Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells119828
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 MiB
Average record size in memory316.0 B

Variable types

Categorical8
Text9
Unsupported9
DateTime1
Numeric9

Alerts

특수구급차대수 has constant value ""Constant
일반구급차대수 has constant value ""Constant
허가병상수 has constant value ""Constant
통합영업상태명 is highly imbalanced (56.4%)Imbalance
영업상태명 is highly imbalanced (60.6%)Imbalance
인허가취소일자 has 9877 (98.8%) missing valuesMissing
폐업일자 has 6807 (68.1%) missing valuesMissing
휴업시작일자 has 9911 (99.1%) missing valuesMissing
휴업종료일자 has 9911 (99.1%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지시설전화번호 has 433 (4.3%) missing valuesMissing
소재지면적정보 has 10000 (100.0%) missing valuesMissing
소재지도로명주소 has 201 (2.0%) missing valuesMissing
소재지우편번호 has 103 (1.0%) missing valuesMissing
위도 has 139 (1.4%) missing valuesMissing
경도 has 139 (1.4%) missing valuesMissing
X좌표값 has 1082 (10.8%) missing valuesMissing
Y좌표값 has 1082 (10.8%) missing valuesMissing
지정취소일자 has 10000 (100.0%) missing valuesMissing
완화의료지정형태 has 10000 (100.0%) missing valuesMissing
완화의료담당부서명 has 10000 (100.0%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
구조사수 has 10000 (100.0%) missing valuesMissing
최초지정일자 has 10000 (100.0%) missing valuesMissing
총면적 is highly skewed (γ1 = 53.89838693)Skewed
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의료인수 has 196 (2.0%) zerosZeros
입원실수 has 9102 (91.0%) zerosZeros
병상수 has 9023 (90.2%) zerosZeros
총면적 has 352 (3.5%) zerosZeros

Reproduction

Analysis started2023-12-10 22:04:45.647030
Analysis finished2023-12-10 22:04:48.037060
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성남시
1130 
수원시
936 
고양시
919 
용인시
716 
안양시
646 
Other values (27)
5653 

Length

Max length4
Median length3
Mean length3.0823
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주시
2nd row김포시
3rd row부천시
4th row안산시
5th row김포시

Common Values

ValueCountFrequency (%)
성남시 1130
 
11.3%
수원시 936
 
9.4%
고양시 919
 
9.2%
용인시 716
 
7.2%
안양시 646
 
6.5%
부천시 567
 
5.7%
안산시 537
 
5.4%
화성시 506
 
5.1%
남양주시 447
 
4.5%
평택시 373
 
3.7%
Other values (22) 3223
32.2%

Length

2023-12-11T07:04:48.098865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 1130
 
11.3%
수원시 936
 
9.4%
고양시 919
 
9.2%
용인시 716
 
7.2%
안양시 646
 
6.5%
부천시 567
 
5.7%
안산시 537
 
5.4%
화성시 506
 
5.1%
남양주시 447
 
4.5%
평택시 373
 
3.7%
Other values (22) 3223
32.2%
Distinct7017
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:04:48.386256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.5584
Min length8

Characters and Unicode

Total characters85584
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

Unique4874 ?
Unique (%)48.7%

Sample

1st row2017-11-08
2nd row2023-04-26
3rd row20150717
4th row20010404
5th row2020-03-10
ValueCountFrequency (%)
20120125 7
 
0.1%
19881108 7
 
0.1%
20090302 7
 
0.1%
20110831 6
 
0.1%
20170228 6
 
0.1%
20030124 6
 
0.1%
20140303 6
 
0.1%
20020319 6
 
0.1%
20110603 6
 
0.1%
20130102 6
 
0.1%
Other values (7007) 9937
99.4%
2023-12-11T07:04:48.919793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25408
29.7%
2 16275
19.0%
1 14273
16.7%
9 5974
 
7.0%
- 5584
 
6.5%
3 3824
 
4.5%
8 2975
 
3.5%
4 2947
 
3.4%
5 2837
 
3.3%
6 2792
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
93.5%
Dash Punctuation 5584
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25408
31.8%
2 16275
20.3%
1 14273
17.8%
9 5974
 
7.5%
3 3824
 
4.8%
8 2975
 
3.7%
4 2947
 
3.7%
5 2837
 
3.5%
6 2792
 
3.5%
7 2695
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 5584
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85584
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25408
29.7%
2 16275
19.0%
1 14273
16.7%
9 5974
 
7.0%
- 5584
 
6.5%
3 3824
 
4.5%
8 2975
 
3.5%
4 2947
 
3.4%
5 2837
 
3.3%
6 2792
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25408
29.7%
2 16275
19.0%
1 14273
16.7%
9 5974
 
7.0%
- 5584
 
6.5%
3 3824
 
4.5%
8 2975
 
3.5%
4 2947
 
3.4%
5 2837
 
3.3%
6 2792
 
3.3%
Distinct8076
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:04:49.169318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length7.6003
Min length2

Characters and Unicode

Total characters76003
Distinct characters715
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

Unique7063 ?
Unique (%)70.6%

Sample

1st row서울휴내과이비인후과의원
2nd row성모봄정신건강의학과의원
3rd row엘피스의원
4th row한빛소아과의원
5th row숨쉬는한의원
ValueCountFrequency (%)
치과의원 34
 
0.3%
의원 29
 
0.3%
한의원 28
 
0.3%
경희한의원 21
 
0.2%
우리치과의원 17
 
0.2%
서울치과의원 16
 
0.2%
두리이비인후과의원 14
 
0.1%
수치과의원 14
 
0.1%
연세치과의원 12
 
0.1%
한사랑의원 11
 
0.1%
Other values (8193) 10161
98.1%
2023-12-11T07:04:49.680764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10492
 
13.8%
10044
 
13.2%
6183
 
8.1%
2676
 
3.5%
2637
 
3.5%
1361
 
1.8%
1265
 
1.7%
1088
 
1.4%
990
 
1.3%
976
 
1.3%
Other values (705) 38291
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74893
98.5%
Space Separator 360
 
0.5%
Decimal Number 335
 
0.4%
Uppercase Letter 206
 
0.3%
Close Punctuation 55
 
0.1%
Open Punctuation 51
 
0.1%
Lowercase Letter 50
 
0.1%
Other Punctuation 31
 
< 0.1%
Dash Punctuation 19
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10492
 
14.0%
10044
 
13.4%
6183
 
8.3%
2676
 
3.6%
2637
 
3.5%
1361
 
1.8%
1265
 
1.7%
1088
 
1.5%
990
 
1.3%
976
 
1.3%
Other values (652) 37181
49.6%
Uppercase Letter
ValueCountFrequency (%)
S 30
14.6%
K 17
 
8.3%
O 16
 
7.8%
C 14
 
6.8%
M 13
 
6.3%
W 12
 
5.8%
E 12
 
5.8%
N 11
 
5.3%
U 11
 
5.3%
T 10
 
4.9%
Other values (12) 60
29.1%
Lowercase Letter
ValueCountFrequency (%)
e 33
66.0%
h 4
 
8.0%
i 3
 
6.0%
l 2
 
4.0%
a 2
 
4.0%
b 1
 
2.0%
r 1
 
2.0%
t 1
 
2.0%
m 1
 
2.0%
n 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
3 90
26.9%
5 85
25.4%
6 84
25.1%
1 30
 
9.0%
2 22
 
6.6%
0 12
 
3.6%
8 10
 
3.0%
4 1
 
0.3%
7 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 14
45.2%
. 7
22.6%
· 7
22.6%
, 2
 
6.5%
1
 
3.2%
Space Separator
ValueCountFrequency (%)
360
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74888
98.5%
Common 853
 
1.1%
Latin 257
 
0.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10492
 
14.0%
10044
 
13.4%
6183
 
8.3%
2676
 
3.6%
2637
 
3.5%
1361
 
1.8%
1265
 
1.7%
1088
 
1.5%
990
 
1.3%
976
 
1.3%
Other values (650) 37176
49.6%
Latin
ValueCountFrequency (%)
e 33
 
12.8%
S 30
 
11.7%
K 17
 
6.6%
O 16
 
6.2%
C 14
 
5.4%
M 13
 
5.1%
W 12
 
4.7%
E 12
 
4.7%
N 11
 
4.3%
U 11
 
4.3%
Other values (24) 88
34.2%
Common
ValueCountFrequency (%)
360
42.2%
3 90
 
10.6%
5 85
 
10.0%
6 84
 
9.8%
) 55
 
6.4%
( 51
 
6.0%
1 30
 
3.5%
2 22
 
2.6%
- 19
 
2.2%
& 14
 
1.6%
Other values (9) 43
 
5.0%
Han
ValueCountFrequency (%)
4
80.0%
1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74888
98.5%
ASCII 1101
 
1.4%
None 8
 
< 0.1%
CJK 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10492
 
14.0%
10044
 
13.4%
6183
 
8.3%
2676
 
3.6%
2637
 
3.5%
1361
 
1.8%
1265
 
1.7%
1088
 
1.5%
990
 
1.3%
976
 
1.3%
Other values (650) 37176
49.6%
ASCII
ValueCountFrequency (%)
360
32.7%
3 90
 
8.2%
5 85
 
7.7%
6 84
 
7.6%
) 55
 
5.0%
( 51
 
4.6%
e 33
 
3.0%
1 30
 
2.7%
S 30
 
2.7%
2 22
 
2.0%
Other values (40) 261
23.7%
None
ValueCountFrequency (%)
· 7
87.5%
1
 
12.5%
CJK
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9877
Missing (%)98.8%
Memory size156.2 KiB

통합영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
6713 
폐업
3154 
제외/삭제/전출
 
63
취소/말소/만료/정지/중지
 
53
휴업
 
17

Length

Max length14
Median length5
Mean length4.1153
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 6713
67.1%
폐업 3154
31.5%
제외/삭제/전출 63
 
0.6%
취소/말소/만료/정지/중지 53
 
0.5%
휴업 17
 
0.2%

Length

2023-12-11T07:04:49.841851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:49.940908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 6713
67.1%
폐업 3154
31.5%
제외/삭제/전출 63
 
0.6%
취소/말소/만료/정지/중지 53
 
0.5%
휴업 17
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
6713 
폐업
3154 
직권폐업
 
53
전출
 
46
휴업
 
17

Length

Max length4
Median length3
Mean length2.6819
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 6713
67.1%
폐업 3154
31.5%
직권폐업 53
 
0.5%
전출 46
 
0.5%
휴업 17
 
0.2%
삭제 17
 
0.2%

Length

2023-12-11T07:04:50.070558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:50.188712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 6713
67.1%
폐업 3154
31.5%
직권폐업 53
 
0.5%
전출 46
 
0.5%
휴업 17
 
0.2%
삭제 17
 
0.2%

폐업일자
Text

MISSING 

Distinct2354
Distinct (%)73.7%
Missing6807
Missing (%)68.1%
Memory size156.2 KiB
2023-12-11T07:04:50.459934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0858127
Min length8

Characters and Unicode

Total characters25818
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

Unique1759 ?
Unique (%)55.1%

Sample

1st row20150917
2nd row20140602
3rd row20210620
4th row20220608
5th row20030930
ValueCountFrequency (%)
20140602 7
 
0.2%
20140801 6
 
0.2%
20210430 6
 
0.2%
20090501 5
 
0.2%
20120229 5
 
0.2%
20100430 5
 
0.2%
20130401 5
 
0.2%
20120130 5
 
0.2%
20140430 5
 
0.2%
20111101 5
 
0.2%
Other values (2344) 3139
98.3%
2023-12-11T07:04:50.875862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8228
31.9%
2 5826
22.6%
1 5044
19.5%
3 1336
 
5.2%
9 1114
 
4.3%
8 838
 
3.2%
7 807
 
3.1%
4 801
 
3.1%
6 792
 
3.1%
5 756
 
2.9%
Other values (2) 276
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25542
98.9%
Dash Punctuation 274
 
1.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8228
32.2%
2 5826
22.8%
1 5044
19.7%
3 1336
 
5.2%
9 1114
 
4.4%
8 838
 
3.3%
7 807
 
3.2%
4 801
 
3.1%
6 792
 
3.1%
5 756
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25818
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8228
31.9%
2 5826
22.6%
1 5044
19.5%
3 1336
 
5.2%
9 1114
 
4.3%
8 838
 
3.2%
7 807
 
3.1%
4 801
 
3.1%
6 792
 
3.1%
5 756
 
2.9%
Other values (2) 276
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8228
31.9%
2 5826
22.6%
1 5044
19.5%
3 1336
 
5.2%
9 1114
 
4.3%
8 838
 
3.2%
7 807
 
3.1%
4 801
 
3.1%
6 792
 
3.1%
5 756
 
2.9%
Other values (2) 276
 
1.1%

휴업시작일자
Date

MISSING 

Distinct88
Distinct (%)98.9%
Missing9911
Missing (%)99.1%
Memory size156.2 KiB
Minimum2008-08-01 00:00:00
Maximum2023-11-15 00:00:00
2023-12-11T07:04:51.018112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:51.143778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Text

MISSING 

Distinct86
Distinct (%)96.6%
Missing9911
Missing (%)99.1%
Memory size156.2 KiB
2023-12-11T07:04:51.389987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.3370787
Min length8

Characters and Unicode

Total characters742
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

Unique84 ?
Unique (%)94.4%

Sample

1st row20150531
2nd row20131031
3rd row2024-05-15
4th row20231230
5th row20160511
ValueCountFrequency (%)
2023-12-31 3
 
3.4%
20121231 2
 
2.2%
20120120 1
 
1.1%
20140530 1
 
1.1%
20171231 1
 
1.1%
20110625 1
 
1.1%
20110821 1
 
1.1%
20220718 1
 
1.1%
2024-08-24 1
 
1.1%
20100119 1
 
1.1%
Other values (76) 76
85.4%
2023-12-11T07:04:51.861835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
25.6%
2 189
25.5%
1 153
20.6%
3 61
 
8.2%
- 30
 
4.0%
8 27
 
3.6%
9 24
 
3.2%
6 21
 
2.8%
4 19
 
2.6%
5 17
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 712
96.0%
Dash Punctuation 30
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
26.7%
2 189
26.5%
1 153
21.5%
3 61
 
8.6%
8 27
 
3.8%
9 24
 
3.4%
6 21
 
2.9%
4 19
 
2.7%
5 17
 
2.4%
7 11
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 742
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
25.6%
2 189
25.5%
1 153
20.6%
3 61
 
8.2%
- 30
 
4.0%
8 27
 
3.6%
9 24
 
3.2%
6 21
 
2.8%
4 19
 
2.6%
5 17
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
25.6%
2 189
25.5%
1 153
20.6%
3 61
 
8.2%
- 30
 
4.0%
8 27
 
3.6%
9 24
 
3.2%
6 21
 
2.8%
4 19
 
2.6%
5 17
 
2.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct9259
Distinct (%)96.8%
Missing433
Missing (%)4.3%
Memory size156.2 KiB
2023-12-11T07:04:52.130184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.487718
Min length3

Characters and Unicode

Total characters109903
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8975 ?
Unique (%)93.8%

Sample

1st row031-8027-2222
2nd row031-8048-9514
3rd row032-651-5200
4th row031-410-3316
5th row031-8049-0003
ValueCountFrequency (%)
031 181
 
1.8%
913 11
 
0.1%
918 11
 
0.1%
922 11
 
0.1%
975 10
 
0.1%
917 9
 
0.1%
919 8
 
0.1%
915 7
 
0.1%
912 7
 
0.1%
914 7
 
0.1%
Other values (9268) 9622
97.3%
2023-12-11T07:04:52.533476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 17261
15.7%
0 14729
13.4%
3 14039
12.8%
1 13406
12.2%
2 9350
8.5%
7 9069
8.3%
5 8793
8.0%
8 7566
6.9%
6 5220
 
4.7%
9 5144
 
4.7%
Other values (7) 5326
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92226
83.9%
Dash Punctuation 17261
 
15.7%
Space Separator 317
 
0.3%
Close Punctuation 44
 
< 0.1%
Math Symbol 29
 
< 0.1%
Other Punctuation 24
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14729
16.0%
3 14039
15.2%
1 13406
14.5%
2 9350
10.1%
7 9069
9.8%
5 8793
9.5%
8 7566
8.2%
6 5220
 
5.7%
9 5144
 
5.6%
4 4910
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 21
87.5%
. 3
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 17261
100.0%
Space Separator
ValueCountFrequency (%)
317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109903
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 17261
15.7%
0 14729
13.4%
3 14039
12.8%
1 13406
12.2%
2 9350
8.5%
7 9069
8.3%
5 8793
8.0%
8 7566
6.9%
6 5220
 
4.7%
9 5144
 
4.7%
Other values (7) 5326
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 17261
15.7%
0 14729
13.4%
3 14039
12.8%
1 13406
12.2%
2 9350
8.5%
7 9069
8.3%
5 8793
8.0%
8 7566
6.9%
6 5220
 
4.7%
9 5144
 
4.7%
Other values (7) 5326
 
4.8%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct9464
Distinct (%)96.6%
Missing201
Missing (%)2.0%
Memory size156.2 KiB
2023-12-11T07:04:52.858571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length64
Mean length33.827227
Min length15

Characters and Unicode

Total characters331473
Distinct characters632
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9165 ?
Unique (%)93.5%

Sample

1st row경기도 광주시 초월읍 경충대로 1083, SM플라자 3층
2nd row경기도 김포시 김포한강8로 386, 김포센트럴프라자2 303호 (구래동)
3rd row경기도 부천시 송내대로 43, 송내역상가동 2층 (송내동)
4th row경기도 안산시 단원구 광덕동로 53 (고잔동)
5th row경기도 김포시 김포한강4로 507, 계림엠스퀘어 5층 507호 (구래동)
ValueCountFrequency (%)
경기도 9795
 
14.2%
2층 1303
 
1.9%
성남시 1104
 
1.6%
3층 1033
 
1.5%
수원시 930
 
1.3%
고양시 879
 
1.3%
용인시 688
 
1.0%
분당구 637
 
0.9%
안양시 618
 
0.9%
부천시 566
 
0.8%
Other values (9040) 51352
74.5%
2023-12-11T07:04:53.384412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59163
 
17.8%
, 12296
 
3.7%
10726
 
3.2%
10363
 
3.1%
10287
 
3.1%
10236
 
3.1%
10116
 
3.1%
9684
 
2.9%
2 9481
 
2.9%
1 9435
 
2.8%
Other values (622) 179686
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182470
55.0%
Space Separator 59163
 
17.8%
Decimal Number 56575
 
17.1%
Other Punctuation 12401
 
3.7%
Open Punctuation 9057
 
2.7%
Close Punctuation 9057
 
2.7%
Dash Punctuation 1194
 
0.4%
Uppercase Letter 785
 
0.2%
Math Symbol 639
 
0.2%
Lowercase Letter 103
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10726
 
5.9%
10363
 
5.7%
10287
 
5.6%
10236
 
5.6%
10116
 
5.5%
9684
 
5.3%
5682
 
3.1%
5231
 
2.9%
4220
 
2.3%
3492
 
1.9%
Other values (553) 102433
56.1%
Uppercase Letter
ValueCountFrequency (%)
B 119
15.2%
A 106
13.5%
C 67
 
8.5%
I 53
 
6.8%
S 50
 
6.4%
T 41
 
5.2%
M 35
 
4.5%
E 28
 
3.6%
D 28
 
3.6%
R 27
 
3.4%
Other values (16) 231
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 35
34.0%
r 10
 
9.7%
o 9
 
8.7%
w 7
 
6.8%
t 7
 
6.8%
s 6
 
5.8%
a 4
 
3.9%
l 4
 
3.9%
i 4
 
3.9%
d 4
 
3.9%
Other values (5) 13
 
12.6%
Decimal Number
ValueCountFrequency (%)
2 9481
16.8%
1 9435
16.7%
0 8385
14.8%
3 8235
14.6%
4 5625
9.9%
5 4347
7.7%
6 3277
 
5.8%
7 2846
 
5.0%
8 2671
 
4.7%
9 2273
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 12296
99.2%
. 84
 
0.7%
· 8
 
0.1%
/ 6
 
< 0.1%
@ 5
 
< 0.1%
& 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 635
99.4%
2
 
0.3%
+ 1
 
0.2%
1
 
0.2%
Letter Number
ValueCountFrequency (%)
10
34.5%
9
31.0%
8
27.6%
2
 
6.9%
Space Separator
ValueCountFrequency (%)
59163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9057
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9057
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182469
55.0%
Common 148086
44.7%
Latin 917
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10726
 
5.9%
10363
 
5.7%
10287
 
5.6%
10236
 
5.6%
10116
 
5.5%
9684
 
5.3%
5682
 
3.1%
5231
 
2.9%
4220
 
2.3%
3492
 
1.9%
Other values (552) 102432
56.1%
Latin
ValueCountFrequency (%)
B 119
 
13.0%
A 106
 
11.6%
C 67
 
7.3%
I 53
 
5.8%
S 50
 
5.5%
T 41
 
4.5%
M 35
 
3.8%
e 35
 
3.8%
E 28
 
3.1%
D 28
 
3.1%
Other values (35) 355
38.7%
Common
ValueCountFrequency (%)
59163
40.0%
, 12296
 
8.3%
2 9481
 
6.4%
1 9435
 
6.4%
( 9057
 
6.1%
) 9057
 
6.1%
0 8385
 
5.7%
3 8235
 
5.6%
4 5625
 
3.8%
5 4347
 
2.9%
Other values (14) 13005
 
8.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182468
55.0%
ASCII 148963
44.9%
Number Forms 29
 
< 0.1%
None 8
 
< 0.1%
Math Operators 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59163
39.7%
, 12296
 
8.3%
2 9481
 
6.4%
1 9435
 
6.3%
( 9057
 
6.1%
) 9057
 
6.1%
0 8385
 
5.6%
3 8235
 
5.5%
4 5625
 
3.8%
5 4347
 
2.9%
Other values (52) 13882
 
9.3%
Hangul
ValueCountFrequency (%)
10726
 
5.9%
10363
 
5.7%
10287
 
5.6%
10236
 
5.6%
10116
 
5.5%
9684
 
5.3%
5682
 
3.1%
5231
 
2.9%
4220
 
2.3%
3492
 
1.9%
Other values (551) 102431
56.1%
Number Forms
ValueCountFrequency (%)
10
34.5%
9
31.0%
8
27.6%
2
 
6.9%
None
ValueCountFrequency (%)
· 8
100.0%
Math Operators
ValueCountFrequency (%)
2
66.7%
1
33.3%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct9402
Distinct (%)94.1%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T07:04:53.737464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length27.525068
Min length2

Characters and Unicode

Total characters275058
Distinct characters602
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8929 ?
Unique (%)89.4%

Sample

1st row경기도 광주시 초월읍 쌍동리 260-15번지 SM플라자 3층
2nd row경기도 김포시 구래동 6885-1 김포센트럴프라자2
3rd row경기도 부천시 송내동 632-4번지 송내역상가 2층
4th row경기도 안산시 단원구 고잔동 774-1
5th row경기도 김포시 구래동 6880번지 2호
ValueCountFrequency (%)
경기도 9787
 
16.3%
수원시 930
 
1.5%
성남시 907
 
1.5%
2층 788
 
1.3%
1호 765
 
1.3%
고양시 746
 
1.2%
용인시 712
 
1.2%
안양시 622
 
1.0%
부천시 567
 
0.9%
3층 536
 
0.9%
Other values (10188) 43654
72.7%
2023-12-11T07:04:54.226253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50410
 
18.3%
1 10513
 
3.8%
10276
 
3.7%
10205
 
3.7%
10180
 
3.7%
10024
 
3.6%
9892
 
3.6%
2 8305
 
3.0%
7787
 
2.8%
7480
 
2.7%
Other values (592) 139986
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160058
58.2%
Decimal Number 57314
 
20.8%
Space Separator 50410
 
18.3%
Dash Punctuation 3858
 
1.4%
Other Punctuation 1721
 
0.6%
Uppercase Letter 723
 
0.3%
Open Punctuation 282
 
0.1%
Close Punctuation 282
 
0.1%
Math Symbol 265
 
0.1%
Lowercase Letter 112
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10276
 
6.4%
10205
 
6.4%
10180
 
6.4%
10024
 
6.3%
9892
 
6.2%
7787
 
4.9%
7480
 
4.7%
6790
 
4.2%
5284
 
3.3%
3356
 
2.1%
Other values (519) 78784
49.2%
Uppercase Letter
ValueCountFrequency (%)
A 93
12.9%
B 81
 
11.2%
C 57
 
7.9%
I 55
 
7.6%
S 53
 
7.3%
T 38
 
5.3%
M 35
 
4.8%
E 31
 
4.3%
R 31
 
4.3%
D 27
 
3.7%
Other values (16) 222
30.7%
Lowercase Letter
ValueCountFrequency (%)
e 33
29.5%
l 11
 
9.8%
r 10
 
8.9%
o 9
 
8.0%
t 8
 
7.1%
w 7
 
6.2%
a 6
 
5.4%
s 5
 
4.5%
d 4
 
3.6%
i 4
 
3.6%
Other values (7) 15
13.4%
Decimal Number
ValueCountFrequency (%)
1 10513
18.3%
2 8305
14.5%
3 7392
12.9%
0 6855
12.0%
4 5691
9.9%
5 4714
8.2%
6 4021
 
7.0%
7 3662
 
6.4%
8 3317
 
5.8%
9 2844
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1371
79.7%
. 313
 
18.2%
@ 15
 
0.9%
/ 11
 
0.6%
· 9
 
0.5%
& 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 259
97.7%
2
 
0.8%
+ 2
 
0.8%
2
 
0.8%
Letter Number
ValueCountFrequency (%)
15
45.5%
9
27.3%
8
24.2%
1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 281
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 281
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
50410
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3858
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160057
58.2%
Common 114132
41.5%
Latin 868
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10276
 
6.4%
10205
 
6.4%
10180
 
6.4%
10024
 
6.3%
9892
 
6.2%
7787
 
4.9%
7480
 
4.7%
6790
 
4.2%
5284
 
3.3%
3356
 
2.1%
Other values (518) 78783
49.2%
Latin
ValueCountFrequency (%)
A 93
 
10.7%
B 81
 
9.3%
C 57
 
6.6%
I 55
 
6.3%
S 53
 
6.1%
T 38
 
4.4%
M 35
 
4.0%
e 33
 
3.8%
E 31
 
3.6%
R 31
 
3.6%
Other values (37) 361
41.6%
Common
ValueCountFrequency (%)
50410
44.2%
1 10513
 
9.2%
2 8305
 
7.3%
3 7392
 
6.5%
0 6855
 
6.0%
4 5691
 
5.0%
5 4714
 
4.1%
6 4021
 
3.5%
- 3858
 
3.4%
7 3662
 
3.2%
Other values (16) 8711
 
7.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160056
58.2%
ASCII 114954
41.8%
Number Forms 33
 
< 0.1%
None 9
 
< 0.1%
Math Operators 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50410
43.9%
1 10513
 
9.1%
2 8305
 
7.2%
3 7392
 
6.4%
0 6855
 
6.0%
4 5691
 
5.0%
5 4714
 
4.1%
6 4021
 
3.5%
- 3858
 
3.4%
7 3662
 
3.2%
Other values (56) 9533
 
8.3%
Hangul
ValueCountFrequency (%)
10276
 
6.4%
10205
 
6.4%
10180
 
6.4%
10024
 
6.3%
9892
 
6.2%
7787
 
4.9%
7480
 
4.7%
6790
 
4.2%
5284
 
3.3%
3356
 
2.1%
Other values (517) 78782
49.2%
Number Forms
ValueCountFrequency (%)
15
45.5%
9
27.3%
8
24.2%
1
 
3.0%
None
ValueCountFrequency (%)
· 9
100.0%
Math Operators
ValueCountFrequency (%)
2
50.0%
2
50.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct2277
Distinct (%)23.0%
Missing103
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean14222.387
Minimum3151
Maximum21344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:54.366684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3151
5-th percentile10359
Q112179
median14072
Q316459
95-th percentile18244
Maximum21344
Range18193
Interquartile range (IQR)4280

Descriptive statistics

Standard deviation2472.4286
Coefficient of variation (CV)0.17384062
Kurtosis-1.0252039
Mean14222.387
Median Absolute Deviation (MAD)2151
Skewness-0.027229978
Sum1.4075896 × 108
Variance6112903.1
MonotonicityNot monotonic
2023-12-11T07:04:54.518312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 76
 
0.8%
14072 76
 
0.8%
10386 63
 
0.6%
13591 55
 
0.5%
13558 45
 
0.4%
10414 43
 
0.4%
10500 42
 
0.4%
14001 42
 
0.4%
13618 38
 
0.4%
13506 37
 
0.4%
Other values (2267) 9380
93.8%
(Missing) 103
 
1.0%
ValueCountFrequency (%)
3151 1
 
< 0.1%
5680 1
 
< 0.1%
6015 1
 
< 0.1%
10000 1
 
< 0.1%
10005 1
 
< 0.1%
10011 8
0.1%
10012 1
 
< 0.1%
10017 1
 
< 0.1%
10018 6
0.1%
10019 5
0.1%
ValueCountFrequency (%)
21344 1
 
< 0.1%
18623 1
 
< 0.1%
18617 1
 
< 0.1%
18616 2
 
< 0.1%
18611 7
0.1%
18606 5
 
0.1%
18603 3
 
< 0.1%
18602 1
 
< 0.1%
18600 13
0.1%
18598 5
 
0.1%

위도
Real number (ℝ)

MISSING 

Distinct7172
Distinct (%)72.7%
Missing139
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean37.432268
Minimum36.916756
Maximum38.185741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:54.672463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.916756
5-th percentile37.115776
Q137.296147
median37.396689
Q337.604505
95-th percentile37.750404
Maximum38.185741
Range1.2689857
Interquartile range (IQR)0.30835838

Descriptive statistics

Standard deviation0.2010832
Coefficient of variation (CV)0.0053719214
Kurtosis-0.091645106
Mean37.432268
Median Absolute Deviation (MAD)0.12094164
Skewness0.2318258
Sum369119.59
Variance0.040434453
MonotonicityNot monotonic
2023-12-11T07:04:54.852376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3895629286 13
 
0.1%
37.5051300224 11
 
0.1%
37.6701848 10
 
0.1%
37.4734793704 10
 
0.1%
37.2022258061 9
 
0.1%
37.6582698 9
 
0.1%
37.2681702029 9
 
0.1%
37.3449788088 9
 
0.1%
37.2451623291 9
 
0.1%
37.3496338389 9
 
0.1%
Other values (7162) 9763
97.6%
(Missing) 139
 
1.4%
ValueCountFrequency (%)
36.9167556 1
< 0.1%
36.9350622 1
< 0.1%
36.9429476 1
< 0.1%
36.9447811 1
< 0.1%
36.9508092647 1
< 0.1%
36.9519452 1
< 0.1%
36.960696251 1
< 0.1%
36.9611007482 1
< 0.1%
36.961334689 1
< 0.1%
36.9614182 1
< 0.1%
ValueCountFrequency (%)
38.1857413 1
< 0.1%
38.1841297682 1
< 0.1%
38.1566298 1
< 0.1%
38.1259785955 1
< 0.1%
38.1167698 1
< 0.1%
38.1016023516 1
< 0.1%
38.1015775 1
< 0.1%
38.0909716799 1
< 0.1%
38.0905299271 1
< 0.1%
38.0904627858 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct7170
Distinct (%)72.7%
Missing139
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean127.00297
Minimum126.5379
Maximum127.77059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:55.047107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5379
5-th percentile126.74751
Q1126.83894
median127.03141
Q3127.11993
95-th percentile127.27057
Maximum127.77059
Range1.2326913
Interquartile range (IQR)0.28098445

Descriptive statistics

Standard deviation0.18374458
Coefficient of variation (CV)0.0014467739
Kurtosis0.70378129
Mean127.00297
Median Absolute Deviation (MAD)0.1132379
Skewness0.48642442
Sum1252376.3
Variance0.033762071
MonotonicityNot monotonic
2023-12-11T07:04:55.204892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9522508622 13
 
0.1%
126.7537281611 11
 
0.1%
126.761909 10
 
0.1%
127.1426886465 10
 
0.1%
127.0558002667 9
 
0.1%
127.1095620163 9
 
0.1%
126.7384940896 9
 
0.1%
127.0003323008 9
 
0.1%
126.7733483 9
 
0.1%
127.0979268967 9
 
0.1%
Other values (7160) 9763
97.6%
(Missing) 139
 
1.4%
ValueCountFrequency (%)
126.5379025 1
 
< 0.1%
126.5532656671 1
 
< 0.1%
126.5582845 1
 
< 0.1%
126.5824782 1
 
< 0.1%
126.5838642 3
< 0.1%
126.5843385 1
 
< 0.1%
126.5843682181 1
 
< 0.1%
126.5852196596 1
 
< 0.1%
126.5856595 3
< 0.1%
126.5877251202 1
 
< 0.1%
ValueCountFrequency (%)
127.7705938 1
< 0.1%
127.7615909 1
< 0.1%
127.7534805079 1
< 0.1%
127.7534583305 1
< 0.1%
127.7525443 1
< 0.1%
127.7522935 1
< 0.1%
127.7107605 1
< 0.1%
127.6852429 1
< 0.1%
127.6810723 1
< 0.1%
127.6805804 1
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의원
5159 
치과의원
2545 
한의원
2136 
보건진료소
 
78
보건지소
 
56
Other values (3)
 
26

Length

Max length5
Median length2
Mean length2.76
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row의원
2nd row의원
3rd row의원
4th row의원
5th row한의원

Common Values

ValueCountFrequency (%)
의원 5159
51.6%
치과의원 2545
25.4%
한의원 2136
21.4%
보건진료소 78
 
0.8%
보건지소 56
 
0.6%
보건소 18
 
0.2%
조산원 7
 
0.1%
보건의료원 1
 
< 0.1%

Length

2023-12-11T07:04:55.359894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:55.475056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 5159
51.6%
치과의원 2545
25.4%
한의원 2136
21.4%
보건진료소 78
 
0.8%
보건지소 56
 
0.6%
보건소 18
 
0.2%
조산원 7
 
0.1%
보건의료원 1
 
< 0.1%

X좌표값
Real number (ℝ)

MISSING 

Distinct6143
Distinct (%)68.9%
Missing1082
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean200452.27
Minimum159211.21
Maximum268114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:55.592143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159211.21
5-th percentile177713.91
Q1185684.76
median203141
Q3210809.86
95-th percentile225468.22
Maximum268114
Range108902.79
Interquartile range (IQR)25125.099

Descriptive statistics

Standard deviation16395.466
Coefficient of variation (CV)0.081792365
Kurtosis0.65924262
Mean200452.27
Median Absolute Deviation (MAD)10071.029
Skewness0.47728505
Sum1.7876334 × 109
Variance2.6881129 × 108
MonotonicityNot monotonic
2023-12-11T07:04:55.782598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178929.113234693 13
 
0.1%
209634.838106536 13
 
0.1%
212436.806894826 13
 
0.1%
209470.026848433 12
 
0.1%
195699.810857031 12
 
0.1%
210949.963980464 11
 
0.1%
179935.267998763 10
 
0.1%
209631.922552668 10
 
0.1%
211425.537822823 10
 
0.1%
178156.560320666 10
 
0.1%
Other values (6133) 8804
88.0%
(Missing) 1082
 
10.8%
ValueCountFrequency (%)
159211.214570832 1
< 0.1%
160522.185141903 1
< 0.1%
160961.610759133 1
< 0.1%
163053.681845678 1
< 0.1%
163088.213637423 1
< 0.1%
163129.803916163 1
< 0.1%
163169.203720528 2
< 0.1%
163210.978757893 2
< 0.1%
163254.02975248 1
< 0.1%
163570.959939274 1
< 0.1%
ValueCountFrequency (%)
268114.0 1
< 0.1%
267208.0 1
< 0.1%
266622.754816007 2
< 0.1%
266548.332839662 1
< 0.1%
266528.869412265 1
< 0.1%
262739.343673043 1
< 0.1%
260581.433817813 1
< 0.1%
260271.284147 1
< 0.1%
259078.773067528 1
< 0.1%
258786.662847 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct6150
Distinct (%)69.0%
Missing1082
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean436931.83
Minimum379526
Maximum560834.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:55.945365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379526
5-th percentile401853.74
Q1421565.78
median432857.59
Q3455837.52
95-th percentile472188.68
Maximum560834.91
Range181308.91
Interquartile range (IQR)34271.744

Descriptive statistics

Standard deviation22547.173
Coefficient of variation (CV)0.051603412
Kurtosis0.061299173
Mean436931.83
Median Absolute Deviation (MAD)13617.647
Skewness0.27420297
Sum3.896558 × 109
Variance5.0837502 × 108
MonotonicityNot monotonic
2023-12-11T07:04:56.072704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455486.121537601 13
 
0.1%
427516.500850969 13
 
0.1%
463124.445219153 13
 
0.1%
429256.842280568 12
 
0.1%
431940.939380375 12
 
0.1%
431751.498436362 11
 
0.1%
434474.106083114 10
 
0.1%
461800.124782342 10
 
0.1%
427654.857610022 10
 
0.1%
444798.495006961 10
 
0.1%
Other values (6140) 8804
88.0%
(Missing) 1082
 
10.8%
ValueCountFrequency (%)
379526.0 1
< 0.1%
381528.0 1
< 0.1%
382416.0 1
< 0.1%
382588.538658798 1
< 0.1%
383278.930239263 1
< 0.1%
383385.094884193 1
< 0.1%
384392.485889433 1
< 0.1%
384417.302185353 1
< 0.1%
384434.40096655 1
< 0.1%
384465.069362565 1
< 0.1%
ValueCountFrequency (%)
560834.907896845 2
< 0.1%
520327.918329821 1
< 0.1%
520134.799329482 1
< 0.1%
517118.586609073 1
< 0.1%
513719.499465783 1
< 0.1%
512959.941852 1
< 0.1%
510983.168076568 1
< 0.1%
510983.037996204 1
< 0.1%
509838.834134978 1
< 0.1%
509788.740218872 1
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의원
5159 
치과의원
2545 
한의원
2136 
보건진료소
 
78
보건지소
 
56
Other values (3)
 
26

Length

Max length5
Median length2
Mean length2.76
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row의원
2nd row의원
3rd row의원
4th row의원
5th row한의원

Common Values

ValueCountFrequency (%)
의원 5159
51.6%
치과의원 2545
25.4%
한의원 2136
21.4%
보건진료소 78
 
0.8%
보건지소 56
 
0.6%
보건소 18
 
0.2%
조산원 7
 
0.1%
보건의료원 1
 
< 0.1%

Length

2023-12-11T07:04:56.476933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:56.573969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 5159
51.6%
치과의원 2545
25.4%
한의원 2136
21.4%
보건진료소 78
 
0.8%
보건지소 56
 
0.6%
보건소 18
 
0.2%
조산원 7
 
0.1%
보건의료원 1
 
< 0.1%

의료인수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5467
Minimum0
Maximum75
Zeros196
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:56.688607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.14967
Coefficient of variation (CV)1.3898429
Kurtosis291.21856
Mean1.5467
Median Absolute Deviation (MAD)0
Skewness13.442296
Sum15467
Variance4.6210812
MonotonicityNot monotonic
2023-12-11T07:04:56.804366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 7341
73.4%
2 1497
 
15.0%
3 478
 
4.8%
0 196
 
2.0%
4 182
 
1.8%
5 89
 
0.9%
6 51
 
0.5%
7 33
 
0.3%
8 28
 
0.3%
9 16
 
0.2%
Other values (27) 89
 
0.9%
ValueCountFrequency (%)
0 196
 
2.0%
1 7341
73.4%
2 1497
 
15.0%
3 478
 
4.8%
4 182
 
1.8%
5 89
 
0.9%
6 51
 
0.5%
7 33
 
0.3%
8 28
 
0.3%
9 16
 
0.2%
ValueCountFrequency (%)
75 1
< 0.1%
52 1
< 0.1%
50 1
< 0.1%
49 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
34 1
< 0.1%
32 1
< 0.1%
30 1
< 0.1%

입원실수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4678
Minimum0
Maximum29
Zeros9102
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:56.921381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8923322
Coefficient of variation (CV)4.0451736
Kurtosis35.44203
Mean0.4678
Median Absolute Deviation (MAD)0
Skewness5.2851036
Sum4678
Variance3.5809213
MonotonicityNot monotonic
2023-12-11T07:04:57.035626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 9102
91.0%
1 201
 
2.0%
2 98
 
1.0%
7 93
 
0.9%
6 88
 
0.9%
5 71
 
0.7%
8 65
 
0.7%
3 63
 
0.6%
9 60
 
0.6%
4 59
 
0.6%
Other values (15) 100
 
1.0%
ValueCountFrequency (%)
0 9102
91.0%
1 201
 
2.0%
2 98
 
1.0%
3 63
 
0.6%
4 59
 
0.6%
5 71
 
0.7%
6 88
 
0.9%
7 93
 
0.9%
8 65
 
0.7%
9 60
 
0.6%
ValueCountFrequency (%)
29 1
 
< 0.1%
26 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
20 3
< 0.1%
19 2
 
< 0.1%
18 3
< 0.1%
17 4
< 0.1%
16 3
< 0.1%
15 5
0.1%

병상수
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3752
Minimum0
Maximum54
Zeros9023
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:57.169131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6368256
Coefficient of variation (CV)4.0989133
Kurtosis24.745175
Mean1.3752
Median Absolute Deviation (MAD)0
Skewness4.8035232
Sum13752
Variance31.773802
MonotonicityNot monotonic
2023-12-11T07:04:57.280933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 9023
90.2%
1 141
 
1.4%
29 134
 
1.3%
2 98
 
1.0%
3 56
 
0.6%
4 45
 
0.4%
10 44
 
0.4%
28 34
 
0.3%
20 31
 
0.3%
5 31
 
0.3%
Other values (30) 363
 
3.6%
ValueCountFrequency (%)
0 9023
90.2%
1 141
 
1.4%
2 98
 
1.0%
3 56
 
0.6%
4 45
 
0.4%
5 31
 
0.3%
6 27
 
0.3%
7 17
 
0.2%
8 16
 
0.2%
9 26
 
0.3%
ValueCountFrequency (%)
54 1
 
< 0.1%
52 1
 
< 0.1%
49 16
0.2%
48 2
 
< 0.1%
46 3
 
< 0.1%
45 2
 
< 0.1%
44 2
 
< 0.1%
43 1
 
< 0.1%
38 1
 
< 0.1%
36 1
 
< 0.1%

총면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct6771
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269.31537
Minimum0
Maximum148026
Zeros352
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:04:57.388385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q1102.7525
median148.5
Q3237.03
95-th percentile579.0325
Maximum148026
Range148026
Interquartile range (IQR)134.2775

Descriptive statistics

Standard deviation2369.501
Coefficient of variation (CV)8.7982393
Kurtosis3148.7873
Mean269.31537
Median Absolute Deviation (MAD)55.74
Skewness53.898387
Sum2693153.7
Variance5614535.2
MonotonicityNot monotonic
2023-12-11T07:04:57.498851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 352
 
3.5%
1.0 40
 
0.4%
132.0 39
 
0.4%
99.0 38
 
0.4%
165.0 22
 
0.2%
100.0 21
 
0.2%
180.0 20
 
0.2%
126.0 20
 
0.2%
140.0 19
 
0.2%
135.0 18
 
0.2%
Other values (6761) 9411
94.1%
ValueCountFrequency (%)
0.0 352
3.5%
1.0 40
 
0.4%
9.55 1
 
< 0.1%
10.03 1
 
< 0.1%
11.22 1
 
< 0.1%
12.16 1
 
< 0.1%
12.4 1
 
< 0.1%
14.3 1
 
< 0.1%
14.34 1
 
< 0.1%
14.62 1
 
< 0.1%
ValueCountFrequency (%)
148026.0 1
< 0.1%
146305.0 1
< 0.1%
83767.0 1
< 0.1%
58056.0 1
< 0.1%
35223.0 1
< 0.1%
18644.0 1
< 0.1%
8533.0 1
< 0.1%
7995.88 1
< 0.1%
7712.0 1
< 0.1%
7329.0 1
< 0.1%
Distinct2776
Distinct (%)28.0%
Missing68
Missing (%)0.7%
Memory size156.2 KiB
2023-12-11T07:04:57.677526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length91
Mean length18.158578
Min length3

Characters and Unicode

Total characters180351
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2249 ?
Unique (%)22.6%

Sample

1st row101 108 110 111 113 114 115
2nd row103
3rd row101 122 114 115 118
4th row101
5th row308 307 306 305 304 303 302 301
ValueCountFrequency (%)
101 3259
 
6.9%
111 2524
 
5.3%
114 2427
 
5.1%
301 2086
 
4.4%
302 1939
 
4.1%
303 1921
 
4.0%
308 1880
 
4.0%
113 1878
 
3.9%
304 1862
 
3.9%
305 1803
 
3.8%
Other values (72) 25988
54.6%
2023-12-11T07:04:58.012844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 42378
23.5%
37641
20.9%
0 36142
20.0%
3 20173
11.2%
4 16795
 
9.3%
2 9330
 
5.2%
5 5638
 
3.1%
6 3995
 
2.2%
8 3543
 
2.0%
7 2774
 
1.5%
Other values (4) 1942
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 142704
79.1%
Space Separator 37641
 
20.9%
Other Letter 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42378
29.7%
0 36142
25.3%
3 20173
14.1%
4 16795
 
11.8%
2 9330
 
6.5%
5 5638
 
4.0%
6 3995
 
2.8%
8 3543
 
2.5%
7 2774
 
1.9%
9 1936
 
1.4%
Other Letter
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
37641
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180347
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 42378
23.5%
37641
20.9%
0 36142
20.0%
3 20173
11.2%
4 16795
 
9.3%
2 9330
 
5.2%
5 5638
 
3.1%
6 3995
 
2.2%
8 3543
 
2.0%
7 2774
 
1.5%
Other values (2) 1938
 
1.1%
Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180347
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 42378
23.5%
37641
20.9%
0 36142
20.0%
3 20173
11.2%
4 16795
 
9.3%
2 9330
 
5.2%
5 5638
 
3.1%
6 3995
 
2.2%
8 3543
 
2.0%
7 2774
 
1.5%
Other values (2) 1938
 
1.1%
Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct2328
Distinct (%)23.4%
Missing68
Missing (%)0.7%
Memory size156.2 KiB
2023-12-11T07:04:58.187624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length172
Median length134
Mean length30.372735
Min length2

Characters and Unicode

Total characters301662
Distinct characters78
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

Unique1785 ?
Unique (%)18.0%

Sample

1st row내과, 성형외과, 산부인과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과
2nd row정신건강의학과
3rd row내과, 피부과, 비뇨의학과, 병리과, 가정의학과
4th row내과
5th row한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
ValueCountFrequency (%)
내과 3254
 
6.8%
소아청소년과 2524
 
5.3%
피부과 2427
 
5.1%
한방내과 2086
 
4.4%
한방부인과 1939
 
4.1%
한방소아과 1921
 
4.0%
침구과 1880
 
4.0%
이비인후과 1878
 
4.0%
한방안·이비인후·피부과 1862
 
3.9%
한방신경정신과 1803
 
3.8%
Other values (43) 25947
54.6%
2023-12-11T07:04:58.506375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50685
16.8%
, 37589
 
12.5%
37589
 
12.5%
12637
 
4.2%
11438
 
3.8%
9157
 
3.0%
8122
 
2.7%
7410
 
2.5%
7389
 
2.4%
6818
 
2.3%
Other values (68) 112828
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222760
73.8%
Other Punctuation 41313
 
13.7%
Space Separator 37589
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50685
22.8%
12637
 
5.7%
11438
 
5.1%
9157
 
4.1%
8122
 
3.6%
7410
 
3.3%
7389
 
3.3%
6818
 
3.1%
6370
 
2.9%
6180
 
2.8%
Other values (65) 96554
43.3%
Other Punctuation
ValueCountFrequency (%)
, 37589
91.0%
· 3724
 
9.0%
Space Separator
ValueCountFrequency (%)
37589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222760
73.8%
Common 78902
 
26.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50685
22.8%
12637
 
5.7%
11438
 
5.1%
9157
 
4.1%
8122
 
3.6%
7410
 
3.3%
7389
 
3.3%
6818
 
3.1%
6370
 
2.9%
6180
 
2.8%
Other values (65) 96554
43.3%
Common
ValueCountFrequency (%)
, 37589
47.6%
37589
47.6%
· 3724
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222760
73.8%
ASCII 75178
 
24.9%
None 3724
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50685
22.8%
12637
 
5.7%
11438
 
5.1%
9157
 
4.1%
8122
 
3.6%
7410
 
3.3%
7389
 
3.3%
6818
 
3.1%
6370
 
2.9%
6180
 
2.8%
Other values (65) 96554
43.3%
ASCII
ValueCountFrequency (%)
, 37589
50.0%
37589
50.0%
None
ValueCountFrequency (%)
· 3724
100.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

특수구급차대수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-11T07:04:58.615343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:58.682236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

일반구급차대수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-11T07:04:58.755674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:58.827998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-11T07:04:58.903286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:58.970837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용정보지정취소일자완화의료지정형태완화의료담당부서명특수구급차대수일반구급차대수총종업원수구조사수허가병상수최초지정일자
3288광주시2017-11-08서울휴내과이비인후과의원NaN영업/정상영업중<NA><NA><NA><NA>031-8027-2222<NA>경기도 광주시 초월읍 경충대로 1083, SM플라자 3층경기도 광주시 초월읍 쌍동리 260-15번지 SM플라자 3층1273637.373784127.297637의원226293.200205430232.861964의원300432.07101 108 110 111 113 114 115내과, 성형외과, 산부인과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과<NA><NA><NA>00<NA><NA>0<NA>
4893김포시2023-04-26성모봄정신건강의학과의원NaN영업/정상영업중<NA><NA><NA><NA>031-8048-9514<NA>경기도 김포시 김포한강8로 386, 김포센트럴프라자2 303호 (구래동)경기도 김포시 구래동 6885-1 김포센트럴프라자21007137.643502126.6262의원166944.535484460193.051113의원100168.52103정신건강의학과<NA><NA><NA>00<NA><NA>0<NA>
7288부천시20150717엘피스의원NaN폐업폐업20150917<NA><NA><NA>032-651-5200<NA>경기도 부천시 송내대로 43, 송내역상가동 2층 (송내동)경기도 부천시 송내동 632-4번지 송내역상가 2층1474237.487905126.747718의원177623.88755442896.240785의원100135.0101 122 114 115 118내과, 피부과, 비뇨의학과, 병리과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
14977안산시20010404한빛소아과의원NaN폐업폐업20140602<NA><NA><NA>031-410-3316<NA>경기도 안산시 단원구 광덕동로 53 (고잔동)경기도 안산시 단원구 고잔동 774-11547737.309063126.832247의원185079.0423038.0의원20033.7101내과<NA><NA><NA>00<NA><NA>0<NA>
4920김포시2020-03-10숨쉬는한의원NaN영업/정상영업중<NA><NA><NA><NA>031-8049-0003<NA>경기도 김포시 김포한강4로 507, 계림엠스퀘어 5층 507호 (구래동)경기도 김포시 구래동 6880번지 2호1007137.646116126.627529한의원167059.988548460482.210465한의원100243.0308 307 306 305 304 303 302 301한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
17562여주시19981021여주의원21세기NaN영업/정상영업중<NA><NA><NA><NA>031-881-1191<NA>경기도 여주시 세종로45번길 3, 1층 (홍문동)경기도 여주시 홍문동 197-11262837.293817127.636451의원256364.050444421506.480463의원100125.49101 111 104 114 115 113 122내과, 외과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
17452여주시20180209경락한의원NaN영업/정상영업중<NA><NA><NA><NA>031-881-0877<NA>경기도 여주시 청심로132번길 16 (하동)경기도 여주시 하동 272번지1262237.297146127.634155한의원256227.993621422178.434006한의원10095.78301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
13624시흥시20130627이바로치과교정과치과의원NaN영업/정상영업중<NA><NA><NA><NA>031-315-2885<NA>경기도 시흥시 은계번영길 9, 골드웨이Ⅰ 7층 713~716호 (은행동)경기도 시흥시 은행동 646-4 골드웨이Ⅰ1492237.437524126.801639치과의원<NA><NA>치과의원100251.85411 410 409 408 407 406 405 404 403 402구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
3583구리시20070409구리항외과의원NaN폐업폐업20210620<NA><NA><NA>031-569-8575<NA>경기도 구리시 경춘로 239, 6층 601-3호 (인창동, 리맥스빌딩)경기도 구리시 인창동 676번지 1호 두진에코맥스 601호1192237.601604127.141646의원212436.806895455486.121538의원179296.4115 114 111 110 109 108 106 105 104 101내과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 산부인과, 소아청소년과, 피부과, 비뇨의학과<NA><NA><NA>00<NA><NA>0<NA>
1569고양시1994-05-12유지호비뇨기과의원NaN영업/정상영업중<NA><NA><NA><NA>031 965-5557<NA>경기도 고양시 덕양구 호국로790번길 17, 영프라자 407-2호 (성사동)경기도 고양시 덕양구 성사동 697-14 영프라자1046337.656296126.837256의원185574.558384461557.366168의원10084.96115비뇨의학과<NA><NA><NA>00<NA><NA>0<NA>
시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용정보지정취소일자완화의료지정형태완화의료담당부서명특수구급차대수일반구급차대수총종업원수구조사수허가병상수최초지정일자
236고양시20030621고재성의원NaN영업/정상영업중<NA><NA><NA><NA>031-901-2864<NA>경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트상가동 207호)경기도 고양시 일산동구 백석1동 1183. 백송마을상가동207호1041937.649604126.7884의원181262.398558460832.670737의원10055.02101내과<NA><NA><NA>00<NA><NA>0<NA>
21662파주시2016-03-24채움생한의원NaN영업/정상영업중<NA><NA><NA><NA>031-943-1079<NA>경기도 파주시 문발로 234, D.달관 지층 -4호 (문발동)경기도 파주시 문발동 503-1 D.달관1088137.714995126.688205한의원172440.296202468107.169692한의원10020.96308 307 306 305 304 303 302 301한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
275고양시2003-09-01김내과의원NaN영업/정상영업중<NA><NA><NA><NA>031-904-3159<NA>경기도 고양시 일산동구 일산로 214 (마두동, 화성프라자 2층)경기도 고양시 일산동구 마두동1041737.655488126.789853의원181387.441392461477.666986의원300296.0101내과<NA><NA><NA>00<NA><NA>0<NA>
23711화성시20190611따스랑한의원NaN영업/정상영업중<NA><NA><NA><NA>031-831-8595<NA>경기도 화성시 동탄순환대로 127-9, 우성애비뉴타워 308호 (산척동)경기도 화성시 산척동 728-5번지 우성애비뉴타워 308호1850537.166534127.107285한의원<NA><NA>한의원10094.03301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
6987부천시20090216삼성속편한내과의원NaN폐업폐업20150415<NA><NA><NA>032-328-6161<NA>경기도 부천시 상동로 90, 404호 (상동,메가플러스빌딩)경기도 부천시 상동 541-1번지 메가플러스빌딩 404호1454537.505064126.753687의원178156.56027444798.494036의원100193.23101 111내과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
10168성남시20110405조인정형외과의원NaN영업/정상영업중<NA><NA><NA><NA>786-0134<NA>경기도 성남시 분당구 성남대로 168, 미도프라자 602호 (금곡동)경기도 성남시 분당구 금곡동 158번지 미도프라자1361837.350887127.109488의원209631.922553427654.85761의원200297.0105 106 109 120정형외과, 신경외과, 마취통증의학과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
20386의정부시20090327성모이비인후과의원NaN영업/정상영업중<NA><NA><NA><NA>031-852-4267<NA>경기도 의정부시 충의로 62, 4층 (용현동, 경운빌딩)경기도 의정부시 용현동 554번지 7호 경운빌딩 지상4층1178837.737486127.087344의원207634.521298470570.412552의원100188.06113이비인후과<NA><NA><NA>00<NA><NA>0<NA>
8222성남시20100819노블진내과의원NaN영업/정상영업중<NA><NA><NA><NA>031-719-2579<NA>경기도 성남시 분당구 돌마로 87, 305호 (금곡동, 골드프라자)경기도 성남시 분당구 금곡동 151번지 골드프라자 305호1361837.350538127.111716의원209828.635124427600.340795의원100136.64101 114내과, 피부과<NA><NA><NA>00<NA><NA>0<NA>
4176군포시20020705산본연세의원NaN폐업폐업20030801<NA><NA><NA>031-397-8176<NA>경기도 군포시 고산로 679, 404호 (산본동, 미성프라자)경기도 군포시 산본동 1061-3 미성프라자 404호1580237.371003126.933926의원194081.601626429892.501939의원10083.73101 111 105 114 113 122가정의학과, 이비인후과, 피부과, 정형외과, 소아청소년과, 내과<NA><NA><NA>00<NA><NA>0<NA>
6875부천시1998-12-31부천메디홀스의원NaN영업/정상영업중<NA><NA><NA><NA>032-656-4114<NA>경기도 부천시 경인로110번길 18, 메디홀스병원 (송내동)경기도 부천시 송내동 385-5 메디홀스병원1472737.48325126.767496의원179365.267092442367.187827의원30002057.59101 111 122내과, 소아청소년과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>