Overview

Dataset statistics

Number of variables29
Number of observations316
Missing cells2069
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.7 KiB
Average record size in memory248.4 B

Variable types

Categorical10
Numeric7
DateTime4
Text5
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-18801/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (79.8%)Imbalance
휴업시작일자 is highly imbalanced (93.1%)Imbalance
휴업종료일자 is highly imbalanced (93.1%)Imbalance
재개업일자 is highly imbalanced (96.9%)Imbalance
폐업일자 has 56 (17.7%) missing valuesMissing
전화번호 has 72 (22.8%) missing valuesMissing
소재지면적 has 316 (100.0%) missing valuesMissing
지번주소 has 95 (30.1%) missing valuesMissing
도로명주소 has 138 (43.7%) missing valuesMissing
도로명우편번호 has 138 (43.7%) missing valuesMissing
업태구분명 has 316 (100.0%) missing valuesMissing
좌표정보(X) has 10 (3.2%) missing valuesMissing
좌표정보(Y) has 10 (3.2%) missing valuesMissing
자산규모 has 201 (63.6%) missing valuesMissing
부채총액 has 201 (63.6%) missing valuesMissing
자본금 has 200 (63.3%) missing valuesMissing
판매방식명 has 316 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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 20 (6.3%) zerosZeros
부채총액 has 60 (19.0%) zerosZeros
자본금 has 15 (4.7%) zerosZeros

Reproduction

Analysis started2024-05-11 08:57:32.767532
Analysis finished2024-05-11 08:57:34.130096
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3240000
316 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 316
100.0%

Length

2024-05-11T08:57:34.341142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:34.656314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 316
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct316
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130709 × 1018
Minimum2.007324 × 1018
Maximum2.023324 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T08:57:34.992799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007324 × 1018
5-th percentile2.007324 × 1018
Q12.008324 × 1018
median2.012324 × 1018
Q32.017324 × 1018
95-th percentile2.021574 × 1018
Maximum2.023324 × 1018
Range1.6000015 × 1016
Interquartile range (IQR)9.000005 × 1015

Descriptive statistics

Standard deviation4.9092588 × 1015
Coefficient of variation (CV)0.0024386915
Kurtosis-0.99433378
Mean2.0130709 × 1018
Median Absolute Deviation (MAD)4.0000036 × 1015
Skewness0.44335082
Sum8.941091 × 1018
Variance2.4100821 × 1031
MonotonicityStrictly increasing
2024-05-11T08:57:35.472768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2007324013924200001 1
 
0.3%
2015324018924200006 1
 
0.3%
2015324018924200013 1
 
0.3%
2015324018924200012 1
 
0.3%
2015324018924200011 1
 
0.3%
2015324018924200010 1
 
0.3%
2015324018924200009 1
 
0.3%
2015324018924200008 1
 
0.3%
2015324018924200007 1
 
0.3%
2015324018924200005 1
 
0.3%
Other values (306) 306
96.8%
ValueCountFrequency (%)
2007324013924200001 1
0.3%
2007324013924200002 1
0.3%
2007324013924200005 1
0.3%
2007324013924200006 1
0.3%
2007324013924200009 1
0.3%
2007324013924200011 1
0.3%
2007324013924200013 1
0.3%
2007324013924200014 1
0.3%
2007324013924200015 1
0.3%
2007324013924200019 1
0.3%
ValueCountFrequency (%)
2023324028924200007 1
0.3%
2023324028924200006 1
0.3%
2023324028924200005 1
0.3%
2023324028924200004 1
0.3%
2023324028924200003 1
0.3%
2023324028924200002 1
0.3%
2023324028924200001 1
0.3%
2022324028924200001 1
0.3%
2022324028124200008 1
0.3%
2022324028124200007 1
0.3%

인허가일자
Date

Distinct289
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2002-11-22 00:00:00
Maximum2023-12-19 00:00:00
2024-05-11T08:57:35.889626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:57:36.418120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
299 
20190418
 
16
20200109
 
1

Length

Max length8
Median length4
Mean length4.2151899
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 299
94.6%
20190418 16
 
5.1%
20200109 1
 
0.3%

Length

2024-05-11T08:57:36.920376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:37.316348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
94.6%
20190418 16
 
5.1%
20200109 1
 
0.3%

영업상태코드
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3
136 
4
122 
1
49 
2
 
5
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 136
43.0%
4 122
38.6%
1 49
 
15.5%
2 5
 
1.6%
5 4
 
1.3%

Length

2024-05-11T08:57:37.732536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:38.134280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 136
43.0%
4 122
38.6%
1 49
 
15.5%
2 5
 
1.6%
5 4
 
1.3%

영업상태명
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
136 
취소/말소/만료/정지/중지
122 
영업/정상
49 
휴업
 
5
제외/삭제/전출
 
4

Length

Max length14
Median length8
Mean length7.1740506
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
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 136
43.0%
취소/말소/만료/정지/중지 122
38.6%
영업/정상 49
 
15.5%
휴업 5
 
1.6%
제외/삭제/전출 4
 
1.3%

Length

2024-05-11T08:57:38.705849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:39.131617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 136
43.0%
취소/말소/만료/정지/중지 122
38.6%
영업/정상 49
 
15.5%
휴업 5
 
1.6%
제외/삭제/전출 4
 
1.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0727848
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T08:57:39.573709image/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 deviation2.2077252
Coefficient of variation (CV)0.54206773
Kurtosis-1.3562903
Mean4.0727848
Median Absolute Deviation (MAD)1
Skewness0.29026031
Sum1287
Variance4.8740506
MonotonicityNot monotonic
2024-05-11T08:57:40.088038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 136
43.0%
7 104
32.9%
1 49
 
15.5%
4 18
 
5.7%
2 5
 
1.6%
5 4
 
1.3%
ValueCountFrequency (%)
1 49
 
15.5%
2 5
 
1.6%
3 136
43.0%
4 18
 
5.7%
5 4
 
1.3%
7 104
32.9%
ValueCountFrequency (%)
7 104
32.9%
5 4
 
1.3%
4 18
 
5.7%
3 136
43.0%
2 5
 
1.6%
1 49
 
15.5%

상세영업상태명
Categorical

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업처리
136 
직권말소
104 
정상영업
49 
직권취소
18 
휴업처리
 
5

Length

Max length6
Median length4
Mean length4.0253165
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 136
43.0%
직권말소 104
32.9%
정상영업 49
 
15.5%
직권취소 18
 
5.7%
휴업처리 5
 
1.6%
타시군구이관 4
 
1.3%

Length

2024-05-11T08:57:40.875762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:41.291301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 136
43.0%
직권말소 104
32.9%
정상영업 49
 
15.5%
직권취소 18
 
5.7%
휴업처리 5
 
1.6%
타시군구이관 4
 
1.3%

폐업일자
Date

MISSING 

Distinct140
Distinct (%)53.8%
Missing56
Missing (%)17.7%
Memory size2.6 KiB
Minimum2007-08-01 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T08:57:41.829042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:57:42.354915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
20160101
 
2
20120102
 
1
20110809
 
1
20150428
 
1

Length

Max length8
Median length4
Mean length4.0759494
Min length4

Unique

Unique4 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
98.1%
20160101 2
 
0.6%
20120102 1
 
0.3%
20110809 1
 
0.3%
20150428 1
 
0.3%
20161201 1
 
0.3%

Length

2024-05-11T08:57:42.954208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:43.368801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
98.1%
20160101 2
 
0.6%
20120102 1
 
0.3%
20110809 1
 
0.3%
20150428 1
 
0.3%
20161201 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
20201231
 
2
20121231
 
1
20150809
 
1
20200428
 
1

Length

Max length8
Median length4
Mean length4.0759494
Min length4

Unique

Unique4 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
98.1%
20201231 2
 
0.6%
20121231 1
 
0.3%
20150809 1
 
0.3%
20200428 1
 
0.3%
20171230 1
 
0.3%

Length

2024-05-11T08:57:43.897450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:44.475912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
98.1%
20201231 2
 
0.6%
20121231 1
 
0.3%
20150809 1
 
0.3%
20200428 1
 
0.3%
20171230 1
 
0.3%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
315 
20060321
 
1

Length

Max length8
Median length4
Mean length4.0126582
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 315
99.7%
20060321 1
 
0.3%

Length

2024-05-11T08:57:45.024081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:45.455542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 315
99.7%
20060321 1
 
0.3%

전화번호
Text

MISSING 

Distinct225
Distinct (%)92.2%
Missing72
Missing (%)22.8%
Memory size2.6 KiB
2024-05-11T08:57:46.428428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.7786885
Min length8

Characters and Unicode

Total characters2386
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

Unique209 ?
Unique (%)85.7%

Sample

1st row1600-6400
2nd row474-8855
3rd row477-0534
4th row477-0534
5th row471-7961
ValueCountFrequency (%)
02 4
 
1.6%
2225-2606 3
 
1.2%
02-487-3233 3
 
1.2%
488-2486 3
 
1.2%
02-6425-6225 2
 
0.8%
1600-6400 2
 
0.8%
482-8900 2
 
0.8%
484-8192 2
 
0.8%
486-1511 2
 
0.8%
02-430-8584 2
 
0.8%
Other values (224) 232
90.3%
2024-05-11T08:57:47.924490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 337
14.1%
0 330
13.8%
4 294
12.3%
2 276
11.6%
8 230
9.6%
7 202
8.5%
1 167
7.0%
6 160
6.7%
5 146
6.1%
3 134
 
5.6%
Other values (3) 110
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2034
85.2%
Dash Punctuation 337
 
14.1%
Space Separator 13
 
0.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 330
16.2%
4 294
14.5%
2 276
13.6%
8 230
11.3%
7 202
9.9%
1 167
8.2%
6 160
7.9%
5 146
7.2%
3 134
6.6%
9 95
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 337
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 337
14.1%
0 330
13.8%
4 294
12.3%
2 276
11.6%
8 230
9.6%
7 202
8.5%
1 167
7.0%
6 160
6.7%
5 146
6.1%
3 134
 
5.6%
Other values (3) 110
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 337
14.1%
0 330
13.8%
4 294
12.3%
2 276
11.6%
8 230
9.6%
7 202
8.5%
1 167
7.0%
6 160
6.7%
5 146
6.1%
3 134
 
5.6%
Other values (3) 110
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing316
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Categorical

Distinct30
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
172 
134030
46 
134020
29 
134010
21 
134050
 
7
Other values (25)
41 

Length

Max length7
Median length4
Mean length4.914557
Min length4

Unique

Unique14 ?
Unique (%)4.4%

Sample

1st row134020
2nd row134020
3rd row134020
4th row134030
5th row134030

Common Values

ValueCountFrequency (%)
<NA> 172
54.4%
134030 46
 
14.6%
134020 29
 
9.2%
134010 21
 
6.6%
134050 7
 
2.2%
134022 4
 
1.3%
134070 3
 
0.9%
134884 3
 
0.9%
134071 3
 
0.9%
134100 2
 
0.6%
Other values (20) 26
 
8.2%

Length

2024-05-11T08:57:48.604530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 172
54.4%
134030 46
 
14.6%
134020 29
 
9.2%
134010 21
 
6.6%
134050 7
 
2.2%
134022 4
 
1.3%
134070 3
 
0.9%
134884 3
 
0.9%
134071 3
 
0.9%
134090 2
 
0.6%
Other values (20) 26
 
8.2%

지번주소
Text

MISSING 

Distinct155
Distinct (%)70.1%
Missing95
Missing (%)30.1%
Memory size2.6 KiB
2024-05-11T08:57:49.244973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length26.850679
Min length13

Characters and Unicode

Total characters5934
Distinct characters165
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)57.5%

Sample

1st row서울특별시 강동구 천호동 ***번지 **호 호집빌딩 *층
2nd row서울특별시 강동구 천호동 ***번지 **호
3rd row서울특별시 강동구 천호동 ***번지 *호 유정빌딩 ***호
4th row서울특별시 강동구 성내동 ***번지 **호 *층
5th row서울특별시 강동구 성내동 ***번지 **호 *층
ValueCountFrequency (%)
서울특별시 221
17.1%
강동구 220
17.1%
호 214
16.6%
번지 176
13.7%
성내동 71
 
5.5%
층 58
 
4.5%
천호동 52
 
4.0%
길동 42
 
3.3%
40
 
3.1%
암사동 13
 
1.0%
Other values (115) 182
14.1%
2024-05-11T08:57:50.477295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1244
21.0%
1078
18.2%
동 469
 
7.9%
호 289
 
4.9%
강 231
 
3.9%
시 226
 
3.8%
울 224
 
3.8%
서 224
 
3.8%
구 222
 
3.7%
별 221
 
3.7%
Other values (155) 1506
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3552
59.9%
Other Punctuation 1245
 
21.0%
Space Separator 1078
 
18.2%
Dash Punctuation 38
 
0.6%
Decimal Number 9
 
0.2%
Uppercase Letter 8
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 469
13.2%
호 289
 
8.1%
강 231
 
6.5%
시 226
 
6.4%
울 224
 
6.3%
서 224
 
6.3%
구 222
 
6.2%
별 221
 
6.2%
특 221
 
6.2%
지 183
 
5.2%
Other values (137) 1042
29.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
E 1
 
12.5%
Y 1
 
12.5%
T 1
 
12.5%
C 1
 
12.5%
I 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
4 3
33.3%
1 2
22.2%
6 1
 
11.1%
2 1
 
11.1%
3 1
 
11.1%
9 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 1244
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3552
59.9%
Common 2374
40.0%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 469
13.2%
호 289
 
8.1%
강 231
 
6.5%
시 226
 
6.4%
울 224
 
6.3%
서 224
 
6.3%
구 222
 
6.2%
별 221
 
6.2%
특 221
 
6.2%
지 183
 
5.2%
Other values (137) 1042
29.3%
Common
ValueCountFrequency (%)
* 1244
52.4%
1078
45.4%
- 38
 
1.6%
4 3
 
0.1%
1 2
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
6 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
B 3
37.5%
E 1
 
12.5%
Y 1
 
12.5%
T 1
 
12.5%
C 1
 
12.5%
I 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3552
59.9%
ASCII 2382
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1244
52.2%
1078
45.3%
- 38
 
1.6%
B 3
 
0.1%
4 3
 
0.1%
1 2
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
E 1
 
< 0.1%
Y 1
 
< 0.1%
Other values (8) 8
 
0.3%
Hangul
ValueCountFrequency (%)
동 469
13.2%
호 289
 
8.1%
강 231
 
6.5%
시 226
 
6.4%
울 224
 
6.3%
서 224
 
6.3%
구 222
 
6.2%
별 221
 
6.2%
특 221
 
6.2%
지 183
 
5.2%
Other values (137) 1042
29.3%

도로명주소
Text

MISSING 

Distinct152
Distinct (%)85.4%
Missing138
Missing (%)43.7%
Memory size2.6 KiB
2024-05-11T08:57:51.238602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length32.404494
Min length22

Characters and Unicode

Total characters5768
Distinct characters171
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)74.2%

Sample

1st row서울특별시 강동구 구천면로 *** (천호동, 호성빌딩)
2nd row서울특별시 강동구 구천면로 *** (천호동, 호성빌딩)
3rd row서울특별시 강동구 양재대로***길 ** (길동)
4th row서울특별시 강동구 천호대로***길 ** (길동)
5th row서울특별시 강동구 진황도로**길 ** (길동)
ValueCountFrequency (%)
서울특별시 178
15.7%
강동구 176
15.5%
175
15.5%
층 75
 
6.6%
호 67
 
5.9%
성내동 50
 
4.4%
천호동 45
 
4.0%
길동 38
 
3.4%
양재대로***길 23
 
2.0%
양재대로 19
 
1.7%
Other values (132) 286
25.3%
2024-05-11T08:57:52.296349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 986
17.1%
954
16.5%
동 382
 
6.6%
구 196
 
3.4%
강 194
 
3.4%
서 181
 
3.1%
시 180
 
3.1%
울 180
 
3.1%
) 179
 
3.1%
( 179
 
3.1%
Other values (161) 2157
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3243
56.2%
Other Punctuation 1166
 
20.2%
Space Separator 954
 
16.5%
Close Punctuation 179
 
3.1%
Open Punctuation 179
 
3.1%
Dash Punctuation 17
 
0.3%
Decimal Number 15
 
0.3%
Uppercase Letter 15
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 382
 
11.8%
구 196
 
6.0%
강 194
 
6.0%
서 181
 
5.6%
시 180
 
5.6%
울 180
 
5.6%
특 178
 
5.5%
별 178
 
5.5%
로 170
 
5.2%
호 153
 
4.7%
Other values (135) 1251
38.6%
Uppercase Letter
ValueCountFrequency (%)
K 3
20.0%
B 2
13.3%
T 2
13.3%
H 2
13.3%
I 1
 
6.7%
C 1
 
6.7%
A 1
 
6.7%
Y 1
 
6.7%
E 1
 
6.7%
D 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 4
26.7%
5 3
20.0%
0 2
13.3%
3 2
13.3%
6 2
13.3%
4 1
 
6.7%
8 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 986
84.6%
, 177
 
15.2%
@ 1
 
0.1%
. 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3243
56.2%
Common 2510
43.5%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 382
 
11.8%
구 196
 
6.0%
강 194
 
6.0%
서 181
 
5.6%
시 180
 
5.6%
울 180
 
5.6%
특 178
 
5.5%
별 178
 
5.5%
로 170
 
5.2%
호 153
 
4.7%
Other values (135) 1251
38.6%
Common
ValueCountFrequency (%)
* 986
39.3%
954
38.0%
) 179
 
7.1%
( 179
 
7.1%
, 177
 
7.1%
- 17
 
0.7%
1 4
 
0.2%
5 3
 
0.1%
0 2
 
0.1%
3 2
 
0.1%
Other values (6) 7
 
0.3%
Latin
ValueCountFrequency (%)
K 3
20.0%
B 2
13.3%
T 2
13.3%
H 2
13.3%
I 1
 
6.7%
C 1
 
6.7%
A 1
 
6.7%
Y 1
 
6.7%
E 1
 
6.7%
D 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3243
56.2%
ASCII 2525
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 986
39.0%
954
37.8%
) 179
 
7.1%
( 179
 
7.1%
, 177
 
7.0%
- 17
 
0.7%
1 4
 
0.2%
5 3
 
0.1%
K 3
 
0.1%
0 2
 
0.1%
Other values (16) 21
 
0.8%
Hangul
ValueCountFrequency (%)
동 382
 
11.8%
구 196
 
6.0%
강 194
 
6.0%
서 181
 
5.6%
시 180
 
5.6%
울 180
 
5.6%
특 178
 
5.5%
별 178
 
5.5%
로 170
 
5.2%
호 153
 
4.7%
Other values (135) 1251
38.6%

도로명우편번호
Text

MISSING 

Distinct97
Distinct (%)54.5%
Missing138
Missing (%)43.7%
Memory size2.6 KiB
2024-05-11T08:57:53.013419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.241573
Min length5

Characters and Unicode

Total characters933
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

Unique56 ?
Unique (%)31.5%

Sample

1st row05246
2nd row05246
3rd row05351
4th row05354
5th row05351
ValueCountFrequency (%)
05246 7
 
3.9%
05248 6
 
3.4%
05354 6
 
3.4%
05302 5
 
2.8%
05398 5
 
2.8%
05328 5
 
2.8%
05264 4
 
2.2%
05380 4
 
2.2%
05378 4
 
2.2%
05376 4
 
2.2%
Other values (87) 128
71.9%
2024-05-11T08:57:54.210349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
20.4%
5 178
19.1%
3 153
16.4%
4 101
10.8%
8 77
8.3%
2 74
 
7.9%
1 72
 
7.7%
6 38
 
4.1%
7 33
 
3.5%
9 16
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 932
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
20.4%
5 178
19.1%
3 153
16.4%
4 101
10.8%
8 77
8.3%
2 74
 
7.9%
1 72
 
7.7%
6 38
 
4.1%
7 33
 
3.5%
9 16
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 933
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
20.4%
5 178
19.1%
3 153
16.4%
4 101
10.8%
8 77
8.3%
2 74
 
7.9%
1 72
 
7.7%
6 38
 
4.1%
7 33
 
3.5%
9 16
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 933
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
20.4%
5 178
19.1%
3 153
16.4%
4 101
10.8%
8 77
8.3%
2 74
 
7.9%
1 72
 
7.7%
6 38
 
4.1%
7 33
 
3.5%
9 16
 
1.7%

사업장명
Text

Distinct308
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T08:57:54.918897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length7.7531646
Min length2

Characters and Unicode

Total characters2450
Distinct characters330
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

Unique300 ?
Unique (%)94.9%

Sample

1st row(주0제이엔비하나티브이
2nd row신안상사
3rd row(주)드림코리아이십일
4th row(주)올웨이즈
5th row(주)올웨이즈
ValueCountFrequency (%)
주식회사 33
 
8.3%
주 11
 
2.8%
대부중개 6
 
1.5%
통신메니저 2
 
0.5%
텔레콤 2
 
0.5%
네트웍스 2
 
0.5%
지니코리아 2
 
0.5%
한국품질환경인증원 2
 
0.5%
주)대성케이디아이 2
 
0.5%
주)올웨이즈 2
 
0.5%
Other values (329) 333
83.9%
2024-05-11T08:57:56.142036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 139
 
5.7%
( 115
 
4.7%
) 114
 
4.7%
이 93
 
3.8%
83
 
3.4%
스 64
 
2.6%
사 50
 
2.0%
회 38
 
1.6%
리 38
 
1.6%
아 38
 
1.6%
Other values (320) 1678
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1945
79.4%
Uppercase Letter 139
 
5.7%
Open Punctuation 115
 
4.7%
Close Punctuation 114
 
4.7%
Space Separator 83
 
3.4%
Lowercase Letter 35
 
1.4%
Other Punctuation 12
 
0.5%
Decimal Number 5
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 139
 
7.1%
이 93
 
4.8%
스 64
 
3.3%
사 50
 
2.6%
회 38
 
2.0%
리 38
 
2.0%
아 38
 
2.0%
식 37
 
1.9%
레 36
 
1.9%
대 35
 
1.8%
Other values (268) 1377
70.8%
Uppercase Letter
ValueCountFrequency (%)
E 14
 
10.1%
M 12
 
8.6%
T 12
 
8.6%
L 9
 
6.5%
R 9
 
6.5%
S 9
 
6.5%
I 9
 
6.5%
O 9
 
6.5%
D 8
 
5.8%
A 8
 
5.8%
Other values (12) 40
28.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
14.3%
o 5
14.3%
m 3
 
8.6%
t 3
 
8.6%
f 2
 
5.7%
p 2
 
5.7%
a 2
 
5.7%
n 2
 
5.7%
c 2
 
5.7%
d 1
 
2.9%
Other values (8) 8
22.9%
Other Punctuation
ValueCountFrequency (%)
. 5
41.7%
& 4
33.3%
/ 2
 
16.7%
? 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
0 1
20.0%
1 1
20.0%
4 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1945
79.4%
Common 331
 
13.5%
Latin 174
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 139
 
7.1%
이 93
 
4.8%
스 64
 
3.3%
사 50
 
2.6%
회 38
 
2.0%
리 38
 
2.0%
아 38
 
2.0%
식 37
 
1.9%
레 36
 
1.9%
대 35
 
1.8%
Other values (268) 1377
70.8%
Latin
ValueCountFrequency (%)
E 14
 
8.0%
M 12
 
6.9%
T 12
 
6.9%
L 9
 
5.2%
R 9
 
5.2%
S 9
 
5.2%
I 9
 
5.2%
O 9
 
5.2%
D 8
 
4.6%
A 8
 
4.6%
Other values (30) 75
43.1%
Common
ValueCountFrequency (%)
( 115
34.7%
) 114
34.4%
83
25.1%
. 5
 
1.5%
& 4
 
1.2%
/ 2
 
0.6%
2 2
 
0.6%
- 2
 
0.6%
0 1
 
0.3%
1 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1945
79.4%
ASCII 505
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 139
 
7.1%
이 93
 
4.8%
스 64
 
3.3%
사 50
 
2.6%
회 38
 
2.0%
리 38
 
2.0%
아 38
 
2.0%
식 37
 
1.9%
레 36
 
1.9%
대 35
 
1.8%
Other values (268) 1377
70.8%
ASCII
ValueCountFrequency (%)
( 115
22.8%
) 114
22.6%
83
16.4%
E 14
 
2.8%
M 12
 
2.4%
T 12
 
2.4%
L 9
 
1.8%
R 9
 
1.8%
S 9
 
1.8%
I 9
 
1.8%
Other values (42) 119
23.6%

최종수정일자
Date

UNIQUE 

Distinct316
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2007-07-12 10:25:36
Maximum2024-05-07 10:05:45
2024-05-11T08:57:57.074993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:57:57.537927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
235 
U
81 

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 235
74.4%
U 81
 
25.6%

Length

2024-05-11T08:57:58.024117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:57:58.353806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 235
74.4%
u 81
 
25.6%

데이터갱신일자
Date

Distinct73
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T08:57:58.707016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:57:59.275283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing316
Missing (%)100.0%
Memory size2.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct214
Distinct (%)69.9%
Missing10
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean211718.38
Minimum203818.61
Maximum215384.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T08:57:59.704522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203818.61
5-th percentile210649
Q1211011.41
median211783.16
Q3212354.32
95-th percentile213004.43
Maximum215384.84
Range11566.23
Interquartile range (IQR)1342.91

Descriptive statistics

Standard deviation1056.6392
Coefficient of variation (CV)0.0049907769
Kurtosis16.98564
Mean211718.38
Median Absolute Deviation (MAD)660.18764
Skewness-1.7383503
Sum64785825
Variance1116486.4
MonotonicityNot monotonic
2024-05-11T08:58:00.187618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211364.05352846 8
 
2.5%
212588.317959994 8
 
2.5%
212453.914837248 7
 
2.2%
210648.995783052 7
 
2.2%
210930.104285816 6
 
1.9%
212191.260487827 4
 
1.3%
210634.358221322 4
 
1.3%
210670.952245602 4
 
1.3%
211820.878022259 4
 
1.3%
210680.495550202 3
 
0.9%
Other values (204) 251
79.4%
(Missing) 10
 
3.2%
ValueCountFrequency (%)
203818.614721827 1
 
0.3%
204555.542054896 1
 
0.3%
210553.290352325 1
 
0.3%
210558.095600946 1
 
0.3%
210575.541535172 1
 
0.3%
210613.801723814 1
 
0.3%
210622.73929089 1
 
0.3%
210634.358221322 4
1.3%
210648.995783052 7
2.2%
210651.061261548 1
 
0.3%
ValueCountFrequency (%)
215384.844269 1
0.3%
215331.019 1
0.3%
215212.94326834 1
0.3%
214830.790078856 1
0.3%
214731.479362033 1
0.3%
214695.292858761 1
0.3%
213636.934120635 1
0.3%
213584.864293281 1
0.3%
213583.137200413 1
0.3%
213360.554630915 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct213
Distinct (%)69.6%
Missing10
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean448525.09
Minimum444374
Maximum451495.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T08:58:00.796790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444374
5-th percentile447001.96
Q1447873.98
median448486.11
Q3449090.87
95-th percentile450013.05
Maximum451495.53
Range7121.5351
Interquartile range (IQR)1216.8871

Descriptive statistics

Standard deviation968.77546
Coefficient of variation (CV)0.0021599136
Kurtosis1.3719427
Mean448525.09
Median Absolute Deviation (MAD)605.05524
Skewness-0.24087418
Sum1.3724868 × 108
Variance938525.9
MonotonicityNot monotonic
2024-05-11T08:58:01.473795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449831.02984364 8
 
2.5%
448994.865229729 8
 
2.5%
448811.888382662 7
 
2.2%
449091.167481686 7
 
2.2%
448355.643094898 6
 
1.9%
447873.981033079 4
 
1.3%
449090.86816179 4
 
1.3%
447702.664835505 4
 
1.3%
449831.785568227 4
 
1.3%
448901.71116029 3
 
0.9%
Other values (203) 251
79.4%
(Missing) 10
 
3.2%
ValueCountFrequency (%)
444373.999386144 1
 
0.3%
444426.202278585 1
 
0.3%
446802.750253195 1
 
0.3%
446824.955578969 1
 
0.3%
446847.536467252 1
 
0.3%
446852.349671616 1
 
0.3%
446857.032145865 3
0.9%
446872.29983338 1
 
0.3%
446893.337244184 1
 
0.3%
446926.627141526 1
 
0.3%
ValueCountFrequency (%)
451495.534517004 1
 
0.3%
451286.427527 1
 
0.3%
451030.2633498 1
 
0.3%
450632.624020783 1
 
0.3%
450337.049756183 1
 
0.3%
450276.848244913 1
 
0.3%
450222.008091583 1
 
0.3%
450156.411631 1
 
0.3%
450146.941145682 1
 
0.3%
450143.056560723 3
0.9%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)51.3%
Missing201
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean2.4715711 × 109
Minimum0
Maximum2 × 1011
Zeros20
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T08:58:01.945717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000000
median50000000
Q32.5343502 × 108
95-th percentile1.8204649 × 109
Maximum2 × 1011
Range2 × 1011
Interquartile range (IQR)2.4343502 × 108

Descriptive statistics

Standard deviation1.92048 × 1010
Coefficient of variation (CV)7.7702801
Kurtosis100.80229
Mean2.4715711 × 109
Median Absolute Deviation (MAD)50000000
Skewness9.8645975
Sum2.8423067 × 1011
Variance3.6882433 × 1020
MonotonicityNot monotonic
2024-05-11T08:58:02.809014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
6.3%
50000000 19
 
6.0%
10000000 13
 
4.1%
100000000 3
 
0.9%
300000000 3
 
0.9%
70000000 2
 
0.6%
30000000 2
 
0.6%
1188723680 2
 
0.6%
1803784681 1
 
0.3%
25000000 1
 
0.3%
Other values (49) 49
 
15.5%
(Missing) 201
63.6%
ValueCountFrequency (%)
0 20
6.3%
5000000 1
 
0.3%
10000000 13
4.1%
11000000 1
 
0.3%
15000000 1
 
0.3%
20000000 1
 
0.3%
25000000 1
 
0.3%
29852478 1
 
0.3%
30000000 2
 
0.6%
35000000 1
 
0.3%
ValueCountFrequency (%)
200000000000 1
0.3%
51970849217 1
0.3%
2949052818 1
0.3%
2874991203 1
0.3%
2842644403 1
0.3%
1859385478 1
0.3%
1803784681 1
0.3%
1626505317 1
0.3%
1351968393 1
0.3%
1319375070 1
0.3%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)47.0%
Missing201
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean8.5903876 × 108
Minimum-40000000
Maximum7.0652349 × 1010
Zeros60
Zeros (%)19.0%
Negative1
Negative (%)0.3%
Memory size2.9 KiB
2024-05-11T08:58:03.744495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40000000
5-th percentile0
Q10
median0
Q31.5916684 × 108
95-th percentile1.1944182 × 109
Maximum7.0652349 × 1010
Range7.0692349 × 1010
Interquartile range (IQR)1.5916684 × 108

Descriptive statistics

Standard deviation6.6323456 × 109
Coefficient of variation (CV)7.7206593
Kurtosis110.32791
Mean8.5903876 × 108
Median Absolute Deviation (MAD)0
Skewness10.421262
Sum9.8789457 × 1010
Variance4.3988008 × 1019
MonotonicityNot monotonic
2024-05-11T08:58:04.439190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
 
19.0%
20000000 2
 
0.6%
636375077 2
 
0.6%
10000000 1
 
0.3%
57422799 1
 
0.3%
-40000000 1
 
0.3%
335662734 1
 
0.3%
112786000 1
 
0.3%
1100048173 1
 
0.3%
25498596 1
 
0.3%
Other values (44) 44
 
13.9%
(Missing) 201
63.6%
ValueCountFrequency (%)
-40000000 1
 
0.3%
0 60
19.0%
378370 1
 
0.3%
2000000 1
 
0.3%
2244000 1
 
0.3%
3364160 1
 
0.3%
4079999 1
 
0.3%
10000000 1
 
0.3%
12000000 1
 
0.3%
20000000 2
 
0.6%
ValueCountFrequency (%)
70652348530 1
0.3%
9533315814 1
0.3%
2128112653 1
0.3%
1213700006 1
0.3%
1209661978 1
0.3%
1200000000 1
0.3%
1192026037 1
0.3%
1100048173 1
0.3%
829027384 1
0.3%
823953482 1
0.3%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)29.3%
Missing200
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean1.4512871 × 108
Minimum-10879423
Maximum2.0459638 × 109
Zeros15
Zeros (%)4.7%
Negative1
Negative (%)0.3%
Memory size2.9 KiB
2024-05-11T08:58:05.278486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10879423
5-th percentile0
Q110000000
median50000000
Q31.0148935 × 108
95-th percentile5 × 108
Maximum2.0459638 × 109
Range2.0568432 × 109
Interquartile range (IQR)91489352

Descriptive statistics

Standard deviation3.1856453 × 108
Coefficient of variation (CV)2.1950483
Kurtosis19.038349
Mean1.4512871 × 108
Median Absolute Deviation (MAD)40000000
Skewness4.1901095
Sum1.6834931 × 1010
Variance1.0148336 × 1017
MonotonicityNot monotonic
2024-05-11T08:58:06.096052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
50000000 37
 
11.7%
10000000 18
 
5.7%
0 15
 
4.7%
100000000 4
 
1.3%
200000000 3
 
0.9%
30000000 3
 
0.9%
500000000 3
 
0.9%
400000000 3
 
0.9%
150000000 3
 
0.9%
302000000 2
 
0.6%
Other values (24) 25
 
7.9%
(Missing) 200
63.3%
ValueCountFrequency (%)
-10879423 1
 
0.3%
0 15
4.7%
3000000 1
 
0.3%
10000000 18
5.7%
11000000 1
 
0.3%
15000000 1
 
0.3%
15074917 1
 
0.3%
26488318 1
 
0.3%
30000000 3
 
0.9%
50000000 37
11.7%
ValueCountFrequency (%)
2045963819 1
 
0.3%
1650618366 1
 
0.3%
1500000000 1
 
0.3%
1481488293 1
 
0.3%
500000000 3
0.9%
480918249 1
 
0.3%
472387811 1
 
0.3%
442942949 1
 
0.3%
400000000 3
0.9%
302000000 2
0.6%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing316
Missing (%)100.0%
Memory size2.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03240000200732401392420000120070712<NA>1영업/정상1정상영업<NA><NA><NA><NA>1600-6400<NA>134020서울특별시 강동구 천호동 ***번지 **호 호집빌딩 *층<NA><NA>(주0제이엔비하나티브이2007-07-12 10:25:36I2018-08-31 23:59:59.0<NA>210970.367147449058.5548113000000000300000000<NA>
13240000200732401392420000220021122<NA>4취소/말소/만료/정지/중지7직권말소20160720<NA><NA><NA><NA><NA>134020서울특별시 강동구 천호동 ***번지 **호<NA><NA>신안상사2016-07-20 16:26:23I2018-08-31 23:59:59.0<NA>210680.49555448901.71116<NA><NA><NA><NA>
23240000200732401392420000520030123<NA>4취소/말소/만료/정지/중지7직권말소20160720<NA><NA><NA>474-8855<NA>134020서울특별시 강동구 천호동 ***번지 *호 유정빌딩 ***호<NA><NA>(주)드림코리아이십일2016-07-20 16:25:29I2018-08-31 23:59:59.0<NA>211266.256718449714.424913000<NA>
33240000200732401392420000620030208<NA>4취소/말소/만료/정지/중지7직권말소20160720<NA><NA><NA>477-0534<NA>134030서울특별시 강동구 성내동 ***번지 **호 *층<NA><NA>(주)올웨이즈2016-07-20 16:24:42I2018-08-31 23:59:59.0<NA>211629.577004446857.032146000<NA>
43240000200732401392420000920030208<NA>4취소/말소/만료/정지/중지7직권말소20160720<NA><NA><NA>477-0534<NA>134030서울특별시 강동구 성내동 ***번지 **호 *층<NA><NA>(주)올웨이즈2016-07-20 16:21:46I2018-08-31 23:59:59.0<NA>211629.577004446857.032146000<NA>
53240000200732401392420001120030630201904184취소/말소/만료/정지/중지4직권취소20190418<NA><NA><NA>471-7961<NA><NA><NA>서울특별시 강동구 구천면로 *** (천호동, 호성빌딩)05246한국족보편찬회2019-04-19 18:25:35U2019-04-21 02:40:00.0<NA>210680.49555448901.71116<NA><NA><NA><NA>
63240000200732401392420001320030724<NA>4취소/말소/만료/정지/중지7직권말소20160720<NA><NA><NA>482-7503<NA>134020서울특별시 강동구 천호동 **번지 **호 *층<NA><NA>현대정보시스템2016-07-20 16:20:49I2018-08-31 23:59:59.0<NA>212520.080299449536.615889<NA><NA><NA><NA>
73240000200732401392420001420031024201904184취소/말소/만료/정지/중지4직권취소20190418<NA><NA><NA>447-7961<NA><NA><NA>서울특별시 강동구 구천면로 *** (천호동, 호성빌딩)05246(주)매그리어2019-04-19 18:25:14U2019-04-21 02:40:00.0<NA>210680.49555448901.71116000<NA>
83240000200732401392420001520031222<NA>4취소/말소/만료/정지/중지7직권말소20160720<NA><NA><NA>478-5222<NA>134020서울특별시 강동구 천호동 ***번지 **호 트레벨 ***호<NA><NA>현대에듀텍2016-07-20 16:19:55I2018-08-31 23:59:59.0<NA>211376.044891448340.166805<NA><NA><NA><NA>
93240000200732401392420001920041026<NA>4취소/말소/만료/정지/중지7직권말소20160720<NA><NA><NA>489-5228<NA>134010서울특별시 강동구 길동 ***번지 **호 동서울빌딩 *층<NA><NA>신명종합관리(주)2016-07-20 16:19:06I2018-08-31 23:59:59.0<NA>212849.256577448496.880662000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
3063240000202232402812420000720220802<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-488-9765<NA><NA>서울특별시 강동구 성내동 ***-* 삼원빌딩서울특별시 강동구 양재대로 ****, 삼원빌딩 *층 ***-*호 (성내동)05376메디메타 주식회사(MEDIMETA CORPORATED)2022-08-02 10:57:34I2021-12-08 00:04:00.0<NA>211976.269177447462.077236<NA><NA><NA><NA>
307324000020223240281242000082022-08-16<NA>5제외/삭제/전출5타시군구이관2024-05-01<NA><NA><NA>02-2289-6271<NA><NA>서울특별시 강동구 성내동 ***-**서울특별시 강동구 올림픽로 ***, *층 (성내동)05385주식회사 나누미론2024-05-01 09:27:32U2023-12-05 00:03:00.0<NA>210740.125211448044.126218<NA><NA><NA><NA>
3083240000202232402892420000120221222<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-429-3373<NA><NA>서울특별시 강동구 고덕동 694 고덕그라시움(제4상가)서울특별시 강동구 고덕로 385, 고덕그라시움(제4상가) 105, 106호 (고덕동)05223(주)정도컴퍼니2022-12-22 10:14:48I2021-11-01 22:04:00.0<NA>214695.292859450632.624021<NA><NA><NA><NA>
3093240000202332402892420000120230120<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-*서울특별시 강동구 양재대로***길 *, *층 (길동)05352(주)디비라인2023-01-20 14:15:03I2022-11-30 22:02:00.0<NA>212268.505383448173.586011<NA><NA><NA><NA>
310324000020233240289242000022023-02-09<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-430-8584<NA><NA>서울특별시 강동구 강일동 ***-*서울특별시 강동구 아리수로**길 **-**, ***호 (강일동)05211라인미디어 주식회사2023-05-30 15:08:32U2022-12-06 00:01:00.0<NA>215212.943268451495.534517<NA><NA><NA><NA>
311324000020233240289242000032023-05-15<NA>3폐업3폐업처리2023-12-18<NA><NA><NA>02-3427-6225<NA><NA>서울특별시 강동구 명일동 ***-*서울특별시 강동구 고덕로**길 **, *층 ***호 (명일동)05257한국품질환경인증원2023-12-19 10:25:05U2022-11-01 22:01:00.0<NA>212553.803761450143.056561<NA><NA><NA><NA>
312324000020233240289242000042023-06-15<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-475-5882<NA><NA>서울특별시 강동구 천호동 **-*서울특별시 강동구 양재대로***길 **, *층 ***호 (천호동)05307오빠통신2023-06-15 10:08:26I2022-12-05 23:07:00.0<NA>212516.287713449513.156035<NA><NA><NA><NA>
313324000020233240289242000052023-03-22<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-** 동서울아카데미서울특별시 강동구 천호대로***길 **, 동서울아카데미 *층 (천호동)05248주식회사 성우생활건강2023-08-29 14:43:14I2022-12-07 21:01:00.0<NA>210852.338765448718.284718<NA><NA><NA><NA>
314324000020233240289242000062023-10-10<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-* 보성빌딩서울특별시 강동구 양재대로***길 **, 보성빌딩 *층 ***호 (길동)05302(G&H)레저2023-10-10 13:57:42I2022-10-30 23:02:00.0<NA>212588.31796448994.86523<NA><NA><NA><NA>
315324000020233240289242000072023-12-19<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-6425-6225<NA><NA>서울특별시 강동구 명일동 ***-*서울특별시 강동구 고덕로**길 ** (명일동)05257품질환경인증원2024-01-02 10:06:45U2023-12-01 00:04:00.0<NA>212553.803761450143.056561<NA><NA><NA><NA>