Overview

Dataset statistics

Number of variables5
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory44.0 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description목포시에 소재하는 집단급식소가 설치된 병원현황에 대하여 병원명, 급식소종류, 병원주소, 연락처에 대하여 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15043351/fileData.do

Alerts

업종명 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:47:51.816846
Analysis finished2023-12-12 12:47:52.317697
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T21:47:52.394330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-12T21:47:52.543925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
집단급식소
44 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소
2nd row집단급식소
3rd row집단급식소
4th row집단급식소
5th row집단급식소

Common Values

ValueCountFrequency (%)
집단급식소 44
100.0%

Length

2023-12-12T21:47:52.680184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:47:52.769686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 44
100.0%

업소명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T21:47:52.968913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length8.5
Min length4

Characters and Unicode

Total characters374
Distinct characters99
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row목포시의료원
2nd row신안병원
3rd row한국병원
4th row목포노동병원
5th row목포원광한방병원
ValueCountFrequency (%)
목포성심요양병원 2
 
4.2%
목포시의료원 1
 
2.1%
목포현대병원 1
 
2.1%
한국한방병원 1
 
2.1%
의료법인청명의료재단 1
 
2.1%
목포참사랑요양병원 1
 
2.1%
목포우리병원 1
 
2.1%
약수한방병원 1
 
2.1%
365매일한방병원 1
 
2.1%
국립목포병원직원식당 1
 
2.1%
Other values (37) 37
77.1%
2023-12-12T21:47:53.610355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 46
 
12.3%
병 42
 
11.2%
목 27
 
7.2%
포 27
 
7.2%
의 14
 
3.7%
료 12
 
3.2%
한 12
 
3.2%
양 10
 
2.7%
요 10
 
2.7%
방 8
 
2.1%
Other values (89) 166
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
97.6%
Space Separator 4
 
1.1%
Decimal Number 3
 
0.8%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 46
 
12.6%
병 42
 
11.5%
목 27
 
7.4%
포 27
 
7.4%
의 14
 
3.8%
료 12
 
3.3%
한 12
 
3.3%
양 10
 
2.7%
요 10
 
2.7%
방 8
 
2.2%
Other values (83) 157
43.0%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
5 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
97.6%
Common 9
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 46
 
12.6%
병 42
 
11.5%
목 27
 
7.4%
포 27
 
7.4%
의 14
 
3.8%
료 12
 
3.3%
한 12
 
3.3%
양 10
 
2.7%
요 10
 
2.7%
방 8
 
2.2%
Other values (83) 157
43.0%
Common
ValueCountFrequency (%)
4
44.4%
6 1
 
11.1%
5 1
 
11.1%
3 1
 
11.1%
( 1
 
11.1%
) 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
97.6%
ASCII 9
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 46
 
12.6%
병 42
 
11.5%
목 27
 
7.4%
포 27
 
7.4%
의 14
 
3.8%
료 12
 
3.3%
한 12
 
3.3%
양 10
 
2.7%
요 10
 
2.7%
방 8
 
2.2%
Other values (83) 157
43.0%
ASCII
ValueCountFrequency (%)
4
44.4%
6 1
 
11.1%
5 1
 
11.1%
3 1
 
11.1%
( 1
 
11.1%
) 1
 
11.1%

소재지(도로명)
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T21:47:53.950994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length26.181818
Min length20

Characters and Unicode

Total characters1152
Distinct characters90
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

Unique44 ?
Unique (%)100.0%

Sample

1st row전라남도 목포시 이로로 18 (용해동,외13필지,6층)
2nd row전라남도 목포시 산정로 12 (동명동)
3rd row전라남도 목포시 영산로 483 (상동)
4th row전라남도 목포시 수강로12번길 11-1 (행복동2가)
5th row전라남도 목포시 하당로153번길 14 (상동)
ValueCountFrequency (%)
전라남도 44
17.6%
목포시 44
17.6%
상동 16
 
6.4%
백년대로 10
 
4.0%
석현동 7
 
2.8%
영산로 5
 
2.0%
지하1층 4
 
1.6%
7층 4
 
1.6%
5층 4
 
1.6%
옥암로 4
 
1.6%
Other values (90) 108
43.2%
2023-12-12T21:47:54.522057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
17.9%
동 50
 
4.3%
남 47
 
4.1%
목 45
 
3.9%
포 45
 
3.9%
전 44
 
3.8%
라 44
 
3.8%
) 44
 
3.8%
( 44
 
3.8%
시 44
 
3.8%
Other values (80) 539
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 651
56.5%
Space Separator 206
 
17.9%
Decimal Number 171
 
14.8%
Close Punctuation 44
 
3.8%
Open Punctuation 44
 
3.8%
Other Punctuation 28
 
2.4%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
7.7%
남 47
 
7.2%
목 45
 
6.9%
포 45
 
6.9%
전 44
 
6.8%
라 44
 
6.8%
시 44
 
6.8%
도 44
 
6.8%
로 41
 
6.3%
층 24
 
3.7%
Other values (65) 223
34.3%
Decimal Number
ValueCountFrequency (%)
1 41
24.0%
2 26
15.2%
3 25
14.6%
4 17
9.9%
5 15
 
8.8%
7 12
 
7.0%
9 11
 
6.4%
6 10
 
5.8%
8 8
 
4.7%
0 6
 
3.5%
Space Separator
ValueCountFrequency (%)
206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 651
56.5%
Common 501
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
7.7%
남 47
 
7.2%
목 45
 
6.9%
포 45
 
6.9%
전 44
 
6.8%
라 44
 
6.8%
시 44
 
6.8%
도 44
 
6.8%
로 41
 
6.3%
층 24
 
3.7%
Other values (65) 223
34.3%
Common
ValueCountFrequency (%)
206
41.1%
) 44
 
8.8%
( 44
 
8.8%
1 41
 
8.2%
, 28
 
5.6%
2 26
 
5.2%
3 25
 
5.0%
4 17
 
3.4%
5 15
 
3.0%
7 12
 
2.4%
Other values (5) 43
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 651
56.5%
ASCII 501
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
41.1%
) 44
 
8.8%
( 44
 
8.8%
1 41
 
8.2%
, 28
 
5.6%
2 26
 
5.2%
3 25
 
5.0%
4 17
 
3.4%
5 15
 
3.0%
7 12
 
2.4%
Other values (5) 43
 
8.6%
Hangul
ValueCountFrequency (%)
동 50
 
7.7%
남 47
 
7.2%
목 45
 
6.9%
포 45
 
6.9%
전 44
 
6.8%
라 44
 
6.8%
시 44
 
6.8%
도 44
 
6.8%
로 41
 
6.3%
층 24
 
3.7%
Other values (65) 223
34.3%

연락처
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T21:47:54.791108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters532
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

Unique44 ?
Unique (%)100.0%

Sample

1st row061-270-6155
2nd row061-278-7575
3rd row061-270-5490
4th row061-242-5621
5th row061-283-8004
ValueCountFrequency (%)
061-270-6155 1
 
2.3%
061-278-7575 1
 
2.3%
061-261-0075 1
 
2.3%
061-240-1600 1
 
2.3%
061-262-7575 1
 
2.3%
061-287-7585 1
 
2.3%
061-282-7365 1
 
2.3%
061-280-1104 1
 
2.3%
061-280-1114 1
 
2.3%
061-280-3000 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T21:47:55.209318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 124
23.3%
- 88
16.5%
1 62
11.7%
6 59
11.1%
2 49
 
9.2%
8 45
 
8.5%
5 33
 
6.2%
7 32
 
6.0%
3 18
 
3.4%
4 14
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 444
83.5%
Dash Punctuation 88
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 124
27.9%
1 62
14.0%
6 59
13.3%
2 49
 
11.0%
8 45
 
10.1%
5 33
 
7.4%
7 32
 
7.2%
3 18
 
4.1%
4 14
 
3.2%
9 8
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 532
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 124
23.3%
- 88
16.5%
1 62
11.7%
6 59
11.1%
2 49
 
9.2%
8 45
 
8.5%
5 33
 
6.2%
7 32
 
6.0%
3 18
 
3.4%
4 14
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 124
23.3%
- 88
16.5%
1 62
11.7%
6 59
11.1%
2 49
 
9.2%
8 45
 
8.5%
5 33
 
6.2%
7 32
 
6.0%
3 18
 
3.4%
4 14
 
2.6%

Interactions

2023-12-12T21:47:52.036143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:47:55.336778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)연락처
연번1.0001.0001.0001.000
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-12T21:47:52.149243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:47:52.280702image/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

연번업종명업소명소재지(도로명)연락처
01집단급식소목포시의료원전라남도 목포시 이로로 18 (용해동,외13필지,6층)061-270-6155
12집단급식소신안병원전라남도 목포시 산정로 12 (동명동)061-278-7575
23집단급식소한국병원전라남도 목포시 영산로 483 (상동)061-270-5490
34집단급식소목포노동병원전라남도 목포시 수강로12번길 11-1 (행복동2가)061-242-5621
45집단급식소목포원광한방병원전라남도 목포시 하당로153번길 14 (상동)061-283-8004
56집단급식소목포한사랑병원전라남도 목포시 백년대로 335 (상동)061-280-5557
67집단급식소목포기독병원전라남도 목포시 백년대로 303 (상동)061-280-7123
78집단급식소동신대학교목포한방병원전라남도 목포시 백년대로 313 (상동)061-280-7700
89집단급식소목포성심요양병원전라남도 목포시 산계길 4-9 (대양동)061-281-1600
910집단급식소제일내과병원전라남도 목포시 비파로 162 (상동)061-287-8000
연번업종명업소명소재지(도로명)연락처
3435집단급식소편안한방병원전라남도 목포시 후광대로 134, 1층 (옥암동)061-287-8575
3536집단급식소서울병원전라남도 목포시 청호로 109, 1동 5층 (산정동)061-272-3333
3637집단급식소목포아동병원전라남도 목포시 옥암로 149, 4층 (상동)061-801-8000
3738집단급식소부부요양병원전라남도 목포시 영산로 620-1, 지하1층 (석현동)061-989-9000
3839집단급식소목포재활요양병원전라남도 목포시 영산로 627, 영신학원기숙사 1동 2층 (석현동)061-280-6800
3940집단급식소옥암힐요양병원전라남도 목포시 정의로 8, 5층 (옥암동)0507-1426-6501
4041집단급식소조연이비인후과병원전라남도 목포시 백년대로 298, 센트럴메디파크 9층 (상동)061-287-6610
4142집단급식소목포신세계병원전라남도 목포시 백년대로 258, 5층 (상동)061-274-9000
4243집단급식소목포더좋은요양병원전라남도 목포시 용당로 334, 지하1층 (용해동)0507-1383-7028
4344집단급식소목포더조은내과의원전라남도 목포시 삼학로 24, 7층 (호남동)061-240-2053