Overview

Dataset statistics

Number of variables26
Number of observations1388
Missing cells3420
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory299.7 KiB
Average record size in memory221.1 B

Variable types

Categorical7
Text6
DateTime3
Numeric10

Alerts

영업상태명 is highly imbalanced (55.5%)Imbalance
특수구급차대수 is highly imbalanced (92.3%)Imbalance
일반구급차대수 is highly imbalanced (92.3%)Imbalance
허가병상수 is highly imbalanced (92.3%)Imbalance
인허가취소일자 has 1378 (99.3%) missing valuesMissing
폐업일자 has 905 (65.2%) missing valuesMissing
소재지시설전화번호 has 42 (3.0%) missing valuesMissing
소재지면적정보 has 725 (52.2%) missing valuesMissing
X좌표값 has 124 (8.9%) missing valuesMissing
Y좌표값 has 124 (8.9%) missing valuesMissing
소재지면적정보 is highly skewed (γ1 = 25.4600309)Skewed
총면적 is highly skewed (γ1 = 36.2261287)Skewed
입원실수 has 84 (6.1%) zerosZeros
병상수 has 68 (4.9%) zerosZeros

Reproduction

Analysis started2023-12-10 21:48:39.938973
Analysis finished2023-12-10 21:48:41.303147
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
안산시
133 
고양시
116 
부천시
106 
수원시
100 
용인시
93 
Other values (26)
840 

Length

Max length4
Median length3
Mean length3.0965418
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 133
 
9.6%
고양시 116
 
8.4%
부천시 106
 
7.6%
수원시 100
 
7.2%
용인시 93
 
6.7%
성남시 80
 
5.8%
시흥시 77
 
5.5%
화성시 71
 
5.1%
파주시 68
 
4.9%
남양주시 61
 
4.4%
Other values (21) 483
34.8%

Length

2023-12-11T06:48:41.365965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 133
 
9.6%
고양시 116
 
8.4%
부천시 106
 
7.6%
수원시 100
 
7.2%
용인시 93
 
6.7%
성남시 80
 
5.8%
시흥시 77
 
5.5%
화성시 71
 
5.1%
파주시 68
 
4.9%
남양주시 61
 
4.4%
Other values (21) 483
34.8%

사업장명
Text

Distinct1306
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-11T06:48:41.592046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length8.2716138
Min length3

Characters and Unicode

Total characters11481
Distinct characters401
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1239 ?
Unique (%)89.3%

Sample

1st row가평산속요양병원
2nd row가평푸른숲요양병원
3rd row감인노인전문병원
4th row강변요양병원
5th row국군청평병원
ValueCountFrequency (%)
의료법인 73
 
4.5%
요양병원 8
 
0.5%
우리병원 5
 
0.3%
효산의료재단 5
 
0.3%
새생명요양병원 4
 
0.2%
서울요양병원 4
 
0.2%
병원 4
 
0.2%
의료법인자비의료재단 3
 
0.2%
바른병원 3
 
0.2%
서울병원 3
 
0.2%
Other values (1415) 1526
93.2%
2023-12-11T06:48:41.944192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1479
 
12.9%
병 1389
 
12.1%
양 477
 
4.2%
요 430
 
3.7%
의 355
 
3.1%
한 319
 
2.8%
료 311
 
2.7%
250
 
2.2%
인 242
 
2.1%
방 233
 
2.0%
Other values (391) 5996
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11128
96.9%
Space Separator 250
 
2.2%
Decimal Number 33
 
0.3%
Close Punctuation 28
 
0.2%
Open Punctuation 26
 
0.2%
Uppercase Letter 15
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1479
 
13.3%
병 1389
 
12.5%
양 477
 
4.3%
요 430
 
3.9%
의 355
 
3.2%
한 319
 
2.9%
료 311
 
2.8%
인 242
 
2.2%
방 233
 
2.1%
재 185
 
1.7%
Other values (373) 5708
51.3%
Uppercase Letter
ValueCountFrequency (%)
S 6
40.0%
C 2
 
13.3%
R 2
 
13.3%
N 1
 
6.7%
U 1
 
6.7%
G 1
 
6.7%
H 1
 
6.7%
K 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 9
27.3%
1 7
21.2%
5 6
18.2%
3 5
15.2%
6 5
15.2%
7 1
 
3.0%
Space Separator
ValueCountFrequency (%)
250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11128
96.9%
Common 338
 
2.9%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1479
 
13.3%
병 1389
 
12.5%
양 477
 
4.3%
요 430
 
3.9%
의 355
 
3.2%
한 319
 
2.9%
료 311
 
2.8%
인 242
 
2.2%
방 233
 
2.1%
재 185
 
1.7%
Other values (373) 5708
51.3%
Common
ValueCountFrequency (%)
250
74.0%
) 28
 
8.3%
( 26
 
7.7%
2 9
 
2.7%
1 7
 
2.1%
5 6
 
1.8%
3 5
 
1.5%
6 5
 
1.5%
7 1
 
0.3%
- 1
 
0.3%
Latin
ValueCountFrequency (%)
S 6
40.0%
C 2
 
13.3%
R 2
 
13.3%
N 1
 
6.7%
U 1
 
6.7%
G 1
 
6.7%
H 1
 
6.7%
K 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11128
96.9%
ASCII 353
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1479
 
13.3%
병 1389
 
12.5%
양 477
 
4.3%
요 430
 
3.9%
의 355
 
3.2%
한 319
 
2.9%
료 311
 
2.8%
인 242
 
2.2%
방 233
 
2.1%
재 185
 
1.7%
Other values (373) 5708
51.3%
ASCII
ValueCountFrequency (%)
250
70.8%
) 28
 
7.9%
( 26
 
7.4%
2 9
 
2.5%
1 7
 
2.0%
5 6
 
1.7%
S 6
 
1.7%
3 5
 
1.4%
6 5
 
1.4%
C 2
 
0.6%
Other values (8) 9
 
2.5%

인허가일자
Date

Distinct1236
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
Minimum1900-01-01 00:00:00
Maximum2023-11-14 00:00:00
2023-12-11T06:48:42.072011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:42.194834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지도로명주소
Text

Distinct1283
Distinct (%)93.2%
Missing11
Missing (%)0.8%
Memory size11.0 KiB
2023-12-11T06:48:42.518590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length65
Mean length32.964415
Min length17

Characters and Unicode

Total characters45392
Distinct characters467
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1205 ?
Unique (%)87.5%

Sample

1st row경기도 가평군 상면 대보간선로 889
2nd row경기도 가평군 상면 물골길 262-23
3rd row경기도 가평군 상면 물골길 262-23 (봉수리)
4th row경기도 가평군 가평읍 북한강변로 160
5th row경기도 가평군 청평면 경춘로 926
ValueCountFrequency (%)
경기도 1377
 
15.2%
안산시 132
 
1.5%
고양시 116
 
1.3%
부천시 105
 
1.2%
수원시 100
 
1.1%
용인시 91
 
1.0%
단원구 83
 
0.9%
성남시 79
 
0.9%
시흥시 77
 
0.8%
화성시 71
 
0.8%
Other values (2688) 6831
75.4%
2023-12-11T06:48:42.979145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7694
 
17.0%
, 1751
 
3.9%
1 1564
 
3.4%
경 1476
 
3.3%
기 1472
 
3.2%
시 1471
 
3.2%
도 1429
 
3.1%
동 1424
 
3.1%
로 1332
 
2.9%
) 1245
 
2.7%
Other values (457) 24534
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24726
54.5%
Decimal Number 7952
 
17.5%
Space Separator 7694
 
17.0%
Other Punctuation 1764
 
3.9%
Close Punctuation 1245
 
2.7%
Open Punctuation 1245
 
2.7%
Math Symbol 345
 
0.8%
Dash Punctuation 264
 
0.6%
Uppercase Letter 134
 
0.3%
Lowercase Letter 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1476
 
6.0%
기 1472
 
6.0%
시 1471
 
5.9%
도 1429
 
5.8%
동 1424
 
5.8%
로 1332
 
5.4%
층 900
 
3.6%
구 625
 
2.5%
원 473
 
1.9%
양 446
 
1.8%
Other values (402) 13678
55.3%
Uppercase Letter
ValueCountFrequency (%)
B 25
18.7%
C 11
 
8.2%
A 9
 
6.7%
S 9
 
6.7%
I 8
 
6.0%
E 8
 
6.0%
D 7
 
5.2%
W 6
 
4.5%
N 5
 
3.7%
K 5
 
3.7%
Other values (13) 41
30.6%
Decimal Number
ValueCountFrequency (%)
1 1564
19.7%
2 1088
13.7%
3 893
11.2%
0 873
11.0%
4 794
10.0%
5 735
9.2%
6 601
 
7.6%
7 551
 
6.9%
8 441
 
5.5%
9 412
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
l 3
15.8%
e 3
15.8%
a 3
15.8%
k 2
10.5%
r 2
10.5%
b 2
10.5%
n 1
 
5.3%
p 1
 
5.3%
c 1
 
5.3%
w 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 1751
99.3%
. 8
 
0.5%
/ 5
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 1
25.0%
Ⅳ 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 342
99.1%
∼ 3
 
0.9%
Space Separator
ValueCountFrequency (%)
7694
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24725
54.5%
Common 20509
45.2%
Latin 157
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1476
 
6.0%
기 1472
 
6.0%
시 1471
 
5.9%
도 1429
 
5.8%
동 1424
 
5.8%
로 1332
 
5.4%
층 900
 
3.6%
구 625
 
2.5%
원 473
 
1.9%
양 446
 
1.8%
Other values (401) 13677
55.3%
Latin
ValueCountFrequency (%)
B 25
 
15.9%
C 11
 
7.0%
A 9
 
5.7%
S 9
 
5.7%
I 8
 
5.1%
E 8
 
5.1%
D 7
 
4.5%
W 6
 
3.8%
N 5
 
3.2%
K 5
 
3.2%
Other values (26) 64
40.8%
Common
ValueCountFrequency (%)
7694
37.5%
, 1751
 
8.5%
1 1564
 
7.6%
) 1245
 
6.1%
( 1245
 
6.1%
2 1088
 
5.3%
3 893
 
4.4%
0 873
 
4.3%
4 794
 
3.9%
5 735
 
3.6%
Other values (9) 2627
 
12.8%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24725
54.5%
ASCII 20659
45.5%
Number Forms 4
 
< 0.1%
Math Operators 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7694
37.2%
, 1751
 
8.5%
1 1564
 
7.6%
) 1245
 
6.0%
( 1245
 
6.0%
2 1088
 
5.3%
3 893
 
4.3%
0 873
 
4.2%
4 794
 
3.8%
5 735
 
3.6%
Other values (41) 2777
 
13.4%
Hangul
ValueCountFrequency (%)
경 1476
 
6.0%
기 1472
 
6.0%
시 1471
 
5.9%
도 1429
 
5.8%
동 1424
 
5.8%
로 1332
 
5.4%
층 900
 
3.6%
구 625
 
2.5%
원 473
 
1.9%
양 446
 
1.8%
Other values (401) 13677
55.3%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 1
25.0%
Ⅳ 1
25.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

소재지지번주소
Text

Distinct1324
Distinct (%)95.5%
Missing2
Missing (%)0.1%
Memory size11.0 KiB
2023-12-11T06:48:43.273766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length59
Mean length27.634199
Min length7

Characters and Unicode

Total characters38301
Distinct characters434
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1266 ?
Unique (%)91.3%

Sample

1st row경기도 가평군 상면 항사리 2번지
2nd row경기도 가평군 상면 봉수리 49-4번지
3rd row경기도 가평군 상면 봉수리 49-4
4th row경기도 가평군 가평읍 금대리 585번지
5th row경기도 가평군 청평면 청평리 567번지 21호 사서함
ValueCountFrequency (%)
경기도 1372
 
16.9%
안산시 127
 
1.6%
1호 115
 
1.4%
고양시 108
 
1.3%
부천시 107
 
1.3%
수원시 100
 
1.2%
용인시 93
 
1.1%
단원구 79
 
1.0%
시흥시 77
 
0.9%
성남시 76
 
0.9%
Other values (2568) 5854
72.2%
2023-12-11T06:48:43.726278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6761
 
17.7%
1 1613
 
4.2%
기 1447
 
3.8%
시 1442
 
3.8%
도 1409
 
3.7%
경 1386
 
3.6%
동 1347
 
3.5%
지 1294
 
3.4%
번 1075
 
2.8%
2 967
 
2.5%
Other values (424) 19560
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21835
57.0%
Decimal Number 7984
 
20.8%
Space Separator 6761
 
17.7%
Other Punctuation 675
 
1.8%
Dash Punctuation 595
 
1.6%
Math Symbol 212
 
0.6%
Uppercase Letter 99
 
0.3%
Open Punctuation 58
 
0.2%
Close Punctuation 58
 
0.2%
Lowercase Letter 19
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1447
 
6.6%
시 1442
 
6.6%
도 1409
 
6.5%
경 1386
 
6.3%
동 1347
 
6.2%
지 1294
 
5.9%
번 1075
 
4.9%
호 723
 
3.3%
층 636
 
2.9%
구 612
 
2.8%
Other values (369) 10464
47.9%
Uppercase Letter
ValueCountFrequency (%)
B 16
16.2%
C 9
 
9.1%
A 8
 
8.1%
S 8
 
8.1%
I 7
 
7.1%
E 6
 
6.1%
D 5
 
5.1%
L 4
 
4.0%
W 4
 
4.0%
U 4
 
4.0%
Other values (13) 28
28.3%
Decimal Number
ValueCountFrequency (%)
1 1613
20.2%
2 967
12.1%
3 891
11.2%
4 824
10.3%
5 757
9.5%
0 753
9.4%
6 611
 
7.7%
7 585
 
7.3%
8 497
 
6.2%
9 486
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 3
15.8%
l 3
15.8%
e 3
15.8%
k 2
10.5%
b 2
10.5%
r 2
10.5%
c 1
 
5.3%
p 1
 
5.3%
n 1
 
5.3%
w 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 653
96.7%
. 16
 
2.4%
/ 6
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 210
99.1%
∼ 2
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅲ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
6761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 595
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21835
57.0%
Common 16343
42.7%
Latin 122
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1447
 
6.6%
시 1442
 
6.6%
도 1409
 
6.5%
경 1386
 
6.3%
동 1347
 
6.2%
지 1294
 
5.9%
번 1075
 
4.9%
호 723
 
3.3%
층 636
 
2.9%
구 612
 
2.8%
Other values (369) 10464
47.9%
Latin
ValueCountFrequency (%)
B 16
 
13.1%
C 9
 
7.4%
A 8
 
6.6%
S 8
 
6.6%
I 7
 
5.7%
E 6
 
4.9%
D 5
 
4.1%
L 4
 
3.3%
W 4
 
3.3%
U 4
 
3.3%
Other values (25) 51
41.8%
Common
ValueCountFrequency (%)
6761
41.4%
1 1613
 
9.9%
2 967
 
5.9%
3 891
 
5.5%
4 824
 
5.0%
5 757
 
4.6%
0 753
 
4.6%
, 653
 
4.0%
6 611
 
3.7%
- 595
 
3.6%
Other values (9) 1918
 
11.7%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21834
57.0%
ASCII 16459
43.0%
Number Forms 4
 
< 0.1%
Math Operators 2
 
< 0.1%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6761
41.1%
1 1613
 
9.8%
2 967
 
5.9%
3 891
 
5.4%
4 824
 
5.0%
5 757
 
4.6%
0 753
 
4.6%
, 653
 
4.0%
6 611
 
3.7%
- 595
 
3.6%
Other values (41) 2034
 
12.4%
Hangul
ValueCountFrequency (%)
기 1447
 
6.6%
시 1442
 
6.6%
도 1409
 
6.5%
경 1386
 
6.3%
동 1347
 
6.2%
지 1294
 
5.9%
번 1075
 
4.9%
호 723
 
3.3%
층 636
 
2.9%
구 612
 
2.8%
Other values (368) 10463
47.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅲ 1
 
25.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지우편번호
Real number (ℝ)

Distinct744
Distinct (%)54.0%
Missing11
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean14158.476
Minimum10012
Maximum18626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:43.868555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10012
5-th percentile10301.6
Q111813
median14533
Q316339
95-th percentile18242.4
Maximum18626
Range8614
Interquartile range (IQR)4526

Descriptive statistics

Standard deviation2551.1286
Coefficient of variation (CV)0.18018384
Kurtosis-1.1996393
Mean14158.476
Median Absolute Deviation (MAD)2313
Skewness-0.01989904
Sum19496221
Variance6508257
MonotonicityNot monotonic
2023-12-11T06:48:44.022465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10896 14
 
1.0%
11518 10
 
0.7%
10071 10
 
0.7%
16846 9
 
0.6%
14912 9
 
0.6%
12919 8
 
0.6%
15461 8
 
0.6%
15630 8
 
0.6%
10826 8
 
0.6%
15494 7
 
0.5%
Other values (734) 1286
92.7%
(Missing) 11
 
0.8%
ValueCountFrequency (%)
10012 1
 
0.1%
10018 6
0.4%
10023 1
 
0.1%
10029 1
 
0.1%
10035 2
 
0.1%
10062 1
 
0.1%
10071 10
0.7%
10072 1
 
0.1%
10073 1
 
0.1%
10077 3
 
0.2%
ValueCountFrequency (%)
18626 1
 
0.1%
18611 4
0.3%
18606 1
 
0.1%
18598 1
 
0.1%
18592 2
0.1%
18591 1
 
0.1%
18577 2
0.1%
18573 3
0.2%
18558 1
 
0.1%
18553 1
 
0.1%

위도
Real number (ℝ)

Distinct1177
Distinct (%)85.4%
Missing10
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.451547
Minimum36.98405
Maximum38.091111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:44.158034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.98405
5-th percentile37.08838
Q137.289351
median37.413152
Q337.648776
95-th percentile37.795617
Maximum38.091111
Range1.107061
Interquartile range (IQR)0.35942542

Descriptive statistics

Standard deviation0.22016064
Coefficient of variation (CV)0.005878546
Kurtosis-0.69155766
Mean37.451547
Median Absolute Deviation (MAD)0.15018907
Skewness0.1363441
Sum51608.232
Variance0.048470709
MonotonicityNot monotonic
2023-12-11T06:48:44.290156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3134804 6
 
0.4%
37.2845118 6
 
0.4%
37.250729009 5
 
0.4%
37.8491889 5
 
0.4%
37.6884335 4
 
0.3%
37.6895978 4
 
0.3%
37.3198403 4
 
0.3%
37.5998962 4
 
0.3%
37.288398 4
 
0.3%
37.2010599904 3
 
0.2%
Other values (1167) 1333
96.0%
(Missing) 10
 
0.7%
ValueCountFrequency (%)
36.9840497212 1
0.1%
36.9881523917 1
0.1%
36.9893298788 2
0.1%
36.9898906563 1
0.1%
36.9902752468 1
0.1%
36.9903562328 1
0.1%
36.9905649024 1
0.1%
36.991743 1
0.1%
36.9917974 1
0.1%
36.9919683829 1
0.1%
ValueCountFrequency (%)
38.0911107 1
0.1%
38.0494866 1
0.1%
38.0174251575 1
0.1%
38.0174005605 1
0.1%
37.9421798717 1
0.1%
37.9348602658 1
0.1%
37.9198109083 1
0.1%
37.9172633702 1
0.1%
37.9166 1
0.1%
37.9159725251 1
0.1%

경도
Real number (ℝ)

Distinct1177
Distinct (%)85.4%
Missing10
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean126.97899
Minimum126.56868
Maximum127.78078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:44.425852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56868
5-th percentile126.73022
Q1126.80005
median126.96507
Q3127.1124
95-th percentile127.30934
Maximum127.78078
Range1.2121006
Interquartile range (IQR)0.312347

Descriptive statistics

Standard deviation0.20017448
Coefficient of variation (CV)0.0015764379
Kurtosis0.54315661
Mean126.97899
Median Absolute Deviation (MAD)0.15630532
Skewness0.70230948
Sum174977.04
Variance0.040069824
MonotonicityNot monotonic
2023-12-11T06:48:44.564169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8276347 6
 
0.4%
126.8534123 6
 
0.4%
127.1546471639 5
 
0.4%
126.872413 5
 
0.4%
126.8656773 4
 
0.3%
126.6019764 4
 
0.3%
126.7885513 4
 
0.3%
127.1391537 4
 
0.3%
126.863069 4
 
0.3%
127.0713616339 3
 
0.2%
Other values (1167) 1333
96.0%
(Missing) 10
 
0.7%
ValueCountFrequency (%)
126.5686768408 1
 
0.1%
126.5870994059 1
 
0.1%
126.6001738151 1
 
0.1%
126.6019764 4
0.3%
126.6020784224 1
 
0.1%
126.6084077369 1
 
0.1%
126.608583 1
 
0.1%
126.6191440503 1
 
0.1%
126.6227959716 1
 
0.1%
126.6232141562 1
 
0.1%
ValueCountFrequency (%)
127.7807774627 1
0.1%
127.7542576108 1
0.1%
127.7021476459 1
0.1%
127.6913745235 1
0.1%
127.6686207363 1
0.1%
127.6350809464 1
0.1%
127.6329239251 1
0.1%
127.6288917 1
0.1%
127.6288883839 2
0.1%
127.6253165893 1
0.1%

인허가취소일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing1378
Missing (%)99.3%
Memory size11.0 KiB
Minimum2009-03-18 00:00:00
Maximum2016-01-15 00:00:00
2023-12-11T06:48:44.673247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:44.772896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
영업중
865 
폐업
455 
직권폐업
 
30
휴업
 
27
삭제
 
5
Other values (2)
 
6

Length

Max length4
Median length3
Mean length2.6664265
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 865
62.3%
폐업 455
32.8%
직권폐업 30
 
2.2%
휴업 27
 
1.9%
삭제 5
 
0.4%
전출 4
 
0.3%
기타 2
 
0.1%

Length

2023-12-11T06:48:44.906068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:45.006825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 865
62.3%
폐업 455
32.8%
직권폐업 30
 
2.2%
휴업 27
 
1.9%
삭제 5
 
0.4%
전출 4
 
0.3%
기타 2
 
0.1%

폐업일자
Date

MISSING 

Distinct449
Distinct (%)93.0%
Missing905
Missing (%)65.2%
Memory size11.0 KiB
Minimum1997-01-14 00:00:00
Maximum2023-11-23 00:00:00
2023-12-11T06:48:45.129743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:45.245464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct1243
Distinct (%)92.3%
Missing42
Missing (%)3.0%
Memory size11.0 KiB
2023-12-11T06:48:45.457541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.520059
Min length4

Characters and Unicode

Total characters15506
Distinct characters19
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1155 ?
Unique (%)85.8%

Sample

1st row031-584-8900
2nd row1661-9099
3rd row031-584-4728
4th row031-582-8858
5th row031-584-1363
ValueCountFrequency (%)
031 12
 
0.9%
031-476-7566 4
 
0.3%
031-898-0007 3
 
0.2%
031-944-6123 3
 
0.2%
031-375-5812 3
 
0.2%
572-1141 3
 
0.2%
032-225-8000 3
 
0.2%
031-413-5757 3
 
0.2%
031-409-4100 3
 
0.2%
031-415-1711 3
 
0.2%
Other values (1247) 1331
97.1%
2023-12-11T06:48:45.851921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2765
17.8%
- 2433
15.7%
1 2251
14.5%
3 1851
11.9%
5 1107
7.1%
7 1050
 
6.8%
2 958
 
6.2%
8 912
 
5.9%
9 766
 
4.9%
6 732
 
4.7%
Other values (9) 681
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13022
84.0%
Dash Punctuation 2433
 
15.7%
Space Separator 25
 
0.2%
Math Symbol 8
 
0.1%
Close Punctuation 6
 
< 0.1%
Other Punctuation 6
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2765
21.2%
1 2251
17.3%
3 1851
14.2%
5 1107
8.5%
7 1050
 
8.1%
2 958
 
7.4%
8 912
 
7.0%
9 766
 
5.9%
6 732
 
5.6%
4 630
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
/ 2
33.3%
Other Letter
ValueCountFrequency (%)
내 1
50.0%
선 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2433
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15504
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2765
17.8%
- 2433
15.7%
1 2251
14.5%
3 1851
11.9%
5 1107
7.1%
7 1050
 
6.8%
2 958
 
6.2%
8 912
 
5.9%
9 766
 
4.9%
6 732
 
4.7%
Other values (7) 679
 
4.4%
Hangul
ValueCountFrequency (%)
내 1
50.0%
선 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15504
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2765
17.8%
- 2433
15.7%
1 2251
14.5%
3 1851
11.9%
5 1107
7.1%
7 1050
 
6.8%
2 958
 
6.2%
8 912
 
5.9%
9 766
 
4.9%
6 732
 
4.7%
Other values (7) 679
 
4.4%
Hangul
ValueCountFrequency (%)
내 1
50.0%
선 1
50.0%

소재지면적정보
Real number (ℝ)

MISSING  SKEWED 

Distinct661
Distinct (%)99.7%
Missing725
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean24812.928
Minimum266.63
Maximum10871952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:46.016028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum266.63
5-th percentile1107.489
Q12009.46
median3080.75
Q35123.925
95-th percentile25252.7
Maximum10871952
Range10871685
Interquartile range (IQR)3114.465

Descriptive statistics

Standard deviation423560.68
Coefficient of variation (CV)17.070161
Kurtosis652.66707
Mean24812.928
Median Absolute Deviation (MAD)1357.06
Skewness25.460031
Sum16450971
Variance1.7940365 × 1011
MonotonicityNot monotonic
2023-12-11T06:48:46.208347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1800.97 2
 
0.1%
1455.83 2
 
0.1%
30960.54 1
 
0.1%
5014.93 1
 
0.1%
5160.97 1
 
0.1%
2800.0 1
 
0.1%
4042.9 1
 
0.1%
2946.0 1
 
0.1%
4051.71 1
 
0.1%
1447.0 1
 
0.1%
Other values (651) 651
46.9%
(Missing) 725
52.2%
ValueCountFrequency (%)
266.63 1
0.1%
365.27 1
0.1%
417.75 1
0.1%
427.88 1
0.1%
448.71 1
0.1%
588.43 1
0.1%
686.39 1
0.1%
712.04 1
0.1%
763.07 1
0.1%
781.36 1
0.1%
ValueCountFrequency (%)
10871952.0 1
0.1%
868162.65 1
0.1%
175617.36 1
0.1%
174347.61 1
0.1%
150397.2 1
0.1%
112786.91 1
0.1%
109537.0 1
0.1%
105649.0 1
0.1%
96987.39 1
0.1%
90076.59 1
0.1%

업태구분명정보
Categorical

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
병원
476 
요양병원(일반요양병원)
458 
한방병원
230 
종합병원
76 
치과병원
61 
Other values (5)
87 

Length

Max length12
Median length10
Mean length6.082853
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row요양병원(일반요양병원)
2nd row요양병원(일반요양병원)
3rd row요양병원(일반요양병원)
4th row요양병원(일반요양병원)
5th row병원

Common Values

ValueCountFrequency (%)
병원 476
34.3%
요양병원(일반요양병원) 458
33.0%
한방병원 230
16.6%
종합병원 76
 
5.5%
치과병원 61
 
4.4%
정신병원 55
 
4.0%
요양병원(노인병원) 21
 
1.5%
요양병원(정신병원) 9
 
0.6%
<NA> 1
 
0.1%
한의원 1
 
0.1%

Length

2023-12-11T06:48:46.368023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:46.518947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 476
34.3%
요양병원(일반요양병원 458
33.0%
한방병원 230
16.6%
종합병원 76
 
5.5%
치과병원 61
 
4.4%
정신병원 55
 
4.0%
요양병원(노인병원 21
 
1.5%
요양병원(정신병원 9
 
0.6%
na 1
 
0.1%
한의원 1
 
0.1%

X좌표값
Real number (ℝ)

MISSING 

Distinct1050
Distinct (%)83.1%
Missing124
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean198164.95
Minimum161890.45
Maximum268881.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:46.684688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161890.45
5-th percentile175816.47
Q1181968.16
median197926.71
Q3210149.01
95-th percentile227202.07
Maximum268881.65
Range106991.2
Interquartile range (IQR)28180.847

Descriptive statistics

Standard deviation17839.972
Coefficient of variation (CV)0.090025873
Kurtosis0.42806977
Mean198164.95
Median Absolute Deviation (MAD)13981.115
Skewness0.65568567
Sum2.5048049 × 108
Variance3.1826461 × 108
MonotonicityNot monotonic
2023-12-11T06:48:47.126987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186933.229708297 7
 
0.5%
187793.308016657 6
 
0.4%
184655.16144699 6
 
0.4%
183379.619849692 5
 
0.4%
164829.619839189 5
 
0.4%
188706.422860353 5
 
0.4%
212223.900950142 4
 
0.3%
204973.832925867 4
 
0.3%
210624.986559716 4
 
0.3%
209837.040687801 4
 
0.3%
Other values (1040) 1214
87.5%
(Missing) 124
 
8.9%
ValueCountFrequency (%)
161890.445582932 1
 
0.1%
163514.446318455 1
 
0.1%
164662.881212184 1
 
0.1%
164829.619839189 5
0.4%
165408.796992948 2
 
0.1%
166319.240727776 1
 
0.1%
166639.607209253 1
 
0.1%
166677.313331729 1
 
0.1%
166708.693536204 3
0.2%
166782.621344669 1
 
0.1%
ValueCountFrequency (%)
268881.646295796 1
 
0.1%
266597.907128802 1
 
0.1%
262192.208195115 1
 
0.1%
261296.012494396 1
 
0.1%
259193.620095457 1
 
0.1%
256240.063248575 1
 
0.1%
255826.10894267 3
0.2%
255347.857554031 1
 
0.1%
254731.360848532 1
 
0.1%
254328.918548537 1
 
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct1050
Distinct (%)83.1%
Missing124
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean438715.24
Minimum386957.44
Maximum509851.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:47.264661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum386957.44
5-th percentile398543.22
Q1420638.58
median434832.92
Q3460613.95
95-th percentile476900.27
Maximum509851.78
Range122894.34
Interquartile range (IQR)39975.362

Descriptive statistics

Standard deviation24505.301
Coefficient of variation (CV)0.055856962
Kurtosis-0.72479425
Mean438715.24
Median Absolute Deviation (MAD)16701.074
Skewness0.14747865
Sum5.5453607 × 108
Variance6.0050976 × 108
MonotonicityNot monotonic
2023-12-11T06:48:47.391074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
420300.76964871 7
 
0.5%
420732.841262258 6
 
0.4%
423519.906888729 6
 
0.4%
422143.413283603 5
 
0.4%
465327.769810206 5
 
0.4%
482972.281611837 5
 
0.4%
455305.290945764 4
 
0.3%
460080.234550772 4
 
0.3%
416943.748950275 4
 
0.3%
396042.351249915 4
 
0.3%
Other values (1040) 1214
87.5%
(Missing) 124
 
8.9%
ValueCountFrequency (%)
386957.435301385 1
0.1%
387391.99900962 1
0.1%
387632.108077604 1
0.1%
387646.071544417 1
0.1%
387657.0 1
0.1%
387673.399901758 1
0.1%
387807.978718087 1
0.1%
387820.334404206 1
0.1%
387899.027118312 1
0.1%
387947.419476183 1
0.1%
ValueCountFrequency (%)
509851.777006269 1
0.1%
505265.948069839 1
0.1%
501638.489385548 1
0.1%
493279.94962175 1
0.1%
492483.354149697 1
0.1%
492405.978971262 1
0.1%
490809.762858148 1
0.1%
490477.739037515 1
0.1%
490447.959501576 2
0.1%
490045.261177943 1
0.1%

의료기관종별명
Categorical

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
병원
468 
요양병원(일반요양병원)
456 
한방병원
230 
종합병원
75 
치과병원
60 
Other values (5)
99 

Length

Max length12
Median length10
Mean length6.082853
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row요양병원(일반요양병원)
2nd row요양병원(일반요양병원)
3rd row요양병원(일반요양병원)
4th row요양병원(일반요양병원)
5th row병원

Common Values

ValueCountFrequency (%)
병원 468
33.7%
요양병원(일반요양병원) 456
32.9%
한방병원 230
16.6%
종합병원 75
 
5.4%
치과병원 60
 
4.3%
정신병원 55
 
4.0%
요양병원(노인병원) 21
 
1.5%
<NA> 13
 
0.9%
요양병원(정신병원) 9
 
0.6%
한의원 1
 
0.1%

Length

2023-12-11T06:48:47.523561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:47.625628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 468
33.7%
요양병원(일반요양병원 456
32.9%
한방병원 230
16.6%
종합병원 75
 
5.4%
치과병원 60
 
4.3%
정신병원 55
 
4.0%
요양병원(노인병원 21
 
1.5%
na 13
 
0.9%
요양병원(정신병원 9
 
0.6%
한의원 1
 
0.1%

의료인수
Real number (ℝ)

Distinct162
Distinct (%)11.8%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean47.897455
Minimum0
Maximum3194
Zeros6
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:47.765071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median15
Q328
95-th percentile110.5
Maximum3194
Range3194
Interquartile range (IQR)21

Descriptive statistics

Standard deviation184.01412
Coefficient of variation (CV)3.841835
Kurtosis111.15952
Mean47.897455
Median Absolute Deviation (MAD)10
Skewness9.4173801
Sum65859
Variance33861.195
MonotonicityNot monotonic
2023-12-11T06:48:47.904181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 66
 
4.8%
3 65
 
4.7%
7 59
 
4.3%
5 58
 
4.2%
4 52
 
3.7%
2 50
 
3.6%
8 49
 
3.5%
10 48
 
3.5%
16 41
 
3.0%
11 41
 
3.0%
Other values (152) 846
61.0%
ValueCountFrequency (%)
0 6
 
0.4%
1 38
2.7%
2 50
3.6%
3 65
4.7%
4 52
3.7%
5 58
4.2%
6 66
4.8%
7 59
4.3%
8 49
3.5%
9 41
3.0%
ValueCountFrequency (%)
3194 1
0.1%
2435 1
0.1%
1848 1
0.1%
1603 1
0.1%
1599 1
0.1%
1561 1
0.1%
1536 1
0.1%
1367 1
0.1%
1252 1
0.1%
1207 1
0.1%

입원실수
Real number (ℝ)

ZEROS 

Distinct120
Distinct (%)8.7%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean29.676364
Minimum0
Maximum363
Zeros84
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:48.020740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median22
Q336
95-th percentile69.3
Maximum363
Range363
Interquartile range (IQR)22

Descriptive statistics

Standard deviation31.492091
Coefficient of variation (CV)1.0611843
Kurtosis26.368677
Mean29.676364
Median Absolute Deviation (MAD)10
Skewness4.2328999
Sum40805
Variance991.75181
MonotonicityNot monotonic
2023-12-11T06:48:48.132861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84
 
6.1%
14 55
 
4.0%
18 47
 
3.4%
17 46
 
3.3%
16 43
 
3.1%
15 41
 
3.0%
13 40
 
2.9%
11 39
 
2.8%
23 37
 
2.7%
21 37
 
2.7%
Other values (110) 906
65.3%
ValueCountFrequency (%)
0 84
6.1%
2 3
 
0.2%
3 2
 
0.1%
4 5
 
0.4%
5 10
 
0.7%
6 21
 
1.5%
7 19
 
1.4%
8 23
 
1.7%
9 23
 
1.7%
10 27
 
1.9%
ValueCountFrequency (%)
363 1
0.1%
287 1
0.1%
269 1
0.1%
250 1
0.1%
244 1
0.1%
239 1
0.1%
224 1
0.1%
213 1
0.1%
208 1
0.1%
207 1
0.1%

병상수
Real number (ℝ)

ZEROS 

Distinct297
Distinct (%)21.6%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean122.30182
Minimum0
Maximum1335
Zeros68
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:48.252769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q150
median89
Q3166
95-th percentile293.3
Maximum1335
Range1335
Interquartile range (IQR)116

Descriptive statistics

Standard deviation119.87795
Coefficient of variation (CV)0.98018127
Kurtosis21.077705
Mean122.30182
Median Absolute Deviation (MAD)47
Skewness3.5819294
Sum168165
Variance14370.723
MonotonicityNot monotonic
2023-12-11T06:48:48.376561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
 
4.9%
30 51
 
3.7%
50 26
 
1.9%
60 25
 
1.8%
99 24
 
1.7%
199 19
 
1.4%
40 18
 
1.3%
44 16
 
1.2%
51 15
 
1.1%
80 14
 
1.0%
Other values (287) 1099
79.2%
ValueCountFrequency (%)
0 68
4.9%
3 1
 
0.1%
5 2
 
0.1%
6 1
 
0.1%
17 1
 
0.1%
20 1
 
0.1%
21 1
 
0.1%
30 51
3.7%
31 11
 
0.8%
32 7
 
0.5%
ValueCountFrequency (%)
1335 1
0.1%
1161 1
0.1%
897 1
0.1%
881 1
0.1%
857 1
0.1%
850 1
0.1%
844 1
0.1%
833 1
0.1%
813 1
0.1%
800 1
0.1%

총면적
Real number (ℝ)

SKEWED 

Distinct1308
Distinct (%)95.1%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean14232.849
Minimum0
Maximum10871952
Zeros7
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T06:48:48.497784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile519.014
Q11453.295
median2449
Q34352.325
95-th percentile12440.245
Maximum10871952
Range10871952
Interquartile range (IQR)2899.03

Descriptive statistics

Standard deviation295433.77
Coefficient of variation (CV)20.757177
Kurtosis1330.7292
Mean14232.849
Median Absolute Deviation (MAD)1229.17
Skewness36.226129
Sum19570167
Variance8.7281114 × 1010
MonotonicityNot monotonic
2023-12-11T06:48:48.619819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
0.5%
909.36 4
 
0.3%
643.95 3
 
0.2%
2245.5 3
 
0.2%
1306.72 3
 
0.2%
4941.36 3
 
0.2%
1327.3 3
 
0.2%
1800.97 3
 
0.2%
2931.44 2
 
0.1%
1166.88 2
 
0.1%
Other values (1298) 1342
96.7%
(Missing) 13
 
0.9%
ValueCountFrequency (%)
0.0 7
0.5%
1.0 2
 
0.1%
72.6 1
 
0.1%
157.0 1
 
0.1%
192.41 1
 
0.1%
211.9 1
 
0.1%
226.0 1
 
0.1%
266.63 1
 
0.1%
280.71 1
 
0.1%
303.6 1
 
0.1%
ValueCountFrequency (%)
10871952.0 1
0.1%
999999.0 1
0.1%
868162.6 1
0.1%
175617.36 1
0.1%
174347.61 1
0.1%
150397.2 1
0.1%
112786.91 1
0.1%
109537.0 1
0.1%
105649.0 1
0.1%
105511.2 1
0.1%

진료과목내용
Text

Distinct1143
Distinct (%)83.1%
Missing13
Missing (%)0.9%
Memory size11.0 KiB
2023-12-11T06:48:48.787366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length107
Mean length31.561455
Min length3

Characters and Unicode

Total characters43397
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

Unique1052 ?
Unique (%)76.5%

Sample

1st row101 301
2nd row308 301 122 101
3rd row122
4th row301 110 109 104 101
5th row401 125 122 120 119 116 115 114 113 112 107 106 105 104 103 102 101
ValueCountFrequency (%)
101 1009
 
9.0%
122 724
 
6.5%
105 665
 
5.9%
301 619
 
5.5%
120 588
 
5.3%
104 584
 
5.2%
106 513
 
4.6%
308 487
 
4.4%
102 478
 
4.3%
306 383
 
3.4%
Other values (48) 5143
45.9%
2023-12-11T06:48:49.118216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 11743
27.1%
9818
22.6%
0 8393
19.3%
3 3927
 
9.0%
2 3300
 
7.6%
4 1831
 
4.2%
5 1377
 
3.2%
6 1327
 
3.1%
8 675
 
1.6%
9 535
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33579
77.4%
Space Separator 9818
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11743
35.0%
0 8393
25.0%
3 3927
 
11.7%
2 3300
 
9.8%
4 1831
 
5.5%
5 1377
 
4.1%
6 1327
 
4.0%
8 675
 
2.0%
9 535
 
1.6%
7 471
 
1.4%
Space Separator
ValueCountFrequency (%)
9818
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11743
27.1%
9818
22.6%
0 8393
19.3%
3 3927
 
9.0%
2 3300
 
7.6%
4 1831
 
4.2%
5 1377
 
3.2%
6 1327
 
3.1%
8 675
 
1.6%
9 535
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11743
27.1%
9818
22.6%
0 8393
19.3%
3 3927
 
9.0%
2 3300
 
7.6%
4 1831
 
4.2%
5 1377
 
3.2%
6 1327
 
3.1%
8 675
 
1.6%
9 535
 
1.2%

진료과목내용정보
Text

Distinct1071
Distinct (%)77.9%
Missing13
Missing (%)0.9%
Memory size11.0 KiB
2023-12-11T06:48:49.286029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length214
Median length147
Mean length51.843636
Min length2

Characters and Unicode

Total characters71285
Distinct characters74
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique963 ?
Unique (%)70.0%

Sample

1st row내과, 한방내과
2nd row내과, 가정의학과, 한방내과, 침구과
3rd row가정의학과
4th row내과, 외과, 마취통증의학과, 산부인과, 한방내과
5th row내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 흉부외과, 안과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 진단검사의학과, 재활의학과, 가정의학과, 응급의학과, 치과
ValueCountFrequency (%)
내과 1009
 
9.0%
가정의학과 724
 
6.5%
정형외과 665
 
5.9%
한방내과 619
 
5.5%
재활의학과 588
 
5.3%
외과 583
 
5.2%
신경외과 511
 
4.6%
침구과 487
 
4.4%
신경과 478
 
4.3%
한방재활의학과 383
 
3.4%
Other values (39) 5143
46.0%
2023-12-11T06:48:49.596007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 11401
16.0%
, 9815
13.8%
9815
13.8%
학 3280
 
4.6%
의 3253
 
4.6%
방 2375
 
3.3%
한 2300
 
3.2%
외 2004
 
2.8%
정 1980
 
2.8%
신 1827
 
2.6%
Other values (64) 23235
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51037
71.6%
Other Punctuation 10433
 
14.6%
Space Separator 9815
 
13.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 11401
22.3%
학 3280
 
6.4%
의 3253
 
6.4%
방 2375
 
4.7%
한 2300
 
4.5%
외 2004
 
3.9%
정 1980
 
3.9%
신 1827
 
3.6%
내 1664
 
3.3%
경 1353
 
2.7%
Other values (61) 19600
38.4%
Other Punctuation
ValueCountFrequency (%)
, 9815
94.1%
· 618
 
5.9%
Space Separator
ValueCountFrequency (%)
9815
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51037
71.6%
Common 20248
 
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 11401
22.3%
학 3280
 
6.4%
의 3253
 
6.4%
방 2375
 
4.7%
한 2300
 
4.5%
외 2004
 
3.9%
정 1980
 
3.9%
신 1827
 
3.6%
내 1664
 
3.3%
경 1353
 
2.7%
Other values (61) 19600
38.4%
Common
ValueCountFrequency (%)
, 9815
48.5%
9815
48.5%
· 618
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51037
71.6%
ASCII 19630
 
27.5%
None 618
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 11401
22.3%
학 3280
 
6.4%
의 3253
 
6.4%
방 2375
 
4.7%
한 2300
 
4.5%
외 2004
 
3.9%
정 1980
 
3.9%
신 1827
 
3.6%
내 1664
 
3.3%
경 1353
 
2.7%
Other values (61) 19600
38.4%
ASCII
ValueCountFrequency (%)
, 9815
50.0%
9815
50.0%
None
ValueCountFrequency (%)
· 618
100.0%

특수구급차대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
0
1375 
<NA>
 
13

Length

Max length4
Median length1
Mean length1.028098
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1375
99.1%
<NA> 13
 
0.9%

Length

2023-12-11T06:48:49.709364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:49.805414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1375
99.1%
na 13
 
0.9%

일반구급차대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
0
1375 
<NA>
 
13

Length

Max length4
Median length1
Mean length1.028098
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1375
99.1%
<NA> 13
 
0.9%

Length

2023-12-11T06:48:49.904254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:50.002221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1375
99.1%
na 13
 
0.9%

허가병상수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
0
1375 
<NA>
 
13

Length

Max length4
Median length1
Mean length1.028098
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1375
99.1%
<NA> 13
 
0.9%

Length

2023-12-11T06:48:50.093143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:50.185518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1375
99.1%
na 13
 
0.9%

Sample

시군명사업장명인허가일자소재지도로명주소소재지지번주소소재지우편번호위도경도인허가취소일자영업상태명폐업일자소재지시설전화번호소재지면적정보업태구분명정보X좌표값Y좌표값의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용정보특수구급차대수일반구급차대수허가병상수
0가평군가평산속요양병원20121008경기도 가평군 상면 대보간선로 889경기도 가평군 상면 항사리 2번지1244537.788938127.404382<NA>영업중<NA>031-584-8900<NA>요양병원(일반요양병원)235567.393608476288.241369요양병원(일반요양병원)644832250.0101 301내과, 한방내과000
1가평군가평푸른숲요양병원20170901경기도 가평군 상면 물골길 262-23경기도 가평군 상면 봉수리 49-4번지1244037.840847127.304209<NA>영업중<NA>1661-9099<NA>요양병원(일반요양병원)226637.772425482136.636251요양병원(일반요양병원)18771466883.0308 301 122 101내과, 가정의학과, 한방내과, 침구과000
2가평군감인노인전문병원20080715경기도 가평군 상면 물골길 262-23 (봉수리)경기도 가평군 상면 봉수리 49-41244037.840949127.303655<NA>폐업20090525031-584-4728<NA>요양병원(일반요양병원)<NA><NA>요양병원(일반요양병원)824681293.0122가정의학과000
3가평군강변요양병원2020-03-06경기도 가평군 가평읍 북한강변로 160경기도 가평군 가평읍 금대리 585번지1242837.747333127.525983<NA>영업중<NA>031-582-8858<NA>요양병원(일반요양병원)246280.626039471760.135363요양병원(일반요양병원)1040662992.56301 110 109 104 101내과, 외과, 마취통증의학과, 산부인과, 한방내과000
4가평군국군청평병원19940523경기도 가평군 청평면 경춘로 926경기도 가평군 청평면 청평리 567번지 21호 사서함1245237.743691127.429584<NA>폐업20170919031-584-1363<NA>병원<NA><NA>병원656350999999.0401 125 122 120 119 116 115 114 113 112 107 106 105 104 103 102 101내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 흉부외과, 안과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 진단검사의학과, 재활의학과, 가정의학과, 응급의학과, 치과000
5가평군노체리안드리자애병원19951218경기도 가평군 조종면 꽃동네길 46 (노체리안드리자애병원)경기도 가평군 조종면 하판리 540번지 2호1243237.884883127.351696<NA>영업중<NA>031-589-0301<NA>병원230939.074151487282.184524병원1612626511.34101 103 116 104내과, 정신건강의학과, 외과, 영상의학과000
6가평군에이치제이매그놀리아국제병원2003-05-17경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 460번지1246137.691127127.521381<NA>영업중<NA>031-589-430022941.69병원245936.683546465597.775884병원51369922941.69122 120 116 110 109 108 105 104 103 102 101내과, 신경과, 정신건강의학과, 외과, 정형외과, 성형외과, 마취통증의학과, 산부인과, 영상의학과, 재활의학과, 가정의학과000
7가평군에이치제이매그놀리아국제요양병원2003-05-18경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 460번지1246137.691127127.521381<NA>영업중<NA>031-589-43002021.64요양병원(일반요양병원)245936.683546465597.775884요양병원(일반요양병원)729622021.64308 307 306 305 304 303 302 301 113이비인후과, 한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과000
8가평군연제의료생활협동조합가평명인암노인전문병원20100622경기도 가평군 상면 물골길 262-23경기도 가평군 상면 봉수리 49번지 4호1244037.840949127.303655<NA>직권폐업20160323031-585-3372<NA>요양병원(노인병원)226637.772425482136.636251요양병원(노인병원)11401206335.6101 102 109 122 301한방내과, 가정의학과, 마취통증의학과, 신경과, 내과000
9가평군청평우리병원2005-02-15경기도 가평군 청평면 경춘로 791-11경기도 가평군 청평면 441번지 43호1245137.737418127.415741<NA>영업중<NA>031-585-51153928.48정신병원236548.369056470609.126516정신병원19492133928.48103정신건강의학과000
시군명사업장명인허가일자소재지도로명주소소재지지번주소소재지우편번호위도경도인허가취소일자영업상태명폐업일자소재지시설전화번호소재지면적정보업태구분명정보X좌표값Y좌표값의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용정보특수구급차대수일반구급차대수허가병상수
1378화성시한송한방병원2020-10-15경기도 화성시 남양읍 시청로160번길 46, 6,7층경기도 화성시 남양읍 남양리 2319-4번지 6,7층1827037.198816126.825648<NA>영업중<NA>031-366-7070<NA>한방병원184448.979371410786.684567한방병원411401548.3122 301 302 303 304 305 306 307 308가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과000
1379화성시호산나요양병원20130522경기도 화성시 송산면 사강로 161, 2~3층경기도 화성시 송산면 사강리 694번지 8호1855037.213195126.733949<NA>폐업20130816031-548-2345<NA>요양병원(일반요양병원)176316.768909412391.128458요양병원(일반요양병원)6111001148.64101 122 301 302 303 304 305 307 308 306한방재활의학과, 침구과, 사상체질과, 한방신경정신과, 한방안·이비인후·피부과, 한방소아과, 한방부인과, 한방내과, 가정의학과, 내과000
1380화성시화성디에스병원20190816경기도 화성시 남양읍 시청로160번길 46-13, 1,3~8층경기도 화성시 남양읍 남양리 2319번지 2호1827037.199231126.825712<NA>영업중<NA>1600-5982<NA>병원<NA><NA>병원1229983474.75125 124 122 120 119 116 115 114 113 111 110 109 107 106 105 104 102 101내과, 신경과, 외과, 정형외과, 신경외과, 흉부외과, 마취통증의학과, 산부인과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 진단검사의학과, 재활의학과, 가정의학과, 직업환경의학과, 응급의학과000
1381화성시화성성심요양병원20090904경기도 화성시 마도면 화성로 848-16경기도 화성시 마도면 두곡리 418-2번지1853737.204484126.782246<NA>폐업20110124366-7586<NA>요양병원(일반요양병원)<NA><NA>요양병원(일반요양병원)316892928.36101 122 111 113이비인후과, 소아청소년과, 가정의학과, 내과000
1382화성시화성유일병원2019-06-17경기도 화성시 남양읍 남양로920번길 6경기도 화성시 남양읍 북양리 691-1번지1825637.217785126.832659<NA>영업중<NA>031-355-011910594.57병원185071.748551412891.236742병원765111810594.57122 119 116 114 113 111 110 109 106 105 104 102 101내과, 신경과, 외과, 정형외과, 신경외과, 마취통증의학과, 산부인과, 소아청소년과, 이비인후과, 피부과, 영상의학과, 진단검사의학과, 가정의학과000
1383화성시화성제일요양병원20140521경기도 화성시 효행로 990, 2층,3층,5층 (진안동, 비젼월드)경기도 화성시 진안동 512번지 1호 2층, 3층 일부, 5층1840137.211213127.036367<NA>폐업20160526031-526-0030<NA>요양병원(일반요양병원)203164.820809412147.458999요양병원(일반요양병원)12161182105.59122 101 114 110 111 102 106 120 211 308침구과, 치과, 재활의학과, 신경외과, 신경과, 소아청소년과, 산부인과, 피부과, 내과, 가정의학과000
1384화성시화성제일한방병원20221025경기도 화성시 남양읍 남양로920번길 12, 4층경기도 화성시 남양읍 북양리 692-11825637.217753126.833369<NA>영업중<NA>031-8043-5541<NA>한방병원185138.493004412889.498467한방병원1412461233.88307 122 301 303 302 306 308 305 304가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과000
1385화성시화성한방병원2019-12-27경기도 화성시 향남읍 발안양감로 187, 4,5층경기도 화성시 향남읍 하길리 1465번지 2호1860637.116396126.910867<NA>영업중<NA>031-356-8275<NA>한방병원192012.658169401627.876324한방병원1223782323.6308 307 306 305 304 303 302 301 122가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과000
1386화성시화성해인요양병원2016-04-22경기도 화성시 매송면 화성로 2407-15경기도 화성시 매송면 원평리 50-13번지1828937.249533126.929407<NA>영업중<NA>031-291-8331<NA>요양병원(일반요양병원)<NA><NA>요양병원(일반요양병원)19582974950.54101 102 111 112 113 114 120 122 301 302 303 304 305 306 307 308내과, 신경과, 소아청소년과, 안과, 이비인후과, 피부과, 재활의학과, 가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과000
1387화성시희망찬병원20080905경기도 화성시 병점중앙로 174 (진안동)경기도 화성시 진안동 868-9번지1839937.213417127.037559<NA>영업중<NA>031-221-6999<NA>병원203321.78822412673.977618병원617814259.62101 102 105 106 116영상의학과, 신경외과, 정형외과, 신경과, 내과000