Overview

Dataset statistics

Number of variables29
Number of observations376
Missing cells3502
Missing cells (%)32.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.6 KiB
Average record size in memory249.4 B

Variable types

Categorical9
Numeric8
DateTime3
Unsupported4
Text5

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-18777/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (96.0%)Imbalance
휴업종료일자 is highly imbalanced (96.0%)Imbalance
데이터갱신일자 is highly imbalanced (72.4%)Imbalance
인허가취소일자 has 376 (100.0%) missing valuesMissing
폐업일자 has 45 (12.0%) missing valuesMissing
재개업일자 has 174 (46.3%) missing valuesMissing
전화번호 has 13 (3.5%) missing valuesMissing
소재지면적 has 376 (100.0%) missing valuesMissing
소재지우편번호 has 291 (77.4%) missing valuesMissing
지번주소 has 19 (5.1%) missing valuesMissing
도로명주소 has 211 (56.1%) missing valuesMissing
도로명우편번호 has 259 (68.9%) missing valuesMissing
업태구분명 has 376 (100.0%) missing valuesMissing
좌표정보(X) has 211 (56.1%) missing valuesMissing
좌표정보(Y) has 211 (56.1%) missing valuesMissing
자산규모 has 188 (50.0%) missing valuesMissing
부채총액 has 188 (50.0%) missing valuesMissing
자본금 has 188 (50.0%) missing valuesMissing
판매방식명 has 376 (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
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 123 (32.7%) zerosZeros
부채총액 has 143 (38.0%) zerosZeros
자본금 has 119 (31.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:43:42.182479
Analysis finished2024-05-11 05:43:43.012579
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3000000
376 

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 376
100.0%

Length

2024-05-11T14:43:43.102800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:43.240124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 376
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0079543 × 1018
Minimum2.0023 × 1018
Maximum2.0243 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:43.397978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0023 × 1018
5-th percentile2.0023 × 1018
Q12.0033 × 1018
median2.0063 × 1018
Q32.0123 × 1018
95-th percentile2.01855 × 1018
Maximum2.0243 × 1018
Range2.2000012 × 1016
Interquartile range (IQR)9 × 1015

Descriptive statistics

Standard deviation5.7977147 × 1015
Coefficient of variation (CV)0.0028873739
Kurtosis-0.18432785
Mean2.0079543 × 1018
Median Absolute Deviation (MAD)4 × 1015
Skewness0.91355568
Sum-1.3257018 × 1018
Variance3.3613496 × 1031
MonotonicityStrictly increasing
2024-05-11T14:43:43.580204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002300012924290001 1
 
0.3%
2009300012924200010 1
 
0.3%
2010300012924200002 1
 
0.3%
2010300012924200001 1
 
0.3%
2009300012924200021 1
 
0.3%
2009300012924200020 1
 
0.3%
2009300012924200019 1
 
0.3%
2009300012924200017 1
 
0.3%
2009300012924200016 1
 
0.3%
2009300012924200015 1
 
0.3%
Other values (366) 366
97.3%
ValueCountFrequency (%)
2002300012924290001 1
0.3%
2002300012924290002 1
0.3%
2002300012924290003 1
0.3%
2002300012924290004 1
0.3%
2002300012924290006 1
0.3%
2002300012924290007 1
0.3%
2002300012924290008 1
0.3%
2002300012924290009 1
0.3%
2002300012924290010 1
0.3%
2002300012924290011 1
0.3%
ValueCountFrequency (%)
2024300024524200002 1
0.3%
2024300024524200001 1
0.3%
2023300020224200004 1
0.3%
2023300020224200003 1
0.3%
2023300020224200002 1
0.3%
2023300020224200001 1
0.3%
2022300020224200004 1
0.3%
2022300020224200003 1
0.3%
2022300020224200002 1
0.3%
2022300020224200001 1
0.3%

인허가일자
Date

Distinct294
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2002-08-07 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T14:43:43.754915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:43.926680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing376
Missing (%)100.0%
Memory size3.4 KiB

영업상태코드
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3
172 
4
158 
1
44 
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 172
45.7%
4 158
42.0%
1 44
 
11.7%
2 1
 
0.3%
5 1
 
0.3%

Length

2024-05-11T14:43:44.093490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:44.222243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 172
45.7%
4 158
42.0%
1 44
 
11.7%
2 1
 
0.3%
5 1
 
0.3%

영업상태명
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
172 
취소/말소/만료/정지/중지
158 
영업/정상
44 
휴업
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length8
Mean length7.4095745
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 172
45.7%
취소/말소/만료/정지/중지 158
42.0%
영업/정상 44
 
11.7%
휴업 1
 
0.3%
제외/삭제/전출 1
 
0.3%

Length

2024-05-11T14:43:44.362054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:44.502511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 172
45.7%
취소/말소/만료/정지/중지 158
42.0%
영업/정상 44
 
11.7%
휴업 1
 
0.3%
제외/삭제/전출 1
 
0.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3
172 
7
158 
1
44 
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 172
45.7%
7 158
42.0%
1 44
 
11.7%
2 1
 
0.3%
5 1
 
0.3%

Length

2024-05-11T14:43:44.662088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:44.817254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 172
45.7%
7 158
42.0%
1 44
 
11.7%
2 1
 
0.3%
5 1
 
0.3%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업처리
172 
직권말소
158 
정상영업
44 
휴업처리
 
1
타시군구이관
 
1

Length

Max length6
Median length4
Mean length4.0053191
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 172
45.7%
직권말소 158
42.0%
정상영업 44
 
11.7%
휴업처리 1
 
0.3%
타시군구이관 1
 
0.3%

Length

2024-05-11T14:43:44.962950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:45.173278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 172
45.7%
직권말소 158
42.0%
정상영업 44
 
11.7%
휴업처리 1
 
0.3%
타시군구이관 1
 
0.3%

폐업일자
Date

MISSING 

Distinct177
Distinct (%)53.5%
Missing45
Missing (%)12.0%
Memory size3.1 KiB
Minimum2002-08-31 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T14:43:45.372918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:45.625302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
373 
20140101
 
1
20190531
 
1
20120821
 
1

Length

Max length8
Median length4
Mean length4.0319149
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 373
99.2%
20140101 1
 
0.3%
20190531 1
 
0.3%
20120821 1
 
0.3%

Length

2024-05-11T14:43:45.847046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:46.028250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
99.2%
20140101 1
 
0.3%
20190531 1
 
0.3%
20120821 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
373 
20141231
 
1
20221231
 
1
20320821
 
1

Length

Max length8
Median length4
Mean length4.0319149
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 373
99.2%
20141231 1
 
0.3%
20221231 1
 
0.3%
20320821 1
 
0.3%

Length

2024-05-11T14:43:46.277100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:46.429642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
99.2%
20141231 1
 
0.3%
20221231 1
 
0.3%
20320821 1
 
0.3%

재개업일자
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)65.8%
Missing174
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean20034549
Minimum20020807
Maximum20070716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:46.579868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020807
5-th percentile20020831
Q120021004
median20030406
Q320050289
95-th percentile20060907
Maximum20070716
Range49909
Interquartile range (IQR)29285.25

Descriptive statistics

Standard deviation15046.897
Coefficient of variation (CV)0.00075104749
Kurtosis-0.5260103
Mean20034549
Median Absolute Deviation (MAD)9498
Skewness0.84888514
Sum4.0469788 × 109
Variance2.2640912 × 108
MonotonicityNot monotonic
2024-05-11T14:43:46.761192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020904 11
 
2.9%
20021009 11
 
2.9%
20020924 11
 
2.9%
20020831 10
 
2.7%
20020927 4
 
1.1%
20051007 4
 
1.1%
20021210 3
 
0.8%
20021004 3
 
0.8%
20030225 3
 
0.8%
20040930 2
 
0.5%
Other values (123) 140
37.2%
(Missing) 174
46.3%
ValueCountFrequency (%)
20020807 1
 
0.3%
20020812 1
 
0.3%
20020821 2
 
0.5%
20020823 2
 
0.5%
20020830 2
 
0.5%
20020831 10
2.7%
20020904 11
2.9%
20020912 2
 
0.5%
20020916 1
 
0.3%
20020924 11
2.9%
ValueCountFrequency (%)
20070716 1
0.3%
20070712 1
0.3%
20070704 1
0.3%
20070619 1
0.3%
20070605 1
0.3%
20070323 1
0.3%
20070226 1
0.3%
20061019 1
0.3%
20060915 1
0.3%
20060911 1
0.3%

전화번호
Text

MISSING 

Distinct324
Distinct (%)89.3%
Missing13
Missing (%)3.5%
Memory size3.1 KiB
2024-05-11T14:43:47.107033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.407713
Min length1

Characters and Unicode

Total characters3778
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

Unique307 ?
Unique (%)84.6%

Sample

1st row02-3676-8600
2nd row02-725-2138
3rd row02-6324-2800
4th row02-741-2297
5th row02
ValueCountFrequency (%)
02 15
 
4.1%
9
 
2.5%
02-2238-7979 3
 
0.8%
02-2274-4119 3
 
0.8%
02-732-0202 2
 
0.5%
02-2198-5577 2
 
0.5%
02-720-9866 2
 
0.5%
02-3672-9300 2
 
0.5%
02-360-4682 2
 
0.5%
02-745-9000 2
 
0.5%
Other values (318) 325
88.6%
2024-05-11T14:43:47.659298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 692
18.3%
0 660
17.5%
- 630
16.7%
7 337
8.9%
3 291
7.7%
5 232
 
6.1%
1 224
 
5.9%
6 197
 
5.2%
4 179
 
4.7%
8 170
 
4.5%
Other values (3) 166
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3143
83.2%
Dash Punctuation 630
 
16.7%
Space Separator 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 692
22.0%
0 660
21.0%
7 337
10.7%
3 291
9.3%
5 232
 
7.4%
1 224
 
7.1%
6 197
 
6.3%
4 179
 
5.7%
8 170
 
5.4%
9 161
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 630
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3778
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 692
18.3%
0 660
17.5%
- 630
16.7%
7 337
8.9%
3 291
7.7%
5 232
 
6.1%
1 224
 
5.9%
6 197
 
5.2%
4 179
 
4.7%
8 170
 
4.5%
Other values (3) 166
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 692
18.3%
0 660
17.5%
- 630
16.7%
7 337
8.9%
3 291
7.7%
5 232
 
6.1%
1 224
 
5.9%
6 197
 
5.2%
4 179
 
4.7%
8 170
 
4.5%
Other values (3) 166
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing376
Missing (%)100.0%
Memory size3.4 KiB

소재지우편번호
Text

MISSING 

Distinct45
Distinct (%)52.9%
Missing291
Missing (%)77.4%
Memory size3.1 KiB
2024-05-11T14:43:47.952820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0117647
Min length6

Characters and Unicode

Total characters511
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

Unique27 ?
Unique (%)31.8%

Sample

1st row110124
2nd row110736
3rd row110300
4th row110410
5th row110550
ValueCountFrequency (%)
110550 15
 
17.6%
110858 5
 
5.9%
110420 4
 
4.7%
110290 3
 
3.5%
110470 3
 
3.5%
110853 3
 
3.5%
110460 3
 
3.5%
110092 2
 
2.4%
110825 2
 
2.4%
110280 2
 
2.4%
Other values (35) 43
50.6%
2024-05-11T14:43:48.373567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 195
38.2%
0 143
28.0%
5 50
 
9.8%
2 31
 
6.1%
8 28
 
5.5%
4 21
 
4.1%
7 12
 
2.3%
9 10
 
2.0%
3 10
 
2.0%
6 10
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 195
38.2%
0 143
28.0%
5 50
 
9.8%
2 31
 
6.1%
8 28
 
5.5%
4 21
 
4.1%
7 12
 
2.4%
9 10
 
2.0%
3 10
 
2.0%
6 10
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 511
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 195
38.2%
0 143
28.0%
5 50
 
9.8%
2 31
 
6.1%
8 28
 
5.5%
4 21
 
4.1%
7 12
 
2.3%
9 10
 
2.0%
3 10
 
2.0%
6 10
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 195
38.2%
0 143
28.0%
5 50
 
9.8%
2 31
 
6.1%
8 28
 
5.5%
4 21
 
4.1%
7 12
 
2.3%
9 10
 
2.0%
3 10
 
2.0%
6 10
 
2.0%

지번주소
Text

MISSING 

Distinct232
Distinct (%)65.0%
Missing19
Missing (%)5.1%
Memory size3.1 KiB
2024-05-11T14:43:48.791170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length26.87395
Min length18

Characters and Unicode

Total characters9594
Distinct characters205
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

Unique185 ?
Unique (%)51.8%

Sample

1st row서울특별시 종로구 낙원동 일반 ***-*
2nd row서울특별시 종로구 수송동 일반 **-*
3rd row서울특별시 종로구 인사동 일반번지 ***-*
4th row서울특별시 종로구 동숭동 일반 **-*
5th row서울특별시 종로구 숭인동 일반번지 ***-**
ValueCountFrequency (%)
서울특별시 357
17.9%
종로구 357
17.9%
268
13.4%
일반번지 188
9.4%
호 143
 
7.2%
번지 128
 
6.4%
숭인동 71
 
3.6%
종로*가 37
 
1.9%
층 30
 
1.5%
수송동 18
 
0.9%
Other values (157) 402
20.1%
2024-05-11T14:43:49.403641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1792
18.7%
1686
17.6%
로 420
 
4.4%
종 408
 
4.3%
서 362
 
3.8%
시 359
 
3.7%
구 358
 
3.7%
특 357
 
3.7%
별 357
 
3.7%
울 357
 
3.7%
Other values (195) 3138
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5841
60.9%
Other Punctuation 1795
 
18.7%
Space Separator 1686
 
17.6%
Dash Punctuation 221
 
2.3%
Uppercase Letter 22
 
0.2%
Lowercase Letter 20
 
0.2%
Decimal Number 5
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 420
 
7.2%
종 408
 
7.0%
서 362
 
6.2%
시 359
 
6.1%
구 358
 
6.1%
특 357
 
6.1%
별 357
 
6.1%
울 357
 
6.1%
지 350
 
6.0%
동 319
 
5.5%
Other values (167) 2194
37.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
18.2%
A 4
18.2%
N 2
9.1%
O 2
9.1%
T 2
9.1%
I 2
9.1%
E 1
 
4.5%
G 1
 
4.5%
R 1
 
4.5%
W 1
 
4.5%
Other values (2) 2
9.1%
Lowercase Letter
ValueCountFrequency (%)
c 4
20.0%
o 4
20.0%
n 4
20.0%
a 2
10.0%
i 2
10.0%
d 2
10.0%
r 2
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
9 2
40.0%
8 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1792
99.8%
, 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1686
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5841
60.9%
Common 3711
38.7%
Latin 42
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 420
 
7.2%
종 408
 
7.0%
서 362
 
6.2%
시 359
 
6.1%
구 358
 
6.1%
특 357
 
6.1%
별 357
 
6.1%
울 357
 
6.1%
지 350
 
6.0%
동 319
 
5.5%
Other values (167) 2194
37.6%
Latin
ValueCountFrequency (%)
B 4
 
9.5%
c 4
 
9.5%
o 4
 
9.5%
n 4
 
9.5%
A 4
 
9.5%
N 2
 
4.8%
a 2
 
4.8%
O 2
 
4.8%
T 2
 
4.8%
I 2
 
4.8%
Other values (9) 12
28.6%
Common
ValueCountFrequency (%)
* 1792
48.3%
1686
45.4%
- 221
 
6.0%
, 3
 
0.1%
) 2
 
0.1%
2 2
 
0.1%
9 2
 
0.1%
( 2
 
0.1%
8 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5841
60.9%
ASCII 3753
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1792
47.7%
1686
44.9%
- 221
 
5.9%
B 4
 
0.1%
c 4
 
0.1%
o 4
 
0.1%
n 4
 
0.1%
A 4
 
0.1%
, 3
 
0.1%
N 2
 
0.1%
Other values (18) 29
 
0.8%
Hangul
ValueCountFrequency (%)
로 420
 
7.2%
종 408
 
7.0%
서 362
 
6.2%
시 359
 
6.1%
구 358
 
6.1%
특 357
 
6.1%
별 357
 
6.1%
울 357
 
6.1%
지 350
 
6.0%
동 319
 
5.5%
Other values (167) 2194
37.6%

도로명주소
Text

MISSING 

Distinct148
Distinct (%)89.7%
Missing211
Missing (%)56.1%
Memory size3.1 KiB
2024-05-11T14:43:49.787351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length34.951515
Min length22

Characters and Unicode

Total characters5767
Distinct characters207
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

Unique134 ?
Unique (%)81.2%

Sample

1st row서울특별시 종로구 대학로 **, 지하*층,*층-**층 (효제동)
2nd row서울특별시 종로구 청계천로 ***, 세운상가 마열 ***호 (장사동)
3rd row서울특별시 종로구 종로 ***, *층 (종로*가, 한일빌딩)
4th row서울특별시 종로구 종로*길 ** (수송동)
5th row서울특별시 종로구 김상옥로 **, ***호 (연지동)
ValueCountFrequency (%)
서울특별시 165
15.0%
종로구 165
15.0%
165
15.0%
호 96
 
8.8%
층 56
 
5.1%
종로 28
 
2.6%
숭인동 21
 
1.9%
종로**길 17
 
1.5%
종로*가 15
 
1.4%
수송동 15
 
1.4%
Other values (190) 354
32.3%
2024-05-11T14:43:50.402574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 952
16.5%
937
16.2%
로 351
 
6.1%
종 252
 
4.4%
, 229
 
4.0%
서 168
 
2.9%
시 167
 
2.9%
( 167
 
2.9%
) 167
 
2.9%
동 165
 
2.9%
Other values (197) 2212
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3255
56.4%
Other Punctuation 1181
 
20.5%
Space Separator 937
 
16.2%
Open Punctuation 167
 
2.9%
Close Punctuation 167
 
2.9%
Dash Punctuation 23
 
0.4%
Lowercase Letter 20
 
0.3%
Uppercase Letter 14
 
0.2%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 351
 
10.8%
종 252
 
7.7%
서 168
 
5.2%
시 167
 
5.1%
동 165
 
5.1%
특 165
 
5.1%
별 165
 
5.1%
구 165
 
5.1%
울 165
 
5.1%
호 102
 
3.1%
Other values (174) 1390
42.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
20.0%
c 4
20.0%
n 4
20.0%
r 2
10.0%
d 2
10.0%
i 2
10.0%
a 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
28.6%
K 3
21.4%
T 2
14.3%
B 2
14.3%
G 1
 
7.1%
S 1
 
7.1%
I 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
0 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 952
80.6%
, 229
 
19.4%
Space Separator
ValueCountFrequency (%)
937
100.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3255
56.4%
Common 2478
43.0%
Latin 34
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 351
 
10.8%
종 252
 
7.7%
서 168
 
5.2%
시 167
 
5.1%
동 165
 
5.1%
특 165
 
5.1%
별 165
 
5.1%
구 165
 
5.1%
울 165
 
5.1%
호 102
 
3.1%
Other values (174) 1390
42.7%
Latin
ValueCountFrequency (%)
o 4
11.8%
c 4
11.8%
n 4
11.8%
A 4
11.8%
K 3
8.8%
r 2
 
5.9%
d 2
 
5.9%
i 2
 
5.9%
a 2
 
5.9%
T 2
 
5.9%
Other values (4) 5
14.7%
Common
ValueCountFrequency (%)
* 952
38.4%
937
37.8%
, 229
 
9.2%
( 167
 
6.7%
) 167
 
6.7%
- 23
 
0.9%
2 1
 
< 0.1%
0 1
 
< 0.1%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3255
56.4%
ASCII 2512
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 952
37.9%
937
37.3%
, 229
 
9.1%
( 167
 
6.6%
) 167
 
6.6%
- 23
 
0.9%
o 4
 
0.2%
c 4
 
0.2%
n 4
 
0.2%
A 4
 
0.2%
Other values (13) 21
 
0.8%
Hangul
ValueCountFrequency (%)
로 351
 
10.8%
종 252
 
7.7%
서 168
 
5.2%
시 167
 
5.1%
동 165
 
5.1%
특 165
 
5.1%
별 165
 
5.1%
구 165
 
5.1%
울 165
 
5.1%
호 102
 
3.1%
Other values (174) 1390
42.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)56.4%
Missing259
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean50863.573
Minimum3055
Maximum110888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:50.639435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3055
5-th percentile3085.6
Q13131
median3184
Q3110420
95-th percentile110853
Maximum110888
Range107833
Interquartile range (IQR)107289

Descriptive statistics

Standard deviation53589.516
Coefficient of variation (CV)1.0535932
Kurtosis-1.9827981
Mean50863.573
Median Absolute Deviation (MAD)98
Skewness0.22656657
Sum5951038
Variance2.8718363 × 109
MonotonicityNot monotonic
2024-05-11T14:43:51.158608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3129 7
 
1.9%
3150 6
 
1.6%
110825 6
 
1.6%
3115 6
 
1.6%
3157 5
 
1.3%
110853 4
 
1.1%
3149 3
 
0.8%
3075 3
 
0.8%
110070 3
 
0.8%
110858 3
 
0.8%
Other values (56) 71
 
18.9%
(Missing) 259
68.9%
ValueCountFrequency (%)
3055 1
 
0.3%
3059 1
 
0.3%
3075 3
0.8%
3084 1
 
0.3%
3086 1
 
0.3%
3092 1
 
0.3%
3100 1
 
0.3%
3105 1
 
0.3%
3115 6
1.6%
3116 2
 
0.5%
ValueCountFrequency (%)
110888 2
 
0.5%
110858 3
0.8%
110853 4
1.1%
110833 1
 
0.3%
110829 2
 
0.5%
110826 1
 
0.3%
110825 6
1.6%
110786 1
 
0.3%
110763 1
 
0.3%
110761 1
 
0.3%

사업장명
Text

Distinct365
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T14:43:51.485542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.5106383
Min length2

Characters and Unicode

Total characters2824
Distinct characters372
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)94.1%

Sample

1st row국가고시연수원
2nd row연합M&B
3rd row케이티시스템
4th row일신린포스
5th row미래식품
ValueCountFrequency (%)
주 20
 
4.3%
주식회사 19
 
4.1%
company 3
 
0.7%
도서출판 3
 
0.7%
주)이드림멀티캠퍼스 2
 
0.4%
공팔공프리텔 2
 
0.4%
대부중개 2
 
0.4%
에듀피디 2
 
0.4%
gargantuan 2
 
0.4%
행정사 2
 
0.4%
Other values (393) 404
87.6%
2024-05-11T14:43:52.031593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 145
 
5.1%
) 132
 
4.7%
( 104
 
3.7%
이 93
 
3.3%
85
 
3.0%
스 66
 
2.3%
한 53
 
1.9%
국 52
 
1.8%
사 50
 
1.8%
회 40
 
1.4%
Other values (362) 2004
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2310
81.8%
Close Punctuation 132
 
4.7%
Open Punctuation 104
 
3.7%
Uppercase Letter 104
 
3.7%
Space Separator 85
 
3.0%
Lowercase Letter 64
 
2.3%
Decimal Number 11
 
0.4%
Other Punctuation 9
 
0.3%
Other Symbol 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 145
 
6.3%
이 93
 
4.0%
스 66
 
2.9%
한 53
 
2.3%
국 52
 
2.3%
사 50
 
2.2%
회 40
 
1.7%
아 39
 
1.7%
에 34
 
1.5%
인 32
 
1.4%
Other values (309) 1706
73.9%
Uppercase Letter
ValueCountFrequency (%)
S 16
15.4%
K 13
12.5%
E 8
 
7.7%
M 7
 
6.7%
B 6
 
5.8%
C 6
 
5.8%
J 5
 
4.8%
A 5
 
4.8%
R 5
 
4.8%
N 5
 
4.8%
Other values (11) 28
26.9%
Lowercase Letter
ValueCountFrequency (%)
a 11
17.2%
n 7
10.9%
r 5
 
7.8%
o 5
 
7.8%
t 4
 
6.2%
e 3
 
4.7%
m 3
 
4.7%
g 3
 
4.7%
p 3
 
4.7%
u 3
 
4.7%
Other values (11) 17
26.6%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
2 4
36.4%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 5
55.6%
. 4
44.4%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2313
81.9%
Common 343
 
12.1%
Latin 168
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 145
 
6.3%
이 93
 
4.0%
스 66
 
2.9%
한 53
 
2.3%
국 52
 
2.2%
사 50
 
2.2%
회 40
 
1.7%
아 39
 
1.7%
에 34
 
1.5%
인 32
 
1.4%
Other values (310) 1709
73.9%
Latin
ValueCountFrequency (%)
S 16
 
9.5%
K 13
 
7.7%
a 11
 
6.5%
E 8
 
4.8%
n 7
 
4.2%
M 7
 
4.2%
B 6
 
3.6%
C 6
 
3.6%
J 5
 
3.0%
A 5
 
3.0%
Other values (32) 84
50.0%
Common
ValueCountFrequency (%)
) 132
38.5%
( 104
30.3%
85
24.8%
1 6
 
1.7%
& 5
 
1.5%
2 4
 
1.2%
. 4
 
1.2%
4 1
 
0.3%
- 1
 
0.3%
` 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2310
81.8%
ASCII 511
 
18.1%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 145
 
6.3%
이 93
 
4.0%
스 66
 
2.9%
한 53
 
2.3%
국 52
 
2.3%
사 50
 
2.2%
회 40
 
1.7%
아 39
 
1.7%
에 34
 
1.5%
인 32
 
1.4%
Other values (309) 1706
73.9%
ASCII
ValueCountFrequency (%)
) 132
25.8%
( 104
20.4%
85
16.6%
S 16
 
3.1%
K 13
 
2.5%
a 11
 
2.2%
E 8
 
1.6%
n 7
 
1.4%
M 7
 
1.4%
B 6
 
1.2%
Other values (42) 122
23.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2011-11-24 14:51:00
Maximum2024-04-12 16:31:52
2024-05-11T14:43:52.230068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:52.494050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
326 
U
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 326
86.7%
U 50
 
13.3%

Length

2024-05-11T14:43:52.661738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:52.832101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 326
86.7%
u 50
 
13.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct46
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2018-08-31 23:59:59.0
313 
2019-12-11 02:40:00.0
 
8
2019-11-07 02:40:00.0
 
3
2018-10-12 23:59:59.0
 
3
2019-05-16 02:40:00.0
 
3
Other values (41)
46 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique37 ?
Unique (%)9.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2019-12-11 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 313
83.2%
2019-12-11 02:40:00.0 8
 
2.1%
2019-11-07 02:40:00.0 3
 
0.8%
2018-10-12 23:59:59.0 3
 
0.8%
2019-05-16 02:40:00.0 3
 
0.8%
2018-11-09 02:37:40.0 3
 
0.8%
2019-11-23 02:40:00.0 2
 
0.5%
2023-12-03 23:04:00.0 2
 
0.5%
2018-10-15 23:59:59.0 2
 
0.5%
2019-02-28 02:40:00.0 1
 
0.3%
Other values (36) 36
 
9.6%

Length

2024-05-11T14:43:53.054678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 319
42.4%
2018-08-31 313
41.6%
02:40:00.0 28
 
3.7%
2019-12-11 8
 
1.1%
2019-11-07 3
 
0.4%
2018-10-12 3
 
0.4%
2019-05-16 3
 
0.4%
2018-11-09 3
 
0.4%
02:37:40.0 3
 
0.4%
23:04:00.0 3
 
0.4%
Other values (58) 66
 
8.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing376
Missing (%)100.0%
Memory size3.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)60.6%
Missing211
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean199414.41
Minimum196518.95
Maximum201962.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:53.248322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196518.95
5-th percentile197310.23
Q1198204.84
median198952.5
Q3200278.49
95-th percentile201850.46
Maximum201962.63
Range5443.6792
Interquartile range (IQR)2073.6552

Descriptive statistics

Standard deviation1555.8749
Coefficient of variation (CV)0.0078022189
Kurtosis-1.0552138
Mean199414.41
Median Absolute Deviation (MAD)1013.5221
Skewness0.35334337
Sum32903378
Variance2420746.7
MonotonicityNot monotonic
2024-05-11T14:43:53.457408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198324.653631679 11
 
2.9%
201850.462764525 10
 
2.7%
198150.300374121 8
 
2.1%
201809.67645682 8
 
2.1%
197567.747824202 4
 
1.1%
199914.775758708 4
 
1.1%
197301.12614106 3
 
0.8%
200008.831492823 3
 
0.8%
200072.378101828 3
 
0.8%
198805.617234082 3
 
0.8%
Other values (90) 108
28.7%
(Missing) 211
56.1%
ValueCountFrequency (%)
196518.949797615 1
 
0.3%
196686.253040457 2
0.5%
196810.084509451 1
 
0.3%
196812.24262726 1
 
0.3%
197181.393301659 1
 
0.3%
197301.12614106 3
0.8%
197346.647384961 1
 
0.3%
197401.904439938 1
 
0.3%
197482.205329945 1
 
0.3%
197557.974849131 2
0.5%
ValueCountFrequency (%)
201962.62904341 1
 
0.3%
201946.86632604 1
 
0.3%
201911.136750205 1
 
0.3%
201908.102083278 2
 
0.5%
201882.733697042 1
 
0.3%
201881.234237298 1
 
0.3%
201850.462764525 10
2.7%
201809.67645682 8
2.1%
201803.583341781 1
 
0.3%
201793.583461764 2
 
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)60.6%
Missing211
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean452344.38
Minimum451785.3
Maximum456414.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:53.657347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451785.3
5-th percentile451847.15
Q1452119.13
median452291.69
Q3452416.59
95-th percentile453094.74
Maximum456414.47
Range4629.1782
Interquartile range (IQR)297.46489

Descriptive statistics

Standard deviation480.31688
Coefficient of variation (CV)0.0010618389
Kurtosis32.119519
Mean452344.38
Median Absolute Deviation (MAD)165.40382
Skewness4.4551183
Sum74636823
Variance230704.3
MonotonicityNot monotonic
2024-05-11T14:43:53.877346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452252.812389497 11
 
2.9%
452407.508781009 10
 
2.7%
452019.212642931 8
 
2.1%
452460.718015096 8
 
2.1%
452347.973860449 4
 
1.1%
452094.38368523 4
 
1.1%
451816.038182067 3
 
0.8%
452291.335627477 3
 
0.8%
452291.689518232 3
 
0.8%
452181.053949579 3
 
0.8%
Other values (90) 108
28.7%
(Missing) 211
56.1%
ValueCountFrequency (%)
451785.296574342 1
 
0.3%
451797.477709718 1
 
0.3%
451811.272474605 2
0.5%
451816.038182067 3
0.8%
451826.346589316 1
 
0.3%
451845.237292408 1
 
0.3%
451854.820889784 1
 
0.3%
451875.310645472 1
 
0.3%
451888.555001545 1
 
0.3%
451897.798644687 1
 
0.3%
ValueCountFrequency (%)
456414.474751923 1
0.3%
454013.33417032 1
0.3%
453693.071412414 1
0.3%
453618.989692186 2
0.5%
453485.12004217 1
0.3%
453238.540020978 1
0.3%
453205.571681575 1
0.3%
453113.875178674 1
0.3%
453018.215323048 2
0.5%
452928.204610535 1
0.3%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)29.3%
Missing188
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean7.0696325 × 1010
Minimum0
Maximum1.1351914 × 1013
Zeros123
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:54.100897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q365012293
95-th percentile4.3362592 × 1010
Maximum1.1351914 × 1013
Range1.1351914 × 1013
Interquartile range (IQR)65012293

Descriptive statistics

Standard deviation8.2968778 × 1011
Coefficient of variation (CV)11.735939
Kurtosis185.69088
Mean7.0696325 × 1010
Median Absolute Deviation (MAD)0
Skewness13.589454
Sum1.3290909 × 1013
Variance6.8838181 × 1023
MonotonicityNot monotonic
2024-05-11T14:43:54.291783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123
32.7%
100000000 6
 
1.6%
1 3
 
0.8%
20000000 2
 
0.5%
10000000 2
 
0.5%
30000000 2
 
0.5%
50000000 2
 
0.5%
10880374608 1
 
0.3%
438344970 1
 
0.3%
17095827504 1
 
0.3%
Other values (45) 45
 
12.0%
(Missing) 188
50.0%
ValueCountFrequency (%)
0 123
32.7%
1 3
 
0.8%
8000 1
 
0.3%
622224 1
 
0.3%
5000000 1
 
0.3%
10000000 2
 
0.5%
10076547 1
 
0.3%
16800000 1
 
0.3%
20000000 2
 
0.5%
26836170 1
 
0.3%
ValueCountFrequency (%)
11351914000000 1
0.3%
616805801471 1
0.3%
596654862111 1
0.3%
158992231546 1
0.3%
112431774010 1
0.3%
93142944512 1
0.3%
72430551000 1
0.3%
66962861820 1
0.3%
63572197484 1
0.3%
49462000000 1
0.3%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)23.4%
Missing188
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean5.4062791 × 1010
Minimum0
Maximum9.304895 × 1012
Zeros143
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:54.482351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.3784784 × 1010
Maximum9.304895 × 1012
Range9.304895 × 1012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.7905685 × 1011
Coefficient of variation (CV)12.560521
Kurtosis187.14346
Mean5.4062791 × 1010
Median Absolute Deviation (MAD)0
Skewness13.665664
Sum1.0163805 × 1013
Variance4.611182 × 1023
MonotonicityNot monotonic
2024-05-11T14:43:54.701583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 143
38.0%
1 3
 
0.8%
17424743 1
 
0.3%
62195108531 1
 
0.3%
171317321 1
 
0.3%
9304895000000 1
 
0.3%
356833029 1
 
0.3%
503949203 1
 
0.3%
29806804 1
 
0.3%
20000000 1
 
0.3%
Other values (34) 34
 
9.0%
(Missing) 188
50.0%
ValueCountFrequency (%)
0 143
38.0%
1 3
 
0.8%
3000 1
 
0.3%
16699216 1
 
0.3%
17424743 1
 
0.3%
20000000 1
 
0.3%
29806804 1
 
0.3%
31474041 1
 
0.3%
62350094 1
 
0.3%
99730364 1
 
0.3%
ValueCountFrequency (%)
9304895000000 1
0.3%
344650812004 1
0.3%
267062625978 1
0.3%
62195108531 1
0.3%
28605000000 1
0.3%
28152811309 1
0.3%
27030403451 1
0.3%
19528194753 1
0.3%
16775585168 1
0.3%
15184741400 1
0.3%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)19.1%
Missing188
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1.2978816 × 1010
Minimum0
Maximum2.047019 × 1012
Zeros119
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T14:43:54.870673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q350000000
95-th percentile1.0018445 × 1010
Maximum2.047019 × 1012
Range2.047019 × 1012
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation1.4950765 × 1011
Coefficient of variation (CV)11.51936
Kurtosis186.13293
Mean1.2978816 × 1010
Median Absolute Deviation (MAD)0
Skewness13.611615
Sum2.4400174 × 1012
Variance2.2352538 × 1022
MonotonicityNot monotonic
2024-05-11T14:43:55.048845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 119
31.6%
50000000 12
 
3.2%
100000000 12
 
3.2%
200000000 4
 
1.1%
10000000 4
 
1.1%
1 3
 
0.8%
30000000 3
 
0.8%
150000000 2
 
0.5%
20000000 2
 
0.5%
66840100000 1
 
0.3%
Other values (26) 26
 
6.9%
(Missing) 188
50.0%
ValueCountFrequency (%)
0 119
31.6%
1 3
 
0.8%
8000 1
 
0.3%
5000000 1
 
0.3%
10000000 4
 
1.1%
10020020 1
 
0.3%
14935366 1
 
0.3%
16800000 1
 
0.3%
20000000 2
 
0.5%
30000000 3
 
0.8%
ValueCountFrequency (%)
2047019000000 1
0.3%
84278962701 1
0.3%
66840100000 1
0.3%
63920165000 1
0.3%
47434667067 1
0.3%
46796612316 1
0.3%
20857000000 1
0.3%
18605479900 1
0.3%
15000000000 1
0.3%
13301243983 1
0.3%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing376
Missing (%)100.0%
Memory size3.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03000000200230001292429000120020807<NA>4취소/말소/만료/정지/중지7직권말소20061218<NA><NA>2002080702-3676-8600<NA><NA>서울특별시 종로구 낙원동 일반 ***-*<NA><NA>국가고시연수원2017-09-12 15:00:42I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13000000200230001292429000220020809<NA>4취소/말소/만료/정지/중지7직권말소20191209<NA><NA>2002081202-725-2138<NA><NA>서울특별시 종로구 수송동 일반 **-*<NA><NA>연합M&B2019-12-09 18:38:35U2019-12-11 02:40:00.0<NA><NA><NA><NA><NA><NA><NA>
23000000200230001292429000320020821<NA>4취소/말소/만료/정지/중지7직권말소20170817<NA><NA>2002082102-6324-2800<NA><NA>서울특별시 종로구 인사동 일반번지 ***-*<NA><NA>케이티시스템2017-08-17 09:13:57I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33000000200230001292429000420020821<NA>4취소/말소/만료/정지/중지7직권말소20100317<NA><NA>2002082102-741-2297<NA><NA>서울특별시 종로구 동숭동 일반 **-*<NA><NA>일신린포스2017-09-12 14:59:43I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
43000000200230001292429000620020823<NA>3폐업3폐업처리20030123<NA><NA>2002082302<NA><NA>서울특별시 종로구 숭인동 일반번지 ***-**<NA><NA>미래식품2017-09-12 14:58:34I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53000000200230001292429000720020823<NA>4취소/말소/만료/정지/중지7직권말소20100317<NA><NA>2002082302-745-2600<NA><NA>서울특별시 종로구 연지동 일반 ***-**<NA><NA>대한교육센터2017-09-12 14:58:12I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
63000000200230001292429000820020831<NA>4취소/말소/만료/정지/중지7직권말소20140508<NA><NA>2002083002-745-7753<NA><NA>서울특별시 종로구 효제동 일반 ***-*<NA><NA>한빛2014-05-08 09:25:59I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
73000000200230001292429000920020831<NA>3폐업3폐업처리20021022<NA><NA>2002083102<NA><NA>서울특별시 종로구 숭인동 일반번지 ***-**<NA><NA>종로고시각2017-09-12 14:57:48I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83000000200230001292429001020020831<NA>1영업/정상1정상영업<NA><NA><NA>2002083102-3672-0044<NA><NA>서울특별시 종로구 효제동 **번지 지하*층,*층-**층서울특별시 종로구 대학로 **, 지하*층,*층-**층 (효제동)3122(주) 유피에이2019-11-05 16:13:39U2019-11-07 02:40:00.0<NA>200152.356894452536.5506985352638353761371052100000000<NA>
93000000200230001292429001120020831<NA>3폐업3폐업처리20021206<NA><NA>2002083102-742-2999<NA><NA>서울특별시 종로구 묘동 일반번지 ***-*<NA><NA>CAS데이터JOB2017-09-12 14:57:05I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
366300000020223000202242000012022-01-04<NA>3폐업3폐업처리2024-01-24<NA><NA><NA><NA><NA><NA>서울특별시 종로구 사직동 * 광화문 풍림스페이스본서울특별시 종로구 사직로*길 *, ***동 *층 *호 (사직동, 광화문 풍림스페이스본)3168엘지헬로우비전가입센터2024-01-23 13:11:44U2023-11-30 22:05:00.0<NA>197181.393302452458.826652<NA><NA><NA><NA>
3673000000202230002022420000220220124<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 권농동 ***-*서울특별시 종로구 율곡로**길 **(권농동)3134프리넷2022-01-25 13:43:21I2022-01-27 00:22:39.0<NA>199174.57852452524.8583000<NA>
368300000020223000202242000032022-04-06<NA>5제외/삭제/전출5타시군구이관2023-11-10<NA><NA><NA>02-6929-4230<NA><NA>서울특별시 종로구 운니동 **-* INNO** TOWER서울특별시 종로구 율곡로 **, 이노**타워 **층 (운니동)3131주식회사 빅디퍼(BIG DIPPER)2023-11-10 09:48:05U2022-10-31 23:02:00.0<NA>198952.501606452729.319337<NA><NA><NA><NA>
3693000000202230002022420000420221028<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 내수동 ** 용비어천가서울특별시 종로구 새문안로*길 **, 제*층 ***호 (내수동, 용비어천가)3173이앤엠 미디어2022-10-31 17:07:33I2021-11-01 00:02:00.0<NA>197567.747824452347.97386<NA><NA><NA><NA>
370300000020233000202242000012023-03-14<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-6470-8500<NA><NA>서울특별시 종로구 신문로*가 *** 콘코디언(concordian)서울특별시 종로구 새문안로 **, 콘코디언(concordian) *-**층 (신문로*가)3185(주)서브원2023-03-15 18:10:54I2022-12-02 23:07:00.0<NA>197557.974849451938.11526<NA><NA><NA><NA>
371300000020233000202242000022023-04-18<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-6496-7110<NA><NA>서울특별시 종로구 수송동 *** 광화문G타워서울특별시 종로구 삼봉로 **, 광화문G타워 *층 (수송동)3150동양생명금융서비스 주식회사2023-04-19 10:35:21I2022-12-03 22:01:00.0<NA>198260.063191452262.484573<NA><NA><NA><NA>
372300000020233000202242000032023-08-08<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 *-** 계우빌딩서울특별시 종로구 대학로**길 **, 계우빌딩 *층 ***호 K***호 (동숭동)3086엠앤에이치컴퍼니2023-08-14 14:37:13I2022-12-07 23:07:00.0<NA>200284.07971453238.540021<NA><NA><NA><NA>
373300000020233000202242000042023-08-25<NA>1영업/정상1정상영업<NA><NA><NA><NA>080-700-9007<NA><NA>서울특별시 종로구 신문로*가 **-** 피어선빌딩서울특별시 종로구 새문안로 **, *층 ***호 (신문로*가)3184라움2023-08-29 15:18:11U2022-12-07 21:01:00.0<NA>197301.126141451816.038182<NA><NA><NA><NA>
374300000020243000245242000012024-02-06<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3670-9600<NA><NA>서울특별시 종로구 재동 **-* 보헌빌딩서울특별시 종로구 계동길 **, 보헌빌딩 (재동)3059(주)삼양인터내셔날2024-02-08 09:54:35I2023-12-01 23:01:00.0<NA>198730.4227452928.204611<NA><NA><NA><NA>
375300000020243000245242000022024-03-25<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 16:48:26I2023-12-02 22:07:00.0<NA>199993.071594452126.285694<NA><NA><NA><NA>