Overview

Dataset statistics

Number of variables30
Number of observations3769
Missing cells29904
Missing cells (%)26.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory938.7 KiB
Average record size in memory255.0 B

Variable types

Numeric5
DateTime4
Unsupported6
Categorical10
Text5

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),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16008/S/1/datasetView.do

Alerts

영업상태코드 is highly imbalanced (52.0%)Imbalance
영업상태명 is highly imbalanced (52.0%)Imbalance
상세영업상태코드 is highly imbalanced (58.5%)Imbalance
상세영업상태명 is highly imbalanced (58.5%)Imbalance
휴업시작일자 is highly imbalanced (99.6%)Imbalance
휴업종료일자 is highly imbalanced (99.6%)Imbalance
총인원 is highly imbalanced (53.3%)Imbalance
인허가취소일자 has 3769 (100.0%) missing valuesMissing
폐업일자 has 2450 (65.0%) missing valuesMissing
재개업일자 has 3769 (100.0%) missing valuesMissing
전화번호 has 1253 (33.2%) missing valuesMissing
소재지면적 has 2574 (68.3%) missing valuesMissing
소재지우편번호 has 3769 (100.0%) missing valuesMissing
지번주소 has 124 (3.3%) missing valuesMissing
도로명주소 has 200 (5.3%) missing valuesMissing
도로명우편번호 has 299 (7.9%) missing valuesMissing
업태구분명 has 3769 (100.0%) missing valuesMissing
좌표정보(X) has 195 (5.2%) missing valuesMissing
좌표정보(Y) has 195 (5.2%) missing valuesMissing
축산물가공업구분명 has 3769 (100.0%) missing valuesMissing
축산일련번호 has 3769 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 25.44417344)Skewed
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
소재지우편번호 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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1025 (27.2%) zerosZeros

Reproduction

Analysis started2024-04-29 18:48:52.879767
Analysis finished2024-04-29 18:48:54.274616
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3140650
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.3 KiB
2024-04-30T03:48:54.333328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13080000
median3150000
Q33210000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation72370.954
Coefficient of variation (CV)0.023043304
Kurtosis-1.1568149
Mean3140650
Median Absolute Deviation (MAD)60000
Skewness-0.29862602
Sum1.183711 × 1010
Variance5.237555 × 109
MonotonicityNot monotonic
2024-04-30T03:48:54.432014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 383
 
10.2%
3230000 269
 
7.1%
3210000 225
 
6.0%
3240000 199
 
5.3%
3150000 188
 
5.0%
3200000 187
 
5.0%
3100000 166
 
4.4%
3130000 163
 
4.3%
3110000 156
 
4.1%
3180000 143
 
3.8%
Other values (15) 1690
44.8%
ValueCountFrequency (%)
3000000 113
3.0%
3010000 84
2.2%
3020000 58
1.5%
3030000 108
2.9%
3040000 127
3.4%
3050000 124
3.3%
3060000 128
3.4%
3070000 121
3.2%
3080000 127
3.4%
3090000 127
3.4%
ValueCountFrequency (%)
3240000 199
5.3%
3230000 269
7.1%
3220000 383
10.2%
3210000 225
6.0%
3200000 187
5.0%
3190000 104
 
2.8%
3180000 143
 
3.8%
3170000 82
 
2.2%
3160000 138
 
3.7%
3150000 188
5.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3769
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1406501 × 1017
Minimum3 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.3 KiB
2024-04-30T03:48:54.544360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.01 × 1017
Q13.08 × 1017
median3.15 × 1017
Q33.21 × 1017
95-th percentile3.24 × 1017
Maximum3.24 × 1017
Range2.4 × 1016
Interquartile range (IQR)1.3 × 1016

Descriptive statistics

Standard deviation7.2370954 × 1015
Coefficient of variation (CV)0.023043304
Kurtosis-1.1568149
Mean3.1406501 × 1017
Median Absolute Deviation (MAD)6 × 1015
Skewness-0.29862602
Sum3.1193835 × 1018
Variance5.237555 × 1031
MonotonicityNot monotonic
2024-04-30T03:48:54.664947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
310000001120200003 1
 
< 0.1%
316000001120200007 1
 
< 0.1%
316000001120220002 1
 
< 0.1%
316000001120220004 1
 
< 0.1%
316000001120220005 1
 
< 0.1%
316000001120200003 1
 
< 0.1%
316000001120200002 1
 
< 0.1%
316000001120210017 1
 
< 0.1%
316000001120220001 1
 
< 0.1%
316000001120170006 1
 
< 0.1%
Other values (3759) 3759
99.7%
ValueCountFrequency (%)
300000001120040001 1
< 0.1%
300000001120040002 1
< 0.1%
300000001120040003 1
< 0.1%
300000001120040004 1
< 0.1%
300000001120060001 1
< 0.1%
300000001120070001 1
< 0.1%
300000001120120001 1
< 0.1%
300000001120130001 1
< 0.1%
300000001120130002 1
< 0.1%
300000001120130003 1
< 0.1%
ValueCountFrequency (%)
324000001120240011 1
< 0.1%
324000001120240010 1
< 0.1%
324000001120240009 1
< 0.1%
324000001120240008 1
< 0.1%
324000001120240007 1
< 0.1%
324000001120240006 1
< 0.1%
324000001120240005 1
< 0.1%
324000001120240004 1
< 0.1%
324000001120240003 1
< 0.1%
324000001120240002 1
< 0.1%

인허가일자
Date

Distinct1958
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
Minimum1993-03-24 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T03:48:54.777828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:54.900177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3769
Missing (%)100.0%
Memory size33.3 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
1
2428 
3
1333 
4
 
6
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 2428
64.4%
3 1333
35.4%
4 6
 
0.2%
2 2
 
0.1%

Length

2024-04-30T03:48:54.998794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:55.085596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2428
64.4%
3 1333
35.4%
4 6
 
0.2%
2 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
영업/정상
2428 
폐업
1333 
취소/말소/만료/정지/중지
 
6
휴업
 
2

Length

Max length14
Median length5
Mean length3.9517113
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 2428
64.4%
폐업 1333
35.4%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

Length

2024-04-30T03:48:55.178728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:55.292474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2428
64.4%
폐업 1333
35.4%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
0000
2427 
0002
1333 
0004
 
6
0001
 
2
BBBB
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0002
2nd row0000
3rd row0000
4th row0000
5th row0000

Common Values

ValueCountFrequency (%)
0000 2427
64.4%
0002 1333
35.4%
0004 6
 
0.2%
0001 2
 
0.1%
BBBB 1
 
< 0.1%

Length

2024-04-30T03:48:55.407159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:55.500880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0000 2427
64.4%
0002 1333
35.4%
0004 6
 
0.2%
0001 2
 
0.1%
bbbb 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
정상
2427 
폐업
1333 
말소
 
6
휴업
 
2
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0005306
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 2427
64.4%
폐업 1333
35.4%
말소 6
 
0.2%
휴업 2
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-04-30T03:48:55.604319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:55.701441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 2427
64.4%
폐업 1333
35.4%
말소 6
 
0.2%
휴업 2
 
0.1%
na 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1040
Distinct (%)78.8%
Missing2450
Missing (%)65.0%
Memory size29.6 KiB
Minimum2003-11-13 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T03:48:55.810786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:55.922748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
<NA>
3767 
20180725
 
1
20211111
 
1

Length

Max length8
Median length4
Mean length4.0021226
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3767
99.9%
20180725 1
 
< 0.1%
20211111 1
 
< 0.1%

Length

2024-04-30T03:48:56.060752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:56.161083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3767
99.9%
20180725 1
 
< 0.1%
20211111 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
<NA>
3768 
20200725
 
1

Length

Max length8
Median length4
Mean length4.0010613
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> 3768
> 99.9%
20200725 1
 
< 0.1%

Length

2024-04-30T03:48:56.280186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:56.381527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3768
> 99.9%
20200725 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3769
Missing (%)100.0%
Memory size33.3 KiB

전화번호
Text

MISSING 

Distinct2316
Distinct (%)92.1%
Missing1253
Missing (%)33.2%
Memory size29.6 KiB
2024-04-30T03:48:56.589060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.483307
Min length2

Characters and Unicode

Total characters26376
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2144 ?
Unique (%)85.2%

Sample

1st row02-468-6226
2nd row02-856-5050
3rd row02-581-6997
4th row02-2202-2468
5th row02-873-4760
ValueCountFrequency (%)
3491-6626 6
 
0.2%
821-3157 4
 
0.2%
02 4
 
0.2%
02-877-0927 4
 
0.2%
02-843-2008 3
 
0.1%
02-3395-8777 3
 
0.1%
2693-1044 3
 
0.1%
02-322-8344 3
 
0.1%
02-6267-7575 3
 
0.1%
2653-6788 3
 
0.1%
Other values (2310) 2487
98.6%
2024-04-30T03:48:56.940728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4045
15.3%
2 3922
14.9%
0 3639
13.8%
3 2165
8.2%
5 2004
7.6%
7 1998
7.6%
4 1917
7.3%
8 1781
6.8%
6 1702
6.5%
9 1638
6.2%
Other values (4) 1565
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22320
84.6%
Dash Punctuation 4045
 
15.3%
Space Separator 7
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3922
17.6%
0 3639
16.3%
3 2165
9.7%
5 2004
9.0%
7 1998
9.0%
4 1917
8.6%
8 1781
8.0%
6 1702
7.6%
9 1638
7.3%
1 1554
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 4045
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26376
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4045
15.3%
2 3922
14.9%
0 3639
13.8%
3 2165
8.2%
5 2004
7.6%
7 1998
7.6%
4 1917
7.3%
8 1781
6.8%
6 1702
6.5%
9 1638
6.2%
Other values (4) 1565
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4045
15.3%
2 3922
14.9%
0 3639
13.8%
3 2165
8.2%
5 2004
7.6%
7 1998
7.6%
4 1917
7.3%
8 1781
6.8%
6 1702
6.5%
9 1638
6.2%
Other values (4) 1565
 
5.9%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct146
Distinct (%)12.2%
Missing2574
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean59.784644
Minimum0
Maximum24349
Zeros1025
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size33.3 KiB
2024-04-30T03:48:57.075888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile87.909
Maximum24349
Range24349
Interquartile range (IQR)0

Descriptive statistics

Standard deviation811.68619
Coefficient of variation (CV)13.576834
Kurtosis713.90256
Mean59.784644
Median Absolute Deviation (MAD)0
Skewness25.444173
Sum71442.65
Variance658834.46
MonotonicityNot monotonic
2024-04-30T03:48:57.362890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1025
 
27.2%
66.0 4
 
0.1%
12.0 3
 
0.1%
72.8 3
 
0.1%
71.5 3
 
0.1%
10.0 3
 
0.1%
18.0 3
 
0.1%
117.0 3
 
0.1%
23.0 3
 
0.1%
56.0 2
 
0.1%
Other values (136) 143
 
3.8%
(Missing) 2574
68.3%
ValueCountFrequency (%)
0.0 1025
27.2%
10.0 3
 
0.1%
10.2 1
 
< 0.1%
11.25 1
 
< 0.1%
12.0 3
 
0.1%
12.5 1
 
< 0.1%
12.7 1
 
< 0.1%
17.0 1
 
< 0.1%
17.64 1
 
< 0.1%
18.0 3
 
0.1%
ValueCountFrequency (%)
24349.0 1
< 0.1%
12120.0 1
< 0.1%
4455.15 1
< 0.1%
2687.61 1
< 0.1%
1975.23 2
0.1%
1929.96 1
< 0.1%
1795.0 1
< 0.1%
1440.77 1
< 0.1%
1164.64 1
< 0.1%
980.76 1
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3769
Missing (%)100.0%
Memory size33.3 KiB

지번주소
Text

MISSING 

Distinct3346
Distinct (%)91.8%
Missing124
Missing (%)3.3%
Memory size29.6 KiB
2024-04-30T03:48:57.638731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length25.419753
Min length12

Characters and Unicode

Total characters92655
Distinct characters515
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

Unique3076 ?
Unique (%)84.4%

Sample

1st row서울특별시 노원구 월계동 18 그랑빌아파트
2nd row서울특별시 송파구 풍납동 162-49
3rd row서울특별시 금천구 시흥동 991 아람아이씨티타워
4th row서울특별시 영등포구 신길동 452-9
5th row서울특별시 광진구 중곡동 231-1 신성그랜드타워
ValueCountFrequency (%)
서울특별시 3645
 
20.3%
강남구 379
 
2.1%
1층 319
 
1.8%
송파구 233
 
1.3%
서초구 224
 
1.3%
강동구 186
 
1.0%
강서구 185
 
1.0%
관악구 184
 
1.0%
노원구 164
 
0.9%
마포구 160
 
0.9%
Other values (4893) 12238
68.3%
2024-04-30T03:48:58.077139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16407
 
17.7%
서 4348
 
4.7%
동 4327
 
4.7%
1 4121
 
4.4%
구 3879
 
4.2%
시 3748
 
4.0%
울 3665
 
4.0%
별 3647
 
3.9%
특 3645
 
3.9%
- 2922
 
3.2%
Other values (505) 41946
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55135
59.5%
Decimal Number 17607
 
19.0%
Space Separator 16407
 
17.7%
Dash Punctuation 2922
 
3.2%
Uppercase Letter 373
 
0.4%
Other Punctuation 73
 
0.1%
Lowercase Letter 45
 
< 0.1%
Open Punctuation 38
 
< 0.1%
Close Punctuation 38
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 4348
 
7.9%
동 4327
 
7.8%
구 3879
 
7.0%
시 3748
 
6.8%
울 3665
 
6.6%
별 3647
 
6.6%
특 3645
 
6.6%
지 1799
 
3.3%
번 1604
 
2.9%
강 982
 
1.8%
Other values (442) 23491
42.6%
Uppercase Letter
ValueCountFrequency (%)
B 43
11.5%
C 37
 
9.9%
A 35
 
9.4%
M 25
 
6.7%
T 24
 
6.4%
S 24
 
6.4%
R 21
 
5.6%
E 21
 
5.6%
K 20
 
5.4%
D 20
 
5.4%
Other values (13) 103
27.6%
Lowercase Letter
ValueCountFrequency (%)
e 13
28.9%
a 5
 
11.1%
t 4
 
8.9%
i 4
 
8.9%
r 3
 
6.7%
l 3
 
6.7%
b 3
 
6.7%
s 2
 
4.4%
n 2
 
4.4%
v 1
 
2.2%
Other values (5) 5
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 4121
23.4%
2 2157
12.3%
3 1952
11.1%
0 1603
 
9.1%
4 1598
 
9.1%
6 1483
 
8.4%
5 1405
 
8.0%
7 1208
 
6.9%
8 1069
 
6.1%
9 1011
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 60
82.2%
. 6
 
8.2%
? 2
 
2.7%
@ 2
 
2.7%
& 2
 
2.7%
/ 1
 
1.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅲ 2
28.6%
Space Separator
ValueCountFrequency (%)
16407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2922
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55137
59.5%
Common 37093
40.0%
Latin 425
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 4348
 
7.9%
동 4327
 
7.8%
구 3879
 
7.0%
시 3748
 
6.8%
울 3665
 
6.6%
별 3647
 
6.6%
특 3645
 
6.6%
지 1799
 
3.3%
번 1604
 
2.9%
강 982
 
1.8%
Other values (443) 23493
42.6%
Latin
ValueCountFrequency (%)
B 43
 
10.1%
C 37
 
8.7%
A 35
 
8.2%
M 25
 
5.9%
T 24
 
5.6%
S 24
 
5.6%
R 21
 
4.9%
E 21
 
4.9%
K 20
 
4.7%
D 20
 
4.7%
Other values (31) 155
36.5%
Common
ValueCountFrequency (%)
16407
44.2%
1 4121
 
11.1%
- 2922
 
7.9%
2 2157
 
5.8%
3 1952
 
5.3%
0 1603
 
4.3%
4 1598
 
4.3%
6 1483
 
4.0%
5 1405
 
3.8%
7 1208
 
3.3%
Other values (11) 2237
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55135
59.5%
ASCII 37511
40.5%
Number Forms 7
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16407
43.7%
1 4121
 
11.0%
- 2922
 
7.8%
2 2157
 
5.8%
3 1952
 
5.2%
0 1603
 
4.3%
4 1598
 
4.3%
6 1483
 
4.0%
5 1405
 
3.7%
7 1208
 
3.2%
Other values (49) 2655
 
7.1%
Hangul
ValueCountFrequency (%)
서 4348
 
7.9%
동 4327
 
7.8%
구 3879
 
7.0%
시 3748
 
6.8%
울 3665
 
6.6%
별 3647
 
6.6%
특 3645
 
6.6%
지 1799
 
3.3%
번 1604
 
2.9%
강 982
 
1.8%
Other values (442) 23491
42.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅲ 2
28.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명주소
Text

MISSING 

Distinct3310
Distinct (%)92.7%
Missing200
Missing (%)5.3%
Memory size29.6 KiB
2024-04-30T03:48:58.387495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length32.712805
Min length20

Characters and Unicode

Total characters116752
Distinct characters558
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

Unique3081 ?
Unique (%)86.3%

Sample

1st row서울특별시 노원구 마들로 31, 1층 110호 (월계동, 그랑빌아파트)
2nd row서울특별시 송파구 풍성로 55, 1층 (풍납동)
3rd row서울특별시 금천구 시흥대로 193, 아람아이씨티타워 1층 110호 (시흥동)
4th row서울특별시 영등포구 여의대방로53길 23, 1층 (신길동)
5th row서울특별시 광진구 면목로 127, 1층 (중곡동, 신성그랜드타워)
ValueCountFrequency (%)
서울특별시 3569
 
15.3%
1층 1347
 
5.8%
강남구 368
 
1.6%
송파구 264
 
1.1%
서초구 218
 
0.9%
강서구 183
 
0.8%
관악구 181
 
0.8%
강동구 177
 
0.8%
마포구 160
 
0.7%
은평구 148
 
0.6%
Other values (4214) 16677
71.6%
2024-04-30T03:48:58.839696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19731
 
16.9%
1 5356
 
4.6%
동 4675
 
4.0%
서 4453
 
3.8%
로 3927
 
3.4%
구 3879
 
3.3%
시 3717
 
3.2%
) 3601
 
3.1%
( 3601
 
3.1%
울 3597
 
3.1%
Other values (548) 60215
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67967
58.2%
Space Separator 19731
 
16.9%
Decimal Number 17539
 
15.0%
Close Punctuation 3601
 
3.1%
Open Punctuation 3601
 
3.1%
Other Punctuation 3430
 
2.9%
Uppercase Letter 475
 
0.4%
Dash Punctuation 321
 
0.3%
Lowercase Letter 61
 
0.1%
Math Symbol 17
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4675
 
6.9%
서 4453
 
6.6%
로 3927
 
5.8%
구 3879
 
5.7%
시 3717
 
5.5%
울 3597
 
5.3%
별 3571
 
5.3%
특 3569
 
5.3%
층 1706
 
2.5%
호 1540
 
2.3%
Other values (484) 33333
49.0%
Uppercase Letter
ValueCountFrequency (%)
B 76
16.0%
A 60
12.6%
C 46
 
9.7%
S 29
 
6.1%
M 26
 
5.5%
E 26
 
5.5%
T 25
 
5.3%
D 23
 
4.8%
K 23
 
4.8%
R 22
 
4.6%
Other values (14) 119
25.1%
Lowercase Letter
ValueCountFrequency (%)
e 15
24.6%
b 8
13.1%
a 7
11.5%
t 5
 
8.2%
i 4
 
6.6%
n 3
 
4.9%
r 3
 
4.9%
l 3
 
4.9%
s 3
 
4.9%
v 2
 
3.3%
Other values (6) 8
13.1%
Decimal Number
ValueCountFrequency (%)
1 5356
30.5%
2 2304
13.1%
0 1960
 
11.2%
3 1747
 
10.0%
4 1310
 
7.5%
5 1204
 
6.9%
6 1082
 
6.2%
7 953
 
5.4%
8 830
 
4.7%
9 793
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 3419
99.7%
. 6
 
0.2%
? 2
 
0.1%
& 2
 
0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅲ 2
28.6%
Space Separator
ValueCountFrequency (%)
19731
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3601
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3601
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 321
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67969
58.2%
Common 48240
41.3%
Latin 543
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4675
 
6.9%
서 4453
 
6.6%
로 3927
 
5.8%
구 3879
 
5.7%
시 3717
 
5.5%
울 3597
 
5.3%
별 3571
 
5.3%
특 3569
 
5.3%
층 1706
 
2.5%
호 1540
 
2.3%
Other values (485) 33335
49.0%
Latin
ValueCountFrequency (%)
B 76
14.0%
A 60
 
11.0%
C 46
 
8.5%
S 29
 
5.3%
M 26
 
4.8%
E 26
 
4.8%
T 25
 
4.6%
D 23
 
4.2%
K 23
 
4.2%
R 22
 
4.1%
Other values (33) 187
34.4%
Common
ValueCountFrequency (%)
19731
40.9%
1 5356
 
11.1%
) 3601
 
7.5%
( 3601
 
7.5%
, 3419
 
7.1%
2 2304
 
4.8%
0 1960
 
4.1%
3 1747
 
3.6%
4 1310
 
2.7%
5 1204
 
2.5%
Other values (10) 4007
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67967
58.2%
ASCII 48776
41.8%
Number Forms 7
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19731
40.5%
1 5356
 
11.0%
) 3601
 
7.4%
( 3601
 
7.4%
, 3419
 
7.0%
2 2304
 
4.7%
0 1960
 
4.0%
3 1747
 
3.6%
4 1310
 
2.7%
5 1204
 
2.5%
Other values (50) 4543
 
9.3%
Hangul
ValueCountFrequency (%)
동 4675
 
6.9%
서 4453
 
6.6%
로 3927
 
5.8%
구 3879
 
5.7%
시 3717
 
5.5%
울 3597
 
5.3%
별 3571
 
5.3%
특 3569
 
5.3%
층 1706
 
2.5%
호 1540
 
2.3%
Other values (484) 33333
49.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅲ 2
28.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명우편번호
Text

MISSING 

Distinct1725
Distinct (%)49.7%
Missing299
Missing (%)7.9%
Memory size29.6 KiB
2024-04-30T03:48:59.174252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0025937
Min length5

Characters and Unicode

Total characters17359
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

Unique904 ?
Unique (%)26.1%

Sample

1st row01913
2nd row05522
3rd row08635
4th row07355
5th row04911
ValueCountFrequency (%)
05269 20
 
0.6%
08793 17
 
0.5%
06030 16
 
0.5%
01405 14
 
0.4%
07946 11
 
0.3%
06232 11
 
0.3%
08365 10
 
0.3%
05510 10
 
0.3%
06035 10
 
0.3%
06038 10
 
0.3%
Other values (1715) 3341
96.3%
2024-04-30T03:48:59.604757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4680
27.0%
6 1645
 
9.5%
7 1620
 
9.3%
5 1592
 
9.2%
3 1588
 
9.1%
2 1435
 
8.3%
1 1381
 
8.0%
8 1281
 
7.4%
4 1269
 
7.3%
9 867
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17358
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4680
27.0%
6 1645
 
9.5%
7 1620
 
9.3%
5 1592
 
9.2%
3 1588
 
9.1%
2 1435
 
8.3%
1 1381
 
8.0%
8 1281
 
7.4%
4 1269
 
7.3%
9 867
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17359
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4680
27.0%
6 1645
 
9.5%
7 1620
 
9.3%
5 1592
 
9.2%
3 1588
 
9.1%
2 1435
 
8.3%
1 1381
 
8.0%
8 1281
 
7.4%
4 1269
 
7.3%
9 867
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4680
27.0%
6 1645
 
9.5%
7 1620
 
9.3%
5 1592
 
9.2%
3 1588
 
9.1%
2 1435
 
8.3%
1 1381
 
8.0%
8 1281
 
7.4%
4 1269
 
7.3%
9 867
 
5.0%

사업장명
Text

Distinct2446
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
2024-04-30T03:48:59.812394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length5.4762536
Min length1

Characters and Unicode

Total characters20640
Distinct characters520
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1831 ?
Unique (%)48.6%

Sample

1st row봄날약국
2nd row새봄약국
3rd row안녕, 약국
4th row나눔약국
5th row신성온누리약국
ValueCountFrequency (%)
약국 78
 
2.0%
동물약국 20
 
0.5%
늘푸른약국 14
 
0.4%
다정약국 13
 
0.3%
온누리 13
 
0.3%
태평양약국 13
 
0.3%
햇살약국 12
 
0.3%
다올약국 11
 
0.3%
정다운약국 11
 
0.3%
사랑약국 11
 
0.3%
Other values (2455) 3779
95.1%
2024-04-30T03:49:00.173763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 3797
 
18.4%
국 3780
 
18.3%
리 605
 
2.9%
온 433
 
2.1%
누 410
 
2.0%
동 245
 
1.2%
이 244
 
1.2%
206
 
1.0%
한 178
 
0.9%
정 170
 
0.8%
Other values (510) 10572
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20096
97.4%
Decimal Number 256
 
1.2%
Space Separator 206
 
1.0%
Uppercase Letter 32
 
0.2%
Lowercase Letter 28
 
0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 3797
 
18.9%
국 3780
 
18.8%
리 605
 
3.0%
온 433
 
2.2%
누 410
 
2.0%
동 245
 
1.2%
이 244
 
1.2%
한 178
 
0.9%
정 170
 
0.8%
사 163
 
0.8%
Other values (468) 10071
50.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
a 4
14.3%
h 4
14.3%
c 3
10.7%
t 2
 
7.1%
y 1
 
3.6%
m 1
 
3.6%
r 1
 
3.6%
p 1
 
3.6%
o 1
 
3.6%
Other values (5) 5
17.9%
Uppercase Letter
ValueCountFrequency (%)
A 6
18.8%
C 5
15.6%
M 5
15.6%
W 4
12.5%
H 3
9.4%
E 3
9.4%
D 2
 
6.2%
S 1
 
3.1%
T 1
 
3.1%
P 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
3 63
24.6%
5 59
23.0%
6 54
21.1%
1 32
12.5%
0 17
 
6.6%
2 16
 
6.2%
4 9
 
3.5%
8 3
 
1.2%
9 2
 
0.8%
7 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
? 1
33.3%
Space Separator
ValueCountFrequency (%)
206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20096
97.4%
Common 484
 
2.3%
Latin 60
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 3797
 
18.9%
국 3780
 
18.8%
리 605
 
3.0%
온 433
 
2.2%
누 410
 
2.0%
동 245
 
1.2%
이 244
 
1.2%
한 178
 
0.9%
정 170
 
0.8%
사 163
 
0.8%
Other values (468) 10071
50.1%
Latin
ValueCountFrequency (%)
A 6
 
10.0%
C 5
 
8.3%
e 5
 
8.3%
M 5
 
8.3%
a 4
 
6.7%
h 4
 
6.7%
W 4
 
6.7%
H 3
 
5.0%
c 3
 
5.0%
E 3
 
5.0%
Other values (16) 18
30.0%
Common
ValueCountFrequency (%)
206
42.6%
3 63
 
13.0%
5 59
 
12.2%
6 54
 
11.2%
1 32
 
6.6%
0 17
 
3.5%
2 16
 
3.3%
4 9
 
1.9%
) 8
 
1.7%
( 8
 
1.7%
Other values (6) 12
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20096
97.4%
ASCII 544
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 3797
 
18.9%
국 3780
 
18.8%
리 605
 
3.0%
온 433
 
2.2%
누 410
 
2.0%
동 245
 
1.2%
이 244
 
1.2%
한 178
 
0.9%
정 170
 
0.8%
사 163
 
0.8%
Other values (468) 10071
50.1%
ASCII
ValueCountFrequency (%)
206
37.9%
3 63
 
11.6%
5 59
 
10.8%
6 54
 
9.9%
1 32
 
5.9%
0 17
 
3.1%
2 16
 
2.9%
4 9
 
1.7%
) 8
 
1.5%
( 8
 
1.5%
Other values (32) 72
 
13.2%

최종수정일자
Date

UNIQUE 

Distinct3769
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
Minimum2004-03-05 10:20:13
Maximum2024-04-25 16:11:52
2024-04-30T03:49:00.286782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:00.414827image/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 size29.6 KiB
I
2708 
U
1061 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2708
71.8%
U 1061
 
28.2%

Length

2024-04-30T03:49:00.530153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:00.621636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2708
71.8%
u 1061
 
28.2%

데이터갱신일자
Date

Distinct1233
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:49:00.713372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:00.826283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3769
Missing (%)100.0%
Memory size33.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2764
Distinct (%)77.3%
Missing195
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean199858.95
Minimum183030.87
Maximum215487.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.3 KiB
2024-04-30T03:49:00.929573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183030.87
5-th percentile186423.65
Q1193326.93
median201609.99
Q3205499.76
95-th percentile211581.41
Maximum215487.94
Range32457.076
Interquartile range (IQR)12172.828

Descriptive statistics

Standard deviation7592.4804
Coefficient of variation (CV)0.037989194
Kurtosis-0.8918431
Mean199858.95
Median Absolute Deviation (MAD)5784.4201
Skewness-0.22291075
Sum7.1429589 × 108
Variance57645759
MonotonicityNot monotonic
2024-04-30T03:49:01.036572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202852.532828866 6
 
0.2%
203141.862035013 6
 
0.2%
204586.370038998 6
 
0.2%
202372.912023599 6
 
0.2%
209394.231297346 6
 
0.2%
195274.343265834 5
 
0.1%
211798.748740544 5
 
0.1%
205601.926027171 5
 
0.1%
202376.64 5
 
0.1%
208558.286631653 5
 
0.1%
Other values (2754) 3519
93.4%
(Missing) 195
 
5.2%
ValueCountFrequency (%)
183030.868557234 1
< 0.1%
183166.170737798 1
< 0.1%
183215.243871182 1
< 0.1%
183242.500497164 1
< 0.1%
183250.670089409 1
< 0.1%
183306.538535393 1
< 0.1%
183306.751602566 1
< 0.1%
183313.177180839 1
< 0.1%
183366.101249557 1
< 0.1%
183394.543338863 1
< 0.1%
ValueCountFrequency (%)
215487.94428281 1
< 0.1%
215466.920457331 1
< 0.1%
215422.746119624 2
0.1%
215361.163713829 1
< 0.1%
215303.913311463 1
< 0.1%
215293.818142937 1
< 0.1%
215277.575586465 2
0.1%
215257.766510608 2
0.1%
215109.220020478 1
< 0.1%
215078.30741377 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2764
Distinct (%)77.3%
Missing195
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean449318.76
Minimum437752.1
Maximum464973.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.3 KiB
2024-04-30T03:49:01.167712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437752.1
5-th percentile441637.58
Q1444343.18
median448656.41
Q3452991.31
95-th percentile460646.34
Maximum464973.88
Range27221.785
Interquartile range (IQR)8648.131

Descriptive statistics

Standard deviation5803.9415
Coefficient of variation (CV)0.012917203
Kurtosis-0.57693941
Mean449318.76
Median Absolute Deviation (MAD)4316.5262
Skewness0.50588869
Sum1.6058652 × 109
Variance33685737
MonotonicityNot monotonic
2024-04-30T03:49:01.332368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445963.384875409 8
 
0.2%
443568.367988818 6
 
0.2%
443682.974096 6
 
0.2%
443951.236927017 6
 
0.2%
462494.042901219 6
 
0.2%
451536.680876573 6
 
0.2%
442663.498606503 5
 
0.1%
443189.380697988 5
 
0.1%
449450.069694741 5
 
0.1%
445545.656024061 5
 
0.1%
Other values (2754) 3516
93.3%
(Missing) 195
 
5.2%
ValueCountFrequency (%)
437752.098773321 1
< 0.1%
437915.621690013 1
< 0.1%
438460.667319682 1
< 0.1%
438663.829528346 1
< 0.1%
438699.77460936 1
< 0.1%
438731.508615452 1
< 0.1%
438732.994399228 1
< 0.1%
438751.404574684 1
< 0.1%
438751.842732006 1
< 0.1%
438755.559027712 1
< 0.1%
ValueCountFrequency (%)
464973.884141836 1
 
< 0.1%
464959.058464501 1
 
< 0.1%
464814.717432497 3
0.1%
464424.936726873 1
 
< 0.1%
464174.158420444 1
 
< 0.1%
463546.753529513 1
 
< 0.1%
463346.756715076 1
 
< 0.1%
463179.786985244 1
 
< 0.1%
463098.019976265 2
0.1%
463096.184583677 1
 
< 0.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
동물약국
2370 
<NA>
1399 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 2370
62.9%
<NA> 1399
37.1%

Length

2024-04-30T03:49:01.447656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:01.526356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 2370
62.9%
na 1399
37.1%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3769
Missing (%)100.0%
Memory size33.3 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3769
Missing (%)100.0%
Memory size33.3 KiB

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
000
2369 
<NA>
1399 
F00
 
1

Length

Max length4
Median length3
Mean length3.371186
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
000 2369
62.9%
<NA> 1399
37.1%
F00 1
 
< 0.1%

Length

2024-04-30T03:49:01.619008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:01.717237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 2369
62.9%
na 1399
37.1%
f00 1
 
< 0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
<NA>
3395 
0
374 

Length

Max length4
Median length4
Mean length3.7023083
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3395
90.1%
0 374
 
9.9%

Length

2024-04-30T03:49:01.813105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:01.906730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3395
90.1%
0 374
 
9.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
031000003100000011202000032020-04-08<NA>3폐업0002폐업2023-02-28<NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 18 그랑빌아파트서울특별시 노원구 마들로 31, 1층 110호 (월계동, 그랑빌아파트)01913봄날약국2023-02-28 11:07:01U2022-12-03 00:03:00.0<NA>205984.152113457275.799283<NA><NA><NA><NA><NA>
132300003230000011202300062023-03-02<NA>1영업/정상0000정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 162-49서울특별시 송파구 풍성로 55, 1층 (풍납동)05522새봄약국2023-03-02 18:30:30I2022-12-03 00:04:00.0<NA>210420.396115447977.81039<NA><NA><NA><NA><NA>
231700003170000011202300032023-03-02<NA>1영업/정상0000정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 991 아람아이씨티타워서울특별시 금천구 시흥대로 193, 아람아이씨티타워 1층 110호 (시흥동)08635안녕, 약국2023-03-02 17:00:59I2022-12-03 00:04:00.0<NA>191203.85206438765.406099<NA><NA><NA><NA><NA>
331800003180000011202300162023-11-09<NA>1영업/정상0000정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 452-9서울특별시 영등포구 여의대방로53길 23, 1층 (신길동)07355나눔약국2023-11-09 09:47:03I2022-10-31 23:01:00.0<NA>193033.166936445508.990509<NA><NA><NA><NA><NA>
430400003040000011202300032023-02-28<NA>1영업/정상0000정상<NA><NA><NA><NA>02-468-6226<NA><NA>서울특별시 광진구 중곡동 231-1 신성그랜드타워서울특별시 광진구 면목로 127, 1층 (중곡동, 신성그랜드타워)04911신성온누리약국2023-02-28 10:31:56I2022-12-03 00:04:00.0<NA>207019.192311451435.772827<NA><NA><NA><NA><NA>
531600003160000011202300032023-02-20<NA>1영업/정상0000정상<NA><NA><NA><NA>02-856-5050<NA><NA>서울특별시 구로구 구로동 505-10 1층서울특별시 구로구 구로동로42길 58, 1층 (구로동)08280505 약국2023-02-20 17:00:53I2022-12-01 22:02:00.0<NA>189695.456108444006.29084<NA><NA><NA><NA><NA>
632100003210000011202100112021-02-08<NA>3폐업0002폐업2023-03-02<NA><NA><NA>02-581-69970.0<NA>서울특별시 서초구 서초동 1336-1 리더스원 상가서울특별시 서초구 사임당로 158, 리더스원 상가 3층 308호 (서초동)06629서초사랑약국2023-03-02 13:33:50U2022-12-03 00:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
732300003230000011201500052015-07-27<NA>3폐업0002폐업2023-03-02<NA><NA><NA>02-2202-24680.0<NA><NA>서울특별시 송파구 올림픽로12길 34, 1층 3호 (잠실동, 평산빌딩)05563신화약국2023-03-02 11:10:17U2022-12-03 00:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
831000003100000011202300042023-03-06<NA>1영업/정상0000정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 395-8 노원새마을금고서울특별시 노원구 동일로 1066, 노원새마을금고 1층 (공릉동)01842팜플라자약국2023-03-06 09:06:01I2022-12-03 00:08:00.0<NA>206414.706924458105.675471<NA><NA><NA><NA><NA>
931600003160000011202100082021-06-08<NA>3폐업0002폐업2023-03-06<NA><NA><NA><NA>0.0<NA>서울특별시 구로구 고척동 46-39 1층서울특별시 구로구 경인로47길 126, 1층 (고척동)08219콩이오빠동물약국2023-03-06 13:37:18U2022-12-03 00:08:00.0<NA>187866.563173444676.503236<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
3759316000031600000112023000120230102<NA>1영업/정상0000정상<NA><NA><NA><NA>02-2649-8367<NA><NA>서울특별시 구로구 고척동 100-7 고척아이파크 MD동 204호서울특별시 구로구 경인로43길 49, MD동 204호 (고척동, 고척아이파크)08226은혜온누리약국2023-01-02 09:22:41I2022-12-01 00:04:00.0<NA>187477.579441444045.294922<NA><NA><NA><NA><NA>
3760308000030800000112021000320210603<NA>3폐업0002폐업20230102<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 316-12 수목빌딩서울특별시 강북구 삼양로 462, 수목빌딩 (수유동)01039꿈이있는온누리약국2023-01-02 14:40:28U2022-12-01 00:04:00.0<NA>201347.709317460238.598896<NA><NA><NA><NA><NA>
3761312000031200000112019000820191021<NA>3폐업0002폐업20230102<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52-1서울특별시 서대문구 연세로 39 (창천동)03788세란약국2023-01-02 13:31:07U2022-12-01 00:04:00.0<NA>194342.89194450762.544048<NA><NA><NA><NA><NA>
3762308000030800000112017000220170216<NA>3폐업0002폐업20230102<NA><NA><NA>02-988-2552<NA><NA>서울특별시 강북구 번동 449-1 1층 101호서울특별시 강북구 도봉로 308, 1층 101호 (번동)01062새암온누리약국2023-01-02 14:41:27U2022-12-01 00:04:00.0<NA>202032.757632459259.443979<NA><NA><NA><NA><NA>
3763323000032300000112013001520130704<NA>3폐업0002폐업20221231<NA><NA><NA>407-67960.0<NA><NA>서울특별시 송파구 동남로 138, 1층 (문정동, 문정크리닉빌딩)05796진약국2023-01-02 15:06:21U2022-12-01 00:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
3764321000032100000112023000120230104<NA>1영업/정상0000정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1339-7 서초동 청화오피스텔 102호서울특별시 서초구 효령로 431, 서초동 청화오피스텔 102호 (서초동)06628강남백년가약국2023-01-04 16:13:31I2022-12-01 00:06:00.0<NA>202643.003837443047.635422<NA><NA><NA><NA><NA>
3765314000031400000112021000320210512<NA>3폐업0002폐업20230104<NA><NA><NA>02-2643-0510<NA><NA>서울특별시 양천구 목동 406-30 오목교역 지하2층 521동 201호서울특별시 양천구 오목로 지하 342, 오목교역 지하2층 521-201호 (목동)08006버드나무약국2023-01-04 13:55:53U2022-12-01 00:07:00.0<NA>188793.151633446945.537493<NA><NA><NA><NA><NA>
3766322000032200000112018001620180905<NA>3폐업0002폐업20230104<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 507 윈플러스상가 1층 102호서울특별시 강남구 남부순환로 2936, 윈플러스상가 1층 102호 (대치동)06291우리대치약국2023-01-04 16:32:36U2022-12-01 00:07:00.0<NA>205405.125443463.355<NA><NA><NA><NA><NA>
3767311000031100000112023000120230106<NA>1영업/정상0000정상<NA><NA><NA><NA>02-386-5917<NA><NA>서울특별시 은평구 신사동 8-18서울특별시 은평구 갈현로 14(신사동)03423한솔약국2023-01-06 17:02:00I2022-12-01 00:08:00.0<NA>192031.10688455198.692748<NA><NA><NA><NA><NA>
376832300003230000011202200232022-10-13<NA>3폐업0002폐업2023-06-12<NA><NA><NA>02-401-6138<NA><NA>서울특별시 송파구 마천동 200-17서울특별시 송파구 성내천로34길 24-1(마천동)05750보영약국2023-06-22 14:45:21U2022-12-05 22:04:00.0<NA>213530.628768443911.783149<NA><NA><NA><NA><NA>