Overview

Dataset statistics

Number of variables29
Number of observations3236
Missing cells38250
Missing cells (%)40.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory771.2 KiB
Average record size in memory244.0 B

Variable types

Categorical7
Text6
DateTime7
Numeric6
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-18773/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.5%)Imbalance
소재지우편번호 is highly imbalanced (76.8%)Imbalance
폐업일자 has 2587 (79.9%) missing valuesMissing
휴업시작일자 has 3225 (99.7%) missing valuesMissing
휴업종료일자 has 3225 (99.7%) missing valuesMissing
재개업일자 has 3233 (99.9%) missing valuesMissing
전화번호 has 231 (7.1%) missing valuesMissing
소재지면적 has 3236 (100.0%) missing valuesMissing
지번주소 has 345 (10.7%) missing valuesMissing
도로명주소 has 1920 (59.3%) missing valuesMissing
도로명우편번호 has 2486 (76.8%) missing valuesMissing
업태구분명 has 3236 (100.0%) missing valuesMissing
좌표정보(X) has 1902 (58.8%) missing valuesMissing
좌표정보(Y) has 1902 (58.8%) missing valuesMissing
자산규모 has 2495 (77.1%) missing valuesMissing
부채총액 has 2498 (77.2%) missing valuesMissing
자본금 has 2493 (77.0%) missing valuesMissing
판매방식명 has 3236 (100.0%) missing valuesMissing
좌표정보(X) is highly skewed (γ1 = 32.48669662)Skewed
좌표정보(Y) is highly skewed (γ1 = -34.16643722)Skewed
자산규모 is highly skewed (γ1 = 27.20027562)Skewed
부채총액 is highly skewed (γ1 = 27.12977899)Skewed
자본금 is highly skewed (γ1 = 23.12644152)Skewed
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 271 (8.4%) zerosZeros
부채총액 has 474 (14.6%) zerosZeros
자본금 has 68 (2.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:24:34.135412
Analysis finished2024-05-11 05:24:35.579450
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
3210000
3236 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 3236
100.0%

Length

2024-05-11T14:24:35.710128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:35.840799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 3236
100.0%

관리번호
Text

UNIQUE 

Distinct3236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-05-11T14:24:36.034595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters61484
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3236 ?
Unique (%)100.0%

Sample

1st row1996321007623200001
2nd row1996321007623200003
3rd row1996321007623200004
4th row1996321007623200008
5th row1996321007623200011
ValueCountFrequency (%)
1996321007623200001 1
 
< 0.1%
2008321012123200103 1
 
< 0.1%
2008321012123200094 1
 
< 0.1%
2008321012123200118 1
 
< 0.1%
2008321012123200095 1
 
< 0.1%
2008321012123200096 1
 
< 0.1%
2008321012123200097 1
 
< 0.1%
2008321012123200098 1
 
< 0.1%
2008321012123200099 1
 
< 0.1%
2008321012123200100 1
 
< 0.1%
Other values (3226) 3226
99.7%
2024-05-11T14:24:36.413465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19678
32.0%
2 14978
24.4%
1 8433
13.7%
3 7971
13.0%
6 2846
 
4.6%
7 2771
 
4.5%
9 1540
 
2.5%
5 1452
 
2.4%
4 946
 
1.5%
8 861
 
1.4%
Other values (3) 8
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61476
> 99.9%
Dash Punctuation 5
 
< 0.1%
Space Separator 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19678
32.0%
2 14978
24.4%
1 8433
13.7%
3 7971
13.0%
6 2846
 
4.6%
7 2771
 
4.5%
9 1540
 
2.5%
5 1452
 
2.4%
4 946
 
1.5%
8 861
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61484
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19678
32.0%
2 14978
24.4%
1 8433
13.7%
3 7971
13.0%
6 2846
 
4.6%
7 2771
 
4.5%
9 1540
 
2.5%
5 1452
 
2.4%
4 946
 
1.5%
8 861
 
1.4%
Other values (3) 8
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19678
32.0%
2 14978
24.4%
1 8433
13.7%
3 7971
13.0%
6 2846
 
4.6%
7 2771
 
4.5%
9 1540
 
2.5%
5 1452
 
2.4%
4 946
 
1.5%
8 861
 
1.4%
Other values (3) 8
 
< 0.1%

인허가일자
Date

Distinct2048
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum1996-08-02 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:24:36.631372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:36.852301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
3234 
20090427
 
1
20120307
 
1

Length

Max length8
Median length4
Mean length4.0024722
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3234
99.9%
20090427 1
 
< 0.1%
20120307 1
 
< 0.1%

Length

2024-05-11T14:24:37.057198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:37.218618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3234
99.9%
20090427 1
 
< 0.1%
20120307 1
 
< 0.1%

영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
3
1379 
4
1099 
1
736 
5
 
13
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1379
42.6%
4 1099
34.0%
1 736
22.7%
5 13
 
0.4%
2 9
 
0.3%

Length

2024-05-11T14:24:37.345416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:37.474209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1379
42.6%
4 1099
34.0%
1 736
22.7%
5 13
 
0.4%
2 9
 
0.3%

영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
폐업
1379 
취소/말소/만료/정지/중지
1099 
영업/정상
736 
제외/삭제/전출
 
13
휴업
 
9

Length

Max length14
Median length8
Mean length6.7818294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1379
42.6%
취소/말소/만료/정지/중지 1099
34.0%
영업/정상 736
22.7%
제외/삭제/전출 13
 
0.4%
휴업 9
 
0.3%

Length

2024-05-11T14:24:37.637377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:37.797198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1379
42.6%
취소/말소/만료/정지/중지 1099
34.0%
영업/정상 736
22.7%
제외/삭제/전출 13
 
0.4%
휴업 9
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7966625
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-05-11T14:24:37.969373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2734408
Coefficient of variation (CV)0.5987998
Kurtosis-1.2791415
Mean3.7966625
Median Absolute Deviation (MAD)2
Skewness0.40334774
Sum12286
Variance5.1685329
MonotonicityNot monotonic
2024-05-11T14:24:38.130107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 1379
42.6%
7 978
30.2%
1 736
22.7%
4 121
 
3.7%
5 13
 
0.4%
2 9
 
0.3%
ValueCountFrequency (%)
1 736
22.7%
2 9
 
0.3%
3 1379
42.6%
4 121
 
3.7%
5 13
 
0.4%
7 978
30.2%
ValueCountFrequency (%)
7 978
30.2%
5 13
 
0.4%
4 121
 
3.7%
3 1379
42.6%
2 9
 
0.3%
1 736
22.7%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
폐업처리
1379 
직권말소
978 
정상영업
736 
직권취소
 
121
타시군구이관
 
13

Length

Max length6
Median length4
Mean length4.0080346
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1379
42.6%
직권말소 978
30.2%
정상영업 736
22.7%
직권취소 121
 
3.7%
타시군구이관 13
 
0.4%
휴업처리 9
 
0.3%

Length

2024-05-11T14:24:38.338590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:38.525062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1379
42.6%
직권말소 978
30.2%
정상영업 736
22.7%
직권취소 121
 
3.7%
타시군구이관 13
 
0.4%
휴업처리 9
 
0.3%

폐업일자
Date

MISSING 

Distinct564
Distinct (%)86.9%
Missing2587
Missing (%)79.9%
Memory size25.4 KiB
Minimum2004-11-30 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:24:38.710010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:38.952605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing3225
Missing (%)99.7%
Memory size25.4 KiB
Minimum2007-07-24 00:00:00
Maximum2023-12-01 00:00:00
2024-05-11T14:24:39.137378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:39.301732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업종료일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing3225
Missing (%)99.7%
Memory size25.4 KiB
Minimum2008-12-31 00:00:00
Maximum2024-06-30 00:00:00
2024-05-11T14:24:39.441153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:39.592074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

재개업일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing3233
Missing (%)99.9%
Memory size25.4 KiB
Minimum2008-10-31 00:00:00
Maximum2023-07-14 00:00:00
2024-05-11T14:24:39.721564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:39.863413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

전화번호
Text

MISSING 

Distinct2587
Distinct (%)86.1%
Missing231
Missing (%)7.1%
Memory size25.4 KiB
2024-05-11T14:24:40.385909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10.666223
Min length1

Characters and Unicode

Total characters32052
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2478 ?
Unique (%)82.5%

Sample

1st row02 532 4758
2nd row02 576 2724
3rd row02 592 4811
4th row02 586 5404
5th row02 583 0130
ValueCountFrequency (%)
02 1925
30.9%
522 52
 
0.8%
521 48
 
0.8%
598 42
 
0.7%
581 41
 
0.7%
525 40
 
0.6%
582 40
 
0.6%
3472 39
 
0.6%
588 38
 
0.6%
523 37
 
0.6%
Other values (2676) 3933
63.1%
2024-05-11T14:24:41.088746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5462
17.0%
2 4755
14.8%
0 4724
14.7%
5 3213
10.0%
8 2032
 
6.3%
3 1951
 
6.1%
7 1933
 
6.0%
1 1895
 
5.9%
4 1823
 
5.7%
6 1446
 
4.5%
Other values (6) 2818
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25126
78.4%
Space Separator 5462
 
17.0%
Dash Punctuation 1205
 
3.8%
Other Punctuation 255
 
0.8%
Math Symbol 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4755
18.9%
0 4724
18.8%
5 3213
12.8%
8 2032
8.1%
3 1951
7.8%
7 1933
7.7%
1 1895
 
7.5%
4 1823
 
7.3%
6 1446
 
5.8%
9 1354
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 254
99.6%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
5462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1205
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32052
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5462
17.0%
2 4755
14.8%
0 4724
14.7%
5 3213
10.0%
8 2032
 
6.3%
3 1951
 
6.1%
7 1933
 
6.0%
1 1895
 
5.9%
4 1823
 
5.7%
6 1446
 
4.5%
Other values (6) 2818
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5462
17.0%
2 4755
14.8%
0 4724
14.7%
5 3213
10.0%
8 2032
 
6.3%
3 1951
 
6.1%
7 1933
 
6.0%
1 1895
 
5.9%
4 1823
 
5.7%
6 1446
 
4.5%
Other values (6) 2818
8.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3236
Missing (%)100.0%
Memory size28.6 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct47
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
2571 
137070
288 
137060
 
159
137130
 
65
137030
 
46
Other values (42)
 
107

Length

Max length7
Median length4
Mean length4.4125464
Min length4

Unique

Unique30 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2571
79.4%
137070 288
 
8.9%
137060 159
 
4.9%
137130 65
 
2.0%
137030 46
 
1.4%
137040 36
 
1.1%
137071 12
 
0.4%
137-070 4
 
0.1%
137140 4
 
0.1%
137061 3
 
0.1%
Other values (37) 48
 
1.5%

Length

2024-05-11T14:24:41.334515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2571
79.4%
137070 288
 
8.9%
137060 159
 
4.9%
137130 65
 
2.0%
137030 46
 
1.4%
137040 36
 
1.1%
137071 12
 
0.4%
137-070 4
 
0.1%
137140 4
 
0.1%
137061 3
 
0.1%
Other values (37) 48
 
1.5%

지번주소
Text

MISSING 

Distinct2016
Distinct (%)69.7%
Missing345
Missing (%)10.7%
Memory size25.4 KiB
2024-05-11T14:24:41.754193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length56
Mean length39.595642
Min length13

Characters and Unicode

Total characters114471
Distinct characters416
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1751 ?
Unique (%)60.6%

Sample

1st row서울특별시 서초구 반포동 **-*
2nd row서울특별시 서초구 양재동 ***-**
3rd row서울특별시 서초구 서초동 ****-*
4th row서울특별시 서초구 방배동 ***-**
5th row서울특별시 서초구 방배동 ***-**
ValueCountFrequency (%)
서초구 2874
17.7%
서울특별시 2873
17.7%
2376
14.6%
서초동 1356
8.3%
호 1352
8.3%
층 861
 
5.3%
번지 832
 
5.1%
방배동 703
 
4.3%
양재동 366
 
2.2%
잠원동 246
 
1.5%
Other values (1306) 2432
14.9%
2024-05-11T14:24:42.460265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48537
42.4%
* 18051
 
15.8%
서 7325
 
6.4%
초 4358
 
3.8%
동 3043
 
2.7%
시 2901
 
2.5%
구 2891
 
2.5%
울 2886
 
2.5%
별 2875
 
2.5%
특 2873
 
2.5%
Other values (406) 18731
 
16.4%

Most occurring categories

ValueCountFrequency (%)
Space Separator 48537
42.4%
Other Letter 45382
39.6%
Other Punctuation 18115
 
15.8%
Dash Punctuation 2198
 
1.9%
Uppercase Letter 185
 
0.2%
Decimal Number 28
 
< 0.1%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 7325
16.1%
초 4358
 
9.6%
동 3043
 
6.7%
시 2901
 
6.4%
구 2891
 
6.4%
울 2886
 
6.4%
별 2875
 
6.3%
특 2873
 
6.3%
호 1503
 
3.3%
빌 1435
 
3.2%
Other values (359) 13292
29.3%
Uppercase Letter
ValueCountFrequency (%)
B 51
27.6%
A 25
13.5%
L 13
 
7.0%
T 11
 
5.9%
G 10
 
5.4%
D 8
 
4.3%
R 8
 
4.3%
E 7
 
3.8%
S 6
 
3.2%
K 6
 
3.2%
Other values (14) 40
21.6%
Decimal Number
ValueCountFrequency (%)
1 10
35.7%
4 4
 
14.3%
9 3
 
10.7%
3 3
 
10.7%
5 2
 
7.1%
7 2
 
7.1%
6 1
 
3.6%
0 1
 
3.6%
8 1
 
3.6%
2 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
* 18051
99.6%
, 55
 
0.3%
/ 6
 
< 0.1%
? 1
 
< 0.1%
. 1
 
< 0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
48537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68902
60.2%
Hangul 45382
39.6%
Latin 187
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 7325
16.1%
초 4358
 
9.6%
동 3043
 
6.7%
시 2901
 
6.4%
구 2891
 
6.4%
울 2886
 
6.4%
별 2875
 
6.3%
특 2873
 
6.3%
호 1503
 
3.3%
빌 1435
 
3.2%
Other values (359) 13292
29.3%
Latin
ValueCountFrequency (%)
B 51
27.3%
A 25
13.4%
L 13
 
7.0%
T 11
 
5.9%
G 10
 
5.3%
D 8
 
4.3%
R 8
 
4.3%
E 7
 
3.7%
S 6
 
3.2%
K 6
 
3.2%
Other values (16) 42
22.5%
Common
ValueCountFrequency (%)
48537
70.4%
* 18051
 
26.2%
- 2198
 
3.2%
, 55
 
0.1%
( 11
 
< 0.1%
) 11
 
< 0.1%
1 10
 
< 0.1%
/ 6
 
< 0.1%
4 4
 
< 0.1%
9 3
 
< 0.1%
Other values (11) 16
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69089
60.4%
Hangul 45381
39.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48537
70.3%
* 18051
 
26.1%
- 2198
 
3.2%
, 55
 
0.1%
B 51
 
0.1%
A 25
 
< 0.1%
L 13
 
< 0.1%
( 11
 
< 0.1%
T 11
 
< 0.1%
) 11
 
< 0.1%
Other values (37) 126
 
0.2%
Hangul
ValueCountFrequency (%)
서 7325
16.1%
초 4358
 
9.6%
동 3043
 
6.7%
시 2901
 
6.4%
구 2891
 
6.4%
울 2886
 
6.4%
별 2875
 
6.3%
특 2873
 
6.3%
호 1503
 
3.3%
빌 1435
 
3.2%
Other values (358) 13291
29.3%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%

도로명주소
Text

MISSING 

Distinct1151
Distinct (%)87.5%
Missing1920
Missing (%)59.3%
Memory size25.4 KiB
2024-05-11T14:24:43.005332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length51
Mean length34.867021
Min length21

Characters and Unicode

Total characters45885
Distinct characters373
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1033 ?
Unique (%)78.5%

Sample

1st row서울특별시 서초구 바우뫼로**길 ** (양재동)
2nd row서울특별시 서초구 마방로*길 *-**, *층 (양재동)
3rd row서울특별시 서초구 방배천로*안길 **, *층 (방배동)
4th row서울특별시 서초구 강남대로 *** (서초동)
5th row서울특별시 서초구 서초대로**길 ** (서초동)
ValueCountFrequency (%)
1361
16.1%
서울특별시 1315
15.5%
서초구 1314
15.5%
호 601
 
7.1%
층 483
 
5.7%
서초동 386
 
4.6%
방배동 215
 
2.5%
양재동 138
 
1.6%
서초대로**길 133
 
1.6%
강남대로 103
 
1.2%
Other values (953) 2412
28.5%
2024-05-11T14:24:43.724329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7476
16.3%
7147
15.6%
서 3678
 
8.0%
초 2287
 
5.0%
, 1739
 
3.8%
동 1487
 
3.2%
시 1334
 
2.9%
구 1333
 
2.9%
울 1321
 
2.9%
) 1319
 
2.9%
Other values (363) 16764
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26496
57.7%
Other Punctuation 9222
 
20.1%
Space Separator 7147
 
15.6%
Close Punctuation 1319
 
2.9%
Open Punctuation 1319
 
2.9%
Dash Punctuation 198
 
0.4%
Uppercase Letter 129
 
0.3%
Decimal Number 38
 
0.1%
Math Symbol 9
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3678
 
13.9%
초 2287
 
8.6%
동 1487
 
5.6%
시 1334
 
5.0%
구 1333
 
5.0%
울 1321
 
5.0%
별 1316
 
5.0%
특 1315
 
5.0%
로 1299
 
4.9%
길 720
 
2.7%
Other values (317) 10406
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 21
16.3%
A 18
14.0%
L 15
11.6%
S 11
8.5%
G 9
7.0%
R 9
7.0%
T 9
7.0%
E 7
 
5.4%
P 4
 
3.1%
O 4
 
3.1%
Other values (10) 22
17.1%
Decimal Number
ValueCountFrequency (%)
4 9
23.7%
1 6
15.8%
3 6
15.8%
2 6
15.8%
5 4
10.5%
0 4
10.5%
7 1
 
2.6%
6 1
 
2.6%
9 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
t 1
12.5%
k 1
12.5%
s 1
12.5%
e 1
12.5%
w 1
12.5%
r 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 7476
81.1%
, 1739
 
18.9%
/ 5
 
0.1%
? 1
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1319
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26496
57.7%
Common 19252
42.0%
Latin 137
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3678
 
13.9%
초 2287
 
8.6%
동 1487
 
5.6%
시 1334
 
5.0%
구 1333
 
5.0%
울 1321
 
5.0%
별 1316
 
5.0%
특 1315
 
5.0%
로 1299
 
4.9%
길 720
 
2.7%
Other values (317) 10406
39.3%
Latin
ValueCountFrequency (%)
B 21
15.3%
A 18
13.1%
L 15
10.9%
S 11
 
8.0%
G 9
 
6.6%
R 9
 
6.6%
T 9
 
6.6%
E 7
 
5.1%
P 4
 
2.9%
O 4
 
2.9%
Other values (17) 30
21.9%
Common
ValueCountFrequency (%)
* 7476
38.8%
7147
37.1%
, 1739
 
9.0%
) 1319
 
6.9%
( 1319
 
6.9%
- 198
 
1.0%
4 9
 
< 0.1%
~ 9
 
< 0.1%
1 6
 
< 0.1%
3 6
 
< 0.1%
Other values (9) 24
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26496
57.7%
ASCII 19389
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7476
38.6%
7147
36.9%
, 1739
 
9.0%
) 1319
 
6.8%
( 1319
 
6.8%
- 198
 
1.0%
B 21
 
0.1%
A 18
 
0.1%
L 15
 
0.1%
S 11
 
0.1%
Other values (36) 126
 
0.6%
Hangul
ValueCountFrequency (%)
서 3678
 
13.9%
초 2287
 
8.6%
동 1487
 
5.6%
시 1334
 
5.0%
구 1333
 
5.0%
울 1321
 
5.0%
별 1316
 
5.0%
특 1315
 
5.0%
로 1299
 
4.9%
길 720
 
2.7%
Other values (317) 10406
39.3%

도로명우편번호
Text

MISSING 

Distinct250
Distinct (%)33.3%
Missing2486
Missing (%)76.8%
Memory size25.4 KiB
2024-05-11T14:24:44.335618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3866667
Min length5

Characters and Unicode

Total characters4040
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

Unique100 ?
Unique (%)13.3%

Sample

1st row137131
2nd row137131
3rd row137818
4th row137061
5th row137131
ValueCountFrequency (%)
137071 46
 
6.1%
137061 26
 
3.5%
137131 24
 
3.2%
06651 13
 
1.7%
06654 10
 
1.3%
06640 10
 
1.3%
06650 10
 
1.3%
06628 10
 
1.3%
137818 10
 
1.3%
06693 9
 
1.2%
Other values (240) 582
77.6%
2024-05-11T14:24:45.198794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 820
20.3%
0 703
17.4%
7 615
15.2%
1 539
13.3%
3 452
11.2%
8 263
 
6.5%
5 229
 
5.7%
4 161
 
4.0%
2 150
 
3.7%
9 101
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4033
99.8%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 820
20.3%
0 703
17.4%
7 615
15.2%
1 539
13.4%
3 452
11.2%
8 263
 
6.5%
5 229
 
5.7%
4 161
 
4.0%
2 150
 
3.7%
9 101
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 820
20.3%
0 703
17.4%
7 615
15.2%
1 539
13.3%
3 452
11.2%
8 263
 
6.5%
5 229
 
5.7%
4 161
 
4.0%
2 150
 
3.7%
9 101
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 820
20.3%
0 703
17.4%
7 615
15.2%
1 539
13.3%
3 452
11.2%
8 263
 
6.5%
5 229
 
5.7%
4 161
 
4.0%
2 150
 
3.7%
9 101
 
2.5%

사업장명
Text

Distinct3157
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-05-11T14:24:45.636461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length29
Mean length7.8754635
Min length2

Characters and Unicode

Total characters25485
Distinct characters728
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3088 ?
Unique (%)95.4%

Sample

1st row(주)베스트월드
2nd row소렉스통상
3rd row(주)비씨아이
4th row(주)풀무원관악영업소
5th row(주)보이콤
ValueCountFrequency (%)
주식회사 235
 
6.0%
주 63
 
1.6%
인셀덤 16
 
0.4%
알즈너코리아 11
 
0.3%
코리아 9
 
0.2%
주)원전커머스 7
 
0.2%
유한회사 7
 
0.2%
서초대리점 7
 
0.2%
인터내셔날 5
 
0.1%
이롬 5
 
0.1%
Other values (3358) 3558
90.7%
2024-05-11T14:24:46.717733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1818
 
7.1%
) 1620
 
6.4%
( 1603
 
6.3%
이 944
 
3.7%
스 732
 
2.9%
691
 
2.7%
리 532
 
2.1%
아 491
 
1.9%
사 476
 
1.9%
에 355
 
1.4%
Other values (718) 16223
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20743
81.4%
Close Punctuation 1620
 
6.4%
Open Punctuation 1603
 
6.3%
Space Separator 691
 
2.7%
Uppercase Letter 460
 
1.8%
Lowercase Letter 227
 
0.9%
Decimal Number 60
 
0.2%
Other Punctuation 54
 
0.2%
Dash Punctuation 15
 
0.1%
Other Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1818
 
8.8%
이 944
 
4.6%
스 732
 
3.5%
리 532
 
2.6%
아 491
 
2.4%
사 476
 
2.3%
에 355
 
1.7%
회 282
 
1.4%
식 278
 
1.3%
지 274
 
1.3%
Other values (648) 14561
70.2%
Uppercase Letter
ValueCountFrequency (%)
S 43
 
9.3%
E 36
 
7.8%
K 32
 
7.0%
T 28
 
6.1%
A 27
 
5.9%
B 26
 
5.7%
L 25
 
5.4%
C 25
 
5.4%
M 23
 
5.0%
O 23
 
5.0%
Other values (15) 172
37.4%
Lowercase Letter
ValueCountFrequency (%)
e 28
12.3%
o 25
11.0%
a 23
10.1%
n 20
 
8.8%
t 20
 
8.8%
r 14
 
6.2%
i 14
 
6.2%
l 12
 
5.3%
m 11
 
4.8%
g 6
 
2.6%
Other values (14) 54
23.8%
Decimal Number
ValueCountFrequency (%)
1 17
28.3%
2 16
26.7%
3 9
15.0%
0 7
11.7%
5 5
 
8.3%
8 3
 
5.0%
6 2
 
3.3%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 31
57.4%
& 16
29.6%
, 4
 
7.4%
' 1
 
1.9%
? 1
 
1.9%
＆ 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1620
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1603
100.0%
Space Separator
ValueCountFrequency (%)
691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20749
81.4%
Common 4045
 
15.9%
Latin 687
 
2.7%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1818
 
8.8%
이 944
 
4.5%
스 732
 
3.5%
리 532
 
2.6%
아 491
 
2.4%
사 476
 
2.3%
에 355
 
1.7%
회 282
 
1.4%
식 278
 
1.3%
지 274
 
1.3%
Other values (645) 14567
70.2%
Latin
ValueCountFrequency (%)
S 43
 
6.3%
E 36
 
5.2%
K 32
 
4.7%
T 28
 
4.1%
e 28
 
4.1%
A 27
 
3.9%
B 26
 
3.8%
o 25
 
3.6%
L 25
 
3.6%
C 25
 
3.6%
Other values (39) 392
57.1%
Common
ValueCountFrequency (%)
) 1620
40.0%
( 1603
39.6%
691
17.1%
. 31
 
0.8%
1 17
 
0.4%
& 16
 
0.4%
2 16
 
0.4%
- 15
 
0.4%
3 9
 
0.2%
0 7
 
0.2%
Other values (10) 20
 
0.5%
Han
ValueCountFrequency (%)
相 1
25.0%
生 1
25.0%
企 1
25.0%
業 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20738
81.4%
ASCII 4731
 
18.6%
None 11
 
< 0.1%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1818
 
8.8%
이 944
 
4.6%
스 732
 
3.5%
리 532
 
2.6%
아 491
 
2.4%
사 476
 
2.3%
에 355
 
1.7%
회 282
 
1.4%
식 278
 
1.3%
지 274
 
1.3%
Other values (643) 14556
70.2%
ASCII
ValueCountFrequency (%)
) 1620
34.2%
( 1603
33.9%
691
14.6%
S 43
 
0.9%
E 36
 
0.8%
K 32
 
0.7%
. 31
 
0.7%
T 28
 
0.6%
e 28
 
0.6%
A 27
 
0.6%
Other values (58) 592
 
12.5%
None
ValueCountFrequency (%)
㈜ 10
90.9%
＆ 1
 
9.1%
CJK
ValueCountFrequency (%)
相 1
25.0%
生 1
25.0%
企 1
25.0%
業 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%

최종수정일자
Date

Distinct1970
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum2007-07-18 14:15:14
Maximum2024-05-03 13:30:46
2024-05-11T14:24:46.972658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:47.263525image/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 size25.4 KiB
I
2709 
U
527 

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 2709
83.7%
U 527
 
16.3%

Length

2024-05-11T14:24:47.510001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:47.674121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2709
83.7%
u 527
 
16.3%

데이터갱신일자
Date

Distinct303
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:24:47.859160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:48.120096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3236
Missing (%)100.0%
Memory size28.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING  SKEWED 

Distinct899
Distinct (%)67.4%
Missing1902
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean201378.53
Minimum198349.16
Maximum410956.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-05-11T14:24:48.413310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198349.16
5-th percentile198490.66
Q1199837.57
median201366.73
Q3202437.69
95-th percentile203752.65
Maximum410956.06
Range212606.9
Interquartile range (IQR)2600.1234

Descriptive statistics

Standard deviation5970.657
Coefficient of variation (CV)0.029648926
Kurtosis1140.9791
Mean201378.53
Median Absolute Deviation (MAD)1137.1397
Skewness32.486697
Sum2.6863895 × 108
Variance35648746
MonotonicityNot monotonic
2024-05-11T14:24:48.653188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201501.672660443 14
 
0.4%
200886.032544788 11
 
0.3%
202623.297219041 10
 
0.3%
202745.766173649 10
 
0.3%
202459.257859185 10
 
0.3%
200976.965811773 9
 
0.3%
201070.374374053 9
 
0.3%
201213.64069933 9
 
0.3%
200214.828933969 8
 
0.2%
202436.50368838 8
 
0.2%
Other values (889) 1236
38.2%
(Missing) 1902
58.8%
ValueCountFrequency (%)
198349.158592224 2
 
0.1%
198351.955 2
 
0.1%
198352.675 1
 
< 0.1%
198355.846023337 5
0.2%
198356.006840205 1
 
< 0.1%
198358.525854925 1
 
< 0.1%
198358.536839066 4
0.1%
198359.105676344 1
 
< 0.1%
198370.2435 1
 
< 0.1%
198380.114292953 1
 
< 0.1%
ValueCountFrequency (%)
410956.055910194 1
< 0.1%
207671.697946847 1
< 0.1%
207367.089538074 1
< 0.1%
206161.92827043 1
< 0.1%
205822.249004432 1
< 0.1%
205634.311119598 1
< 0.1%
205551.833136802 1
< 0.1%
205535.0 1
< 0.1%
205387.521568737 1
< 0.1%
205126.905525484 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct899
Distinct (%)67.4%
Missing1902
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean442693.17
Minimum229315.44
Maximum446268.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-05-11T14:24:48.858683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum229315.44
5-th percentile440939.43
Q1442204.7
median442757.11
Q3443437.25
95-th percentile445334.31
Maximum446268.29
Range216952.85
Interquartile range (IQR)1232.5496

Descriptive statistics

Standard deviation5977.7531
Coefficient of variation (CV)0.013503152
Kurtosis1220.4032
Mean442693.17
Median Absolute Deviation (MAD)648.45578
Skewness-34.166437
Sum5.9055268 × 108
Variance35733532
MonotonicityNot monotonic
2024-05-11T14:24:49.101557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442505.573142545 14
 
0.4%
442481.68257248 11
 
0.3%
443154.964346798 10
 
0.3%
442884.030782974 10
 
0.3%
443620.263219246 10
 
0.3%
442218.566296199 9
 
0.3%
442706.851934959 9
 
0.3%
442739.647017252 9
 
0.3%
442206.118999192 8
 
0.2%
443680.004067596 8
 
0.2%
Other values (889) 1236
38.2%
(Missing) 1902
58.8%
ValueCountFrequency (%)
229315.443803811 1
< 0.1%
437675.777761649 1
< 0.1%
437968.892025771 1
< 0.1%
438247.940519369 1
< 0.1%
438326.153579055 1
< 0.1%
438442.592445398 1
< 0.1%
438521.810569305 1
< 0.1%
438769.485852873 1
< 0.1%
438788.074584636 1
< 0.1%
438815.248341543 1
< 0.1%
ValueCountFrequency (%)
446268.294338007 2
0.1%
446150.216745339 2
0.1%
446144.110278895 1
< 0.1%
446115.079072598 2
0.1%
446105.536208478 1
< 0.1%
446100.917105583 2
0.1%
446094.650854533 2
0.1%
446073.545845565 1
< 0.1%
446071.552127846 2
0.1%
445977.856273032 1
< 0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct282
Distinct (%)38.1%
Missing2495
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean1.2040498 × 1011
Minimum0
Maximum8.50712 × 1013
Zeros271
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-05-11T14:24:49.338759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q32.0824038 × 108
95-th percentile5.1243296 × 109
Maximum8.50712 × 1013
Range8.50712 × 1013
Interquartile range (IQR)2.0824038 × 108

Descriptive statistics

Standard deviation3.1257763 × 1012
Coefficient of variation (CV)25.960523
Kurtosis740.22572
Mean1.2040498 × 1011
Median Absolute Deviation (MAD)50000000
Skewness27.200276
Sum8.9220094 × 1013
Variance9.7704777 × 1024
MonotonicityNot monotonic
2024-05-11T14:24:49.613521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 271
 
8.4%
50000000 52
 
1.6%
100000000 36
 
1.1%
10000000 22
 
0.7%
200000000 13
 
0.4%
300000000 12
 
0.4%
150000000 12
 
0.4%
30000000 10
 
0.3%
20000000 9
 
0.3%
500000000 6
 
0.2%
Other values (272) 298
 
9.2%
(Missing) 2495
77.1%
ValueCountFrequency (%)
0 271
8.4%
122664 1
 
< 0.1%
690180 1
 
< 0.1%
1000000 4
 
0.1%
1500000 1
 
< 0.1%
3000000 3
 
0.1%
5000000 4
 
0.1%
6550576 1
 
< 0.1%
7000000 1
 
< 0.1%
7500000 1
 
< 0.1%
ValueCountFrequency (%)
85071200000000 1
< 0.1%
1815771000000 1
< 0.1%
441200000000 1
< 0.1%
409955676717 1
< 0.1%
221986445184 1
< 0.1%
176974654946 1
< 0.1%
87640218284 1
< 0.1%
80949539642 1
< 0.1%
77982024885 1
< 0.1%
76659886491 1
< 0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct235
Distinct (%)31.8%
Missing2498
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean7.9554298 × 1010
Minimum0
Maximum5.626344 × 1013
Zeros474
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-05-11T14:24:49.873436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q358215666
95-th percentile3.5034323 × 109
Maximum5.626344 × 1013
Range5.626344 × 1013
Interquartile range (IQR)58215666

Descriptive statistics

Standard deviation2.0719049 × 1012
Coefficient of variation (CV)26.043909
Kurtosis736.65484
Mean7.9554298 × 1010
Median Absolute Deviation (MAD)0
Skewness27.129779
Sum5.8711072 × 1013
Variance4.2927898 × 1024
MonotonicityNot monotonic
2024-05-11T14:24:50.106563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 474
 
14.6%
50000000 6
 
0.2%
30000000 5
 
0.2%
300000000 5
 
0.2%
100000000 5
 
0.2%
200000000 4
 
0.1%
5000000 4
 
0.1%
10000000 3
 
0.1%
20000000 3
 
0.1%
143170117 2
 
0.1%
Other values (225) 227
 
7.0%
(Missing) 2498
77.2%
ValueCountFrequency (%)
0 474
14.6%
155998 1
 
< 0.1%
500000 1
 
< 0.1%
1000000 1
 
< 0.1%
1030000 1
 
< 0.1%
1340444 1
 
< 0.1%
1400000 1
 
< 0.1%
3951240 1
 
< 0.1%
4525500 1
 
< 0.1%
4852950 1
 
< 0.1%
ValueCountFrequency (%)
56263440000000 1
< 0.1%
1688331000000 1
< 0.1%
111446657971 1
< 0.1%
66932838560 1
< 0.1%
62003117531 1
< 0.1%
57200000000 1
< 0.1%
47581875658 1
< 0.1%
28427952372 1
< 0.1%
28244726693 1
< 0.1%
25978684919 1
< 0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct149
Distinct (%)20.1%
Missing2493
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean4.6001292 × 109
Minimum-1.2087956 × 109
Maximum1.75587 × 1012
Zeros68
Zeros (%)2.1%
Negative5
Negative (%)0.2%
Memory size28.6 KiB
2024-05-11T14:24:50.369714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.2087956 × 109
5-th percentile0
Q130000000
median50000000
Q31.5 × 108
95-th percentile2.7603333 × 109
Maximum1.75587 × 1012
Range1.7570788 × 1012
Interquartile range (IQR)1.2 × 108

Descriptive statistics

Standard deviation6.8704076 × 1010
Coefficient of variation (CV)14.935249
Kurtosis575.51634
Mean4.6001292 × 109
Median Absolute Deviation (MAD)50000000
Skewness23.126442
Sum3.417896 × 1012
Variance4.7202501 × 1021
MonotonicityNot monotonic
2024-05-11T14:24:50.700706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 200
 
6.2%
100000000 107
 
3.3%
0 68
 
2.1%
10000000 46
 
1.4%
300000000 32
 
1.0%
150000000 21
 
0.6%
500000000 18
 
0.6%
200000000 18
 
0.6%
30000000 16
 
0.5%
20000000 14
 
0.4%
Other values (139) 203
 
6.3%
(Missing) 2493
77.0%
ValueCountFrequency (%)
-1208795643 1
 
< 0.1%
-1046895018 1
 
< 0.1%
-170328951 1
 
< 0.1%
-162488501 1
 
< 0.1%
-120872837 1
 
< 0.1%
0 68
2.1%
400 1
 
< 0.1%
30000 1
 
< 0.1%
100000 1
 
< 0.1%
500000 1
 
< 0.1%
ValueCountFrequency (%)
1755870000000 1
< 0.1%
500000000000 1
< 0.1%
384000000000 1
< 0.1%
127440000000 1
< 0.1%
74900000000 1
< 0.1%
65527966975 1
< 0.1%
53946380000 1
< 0.1%
52900000000 1
< 0.1%
50279847179 1
< 0.1%
23214575000 1
< 0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3236
Missing (%)100.0%
Memory size28.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03210000199632100762320000119960802<NA>3폐업3폐업처리<NA><NA><NA><NA>02 532 4758<NA><NA>서울특별시 서초구 반포동 **-*<NA><NA>(주)베스트월드2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13210000199632100762320000319960822<NA>3폐업3폐업처리<NA><NA><NA><NA>02 576 2724<NA><NA>서울특별시 서초구 양재동 ***-**<NA><NA>소렉스통상2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23210000199632100762320000419960823<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 592 4811<NA><NA>서울특별시 서초구 서초동 ****-*<NA><NA>(주)비씨아이2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33210000199632100762320000819960830<NA>3폐업3폐업처리<NA><NA><NA><NA>02 586 5404<NA><NA>서울특별시 서초구 방배동 ***-**<NA><NA>(주)풀무원관악영업소2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43210000199632100762320001119960831<NA>3폐업3폐업처리<NA><NA><NA><NA>02 583 0130<NA><NA>서울특별시 서초구 방배동 ***-**<NA><NA>(주)보이콤2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53210000199632100762320001219960831<NA>1영업/정상1정상영업<NA><NA><NA><NA>025711201<NA>137130서울특별시 서초구 양재동 *번지 **호서울특별시 서초구 바우뫼로**길 ** (양재동)137131(주)로얄퀸클럽인터내셔날2019-04-29 11:33:51U2019-05-01 02:40:00.0<NA>203633.521548442221.5348897999125193128747927986250401<NA>
63210000199632100762320001419960903<NA>3폐업3폐업처리<NA><NA><NA><NA>02 578 1567<NA><NA>서울특별시 서초구 양재동 ***-*<NA><NA>(주)삼우맥스2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73210000199632100762320001519960903<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 576 0477<NA><NA>서울특별시 서초구 양재동 ***-*서울특별시 서초구 마방로*길 *-**, *층 (양재동)137131(주)도륭2019-11-13 20:40:23U2019-11-15 02:40:00.0<NA>203801.011618441553.909836000<NA>
83210000199632100762320001719960903<NA>3폐업3폐업처리<NA><NA><NA><NA>02 545 7875<NA><NA>서울특별시 서초구 잠원동 **-** 대양빌딩 ***<NA><NA>풀무원새한남대리점2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93210000199632100762320001919960909<NA>3폐업3폐업처리<NA><NA><NA><NA>02<NA><NA>서울특별시 서초구 서초동 ****-**<NA><NA>(주)리갈유통2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
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