가노인복지시설재가노인복지시설좋은날재가복지센터대전광역시 중구 목중로 69, 202호 (중촌동, 주공하늘3단지상가)34809<NA><NA>042-226-0541
9798재가노인복지시설재가노인복지시설올타임케어재가복지센터대전광역시 중구 문화로 180, 1층 (문화동)34998<NA><NA>070-8657-2222
9899재가노인복지시설재가노인복지시설사효재가노인복지센터대전광역시 중구 대둔산로 419-4, 801호 (산성동, 한밭프라자빌딩)3498930<NA>042-581-7080
99100재가노인복지시설재가노인복지시설동행재가복지센터대전광역시 중구 계백로1566번길 104, 2층 (유천동)3498330<NA>042-348-2580
100101재가노인복지시설재가노인복지시설우리재가복지센터대전광역시 중구 보문산로177번안길 50, 102호 (문화동, (문화동, 보성빌라))35014<NA><NA>042-346-8882
101102재가노인복지시설재가노인복지시설스마일재가복지센터대전광역시 중구 동서대로 1347, 105동 103호 (용두동, 늘푸른아파트 상가)3482530<NA>042-582-5505
102103재가노인복지시설재가노인복지시설대전효사랑주야간보호센터대전광역시 중구 천근로 42, 2층 (문화동, 엘림빌딩)3500535<NA>042-585-1388
103104재가노인복지시설재가노인복지시설사랑실버케어센터대전광역시 중구 중앙로 28, 106호 (문화동, 센트럴스타클래스)3494432중부실버케어센터 주식회사042-226-3336