Overview

Dataset statistics

Number of variables6
Number of observations173
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory48.8 B

Variable types

Categorical3
Text3

Dataset

Description2020년도 말 기준 경상남도 내 보건지소 현황(보건지소명, 소재지, 연락처, 팩스번호, 진료과목, 진료시간 등)관련 자료를 제공합니다
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15089518

Alerts

진료시간 has constant value ""Constant
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:36:37.944024
Analysis finished2023-12-11 00:36:38.666563
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct20
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
합천군
16 
창녕군
13 
고성군
13 
하동군
12 
거창군
11 
Other values (15)
108 

Length

Max length7
Median length3
Mean length3.2312139
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row창원시(창원)
2nd row창원시(창원)
3rd row창원시(창원)
4th row창원시(마산)
5th row창원시(마산)

Common Values

ValueCountFrequency (%)
합천군 16
 
9.2%
창녕군 13
 
7.5%
고성군 13
 
7.5%
하동군 12
 
6.9%
거창군 11
 
6.4%
의령군 11
 
6.4%
진주시 11
 
6.4%
거제시 10
 
5.8%
함양군 10
 
5.8%
산청군 9
 
5.2%
Other values (10) 57
32.9%

Length

2023-12-11T09:36:38.749754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
합천군 16
 
9.2%
창녕군 13
 
7.5%
고성군 13
 
7.5%
하동군 12
 
6.9%
거창군 11
 
6.4%
의령군 11
 
6.4%
진주시 11
 
6.4%
거제시 10
 
5.8%
함양군 10
 
5.8%
밀양시 9
 
5.2%
Other values (10) 57
32.9%

보건지소명
Text

Distinct172
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:36:39.068086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0867052
Min length2

Characters and Unicode

Total characters534
Distinct characters123
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)98.8%

Sample

1st row동읍
2nd row북면
3rd row대산면
4th row동마산
5th row내서읍
ValueCountFrequency (%)
대산면 2
 
1.1%
적량면 1
 
0.6%
신안면 1
 
0.6%
고전면 1
 
0.6%
서면 1
 
0.6%
고현면 1
 
0.6%
설천면 1
 
0.6%
창선면 1
 
0.6%
화개면 1
 
0.6%
악양면 1
 
0.6%
Other values (163) 163
93.7%
2023-12-11T09:36:39.547414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 153
28.7%
동 15
 
2.8%
산 14
 
2.6%
곡 12
 
2.2%
천 12
 
2.2%
대 11
 
2.1%
북 10
 
1.9%
읍 10
 
1.9%
상 10
 
1.9%
남 9
 
1.7%
Other values (113) 278
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
99.8%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 153
28.7%
동 15
 
2.8%
산 14
 
2.6%
곡 12
 
2.3%
천 12
 
2.3%
대 11
 
2.1%
북 10
 
1.9%
읍 10
 
1.9%
상 10
 
1.9%
남 9
 
1.7%
Other values (112) 277
52.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 153
28.7%
동 15
 
2.8%
산 14
 
2.6%
곡 12
 
2.3%
천 12
 
2.3%
대 11
 
2.1%
북 10
 
1.9%
읍 10
 
1.9%
상 10
 
1.9%
남 9
 
1.7%
Other values (112) 277
52.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
99.8%
ASCII 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 153
28.7%
동 15
 
2.8%
산 14
 
2.6%
곡 12
 
2.3%
천 12
 
2.3%
대 11
 
2.1%
북 10
 
1.9%
읍 10
 
1.9%
상 10
 
1.9%
남 9
 
1.7%
Other values (112) 277
52.0%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:36:39.844366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length23.508671
Min length15

Characters and Unicode

Total characters4067
Distinct characters190
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 의창구 동읍 용잠로 37-6
2nd row경상남도 창원시 의창구 북면 천주로 1093-4
3rd row경상남도 창원시 의창구 대산면 진산대로 355번길 14-9
4th row경상남도 창원시 마산회원구 구암남14길 33 (구암동)
5th row경상남도 창원시 마산회원구 내서읍 중리상곡로 69
ValueCountFrequency (%)
경상남도 173
 
18.9%
합천군 16
 
1.8%
창녕군 13
 
1.4%
고성군 13
 
1.4%
하동군 12
 
1.3%
의령군 11
 
1.2%
거창군 11
 
1.2%
진주시 11
 
1.2%
창원시 10
 
1.1%
함양군 10
 
1.1%
Other values (535) 634
69.4%
2023-12-11T09:36:40.289505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
750
 
18.4%
남 202
 
5.0%
상 190
 
4.7%
도 180
 
4.4%
경 175
 
4.3%
면 158
 
3.9%
1 138
 
3.4%
로 132
 
3.2%
군 112
 
2.8%
2 88
 
2.2%
Other values (180) 1942
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2504
61.6%
Space Separator 750
 
18.4%
Decimal Number 678
 
16.7%
Dash Punctuation 73
 
1.8%
Close Punctuation 31
 
0.8%
Open Punctuation 31
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 202
 
8.1%
상 190
 
7.6%
도 180
 
7.2%
경 175
 
7.0%
면 158
 
6.3%
로 132
 
5.3%
군 112
 
4.5%
시 64
 
2.6%
길 62
 
2.5%
산 54
 
2.2%
Other values (166) 1175
46.9%
Decimal Number
ValueCountFrequency (%)
1 138
20.4%
2 88
13.0%
3 75
11.1%
5 69
10.2%
4 67
9.9%
6 57
8.4%
7 52
 
7.7%
9 49
 
7.2%
8 44
 
6.5%
0 39
 
5.8%
Space Separator
ValueCountFrequency (%)
750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2504
61.6%
Common 1563
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 202
 
8.1%
상 190
 
7.6%
도 180
 
7.2%
경 175
 
7.0%
면 158
 
6.3%
로 132
 
5.3%
군 112
 
4.5%
시 64
 
2.6%
길 62
 
2.5%
산 54
 
2.2%
Other values (166) 1175
46.9%
Common
ValueCountFrequency (%)
750
48.0%
1 138
 
8.8%
2 88
 
5.6%
3 75
 
4.8%
- 73
 
4.7%
5 69
 
4.4%
4 67
 
4.3%
6 57
 
3.6%
7 52
 
3.3%
9 49
 
3.1%
Other values (4) 145
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2504
61.6%
ASCII 1563
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
750
48.0%
1 138
 
8.8%
2 88
 
5.6%
3 75
 
4.8%
- 73
 
4.7%
5 69
 
4.4%
4 67
 
4.3%
6 57
 
3.6%
7 52
 
3.3%
9 49
 
3.1%
Other values (4) 145
 
9.3%
Hangul
ValueCountFrequency (%)
남 202
 
8.1%
상 190
 
7.6%
도 180
 
7.2%
경 175
 
7.0%
면 158
 
6.3%
로 132
 
5.3%
군 112
 
4.5%
시 64
 
2.6%
길 62
 
2.5%
산 54
 
2.2%
Other values (166) 1175
46.9%

연락처
Text

Distinct172
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:36:40.519721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2076
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

Unique171 ?
Unique (%)98.8%

Sample

1st row055-225-5891
2nd row055-225-5901
3rd row055-225-5911
4th row055-225-6052
5th row055-225-6060
ValueCountFrequency (%)
055-359-5574 2
 
1.2%
055-882-5456 1
 
0.6%
055-970-7653 1
 
0.6%
055-860-8561 1
 
0.6%
055-860-8571 1
 
0.6%
055-860-8581 1
 
0.6%
055-883-2221 1
 
0.6%
055-883-3024 1
 
0.6%
055-880-6683 1
 
0.6%
055-882-6767 1
 
0.6%
Other values (162) 162
93.6%
2023-12-11T09:36:40.935768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 489
23.6%
- 346
16.7%
0 322
15.5%
6 163
 
7.9%
3 154
 
7.4%
7 118
 
5.7%
9 116
 
5.6%
2 104
 
5.0%
4 101
 
4.9%
8 97
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1730
83.3%
Dash Punctuation 346
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 489
28.3%
0 322
18.6%
6 163
 
9.4%
3 154
 
8.9%
7 118
 
6.8%
9 116
 
6.7%
2 104
 
6.0%
4 101
 
5.8%
8 97
 
5.6%
1 66
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 489
23.6%
- 346
16.7%
0 322
15.5%
6 163
 
7.9%
3 154
 
7.4%
7 118
 
5.7%
9 116
 
5.6%
2 104
 
5.0%
4 101
 
4.9%
8 97
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 489
23.6%
- 346
16.7%
0 322
15.5%
6 163
 
7.9%
3 154
 
7.4%
7 118
 
5.7%
9 116
 
5.6%
2 104
 
5.0%
4 101
 
4.9%
8 97
 
4.7%

진료과목
Categorical

Distinct22
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
내과
77 
내과, 한의과
43 
내과, 한의과, 치과
15 
내과, 치과
11 
내과,한의과
9 
Other values (17)
18 

Length

Max length25
Median length21
Mean length5.8034682
Min length2

Unique

Unique16 ?
Unique (%)9.2%

Sample

1st row내과
2nd row내과, 한의과
3rd row내과, 한의과
4th row내과
5th row내과

Common Values

ValueCountFrequency (%)
내과 77
44.5%
내과, 한의과 43
24.9%
내과, 한의과, 치과 15
 
8.7%
내과, 치과 11
 
6.4%
내과,한의과 9
 
5.2%
내과, 치과, 한의과 2
 
1.2%
내과.한의과(화) 1
 
0.6%
내과,치과 1
 
0.6%
내과, 한의과, 치과, 물리치료 1
 
0.6%
내과, 한의과, 물리치료 1
 
0.6%
Other values (12) 12
 
6.9%

Length

2023-12-11T09:36:41.070697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내과 155
56.2%
한의과 64
23.2%
치과 30
 
10.9%
내과,한의과 9
 
3.3%
치과(주1회 3
 
1.1%
한의과(주1회 2
 
0.7%
물리치료 2
 
0.7%
정신치매사업,재활보건 1
 
0.4%
내과.치과(월.수.금),한방(화 1
 
0.4%
내과.한의과(월.수.목 1
 
0.4%
Other values (8) 8
 
2.9%

진료시간
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
09:00~18:00
173 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00~18:00
2nd row09:00~18:00
3rd row09:00~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
09:00~18:00 173
100.0%

Length

2023-12-11T09:36:41.185114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:36:41.303781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~18:00 173
100.0%

Correlations

2023-12-11T09:36:41.369705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군진료과목
시군1.0000.732
진료과목0.7321.000
2023-12-11T09:36:41.463599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
진료과목시군
진료과목1.0000.292
시군0.2921.000
2023-12-11T09:36:41.585417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군진료과목
시군1.0000.292
진료과목0.2921.000

Missing values

2023-12-11T09:36:38.526395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:36:38.630390image/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

시군보건지소명소재지연락처진료과목진료시간
0창원시(창원)동읍경상남도 창원시 의창구 동읍 용잠로 37-6055-225-5891내과09:00~18:00
1창원시(창원)북면경상남도 창원시 의창구 북면 천주로 1093-4055-225-5901내과, 한의과09:00~18:00
2창원시(창원)대산면경상남도 창원시 의창구 대산면 진산대로 355번길 14-9055-225-5911내과, 한의과09:00~18:00
3창원시(마산)동마산경상남도 창원시 마산회원구 구암남14길 33 (구암동)055-225-6052내과09:00~18:00
4창원시(마산)내서읍경상남도 창원시 마산회원구 내서읍 중리상곡로 69055-225-6060내과09:00~18:00
5창원시(마산)구산면경상남도 창원시 마산합포구 구산면 해안관광로 1467055-225-6071내과,한의과09:00~18:00
6창원시(마산)진동면경상남도 창원시 마산합포구 진동면 신서촌로 13055-225-6075내과, 한의과09:00~18:00
7창원시(마산)진북면경상남도 창원시 마산합포구 진북면 지산1길 71055-225-6077내과, 한의과09:00~18:00
8창원시(마산)진전면경상남도 창원시 마산합포구 진전면 대실로 155055-225-6081내과09:00~18:00
9창원시(진해)진해보건소 서부경상남도 창원시 진해구 중원동로 62055-225-6151만성질환관리, 정신치매사업,재활보건, 방문사업09:00~18:00
시군보건지소명소재지연락처진료과목진료시간
163합천군쌍책면경상남도 합천군 쌍책면 성산우회로 8055-930-3777내과09:00~18:00
164합천군덕곡면경상남도 합천군 덕곡면 율지2길 13-5055-930-3778내과, 한의과09:00~18:00
165합천군청덕면경상남도 합천군 청덕면 동부로 1754055-930-3779내과09:00~18:00
166합천군적중면경상남도 합천군 적중면 적중로 101-8055-930-3780내과09:00~18:00
167합천군대양면경상남도 합천군 대양면 대야로 267055-930-3781내과09:00~18:00
168합천군쌍백면경상남도 합천군 쌍백면 평구3길 14055-930-3782내과, 한의과09:00~18:00
169합천군삼가면경상남도 합천군 삼가면 삼가로 299055-930-3783내과, 한의과, 치과09:00~18:00
170합천군가회면경상남도 합천군 가회면 황매산로 58-12055-930-3784내과, 한의과09:00~18:00
171합천군대병면경상남도 합천군 대병면 신성동길 23055-930-3785내과, 한의과09:00~18:00
172합천군용주면경상남도 합천군 용주면 황계폭포로 1154-1055-930-3786내과09:00~18:00