Overview

Dataset statistics

Number of variables10
Number of observations240
Missing cells136
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.1 KiB
Average record size in memory81.5 B

Variable types

Numeric1
Categorical3
Text5
DateTime1

Dataset

Description지역 주민들의 편리한 의료기관 이용과 건강을 증진하고자 광주광역시 동구에 위치한 각종 의료기관 정보(의료기관명, 의료기관종류, 의료기관 주소)를 제공하고자 합니다.
Author광주광역시 동구
URLhttps://www.data.go.kr/data/15010942/fileData.do

Alerts

업무상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
개인법인구분 is highly overall correlated with 의료기관종별High correlation
의료기관종별 is highly overall correlated with 개인법인구분High correlation
개인법인구분 is highly imbalanced (80.3%)Imbalance
의료기관우편번호(도로명) has 89 (37.1%) missing valuesMissing
의료기관팩스번호 has 45 (18.8%) missing valuesMissing
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:19:49.770477
Analysis finished2023-12-12 16:19:50.662281
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

Distinct214
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.316667
Minimum1
Maximum214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T01:19:50.739637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q134.75
median94.5
Q3154.25
95-th percentile202.05
Maximum214
Range213
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation65.423881
Coefficient of variation (CV)0.67227828
Kurtosis-1.2897789
Mean97.316667
Median Absolute Deviation (MAD)60
Skewness0.14310834
Sum23356
Variance4280.2842
MonotonicityNot monotonic
2023-12-13T01:19:50.869463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
0.8%
15 2
 
0.8%
2 2
 
0.8%
26 2
 
0.8%
24 2
 
0.8%
23 2
 
0.8%
22 2
 
0.8%
21 2
 
0.8%
20 2
 
0.8%
19 2
 
0.8%
Other values (204) 220
91.7%
ValueCountFrequency (%)
1 2
0.8%
2 2
0.8%
3 2
0.8%
4 2
0.8%
5 2
0.8%
6 2
0.8%
7 2
0.8%
8 2
0.8%
9 2
0.8%
10 2
0.8%
ValueCountFrequency (%)
214 1
0.4%
213 1
0.4%
212 1
0.4%
211 1
0.4%
210 1
0.4%
209 1
0.4%
208 1
0.4%
207 1
0.4%
206 1
0.4%
205 1
0.4%

개인법인구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
개인
229 
<NA>
 
7
법인
 
4

Length

Max length4
Median length2
Mean length2.0583333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 229
95.4%
<NA> 7
 
2.9%
법인 4
 
1.7%

Length

2023-12-13T01:19:51.001595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:51.107604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 229
95.4%
na 7
 
2.9%
법인 4
 
1.7%

의료기관명
Text

UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T01:19:51.317188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.2416667
Min length3

Characters and Unicode

Total characters1738
Distinct characters236
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)100.0%

Sample

1st row재성한방병원
2nd row소명한방병원
3rd row계림병원
4th row차병원
5th row대중병원
ValueCountFrequency (%)
재성한방병원 1
 
0.4%
조진우치과의원 1
 
0.4%
류봉수성형외과의원 1
 
0.4%
강한의원 1
 
0.4%
푸른안과의원 1
 
0.4%
김용주내과의원 1
 
0.4%
광주신경과의원 1
 
0.4%
자모스프링여성의원 1
 
0.4%
그린가정의학과의원 1
 
0.4%
강남비뇨기과의원 1
 
0.4%
Other values (236) 236
95.9%
2023-12-13T01:19:51.712381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 244
 
14.0%
의 234
 
13.5%
과 159
 
9.1%
치 64
 
3.7%
한 49
 
2.8%
병 28
 
1.6%
이 28
 
1.6%
인 27
 
1.6%
학 21
 
1.2%
정 20
 
1.2%
Other values (226) 864
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1721
99.0%
Space Separator 6
 
0.3%
Uppercase Letter 5
 
0.3%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 244
 
14.2%
의 234
 
13.6%
과 159
 
9.2%
치 64
 
3.7%
한 49
 
2.8%
병 28
 
1.6%
이 28
 
1.6%
인 27
 
1.6%
학 21
 
1.2%
정 20
 
1.2%
Other values (219) 847
49.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
60.0%
W 1
 
20.0%
U 1
 
20.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1721
99.0%
Common 12
 
0.7%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 244
 
14.2%
의 234
 
13.6%
과 159
 
9.2%
치 64
 
3.7%
한 49
 
2.8%
병 28
 
1.6%
이 28
 
1.6%
인 27
 
1.6%
학 21
 
1.2%
정 20
 
1.2%
Other values (219) 847
49.2%
Common
ValueCountFrequency (%)
6
50.0%
) 2
 
16.7%
( 2
 
16.7%
. 2
 
16.7%
Latin
ValueCountFrequency (%)
C 3
60.0%
W 1
 
20.0%
U 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1721
99.0%
ASCII 17
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 244
 
14.2%
의 234
 
13.6%
과 159
 
9.2%
치 64
 
3.7%
한 49
 
2.8%
병 28
 
1.6%
이 28
 
1.6%
인 27
 
1.6%
학 21
 
1.2%
정 20
 
1.2%
Other values (219) 847
49.2%
ASCII
ValueCountFrequency (%)
6
35.3%
C 3
17.6%
) 2
 
11.8%
( 2
 
11.8%
. 2
 
11.8%
W 1
 
5.9%
U 1
 
5.9%

의료기관종별
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
의원
121 
치과의원
60 
한의원
31 
한방병원
 
8
요양병원(일반요양병원)
 
8
Other values (5)
 
12

Length

Max length12
Median length2
Mean length3.0833333
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
의원 121
50.4%
치과의원 60
25.0%
한의원 31
 
12.9%
한방병원 8
 
3.3%
요양병원(일반요양병원) 8
 
3.3%
병원 5
 
2.1%
정신병원 3
 
1.2%
종합병원 2
 
0.8%
치과병원 1
 
0.4%
보건소 1
 
0.4%

Length

2023-12-13T01:19:51.850583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:51.974427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 121
50.4%
치과의원 60
25.0%
한의원 31
 
12.9%
한방병원 8
 
3.3%
요양병원(일반요양병원 8
 
3.3%
병원 5
 
2.1%
정신병원 3
 
1.2%
종합병원 2
 
0.8%
치과병원 1
 
0.4%
보건소 1
 
0.4%

의료기관우편번호(도로명)
Text

MISSING 

Distinct81
Distinct (%)53.6%
Missing89
Missing (%)37.1%
Memory size2.0 KiB
2023-12-13T01:19:52.234434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.8278146
Min length6

Characters and Unicode

Total characters1031
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)33.1%

Sample

1st row'61401
2nd row'61404
3rd row'61420
4th row'61422
5th row'61473
ValueCountFrequency (%)
501-848 7
 
4.6%
501-809 7
 
4.6%
501-822 6
 
4.0%
501-812 6
 
4.0%
501-811 5
 
3.3%
501-110 5
 
3.3%
501-840 4
 
2.6%
501-120 4
 
2.6%
501-090 4
 
2.6%
501-081 4
 
2.6%
Other values (71) 99
65.6%
2023-12-13T01:19:52.643064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 221
21.4%
0 215
20.9%
5 147
14.3%
- 125
12.1%
8 100
9.7%
2 60
 
5.8%
4 53
 
5.1%
6 36
 
3.5%
' 26
 
2.5%
9 21
 
2.0%
Other values (2) 27
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
85.4%
Dash Punctuation 125
 
12.1%
Other Punctuation 26
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 221
25.1%
0 215
24.4%
5 147
16.7%
8 100
11.4%
2 60
 
6.8%
4 53
 
6.0%
6 36
 
4.1%
9 21
 
2.4%
3 17
 
1.9%
7 10
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Other Punctuation
ValueCountFrequency (%)
' 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 221
21.4%
0 215
20.9%
5 147
14.3%
- 125
12.1%
8 100
9.7%
2 60
 
5.8%
4 53
 
5.1%
6 36
 
3.5%
' 26
 
2.5%
9 21
 
2.0%
Other values (2) 27
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 221
21.4%
0 215
20.9%
5 147
14.3%
- 125
12.1%
8 100
9.7%
2 60
 
5.8%
4 53
 
5.1%
6 36
 
3.5%
' 26
 
2.5%
9 21
 
2.0%
Other values (2) 27
 
2.6%

의료기관주소(도로명)
Text

Distinct230
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T01:19:52.950072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length25.683333
Min length19

Characters and Unicode

Total characters6164
Distinct characters141
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

Unique222 ?
Unique (%)92.5%

Sample

1st row광주광역시 동구 중앙로 339 (계림동)
2nd row광주광역시 동구 참판로 27, 거경빌딩 (계림동)
3rd row광주광역시 동구 중앙로 327 (계림동)
4th row광주광역시 동구 구성로 271 (계림동)
5th row광주광역시 동구 제봉로 187 (대인동)
ValueCountFrequency (%)
광주광역시 240
17.8%
동구 240
17.8%
학동 50
 
3.7%
2층 40
 
3.0%
남문로 39
 
2.9%
계림동 35
 
2.6%
제봉로 30
 
2.2%
산수동 29
 
2.2%
3층 25
 
1.9%
중앙로 23
 
1.7%
Other values (298) 597
44.3%
2023-12-13T01:19:53.366749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1110
18.0%
광 483
 
7.8%
동 476
 
7.7%
로 265
 
4.3%
구 252
 
4.1%
시 241
 
3.9%
주 241
 
3.9%
역 240
 
3.9%
( 240
 
3.9%
) 240
 
3.9%
Other values (131) 2376
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3424
55.5%
Space Separator 1110
 
18.0%
Decimal Number 953
 
15.5%
Open Punctuation 240
 
3.9%
Close Punctuation 240
 
3.9%
Other Punctuation 143
 
2.3%
Dash Punctuation 43
 
0.7%
Math Symbol 9
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 483
14.1%
동 476
13.9%
로 265
 
7.7%
구 252
 
7.4%
시 241
 
7.0%
주 241
 
7.0%
역 240
 
7.0%
층 111
 
3.2%
남 97
 
2.8%
문 56
 
1.6%
Other values (112) 962
28.1%
Decimal Number
ValueCountFrequency (%)
2 190
19.9%
1 151
15.8%
3 121
12.7%
4 100
10.5%
6 79
8.3%
7 72
 
7.6%
5 69
 
7.2%
8 67
 
7.0%
0 64
 
6.7%
9 40
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 137
95.8%
. 6
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
1110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3424
55.5%
Common 2738
44.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 483
14.1%
동 476
13.9%
로 265
 
7.7%
구 252
 
7.4%
시 241
 
7.0%
주 241
 
7.0%
역 240
 
7.0%
층 111
 
3.2%
남 97
 
2.8%
문 56
 
1.6%
Other values (112) 962
28.1%
Common
ValueCountFrequency (%)
1110
40.5%
( 240
 
8.8%
) 240
 
8.8%
2 190
 
6.9%
1 151
 
5.5%
, 137
 
5.0%
3 121
 
4.4%
4 100
 
3.7%
6 79
 
2.9%
7 72
 
2.6%
Other values (7) 298
 
10.9%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3424
55.5%
ASCII 2740
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1110
40.5%
( 240
 
8.8%
) 240
 
8.8%
2 190
 
6.9%
1 151
 
5.5%
, 137
 
5.0%
3 121
 
4.4%
4 100
 
3.6%
6 79
 
2.9%
7 72
 
2.6%
Other values (9) 300
 
10.9%
Hangul
ValueCountFrequency (%)
광 483
14.1%
동 476
13.9%
로 265
 
7.7%
구 252
 
7.4%
시 241
 
7.0%
주 241
 
7.0%
역 240
 
7.0%
층 111
 
3.2%
남 97
 
2.8%
문 56
 
1.6%
Other values (112) 962
28.1%

의료기관전화번호
Text

Distinct238
Distinct (%)100.0%
Missing2
Missing (%)0.8%
Memory size2.0 KiB
2023-12-13T01:19:53.630082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2856
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)100.0%

Sample

1st row062-514-7500
2nd row062-525-0600
3rd row062-222-0007
4th row062-222-0202
5th row062-266-8080
ValueCountFrequency (%)
062-716-8021 1
 
0.4%
062-514-7500 1
 
0.4%
062-233-2875 1
 
0.4%
062-261-8275 1
 
0.4%
062-234-1144 1
 
0.4%
062-225-7161 1
 
0.4%
062-227-9696 1
 
0.4%
062-227-0023 1
 
0.4%
062-233-2575 1
 
0.4%
062-233-6060 1
 
0.4%
Other values (229) 229
95.8%
2023-12-13T01:19:54.002990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 756
26.5%
- 475
16.6%
0 426
14.9%
6 340
11.9%
5 172
 
6.0%
7 168
 
5.9%
3 163
 
5.7%
8 127
 
4.4%
1 106
 
3.7%
9 63
 
2.2%
Other values (2) 60
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
83.3%
Dash Punctuation 475
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 756
31.8%
0 426
17.9%
6 340
14.3%
5 172
 
7.2%
7 168
 
7.1%
3 163
 
6.8%
8 127
 
5.3%
1 106
 
4.5%
9 63
 
2.6%
4 59
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 475
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2856
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 756
26.5%
- 475
16.6%
0 426
14.9%
6 340
11.9%
5 172
 
6.0%
7 168
 
5.9%
3 163
 
5.7%
8 127
 
4.4%
1 106
 
3.7%
9 63
 
2.2%
Other values (2) 60
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 756
26.5%
- 475
16.6%
0 426
14.9%
6 340
11.9%
5 172
 
6.0%
7 168
 
5.9%
3 163
 
5.7%
8 127
 
4.4%
1 106
 
3.7%
9 63
 
2.2%
Other values (2) 60
 
2.1%

의료기관팩스번호
Text

MISSING 

Distinct190
Distinct (%)97.4%
Missing45
Missing (%)18.8%
Memory size2.0 KiB
2023-12-13T01:19:54.244490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.887179
Min length6

Characters and Unicode

Total characters2318
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)94.9%

Sample

1st row062-525-2200
2nd row062-232-7575
3rd row062-222-0208
4th row062-265-9994
5th row062-226-0631
ValueCountFrequency (%)
062-228-9308 2
 
1.0%
062-221-7582 2
 
1.0%
062-227-9311 2
 
1.0%
062-225-3799 2
 
1.0%
062-221-5820 2
 
1.0%
062-220-8575 1
 
0.5%
062-225-9846 1
 
0.5%
062-512-3722 1
 
0.5%
062-225-0612 1
 
0.5%
062-226-8831 1
 
0.5%
Other values (181) 181
92.3%
2023-12-13T01:19:54.642013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 605
26.1%
- 384
16.6%
0 302
13.0%
6 293
12.6%
5 140
 
6.0%
3 129
 
5.6%
7 126
 
5.4%
8 112
 
4.8%
1 94
 
4.1%
4 73
 
3.1%
Other values (2) 60
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1933
83.4%
Dash Punctuation 384
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 605
31.3%
0 302
15.6%
6 293
15.2%
5 140
 
7.2%
3 129
 
6.7%
7 126
 
6.5%
8 112
 
5.8%
1 94
 
4.9%
4 73
 
3.8%
9 59
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 384
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 605
26.1%
- 384
16.6%
0 302
13.0%
6 293
12.6%
5 140
 
6.0%
3 129
 
5.6%
7 126
 
5.4%
8 112
 
4.8%
1 94
 
4.1%
4 73
 
3.1%
Other values (2) 60
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 605
26.1%
- 384
16.6%
0 302
13.0%
6 293
12.6%
5 140
 
6.0%
3 129
 
5.6%
7 126
 
5.4%
8 112
 
4.8%
1 94
 
4.1%
4 73
 
3.1%
Other values (2) 60
 
2.6%

업무상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업중
240 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 240
100.0%

Length

2023-12-13T01:19:54.789294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:54.900319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 240
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2023-09-18 00:00:00
Maximum2023-09-18 00:00:00
2023-12-13T01:19:54.985406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:55.099716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:19:50.199874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:19:55.156650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번개인법인구분의료기관종별의료기관우편번호(도로명)
순번1.0000.0850.5610.786
개인법인구분0.0851.0000.9180.941
의료기관종별0.5610.9181.0000.955
의료기관우편번호(도로명)0.7860.9410.9551.000
2023-12-13T01:19:55.233021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별개인법인구분
의료기관종별1.0000.742
개인법인구분0.7421.000
2023-12-13T01:19:55.302520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번개인법인구분의료기관종별
순번1.0000.0630.202
개인법인구분0.0631.0000.742
의료기관종별0.2020.7421.000

Missing values

2023-12-13T01:19:50.318887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:19:50.479097image/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.
2023-12-13T01:19:50.590710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번개인법인구분의료기관명의료기관종별의료기관우편번호(도로명)의료기관주소(도로명)의료기관전화번호의료기관팩스번호업무상태데이터기준일자
01개인재성한방병원한방병원'61401광주광역시 동구 중앙로 339 (계림동)062-514-7500<NA>영업중2023-09-18
12개인소명한방병원한방병원'61404광주광역시 동구 참판로 27, 거경빌딩 (계림동)062-525-0600062-525-2200영업중2023-09-18
23개인계림병원병원'61420광주광역시 동구 중앙로 327 (계림동)062-222-0007062-232-7575영업중2023-09-18
34개인차병원병원'61422광주광역시 동구 구성로 271 (계림동)062-222-0202062-222-0208영업중2023-09-18
45개인대중병원병원'61473광주광역시 동구 제봉로 187 (대인동)062-266-8080062-265-9994영업중2023-09-18
56개인씨엠맘삼성병원병원'61464광주광역시 동구 남문로 689, 해피뷰삼성메디타워 지하1층,지상2~6층 (학동)062-226-0600062-226-0631영업중2023-09-18
67개인두암한방병원한방병원'61409광주광역시 동구 갈마로 46 (산수동)062-716-7160062-716-7169영업중2023-09-18
78개인더조은한방병원한방병원'61432광주광역시 동구 동명로 55 (동명동)062-467-7007062-467-7008영업중2023-09-18
89개인호남한방병원한방병원'61484광주광역시 동구 천변우로 393-3, 2,3,4층 (호남동)062-383-3777<NA>영업중2023-09-18
910개인오아시스요양병원요양병원(일반요양병원)'61513광주광역시 동구 남계길 17, 지하1층, 1~4층 (내남동)062-250-2000062-250-2001영업중2023-09-18
순번개인법인구분의료기관명의료기관종별의료기관우편번호(도로명)의료기관주소(도로명)의료기관전화번호의료기관팩스번호업무상태데이터기준일자
230205개인로머스치과의원치과의원<NA>광주광역시 동구 금남로 202, 3층 303호 (금남로4가, 로머스파크)062-222-2877062-224-4545영업중2023-09-18
231206개인오비뇨기과의원의원501-110광주광역시 동구 중앙로 164 (황금동)062-222-5888062-227-0500영업중2023-09-18
232207개인최춘산부인과의원의원501-848광주광역시 동구 남문로 698, 3층 (학동)062-228-5656062-228-5657영업중2023-09-18
233208개인조이비인후과의원의원501-014광주광역시 동구 충장로 60, 2층 (충장로4가)062-222-6961062-221-7582영업중2023-09-18
234209개인박종수치과의원치과의원501-110광주광역시 동구 중앙로 162 (황금동)062-222-2680062-222-2680영업중2023-09-18
235210개인이진희산부인과의원의원501-811광주광역시 동구 구성로204번길 5 (대인동)062-223-0430062-234-4722영업중2023-09-18
236211개인김신경외과의원의원<NA>광주광역시 동구 구성로 183-4, 1층 (금남로5가)062-228-2471062-228-2473영업중2023-09-18
237212개인진내과의원의원501-021광주광역시 동구 금남로 250-8 (금남로1가)062-222-3000062-222-5440영업중2023-09-18
238213개인강치과의원치과의원501-809광주광역시 동구 제봉로 52 (남동)062-222-8720062-232-2833영업중2023-09-18
239214개인광주의원의원<NA>광주광역시 동구 양림로119번길 20, 2층 (학동)062-225-0781062-232-6765영업중2023-09-18