Overview

Dataset statistics

Number of variables5
Number of observations326
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description전남 여수시 관내 의료기관 현황으로 종합병원, 병원, 요양병원, 의원, 치과의원, 한의원의 의료기관명, 소재지, 전화번호 항목을 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/3073443/fileData.do

Alerts

순번 is highly overall correlated with 의료기관종별High correlation
의료기관종별 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 08:59:47.990501
Analysis finished2024-03-14 08:59:49.228878
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.5
Minimum1
Maximum326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-14T17:59:49.450449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.25
Q182.25
median163.5
Q3244.75
95-th percentile309.75
Maximum326
Range325
Interquartile range (IQR)162.5

Descriptive statistics

Standard deviation94.252321
Coefficient of variation (CV)0.57646679
Kurtosis-1.2
Mean163.5
Median Absolute Deviation (MAD)81.5
Skewness0
Sum53301
Variance8883.5
MonotonicityStrictly increasing
2024-03-14T17:59:49.924274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
Other values (316) 316
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%

의료기관종별
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
의원
161 
치과의원
85 
한의원
54 
요양병원
 
10
병원
 
7
Other values (3)
 
9

Length

Max length4
Median length2
Mean length2.803681
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합병원
2nd row종합병원
3rd row종합병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
의원 161
49.4%
치과의원 85
26.1%
한의원 54
 
16.6%
요양병원 10
 
3.1%
병원 7
 
2.1%
한방병원 4
 
1.2%
종합병원 3
 
0.9%
치과병원 2
 
0.6%

Length

2024-03-14T17:59:50.409471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:59:50.770657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 161
49.4%
치과의원 85
26.1%
한의원 54
 
16.6%
요양병원 10
 
3.1%
병원 7
 
2.1%
한방병원 4
 
1.2%
종합병원 3
 
0.9%
치과병원 2
 
0.6%

의료기관명
Text

UNIQUE 

Distinct326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-14T17:59:51.607292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.1196319
Min length3

Characters and Unicode

Total characters2321
Distinct characters261
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)100.0%

Sample

1st row여천전남병원
2nd row의료법인한마음의료재단여수제일병원
3rd row여수전남병원
4th row여수중앙병원
5th row예울병원
ValueCountFrequency (%)
의료법인 3
 
0.9%
여천전남병원 1
 
0.3%
친구들치과의원 1
 
0.3%
꼬마이치과의원 1
 
0.3%
여도치과의원 1
 
0.3%
확실한강치과의원 1
 
0.3%
보스턴치과의원 1
 
0.3%
알파치과의원 1
 
0.3%
하얀나무치과의원 1
 
0.3%
수치과의원 1
 
0.3%
Other values (322) 322
96.4%
2024-03-14T17:59:52.900622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 332
 
14.3%
의 324
 
14.0%
과 194
 
8.4%
치 89
 
3.8%
한 76
 
3.3%
수 47
 
2.0%
여 46
 
2.0%
이 38
 
1.6%
연 33
 
1.4%
합 29
 
1.2%
Other values (251) 1113
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2296
98.9%
Decimal Number 15
 
0.6%
Space Separator 8
 
0.3%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 332
 
14.5%
의 324
 
14.1%
과 194
 
8.4%
치 89
 
3.9%
한 76
 
3.3%
수 47
 
2.0%
여 46
 
2.0%
이 38
 
1.7%
연 33
 
1.4%
합 29
 
1.3%
Other values (241) 1088
47.4%
Decimal Number
ValueCountFrequency (%)
3 3
20.0%
6 3
20.0%
5 3
20.0%
2 2
13.3%
1 2
13.3%
9 1
 
6.7%
7 1
 
6.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2296
98.9%
Common 24
 
1.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 332
 
14.5%
의 324
 
14.1%
과 194
 
8.4%
치 89
 
3.9%
한 76
 
3.3%
수 47
 
2.0%
여 46
 
2.0%
이 38
 
1.7%
연 33
 
1.4%
합 29
 
1.3%
Other values (241) 1088
47.4%
Common
ValueCountFrequency (%)
8
33.3%
3 3
 
12.5%
6 3
 
12.5%
5 3
 
12.5%
2 2
 
8.3%
1 2
 
8.3%
- 1
 
4.2%
9 1
 
4.2%
7 1
 
4.2%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2296
98.9%
ASCII 25
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 332
 
14.5%
의 324
 
14.1%
과 194
 
8.4%
치 89
 
3.9%
한 76
 
3.3%
수 47
 
2.0%
여 46
 
2.0%
이 38
 
1.7%
연 33
 
1.4%
합 29
 
1.3%
Other values (241) 1088
47.4%
ASCII
ValueCountFrequency (%)
8
32.0%
3 3
 
12.0%
6 3
 
12.0%
5 3
 
12.0%
2 2
 
8.0%
1 2
 
8.0%
e 1
 
4.0%
- 1
 
4.0%
9 1
 
4.0%
7 1
 
4.0%

의료기관주소(도로명)
Text

Distinct309
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-14T17:59:53.848247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length24.490798
Min length18

Characters and Unicode

Total characters7984
Distinct characters160
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

Unique296 ?
Unique (%)90.8%

Sample

1st row전라남도 여수시 무선로 95 (선원동)
2nd row전라남도 여수시 쌍봉로 70 (학동)
3rd row전라남도 여수시 좌수영로 49 (광무동, 전남병원)
4th row전라남도 여수시 둔덕2길 6-3 (미평동)
5th row전라남도 여수시 신월로 114, 2~6층 (웅천동)
ValueCountFrequency (%)
전라남도 326
 
17.8%
여수시 326
 
17.8%
학동 73
 
4.0%
2층 60
 
3.3%
여서동 52
 
2.8%
서교동 29
 
1.6%
여서1로 25
 
1.4%
시청로 24
 
1.3%
신월로 23
 
1.3%
중앙로 23
 
1.3%
Other values (319) 870
47.5%
2024-03-14T17:59:55.228296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1505
18.9%
여 433
 
5.4%
수 374
 
4.7%
시 352
 
4.4%
남 343
 
4.3%
라 339
 
4.2%
도 330
 
4.1%
전 328
 
4.1%
동 327
 
4.1%
( 305
 
3.8%
Other values (150) 3348
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4562
57.1%
Space Separator 1505
 
18.9%
Decimal Number 1039
 
13.0%
Open Punctuation 305
 
3.8%
Close Punctuation 305
 
3.8%
Other Punctuation 206
 
2.6%
Dash Punctuation 58
 
0.7%
Math Symbol 3
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 433
 
9.5%
수 374
 
8.2%
시 352
 
7.7%
남 343
 
7.5%
라 339
 
7.4%
도 330
 
7.2%
전 328
 
7.2%
동 327
 
7.2%
로 287
 
6.3%
층 141
 
3.1%
Other values (133) 1308
28.7%
Decimal Number
ValueCountFrequency (%)
1 215
20.7%
2 181
17.4%
3 127
12.2%
6 109
10.5%
4 107
10.3%
5 86
 
8.3%
7 63
 
6.1%
0 60
 
5.8%
8 49
 
4.7%
9 42
 
4.0%
Space Separator
ValueCountFrequency (%)
1505
100.0%
Open Punctuation
ValueCountFrequency (%)
( 305
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Other Punctuation
ValueCountFrequency (%)
, 206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4562
57.1%
Common 3421
42.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 433
 
9.5%
수 374
 
8.2%
시 352
 
7.7%
남 343
 
7.5%
라 339
 
7.4%
도 330
 
7.2%
전 328
 
7.2%
동 327
 
7.2%
로 287
 
6.3%
층 141
 
3.1%
Other values (133) 1308
28.7%
Common
ValueCountFrequency (%)
1505
44.0%
( 305
 
8.9%
) 305
 
8.9%
1 215
 
6.3%
, 206
 
6.0%
2 181
 
5.3%
3 127
 
3.7%
6 109
 
3.2%
4 107
 
3.1%
5 86
 
2.5%
Other values (6) 275
 
8.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4562
57.1%
ASCII 3422
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1505
44.0%
( 305
 
8.9%
) 305
 
8.9%
1 215
 
6.3%
, 206
 
6.0%
2 181
 
5.3%
3 127
 
3.7%
6 109
 
3.2%
4 107
 
3.1%
5 86
 
2.5%
Other values (7) 276
 
8.1%
Hangul
ValueCountFrequency (%)
여 433
 
9.5%
수 374
 
8.2%
시 352
 
7.7%
남 343
 
7.5%
라 339
 
7.4%
도 330
 
7.2%
전 328
 
7.2%
동 327
 
7.2%
로 287
 
6.3%
층 141
 
3.1%
Other values (133) 1308
28.7%

전화번호
Text

Distinct325
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-14T17:59:56.040663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.006135
Min length12

Characters and Unicode

Total characters3914
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

Unique324 ?
Unique (%)99.4%

Sample

1st row061-690-6900
2nd row061-689-8123
3rd row061-640-7575
4th row061-644-9000
5th row061-655-3535
ValueCountFrequency (%)
061-662-3003 2
 
0.6%
061-651-5350 1
 
0.3%
061-662-2212 1
 
0.3%
061-653-8545 1
 
0.3%
061-644-2875 1
 
0.3%
061-691-0175 1
 
0.3%
061-685-2275 1
 
0.3%
061-683-2275 1
 
0.3%
061-686-2075 1
 
0.3%
061-682-2275 1
 
0.3%
Other values (315) 315
96.6%
2024-03-14T17:59:57.151681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 787
20.1%
- 652
16.7%
0 578
14.8%
1 483
12.3%
5 309
 
7.9%
8 242
 
6.2%
2 237
 
6.1%
7 220
 
5.6%
4 159
 
4.1%
3 153
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3262
83.3%
Dash Punctuation 652
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 787
24.1%
0 578
17.7%
1 483
14.8%
5 309
 
9.5%
8 242
 
7.4%
2 237
 
7.3%
7 220
 
6.7%
4 159
 
4.9%
3 153
 
4.7%
9 94
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 652
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 787
20.1%
- 652
16.7%
0 578
14.8%
1 483
12.3%
5 309
 
7.9%
8 242
 
6.2%
2 237
 
6.1%
7 220
 
5.6%
4 159
 
4.1%
3 153
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 787
20.1%
- 652
16.7%
0 578
14.8%
1 483
12.3%
5 309
 
7.9%
8 242
 
6.2%
2 237
 
6.1%
7 220
 
5.6%
4 159
 
4.1%
3 153
 
3.9%

Interactions

2024-03-14T17:59:48.438484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:59:57.309563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.815
의료기관종별0.8151.000
2024-03-14T17:59:57.446439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.570
의료기관종별0.5701.000

Missing values

2024-03-14T17:59:48.770779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:59:49.098938image/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

순번의료기관종별의료기관명의료기관주소(도로명)전화번호
01종합병원여천전남병원전라남도 여수시 무선로 95 (선원동)061-690-6900
12종합병원의료법인한마음의료재단여수제일병원전라남도 여수시 쌍봉로 70 (학동)061-689-8123
23종합병원여수전남병원전라남도 여수시 좌수영로 49 (광무동, 전남병원)061-640-7575
34병원여수중앙병원전라남도 여수시 둔덕2길 6-3 (미평동)061-644-9000
45병원예울병원전라남도 여수시 신월로 114, 2~6층 (웅천동)061-655-3535
56병원씨에스나무병원전라남도 여수시 도원로 164-1 (안산동)061-662-1000
67병원여수한국병원전라남도 여수시 여천체육공원길 10 (신기동)061-689-9000
78병원여수백병원전라남도 여수시 여서1로 50, 여수백병원 (여서동)061-655-3000
89병원여수문화병원전라남도 여수시 대치3길 26 (여서동)061-650-5000
910병원사회복지법인여수애양병원전라남도 여수시 율촌면 구암길 319061-640-8855
순번의료기관종별의료기관명의료기관주소(도로명)전화번호
316317한의원감초당한의원전라남도 여수시 신월로 668 (국동)061-641-8172
317318한의원홍한의원전라남도 여수시 무선로 30 (학동)061-681-4312
318319한의원이상문경희한의원전라남도 여수시 성산로 5 (화장동)061-685-3415
319320한의원경희한의원전라남도 여수시 통제영3길 6 (교동)061-666-2500
320321한의원원광한의원전라남도 여수시 새터로 78-1, 1층 (신기동)061-684-1771
321322한의원지산한의원전라남도 여수시 서교3길 5-2 (서교동)061-641-1088
322323한의원장한의원전라남도 여수시 통제영4길 12-1 (중앙동)061-666-1001
323324한의원나한의원전라남도 여수시 쌍봉로 57 (학동)061-681-0549
324325한의원제세한의원전라남도 여수시 중앙로 48-1 (교동)061-666-1075
325326한의원오한의원전라남도 여수시 여서로 168 (여서동)061-654-6200