Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells122305
Missing cells (%)42.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory252.0 B

Variable types

Numeric5
Text7
DateTime6
Categorical4
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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16488/S/1/datasetView.do

Alerts

인허가취소일자 has 9609 (96.1%) missing valuesMissing
폐업일자 has 5009 (50.1%) missing valuesMissing
휴업시작일자 has 9989 (99.9%) missing valuesMissing
휴업종료일자 has 9988 (99.9%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 5637 (56.4%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 6841 (68.4%) missing valuesMissing
지번주소 has 633 (6.3%) missing valuesMissing
도로명주소 has 1074 (10.7%) missing valuesMissing
도로명우편번호 has 1609 (16.1%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 958 (9.6%) missing valuesMissing
좌표정보(Y) has 958 (9.6%) missing valuesMissing
수리대상 의료기기의 유형 has 10000 (100.0%) missing valuesMissing
다른 겸업 여부 has 10000 (100.0%) missing valuesMissing
총규모 has 10000 (100.0%) missing valuesMissing
영업규모 has 10000 (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 started2024-05-11 03:54:12.828645
Analysis finished2024-05-11 03:54:18.168098
Duration5.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3097181
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T03:54:18.474710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13040000
median3090000
Q33140000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation66405.754
Coefficient of variation (CV)0.021440708
Kurtosis-0.75649645
Mean3097181
Median Absolute Deviation (MAD)50000
Skewness0.43059242
Sum3.097181 × 1010
Variance4.4097242 × 109
MonotonicityNot monotonic
2024-05-11T03:54:19.141941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3130000 913
 
9.1%
3010000 686
 
6.9%
3100000 634
 
6.3%
3050000 609
 
6.1%
3040000 596
 
6.0%
3110000 560
 
5.6%
3060000 522
 
5.2%
3030000 514
 
5.1%
3000000 476
 
4.8%
3070000 470
 
4.7%
Other values (15) 4020
40.2%
ValueCountFrequency (%)
3000000 476
4.8%
3010000 686
6.9%
3020000 420
4.2%
3030000 514
5.1%
3040000 596
6.0%
3050000 609
6.1%
3060000 522
5.2%
3070000 470
4.7%
3080000 370
3.7%
3090000 350
3.5%
ValueCountFrequency (%)
3240000 127
 
1.3%
3230000 236
2.4%
3220000 457
4.6%
3210000 277
2.8%
3200000 120
 
1.2%
3190000 80
 
0.8%
3180000 259
2.6%
3170000 154
 
1.5%
3160000 158
 
1.6%
3150000 266
2.7%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T03:54:19.904389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters250000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowPHMG120213120033047000060
2nd rowPHMG120213030033047000129
3rd rowPHMG120063090033047000005
4th rowPHMG120243150037047000016
5th rowPHMG120153140033047000111
ValueCountFrequency (%)
phmg120213120033047000060 1
 
< 0.1%
phmg120093030033047000003 1
 
< 0.1%
phmg120143010033047000067 1
 
< 0.1%
phmg120223010033047000137 1
 
< 0.1%
phmg120033100034047000017 1
 
< 0.1%
phmg120103140033047000053 1
 
< 0.1%
phmg120143060034047000072 1
 
< 0.1%
phmg120223130033047000075 1
 
< 0.1%
phmg120223110032047000215 1
 
< 0.1%
phmg120153090033047000028 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T03:54:21.235446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88596
35.4%
3 31018
 
12.4%
1 24659
 
9.9%
2 22217
 
8.9%
4 18075
 
7.2%
7 13083
 
5.2%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 12352
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210000
84.0%
Uppercase Letter 40000
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88596
42.2%
3 31018
 
14.8%
1 24659
 
11.7%
2 22217
 
10.6%
4 18075
 
8.6%
7 13083
 
6.2%
5 3684
 
1.8%
6 3055
 
1.5%
9 2826
 
1.3%
8 2787
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210000
84.0%
Latin 40000
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88596
42.2%
3 31018
 
14.8%
1 24659
 
11.7%
2 22217
 
10.6%
4 18075
 
8.6%
7 13083
 
6.2%
5 3684
 
1.8%
6 3055
 
1.5%
9 2826
 
1.3%
8 2787
 
1.3%
Latin
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88596
35.4%
3 31018
 
12.4%
1 24659
 
9.9%
2 22217
 
8.9%
4 18075
 
7.2%
7 13083
 
5.2%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 12352
 
4.9%

인허가일자
Date

Distinct4170
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1974-11-18 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T03:54:21.836035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:54:22.544351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct294
Distinct (%)75.2%
Missing9609
Missing (%)96.1%
Memory size156.2 KiB
Minimum2008-11-17 00:00:00
Maximum2024-04-05 00:00:00
2024-05-11T03:54:23.155141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:54:23.690271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
4730 
1
4564 
4
 
390
5
 
306
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 4730
47.3%
1 4564
45.6%
4 390
 
3.9%
5 306
 
3.1%
2 10
 
0.1%

Length

2024-05-11T03:54:24.210402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:54:24.638019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4730
47.3%
1 4564
45.6%
4 390
 
3.9%
5 306
 
3.1%
2 10
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
4730 
영업/정상
4564 
취소/말소/만료/정지/중지
 
390
제외/삭제/전출
 
306
휴업
 
10

Length

Max length14
Median length8
Mean length4.0208
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 4730
47.3%
영업/정상 4564
45.6%
취소/말소/만료/정지/중지 390
 
3.9%
제외/삭제/전출 306
 
3.1%
휴업 10
 
0.1%

Length

2024-05-11T03:54:25.057112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:54:25.495049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 4730
47.3%
영업/정상 4564
45.6%
취소/말소/만료/정지/중지 390
 
3.9%
제외/삭제/전출 306
 
3.1%
휴업 10
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8332
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T03:54:25.972999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile15
Maximum99
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.5035688
Coefficient of variation (CV)0.73626419
Kurtosis35.534816
Mean8.8332
Median Absolute Deviation (MAD)10
Skewness2.9632707
Sum88332
Variance42.296407
MonotonicityNot monotonic
2024-05-11T03:54:26.346269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 4730
47.3%
13 4564
45.6%
24 390
 
3.9%
15 296
 
3.0%
99 10
 
0.1%
2 10
 
0.1%
ValueCountFrequency (%)
2 10
 
0.1%
3 4730
47.3%
13 4564
45.6%
15 296
 
3.0%
24 390
 
3.9%
99 10
 
0.1%
ValueCountFrequency (%)
99 10
 
0.1%
24 390
 
3.9%
15 296
 
3.0%
13 4564
45.6%
3 4730
47.3%
2 10
 
0.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
4730 
영업중
4564 
직권폐업
 
390
전출
 
296
삭제
 
10

Length

Max length4
Median length2
Mean length2.5344
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 4730
47.3%
영업중 4564
45.6%
직권폐업 390
 
3.9%
전출 296
 
3.0%
삭제 10
 
0.1%
휴업 10
 
0.1%

Length

2024-05-11T03:54:26.784997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:54:27.138187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 4730
47.3%
영업중 4564
45.6%
직권폐업 390
 
3.9%
전출 296
 
3.0%
삭제 10
 
0.1%
휴업 10
 
0.1%

폐업일자
Date

MISSING 

Distinct2600
Distinct (%)52.1%
Missing5009
Missing (%)50.1%
Memory size156.2 KiB
Minimum1998-03-19 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T03:54:27.616127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:54:28.081187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)81.8%
Missing9989
Missing (%)99.9%
Memory size156.2 KiB
Minimum2015-03-07 00:00:00
Maximum2023-10-17 00:00:00
2024-05-11T03:54:28.574343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:54:29.068727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing9988
Missing (%)99.9%
Memory size156.2 KiB
2024-05-11T03:54:29.496493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.8333333
Min length8

Characters and Unicode

Total characters106
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

Unique12 ?
Unique (%)100.0%

Sample

1st row2028-06-21
2nd row20241225
3rd row2026-06-20
4th row20230101
5th row2024-10-15
ValueCountFrequency (%)
2028-06-21 1
8.3%
20241225 1
8.3%
2026-06-20 1
8.3%
20230101 1
8.3%
2024-10-15 1
8.3%
20220517 1
8.3%
2024-06-30 1
8.3%
99991231 1
8.3%
20160306 1
8.3%
20231228 1
8.3%
Other values (2) 2
16.7%
2024-05-11T03:54:30.559079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 32
30.2%
0 24
22.6%
1 12
 
11.3%
- 10
 
9.4%
6 7
 
6.6%
3 7
 
6.6%
9 5
 
4.7%
4 3
 
2.8%
5 3
 
2.8%
8 2
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
90.6%
Dash Punctuation 10
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 32
33.3%
0 24
25.0%
1 12
 
12.5%
6 7
 
7.3%
3 7
 
7.3%
9 5
 
5.2%
4 3
 
3.1%
5 3
 
3.1%
8 2
 
2.1%
7 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 32
30.2%
0 24
22.6%
1 12
 
11.3%
- 10
 
9.4%
6 7
 
6.6%
3 7
 
6.6%
9 5
 
4.7%
4 3
 
2.8%
5 3
 
2.8%
8 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 32
30.2%
0 24
22.6%
1 12
 
11.3%
- 10
 
9.4%
6 7
 
6.6%
3 7
 
6.6%
9 5
 
4.7%
4 3
 
2.8%
5 3
 
2.8%
8 2
 
1.9%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct4196
Distinct (%)96.2%
Missing5637
Missing (%)56.4%
Memory size156.2 KiB
2024-05-11T03:54:31.302527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.541371
Min length2

Characters and Unicode

Total characters45992
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

Unique4058 ?
Unique (%)93.0%

Sample

1st row02-360-0308
2nd row3493-4975
3rd row02-521-3305
4th row945-8076
5th row02-333-2717
ValueCountFrequency (%)
02-3284-8116 12
 
0.3%
7
 
0.2%
02-3284-8112 6
 
0.1%
1577-0711 5
 
0.1%
02 5
 
0.1%
02-396-3875 3
 
0.1%
02-2135-6226 3
 
0.1%
02-358-0417 3
 
0.1%
02-778-4225 3
 
0.1%
02-492-5255 3
 
0.1%
Other values (4192) 4323
98.9%
2024-05-11T03:54:32.757753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7234
15.7%
2 6649
14.5%
0 6441
14.0%
7 3840
8.3%
3 3675
8.0%
4 3210
7.0%
5 3124
6.8%
9 3123
6.8%
1 2932
6.4%
8 2862
 
6.2%
Other values (6) 2902
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38716
84.2%
Dash Punctuation 7234
 
15.7%
Math Symbol 19
 
< 0.1%
Space Separator 10
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6649
17.2%
0 6441
16.6%
7 3840
9.9%
3 3675
9.5%
4 3210
8.3%
5 3124
8.1%
9 3123
8.1%
1 2932
7.6%
8 2862
7.4%
6 2860
7.4%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 7234
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45992
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7234
15.7%
2 6649
14.5%
0 6441
14.0%
7 3840
8.3%
3 3675
8.0%
4 3210
7.0%
5 3124
6.8%
9 3123
6.8%
1 2932
6.4%
8 2862
 
6.2%
Other values (6) 2902
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7234
15.7%
2 6649
14.5%
0 6441
14.0%
7 3840
8.3%
3 3675
8.0%
4 3210
7.0%
5 3124
6.8%
9 3123
6.8%
1 2932
6.4%
8 2862
 
6.2%
Other values (6) 2902
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Text

MISSING 

Distinct1250
Distinct (%)39.6%
Missing6841
Missing (%)68.4%
Memory size156.2 KiB
2024-05-11T03:54:34.087227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0307059
Min length5

Characters and Unicode

Total characters19051
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

Unique620 ?
Unique (%)19.6%

Sample

1st row132839
2nd row110170
3rd row122030
4th row139811
5th row132916
ValueCountFrequency (%)
130845 46
 
1.5%
100130 28
 
0.9%
100161 28
 
0.9%
110123 27
 
0.9%
121210 19
 
0.6%
139807 17
 
0.5%
131848 17
 
0.5%
121220 16
 
0.5%
139816 16
 
0.5%
121250 16
 
0.5%
Other values (1240) 2929
92.7%
2024-05-11T03:54:35.796140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5033
26.4%
0 2779
14.6%
8 2475
13.0%
3 2368
12.4%
2 1999
 
10.5%
4 1152
 
6.0%
9 883
 
4.6%
5 797
 
4.2%
7 774
 
4.1%
6 680
 
3.6%
Other values (2) 111
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18940
99.4%
Dash Punctuation 103
 
0.5%
Space Separator 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5033
26.6%
0 2779
14.7%
8 2475
13.1%
3 2368
12.5%
2 1999
 
10.6%
4 1152
 
6.1%
9 883
 
4.7%
5 797
 
4.2%
7 774
 
4.1%
6 680
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19051
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5033
26.4%
0 2779
14.6%
8 2475
13.0%
3 2368
12.4%
2 1999
 
10.5%
4 1152
 
6.0%
9 883
 
4.6%
5 797
 
4.2%
7 774
 
4.1%
6 680
 
3.6%
Other values (2) 111
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5033
26.4%
0 2779
14.6%
8 2475
13.0%
3 2368
12.4%
2 1999
 
10.5%
4 1152
 
6.0%
9 883
 
4.6%
5 797
 
4.2%
7 774
 
4.1%
6 680
 
3.6%
Other values (2) 111
 
0.6%

지번주소
Text

MISSING 

Distinct6680
Distinct (%)71.3%
Missing633
Missing (%)6.3%
Memory size156.2 KiB
2024-05-11T03:54:36.761434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length47
Mean length25.847016
Min length6

Characters and Unicode

Total characters242109
Distinct characters631
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5508 ?
Unique (%)58.8%

Sample

1st row서울특별시 서대문구 충정로*가 *** 동아일보사건물 *층
2nd row서울특별시 성동구 성수동*가 **-** Biz Well 성수
3rd row서울특별시 도봉구 방학*동 ***번지 **호 *층
4th row서울특별시 강서구 마곡동 ***-* 리더스퀘어마곡
5th row서울특별시 양천구 신정동 ***번지 ***호
ValueCountFrequency (%)
서울특별시 9119
18.2%
호 5025
 
10.1%
5000
 
10.0%
번지 4196
 
8.4%
층 1917
 
3.8%
마포구 827
 
1.7%
중구 654
 
1.3%
광진구 592
 
1.2%
동대문구 579
 
1.2%
중랑구 505
 
1.0%
Other values (3980) 21570
43.2%
2024-05-11T03:54:38.175514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 48973
20.2%
40975
16.9%
동 10943
 
4.5%
서 10476
 
4.3%
구 9623
 
4.0%
시 9323
 
3.9%
울 9236
 
3.8%
별 9128
 
3.8%
특 9123
 
3.8%
호 5450
 
2.3%
Other values (621) 78859
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145500
60.1%
Other Punctuation 49363
 
20.4%
Space Separator 40975
 
16.9%
Dash Punctuation 4217
 
1.7%
Uppercase Letter 942
 
0.4%
Decimal Number 566
 
0.2%
Open Punctuation 184
 
0.1%
Close Punctuation 184
 
0.1%
Lowercase Letter 127
 
0.1%
Letter Number 30
 
< 0.1%
Other values (2) 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10943
 
7.5%
서 10476
 
7.2%
구 9623
 
6.6%
시 9323
 
6.4%
울 9236
 
6.3%
별 9128
 
6.3%
특 9123
 
6.3%
호 5450
 
3.7%
지 4932
 
3.4%
번 4329
 
3.0%
Other values (546) 62937
43.3%
Uppercase Letter
ValueCountFrequency (%)
B 128
13.6%
A 120
12.7%
T 68
 
7.2%
S 66
 
7.0%
C 58
 
6.2%
K 51
 
5.4%
E 49
 
5.2%
R 45
 
4.8%
D 44
 
4.7%
M 41
 
4.4%
Other values (16) 272
28.9%
Lowercase Letter
ValueCountFrequency (%)
e 32
25.2%
r 10
 
7.9%
n 10
 
7.9%
a 9
 
7.1%
o 8
 
6.3%
t 7
 
5.5%
c 7
 
5.5%
l 7
 
5.5%
i 6
 
4.7%
s 5
 
3.9%
Other values (10) 26
20.5%
Decimal Number
ValueCountFrequency (%)
1 127
22.4%
2 84
14.8%
3 56
9.9%
5 55
9.7%
4 54
9.5%
0 48
 
8.5%
7 44
 
7.8%
6 39
 
6.9%
9 31
 
5.5%
8 28
 
4.9%
Other Punctuation
ValueCountFrequency (%)
* 48973
99.2%
, 316
 
0.6%
. 52
 
0.1%
/ 9
 
< 0.1%
& 7
 
< 0.1%
? 4
 
< 0.1%
' 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 13
43.3%
Ⅰ 8
26.7%
Ⅲ 8
26.7%
Ⅳ 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 183
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 183
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
40975
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4217
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145502
60.1%
Common 95508
39.4%
Latin 1099
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10943
 
7.5%
서 10476
 
7.2%
구 9623
 
6.6%
시 9323
 
6.4%
울 9236
 
6.3%
별 9128
 
6.3%
특 9123
 
6.3%
호 5450
 
3.7%
지 4932
 
3.4%
번 4329
 
3.0%
Other values (547) 62939
43.3%
Latin
ValueCountFrequency (%)
B 128
 
11.6%
A 120
 
10.9%
T 68
 
6.2%
S 66
 
6.0%
C 58
 
5.3%
K 51
 
4.6%
E 49
 
4.5%
R 45
 
4.1%
D 44
 
4.0%
M 41
 
3.7%
Other values (40) 429
39.0%
Common
ValueCountFrequency (%)
* 48973
51.3%
40975
42.9%
- 4217
 
4.4%
, 316
 
0.3%
( 183
 
0.2%
) 183
 
0.2%
1 127
 
0.1%
2 84
 
0.1%
3 56
 
0.1%
5 55
 
0.1%
Other values (14) 339
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145499
60.1%
ASCII 96577
39.9%
Number Forms 30
 
< 0.1%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 48973
50.7%
40975
42.4%
- 4217
 
4.4%
, 316
 
0.3%
( 183
 
0.2%
) 183
 
0.2%
B 128
 
0.1%
1 127
 
0.1%
A 120
 
0.1%
2 84
 
0.1%
Other values (60) 1271
 
1.3%
Hangul
ValueCountFrequency (%)
동 10943
 
7.5%
서 10476
 
7.2%
구 9623
 
6.6%
시 9323
 
6.4%
울 9236
 
6.3%
별 9128
 
6.3%
특 9123
 
6.3%
호 5450
 
3.7%
지 4932
 
3.4%
번 4329
 
3.0%
Other values (545) 62936
43.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 13
43.3%
Ⅰ 8
26.7%
Ⅲ 8
26.7%
Ⅳ 1
 
3.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

도로명주소
Text

MISSING 

Distinct7657
Distinct (%)85.8%
Missing1074
Missing (%)10.7%
Memory size156.2 KiB
2024-05-11T03:54:39.292650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length58
Mean length34.618978
Min length14

Characters and Unicode

Total characters309009
Distinct characters653
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6836 ?
Unique (%)76.6%

Sample

1st row서울특별시 서대문구 충정로 **, 동아일보사건물 *층 (충정로*가)
2nd row서울특별시 성동구 뚝섬로*길 **, Biz Well 성수 ***호 (성수동*가)
3rd row서울특별시 도봉구 시루봉로 ***, *층 (방학동)
4th row서울특별시 강서구 마곡중앙*로 **, 리더스퀘어마곡 A동 *층 ***-C**호 (마곡동)
5th row서울특별시 양천구 신목로*길 *, *층 (신정동)
ValueCountFrequency (%)
서울특별시 8925
 
14.8%
8849
 
14.7%
층 4289
 
7.1%
호 3875
 
6.4%
마포구 788
 
1.3%
중구 625
 
1.0%
광진구 556
 
0.9%
동대문구 509
 
0.8%
성동구 476
 
0.8%
노원구 476
 
0.8%
Other values (5700) 30787
51.2%
2024-05-11T03:54:40.975827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 51412
16.6%
51285
16.6%
동 11993
 
3.9%
서 10536
 
3.4%
, 10368
 
3.4%
로 9866
 
3.2%
구 9475
 
3.1%
시 9219
 
3.0%
울 9065
 
2.9%
) 8982
 
2.9%
Other values (643) 126808
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174005
56.3%
Other Punctuation 61821
 
20.0%
Space Separator 51285
 
16.6%
Close Punctuation 8982
 
2.9%
Open Punctuation 8982
 
2.9%
Dash Punctuation 1540
 
0.5%
Uppercase Letter 1381
 
0.4%
Decimal Number 758
 
0.2%
Lowercase Letter 167
 
0.1%
Math Symbol 51
 
< 0.1%
Other values (2) 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11993
 
6.9%
서 10536
 
6.1%
로 9866
 
5.7%
구 9475
 
5.4%
시 9219
 
5.3%
울 9065
 
5.2%
별 8937
 
5.1%
특 8930
 
5.1%
층 5181
 
3.0%
호 4971
 
2.9%
Other values (567) 85832
49.3%
Uppercase Letter
ValueCountFrequency (%)
B 287
20.8%
A 197
14.3%
C 89
 
6.4%
T 89
 
6.4%
S 72
 
5.2%
D 62
 
4.5%
E 62
 
4.5%
R 59
 
4.3%
K 56
 
4.1%
I 49
 
3.5%
Other values (16) 359
26.0%
Lowercase Letter
ValueCountFrequency (%)
e 38
22.8%
b 17
10.2%
r 13
 
7.8%
n 12
 
7.2%
o 11
 
6.6%
c 9
 
5.4%
w 8
 
4.8%
l 7
 
4.2%
a 7
 
4.2%
i 7
 
4.2%
Other values (12) 38
22.8%
Decimal Number
ValueCountFrequency (%)
1 212
28.0%
2 104
13.7%
0 81
 
10.7%
3 80
 
10.6%
5 53
 
7.0%
6 52
 
6.9%
4 51
 
6.7%
8 50
 
6.6%
9 38
 
5.0%
7 37
 
4.9%
Other Punctuation
ValueCountFrequency (%)
* 51412
83.2%
, 10368
 
16.8%
. 15
 
< 0.1%
/ 8
 
< 0.1%
& 7
 
< 0.1%
? 7
 
< 0.1%
@ 2
 
< 0.1%
' 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 17
48.6%
Ⅲ 9
25.7%
Ⅰ 8
22.9%
Ⅳ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
51285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8982
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8982
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1540
100.0%
Math Symbol
ValueCountFrequency (%)
~ 51
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174007
56.3%
Common 133419
43.2%
Latin 1583
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11993
 
6.9%
서 10536
 
6.1%
로 9866
 
5.7%
구 9475
 
5.4%
시 9219
 
5.3%
울 9065
 
5.2%
별 8937
 
5.1%
특 8930
 
5.1%
층 5181
 
3.0%
호 4971
 
2.9%
Other values (568) 85834
49.3%
Latin
ValueCountFrequency (%)
B 287
18.1%
A 197
 
12.4%
C 89
 
5.6%
T 89
 
5.6%
S 72
 
4.5%
D 62
 
3.9%
E 62
 
3.9%
R 59
 
3.7%
K 56
 
3.5%
I 49
 
3.1%
Other values (42) 561
35.4%
Common
ValueCountFrequency (%)
* 51412
38.5%
51285
38.4%
, 10368
 
7.8%
) 8982
 
6.7%
( 8982
 
6.7%
- 1540
 
1.2%
1 212
 
0.2%
2 104
 
0.1%
0 81
 
0.1%
3 80
 
0.1%
Other values (13) 373
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174005
56.3%
ASCII 134967
43.7%
Number Forms 35
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 51412
38.1%
51285
38.0%
, 10368
 
7.7%
) 8982
 
6.7%
( 8982
 
6.7%
- 1540
 
1.1%
B 287
 
0.2%
1 212
 
0.2%
A 197
 
0.1%
2 104
 
0.1%
Other values (61) 1598
 
1.2%
Hangul
ValueCountFrequency (%)
동 11993
 
6.9%
서 10536
 
6.1%
로 9866
 
5.7%
구 9475
 
5.4%
시 9219
 
5.3%
울 9065
 
5.2%
별 8937
 
5.1%
특 8930
 
5.1%
층 5181
 
3.0%
호 4971
 
2.9%
Other values (567) 85832
49.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 17
48.6%
Ⅲ 9
25.7%
Ⅰ 8
22.9%
Ⅳ 1
 
2.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct3404
Distinct (%)40.6%
Missing1609
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean15455.494
Minimum1002
Maximum158882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T03:54:41.613048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile1385.5
Q13085
median4530
Q36629
95-th percentile131230
Maximum158882
Range157880
Interquartile range (IQR)3544

Descriptive statistics

Standard deviation35777.088
Coefficient of variation (CV)2.314846
Kurtosis7.0421686
Mean15455.494
Median Absolute Deviation (MAD)1709
Skewness2.9753246
Sum1.2968705 × 108
Variance1.28 × 109
MonotonicityNot monotonic
2024-05-11T03:54:42.190914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4512 34
 
0.3%
5116 33
 
0.3%
4794 30
 
0.3%
4511 29
 
0.3%
5838 26
 
0.3%
4808 26
 
0.3%
4366 25
 
0.2%
4527 25
 
0.2%
4072 24
 
0.2%
3193 23
 
0.2%
Other values (3394) 8116
81.2%
(Missing) 1609
 
16.1%
ValueCountFrequency (%)
1002 3
< 0.1%
1004 1
 
< 0.1%
1006 2
< 0.1%
1009 1
 
< 0.1%
1012 1
 
< 0.1%
1014 3
< 0.1%
1021 2
< 0.1%
1024 1
 
< 0.1%
1030 2
< 0.1%
1031 1
 
< 0.1%
ValueCountFrequency (%)
158882 1
 
< 0.1%
158861 1
 
< 0.1%
158860 6
0.1%
158859 1
 
< 0.1%
158857 5
0.1%
158852 1
 
< 0.1%
158851 1
 
< 0.1%
158841 3
< 0.1%
158840 1
 
< 0.1%
158825 1
 
< 0.1%

사업장명
Text

Distinct9468
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T03:54:42.989573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length33
Mean length8.1764
Min length1

Characters and Unicode

Total characters81764
Distinct characters901
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9061 ?
Unique (%)90.6%

Sample

1st row(주)동아닷컴
2nd row엠아이테크
3rd row조은메디칼
4th row주식회사 킨다
5th row양천구 해바라기 재가복지센터
ValueCountFrequency (%)
주식회사 726
 
5.3%
주)코리아세븐 329
 
2.4%
씨유 315
 
2.3%
세븐일레븐 184
 
1.4%
gs25 139
 
1.0%
지에스25 112
 
0.8%
씨제이올리브영(주 70
 
0.5%
지에스(gs)25 51
 
0.4%
주)아성다이소 29
 
0.2%
cu 29
 
0.2%
Other values (9834) 11597
85.4%
2024-05-11T03:54:44.568499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3587
 
4.4%
주 3024
 
3.7%
이 2694
 
3.3%
점 2646
 
3.2%
) 2604
 
3.2%
( 2602
 
3.2%
스 2498
 
3.1%
리 1573
 
1.9%
디 1476
 
1.8%
메 1427
 
1.7%
Other values (891) 57633
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67814
82.9%
Space Separator 3587
 
4.4%
Close Punctuation 2604
 
3.2%
Open Punctuation 2602
 
3.2%
Uppercase Letter 2374
 
2.9%
Decimal Number 1386
 
1.7%
Lowercase Letter 895
 
1.1%
Other Symbol 333
 
0.4%
Other Punctuation 143
 
0.2%
Dash Punctuation 24
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3024
 
4.5%
이 2694
 
4.0%
점 2646
 
3.9%
스 2498
 
3.7%
리 1573
 
2.3%
디 1476
 
2.2%
메 1427
 
2.1%
아 1338
 
2.0%
사 1273
 
1.9%
에 1246
 
1.8%
Other values (818) 48619
71.7%
Lowercase Letter
ValueCountFrequency (%)
e 112
12.5%
a 92
10.3%
o 78
 
8.7%
i 73
 
8.2%
n 67
 
7.5%
r 58
 
6.5%
t 56
 
6.3%
l 54
 
6.0%
d 54
 
6.0%
c 50
 
5.6%
Other values (16) 201
22.5%
Uppercase Letter
ValueCountFrequency (%)
S 484
20.4%
G 365
15.4%
C 208
 
8.8%
U 120
 
5.1%
A 106
 
4.5%
H 103
 
4.3%
M 93
 
3.9%
B 89
 
3.7%
E 89
 
3.7%
T 83
 
3.5%
Other values (15) 634
26.7%
Decimal Number
ValueCountFrequency (%)
2 605
43.7%
5 501
36.1%
1 83
 
6.0%
4 60
 
4.3%
3 51
 
3.7%
6 21
 
1.5%
9 19
 
1.4%
7 18
 
1.3%
0 14
 
1.0%
8 14
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 69
48.3%
& 49
34.3%
, 17
 
11.9%
? 7
 
4.9%
/ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
3587
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2604
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2602
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68146
83.3%
Common 10348
 
12.7%
Latin 3269
 
4.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3024
 
4.4%
이 2694
 
4.0%
점 2646
 
3.9%
스 2498
 
3.7%
리 1573
 
2.3%
디 1476
 
2.2%
메 1427
 
2.1%
아 1338
 
2.0%
사 1273
 
1.9%
에 1246
 
1.8%
Other values (818) 48951
71.8%
Latin
ValueCountFrequency (%)
S 484
 
14.8%
G 365
 
11.2%
C 208
 
6.4%
U 120
 
3.7%
e 112
 
3.4%
A 106
 
3.2%
H 103
 
3.2%
M 93
 
2.8%
a 92
 
2.8%
B 89
 
2.7%
Other values (41) 1497
45.8%
Common
ValueCountFrequency (%)
3587
34.7%
) 2604
25.2%
( 2602
25.1%
2 605
 
5.8%
5 501
 
4.8%
1 83
 
0.8%
. 69
 
0.7%
4 60
 
0.6%
3 51
 
0.5%
& 49
 
0.5%
Other values (11) 137
 
1.3%
Han
ValueCountFrequency (%)
姸 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67813
82.9%
ASCII 13617
 
16.7%
None 333
 
0.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3587
26.3%
) 2604
19.1%
( 2602
19.1%
2 605
 
4.4%
5 501
 
3.7%
S 484
 
3.6%
G 365
 
2.7%
C 208
 
1.5%
U 120
 
0.9%
e 112
 
0.8%
Other values (62) 2429
17.8%
Hangul
ValueCountFrequency (%)
주 3024
 
4.5%
이 2694
 
4.0%
점 2646
 
3.9%
스 2498
 
3.7%
리 1573
 
2.3%
디 1476
 
2.2%
메 1427
 
2.1%
아 1338
 
2.0%
사 1273
 
1.9%
에 1246
 
1.8%
Other values (817) 48618
71.7%
None
ValueCountFrequency (%)
㈜ 333
100.0%
CJK
ValueCountFrequency (%)
姸 1
100.0%

최종수정일자
Date

Distinct9861
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2008-10-09 00:00:00
Maximum2024-05-09 17:51:31
2024-05-11T03:54:45.101064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:54:45.685352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6245 
U
3753 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6245
62.5%
U 3753
37.5%
D 2
 
< 0.1%

Length

2024-05-11T03:54:46.050353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:54:46.326174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6245
62.5%
u 3753
37.5%
d 2
 
< 0.1%

데이터갱신일자
Date

Distinct1492
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T03:54:46.639520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:54:47.071463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6759
Distinct (%)74.8%
Missing958
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean199877.73
Minimum182524.82
Maximum218281.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T03:54:47.504418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182524.82
5-th percentile188045.89
Q1194301.3
median201460.17
Q3205079.42
95-th percentile208584.9
Maximum218281.16
Range35756.336
Interquartile range (IQR)10778.113

Descriptive statistics

Standard deviation6540.1927
Coefficient of variation (CV)0.032720967
Kurtosis-0.71120403
Mean199877.73
Median Absolute Deviation (MAD)4729.9843
Skewness-0.39348749
Sum1.8072945 × 109
Variance42774121
MonotonicityNot monotonic
2024-05-11T03:54:47.970837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205787.106208763 46
 
0.5%
197462.198757043 37
 
0.4%
208394.416382167 30
 
0.3%
210986.460698452 27
 
0.3%
192652.282023976 18
 
0.2%
194301.304865904 16
 
0.2%
204966.098616157 16
 
0.2%
198259.65357739 14
 
0.1%
195764.944565229 14
 
0.1%
188953.066831076 13
 
0.1%
Other values (6749) 8811
88.1%
(Missing) 958
 
9.6%
ValueCountFrequency (%)
182524.823835629 1
< 0.1%
182941.05762285 1
< 0.1%
182977.186875111 1
< 0.1%
182984.891498757 1
< 0.1%
183006.538522749 1
< 0.1%
183007.220061564 1
< 0.1%
183166.343309141 1
< 0.1%
183262.689158168 1
< 0.1%
183282.564395394 1
< 0.1%
183307.197874057 1
< 0.1%
ValueCountFrequency (%)
218281.159611217 1
< 0.1%
215898.113091143 1
< 0.1%
215888.898816 1
< 0.1%
215496.149626989 1
< 0.1%
215422.746119624 1
< 0.1%
215366.063352066 1
< 0.1%
215314.746342111 1
< 0.1%
215144.766442481 1
< 0.1%
215111.246226477 1
< 0.1%
214990.052555942 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6758
Distinct (%)74.7%
Missing958
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean451319.3
Minimum437689.38
Maximum465123.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T03:54:48.342350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437689.38
5-th percentile442563.27
Q1448165.28
median450978.09
Q3454477.94
95-th percentile461226.68
Maximum465123.84
Range27434.457
Interquartile range (IQR)6312.6598

Descriptive statistics

Standard deviation5190.3774
Coefficient of variation (CV)0.011500455
Kurtosis-0.2023872
Mean451319.3
Median Absolute Deviation (MAD)3109.8158
Skewness0.23906667
Sum4.0808291 × 109
Variance26940017
MonotonicityNot monotonic
2024-05-11T03:54:48.718942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451191.34653897 46
 
0.5%
450878.211786274 37
 
0.4%
448165.279999905 30
 
0.3%
441725.293491662 27
 
0.3%
449483.723207355 18
 
0.2%
449159.452779834 16
 
0.2%
449388.053900946 16
 
0.2%
451392.198218657 14
 
0.1%
449028.002731859 14
 
0.1%
447333.569187997 13
 
0.1%
Other values (6748) 8811
88.1%
(Missing) 958
 
9.6%
ValueCountFrequency (%)
437689.38449215 1
< 0.1%
437773.047519431 1
< 0.1%
437914.06299827 2
< 0.1%
438410.522111193 1
< 0.1%
438583.251827435 1
< 0.1%
438643.134944995 1
< 0.1%
438690.814038292 1
< 0.1%
438701.205634976 1
< 0.1%
438941.792191344 1
< 0.1%
438973.933342817 1
< 0.1%
ValueCountFrequency (%)
465123.841705959 1
 
< 0.1%
465106.406054016 1
 
< 0.1%
465076.350406458 2
< 0.1%
465011.262691591 1
 
< 0.1%
464840.183818755 1
 
< 0.1%
464819.528370118 1
 
< 0.1%
464814.717432497 1
 
< 0.1%
464809.001444881 1
 
< 0.1%
464788.229274616 1
 
< 0.1%
464779.326449954 3
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
268263120000PHMG1202131200330470000602021-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-360-0308<NA><NA>서울특별시 서대문구 충정로*가 *** 동아일보사건물 *층서울특별시 서대문구 충정로 **, 동아일보사건물 *층 (충정로*가)03737(주)동아닷컴2024-04-25 17:19:56U2023-12-03 22:07:00.0<NA>196694.508583451070.35971<NA><NA><NA><NA>
157543030000PHMG1202130300330470001292021-06-28<NA>3폐업3폐업2023-12-27<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-** Biz Well 성수서울특별시 성동구 뚝섬로*길 **, Biz Well 성수 ***호 (성수동*가)04780엠아이테크2023-12-27 17:09:11U2022-11-01 21:00:00.0<NA>204321.668357448817.329183<NA><NA><NA><NA>
229133090000PHMG12006309003304700000520060222<NA>1영업/정상13영업중<NA><NA><NA><NA>3493-4975<NA>132839서울특별시 도봉구 방학*동 ***번지 **호 *층서울특별시 도봉구 시루봉로 ***, *층 (방학동)01315조은메디칼2011-11-15 14:39:04I2018-08-31 23:59:59.0<NA>202791.379927462718.880054<NA><NA><NA><NA>
54723150000PHMG1202431500370470000162024-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 리더스퀘어마곡서울특별시 강서구 마곡중앙*로 **, 리더스퀘어마곡 A동 *층 ***-C**호 (마곡동)07802주식회사 킨다2024-02-08 16:02:21I2023-12-01 23:01:00.0<NA>185127.285385450939.221091<NA><NA><NA><NA>
297323140000PHMG12015314003304700011120151203<NA>3폐업3폐업20170616<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***번지 ***호서울특별시 양천구 신목로*길 *, *층 (신정동)08015양천구 해바라기 재가복지센터2017-06-19 09:23:01I2018-08-31 23:59:59.0<NA>188850.355554446301.579648<NA><NA><NA><NA>
79973160000PHMG1202231600340470001702022-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 이앤씨벤처드림타워*차서울특별시 구로구 디지털로**길 **-**, 이앤씨벤처드림타워*차 ***-*호 (구로동)08376세븐일레븐 구로이앤씨점2023-09-08 17:20:37U2022-12-08 23:00:00.0<NA>190541.499138442708.14086<NA><NA><NA><NA>
108563000000PHMG12010300003404700002620100806201110253폐업3폐업20111025<NA><NA><NA><NA><NA>110170서울특별시 종로구 견지동 ***번지 대성스카이렉스 ***동 ****호서울특별시 종로구 삼봉로 **, ***동 ****호 (견지동,대성스카이렉스)110170상상파크2011-10-25 17:19:56I2018-08-31 23:59:59.0<NA>198386.829871452237.303785<NA><NA><NA><NA>
79453070000PHMG12022307003404700020720220816<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동*가 ***-**서울특별시 성북구 고려대로**가길 *, *층 (안암동*가)02856GS25 고대타운점2022-08-16 16:19:38I2021-12-07 23:08:00.0<NA>202565.041346453673.172604<NA><NA><NA><NA>
102413180000PHMG12021318003404700020720181024<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 영창빌딩서울특별시 영등포구 여의대방로**길 **, 영창빌딩 ***-A호 (여의도동)07343주식회사 제우커뮤니티2022-04-25 16:18:17U2021-12-03 22:07:00.0<NA>193999.840415446201.591131<NA><NA><NA><NA>
75613190000PHMG12022319003304700011220150212<NA>1영업/정상13영업중<NA><NA><NA><NA>02-521-3305<NA><NA>서울특별시 동작구 사당동 ***-* 남서울농협남성지점 ***호서울특별시 동작구 사당로**길 **, 남서울농협남성지점 ***호 (사당동)07011세광상사2022-06-02 13:59:40I2021-12-06 00:04:00.0<NA>197535.085471442196.803776<NA><NA><NA><NA>
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