Overview

Dataset statistics

Number of variables29
Number of observations690
Missing cells7454
Missing cells (%)37.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory168.6 KiB
Average record size in memory250.2 B

Variable types

Categorical8
Numeric8
DateTime4
Unsupported5
Text4

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-18752/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.3%)Imbalance
휴업종료일자 is highly imbalanced (97.3%)Imbalance
인허가취소일자 has 690 (100.0%) missing valuesMissing
폐업일자 has 490 (71.0%) missing valuesMissing
재개업일자 has 690 (100.0%) missing valuesMissing
전화번호 has 61 (8.8%) missing valuesMissing
소재지면적 has 690 (100.0%) missing valuesMissing
소재지우편번호 has 480 (69.6%) missing valuesMissing
지번주소 has 16 (2.3%) missing valuesMissing
도로명주소 has 366 (53.0%) missing valuesMissing
도로명우편번호 has 475 (68.8%) missing valuesMissing
업태구분명 has 690 (100.0%) missing valuesMissing
좌표정보(X) has 363 (52.6%) missing valuesMissing
좌표정보(Y) has 363 (52.6%) missing valuesMissing
자산규모 has 463 (67.1%) missing valuesMissing
부채총액 has 464 (67.2%) missing valuesMissing
자본금 has 463 (67.1%) missing valuesMissing
판매방식명 has 690 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 89 (12.9%) zerosZeros
부채총액 has 117 (17.0%) zerosZeros
자본금 has 85 (12.3%) zerosZeros

Reproduction

Analysis started2024-05-11 00:40:22.302909
Analysis finished2024-05-11 00:40:24.201434
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
3000000
690 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 690
100.0%

Length

2024-05-11T00:40:24.406081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:24.677750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 690
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0073536 × 1018
Minimum1.9963 × 1018
Maximum2.0243 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:24.996907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9963 × 1018
5-th percentile1.9983 × 1018
Q12.0023 × 1018
median2.0063 × 1018
Q32.0113 × 1018
95-th percentile2.0203 × 1018
Maximum2.0243 × 1018
Range2.8000014 × 1016
Interquartile range (IQR)9.0000028 × 1015

Descriptive statistics

Standard deviation6.7695902 × 1015
Coefficient of variation (CV)0.0033723954
Kurtosis-0.49430444
Mean2.0073536 × 1018
Median Absolute Deviation (MAD)4.0000028 × 1015
Skewness0.61065721
Sum1.5682031 × 1018
Variance4.5827351 × 1031
MonotonicityStrictly increasing
2024-05-11T00:40:25.610667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996300010123200016 1
 
0.1%
2010300012923200001 1
 
0.1%
2009300012923200031 1
 
0.1%
2009300012923200032 1
 
0.1%
2009300012923200033 1
 
0.1%
2009300012923200034 1
 
0.1%
2009300012923200035 1
 
0.1%
2009300012923200036 1
 
0.1%
2009300012923200038 1
 
0.1%
2009300012923200039 1
 
0.1%
Other values (680) 680
98.6%
ValueCountFrequency (%)
1996300010123200016 1
0.1%
1996300010123200017 1
0.1%
1996300010123200024 1
0.1%
1996300010123200028 1
0.1%
1996300010123200032 1
0.1%
1996300010123200036 1
0.1%
1996300010123200039 1
0.1%
1996300010123200040 1
0.1%
1996300010123200061 1
0.1%
1996300010123200064 1
0.1%
ValueCountFrequency (%)
2024300024523200004 1
0.1%
2024300024523200002 1
0.1%
2024300024523200001 1
0.1%
2023300020223200006 1
0.1%
2023300020223200005 1
0.1%
2023300020223200004 1
0.1%
2023300020223200003 1
0.1%
2023300020223200002 1
0.1%
2023300020223200001 1
0.1%
2022300020223200013 1
0.1%

인허가일자
Date

Distinct622
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum1996-08-28 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T00:40:26.018751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:40:26.394602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing690
Missing (%)100.0%
Memory size6.2 KiB

영업상태코드
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
4
415 
3
195 
1
74 
5
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
4 415
60.1%
3 195
28.3%
1 74
 
10.7%
5 5
 
0.7%
2 1
 
0.1%

Length

2024-05-11T00:40:26.680598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:26.951639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 415
60.1%
3 195
28.3%
1 74
 
10.7%
5 5
 
0.7%
2 1
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
취소/말소/만료/정지/중지
415 
폐업
195 
영업/정상
74 
제외/삭제/전출
 
5
휴업
 
1

Length

Max length14
Median length14
Mean length9.5826087
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row폐업
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 (%)
취소/말소/만료/정지/중지 415
60.1%
폐업 195
28.3%
영업/정상 74
 
10.7%
제외/삭제/전출 5
 
0.7%
휴업 1
 
0.1%

Length

2024-05-11T00:40:27.343006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:27.682444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 415
60.1%
폐업 195
28.3%
영업/정상 74
 
10.7%
제외/삭제/전출 5
 
0.7%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
7
415 
3
195 
1
74 
5
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
7 415
60.1%
3 195
28.3%
1 74
 
10.7%
5 5
 
0.7%
2 1
 
0.1%

Length

2024-05-11T00:40:28.060876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:28.400642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 415
60.1%
3 195
28.3%
1 74
 
10.7%
5 5
 
0.7%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
직권말소
415 
폐업처리
195 
정상영업
74 
타시군구이관
 
5
휴업처리
 
1

Length

Max length6
Median length4
Mean length4.0144928
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
직권말소 415
60.1%
폐업처리 195
28.3%
정상영업 74
 
10.7%
타시군구이관 5
 
0.7%
휴업처리 1
 
0.1%

Length

2024-05-11T00:40:28.801080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:29.177062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직권말소 415
60.1%
폐업처리 195
28.3%
정상영업 74
 
10.7%
타시군구이관 5
 
0.7%
휴업처리 1
 
0.1%

폐업일자
Date

MISSING 

Distinct182
Distinct (%)91.0%
Missing490
Missing (%)71.0%
Memory size5.5 KiB
Minimum2007-04-17 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T00:40:29.570707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:40:30.405340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
686 
20090708
 
1
20100608
 
1
20120821
 
1
20150128
 
1

Length

Max length8
Median length4
Mean length4.0231884
Min length4

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 686
99.4%
20090708 1
 
0.1%
20100608 1
 
0.1%
20120821 1
 
0.1%
20150128 1
 
0.1%

Length

2024-05-11T00:40:30.969135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:31.670044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 686
99.4%
20090708 1
 
0.1%
20100608 1
 
0.1%
20120821 1
 
0.1%
20150128 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
686 
20111231
 
1
20100608
 
1
20320821
 
1
20150728
 
1

Length

Max length8
Median length4
Mean length4.0231884
Min length4

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 686
99.4%
20111231 1
 
0.1%
20100608 1
 
0.1%
20320821 1
 
0.1%
20150728 1
 
0.1%

Length

2024-05-11T00:40:32.280695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:32.970168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 686
99.4%
20111231 1
 
0.1%
20100608 1
 
0.1%
20320821 1
 
0.1%
20150728 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing690
Missing (%)100.0%
Memory size6.2 KiB

전화번호
Text

MISSING 

Distinct584
Distinct (%)92.8%
Missing61
Missing (%)8.8%
Memory size5.5 KiB
2024-05-11T00:40:33.697355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length11.262321
Min length1

Characters and Unicode

Total characters7084
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

Unique562 ?
Unique (%)89.3%

Sample

1st row02 724 3205
2nd row02 741 0977
3rd row02 235 6086
4th row02 2115 8835
5th row02 3411 1837
ValueCountFrequency (%)
02 353
26.5%
22
 
1.7%
722 14
 
1.1%
733 13
 
1.0%
720 11
 
0.8%
766 11
 
0.8%
741 10
 
0.8%
708 10
 
0.8%
765 10
 
0.8%
723 10
 
0.8%
Other values (700) 869
65.2%
2024-05-11T00:40:35.133233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1160
16.4%
1149
16.2%
0 1046
14.8%
7 673
9.5%
3 523
7.4%
- 444
 
6.3%
1 392
 
5.5%
5 385
 
5.4%
6 374
 
5.3%
4 349
 
4.9%
Other values (4) 589
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5488
77.5%
Space Separator 1149
 
16.2%
Dash Punctuation 444
 
6.3%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1160
21.1%
0 1046
19.1%
7 673
12.3%
3 523
9.5%
1 392
 
7.1%
5 385
 
7.0%
6 374
 
6.8%
4 349
 
6.4%
8 323
 
5.9%
9 263
 
4.8%
Space Separator
ValueCountFrequency (%)
1149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 444
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7084
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1160
16.4%
1149
16.2%
0 1046
14.8%
7 673
9.5%
3 523
7.4%
- 444
 
6.3%
1 392
 
5.5%
5 385
 
5.4%
6 374
 
5.3%
4 349
 
4.9%
Other values (4) 589
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7084
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1160
16.4%
1149
16.2%
0 1046
14.8%
7 673
9.5%
3 523
7.4%
- 444
 
6.3%
1 392
 
5.5%
5 385
 
5.4%
6 374
 
5.3%
4 349
 
4.9%
Other values (4) 589
8.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing690
Missing (%)100.0%
Memory size6.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)48.6%
Missing480
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean110469.37
Minimum110010
Maximum110999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:35.907723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110010
5-th percentile110050.45
Q1110125
median110495
Q3110815
95-th percentile110862
Maximum110999
Range989
Interquartile range (IQR)690

Descriptive statistics

Standard deviation306.77937
Coefficient of variation (CV)0.0027770538
Kurtosis-1.4772278
Mean110469.37
Median Absolute Deviation (MAD)333.5
Skewness-0.058125696
Sum23198567
Variance94113.583
MonotonicityNot monotonic
2024-05-11T00:40:36.639652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110858 9
 
1.3%
110550 9
 
1.3%
110540 7
 
1.0%
110420 6
 
0.9%
110551 5
 
0.7%
110470 5
 
0.7%
110825 5
 
0.7%
110853 5
 
0.7%
110522 4
 
0.6%
110837 4
 
0.6%
Other values (92) 151
 
21.9%
(Missing) 480
69.6%
ValueCountFrequency (%)
110010 1
0.1%
110011 1
0.1%
110012 1
0.1%
110020 1
0.1%
110021 1
0.1%
110040 1
0.1%
110042 1
0.1%
110044 2
0.3%
110050 2
0.3%
110051 1
0.1%
ValueCountFrequency (%)
110999 1
 
0.1%
110901 2
 
0.3%
110888 3
 
0.4%
110873 1
 
0.1%
110872 1
 
0.1%
110863 1
 
0.1%
110862 3
 
0.4%
110861 1
 
0.1%
110858 9
1.3%
110853 5
0.7%

지번주소
Text

MISSING 

Distinct610
Distinct (%)90.5%
Missing16
Missing (%)2.3%
Memory size5.5 KiB
2024-05-11T00:40:37.485204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length21.772997
Min length3

Characters and Unicode

Total characters14675
Distinct characters276
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique568 ?
Unique (%)84.3%

Sample

1st row서울특별시 종로구 서린동 **번지
2nd row종로*가** 봉명빌딩 ***호
3rd row종로*가***
4th row인사동***-** 태화빌딩 **층
5th row당주동*-* 선덕빌딩***
ValueCountFrequency (%)
서울특별시 332
 
12.1%
종로구 332
 
12.1%
호 317
 
11.5%
번지 275
 
10.0%
층 142
 
5.2%
113
 
4.1%
종로*가 84
 
3.1%
숭인동 83
 
3.0%
창신동 44
 
1.6%
연지동 34
 
1.2%
Other values (439) 989
36.0%
2024-05-11T00:40:39.083241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3818
26.0%
2088
 
14.2%
동 627
 
4.3%
로 457
 
3.1%
종 442
 
3.0%
- 411
 
2.8%
호 365
 
2.5%
지 362
 
2.5%
서 346
 
2.4%
시 342
 
2.3%
Other values (266) 5417
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8252
56.2%
Other Punctuation 3838
26.2%
Space Separator 2088
 
14.2%
Dash Punctuation 411
 
2.8%
Uppercase Letter 66
 
0.4%
Lowercase Letter 11
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 627
 
7.6%
로 457
 
5.5%
종 442
 
5.4%
호 365
 
4.4%
지 362
 
4.4%
서 346
 
4.2%
시 342
 
4.1%
구 339
 
4.1%
빌 338
 
4.1%
울 335
 
4.1%
Other values (237) 4299
52.1%
Uppercase Letter
ValueCountFrequency (%)
B 21
31.8%
A 9
13.6%
D 7
 
10.6%
Y 6
 
9.1%
C 5
 
7.6%
K 5
 
7.6%
M 4
 
6.1%
S 3
 
4.5%
P 2
 
3.0%
T 2
 
3.0%
Other values (2) 2
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
c 2
18.2%
n 2
18.2%
b 1
9.1%
a 1
9.1%
i 1
9.1%
d 1
9.1%
r 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 3818
99.5%
, 12
 
0.3%
/ 6
 
0.2%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
2088
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8252
56.2%
Common 6346
43.2%
Latin 77
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 627
 
7.6%
로 457
 
5.5%
종 442
 
5.4%
호 365
 
4.4%
지 362
 
4.4%
서 346
 
4.2%
시 342
 
4.1%
구 339
 
4.1%
빌 338
 
4.1%
울 335
 
4.1%
Other values (237) 4299
52.1%
Latin
ValueCountFrequency (%)
B 21
27.3%
A 9
11.7%
D 7
 
9.1%
Y 6
 
7.8%
C 5
 
6.5%
K 5
 
6.5%
M 4
 
5.2%
S 3
 
3.9%
o 2
 
2.6%
c 2
 
2.6%
Other values (10) 13
16.9%
Common
ValueCountFrequency (%)
* 3818
60.2%
2088
32.9%
- 411
 
6.5%
, 12
 
0.2%
/ 6
 
0.1%
) 4
 
0.1%
( 4
 
0.1%
. 2
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8252
56.2%
ASCII 6423
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3818
59.4%
2088
32.5%
- 411
 
6.4%
B 21
 
0.3%
, 12
 
0.2%
A 9
 
0.1%
D 7
 
0.1%
/ 6
 
0.1%
Y 6
 
0.1%
C 5
 
0.1%
Other values (19) 40
 
0.6%
Hangul
ValueCountFrequency (%)
동 627
 
7.6%
로 457
 
5.5%
종 442
 
5.4%
호 365
 
4.4%
지 362
 
4.4%
서 346
 
4.2%
시 342
 
4.1%
구 339
 
4.1%
빌 338
 
4.1%
울 335
 
4.1%
Other values (237) 4299
52.1%

도로명주소
Text

MISSING 

Distinct300
Distinct (%)92.6%
Missing366
Missing (%)53.0%
Memory size5.5 KiB
2024-05-11T00:40:39.684334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length34.055556
Min length21

Characters and Unicode

Total characters11034
Distinct characters255
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)86.7%

Sample

1st row서울특별시 종로구 청계천로 ** (서린동)
2nd row서울특별시 종로구 대학로 **, 지하*층,*층-**층 (효제동)
3rd row서울특별시 종로구 난계로 ***, ***호 (숭인동, 서진빌딩)
4th row서울특별시 종로구 창경궁로 ***, **층 (원남동, 보령빌딩)
5th row서울특별시 종로구 김상옥로 **, 한국기독교연합회관 B*층 **호 (연지동)
ValueCountFrequency (%)
330
15.7%
서울특별시 324
15.4%
종로구 323
15.4%
호 158
 
7.5%
층 109
 
5.2%
종로 56
 
2.7%
종로*가 34
 
1.6%
숭인동 20
 
1.0%
창신동 19
 
0.9%
연지동 18
 
0.9%
Other values (341) 713
33.9%
2024-05-11T00:40:41.059725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1788
16.2%
* 1781
16.1%
로 678
 
6.1%
종 475
 
4.3%
, 417
 
3.8%
시 334
 
3.0%
서 329
 
3.0%
) 326
 
3.0%
( 326
 
3.0%
울 325
 
2.9%
Other values (245) 4255
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6307
57.2%
Other Punctuation 2198
 
19.9%
Space Separator 1788
 
16.2%
Close Punctuation 326
 
3.0%
Open Punctuation 326
 
3.0%
Dash Punctuation 40
 
0.4%
Uppercase Letter 34
 
0.3%
Lowercase Letter 13
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 678
 
10.7%
종 475
 
7.5%
시 334
 
5.3%
서 329
 
5.2%
울 325
 
5.2%
구 325
 
5.2%
별 324
 
5.1%
특 324
 
5.1%
동 306
 
4.9%
호 175
 
2.8%
Other values (217) 2712
43.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
32.4%
A 8
23.5%
K 3
 
8.8%
Y 3
 
8.8%
C 2
 
5.9%
M 2
 
5.9%
P 1
 
2.9%
S 1
 
2.9%
G 1
 
2.9%
L 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
n 2
15.4%
o 2
15.4%
c 2
15.4%
a 1
7.7%
i 1
7.7%
d 1
7.7%
r 1
7.7%
s 1
7.7%
g 1
7.7%
b 1
7.7%
Other Punctuation
ValueCountFrequency (%)
* 1781
81.0%
, 417
 
19.0%
Space Separator
ValueCountFrequency (%)
1788
100.0%
Close Punctuation
ValueCountFrequency (%)
) 326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6307
57.2%
Common 4680
42.4%
Latin 47
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 678
 
10.7%
종 475
 
7.5%
시 334
 
5.3%
서 329
 
5.2%
울 325
 
5.2%
구 325
 
5.2%
별 324
 
5.1%
특 324
 
5.1%
동 306
 
4.9%
호 175
 
2.8%
Other values (217) 2712
43.0%
Latin
ValueCountFrequency (%)
B 11
23.4%
A 8
17.0%
K 3
 
6.4%
Y 3
 
6.4%
C 2
 
4.3%
M 2
 
4.3%
n 2
 
4.3%
o 2
 
4.3%
c 2
 
4.3%
a 1
 
2.1%
Other values (11) 11
23.4%
Common
ValueCountFrequency (%)
1788
38.2%
* 1781
38.1%
, 417
 
8.9%
) 326
 
7.0%
( 326
 
7.0%
- 40
 
0.9%
~ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6307
57.2%
ASCII 4727
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1788
37.8%
* 1781
37.7%
, 417
 
8.8%
) 326
 
6.9%
( 326
 
6.9%
- 40
 
0.8%
B 11
 
0.2%
A 8
 
0.2%
K 3
 
0.1%
Y 3
 
0.1%
Other values (18) 24
 
0.5%
Hangul
ValueCountFrequency (%)
로 678
 
10.7%
종 475
 
7.5%
시 334
 
5.3%
서 329
 
5.2%
울 325
 
5.2%
구 325
 
5.2%
별 324
 
5.1%
특 324
 
5.1%
동 306
 
4.9%
호 175
 
2.8%
Other values (217) 2712
43.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)57.7%
Missing475
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean51113.307
Minimum3000
Maximum110999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:41.517254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3039.4
Q13129
median3185
Q3110750
95-th percentile110858.9
Maximum110999
Range107999
Interquartile range (IQR)107621

Descriptive statistics

Standard deviation53557.25
Coefficient of variation (CV)1.0478142
Kurtosis-1.9713836
Mean51113.307
Median Absolute Deviation (MAD)145
Skewness0.21674749
Sum10989361
Variance2.868379 × 109
MonotonicityNot monotonic
2024-05-11T00:40:42.166295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3129 13
 
1.9%
110858 7
 
1.0%
110853 6
 
0.9%
110825 5
 
0.7%
3150 5
 
0.7%
3157 5
 
0.7%
3130 4
 
0.6%
3126 4
 
0.6%
3139 4
 
0.6%
3132 4
 
0.6%
Other values (114) 158
 
22.9%
(Missing) 475
68.8%
ValueCountFrequency (%)
3000 1
0.1%
3005 1
0.1%
3007 1
0.1%
3008 1
0.1%
3014 2
0.3%
3026 1
0.1%
3028 1
0.1%
3034 1
0.1%
3036 1
0.1%
3038 1
0.1%
ValueCountFrequency (%)
110999 1
 
0.1%
110890 1
 
0.1%
110888 3
0.4%
110873 1
 
0.1%
110872 1
 
0.1%
110862 3
0.4%
110861 1
 
0.1%
110858 7
1.0%
110853 6
0.9%
110848 1
 
0.1%

사업장명
Text

Distinct676
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2024-05-11T00:40:42.752667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length7.2985507
Min length1

Characters and Unicode

Total characters5036
Distinct characters488
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique662 ?
Unique (%)95.9%

Sample

1st row한국화장품(주)
2nd row국민키디
3rd row우성기획
4th row(주)아이피에스
5th row도서출판 육문서각
ValueCountFrequency (%)
주식회사 38
 
4.5%
주 21
 
2.5%
윤선생영어교실 3
 
0.4%
인셀덤 3
 
0.4%
쉐마(shema 2
 
0.2%
행정사 2
 
0.2%
원전커머스 2
 
0.2%
스포츠 2
 
0.2%
유한회사 2
 
0.2%
대리점 2
 
0.2%
Other values (743) 761
90.8%
2024-05-11T00:40:44.130703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 280
 
5.6%
) 243
 
4.8%
( 196
 
3.9%
이 153
 
3.0%
148
 
2.9%
스 118
 
2.3%
사 115
 
2.3%
에 72
 
1.4%
아 71
 
1.4%
리 70
 
1.4%
Other values (478) 3570
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4252
84.4%
Close Punctuation 243
 
4.8%
Open Punctuation 196
 
3.9%
Space Separator 148
 
2.9%
Uppercase Letter 96
 
1.9%
Lowercase Letter 56
 
1.1%
Decimal Number 24
 
0.5%
Other Punctuation 19
 
0.4%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 280
 
6.6%
이 153
 
3.6%
스 118
 
2.8%
사 115
 
2.7%
에 72
 
1.7%
아 71
 
1.7%
리 70
 
1.6%
한 67
 
1.6%
회 59
 
1.4%
인 56
 
1.3%
Other values (420) 3191
75.0%
Uppercase Letter
ValueCountFrequency (%)
S 11
11.5%
K 9
 
9.4%
C 9
 
9.4%
E 8
 
8.3%
N 7
 
7.3%
I 6
 
6.2%
T 5
 
5.2%
A 5
 
5.2%
M 5
 
5.2%
D 4
 
4.2%
Other values (13) 27
28.1%
Lowercase Letter
ValueCountFrequency (%)
a 8
14.3%
n 7
12.5%
u 5
 
8.9%
e 5
 
8.9%
t 4
 
7.1%
l 3
 
5.4%
r 3
 
5.4%
o 3
 
5.4%
m 3
 
5.4%
h 2
 
3.6%
Other values (10) 13
23.2%
Decimal Number
ValueCountFrequency (%)
3 6
25.0%
2 6
25.0%
1 5
20.8%
8 2
 
8.3%
0 2
 
8.3%
7 1
 
4.2%
9 1
 
4.2%
5 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 13
68.4%
& 4
 
21.1%
, 2
 
10.5%
Close Punctuation
ValueCountFrequency (%)
) 243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4249
84.4%
Common 632
 
12.5%
Latin 152
 
3.0%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 280
 
6.6%
이 153
 
3.6%
스 118
 
2.8%
사 115
 
2.7%
에 72
 
1.7%
아 71
 
1.7%
리 70
 
1.6%
한 67
 
1.6%
회 59
 
1.4%
인 56
 
1.3%
Other values (417) 3188
75.0%
Latin
ValueCountFrequency (%)
S 11
 
7.2%
K 9
 
5.9%
C 9
 
5.9%
E 8
 
5.3%
a 8
 
5.3%
N 7
 
4.6%
n 7
 
4.6%
I 6
 
3.9%
T 5
 
3.3%
u 5
 
3.3%
Other values (33) 77
50.7%
Common
ValueCountFrequency (%)
) 243
38.4%
( 196
31.0%
148
23.4%
. 13
 
2.1%
3 6
 
0.9%
2 6
 
0.9%
1 5
 
0.8%
& 4
 
0.6%
8 2
 
0.3%
0 2
 
0.3%
Other values (5) 7
 
1.1%
Han
ValueCountFrequency (%)
堂 1
33.3%
有 1
33.3%
香 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4249
84.4%
ASCII 784
 
15.6%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 280
 
6.6%
이 153
 
3.6%
스 118
 
2.8%
사 115
 
2.7%
에 72
 
1.7%
아 71
 
1.7%
리 70
 
1.6%
한 67
 
1.6%
회 59
 
1.4%
인 56
 
1.3%
Other values (417) 3188
75.0%
ASCII
ValueCountFrequency (%)
) 243
31.0%
( 196
25.0%
148
18.9%
. 13
 
1.7%
S 11
 
1.4%
K 9
 
1.1%
C 9
 
1.1%
E 8
 
1.0%
a 8
 
1.0%
N 7
 
0.9%
Other values (48) 132
16.8%
CJK
ValueCountFrequency (%)
堂 1
33.3%
有 1
33.3%
香 1
33.3%

최종수정일자
Date

UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2011-03-02 11:22:26
Maximum2024-05-07 17:07:55
2024-05-11T00:40:44.605509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:40:45.179375image/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 size5.5 KiB
I
578 
U
112 

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 578
83.8%
U 112
 
16.2%

Length

2024-05-11T00:40:45.840974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:40:46.256237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 578
83.8%
u 112
 
16.2%

데이터갱신일자
Date

Distinct104
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T00:40:46.696914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:40:47.269442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing690
Missing (%)100.0%
Memory size6.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct217
Distinct (%)66.4%
Missing363
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean199158.48
Minimum195833.16
Maximum201962.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:47.770959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195833.16
5-th percentile196701.65
Q1198119.83
median199045.04
Q3200105.32
95-th percentile201809.68
Maximum201962.63
Range6129.4709
Interquartile range (IQR)1985.4855

Descriptive statistics

Standard deviation1543.0065
Coefficient of variation (CV)0.0077476313
Kurtosis-0.902578
Mean199158.48
Median Absolute Deviation (MAD)1027.3345
Skewness0.04692822
Sum65124823
Variance2380869
MonotonicityNot monotonic
2024-05-11T00:40:48.223864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198324.653631679 17
 
2.5%
198150.300374121 11
 
1.6%
200072.378101828 8
 
1.2%
200008.831492823 7
 
1.0%
199914.775758708 6
 
0.9%
201809.67645682 6
 
0.9%
197567.747824202 5
 
0.7%
201744.684500585 4
 
0.6%
198805.617234082 4
 
0.6%
199878.668537625 3
 
0.4%
Other values (207) 256
37.1%
(Missing) 363
52.6%
ValueCountFrequency (%)
195833.158146383 1
0.1%
196143.256118357 2
0.3%
196215.891675956 1
0.1%
196216.695084581 1
0.1%
196340.192968721 1
0.1%
196343.962404796 1
0.1%
196444.724457441 2
0.3%
196473.332658343 1
0.1%
196518.949797615 1
0.1%
196554.899209998 1
0.1%
ValueCountFrequency (%)
201962.62904341 2
 
0.3%
201946.86632604 2
 
0.3%
201911.136750205 1
 
0.1%
201881.234237298 2
 
0.3%
201850.462764525 3
0.4%
201827.31373295 1
 
0.1%
201819.244702711 1
 
0.1%
201809.67645682 6
0.9%
201793.583461764 1
 
0.1%
201774.358976512 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct217
Distinct (%)66.4%
Missing363
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean452547.97
Minimum451580.23
Maximum456875.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:48.945889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451580.23
5-th percentile451901.41
Q1452141.34
median452293.9
Q3452529.66
95-th percentile453967.12
Maximum456875.49
Range5295.2605
Interquartile range (IQR)388.31305

Descriptive statistics

Standard deviation841.60866
Coefficient of variation (CV)0.0018597115
Kurtosis10.448467
Mean452547.97
Median Absolute Deviation (MAD)178.66773
Skewness3.0832054
Sum1.4798319 × 108
Variance708305.14
MonotonicityNot monotonic
2024-05-11T00:40:49.411802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452252.812389497 17
 
2.5%
452019.212642931 11
 
1.6%
452291.689518232 8
 
1.2%
452291.335627477 7
 
1.0%
452094.38368523 6
 
0.9%
452460.718015096 6
 
0.9%
452347.973860449 5
 
0.7%
452310.493659326 4
 
0.6%
452181.053949579 4
 
0.6%
453693.071412414 3
 
0.4%
Other values (207) 256
37.1%
(Missing) 363
52.6%
ValueCountFrequency (%)
451580.22699738 1
0.1%
451797.477709718 2
0.3%
451811.272474605 1
0.1%
451814.424196043 2
0.3%
451826.346589316 1
0.1%
451854.820889784 2
0.3%
451859.966105804 1
0.1%
451866.449386154 1
0.1%
451888.484197892 1
0.1%
451893.723775688 1
0.1%
ValueCountFrequency (%)
456875.487534998 1
0.1%
456837.20039947 1
0.1%
456414.814895324 1
0.1%
456220.012148299 1
0.1%
456101.106039357 1
0.1%
456078.390474517 1
0.1%
455909.430914939 1
0.1%
455869.049851389 2
0.3%
455813.537323017 1
0.1%
455808.978640669 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)44.9%
Missing463
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean2.318273 × 1010
Minimum0
Maximum1.976245 × 1012
Zeros89
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:49.868906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3000000
Q32.2421193 × 108
95-th percentile6.1712603 × 1010
Maximum1.976245 × 1012
Range1.976245 × 1012
Interquartile range (IQR)2.2421193 × 108

Descriptive statistics

Standard deviation1.5107019 × 1011
Coefficient of variation (CV)6.5164969
Kurtosis127.09718
Mean2.318273 × 1010
Median Absolute Deviation (MAD)3000000
Skewness10.492361
Sum5.2624797 × 1012
Variance2.2822201 × 1022
MonotonicityNot monotonic
2024-05-11T00:40:50.363153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89
 
12.9%
1 21
 
3.0%
100000000 5
 
0.7%
10000000 4
 
0.6%
200000000 3
 
0.4%
50000000 3
 
0.4%
300000000 2
 
0.3%
20000000 2
 
0.3%
5000000 2
 
0.3%
25000000 2
 
0.3%
Other values (92) 94
 
13.6%
(Missing) 463
67.1%
ValueCountFrequency (%)
0 89
12.9%
1 21
 
3.0%
9 1
 
0.1%
5000 1
 
0.1%
1800000 1
 
0.1%
3000000 1
 
0.1%
5000000 2
 
0.3%
10000000 4
 
0.6%
10076547 1
 
0.1%
12760627 1
 
0.1%
ValueCountFrequency (%)
1976245000000 1
0.1%
616805801471 1
0.1%
604699920778 1
0.1%
596654862111 1
0.1%
394383550991 1
0.1%
214778323075 1
0.1%
138743559172 1
0.1%
130471647603 1
0.1%
90844000000 1
0.1%
85324237341 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)38.5%
Missing464
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean1.0591799 × 1010
Minimum0
Maximum1.037676 × 1012
Zeros117
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:50.996330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2489775 × 108
95-th percentile1.4439809 × 1010
Maximum1.037676 × 1012
Range1.037676 × 1012
Interquartile range (IQR)1.2489775 × 108

Descriptive statistics

Standard deviation7.8300416 × 1010
Coefficient of variation (CV)7.3925513
Kurtosis135.70239
Mean1.0591799 × 1010
Median Absolute Deviation (MAD)0
Skewness10.987868
Sum2.3937466 × 1012
Variance6.1309552 × 1021
MonotonicityNot monotonic
2024-05-11T00:40:51.575723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117
 
17.0%
1 22
 
3.2%
200000000 2
 
0.3%
30000000 2
 
0.3%
2003540 1
 
0.1%
1206490552 1
 
0.1%
333242851 1
 
0.1%
171317321 1
 
0.1%
43219163372 1
 
0.1%
586715674 1
 
0.1%
Other values (77) 77
 
11.2%
(Missing) 464
67.2%
ValueCountFrequency (%)
0 117
17.0%
1 22
 
3.2%
9 1
 
0.1%
1280619 1
 
0.1%
2003540 1
 
0.1%
3560000 1
 
0.1%
4620000 1
 
0.1%
5000000 1
 
0.1%
10000000 1
 
0.1%
10435763 1
 
0.1%
ValueCountFrequency (%)
1037676000000 1
0.1%
347453203703 1
0.1%
344650812004 1
0.1%
267062625978 1
0.1%
93848955889 1
0.1%
53780151957 1
0.1%
43219163372 1
0.1%
35760000000 1
0.1%
28605000000 1
0.1%
19528194753 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct56
Distinct (%)24.7%
Missing463
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean2.3957695 × 109
Minimum0
Maximum8.8589 × 1010
Zeros85
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T00:40:52.114034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5000000
Q31 × 108
95-th percentile9.6202 × 109
Maximum8.8589 × 1010
Range8.8589 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.0980974 × 1010
Coefficient of variation (CV)4.5834852
Kurtosis33.362861
Mean2.3957695 × 109
Median Absolute Deviation (MAD)5000000
Skewness5.6023776
Sum5.4383968 × 1011
Variance1.2058179 × 1020
MonotonicityNot monotonic
2024-05-11T00:40:52.837662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
 
12.3%
50000000 26
 
3.8%
1 21
 
3.0%
100000000 21
 
3.0%
10000000 6
 
0.9%
200000000 5
 
0.7%
20000000 4
 
0.6%
5000000 4
 
0.6%
300000000 3
 
0.4%
500000000 2
 
0.3%
Other values (46) 50
 
7.2%
(Missing) 463
67.1%
ValueCountFrequency (%)
0 85
12.3%
1 21
 
3.0%
9 1
 
0.1%
1800000 1
 
0.1%
2000000 1
 
0.1%
3000000 2
 
0.3%
5000000 4
 
0.6%
10000000 6
 
0.9%
10020020 1
 
0.1%
14892585 1
 
0.1%
ValueCountFrequency (%)
88589000000 1
0.1%
76951495646 1
0.1%
63920165000 1
0.1%
52314000000 1
0.1%
47434667067 1
0.1%
42105073969 1
0.1%
39333334000 1
0.1%
35453345557 1
0.1%
20857000000 1
0.1%
18605479900 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing690
Missing (%)100.0%
Memory size6.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03000000199630001012320001620020118<NA>3폐업3폐업처리20120824<NA><NA><NA>02 724 3205<NA>110110서울특별시 종로구 서린동 **번지서울특별시 종로구 청계천로 ** (서린동)<NA>한국화장품(주)2017-09-15 11:39:51I2018-08-31 23:59:59.0<NA>198284.392181451901.4060151387435591721917341960910300000000<NA>
13000000199630001012320001719970625<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 741 0977<NA><NA>종로*가** 봉명빌딩 ***호<NA><NA>국민키디2013-10-15 09:17:29I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23000000199630001012320002419970829<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 235 6086<NA><NA>종로*가***<NA><NA>우성기획2013-10-15 09:17:58I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33000000199630001012320002820020423<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 2115 8835<NA><NA>인사동***-** 태화빌딩 **층<NA><NA>(주)아이피에스2011-10-13 10:35:11I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
43000000199630001012320003220060407<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 3411 1837<NA><NA>당주동*-* 선덕빌딩***<NA><NA>도서출판 육문서각2013-10-15 09:14:42I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53000000199630001012320003619971204<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>-<NA><NA>효제동*** 대창빌딩 ***<NA><NA>남양알로에2012-02-27 13:58:18I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63000000199630001012320003919960829<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 765 7236<NA><NA>서린동**<NA><NA>성진미디어2012-07-13 15:31:07I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73000000199630001012320004019980112<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 765 7211<NA><NA>신문로*가**-** 신화빌딩***<NA><NA>주)동한마케팅2011-10-13 10:12:43I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83000000199630001012320006119980319<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 733 5518<NA><NA>관철동*-** 옹링빌딩 *층****<NA><NA>우정상사2011-10-13 10:12:57I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93000000199630001012320006419980402<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 238 0323<NA><NA>연건동***-**<NA><NA>삼정기업2013-10-15 09:18:29I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
6803000000202230002022320001320221021<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 내수동 **서울특별시 종로구 사직로*길 **, ****호 (내수동)3174주식회사 메타게임2022-10-24 17:25:44I2021-10-30 22:06:00.0<NA>197465.223921452366.6139<NA><NA><NA><NA>
681300000020233000202232000012023-02-07<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-736-9966<NA><NA>서울특별시 종로구 경운동 **-** 경운동 운현 SKY빌딩서울특별시 종로구 율곡로 **, 경운동 운현 SKY빌딩 *층 (경운동)3147주식회사 아게이트2023-02-09 20:15:57I2022-12-01 23:01:00.0<NA>198655.850411452669.099035<NA><NA><NA><NA>
682300000020233000202232000022023-03-09<NA>5제외/삭제/전출5타시군구이관2024-04-29<NA><NA><NA>1833-2732<NA><NA>서울특별시 종로구 관훈동 ***-* 동덕빌딩서울특별시 종로구 우정국로 **, 동덕빌딩 *층 (관훈동)3145주식회사 위허들링(WEHUDDLING)2024-04-29 09:06:32U2023-12-05 00:01:00.0<NA><NA><NA><NA><NA><NA><NA>
683300000020233000202232000032023-07-21<NA>1영업/정상1정상영업<NA><NA><NA><NA>1600-3608<NA><NA>서울특별시 종로구 익선동 **-* 운현신화타워서울특별시 종로구 삼일대로**길 **, *층 ***호 (익선동, 운현신화타워)3132직능연합크루즈 주식회사2023-07-26 11:41:46I2022-12-06 22:08:00.0<NA>198970.736457452534.454782<NA><NA><NA><NA>
684300000020233000202232000042023-08-21<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 ***-*서울특별시 종로구 낙산성곽*길 *, 지하*호 (창신동)3101주식회사 아리랑마트2023-08-25 17:28:59I2022-12-07 22:07:00.0<NA>200810.216922452226.919665<NA><NA><NA><NA>
685300000020233000202232000052023-10-06<NA>5제외/삭제/전출5타시군구이관2024-01-29<NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 *-*서울특별시 종로구 종로 ***, *층 (종로*가)3126주식회사 파워리턴2024-01-29 09:58:33U2023-11-30 21:01:00.0<NA>200438.506013452115.231796<NA><NA><NA><NA>
686300000020233000202232000062023-12-14<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜*가 **-* 명륜프라자서울특별시 종로구 창경궁로 ***, 명륜프라자 *,*층 (명륜*가)3077반올림 홀쇼핑2023-12-15 15:27:56I2022-11-01 23:07:00.0<NA>199978.479677453567.542008<NA><NA><NA><NA>
687300000020243000245232000012024-01-25<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 구기동 **-**서울특별시 종로구 진흥로**길 *, ***호 (구기동)3007라모드2024-01-25 13:57:57I2023-11-30 22:07:00.0<NA>196340.192969456101.106039<NA><NA><NA><NA>
688300000020243000245232000022024-01-30<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 *** 광화문빌딩서울특별시 종로구 세종대로 ***, 광화문빌딩 **층 ****호 (세종로)3186주식회사 자보코리아2024-01-30 15:24:38I2023-12-02 00:01:00.0<NA>197836.220312451932.366737<NA><NA><NA><NA>
689300000020243000245232000042024-03-25<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 ** 금원빌딩서울특별시 종로구 종로 ***, 금원빌딩 ***호 (종로*가)3129본가 국제결혼정보2024-03-25 16:37:55I2023-12-02 22:07:00.0<NA>199993.071594452126.285694<NA><NA><NA><NA>