Overview

Dataset statistics

Number of variables8
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory66.2 B

Variable types

Numeric1
Text3
Categorical4

Dataset

Description인천광역시 정신보건시설 현황 자료를 제공합니다. 정신보건법에 따라 정신보건시설인 정신의료기관, 정신질환자 사회복귀시설 및 정신요양시설을 안내합니다.
URLhttps://www.data.go.kr/data/15104437/fileData.do

Alerts

시도 has constant value ""Constant
시설종류 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 시설구분 and 1 other fieldsHigh correlation
군구 is highly overall correlated with 연번High correlation
시설구분 is highly imbalanced (57.3%)Imbalance
연번 has unique valuesUnique
시설명_병(의)원명 has unique valuesUnique
나머지 주소 has unique valuesUnique
대표전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:05:01.408499
Analysis finished2023-12-12 08:05:02.186544
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T17:05:02.270696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2023-12-12T17:05:02.407640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 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%
Other values (100) 100
90.9%
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 (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
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%
Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T17:05:02.626845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.4636364
Min length3

Characters and Unicode

Total characters931
Distinct characters181
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st row희망일터
2nd row라온숨
3rd row라온제나
4th row미추홀하우스
5th row꿈의 둥지
ValueCountFrequency (%)
희망일터 1
 
0.9%
참정신건강의학과의원 1
 
0.9%
김종숙정신과의원 1
 
0.9%
김태수정신과의원 1
 
0.9%
최기은신경정신과의원 1
 
0.9%
정건연세정신과의원 1
 
0.9%
부평세림병원 1
 
0.9%
공감정신과의원 1
 
0.9%
근로복지공단인천병원 1
 
0.9%
인천바오로병원 1
 
0.9%
Other values (106) 106
91.4%
2023-12-12T17:05:03.018940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
10.8%
97
 
10.4%
69
 
7.4%
65
 
7.0%
58
 
6.2%
38
 
4.1%
37
 
4.0%
37
 
4.0%
31
 
3.3%
15
 
1.6%
Other values (171) 383
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 920
98.8%
Space Separator 6
 
0.6%
Uppercase Letter 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
101
 
11.0%
97
 
10.5%
69
 
7.5%
65
 
7.1%
58
 
6.3%
38
 
4.1%
37
 
4.0%
37
 
4.0%
31
 
3.4%
15
 
1.6%
Other values (165) 372
40.4%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
H 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 920
98.8%
Common 8
 
0.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
101
 
11.0%
97
 
10.5%
69
 
7.5%
65
 
7.1%
58
 
6.3%
38
 
4.1%
37
 
4.0%
37
 
4.0%
31
 
3.4%
15
 
1.6%
Other values (165) 372
40.4%
Common
ValueCountFrequency (%)
6
75.0%
) 1
 
12.5%
( 1
 
12.5%
Latin
ValueCountFrequency (%)
E 1
33.3%
H 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 920
98.8%
ASCII 11
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
101
 
11.0%
97
 
10.5%
69
 
7.5%
65
 
7.1%
58
 
6.3%
38
 
4.1%
37
 
4.0%
37
 
4.0%
31
 
3.4%
15
 
1.6%
Other values (165) 372
40.4%
ASCII
ValueCountFrequency (%)
6
54.5%
) 1
 
9.1%
E 1
 
9.1%
H 1
 
9.1%
T 1
 
9.1%
( 1
 
9.1%

시설구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
정신의료기관
94 
정신재활시설
14 
정신요양시설
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정신의료기관 94
85.5%
정신재활시설 14
 
12.7%
정신요양시설 2
 
1.8%

Length

2023-12-12T17:05:03.151705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:05:03.265988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정신의료기관 94
85.5%
정신재활시설 14
 
12.7%
정신요양시설 2
 
1.8%

시설종류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1012.0 B
의원
62 
정신병원
16 
종합병원
11 
공동생활가정
주간재활시설
 
4
Other values (5)

Length

Max length6
Median length2
Mean length3.1909091
Min length2

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st row직업재활시설
2nd row공동생활가정
3rd row공동생활가정
4th row공동생활가정
5th row공동생활가정

Common Values

ValueCountFrequency (%)
의원 62
56.4%
정신병원 16
 
14.5%
종합병원 11
 
10.0%
공동생활가정 9
 
8.2%
주간재활시설 4
 
3.6%
구분없음 2
 
1.8%
종합병원 2
 
1.8%
병원 2
 
1.8%
직업재활시설 1
 
0.9%
요양병원 1
 
0.9%

Length

2023-12-12T17:05:03.394367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:05:03.529048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 62
56.4%
정신병원 16
 
14.5%
종합병원 13
 
11.8%
공동생활가정 9
 
8.2%
주간재활시설 4
 
3.6%
구분없음 2
 
1.8%
병원 2
 
1.8%
직업재활시설 1
 
0.9%
요양병원 1
 
0.9%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
인천광역시
110 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 110
100.0%

Length

2023-12-12T17:05:03.653210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:05:03.797825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 110
100.0%

군구
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
남동구
19 
미추홀구
18 
부평구
18 
서구
15 
연수구
14 
Other values (4)
26 

Length

Max length4
Median length3
Mean length2.9545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강화군
2nd row중구
3rd row동구
4th row미추홀구
5th row미추홀구

Common Values

ValueCountFrequency (%)
남동구 19
17.3%
미추홀구 18
16.4%
부평구 18
16.4%
서구 15
13.6%
연수구 14
12.7%
계양구 13
11.8%
중구 6
 
5.5%
강화군 5
 
4.5%
동구 2
 
1.8%

Length

2023-12-12T17:05:03.945566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:05:04.107814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 19
17.3%
미추홀구 18
16.4%
부평구 18
16.4%
서구 15
13.6%
연수구 14
12.7%
계양구 13
11.8%
중구 6
 
5.5%
강화군 5
 
4.5%
동구 2
 
1.8%

나머지 주소
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T17:05:04.443977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length14.490909
Min length6

Characters and Unicode

Total characters1594
Distinct characters197
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st row화도면 마니산로 359, 1004호
2nd row도원로 20번길 34 대건하이츠 202호
3rd row화도로 50번길 12, 푸른좋은집 B01호
4th row경인로 268번길 33-13
5th row소성로 318번길 18-26, 현빌리지 301,302호
ValueCountFrequency (%)
2층 7
 
2.1%
5층 6
 
1.8%
경인로 6
 
1.8%
송도동 6
 
1.8%
3층 6
 
1.8%
17 4
 
1.2%
장제로 4
 
1.2%
202호 3
 
0.9%
54 3
 
0.9%
22 3
 
0.9%
Other values (245) 278
85.3%
2023-12-12T17:05:04.909755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
13.7%
106
 
6.6%
1 86
 
5.4%
2 75
 
4.7%
3 64
 
4.0%
0 63
 
4.0%
5 46
 
2.9%
6 45
 
2.8%
4 41
 
2.6%
8 40
 
2.5%
Other values (187) 809
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 760
47.7%
Decimal Number 519
32.6%
Space Separator 219
 
13.7%
Other Punctuation 38
 
2.4%
Open Punctuation 17
 
1.1%
Close Punctuation 17
 
1.1%
Dash Punctuation 15
 
0.9%
Uppercase Letter 6
 
0.4%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
106
 
13.9%
35
 
4.6%
33
 
4.3%
32
 
4.2%
29
 
3.8%
28
 
3.7%
27
 
3.6%
15
 
2.0%
14
 
1.8%
12
 
1.6%
Other values (166) 429
56.4%
Decimal Number
ValueCountFrequency (%)
1 86
16.6%
2 75
14.5%
3 64
12.3%
0 63
12.1%
5 46
8.9%
6 45
8.7%
4 41
7.9%
8 40
7.7%
7 34
 
6.6%
9 25
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
X 1
16.7%
T 1
16.7%
G 1
16.7%
Space Separator
ValueCountFrequency (%)
219
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 828
51.9%
Hangul 760
47.7%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
106
 
13.9%
35
 
4.6%
33
 
4.3%
32
 
4.2%
29
 
3.8%
28
 
3.7%
27
 
3.6%
15
 
2.0%
14
 
1.8%
12
 
1.6%
Other values (166) 429
56.4%
Common
ValueCountFrequency (%)
219
26.4%
1 86
 
10.4%
2 75
 
9.1%
3 64
 
7.7%
0 63
 
7.6%
5 46
 
5.6%
6 45
 
5.4%
4 41
 
5.0%
8 40
 
4.8%
, 38
 
4.6%
Other values (6) 111
13.4%
Latin
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
X 1
16.7%
T 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 834
52.3%
Hangul 760
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
26.3%
1 86
 
10.3%
2 75
 
9.0%
3 64
 
7.7%
0 63
 
7.6%
5 46
 
5.5%
6 45
 
5.4%
4 41
 
4.9%
8 40
 
4.8%
, 38
 
4.6%
Other values (11) 117
14.0%
Hangul
ValueCountFrequency (%)
106
 
13.9%
35
 
4.6%
33
 
4.3%
32
 
4.2%
29
 
3.8%
28
 
3.7%
27
 
3.6%
15
 
2.0%
14
 
1.8%
12
 
1.6%
Other values (166) 429
56.4%

대표전화
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T17:05:05.501441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.936364
Min length9

Characters and Unicode

Total characters1313
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

Unique110 ?
Unique (%)100.0%

Sample

1st row032-937-6801
2nd row032-216-5678
3rd row070-4038-8384
4th row032-872-0320
5th row070-8616-4587
ValueCountFrequency (%)
032-937-6801 1
 
0.9%
032-467-0467 1
 
0.9%
032-526-9203 1
 
0.9%
032-525-8700 1
 
0.9%
032-437-0330 1
 
0.9%
032-526-1900 1
 
0.9%
032-509-5555 1
 
0.9%
032-527-5070 1
 
0.9%
032-500-0114 1
 
0.9%
032-525-7080 1
 
0.9%
Other values (100) 100
90.9%
2023-12-12T17:05:05.908129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
16.5%
- 216
16.5%
2 186
14.2%
3 168
12.8%
5 115
8.8%
7 88
6.7%
1 78
 
5.9%
8 77
 
5.9%
4 74
 
5.6%
6 48
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1097
83.5%
Dash Punctuation 216
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
19.8%
2 186
17.0%
3 168
15.3%
5 115
10.5%
7 88
8.0%
1 78
 
7.1%
8 77
 
7.0%
4 74
 
6.7%
6 48
 
4.4%
9 46
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
16.5%
- 216
16.5%
2 186
14.2%
3 168
12.8%
5 115
8.8%
7 88
6.7%
1 78
 
5.9%
8 77
 
5.9%
4 74
 
5.6%
6 48
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
16.5%
- 216
16.5%
2 186
14.2%
3 168
12.8%
5 115
8.8%
7 88
6.7%
1 78
 
5.9%
8 77
 
5.9%
4 74
 
5.6%
6 48
 
3.7%

Interactions

2023-12-12T17:05:01.845279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:05:06.005481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시설종류군구
연번1.0000.7880.7700.859
시설구분0.7881.0001.0000.268
시설종류0.7701.0001.0000.487
군구0.8590.2680.4871.000
2023-12-12T17:05:06.098308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구시설종류시설구분
군구1.0000.2430.116
시설종류0.2431.0000.967
시설구분0.1160.9671.000
2023-12-12T17:05:06.179381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시설종류군구
연번1.0000.6510.3360.617
시설구분0.6511.0000.9670.116
시설종류0.3360.9671.0000.243
군구0.6170.1160.2431.000

Missing values

2023-12-12T17:05:01.972759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:05:02.128517image/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

연번시설명_병(의)원명시설구분시설종류시도군구나머지 주소대표전화
01희망일터정신재활시설직업재활시설인천광역시강화군화도면 마니산로 359, 1004호032-937-6801
12라온숨정신재활시설공동생활가정인천광역시중구도원로 20번길 34 대건하이츠 202호032-216-5678
23라온제나정신재활시설공동생활가정인천광역시동구화도로 50번길 12, 푸른좋은집 B01호070-4038-8384
34미추홀하우스정신재활시설공동생활가정인천광역시미추홀구경인로 268번길 33-13032-872-0320
45꿈의 둥지정신재활시설공동생활가정인천광역시미추홀구소성로 318번길 18-26, 현빌리지 301,302호070-8616-4587
56새누리정신재활시설주간재활시설인천광역시연수구앵고개로 183 남동부수도사업소 2층032-813-4760
67리앤리정신재활시설공동생활가정인천광역시연수구한나루로 186번길 54, 201호, B01호032-207-9477
78해피하우스정신재활시설공동생활가정인천광역시연수구한나루로 186번길 54, 101호070-4090-0811
89그루터기정신재활시설주간재활시설인천광역시남동구담방서로23번길 17, 3층032-472-6419
910마음자리정신재활시설공동생활가정인천광역시남동구경인로 599번길 26-6, 좋은하루 다동 201, 202호032-502-7081
연번시설명_병(의)원명시설구분시설종류시도군구나머지 주소대표전화
100101조은정신건강의학과의원정신의료기관의원인천광역시서구원당대로860 보람프라자 7층,8층(803호)032-564-6655
101102고정신건강의학과의원정신의료기관의원인천광역시서구가정로 363 그린빌딩 2층032-572-0572
102103나은병원정신의료기관종합병원인천광역시서구원적로 231661-0099
103104더(THE)조은정신건강의학과의원정신의료기관의원인천광역시서구원당대로860 보람프라자 8층(804호)032-564-7505
104105마음정신건강의학과의원정신의료기관의원인천광역시서구서곶로 293, 우민빌딩 501호032-226-7302
105106마음행복정신건강의학과의원정신의료기관의원인천광역시서구중봉대로 586번길 9-4 쓰리엠타워 504-505032-566-0700
106107맑은마음의원정신의료기관의원인천광역시서구이음대로 388 7층032-266-3131
107108부모와아이마음의원정신의료기관의원인천광역시서구청라라임로 65, 라임타워 402호0332-562-5248
108109성모센트럴정신건강의학과의원정신의료기관의원인천광역시서구염곡로464번길 7(성도메디피아) 5층 501~502호032-710-7541
109110아름드리정신건강의학과의원정신의료기관의원인천광역시서구완정로 172 서주빌딩 406호032-568-7559