Overview

Dataset statistics

Number of variables7
Number of observations101
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

방문목욕차량 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
급여종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 급여종류High correlation
정원 is highly overall correlated with 급여종류 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
정원 has 82 (81.2%) zerosZeros

Reproduction

Analysis started2024-01-09 22:12:18.806742
Analysis finished2024-01-09 22:12:19.569493
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-10T07:12:19.628649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q126
median51
Q376
95-th percentile96
Maximum101
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.300171
Coefficient of variation (CV)0.57451315
Kurtosis-1.2
Mean51
Median Absolute Deviation (MAD)25
Skewness0
Sum5151
Variance858.5
MonotonicityStrictly increasing
2024-01-10T07:12:19.759447image/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 (91) 91
90.1%
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 (%)
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%
94 1
1.0%
93 1
1.0%
92 1
1.0%

급여종류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
방문요양
43 
방문목욕
30 
노인요양시설(개정법)
7 
주야간보호
6 
복지용구
5 
Other values (4)
10 

Length

Max length11
Median length4
Mean length4.8811881
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
방문요양 43
42.6%
방문목욕 30
29.7%
노인요양시설(개정법) 7
 
6.9%
주야간보호 6
 
5.9%
복지용구 5
 
5.0%
방문간호 4
 
4.0%
노인요양공동생활가정 4
 
4.0%
치매전담실가형1실 1
 
1.0%
치매전담실나형1실 1
 
1.0%

Length

2024-01-10T07:12:19.901220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:20.022733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양 43
42.6%
방문목욕 30
29.7%
노인요양시설(개정법 7
 
6.9%
주야간보호 6
 
5.9%
복지용구 5
 
5.0%
방문간호 4
 
4.0%
노인요양공동생활가정 4
 
4.0%
치매전담실가형1실 1
 
1.0%
치매전담실나형1실 1
 
1.0%

장기요양기관
Text

Distinct63
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-10T07:12:20.250584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.8118812
Min length4

Characters and Unicode

Total characters890
Distinct characters124
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

Unique30 ?
Unique (%)29.7%

Sample

1st row보령노인복지센터
2nd row보령밀알교회부설그루터기재가복지센터
3rd row금빛주야간보호센터
4th row브라보재가요양센터
5th row소망주야간보호센터
ValueCountFrequency (%)
보령노인복지센터 3
 
2.9%
산돌간호재가복지센터 3
 
2.9%
보령밀알교회부설그루터기재가복지센터 3
 
2.9%
한마음복지센터 3
 
2.9%
힐링재가복지센터 3
 
2.9%
충청남도립요양원 2
 
1.9%
천북재가복지센터 2
 
1.9%
보령지역자활센터 2
 
1.9%
행복재가센터 2
 
1.9%
행복한집 2
 
1.9%
Other values (55) 78
75.7%
2024-01-10T07:12:20.555215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 87
 
9.8%
센 84
 
9.4%
복 65
 
7.3%
지 64
 
7.2%
가 55
 
6.2%
재 48
 
5.4%
보 30
 
3.4%
요 22
 
2.5%
양 22
 
2.5%
령 19
 
2.1%
Other values (114) 394
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 876
98.4%
Open Punctuation 6
 
0.7%
Close Punctuation 6
 
0.7%
Space Separator 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 87
 
9.9%
센 84
 
9.6%
복 65
 
7.4%
지 64
 
7.3%
가 55
 
6.3%
재 48
 
5.5%
보 30
 
3.4%
요 22
 
2.5%
양 22
 
2.5%
령 19
 
2.2%
Other values (111) 380
43.4%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 876
98.4%
Common 14
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 87
 
9.9%
센 84
 
9.6%
복 65
 
7.4%
지 64
 
7.3%
가 55
 
6.3%
재 48
 
5.5%
보 30
 
3.4%
요 22
 
2.5%
양 22
 
2.5%
령 19
 
2.2%
Other values (111) 380
43.4%
Common
ValueCountFrequency (%)
( 6
42.9%
) 6
42.9%
2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 876
98.4%
ASCII 14
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 87
 
9.9%
센 84
 
9.6%
복 65
 
7.4%
지 64
 
7.3%
가 55
 
6.3%
재 48
 
5.5%
보 30
 
3.4%
요 22
 
2.5%
양 22
 
2.5%
령 19
 
2.2%
Other values (111) 380
43.4%
ASCII
ValueCountFrequency (%)
( 6
42.9%
) 6
42.9%
2
 
14.3%

정원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9108911
Minimum0
Maximum107
Zeros82
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-10T07:12:20.662154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation17.267947
Coefficient of variation (CV)2.9213779
Kurtosis15.816493
Mean5.9108911
Median Absolute Deviation (MAD)0
Skewness3.7874912
Sum597
Variance298.18198
MonotonicityNot monotonic
2024-01-10T07:12:20.744011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 82
81.2%
9 4
 
4.0%
29 2
 
2.0%
30 1
 
1.0%
2 1
 
1.0%
8 1
 
1.0%
80 1
 
1.0%
7 1
 
1.0%
47 1
 
1.0%
107 1
 
1.0%
Other values (6) 6
 
5.9%
ValueCountFrequency (%)
0 82
81.2%
2 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 4
 
4.0%
12 1
 
1.0%
22 1
 
1.0%
27 1
 
1.0%
29 2
 
2.0%
30 1
 
1.0%
ValueCountFrequency (%)
107 1
1.0%
80 1
1.0%
67 1
1.0%
48 1
1.0%
47 1
1.0%
46 1
1.0%
30 1
1.0%
29 2
2.0%
27 1
1.0%
22 1
1.0%

전화번호
Text

Distinct60
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-10T07:12:20.927865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019802
Min length12

Characters and Unicode

Total characters1214
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

Unique28 ?
Unique (%)27.7%

Sample

1st row041-931-7681
2nd row041-931-0999
3rd row041-934-6566
4th row041-934-6337
5th row041-936-8430
ValueCountFrequency (%)
041-931-6111 4
 
4.0%
041-932-6004 3
 
3.0%
041-935-8508 3
 
3.0%
041-931-0999 3
 
3.0%
041-932-5399 3
 
3.0%
041-931-7681 3
 
3.0%
041-933-5680 3
 
3.0%
041-934-6337 3
 
3.0%
041-934-8501 2
 
2.0%
041-935-4236 2
 
2.0%
Other values (50) 72
71.3%
2024-01-10T07:12:21.223887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 202
16.6%
1 168
13.8%
3 154
12.7%
0 151
12.4%
4 149
12.3%
9 143
11.8%
6 61
 
5.0%
5 57
 
4.7%
2 46
 
3.8%
7 43
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1012
83.4%
Dash Punctuation 202
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 168
16.6%
3 154
15.2%
0 151
14.9%
4 149
14.7%
9 143
14.1%
6 61
 
6.0%
5 57
 
5.6%
2 46
 
4.5%
7 43
 
4.2%
8 40
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 202
16.6%
1 168
13.8%
3 154
12.7%
0 151
12.4%
4 149
12.3%
9 143
11.8%
6 61
 
5.0%
5 57
 
4.7%
2 46
 
3.8%
7 43
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 202
16.6%
1 168
13.8%
3 154
12.7%
0 151
12.4%
4 149
12.3%
9 143
11.8%
6 61
 
5.0%
5 57
 
4.7%
2 46
 
3.8%
7 43
 
3.5%

방문목욕차량
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
71 
무
26 
유
 
4

Length

Max length4
Median length4
Mean length3.1089109
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 71
70.3%
무 26
 
25.7%
유 4
 
4.0%

Length

2024-01-10T07:12:21.338269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:21.422269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
70.3%
무 26
 
25.7%
유 4
 
4.0%

주소
Text

Distinct59
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-10T07:12:21.637317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length27.465347
Min length22

Characters and Unicode

Total characters2774
Distinct characters110
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

Unique26 ?
Unique (%)25.7%

Sample

1st row 충청남도 보령시 대천로 113 (죽정동)
2nd row 충청남도 보령시 서낭댕이길 11-1 (동대동)
3rd row 충청남도 보령시 청라면 백현장산길 2 (청라면)
4th row 충청남도 보령시 청소면 송덕신송길 337-61 (청소면)
5th row 충청남도 보령시 주교면 문화마을길 150-13 (주교면)
ValueCountFrequency (%)
충청남도 101
17.7%
보령시 101
17.7%
대천동 34
 
5.9%
웅천읍 18
 
3.1%
남포면 18
 
3.1%
동대동 17
 
3.0%
청소면 14
 
2.4%
천북면 10
 
1.7%
주교면 8
 
1.4%
14 7
 
1.2%
Other values (115) 244
42.7%
2024-01-10T07:12:21.997529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
24.3%
남 125
 
4.5%
청 124
 
4.5%
보 110
 
4.0%
령 110
 
4.0%
시 105
 
3.8%
충 102
 
3.7%
( 101
 
3.6%
도 101
 
3.6%
) 101
 
3.6%
Other values (100) 1122
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1545
55.7%
Space Separator 673
24.3%
Decimal Number 328
 
11.8%
Open Punctuation 101
 
3.6%
Close Punctuation 101
 
3.6%
Dash Punctuation 17
 
0.6%
Other Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 125
 
8.1%
청 124
 
8.0%
보 110
 
7.1%
령 110
 
7.1%
시 105
 
6.8%
충 102
 
6.6%
도 101
 
6.5%
동 92
 
6.0%
천 75
 
4.9%
길 66
 
4.3%
Other values (84) 535
34.6%
Decimal Number
ValueCountFrequency (%)
1 76
23.2%
2 50
15.2%
3 39
11.9%
4 37
11.3%
6 27
 
8.2%
0 26
 
7.9%
5 26
 
7.9%
8 19
 
5.8%
9 14
 
4.3%
7 14
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
@ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
673
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1545
55.7%
Common 1229
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 125
 
8.1%
청 124
 
8.0%
보 110
 
7.1%
령 110
 
7.1%
시 105
 
6.8%
충 102
 
6.6%
도 101
 
6.5%
동 92
 
6.0%
천 75
 
4.9%
길 66
 
4.3%
Other values (84) 535
34.6%
Common
ValueCountFrequency (%)
673
54.8%
( 101
 
8.2%
) 101
 
8.2%
1 76
 
6.2%
2 50
 
4.1%
3 39
 
3.2%
4 37
 
3.0%
6 27
 
2.2%
0 26
 
2.1%
5 26
 
2.1%
Other values (6) 73
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1545
55.7%
ASCII 1229
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
673
54.8%
( 101
 
8.2%
) 101
 
8.2%
1 76
 
6.2%
2 50
 
4.1%
3 39
 
3.2%
4 37
 
3.0%
6 27
 
2.2%
0 26
 
2.1%
5 26
 
2.1%
Other values (6) 73
 
5.9%
Hangul
ValueCountFrequency (%)
남 125
 
8.1%
청 124
 
8.0%
보 110
 
7.1%
령 110
 
7.1%
시 105
 
6.8%
충 102
 
6.6%
도 101
 
6.5%
동 92
 
6.0%
천 75
 
4.9%
길 66
 
4.3%
Other values (84) 535
34.6%

Interactions

2024-01-10T07:12:19.304557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:19.185108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:19.365703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:19.244513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:12:22.076946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류장기요양기관정원전화번호방문목욕차량주소
연번1.0000.8450.0000.3710.0000.6810.000
급여종류0.8451.0000.6880.7840.000NaN0.000
장기요양기관0.0000.6881.0000.8841.0001.0001.000
정원0.3710.7840.8841.0000.868NaN0.891
전화번호0.0000.0001.0000.8681.0001.0001.000
방문목욕차량0.681NaN1.000NaN1.0001.0001.000
주소0.0000.0001.0000.8911.0001.0001.000
2024-01-10T07:12:22.162132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문목욕차량급여종류
방문목욕차량1.0001.000
급여종류1.0001.000
2024-01-10T07:12:22.225117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원급여종류방문목욕차량
연번1.0000.2450.5810.460
정원0.2451.0000.5651.000
급여종류0.5810.5651.0001.000
방문목욕차량0.4601.0001.0001.000

Missing values

2024-01-10T07:12:19.448237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:12:19.534155image/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
01주야간보호보령노인복지센터30041-931-7681<NA>충청남도 보령시 대천로 113 (죽정동)
12주야간보호보령밀알교회부설그루터기재가복지센터27041-931-0999<NA>충청남도 보령시 서낭댕이길 11-1 (동대동)
23주야간보호금빛주야간보호센터67041-934-6566<NA>충청남도 보령시 청라면 백현장산길 2 (청라면)
34주야간보호브라보재가요양센터22041-934-6337<NA>충청남도 보령시 청소면 송덕신송길 337-61 (청소면)
45주야간보호소망주야간보호센터9041-936-8430<NA>충청남도 보령시 주교면 문화마을길 150-13 (주교면)
56주야간보호한마음복지센터9041-933-5680<NA>충청남도 보령시 주공로 13 4층 (동대동)
67방문간호보령방문간호재가센터0041-935-2225<NA>충청남도 보령시 보령북로 195 301호 (대천동, 흥화상가)
78방문간호삼광방문간호센터0041-933-7114<NA>충청남도 보령시 터미널길 8 106-1호 (궁촌동)
89방문간호힐링재가복지센터0041-935-8508<NA>충청남도 보령시 번영로 38 5층 (대천동)
910방문간호산돌간호재가복지센터0041-932-6004<NA>충청남도 보령시 명동로 4 (대천동)
연번급여종류장기요양기관정원전화번호방문목욕차량주소
9192치매전담실가형1실충청남도립요양원12041-933-3003<NA>충청남도 보령시 주교면 척골길 233 (주교면)
9293치매전담실나형1실행복한집2041-931-6111<NA>충청남도 보령시 남포면 봉덕2길 14 (남포면)
9394노인요양시설(개정법)행복한집47041-931-6111<NA>충청남도 보령시 남포면 봉덕2길 14 (남포면)
9495노인요양시설(개정법)살렘동산29041-641-8284<NA>충청남도 보령시 천북면 심박동길 81 (천북면)
9596노인요양공동생활가정보령사랑의집7041-931-3316<NA>충청남도 보령시 남포면 사현1길 62 (남포면)
9697노인요양시설(개정법)보령실버홈80041-933-6415<NA>충청남도 보령시 남포면 보령남로 205 (남포면)
9798노인요양공동생활가정브라보 노인요양공동생활가정9041-934-6337<NA>충청남도 보령시 청소면 송덕신송길 337-61 (청소면)
9899노인요양공동생활가정삼육소담노인요양공동생활가정9041-934-3536<NA>충청남도 보령시 청소면 마참길 42-27 (청소면)
99100노인요양시설(개정법)소화데레사의집29041-932-3918<NA>충청남도 보령시 대량비선재길 65-69 (신흑동)
100101노인요양공동생활가정보금자리요양원8041-933-6596<NA>충청남도 보령시 웅천읍 한내1길 270 (웅천읍)