Overview

Dataset statistics

Number of variables10
Number of observations407
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory82.3 B

Variable types

Numeric1
Categorical5
Text3
Boolean1

Dataset

Description전북특별자치도 보건소, 도시보건지소, 치매상담센터 안내전북특별자치도에 위치한 보건소, 보건지소, 보건진료소의 이름우리기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/3081361/fileData.do

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:33:09.274549
Analysis finished2024-03-14 13:33:10.843013
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204
Minimum1
Maximum407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-14T22:33:11.050086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.3
Q1102.5
median204
Q3305.5
95-th percentile386.7
Maximum407
Range406
Interquartile range (IQR)203

Descriptive statistics

Standard deviation117.63503
Coefficient of variation (CV)0.5766423
Kurtosis-1.2
Mean204
Median Absolute Deviation (MAD)102
Skewness0
Sum83028
Variance13838
MonotonicityStrictly increasing
2024-03-14T22:33:11.727784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
269 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
Other values (397) 397
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
정읍시
43 
익산시
40 
남원시
40 
김제시
40 
고창군
36 
Other values (9)
208 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정읍시 43
10.6%
익산시 40
9.8%
남원시 40
9.8%
김제시 40
9.8%
고창군 36
8.8%
군산시 34
8.4%
임실군 32
7.9%
완주군 30
7.4%
순창군 28
6.9%
진안군 23
 
5.7%
Other values (4) 61
15.0%

Length

2024-03-14T22:33:12.140226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정읍시 43
10.6%
익산시 40
9.8%
남원시 40
9.8%
김제시 40
9.8%
고창군 36
8.8%
군산시 34
8.4%
임실군 32
7.9%
완주군 30
7.4%
순창군 28
6.9%
진안군 23
 
5.7%
Other values (4) 61
15.0%

분류
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
보건진료소
242 
보건지소
150 
보건소
 
15

Length

Max length5
Median length5
Mean length4.5577396
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보건진료소 242
59.5%
보건지소 150
36.9%
보건소 15
 
3.7%

Length

2024-03-14T22:33:12.541160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:33:12.894360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 242
59.5%
보건지소 150
36.9%
보건소 15
 
3.7%

보건소명
Text

Distinct396
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-14T22:33:13.885650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.7862408
Min length6

Characters and Unicode

Total characters2762
Distinct characters189
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

Unique387 ?
Unique (%)95.1%

Sample

1st row전주시보건소
2nd row전주시평화보건지소
3rd row금상보건진료소
4th row도덕보건진료소
5th row중인보건진료소
ValueCountFrequency (%)
성동보건진료소 3
 
0.7%
성덕보건진료소 3
 
0.7%
학선보건진료소 2
 
0.5%
하제보건진료소 2
 
0.5%
대산면보건지소 2
 
0.5%
금평보건진료소 2
 
0.5%
성수보건지소 2
 
0.5%
대곡보건진료소 2
 
0.5%
회룡보건진료소 2
 
0.5%
장안보건진료소 1
 
0.2%
Other values (386) 386
94.8%
2024-03-14T22:33:15.372345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 410
14.8%
건 408
14.8%
소 407
14.7%
진 252
 
9.1%
료 246
 
8.9%
지 162
 
5.9%
산 49
 
1.8%
면 36
 
1.3%
동 28
 
1.0%
성 24
 
0.9%
Other values (179) 740
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2762
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 410
14.8%
건 408
14.8%
소 407
14.7%
진 252
 
9.1%
료 246
 
8.9%
지 162
 
5.9%
산 49
 
1.8%
면 36
 
1.3%
동 28
 
1.0%
성 24
 
0.9%
Other values (179) 740
26.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2762
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 410
14.8%
건 408
14.8%
소 407
14.7%
진 252
 
9.1%
료 246
 
8.9%
지 162
 
5.9%
산 49
 
1.8%
면 36
 
1.3%
동 28
 
1.0%
성 24
 
0.9%
Other values (179) 740
26.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2762
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 410
14.8%
건 408
14.8%
소 407
14.7%
진 252
 
9.1%
료 246
 
8.9%
지 162
 
5.9%
산 49
 
1.8%
면 36
 
1.3%
동 28
 
1.0%
성 24
 
0.9%
Other values (179) 740
26.8%

도로명주소
Text

Distinct406
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-14T22:33:17.035050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length15.353808
Min length10

Characters and Unicode

Total characters6249
Distinct characters243
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)99.5%

Sample

1st row전주시 완산구 전라감영로 33
2nd row전주시 완산구 평화13길 7
3rd row전주시 덕진구 수리재길 86
4th row전주시 덕진구 동계1길 8
5th row전주시 완산구 중인1길 140
ValueCountFrequency (%)
정읍시 43
 
2.7%
김제시 40
 
2.5%
남원시 40
 
2.5%
익산시 40
 
2.5%
고창군 36
 
2.2%
군산시 34
 
2.1%
임실군 32
 
2.0%
완주군 30
 
1.9%
순창군 28
 
1.7%
부안군 23
 
1.4%
Other values (840) 1269
78.6%
2024-03-14T22:33:19.134171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1208
 
19.3%
면 360
 
5.8%
1 262
 
4.2%
군 240
 
3.8%
시 206
 
3.3%
길 205
 
3.3%
로 203
 
3.2%
산 161
 
2.6%
2 151
 
2.4%
3 147
 
2.4%
Other values (233) 3106
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3760
60.2%
Space Separator 1208
 
19.3%
Decimal Number 1186
 
19.0%
Dash Punctuation 95
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 360
 
9.6%
군 240
 
6.4%
시 206
 
5.5%
길 205
 
5.5%
로 203
 
5.4%
산 161
 
4.3%
읍 74
 
2.0%
안 74
 
2.0%
창 74
 
2.0%
주 72
 
1.9%
Other values (221) 2091
55.6%
Decimal Number
ValueCountFrequency (%)
1 262
22.1%
2 151
12.7%
3 147
12.4%
4 116
9.8%
8 103
 
8.7%
5 98
 
8.3%
6 95
 
8.0%
0 76
 
6.4%
9 73
 
6.2%
7 65
 
5.5%
Space Separator
ValueCountFrequency (%)
1208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3760
60.2%
Common 2489
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 360
 
9.6%
군 240
 
6.4%
시 206
 
5.5%
길 205
 
5.5%
로 203
 
5.4%
산 161
 
4.3%
읍 74
 
2.0%
안 74
 
2.0%
창 74
 
2.0%
주 72
 
1.9%
Other values (221) 2091
55.6%
Common
ValueCountFrequency (%)
1208
48.5%
1 262
 
10.5%
2 151
 
6.1%
3 147
 
5.9%
4 116
 
4.7%
8 103
 
4.1%
5 98
 
3.9%
- 95
 
3.8%
6 95
 
3.8%
0 76
 
3.1%
Other values (2) 138
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3760
60.2%
ASCII 2489
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1208
48.5%
1 262
 
10.5%
2 151
 
6.1%
3 147
 
5.9%
4 116
 
4.7%
8 103
 
4.1%
5 98
 
3.9%
- 95
 
3.8%
6 95
 
3.8%
0 76
 
3.1%
Other values (2) 138
 
5.5%
Hangul
ValueCountFrequency (%)
면 360
 
9.6%
군 240
 
6.4%
시 206
 
5.5%
길 205
 
5.5%
로 203
 
5.4%
산 161
 
4.3%
읍 74
 
2.0%
안 74
 
2.0%
창 74
 
2.0%
주 72
 
1.9%
Other values (221) 2091
55.6%

전화번호
Text

Distinct403
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-14T22:33:20.130590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.992629
Min length9

Characters and Unicode

Total characters4881
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

Unique399 ?
Unique (%)98.0%

Sample

1st row063-281-6200
2nd row063-281-6649
3rd row063-241-0364
4th row063-542-7514
5th row063-221-0054
ValueCountFrequency (%)
063-571-2017 2
 
0.5%
063-290-3131 2
 
0.5%
063-320-8314 2
 
0.5%
063-538-8368 2
 
0.5%
063-324-1174 1
 
0.2%
063-351-8000 1
 
0.2%
063-352-2621 1
 
0.2%
063-352-0956 1
 
0.2%
063-351-2275 1
 
0.2%
063-351-3405 1
 
0.2%
Other values (393) 393
96.6%
2024-03-14T22:33:21.522039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 813
16.7%
0 743
15.2%
6 715
14.6%
3 711
14.6%
5 424
8.7%
4 352
7.2%
8 282
 
5.8%
2 275
 
5.6%
9 206
 
4.2%
7 182
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4068
83.3%
Dash Punctuation 813
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 743
18.3%
6 715
17.6%
3 711
17.5%
5 424
10.4%
4 352
8.7%
8 282
 
6.9%
2 275
 
6.8%
9 206
 
5.1%
7 182
 
4.5%
1 178
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 813
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 813
16.7%
0 743
15.2%
6 715
14.6%
3 711
14.6%
5 424
8.7%
4 352
7.2%
8 282
 
5.8%
2 275
 
5.6%
9 206
 
4.2%
7 182
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 813
16.7%
0 743
15.2%
6 715
14.6%
3 711
14.6%
5 424
8.7%
4 352
7.2%
8 282
 
5.8%
2 275
 
5.6%
9 206
 
4.2%
7 182
 
3.7%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
보건의료과
407 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보건의료과 407
100.0%

Length

2024-03-14T22:33:21.928922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:33:22.235440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건의료과 407
100.0%

공개여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size535.0 B
True
407 
ValueCountFrequency (%)
True 407
100.0%
2024-03-14T22:33:22.507396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2016-04-01
407 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-04-01
2nd row2016-04-01
3rd row2016-04-01
4th row2016-04-01
5th row2016-04-01

Common Values

ValueCountFrequency (%)
2016-04-01 407
100.0%

Length

2024-03-14T22:33:22.840876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:33:23.150149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-04-01 407
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
1
407 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 407
100.0%

Length

2024-03-14T22:33:23.474845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:33:23.781124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 407
100.0%

Interactions

2024-03-14T22:33:09.807012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:33:23.967961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명분류
순번1.0000.9810.000
시군명0.9811.0000.000
분류0.0000.0001.000
2024-03-14T22:33:24.205714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명분류
시군명1.0000.000
분류0.0001.000
2024-03-14T22:33:24.440679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명분류
순번1.0000.9100.000
시군명0.9101.0000.000
분류0.0000.0001.000

Missing values

2024-03-14T22:33:10.190016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:33:10.659703image/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

순번시군명분류보건소명도로명주소전화번호자료출처공개여부작성일갱신주기
01전주시보건소전주시보건소전주시 완산구 전라감영로 33063-281-6200보건의료과Y2016-04-011
12전주시보건소전주시평화보건지소전주시 완산구 평화13길 7063-281-6649보건의료과Y2016-04-011
23전주시보건진료소금상보건진료소전주시 덕진구 수리재길 86063-241-0364보건의료과Y2016-04-011
34전주시보건진료소도덕보건진료소전주시 덕진구 동계1길 8063-542-7514보건의료과Y2016-04-011
45전주시보건진료소중인보건진료소전주시 완산구 중인1길 140063-221-0054보건의료과Y2016-04-011
56군산시보건지소옥구보건지소군산시 옥구읍 옥구로 21063-454-5084보건의료과Y2016-04-011
67군산시보건지소개야도보건지소군산시 옥도면 개야도6길 22063-454-5157보건의료과Y2016-04-011
78군산시보건지소선유도보건지소군산시 옥도면 선유북길 68063-454-5149보건의료과Y2016-04-011
89군산시보건지소어청도보건지소군산시 옥도면 어청도길 98063-454-5143보건의료과Y2016-04-011
910군산시보건지소대야면보건지소군산시 대야면 백마길 16063-454-5075보건의료과Y2016-04-011
순번시군명분류보건소명도로명주소전화번호자료출처공개여부작성일갱신주기
397398부안군보건진료소계화보건진료소부안군 계화면 계화4길 73063-528-1921보건의료과Y2016-04-011
398399부안군보건진료소내요보건진료소부안군 부안읍 돌모산로 64063-582-9013보건의료과Y2016-04-011
399400부안군보건진료소대수보건진료소부안군 백산면 대소수안길 11063-580-2096보건의료과Y2016-04-011
400401부안군보건진료소대초보건진료소부안군 행안면 대초길 10063-582-9198보건의료과Y2016-04-011
401402부안군보건진료소덕림보건진료소부안군 주산면 덕림로 262063-583-1026보건의료과Y2016-04-011
402403부안군보건진료소돈지보건진료소부안군 계화면 돈지로 156063-582-1184보건의료과Y2016-04-011
403404부안군보건진료소상림보건진료소부안군 보안면 보안로 538063-582-3654보건의료과Y2016-04-011
404405부안군보건진료소식도보건진료소부안군 위도면 식도1길 15-2063-583-5679보건의료과Y2016-04-011
405406부안군보건진료소조포보건진료소부안군 계화면 새포로 747063-582-1920보건의료과Y2016-04-011
406407부안군보건진료소증산보건진료소부안군 동진면 증산길 89063-583-6359보건의료과Y2016-04-011