Overview

Dataset statistics

Number of variables5
Number of observations816
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.8 KiB
Average record size in memory41.2 B

Variable types

Categorical1
Text3
Numeric1

Dataset

Description전라남도 필수예방접종 참여의료기관에 대하여 관할 보건소, 의료기관명, 전화번호, 주소에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15102471/fileData.do

Alerts

우편번호 is highly overall correlated with 관할보건소High correlation
관할보건소 is highly overall correlated with 우편번호High correlation

Reproduction

Analysis started2023-12-12 00:32:08.271865
Analysis finished2023-12-12 00:32:08.907659
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관할보건소
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
전라남도여수시보건소
130 
전라남도순천시보건소
112 
전라남도목포시보건소
95 
전라남도나주시보건소
57 
전라남도광양시보건소
48 
Other values (17)
374 

Length

Max length12
Median length10
Mean length10.102941
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도여수시보건소 130
15.9%
전라남도순천시보건소 112
13.7%
전라남도목포시보건소 95
11.6%
전라남도나주시보건소 57
 
7.0%
전라남도광양시보건소 48
 
5.9%
전라남도무안군보건소 39
 
4.8%
전라남도화순군보건소 36
 
4.4%
전라남도고흥군보건소 32
 
3.9%
전라남도해남군보건소 32
 
3.9%
전라남도담양군보건소 28
 
3.4%
Other values (12) 207
25.4%

Length

2023-12-12T09:32:08.995800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라남도여수시보건소 130
15.9%
전라남도순천시보건소 112
13.7%
전라남도목포시보건소 95
11.6%
전라남도나주시보건소 57
 
7.0%
전라남도광양시보건소 48
 
5.9%
전라남도무안군보건소 39
 
4.8%
전라남도화순군보건소 36
 
4.4%
전라남도고흥군보건소 32
 
3.9%
전라남도해남군보건소 32
 
3.9%
전라남도담양군보건소 28
 
3.4%
Other values (12) 207
25.4%

의료기관명
Text

Distinct741
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T09:32:09.208090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length7.5306373
Min length3

Characters and Unicode

Total characters6145
Distinct characters316
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique706 ?
Unique (%)86.5%

Sample

1st row100년재생의원
2nd row21세기하나내과의원
3rd row강내과의원
4th row골롬반의원
5th row공앤박정형외과의원
ValueCountFrequency (%)
현대의원 9
 
1.0%
중앙의원 7
 
0.8%
성심의원 7
 
0.8%
연합의원 6
 
0.7%
연세의원 5
 
0.6%
한국의원 5
 
0.6%
하나의원 5
 
0.6%
제일의원 5
 
0.6%
서울의원 4
 
0.4%
삼성의원 3
 
0.3%
Other values (795) 834
93.7%
2023-12-12T09:32:09.625774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 823
 
13.4%
의 792
 
12.9%
과 329
 
5.4%
병 183
 
3.0%
내 134
 
2.2%
인 128
 
2.1%
료 116
 
1.9%
양 103
 
1.7%
정 80
 
1.3%
요 80
 
1.3%
Other values (306) 3377
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6045
98.4%
Space Separator 74
 
1.2%
Decimal Number 21
 
0.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 823
 
13.6%
의 792
 
13.1%
과 329
 
5.4%
병 183
 
3.0%
내 134
 
2.2%
인 128
 
2.1%
료 116
 
1.9%
양 103
 
1.7%
정 80
 
1.3%
요 80
 
1.3%
Other values (296) 3277
54.2%
Decimal Number
ValueCountFrequency (%)
1 4
19.0%
3 4
19.0%
5 4
19.0%
6 4
19.0%
2 3
14.3%
0 2
9.5%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
＆ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6045
98.4%
Common 100
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 823
 
13.6%
의 792
 
13.1%
과 329
 
5.4%
병 183
 
3.0%
내 134
 
2.2%
인 128
 
2.1%
료 116
 
1.9%
양 103
 
1.7%
정 80
 
1.3%
요 80
 
1.3%
Other values (296) 3277
54.2%
Common
ValueCountFrequency (%)
74
74.0%
1 4
 
4.0%
3 4
 
4.0%
5 4
 
4.0%
6 4
 
4.0%
2 3
 
3.0%
0 2
 
2.0%
( 2
 
2.0%
) 2
 
2.0%
＆ 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6045
98.4%
ASCII 99
 
1.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 823
 
13.6%
의 792
 
13.1%
과 329
 
5.4%
병 183
 
3.0%
내 134
 
2.2%
인 128
 
2.1%
료 116
 
1.9%
양 103
 
1.7%
정 80
 
1.3%
요 80
 
1.3%
Other values (296) 3277
54.2%
ASCII
ValueCountFrequency (%)
74
74.7%
1 4
 
4.0%
3 4
 
4.0%
5 4
 
4.0%
6 4
 
4.0%
2 3
 
3.0%
0 2
 
2.0%
( 2
 
2.0%
) 2
 
2.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

전화번호
Text

Distinct815
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T09:32:09.878517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters9792
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

Unique814 ?
Unique (%)99.8%

Sample

1st row061-274-0988
2nd row061-280-2800
3rd row061-277-7477
4th row061-279-7575
5th row061-240-1000
ValueCountFrequency (%)
061-330-1700 2
 
0.2%
061-857-7001 1
 
0.1%
061-371-3368 1
 
0.1%
061-852-7588 1
 
0.1%
061-852-3350 1
 
0.1%
061-859-5119 1
 
0.1%
061-857-8000 1
 
0.1%
061-853-7700 1
 
0.1%
061-852-4565 1
 
0.1%
061-858-4100 1
 
0.1%
Other values (805) 805
98.7%
2023-12-12T09:32:10.242441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1635
16.7%
- 1632
16.7%
6 1243
12.7%
1 1200
12.3%
7 810
8.3%
5 737
7.5%
3 706
7.2%
2 605
 
6.2%
8 539
 
5.5%
4 406
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8160
83.3%
Dash Punctuation 1632
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1635
20.0%
6 1243
15.2%
1 1200
14.7%
7 810
9.9%
5 737
9.0%
3 706
8.7%
2 605
 
7.4%
8 539
 
6.6%
4 406
 
5.0%
9 279
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1632
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1635
16.7%
- 1632
16.7%
6 1243
12.7%
1 1200
12.3%
7 810
8.3%
5 737
7.5%
3 706
7.2%
2 605
 
6.2%
8 539
 
5.5%
4 406
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1635
16.7%
- 1632
16.7%
6 1243
12.7%
1 1200
12.3%
7 810
8.3%
5 737
7.5%
3 706
7.2%
2 605
 
6.2%
8 539
 
5.5%
4 406
 
4.1%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct436
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58545.854
Minimum57004
Maximum59792
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-12T09:32:10.414564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57004
5-th percentile57191.25
Q157956
median58552
Q359324
95-th percentile59733
Maximum59792
Range2788
Interquartile range (IQR)1368

Descriptive statistics

Standard deviation800.2841
Coefficient of variation (CV)0.013669356
Kurtosis-1.0457526
Mean58545.854
Median Absolute Deviation (MAD)608
Skewness-0.031763972
Sum47773417
Variance640454.64
MonotonicityNot monotonic
2023-12-12T09:32:10.548392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58255 15
 
1.8%
57043 9
 
1.1%
57956 9
 
1.1%
58567 8
 
1.0%
59676 7
 
0.9%
57788 7
 
0.9%
59673 6
 
0.7%
59733 6
 
0.7%
59713 6
 
0.7%
57950 6
 
0.7%
Other values (426) 737
90.3%
ValueCountFrequency (%)
57004 1
 
0.1%
57006 1
 
0.1%
57011 2
 
0.2%
57035 2
 
0.2%
57040 1
 
0.1%
57041 1
 
0.1%
57042 3
 
0.4%
57043 9
1.1%
57044 2
 
0.2%
57045 1
 
0.1%
ValueCountFrequency (%)
59792 1
 
0.1%
59780 1
 
0.1%
59779 1
 
0.1%
59777 1
 
0.1%
59763 1
 
0.1%
59762 3
0.4%
59761 2
0.2%
59760 1
 
0.1%
59758 1
 
0.1%
59757 1
 
0.1%

주소
Text

Distinct810
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T09:32:11.039674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length26.813725
Min length19

Characters and Unicode

Total characters21880
Distinct characters345
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

Unique804 ?
Unique (%)98.5%

Sample

1st row전라남도 목포시 용당로 211, (용당동)
2nd row전라남도 목포시 백년대로 291, (상동)
3rd row전라남도 목포시 영산로 343, (용당동, 태금빌딩)
4th row전라남도 목포시 용당로 232, (용당동) 2층
5th row전라남도 목포시 삼학로16번길 6, (상락동2가) 2,3,4,5층
ValueCountFrequency (%)
전라남도 816
 
16.9%
여수시 130
 
2.7%
2층 115
 
2.4%
순천시 112
 
2.3%
목포시 95
 
2.0%
나주시 57
 
1.2%
광양시 48
 
1.0%
무안군 39
 
0.8%
화순군 36
 
0.7%
3층 35
 
0.7%
Other values (1473) 3341
69.3%
2023-12-12T09:32:11.759509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4320
 
19.7%
남 974
 
4.5%
도 893
 
4.1%
전 833
 
3.8%
라 827
 
3.8%
1 773
 
3.5%
로 609
 
2.8%
2 573
 
2.6%
, 570
 
2.6%
시 466
 
2.1%
Other values (335) 11042
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12558
57.4%
Space Separator 4320
 
19.7%
Decimal Number 3319
 
15.2%
Other Punctuation 576
 
2.6%
Close Punctuation 393
 
1.8%
Open Punctuation 392
 
1.8%
Dash Punctuation 291
 
1.3%
Math Symbol 21
 
0.1%
Uppercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 974
 
7.8%
도 893
 
7.1%
전 833
 
6.6%
라 827
 
6.6%
로 609
 
4.8%
시 466
 
3.7%
동 446
 
3.6%
군 380
 
3.0%
읍 294
 
2.3%
길 247
 
2.0%
Other values (309) 6589
52.5%
Decimal Number
ValueCountFrequency (%)
1 773
23.3%
2 573
17.3%
3 366
11.0%
4 268
 
8.1%
0 267
 
8.0%
5 266
 
8.0%
6 233
 
7.0%
7 211
 
6.4%
8 183
 
5.5%
9 179
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
S 1
 
10.0%
M 1
 
10.0%
P 1
 
10.0%
E 1
 
10.0%
N 1
 
10.0%
B 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 570
99.0%
. 5
 
0.9%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 291
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12558
57.4%
Common 9312
42.6%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 974
 
7.8%
도 893
 
7.1%
전 833
 
6.6%
라 827
 
6.6%
로 609
 
4.8%
시 466
 
3.7%
동 446
 
3.6%
군 380
 
3.0%
읍 294
 
2.3%
길 247
 
2.0%
Other values (309) 6589
52.5%
Common
ValueCountFrequency (%)
4320
46.4%
1 773
 
8.3%
2 573
 
6.2%
, 570
 
6.1%
) 393
 
4.2%
( 392
 
4.2%
3 366
 
3.9%
- 291
 
3.1%
4 268
 
2.9%
0 267
 
2.9%
Other values (8) 1099
 
11.8%
Latin
ValueCountFrequency (%)
A 3
30.0%
S 1
 
10.0%
M 1
 
10.0%
P 1
 
10.0%
E 1
 
10.0%
N 1
 
10.0%
B 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12558
57.4%
ASCII 9322
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4320
46.3%
1 773
 
8.3%
2 573
 
6.1%
, 570
 
6.1%
) 393
 
4.2%
( 392
 
4.2%
3 366
 
3.9%
- 291
 
3.1%
4 268
 
2.9%
0 267
 
2.9%
Other values (16) 1109
 
11.9%
Hangul
ValueCountFrequency (%)
남 974
 
7.8%
도 893
 
7.1%
전 833
 
6.6%
라 827
 
6.6%
로 609
 
4.8%
시 466
 
3.7%
동 446
 
3.6%
군 380
 
3.0%
읍 294
 
2.3%
길 247
 
2.0%
Other values (309) 6589
52.5%

Interactions

2023-12-12T09:32:08.625233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:32:11.865236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할보건소우편번호
관할보건소1.0000.991
우편번호0.9911.000
2023-12-12T09:32:11.967904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호관할보건소
우편번호1.0000.938
관할보건소0.9381.000

Missing values

2023-12-12T09:32:08.735728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:32:08.861791image/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

관할보건소의료기관명전화번호우편번호주소
0전라남도목포시보건소100년재생의원061-274-098858650전라남도 목포시 용당로 211, (용당동)
1전라남도목포시보건소21세기하나내과의원061-280-280058666전라남도 목포시 백년대로 291, (상동)
2전라남도목포시보건소강내과의원061-277-747758651전라남도 목포시 영산로 343, (용당동, 태금빌딩)
3전라남도목포시보건소골롬반의원061-279-757558651전라남도 목포시 용당로 232, (용당동) 2층
4전라남도목포시보건소공앤박정형외과의원061-240-100058752전라남도 목포시 삼학로16번길 6, (상락동2가) 2,3,4,5층
5전라남도목포시보건소국립목포병원061-280-110258605전라남도 목포시 신지마을1길 75, (석현동)
6전라남도목포시보건소굿모닝비뇨기과의원061-283-858558666전라남도 목포시 백년대로 303, (상동) 별관2층 굿모닝비뇨의학과
7전라남도목포시보건소그린소아청소년과의원061-278-888358639전라남도 목포시 청호로 154, (산정동)
8전라남도목포시보건소기내과의원061-278-077758639전라남도 목포시 청호로 176, (산정동) 2층
9전라남도목포시보건소김대식내과의원061-242-565758723전라남도 목포시 수문로 8, (대안동) 2층
관할보건소의료기관명전화번호우편번호주소
806전라남도신안군보건소신안군공립요양병원061-260-270058824전라남도 신안군 압해읍 구항길 92-50 신안군공립요양병원
807전라남도신안군보건소신안의원061-275-788758813전라남도 신안군 지도읍 해제지도로 1310-1 신안의원
808전라남도신안군보건소압해연합의원061-271-758358824전라남도 신안군 압해읍 압해로 871-3
809전라남도신안군보건소양지의원061-275-970058813전라남도 신안군 지도읍 해제지도로 1250 1250
810전라남도신안군보건소의료법인새림의료재단 압해생태요양병원061-246-720058821전라남도 신안군 압해읍 추섬길 50-0, (의료법인새림압해생태요양병원) 0동
811전라남도신안군보건소의료법인서연의료재단 신안천사병원061-274-140058836전라남도 신안군 암태면 중부로 1820-6
812전라남도신안군보건소의료법인신안대우의료재단 신안대우병원061-262-330158847전라남도 신안군 비금면 송치길 155-11
813전라남도신안군보건소중앙의원061-246-800458824전라남도 신안군 압해읍 압해로 872 872
814전라남도신안군보건소지도성심의원061-277-970058813전라남도 신안군 지도읍 봉리길 7
815전라남도신안군보건소현대가정의원061-275-677758802전라남도 신안군 임자면 진리길 2