Overview

Dataset statistics

Number of variables6
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory49.5 B

Variable types

Categorical3
Text3

Dataset

Description2022년 상반기 인천광역시 정신의료기관 현황 목록 ( 인천광역시 중구, 동구, 미추홀구, 연수구, 남동구, 부평구, 계양구, 서구, 강화군, 옹진군 내 정신의료기관 목록 현황 )
Author인천광역시
URLhttps://www.data.go.kr/data/15103427/fileData.do

Alerts

시도 has constant value ""Constant
병(의)원명 has unique valuesUnique
주소지 has unique valuesUnique
대표전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:17:19.733891
Analysis finished2023-12-12 15:17:20.341743
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
인천광역시
91 

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 91
100.0%

Length

2023-12-13T00:17:20.409137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:17:20.511604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 91
100.0%

군구
Categorical

Distinct10
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
남동구
17 
미추홀구
16 
부평구
16 
서구
12 
연수구
11 
Other values (5)
19 

Length

Max length4
Median length3
Mean length2.989011
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 17
18.7%
미추홀구 16
17.6%
부평구 16
17.6%
서구 12
13.2%
연수구 11
12.1%
계양구 10
11.0%
중구 4
 
4.4%
강화군 3
 
3.3%
중구 1
 
1.1%
동구 1
 
1.1%

Length

2023-12-13T00:17:20.645901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:17:20.774960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 17
18.7%
미추홀구 16
17.6%
부평구 16
17.6%
서구 12
13.2%
연수구 11
12.1%
계양구 10
11.0%
중구 5
 
5.5%
강화군 3
 
3.3%
동구 1
 
1.1%

병(의)원명
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T00:17:21.020593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.7912088
Min length3

Characters and Unicode

Total characters800
Distinct characters150
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st row예담병원
2nd row해주병원
3rd row마음튼튼의원
4th row고정선정신건강의학과
5th row인하대병원
ValueCountFrequency (%)
정신건강의학과의원 2
 
2.1%
예담병원 1
 
1.1%
공감정신과의원 1
 
1.1%
심우정신건강의학과의원 1
 
1.1%
방성우신경정신과의원 1
 
1.1%
윤충한정신과의원 1
 
1.1%
김종숙정신과의원 1
 
1.1%
김태수정신과의원 1
 
1.1%
최기은신경정신과의원 1
 
1.1%
정건연세정신과의원 1
 
1.1%
Other values (83) 83
88.3%
2023-12-13T00:17:21.456570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 85
 
10.6%
원 85
 
10.6%
신 67
 
8.4%
정 61
 
7.6%
과 57
 
7.1%
건 38
 
4.8%
학 37
 
4.6%
강 37
 
4.6%
병 31
 
3.9%
인 12
 
1.5%
Other values (140) 290
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 797
99.6%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 85
 
10.7%
원 85
 
10.7%
신 67
 
8.4%
정 61
 
7.7%
과 57
 
7.2%
건 38
 
4.8%
학 37
 
4.6%
강 37
 
4.6%
병 31
 
3.9%
인 12
 
1.5%
Other values (139) 287
36.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 797
99.6%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 85
 
10.7%
원 85
 
10.7%
신 67
 
8.4%
정 61
 
7.7%
과 57
 
7.2%
건 38
 
4.8%
학 37
 
4.6%
강 37
 
4.6%
병 31
 
3.9%
인 12
 
1.5%
Other values (139) 287
36.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 797
99.6%
ASCII 3
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 85
 
10.7%
원 85
 
10.7%
신 67
 
8.4%
정 61
 
7.7%
과 57
 
7.2%
건 38
 
4.8%
학 37
 
4.6%
강 37
 
4.6%
병 31
 
3.9%
인 12
 
1.5%
Other values (139) 287
36.0%
ASCII
ValueCountFrequency (%)
3
100.0%

기관구분
Categorical

Distinct10
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
6. 의원
47 
2. 정신병원
15 
4.의원
10 
1. 종합병원
7 
1. 종합병원
 
4
Other values (5)
8 

Length

Max length8
Median length5
Mean length5.5824176
Min length4

Unique

Unique3 ?
Unique (%)3.3%

Sample

1st row2. 정신병원
2nd row2. 정신병원
3rd row6. 의원
4th row6.의원
5th row1. 종합병원

Common Values

ValueCountFrequency (%)
6. 의원 47
51.6%
2. 정신병원 15
 
16.5%
4.의원 10
 
11.0%
1. 종합병원 7
 
7.7%
1. 종합병원 4
 
4.4%
1.종합병원 3
 
3.3%
2. 병원 2
 
2.2%
6.의원 1
 
1.1%
4. 의원 1
 
1.1%
3. 요양병원 1
 
1.1%

Length

2023-12-13T00:17:21.632225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:17:21.767132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 48
28.6%
6 47
28.0%
2 17
 
10.1%
정신병원 15
 
8.9%
1 11
 
6.5%
종합병원 11
 
6.5%
4.의원 10
 
6.0%
1.종합병원 3
 
1.8%
병원 2
 
1.2%
6.의원 1
 
0.6%
Other values (3) 3
 
1.8%

주소지
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T00:17:22.180408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length12.120879
Min length6

Characters and Unicode

Total characters1103
Distinct characters170
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st row내가면 해안서로 964(외포리)
2nd row하점면 창후로 286
3rd row강화읍 중앙로 27성용프라자302호
4th row인천중구참외전로134
5th row인항로 27
ValueCountFrequency (%)
2층 6
 
2.6%
경인로 4
 
1.8%
장제로 4
 
1.8%
부평구 4
 
1.8%
501호 3
 
1.3%
남동대로 3
 
1.3%
미추홀대로 3
 
1.3%
독배로 3
 
1.3%
8층 2
 
0.9%
청능대로 2
 
0.9%
Other values (181) 193
85.0%
2023-12-13T00:17:22.993078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
12.4%
로 87
 
7.9%
1 63
 
5.7%
2 52
 
4.7%
3 42
 
3.8%
0 37
 
3.4%
5 37
 
3.4%
4 33
 
3.0%
8 29
 
2.6%
6 29
 
2.6%
Other values (160) 557
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
51.3%
Decimal Number 371
33.6%
Space Separator 137
 
12.4%
Other Punctuation 10
 
0.9%
Dash Punctuation 8
 
0.7%
Math Symbol 5
 
0.5%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 87
 
15.4%
대 25
 
4.4%
층 22
 
3.9%
호 19
 
3.4%
인 17
 
3.0%
길 17
 
3.0%
번 15
 
2.7%
라 13
 
2.3%
동 13
 
2.3%
평 12
 
2.1%
Other values (144) 326
57.6%
Decimal Number
ValueCountFrequency (%)
1 63
17.0%
2 52
14.0%
3 42
11.3%
0 37
10.0%
5 37
10.0%
4 33
8.9%
8 29
7.8%
6 29
7.8%
7 28
7.5%
9 21
 
5.7%
Space Separator
ValueCountFrequency (%)
137
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
51.3%
Common 537
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 87
 
15.4%
대 25
 
4.4%
층 22
 
3.9%
호 19
 
3.4%
인 17
 
3.0%
길 17
 
3.0%
번 15
 
2.7%
라 13
 
2.3%
동 13
 
2.3%
평 12
 
2.1%
Other values (144) 326
57.6%
Common
ValueCountFrequency (%)
137
25.5%
1 63
11.7%
2 52
 
9.7%
3 42
 
7.8%
0 37
 
6.9%
5 37
 
6.9%
4 33
 
6.1%
8 29
 
5.4%
6 29
 
5.4%
7 28
 
5.2%
Other values (6) 50
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
51.3%
ASCII 537
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
25.5%
1 63
11.7%
2 52
 
9.7%
3 42
 
7.8%
0 37
 
6.9%
5 37
 
6.9%
4 33
 
6.1%
8 29
 
5.4%
6 29
 
5.4%
7 28
 
5.2%
Other values (6) 50
 
9.3%
Hangul
ValueCountFrequency (%)
로 87
 
15.4%
대 25
 
4.4%
층 22
 
3.9%
호 19
 
3.4%
인 17
 
3.0%
길 17
 
3.0%
번 15
 
2.7%
라 13
 
2.3%
동 13
 
2.3%
평 12
 
2.1%
Other values (144) 326
57.6%

대표전화
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T00:17:23.285367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.868132
Min length9

Characters and Unicode

Total characters1080
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

Unique91 ?
Unique (%)100.0%

Sample

1st row032-933-5222
2nd row032-933-7114
3rd row032-932-9998
4th row032-777-1182
5th row032-890-2114
ValueCountFrequency (%)
032-933-5222 1
 
1.1%
032-472-5280 1
 
1.1%
032-504-2202 1
 
1.1%
032-526-0012 1
 
1.1%
032-524-7272 1
 
1.1%
032-526-9203 1
 
1.1%
032-525-8700 1
 
1.1%
032-437-0330 1
 
1.1%
032-526-1900 1
 
1.1%
032-509-5555 1
 
1.1%
Other values (81) 81
89.0%
2023-12-13T00:17:23.739775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 178
16.5%
0 174
16.1%
2 159
14.7%
3 136
12.6%
5 104
9.6%
1 65
 
6.0%
7 64
 
5.9%
8 59
 
5.5%
4 59
 
5.5%
9 46
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 902
83.5%
Dash Punctuation 178
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 174
19.3%
2 159
17.6%
3 136
15.1%
5 104
11.5%
1 65
 
7.2%
7 64
 
7.1%
8 59
 
6.5%
4 59
 
6.5%
9 46
 
5.1%
6 36
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1080
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 178
16.5%
0 174
16.1%
2 159
14.7%
3 136
12.6%
5 104
9.6%
1 65
 
6.0%
7 64
 
5.9%
8 59
 
5.5%
4 59
 
5.5%
9 46
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 178
16.5%
0 174
16.1%
2 159
14.7%
3 136
12.6%
5 104
9.6%
1 65
 
6.0%
7 64
 
5.9%
8 59
 
5.5%
4 59
 
5.5%
9 46
 
4.3%

Correlations

2023-12-13T00:17:23.861765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구병(의)원명기관구분주소지대표전화
군구1.0001.0000.8161.0001.000
병(의)원명1.0001.0001.0001.0001.000
기관구분0.8161.0001.0001.0001.000
주소지1.0001.0001.0001.0001.000
대표전화1.0001.0001.0001.0001.000
2023-12-13T00:17:23.974516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구기관구분
군구1.0000.380
기관구분0.3801.000
2023-12-13T00:17:24.058448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구기관구분
군구1.0000.380
기관구분0.3801.000

Missing values

2023-12-13T00:17:20.187509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:17:20.291802image/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

시도군구병(의)원명기관구분주소지대표전화
0인천광역시강화군예담병원2. 정신병원내가면 해안서로 964(외포리)032-933-5222
1인천광역시강화군해주병원2. 정신병원하점면 창후로 286032-933-7114
2인천광역시강화군마음튼튼의원6. 의원강화읍 중앙로 27성용프라자302호032-932-9998
3인천광역시중구고정선정신건강의학과6.의원인천중구참외전로134032-777-1182
4인천광역시중구인하대병원1. 종합병원인항로 27032-890-2114
5인천광역시중구장형주정신건강의학과의원6. 의원흰바위로 31 304호032-214-8188
6인천광역시중구영종따듯한정신건강의학과의원6. 의원자연대로 47 스타타워2 501호032-752-7900
7인천광역시중구인천기독병원1. 종합병원답동로30번길 10032-270-8000
8인천광역시동구인천광역시의료원1.종합병원방축로 217032-580-6000
9인천광역시미추홀구지성병원2. 정신병원아암대로 109 청솔프라자 5~8층032-862-5544
시도군구병(의)원명기관구분주소지대표전화
81인천광역시서구인천참사랑병원2. 정신병원원창로 240번길 9032-571-9111
82인천광역시서구조은정신건강의학과의원6. 의원원당대로 860 보람프라자 7, 8층032-564-6655
83인천광역시서구가톨릭관동대학교 국제성모병원1. 종합병원심곡로 100번길 251600-8291
84인천광역시서구나은병원1. 종합병원원적로 231661-0099
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