Overview

Dataset statistics

Number of variables29
Number of observations603
Missing cells5260
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory146.2 KiB
Average record size in memory248.2 B

Variable types

Categorical8
Numeric8
DateTime4
Text6
Unsupported3

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),자산규모,부채총액,자본금,판매방식명
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18793/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.8%)Imbalance
휴업종료일자 is highly imbalanced (97.8%)Imbalance
인허가취소일자 has 566 (93.9%) missing valuesMissing
폐업일자 has 123 (20.4%) missing valuesMissing
재개업일자 has 479 (79.4%) missing valuesMissing
전화번호 has 97 (16.1%) missing valuesMissing
소재지면적 has 603 (100.0%) missing valuesMissing
소재지우편번호 has 399 (66.2%) missing valuesMissing
지번주소 has 136 (22.6%) missing valuesMissing
도로명주소 has 112 (18.6%) missing valuesMissing
도로명우편번호 has 265 (43.9%) missing valuesMissing
업태구분명 has 603 (100.0%) missing valuesMissing
좌표정보(X) has 109 (18.1%) missing valuesMissing
좌표정보(Y) has 109 (18.1%) missing valuesMissing
자산규모 has 352 (58.4%) missing valuesMissing
부채총액 has 352 (58.4%) missing valuesMissing
자본금 has 352 (58.4%) missing valuesMissing
판매방식명 has 603 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 55 (9.1%) zerosZeros
부채총액 has 152 (25.2%) zerosZeros
자본금 has 34 (5.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:32:47.293434
Analysis finished2024-05-11 05:32:48.560358
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3160000
603 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 603
100.0%

Length

2024-05-11T14:32:48.725003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:48.883485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 603
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct603
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0127439 × 1018
Minimum2.002316 × 1018
Maximum2.024316 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:32:49.068345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002316 × 1018
5-th percentile2.004316 × 1018
Q12.007316 × 1018
median2.012316 × 1018
Q32.017316 × 1018
95-th percentile2.022316 × 1018
Maximum2.024316 × 1018
Range2.2000004 × 1016
Interquartile range (IQR)1.0000004 × 1016

Descriptive statistics

Standard deviation5.7213281 × 1015
Coefficient of variation (CV)0.0028425515
Kurtosis-1.0977428
Mean2.0127439 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.12070104
Sum-3.8005523 × 1018
Variance3.2733595 × 1031
MonotonicityStrictly increasing
2024-05-11T14:32:49.311816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002316011724200001 1
 
0.2%
2016316015924200012 1
 
0.2%
2016316015924200014 1
 
0.2%
2016316015924200015 1
 
0.2%
2016316015924200016 1
 
0.2%
2016316015924200017 1
 
0.2%
2016316015924200018 1
 
0.2%
2016316015924200019 1
 
0.2%
2016316015924200020 1
 
0.2%
2016316015924200021 1
 
0.2%
Other values (593) 593
98.3%
ValueCountFrequency (%)
2002316011724200001 1
0.2%
2002316011724200002 1
0.2%
2002316011724200003 1
0.2%
2002316011724200004 1
0.2%
2002316011724200006 1
0.2%
2002316011724200007 1
0.2%
2002316011724200008 1
0.2%
2003316011724200009 1
0.2%
2003316011724200010 1
0.2%
2003316011724200011 1
0.2%
ValueCountFrequency (%)
2024316015924200006 1
0.2%
2024316015924200005 1
0.2%
2024316015924200004 1
0.2%
2024316015924200003 1
0.2%
2024316015924200002 1
0.2%
2024316015924200001 1
0.2%
2023316015924200015 1
0.2%
2023316015924200014 1
0.2%
2023316015924200013 1
0.2%
2023316015924200012 1
0.2%

인허가일자
Date

Distinct524
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2002-08-12 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T14:32:49.630513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:49.991040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)89.2%
Missing566
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean20056736
Minimum20030523
Maximum20070803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:32:50.269258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030523
5-th percentile20038349
Q120050225
median20060329
Q320070221
95-th percentile20070460
Maximum20070803
Range40280
Interquartile range (IQR)19996

Descriptive statistics

Standard deviation12292.62
Coefficient of variation (CV)0.00061289234
Kurtosis-0.76741961
Mean20056736
Median Absolute Deviation (MAD)9985
Skewness-0.54292564
Sum7.4209923 × 108
Variance1.511085 × 108
MonotonicityNot monotonic
2024-05-11T14:32:50.543689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20060329 2
 
0.3%
20070326 2
 
0.3%
20060823 2
 
0.3%
20070409 2
 
0.3%
20040204 1
 
0.2%
20060522 1
 
0.2%
20070315 1
 
0.2%
20061024 1
 
0.2%
20070803 1
 
0.2%
20070116 1
 
0.2%
Other values (23) 23
 
3.8%
(Missing) 566
93.9%
ValueCountFrequency (%)
20030523 1
0.2%
20030929 1
0.2%
20040204 1
0.2%
20040213 1
0.2%
20040302 1
0.2%
20040315 1
0.2%
20040618 1
0.2%
20040728 1
0.2%
20050131 1
0.2%
20050225 1
0.2%
ValueCountFrequency (%)
20070803 1
0.2%
20070627 1
0.2%
20070418 1
0.2%
20070409 2
0.3%
20070326 2
0.3%
20070315 1
0.2%
20070314 1
0.2%
20070221 1
0.2%
20070116 1
0.2%
20061201 1
0.2%

영업상태코드
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3
239 
4
234 
1
114 
5
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 239
39.6%
4 234
38.8%
1 114
18.9%
5 16
 
2.7%

Length

2024-05-11T14:32:50.816712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:50.983021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 239
39.6%
4 234
38.8%
1 114
18.9%
5 16
 
2.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
폐업
239 
취소/말소/만료/정지/중지
234 
영업/정상
114 
제외/삭제/전출
 
16

Length

Max length14
Median length8
Mean length7.3830846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 239
39.6%
취소/말소/만료/정지/중지 234
38.8%
영업/정상 114
18.9%
제외/삭제/전출 16
 
2.7%

Length

2024-05-11T14:32:51.160769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:51.338194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 239
39.6%
취소/말소/만료/정지/중지 234
38.8%
영업/정상 114
18.9%
제외/삭제/전출 16
 
2.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3
239 
7
197 
1
114 
4
37 
5
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row4

Common Values

ValueCountFrequency (%)
3 239
39.6%
7 197
32.7%
1 114
18.9%
4 37
 
6.1%
5 16
 
2.7%

Length

2024-05-11T14:32:51.542246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:51.764292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 239
39.6%
7 197
32.7%
1 114
18.9%
4 37
 
6.1%
5 16
 
2.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
폐업처리
239 
직권말소
197 
정상영업
114 
직권취소
37 
타시군구이관
 
16

Length

Max length6
Median length4
Mean length4.053068
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 239
39.6%
직권말소 197
32.7%
정상영업 114
18.9%
직권취소 37
 
6.1%
타시군구이관 16
 
2.7%

Length

2024-05-11T14:32:52.011447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:52.223191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 239
39.6%
직권말소 197
32.7%
정상영업 114
18.9%
직권취소 37
 
6.1%
타시군구이관 16
 
2.7%

폐업일자
Date

MISSING 

Distinct273
Distinct (%)56.9%
Missing123
Missing (%)20.4%
Memory size4.8 KiB
Minimum2003-05-23 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T14:32:52.480264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:52.717094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
601 
20080804
 
1
20140526
 
1

Length

Max length8
Median length4
Mean length4.013267
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 601
99.7%
20080804 1
 
0.2%
20140526 1
 
0.2%

Length

2024-05-11T14:32:52.991406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:53.189357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 601
99.7%
20080804 1
 
0.2%
20140526 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
601 
20080904
 
1
20160430
 
1

Length

Max length8
Median length4
Mean length4.013267
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 601
99.7%
20080904 1
 
0.2%
20160430 1
 
0.2%

Length

2024-05-11T14:32:53.388988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:53.581488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 601
99.7%
20080904 1
 
0.2%
20160430 1
 
0.2%

재개업일자
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)86.3%
Missing479
Missing (%)79.4%
Infinite0
Infinite (%)0.0%
Mean20049751
Minimum20020812
Maximum20070914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:32:53.752184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020812
5-th percentile20021123
Q120040614
median20050612
Q320060523
95-th percentile20070521
Maximum20070914
Range50102
Interquartile range (IQR)19908.5

Descriptive statistics

Standard deviation14604.508
Coefficient of variation (CV)0.0007284134
Kurtosis-0.78779723
Mean20049751
Median Absolute Deviation (MAD)9989
Skewness-0.29872108
Sum2.4861692 × 109
Variance2.1329164 × 108
MonotonicityNot monotonic
2024-05-11T14:32:53.998633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060330 3
 
0.5%
20050408 3
 
0.5%
20070214 2
 
0.3%
20070515 2
 
0.3%
20031117 2
 
0.3%
20040401 2
 
0.3%
20050412 2
 
0.3%
20050926 2
 
0.3%
20051123 2
 
0.3%
20060210 2
 
0.3%
Other values (97) 102
 
16.9%
(Missing) 479
79.4%
ValueCountFrequency (%)
20020812 1
0.2%
20020829 1
0.2%
20020831 1
0.2%
20021010 1
0.2%
20021015 1
0.2%
20021120 1
0.2%
20021122 1
0.2%
20021129 1
0.2%
20030117 1
0.2%
20030126 1
0.2%
ValueCountFrequency (%)
20070914 1
0.2%
20070615 1
0.2%
20070601 2
0.3%
20070528 2
0.3%
20070521 2
0.3%
20070518 1
0.2%
20070515 2
0.3%
20070510 1
0.2%
20070502 1
0.2%
20070501 1
0.2%

전화번호
Text

MISSING 

Distinct472
Distinct (%)93.3%
Missing97
Missing (%)16.1%
Memory size4.8 KiB
2024-05-11T14:32:54.516501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length10.695652
Min length7

Characters and Unicode

Total characters5412
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

Unique450 ?
Unique (%)88.9%

Sample

1st row02-869-0164
2nd row02-2107-8686
3rd row02-2681-9710
4th row02-2631-2430
5th row02-2612-4768
ValueCountFrequency (%)
02-6049-4051 11
 
2.0%
02 10
 
1.8%
070-4651-2471 3
 
0.5%
02-859-2100 3
 
0.5%
1588 3
 
0.5%
02-000-0000 3
 
0.5%
2103 2
 
0.4%
2082 2
 
0.4%
02-2614-9480 2
 
0.4%
890 2
 
0.4%
Other values (484) 505
92.5%
2024-05-11T14:32:55.137690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 885
16.4%
- 781
14.4%
2 694
12.8%
8 497
9.2%
1 486
9.0%
6 470
8.7%
5 415
7.7%
3 322
 
5.9%
7 308
 
5.7%
4 286
 
5.3%
Other values (4) 268
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4589
84.8%
Dash Punctuation 781
 
14.4%
Space Separator 40
 
0.7%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 885
19.3%
2 694
15.1%
8 497
10.8%
1 486
10.6%
6 470
10.2%
5 415
9.0%
3 322
 
7.0%
7 308
 
6.7%
4 286
 
6.2%
9 226
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 781
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5412
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 885
16.4%
- 781
14.4%
2 694
12.8%
8 497
9.2%
1 486
9.0%
6 470
8.7%
5 415
7.7%
3 322
 
5.9%
7 308
 
5.7%
4 286
 
5.3%
Other values (4) 268
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 885
16.4%
- 781
14.4%
2 694
12.8%
8 497
9.2%
1 486
9.0%
6 470
8.7%
5 415
7.7%
3 322
 
5.9%
7 308
 
5.7%
4 286
 
5.3%
Other values (4) 268
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing603
Missing (%)100.0%
Memory size5.4 KiB

소재지우편번호
Text

MISSING 

Distinct56
Distinct (%)27.5%
Missing399
Missing (%)66.2%
Memory size4.8 KiB
2024-05-11T14:32:55.453317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0196078
Min length6

Characters and Unicode

Total characters1228
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

Unique34 ?
Unique (%)16.7%

Sample

1st row158090
2nd row152092
3rd row152769
4th row152050
5th row152050
ValueCountFrequency (%)
152050 92
45.1%
152053 11
 
5.4%
152090 10
 
4.9%
152741 5
 
2.5%
152080 5
 
2.5%
152842 5
 
2.5%
152790 5
 
2.5%
152719 4
 
2.0%
152848 4
 
2.0%
152051 3
 
1.5%
Other values (46) 60
29.4%
2024-05-11T14:32:55.963022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 314
25.6%
0 278
22.6%
1 227
18.5%
2 207
16.9%
8 62
 
5.0%
7 43
 
3.5%
9 32
 
2.6%
4 27
 
2.2%
3 23
 
1.9%
6 11
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1224
99.7%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 314
25.7%
0 278
22.7%
1 227
18.5%
2 207
16.9%
8 62
 
5.1%
7 43
 
3.5%
9 32
 
2.6%
4 27
 
2.2%
3 23
 
1.9%
6 11
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 314
25.6%
0 278
22.6%
1 227
18.5%
2 207
16.9%
8 62
 
5.0%
7 43
 
3.5%
9 32
 
2.6%
4 27
 
2.2%
3 23
 
1.9%
6 11
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 314
25.6%
0 278
22.6%
1 227
18.5%
2 207
16.9%
8 62
 
5.0%
7 43
 
3.5%
9 32
 
2.6%
4 27
 
2.2%
3 23
 
1.9%
6 11
 
0.9%

지번주소
Text

MISSING 

Distinct362
Distinct (%)77.5%
Missing136
Missing (%)22.6%
Memory size4.8 KiB
2024-05-11T14:32:56.301710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length33.211991
Min length17

Characters and Unicode

Total characters15510
Distinct characters241
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

Unique298 ?
Unique (%)63.8%

Sample

1st row서울특별시 구로구 구로동 일반번지 ***-* 선경****호
2nd row서울특별시 구로구 구로동 일반번지 ***-** 벽산***호
3rd row서울특별시 구로구 고척동 일반번지 ***-* 유통상가 가-바-***
4th row서울특별시 구로구 구로동 일반번지 ***-* 신구로상가 라-***
5th row서울특별시 구로구 궁동 일반번지 ***-**
ValueCountFrequency (%)
서울특별시 465
15.8%
구로구 459
15.6%
호 425
14.5%
구로동 360
12.3%
번지 274
9.3%
213
7.3%
일반번지 103
 
3.5%
층 59
 
2.0%
개봉동 40
 
1.4%
대륭포스트타워*차 25
 
0.9%
Other values (247) 514
17.5%
2024-05-11T14:32:56.959807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3152
20.3%
2634
17.0%
구 1317
 
8.5%
로 854
 
5.5%
동 485
 
3.1%
시 473
 
3.0%
서 468
 
3.0%
울 466
 
3.0%
별 465
 
3.0%
특 465
 
3.0%
Other values (231) 4731
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9405
60.6%
Other Punctuation 3169
 
20.4%
Space Separator 2634
 
17.0%
Dash Punctuation 195
 
1.3%
Uppercase Letter 53
 
0.3%
Decimal Number 17
 
0.1%
Lowercase Letter 15
 
0.1%
Letter Number 9
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1317
 
14.0%
로 854
 
9.1%
동 485
 
5.2%
시 473
 
5.0%
서 468
 
5.0%
울 466
 
5.0%
별 465
 
4.9%
특 465
 
4.9%
호 458
 
4.9%
지 436
 
4.6%
Other values (190) 3518
37.4%
Uppercase Letter
ValueCountFrequency (%)
T 11
20.8%
K 8
15.1%
E 5
9.4%
H 5
9.4%
I 4
 
7.5%
R 4
 
7.5%
W 4
 
7.5%
O 4
 
7.5%
B 3
 
5.7%
D 2
 
3.8%
Other values (3) 3
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 6
35.3%
8 3
17.6%
0 2
 
11.8%
5 1
 
5.9%
3 1
 
5.9%
7 1
 
5.9%
9 1
 
5.9%
2 1
 
5.9%
6 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
k 4
26.7%
s 4
26.7%
a 2
13.3%
o 1
 
6.7%
e 1
 
6.7%
w 1
 
6.7%
r 1
 
6.7%
b 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 3152
99.5%
, 11
 
0.3%
. 5
 
0.2%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
77.8%
Ⅲ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
2634
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9405
60.6%
Common 6028
38.9%
Latin 77
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1317
 
14.0%
로 854
 
9.1%
동 485
 
5.2%
시 473
 
5.0%
서 468
 
5.0%
울 466
 
5.0%
별 465
 
4.9%
특 465
 
4.9%
호 458
 
4.9%
지 436
 
4.6%
Other values (190) 3518
37.4%
Latin
ValueCountFrequency (%)
T 11
14.3%
K 8
 
10.4%
Ⅱ 7
 
9.1%
E 5
 
6.5%
H 5
 
6.5%
I 4
 
5.2%
k 4
 
5.2%
s 4
 
5.2%
R 4
 
5.2%
W 4
 
5.2%
Other values (13) 21
27.3%
Common
ValueCountFrequency (%)
* 3152
52.3%
2634
43.7%
- 195
 
3.2%
, 11
 
0.2%
1 6
 
0.1%
) 5
 
0.1%
( 5
 
0.1%
. 5
 
0.1%
~ 3
 
< 0.1%
8 3
 
< 0.1%
Other values (8) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9405
60.6%
ASCII 6096
39.3%
Number Forms 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3152
51.7%
2634
43.2%
- 195
 
3.2%
, 11
 
0.2%
T 11
 
0.2%
K 8
 
0.1%
1 6
 
0.1%
) 5
 
0.1%
( 5
 
0.1%
E 5
 
0.1%
Other values (29) 64
 
1.0%
Hangul
ValueCountFrequency (%)
구 1317
 
14.0%
로 854
 
9.1%
동 485
 
5.2%
시 473
 
5.0%
서 468
 
5.0%
울 466
 
5.0%
별 465
 
4.9%
특 465
 
4.9%
호 458
 
4.9%
지 436
 
4.6%
Other values (190) 3518
37.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
77.8%
Ⅲ 2
 
22.2%

도로명주소
Text

MISSING 

Distinct398
Distinct (%)81.1%
Missing112
Missing (%)18.6%
Memory size4.8 KiB
2024-05-11T14:32:57.378586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length48
Mean length40.92668
Min length19

Characters and Unicode

Total characters20095
Distinct characters250
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

Unique330 ?
Unique (%)67.2%

Sample

1st row서울특별시 양천구 남부순환로 *** (신월동,성창빌딩 ***호)
2nd row서울특별시 구로구 디지털로 ***, ****호 (구로동, 한신IT타워)
3rd row서울특별시 구로구 개봉로**마길 * (개봉동,고려주택 ***호)
4th row서울특별시 구로구 디지털로**길 **, ****호 (구로동, 우림이비즈센터)
5th row서울특별시 구로구 디지털로**길 **-** (구로동,이앤씨*차 ***호)
ValueCountFrequency (%)
512
15.2%
서울특별시 489
14.5%
구로구 483
14.3%
호 375
11.1%
구로동 288
 
8.5%
디지털로**길 212
 
6.3%
층 110
 
3.3%
디지털로 64
 
1.9%
대륭포스트타워*차 34
 
1.0%
경인로 29
 
0.9%
Other values (330) 783
23.2%
2024-05-11T14:32:58.083514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3742
18.6%
2888
 
14.4%
로 1419
 
7.1%
구 1418
 
7.1%
, 716
 
3.6%
동 531
 
2.6%
시 501
 
2.5%
서 493
 
2.5%
) 491
 
2.4%
( 491
 
2.4%
Other values (240) 7405
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11528
57.4%
Other Punctuation 4464
 
22.2%
Space Separator 2888
 
14.4%
Close Punctuation 491
 
2.4%
Open Punctuation 491
 
2.4%
Dash Punctuation 100
 
0.5%
Uppercase Letter 75
 
0.4%
Decimal Number 34
 
0.2%
Letter Number 11
 
0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1419
 
12.3%
구 1418
 
12.3%
동 531
 
4.6%
시 501
 
4.3%
서 493
 
4.3%
울 490
 
4.3%
별 489
 
4.2%
특 489
 
4.2%
호 428
 
3.7%
지 382
 
3.3%
Other values (200) 4888
42.4%
Uppercase Letter
ValueCountFrequency (%)
T 13
17.3%
K 9
12.0%
B 9
12.0%
A 7
9.3%
I 6
8.0%
H 6
8.0%
R 5
 
6.7%
E 5
 
6.7%
O 4
 
5.3%
W 4
 
5.3%
Other values (6) 7
9.3%
Decimal Number
ValueCountFrequency (%)
1 8
23.5%
3 7
20.6%
5 6
17.6%
0 4
11.8%
4 4
11.8%
2 4
11.8%
9 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
k 2
25.0%
s 2
25.0%
o 1
12.5%
w 1
12.5%
e 1
12.5%
r 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 3742
83.8%
, 716
 
16.0%
. 5
 
0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
63.6%
Ⅲ 4
36.4%
Space Separator
ValueCountFrequency (%)
2888
100.0%
Close Punctuation
ValueCountFrequency (%)
) 491
100.0%
Open Punctuation
ValueCountFrequency (%)
( 491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11528
57.4%
Common 8473
42.2%
Latin 94
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1419
 
12.3%
구 1418
 
12.3%
동 531
 
4.6%
시 501
 
4.3%
서 493
 
4.3%
울 490
 
4.3%
별 489
 
4.2%
특 489
 
4.2%
호 428
 
3.7%
지 382
 
3.3%
Other values (200) 4888
42.4%
Latin
ValueCountFrequency (%)
T 13
13.8%
K 9
 
9.6%
B 9
 
9.6%
A 7
 
7.4%
Ⅱ 7
 
7.4%
I 6
 
6.4%
H 6
 
6.4%
R 5
 
5.3%
E 5
 
5.3%
Ⅲ 4
 
4.3%
Other values (14) 23
24.5%
Common
ValueCountFrequency (%)
* 3742
44.2%
2888
34.1%
, 716
 
8.5%
) 491
 
5.8%
( 491
 
5.8%
- 100
 
1.2%
1 8
 
0.1%
3 7
 
0.1%
5 6
 
0.1%
~ 5
 
0.1%
Other values (6) 19
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11528
57.4%
ASCII 8556
42.6%
Number Forms 11
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3742
43.7%
2888
33.8%
, 716
 
8.4%
) 491
 
5.7%
( 491
 
5.7%
- 100
 
1.2%
T 13
 
0.2%
K 9
 
0.1%
B 9
 
0.1%
1 8
 
0.1%
Other values (28) 89
 
1.0%
Hangul
ValueCountFrequency (%)
로 1419
 
12.3%
구 1418
 
12.3%
동 531
 
4.6%
시 501
 
4.3%
서 493
 
4.3%
울 490
 
4.3%
별 489
 
4.2%
특 489
 
4.2%
호 428
 
3.7%
지 382
 
3.3%
Other values (200) 4888
42.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
63.6%
Ⅲ 4
36.4%

도로명우편번호
Text

MISSING 

Distinct102
Distinct (%)30.2%
Missing265
Missing (%)43.9%
Memory size4.8 KiB
2024-05-11T14:32:58.535041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3254438
Min length5

Characters and Unicode

Total characters1800
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)15.4%

Sample

1st row152768
2nd row152769
3rd row152777
4th row152794
5th row152841
ValueCountFrequency (%)
08390 34
 
10.1%
08389 22
 
6.5%
08378 21
 
6.2%
08381 16
 
4.7%
08377 14
 
4.1%
08393 11
 
3.3%
08375 11
 
3.3%
08298 10
 
3.0%
08380 10
 
3.0%
152842 10
 
3.0%
Other values (92) 179
53.0%
2024-05-11T14:32:59.596243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 409
22.7%
0 323
17.9%
3 212
11.8%
2 201
11.2%
7 154
 
8.6%
1 152
 
8.4%
5 131
 
7.3%
9 120
 
6.7%
4 48
 
2.7%
6 43
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1793
99.6%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 409
22.8%
0 323
18.0%
3 212
11.8%
2 201
11.2%
7 154
 
8.6%
1 152
 
8.5%
5 131
 
7.3%
9 120
 
6.7%
4 48
 
2.7%
6 43
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 409
22.7%
0 323
17.9%
3 212
11.8%
2 201
11.2%
7 154
 
8.6%
1 152
 
8.4%
5 131
 
7.3%
9 120
 
6.7%
4 48
 
2.7%
6 43
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 409
22.7%
0 323
17.9%
3 212
11.8%
2 201
11.2%
7 154
 
8.6%
1 152
 
8.4%
5 131
 
7.3%
9 120
 
6.7%
4 48
 
2.7%
6 43
 
2.4%

사업장명
Text

Distinct591
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-05-11T14:33:00.115848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length19
Mean length8.2968491
Min length1

Characters and Unicode

Total characters5003
Distinct characters440
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique579 ?
Unique (%)96.0%

Sample

1st row한경리치웨이 구로공단지사
2nd row(주)대영테크
3rd row현대라이스
4th row지엔비플러스
5th row한국장애인공예협의회
ValueCountFrequency (%)
주식회사 142
 
16.4%
주 27
 
3.1%
바이오 4
 
0.5%
t 3
 
0.3%
백세 2
 
0.2%
텔레콤 2
 
0.2%
티윈스 2
 
0.2%
정보통신 2
 
0.2%
2
 
0.2%
새희망씨앗 2
 
0.2%
Other values (663) 680
78.3%
2024-05-11T14:33:00.863750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 328
 
6.6%
267
 
5.3%
) 202
 
4.0%
( 202
 
4.0%
이 189
 
3.8%
사 171
 
3.4%
회 161
 
3.2%
식 150
 
3.0%
스 146
 
2.9%
에 64
 
1.3%
Other values (430) 3123
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4065
81.3%
Space Separator 267
 
5.3%
Close Punctuation 202
 
4.0%
Open Punctuation 202
 
4.0%
Uppercase Letter 122
 
2.4%
Lowercase Letter 99
 
2.0%
Other Punctuation 22
 
0.4%
Decimal Number 15
 
0.3%
Other Symbol 5
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 328
 
8.1%
이 189
 
4.6%
사 171
 
4.2%
회 161
 
4.0%
식 150
 
3.7%
스 146
 
3.6%
에 64
 
1.6%
인 56
 
1.4%
아 55
 
1.4%
리 50
 
1.2%
Other values (374) 2695
66.3%
Uppercase Letter
ValueCountFrequency (%)
T 14
11.5%
C 12
9.8%
K 11
 
9.0%
S 11
 
9.0%
B 10
 
8.2%
E 9
 
7.4%
I 7
 
5.7%
M 7
 
5.7%
L 6
 
4.9%
A 6
 
4.9%
Other values (11) 29
23.8%
Lowercase Letter
ValueCountFrequency (%)
e 18
18.2%
o 9
 
9.1%
n 8
 
8.1%
l 7
 
7.1%
c 7
 
7.1%
t 6
 
6.1%
i 6
 
6.1%
m 5
 
5.1%
p 4
 
4.0%
r 4
 
4.0%
Other values (10) 25
25.3%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 4
26.7%
4 2
 
13.3%
0 2
 
13.3%
6 1
 
6.7%
3 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 12
54.5%
& 7
31.8%
, 2
 
9.1%
？ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
267
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4066
81.3%
Common 712
 
14.2%
Latin 221
 
4.4%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 328
 
8.1%
이 189
 
4.6%
사 171
 
4.2%
회 161
 
4.0%
식 150
 
3.7%
스 146
 
3.6%
에 64
 
1.6%
인 56
 
1.4%
아 55
 
1.4%
리 50
 
1.2%
Other values (372) 2696
66.3%
Latin
ValueCountFrequency (%)
e 18
 
8.1%
T 14
 
6.3%
C 12
 
5.4%
K 11
 
5.0%
S 11
 
5.0%
B 10
 
4.5%
o 9
 
4.1%
E 9
 
4.1%
n 8
 
3.6%
l 7
 
3.2%
Other values (31) 112
50.7%
Common
ValueCountFrequency (%)
267
37.5%
) 202
28.4%
( 202
28.4%
. 12
 
1.7%
& 7
 
1.0%
1 5
 
0.7%
- 4
 
0.6%
2 4
 
0.6%
4 2
 
0.3%
, 2
 
0.3%
Other values (4) 5
 
0.7%
Han
ValueCountFrequency (%)
多 2
50.0%
韓 1
25.0%
國 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4061
81.2%
ASCII 932
 
18.6%
None 6
 
0.1%
CJK 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 328
 
8.1%
이 189
 
4.7%
사 171
 
4.2%
회 161
 
4.0%
식 150
 
3.7%
스 146
 
3.6%
에 64
 
1.6%
인 56
 
1.4%
아 55
 
1.4%
리 50
 
1.2%
Other values (371) 2691
66.3%
ASCII
ValueCountFrequency (%)
267
28.6%
) 202
21.7%
( 202
21.7%
e 18
 
1.9%
T 14
 
1.5%
. 12
 
1.3%
C 12
 
1.3%
K 11
 
1.2%
S 11
 
1.2%
B 10
 
1.1%
Other values (44) 173
18.6%
None
ValueCountFrequency (%)
㈜ 5
83.3%
？ 1
 
16.7%
CJK
ValueCountFrequency (%)
多 2
50.0%
韓 1
25.0%
國 1
25.0%

최종수정일자
Date

Distinct567
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2007-09-04 09:37:22
Maximum2024-05-09 13:24:24
2024-05-11T14:33:01.113346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:01.359369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
I
436 
U
167 

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 436
72.3%
U 167
 
27.7%

Length

2024-05-11T14:33:01.570312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:01.732929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 436
72.3%
u 167
 
27.7%

데이터갱신일자
Date

Distinct135
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T14:33:01.923056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:02.168922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing603
Missing (%)100.0%
Memory size5.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)34.0%
Missing109
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean190023.83
Minimum166973.38
Maximum210932.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:33:02.446700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166973.38
5-th percentile186520.46
Q1190107.05
median190504.78
Q3190686.69
95-th percentile190994.52
Maximum210932.07
Range43958.689
Interquartile range (IQR)579.64942

Descriptive statistics

Standard deviation2321.6222
Coefficient of variation (CV)0.012217531
Kurtosis42.820905
Mean190023.83
Median Absolute Deviation (MAD)241.05543
Skewness0.078965274
Sum93871774
Variance5389929.4
MonotonicityNot monotonic
2024-05-11T14:33:02.684671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190680.536850936 24
 
4.0%
191020.264430044 18
 
3.0%
190776.468544178 18
 
3.0%
190671.436719919 15
 
2.5%
190410.047738361 15
 
2.5%
190504.7782409 14
 
2.3%
190822.851419439 13
 
2.2%
190666.864354145 11
 
1.8%
190609.413674522 10
 
1.7%
190741.158117503 10
 
1.7%
Other values (158) 346
57.4%
(Missing) 109
 
18.1%
ValueCountFrequency (%)
166973.378968063 1
0.2%
176476.084624719 1
0.2%
183717.389594075 1
0.2%
184215.046527558 1
0.2%
185054.646894885 1
0.2%
185180.831593961 1
0.2%
185315.574934529 1
0.2%
185422.054671927 1
0.2%
185464.586725989 1
0.2%
185783.246162965 2
0.3%
ValueCountFrequency (%)
210932.067547437 1
 
0.2%
206517.008095381 1
 
0.2%
204029.346809495 1
 
0.2%
201535.596219318 1
 
0.2%
191123.328755362 1
 
0.2%
191079.47245981 1
 
0.2%
191037.35 1
 
0.2%
191020.264430044 18
3.0%
190980.657371441 9
1.5%
190967.257864999 8
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)34.0%
Missing109
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean443172.59
Minimum441701.85
Maximum467593.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:33:02.893105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441701.85
5-th percentile442154.99
Q1442392.65
median442645.33
Q3443850.86
95-th percentile444781.4
Maximum467593.87
Range25892.017
Interquartile range (IQR)1458.2149

Descriptive statistics

Standard deviation1561.5341
Coefficient of variation (CV)0.003523535
Kurtosis133.70744
Mean443172.59
Median Absolute Deviation (MAD)392.19768
Skewness9.4067713
Sum2.1892726 × 108
Variance2438388.9
MonotonicityNot monotonic
2024-05-11T14:33:03.146863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442392.645303533 24
 
4.0%
442460.919021593 18
 
3.0%
442370.143700207 18
 
3.0%
442219.137493629 15
 
2.5%
443953.502895004 15
 
2.5%
442154.992807483 14
 
2.3%
442253.132895893 13
 
2.2%
442750.016695612 11
 
1.8%
442782.030555155 10
 
1.7%
442703.311770946 10
 
1.7%
Other values (158) 346
57.4%
(Missing) 109
 
18.1%
ValueCountFrequency (%)
441701.854538074 1
 
0.2%
442012.171190477 1
 
0.2%
442071.447779897 4
 
0.7%
442101.685544921 1
 
0.2%
442113.916061607 6
 
1.0%
442118.757432056 2
 
0.3%
442154.992807483 14
2.3%
442204.788273087 1
 
0.2%
442216.317475069 3
 
0.5%
442219.137493629 15
2.5%
ValueCountFrequency (%)
467593.871608779 1
 
0.2%
457264.89103037 1
 
0.2%
446714.49308267 1
 
0.2%
445488.900976 1
 
0.2%
445414.130772261 1
 
0.2%
445273.42270345 1
 
0.2%
445250.538868558 6
1.0%
445157.626366229 2
 
0.3%
445062.741303 1
 
0.2%
445031.729228073 1
 
0.2%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct125
Distinct (%)49.8%
Missing352
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean1.5501328 × 1010
Minimum0
Maximum2.6521936 × 1012
Zeros55
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:33:03.380687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15000000
median50000000
Q33 × 108
95-th percentile3.0040389 × 109
Maximum2.6521936 × 1012
Range2.6521936 × 1012
Interquartile range (IQR)2.95 × 108

Descriptive statistics

Standard deviation1.7169792 × 1011
Coefficient of variation (CV)11.076336
Kurtosis225.1606
Mean1.5501328 × 1010
Median Absolute Deviation (MAD)50000000
Skewness14.724714
Sum3.8908333 × 1012
Variance2.9480177 × 1022
MonotonicityNot monotonic
2024-05-11T14:33:03.646583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
9.1%
50000000 30
 
5.0%
10000000 12
 
2.0%
20000000 9
 
1.5%
100000000 7
 
1.2%
30000000 5
 
0.8%
300000000 5
 
0.8%
500000000 4
 
0.7%
200000000 3
 
0.5%
5000000 3
 
0.5%
Other values (115) 118
 
19.6%
(Missing) 352
58.4%
ValueCountFrequency (%)
0 55
9.1%
300000 1
 
0.2%
800000 1
 
0.2%
1000000 2
 
0.3%
3040600 1
 
0.2%
4550000 1
 
0.2%
5000000 3
 
0.5%
5513703 1
 
0.2%
9000000 1
 
0.2%
9995600 1
 
0.2%
ValueCountFrequency (%)
2652193606112 1
0.2%
524557779000 1
0.2%
240338420000 1
0.2%
240285409253 1
0.2%
43076000000 1
0.2%
41982040220 1
0.2%
26410367965 1
0.2%
24928190550 1
0.2%
18510667541 1
0.2%
12607592400 1
0.2%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)39.0%
Missing352
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean1.019605 × 1010
Minimum0
Maximum2.0387169 × 1012
Zeros152
Zeros (%)25.2%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:33:03.880058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.0849408 × 108
95-th percentile2.6945482 × 109
Maximum2.0387169 × 1012
Range2.0387169 × 1012
Interquartile range (IQR)1.0849408 × 108

Descriptive statistics

Standard deviation1.2964627 × 1011
Coefficient of variation (CV)12.715342
Kurtosis242.55304
Mean1.019605 × 1010
Median Absolute Deviation (MAD)0
Skewness15.464711
Sum2.5592086 × 1012
Variance1.6808154 × 1022
MonotonicityNot monotonic
2024-05-11T14:33:04.136065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152
25.2%
495000 2
 
0.3%
52000000 2
 
0.3%
506926306 1
 
0.2%
417161287 1
 
0.2%
84847679 1
 
0.2%
92451883 1
 
0.2%
333083040 1
 
0.2%
562728 1
 
0.2%
3646341630 1
 
0.2%
Other values (88) 88
 
14.6%
(Missing) 352
58.4%
ValueCountFrequency (%)
0 152
25.2%
59160 1
 
0.2%
495000 2
 
0.3%
562728 1
 
0.2%
624850 1
 
0.2%
1434000 1
 
0.2%
2147540 1
 
0.2%
7271260 1
 
0.2%
15000000 1
 
0.2%
15337215 1
 
0.2%
ValueCountFrequency (%)
2038716861649 1
0.2%
188371829000 1
0.2%
182472589000 1
0.2%
41646231531 1
0.2%
26876045762 1
0.2%
16614199381 1
0.2%
7697564605 1
0.2%
7411407369 1
0.2%
7124000000 1
0.2%
4857214128 1
0.2%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)25.9%
Missing352
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean1.3350714 × 109
Minimum-1.3569932 × 108
Maximum1.9863918 × 1011
Zeros34
Zeros (%)5.6%
Negative2
Negative (%)0.3%
Memory size5.4 KiB
2024-05-11T14:33:04.387466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.3569932 × 108
5-th percentile0
Q110000000
median50000000
Q31 × 108
95-th percentile5.5 × 108
Maximum1.9863918 × 1011
Range1.9877488 × 1011
Interquartile range (IQR)90000000

Descriptive statistics

Standard deviation1.2826739 × 1010
Coefficient of variation (CV)9.6075309
Kurtosis226.47657
Mean1.3350714 × 109
Median Absolute Deviation (MAD)49000000
Skewness14.746636
Sum3.3510291 × 1011
Variance1.6452524 × 1020
MonotonicityNot monotonic
2024-05-11T14:33:04.634591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 55
 
9.1%
0 34
 
5.6%
10000000 23
 
3.8%
100000000 21
 
3.5%
300000000 14
 
2.3%
20000000 10
 
1.7%
30000000 9
 
1.5%
150000000 7
 
1.2%
1000000 6
 
1.0%
5000000 6
 
1.0%
Other values (55) 66
 
10.9%
(Missing) 352
58.4%
ValueCountFrequency (%)
-135699320 1
 
0.2%
-32833469 1
 
0.2%
0 34
5.6%
300000 1
 
0.2%
800000 1
 
0.2%
1000000 6
 
1.0%
2843577 1
 
0.2%
3000000 1
 
0.2%
5000000 6
 
1.0%
9000000 1
 
0.2%
ValueCountFrequency (%)
198639177722 1
0.2%
28909660000 1
0.2%
19609208800 1
0.2%
18998960596 1
0.2%
15105994458 1
0.2%
14187015821 1
0.2%
8313991169 1
0.2%
4400000000 1
0.2%
3500000000 1
0.2%
1715979410 1
0.2%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing603
Missing (%)100.0%
Memory size5.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03160000200231601172420000120020812<NA>4취소/말소/만료/정지/중지7직권말소20121024<NA><NA>2002081202-869-0164<NA><NA>서울특별시 구로구 구로동 일반번지 ***-* 선경****호<NA><NA>한경리치웨이 구로공단지사2012-10-25 18:40:09I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
13160000200231601172420000220020829<NA>4취소/말소/만료/정지/중지7직권말소20121024<NA><NA>2002082902-2107-8686<NA><NA>서울특별시 구로구 구로동 일반번지 ***-** 벽산***호<NA><NA>(주)대영테크2012-10-25 18:39:40I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
23160000200231601172420000320021010<NA>4취소/말소/만료/정지/중지7직권말소20121024<NA><NA>2002101002-2681-9710<NA><NA>서울특별시 구로구 고척동 일반번지 ***-* 유통상가 가-바-***<NA><NA>현대라이스2012-10-25 18:39:06I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
33160000200231601172420000420021015<NA>4취소/말소/만료/정지/중지7직권말소20121024<NA><NA>2002101502-2631-2430<NA><NA>서울특별시 구로구 구로동 일반번지 ***-* 신구로상가 라-***<NA><NA>지엔비플러스2012-10-25 18:37:22I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
43160000200231601172420000620031120200603034취소/말소/만료/정지/중지4직권취소20060303<NA><NA>2002112002-2612-4768<NA><NA>서울특별시 구로구 궁동 일반번지 ***-**<NA><NA>한국장애인공예협의회2007-10-12 16:45:27I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
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