Overview

Dataset statistics

Number of variables29
Number of observations4456
Missing cells39794
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory248.0 B

Variable types

Categorical8
Text6
DateTime4
Numeric4
Unsupported7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),수리대상 의료기기의 유형,다른 겸업 여부,총규모,영업규모
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16451/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.7%)Imbalance
휴업시작일자 is highly imbalanced (99.7%)Imbalance
휴업종료일자 is highly imbalanced (99.0%)Imbalance
폐업일자 has 1835 (41.2%) missing valuesMissing
재개업일자 has 4456 (100.0%) missing valuesMissing
전화번호 has 1882 (42.2%) missing valuesMissing
소재지면적 has 4456 (100.0%) missing valuesMissing
소재지우편번호 has 2480 (55.7%) missing valuesMissing
도로명주소 has 463 (10.4%) missing valuesMissing
도로명우편번호 has 964 (21.6%) missing valuesMissing
업태구분명 has 4456 (100.0%) missing valuesMissing
좌표정보(X) has 468 (10.5%) missing valuesMissing
좌표정보(Y) has 468 (10.5%) missing valuesMissing
수리대상 의료기기의 유형 has 4456 (100.0%) missing valuesMissing
다른 겸업 여부 has 4456 (100.0%) missing valuesMissing
총규모 has 4456 (100.0%) missing valuesMissing
영업규모 has 4456 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:01:08.805123
Analysis finished2024-04-29 19:01:10.125146
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
3210000
4456 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 4456
100.0%

Length

2024-04-30T04:01:10.183765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:10.264907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 4456
100.0%

관리번호
Text

UNIQUE 

Distinct4456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
2024-04-30T04:01:10.420236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters111400
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4456 ?
Unique (%)100.0%

Sample

1st rowPHMG119833210034047000001
2nd rowPHMG119863210034047000001
3rd rowPHMG119863210034047000003
4th rowPHMG119873210034047000001
5th rowPHMG119873210034047000002
ValueCountFrequency (%)
phmg119833210034047000001 1
 
< 0.1%
phmg120193210034047000156 1
 
< 0.1%
phmg120193210034047000164 1
 
< 0.1%
phmg120193210034047000162 1
 
< 0.1%
phmg120193210034047000161 1
 
< 0.1%
phmg120193210034047000160 1
 
< 0.1%
phmg120193210034047000148 1
 
< 0.1%
phmg120193210034047000158 1
 
< 0.1%
phmg120193210034047000155 1
 
< 0.1%
phmg120193210034047000113 1
 
< 0.1%
Other values (4446) 4446
99.8%
2024-04-30T04:01:10.721319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35544
31.9%
1 14126
 
12.7%
2 12562
 
11.3%
3 10612
 
9.5%
4 10355
 
9.3%
7 5592
 
5.0%
P 4456
 
4.0%
H 4456
 
4.0%
M 4456
 
4.0%
G 4456
 
4.0%
Other values (4) 4785
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93576
84.0%
Uppercase Letter 17824
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35544
38.0%
1 14126
 
15.1%
2 12562
 
13.4%
3 10612
 
11.3%
4 10355
 
11.1%
7 5592
 
6.0%
9 1309
 
1.4%
5 1204
 
1.3%
8 1140
 
1.2%
6 1132
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
P 4456
25.0%
H 4456
25.0%
M 4456
25.0%
G 4456
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93576
84.0%
Latin 17824
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35544
38.0%
1 14126
 
15.1%
2 12562
 
13.4%
3 10612
 
11.3%
4 10355
 
11.1%
7 5592
 
6.0%
9 1309
 
1.4%
5 1204
 
1.3%
8 1140
 
1.2%
6 1132
 
1.2%
Latin
ValueCountFrequency (%)
P 4456
25.0%
H 4456
25.0%
M 4456
25.0%
G 4456
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 111400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35544
31.9%
1 14126
 
12.7%
2 12562
 
11.3%
3 10612
 
9.5%
4 10355
 
9.3%
7 5592
 
5.0%
P 4456
 
4.0%
H 4456
 
4.0%
M 4456
 
4.0%
G 4456
 
4.0%
Other values (4) 4785
 
4.3%

인허가일자
Date

Distinct2776
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
Minimum1983-03-11 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:01:10.857139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:10.975178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
<NA>
4455 
20230116
 
1

Length

Max length8
Median length4
Mean length4.0008977
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4455
> 99.9%
20230116 1
 
< 0.1%

Length

2024-04-30T04:01:11.094398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:11.206801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4455
> 99.9%
20230116 1
 
< 0.1%

영업상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
3
2187 
1
1676 
4
434 
5
 
158
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3
2nd row1
3rd row3
4th row1
5th row4

Common Values

ValueCountFrequency (%)
3 2187
49.1%
1 1676
37.6%
4 434
 
9.7%
5 158
 
3.5%
2 1
 
< 0.1%

Length

2024-04-30T04:01:11.302151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:11.454710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2187
49.1%
1 1676
37.6%
4 434
 
9.7%
5 158
 
3.5%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
폐업
2187 
영업/정상
1676 
취소/말소/만료/정지/중지
434 
제외/삭제/전출
 
158
휴업
 
1

Length

Max length14
Median length8
Mean length4.5098743
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 2187
49.1%
영업/정상 1676
37.6%
취소/말소/만료/정지/중지 434
 
9.7%
제외/삭제/전출 158
 
3.5%
휴업 1
 
< 0.1%

Length

2024-04-30T04:01:11.613426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:11.767433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2187
49.1%
영업/정상 1676
37.6%
취소/말소/만료/정지/중지 434
 
9.7%
제외/삭제/전출 158
 
3.5%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2506732
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.3 KiB
2024-04-30T04:01:11.873516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile24
Maximum99
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.9746856
Coefficient of variation (CV)0.75396519
Kurtosis5.4765032
Mean9.2506732
Median Absolute Deviation (MAD)10
Skewness1.124614
Sum41221
Variance48.64624
MonotonicityNot monotonic
2024-04-30T04:01:11.961923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2187
49.1%
13 1676
37.6%
24 434
 
9.7%
15 157
 
3.5%
2 1
 
< 0.1%
99 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 2187
49.1%
13 1676
37.6%
15 157
 
3.5%
24 434
 
9.7%
99 1
 
< 0.1%
ValueCountFrequency (%)
99 1
 
< 0.1%
24 434
 
9.7%
15 157
 
3.5%
13 1676
37.6%
3 2187
49.1%
2 1
 
< 0.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
폐업
2187 
영업중
1676 
직권폐업
434 
전출
 
157
휴업
 
1

Length

Max length4
Median length2
Mean length2.5709156
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2187
49.1%
영업중 1676
37.6%
직권폐업 434
 
9.7%
전출 157
 
3.5%
휴업 1
 
< 0.1%
삭제 1
 
< 0.1%

Length

2024-04-30T04:01:12.080476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:12.190374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2187
49.1%
영업중 1676
37.6%
직권폐업 434
 
9.7%
전출 157
 
3.5%
휴업 1
 
< 0.1%
삭제 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1415
Distinct (%)54.0%
Missing1835
Missing (%)41.2%
Memory size34.9 KiB
Minimum2008-08-08 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:01:12.298365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:12.434185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
<NA>
4455 
20221226
 
1

Length

Max length8
Median length4
Mean length4.0008977
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4455
> 99.9%
20221226 1
 
< 0.1%

Length

2024-04-30T04:01:12.560354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:12.652468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4455
> 99.9%
20221226 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
<NA>
4450 
99991231
 
5
20241225
 
1

Length

Max length8
Median length4
Mean length4.005386
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4450
99.9%
99991231 5
 
0.1%
20241225 1
 
< 0.1%

Length

2024-04-30T04:01:12.756095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:12.842715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4450
99.9%
99991231 5
 
0.1%
20241225 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4456
Missing (%)100.0%
Memory size39.3 KiB

전화번호
Text

MISSING 

Distinct2426
Distinct (%)94.3%
Missing1882
Missing (%)42.2%
Memory size34.9 KiB
2024-04-30T04:01:13.052728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length10.388112
Min length1

Characters and Unicode

Total characters26739
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2290 ?
Unique (%)89.0%

Sample

1st row02-596-1838
2nd row02-3498-1898
3rd row02-3481-4651
4th row02-2055-0321
5th row02-552-5255
ValueCountFrequency (%)
1577-0711 6
 
0.2%
02-593-3625 3
 
0.1%
02-597-1352 3
 
0.1%
522-2066 3
 
0.1%
02-1566-2329 3
 
0.1%
1544-2549 3
 
0.1%
2009-0991 3
 
0.1%
02-2058-2366 3
 
0.1%
070-4237-4975 3
 
0.1%
02-537-1198 2
 
0.1%
Other values (2415) 2542
98.8%
2024-04-30T04:01:13.390674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4155
15.5%
0 3659
13.7%
2 3389
12.7%
5 3051
11.4%
7 2102
7.9%
3 1956
7.3%
4 1884
7.0%
8 1879
7.0%
1 1754
6.6%
6 1533
 
5.7%
Other values (6) 1377
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22564
84.4%
Dash Punctuation 4155
 
15.5%
Math Symbol 10
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3659
16.2%
2 3389
15.0%
5 3051
13.5%
7 2102
9.3%
3 1956
8.7%
4 1884
8.3%
8 1879
8.3%
1 1754
7.8%
6 1533
6.8%
9 1357
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
# 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4155
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26739
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4155
15.5%
0 3659
13.7%
2 3389
12.7%
5 3051
11.4%
7 2102
7.9%
3 1956
7.3%
4 1884
7.0%
8 1879
7.0%
1 1754
6.6%
6 1533
 
5.7%
Other values (6) 1377
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26739
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4155
15.5%
0 3659
13.7%
2 3389
12.7%
5 3051
11.4%
7 2102
7.9%
3 1956
7.3%
4 1884
7.0%
8 1879
7.0%
1 1754
6.6%
6 1533
 
5.7%
Other values (6) 1377
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4456
Missing (%)100.0%
Memory size39.3 KiB

소재지우편번호
Text

MISSING 

Distinct204
Distinct (%)10.3%
Missing2480
Missing (%)55.7%
Memory size34.9 KiB
2024-04-30T04:01:13.692457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0212551
Min length6

Characters and Unicode

Total characters11898
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

Unique52 ?
Unique (%)2.6%

Sample

1st row137044
2nd row137900
3rd row137847
4th row137072
5th row137908
ValueCountFrequency (%)
137071 59
 
3.0%
137131 56
 
2.8%
137858 51
 
2.6%
137030 50
 
2.5%
137073 46
 
2.3%
137132 44
 
2.2%
137876 40
 
2.0%
137856 40
 
2.0%
137902 35
 
1.8%
137860 33
 
1.7%
Other values (194) 1522
77.0%
2024-04-30T04:01:14.098942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 2506
21.1%
1 2464
20.7%
3 2446
20.6%
8 1562
13.1%
0 822
 
6.9%
9 544
 
4.6%
6 479
 
4.0%
4 372
 
3.1%
2 345
 
2.9%
5 316
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11856
99.6%
Dash Punctuation 42
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 2506
21.1%
1 2464
20.8%
3 2446
20.6%
8 1562
13.2%
0 822
 
6.9%
9 544
 
4.6%
6 479
 
4.0%
4 372
 
3.1%
2 345
 
2.9%
5 316
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11898
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 2506
21.1%
1 2464
20.7%
3 2446
20.6%
8 1562
13.1%
0 822
 
6.9%
9 544
 
4.6%
6 479
 
4.0%
4 372
 
3.1%
2 345
 
2.9%
5 316
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11898
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 2506
21.1%
1 2464
20.7%
3 2446
20.6%
8 1562
13.1%
0 822
 
6.9%
9 544
 
4.6%
6 479
 
4.0%
4 372
 
3.1%
2 345
 
2.9%
5 316
 
2.7%

지번주소
Text

Distinct2145
Distinct (%)48.6%
Missing42
Missing (%)0.9%
Memory size34.9 KiB
2024-04-30T04:01:14.527739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length26.963978
Min length11

Characters and Unicode

Total characters119019
Distinct characters447
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1679 ?
Unique (%)38.0%

Sample

1st row서울특별시 서초구 반포*동 **-**
2nd row서울특별시 서초구 우면동 **번지
3rd row서울특별시 서초구 방배*동 ***번지 **호 아이티타워 *층
4th row서울특별시 서초구 방배동 ***-* ***호
5th row서울특별시 서초구 서초*동 ****-* ****호
ValueCountFrequency (%)
서초구 4413
17.7%
서울특별시 4411
17.7%
호 3567
14.3%
번지 2508
10.1%
1855
7.4%
서초동 1390
 
5.6%
층 1276
 
5.1%
양재동 604
 
2.4%
방배동 540
 
2.2%
서초*동 472
 
1.9%
Other values (1222) 3897
15.6%
2024-04-30T04:01:14.926497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 26908
22.6%
20669
17.4%
서 10872
 
9.1%
초 6387
 
5.4%
동 4600
 
3.9%
시 4447
 
3.7%
울 4433
 
3.7%
구 4417
 
3.7%
별 4416
 
3.7%
특 4413
 
3.7%
Other values (437) 27457
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68570
57.6%
Other Punctuation 27232
 
22.9%
Space Separator 20669
 
17.4%
Dash Punctuation 1779
 
1.5%
Decimal Number 370
 
0.3%
Uppercase Letter 356
 
0.3%
Lowercase Letter 13
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Open Punctuation 11
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 10872
15.9%
초 6387
 
9.3%
동 4600
 
6.7%
시 4447
 
6.5%
울 4433
 
6.5%
구 4417
 
6.4%
별 4416
 
6.4%
특 4413
 
6.4%
호 3819
 
5.6%
지 2779
 
4.1%
Other values (385) 17987
26.2%
Uppercase Letter
ValueCountFrequency (%)
B 98
27.5%
A 45
12.6%
K 27
 
7.6%
T 20
 
5.6%
L 17
 
4.8%
G 17
 
4.8%
S 16
 
4.5%
R 16
 
4.5%
D 15
 
4.2%
M 13
 
3.7%
Other values (10) 72
20.2%
Decimal Number
ValueCountFrequency (%)
1 96
25.9%
3 45
12.2%
5 38
 
10.3%
2 36
 
9.7%
4 32
 
8.6%
7 30
 
8.1%
8 28
 
7.6%
0 26
 
7.0%
6 24
 
6.5%
9 15
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
n 2
15.4%
r 2
15.4%
h 1
 
7.7%
o 1
 
7.7%
i 1
 
7.7%
a 1
 
7.7%
p 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 26908
98.8%
, 299
 
1.1%
. 9
 
< 0.1%
/ 8
 
< 0.1%
& 5
 
< 0.1%
? 2
 
< 0.1%
' 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
∥ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
20669
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1779
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68570
57.6%
Common 50078
42.1%
Latin 371
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 10872
15.9%
초 6387
 
9.3%
동 4600
 
6.7%
시 4447
 
6.5%
울 4433
 
6.5%
구 4417
 
6.4%
별 4416
 
6.4%
특 4413
 
6.4%
호 3819
 
5.6%
지 2779
 
4.1%
Other values (385) 17987
26.2%
Latin
ValueCountFrequency (%)
B 98
26.4%
A 45
12.1%
K 27
 
7.3%
T 20
 
5.4%
L 17
 
4.6%
G 17
 
4.6%
S 16
 
4.3%
R 16
 
4.3%
D 15
 
4.0%
M 13
 
3.5%
Other values (19) 87
23.5%
Common
ValueCountFrequency (%)
* 26908
53.7%
20669
41.3%
- 1779
 
3.6%
, 299
 
0.6%
1 96
 
0.2%
3 45
 
0.1%
5 38
 
0.1%
2 36
 
0.1%
4 32
 
0.1%
7 30
 
0.1%
Other values (13) 146
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68570
57.6%
ASCII 50446
42.4%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 26908
53.3%
20669
41.0%
- 1779
 
3.5%
, 299
 
0.6%
B 98
 
0.2%
1 96
 
0.2%
3 45
 
0.1%
A 45
 
0.1%
5 38
 
0.1%
2 36
 
0.1%
Other values (40) 433
 
0.9%
Hangul
ValueCountFrequency (%)
서 10872
15.9%
초 6387
 
9.3%
동 4600
 
6.7%
시 4447
 
6.5%
울 4433
 
6.5%
구 4417
 
6.4%
별 4416
 
6.4%
특 4413
 
6.4%
호 3819
 
5.6%
지 2779
 
4.1%
Other values (385) 17987
26.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

도로명주소
Text

MISSING 

Distinct2611
Distinct (%)65.4%
Missing463
Missing (%)10.4%
Memory size34.9 KiB
2024-04-30T04:01:15.172275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length34.155773
Min length20

Characters and Unicode

Total characters136384
Distinct characters468
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2106 ?
Unique (%)52.7%

Sample

1st row서울특별시 서초구 바우뫼로*길 ** (우면동)
2nd row서울특별시 서초구 효령로 **, *층 (방배동, 아이티타워)
3rd row서울특별시 서초구 방배중앙로 **, ***호 (방배동)
4th row서울특별시 서초구 신반포로 ***, *동 ***호 (잠원동, 반포쇼핑)
5th row서울특별시 서초구 사임당로**길 ** (서초동)
ValueCountFrequency (%)
서울특별시 3993
15.2%
서초구 3979
15.1%
3929
15.0%
층 1991
 
7.6%
호 1877
 
7.1%
서초동 1542
 
5.9%
양재동 662
 
2.5%
방배동 600
 
2.3%
서초대로**길 339
 
1.3%
잠원동 321
 
1.2%
Other values (1574) 7032
26.8%
2024-04-30T04:01:15.545045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 22890
16.8%
22298
16.3%
서 10748
 
7.9%
초 6580
 
4.8%
, 4980
 
3.7%
동 4465
 
3.3%
시 4030
 
3.0%
울 4014
 
2.9%
( 4006
 
2.9%
) 4006
 
2.9%
Other values (458) 48367
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76723
56.3%
Other Punctuation 27892
 
20.5%
Space Separator 22298
 
16.3%
Open Punctuation 4006
 
2.9%
Close Punctuation 4006
 
2.9%
Dash Punctuation 633
 
0.5%
Uppercase Letter 446
 
0.3%
Decimal Number 351
 
0.3%
Lowercase Letter 17
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 10748
 
14.0%
초 6580
 
8.6%
동 4465
 
5.8%
시 4030
 
5.3%
울 4014
 
5.2%
구 3999
 
5.2%
별 3997
 
5.2%
특 3993
 
5.2%
로 3955
 
5.2%
층 2477
 
3.2%
Other values (402) 28465
37.1%
Uppercase Letter
ValueCountFrequency (%)
B 157
35.2%
A 74
16.6%
K 24
 
5.4%
L 23
 
5.2%
R 18
 
4.0%
M 15
 
3.4%
P 15
 
3.4%
I 14
 
3.1%
S 14
 
3.1%
G 14
 
3.1%
Other values (13) 78
17.5%
Decimal Number
ValueCountFrequency (%)
1 86
24.5%
2 47
13.4%
5 39
11.1%
3 34
 
9.7%
4 32
 
9.1%
0 31
 
8.8%
8 25
 
7.1%
6 22
 
6.3%
9 20
 
5.7%
7 15
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
r 3
17.6%
n 2
 
11.8%
o 2
 
11.8%
p 1
 
5.9%
h 1
 
5.9%
w 1
 
5.9%
i 1
 
5.9%
a 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 22890
82.1%
, 4980
 
17.9%
. 8
 
< 0.1%
& 5
 
< 0.1%
/ 4
 
< 0.1%
? 3
 
< 0.1%
' 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
∥ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
22298
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4006
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4006
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 633
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76723
56.3%
Common 59196
43.4%
Latin 465
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 10748
 
14.0%
초 6580
 
8.6%
동 4465
 
5.8%
시 4030
 
5.3%
울 4014
 
5.2%
구 3999
 
5.2%
별 3997
 
5.2%
특 3993
 
5.2%
로 3955
 
5.2%
층 2477
 
3.2%
Other values (402) 28465
37.1%
Latin
ValueCountFrequency (%)
B 157
33.8%
A 74
15.9%
K 24
 
5.2%
L 23
 
4.9%
R 18
 
3.9%
M 15
 
3.2%
P 15
 
3.2%
I 14
 
3.0%
S 14
 
3.0%
G 14
 
3.0%
Other values (23) 97
20.9%
Common
ValueCountFrequency (%)
* 22890
38.7%
22298
37.7%
, 4980
 
8.4%
( 4006
 
6.8%
) 4006
 
6.8%
- 633
 
1.1%
1 86
 
0.1%
2 47
 
0.1%
5 39
 
0.1%
3 34
 
0.1%
Other values (13) 177
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76723
56.3%
ASCII 59658
43.7%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 22890
38.4%
22298
37.4%
, 4980
 
8.3%
( 4006
 
6.7%
) 4006
 
6.7%
- 633
 
1.1%
B 157
 
0.3%
1 86
 
0.1%
A 74
 
0.1%
2 47
 
0.1%
Other values (44) 481
 
0.8%
Hangul
ValueCountFrequency (%)
서 10748
 
14.0%
초 6580
 
8.6%
동 4465
 
5.8%
시 4030
 
5.3%
울 4014
 
5.2%
구 3999
 
5.2%
별 3997
 
5.2%
특 3993
 
5.2%
로 3955
 
5.2%
층 2477
 
3.2%
Other values (402) 28465
37.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct377
Distinct (%)10.8%
Missing964
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean20853.438
Minimum6500
Maximum137974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.3 KiB
2024-04-30T04:01:15.662700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6500
5-th percentile6526
Q16604.75
median6653
Q36752
95-th percentile137872.45
Maximum137974
Range131474
Interquartile range (IQR)147.25

Descriptive statistics

Standard deviation40765.717
Coefficient of variation (CV)1.9548679
Kurtosis4.3674456
Mean20853.438
Median Absolute Deviation (MAD)81
Skewness2.5228741
Sum72820207
Variance1.6618436 × 109
MonotonicityNot monotonic
2024-04-30T04:01:15.805693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6775 84
 
1.9%
6627 80
 
1.8%
6626 74
 
1.7%
6650 62
 
1.4%
6621 60
 
1.3%
6611 48
 
1.1%
6612 48
 
1.1%
6525 45
 
1.0%
6654 44
 
1.0%
6524 43
 
1.0%
Other values (367) 2904
65.2%
(Missing) 964
 
21.6%
ValueCountFrequency (%)
6500 3
 
0.1%
6501 1
 
< 0.1%
6502 11
0.2%
6503 1
 
< 0.1%
6506 4
 
0.1%
6509 8
0.2%
6510 5
 
0.1%
6511 13
0.3%
6512 14
0.3%
6514 1
 
< 0.1%
ValueCountFrequency (%)
137974 1
 
< 0.1%
137973 1
 
< 0.1%
137965 1
 
< 0.1%
137963 4
0.1%
137960 5
0.1%
137952 1
 
< 0.1%
137944 2
 
< 0.1%
137941 1
 
< 0.1%
137940 3
0.1%
137934 1
 
< 0.1%

사업장명
Text

Distinct4292
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
2024-04-30T04:01:16.082819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length26
Mean length8.1202873
Min length1

Characters and Unicode

Total characters36184
Distinct characters721
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4138 ?
Unique (%)92.9%

Sample

1st row㈜한일엑스선
2nd row디케이메디칼솔루션(주)
3rd row㈜흥일메디칼
4th row㈜티코리아솔루션
5th row상우교역
ValueCountFrequency (%)
주식회사 311
 
5.9%
주)코리아세븐 109
 
2.1%
씨유 49
 
0.9%
세븐일레븐 18
 
0.3%
지에스25 13
 
0.2%
주)비지에프리테일 12
 
0.2%
서초점 10
 
0.2%
서초지점 9
 
0.2%
양재점 9
 
0.2%
유한회사 9
 
0.2%
Other values (4394) 4748
89.6%
2024-04-30T04:01:16.476518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2035
 
5.6%
) 1653
 
4.6%
( 1653
 
4.6%
이 1485
 
4.1%
스 1371
 
3.8%
디 853
 
2.4%
메 852
 
2.4%
841
 
2.3%
아 717
 
2.0%
에 716
 
2.0%
Other values (711) 24008
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30487
84.3%
Close Punctuation 1653
 
4.6%
Open Punctuation 1653
 
4.6%
Space Separator 841
 
2.3%
Uppercase Letter 451
 
1.2%
Decimal Number 407
 
1.1%
Other Symbol 335
 
0.9%
Lowercase Letter 330
 
0.9%
Other Punctuation 24
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2035
 
6.7%
이 1485
 
4.9%
스 1371
 
4.5%
디 853
 
2.8%
메 852
 
2.8%
아 717
 
2.4%
에 716
 
2.3%
점 704
 
2.3%
리 680
 
2.2%
사 662
 
2.2%
Other values (642) 20412
67.0%
Uppercase Letter
ValueCountFrequency (%)
S 63
14.0%
G 54
 
12.0%
M 31
 
6.9%
E 28
 
6.2%
C 26
 
5.8%
I 25
 
5.5%
A 25
 
5.5%
T 24
 
5.3%
H 21
 
4.7%
B 19
 
4.2%
Other values (16) 135
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 49
14.8%
o 44
13.3%
n 33
10.0%
a 32
9.7%
t 27
8.2%
i 24
 
7.3%
r 20
 
6.1%
d 16
 
4.8%
l 14
 
4.2%
c 11
 
3.3%
Other values (13) 60
18.2%
Decimal Number
ValueCountFrequency (%)
2 155
38.1%
5 120
29.5%
1 57
 
14.0%
4 17
 
4.2%
0 16
 
3.9%
7 14
 
3.4%
9 10
 
2.5%
6 8
 
2.0%
3 7
 
1.7%
8 3
 
0.7%
Other Punctuation
ValueCountFrequency (%)
& 15
62.5%
. 4
 
16.7%
, 3
 
12.5%
' 1
 
4.2%
? 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 1653
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1653
100.0%
Space Separator
ValueCountFrequency (%)
841
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30822
85.2%
Common 4581
 
12.7%
Latin 781
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2035
 
6.6%
이 1485
 
4.8%
스 1371
 
4.4%
디 853
 
2.8%
메 852
 
2.8%
아 717
 
2.3%
에 716
 
2.3%
점 704
 
2.3%
리 680
 
2.2%
사 662
 
2.1%
Other values (643) 20747
67.3%
Latin
ValueCountFrequency (%)
S 63
 
8.1%
G 54
 
6.9%
e 49
 
6.3%
o 44
 
5.6%
n 33
 
4.2%
a 32
 
4.1%
M 31
 
4.0%
E 28
 
3.6%
t 27
 
3.5%
C 26
 
3.3%
Other values (39) 394
50.4%
Common
ValueCountFrequency (%)
) 1653
36.1%
( 1653
36.1%
841
18.4%
2 155
 
3.4%
5 120
 
2.6%
1 57
 
1.2%
4 17
 
0.4%
0 16
 
0.3%
& 15
 
0.3%
7 14
 
0.3%
Other values (9) 40
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30487
84.3%
ASCII 5362
 
14.8%
None 335
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2035
 
6.7%
이 1485
 
4.9%
스 1371
 
4.5%
디 853
 
2.8%
메 852
 
2.8%
아 717
 
2.4%
에 716
 
2.3%
점 704
 
2.3%
리 680
 
2.2%
사 662
 
2.2%
Other values (642) 20412
67.0%
ASCII
ValueCountFrequency (%)
) 1653
30.8%
( 1653
30.8%
841
15.7%
2 155
 
2.9%
5 120
 
2.2%
S 63
 
1.2%
1 57
 
1.1%
G 54
 
1.0%
e 49
 
0.9%
o 44
 
0.8%
Other values (58) 673
12.6%
None
ValueCountFrequency (%)
㈜ 335
100.0%

최종수정일자
Date

Distinct4452
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
Minimum2008-09-30 00:00:00
Maximum2024-04-25 10:20:44
2024-04-30T04:01:16.595957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:16.719342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
I
2847 
U
1609 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowI
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 2847
63.9%
U 1609
36.1%

Length

2024-04-30T04:01:16.825507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:16.914255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2847
63.9%
u 1609
36.1%

데이터갱신일자
Date

Distinct1019
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size34.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:01:17.019712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:17.138978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4456
Missing (%)100.0%
Memory size39.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1795
Distinct (%)45.0%
Missing468
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean201521.49
Minimum198344.76
Maximum206173.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.3 KiB
2024-04-30T04:01:17.270205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198344.76
5-th percentile198660.62
Q1200675.81
median201535.6
Q3202536.34
95-th percentile203865.71
Maximum206173.11
Range7828.3503
Interquartile range (IQR)1860.5384

Descriptive statistics

Standard deviation1568.6795
Coefficient of variation (CV)0.0077841796
Kurtosis-0.60453487
Mean201521.49
Median Absolute Deviation (MAD)977.79296
Skewness-0.21735016
Sum8.036677 × 108
Variance2460755.3
MonotonicityNot monotonic
2024-04-30T04:01:17.409652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202524.096001449 44
 
1.0%
201501.672660443 42
 
0.9%
202501.602561199 39
 
0.9%
200250.447804795 31
 
0.7%
199197.79507181 31
 
0.7%
201176.159311432 25
 
0.6%
203865.709970943 24
 
0.5%
203815.668827003 23
 
0.5%
202175.011113176 22
 
0.5%
201070.374374053 21
 
0.5%
Other values (1785) 3686
82.7%
(Missing) 468
 
10.5%
ValueCountFrequency (%)
198344.761390706 2
< 0.1%
198351.955 1
< 0.1%
198352.675 1
< 0.1%
198358.536839066 1
< 0.1%
198359.105676344 2
< 0.1%
198363.705516537 2
< 0.1%
198364.994691704 2
< 0.1%
198368.472159079 1
< 0.1%
198368.875883964 1
< 0.1%
198380.114292953 1
< 0.1%
ValueCountFrequency (%)
206173.111688925 2
< 0.1%
205917.286438512 1
< 0.1%
205793.963198331 1
< 0.1%
205707.494538484 1
< 0.1%
205583.30209169 1
< 0.1%
205329.561120927 1
< 0.1%
205231.176713429 2
< 0.1%
205219.282487819 1
< 0.1%
205145.303454593 2
< 0.1%
205049.0 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1794
Distinct (%)45.0%
Missing468
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean442997.22
Minimum437857.1
Maximum446331.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.3 KiB
2024-04-30T04:01:17.535752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437857.1
5-th percentile440915.72
Q1442199.27
median442866.3
Q3443717.69
95-th percentile445706.13
Maximum446331.38
Range8474.2845
Interquartile range (IQR)1518.4219

Descriptive statistics

Standard deviation1392.8257
Coefficient of variation (CV)0.0031440958
Kurtosis0.19127054
Mean442997.22
Median Absolute Deviation (MAD)770.72365
Skewness0.13834924
Sum1.7666729 × 109
Variance1939963.5
MonotonicityNot monotonic
2024-04-30T04:01:17.657366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443449.99298641 44
 
1.0%
442505.573142545 42
 
0.9%
443226.434038556 39
 
0.9%
444683.220506107 31
 
0.7%
442929.854461736 31
 
0.7%
442917.346139861 25
 
0.6%
441674.893877771 24
 
0.5%
441633.343952614 23
 
0.5%
440963.759050916 22
 
0.5%
442706.851934959 21
 
0.5%
Other values (1784) 3686
82.7%
(Missing) 468
 
10.5%
ValueCountFrequency (%)
437857.095535804 1
 
< 0.1%
438278.235724516 2
< 0.1%
438292.227961684 2
< 0.1%
438349.0 1
 
< 0.1%
438398.0 1
 
< 0.1%
438416.991038311 3
0.1%
438458.0 1
 
< 0.1%
438463.510444768 1
 
< 0.1%
438473.237373955 1
 
< 0.1%
438959.389543484 1
 
< 0.1%
ValueCountFrequency (%)
446331.380046658 3
 
0.1%
446247.719636035 1
 
< 0.1%
446206.354902748 10
0.2%
446183.502793135 1
 
< 0.1%
446180.260965954 20
0.4%
446166.39371284 1
 
< 0.1%
446155.716601327 2
 
< 0.1%
446150.216745339 7
 
0.2%
446144.110278895 2
 
< 0.1%
446135.828367442 3
 
0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4456
Missing (%)100.0%
Memory size39.3 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4456
Missing (%)100.0%
Memory size39.3 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4456
Missing (%)100.0%
Memory size39.3 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4456
Missing (%)100.0%
Memory size39.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03210000PHMG11983321003404700000119830311<NA>3폐업3폐업20100824<NA><NA><NA>02-596-1838<NA>137044서울특별시 서초구 반포*동 **-**<NA><NA>㈜한일엑스선2010-08-24 14:44:41I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13210000PHMG11986321003404700000119860704<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3498-1898<NA>137900서울특별시 서초구 우면동 **번지서울특별시 서초구 바우뫼로*길 ** (우면동)6762디케이메디칼솔루션(주)2021-01-18 14:57:50U2021-01-20 02:40:00.0<NA>202134.413685441007.517004<NA><NA><NA><NA>
23210000PHMG11986321003404700000319860825<NA>3폐업3폐업20171017<NA><NA><NA>02-3481-4651<NA>137847서울특별시 서초구 방배*동 ***번지 **호 아이티타워 *층서울특별시 서초구 효령로 **, *층 (방배동, 아이티타워)6694㈜흥일메디칼2017-10-17 17:15:38I2018-08-31 23:59:59.0<NA>198966.833386441843.340832<NA><NA><NA><NA>
33210000PHMG11987321003404700000119870224<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2055-0321<NA><NA>서울특별시 서초구 방배동 ***-* ***호서울특별시 서초구 방배중앙로 **, ***호 (방배동)6684㈜티코리아솔루션2022-06-13 13:20:21U2021-12-05 23:05:00.0<NA>199251.468576442284.794225<NA><NA><NA><NA>
43210000PHMG11987321003404700000219870731<NA>4취소/말소/만료/정지/중지24직권폐업20090916<NA><NA><NA>02-552-5255<NA>137072서울특별시 서초구 서초*동 ****-* ****호<NA><NA>상우교역2009-09-23 11:17:55I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53210000PHMG11989321003404700000119891108<NA>4취소/말소/만료/정지/중지24직권폐업20150813<NA><NA><NA>02-599-2024<NA>137908서울특별시 서초구 잠원동 **번지 **호 반포쇼핑 *동 ***호서울특별시 서초구 신반포로 ***, *동 ***호 (잠원동, 반포쇼핑)6512기여상사2015-08-13 17:15:57I2018-08-31 23:59:59.0<NA>200566.089923445004.984181<NA><NA><NA><NA>
63210000PHMG11990321003404700000119900406<NA>1영업/정상13영업중<NA><NA><NA><NA>02-589-1291<NA>137878서울특별시 서초구 서초*동 ****번지 *호서울특별시 서초구 사임당로**길 ** (서초동)6641에크미메디칼(주)2012-05-16 11:41:54I2018-08-31 23:59:59.0<NA>201534.853821442827.933028<NA><NA><NA><NA>
73210000PHMG11990321003404700000219900721<NA>3폐업3폐업20150415<NA><NA><NA>02-521-8384(#202)<NA>137869서울특별시 서초구 서초*동 ****번지 *호 *층서울특별시 서초구 효령로 ***, *층 (서초동)137869㈜실버스핸드2015-04-15 17:52:18I2018-08-31 23:59:59.0<NA>200761.68438442350.466365<NA><NA><NA><NA>
83210000PHMG11990321003404700000319901016<NA>1영업/정상13영업중<NA><NA>99991231<NA>02-567-4044<NA>137773서울특별시 서초구 서초동 ****번지서울특별시 서초구 사임당로 *** (서초동)6625우성콘택트렌즈2008-09-30 00:00:00I2018-08-31 23:59:59.0<NA>202331.073405443429.911288<NA><NA><NA><NA>
93210000PHMG11991321003404700000119910201<NA>3폐업3폐업20100818<NA><NA><NA>02-534-8156<NA>137044서울특별시 서초구 반포동 ***-**, 지층<NA><NA>태양상사2010-08-18 17:03:33I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
44463210000PHMG1202432100340470000812024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* MK빌딩서울특별시 서초구 서초대로**길 **, MK빌딩 **층 ***호 (서초동)6612주식회사 엘에스와이에스2024-04-09 10:57:55I2023-12-03 23:01:00.0<NA>202143.464865444322.921686<NA><NA><NA><NA>
44473210000PHMG1202432100340470000822024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-1300<NA><NA>서울특별시 서초구 서초동 ****-* 삼원빌딩서울특별시 서초구 강남대로 ***, 삼원빌딩 *층 ***호 (서초동)6626투어유럽2024-04-12 13:36:53I2023-12-03 23:04:00.0<NA>202524.096001443449.992986<NA><NA><NA><NA>
44483210000PHMG1202432100340470000832024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8065-4415<NA><NA>서울특별시 서초구 반포동 ***-**서울특별시 서초구 사평대로**길 **, ***호 (반포동)6578라벤더2024-04-12 13:37:36I2023-12-03 23:04:00.0<NA>199992.562843443954.775321<NA><NA><NA><NA>
44493210000PHMG1202432100340470000842024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8018-9062<NA><NA>서울특별시 서초구 방배동 ***-** 광찬빌딩서울특별시 서초구 방배로 **, 광찬빌딩 *층 ***호 상주*호 (방배동)6704지비에이치바이오(GBH Bio)2024-04-12 14:33:36I2023-12-03 23:04:00.0<NA>199830.003088441996.985239<NA><NA><NA><NA>
44503210000PHMG1202432100340470000852022-10-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-* 창빈빌딩서울특별시 서초구 방배로**길 **, 창빈빌딩 *층 (방배동)6572주식회사 시크릿팜2024-04-16 10:17:37I2023-12-03 23:08:00.0<NA>199079.436192443001.886456<NA><NA><NA><NA>
44513210000PHMG1202432100340470000862019-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6491-6609<NA><NA>서울특별시 서초구 양재동 **-** JH빌딩서울특별시 서초구 논현로 ***, JH빌딩 *층 (양재동)6746(주)바이오솔루션2024-04-19 13:31:38I2023-12-03 22:01:00.0<NA>203750.516967442045.500693<NA><NA><NA><NA>
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