Overview

Dataset statistics

Number of variables5
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 계양구 관내 한의원 현황에 대한 데이터로, 의료기관명, 의료기관 도로명 주소, 의료기관 전화번호 등을 제공합니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077923&srcSe=7661IVAWM27C61E190

Alerts

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

Reproduction

Analysis started2024-03-13 05:34:38.252156
Analysis finished2024-03-13 05:34:39.073935
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-03-13T14:34:39.141791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2024-03-13T14:34:39.296542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 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%
46 1
 
1.4%
Other values (61) 61
85.9%
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 (%)
71 1
1.4%
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%

의료기관명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-03-13T14:34:39.623534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.8591549
Min length4

Characters and Unicode

Total characters416
Distinct characters111
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

Unique71 ?
Unique (%)100.0%

Sample

1st row조각목한의원
2nd row훈한의원
3rd row강추한의원
4th row설명한의원
5th row교대한의원
ValueCountFrequency (%)
조각목한의원 1
 
1.4%
진생한의원 1
 
1.4%
홍제한의원 1
 
1.4%
동의보감한의원 1
 
1.4%
태산한의원 1
 
1.4%
대경당한의원 1
 
1.4%
약손한의원 1
 
1.4%
서울한의원 1
 
1.4%
제일한의원 1
 
1.4%
예화한의원 1
 
1.4%
Other values (63) 63
86.3%
2024-03-13T14:34:40.024390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 73
17.5%
의 72
17.3%
원 71
17.1%
경 12
 
2.9%
희 10
 
2.4%
당 9
 
2.2%
동 6
 
1.4%
대 6
 
1.4%
인 5
 
1.2%
제 4
 
1.0%
Other values (101) 148
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
98.8%
Decimal Number 3
 
0.7%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 73
17.8%
의 72
17.5%
원 71
17.3%
경 12
 
2.9%
희 10
 
2.4%
당 9
 
2.2%
동 6
 
1.5%
대 6
 
1.5%
인 5
 
1.2%
제 4
 
1.0%
Other values (97) 143
34.8%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
98.8%
Common 5
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 73
17.8%
의 72
17.5%
원 71
17.3%
경 12
 
2.9%
희 10
 
2.4%
당 9
 
2.2%
동 6
 
1.5%
대 6
 
1.5%
인 5
 
1.2%
제 4
 
1.0%
Other values (97) 143
34.8%
Common
ValueCountFrequency (%)
2
40.0%
5 1
20.0%
6 1
20.0%
3 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
98.8%
ASCII 5
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 73
17.8%
의 72
17.5%
원 71
17.3%
경 12
 
2.9%
희 10
 
2.4%
당 9
 
2.2%
동 6
 
1.5%
대 6
 
1.5%
인 5
 
1.2%
제 4
 
1.0%
Other values (97) 143
34.8%
ASCII
ValueCountFrequency (%)
2
40.0%
5 1
20.0%
6 1
20.0%
3 1
20.0%

의료기관주소(도로명)
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-03-13T14:34:40.301748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length31.619718
Min length21

Characters and Unicode

Total characters2245
Distinct characters124
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 계양대로 85, 2층 (작전동)
2nd row인천광역시 계양구 계산새로 93, 밀레니엄프라자 3층 301호 (용종동)
3rd row인천광역시 계양구 계양대로 176, 2층 (계산동)
4th row인천광역시 계양구 장제로 903, 2층 (임학동)
5th row인천광역시 계양구 계양대로 159-1, 2층 (계산동)
ValueCountFrequency (%)
인천광역시 71
 
15.6%
계양구 71
 
15.6%
2층 24
 
5.3%
계산동 23
 
5.1%
작전동 15
 
3.3%
경명대로 11
 
2.4%
3층 11
 
2.4%
계양대로 10
 
2.2%
효성동 8
 
1.8%
효서로 7
 
1.5%
Other values (156) 204
44.8%
2024-03-13T14:34:40.806322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
 
17.1%
계 118
 
5.3%
양 90
 
4.0%
동 81
 
3.6%
, 76
 
3.4%
시 75
 
3.3%
( 72
 
3.2%
광 72
 
3.2%
천 72
 
3.2%
) 72
 
3.2%
Other values (114) 1133
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1284
57.2%
Space Separator 384
 
17.1%
Decimal Number 353
 
15.7%
Other Punctuation 76
 
3.4%
Open Punctuation 72
 
3.2%
Close Punctuation 72
 
3.2%
Dash Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 118
 
9.2%
양 90
 
7.0%
동 81
 
6.3%
시 75
 
5.8%
광 72
 
5.6%
천 72
 
5.6%
인 71
 
5.5%
역 71
 
5.5%
구 71
 
5.5%
로 70
 
5.5%
Other values (98) 493
38.4%
Decimal Number
ValueCountFrequency (%)
2 63
17.8%
1 61
17.3%
3 47
13.3%
0 47
13.3%
5 30
8.5%
4 28
7.9%
7 21
 
5.9%
6 21
 
5.9%
9 20
 
5.7%
8 15
 
4.2%
Space Separator
ValueCountFrequency (%)
384
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1284
57.2%
Common 960
42.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 118
 
9.2%
양 90
 
7.0%
동 81
 
6.3%
시 75
 
5.8%
광 72
 
5.6%
천 72
 
5.6%
인 71
 
5.5%
역 71
 
5.5%
구 71
 
5.5%
로 70
 
5.5%
Other values (98) 493
38.4%
Common
ValueCountFrequency (%)
384
40.0%
, 76
 
7.9%
( 72
 
7.5%
) 72
 
7.5%
2 63
 
6.6%
1 61
 
6.4%
3 47
 
4.9%
0 47
 
4.9%
5 30
 
3.1%
4 28
 
2.9%
Other values (5) 80
 
8.3%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1284
57.2%
ASCII 961
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
40.0%
, 76
 
7.9%
( 72
 
7.5%
) 72
 
7.5%
2 63
 
6.6%
1 61
 
6.3%
3 47
 
4.9%
0 47
 
4.9%
5 30
 
3.1%
4 28
 
2.9%
Other values (6) 81
 
8.4%
Hangul
ValueCountFrequency (%)
계 118
 
9.2%
양 90
 
7.0%
동 81
 
6.3%
시 75
 
5.8%
광 72
 
5.6%
천 72
 
5.6%
인 71
 
5.5%
역 71
 
5.5%
구 71
 
5.5%
로 70
 
5.5%
Other values (98) 493
38.4%

의료기관전화번호
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-03-13T14:34:41.124397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters852
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

Unique71 ?
Unique (%)100.0%

Sample

1st row032-507-1075
2nd row032-552-6608
3rd row032-719-7377
4th row032-551-3330
5th row032-551-5379
ValueCountFrequency (%)
032-507-1075 1
 
1.4%
032-549-7975 1
 
1.4%
032-541-0790 1
 
1.4%
032-554-3375 1
 
1.4%
032-548-1075 1
 
1.4%
032-545-1075 1
 
1.4%
032-544-7555 1
 
1.4%
032-543-7585 1
 
1.4%
032-547-8297 1
 
1.4%
032-553-1075 1
 
1.4%
Other values (61) 61
85.9%
2024-03-13T14:34:41.513302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 150
17.6%
- 142
16.7%
0 117
13.7%
3 103
12.1%
2 91
10.7%
7 68
8.0%
1 58
 
6.8%
4 53
 
6.2%
8 29
 
3.4%
6 23
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
83.3%
Dash Punctuation 142
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 150
21.1%
0 117
16.5%
3 103
14.5%
2 91
12.8%
7 68
9.6%
1 58
 
8.2%
4 53
 
7.5%
8 29
 
4.1%
6 23
 
3.2%
9 18
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 150
17.6%
- 142
16.7%
0 117
13.7%
3 103
12.1%
2 91
10.7%
7 68
8.0%
1 58
 
6.8%
4 53
 
6.2%
8 29
 
3.4%
6 23
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 150
17.6%
- 142
16.7%
0 117
13.7%
3 103
12.1%
2 91
10.7%
7 68
8.0%
1 58
 
6.8%
4 53
 
6.2%
8 29
 
3.4%
6 23
 
2.7%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-03-07
71 

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 71
100.0%

Length

2024-03-13T14:34:41.655259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:34:41.786737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-07 71
100.0%

Interactions

2024-03-13T14:34:38.479483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T14:34:41.867687image/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

2024-03-13T14:34:38.634448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T14:34:39.030078image/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
01조각목한의원인천광역시 계양구 계양대로 85, 2층 (작전동)032-507-10752024-03-07
12훈한의원인천광역시 계양구 계산새로 93, 밀레니엄프라자 3층 301호 (용종동)032-552-66082024-03-07
23강추한의원인천광역시 계양구 계양대로 176, 2층 (계산동)032-719-73772024-03-07
34설명한의원인천광역시 계양구 장제로 903, 2층 (임학동)032-551-33302024-03-07
45교대한의원인천광역시 계양구 계양대로 159-1, 2층 (계산동)032-551-53792024-03-07
56조중엽한의원인천광역시 계양구 효서로145번길 1, 3층 (효성동)032-553-59752024-03-07
67광덕안정한의원 인천작전점인천광역시 계양구 계양대로 65, 3층 (작전동)032-721-80752024-03-07
78도앤다한의원 동양점인천광역시 계양구 양지로 42-1, 의진빌딩 1층 및 3층 (동양동)032-710-82512024-03-07
89더베스트한의원인천광역시 계양구 오조산공원로 26, (주)골드프라자 3층 (용종동)032-546-49752024-03-07
910작전경희한의원인천광역시 계양구 작전시장로 16 (작전동)032-551-10522024-03-07
순번의료기관명의료기관주소(도로명)의료기관전화번호기준일자
6162김수철한의원인천광역시 계양구 주부토로 469, 원광빌딩 2층 (작전동)032-552-10752024-03-07
6263미소삼대한의원인천광역시 계양구 경명대로 1048, 2층 (계산동)032-547-44852024-03-07
6364태을당한의원인천광역시 계양구 장제로 873, 2층 202호 (임학동)032-543-81862024-03-07
6465장생한의원인천광역시 계양구 아나지로417번길 20, 3층 (작전동)032-551-66442024-03-07
6566인천감초당한의원인천광역시 계양구 계산새로 71, 하이베라스 C동 2층 204,205,206호 (계산동)032-551-75752024-03-07
6667한초당한의원인천광역시 계양구 계양대로 53 (작전동, 휘림빌딩)032-554-57542024-03-07
6768대명한의원인천광역시 계양구 오조산공원로 22, 303호 (용종동, 계양프라자)032-543-06652024-03-07
6869천수당한의원인천광역시 계양구 효서로 339, 2층 (작전동)032-546-73802024-03-07
6970은행나무한의원인천광역시 계양구 계산새로 93, 4층 405호 (용종동)032-553-57002024-03-07
7071삼기당한의원인천광역시 계양구 계양대로 214 (계산동)032-541-22712024-03-07