Overview

Dataset statistics

Number of variables13
Number of observations3673
Missing cells10580
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory376.8 KiB
Average record size in memory105.0 B

Variable types

Numeric1
Text9
Categorical3

Dataset

Description의료기관명, 종별, 병상수, 소재지, 개설주체(민간 또는 공공), 개설일자, 전화번호, 개설주체별 종류 등 경상남도 의료기관 현황에 관한 정보입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3076329

Alerts

일련번호 is highly overall correlated with 종별 and 1 other fieldsHigh correlation
종별 is highly overall correlated with 일련번호High correlation
민간국립공립 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
민간국립공립 is highly imbalanced (80.5%)Imbalance
비고 is highly imbalanced (86.0%)Imbalance
병상수(계) has 136 (3.7%) missing valuesMissing
일반 has 3199 (87.1%) missing valuesMissing
정신 has 3639 (99.1%) missing valuesMissing
요양 has 3589 (97.7%) missing valuesMissing
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:28:24.442644
Analysis finished2023-12-10 23:28:26.191573
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct3673
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1837
Minimum1
Maximum3673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-11T08:28:26.565421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile184.6
Q1919
median1837
Q32755
95-th percentile3489.4
Maximum3673
Range3672
Interquartile range (IQR)1836

Descriptive statistics

Standard deviation1060.4481
Coefficient of variation (CV)0.57727169
Kurtosis-1.2
Mean1837
Median Absolute Deviation (MAD)918
Skewness0
Sum6747301
Variance1124550.2
MonotonicityStrictly increasing
2023-12-11T08:28:26.758180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2441 1
 
< 0.1%
2443 1
 
< 0.1%
2444 1
 
< 0.1%
2445 1
 
< 0.1%
2446 1
 
< 0.1%
2447 1
 
< 0.1%
2448 1
 
< 0.1%
2449 1
 
< 0.1%
2450 1
 
< 0.1%
Other values (3663) 3663
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3673 1
< 0.1%
3672 1
< 0.1%
3671 1
< 0.1%
3670 1
< 0.1%
3669 1
< 0.1%
3668 1
< 0.1%
3667 1
< 0.1%
3666 1
< 0.1%
3665 1
< 0.1%
3664 1
< 0.1%

의료기관명
Text

Distinct3126
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size28.8 KiB
2023-12-11T08:28:27.062968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length7.2031037
Min length3

Characters and Unicode

Total characters26457
Distinct characters516
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2837 ?
Unique (%)77.2%

Sample

1st row창원경상대학교병원
2nd row의료법인 한마음국제의료재단 한마음창원병원
3rd row재단법인대구포교성베네딕도수녀회창원파티마병원
4th row근로복지공단 창원병원
5th row경상남도마산의료원
ValueCountFrequency (%)
의료법인 32
 
0.8%
의원 19
 
0.5%
경희한의원 12
 
0.3%
서울치과의원 9
 
0.2%
이사랑치과의원 8
 
0.2%
상아치과의원 8
 
0.2%
우리치과의원 8
 
0.2%
서울한의원 8
 
0.2%
우리한의원 7
 
0.2%
현대의원 7
 
0.2%
Other values (3226) 3747
96.9%
2023-12-11T08:28:27.479691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 3774
 
14.3%
의 3701
 
14.0%
과 2081
 
7.9%
한 1008
 
3.8%
치 930
 
3.5%
이 399
 
1.5%
인 371
 
1.4%
병 354
 
1.3%
정 310
 
1.2%
소 287
 
1.1%
Other values (506) 13242
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26090
98.6%
Space Separator 191
 
0.7%
Uppercase Letter 54
 
0.2%
Decimal Number 34
 
0.1%
Close Punctuation 19
 
0.1%
Open Punctuation 19
 
0.1%
Lowercase Letter 18
 
0.1%
Other Punctuation 14
 
0.1%
Control 12
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3774
 
14.5%
의 3701
 
14.2%
과 2081
 
8.0%
한 1008
 
3.9%
치 930
 
3.6%
이 399
 
1.5%
인 371
 
1.4%
병 354
 
1.4%
정 310
 
1.2%
소 287
 
1.1%
Other values (468) 12875
49.3%
Uppercase Letter
ValueCountFrequency (%)
C 12
22.2%
S 9
16.7%
L 5
9.3%
K 4
 
7.4%
H 4
 
7.4%
B 3
 
5.6%
A 3
 
5.6%
G 2
 
3.7%
M 2
 
3.7%
J 2
 
3.7%
Other values (7) 8
14.8%
Decimal Number
ValueCountFrequency (%)
3 7
20.6%
5 6
17.6%
6 6
17.6%
1 6
17.6%
2 6
17.6%
0 2
 
5.9%
9 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 12
66.7%
h 2
 
11.1%
t 2
 
11.1%
r 1
 
5.6%
m 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 7
50.0%
. 4
28.6%
, 3
21.4%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26093
98.6%
Common 292
 
1.1%
Latin 72
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3774
 
14.5%
의 3701
 
14.2%
과 2081
 
8.0%
한 1008
 
3.9%
치 930
 
3.6%
이 399
 
1.5%
인 371
 
1.4%
병 354
 
1.4%
정 310
 
1.2%
소 287
 
1.1%
Other values (469) 12878
49.4%
Latin
ValueCountFrequency (%)
C 12
16.7%
e 12
16.7%
S 9
12.5%
L 5
 
6.9%
K 4
 
5.6%
H 4
 
5.6%
B 3
 
4.2%
A 3
 
4.2%
G 2
 
2.8%
M 2
 
2.8%
Other values (12) 16
22.2%
Common
ValueCountFrequency (%)
191
65.4%
) 19
 
6.5%
( 19
 
6.5%
12
 
4.1%
& 7
 
2.4%
3 7
 
2.4%
5 6
 
2.1%
6 6
 
2.1%
1 6
 
2.1%
2 6
 
2.1%
Other values (5) 13
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26090
98.6%
ASCII 364
 
1.4%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 3774
 
14.5%
의 3701
 
14.2%
과 2081
 
8.0%
한 1008
 
3.9%
치 930
 
3.6%
이 399
 
1.5%
인 371
 
1.4%
병 354
 
1.4%
정 310
 
1.2%
소 287
 
1.1%
Other values (468) 12875
49.3%
ASCII
ValueCountFrequency (%)
191
52.5%
) 19
 
5.2%
( 19
 
5.2%
C 12
 
3.3%
12
 
3.3%
e 12
 
3.3%
S 9
 
2.5%
& 7
 
1.9%
3 7
 
1.9%
5 6
 
1.6%
Other values (27) 70
 
19.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

종별
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size28.8 KiB
의원
1641 
치과의원
883 
한의원
789 
병원
 
138
일반요양병원
 
68
Other values (12)
 
154

Length

Max length10
Median length6
Mean length2.8546148
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 1641
44.7%
치과의원 883
24.0%
한의원 789
21.5%
병원 138
 
3.8%
일반요양병원 68
 
1.9%
요양병원 55
 
1.5%
종합병원 26
 
0.7%
치과병원 20
 
0.5%
정신병원 15
 
0.4%
부속의원 10
 
0.3%
Other values (7) 28
 
0.8%

Length

2023-12-11T08:28:27.681549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 1641
44.7%
치과의원 883
24.0%
한의원 789
21.5%
병원 138
 
3.8%
일반요양병원 68
 
1.9%
요양병원 55
 
1.5%
종합병원 26
 
0.7%
치과병원 20
 
0.5%
정신병원 15
 
0.4%
부속의원 10
 
0.3%
Other values (7) 28
 
0.8%

병상수(계)
Text

MISSING 

Distinct218
Distinct (%)6.2%
Missing136
Missing (%)3.7%
Memory size28.8 KiB
2023-12-11T08:28:28.084275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.870229
Min length1

Characters and Unicode

Total characters10152
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

Unique133 ?
Unique (%)3.8%

Sample

1st row586
2nd row377
3rd row441
4th row262
5th row290
ValueCountFrequency (%)
2974
84.2%
29 46
 
1.3%
1 34
 
1.0%
2 23
 
0.7%
199 15
 
0.4%
299 15
 
0.4%
3 14
 
0.4%
9 12
 
0.3%
4 10
 
0.3%
10 9
 
0.3%
Other values (207) 382
 
10.8%
2023-12-11T08:28:28.610592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5957
58.7%
- 2974
29.3%
2 244
 
2.4%
1 225
 
2.2%
9 181
 
1.8%
0 103
 
1.0%
4 96
 
0.9%
6 84
 
0.8%
8 80
 
0.8%
5 78
 
0.8%
Other values (2) 130
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Space Separator 5957
58.7%
Dash Punctuation 2974
29.3%
Decimal Number 1221
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 244
20.0%
1 225
18.4%
9 181
14.8%
0 103
8.4%
4 96
 
7.9%
6 84
 
6.9%
8 80
 
6.6%
5 78
 
6.4%
3 76
 
6.2%
7 54
 
4.4%
Space Separator
ValueCountFrequency (%)
5957
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5957
58.7%
- 2974
29.3%
2 244
 
2.4%
1 225
 
2.2%
9 181
 
1.8%
0 103
 
1.0%
4 96
 
0.9%
6 84
 
0.8%
8 80
 
0.8%
5 78
 
0.8%
Other values (2) 130
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5957
58.7%
- 2974
29.3%
2 244
 
2.4%
1 225
 
2.2%
9 181
 
1.8%
0 103
 
1.0%
4 96
 
0.9%
6 84
 
0.8%
8 80
 
0.8%
5 78
 
0.8%
Other values (2) 130
 
1.3%

일반
Text

MISSING 

Distinct175
Distinct (%)36.9%
Missing3199
Missing (%)87.1%
Memory size28.8 KiB
2023-12-11T08:28:28.976061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.021097
Min length1

Characters and Unicode

Total characters958
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

Unique101 ?
Unique (%)21.3%

Sample

1st row586
2nd row377
3rd row441
4th row262
5th row290
ValueCountFrequency (%)
29 46
 
9.8%
1 33
 
7.1%
2 23
 
4.9%
3 14
 
3.0%
9 12
 
2.6%
4 10
 
2.1%
10 9
 
1.9%
8 8
 
1.7%
20 8
 
1.7%
24 8
 
1.7%
Other values (164) 297
63.5%
2023-12-11T08:28:29.625866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 199
20.8%
1 169
17.6%
9 115
12.0%
4 76
 
7.9%
0 76
 
7.9%
6 69
 
7.2%
5 67
 
7.0%
3 62
 
6.5%
8 61
 
6.4%
7 46
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 940
98.1%
Space Separator 18
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 199
21.2%
1 169
18.0%
9 115
12.2%
4 76
 
8.1%
0 76
 
8.1%
6 69
 
7.3%
5 67
 
7.1%
3 62
 
6.6%
8 61
 
6.5%
7 46
 
4.9%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 199
20.8%
1 169
17.6%
9 115
12.0%
4 76
 
7.9%
0 76
 
7.9%
6 69
 
7.2%
5 67
 
7.0%
3 62
 
6.5%
8 61
 
6.4%
7 46
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 199
20.8%
1 169
17.6%
9 115
12.0%
4 76
 
7.9%
0 76
 
7.9%
6 69
 
7.2%
5 67
 
7.0%
3 62
 
6.5%
8 61
 
6.4%
7 46
 
4.8%

정신
Text

MISSING 

Distinct29
Distinct (%)85.3%
Missing3639
Missing (%)99.1%
Memory size28.8 KiB
2023-12-11T08:28:29.837375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.8235294
Min length2

Characters and Unicode

Total characters96
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

Unique27 ?
Unique (%)79.4%

Sample

1st row24
2nd row33
3rd row114
4th row165
5th row203
ValueCountFrequency (%)
299 5
 
14.7%
2
 
5.9%
192 1
 
2.9%
759 1
 
2.9%
54 1
 
2.9%
30 1
 
2.9%
60 1
 
2.9%
248 1
 
2.9%
120 1
 
2.9%
420 1
 
2.9%
Other values (19) 19
55.9%
2023-12-11T08:28:30.196738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 17
17.7%
9 13
13.5%
0 10
10.4%
1 9
9.4%
4 9
9.4%
8 8
8.3%
3 8
8.3%
6 6
 
6.2%
5 6
 
6.2%
4
 
4.2%
Other values (2) 6
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
93.8%
Space Separator 4
 
4.2%
Dash Punctuation 2
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 17
18.9%
9 13
14.4%
0 10
11.1%
1 9
10.0%
4 9
10.0%
8 8
8.9%
3 8
8.9%
6 6
 
6.7%
5 6
 
6.7%
7 4
 
4.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 17
17.7%
9 13
13.5%
0 10
10.4%
1 9
9.4%
4 9
9.4%
8 8
8.3%
3 8
8.3%
6 6
 
6.2%
5 6
 
6.2%
4
 
4.2%
Other values (2) 6
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 17
17.7%
9 13
13.5%
0 10
10.4%
1 9
9.4%
4 9
9.4%
8 8
8.3%
3 8
8.3%
6 6
 
6.2%
5 6
 
6.2%
4
 
4.2%
Other values (2) 6
 
6.2%

요양
Text

MISSING 

Distinct63
Distinct (%)75.0%
Missing3589
Missing (%)97.7%
Memory size28.8 KiB
2023-12-11T08:28:30.470982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9047619
Min length2

Characters and Unicode

Total characters244
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

Unique49 ?
Unique (%)58.3%

Sample

1st row82
2nd row212
3rd row299
4th row180
5th row269
ValueCountFrequency (%)
199 8
 
9.5%
140 3
 
3.6%
166 2
 
2.4%
149 2
 
2.4%
196 2
 
2.4%
289 2
 
2.4%
172 2
 
2.4%
239 2
 
2.4%
180 2
 
2.4%
141 2
 
2.4%
Other values (53) 57
67.9%
2023-12-11T08:28:30.903347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 56
23.0%
9 41
16.8%
2 34
13.9%
8 21
 
8.6%
0 18
 
7.4%
4 17
 
7.0%
6 15
 
6.1%
3 14
 
5.7%
5 13
 
5.3%
7 9
 
3.7%
Other values (2) 6
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 238
97.5%
Space Separator 4
 
1.6%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 56
23.5%
9 41
17.2%
2 34
14.3%
8 21
 
8.8%
0 18
 
7.6%
4 17
 
7.1%
6 15
 
6.3%
3 14
 
5.9%
5 13
 
5.5%
7 9
 
3.8%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 56
23.0%
9 41
16.8%
2 34
13.9%
8 21
 
8.6%
0 18
 
7.4%
4 17
 
7.0%
6 15
 
6.1%
3 14
 
5.7%
5 13
 
5.3%
7 9
 
3.7%
Other values (2) 6
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 56
23.0%
9 41
16.8%
2 34
13.9%
8 21
 
8.6%
0 18
 
7.4%
4 17
 
7.0%
6 15
 
6.1%
3 14
 
5.7%
5 13
 
5.3%
7 9
 
3.7%
Other values (2) 6
 
2.5%

소재지
Text

Distinct3367
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size28.8 KiB
2023-12-11T08:28:31.284947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length29.756874
Min length16

Characters and Unicode

Total characters109297
Distinct characters478
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3156 ?
Unique (%)85.9%

Sample

1st row경상남도 창원시 성산구 삼정자로 11 (성주동, 창원경상대학교병원)
2nd row경상남도 창원시 성산구 원이대로682번길 21 (상남동)
3rd row경상남도 창원시 의창구 창이대로 45 (명서동)
4th row경상남도 창원시 성산구 창원대로 721 (중앙동)
5th row경상남도 창원시 마산합포구 3·15대로 231 (중앙동3가)
ValueCountFrequency (%)
경상남도 3672
 
16.0%
창원시 1278
 
5.6%
김해시 527
 
2.3%
2층 461
 
2.0%
진주시 424
 
1.8%
양산시 373
 
1.6%
성산구 331
 
1.4%
의창구 255
 
1.1%
마산회원구 254
 
1.1%
마산합포구 242
 
1.1%
Other values (3496) 15170
66.0%
2023-12-11T08:28:31.839876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19340
 
17.7%
남 4249
 
3.9%
상 4178
 
3.8%
도 3774
 
3.5%
경 3766
 
3.4%
동 3336
 
3.1%
로 3335
 
3.1%
시 3293
 
3.0%
1 3086
 
2.8%
, 3002
 
2.7%
Other values (468) 57938
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64817
59.3%
Space Separator 19340
 
17.7%
Decimal Number 15497
 
14.2%
Other Punctuation 3161
 
2.9%
Close Punctuation 2882
 
2.6%
Open Punctuation 2882
 
2.6%
Dash Punctuation 524
 
0.5%
Uppercase Letter 156
 
0.1%
Lowercase Letter 36
 
< 0.1%
Control 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 4249
 
6.6%
상 4178
 
6.4%
도 3774
 
5.8%
경 3766
 
5.8%
동 3336
 
5.1%
로 3335
 
5.1%
시 3293
 
5.1%
원 2110
 
3.3%
창 1907
 
2.9%
산 1663
 
2.6%
Other values (410) 33206
51.2%
Uppercase Letter
ValueCountFrequency (%)
A 18
11.5%
B 17
10.9%
C 16
10.3%
N 13
 
8.3%
S 12
 
7.7%
K 11
 
7.1%
Y 10
 
6.4%
T 8
 
5.1%
L 7
 
4.5%
O 5
 
3.2%
Other values (14) 39
25.0%
Lowercase Letter
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
e 5
13.9%
p 2
 
5.6%
z 2
 
5.6%
r 2
 
5.6%
y 2
 
5.6%
o 2
 
5.6%
n 2
 
5.6%
s 1
 
2.8%
Other values (6) 6
16.7%
Decimal Number
ValueCountFrequency (%)
1 3086
19.9%
2 2563
16.5%
3 2028
13.1%
0 1517
9.8%
4 1452
9.4%
5 1277
8.2%
6 1004
 
6.5%
7 983
 
6.3%
8 897
 
5.8%
9 690
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 3002
95.0%
· 137
 
4.3%
. 22
 
0.7%
Space Separator
ValueCountFrequency (%)
19340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2882
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2882
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 524
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64817
59.3%
Common 44288
40.5%
Latin 192
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 4249
 
6.6%
상 4178
 
6.4%
도 3774
 
5.8%
경 3766
 
5.8%
동 3336
 
5.1%
로 3335
 
5.1%
시 3293
 
5.1%
원 2110
 
3.3%
창 1907
 
2.9%
산 1663
 
2.6%
Other values (410) 33206
51.2%
Latin
ValueCountFrequency (%)
A 18
 
9.4%
B 17
 
8.9%
C 16
 
8.3%
N 13
 
6.8%
S 12
 
6.2%
K 11
 
5.7%
Y 10
 
5.2%
T 8
 
4.2%
L 7
 
3.6%
a 6
 
3.1%
Other values (30) 74
38.5%
Common
ValueCountFrequency (%)
19340
43.7%
1 3086
 
7.0%
, 3002
 
6.8%
) 2882
 
6.5%
( 2882
 
6.5%
2 2563
 
5.8%
3 2028
 
4.6%
0 1517
 
3.4%
4 1452
 
3.3%
5 1277
 
2.9%
Other values (8) 4259
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64817
59.3%
ASCII 44343
40.6%
None 137
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19340
43.6%
1 3086
 
7.0%
, 3002
 
6.8%
) 2882
 
6.5%
( 2882
 
6.5%
2 2563
 
5.8%
3 2028
 
4.6%
0 1517
 
3.4%
4 1452
 
3.3%
5 1277
 
2.9%
Other values (47) 4314
 
9.7%
Hangul
ValueCountFrequency (%)
남 4249
 
6.6%
상 4178
 
6.4%
도 3774
 
5.8%
경 3766
 
5.8%
동 3336
 
5.1%
로 3335
 
5.1%
시 3293
 
5.1%
원 2110
 
3.3%
창 1907
 
2.9%
산 1663
 
2.6%
Other values (410) 33206
51.2%
None
ValueCountFrequency (%)
· 137
100.0%

개설자
Text

Distinct3311
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size28.8 KiB
2023-12-11T08:28:32.243569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.0457392
Min length2

Characters and Unicode

Total characters11187
Distinct characters279
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3037 ?
Unique (%)82.7%

Sample

1st row신희석
2nd row하충식
3rd row서준석
4th row심경우
5th row황수현
ValueCountFrequency (%)
이승훈 7
 
0.2%
외 7
 
0.2%
김 6
 
0.2%
김민수 6
 
0.2%
김현석 5
 
0.1%
1 5
 
0.1%
성 5
 
0.1%
김임숙 5
 
0.1%
법무부장관 5
 
0.1%
이상훈 5
 
0.1%
Other values (3330) 3690
98.5%
2023-12-11T08:28:32.972825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 797
 
7.1%
이 531
 
4.7%
정 399
 
3.6%
영 310
 
2.8%
박 290
 
2.6%
성 275
 
2.5%
진 256
 
2.3%
현 215
 
1.9%
수 210
 
1.9%
호 201
 
1.8%
Other values (269) 7703
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11062
98.9%
Space Separator 74
 
0.7%
Decimal Number 27
 
0.2%
Uppercase Letter 12
 
0.1%
Other Punctuation 4
 
< 0.1%
Control 3
 
< 0.1%
Other Symbol 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 797
 
7.2%
이 531
 
4.8%
정 399
 
3.6%
영 310
 
2.8%
박 290
 
2.6%
성 275
 
2.5%
진 256
 
2.3%
현 215
 
1.9%
수 210
 
1.9%
호 201
 
1.8%
Other values (244) 7578
68.5%
Uppercase Letter
ValueCountFrequency (%)
R 2
16.7%
G 2
16.7%
A 2
16.7%
O 1
8.3%
S 1
8.3%
M 1
8.3%
E 1
8.3%
T 1
8.3%
N 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 11
40.7%
2 7
25.9%
0 2
 
7.4%
3 2
 
7.4%
4 2
 
7.4%
9 1
 
3.7%
5 1
 
3.7%
7 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
? 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11065
98.9%
Common 110
 
1.0%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 797
 
7.2%
이 531
 
4.8%
정 399
 
3.6%
영 310
 
2.8%
박 290
 
2.6%
성 275
 
2.5%
진 256
 
2.3%
현 215
 
1.9%
수 210
 
1.9%
호 201
 
1.8%
Other values (245) 7581
68.5%
Common
ValueCountFrequency (%)
74
67.3%
1 11
 
10.0%
2 7
 
6.4%
3
 
2.7%
0 2
 
1.8%
. 2
 
1.8%
3 2
 
1.8%
4 2
 
1.8%
9 1
 
0.9%
5 1
 
0.9%
Other values (5) 5
 
4.5%
Latin
ValueCountFrequency (%)
R 2
16.7%
G 2
16.7%
A 2
16.7%
O 1
8.3%
S 1
8.3%
M 1
8.3%
E 1
8.3%
T 1
8.3%
N 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11062
98.9%
ASCII 122
 
1.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 797
 
7.2%
이 531
 
4.8%
정 399
 
3.6%
영 310
 
2.8%
박 290
 
2.6%
성 275
 
2.5%
진 256
 
2.3%
현 215
 
1.9%
수 210
 
1.9%
호 201
 
1.8%
Other values (244) 7578
68.5%
ASCII
ValueCountFrequency (%)
74
60.7%
1 11
 
9.0%
2 7
 
5.7%
3
 
2.5%
R 2
 
1.6%
G 2
 
1.6%
A 2
 
1.6%
0 2
 
1.6%
. 2
 
1.6%
3 2
 
1.6%
Other values (14) 15
 
12.3%
None
ValueCountFrequency (%)
㈜ 3
100.0%

민간국립공립
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size28.8 KiB
민간
3187 
개인
427 
민간
 
23
공공
 
11
국립
 
9
Other values (6)
 
16

Length

Max length9
Median length2
Mean length2.0108903
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row공립
2nd row민간
3rd row민간
4th row공립
5th row공공

Common Values

ValueCountFrequency (%)
민간 3187
86.8%
개인 427
 
11.6%
민간 23
 
0.6%
공공 11
 
0.3%
국립 9
 
0.2%
공립 7
 
0.2%
의료법인 3
 
0.1%
민간 3
 
0.1%
특수법인 (공공) 1
 
< 0.1%
공공 1
 
< 0.1%

Length

2023-12-11T08:28:33.132925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
민간 3213
87.5%
개인 427
 
11.6%
공공 13
 
0.4%
국립 9
 
0.2%
공립 7
 
0.2%
의료법인 3
 
0.1%
특수법인 1
 
< 0.1%
법인 1
 
< 0.1%

개설일자
Text

Distinct2822
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size28.8 KiB
2023-12-11T08:28:33.515701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9997277
Min length9

Characters and Unicode

Total characters36729
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

Unique2167 ?
Unique (%)59.0%

Sample

1st row2016-01-15
2nd row2002-04-01
3rd row1983-02-02
4th row1979-11-26
5th row1984-02-23
ValueCountFrequency (%)
2004-03-03 6
 
0.2%
2002-05-01 6
 
0.2%
2002-04-19 6
 
0.2%
1997-04-25 5
 
0.1%
2012-01-02 5
 
0.1%
2005-04-18 5
 
0.1%
2011-04-26 5
 
0.1%
2008-03-03 4
 
0.1%
2016-03-04 4
 
0.1%
2010-12-29 4
 
0.1%
Other values (2812) 3623
98.6%
2023-12-11T08:28:34.094396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8923
24.3%
- 7346
20.0%
1 5550
15.1%
2 5229
14.2%
9 2669
 
7.3%
8 1277
 
3.5%
3 1236
 
3.4%
4 1221
 
3.3%
5 1150
 
3.1%
6 1073
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29383
80.0%
Dash Punctuation 7346
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8923
30.4%
1 5550
18.9%
2 5229
17.8%
9 2669
 
9.1%
8 1277
 
4.3%
3 1236
 
4.2%
4 1221
 
4.2%
5 1150
 
3.9%
6 1073
 
3.7%
7 1055
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 7346
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36729
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8923
24.3%
- 7346
20.0%
1 5550
15.1%
2 5229
14.2%
9 2669
 
7.3%
8 1277
 
3.5%
3 1236
 
3.4%
4 1221
 
3.3%
5 1150
 
3.1%
6 1073
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36729
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8923
24.3%
- 7346
20.0%
1 5550
15.1%
2 5229
14.2%
9 2669
 
7.3%
8 1277
 
3.5%
3 1236
 
3.4%
4 1221
 
3.3%
5 1150
 
3.1%
6 1073
 
2.9%

전화번호
Text

Distinct3628
Distinct (%)99.2%
Missing17
Missing (%)0.5%
Memory size28.8 KiB
2023-12-11T08:28:34.446978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.997538
Min length8

Characters and Unicode

Total characters43863
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3606 ?
Unique (%)98.6%

Sample

1st row055-214-1106
2nd row055-267-2000
3rd row055-270-1000
4th row055-282-5111
5th row055-249-1000
ValueCountFrequency (%)
055-748-5555 6
 
0.2%
055-741-2181 4
 
0.1%
055-600-2000 2
 
0.1%
055-323-6524 2
 
0.1%
055-832-3311 2
 
0.1%
055-276-1075 2
 
0.1%
055-283-6700 2
 
0.1%
055-385-0772 2
 
0.1%
055-288-1075 2
 
0.1%
055-854-6000 2
 
0.1%
Other values (3619) 3631
99.3%
2023-12-11T08:28:34.904166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10569
24.1%
- 7303
16.6%
0 6057
13.8%
2 3737
 
8.5%
7 3100
 
7.1%
3 3065
 
7.0%
8 2708
 
6.2%
6 2083
 
4.7%
4 1943
 
4.4%
1 1890
 
4.3%
Other values (3) 1408
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36547
83.3%
Dash Punctuation 7303
 
16.6%
Space Separator 12
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10569
28.9%
0 6057
16.6%
2 3737
 
10.2%
7 3100
 
8.5%
3 3065
 
8.4%
8 2708
 
7.4%
6 2083
 
5.7%
4 1943
 
5.3%
1 1890
 
5.2%
9 1395
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 7303
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43863
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10569
24.1%
- 7303
16.6%
0 6057
13.8%
2 3737
 
8.5%
7 3100
 
7.1%
3 3065
 
7.0%
8 2708
 
6.2%
6 2083
 
4.7%
4 1943
 
4.4%
1 1890
 
4.3%
Other values (3) 1408
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43863
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10569
24.1%
- 7303
16.6%
0 6057
13.8%
2 3737
 
8.5%
7 3100
 
7.1%
3 3065
 
7.0%
8 2708
 
6.2%
6 2083
 
4.7%
4 1943
 
4.4%
1 1890
 
4.3%
Other values (3) 1408
 
3.2%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size28.8 KiB
<NA>
3334 
개인
 
158
의료법인
 
137
재단법인
 
8
공립
 
4
Other values (17)
 
32

Length

Max length11
Median length4
Mean length3.9218622
Min length2

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st row국립
2nd row의료법인
3rd row재단법인
4th row공립 (근로복지공단)
5th row공립 (지방의료원)

Common Values

ValueCountFrequency (%)
<NA> 3334
90.8%
개인 158
 
4.3%
의료법인 137
 
3.7%
재단법인 8
 
0.2%
공립 4
 
0.1%
의료법인(휴업) 3
 
0.1%
사단법인 3
 
0.1%
국립 3
 
0.1%
법인 3
 
0.1%
소비자생활협동조합 3
 
0.1%
Other values (12) 17
 
0.5%

Length

2023-12-11T08:28:35.076748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3334
90.7%
개인 158
 
4.3%
의료법인 137
 
3.7%
재단법인 8
 
0.2%
공립 6
 
0.2%
법인 3
 
0.1%
공립(시도립 3
 
0.1%
소비자생활협동조합 3
 
0.1%
군립 3
 
0.1%
국립 3
 
0.1%
Other values (12) 17
 
0.5%

Interactions

2023-12-11T08:28:25.609071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:28:35.165494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호종별정신요양민간국립공립비고
일련번호1.0000.844NaNNaN0.427NaN
종별0.8441.0000.9520.8220.6190.605
정신NaN0.9521.0001.0001.0000.976
요양NaN0.8221.0001.0000.8750.897
민간국립공립0.4270.6191.0000.8751.0000.919
비고NaN0.6050.9760.8970.9191.000
2023-12-11T08:28:35.283256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별비고민간국립공립
종별1.0000.2680.284
비고0.2681.0000.702
민간국립공립0.2840.7021.000
2023-12-11T08:28:35.381922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호종별민간국립공립비고
일련번호1.0000.5360.1971.000
종별0.5361.0000.2840.268
민간국립공립0.1970.2841.0000.702
비고1.0000.2680.7021.000

Missing values

2023-12-11T08:28:25.757640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:28:25.948692image/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.
2023-12-11T08:28:26.100635image/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

일련번호의료기관명종별병상수(계)일반정신요양소재지개설자민간국립공립개설일자전화번호비고
01창원경상대학교병원종합병원586586<NA><NA>경상남도 창원시 성산구 삼정자로 11 (성주동, 창원경상대학교병원)신희석공립2016-01-15055-214-1106국립
12의료법인 한마음국제의료재단 한마음창원병원종합병원377377<NA><NA>경상남도 창원시 성산구 원이대로682번길 21 (상남동)하충식민간2002-04-01055-267-2000의료법인
23재단법인대구포교성베네딕도수녀회창원파티마병원종합병원441441<NA><NA>경상남도 창원시 의창구 창이대로 45 (명서동)서준석민간1983-02-02055-270-1000재단법인
34근로복지공단 창원병원종합병원262262<NA><NA>경상남도 창원시 성산구 창원대로 721 (중앙동)심경우공립1979-11-26055-282-5111공립 (근로복지공단)
45경상남도마산의료원종합병원290290<NA><NA>경상남도 창원시 마산합포구 3·15대로 231 (중앙동3가)황수현공공1984-02-23055-249-1000공립 (지방의료원)
56동마산병원종합병원188188<NA><NA>경상남도 창원시 마산회원구 3·15대로 681 (석전동, 동마산병원)이철수민간1983-02-25055-290-5172개인
67의료법인석영의료재단창원제일종합병원종합병원233233<NA><NA>경상남도 창원시 마산합포구 3·15대로 238 (중앙동3가)윤석환민간2002-05-01055-223-9000의료법인
78의료법인청아의료재단청아병원종합병원285285<NA><NA>경상남도 창원시 마산회원구 내서읍 광려천서로 67 (청아병원)최재영민간2002-07-03055-230-1500의료법인
89의료법인합포의료재단에스엠지연세병원종합병원349349<NA><NA>경상남도 창원시 마산합포구 3·15대로 76 (월남동2가, 합포의료재단)박재균민간2002-06-01055-243-0100의료법인
910학교법인성균관대학삼성창원병원종합병원744744<NA><NA>경상남도 창원시 마산회원구 팔용로 158 (합성동, 삼성창원병원)김준영민간1981-03-11055-233-5114학교법인
일련번호의료기관명종별병상수(계)일반정신요양소재지개설자민간국립공립개설일자전화번호비고
36633664㈜LG창원1공장부속의원부속의원<NA><NA><NA>경상남도 창원시 성산구 성산패총로 170 (가음정동)정도현민간1994-01-31055-260-3138<NA>
36643665두산공작기계(주)부속의원부속의원<NA><NA><NA>경상남도 창원시 성산구 정동로162번길 40 (남산동)김재섭민간1991-11-20055-280-4175<NA>
36653666진주교도소부속의원의원<NA><NA><NA><NA>경상남도 진주시 대곡면 월암로23번길 39법무부장관민간2005-09-30055-741-2181<NA>
36663667진주교도소부속치과의원치과의원<NA><NA><NA><NA>경상남도 진주시 대곡면 월암로23번길 39법무부장관민간2005-09-30055-741-2181<NA>
36673668통영구치소부속의원부속의원1818<NA><NA>경상남도 통영시 용남면 용남해안로 277통영구치소장국립2005-09-26055-649-8911<NA>
36683669삼성중공업부속의원부속의원<NA><NA><NA>경상남도 거제시 장평3로 80남준우 삼성중공업㈜민간1993-07-01055-630-3488<NA>
36693670삼성신한내부속의원부속의원<NA><NA><NA>경상남도 거제시 연초면 연하해안로 825남준우 삼성중공업㈜민간2010-09-30055-631-1038<NA>
36703671대우조선해양부속의원부속의원<NA><NA><NA>경상남도 거제시 거제대로 3370(아주동)이성근 대우조선해양㈜민간2004-01-03055-734-1003<NA>
36713672제39보병사단 의무근무대의무대1818<NA><NA>경상남도 함안군 군북면 함마대로 848제39보병사단 의무근무대장국립2016-01-20055-259-6177<NA>
36723673평화열린조산원조산원-<NA><NA><NA>경상남도 창원시 마산회원구 합성동1길 1구순태민간1980-01-31055-256-9236<NA>