Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells1
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 계양구 관내 병원 현황에 대한 데이터로, 의료기관명, 의료기관 도로명 주소, 의료기관 전화번호 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/3077875/fileData.do

Alerts

기준일자 has constant value ""Constant
의료기관전화번호 has 1 (4.0%) missing valuesMissing
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:38:34.228938
Analysis finished2024-03-14 18:38:35.358279
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T03:38:35.581644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-03-15T03:38:35.835806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

의료기관명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-15T03:38:36.516781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length8.04
Min length4

Characters and Unicode

Total characters201
Distinct characters69
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row마음편한병원
2nd row정성한방병원
3rd row고구려한방병원
4th row경희한방병원
5th row서송병원
ValueCountFrequency (%)
의료법인 2
 
6.9%
마음편한병원 1
 
3.4%
다원병원 1
 
3.4%
성베드로한방병원 1
 
3.4%
엠앤비여성병원 1
 
3.4%
의료법인인성의료재단한림병원 1
 
3.4%
빅토리아한방병원 1
 
3.4%
예진요양병원 1
 
3.4%
인천제2시립노인치매요양병원 1
 
3.4%
의료법인보람의료재단보람병원 1
 
3.4%
Other values (18) 18
62.1%
2024-03-15T03:38:37.743950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 26
 
12.9%
병 25
 
12.4%
인 11
 
5.5%
한 9
 
4.5%
의 8
 
4.0%
료 8
 
4.0%
양 7
 
3.5%
성 6
 
3.0%
방 6
 
3.0%
요 6
 
3.0%
Other values (59) 89
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
97.5%
Space Separator 4
 
2.0%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 26
 
13.3%
병 25
 
12.8%
인 11
 
5.6%
한 9
 
4.6%
의 8
 
4.1%
료 8
 
4.1%
양 7
 
3.6%
성 6
 
3.1%
방 6
 
3.1%
요 6
 
3.1%
Other values (57) 84
42.9%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
97.5%
Common 5
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 26
 
13.3%
병 25
 
12.8%
인 11
 
5.6%
한 9
 
4.6%
의 8
 
4.1%
료 8
 
4.1%
양 7
 
3.6%
성 6
 
3.1%
방 6
 
3.1%
요 6
 
3.1%
Other values (57) 84
42.9%
Common
ValueCountFrequency (%)
4
80.0%
2 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
97.5%
ASCII 5
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 26
 
13.3%
병 25
 
12.8%
인 11
 
5.6%
한 9
 
4.6%
의 8
 
4.1%
료 8
 
4.1%
양 7
 
3.6%
성 6
 
3.1%
방 6
 
3.1%
요 6
 
3.1%
Other values (57) 84
42.9%
ASCII
ValueCountFrequency (%)
4
80.0%
2 1
 
20.0%

의료기관주소(도로명)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-15T03:38:38.749300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length41
Mean length33.2
Min length22

Characters and Unicode

Total characters830
Distinct characters94
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

Unique25 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 아나지로 380, 해룡빌딩 1~5층 (작전동)
2nd row인천광역시 계양구 계양대로 94, 영화빌딩 1, 3, 4, 5층 (작전동)
3rd row인천광역시 계양구 경명대로 1130, 2~5층 (계산동)
4th row인천광역시 계양구 새벌로 112, 마스터즈빌딩 5층 (효성동)
5th row인천광역시 계양구 경명대로972번길 9, 계산종합의료단지 A,B동 전체호 (계산동)
ValueCountFrequency (%)
인천광역시 25
 
15.8%
계양구 25
 
15.8%
계산동 9
 
5.7%
작전동 9
 
5.7%
장제로 6
 
3.8%
계양대로 5
 
3.2%
경명대로 3
 
1.9%
효성동 2
 
1.3%
2~5층 2
 
1.3%
5층 2
 
1.3%
Other values (69) 70
44.3%
2024-03-15T03:38:40.250391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
16.1%
계 44
 
5.3%
, 39
 
4.7%
1 33
 
4.0%
양 32
 
3.9%
동 28
 
3.4%
) 26
 
3.1%
로 26
 
3.1%
인 26
 
3.1%
( 26
 
3.1%
Other values (84) 416
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
55.2%
Decimal Number 139
 
16.7%
Space Separator 134
 
16.1%
Other Punctuation 39
 
4.7%
Close Punctuation 26
 
3.1%
Open Punctuation 26
 
3.1%
Math Symbol 4
 
0.5%
Uppercase Letter 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 44
 
9.6%
양 32
 
7.0%
동 28
 
6.1%
로 26
 
5.7%
인 26
 
5.7%
천 25
 
5.5%
시 25
 
5.5%
역 25
 
5.5%
광 25
 
5.5%
구 25
 
5.5%
Other values (65) 177
38.6%
Decimal Number
ValueCountFrequency (%)
1 33
23.7%
2 22
15.8%
0 19
13.7%
5 13
 
9.4%
7 12
 
8.6%
3 12
 
8.6%
4 11
 
7.9%
8 9
 
6.5%
6 4
 
2.9%
9 4
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
55.2%
Common 369
44.5%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 44
 
9.6%
양 32
 
7.0%
동 28
 
6.1%
로 26
 
5.7%
인 26
 
5.7%
천 25
 
5.5%
시 25
 
5.5%
역 25
 
5.5%
광 25
 
5.5%
구 25
 
5.5%
Other values (65) 177
38.6%
Common
ValueCountFrequency (%)
134
36.3%
, 39
 
10.6%
1 33
 
8.9%
) 26
 
7.0%
( 26
 
7.0%
2 22
 
6.0%
0 19
 
5.1%
5 13
 
3.5%
7 12
 
3.3%
3 12
 
3.3%
Other values (6) 33
 
8.9%
Latin
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
55.2%
ASCII 372
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
36.0%
, 39
 
10.5%
1 33
 
8.9%
) 26
 
7.0%
( 26
 
7.0%
2 22
 
5.9%
0 19
 
5.1%
5 13
 
3.5%
7 12
 
3.2%
3 12
 
3.2%
Other values (9) 36
 
9.7%
Hangul
ValueCountFrequency (%)
계 44
 
9.6%
양 32
 
7.0%
동 28
 
6.1%
로 26
 
5.7%
인 26
 
5.7%
천 25
 
5.5%
시 25
 
5.5%
역 25
 
5.5%
광 25
 
5.5%
구 25
 
5.5%
Other values (65) 177
38.6%

의료기관전화번호
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size328.0 B
2024-03-15T03:38:41.048186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.75
Min length9

Characters and Unicode

Total characters282
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

Unique24 ?
Unique (%)100.0%

Sample

1st row032-207-7070
2nd row032-556-5575
3rd row032-547-7727
4th row032-548-1188
5th row032-551-0114
ValueCountFrequency (%)
032-207-7070 1
 
4.2%
032-556-5575 1
 
4.2%
032-544-2200 1
 
4.2%
032-552-3500 1
 
4.2%
032-540-9114 1
 
4.2%
032-552-8050 1
 
4.2%
032-556-8810 1
 
4.2%
032-554-8300 1
 
4.2%
032-542-0114 1
 
4.2%
032-543-7582 1
 
4.2%
Other values (14) 14
58.3%
2024-03-15T03:38:42.193526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
17.7%
- 46
16.3%
5 43
15.2%
2 34
12.1%
3 32
11.3%
4 23
8.2%
7 17
 
6.0%
1 16
 
5.7%
8 15
 
5.3%
6 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 236
83.7%
Dash Punctuation 46
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
21.2%
5 43
18.2%
2 34
14.4%
3 32
13.6%
4 23
9.7%
7 17
 
7.2%
1 16
 
6.8%
8 15
 
6.4%
6 4
 
1.7%
9 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
17.7%
- 46
16.3%
5 43
15.2%
2 34
12.1%
3 32
11.3%
4 23
8.2%
7 17
 
6.0%
1 16
 
5.7%
8 15
 
5.3%
6 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
17.7%
- 46
16.3%
5 43
15.2%
2 34
12.1%
3 32
11.3%
4 23
8.2%
7 17
 
6.0%
1 16
 
5.7%
8 15
 
5.3%
6 4
 
1.4%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-07
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-07
2nd row2024-03-07
3rd row2024-03-07
4th row2024-03-07
5th row2024-03-07

Common Values

ValueCountFrequency (%)
2024-03-07 25
100.0%

Length

2024-03-15T03:38:42.518630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:38:42.780385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-07 25
100.0%

Interactions

2024-03-15T03:38:34.573752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:38:42.913968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관주소(도로명)의료기관전화번호
순번1.0001.0001.0001.000
의료기관명1.0001.0001.0001.000
의료기관주소(도로명)1.0001.0001.0001.000
의료기관전화번호1.0001.0001.0001.000

Missing values

2024-03-15T03:38:34.922109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:38:35.236125image/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)의료기관전화번호기준일자
01마음편한병원인천광역시 계양구 아나지로 380, 해룡빌딩 1~5층 (작전동)032-207-70702024-03-07
12정성한방병원인천광역시 계양구 계양대로 94, 영화빌딩 1, 3, 4, 5층 (작전동)032-556-55752024-03-07
23고구려한방병원인천광역시 계양구 경명대로 1130, 2~5층 (계산동)032-547-77272024-03-07
34경희한방병원인천광역시 계양구 새벌로 112, 마스터즈빌딩 5층 (효성동)032-548-11882024-03-07
45서송병원인천광역시 계양구 경명대로972번길 9, 계산종합의료단지 A,B동 전체호 (계산동)032-551-01142024-03-07
56인천세종병원인천광역시 계양구 계양문화로 20- (작전동, (작전동))032-240-80002024-03-07
67인천더드림병원인천광역시 계양구 계양대로 123(작전동)032-282-75752024-03-07
78계양다나음한방병원인천광역시 계양구 경명대로 1134, 2~5층 (계산동)032-544-79752024-03-07
89효성요양병원인천광역시 계양구 안남로 538 (효성동)<NA>2024-03-07
910인천마디병원인천광역시 계양구 계양대로 204 (계산동)1644-83442024-03-07
순번의료기관명의료기관주소(도로명)의료기관전화번호기준일자
1516의료법인 삼정의료재단 삼정병원인천광역시 계양구 장제로 800(계산동)032-543-75302024-03-07
1617지웰요양병원인천광역시 계양구 장제로 672, 2,3,4층 201,305,402호 (작전동)032-543-75822024-03-07
1718의료법인보람의료재단보람병원인천광역시 계양구 오조산로 11 (작전동)032-542-01142024-03-07
1819인천제2시립노인치매요양병원인천광역시 계양구 드림로 852, 노인치매요양병원 (갈현동)032-554-83002024-03-07
1920예진요양병원인천광역시 계양구 계양대로 188, 4,5층 (계산동, 노바체빌딩)032-556-88102024-03-07
2021빅토리아한방병원인천광역시 계양구 계산새로 71, C동 11,12,13층 (계산동, 하이베라스)032-552-80502024-03-07
2122의료법인인성의료재단한림병원인천광역시 계양구 장제로 722 (작전동)032-540-91142024-03-07
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