Overview

Dataset statistics

Number of variables10
Number of observations3645
Missing cells10368
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory299.1 KiB
Average record size in memory84.0 B

Variable types

Numeric4
Text3
Categorical2
DateTime1

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

연번 is highly overall correlated with 일반 병상수 and 1 other fieldsHigh correlation
일반 병상수 is highly overall correlated with 연번High correlation
종별 is highly overall correlated with 연번High correlation
민간_국립_공립 is highly imbalanced (80.8%)Imbalance
일반 병상수 has 3170 (87.0%) missing valuesMissing
정신 병상수 has 3611 (99.1%) missing valuesMissing
요양 병상수 has 3554 (97.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:28:13.625737
Analysis finished2023-12-10 23:28:16.404234
Duration2.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct3645
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1823
Minimum1
Maximum3645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2023-12-11T08:28:16.480179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile183.2
Q1912
median1823
Q32734
95-th percentile3462.8
Maximum3645
Range3644
Interquartile range (IQR)1822

Descriptive statistics

Standard deviation1052.3652
Coefficient of variation (CV)0.57727109
Kurtosis-1.2
Mean1823
Median Absolute Deviation (MAD)911
Skewness0
Sum6644835
Variance1107472.5
MonotonicityStrictly increasing
2023-12-11T08:28:16.884417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2450 1
 
< 0.1%
2424 1
 
< 0.1%
2425 1
 
< 0.1%
2426 1
 
< 0.1%
2427 1
 
< 0.1%
2428 1
 
< 0.1%
2429 1
 
< 0.1%
2430 1
 
< 0.1%
2431 1
 
< 0.1%
Other values (3635) 3635
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 (%)
3645 1
< 0.1%
3644 1
< 0.1%
3643 1
< 0.1%
3642 1
< 0.1%
3641 1
< 0.1%
3640 1
< 0.1%
3639 1
< 0.1%
3638 1
< 0.1%
3637 1
< 0.1%
3636 1
< 0.1%

의료기관명
Text

Distinct3102
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2023-12-11T08:28:17.137540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length7.18738
Min length3

Characters and Unicode

Total characters26198
Distinct characters512
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

Unique2816 ?
Unique (%)77.3%

Sample

1st row창원경상대학교병원
2nd row의료법인 한마음국제의료재단 한마음창원병원
3rd row재단법인대구포교성베네딕도수녀회창원파티마병원
4th row근로복지공단 창원병원
5th row의료법인청아의료재단청아병원
ValueCountFrequency (%)
의료법인 22
 
0.6%
의원 17
 
0.4%
경희한의원 12
 
0.3%
서울치과의원 9
 
0.2%
의 9
 
0.2%
우리치과의원 8
 
0.2%
상아치과의원 8
 
0.2%
이사랑치과의원 8
 
0.2%
박치과의원 7
 
0.2%
현대치과의원 7
 
0.2%
Other values (3196) 3721
97.2%
2023-12-11T08:28:17.517777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 3747
 
14.3%
의 3677
 
14.0%
과 2055
 
7.8%
한 1002
 
3.8%
치 919
 
3.5%
이 394
 
1.5%
병 353
 
1.3%
인 343
 
1.3%
정 305
 
1.2%
소 284
 
1.1%
Other values (502) 13119
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25799
98.5%
Space Separator 185
 
0.7%
Uppercase Letter 56
 
0.2%
Open Punctuation 44
 
0.2%
Close Punctuation 44
 
0.2%
Decimal Number 34
 
0.1%
Lowercase Letter 17
 
0.1%
Other Punctuation 13
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3747
 
14.5%
의 3677
 
14.3%
과 2055
 
8.0%
한 1002
 
3.9%
치 919
 
3.6%
이 394
 
1.5%
병 353
 
1.4%
인 343
 
1.3%
정 305
 
1.2%
소 284
 
1.1%
Other values (466) 12720
49.3%
Uppercase Letter
ValueCountFrequency (%)
C 12
21.4%
S 9
16.1%
H 5
8.9%
L 5
8.9%
K 4
 
7.1%
B 3
 
5.4%
M 3
 
5.4%
A 3
 
5.4%
J 2
 
3.6%
G 2
 
3.6%
Other values (7) 8
14.3%
Decimal Number
ValueCountFrequency (%)
3 7
20.6%
5 6
17.6%
1 6
17.6%
2 6
17.6%
6 6
17.6%
0 2
 
5.9%
9 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 11
64.7%
h 2
 
11.8%
t 2
 
11.8%
r 1
 
5.9%
m 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
& 8
61.5%
. 5
38.5%
Space Separator
ValueCountFrequency (%)
185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25802
98.5%
Common 323
 
1.2%
Latin 73
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3747
 
14.5%
의 3677
 
14.3%
과 2055
 
8.0%
한 1002
 
3.9%
치 919
 
3.6%
이 394
 
1.5%
병 353
 
1.4%
인 343
 
1.3%
정 305
 
1.2%
소 284
 
1.1%
Other values (467) 12723
49.3%
Latin
ValueCountFrequency (%)
C 12
16.4%
e 11
15.1%
S 9
12.3%
H 5
 
6.8%
L 5
 
6.8%
K 4
 
5.5%
B 3
 
4.1%
M 3
 
4.1%
A 3
 
4.1%
J 2
 
2.7%
Other values (12) 16
21.9%
Common
ValueCountFrequency (%)
185
57.3%
( 44
 
13.6%
) 44
 
13.6%
& 8
 
2.5%
3 7
 
2.2%
5 6
 
1.9%
1 6
 
1.9%
2 6
 
1.9%
6 6
 
1.9%
. 5
 
1.5%
Other values (3) 6
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25799
98.5%
ASCII 396
 
1.5%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 3747
 
14.5%
의 3677
 
14.3%
과 2055
 
8.0%
한 1002
 
3.9%
치 919
 
3.6%
이 394
 
1.5%
병 353
 
1.4%
인 343
 
1.3%
정 305
 
1.2%
소 284
 
1.1%
Other values (466) 12720
49.3%
ASCII
ValueCountFrequency (%)
185
46.7%
( 44
 
11.1%
) 44
 
11.1%
C 12
 
3.0%
e 11
 
2.8%
S 9
 
2.3%
& 8
 
2.0%
3 7
 
1.8%
5 6
 
1.5%
1 6
 
1.5%
Other values (25) 64
 
16.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

종별
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
의원
1612 
치과의원
882 
한의원
802 
병원
 
129
요양병원
 
121
Other values (10)
 
99

Length

Max length6
Median length4
Mean length2.8263374
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 1612
44.2%
치과의원 882
24.2%
한의원 802
22.0%
병원 129
 
3.5%
요양병원 121
 
3.3%
종합병원 25
 
0.7%
정신병원 24
 
0.7%
치과병원 20
 
0.5%
부속의원 11
 
0.3%
한방병원 9
 
0.2%
Other values (5) 10
 
0.3%

Length

2023-12-11T08:28:17.669027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 1612
44.2%
치과의원 882
24.2%
한의원 802
22.0%
병원 129
 
3.5%
요양병원 121
 
3.3%
종합병원 25
 
0.7%
정신병원 24
 
0.7%
치과병원 20
 
0.5%
부속의원 11
 
0.3%
한방병원 9
 
0.2%
Other values (5) 10
 
0.3%

일반 병상수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct163
Distinct (%)34.3%
Missing3170
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean77.663158
Minimum1
Maximum1027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2023-12-11T08:28:17.834847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19
median29
Q398.5
95-th percentile286.2
Maximum1027
Range1026
Interquartile range (IQR)89.5

Descriptive statistics

Standard deviation118.54653
Coefficient of variation (CV)1.5264191
Kurtosis15.777233
Mean77.663158
Median Absolute Deviation (MAD)25
Skewness3.2889096
Sum36890
Variance14053.279
MonotonicityNot monotonic
2023-12-11T08:28:17.996408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 57
 
1.6%
1 34
 
0.9%
2 20
 
0.5%
3 17
 
0.5%
10 14
 
0.4%
9 13
 
0.4%
4 12
 
0.3%
6 9
 
0.2%
28 9
 
0.2%
20 9
 
0.2%
Other values (153) 281
 
7.7%
(Missing) 3170
87.0%
ValueCountFrequency (%)
1 34
0.9%
2 20
0.5%
3 17
0.5%
4 12
 
0.3%
5 8
 
0.2%
6 9
 
0.2%
7 7
 
0.2%
8 8
 
0.2%
9 13
 
0.4%
10 14
0.4%
ValueCountFrequency (%)
1027 1
< 0.1%
803 1
< 0.1%
744 1
< 0.1%
623 1
< 0.1%
597 1
< 0.1%
586 1
< 0.1%
574 1
< 0.1%
498 1
< 0.1%
477 1
< 0.1%
441 1
< 0.1%

정신 병상수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)79.4%
Missing3611
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean240.55882
Minimum0
Maximum844
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2023-12-11T08:28:18.128632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.9
Q1109.5
median261
Q3299
95-th percentile487.5
Maximum844
Range844
Interquartile range (IQR)189.5

Descriptive statistics

Standard deviation175.90255
Coefficient of variation (CV)0.7312247
Kurtosis3.3895457
Mean240.55882
Median Absolute Deviation (MAD)98
Skewness1.3793188
Sum8179
Variance30941.709
MonotonicityNot monotonic
2023-12-11T08:28:18.275601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
299 8
 
0.2%
377 1
 
< 0.1%
354 1
 
< 0.1%
330 1
 
< 0.1%
650 1
 
< 0.1%
180 1
 
< 0.1%
84 1
 
< 0.1%
54 1
 
< 0.1%
0 1
 
< 0.1%
30 1
 
< 0.1%
Other values (17) 17
 
0.5%
(Missing) 3611
99.1%
ValueCountFrequency (%)
0 1
< 0.1%
24 1
< 0.1%
30 1
< 0.1%
33 1
< 0.1%
54 1
< 0.1%
60 1
< 0.1%
84 1
< 0.1%
100 1
< 0.1%
108 1
< 0.1%
114 1
< 0.1%
ValueCountFrequency (%)
844 1
 
< 0.1%
650 1
 
< 0.1%
400 1
 
< 0.1%
386 1
 
< 0.1%
377 1
 
< 0.1%
354 1
 
< 0.1%
330 1
 
< 0.1%
299 8
0.2%
290 1
 
< 0.1%
287 1
 
< 0.1%

요양 병상수
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)80.2%
Missing3554
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean205.20879
Minimum70
Maximum558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2023-12-11T08:28:18.450235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile97.5
Q1149
median193
Q3236.5
95-th percentile349.5
Maximum558
Range488
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation88.680139
Coefficient of variation (CV)0.43214591
Kurtosis3.8007618
Mean205.20879
Median Absolute Deviation (MAD)44
Skewness1.6419851
Sum18674
Variance7864.167
MonotonicityNot monotonic
2023-12-11T08:28:18.615710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199 12
 
0.3%
180 2
 
0.1%
239 2
 
0.1%
190 2
 
0.1%
289 2
 
0.1%
149 2
 
0.1%
179 2
 
0.1%
196 2
 
0.1%
100 1
 
< 0.1%
152 1
 
< 0.1%
Other values (63) 63
 
1.7%
(Missing) 3554
97.5%
ValueCountFrequency (%)
70 1
< 0.1%
74 1
< 0.1%
82 1
< 0.1%
95 1
< 0.1%
97 1
< 0.1%
98 1
< 0.1%
99 1
< 0.1%
100 1
< 0.1%
109 1
< 0.1%
110 1
< 0.1%
ValueCountFrequency (%)
558 1
< 0.1%
486 1
< 0.1%
482 1
< 0.1%
463 1
< 0.1%
354 1
< 0.1%
345 1
< 0.1%
333 1
< 0.1%
330 1
< 0.1%
322 1
< 0.1%
299 1
< 0.1%

소재지
Text

Distinct3334
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2023-12-11T08:28:19.004475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length28.980247
Min length16

Characters and Unicode

Total characters105633
Distinct characters482
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

Unique3121 ?
Unique (%)85.6%

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 마산회원구 내서읍 광려천서로 67 (청아병원)
ValueCountFrequency (%)
경상남도 3644
 
16.0%
창원시 1270
 
5.6%
김해시 526
 
2.3%
2층 427
 
1.9%
진주시 418
 
1.8%
양산시 368
 
1.6%
성산구 331
 
1.5%
의창구 254
 
1.1%
마산회원구 252
 
1.1%
마산합포구 240
 
1.1%
Other values (3521) 15065
66.1%
2023-12-11T08:28:19.497936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19180
 
18.2%
남 4220
 
4.0%
상 4151
 
3.9%
도 3749
 
3.5%
경 3742
 
3.5%
동 3329
 
3.2%
로 3310
 
3.1%
시 3273
 
3.1%
1 3057
 
2.9%
( 2887
 
2.7%
Other values (472) 54735
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64488
61.0%
Space Separator 19180
 
18.2%
Decimal Number 15286
 
14.5%
Open Punctuation 2887
 
2.7%
Close Punctuation 2887
 
2.7%
Dash Punctuation 488
 
0.5%
Other Punctuation 193
 
0.2%
Uppercase Letter 149
 
0.1%
Math Symbol 38
 
< 0.1%
Lowercase Letter 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 4220
 
6.5%
상 4151
 
6.4%
도 3749
 
5.8%
경 3742
 
5.8%
동 3329
 
5.2%
로 3310
 
5.1%
시 3273
 
5.1%
원 2103
 
3.3%
창 1891
 
2.9%
산 1655
 
2.6%
Other values (415) 33065
51.3%
Uppercase Letter
ValueCountFrequency (%)
A 18
12.1%
B 17
11.4%
C 17
11.4%
N 14
9.4%
S 12
 
8.1%
K 10
 
6.7%
Y 9
 
6.0%
T 7
 
4.7%
L 7
 
4.7%
P 5
 
3.4%
Other values (13) 33
22.1%
Lowercase Letter
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
e 5
13.9%
y 2
 
5.6%
p 2
 
5.6%
r 2
 
5.6%
o 2
 
5.6%
n 2
 
5.6%
z 2
 
5.6%
u 1
 
2.8%
Other values (6) 6
16.7%
Decimal Number
ValueCountFrequency (%)
1 3057
20.0%
2 2490
16.3%
3 1984
13.0%
0 1497
9.8%
4 1434
9.4%
5 1282
8.4%
6 985
 
6.4%
7 984
 
6.4%
8 888
 
5.8%
9 685
 
4.5%
Other Punctuation
ValueCountFrequency (%)
· 139
72.0%
. 54
 
28.0%
Space Separator
ValueCountFrequency (%)
19180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2887
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2887
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%
Math Symbol
ValueCountFrequency (%)
~ 38
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64488
61.0%
Common 40960
38.8%
Latin 185
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 4220
 
6.5%
상 4151
 
6.4%
도 3749
 
5.8%
경 3742
 
5.8%
동 3329
 
5.2%
로 3310
 
5.1%
시 3273
 
5.1%
원 2103
 
3.3%
창 1891
 
2.9%
산 1655
 
2.6%
Other values (415) 33065
51.3%
Latin
ValueCountFrequency (%)
A 18
 
9.7%
B 17
 
9.2%
C 17
 
9.2%
N 14
 
7.6%
S 12
 
6.5%
K 10
 
5.4%
Y 9
 
4.9%
T 7
 
3.8%
L 7
 
3.8%
l 6
 
3.2%
Other values (29) 68
36.8%
Common
ValueCountFrequency (%)
19180
46.8%
1 3057
 
7.5%
( 2887
 
7.0%
) 2887
 
7.0%
2 2490
 
6.1%
3 1984
 
4.8%
0 1497
 
3.7%
4 1434
 
3.5%
5 1282
 
3.1%
6 985
 
2.4%
Other values (8) 3277
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64488
61.0%
ASCII 41006
38.8%
None 139
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19180
46.8%
1 3057
 
7.5%
( 2887
 
7.0%
) 2887
 
7.0%
2 2490
 
6.1%
3 1984
 
4.8%
0 1497
 
3.7%
4 1434
 
3.5%
5 1282
 
3.1%
6 985
 
2.4%
Other values (46) 3323
 
8.1%
Hangul
ValueCountFrequency (%)
남 4220
 
6.5%
상 4151
 
6.4%
도 3749
 
5.8%
경 3742
 
5.8%
동 3329
 
5.2%
로 3310
 
5.1%
시 3273
 
5.1%
원 2103
 
3.3%
창 1891
 
2.9%
산 1655
 
2.6%
Other values (415) 33065
51.3%
None
ValueCountFrequency (%)
· 139
100.0%

민간_국립_공립
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
민간
3312 
<NA>
 
187
개인
 
115
공립
 
16
국립
 
10
Other values (3)
 
5

Length

Max length8
Median length2
Mean length2.1058985
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
민간 3312
90.9%
<NA> 187
 
5.1%
개인 115
 
3.2%
공립 16
 
0.4%
국립 10
 
0.3%
의료법인 3
 
0.1%
특수법인(공공) 1
 
< 0.1%
도립 1
 
< 0.1%

Length

2023-12-11T08:28:19.655913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:19.787454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 3312
90.9%
na 187
 
5.1%
개인 115
 
3.2%
공립 16
 
0.4%
국립 10
 
0.3%
의료법인 3
 
0.1%
특수법인(공공 1
 
< 0.1%
도립 1
 
< 0.1%

개설일자
Date

Distinct2797
Distinct (%)76.8%
Missing3
Missing (%)0.1%
Memory size28.6 KiB
Minimum1946-06-01 00:00:00
Maximum2019-01-01 00:00:00
2023-12-11T08:28:19.936023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:20.086771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

Distinct3590
Distinct (%)99.3%
Missing30
Missing (%)0.8%
Memory size28.6 KiB
2023-12-11T08:28:20.338489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.997787
Min length9

Characters and Unicode

Total characters43372
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

Unique3566 ?
Unique (%)98.6%

Sample

1st row055-214-1106
2nd row055-267-2000
3rd row055-270-1000
4th row055-282-5111
5th row055-230-1500
ValueCountFrequency (%)
055-761-7582 3
 
0.1%
055-221-7051 2
 
0.1%
055-648-5110 2
 
0.1%
055-288-1075 2
 
0.1%
055-741-1120 2
 
0.1%
055-884-5162 2
 
0.1%
055-832-3311 2
 
0.1%
055-283-6700 2
 
0.1%
055-356-8200 2
 
0.1%
055-745-1114 2
 
0.1%
Other values (3580) 3594
99.4%
2023-12-11T08:28:20.771268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10451
24.1%
- 7226
16.7%
0 5979
13.8%
2 3709
 
8.6%
7 3076
 
7.1%
3 3048
 
7.0%
8 2655
 
6.1%
6 2064
 
4.8%
4 1930
 
4.4%
1 1871
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36146
83.3%
Dash Punctuation 7226
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10451
28.9%
0 5979
16.5%
2 3709
 
10.3%
7 3076
 
8.5%
3 3048
 
8.4%
8 2655
 
7.3%
6 2064
 
5.7%
4 1930
 
5.3%
1 1871
 
5.2%
9 1363
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 7226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10451
24.1%
- 7226
16.7%
0 5979
13.8%
2 3709
 
8.6%
7 3076
 
7.1%
3 3048
 
7.0%
8 2655
 
6.1%
6 2064
 
4.8%
4 1930
 
4.4%
1 1871
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10451
24.1%
- 7226
16.7%
0 5979
13.8%
2 3709
 
8.6%
7 3076
 
7.1%
3 3048
 
7.0%
8 2655
 
6.1%
6 2064
 
4.8%
4 1930
 
4.4%
1 1871
 
4.3%

Interactions

2023-12-11T08:28:15.525299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:14.529932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:14.869481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.215796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.608291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:14.622127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:14.958800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.300844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.691041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:14.704783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.054992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.381751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.784496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:14.791686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.146232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:15.452668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:28:20.881688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별일반 병상수정신 병상수요양 병상수민간_국립_공립
연번1.0000.8620.3980.0000.6980.263
종별0.8621.0000.6400.0000.4970.528
일반 병상수0.3980.6401.0000.797NaN0.363
정신 병상수0.0000.0000.7971.000NaN0.441
요양 병상수0.6980.497NaNNaN1.0000.000
민간_국립_공립0.2630.5280.3630.4410.0001.000
2023-12-11T08:28:20.986309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별민간_국립_공립
종별1.0000.271
민간_국립_공립0.2711.000
2023-12-11T08:28:21.091389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번일반 병상수정신 병상수요양 병상수종별민간_국립_공립
연번1.000-0.6500.0950.0170.5400.136
일반 병상수-0.6501.000-0.320NaN0.3390.218
정신 병상수0.095-0.3201.0000.1000.0000.300
요양 병상수0.017NaN0.1001.0000.3520.000
종별0.5400.3390.0000.3521.0000.271
민간_국립_공립0.1360.2180.3000.0000.2711.000

Missing values

2023-12-11T08:28:15.918059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:28:16.136979image/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.
2023-12-11T08:28:16.313594image/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

연번의료기관명종별일반 병상수정신 병상수요양 병상수소재지민간_국립_공립개설일자전화번호
01창원경상대학교병원종합병원586<NA><NA>경상남도 창원시 성산구 삼정자로 11 (성주동 창원경상대학교병원)공립2016-01-15055-214-1106
12의료법인 한마음국제의료재단 한마음창원병원종합병원377<NA><NA>경상남도 창원시 성산구 원이대로682번길 21 (상남동)민간2002-04-01055-267-2000
23재단법인대구포교성베네딕도수녀회창원파티마병원종합병원441<NA><NA>경상남도 창원시 의창구 창이대로 45 (명서동)민간1983-02-02055-270-1000
34근로복지공단 창원병원종합병원262<NA><NA>경상남도 창원시 성산구 창원대로 721 (중앙동)공립1979-11-26055-282-5111
45의료법인청아의료재단청아병원종합병원285<NA><NA>경상남도 창원시 마산회원구 내서읍 광려천서로 67 (청아병원)민간2002-07-03055-230-1500
56의료법인합포의료재단MH연세병원종합병원348<NA><NA>경상남도 창원시 마산합포구 3·15대로 76 (월남동2가 합포의료재단)민간2002-06-01055-243-0100
67의료법인석영의료재단창원제일종합병원종합병원223<NA><NA>경상남도 창원시 마산합포구 3·15대로 238 (중앙동3가)민간2002-05-01055-223-9000
78경상남도마산의료원종합병원298<NA><NA>경상남도 창원시 마산합포구 3·15대로 231 (중앙동3가)공립1984-02-23055-249-1000
89동마산병원종합병원188<NA><NA>경상남도 창원시 마산회원구 3·15대로 681 (석전동 동마산병원)민간1983-02-25055-290-5172
910학교법인성균관대학삼성창원병원종합병원744<NA><NA>경상남도 창원시 마산회원구 팔용로 158 (합성동 삼성창원병원)민간1981-03-11055-233-5114
연번의료기관명종별일반 병상수정신 병상수요양 병상수소재지민간_국립_공립개설일자전화번호
36353636가야한의원한의원<NA><NA><NA>경상남도 합천군 가야면 가야시장로 73-1민간2005-09-23055-933-3310
36363637삼대경희한의원한의원<NA><NA><NA>경상남도 합천군 가야면 가야시장로 71-10민간2005-02-22055-931-2711
36373638인제한의원한의원<NA><NA><NA>경상남도 합천군 합천읍 대야로 888민간2002-06-20055-931-8275
36383639안재규한의원한의원<NA><NA><NA>경상남도 합천군 합천읍 대야로 895민간2002-04-19055-933-7770
36393640합천고려한의원한의원<NA><NA><NA>경상남도 합천군 합천읍 옥산로 69민간1999-03-15055-933-7822
36403641창신한의원한의원<NA><NA><NA>경상남도 합천군 삼가면 삼가중앙1길 39민간1996-04-25055-932-3389
36413642합천 자연한의원한의원<NA><NA><NA>경상남도 합천군 합천읍 대야로 889민간1994-08-22055-932-5853
36423643세광한의원한의원<NA><NA><NA>경상남도 합천군 합천읍 동서로 92-9민간1994-06-12055-932-1444
36433644허승무한의원한의원<NA><NA><NA>경상남도 합천군 합천읍 충효로 77-8민간1986-03-29055-933-0809
36443645정담한의원한의원<NA><NA><NA>경상남도 합천군 삼가면 삼가중앙2길 7민간2018-12-18055-933-0388