Overview

Dataset statistics

Number of variables7
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory59.3 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description충청남도 보령시에 위치한 장기요양기관의 기관명, 급여정보, 기관주소, 기관 전화번호, 기관 팩스번호를 제공하는 데이터입니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=410&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037751

Alerts

연번 is highly overall correlated with 급여종류High correlation
급여종류 is highly overall correlated with 연번High correlation
방문목욕차량 is highly imbalanced (75.8%)Imbalance
연번 has unique valuesUnique
정원 has 76 (76.0%) zerosZeros

Reproduction

Analysis started2024-01-09 22:12:14.524240
Analysis finished2024-01-09 22:12:15.275660
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-10T07:12:15.335406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-01-10T07:12:15.440245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
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 (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

급여종류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
방문요양
41 
방문목욕
27 
주야간보호
10 
노인요양시설(개정법)
7 
노인요양공동생활가정
5 
Other values (4)
10 

Length

Max length11
Median length4
Mean length4.99
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
방문요양 41
41.0%
방문목욕 27
27.0%
주야간보호 10
 
10.0%
노인요양시설(개정법) 7
 
7.0%
노인요양공동생활가정 5
 
5.0%
방문간호 4
 
4.0%
복지용구 4
 
4.0%
치매전담실가형1실 1
 
1.0%
치매전담실나형1실 1
 
1.0%

Length

2024-01-10T07:12:15.544458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:15.654395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양 41
41.0%
방문목욕 27
27.0%
주야간보호 10
 
10.0%
노인요양시설(개정법 7
 
7.0%
노인요양공동생활가정 5
 
5.0%
방문간호 4
 
4.0%
복지용구 4
 
4.0%
치매전담실가형1실 1
 
1.0%
치매전담실나형1실 1
 
1.0%

장기요양기관
Text

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-01-10T07:12:15.879148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.29
Min length4

Characters and Unicode

Total characters929
Distinct characters123
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

Unique35 ?
Unique (%)35.0%

Sample

1st row보령사랑의집
2nd row청소노인요양공동생활가정
3rd row브라보 노인요양공동생활가정
4th row삼육소담노인요양공동생활가정
5th row보금자리요양원
ValueCountFrequency (%)
고운손실버재가복지센터 3
 
2.9%
힐링재가복지센터 3
 
2.9%
주)나눔복지센터 3
 
2.9%
보령밀알교회부설그루터기재가복지센터 3
 
2.9%
산돌간호재가복지센터 3
 
2.9%
은혜재가복지센터 2
 
1.9%
주)늘푸른복지센터 2
 
1.9%
동부케어재가복지센터 2
 
1.9%
보령지역자활센터 2
 
1.9%
보령통합재가센터 2
 
1.9%
Other values (58) 78
75.7%
2024-01-10T07:12:16.174146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 86
 
9.3%
센 83
 
8.9%
복 62
 
6.7%
지 59
 
6.4%
가 50
 
5.4%
재 42
 
4.5%
보 35
 
3.8%
양 27
 
2.9%
요 27
 
2.9%
령 22
 
2.4%
Other values (113) 436
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 908
97.7%
Open Punctuation 9
 
1.0%
Close Punctuation 9
 
1.0%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 86
 
9.5%
센 83
 
9.1%
복 62
 
6.8%
지 59
 
6.5%
가 50
 
5.5%
재 42
 
4.6%
보 35
 
3.9%
양 27
 
3.0%
요 27
 
3.0%
령 22
 
2.4%
Other values (110) 415
45.7%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 908
97.7%
Common 21
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 86
 
9.5%
센 83
 
9.1%
복 62
 
6.8%
지 59
 
6.5%
가 50
 
5.5%
재 42
 
4.6%
보 35
 
3.9%
양 27
 
3.0%
요 27
 
3.0%
령 22
 
2.4%
Other values (110) 415
45.7%
Common
ValueCountFrequency (%)
( 9
42.9%
) 9
42.9%
3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 908
97.7%
ASCII 21
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 86
 
9.5%
센 83
 
9.1%
복 62
 
6.8%
지 59
 
6.5%
가 50
 
5.5%
재 42
 
4.6%
보 35
 
3.9%
양 27
 
3.0%
요 27
 
3.0%
령 22
 
2.4%
Other values (110) 415
45.7%
ASCII
ValueCountFrequency (%)
( 9
42.9%
) 9
42.9%
3
 
14.3%

정원
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.73
Minimum0
Maximum107
Zeros76
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-10T07:12:16.277035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile46.1
Maximum107
Range107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.454619
Coefficient of variation (CV)2.5935541
Kurtosis14.03072
Mean6.73
Median Absolute Deviation (MAD)0
Skewness3.5305896
Sum673
Variance304.66374
MonotonicityNot monotonic
2024-01-10T07:12:16.360107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 76
76.0%
9 7
 
7.0%
2 1
 
1.0%
12 1
 
1.0%
20 1
 
1.0%
22 1
 
1.0%
19 1
 
1.0%
67 1
 
1.0%
18 1
 
1.0%
37 1
 
1.0%
Other values (9) 9
 
9.0%
ValueCountFrequency (%)
0 76
76.0%
2 1
 
1.0%
7 1
 
1.0%
9 7
 
7.0%
12 1
 
1.0%
13 1
 
1.0%
18 1
 
1.0%
19 1
 
1.0%
20 1
 
1.0%
22 1
 
1.0%
ValueCountFrequency (%)
107 1
1.0%
76 1
1.0%
67 1
1.0%
49 1
1.0%
48 1
1.0%
46 1
1.0%
38 1
1.0%
37 1
1.0%
29 1
1.0%
22 1
1.0%

전화번호
Text

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-01-10T07:12:16.554993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02
Min length12

Characters and Unicode

Total characters1202
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

Unique30 ?
Unique (%)30.0%

Sample

1st row041-931-3316
2nd row041-933-1337
3rd row041-934-6337
4th row041-934-3536
5th row041-932-1006
ValueCountFrequency (%)
041-931-1388 3
 
3.0%
041-933-5680 3
 
3.0%
041-931-6111 3
 
3.0%
041-934-7377 3
 
3.0%
041-932-6004 3
 
3.0%
041-935-8508 3
 
3.0%
041-934-6337 3
 
3.0%
041-931-0999 3
 
3.0%
041-641-5490 2
 
2.0%
041-933-1337 2
 
2.0%
Other values (51) 72
72.0%
2024-01-10T07:12:16.853083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
16.6%
1 163
13.6%
3 158
13.1%
4 156
13.0%
0 155
12.9%
9 134
11.1%
6 57
 
4.7%
5 53
 
4.4%
8 46
 
3.8%
7 40
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1002
83.4%
Dash Punctuation 200
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 163
16.3%
3 158
15.8%
4 156
15.6%
0 155
15.5%
9 134
13.4%
6 57
 
5.7%
5 53
 
5.3%
8 46
 
4.6%
7 40
 
4.0%
2 40
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
16.6%
1 163
13.6%
3 158
13.1%
4 156
13.0%
0 155
12.9%
9 134
11.1%
6 57
 
4.7%
5 53
 
4.4%
8 46
 
3.8%
7 40
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
16.6%
1 163
13.6%
3 158
13.1%
4 156
13.0%
0 155
12.9%
9 134
11.1%
6 57
 
4.7%
5 53
 
4.4%
8 46
 
3.8%
7 40
 
3.3%

방문목욕차량
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
무
96 
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 96
96.0%
유 4
 
4.0%

Length

2024-01-10T07:12:16.964254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:17.034029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 96
96.0%
유 4
 
4.0%

주소
Text

Distinct62
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-01-10T07:12:17.257380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length27.48
Min length22

Characters and Unicode

Total characters2748
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

Unique32 ?
Unique (%)32.0%

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 100
17.6%
보령시 100
17.6%
대천동 30
 
5.3%
동대동 22
 
3.9%
청소면 20
 
3.5%
남포면 16
 
2.8%
웅천읍 14
 
2.5%
천북면 10
 
1.8%
주교면 10
 
1.8%
14 7
 
1.2%
Other values (118) 239
42.1%
2024-01-10T07:12:17.611455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
654
23.8%
청 130
 
4.7%
남 122
 
4.4%
보 107
 
3.9%
령 107
 
3.9%
시 105
 
3.8%
충 101
 
3.7%
( 100
 
3.6%
도 100
 
3.6%
) 100
 
3.6%
Other values (99) 1122
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1533
55.8%
Space Separator 654
23.8%
Decimal Number 328
 
11.9%
Open Punctuation 100
 
3.6%
Close Punctuation 100
 
3.6%
Dash Punctuation 19
 
0.7%
Other Punctuation 14
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 130
 
8.5%
남 122
 
8.0%
보 107
 
7.0%
령 107
 
7.0%
시 105
 
6.8%
충 101
 
6.6%
도 100
 
6.5%
동 94
 
6.1%
면 68
 
4.4%
길 66
 
4.3%
Other values (83) 533
34.8%
Decimal Number
ValueCountFrequency (%)
1 58
17.7%
2 56
17.1%
3 46
14.0%
4 35
10.7%
5 32
9.8%
0 27
8.2%
6 26
7.9%
8 21
 
6.4%
7 14
 
4.3%
9 13
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
@ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
654
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1533
55.8%
Common 1215
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 130
 
8.5%
남 122
 
8.0%
보 107
 
7.0%
령 107
 
7.0%
시 105
 
6.8%
충 101
 
6.6%
도 100
 
6.5%
동 94
 
6.1%
면 68
 
4.4%
길 66
 
4.3%
Other values (83) 533
34.8%
Common
ValueCountFrequency (%)
654
53.8%
( 100
 
8.2%
) 100
 
8.2%
1 58
 
4.8%
2 56
 
4.6%
3 46
 
3.8%
4 35
 
2.9%
5 32
 
2.6%
0 27
 
2.2%
6 26
 
2.1%
Other values (6) 81
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1533
55.8%
ASCII 1215
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
654
53.8%
( 100
 
8.2%
) 100
 
8.2%
1 58
 
4.8%
2 56
 
4.6%
3 46
 
3.8%
4 35
 
2.9%
5 32
 
2.6%
0 27
 
2.2%
6 26
 
2.1%
Other values (6) 81
 
6.7%
Hangul
ValueCountFrequency (%)
청 130
 
8.5%
남 122
 
8.0%
보 107
 
7.0%
령 107
 
7.0%
시 105
 
6.8%
충 101
 
6.6%
도 100
 
6.5%
동 94
 
6.1%
면 68
 
4.4%
길 66
 
4.3%
Other values (83) 533
34.8%

Interactions

2024-01-10T07:12:15.010465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:14.886915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:15.077054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:14.949909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:12:17.916995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류장기요양기관정원전화번호방문목욕차량주소
연번1.0000.8450.0000.4190.0000.3780.000
급여종류0.8451.0000.6370.6260.0000.1890.000
장기요양기관0.0000.6371.0000.9301.0000.0001.000
정원0.4190.6260.9301.0000.9200.0000.937
전화번호0.0000.0001.0000.9201.0000.0001.000
방문목욕차량0.3780.1890.0000.0000.0001.0000.000
주소0.0000.0001.0000.9371.0000.0001.000
2024-01-10T07:12:18.000848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문목욕차량급여종류
방문목욕차량1.0000.179
급여종류0.1791.000
2024-01-10T07:12:18.068712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원급여종류방문목욕차량
연번1.000-0.0290.5940.277
정원-0.0291.0000.3670.000
급여종류0.5940.3671.0000.179
방문목욕차량0.2770.0000.1791.000

Missing values

2024-01-10T07:12:15.157906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:12:15.241691image/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)
45노인요양공동생활가정보금자리요양원13041-932-1006무충청남도 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)충청남도립요양원107041-933-3003무충청남도 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
9091주야간보호금빛주야간보호센터67041-934-6566무충청남도 보령시 청라면 백현장산길 2 (청라면)
9192주야간보호브라보재가요양센터19041-934-6337무충청남도 보령시 청소면 송덕신송길 337-61 (청소면)
9293주야간보호소망주야간보호센터9041-936-8430무충청남도 보령시 주교면 문화마을길 150-13 (주교면)
9394주야간보호(주)나눔복지센터9041-933-5680무충청남도 보령시 주공로 13 4층 (동대동)
9495주야간보호고운손실버재가복지센터9041-931-1388무충청남도 보령시 청소면 청소큰길 194 (청소면)
9596주야간보호행복한주야간보호센터9041-931-6111무충청남도 보령시 남포면 봉덕2길 14 (남포면)
9697주야간보호대천주야간보호센터22041-932-1800무충청남도 보령시 희망2길 39 (동대동)
9798주야간보호청소주야간보호센터20041-933-1337무충청남도 보령시 청소면 송덕신송길 337-60 (청소면)
9899치매전담실가형1실충청남도립요양원12041-933-3003무충청남도 보령시 주교면 척골길 233 (주교면)
99100치매전담실나형1실행복한집2041-931-6111무충청남도 보령시 남포면 봉덕2길 14 (남포면)