Overview

Dataset statistics

Number of variables7
Number of observations138
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory59.0 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description인천광역시 중구 관내에 위치한 의료기관현황에 대한 데이터 입니다.파일명 인천광역시_중구_의료기관현황파일내용 의료기관명, 의료기관전화번호, 우편번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3043957&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
병상 is highly overall correlated with 의료기관종별High correlation
의료기관종별 is highly overall correlated with 병상High correlation
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
병상 has 117 (84.8%) zerosZeros

Reproduction

Analysis started2024-01-28 08:04:35.577529
Analysis finished2024-01-28 08:04:36.503803
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.5
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-01-28T17:04:36.560235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.85
Q135.25
median69.5
Q3103.75
95-th percentile131.15
Maximum138
Range137
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation39.981246
Coefficient of variation (CV)0.57526972
Kurtosis-1.2
Mean69.5
Median Absolute Deviation (MAD)34.5
Skewness0
Sum9591
Variance1598.5
MonotonicityStrictly increasing
2024-01-28T17:04:36.680345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
105 1
 
0.7%
Other values (128) 128
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%

의료기관명
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T17:04:36.873312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8
Min length3

Characters and Unicode

Total characters1104
Distinct characters199
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)100.0%

Sample

1st row슈어치과교정과치과병원
2nd row스카이한방병원
3rd row(의)성세의료재단 영종국제병원
4th row고은요양병원
5th row가천대부속 동인천길병원
ValueCountFrequency (%)
영종 2
 
1.3%
슈어치과교정과치과병원 1
 
0.7%
연세비뇨기과의원 1
 
0.7%
영종연세치과의원 1
 
0.7%
모아연합소아청소년과의원 1
 
0.7%
l아름다운치과의원 1
 
0.7%
온누리내과의원 1
 
0.7%
베스트이비인후과의원 1
 
0.7%
행림한의원 1
 
0.7%
신제일산부인과의원 1
 
0.7%
Other values (138) 138
92.6%
2024-01-28T17:04:37.155512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 143
 
13.0%
의 137
 
12.4%
과 89
 
8.1%
치 40
 
3.6%
한 25
 
2.3%
영 21
 
1.9%
하 19
 
1.7%
인 19
 
1.7%
종 18
 
1.6%
이 18
 
1.6%
Other values (189) 575
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1072
97.1%
Space Separator 11
 
1.0%
Decimal Number 10
 
0.9%
Uppercase Letter 9
 
0.8%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 143
 
13.3%
의 137
 
12.8%
과 89
 
8.3%
치 40
 
3.7%
한 25
 
2.3%
영 21
 
2.0%
하 19
 
1.8%
인 19
 
1.8%
종 18
 
1.7%
이 18
 
1.7%
Other values (176) 543
50.7%
Uppercase Letter
ValueCountFrequency (%)
E 3
33.3%
T 2
22.2%
H 2
22.2%
L 1
 
11.1%
M 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
3 2
20.0%
6 2
20.0%
5 2
20.0%
1 1
 
10.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1072
97.1%
Common 23
 
2.1%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 143
 
13.3%
의 137
 
12.8%
과 89
 
8.3%
치 40
 
3.7%
한 25
 
2.3%
영 21
 
2.0%
하 19
 
1.8%
인 19
 
1.8%
종 18
 
1.7%
이 18
 
1.7%
Other values (176) 543
50.7%
Common
ValueCountFrequency (%)
11
47.8%
2 3
 
13.0%
3 2
 
8.7%
6 2
 
8.7%
5 2
 
8.7%
1 1
 
4.3%
) 1
 
4.3%
( 1
 
4.3%
Latin
ValueCountFrequency (%)
E 3
33.3%
T 2
22.2%
H 2
22.2%
L 1
 
11.1%
M 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
97.1%
ASCII 32
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 143
 
13.3%
의 137
 
12.8%
과 89
 
8.3%
치 40
 
3.7%
한 25
 
2.3%
영 21
 
2.0%
하 19
 
1.8%
인 19
 
1.8%
종 18
 
1.7%
이 18
 
1.7%
Other values (176) 543
50.7%
ASCII
ValueCountFrequency (%)
11
34.4%
E 3
 
9.4%
2 3
 
9.4%
T 2
 
6.2%
H 2
 
6.2%
3 2
 
6.2%
6 2
 
6.2%
5 2
 
6.2%
L 1
 
3.1%
M 1
 
3.1%
Other values (3) 3
 
9.4%

의료기관종별
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
의원
70 
치과의원
37 
한의원
20 
요양병원(일반요양병원)
 
4
한방병원
 
2
Other values (3)
 
5

Length

Max length12
Median length2
Mean length3.0434783
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row치과병원
2nd row한방병원
3rd row병원
4th row요양병원(일반요양병원)
5th row병원

Common Values

ValueCountFrequency (%)
의원 70
50.7%
치과의원 37
26.8%
한의원 20
 
14.5%
요양병원(일반요양병원) 4
 
2.9%
한방병원 2
 
1.4%
병원 2
 
1.4%
종합병원 2
 
1.4%
치과병원 1
 
0.7%

Length

2024-01-28T17:04:37.264280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:04:37.359682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 70
50.7%
치과의원 37
26.8%
한의원 20
 
14.5%
요양병원(일반요양병원 4
 
2.9%
한방병원 2
 
1.4%
병원 2
 
1.4%
종합병원 2
 
1.4%
치과병원 1
 
0.7%

의료기관주소(도로명)
Text

Distinct131
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T17:04:37.578725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length32.427536
Min length20

Characters and Unicode

Total characters4475
Distinct characters148
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

Unique124 ?
Unique (%)89.9%

Sample

1st row인천광역시 중구 하늘중앙로225번길 3-0, 301302호 (중산동,영종M타워)
2nd row인천광역시 중구 자연대로 47-0, 4층 (중산동)
3rd row인천광역시 중구 하늘별빛로65번길 7-9, 3,4층 (중산동)
4th row인천광역시 중구 연안부두로21번길 11-12 (항동7가)
5th row인천광역시 중구 큰우물로 21 (용동, 지하1층, 1층, 3~5층, 8층)
ValueCountFrequency (%)
인천광역시 138
 
15.5%
중구 138
 
15.5%
중산동 43
 
4.8%
운서동 31
 
3.5%
3층 21
 
2.4%
2층 20
 
2.2%
우현로 20
 
2.2%
4층 16
 
1.8%
흰바위로 14
 
1.6%
인현동 10
 
1.1%
Other values (215) 441
49.4%
2024-01-28T17:04:37.929692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
754
 
16.8%
중 198
 
4.4%
, 166
 
3.7%
인 155
 
3.5%
시 149
 
3.3%
) 143
 
3.2%
( 143
 
3.2%
천 142
 
3.2%
로 141
 
3.2%
동 141
 
3.2%
Other values (138) 2343
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2462
55.0%
Decimal Number 769
 
17.2%
Space Separator 754
 
16.8%
Other Punctuation 166
 
3.7%
Close Punctuation 143
 
3.2%
Open Punctuation 143
 
3.2%
Dash Punctuation 20
 
0.4%
Math Symbol 15
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 198
 
8.0%
인 155
 
6.3%
시 149
 
6.1%
천 142
 
5.8%
로 141
 
5.7%
동 141
 
5.7%
역 140
 
5.7%
광 138
 
5.6%
구 138
 
5.6%
층 94
 
3.8%
Other values (121) 1026
41.7%
Decimal Number
ValueCountFrequency (%)
1 128
16.6%
3 121
15.7%
4 109
14.2%
2 89
11.6%
0 87
11.3%
5 70
9.1%
7 52
6.8%
6 45
 
5.9%
9 39
 
5.1%
8 29
 
3.8%
Space Separator
ValueCountFrequency (%)
754
100.0%
Other Punctuation
ValueCountFrequency (%)
, 166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2462
55.0%
Common 2010
44.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 198
 
8.0%
인 155
 
6.3%
시 149
 
6.1%
천 142
 
5.8%
로 141
 
5.7%
동 141
 
5.7%
역 140
 
5.7%
광 138
 
5.6%
구 138
 
5.6%
층 94
 
3.8%
Other values (121) 1026
41.7%
Common
ValueCountFrequency (%)
754
37.5%
, 166
 
8.3%
) 143
 
7.1%
( 143
 
7.1%
1 128
 
6.4%
3 121
 
6.0%
4 109
 
5.4%
2 89
 
4.4%
0 87
 
4.3%
5 70
 
3.5%
Other values (6) 200
 
10.0%
Latin
ValueCountFrequency (%)
M 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2462
55.0%
ASCII 2013
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
754
37.5%
, 166
 
8.2%
) 143
 
7.1%
( 143
 
7.1%
1 128
 
6.4%
3 121
 
6.0%
4 109
 
5.4%
2 89
 
4.4%
0 87
 
4.3%
5 70
 
3.5%
Other values (7) 203
 
10.1%
Hangul
ValueCountFrequency (%)
중 198
 
8.0%
인 155
 
6.3%
시 149
 
6.1%
천 142
 
5.8%
로 141
 
5.7%
동 141
 
5.7%
역 140
 
5.7%
광 138
 
5.6%
구 138
 
5.6%
층 94
 
3.8%
Other values (121) 1026
41.7%

의료기관전화번호
Text

Distinct135
Distinct (%)98.5%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-01-28T17:04:38.128205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.956204
Min length9

Characters and Unicode

Total characters1638
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)97.1%

Sample

1st row032-752-2891
2nd row032-752-1079
3rd row032-721-3000
4th row032-715-5933
5th row032-770-1300
ValueCountFrequency (%)
032-210-2270 2
 
1.5%
032-770-1300 2
 
1.5%
032-751-7582 1
 
0.7%
032-885-7582 1
 
0.7%
032-889-3378 1
 
0.7%
032-772-2877 1
 
0.7%
032-882-5353 1
 
0.7%
032-766-0075 1
 
0.7%
032-752-2008 1
 
0.7%
032-772-7474 1
 
0.7%
Other values (125) 125
91.2%
2024-01-28T17:04:38.423649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 271
16.5%
2 255
15.6%
7 232
14.2%
0 218
13.3%
3 186
11.4%
8 110
6.7%
5 109
6.7%
1 87
 
5.3%
6 71
 
4.3%
4 61
 
3.7%
Other values (2) 38
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1366
83.4%
Dash Punctuation 271
 
16.5%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 255
18.7%
7 232
17.0%
0 218
16.0%
3 186
13.6%
8 110
8.1%
5 109
8.0%
1 87
 
6.4%
6 71
 
5.2%
4 61
 
4.5%
9 37
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1638
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 271
16.5%
2 255
15.6%
7 232
14.2%
0 218
13.3%
3 186
11.4%
8 110
6.7%
5 109
6.7%
1 87
 
5.3%
6 71
 
4.3%
4 61
 
3.7%
Other values (2) 38
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1638
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 271
16.5%
2 255
15.6%
7 232
14.2%
0 218
13.3%
3 186
11.4%
8 110
6.7%
5 109
6.7%
1 87
 
5.3%
6 71
 
4.3%
4 61
 
3.7%
Other values (2) 38
 
2.3%

병상
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum0
Maximum901
Zeros117
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-01-28T17:04:38.524807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.45
Maximum901
Range901
Interquartile range (IQR)0

Descriptive statistics

Standard deviation83.446845
Coefficient of variation (CV)5.3836674
Kurtosis94.222848
Mean15.5
Median Absolute Deviation (MAD)0
Skewness9.1282738
Sum2139
Variance6963.3759
MonotonicityNot monotonic
2024-01-28T17:04:38.605999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 117
84.8%
1 3
 
2.2%
2 2
 
1.4%
40 1
 
0.7%
13 1
 
0.7%
4 1
 
0.7%
28 1
 
0.7%
23 1
 
0.7%
5 1
 
0.7%
24 1
 
0.7%
Other values (9) 9
 
6.5%
ValueCountFrequency (%)
0 117
84.8%
1 3
 
2.2%
2 2
 
1.4%
4 1
 
0.7%
5 1
 
0.7%
13 1
 
0.7%
23 1
 
0.7%
24 1
 
0.7%
28 1
 
0.7%
40 1
 
0.7%
ValueCountFrequency (%)
901 1
0.7%
216 1
0.7%
189 1
0.7%
170 1
0.7%
164 1
0.7%
118 1
0.7%
100 1
0.7%
77 1
0.7%
60 1
0.7%
40 1
0.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-05-18
138 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-18
2nd row2023-05-18
3rd row2023-05-18
4th row2023-05-18
5th row2023-05-18

Common Values

ValueCountFrequency (%)
2023-05-18 138
100.0%

Length

2024-01-28T17:04:38.700661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:04:38.774131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-18 138
100.0%

Interactions

2024-01-28T17:04:36.003162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:04:35.854311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:04:36.068080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:04:35.936197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:04:38.816518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별병상
순번1.0000.5250.490
의료기관종별0.5251.0000.949
병상0.4900.9491.000
2024-01-28T17:04:38.883800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번병상의료기관종별
순번1.000-0.3610.280
병상-0.3611.0000.692
의료기관종별0.2800.6921.000

Missing values

2024-01-28T17:04:36.359144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:04:36.453860image/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

순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호병상데이터기준일자
01슈어치과교정과치과병원치과병원인천광역시 중구 하늘중앙로225번길 3-0, 301302호 (중산동,영종M타워)032-752-289102023-05-18
12스카이한방병원한방병원인천광역시 중구 자연대로 47-0, 4층 (중산동)032-752-1079402023-05-18
23(의)성세의료재단 영종국제병원병원인천광역시 중구 하늘별빛로65번길 7-9, 3,4층 (중산동)032-721-3000772023-05-18
34고은요양병원요양병원(일반요양병원)인천광역시 중구 연안부두로21번길 11-12 (항동7가)032-715-59331702023-05-18
45가천대부속 동인천길병원병원인천광역시 중구 큰우물로 21 (용동, 지하1층, 1층, 3~5층, 8층)032-770-1300602023-05-18
56가천대학교부속 길한방병원한방병원인천광역시 중구 큰우물로 21 (용동, 가천대학교부속 길한방병원 본관 2층, 6층,7층, 9층,10층 )032-770-13001002023-05-18
67인천삼성요양병원요양병원(일반요양병원)인천광역시 중구 우현로62번길 30 (경동, 지하1층, 1층, 2층, 3층)032-721-75751892023-05-18
78힐락암요양병원요양병원(일반요양병원)인천광역시 중구 영종대로 106, 지하1층(일부), 5~6층, 8~10층 (운서동)032-746-81001642023-05-18
89예지요양병원요양병원(일반요양병원)인천광역시 중구 개항로 82 (경동)032-773-60351182023-05-18
910인하대학교의과대학부속병원종합병원인천광역시 중구 인항로 27 (신흥동3가)032-890-21149012023-05-18
순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호병상데이터기준일자
128129이재준내과의원의원인천광역시 중구 축항대로86번길 38 (항동7가)032-883-634702023-05-18
129130이규원치과의원치과의원인천광역시 중구 우현로 66, 3층 (용동)032-766-775702023-05-18
130131민영규치과의원치과의원인천광역시 중구 축항대로86번길 38 (항동7가)032-884-348302023-05-18
131132정원진성형외과의원의원인천광역시 중구 개항로 64, 2층 (경동)032-763-550502023-05-18
132133김원택성형외과의원의원인천광역시 중구 우현로 34 (답동)032-761-611102023-05-18
133134허형범치과의원치과의원인천광역시 중구 우현로 37-1 (신포동)032-765-282802023-05-18
134135정충근치과의원치과의원인천광역시 중구 우현로35번길 1, 2~3층 (신포동)032-763-288802023-05-18
135136김용운치과의원치과의원인천광역시 중구 우현로 59 (내동)032-761-223002023-05-18
136137황규동치과의원치과의원인천광역시 중구 큰우물로 1 (경동)032-762-282802023-05-18
137138김의원의원인천광역시 중구 우현로 61-1 (내동)032-772-434602023-05-18