Overview

Dataset statistics

Number of variables27
Number of observations3627
Missing cells34356
Missing cells (%)35.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory800.6 KiB
Average record size in memory226.0 B

Variable types

Categorical6
Numeric5
DateTime7
Unsupported3
Text6

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),지정일자,민원종류명
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-19906/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (53.0%)Imbalance
인허가취소일자 has 3361 (92.7%) missing valuesMissing
폐업일자 has 1037 (28.6%) missing valuesMissing
휴업시작일자 has 3544 (97.7%) missing valuesMissing
휴업종료일자 has 3543 (97.7%) missing valuesMissing
재개업일자 has 3627 (100.0%) missing valuesMissing
전화번호 has 1651 (45.5%) missing valuesMissing
소재지면적 has 3627 (100.0%) missing valuesMissing
소재지우편번호 has 2366 (65.2%) missing valuesMissing
지번주소 has 414 (11.4%) missing valuesMissing
도로명주소 has 1499 (41.3%) missing valuesMissing
도로명우편번호 has 1843 (50.8%) missing valuesMissing
업태구분명 has 3627 (100.0%) missing valuesMissing
좌표정보(X) has 1489 (41.1%) missing valuesMissing
좌표정보(Y) has 1489 (41.1%) missing valuesMissing
지정일자 has 1239 (34.2%) 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
상세영업상태코드 has 710 (19.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:42:38.834174
Analysis finished2024-05-11 05:42:40.336648
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
3040000
3627 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 3627
100.0%

Length

2024-05-11T14:42:40.433660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:40.577821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 3627
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3627
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0081047 × 1018
Minimum1.995304 × 1018
Maximum2.024304 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-05-11T14:42:40.728925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.995304 × 1018
5-th percentile2.000304 × 1018
Q12.001304 × 1018
median2.007304 × 1018
Q32.013304 × 1018
95-th percentile2.020304 × 1018
Maximum2.024304 × 1018
Range2.9000012 × 1016
Interquartile range (IQR)1.2000009 × 1016

Descriptive statistics

Standard deviation6.9760267 × 1015
Coefficient of variation (CV)0.0034739358
Kurtosis-0.96814589
Mean2.0081047 × 1018
Median Absolute Deviation (MAD)6.0000065 × 1015
Skewness0.47551155
Sum-3.0682601 × 1018
Variance4.8664949 × 1031
MonotonicityStrictly increasing
2024-05-11T14:42:40.921540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1995304007305601022 1
 
< 0.1%
2011304015505600002 1
 
< 0.1%
2011304010305600051 1
 
< 0.1%
2011304010305600052 1
 
< 0.1%
2011304010305600053 1
 
< 0.1%
2011304010305600054 1
 
< 0.1%
2011304010305600055 1
 
< 0.1%
2011304010305600056 1
 
< 0.1%
2011304010305600057 1
 
< 0.1%
2011304010305600058 1
 
< 0.1%
Other values (3617) 3617
99.7%
ValueCountFrequency (%)
1995304007305601022 1
< 0.1%
1998304007305600035 1
< 0.1%
1998304007305600039 1
< 0.1%
1998304007305600127 1
< 0.1%
1998304007305600163 1
< 0.1%
1998304007305600252 1
< 0.1%
1998304007305600519 1
< 0.1%
1998304007305600650 1
< 0.1%
1998304007305600677 1
< 0.1%
1998304007305600683 1
< 0.1%
ValueCountFrequency (%)
2024304019005600018 1
< 0.1%
2024304019005600017 1
< 0.1%
2024304019005600016 1
< 0.1%
2024304019005600015 1
< 0.1%
2024304019005600014 1
< 0.1%
2024304019005600013 1
< 0.1%
2024304019005600012 1
< 0.1%
2024304019005600011 1
< 0.1%
2024304019005600010 1
< 0.1%
2024304019005600009 1
< 0.1%

인허가일자
Date

Distinct2249
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
Minimum1966-10-25 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T14:42:41.126300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:41.281792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct90
Distinct (%)33.8%
Missing3361
Missing (%)92.7%
Memory size28.5 KiB
Minimum1999-03-24 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T14:42:41.452867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:41.698448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
3
2603 
1
710 
4
309 
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2603
71.8%
1 710
 
19.6%
4 309
 
8.5%
2 5
 
0.1%

Length

2024-05-11T14:42:41.879259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:42.015861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2603
71.8%
1 710
 
19.6%
4 309
 
8.5%
2 5
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
폐업
2603 
영업/정상
710 
취소/말소/만료/정지/중지
309 
휴업
 
5

Length

Max length14
Median length2
Mean length3.6095947
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2603
71.8%
영업/정상 710
 
19.6%
취소/말소/만료/정지/중지 309
 
8.5%
휴업 5
 
0.1%

Length

2024-05-11T14:42:42.169914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:42.351593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2603
71.8%
영업/정상 710
 
19.6%
취소/말소/만료/정지/중지 309
 
8.5%
휴업 5
 
0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7692308
Minimum0
Maximum5
Zeros710
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-05-11T14:42:42.478065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0594369
Coefficient of variation (CV)0.59881216
Kurtosis1.8954885
Mean1.7692308
Median Absolute Deviation (MAD)0
Skewness0.24856542
Sum6417
Variance1.1224066
MonotonicityNot monotonic
2024-05-11T14:42:42.600150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 2603
71.8%
0 710
 
19.6%
3 166
 
4.6%
5 136
 
3.7%
4 7
 
0.2%
1 5
 
0.1%
ValueCountFrequency (%)
0 710
 
19.6%
1 5
 
0.1%
2 2603
71.8%
3 166
 
4.6%
4 7
 
0.2%
5 136
 
3.7%
ValueCountFrequency (%)
5 136
 
3.7%
4 7
 
0.2%
3 166
 
4.6%
2 2603
71.8%
1 5
 
0.1%
0 710
 
19.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
폐업처리
2603 
정상영업
710 
직권취소
 
166
지정취소
 
136
임시소매기간만료
 
7

Length

Max length8
Median length4
Mean length4.0077199
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직권취소
2nd row폐업처리
3rd row폐업처리
4th row폐업처리
5th row폐업처리

Common Values

ValueCountFrequency (%)
폐업처리 2603
71.8%
정상영업 710
 
19.6%
직권취소 166
 
4.6%
지정취소 136
 
3.7%
임시소매기간만료 7
 
0.2%
휴업처리 5
 
0.1%

Length

2024-05-11T14:42:42.788784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:42.973157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2603
71.8%
정상영업 710
 
19.6%
직권취소 166
 
4.6%
지정취소 136
 
3.7%
임시소매기간만료 7
 
0.2%
휴업처리 5
 
0.1%

폐업일자
Date

MISSING 

Distinct1924
Distinct (%)74.3%
Missing1037
Missing (%)28.6%
Memory size28.5 KiB
Minimum1999-02-18 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T14:42:43.136954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:43.336808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct57
Distinct (%)68.7%
Missing3544
Missing (%)97.7%
Memory size28.5 KiB
Minimum2008-01-25 00:00:00
Maximum2023-02-27 00:00:00
2024-05-11T14:42:43.875343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:44.124135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct56
Distinct (%)66.7%
Missing3543
Missing (%)97.7%
Memory size28.5 KiB
Minimum2003-06-13 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T14:42:44.311717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:44.477746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3627
Missing (%)100.0%
Memory size32.0 KiB

전화번호
Text

MISSING 

Distinct1582
Distinct (%)80.1%
Missing1651
Missing (%)45.5%
Memory size28.5 KiB
2024-05-11T14:42:44.855379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.509109
Min length1

Characters and Unicode

Total characters20766
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1417 ?
Unique (%)71.7%

Sample

1st row02 4533177
2nd row02 4691111
3rd row02 4991873
4th row02 4654883
5th row0200000000
ValueCountFrequency (%)
02 695
 
25.3%
02-000-0000 173
 
6.3%
0200000000 14
 
0.5%
000000000000 8
 
0.3%
031 7
 
0.3%
02-450-4424 6
 
0.2%
0000000 6
 
0.2%
02-3408-3551 5
 
0.2%
0000000000 5
 
0.2%
4476857 4
 
0.1%
Other values (1618) 1821
66.4%
2024-05-11T14:42:45.425305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4326
20.8%
4 2929
14.1%
2 2874
13.8%
- 2052
9.9%
5 1438
 
6.9%
6 1357
 
6.5%
3 1140
 
5.5%
7 1103
 
5.3%
1 974
 
4.7%
9 900
 
4.3%
Other values (3) 1673
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17892
86.2%
Dash Punctuation 2052
 
9.9%
Space Separator 820
 
3.9%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4326
24.2%
4 2929
16.4%
2 2874
16.1%
5 1438
 
8.0%
6 1357
 
7.6%
3 1140
 
6.4%
7 1103
 
6.2%
1 974
 
5.4%
9 900
 
5.0%
8 851
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 2052
100.0%
Space Separator
ValueCountFrequency (%)
820
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20766
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4326
20.8%
4 2929
14.1%
2 2874
13.8%
- 2052
9.9%
5 1438
 
6.9%
6 1357
 
6.5%
3 1140
 
5.5%
7 1103
 
5.3%
1 974
 
4.7%
9 900
 
4.3%
Other values (3) 1673
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20766
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4326
20.8%
4 2929
14.1%
2 2874
13.8%
- 2052
9.9%
5 1438
 
6.9%
6 1357
 
6.5%
3 1140
 
5.5%
7 1103
 
5.3%
1 974
 
4.7%
9 900
 
4.3%
Other values (3) 1673
 
8.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3627
Missing (%)100.0%
Memory size32.0 KiB

소재지우편번호
Text

MISSING 

Distinct180
Distinct (%)14.3%
Missing2366
Missing (%)65.2%
Memory size28.5 KiB
2024-05-11T14:42:45.860237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0325139
Min length6

Characters and Unicode

Total characters7607
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

Unique58 ?
Unique (%)4.6%

Sample

1st row143836
2nd row143715
3rd row143826
4th row143904
5th row143150
ValueCountFrequency (%)
143301 32
 
2.5%
143130 30
 
2.4%
143202 29
 
2.3%
143222 27
 
2.1%
143200 25
 
2.0%
143201 24
 
1.9%
143150 23
 
1.8%
143914 23
 
1.8%
143867 23
 
1.8%
143888 22
 
1.7%
Other values (170) 1003
79.5%
2024-05-11T14:42:46.478795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1771
23.3%
3 1527
20.1%
4 1464
19.2%
8 737
9.7%
2 590
 
7.8%
0 489
 
6.4%
9 382
 
5.0%
7 237
 
3.1%
5 192
 
2.5%
6 177
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7566
99.5%
Dash Punctuation 41
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1771
23.4%
3 1527
20.2%
4 1464
19.3%
8 737
9.7%
2 590
 
7.8%
0 489
 
6.5%
9 382
 
5.0%
7 237
 
3.1%
5 192
 
2.5%
6 177
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7607
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1771
23.3%
3 1527
20.1%
4 1464
19.2%
8 737
9.7%
2 590
 
7.8%
0 489
 
6.4%
9 382
 
5.0%
7 237
 
3.1%
5 192
 
2.5%
6 177
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1771
23.3%
3 1527
20.1%
4 1464
19.2%
8 737
9.7%
2 590
 
7.8%
0 489
 
6.4%
9 382
 
5.0%
7 237
 
3.1%
5 192
 
2.5%
6 177
 
2.3%

지번주소
Text

MISSING 

Distinct2740
Distinct (%)85.3%
Missing414
Missing (%)11.4%
Memory size28.5 KiB
2024-05-11T14:42:46.865474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length25.849362
Min length13

Characters and Unicode

Total characters83054
Distinct characters332
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2385 ?
Unique (%)74.2%

Sample

1st row서울특별시 광진구 구의동 593번지 10호
2nd row서울특별시 광진구 중곡동 33번지 43호
3rd row서울특별시 광진구 화양동 8번지 57호
4th row서울특별시 광진구 군자동 353호
5th row서울특별시 광진구 광장동 484호 현대아파트상가211
ValueCountFrequency (%)
서울특별시 3213
 
18.4%
광진구 3211
 
18.4%
중곡동 522
 
3.0%
자양동 497
 
2.8%
구의동 477
 
2.7%
1호 324
 
1.9%
화양동 310
 
1.8%
호 302
 
1.7%
군자동 215
 
1.2%
광장동 164
 
0.9%
Other values (1735) 8218
47.1%
2024-05-11T14:42:47.448946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17358
20.9%
구 3995
 
4.8%
광 3432
 
4.1%
동 3370
 
4.1%
진 3253
 
3.9%
서 3251
 
3.9%
울 3243
 
3.9%
시 3240
 
3.9%
별 3214
 
3.9%
특 3213
 
3.9%
Other values (322) 35485
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48805
58.8%
Space Separator 17358
 
20.9%
Decimal Number 15896
 
19.1%
Close Punctuation 303
 
0.4%
Open Punctuation 302
 
0.4%
Dash Punctuation 252
 
0.3%
Uppercase Letter 89
 
0.1%
Other Punctuation 25
 
< 0.1%
Math Symbol 20
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3995
 
8.2%
광 3432
 
7.0%
동 3370
 
6.9%
진 3253
 
6.7%
서 3251
 
6.7%
울 3243
 
6.6%
시 3240
 
6.6%
별 3214
 
6.6%
특 3213
 
6.6%
호 3037
 
6.2%
Other values (292) 15557
31.9%
Uppercase Letter
ValueCountFrequency (%)
B 21
23.6%
A 21
23.6%
C 19
21.3%
K 9
10.1%
D 6
 
6.7%
S 5
 
5.6%
E 2
 
2.2%
T 2
 
2.2%
Z 1
 
1.1%
L 1
 
1.1%
Other values (2) 2
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 3147
19.8%
2 2589
16.3%
3 1780
11.2%
4 1640
10.3%
6 1512
9.5%
5 1409
8.9%
7 1044
 
6.6%
0 1034
 
6.5%
8 879
 
5.5%
9 862
 
5.4%
Space Separator
ValueCountFrequency (%)
17358
100.0%
Close Punctuation
ValueCountFrequency (%)
) 303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 252
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48805
58.8%
Common 34156
41.1%
Latin 93
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3995
 
8.2%
광 3432
 
7.0%
동 3370
 
6.9%
진 3253
 
6.7%
서 3251
 
6.7%
울 3243
 
6.6%
시 3240
 
6.6%
별 3214
 
6.6%
특 3213
 
6.6%
호 3037
 
6.2%
Other values (292) 15557
31.9%
Common
ValueCountFrequency (%)
17358
50.8%
1 3147
 
9.2%
2 2589
 
7.6%
3 1780
 
5.2%
4 1640
 
4.8%
6 1512
 
4.4%
5 1409
 
4.1%
7 1044
 
3.1%
0 1034
 
3.0%
8 879
 
2.6%
Other values (6) 1764
 
5.2%
Latin
ValueCountFrequency (%)
B 21
22.6%
A 21
22.6%
C 19
20.4%
K 9
9.7%
D 6
 
6.5%
S 5
 
5.4%
E 2
 
2.2%
Ⅰ 2
 
2.2%
T 2
 
2.2%
e 2
 
2.2%
Other values (4) 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48805
58.8%
ASCII 34247
41.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17358
50.7%
1 3147
 
9.2%
2 2589
 
7.6%
3 1780
 
5.2%
4 1640
 
4.8%
6 1512
 
4.4%
5 1409
 
4.1%
7 1044
 
3.0%
0 1034
 
3.0%
8 879
 
2.6%
Other values (19) 1855
 
5.4%
Hangul
ValueCountFrequency (%)
구 3995
 
8.2%
광 3432
 
7.0%
동 3370
 
6.9%
진 3253
 
6.7%
서 3251
 
6.7%
울 3243
 
6.6%
시 3240
 
6.6%
별 3214
 
6.6%
특 3213
 
6.6%
호 3037
 
6.2%
Other values (292) 15557
31.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

도로명주소
Text

MISSING 

Distinct1720
Distinct (%)80.8%
Missing1499
Missing (%)41.3%
Memory size28.5 KiB
2024-05-11T14:42:47.850017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length56
Mean length29.775376
Min length15

Characters and Unicode

Total characters63362
Distinct characters321
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1421 ?
Unique (%)66.8%

Sample

1st row서울특별시 광진구 긴고랑로 133 (중곡동)
2nd row서울특별시 광진구 자양로23길 33 (구의동)
3rd row서울특별시 광진구 강변역로 50, 132호 (구의동, 동서울터미널)
4th row서울특별시 광진구 자양로22길 15 (구의동)
5th row서울특별시 광진구 아차산로30길 39 (자양동)
ValueCountFrequency (%)
서울특별시 2128
 
17.0%
광진구 2126
 
16.9%
자양동 540
 
4.3%
1층 508
 
4.1%
구의동 452
 
3.6%
중곡동 437
 
3.5%
화양동 189
 
1.5%
능동로 167
 
1.3%
군자동 149
 
1.2%
아차산로 144
 
1.1%
Other values (1402) 5703
45.5%
2024-05-11T14:42:48.450619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10433
 
16.5%
동 2793
 
4.4%
구 2731
 
4.3%
1 2523
 
4.0%
광 2497
 
3.9%
) 2307
 
3.6%
( 2307
 
3.6%
로 2182
 
3.4%
진 2176
 
3.4%
서 2161
 
3.4%
Other values (311) 31252
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36994
58.4%
Space Separator 10433
 
16.5%
Decimal Number 9603
 
15.2%
Close Punctuation 2307
 
3.6%
Open Punctuation 2307
 
3.6%
Other Punctuation 1399
 
2.2%
Dash Punctuation 192
 
0.3%
Uppercase Letter 99
 
0.2%
Math Symbol 21
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2793
 
7.5%
구 2731
 
7.4%
광 2497
 
6.7%
로 2182
 
5.9%
진 2176
 
5.9%
서 2161
 
5.8%
울 2155
 
5.8%
시 2154
 
5.8%
별 2128
 
5.8%
특 2128
 
5.8%
Other values (277) 13889
37.5%
Uppercase Letter
ValueCountFrequency (%)
B 30
30.3%
A 26
26.3%
C 20
20.2%
K 7
 
7.1%
D 4
 
4.0%
S 3
 
3.0%
X 2
 
2.0%
T 2
 
2.0%
W 1
 
1.0%
I 1
 
1.0%
Other values (3) 3
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 2523
26.3%
2 1187
12.4%
3 988
 
10.3%
5 894
 
9.3%
4 871
 
9.1%
0 837
 
8.7%
6 782
 
8.1%
7 550
 
5.7%
8 514
 
5.4%
9 457
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
c 2
40.0%
a 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1398
99.9%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
10433
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2307
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36994
58.4%
Common 26262
41.4%
Latin 106
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2793
 
7.5%
구 2731
 
7.4%
광 2497
 
6.7%
로 2182
 
5.9%
진 2176
 
5.9%
서 2161
 
5.8%
울 2155
 
5.8%
시 2154
 
5.8%
별 2128
 
5.8%
특 2128
 
5.8%
Other values (277) 13889
37.5%
Common
ValueCountFrequency (%)
10433
39.7%
1 2523
 
9.6%
) 2307
 
8.8%
( 2307
 
8.8%
, 1398
 
5.3%
2 1187
 
4.5%
3 988
 
3.8%
5 894
 
3.4%
4 871
 
3.3%
0 837
 
3.2%
Other values (7) 2517
 
9.6%
Latin
ValueCountFrequency (%)
B 30
28.3%
A 26
24.5%
C 20
18.9%
K 7
 
6.6%
D 4
 
3.8%
S 3
 
2.8%
e 2
 
1.9%
X 2
 
1.9%
T 2
 
1.9%
Ⅰ 2
 
1.9%
Other values (7) 8
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36994
58.4%
ASCII 26366
41.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10433
39.6%
1 2523
 
9.6%
) 2307
 
8.7%
( 2307
 
8.7%
, 1398
 
5.3%
2 1187
 
4.5%
3 988
 
3.7%
5 894
 
3.4%
4 871
 
3.3%
0 837
 
3.2%
Other values (23) 2621
 
9.9%
Hangul
ValueCountFrequency (%)
동 2793
 
7.5%
구 2731
 
7.4%
광 2497
 
6.7%
로 2182
 
5.9%
진 2176
 
5.9%
서 2161
 
5.8%
울 2155
 
5.8%
시 2154
 
5.8%
별 2128
 
5.8%
특 2128
 
5.8%
Other values (277) 13889
37.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

도로명우편번호
Text

MISSING 

Distinct364
Distinct (%)20.4%
Missing1843
Missing (%)50.8%
Memory size28.5 KiB
2024-05-11T14:42:48.941570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6115471
Min length5

Characters and Unicode

Total characters10011
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

Unique86 ?
Unique (%)4.8%

Sample

1st row04944
2nd row143836
3rd row143715
4th row143826
5th row143904
ValueCountFrequency (%)
05116 29
 
1.6%
143914 28
 
1.6%
143867 26
 
1.5%
143819 25
 
1.4%
143837 24
 
1.3%
143900 23
 
1.3%
143888 23
 
1.3%
143847 21
 
1.2%
143916 21
 
1.2%
143842 20
 
1.1%
Other values (354) 1544
86.5%
2024-05-11T14:42:49.660511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1727
17.3%
1 1612
16.1%
0 1542
15.4%
3 1373
13.7%
8 975
9.7%
9 827
8.3%
5 741
7.4%
7 402
 
4.0%
2 383
 
3.8%
6 382
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9964
99.5%
Dash Punctuation 47
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1727
17.3%
1 1612
16.2%
0 1542
15.5%
3 1373
13.8%
8 975
9.8%
9 827
8.3%
5 741
7.4%
7 402
 
4.0%
2 383
 
3.8%
6 382
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10011
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1727
17.3%
1 1612
16.1%
0 1542
15.4%
3 1373
13.7%
8 975
9.7%
9 827
8.3%
5 741
7.4%
7 402
 
4.0%
2 383
 
3.8%
6 382
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1727
17.3%
1 1612
16.1%
0 1542
15.4%
3 1373
13.7%
8 975
9.7%
9 827
8.3%
5 741
7.4%
7 402
 
4.0%
2 383
 
3.8%
6 382
 
3.8%

사업장명
Text

Distinct2667
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
2024-05-11T14:42:50.021322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length6.6151089
Min length1

Characters and Unicode

Total characters23993
Distinct characters658
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

Unique2260 ?
Unique (%)62.3%

Sample

1st row수정식품
2nd row충무슈퍼
3rd row무
4th row무
5th row무
ValueCountFrequency (%)
무 211
 
4.3%
gs25 199
 
4.1%
씨유 125
 
2.6%
세븐일레븐 125
 
2.6%
cu 47
 
1.0%
이마트24 43
 
0.9%
주)코리아세븐 43
 
0.9%
훼미리마트 42
 
0.9%
37
 
0.8%
미니스톱 29
 
0.6%
Other values (2588) 3967
81.5%
2024-05-11T14:42:50.593833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1244
 
5.2%
점 1138
 
4.7%
마 688
 
2.9%
트 653
 
2.7%
퍼 489
 
2.0%
2 436
 
1.8%
슈 398
 
1.7%
대 375
 
1.6%
자 367
 
1.5%
리 354
 
1.5%
Other values (648) 17851
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19973
83.2%
Space Separator 1244
 
5.2%
Uppercase Letter 1038
 
4.3%
Decimal Number 1004
 
4.2%
Close Punctuation 259
 
1.1%
Open Punctuation 258
 
1.1%
Lowercase Letter 133
 
0.6%
Dash Punctuation 50
 
0.2%
Other Punctuation 24
 
0.1%
Other Symbol 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1138
 
5.7%
마 688
 
3.4%
트 653
 
3.3%
퍼 489
 
2.4%
슈 398
 
2.0%
대 375
 
1.9%
자 367
 
1.8%
리 354
 
1.8%
중 338
 
1.7%
이 338
 
1.7%
Other values (577) 14835
74.3%
Uppercase Letter
ValueCountFrequency (%)
S 335
32.3%
G 318
30.6%
C 109
 
10.5%
U 97
 
9.3%
L 24
 
2.3%
M 19
 
1.8%
A 18
 
1.7%
B 15
 
1.4%
K 12
 
1.2%
O 12
 
1.2%
Other values (15) 79
 
7.6%
Lowercase Letter
ValueCountFrequency (%)
e 25
18.8%
o 13
9.8%
r 12
9.0%
a 12
9.0%
t 10
 
7.5%
y 9
 
6.8%
s 8
 
6.0%
u 8
 
6.0%
p 5
 
3.8%
m 5
 
3.8%
Other values (13) 26
19.5%
Decimal Number
ValueCountFrequency (%)
2 436
43.4%
5 350
34.9%
4 82
 
8.2%
3 41
 
4.1%
1 35
 
3.5%
6 22
 
2.2%
9 13
 
1.3%
0 12
 
1.2%
7 10
 
1.0%
8 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 7
29.2%
, 6
25.0%
& 5
20.8%
' 3
12.5%
: 2
 
8.3%
# 1
 
4.2%
Space Separator
ValueCountFrequency (%)
1244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19980
83.3%
Common 2840
 
11.8%
Latin 1173
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1138
 
5.7%
마 688
 
3.4%
트 653
 
3.3%
퍼 489
 
2.4%
슈 398
 
2.0%
대 375
 
1.9%
자 367
 
1.8%
리 354
 
1.8%
중 338
 
1.7%
이 338
 
1.7%
Other values (578) 14842
74.3%
Latin
ValueCountFrequency (%)
S 335
28.6%
G 318
27.1%
C 109
 
9.3%
U 97
 
8.3%
e 25
 
2.1%
L 24
 
2.0%
M 19
 
1.6%
A 18
 
1.5%
B 15
 
1.3%
o 13
 
1.1%
Other values (39) 200
17.1%
Common
ValueCountFrequency (%)
1244
43.8%
2 436
 
15.4%
5 350
 
12.3%
) 259
 
9.1%
( 258
 
9.1%
4 82
 
2.9%
- 50
 
1.8%
3 41
 
1.4%
1 35
 
1.2%
6 22
 
0.8%
Other values (11) 63
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19973
83.2%
ASCII 4011
 
16.7%
None 7
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1244
31.0%
2 436
 
10.9%
5 350
 
8.7%
S 335
 
8.4%
G 318
 
7.9%
) 259
 
6.5%
( 258
 
6.4%
C 109
 
2.7%
U 97
 
2.4%
4 82
 
2.0%
Other values (59) 523
13.0%
Hangul
ValueCountFrequency (%)
점 1138
 
5.7%
마 688
 
3.4%
트 653
 
3.3%
퍼 489
 
2.4%
슈 398
 
2.0%
대 375
 
1.9%
자 367
 
1.8%
리 354
 
1.8%
중 338
 
1.7%
이 338
 
1.7%
Other values (577) 14835
74.3%
None
ValueCountFrequency (%)
㈜ 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

최종수정일자
Date

Distinct2677
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
Minimum2007-07-03 10:13:15
Maximum2024-05-09 17:05:47
2024-05-11T14:42:50.851974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:51.075817image/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 size28.5 KiB
I
3057 
U
570 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3057
84.3%
U 570
 
15.7%

Length

2024-05-11T14:42:51.242297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:51.399801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3057
84.3%
u 570
 
15.7%

데이터갱신일자
Date

Distinct562
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:42:51.556513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:51.717796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3627
Missing (%)100.0%
Memory size32.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1093
Distinct (%)51.1%
Missing1489
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean207124.27
Minimum205276.78
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-05-11T14:42:51.882347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205276.78
5-th percentile205642.46
Q1206349.68
median207183.37
Q3207774.34
95-th percentile208526.98
Maximum209775.27
Range4498.4834
Interquartile range (IQR)1424.6689

Descriptive statistics

Standard deviation936.24573
Coefficient of variation (CV)0.0045202125
Kurtosis-0.28639855
Mean207124.27
Median Absolute Deviation (MAD)675.36065
Skewness0.20446511
Sum4.428317 × 108
Variance876556.06
MonotonicityNot monotonic
2024-05-11T14:42:52.027905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 40
 
1.1%
208201.993320839 17
 
0.5%
206479.980833988 17
 
0.5%
206445.881091692 13
 
0.4%
207514.918490401 11
 
0.3%
205481.814359166 9
 
0.2%
209194.595129323 9
 
0.2%
206031.196548172 9
 
0.2%
209775.267831522 9
 
0.2%
207741.352274131 9
 
0.2%
Other values (1083) 1995
55.0%
(Missing) 1489
41.1%
ValueCountFrequency (%)
205276.784422761 1
 
< 0.1%
205335.7201455 3
0.1%
205346.565381464 3
0.1%
205348.244454935 5
0.1%
205367.268135886 1
 
< 0.1%
205375.621853229 6
0.2%
205382.255152717 1
 
< 0.1%
205409.872008156 2
 
0.1%
205423.166680094 1
 
< 0.1%
205427.737448042 1
 
< 0.1%
ValueCountFrequency (%)
209775.267831522 9
0.2%
209766.973555533 1
 
< 0.1%
209734.218553133 3
 
0.1%
209679.58447051 3
 
0.1%
209653.739062273 4
0.1%
209637.078215509 1
 
< 0.1%
209602.113978282 3
 
0.1%
209589.042548422 4
0.1%
209587.408592767 1
 
< 0.1%
209551.051963422 2
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1092
Distinct (%)51.1%
Missing1489
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean449341.26
Minimum447331.9
Maximum452136.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-05-11T14:42:52.186689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447331.9
5-th percentile447727.46
Q1448342.44
median449094.73
Q3450327.58
95-th percentile451559.06
Maximum452136.72
Range4804.8136
Interquartile range (IQR)1985.1331

Descriptive statistics

Standard deviation1213.9956
Coefficient of variation (CV)0.002701723
Kurtosis-0.86772638
Mean449341.26
Median Absolute Deviation (MAD)929.44992
Skewness0.44614029
Sum9.6069161 × 108
Variance1473785.4
MonotonicityNot monotonic
2024-05-11T14:42:52.394125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 40
 
1.1%
447967.299542306 17
 
0.5%
449827.630945538 17
 
0.5%
448922.881688102 13
 
0.4%
450933.383229403 11
 
0.3%
449413.151252613 9
 
0.2%
449551.88757994 9
 
0.2%
448589.407281723 9
 
0.2%
448731.099217371 9
 
0.2%
450327.57709331 9
 
0.2%
Other values (1082) 1995
55.0%
(Missing) 1489
41.1%
ValueCountFrequency (%)
447331.904249819 3
0.1%
447345.67489312 1
 
< 0.1%
447369.114975005 1
 
< 0.1%
447372.650718356 1
 
< 0.1%
447374.008518853 1
 
< 0.1%
447379.671524405 3
0.1%
447399.009017426 1
 
< 0.1%
447399.697266999 1
 
< 0.1%
447404.717192681 2
0.1%
447413.748434959 1
 
< 0.1%
ValueCountFrequency (%)
452136.717870103 1
 
< 0.1%
452117.471356011 1
 
< 0.1%
452106.822321412 1
 
< 0.1%
452097.000128126 2
 
0.1%
452096.928759689 1
 
< 0.1%
452078.304729585 8
0.2%
452070.118445356 3
 
0.1%
452055.451869607 1
 
< 0.1%
452048.395975014 1
 
< 0.1%
452042.264814215 1
 
< 0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1668
Distinct (%)69.8%
Missing1239
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean20086526
Minimum19661025
Maximum20220224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-05-11T14:42:52.558587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19661025
5-th percentile19950301
Q120047886
median20091126
Q320141117
95-th percentile20190712
Maximum20220224
Range559199
Interquartile range (IQR)93230.75

Descriptive statistics

Standard deviation74383.26
Coefficient of variation (CV)0.0037031421
Kurtosis0.42011988
Mean20086526
Median Absolute Deviation (MAD)49979.5
Skewness-0.67788838
Sum4.7966624 × 1010
Variance5.5328694 × 109
MonotonicityNot monotonic
2024-05-11T14:42:52.767710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 103
 
2.8%
19960605 37
 
1.0%
19961118 8
 
0.2%
20020306 6
 
0.2%
19981230 6
 
0.2%
19980714 5
 
0.1%
20110105 5
 
0.1%
20071213 5
 
0.1%
20070213 5
 
0.1%
20081230 5
 
0.1%
Other values (1658) 2203
60.7%
(Missing) 1239
34.2%
ValueCountFrequency (%)
19661025 1
< 0.1%
19800701 2
0.1%
19801222 1
< 0.1%
19810813 1
< 0.1%
19830203 1
< 0.1%
19830722 1
< 0.1%
19831018 1
< 0.1%
19841214 1
< 0.1%
19850509 1
< 0.1%
19860412 1
< 0.1%
ValueCountFrequency (%)
20220224 1
< 0.1%
20220221 1
< 0.1%
20220207 1
< 0.1%
20220119 1
< 0.1%
20220112 1
< 0.1%
20220107 1
< 0.1%
20211223 1
< 0.1%
20211222 1
< 0.1%
20211123 1
< 0.1%
20211122 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
<NA>
1239 
2009년11월법개정전자료
1149 
제7조의3제2항에따른경우
1013 
제7조의3제3항에따른경우
226 

Length

Max length14
Median length13
Mean length10.242349
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009년11월법개정전자료
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1239
34.2%
2009년11월법개정전자료 1149
31.7%
제7조의3제2항에따른경우 1013
27.9%
제7조의3제3항에따른경우 226
 
6.2%

Length

2024-05-11T14:42:52.923643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:53.055974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1239
34.2%
2009년11월법개정전자료 1149
31.7%
제7조의3제2항에따른경우 1013
27.9%
제7조의3제3항에따른경우 226
 
6.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03040000199530400730560102219950310201007274취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>02 4533177<NA><NA>서울특별시 광진구 구의동 593번지 10호<NA><NA>수정식품2010-07-27 09:50:19I2018-08-31 23:59:59.0<NA><NA><NA>199503102009년11월법개정전자료
13040000199830400730560003519981223<NA>3폐업2폐업처리20020813<NA><NA><NA>02 4691111<NA><NA>서울특별시 광진구 중곡동 33번지 43호<NA><NA>충무슈퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
23040000199830400730560003919981230<NA>3폐업2폐업처리20030304<NA><NA><NA>02 4991873<NA><NA>서울특별시 광진구 화양동 8번지 57호<NA><NA>무2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
33040000199830400730560012719981230<NA>3폐업2폐업처리20031103<NA><NA><NA>02 4654883<NA><NA>서울특별시 광진구 군자동 353호<NA><NA>무2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
43040000199830400730560016319981228<NA>3폐업2폐업처리20030319<NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 484호 현대아파트상가211<NA><NA>무2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
53040000199830400730560025219981230<NA>3폐업2폐업처리<NA><NA><NA><NA>0200000000<NA><NA>서울특별시 광진구 중곡동 630번지 1호<NA><NA>무2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
63040000199830400730560051919981223<NA>3폐업2폐업처리20030415<NA><NA><NA>02 4472827<NA><NA>서울특별시 광진구 중곡동 33번지 33호<NA><NA>마송마트2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
73040000199830400730560065019981222<NA>3폐업2폐업처리20190627<NA><NA><NA>02 4587880<NA><NA>서울특별시 광진구 중곡동 62번지 32호서울특별시 광진구 긴고랑로 133 (중곡동)04944영민슈퍼2019-06-27 13:15:19U2019-06-29 02:40:00.0<NA>207853.296014450764.332396199812222009년11월법개정전자료
83040000199830400730560067719980114<NA>3폐업2폐업처리20030902<NA><NA><NA>02 4647749<NA><NA>서울특별시 광진구 화양동 2번지 1호<NA><NA>우물앞 식품점2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
93040000199830400730560068319981231<NA>3폐업2폐업처리20021008<NA><NA><NA>02 4599209<NA><NA>서울특별시 광진구 화양동 23번지 17호<NA><NA>칠성상회2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
3617304000020243040190056000092024-04-02<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 34-1서울특별시 광진구 능동로13길 59, 1층 (화양동)05016(주)코리아세븐 화양스타점2024-04-03 11:15:37I2023-12-04 00:05:00.0<NA>206064.295112449117.778717<NA><NA>
3618304000020243040190056000102024-04-02<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 241-96서울특별시 광진구 아차산로57길 41, 1층 (구의동)05041GS25 구의새한점2024-04-03 11:16:22I2023-12-04 00:05:00.0<NA>207750.740521448684.568034<NA><NA>
3619304000020243040190056000112024-04-11<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 427-13 뚝섬 1호 매점서울특별시 광진구 강변북로 2260, 뚝섬 1호 매점 (자양동)05097한강르네상스 뚝섬1호점2024-04-11 17:21:27I2023-12-03 23:03:00.0<NA>206297.741262447413.748435<NA><NA>
3620304000020243040190056000122024-04-11<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 252-23서울특별시 광진구 동일로66길 9, 1층 (중곡동)04916GS25 광진대성점2024-04-11 17:44:31I2023-12-03 23:03:00.0<NA>206628.221119451056.131431<NA><NA>
3621304000020243040190056000132024-04-16<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 644 로얄동아아파트서울특별시 광진구 뚝섬로52마길 60, 로얄동아아파트 상가동 101~102호 (자양동)05108동아마트2024-04-16 17:09:21I2023-12-03 23:08:00.0<NA>207125.780302447331.90425<NA><NA>
3622304000020243040190056000142024-04-24<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 98-22서울특별시 광진구 자양로53길 70, 1층 (중곡동)04951이마트24 중곡사랑2024-04-24 10:27:55I2023-12-03 22:06:00.0<NA>207969.487408450408.82353<NA><NA>
3623304000020243040190056000152024-04-25<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 581 광장자이아파트서울특별시 광진구 광나루로 595, B108호 (광장동, 광장자이아파트)04984탐주2024-04-25 17:49:22I2023-12-03 22:07:00.0<NA>208347.888035448928.108292<NA><NA>
3624304000020243040190056000162024-04-30<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 97-5 뚝섬 2호 매점서울특별시 광진구 강변북로 2210, 뚝섬 2호 매점 1층 (자양동)05097(주)한강제이에이치(CU뚝섬2호점)2024-05-01 10:09:07I2023-12-05 00:03:00.0<NA>205607.186172447642.163715<NA><NA>
3625304000020243040190056000172024-05-02<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 242-1서울특별시 광진구 긴고랑로 42-1, 1층 (중곡동)04914GS25 중곡센타점2024-05-02 17:14:13I2023-12-05 00:04:00.0<NA>207089.386862451144.54013<NA><NA>
3626304000020243040190056000182024-05-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 604-3서울특별시 광진구 뚝섬로50길 16, 1층 (자양동)05099(주)코리아세븐 자양한양점2024-05-07 17:57:42I2023-12-05 00:09:00.0<NA>206825.366909447724.963809<NA><NA>