Overview

Dataset statistics

Number of variables5
Number of observations409
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.1 KiB
Average record size in memory40.3 B

Variable types

Categorical2
Text3

Dataset

Description충청남도 보건기관 현황에 대한 데이터 입니다. 시군별 보건소 수, 보건지소 수, 건강생활지원센터 수, 보건진료소 수 정보를 제공합니다.
Author충청남도
URLhttps://www.data.go.kr/data/15063022/fileData.do

Reproduction

Analysis started2023-12-12 08:28:04.950777
Analysis finished2023-12-12 08:28:05.500756
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct15
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
논산시
41 
부여군
37 
천안시
34 
당진시
32 
공주시
30 
Other values (10)
235 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
논산시 41
10.0%
부여군 37
 
9.0%
천안시 34
 
8.3%
당진시 32
 
7.8%
공주시 30
 
7.3%
아산시 29
 
7.1%
예산군 29
 
7.1%
보령시 28
 
6.8%
서천군 28
 
6.8%
서산시 26
 
6.4%
Other values (5) 95
23.2%

Length

2023-12-12T17:28:05.576538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
논산시 41
10.0%
부여군 37
 
9.0%
천안시 34
 
8.3%
당진시 32
 
7.8%
공주시 30
 
7.3%
아산시 29
 
7.1%
예산군 29
 
7.1%
보령시 28
 
6.8%
서천군 28
 
6.8%
서산시 26
 
6.4%
Other values (5) 95
23.2%

분류
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
보건진료소
236 
보건지소
150 
보건소
 
16
건강생활지원센터
 
7

Length

Max length8
Median length5
Mean length4.606357
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보건소
2nd row보건소
3rd row보건지소
4th row보건지소
5th row보건지소

Common Values

ValueCountFrequency (%)
보건진료소 236
57.7%
보건지소 150
36.7%
보건소 16
 
3.9%
건강생활지원센터 7
 
1.7%

Length

2023-12-12T17:28:05.689165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:28:05.791457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 236
57.7%
보건지소 150
36.7%
보건소 16
 
3.9%
건강생활지원센터 7
 
1.7%

이름
Text

Distinct400
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:28:06.079992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.8117359
Min length6

Characters and Unicode

Total characters2786
Distinct characters195
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

Unique392 ?
Unique (%)95.8%

Sample

1st row천안시동남구보건소
2nd row천안시서북구보건소
3rd row동면보건지소
4th row목천보건지소
5th row북면보건지소
ValueCountFrequency (%)
산직보건진료소 3
 
0.7%
송악보건지소 2
 
0.5%
금성보건진료소 2
 
0.5%
용봉보건진료소 2
 
0.5%
덕지보건진료소 2
 
0.5%
남면보건지소 2
 
0.5%
신흥보건진료소 2
 
0.5%
백석보건진료소 2
 
0.5%
홍연보건진료소 1
 
0.2%
북부보건진료소 1
 
0.2%
Other values (390) 390
95.4%
2023-12-12T17:28:06.566819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 409
14.7%
보 405
14.5%
소 405
14.5%
진 242
 
8.7%
료 238
 
8.5%
지 172
 
6.2%
산 51
 
1.8%
성 29
 
1.0%
리 24
 
0.9%
신 21
 
0.8%
Other values (185) 790
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2786
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 409
14.7%
보 405
14.5%
소 405
14.5%
진 242
 
8.7%
료 238
 
8.5%
지 172
 
6.2%
산 51
 
1.8%
성 29
 
1.0%
리 24
 
0.9%
신 21
 
0.8%
Other values (185) 790
28.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2786
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 409
14.7%
보 405
14.5%
소 405
14.5%
진 242
 
8.7%
료 238
 
8.5%
지 172
 
6.2%
산 51
 
1.8%
성 29
 
1.0%
리 24
 
0.9%
신 21
 
0.8%
Other values (185) 790
28.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2786
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 409
14.7%
보 405
14.5%
소 405
14.5%
진 242
 
8.7%
료 238
 
8.5%
지 172
 
6.2%
산 51
 
1.8%
성 29
 
1.0%
리 24
 
0.9%
신 21
 
0.8%
Other values (185) 790
28.4%

주소
Text

Distinct403
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:28:07.005109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length24.075795
Min length13

Characters and Unicode

Total characters9847
Distinct characters273
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique397 ?
Unique (%)97.1%

Sample

1st row충남 천안시 동남구 버들로 34 동남구보건소 (문화동)
2nd row충남 천안시 서북구 번영로 156
3rd row충남 천안시 동남구 광덕면 신흥리3길 33
4th row충남 천안시 동남구 동면 동산1길 15-1
5th row충남 천안시 동남구 목천읍 서리1길 41-9
ValueCountFrequency (%)
충남 407
 
18.0%
논산시 41
 
1.8%
부여군 37
 
1.6%
천안시 34
 
1.5%
당진시 32
 
1.4%
공주시 30
 
1.3%
예산군 29
 
1.3%
아산시 29
 
1.3%
보령시 28
 
1.2%
서천군 28
 
1.2%
Other values (1020) 1569
69.3%
2023-12-12T17:28:07.624361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1940
 
19.7%
남 474
 
4.8%
충 425
 
4.3%
면 370
 
3.8%
1 269
 
2.7%
산 265
 
2.7%
로 248
 
2.5%
시 239
 
2.4%
길 213
 
2.2%
군 203
 
2.1%
Other values (263) 5201
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6160
62.6%
Space Separator 1940
 
19.7%
Decimal Number 1345
 
13.7%
Close Punctuation 129
 
1.3%
Open Punctuation 129
 
1.3%
Dash Punctuation 120
 
1.2%
Connector Punctuation 22
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 474
 
7.7%
충 425
 
6.9%
면 370
 
6.0%
산 265
 
4.3%
로 248
 
4.0%
시 239
 
3.9%
길 213
 
3.5%
군 203
 
3.3%
보 201
 
3.3%
소 183
 
3.0%
Other values (247) 3339
54.2%
Decimal Number
ValueCountFrequency (%)
1 269
20.0%
2 189
14.1%
3 162
12.0%
6 133
9.9%
4 127
9.4%
5 123
9.1%
7 93
 
6.9%
8 92
 
6.8%
9 83
 
6.2%
0 74
 
5.5%
Space Separator
ValueCountFrequency (%)
1940
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6160
62.6%
Common 3687
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 474
 
7.7%
충 425
 
6.9%
면 370
 
6.0%
산 265
 
4.3%
로 248
 
4.0%
시 239
 
3.9%
길 213
 
3.5%
군 203
 
3.3%
보 201
 
3.3%
소 183
 
3.0%
Other values (247) 3339
54.2%
Common
ValueCountFrequency (%)
1940
52.6%
1 269
 
7.3%
2 189
 
5.1%
3 162
 
4.4%
6 133
 
3.6%
) 129
 
3.5%
( 129
 
3.5%
4 127
 
3.4%
5 123
 
3.3%
- 120
 
3.3%
Other values (6) 366
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6160
62.6%
ASCII 3687
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1940
52.6%
1 269
 
7.3%
2 189
 
5.1%
3 162
 
4.4%
6 133
 
3.6%
) 129
 
3.5%
( 129
 
3.5%
4 127
 
3.4%
5 123
 
3.3%
- 120
 
3.3%
Other values (6) 366
 
9.9%
Hangul
ValueCountFrequency (%)
남 474
 
7.7%
충 425
 
6.9%
면 370
 
6.0%
산 265
 
4.3%
로 248
 
4.0%
시 239
 
3.9%
길 213
 
3.5%
군 203
 
3.3%
보 201
 
3.3%
소 183
 
3.0%
Other values (247) 3339
54.2%

전화번호
Text

Distinct400
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:28:07.921785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.987775
Min length7

Characters and Unicode

Total characters4903
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

Unique391 ?
Unique (%)95.6%

Sample

1st row041-521-2650
2nd row041-521-2552
3rd row041-521-2577
4th row041-521-2583
5th row041-521-2574
ValueCountFrequency (%)
041-339-8993 2
 
0.5%
041-950-6790 2
 
0.5%
041-951-0783 2
 
0.5%
041-936-5118 2
 
0.5%
041-583-4927 2
 
0.5%
041-633-6955 2
 
0.5%
041-633-2357 2
 
0.5%
041-840-2518 2
 
0.5%
041-950-6700 2
 
0.5%
041-830-2780 1
 
0.2%
Other values (390) 390
95.4%
2023-12-12T17:28:08.389959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 817
16.7%
0 685
14.0%
4 653
13.3%
1 629
12.8%
6 403
8.2%
3 361
7.4%
5 309
 
6.3%
2 303
 
6.2%
8 274
 
5.6%
7 253
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4086
83.3%
Dash Punctuation 817
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 685
16.8%
4 653
16.0%
1 629
15.4%
6 403
9.9%
3 361
8.8%
5 309
7.6%
2 303
7.4%
8 274
 
6.7%
7 253
 
6.2%
9 216
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 817
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4903
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 817
16.7%
0 685
14.0%
4 653
13.3%
1 629
12.8%
6 403
8.2%
3 361
7.4%
5 309
 
6.3%
2 303
 
6.2%
8 274
 
5.6%
7 253
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 817
16.7%
0 685
14.0%
4 653
13.3%
1 629
12.8%
6 403
8.2%
3 361
7.4%
5 309
 
6.3%
2 303
 
6.2%
8 274
 
5.6%
7 253
 
5.2%

Correlations

2023-12-12T17:28:08.528546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분분류
구분1.0000.000
분류0.0001.000
2023-12-12T17:28:08.619184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분분류
구분1.0000.000
분류0.0001.000
2023-12-12T17:28:08.712071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분분류
구분1.0000.000
분류0.0001.000

Missing values

2023-12-12T17:28:05.333398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:28:05.452330image/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

구분분류이름주소전화번호
0천안시보건소천안시동남구보건소충남 천안시 동남구 버들로 34 동남구보건소 (문화동)041-521-2650
1천안시보건소천안시서북구보건소충남 천안시 서북구 번영로 156041-521-2552
2천안시보건지소동면보건지소충남 천안시 동남구 광덕면 신흥리3길 33041-521-2577
3천안시보건지소목천보건지소충남 천안시 동남구 동면 동산1길 15-1041-521-2583
4천안시보건지소북면보건지소충남 천안시 동남구 목천읍 서리1길 41-9041-521-2574
5천안시보건지소성남보건지소충남 천안시 동남구 병천면 병천2로 57041-521-2581
6천안시보건지소수신보건지소충남 천안시 동남구 북면 위례성로 724041-521-2578
7천안시보건지소광덕보건지소충남 천안시 동남구 성남면 신사대화로 141041-521-2579
8천안시보건지소병천보건지소충남 천안시 동남구 수신면 수신로 436041-521-2580
9천안시보건지소풍세보건지소충남 천안시 동남구 풍세면 상정1길 9041-521-2576
구분분류이름주소전화번호
399태안군보건진료소신온리보건진료소충남 태안군 남면 마검포길 104-8 신온보건진료소 (신온보건진료소)041-675-5678
400태안군보건진료소안기리보건진료소충남 태안군 근흥면 명장길 6-10 안기리보건진료소 (안기리진료보건소)041-673-0867
401태안군보건진료소의항리보건진료소충남 태안군 소원면 개목길 25-7 의항리보건진료소041-675-9113
402태안군보건진료소장곡리보건진료소충남 태안군 고남면 큰장돌길 128-1_ 장곡보건진료소 (장곡보건진료소)041-673-3214
403태안군보건진료소정죽리보건진료소충남 태안군 근흥면 안흥1길 29 (보건진료소)041-675-1311
404태안군보건진료소중장리보건진료소충남 태안군 안면읍 율포길 14 중장리보건진료소041-673-5713
405태안군보건진료소창기리보건진료소충남 태안군 안면읍 황도로 37 창기리보건진료소 (창기리보건진료소)041-673-5566
406태안군보건진료소파도리보건진료소충남 태안군 소원면 구모배길 27 파도리보건진료소 (파도리보건소)041-672-7290
407태안군보건진료소황도리보건진료소충남 태안군 안면읍 풍어제길 65-9041-673-8252
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