Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells20
Missing cells (%)13.3%
Duplicate rows1
Duplicate rows (%)3.3%
Total size in memory1.3 KiB
Average record size in memory44.3 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description광진구 관내 영유아 건강검진기관(영유아) 현황으로 병원 명, 주소, 전화번호 등에 대한 정보( 또는 데이터)를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15052415/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (3.3%) duplicate rowsDuplicates
검진기관명 has 5 (16.7%) missing valuesMissing
주소 has 5 (16.7%) missing valuesMissing
전화번호 has 5 (16.7%) missing valuesMissing
데이터기준일자 has 5 (16.7%) missing valuesMissing

Reproduction

Analysis started2024-03-14 16:09:31.249469
Analysis finished2024-03-14 16:09:32.455022
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
검진기관(영유아)
25 
<NA>
5 

Length

Max length9
Median length9
Mean length8.1666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row검진기관(영유아)
2nd row검진기관(영유아)
3rd row검진기관(영유아)
4th row검진기관(영유아)
5th row검진기관(영유아)

Common Values

ValueCountFrequency (%)
검진기관(영유아) 25
83.3%
<NA> 5
 
16.7%

Length

2024-03-15T01:09:32.683791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:09:32.973426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검진기관(영유아 25
83.3%
na 5
 
16.7%

검진기관명
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing5
Missing (%)16.7%
Memory size368.0 B
2024-03-15T01:09:33.686596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length9.4
Min length4

Characters and Unicode

Total characters235
Distinct characters80
Distinct categories5 ?
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 row권소아과의원
2nd row(사)인구보건복지협회 서울지회 가족보건의원
3rd row지킴소아과의원
4th row독일의원
5th row엄민숙소아청소년과의원
ValueCountFrequency (%)
사)인구보건복지협회 1
 
3.7%
권소아과의원 1
 
3.7%
큰열매여성의원 1
 
3.7%
모아재활의학과소아청소년과의원 1
 
3.7%
건국대학교병원 1
 
3.7%
해맑은소아과의원 1
 
3.7%
아가사랑소아청소년과의원 1
 
3.7%
아산박내과의원 1
 
3.7%
유앤장이비인후과의원 1
 
3.7%
이화소아청소년과의원 1
 
3.7%
Other values (17) 17
63.0%
2024-03-15T01:09:34.954775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 27
 
11.5%
원 25
 
10.6%
소 22
 
9.4%
과 20
 
8.5%
아 18
 
7.7%
년 8
 
3.4%
청 8
 
3.4%
가 5
 
2.1%
학 4
 
1.7%
인 4
 
1.7%
Other values (70) 94
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
97.4%
Space Separator 2
 
0.9%
Uppercase Letter 2
 
0.9%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 27
 
11.8%
원 25
 
10.9%
소 22
 
9.6%
과 20
 
8.7%
아 18
 
7.9%
년 8
 
3.5%
청 8
 
3.5%
가 5
 
2.2%
학 4
 
1.7%
인 4
 
1.7%
Other values (65) 88
38.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
97.4%
Common 4
 
1.7%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 27
 
11.8%
원 25
 
10.9%
소 22
 
9.6%
과 20
 
8.7%
아 18
 
7.9%
년 8
 
3.5%
청 8
 
3.5%
가 5
 
2.2%
학 4
 
1.7%
인 4
 
1.7%
Other values (65) 88
38.4%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
97.4%
ASCII 6
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 27
 
11.8%
원 25
 
10.9%
소 22
 
9.6%
과 20
 
8.7%
아 18
 
7.9%
년 8
 
3.5%
청 8
 
3.5%
가 5
 
2.2%
학 4
 
1.7%
인 4
 
1.7%
Other values (65) 88
38.4%
ASCII
ValueCountFrequency (%)
2
33.3%
( 1
16.7%
S 1
16.7%
C 1
16.7%
) 1
16.7%

주소
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing5
Missing (%)16.7%
Memory size368.0 B
2024-03-15T01:09:35.882729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length29
Min length16

Characters and Unicode

Total characters725
Distinct characters86
Distinct categories7 ?
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 row서울특별시 광진구 아차산로 502 302호 (광장동,진넥스오딧세이)
2nd row서울특별시 광진구 긴고랑로13길 62 1.2층 (중곡동)
3rd row서울특별시 광진구 구의강변로 106 213호 (구의동, 삼성쉐르빌)
4th row서울특별시 광진구 천호대로 561 2층 (중곡동, 영창빌딩)
5th row서울특별시 광진구 용마산로 46 2층 (중곡동)
ValueCountFrequency (%)
광진구 25
16.9%
서울특별시 24
 
16.2%
2층 9
 
6.1%
중곡동 8
 
5.4%
구의동 6
 
4.1%
자양동 5
 
3.4%
용마산로 3
 
2.0%
뚝섬로 3
 
2.0%
자양로 2
 
1.4%
광나루로 2
 
1.4%
Other values (55) 61
41.2%
2024-03-15T01:09:37.249154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
17.1%
구 32
 
4.4%
광 29
 
4.0%
2 27
 
3.7%
진 27
 
3.7%
동 27
 
3.7%
서 26
 
3.6%
울 26
 
3.6%
특 24
 
3.3%
별 24
 
3.3%
Other values (76) 359
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
59.0%
Space Separator 124
 
17.1%
Decimal Number 111
 
15.3%
Close Punctuation 24
 
3.3%
Open Punctuation 24
 
3.3%
Other Punctuation 12
 
1.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 32
 
7.5%
광 29
 
6.8%
진 27
 
6.3%
동 27
 
6.3%
서 26
 
6.1%
울 26
 
6.1%
특 24
 
5.6%
별 24
 
5.6%
시 24
 
5.6%
로 24
 
5.6%
Other values (60) 165
38.6%
Decimal Number
ValueCountFrequency (%)
2 27
24.3%
1 19
17.1%
6 13
11.7%
5 10
 
9.0%
8 9
 
8.1%
0 9
 
8.1%
3 8
 
7.2%
4 6
 
5.4%
7 6
 
5.4%
9 4
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
. 3
 
25.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
59.0%
Common 297
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 32
 
7.5%
광 29
 
6.8%
진 27
 
6.3%
동 27
 
6.3%
서 26
 
6.1%
울 26
 
6.1%
특 24
 
5.6%
별 24
 
5.6%
시 24
 
5.6%
로 24
 
5.6%
Other values (60) 165
38.6%
Common
ValueCountFrequency (%)
124
41.8%
2 27
 
9.1%
) 24
 
8.1%
( 24
 
8.1%
1 19
 
6.4%
6 13
 
4.4%
5 10
 
3.4%
, 9
 
3.0%
8 9
 
3.0%
0 9
 
3.0%
Other values (6) 29
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
59.0%
ASCII 297
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
41.8%
2 27
 
9.1%
) 24
 
8.1%
( 24
 
8.1%
1 19
 
6.4%
6 13
 
4.4%
5 10
 
3.4%
, 9
 
3.0%
8 9
 
3.0%
0 9
 
3.0%
Other values (6) 29
 
9.8%
Hangul
ValueCountFrequency (%)
구 32
 
7.5%
광 29
 
6.8%
진 27
 
6.3%
동 27
 
6.3%
서 26
 
6.1%
울 26
 
6.1%
특 24
 
5.6%
별 24
 
5.6%
시 24
 
5.6%
로 24
 
5.6%
Other values (60) 165
38.6%

전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing5
Missing (%)16.7%
Memory size368.0 B
2024-03-15T01:09:38.062734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.12
Min length9

Characters and Unicode

Total characters278
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

Unique25 ?
Unique (%)100.0%

Sample

1st row02-454-7780
2nd row02-467-8913
3rd row02-2201-2260
4th row02-456-2079
5th row02-455-6025
ValueCountFrequency (%)
02-467-8913 1
 
4.0%
02-456-6119 1
 
4.0%
02-454-3576 1
 
4.0%
02-6959-7075 1
 
4.0%
1588-1533 1
 
4.0%
02-3437-3722 1
 
4.0%
02-465-9813 1
 
4.0%
02-464-1960 1
 
4.0%
02-447-0077 1
 
4.0%
02-456-5667 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T01:09:39.190231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 49
17.6%
0 42
15.1%
2 41
14.7%
4 28
10.1%
5 24
8.6%
6 22
7.9%
7 21
7.6%
1 17
 
6.1%
9 12
 
4.3%
3 12
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 229
82.4%
Dash Punctuation 49
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
18.3%
2 41
17.9%
4 28
12.2%
5 24
10.5%
6 22
9.6%
7 21
9.2%
1 17
7.4%
9 12
 
5.2%
3 12
 
5.2%
8 10
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 49
17.6%
0 42
15.1%
2 41
14.7%
4 28
10.1%
5 24
8.6%
6 22
7.9%
7 21
7.6%
1 17
 
6.1%
9 12
 
4.3%
3 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 49
17.6%
0 42
15.1%
2 41
14.7%
4 28
10.1%
5 24
8.6%
6 22
7.9%
7 21
7.6%
1 17
 
6.1%
9 12
 
4.3%
3 12
 
4.3%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)4.0%
Missing5
Missing (%)16.7%
Memory size368.0 B
Minimum2024-02-07 00:00:00
Maximum2024-02-07 00:00:00
2024-03-15T01:09:39.535500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:09:39.832877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-15T01:09:40.184187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검진기관명주소전화번호
검진기관명1.0001.0001.000
주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2024-03-15T01:09:31.626950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:09:31.955874image/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.
2024-03-15T01:09:32.276476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분검진기관명주소전화번호데이터기준일자
0검진기관(영유아)권소아과의원서울특별시 광진구 아차산로 502 302호 (광장동,진넥스오딧세이)02-454-77802024-02-07
1검진기관(영유아)(사)인구보건복지협회 서울지회 가족보건의원서울특별시 광진구 긴고랑로13길 62 1.2층 (중곡동)02-467-89132024-02-07
2검진기관(영유아)지킴소아과의원서울특별시 광진구 구의강변로 106 213호 (구의동, 삼성쉐르빌)02-2201-22602024-02-07
3검진기관(영유아)독일의원서울특별시 광진구 천호대로 561 2층 (중곡동, 영창빌딩)02-456-20792024-02-07
4검진기관(영유아)엄민숙소아청소년과의원서울특별시 광진구 용마산로 46 2층 (중곡동)02-455-60252024-02-07
5검진기관(영유아)서소아과의원서울 광진구 자양동635-2802-444-31062024-02-07
6검진기관(영유아)샤인소아청소년과의원서울특별시 광진구 용마산로 57 1층 (중곡동)02-562-82752024-02-07
7검진기관(영유아)김소아과의원서울특별시 광진구 군자로 86 (군자동)02-467-69752024-02-07
8검진기관(영유아)삼성키즈소아청소년과의원서울특별시 광진구 아차산로 478 4층 (구의동)02-452-77872024-02-07
9검진기관(영유아)늘푸른연세의원서울특별시 광진구 뚝섬로27길 65 2층 (자양동)02-461-25982024-02-07
구분검진기관명주소전화번호데이터기준일자
20검진기관(영유아)아가사랑소아청소년과의원서울특별시 광진구 면목로 117 2층 (중곡동, 바론채)02-465-98132024-02-07
21검진기관(영유아)해맑은소아과의원서울특별시 광진구 자양로 288 2층 (구의동)02-3437-37222024-02-07
22검진기관(영유아)건국대학교병원서울특별시 광진구 능동로 120-1 (화양동)1588-15332024-02-07
23검진기관(영유아)모아재활의학과소아청소년과의원서울특별시 광진구 뚝섬로 587 4층 (자양동)02-6959-70752024-02-07
24검진기관(영유아)큰열매여성의원서울특별시 광진구 용마산로 23 1.2.3층 (중곡동)02-454-35762024-02-07
25<NA><NA><NA><NA><NA>
26<NA><NA><NA><NA><NA>
27<NA><NA><NA><NA><NA>
28<NA><NA><NA><NA><NA>
29<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

구분검진기관명주소전화번호데이터기준일자# duplicates
0<NA><NA><NA><NA><NA>5