Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 남동구에 위치한 이비인후과에 대한 데이터로 연번, 병원명, 주소, 전화번호, 데이터기준일자 항목을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15091161/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
병원명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 10:40:07.159887
Analysis finished2024-04-21 10:40:09.539297
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-04-21T19:40:09.725256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-04-21T19:40:10.118999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

병원명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-04-21T19:40:10.902196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9032258
Min length8

Characters and Unicode

Total characters307
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row논현서울이비인후과의원
2nd row미래연세이비인후과의원
3rd row꽃보다이비인후과의원
4th row바른삼성이비인후과의원
5th row연세짱이비인후과의원
ValueCountFrequency (%)
논현서울이비인후과의원 1
 
3.2%
심연세이비인후과의원 1
 
3.2%
이이비인후과의원 1
 
3.2%
연세이비인후과의원 1
 
3.2%
담도영이비인후과의원 1
 
3.2%
김동석이비인후과의원 1
 
3.2%
최이비인후과의원 1
 
3.2%
유태선이비인후과의원 1
 
3.2%
송승용이비인후과의원 1
 
3.2%
서울이비인후과의원 1
 
3.2%
Other values (21) 21
67.7%
2024-04-21T19:40:12.111785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 34
11.1%
비 31
10.1%
인 31
10.1%
후 31
10.1%
과 31
10.1%
의 31
10.1%
원 31
10.1%
서 6
 
2.0%
세 5
 
1.6%
울 5
 
1.6%
Other values (52) 71
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 34
11.1%
비 31
10.1%
인 31
10.1%
후 31
10.1%
과 31
10.1%
의 31
10.1%
원 31
10.1%
서 6
 
2.0%
세 5
 
1.6%
울 5
 
1.6%
Other values (52) 71
23.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 34
11.1%
비 31
10.1%
인 31
10.1%
후 31
10.1%
과 31
10.1%
의 31
10.1%
원 31
10.1%
서 6
 
2.0%
세 5
 
1.6%
울 5
 
1.6%
Other values (52) 71
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 34
11.1%
비 31
10.1%
인 31
10.1%
후 31
10.1%
과 31
10.1%
의 31
10.1%
원 31
10.1%
서 6
 
2.0%
세 5
 
1.6%
울 5
 
1.6%
Other values (52) 71
23.1%

주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-04-21T19:40:13.122849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length35.935484
Min length23

Characters and Unicode

Total characters1114
Distinct characters116
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

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 청능대로 581, 광성프라자 2층 202,203호 (논현동)
2nd row인천광역시 남동구 미래로 6, 203호 (구월동)
3rd row인천광역시 남동구 구월남로 172, 3층 일부호 (구월동)
4th row인천광역시 남동구 담방로 45, 희망프라자 2층 201호일부호 (만수동)
5th row인천광역시 남동구 서창남순환로215번길 48, 3층 305,306호 (서창동, 스카이풀러스2)
ValueCountFrequency (%)
인천광역시 31
 
14.8%
남동구 31
 
14.8%
구월동 11
 
5.3%
3층 8
 
3.8%
논현동 7
 
3.3%
만수동 5
 
2.4%
간석동 5
 
2.4%
호구포로 4
 
1.9%
203호 3
 
1.4%
2층 3
 
1.4%
Other values (91) 101
48.3%
2024-04-21T19:40:14.579535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
 
16.0%
동 66
 
5.9%
, 49
 
4.4%
구 48
 
4.3%
남 38
 
3.4%
인 35
 
3.1%
2 35
 
3.1%
3 33
 
3.0%
천 32
 
2.9%
광 32
 
2.9%
Other values (106) 568
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
55.4%
Decimal Number 202
 
18.1%
Space Separator 178
 
16.0%
Other Punctuation 49
 
4.4%
Open Punctuation 31
 
2.8%
Close Punctuation 31
 
2.8%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
 
10.7%
구 48
 
7.8%
남 38
 
6.2%
인 35
 
5.7%
천 32
 
5.2%
광 32
 
5.2%
시 31
 
5.0%
역 31
 
5.0%
로 31
 
5.0%
호 26
 
4.2%
Other values (91) 247
40.0%
Decimal Number
ValueCountFrequency (%)
2 35
17.3%
3 33
16.3%
0 31
15.3%
1 26
12.9%
4 23
11.4%
5 17
8.4%
8 12
 
5.9%
7 12
 
5.9%
6 8
 
4.0%
9 5
 
2.5%
Space Separator
ValueCountFrequency (%)
178
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
55.4%
Common 497
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
 
10.7%
구 48
 
7.8%
남 38
 
6.2%
인 35
 
5.7%
천 32
 
5.2%
광 32
 
5.2%
시 31
 
5.0%
역 31
 
5.0%
로 31
 
5.0%
호 26
 
4.2%
Other values (91) 247
40.0%
Common
ValueCountFrequency (%)
178
35.8%
, 49
 
9.9%
2 35
 
7.0%
3 33
 
6.6%
0 31
 
6.2%
( 31
 
6.2%
) 31
 
6.2%
1 26
 
5.2%
4 23
 
4.6%
5 17
 
3.4%
Other values (5) 43
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
55.4%
ASCII 497
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
35.8%
, 49
 
9.9%
2 35
 
7.0%
3 33
 
6.6%
0 31
 
6.2%
( 31
 
6.2%
) 31
 
6.2%
1 26
 
5.2%
4 23
 
4.6%
5 17
 
3.4%
Other values (5) 43
 
8.7%
Hangul
ValueCountFrequency (%)
동 66
 
10.7%
구 48
 
7.8%
남 38
 
6.2%
인 35
 
5.7%
천 32
 
5.2%
광 32
 
5.2%
시 31
 
5.0%
역 31
 
5.0%
로 31
 
5.0%
호 26
 
4.2%
Other values (91) 247
40.0%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-04-21T19:40:15.351265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row032-215-2100
2nd row032-434-6104
3rd row032-465-1904
4th row032-464-0706
5th row032-297-2975
ValueCountFrequency (%)
032-215-2100 1
 
3.2%
032-431-6166 1
 
3.2%
032-463-5735 1
 
3.2%
032-424-4460 1
 
3.2%
032-437-0610 1
 
3.2%
032-471-5224 1
 
3.2%
032-431-8958 1
 
3.2%
032-463-0064 1
 
3.2%
032-464-8400 1
 
3.2%
032-423-5700 1
 
3.2%
Other values (21) 21
67.7%
2024-04-21T19:40:16.502437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.7%
0 58
15.6%
2 53
14.2%
4 52
14.0%
3 48
12.9%
6 24
 
6.5%
5 21
 
5.6%
1 19
 
5.1%
7 18
 
4.8%
8 11
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
18.7%
2 53
17.1%
4 52
16.8%
3 48
15.5%
6 24
7.7%
5 21
 
6.8%
1 19
 
6.1%
7 18
 
5.8%
8 11
 
3.5%
9 6
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.7%
0 58
15.6%
2 53
14.2%
4 52
14.0%
3 48
12.9%
6 24
 
6.5%
5 21
 
5.6%
1 19
 
5.1%
7 18
 
4.8%
8 11
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.7%
0 58
15.6%
2 53
14.2%
4 52
14.0%
3 48
12.9%
6 24
 
6.5%
5 21
 
5.6%
1 19
 
5.1%
7 18
 
4.8%
8 11
 
3.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size376.0 B
2023-05-11
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-11
2nd row2023-05-11
3rd row2023-05-11
4th row2023-05-11
5th row2023-05-11

Common Values

ValueCountFrequency (%)
2023-05-11 31
100.0%

Length

2024-04-21T19:40:16.909291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:40:17.209763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-11 31
100.0%

Interactions

2024-04-21T19:40:08.779207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T19:40:17.387959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번병원명주소전화번호
연번1.0001.0001.0001.000
병원명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-04-21T19:40:09.106387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T19:40:09.415907image/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

연번병원명주소전화번호데이터기준일자
01논현서울이비인후과의원인천광역시 남동구 청능대로 581, 광성프라자 2층 202,203호 (논현동)032-215-21002023-05-11
12미래연세이비인후과의원인천광역시 남동구 미래로 6, 203호 (구월동)032-434-61042023-05-11
23꽃보다이비인후과의원인천광역시 남동구 구월남로 172, 3층 일부호 (구월동)032-465-19042023-05-11
34바른삼성이비인후과의원인천광역시 남동구 담방로 45, 희망프라자 2층 201호일부호 (만수동)032-464-07062023-05-11
45연세짱이비인후과의원인천광역시 남동구 서창남순환로215번길 48, 3층 305,306호 (서창동, 스카이풀러스2)032-297-29752023-05-11
56서창코아이비인후과의원인천광역시 남동구 서창남순환로 223, 아페리온 304,305,306,307,411,412호 (서창동)032-466-40002023-05-11
67코끼리이비인후과의원인천광역시 남동구 경인로 520, 3층 304호 (간석동, 탑프라자2)032-442-44202023-05-11
78상쾌한이비인후과의원인천광역시 남동구 서창남순환로 222, 302호 (서창동, 센타프라자제1동)032-465-63452023-05-11
89센트럴이비인후과의원인천광역시 남동구 논고개로 73, 3층 301호 (논현동)032-439-85822023-05-11
910미래이비인후과의원인천광역시 남동구 인하로 497-5, 4층 402일부호 (구월동, 푸른세상안과빌딩)032-426-54002023-05-11
연번병원명주소전화번호데이터기준일자
2122우리이비인후과의원인천광역시 남동구 구월로 212, 3층 302호 (구월동, 힐캐슬프라자)032-466-53142023-05-11
2223서울이비인후과의원인천광역시 남동구 예술로 138 (구월동)032-423-57002023-05-11
2324송승용이비인후과의원인천광역시 남동구 장승남로 54, 3층 (만수동, 신영프라자)032-464-84002023-05-11
2425유태선이비인후과의원인천광역시 남동구 만수로 47, 402호 (만수동, 반도프라자)032-463-00642023-05-11
2526최이비인후과의원인천광역시 남동구 문화서로4번길 2 (구월동)032-431-89582023-05-11
2627김동석이비인후과의원인천광역시 남동구 호구포로 798 (구월동)032-471-52242023-05-11
2728담도영이비인후과의원인천광역시 남동구 남동대로 889-1, 4층 405일부호 (간석동)032-437-06102023-05-11
2829연세이비인후과의원인천광역시 남동구 용천로 157, 3층 (간석동, 그린상가)032-424-44602023-05-11
2930이이비인후과의원인천광역시 남동구 만수로37번길 8-8 (만수동)032-463-57352023-05-11
3031김석도이비인후과의원인천광역시 남동구 남동대로 875 (간석동)032-422-37702023-05-11