Overview

Dataset statistics

Number of variables7
Number of observations664
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.1 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description2016제세동기설치내역공공데이터
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201885

Alerts

자료출처 has constant value ""Constant
NO is highly overall correlated with 관할보건소High correlation
관할보건소 is highly overall correlated with NOHigh correlation
NO has unique valuesUnique

Reproduction

Analysis started2024-03-13 23:53:44.629150
Analysis finished2024-03-13 23:53:45.313300
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct664
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.0241
Minimum1
Maximum666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-14T08:53:45.375661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.15
Q1167.75
median334.5
Q3500.25
95-th percentile632.85
Maximum666
Range665
Interquartile range (IQR)332.5

Descriptive statistics

Standard deviation192.40326
Coefficient of variation (CV)0.57601612
Kurtosis-1.199311
Mean334.0241
Median Absolute Deviation (MAD)166.5
Skewness-0.0045216874
Sum221792
Variance37019.016
MonotonicityStrictly increasing
2024-03-14T08:53:45.492361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
440 1
 
0.2%
442 1
 
0.2%
443 1
 
0.2%
444 1
 
0.2%
445 1
 
0.2%
446 1
 
0.2%
447 1
 
0.2%
448 1
 
0.2%
449 1
 
0.2%
Other values (654) 654
98.5%
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 (%)
666 1
0.2%
665 1
0.2%
664 1
0.2%
663 1
0.2%
662 1
0.2%
661 1
0.2%
660 1
0.2%
659 1
0.2%
658 1
0.2%
657 1
0.2%

설치기관명
Text

Distinct587
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-14T08:53:45.675337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.6912651
Min length3

Characters and Unicode

Total characters5771
Distinct characters287
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique548 ?
Unique (%)82.5%

Sample

1st row고수면내창보건진료소
2nd row고수면보건지소
3rd row고창읍백양보건진료소
4th row고창읍덕정보건진료소
5th row고창군공설운동장
ValueCountFrequency (%)
정읍시보건소 13
 
1.8%
주)케이티링커스 8
 
1.1%
익산지사 8
 
1.1%
보건지소 7
 
1.0%
익산역 7
 
1.0%
케이티링거스(주 6
 
0.8%
전주지사 6
 
0.8%
군산시보건소 5
 
0.7%
무주군보건의료원 4
 
0.6%
군산소방서(사정119안전센터 3
 
0.4%
Other values (598) 645
90.6%
2024-03-14T08:53:46.215128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 529
 
9.2%
보 427
 
7.4%
건 427
 
7.4%
진 276
 
4.8%
료 250
 
4.3%
지 202
 
3.5%
1 176
 
3.0%
전 127
 
2.2%
산 120
 
2.1%
) 113
 
2.0%
Other values (277) 3124
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5204
90.2%
Decimal Number 282
 
4.9%
Close Punctuation 113
 
2.0%
Open Punctuation 105
 
1.8%
Space Separator 48
 
0.8%
Uppercase Letter 15
 
0.3%
Dash Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 529
 
10.2%
보 427
 
8.2%
건 427
 
8.2%
진 276
 
5.3%
료 250
 
4.8%
지 202
 
3.9%
전 127
 
2.4%
산 120
 
2.3%
서 101
 
1.9%
안 100
 
1.9%
Other values (258) 2645
50.8%
Decimal Number
ValueCountFrequency (%)
1 176
62.4%
9 85
30.1%
2 8
 
2.8%
4 3
 
1.1%
5 3
 
1.1%
3 3
 
1.1%
8 2
 
0.7%
0 1
 
0.4%
6 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
K 4
26.7%
T 4
26.7%
H 3
20.0%
L 3
20.0%
E 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5204
90.2%
Common 552
 
9.6%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 529
 
10.2%
보 427
 
8.2%
건 427
 
8.2%
진 276
 
5.3%
료 250
 
4.8%
지 202
 
3.9%
전 127
 
2.4%
산 120
 
2.3%
서 101
 
1.9%
안 100
 
1.9%
Other values (258) 2645
50.8%
Common
ValueCountFrequency (%)
1 176
31.9%
) 113
20.5%
( 105
19.0%
9 85
15.4%
48
 
8.7%
2 8
 
1.4%
- 3
 
0.5%
4 3
 
0.5%
5 3
 
0.5%
3 3
 
0.5%
Other values (4) 5
 
0.9%
Latin
ValueCountFrequency (%)
K 4
26.7%
T 4
26.7%
H 3
20.0%
L 3
20.0%
E 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5204
90.2%
ASCII 567
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 529
 
10.2%
보 427
 
8.2%
건 427
 
8.2%
진 276
 
5.3%
료 250
 
4.8%
지 202
 
3.9%
전 127
 
2.4%
산 120
 
2.3%
서 101
 
1.9%
안 100
 
1.9%
Other values (258) 2645
50.8%
ASCII
ValueCountFrequency (%)
1 176
31.0%
) 113
19.9%
( 105
18.5%
9 85
15.0%
48
 
8.5%
2 8
 
1.4%
K 4
 
0.7%
T 4
 
0.7%
- 3
 
0.5%
4 3
 
0.5%
Other values (9) 18
 
3.2%

설치주소
Text

Distinct624
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-14T08:53:46.518907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.853916
Min length14

Characters and Unicode

Total characters13847
Distinct characters258
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

Unique594 ?
Unique (%)89.5%

Sample

1st row전라북도 고창군 고수면 초내리 23-2
2nd row전라북도 고창군 고수면 황산리 269-4
3rd row전라북도 고창군 고창읍 덕산리 134-3
4th row전라북도 고창군 고창읍 덕정리 76-1
5th row전라북도 고창군 고창읍 월암리 316
ValueCountFrequency (%)
전라북도 655
 
20.3%
정읍시 68
 
2.1%
익산시 65
 
2.0%
전주시 64
 
2.0%
남원시 61
 
1.9%
김제시 58
 
1.8%
군산시 58
 
1.8%
완주군 47
 
1.5%
고창군 44
 
1.4%
부안군 40
 
1.2%
Other values (1268) 2069
64.1%
2024-03-14T08:53:46.954678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2611
18.9%
전 739
 
5.3%
도 687
 
5.0%
북 679
 
4.9%
라 657
 
4.7%
1 499
 
3.6%
면 417
 
3.0%
리 412
 
3.0%
- 389
 
2.8%
시 381
 
2.8%
Other values (248) 6376
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8413
60.8%
Space Separator 2611
 
18.9%
Decimal Number 2431
 
17.6%
Dash Punctuation 389
 
2.8%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 739
 
8.8%
도 687
 
8.2%
북 679
 
8.1%
라 657
 
7.8%
면 417
 
5.0%
리 412
 
4.9%
시 381
 
4.5%
군 349
 
4.1%
산 277
 
3.3%
동 176
 
2.1%
Other values (233) 3639
43.3%
Decimal Number
ValueCountFrequency (%)
1 499
20.5%
2 293
12.1%
3 288
11.8%
4 238
9.8%
5 233
9.6%
6 222
9.1%
8 180
 
7.4%
7 174
 
7.2%
0 167
 
6.9%
9 137
 
5.6%
Space Separator
ValueCountFrequency (%)
2611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 389
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8413
60.8%
Common 5434
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 739
 
8.8%
도 687
 
8.2%
북 679
 
8.1%
라 657
 
7.8%
면 417
 
5.0%
리 412
 
4.9%
시 381
 
4.5%
군 349
 
4.1%
산 277
 
3.3%
동 176
 
2.1%
Other values (233) 3639
43.3%
Common
ValueCountFrequency (%)
2611
48.0%
1 499
 
9.2%
- 389
 
7.2%
2 293
 
5.4%
3 288
 
5.3%
4 238
 
4.4%
5 233
 
4.3%
6 222
 
4.1%
8 180
 
3.3%
7 174
 
3.2%
Other values (5) 307
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8413
60.8%
ASCII 5434
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2611
48.0%
1 499
 
9.2%
- 389
 
7.2%
2 293
 
5.4%
3 288
 
5.3%
4 238
 
4.4%
5 233
 
4.3%
6 222
 
4.1%
8 180
 
3.3%
7 174
 
3.2%
Other values (5) 307
 
5.6%
Hangul
ValueCountFrequency (%)
전 739
 
8.8%
도 687
 
8.2%
북 679
 
8.1%
라 657
 
7.8%
면 417
 
5.0%
리 412
 
4.9%
시 381
 
4.5%
군 349
 
4.1%
산 277
 
3.3%
동 176
 
2.1%
Other values (233) 3639
43.3%

설치장소
Text

Distinct268
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-14T08:53:47.208437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length6.0888554
Min length2

Characters and Unicode

Total characters4043
Distinct characters237
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

Unique228 ?
Unique (%)34.3%

Sample

1st row현관
2nd row현관
3rd row현관
4th row현관
5th row실내수영장
ValueCountFrequency (%)
진료실 103
 
10.1%
1층 94
 
9.2%
내 84
 
8.2%
구급차 81
 
7.9%
대기실 59
 
5.8%
현관 43
 
4.2%
민원실 39
 
3.8%
접수실 35
 
3.4%
입구 25
 
2.4%
진료대기실 23
 
2.2%
Other values (264) 437
42.7%
2024-03-14T08:53:47.499984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 406
 
10.0%
359
 
8.9%
진 218
 
5.4%
료 204
 
5.0%
내 163
 
4.0%
소 134
 
3.3%
구 134
 
3.3%
층 127
 
3.1%
기 127
 
3.1%
대 126
 
3.1%
Other values (227) 2045
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3515
86.9%
Space Separator 359
 
8.9%
Decimal Number 142
 
3.5%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 406
 
11.6%
진 218
 
6.2%
료 204
 
5.8%
내 163
 
4.6%
소 134
 
3.8%
구 134
 
3.8%
층 127
 
3.6%
기 127
 
3.6%
대 126
 
3.6%
급 100
 
2.8%
Other values (215) 1776
50.5%
Decimal Number
ValueCountFrequency (%)
1 124
87.3%
2 9
 
6.3%
5 4
 
2.8%
0 1
 
0.7%
7 1
 
0.7%
6 1
 
0.7%
3 1
 
0.7%
4 1
 
0.7%
Space Separator
ValueCountFrequency (%)
359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3515
86.9%
Common 528
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 406
 
11.6%
진 218
 
6.2%
료 204
 
5.8%
내 163
 
4.6%
소 134
 
3.8%
구 134
 
3.8%
층 127
 
3.6%
기 127
 
3.6%
대 126
 
3.6%
급 100
 
2.8%
Other values (215) 1776
50.5%
Common
ValueCountFrequency (%)
359
68.0%
1 124
 
23.5%
) 11
 
2.1%
( 11
 
2.1%
2 9
 
1.7%
- 5
 
0.9%
5 4
 
0.8%
0 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3515
86.9%
ASCII 528
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 406
 
11.6%
진 218
 
6.2%
료 204
 
5.8%
내 163
 
4.6%
소 134
 
3.8%
구 134
 
3.8%
층 127
 
3.6%
기 127
 
3.6%
대 126
 
3.6%
급 100
 
2.8%
Other values (215) 1776
50.5%
ASCII
ValueCountFrequency (%)
359
68.0%
1 124
 
23.5%
) 11
 
2.1%
( 11
 
2.1%
2 9
 
1.7%
- 5
 
0.9%
5 4
 
0.8%
0 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
Other values (2) 2
 
0.4%

설치방법
Categorical

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
이동형
278 
캐비넷방식 고정형
274 
장비부착고정형
95 
기타
 
14
<NA>
 
2

Length

Max length9
Median length7
Mean length6.0271084
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row캐비넷방식 고정형
2nd row캐비넷방식 고정형
3rd row캐비넷방식 고정형
4th row캐비넷방식 고정형
5th row장비부착고정형

Common Values

ValueCountFrequency (%)
이동형 278
41.9%
캐비넷방식 고정형 274
41.3%
장비부착고정형 95
 
14.3%
기타 14
 
2.1%
<NA> 2
 
0.3%
- 1
 
0.2%

Length

2024-03-14T08:53:47.627657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:53:47.743354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이동형 278
29.6%
캐비넷방식 274
29.2%
고정형 274
29.2%
장비부착고정형 95
 
10.1%
기타 14
 
1.5%
na 2
 
0.2%
1
 
0.1%

관할보건소
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
정읍시보건소
69 
익산시보건소
64 
전주시보건소
64 
남원시보건소
61 
김제시보건소
59 
Other values (9)
347 

Length

Max length8
Median length6
Mean length6.376506
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정읍시보건소 69
10.4%
익산시보건소 64
9.6%
전주시보건소 64
9.6%
남원시보건소 61
9.2%
김제시보건소 59
8.9%
군산시보건소 58
8.7%
완주군보건소 47
 
7.1%
고창군보건소 44
 
6.6%
부안군보건소 40
 
6.0%
임실군보건의료원 39
 
5.9%
Other values (4) 119
17.9%

Length

2024-03-14T08:53:47.843783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정읍시보건소 69
10.4%
익산시보건소 64
9.6%
전주시보건소 64
9.6%
남원시보건소 61
9.2%
김제시보건소 59
8.9%
군산시보건소 58
8.7%
완주군보건소 47
 
7.1%
고창군보건소 44
 
6.6%
부안군보건소 40
 
6.0%
임실군보건의료원 39
 
5.9%
Other values (4) 119
17.9%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
보건의료과
664 

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 664
100.0%

Length

2024-03-14T08:53:47.944847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:53:48.051979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건의료과 664
100.0%

Interactions

2024-03-14T08:53:45.073634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:53:48.103624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO설치방법관할보건소
NO1.0000.6280.944
설치방법0.6281.0000.677
관할보건소0.9440.6771.000
2024-03-14T08:53:48.174472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치방법관할보건소
설치방법1.0000.432
관할보건소0.4321.000
2024-03-14T08:53:48.244459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO설치방법관할보건소
NO1.0000.3090.776
설치방법0.3091.0000.432
관할보건소0.7760.4321.000

Missing values

2024-03-14T08:53:45.176530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:53:45.276483image/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

NO설치기관명설치주소설치장소설치방법관할보건소자료출처
01고수면내창보건진료소전라북도 고창군 고수면 초내리 23-2현관캐비넷방식 고정형고창군보건소보건의료과
12고수면보건지소전라북도 고창군 고수면 황산리 269-4현관캐비넷방식 고정형고창군보건소보건의료과
23고창읍백양보건진료소전라북도 고창군 고창읍 덕산리 134-3현관캐비넷방식 고정형고창군보건소보건의료과
34고창읍덕정보건진료소전라북도 고창군 고창읍 덕정리 76-1현관캐비넷방식 고정형고창군보건소보건의료과
45고창군공설운동장전라북도 고창군 고창읍 월암리 316실내수영장장비부착고정형고창군보건소보건의료과
56고창군공설운동장전라북도 고창군 고창읍 월암리 316공설운동장캐비넷방식 고정형고창군보건소보건의료과
67고창군보건소전라북도 고창군 고창읍 율계리 101구급차이동형고창군보건소보건의료과
78고창군보건소전라북도 고창군 고창읍 율계리 101중앙현관 복도캐비넷방식 고정형고창군보건소보건의료과
89고창소방서(고창119안전센터)전라북도 고창군 고창읍 읍내리 1055구급차이동형고창군보건소보건의료과
910고창소방서(고창119안전센터)전라북도 고창군 고창읍 읍내리 1055구급차내이동형고창군보건소보건의료과
NO설치기관명설치주소설치장소설치방법관할보건소자료출처
654657주천면대불보건진료소전라북도 진안군 주천면 벌뜸길 9진료실캐비넷방식 고정형진안군보건소보건의료과
655658주천면무릉보건진료소전라북도 진안군 주천면 어자길 44진료실캐비넷방식 고정형진안군보건소보건의료과
656659무진장소방서전라북도 진안군 주천면 주양리 437-4구급차내이동형진안군보건소보건의료과
657660무진장소방서(진안119안전센터)전라북도 진안군 진안읍 군상리 246-1구급차내이동형진안군보건소보건의료과
658661노인전문요양병원전라북도 진안군 진안읍 마이산로 76접수대캐비넷방식 고정형진안군보건소보건의료과
659662홍삼스파전라북도 진안군 진안읍 외사양길 16-10접수대캐비넷방식 고정형진안군보건소보건의료과
660663진안군청전라북도 진안군 진안읍 중앙로 67군청 입구캐비넷방식 고정형진안군보건소보건의료과
661664문예체육회관전라북도 진안군 진안읍 진무로 1054-38사무실캐비넷방식 고정형진안군보건소보건의료과
662665진안군보건소전라북도 진안군 진안읍 진무로 1189진료실이동형진안군보건소보건의료과
663666진안군보건소전라북도 진안군 진안읍 진무로 1189보건소 환자 대기실-진안군보건소보건의료과