Overview

Dataset statistics

Number of variables29
Number of observations1482
Missing cells17266
Missing cells (%)40.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory354.7 KiB
Average record size in memory245.1 B

Variable types

Categorical6
Numeric6
DateTime7
Unsupported4
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),자산규모,부채총액,자본금,판매방식명
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18768/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1482 (100.0%) missing valuesMissing
폐업일자 has 834 (56.3%) missing valuesMissing
휴업시작일자 has 1468 (99.1%) missing valuesMissing
휴업종료일자 has 1468 (99.1%) missing valuesMissing
재개업일자 has 1478 (99.7%) missing valuesMissing
전화번호 has 298 (20.1%) missing valuesMissing
소재지면적 has 1482 (100.0%) missing valuesMissing
소재지우편번호 has 920 (62.1%) missing valuesMissing
지번주소 has 268 (18.1%) missing valuesMissing
도로명주소 has 314 (21.2%) missing valuesMissing
도로명우편번호 has 727 (49.1%) missing valuesMissing
업태구분명 has 1482 (100.0%) missing valuesMissing
좌표정보(X) has 298 (20.1%) missing valuesMissing
좌표정보(Y) has 298 (20.1%) missing valuesMissing
자산규모 has 989 (66.7%) missing valuesMissing
부채총액 has 989 (66.7%) missing valuesMissing
자본금 has 989 (66.7%) missing valuesMissing
판매방식명 has 1482 (100.0%) missing valuesMissing
좌표정보(X) is highly skewed (γ1 = 24.06339879)Skewed
좌표정보(Y) is highly skewed (γ1 = 20.77494583)Skewed
관리번호 has unique valuesUnique
인허가취소일자 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
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 96 (6.5%) zerosZeros
부채총액 has 286 (19.3%) zerosZeros
자본금 has 54 (3.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:51:19.754975
Analysis finished2024-05-11 05:51:21.029998
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
3160000
1482 

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 1482
100.0%

Length

2024-05-11T14:51:21.146972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:21.317243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 1482
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1482
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119118 × 1018
Minimum1.996316 × 1018
Maximum2.024316 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-11T14:51:21.502412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996316 × 1018
5-th percentile2.001316 × 1018
Q12.007316 × 1018
median2.011316 × 1018
Q32.017316 × 1018
95-th percentile2.022316 × 1018
Maximum2.024316 × 1018
Range2.8000004 × 1016
Interquartile range (IQR)1.0000004 × 1016

Descriptive statistics

Standard deviation6.3392141 × 1015
Coefficient of variation (CV)0.0031508409
Kurtosis-0.65285889
Mean2.0119118 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness-0.10166546
Sum-6.7192071 × 1018
Variance4.0185636 × 1031
MonotonicityStrictly increasing
2024-05-11T14:51:21.710182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996316011723200001 1
 
0.1%
2015316015923200039 1
 
0.1%
2015316015923200052 1
 
0.1%
2015316015923200050 1
 
0.1%
2015316015923200049 1
 
0.1%
2015316015923200045 1
 
0.1%
2015316015923200044 1
 
0.1%
2015316015923200043 1
 
0.1%
2015316015923200042 1
 
0.1%
2015316015923200041 1
 
0.1%
Other values (1472) 1472
99.3%
ValueCountFrequency (%)
1996316011723200001 1
0.1%
1996316011723200008 1
0.1%
1996316011723200012 1
0.1%
1996316011723200017 1
0.1%
1996316011723200019 1
0.1%
1996316011723200023 1
0.1%
1996316011723200025 1
0.1%
1996316011723200030 1
0.1%
1996316011723200031 1
0.1%
1996316011723200033 1
0.1%
ValueCountFrequency (%)
2024316015923200008 1
0.1%
2024316015923200007 1
0.1%
2024316015923200006 1
0.1%
2024316015923200005 1
0.1%
2024316015923200004 1
0.1%
2024316015923200003 1
0.1%
2024316015923200002 1
0.1%
2024316015923200001 1
0.1%
2023316015923200035 1
0.1%
2023316015923200034 1
0.1%

인허가일자
Date

Distinct1185
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
Minimum1996-08-30 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T14:51:21.946890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:22.185560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1482
Missing (%)100.0%
Memory size13.2 KiB

영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
3
633 
4
601 
1
222 
5
 
15
2
 
11

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 (%)
3 633
42.7%
4 601
40.6%
1 222
 
15.0%
5 15
 
1.0%
2 11
 
0.7%

Length

2024-05-11T14:51:22.381167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:22.541932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 633
42.7%
4 601
40.6%
1 222
 
15.0%
5 15
 
1.0%
2 11
 
0.7%

영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
폐업
633 
취소/말소/만료/정지/중지
601 
영업/정상
222 
제외/삭제/전출
 
15
휴업
 
11

Length

Max length14
Median length8
Mean length7.3765182
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 633
42.7%
취소/말소/만료/정지/중지 601
40.6%
영업/정상 222
 
15.0%
제외/삭제/전출 15
 
1.0%
휴업 11
 
0.7%

Length

2024-05-11T14:51:22.732190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:22.937988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 633
42.7%
취소/말소/만료/정지/중지 601
40.6%
영업/정상 222
 
15.0%
제외/삭제/전출 15
 
1.0%
휴업 11
 
0.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
3
633 
7
601 
1
222 
5
 
15
2
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 633
42.7%
7 601
40.6%
1 222
 
15.0%
5 15
 
1.0%
2 11
 
0.7%

Length

2024-05-11T14:51:23.144257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:23.347958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 633
42.7%
7 601
40.6%
1 222
 
15.0%
5 15
 
1.0%
2 11
 
0.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
폐업처리
633 
직권말소
601 
정상영업
222 
타시군구이관
 
15
휴업처리
 
11

Length

Max length6
Median length4
Mean length4.0202429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 633
42.7%
직권말소 601
40.6%
정상영업 222
 
15.0%
타시군구이관 15
 
1.0%
휴업처리 11
 
0.7%

Length

2024-05-11T14:51:23.546246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:23.744872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 633
42.7%
직권말소 601
40.6%
정상영업 222
 
15.0%
타시군구이관 15
 
1.0%
휴업처리 11
 
0.7%

폐업일자
Date

MISSING 

Distinct522
Distinct (%)80.6%
Missing834
Missing (%)56.3%
Memory size11.7 KiB
Minimum2005-04-01 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T14:51:23.950636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:24.168944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)71.4%
Missing1468
Missing (%)99.1%
Memory size11.7 KiB
Minimum2008-08-04 00:00:00
Maximum2023-06-25 00:00:00
2024-05-11T14:51:24.334928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:24.502711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct11
Distinct (%)78.6%
Missing1468
Missing (%)99.1%
Memory size11.7 KiB
Minimum2008-09-04 00:00:00
Maximum2024-06-26 00:00:00
2024-05-11T14:51:24.646086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:24.795969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing1478
Missing (%)99.7%
Memory size11.7 KiB
Minimum2007-03-21 00:00:00
Maximum2023-12-20 00:00:00
2024-05-11T14:51:24.934376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:25.114347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

전화번호
Text

MISSING 

Distinct1127
Distinct (%)95.2%
Missing298
Missing (%)20.1%
Memory size11.7 KiB
2024-05-11T14:51:25.515023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length11.053209
Min length1

Characters and Unicode

Total characters13087
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1085 ?
Unique (%)91.6%

Sample

1st row02 858 0444
2nd row02 857 4011
3rd row02 2681 3355
4th row02 859 3805
5th row02 858 3004
ValueCountFrequency (%)
02 345
 
17.8%
070 15
 
0.8%
830 15
 
0.8%
2611 13
 
0.7%
839 13
 
0.7%
837 11
 
0.6%
866 10
 
0.5%
859 10
 
0.5%
858 9
 
0.5%
02-6049-4051 9
 
0.5%
Other values (1265) 1486
76.8%
2024-05-11T14:51:26.245888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1899
14.5%
2 1713
13.1%
8 1293
9.9%
1210
9.2%
- 1196
9.1%
6 1106
8.5%
1 985
7.5%
5 932
7.1%
7 800
6.1%
3 789
6.0%
Other values (7) 1164
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10670
81.5%
Space Separator 1210
 
9.2%
Dash Punctuation 1196
 
9.1%
Math Symbol 7
 
0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1899
17.8%
2 1713
16.1%
8 1293
12.1%
6 1106
10.4%
1 985
9.2%
5 932
8.7%
7 800
7.5%
3 789
7.4%
4 626
 
5.9%
9 527
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
1210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1196
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13087
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1899
14.5%
2 1713
13.1%
8 1293
9.9%
1210
9.2%
- 1196
9.1%
6 1106
8.5%
1 985
7.5%
5 932
7.1%
7 800
6.1%
3 789
6.0%
Other values (7) 1164
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13087
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1899
14.5%
2 1713
13.1%
8 1293
9.9%
1210
9.2%
- 1196
9.1%
6 1106
8.5%
1 985
7.5%
5 932
7.1%
7 800
6.1%
3 789
6.0%
Other values (7) 1164
8.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1482
Missing (%)100.0%
Memory size13.2 KiB

소재지우편번호
Text

MISSING 

Distinct120
Distinct (%)21.4%
Missing920
Missing (%)62.1%
Memory size11.7 KiB
2024-05-11T14:51:26.648329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0142349
Min length6

Characters and Unicode

Total characters3380
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

Unique54 ?
Unique (%)9.6%

Sample

1st row152090
2nd row152868
3rd row150070
4th row152050
5th row152050
ValueCountFrequency (%)
152050 185
32.9%
152090 34
 
6.0%
152080 23
 
4.1%
152100 18
 
3.2%
152848 14
 
2.5%
152842 12
 
2.1%
152790 12
 
2.1%
152053 11
 
2.0%
152815 8
 
1.4%
152719 7
 
1.2%
Other values (110) 238
42.3%
2024-05-11T14:51:27.232247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 797
23.6%
0 676
20.0%
1 646
19.1%
2 596
17.6%
8 237
 
7.0%
7 138
 
4.1%
9 96
 
2.8%
4 84
 
2.5%
3 51
 
1.5%
6 51
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3372
99.8%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 797
23.6%
0 676
20.0%
1 646
19.2%
2 596
17.7%
8 237
 
7.0%
7 138
 
4.1%
9 96
 
2.8%
4 84
 
2.5%
3 51
 
1.5%
6 51
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3380
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 797
23.6%
0 676
20.0%
1 646
19.1%
2 596
17.6%
8 237
 
7.0%
7 138
 
4.1%
9 96
 
2.8%
4 84
 
2.5%
3 51
 
1.5%
6 51
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 797
23.6%
0 676
20.0%
1 646
19.1%
2 596
17.6%
8 237
 
7.0%
7 138
 
4.1%
9 96
 
2.8%
4 84
 
2.5%
3 51
 
1.5%
6 51
 
1.5%

지번주소
Text

MISSING 

Distinct852
Distinct (%)70.2%
Missing268
Missing (%)18.1%
Memory size11.7 KiB
2024-05-11T14:51:27.627456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length31.08402
Min length17

Characters and Unicode

Total characters37736
Distinct characters330
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

Unique695 ?
Unique (%)57.2%

Sample

1st row서울특별시 구로구 구로동 **-** 현수빌딩 *층
2nd row서울특별시 구로구 구로동 ***-* (*층)
3rd row서울특별시 구로구 개봉동 ***-*
4th row서울특별시 구로구 구로동 **-* 호
5th row서울특별시 구로구 가리봉동 **-** 오봉빌딩 ***
ValueCountFrequency (%)
서울특별시 1206
16.6%
구로구 1188
16.4%
호 1078
14.9%
구로동 753
10.4%
번지 742
10.2%
542
7.5%
층 165
 
2.3%
개봉동 100
 
1.4%
구로*동 75
 
1.0%
고척동 71
 
1.0%
Other values (552) 1338
18.4%
2024-05-11T14:51:28.231967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7986
21.2%
6675
17.7%
구 3264
 
8.6%
로 2049
 
5.4%
동 1294
 
3.4%
서 1225
 
3.2%
시 1223
 
3.2%
울 1208
 
3.2%
별 1206
 
3.2%
특 1206
 
3.2%
Other values (320) 10400
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22303
59.1%
Other Punctuation 8026
 
21.3%
Space Separator 6675
 
17.7%
Dash Punctuation 503
 
1.3%
Uppercase Letter 99
 
0.3%
Lowercase Letter 31
 
0.1%
Close Punctuation 26
 
0.1%
Open Punctuation 26
 
0.1%
Decimal Number 25
 
0.1%
Letter Number 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3264
14.6%
로 2049
 
9.2%
동 1294
 
5.8%
서 1225
 
5.5%
시 1223
 
5.5%
울 1208
 
5.4%
별 1206
 
5.4%
특 1206
 
5.4%
호 1167
 
5.2%
지 901
 
4.0%
Other values (268) 7560
33.9%
Uppercase Letter
ValueCountFrequency (%)
T 22
22.2%
B 20
20.2%
I 16
16.2%
K 9
9.1%
D 6
 
6.1%
H 5
 
5.1%
E 4
 
4.0%
W 3
 
3.0%
S 3
 
3.0%
J 2
 
2.0%
Other values (5) 9
9.1%
Lowercase Letter
ValueCountFrequency (%)
a 5
16.1%
e 4
12.9%
b 3
9.7%
t 3
9.7%
i 3
9.7%
o 3
9.7%
c 2
 
6.5%
r 2
 
6.5%
w 1
 
3.2%
n 1
 
3.2%
Other values (4) 4
12.9%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
8 5
20.0%
2 3
12.0%
3 3
12.0%
0 2
 
8.0%
7 2
 
8.0%
4 1
 
4.0%
5 1
 
4.0%
9 1
 
4.0%
6 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 7986
99.5%
, 27
 
0.3%
/ 6
 
0.1%
. 5
 
0.1%
& 1
 
< 0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
66.7%
Ⅲ 6
33.3%
Space Separator
ValueCountFrequency (%)
6675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 503
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22303
59.1%
Common 15285
40.5%
Latin 148
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3264
14.6%
로 2049
 
9.2%
동 1294
 
5.8%
서 1225
 
5.5%
시 1223
 
5.5%
울 1208
 
5.4%
별 1206
 
5.4%
특 1206
 
5.4%
호 1167
 
5.2%
지 901
 
4.0%
Other values (268) 7560
33.9%
Latin
ValueCountFrequency (%)
T 22
14.9%
B 20
13.5%
I 16
 
10.8%
Ⅱ 12
 
8.1%
K 9
 
6.1%
Ⅲ 6
 
4.1%
D 6
 
4.1%
a 5
 
3.4%
H 5
 
3.4%
E 4
 
2.7%
Other values (21) 43
29.1%
Common
ValueCountFrequency (%)
* 7986
52.2%
6675
43.7%
- 503
 
3.3%
, 27
 
0.2%
) 26
 
0.2%
( 26
 
0.2%
/ 6
 
< 0.1%
1 6
 
< 0.1%
. 5
 
< 0.1%
8 5
 
< 0.1%
Other values (11) 20
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22303
59.1%
ASCII 15415
40.8%
Number Forms 18
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7986
51.8%
6675
43.3%
- 503
 
3.3%
, 27
 
0.2%
) 26
 
0.2%
( 26
 
0.2%
T 22
 
0.1%
B 20
 
0.1%
I 16
 
0.1%
K 9
 
0.1%
Other values (40) 105
 
0.7%
Hangul
ValueCountFrequency (%)
구 3264
14.6%
로 2049
 
9.2%
동 1294
 
5.8%
서 1225
 
5.5%
시 1223
 
5.5%
울 1208
 
5.4%
별 1206
 
5.4%
특 1206
 
5.4%
호 1167
 
5.2%
지 901
 
4.0%
Other values (268) 7560
33.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
66.7%
Ⅲ 6
33.3%

도로명주소
Text

MISSING 

Distinct882
Distinct (%)75.5%
Missing314
Missing (%)21.2%
Memory size11.7 KiB
2024-05-11T14:51:28.597506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length38.630137
Min length19

Characters and Unicode

Total characters45120
Distinct characters316
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

Unique726 ?
Unique (%)62.2%

Sample

1st row서울특별시 구로구 개봉로**가길 **-*, *층 (개봉동)
2nd row서울특별시 구로구 개봉로**길 **, 성암빌딩 (개봉동)
3rd row서울특별시 구로구 개봉로**길 *-**, *층 (개봉동)
4th row서울특별시 구로구 구일로 ***, ***~***호 (구로동, 해원리버파크)
5th row서울특별시 구로구 경인로 ***, 유림빌딩 *층 (구로동)
ValueCountFrequency (%)
1227
15.8%
서울특별시 1161
14.9%
구로구 1149
14.8%
호 779
 
10.0%
구로동 598
 
7.7%
디지털로**길 381
 
4.9%
층 239
 
3.1%
디지털로 133
 
1.7%
경인로 68
 
0.9%
개봉동 66
 
0.8%
Other values (641) 1984
25.5%
2024-05-11T14:51:29.217281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 8261
18.3%
6619
14.7%
구 3317
 
7.4%
로 3310
 
7.3%
, 1556
 
3.4%
동 1334
 
3.0%
서 1181
 
2.6%
시 1178
 
2.6%
( 1175
 
2.6%
) 1175
 
2.6%
Other values (306) 16014
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25922
57.5%
Other Punctuation 9825
 
21.8%
Space Separator 6619
 
14.7%
Open Punctuation 1175
 
2.6%
Close Punctuation 1175
 
2.6%
Dash Punctuation 220
 
0.5%
Uppercase Letter 97
 
0.2%
Decimal Number 45
 
0.1%
Letter Number 22
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3317
 
12.8%
로 3310
 
12.8%
동 1334
 
5.1%
서 1181
 
4.6%
시 1178
 
4.5%
울 1163
 
4.5%
별 1161
 
4.5%
특 1161
 
4.5%
호 865
 
3.3%
지 732
 
2.8%
Other values (260) 10520
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 22
22.7%
T 21
21.6%
I 16
16.5%
A 7
 
7.2%
K 5
 
5.2%
H 4
 
4.1%
W 4
 
4.1%
E 3
 
3.1%
R 3
 
3.1%
D 3
 
3.1%
Other values (6) 9
9.3%
Decimal Number
ValueCountFrequency (%)
1 11
24.4%
3 9
20.0%
4 5
11.1%
0 5
11.1%
5 5
11.1%
2 5
11.1%
9 3
 
6.7%
8 1
 
2.2%
7 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
b 3
23.1%
a 3
23.1%
e 2
15.4%
z 1
 
7.7%
i 1
 
7.7%
o 1
 
7.7%
r 1
 
7.7%
w 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 8261
84.1%
, 1556
 
15.8%
/ 4
 
< 0.1%
. 2
 
< 0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
54.5%
Ⅲ 10
45.5%
Space Separator
ValueCountFrequency (%)
6619
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25922
57.5%
Common 19066
42.3%
Latin 132
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3317
 
12.8%
로 3310
 
12.8%
동 1334
 
5.1%
서 1181
 
4.6%
시 1178
 
4.5%
울 1163
 
4.5%
별 1161
 
4.5%
특 1161
 
4.5%
호 865
 
3.3%
지 732
 
2.8%
Other values (260) 10520
40.6%
Latin
ValueCountFrequency (%)
B 22
16.7%
T 21
15.9%
I 16
12.1%
Ⅱ 12
9.1%
Ⅲ 10
 
7.6%
A 7
 
5.3%
K 5
 
3.8%
H 4
 
3.0%
W 4
 
3.0%
E 3
 
2.3%
Other values (16) 28
21.2%
Common
ValueCountFrequency (%)
* 8261
43.3%
6619
34.7%
, 1556
 
8.2%
( 1175
 
6.2%
) 1175
 
6.2%
- 220
 
1.2%
1 11
 
0.1%
3 9
 
< 0.1%
~ 7
 
< 0.1%
4 5
 
< 0.1%
Other values (10) 28
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25922
57.5%
ASCII 19176
42.5%
Number Forms 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 8261
43.1%
6619
34.5%
, 1556
 
8.1%
( 1175
 
6.1%
) 1175
 
6.1%
- 220
 
1.1%
B 22
 
0.1%
T 21
 
0.1%
I 16
 
0.1%
1 11
 
0.1%
Other values (34) 100
 
0.5%
Hangul
ValueCountFrequency (%)
구 3317
 
12.8%
로 3310
 
12.8%
동 1334
 
5.1%
서 1181
 
4.6%
시 1178
 
4.5%
울 1163
 
4.5%
별 1161
 
4.5%
특 1161
 
4.5%
호 865
 
3.3%
지 732
 
2.8%
Other values (260) 10520
40.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
54.5%
Ⅲ 10
45.5%

도로명우편번호
Text

MISSING 

Distinct206
Distinct (%)27.3%
Missing727
Missing (%)49.1%
Memory size11.7 KiB
2024-05-11T14:51:29.558164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3390728
Min length5

Characters and Unicode

Total characters4031
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 (%)11.4%

Sample

1st row152810
2nd row08329
3rd row08333
4th row152868
5th row08278
ValueCountFrequency (%)
08390 57
 
7.5%
08378 51
 
6.8%
08381 40
 
5.3%
08377 28
 
3.7%
08389 23
 
3.0%
08375 19
 
2.5%
08380 18
 
2.4%
08376 17
 
2.3%
152842 15
 
2.0%
08298 14
 
1.9%
Other values (196) 473
62.6%
2024-05-11T14:51:30.126085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 883
21.9%
0 689
17.1%
2 484
12.0%
3 451
11.2%
1 378
9.4%
5 345
 
8.6%
7 343
 
8.5%
9 224
 
5.6%
4 126
 
3.1%
6 99
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4022
99.8%
Dash Punctuation 9
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 883
22.0%
0 689
17.1%
2 484
12.0%
3 451
11.2%
1 378
9.4%
5 345
 
8.6%
7 343
 
8.5%
9 224
 
5.6%
4 126
 
3.1%
6 99
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 883
21.9%
0 689
17.1%
2 484
12.0%
3 451
11.2%
1 378
9.4%
5 345
 
8.6%
7 343
 
8.5%
9 224
 
5.6%
4 126
 
3.1%
6 99
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 883
21.9%
0 689
17.1%
2 484
12.0%
3 451
11.2%
1 378
9.4%
5 345
 
8.6%
7 343
 
8.5%
9 224
 
5.6%
4 126
 
3.1%
6 99
 
2.5%

사업장명
Text

Distinct1442
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-05-11T14:51:30.535204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length7.8319838
Min length1

Characters and Unicode

Total characters11607
Distinct characters617
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1405 ?
Unique (%)94.8%

Sample

1st row월성상사
2nd row신성종합상사
3rd row서울서적공사
4th row도서출판한국
5th row유니베라
ValueCountFrequency (%)
주식회사 289
 
13.7%
주 57
 
2.7%
인셀덤 27
 
1.3%
코리아 10
 
0.5%
한국야쿠르트 7
 
0.3%
대리점 5
 
0.2%
구로점 5
 
0.2%
유니베라 5
 
0.2%
도서출판 4
 
0.2%
구로지사 4
 
0.2%
Other values (1600) 1693
80.4%
2024-05-11T14:51:31.072256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 640
 
5.5%
627
 
5.4%
사 419
 
3.6%
) 381
 
3.3%
( 381
 
3.3%
이 355
 
3.1%
스 335
 
2.9%
회 314
 
2.7%
식 303
 
2.6%
리 184
 
1.6%
Other values (607) 7668
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9632
83.0%
Space Separator 627
 
5.4%
Close Punctuation 381
 
3.3%
Open Punctuation 381
 
3.3%
Uppercase Letter 261
 
2.2%
Lowercase Letter 216
 
1.9%
Other Punctuation 47
 
0.4%
Decimal Number 37
 
0.3%
Other Symbol 19
 
0.2%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 640
 
6.6%
사 419
 
4.4%
이 355
 
3.7%
스 335
 
3.5%
회 314
 
3.3%
식 303
 
3.1%
리 184
 
1.9%
아 156
 
1.6%
로 151
 
1.6%
에 139
 
1.4%
Other values (538) 6636
68.9%
Uppercase Letter
ValueCountFrequency (%)
S 25
 
9.6%
E 21
 
8.0%
L 20
 
7.7%
C 17
 
6.5%
M 15
 
5.7%
I 14
 
5.4%
A 14
 
5.4%
N 14
 
5.4%
D 13
 
5.0%
T 13
 
5.0%
Other values (16) 95
36.4%
Lowercase Letter
ValueCountFrequency (%)
e 29
13.4%
n 28
13.0%
o 27
12.5%
a 15
 
6.9%
t 14
 
6.5%
i 14
 
6.5%
c 14
 
6.5%
l 12
 
5.6%
r 11
 
5.1%
m 9
 
4.2%
Other values (14) 43
19.9%
Decimal Number
ValueCountFrequency (%)
2 9
24.3%
1 8
21.6%
0 5
13.5%
3 4
10.8%
8 3
 
8.1%
6 3
 
8.1%
4 2
 
5.4%
5 2
 
5.4%
9 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 30
63.8%
& 10
 
21.3%
, 4
 
8.5%
? 2
 
4.3%
？ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
627
100.0%
Close Punctuation
ValueCountFrequency (%)
) 381
100.0%
Open Punctuation
ValueCountFrequency (%)
( 381
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9635
83.0%
Common 1479
 
12.7%
Latin 477
 
4.1%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 640
 
6.6%
사 419
 
4.3%
이 355
 
3.7%
스 335
 
3.5%
회 314
 
3.3%
식 303
 
3.1%
리 184
 
1.9%
아 156
 
1.6%
로 151
 
1.6%
에 139
 
1.4%
Other values (525) 6639
68.9%
Latin
ValueCountFrequency (%)
e 29
 
6.1%
n 28
 
5.9%
o 27
 
5.7%
S 25
 
5.2%
E 21
 
4.4%
L 20
 
4.2%
C 17
 
3.6%
M 15
 
3.1%
a 15
 
3.1%
t 14
 
2.9%
Other values (40) 266
55.8%
Common
ValueCountFrequency (%)
627
42.4%
) 381
25.8%
( 381
25.8%
. 30
 
2.0%
& 10
 
0.7%
2 9
 
0.6%
1 8
 
0.5%
- 6
 
0.4%
0 5
 
0.3%
3 4
 
0.3%
Other values (8) 18
 
1.2%
Han
ValueCountFrequency (%)
多 2
12.5%
社 2
12.5%
株 1
 
6.2%
式 1
 
6.2%
會 1
 
6.2%
華 1
 
6.2%
媒 1
 
6.2%
聯 1
 
6.2%
盟 1
 
6.2%
健 1
 
6.2%
Other values (4) 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9616
82.8%
ASCII 1955
 
16.8%
None 20
 
0.2%
CJK 15
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 640
 
6.7%
사 419
 
4.4%
이 355
 
3.7%
스 335
 
3.5%
회 314
 
3.3%
식 303
 
3.2%
리 184
 
1.9%
아 156
 
1.6%
로 151
 
1.6%
에 139
 
1.4%
Other values (524) 6620
68.8%
ASCII
ValueCountFrequency (%)
627
32.1%
) 381
19.5%
( 381
19.5%
. 30
 
1.5%
e 29
 
1.5%
n 28
 
1.4%
o 27
 
1.4%
S 25
 
1.3%
E 21
 
1.1%
L 20
 
1.0%
Other values (57) 386
19.7%
None
ValueCountFrequency (%)
㈜ 19
95.0%
？ 1
 
5.0%
CJK
ValueCountFrequency (%)
多 2
13.3%
社 2
13.3%
株 1
 
6.7%
式 1
 
6.7%
會 1
 
6.7%
華 1
 
6.7%
媒 1
 
6.7%
盟 1
 
6.7%
健 1
 
6.7%
質 1
 
6.7%
Other values (3) 3
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
聯 1
100.0%

최종수정일자
Date

Distinct1478
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
Minimum2007-08-23 09:38:01
Maximum2024-05-09 13:17:48
2024-05-11T14:51:31.277061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:31.473076image/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 size11.7 KiB
I
1096 
U
386 

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 1096
74.0%
U 386
 
26.0%

Length

2024-05-11T14:51:31.634877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:31.762300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1096
74.0%
u 386
 
26.0%

데이터갱신일자
Date

Distinct276
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:51:31.919981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:32.443836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1482
Missing (%)100.0%
Memory size13.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING  SKEWED 

Distinct475
Distinct (%)40.1%
Missing298
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean189783.29
Minimum166973.38
Maximum340175.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-11T14:51:32.640073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166973.38
5-th percentile185925.96
Q1189207.45
median190410.05
Q3190671.44
95-th percentile191020.26
Maximum340175.91
Range173202.53
Interquartile range (IQR)1463.9858

Descriptive statistics

Standard deviation4932.7666
Coefficient of variation (CV)0.025991574
Kurtosis732.44843
Mean189783.29
Median Absolute Deviation (MAD)366.42081
Skewness24.063399
Sum2.2470342 × 108
Variance24332186
MonotonicityNot monotonic
2024-05-11T14:51:32.854755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190680.536850936 44
 
3.0%
191020.264430044 36
 
2.4%
190776.468544178 34
 
2.3%
190666.864354145 22
 
1.5%
190410.047738361 21
 
1.4%
190741.158117503 19
 
1.3%
190447.24866829 18
 
1.2%
190612.779366379 17
 
1.1%
190504.7782409 17
 
1.1%
190565.126077805 17
 
1.1%
Other values (465) 939
63.4%
(Missing) 298
 
20.1%
ValueCountFrequency (%)
166973.378968063 1
0.1%
176476.084624719 1
0.1%
183717.389594075 1
0.1%
183839.892551859 1
0.1%
184006.105314872 1
0.1%
184103.718488054 1
0.1%
184323.391703413 1
0.1%
184354.147758017 2
0.1%
184396.439553716 1
0.1%
184457.791730837 1
0.1%
ValueCountFrequency (%)
340175.91366589 1
0.1%
210932.067547437 1
0.1%
209753.306590235 1
0.1%
206517.008095381 1
0.1%
205260.827743854 1
0.1%
203897.748231266 1
0.1%
202983.703522684 1
0.1%
201535.596219318 1
0.1%
196761.151948121 2
0.1%
196568.686393765 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct475
Distinct (%)40.1%
Missing298
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean443290.29
Minimum424231.6
Maximum521809.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-11T14:51:33.106828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum424231.6
5-th percentile442203.39
Q1442460.92
median442751.42
Q3443935.7
95-th percentile444836.67
Maximum521809.34
Range97577.738
Interquartile range (IQR)1474.7824

Descriptive statistics

Standard deviation2726.201
Coefficient of variation (CV)0.0061499226
Kurtosis590.78609
Mean443290.29
Median Absolute Deviation (MAD)489.76504
Skewness20.774946
Sum5.2485571 × 108
Variance7432171.7
MonotonicityNot monotonic
2024-05-11T14:51:33.281214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442392.645303533 44
 
3.0%
442460.919021593 36
 
2.4%
442370.143700207 34
 
2.3%
442750.016695612 22
 
1.5%
443953.502895004 21
 
1.4%
442703.311770946 19
 
1.3%
442558.310755613 18
 
1.2%
442662.421914354 17
 
1.1%
442154.992807483 17
 
1.1%
442423.390398015 17
 
1.1%
Other values (465) 939
63.4%
(Missing) 298
 
20.1%
ValueCountFrequency (%)
424231.6000988 1
 
0.1%
433544.619659734 2
0.1%
441671.411928637 1
 
0.1%
441701.854538074 1
 
0.1%
441862.85496884 3
0.2%
441880.745508083 1
 
0.1%
441904.183184079 1
 
0.1%
441936.460152975 1
 
0.1%
441980.107377152 1
 
0.1%
442004.008296548 1
 
0.1%
ValueCountFrequency (%)
521809.337791115 1
0.1%
467593.871608779 1
0.1%
457264.89103037 1
0.1%
456962.153918148 1
0.1%
455355.645454924 1
0.1%
448399.948660115 1
0.1%
446714.49308267 1
0.1%
445485.790063455 1
0.1%
445414.130772261 1
0.1%
445273.42270345 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct235
Distinct (%)47.7%
Missing989
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean7.3939238 × 108
Minimum0
Maximum7.9937527 × 1010
Zeros96
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-11T14:51:33.479403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18870771
median50000000
Q33 × 108
95-th percentile2.1429542 × 109
Maximum7.9937527 × 1010
Range7.9937527 × 1010
Interquartile range (IQR)2.9112923 × 108

Descriptive statistics

Standard deviation4.6110805 × 109
Coefficient of variation (CV)6.2363105
Kurtosis198.17455
Mean7.3939238 × 108
Median Absolute Deviation (MAD)50000000
Skewness13.110076
Sum3.6452044 × 1011
Variance2.1262063 × 1019
MonotonicityNot monotonic
2024-05-11T14:51:33.697523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96
 
6.5%
50000000 61
 
4.1%
100000000 22
 
1.5%
10000000 19
 
1.3%
300000000 15
 
1.0%
20000000 11
 
0.7%
30000000 11
 
0.7%
1000000 8
 
0.5%
500000000 7
 
0.5%
1000000000 4
 
0.3%
Other values (225) 239
 
16.1%
(Missing) 989
66.7%
ValueCountFrequency (%)
0 96
6.5%
1 3
 
0.2%
800000 1
 
0.1%
1000000 8
 
0.5%
2255530 1
 
0.1%
2300000 1
 
0.1%
3000000 2
 
0.1%
3040600 1
 
0.1%
4000000 1
 
0.1%
4550000 1
 
0.1%
ValueCountFrequency (%)
79937527266 1
0.1%
41982040220 1
0.1%
35789413973 1
0.1%
26410367865 1
0.1%
12607592406 1
0.1%
8005694432 1
0.1%
7899819938 1
0.1%
6200533779 1
0.1%
5600000000 1
0.1%
5569150372 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct198
Distinct (%)40.2%
Missing989
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean3.8823188 × 108
Minimum0
Maximum4.2901041 × 1010
Zeros286
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-11T14:51:33.899017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q389914242
95-th percentile1.1832132 × 109
Maximum4.2901041 × 1010
Range4.2901041 × 1010
Interquartile range (IQR)89914242

Descriptive statistics

Standard deviation2.4772107 × 109
Coefficient of variation (CV)6.3807503
Kurtosis206.91557
Mean3.8823188 × 108
Median Absolute Deviation (MAD)0
Skewness13.545
Sum1.9139832 × 1011
Variance6.1365728 × 1018
MonotonicityNot monotonic
2024-05-11T14:51:34.062522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 286
 
19.3%
1 3
 
0.2%
10000000 3
 
0.2%
150000000 3
 
0.2%
900000000 2
 
0.1%
2000000 2
 
0.1%
495000 2
 
0.1%
50000000 2
 
0.1%
31384347 1
 
0.1%
1129100544 1
 
0.1%
Other values (188) 188
 
12.7%
(Missing) 989
66.7%
ValueCountFrequency (%)
0 286
19.3%
1 3
 
0.2%
137270 1
 
0.1%
495000 2
 
0.1%
562728 1
 
0.1%
624850 1
 
0.1%
707295 1
 
0.1%
1434000 1
 
0.1%
2000000 2
 
0.1%
2094300 1
 
0.1%
ValueCountFrequency (%)
42901040586 1
0.1%
26876045762 1
0.1%
17183415565 1
0.1%
7411407369 1
0.1%
5407164261 1
0.1%
5269255610 1
0.1%
4119953522 1
0.1%
3646341682 1
0.1%
3106967311 1
0.1%
2938893806 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct113
Distinct (%)22.9%
Missing989
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean2.7897384 × 108
Minimum-5.9670417 × 108
Maximum1.8998961 × 1010
Zeros54
Zeros (%)3.6%
Negative10
Negative (%)0.7%
Memory size13.2 KiB
2024-05-11T14:51:34.274892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.9670417 × 108
5-th percentile0
Q110000000
median50000000
Q31 × 108
95-th percentile6.0630104 × 108
Maximum1.8998961 × 1010
Range1.9595665 × 1010
Interquartile range (IQR)90000000

Descriptive statistics

Standard deviation1.4795057 × 109
Coefficient of variation (CV)5.303385
Kurtosis120.43396
Mean2.7897384 × 108
Median Absolute Deviation (MAD)49000000
Skewness10.491068
Sum1.375341 × 1011
Variance2.188937 × 1018
MonotonicityNot monotonic
2024-05-11T14:51:34.514462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 113
 
7.6%
0 54
 
3.6%
100000000 52
 
3.5%
10000000 40
 
2.7%
300000000 28
 
1.9%
20000000 19
 
1.3%
30000000 16
 
1.1%
1000000 15
 
1.0%
150000000 12
 
0.8%
200000000 9
 
0.6%
Other values (103) 135
 
9.1%
(Missing) 989
66.7%
ValueCountFrequency (%)
-596704173 1
0.1%
-255083552 1
0.1%
-207757503 1
0.1%
-157552525 1
0.1%
-135699320 1
0.1%
-129511576 1
0.1%
-54650951 1
0.1%
-44804486 1
0.1%
-44052941 1
0.1%
-32833469 1
0.1%
ValueCountFrequency (%)
18998960596 1
0.1%
18605998408 1
0.1%
15105994458 1
0.1%
6558709000 1
0.1%
5600000000 1
0.1%
5576800000 1
0.1%
4021988000 1
0.1%
3300000000 1
0.1%
3100000000 1
0.1%
2609564328 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1482
Missing (%)100.0%
Memory size13.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03160000199631601172320000119960830<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 858 0444<NA><NA>서울특별시 구로구 구로동 **-** 현수빌딩 *층<NA><NA>월성상사2013-06-10 11:53:48I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13160000199631601172320000819961030<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 857 4011<NA><NA>서울특별시 구로구 구로동 ***-* (*층)<NA><NA>신성종합상사2013-01-14 18:44:52I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23160000199631601172320001219961102<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 2681 3355<NA><NA>서울특별시 구로구 개봉동 ***-*<NA><NA>서울서적공사2013-01-14 18:41:37I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33160000199631601172320001719961105<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 859 3805<NA><NA>서울특별시 구로구 구로동 **-* 호<NA><NA>도서출판한국2014-12-29 16:59:44I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43160000199631601172320001919961105<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 858 3004<NA><NA>서울특별시 구로구 가리봉동 **-** 오봉빌딩 ***<NA><NA>유니베라2017-12-29 11:30:11I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53160000199631601172320002319961107<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 2625 6781<NA><NA>서울특별시 구로구 오류동 ***-* *파출소 성민빌딩지하<NA><NA>원일종합상사2013-01-14 18:40:39I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63160000199631601172320002519961108<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 839 4878<NA><NA>서울특별시 구로구 구로동 **-* 중아B/D ***호<NA><NA>덕진상사2013-06-10 11:55:12I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73160000199631601172320003019961108<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 852 7544<NA><NA>서울특별시 구로구 구로동 ***-***<NA><NA>진성유통2013-06-10 11:56:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83160000199631601172320003119961108<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 830 8131<NA><NA>서울특별시 구로구 구로동 **-* 영진빌딩 ***호<NA><NA>국제종합상사2013-01-14 18:44:12I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93160000199631601172320003319961109<NA>3폐업3폐업처리20071226<NA><NA><NA>02 2688 2573<NA><NA>서울특별시 구로구 개봉동 ***-***<NA><NA>유니베라 구로대리점2007-12-27 17:15:42I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
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1473316000020233160159232000352021-08-03<NA>3폐업3폐업처리2023-12-29<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 에이스테크노타워Ⅱ서울특별시 구로구 디지털로**길 **, 에이스테크노타워Ⅱ *층 ***호 (구로동)08381주식회사 우주쓰리2023-12-29 13:41:17U2022-11-01 21:01:00.0<NA>190527.763561442532.319933<NA><NA><NA><NA>
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