Overview

Dataset statistics

Number of variables5
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description인천광역시 중구의 일반의원(병원)에 대한 데이터로 일반의원 현황을 제공하며 세부적으로 상호명, 연락처, 소재지 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15100383/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:34:20.851862
Analysis finished2023-12-12 04:34:21.344136
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-12T13:34:21.423104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2023-12-12T13:34:21.614659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

의료기관명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T13:34:21.906247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.2142857
Min length3

Characters and Unicode

Total characters575
Distinct characters128
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st row영종더굿정형외과의원
2nd row영종하늘의원
3rd row영종 센트럴 이비인후과의원
4th row다시봄날의원
5th row예스삼성소아청소년과의원
ValueCountFrequency (%)
영종 2
 
2.6%
영종더굿정형외과의원 1
 
1.3%
운서성모정형외과의원 1
 
1.3%
연세참가정의학과의원 1
 
1.3%
김훈수내과의원 1
 
1.3%
온누리내과의원 1
 
1.3%
모아연합소아청소년과의원 1
 
1.3%
유밸안과의원 1
 
1.3%
다본안과의원 1
 
1.3%
열린이비인후과의원 1
 
1.3%
Other values (65) 65
85.5%
2023-12-12T13:34:22.380366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 76
 
13.2%
원 74
 
12.9%
과 46
 
8.0%
인 14
 
2.4%
이 12
 
2.1%
소 12
 
2.1%
정 11
 
1.9%
비 10
 
1.7%
아 10
 
1.7%
종 9
 
1.6%
Other values (118) 301
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
97.4%
Decimal Number 7
 
1.2%
Space Separator 6
 
1.0%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 76
 
13.6%
원 74
 
13.2%
과 46
 
8.2%
인 14
 
2.5%
이 12
 
2.1%
소 12
 
2.1%
정 11
 
2.0%
비 10
 
1.8%
아 10
 
1.8%
종 9
 
1.6%
Other values (110) 286
51.1%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
5 1
 
14.3%
6 1
 
14.3%
3 1
 
14.3%
1 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
97.4%
Common 13
 
2.3%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 76
 
13.6%
원 74
 
13.2%
과 46
 
8.2%
인 14
 
2.5%
이 12
 
2.1%
소 12
 
2.1%
정 11
 
2.0%
비 10
 
1.8%
아 10
 
1.8%
종 9
 
1.6%
Other values (110) 286
51.1%
Common
ValueCountFrequency (%)
6
46.2%
2 3
23.1%
5 1
 
7.7%
6 1
 
7.7%
3 1
 
7.7%
1 1
 
7.7%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
97.4%
ASCII 15
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 76
 
13.6%
원 74
 
13.2%
과 46
 
8.2%
인 14
 
2.5%
이 12
 
2.1%
소 12
 
2.1%
정 11
 
2.0%
비 10
 
1.8%
아 10
 
1.8%
종 9
 
1.6%
Other values (110) 286
51.1%
ASCII
ValueCountFrequency (%)
6
40.0%
2 3
20.0%
5 1
 
6.7%
6 1
 
6.7%
3 1
 
6.7%
M 1
 
6.7%
1 1
 
6.7%
E 1
 
6.7%

의료기관주소(도로명)
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T13:34:22.760218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43.5
Mean length33.7
Min length20

Characters and Unicode

Total characters2359
Distinct characters125
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

Unique70 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 하늘중앙로225번길 11, 302,303호 (중산동)
2nd row인천광역시 중구 신도시북로 89, 2,3층 (운서동)
3rd row인천광역시 중구 흰바위로 258, 5층 (운남동)
4th row인천광역시 중구 하늘중앙로195번길 21, 304~308호 (중산동)
5th row인천광역시 중구 영종대로 184, 영종예스타워복합상영관 4층 401호 (운서동)
ValueCountFrequency (%)
인천광역시 70
 
15.2%
중구 70
 
15.2%
중산동 24
 
5.2%
운서동 21
 
4.5%
4층 11
 
2.4%
우현로 10
 
2.2%
2층 9
 
1.9%
3층 7
 
1.5%
흰바위로 7
 
1.5%
5층 6
 
1.3%
Other values (136) 227
49.1%
2023-12-12T13:34:23.385023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
392
 
16.6%
중 104
 
4.4%
, 88
 
3.7%
인 79
 
3.3%
시 79
 
3.3%
( 74
 
3.1%
) 74
 
3.1%
천 73
 
3.1%
1 73
 
3.1%
로 73
 
3.1%
Other values (115) 1250
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
55.1%
Decimal Number 418
 
17.7%
Space Separator 392
 
16.6%
Other Punctuation 88
 
3.7%
Open Punctuation 74
 
3.1%
Close Punctuation 74
 
3.1%
Math Symbol 7
 
0.3%
Dash Punctuation 5
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 104
 
8.0%
인 79
 
6.1%
시 79
 
6.1%
천 73
 
5.6%
로 73
 
5.6%
역 72
 
5.5%
동 71
 
5.5%
구 70
 
5.4%
광 70
 
5.4%
층 45
 
3.5%
Other values (98) 564
43.4%
Decimal Number
ValueCountFrequency (%)
1 73
17.5%
4 69
16.5%
3 54
12.9%
0 52
12.4%
2 46
11.0%
5 38
9.1%
7 26
 
6.2%
6 23
 
5.5%
9 20
 
4.8%
8 17
 
4.1%
Space Separator
ValueCountFrequency (%)
392
100.0%
Other Punctuation
ValueCountFrequency (%)
, 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
55.1%
Common 1058
44.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 104
 
8.0%
인 79
 
6.1%
시 79
 
6.1%
천 73
 
5.6%
로 73
 
5.6%
역 72
 
5.5%
동 71
 
5.5%
구 70
 
5.4%
광 70
 
5.4%
층 45
 
3.5%
Other values (98) 564
43.4%
Common
ValueCountFrequency (%)
392
37.1%
, 88
 
8.3%
( 74
 
7.0%
) 74
 
7.0%
1 73
 
6.9%
4 69
 
6.5%
3 54
 
5.1%
0 52
 
4.9%
2 46
 
4.3%
5 38
 
3.6%
Other values (6) 98
 
9.3%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
55.1%
ASCII 1059
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
392
37.0%
, 88
 
8.3%
( 74
 
7.0%
) 74
 
7.0%
1 73
 
6.9%
4 69
 
6.5%
3 54
 
5.1%
0 52
 
4.9%
2 46
 
4.3%
5 38
 
3.6%
Other values (7) 99
 
9.3%
Hangul
ValueCountFrequency (%)
중 104
 
8.0%
인 79
 
6.1%
시 79
 
6.1%
천 73
 
5.6%
로 73
 
5.6%
역 72
 
5.5%
동 71
 
5.5%
구 70
 
5.4%
광 70
 
5.4%
층 45
 
3.5%
Other values (98) 564
43.4%

의료기관전화번호
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T13:34:23.724961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.914286
Min length9

Characters and Unicode

Total characters834
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

Unique68 ?
Unique (%)97.1%

Sample

1st row032-746-9975
2nd row032-751-8577
3rd row032-746-3579
4th row032-716-5716
5th row032-752-9722
ValueCountFrequency (%)
032-210-2270 2
 
2.9%
032-761-6111 1
 
1.4%
032-751-8275 1
 
1.4%
032-751-1119 1
 
1.4%
032-766-6363 1
 
1.4%
032-772-7474 1
 
1.4%
032-766-0075 1
 
1.4%
032-889-3378 1
 
1.4%
032-747-0470 1
 
1.4%
032-746-9975 1
 
1.4%
Other values (59) 59
84.3%
2023-12-12T13:34:24.304079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 137
16.4%
2 117
14.0%
7 116
13.9%
0 114
13.7%
3 101
12.1%
5 53
 
6.4%
1 52
 
6.2%
8 44
 
5.3%
6 44
 
5.3%
4 38
 
4.6%
Other values (2) 18
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 696
83.5%
Dash Punctuation 137
 
16.4%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 117
16.8%
7 116
16.7%
0 114
16.4%
3 101
14.5%
5 53
7.6%
1 52
7.5%
8 44
 
6.3%
6 44
 
6.3%
4 38
 
5.5%
9 17
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 137
16.4%
2 117
14.0%
7 116
13.9%
0 114
13.7%
3 101
12.1%
5 53
 
6.4%
1 52
 
6.2%
8 44
 
5.3%
6 44
 
5.3%
4 38
 
4.6%
Other values (2) 18
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 137
16.4%
2 117
14.0%
7 116
13.9%
0 114
13.7%
3 101
12.1%
5 53
 
6.4%
1 52
 
6.2%
8 44
 
5.3%
6 44
 
5.3%
4 38
 
4.6%
Other values (2) 18
 
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2023-05-18 00:00:00
Maximum2023-05-18 00:00:00
2023-12-12T13:34:24.483667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:24.638974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:34:21.079972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:34:24.762244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관주소(도로명)의료기관전화번호
순번1.0001.0001.0000.938
의료기관명1.0001.0001.0001.000
의료기관주소(도로명)1.0001.0001.0001.000
의료기관전화번호0.9381.0001.0001.000

Missing values

2023-12-12T13:34:21.205897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:34:21.305078image/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

순번의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
01영종더굿정형외과의원인천광역시 중구 하늘중앙로225번길 11, 302,303호 (중산동)032-746-99752023-05-18
12영종하늘의원인천광역시 중구 신도시북로 89, 2,3층 (운서동)032-751-85772023-05-18
23영종 센트럴 이비인후과의원인천광역시 중구 흰바위로 258, 5층 (운남동)032-746-35792023-05-18
34다시봄날의원인천광역시 중구 하늘중앙로195번길 21, 304~308호 (중산동)032-716-57162023-05-18
45예스삼성소아청소년과의원인천광역시 중구 영종대로 184, 영종예스타워복합상영관 4층 401호 (운서동)032-752-97222023-05-18
56이원공항의원2인천광역시 중구 제2터미널대로 444, 제2합동청사 지하1층 가호 (운서동)032-210-22702023-05-18
67영종센트럴피부과의원인천광역시 중구 하늘중앙로 193, 조양타워 601호 (중산동)032-751-20162023-05-18
78맑은하늘이비인후과의원인천광역시 중구 하늘중앙로 193, 조양타워 603호 (중산동)032-746-10172023-05-18
89신세계안과의원인천광역시 중구 하늘중앙로 193, 405호 (중산동)032-746-75022023-05-18
910예스피부과의원인천광역시 중구 영종대로 184, 영종예스타워복합상영관 4층 403 일부, 404, 405호 (운서동)032-752-97302023-05-18
순번의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
6061신포김내과의원인천광역시 중구 우현로39번길 2, 2층 (신포동)032-777-09022023-05-18
6162금강정형외과의원인천광역시 중구 서해대로494번길 1 (유동)032-881-75412023-05-18
6263연안의원인천광역시 중구 연안부두로33번길 16 (항동7가)032-888-00332023-05-18
6364송재현가정의원인천광역시 중구 연안부두로33번길 36 (항동7가)032-887-57752023-05-18
6465윤비뇨기과의원인천광역시 중구 우현로 90-1, 3층 (인현동)032-762-85402023-05-18
6566피터팬소아청소년과의원인천광역시 중구 하늘달빛로 94, 408호 (중산동)032-751-03062023-05-18
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