Overview

Dataset statistics

Number of variables7
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory59.2 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description충청남도 보령시에 위치한 장기요양기관의 기관명, 급여정보, 기관주소, 기관 전화번호, 기관 팩스번호를 제공하는 데이터입니다
URLhttps://www.data.go.kr/data/15037751/fileData.do

Alerts

연번 is highly overall correlated with 급여종류High correlation
급여종류 is highly overall correlated with 연번High correlation
방문목욕차량 is highly imbalanced (77.0%)Imbalance
연번 has unique valuesUnique
정원 has 81 (75.7%) zerosZeros

Reproduction

Analysis started2023-12-12 19:05:27.632982
Analysis finished2023-12-12 19:05:28.864192
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:05:28.964504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3
Q127.5
median54
Q380.5
95-th percentile101.7
Maximum107
Range106
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.032241
Coefficient of variation (CV)0.57467114
Kurtosis-1.2
Mean54
Median Absolute Deviation (MAD)27
Skewness0
Sum5778
Variance963
MonotonicityStrictly increasing
2023-12-13T04:05:29.130510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
69 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%

급여종류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
방문요양
46 
방문목욕
26 
주야간보호
12 
노인요양시설(개정법)
8 
방문간호
5 
Other values (4)
10 

Length

Max length11
Median length4
Mean length4.953271
Min length4

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row노인요양공동생활가정
2nd row노인요양공동생활가정
3rd row노인요양공동생활가정
4th row노인요양공동생활가정
5th row노인요양시설(개정법)

Common Values

ValueCountFrequency (%)
방문요양 46
43.0%
방문목욕 26
24.3%
주야간보호 12
 
11.2%
노인요양시설(개정법) 8
 
7.5%
방문간호 5
 
4.7%
노인요양공동생활가정 4
 
3.7%
복지용구 4
 
3.7%
치매전담실가형1실 1
 
0.9%
치매전담실나형1실 1
 
0.9%

Length

2023-12-13T04:05:29.292528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:05:29.433784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양 46
43.0%
방문목욕 26
24.3%
주야간보호 12
 
11.2%
노인요양시설(개정법 8
 
7.5%
방문간호 5
 
4.7%
노인요양공동생활가정 4
 
3.7%
복지용구 4
 
3.7%
치매전담실가형1실 1
 
0.9%
치매전담실나형1실 1
 
0.9%

장기요양기관
Text

Distinct70
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-13T04:05:29.740736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.3457944
Min length4

Characters and Unicode

Total characters1000
Distinct characters131
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

Unique38 ?
Unique (%)35.5%

Sample

1st row보령사랑의집
2nd row청소노인요양공동생활가정
3rd row브라보 노인요양공동생활가정
4th row삼육소담노인요양공동생활가정
5th row보금자리요양원
ValueCountFrequency (%)
보령밀알교회부설그루터기재가복지센터 3
 
2.6%
힐링재가복지센터 3
 
2.6%
산돌간호재가복지센터 3
 
2.6%
가온재가복지센터 3
 
2.6%
주)나눔복지센터 3
 
2.6%
보령사랑노인복지센터 2
 
1.8%
행복방문요양센터 2
 
1.8%
보령통합재가센터 2
 
1.8%
은혜재가복지센터 2
 
1.8%
천북재가복지센터 2
 
1.8%
Other values (65) 89
78.1%
2023-12-13T04:05:30.369214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 93
 
9.3%
센 90
 
9.0%
복 62
 
6.2%
지 59
 
5.9%
가 54
 
5.4%
재 44
 
4.4%
보 36
 
3.6%
양 32
 
3.2%
요 32
 
3.2%
령 22
 
2.2%
Other values (121) 476
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 977
97.7%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Space Separator 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 93
 
9.5%
센 90
 
9.2%
복 62
 
6.3%
지 59
 
6.0%
가 54
 
5.5%
재 44
 
4.5%
보 36
 
3.7%
양 32
 
3.3%
요 32
 
3.3%
령 22
 
2.3%
Other values (118) 453
46.4%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 977
97.7%
Common 23
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 93
 
9.5%
센 90
 
9.2%
복 62
 
6.3%
지 59
 
6.0%
가 54
 
5.5%
재 44
 
4.5%
보 36
 
3.7%
양 32
 
3.3%
요 32
 
3.3%
령 22
 
2.3%
Other values (118) 453
46.4%
Common
ValueCountFrequency (%)
) 8
34.8%
( 8
34.8%
7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 977
97.7%
ASCII 23
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 93
 
9.5%
센 90
 
9.2%
복 62
 
6.3%
지 59
 
6.0%
가 54
 
5.5%
재 44
 
4.5%
보 36
 
3.7%
양 32
 
3.3%
요 32
 
3.3%
령 22
 
2.3%
Other values (118) 453
46.4%
ASCII
ValueCountFrequency (%)
) 8
34.8%
( 8
34.8%
7
30.4%

정원
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4018692
Minimum0
Maximum119
Zeros81
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:05:30.544046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile47.4
Maximum119
Range119
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.981053
Coefficient of variation (CV)2.5643594
Kurtosis13.930183
Mean7.4018692
Median Absolute Deviation (MAD)0
Skewness3.4925078
Sum792
Variance360.28037
MonotonicityNot monotonic
2023-12-13T04:05:30.678234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 81
75.7%
9 7
 
6.5%
7 1
 
0.9%
67 1
 
0.9%
2 1
 
0.9%
12 1
 
0.9%
20 1
 
0.9%
32 1
 
0.9%
19 1
 
0.9%
37 1
 
0.9%
Other values (11) 11
 
10.3%
ValueCountFrequency (%)
0 81
75.7%
2 1
 
0.9%
7 1
 
0.9%
9 7
 
6.5%
12 1
 
0.9%
13 1
 
0.9%
18 1
 
0.9%
19 1
 
0.9%
20 1
 
0.9%
22 1
 
0.9%
ValueCountFrequency (%)
119 1
0.9%
76 1
0.9%
75 1
0.9%
67 1
0.9%
49 1
0.9%
48 1
0.9%
46 1
0.9%
38 1
0.9%
37 1
0.9%
32 1
0.9%

전화번호
Text

Distinct67
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-13T04:05:31.001118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018692
Min length12

Characters and Unicode

Total characters1286
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

Unique34 ?
Unique (%)31.8%

Sample

1st row041-931-3316
2nd row041-933-1337
3rd row041-934-6337
4th row041-934-3536
5th row041-932-1006
ValueCountFrequency (%)
041-931-0999 3
 
2.8%
041-931-6111 3
 
2.8%
041-933-5680 3
 
2.8%
041-935-8508 3
 
2.8%
041-932-6004 3
 
2.8%
041-934-6337 3
 
2.8%
041-934-5786 3
 
2.8%
041-934-7377 2
 
1.9%
041-641-5490 2
 
1.9%
041-933-1337 2
 
1.9%
Other values (57) 80
74.8%
2023-12-13T04:05:31.507752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 214
16.6%
1 176
13.7%
4 167
13.0%
0 163
12.7%
3 162
12.6%
9 139
10.8%
6 64
 
5.0%
8 57
 
4.4%
5 56
 
4.4%
7 44
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1072
83.4%
Dash Punctuation 214
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 176
16.4%
4 167
15.6%
0 163
15.2%
3 162
15.1%
9 139
13.0%
6 64
 
6.0%
8 57
 
5.3%
5 56
 
5.2%
7 44
 
4.1%
2 44
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 214
16.6%
1 176
13.7%
4 167
13.0%
0 163
12.7%
3 162
12.6%
9 139
10.8%
6 64
 
5.0%
8 57
 
4.4%
5 56
 
4.4%
7 44
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 214
16.6%
1 176
13.7%
4 167
13.0%
0 163
12.7%
3 162
12.6%
9 139
10.8%
6 64
 
5.0%
8 57
 
4.4%
5 56
 
4.4%
7 44
 
3.4%

방문목욕차량
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
무
103 
유
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무 103
96.3%
유 4
 
3.7%

Length

2023-12-13T04:05:31.674321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:05:31.783128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 103
96.3%
유 4
 
3.7%

주소
Text

Distinct67
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-13T04:05:32.061865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length27.065421
Min length20

Characters and Unicode

Total characters2896
Distinct characters109
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

Unique35 ?
Unique (%)32.7%

Sample

1st row 충청남도 보령시 남포면 사현1길 62 (남포면)
2nd row 충청남도 보령시 청소면 송덕신송길 337-60 (청소면)
3rd row 충청남도 보령시 청소면 송덕신송길 337-61 (청소면)
4th row 충청남도 보령시 청소면 마참길 42-27 (청소면)
5th row 충청남도 보령시 웅천읍 한내1길 270 (웅천읍)
ValueCountFrequency (%)
충청남도 107
17.7%
보령시 107
17.7%
대천동 37
 
6.1%
동대동 23
 
3.8%
남포면 16
 
2.6%
청소면 16
 
2.6%
웅천읍 14
 
2.3%
천북면 10
 
1.7%
주교면 10
 
1.7%
2층 10
 
1.7%
Other values (123) 256
42.2%
2023-12-13T04:05:32.523254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
670
23.1%
청 131
 
4.5%
남 130
 
4.5%
보 115
 
4.0%
령 115
 
4.0%
시 109
 
3.8%
충 108
 
3.7%
도 107
 
3.7%
( 106
 
3.7%
) 106
 
3.7%
Other values (99) 1199
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1627
56.2%
Space Separator 670
23.1%
Decimal Number 347
 
12.0%
Open Punctuation 106
 
3.7%
Close Punctuation 106
 
3.7%
Dash Punctuation 20
 
0.7%
Other Punctuation 20
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 131
 
8.1%
남 130
 
8.0%
보 115
 
7.1%
령 115
 
7.1%
시 109
 
6.7%
충 108
 
6.6%
도 107
 
6.6%
동 103
 
6.3%
천 75
 
4.6%
대 71
 
4.4%
Other values (83) 563
34.6%
Decimal Number
ValueCountFrequency (%)
1 61
17.6%
2 60
17.3%
3 50
14.4%
5 32
9.2%
6 30
8.6%
0 29
8.4%
8 27
7.8%
4 26
7.5%
7 18
 
5.2%
9 14
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 18
90.0%
@ 2
 
10.0%
Space Separator
ValueCountFrequency (%)
670
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1627
56.2%
Common 1269
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 131
 
8.1%
남 130
 
8.0%
보 115
 
7.1%
령 115
 
7.1%
시 109
 
6.7%
충 108
 
6.6%
도 107
 
6.6%
동 103
 
6.3%
천 75
 
4.6%
대 71
 
4.4%
Other values (83) 563
34.6%
Common
ValueCountFrequency (%)
670
52.8%
( 106
 
8.4%
) 106
 
8.4%
1 61
 
4.8%
2 60
 
4.7%
3 50
 
3.9%
5 32
 
2.5%
6 30
 
2.4%
0 29
 
2.3%
8 27
 
2.1%
Other values (6) 98
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1627
56.2%
ASCII 1269
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
670
52.8%
( 106
 
8.4%
) 106
 
8.4%
1 61
 
4.8%
2 60
 
4.7%
3 50
 
3.9%
5 32
 
2.5%
6 30
 
2.4%
0 29
 
2.3%
8 27
 
2.1%
Other values (6) 98
 
7.7%
Hangul
ValueCountFrequency (%)
청 131
 
8.1%
남 130
 
8.0%
보 115
 
7.1%
령 115
 
7.1%
시 109
 
6.7%
충 108
 
6.6%
도 107
 
6.6%
동 103
 
6.3%
천 75
 
4.6%
대 71
 
4.4%
Other values (83) 563
34.6%

Interactions

2023-12-13T04:05:28.368403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.165121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.480417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.252794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:05:32.642012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류장기요양기관정원전화번호방문목욕차량주소
연번1.0000.8560.0000.4890.0000.3740.000
급여종류0.8561.0000.7290.5820.0000.2240.326
장기요양기관0.0000.7291.0000.9241.0000.0001.000
정원0.4890.5820.9241.0000.9160.0000.932
전화번호0.0000.0001.0000.9161.0000.0001.000
방문목욕차량0.3740.2240.0000.0000.0001.0000.000
주소0.0000.3261.0000.9321.0000.0001.000
2023-12-13T04:05:32.761207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문목욕차량급여종류
방문목욕차량1.0000.214
급여종류0.2141.000
2023-12-13T04:05:32.861917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원급여종류방문목욕차량
연번1.0000.0360.6120.274
정원0.0361.0000.3300.000
급여종류0.6120.3301.0000.214
방문목욕차량0.2740.0000.2141.000

Missing values

2023-12-13T04:05:28.665843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:05:28.803170image/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

연번급여종류장기요양기관정원전화번호방문목욕차량주소
01노인요양공동생활가정보령사랑의집7041-931-3316무충청남도 보령시 남포면 사현1길 62 (남포면)
12노인요양공동생활가정청소노인요양공동생활가정9041-933-1337무충청남도 보령시 청소면 송덕신송길 337-60 (청소면)
23노인요양공동생활가정브라보 노인요양공동생활가정9041-934-6337무충청남도 보령시 청소면 송덕신송길 337-61 (청소면)
34노인요양공동생활가정삼육소담노인요양공동생활가정9041-934-3536무충청남도 보령시 청소면 마참길 42-27 (청소면)
45노인요양시설(개정법)보금자리요양원13041-932-1006무충청남도 보령시 웅천읍 한내1길 270 (웅천읍)
56노인요양시설(개정법)대천요양원46041-931-9920무충청남도 보령시 성주면 성주산로 367 (성주면)
67노인요양시설(개정법)보령요양원48041-933-1144무충청남도 보령시 남포면 보령남로 207 (남포면)
78노인요양시설(개정법)충청남도립요양원119041-933-3003무충청남도 보령시 주교면 척골길 233 (주교면)
89노인요양시설(개정법)행복한집38041-931-6111무충청남도 보령시 남포면 봉덕2길 14 (남포면)
910노인요양시설(개정법)노인전문 살렘요양원49041-641-0060무충청남도 보령시 천북면 심박동길 92 (천북면)
연번급여종류장기요양기관정원전화번호방문목욕차량주소
9798주야간보호대천주야간보호센터22041-932-1800무충청남도 보령시 희망2길 39 (동대동)
9899주야간보호보령밀알교회부설그루터기재가복지센터18041-931-0999무충청남도 보령시 서낭댕이길 11-1 (동대동)
99100주야간보호보령재가노인복지센터37041-934-3844무충청남도 보령시 동대로 56 (동대동)
100101주야간보호브라보재가요양센터19041-934-6337무충청남도 보령시 청소면 송덕신송길 337-61 (청소면)
101102주야간보호사회복지법인 효드림 데이케어센터32041-936-8097무충청남도 보령시 남대천로 75 (대천동)
102103주야간보호소망주야간보호센터9041-936-8430무충청남도 보령시 주교면 문화마을길 150-13 (주교면)
103104주야간보호청소주야간보호센터20041-933-1337무충청남도 보령시 청소면 송덕신송길 337-60 (청소면)
104105주야간보호행복한주야간보호센터9041-931-6111무충청남도 보령시 남포면 봉덕2길 14 (남포면)
105106치매전담실가형1실충청남도립요양원12041-933-3003무충청남도 보령시 주교면 척골길 233 (주교면)
106107치매전담실나형1실행복한집2041-931-6111무충청남도 보령시 남포면 봉덕2길 14 (남포면)