Overview

Dataset statistics

Number of variables29
Number of observations1730
Missing cells12651
Missing cells (%)25.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory419.1 KiB
Average record size in memory248.1 B

Variable types

Categorical9
Numeric7
DateTime4
Text6
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-18775/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (98.8%)Imbalance
휴업시작일자 is highly imbalanced (99.1%)Imbalance
휴업종료일자 is highly imbalanced (99.1%)Imbalance
재개업일자 is highly imbalanced (99.3%)Imbalance
폐업일자 has 1138 (65.8%) missing valuesMissing
전화번호 has 221 (12.8%) missing valuesMissing
소재지면적 has 1730 (100.0%) missing valuesMissing
소재지우편번호 has 708 (40.9%) missing valuesMissing
지번주소 has 163 (9.4%) missing valuesMissing
도로명주소 has 69 (4.0%) missing valuesMissing
도로명우편번호 has 1077 (62.3%) missing valuesMissing
업태구분명 has 1730 (100.0%) missing valuesMissing
좌표정보(X) has 55 (3.2%) missing valuesMissing
좌표정보(Y) has 55 (3.2%) missing valuesMissing
자산규모 has 1325 (76.6%) missing valuesMissing
부채총액 has 1325 (76.6%) missing valuesMissing
자본금 has 1325 (76.6%) missing valuesMissing
판매방식명 has 1730 (100.0%) missing valuesMissing
자본금 is highly skewed (γ1 = 20.0358891)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 73 (4.2%) zerosZeros
부채총액 has 250 (14.5%) zerosZeros
자본금 has 45 (2.6%) zerosZeros

Reproduction

Analysis started2024-05-11 08:27:19.450581
Analysis finished2024-05-11 08:27:20.289802
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
3230000
1730 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 1730
100.0%

Length

2024-05-11T17:27:20.340685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:20.419757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 1730
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1730
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0094328 × 1018
Minimum1.996323 × 1018
Maximum2.024323 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T17:27:20.526689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996323 × 1018
5-th percentile1.999323 × 1018
Q12.003323 × 1018
median2.008323 × 1018
Q32.015323 × 1018
95-th percentile2.021323 × 1018
Maximum2.024323 × 1018
Range2.8000016 × 1016
Interquartile range (IQR)1.200001 × 1016

Descriptive statistics

Standard deviation7.0571185 × 1015
Coefficient of variation (CV)0.0035119952
Kurtosis-0.86385528
Mean2.0094328 × 1018
Median Absolute Deviation (MAD)5.0000067 × 1015
Skewness0.25238246
Sum8.3309338 × 1018
Variance4.9802922 × 1031
MonotonicityStrictly increasing
2024-05-11T17:27:20.899155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996323013123200001 1
 
0.1%
2012323019823200021 1
 
0.1%
2012323019823200034 1
 
0.1%
2012323019823200033 1
 
0.1%
2012323019823200032 1
 
0.1%
2012323019823200031 1
 
0.1%
2012323019823200030 1
 
0.1%
2012323019823200029 1
 
0.1%
2012323019823200028 1
 
0.1%
2012323019823200027 1
 
0.1%
Other values (1720) 1720
99.4%
ValueCountFrequency (%)
1996323013123200001 1
0.1%
1996323013123200002 1
0.1%
1996323013123200003 1
0.1%
1996323013123200005 1
0.1%
1996323013123200009 1
0.1%
1996323013123200019 1
0.1%
1996323013123200020 1
0.1%
1996323013123200021 1
0.1%
1996323013123200022 1
0.1%
1996323013123200024 1
0.1%
ValueCountFrequency (%)
2024323029123200009 1
0.1%
2024323029123200008 1
0.1%
2024323029123200007 1
0.1%
2024323029123200006 1
0.1%
2024323029123200005 1
0.1%
2024323029123200004 1
0.1%
2024323029123200003 1
0.1%
2024323029123200002 1
0.1%
2024323029123200001 1
0.1%
2023323029123200043 1
0.1%

인허가일자
Date

Distinct1371
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum1900-01-01 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T17:27:21.028419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:27:21.154772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1726 
20131205
 
1
20140121
 
1
20191231
 
1
20200629
 
1

Length

Max length8
Median length4
Mean length4.0092486
Min length4

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1726
99.8%
20131205 1
 
0.1%
20140121 1
 
0.1%
20191231 1
 
0.1%
20200629 1
 
0.1%

Length

2024-05-11T17:27:21.280812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:21.393856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1726
99.8%
20131205 1
 
0.1%
20140121 1
 
0.1%
20191231 1
 
0.1%
20200629 1
 
0.1%

영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
4
793 
3
583 
1
344 
5
 
9
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3
2nd row3
3rd row1
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 793
45.8%
3 583
33.7%
1 344
19.9%
5 9
 
0.5%
2 1
 
0.1%

Length

2024-05-11T17:27:21.496127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:21.603079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 793
45.8%
3 583
33.7%
1 344
19.9%
5 9
 
0.5%
2 1
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
취소/말소/만료/정지/중지
793 
폐업
583 
영업/정상
344 
제외/삭제/전출
 
9
휴업
 
1

Length

Max length14
Median length8
Mean length8.1283237
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 793
45.8%
폐업 583
33.7%
영업/정상 344
19.9%
제외/삭제/전출 9
 
0.5%
휴업 1
 
0.1%

Length

2024-05-11T17:27:21.717793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:21.812567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 793
45.8%
폐업 583
33.7%
영업/정상 344
19.9%
제외/삭제/전출 9
 
0.5%
휴업 1
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4393064
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T17:27:21.898839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q37
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4582256
Coefficient of variation (CV)0.55374091
Kurtosis-1.6617136
Mean4.4393064
Median Absolute Deviation (MAD)2
Skewness-0.095363032
Sum7680
Variance6.0428729
MonotonicityNot monotonic
2024-05-11T17:27:21.994087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 787
45.5%
3 583
33.7%
1 343
19.8%
5 9
 
0.5%
4 6
 
0.3%
2 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
1 343
19.8%
2 1
 
0.1%
3 583
33.7%
4 6
 
0.3%
5 9
 
0.5%
7 787
45.5%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
7 787
45.5%
5 9
 
0.5%
4 6
 
0.3%
3 583
33.7%
2 1
 
0.1%
1 343
19.8%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
직권말소
787 
폐업처리
583 
정상영업
343 
타시군구이관
 
9
직권취소
 
6
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.0104046
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
직권말소 787
45.5%
폐업처리 583
33.7%
정상영업 343
19.8%
타시군구이관 9
 
0.5%
직권취소 6
 
0.3%
휴업처리 1
 
0.1%
영업재개 1
 
0.1%

Length

2024-05-11T17:27:22.127348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:22.257182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직권말소 787
45.5%
폐업처리 583
33.7%
정상영업 343
19.8%
타시군구이관 9
 
0.5%
직권취소 6
 
0.3%
휴업처리 1
 
0.1%
영업재개 1
 
0.1%

폐업일자
Date

MISSING 

Distinct499
Distinct (%)84.3%
Missing1138
Missing (%)65.8%
Memory size13.6 KiB
Minimum1998-11-26 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T17:27:22.395972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:27:22.528133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1728 
20120620
 
1
20090105
 
1

Length

Max length8
Median length4
Mean length4.0046243
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> 1728
99.9%
20120620 1
 
0.1%
20090105 1
 
0.1%

Length

2024-05-11T17:27:22.656342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:22.755035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1728
99.9%
20120620 1
 
0.1%
20090105 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1728 
20130620
 
1
20091231
 
1

Length

Max length8
Median length4
Mean length4.0046243
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> 1728
99.9%
20130620 1
 
0.1%
20091231 1
 
0.1%

Length

2024-05-11T17:27:22.863922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:22.959163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1728
99.9%
20130620 1
 
0.1%
20091231 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1729 
20180903
 
1

Length

Max length8
Median length4
Mean length4.0023121
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1729
99.9%
20180903 1
 
0.1%

Length

2024-05-11T17:27:23.081004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:23.180167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1729
99.9%
20180903 1
 
0.1%

전화번호
Text

MISSING 

Distinct1365
Distinct (%)90.5%
Missing221
Missing (%)12.8%
Memory size13.6 KiB
2024-05-11T17:27:23.356365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.9768058
Min length1

Characters and Unicode

Total characters13546
Distinct characters17
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1296 ?
Unique (%)85.9%

Sample

1st row412-3754
2nd row420-2034
3rd row421-5474
4th row408-8801
5th row203-3234
ValueCountFrequency (%)
57
 
3.8%
999-9999 11
 
0.7%
999-10000 5
 
0.3%
421-2211 4
 
0.3%
050-5233-5211 3
 
0.2%
404-0784 3
 
0.2%
484-1988 3
 
0.2%
02 3
 
0.2%
02-2088-3376 3
 
0.2%
401-0805 3
 
0.2%
Other values (1361) 1423
93.7%
2024-05-11T17:27:23.703768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1952
14.4%
0 1922
14.2%
4 1745
12.9%
2 1714
12.7%
1 1267
9.4%
3 975
7.2%
5 847
6.3%
8 815
6.0%
7 773
 
5.7%
9 770
 
5.7%
Other values (7) 766
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11572
85.4%
Dash Punctuation 1952
 
14.4%
Space Separator 11
 
0.1%
Other Punctuation 6
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1922
16.6%
4 1745
15.1%
2 1714
14.8%
1 1267
10.9%
3 975
8.4%
5 847
7.3%
8 815
7.0%
7 773
6.7%
9 770
6.7%
6 744
 
6.4%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
, 2
33.3%
? 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
= 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 1952
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1952
14.4%
0 1922
14.2%
4 1745
12.9%
2 1714
12.7%
1 1267
9.4%
3 975
7.2%
5 847
6.3%
8 815
6.0%
7 773
 
5.7%
9 770
 
5.7%
Other values (7) 766
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1952
14.4%
0 1922
14.2%
4 1745
12.9%
2 1714
12.7%
1 1267
9.4%
3 975
7.2%
5 847
6.3%
8 815
6.0%
7 773
 
5.7%
9 770
 
5.7%
Other values (7) 766
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1730
Missing (%)100.0%
Memory size15.3 KiB

소재지우편번호
Text

MISSING 

Distinct86
Distinct (%)8.4%
Missing708
Missing (%)40.9%
Memory size13.6 KiB
2024-05-11T17:27:23.877539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0039139
Min length6

Characters and Unicode

Total characters6136
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

Unique47 ?
Unique (%)4.6%

Sample

1st row138220
2nd row138130
3rd row138160
4th row138160
5th row138160
ValueCountFrequency (%)
138160 158
15.5%
138220 155
15.2%
138050 136
13.3%
138170 88
8.6%
138190 85
8.3%
138200 61
 
6.0%
138224 44
 
4.3%
138180 40
 
3.9%
138130 37
 
3.6%
138110 29
 
2.8%
Other values (76) 189
18.5%
2024-05-11T17:27:24.133236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1565
25.5%
8 1157
18.9%
0 1113
18.1%
3 1069
17.4%
2 550
 
9.0%
6 192
 
3.1%
5 158
 
2.6%
7 116
 
1.9%
4 109
 
1.8%
9 103
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6132
99.9%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1565
25.5%
8 1157
18.9%
0 1113
18.2%
3 1069
17.4%
2 550
 
9.0%
6 192
 
3.1%
5 158
 
2.6%
7 116
 
1.9%
4 109
 
1.8%
9 103
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6136
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1565
25.5%
8 1157
18.9%
0 1113
18.1%
3 1069
17.4%
2 550
 
9.0%
6 192
 
3.1%
5 158
 
2.6%
7 116
 
1.9%
4 109
 
1.8%
9 103
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1565
25.5%
8 1157
18.9%
0 1113
18.1%
3 1069
17.4%
2 550
 
9.0%
6 192
 
3.1%
5 158
 
2.6%
7 116
 
1.9%
4 109
 
1.8%
9 103
 
1.7%

지번주소
Text

MISSING 

Distinct997
Distinct (%)63.6%
Missing163
Missing (%)9.4%
Memory size13.6 KiB
2024-05-11T17:27:24.365202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length68
Mean length26.93044
Min length2

Characters and Unicode

Total characters42200
Distinct characters327
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

Unique818 ?
Unique (%)52.2%

Sample

1st row서울특별시 송파구 잠실동 *번지 장미B상가***
2nd row서울특별시 송파구 석촌동 ***번지 *호
3rd row서울특별시 송파구 잠실동 ***번지 *호 ***호
4th row서울특별시 송파구 오금동 *번지 **호
5th row서울특별시 송파구 삼전동 *번지 *호 (*층)
ValueCountFrequency (%)
서울특별시 1562
17.6%
송파구 1556
17.5%
번지 1384
15.6%
호 1317
14.8%
층 317
 
3.6%
268
 
3.0%
가락동 240
 
2.7%
잠실동 227
 
2.6%
방이동 198
 
2.2%
문정동 180
 
2.0%
Other values (635) 1647
18.5%
2024-05-11T17:27:24.746176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7935
18.8%
* 7763
18.4%
파 1810
 
4.3%
송 1730
 
4.1%
동 1641
 
3.9%
시 1590
 
3.8%
서 1576
 
3.7%
울 1572
 
3.7%
별 1566
 
3.7%
구 1566
 
3.7%
Other values (317) 13451
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26134
61.9%
Space Separator 7935
 
18.8%
Other Punctuation 7796
 
18.5%
Dash Punctuation 192
 
0.5%
Uppercase Letter 68
 
0.2%
Open Punctuation 25
 
0.1%
Close Punctuation 25
 
0.1%
Decimal Number 20
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1810
 
6.9%
송 1730
 
6.6%
동 1641
 
6.3%
시 1590
 
6.1%
서 1576
 
6.0%
울 1572
 
6.0%
별 1566
 
6.0%
구 1566
 
6.0%
특 1562
 
6.0%
지 1497
 
5.7%
Other values (277) 10024
38.4%
Uppercase Letter
ValueCountFrequency (%)
B 19
27.9%
K 9
13.2%
T 6
 
8.8%
A 5
 
7.4%
C 4
 
5.9%
Y 4
 
5.9%
J 3
 
4.4%
S 3
 
4.4%
I 2
 
2.9%
E 2
 
2.9%
Other values (9) 11
16.2%
Decimal Number
ValueCountFrequency (%)
1 4
20.0%
5 4
20.0%
2 3
15.0%
7 3
15.0%
6 2
10.0%
3 1
 
5.0%
9 1
 
5.0%
4 1
 
5.0%
0 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 7763
99.6%
, 28
 
0.4%
. 3
 
< 0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
7935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26134
61.9%
Common 15996
37.9%
Latin 70
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1810
 
6.9%
송 1730
 
6.6%
동 1641
 
6.3%
시 1590
 
6.1%
서 1576
 
6.0%
울 1572
 
6.0%
별 1566
 
6.0%
구 1566
 
6.0%
특 1562
 
6.0%
지 1497
 
5.7%
Other values (277) 10024
38.4%
Latin
ValueCountFrequency (%)
B 19
27.1%
K 9
12.9%
T 6
 
8.6%
A 5
 
7.1%
C 4
 
5.7%
Y 4
 
5.7%
J 3
 
4.3%
S 3
 
4.3%
I 2
 
2.9%
E 2
 
2.9%
Other values (11) 13
18.6%
Common
ValueCountFrequency (%)
7935
49.6%
* 7763
48.5%
- 192
 
1.2%
, 28
 
0.2%
( 25
 
0.2%
) 25
 
0.2%
1 4
 
< 0.1%
5 4
 
< 0.1%
2 3
 
< 0.1%
~ 3
 
< 0.1%
Other values (9) 14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26134
61.9%
ASCII 16066
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7935
49.4%
* 7763
48.3%
- 192
 
1.2%
, 28
 
0.2%
( 25
 
0.2%
) 25
 
0.2%
B 19
 
0.1%
K 9
 
0.1%
T 6
 
< 0.1%
A 5
 
< 0.1%
Other values (30) 59
 
0.4%
Hangul
ValueCountFrequency (%)
파 1810
 
6.9%
송 1730
 
6.6%
동 1641
 
6.3%
시 1590
 
6.1%
서 1576
 
6.0%
울 1572
 
6.0%
별 1566
 
6.0%
구 1566
 
6.0%
특 1562
 
6.0%
지 1497
 
5.7%
Other values (277) 10024
38.4%

도로명주소
Text

MISSING 

Distinct1392
Distinct (%)83.8%
Missing69
Missing (%)4.0%
Memory size13.6 KiB
2024-05-11T17:27:24.978961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length63
Mean length33.311258
Min length22

Characters and Unicode

Total characters55330
Distinct characters327
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

Unique1218 ?
Unique (%)73.3%

Sample

1st row서울특별시 송파구 송파대로**길 ** (석촌동)
2nd row서울특별시 송파구 백제고분로*길 * (잠실동,***호)
3rd row서울특별시 송파구 위례성대로 *** (오금동)
4th row서울특별시 송파구 삼전로 ** (삼전동,(*층))
5th row서울특별시 송파구 삼학사로**길 **-* (석촌동,(*층))
ValueCountFrequency (%)
1719
17.6%
서울특별시 1661
17.0%
송파구 1661
17.0%
호 420
 
4.3%
층 349
 
3.6%
백제고분로**길 167
 
1.7%
문정동 146
 
1.5%
가락동 135
 
1.4%
잠실동 119
 
1.2%
오금로**길 113
 
1.2%
Other values (935) 3294
33.7%
2024-05-11T17:27:25.384223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 9334
16.9%
8515
 
15.4%
파 2108
 
3.8%
송 2065
 
3.7%
동 1888
 
3.4%
( 1688
 
3.1%
) 1688
 
3.1%
, 1685
 
3.0%
시 1685
 
3.0%
서 1673
 
3.0%
Other values (317) 23001
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31876
57.6%
Other Punctuation 11023
 
19.9%
Space Separator 8515
 
15.4%
Open Punctuation 1688
 
3.1%
Close Punctuation 1688
 
3.1%
Dash Punctuation 379
 
0.7%
Uppercase Letter 118
 
0.2%
Decimal Number 31
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 2108
 
6.6%
송 2065
 
6.5%
동 1888
 
5.9%
시 1685
 
5.3%
서 1673
 
5.2%
울 1671
 
5.2%
로 1663
 
5.2%
별 1662
 
5.2%
구 1662
 
5.2%
특 1661
 
5.2%
Other values (279) 14138
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 31
26.3%
C 14
11.9%
A 13
11.0%
T 12
 
10.2%
K 11
 
9.3%
F 6
 
5.1%
Y 5
 
4.2%
L 4
 
3.4%
E 4
 
3.4%
N 3
 
2.5%
Other values (9) 15
12.7%
Decimal Number
ValueCountFrequency (%)
2 7
22.6%
1 7
22.6%
4 5
16.1%
3 4
12.9%
0 4
12.9%
9 2
 
6.5%
5 1
 
3.2%
7 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
* 9334
84.7%
, 1685
 
15.3%
/ 3
 
< 0.1%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
8515
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 379
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31876
57.6%
Common 23334
42.2%
Latin 120
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 2108
 
6.6%
송 2065
 
6.5%
동 1888
 
5.9%
시 1685
 
5.3%
서 1673
 
5.2%
울 1671
 
5.2%
로 1663
 
5.2%
별 1662
 
5.2%
구 1662
 
5.2%
특 1661
 
5.2%
Other values (279) 14138
44.4%
Latin
ValueCountFrequency (%)
B 31
25.8%
C 14
11.7%
A 13
10.8%
T 12
 
10.0%
K 11
 
9.2%
F 6
 
5.0%
Y 5
 
4.2%
L 4
 
3.3%
E 4
 
3.3%
N 3
 
2.5%
Other values (11) 17
14.2%
Common
ValueCountFrequency (%)
* 9334
40.0%
8515
36.5%
( 1688
 
7.2%
) 1688
 
7.2%
, 1685
 
7.2%
- 379
 
1.6%
~ 10
 
< 0.1%
2 7
 
< 0.1%
1 7
 
< 0.1%
4 5
 
< 0.1%
Other values (7) 16
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31876
57.6%
ASCII 23454
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 9334
39.8%
8515
36.3%
( 1688
 
7.2%
) 1688
 
7.2%
, 1685
 
7.2%
- 379
 
1.6%
B 31
 
0.1%
C 14
 
0.1%
A 13
 
0.1%
T 12
 
0.1%
Other values (28) 95
 
0.4%
Hangul
ValueCountFrequency (%)
파 2108
 
6.6%
송 2065
 
6.5%
동 1888
 
5.9%
시 1685
 
5.3%
서 1673
 
5.2%
울 1671
 
5.2%
로 1663
 
5.2%
별 1662
 
5.2%
구 1662
 
5.2%
특 1661
 
5.2%
Other values (279) 14138
44.4%

도로명우편번호
Text

MISSING 

Distinct253
Distinct (%)38.7%
Missing1077
Missing (%)62.3%
Memory size13.6 KiB
2024-05-11T17:27:25.666491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3353752
Min length5

Characters and Unicode

Total characters3484
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

Unique127 ?
Unique (%)19.4%

Sample

1st row05663
2nd row05544
3rd row138-160
4th row05504
5th row05556
ValueCountFrequency (%)
138220 27
 
4.1%
05836 25
 
3.8%
05838 20
 
3.1%
138160 14
 
2.1%
05855 14
 
2.1%
05854 13
 
2.0%
05510 13
 
2.0%
138050 10
 
1.5%
05667 10
 
1.5%
138190 10
 
1.5%
Other values (243) 497
76.1%
2024-05-11T17:27:26.054102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 687
19.7%
0 671
19.3%
8 524
15.0%
1 401
11.5%
3 347
10.0%
6 259
 
7.4%
7 191
 
5.5%
2 168
 
4.8%
4 149
 
4.3%
9 84
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3481
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 687
19.7%
0 671
19.3%
8 524
15.1%
1 401
11.5%
3 347
10.0%
6 259
 
7.4%
7 191
 
5.5%
2 168
 
4.8%
4 149
 
4.3%
9 84
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3484
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 687
19.7%
0 671
19.3%
8 524
15.0%
1 401
11.5%
3 347
10.0%
6 259
 
7.4%
7 191
 
5.5%
2 168
 
4.8%
4 149
 
4.3%
9 84
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 687
19.7%
0 671
19.3%
8 524
15.0%
1 401
11.5%
3 347
10.0%
6 259
 
7.4%
7 191
 
5.5%
2 168
 
4.8%
4 149
 
4.3%
9 84
 
2.4%

사업장명
Text

Distinct1686
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-05-11T17:27:26.291683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length7.6716763
Min length1

Characters and Unicode

Total characters13272
Distinct characters621
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1646 ?
Unique (%)95.1%

Sample

1st row금성서적
2nd row맘모스
3rd row훼밀리프로덕스(주)
4th row청담화장품송파지점
5th row동아양행
ValueCountFrequency (%)
주식회사 175
 
7.8%
주 62
 
2.8%
인셀덤 18
 
0.8%
㈜ 13
 
0.6%
송파지사 9
 
0.4%
마임 8
 
0.4%
한불화장품 8
 
0.4%
에치와이 5
 
0.2%
송파 4
 
0.2%
한국야쿠르트 4
 
0.2%
Other values (1835) 1938
86.4%
2024-05-11T17:27:26.690037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 648
 
4.9%
515
 
3.9%
) 489
 
3.7%
이 461
 
3.5%
( 452
 
3.4%
사 342
 
2.6%
스 326
 
2.5%
리 245
 
1.8%
아 222
 
1.7%
식 209
 
1.6%
Other values (611) 9363
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11189
84.3%
Space Separator 515
 
3.9%
Close Punctuation 489
 
3.7%
Open Punctuation 452
 
3.4%
Uppercase Letter 280
 
2.1%
Lowercase Letter 202
 
1.5%
Decimal Number 49
 
0.4%
Other Symbol 48
 
0.4%
Other Punctuation 37
 
0.3%
Dash Punctuation 8
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 648
 
5.8%
이 461
 
4.1%
사 342
 
3.1%
스 326
 
2.9%
리 245
 
2.2%
아 222
 
2.0%
식 209
 
1.9%
회 202
 
1.8%
지 187
 
1.7%
에 184
 
1.6%
Other values (544) 8163
73.0%
Uppercase Letter
ValueCountFrequency (%)
A 23
 
8.2%
L 22
 
7.9%
C 22
 
7.9%
N 19
 
6.8%
S 19
 
6.8%
E 19
 
6.8%
O 15
 
5.4%
M 14
 
5.0%
I 14
 
5.0%
D 13
 
4.6%
Other values (16) 100
35.7%
Lowercase Letter
ValueCountFrequency (%)
o 20
 
9.9%
a 19
 
9.4%
e 19
 
9.4%
t 18
 
8.9%
n 16
 
7.9%
i 13
 
6.4%
u 12
 
5.9%
r 11
 
5.4%
s 10
 
5.0%
d 10
 
5.0%
Other values (12) 54
26.7%
Decimal Number
ValueCountFrequency (%)
2 15
30.6%
1 13
26.5%
0 7
14.3%
5 5
 
10.2%
6 4
 
8.2%
7 2
 
4.1%
3 2
 
4.1%
9 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 17
45.9%
& 13
35.1%
, 6
 
16.2%
; 1
 
2.7%
Space Separator
ValueCountFrequency (%)
515
100.0%
Close Punctuation
ValueCountFrequency (%)
) 489
100.0%
Open Punctuation
ValueCountFrequency (%)
( 452
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11237
84.7%
Common 1553
 
11.7%
Latin 482
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 648
 
5.8%
이 461
 
4.1%
사 342
 
3.0%
스 326
 
2.9%
리 245
 
2.2%
아 222
 
2.0%
식 209
 
1.9%
회 202
 
1.8%
지 187
 
1.7%
에 184
 
1.6%
Other values (545) 8211
73.1%
Latin
ValueCountFrequency (%)
A 23
 
4.8%
L 22
 
4.6%
C 22
 
4.6%
o 20
 
4.1%
N 19
 
3.9%
S 19
 
3.9%
a 19
 
3.9%
e 19
 
3.9%
E 19
 
3.9%
t 18
 
3.7%
Other values (38) 282
58.5%
Common
ValueCountFrequency (%)
515
33.2%
) 489
31.5%
( 452
29.1%
. 17
 
1.1%
2 15
 
1.0%
1 13
 
0.8%
& 13
 
0.8%
- 8
 
0.5%
0 7
 
0.5%
, 6
 
0.4%
Other values (8) 18
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11189
84.3%
ASCII 2035
 
15.3%
None 48
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 648
 
5.8%
이 461
 
4.1%
사 342
 
3.1%
스 326
 
2.9%
리 245
 
2.2%
아 222
 
2.0%
식 209
 
1.9%
회 202
 
1.8%
지 187
 
1.7%
에 184
 
1.6%
Other values (544) 8163
73.0%
ASCII
ValueCountFrequency (%)
515
25.3%
) 489
24.0%
( 452
22.2%
A 23
 
1.1%
L 22
 
1.1%
C 22
 
1.1%
o 20
 
1.0%
N 19
 
0.9%
S 19
 
0.9%
a 19
 
0.9%
Other values (56) 435
21.4%
None
ValueCountFrequency (%)
㈜ 48
100.0%

최종수정일자
Date

Distinct1729
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2008-07-28 00:00:00
Maximum2024-05-08 13:52:07
2024-05-11T17:27:26.828045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:27:26.963001image/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 size13.6 KiB
I
1463 
U
267 

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 1463
84.6%
U 267
 
15.4%

Length

2024-05-11T17:27:27.080572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:27.177376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1463
84.6%
u 267
 
15.4%

데이터갱신일자
Date

Distinct300
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T17:27:27.267964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:27:27.380986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1730
Missing (%)100.0%
Memory size15.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1048
Distinct (%)62.6%
Missing55
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean209839.88
Minimum201463.69
Maximum226922.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T17:27:27.748196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201463.69
5-th percentile207048.64
Q1208899.41
median209853.28
Q3210898.1
95-th percentile212682.23
Maximum226922.69
Range25458.996
Interquartile range (IQR)1998.6911

Descriptive statistics

Standard deviation1667.0921
Coefficient of variation (CV)0.0079445912
Kurtosis6.4628942
Mean209839.88
Median Absolute Deviation (MAD)1017.0835
Skewness0.45173662
Sum3.514818 × 108
Variance2779196
MonotonicityNot monotonic
2024-05-11T17:27:27.862870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 21
 
1.2%
209140.885315651 21
 
1.2%
209708.127928039 14
 
0.8%
208992.217212857 14
 
0.8%
211053.119518 12
 
0.7%
210694.766184172 12
 
0.7%
207048.638189411 11
 
0.6%
210431.832858016 10
 
0.6%
208707.089897534 10
 
0.6%
213279.781081276 10
 
0.6%
Other values (1038) 1540
89.0%
(Missing) 55
 
3.2%
ValueCountFrequency (%)
201463.690299789 1
 
0.1%
203004.766681742 1
 
0.1%
203017.680777794 1
 
0.1%
205375.927567659 1
 
0.1%
206159.600830281 1
 
0.1%
206397.34797252 2
 
0.1%
206731.192156063 2
 
0.1%
206802.873762097 2
 
0.1%
206824.750089526 1
 
0.1%
206908.348523164 5
0.3%
ValueCountFrequency (%)
226922.685962061 1
0.1%
213977.355937651 1
0.1%
213778.156650969 1
0.1%
213749.930245793 1
0.1%
213702.120938158 1
0.1%
213658.586176433 1
0.1%
213652.388961337 1
0.1%
213607.036557078 1
0.1%
213507.690663604 1
0.1%
213505.333089286 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1047
Distinct (%)62.5%
Missing55
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean444626.51
Minimum437226.6
Maximum461503.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T17:27:27.985352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437226.6
5-th percentile442362.71
Q1443784.32
median444742.81
Q3445429.47
95-th percentile446061.44
Maximum461503.15
Range24276.55
Interquartile range (IQR)1645.1541

Descriptive statistics

Standard deviation1296.377
Coefficient of variation (CV)0.0029156539
Kurtosis17.578197
Mean444626.51
Median Absolute Deviation (MAD)747.63316
Skewness1.1857679
Sum7.447494 × 108
Variance1680593.4
MonotonicityNot monotonic
2024-05-11T17:27:28.113502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446042.592367722 21
 
1.2%
441725.293491662 21
 
1.2%
445885.719952303 14
 
0.8%
445937.543455637 14
 
0.8%
442026.988783 12
 
0.7%
443754.398132722 12
 
0.7%
445470.105610856 11
 
0.6%
443465.4592322 10
 
0.6%
441833.16323518 10
 
0.6%
443674.682876425 10
 
0.6%
Other values (1037) 1540
89.0%
(Missing) 55
 
3.2%
ValueCountFrequency (%)
437226.601450703 1
 
0.1%
441632.0 1
 
0.1%
441716.229439967 1
 
0.1%
441725.293491662 21
1.2%
441730.920486073 1
 
0.1%
441833.16323518 10
0.6%
441990.0 1
 
0.1%
441994.696754947 2
 
0.1%
442026.988783 12
0.7%
442038.143247 1
 
0.1%
ValueCountFrequency (%)
461503.151221215 1
 
0.1%
448976.540074045 1
 
0.1%
448404.466140859 2
 
0.1%
448382.056267474 1
 
0.1%
448380.763218287 1
 
0.1%
448318.0500626 1
 
0.1%
448311.722554126 5
0.3%
448234.460142287 1
 
0.1%
448208.652885875 1
 
0.1%
448165.591846 1
 
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct183
Distinct (%)45.2%
Missing1325
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean2.4544983 × 1010
Minimum-1.5231477 × 108
Maximum4.6039035 × 1012
Zeros73
Zeros (%)4.2%
Negative1
Negative (%)0.1%
Memory size15.3 KiB
2024-05-11T17:27:28.246612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5231477 × 108
5-th percentile0
Q110000000
median50000000
Q33.8399371 × 108
95-th percentile4.5246822 × 109
Maximum4.6039035 × 1012
Range4.6040558 × 1012
Interquartile range (IQR)3.7399371 × 108

Descriptive statistics

Standard deviation2.7135523 × 1011
Coefficient of variation (CV)11.055425
Kurtosis215.44126
Mean2.4544983 × 1010
Median Absolute Deviation (MAD)50000000
Skewness13.97187
Sum9.9407182 × 1012
Variance7.3633659 × 1022
MonotonicityNot monotonic
2024-05-11T17:27:28.380287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 80
 
4.6%
0 73
 
4.2%
100000000 18
 
1.0%
10000000 17
 
1.0%
20000000 11
 
0.6%
200000000 6
 
0.3%
300000000 5
 
0.3%
500000000 5
 
0.3%
5000000 5
 
0.3%
30000000 4
 
0.2%
Other values (173) 181
 
10.5%
(Missing) 1325
76.6%
ValueCountFrequency (%)
-152314767 1
 
0.1%
0 73
4.2%
282 1
 
0.1%
30000 1
 
0.1%
105400 1
 
0.1%
3968811 1
 
0.1%
5000000 5
 
0.3%
7000000 1
 
0.1%
9000000 1
 
0.1%
10000000 17
 
1.0%
ValueCountFrequency (%)
4603903488718 1
0.1%
2131049471426 1
0.1%
1866814000000 1
0.1%
868774304000 1
0.1%
72500000000 1
0.1%
66175710052 1
0.1%
45072954000 1
0.1%
30258441870 1
0.1%
27629933000 1
0.1%
26940095156 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct154
Distinct (%)38.0%
Missing1325
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean1.7660354 × 1010
Minimum0
Maximum2.3385139 × 1012
Zeros250
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T17:27:28.512592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.1935558 × 108
95-th percentile2.9820151 × 109
Maximum2.3385139 × 1012
Range2.3385139 × 1012
Interquartile range (IQR)1.1935558 × 108

Descriptive statistics

Standard deviation1.7948504 × 1011
Coefficient of variation (CV)10.163162
Kurtosis126.24987
Mean1.7660354 × 1010
Median Absolute Deviation (MAD)0
Skewness11.104023
Sum7.1524435 × 1012
Variance3.2214879 × 1022
MonotonicityNot monotonic
2024-05-11T17:27:28.654006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 250
 
14.5%
20000000 2
 
0.1%
30000000 2
 
0.1%
5000 1
 
0.1%
951656198 1
 
0.1%
76306169 1
 
0.1%
80000000 1
 
0.1%
37980521 1
 
0.1%
948386345 1
 
0.1%
847929978 1
 
0.1%
Other values (144) 144
 
8.3%
(Missing) 1325
76.6%
ValueCountFrequency (%)
0 250
14.5%
5000 1
 
0.1%
330000 1
 
0.1%
586040 1
 
0.1%
1159400 1
 
0.1%
3492303 1
 
0.1%
4000000 1
 
0.1%
4276990 1
 
0.1%
5480000 1
 
0.1%
6867808 1
 
0.1%
ValueCountFrequency (%)
2338513946000 1
0.1%
1996733817795 1
0.1%
1731047000000 1
0.1%
826988458311 1
0.1%
45577353427 1
0.1%
43058130526 1
0.1%
18782833000 1
0.1%
13600000000 1
0.1%
8620635932 1
0.1%
8461685517 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct120
Distinct (%)29.6%
Missing1325
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean1.0277686 × 1010
Minimum-98823145
Maximum3.6740713 × 1012
Zeros45
Zeros (%)2.6%
Negative3
Negative (%)0.2%
Memory size15.3 KiB
2024-05-11T17:27:28.783940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-98823145
5-th percentile0
Q120000000
median50000000
Q31.7898123 × 108
95-th percentile1.58 × 109
Maximum3.6740713 × 1012
Range3.6741701 × 1012
Interquartile range (IQR)1.5898123 × 108

Descriptive statistics

Standard deviation1.8277977 × 1011
Coefficient of variation (CV)17.784135
Kurtosis402.56205
Mean1.0277686 × 1010
Median Absolute Deviation (MAD)50000000
Skewness20.035889
Sum4.162463 × 1012
Variance3.3408443 × 1022
MonotonicityNot monotonic
2024-05-11T17:27:28.907271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 106
 
6.1%
0 45
 
2.6%
100000000 41
 
2.4%
10000000 28
 
1.6%
20000000 13
 
0.8%
300000000 12
 
0.7%
200000000 10
 
0.6%
500000000 8
 
0.5%
30000000 7
 
0.4%
150000000 7
 
0.4%
Other values (110) 128
 
7.4%
(Missing) 1325
76.6%
ValueCountFrequency (%)
-98823145 1
 
0.1%
-61891794 1
 
0.1%
-1054000 1
 
0.1%
0 45
2.6%
5000 1
 
0.1%
30000 1
 
0.1%
447271 1
 
0.1%
1000000 2
 
0.1%
2000000 1
 
0.1%
3000000 2
 
0.1%
ValueCountFrequency (%)
3674071270014 1
0.1%
135767000000 1
0.1%
134315653631 1
0.1%
50000000000 1
0.1%
31500000000 1
0.1%
20598356625 1
0.1%
19895337000 1
0.1%
6658138642 1
0.1%
5831837185 1
0.1%
5000000000 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1730
Missing (%)100.0%
Memory size15.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03230000199632301312320000119960725<NA>3폐업3폐업처리20030214<NA><NA><NA>412-3754<NA><NA>서울특별시 송파구 잠실동 *번지 장미B상가***<NA><NA>금성서적2012-03-20 18:03:06I2018-08-31 23:59:59.0<NA>206159.60083446161.329646<NA><NA><NA><NA>
13230000199632301312320000219960819<NA>3폐업3폐업처리20090924<NA><NA><NA>420-2034<NA><NA>서울특별시 송파구 석촌동 ***번지 *호서울특별시 송파구 송파대로**길 ** (석촌동)<NA>맘모스2009-09-24 09:48:41I2018-08-31 23:59:59.0<NA>209305.0711444592.831633<NA><NA><NA><NA>
23230000199632301312320000319960819<NA>1영업/정상1정상영업<NA><NA><NA><NA>421-5474<NA>138220서울특별시 송파구 잠실동 ***번지 *호 ***호서울특별시 송파구 백제고분로*길 * (잠실동,***호)<NA>훼밀리프로덕스(주)2012-06-22 15:47:38I2018-08-31 23:59:59.0<NA>206989.715896445250.986491868774304000233851394600050000000000<NA>
33230000199632301312320000519960829<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>408-8801<NA><NA>서울특별시 송파구 오금동 *번지 **호서울특별시 송파구 위례성대로 *** (오금동)<NA>청담화장품송파지점2012-09-05 13:42:42I2018-08-31 23:59:59.0<NA>211623.742422445269.269738<NA><NA><NA><NA>
43230000199632301312320000919960831<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>203-3234<NA><NA>서울특별시 송파구 삼전동 *번지 *호 (*층)서울특별시 송파구 삼전로 ** (삼전동,(*층))<NA>동아양행2012-09-05 13:42:19I2018-08-31 23:59:59.0<NA>207831.326879444800.642623<NA><NA><NA><NA>
53230000199632301312320001919961029<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>421-1741<NA><NA>서울특별시 송파구 석촌동 **번지 **호 (*층)서울특별시 송파구 삼학사로**길 **-* (석촌동,(*층))<NA>동화문화센타2012-09-05 13:43:09I2018-08-31 23:59:59.0<NA>208648.435933444561.035153<NA><NA><NA><NA>
63230000199632301312320002019961031<NA>4취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>-<NA>138130서울특별시 송파구 오금동 **번지 *호 *층서울특별시 송파구 마천로*길 * (오금동,*층)<NA>에이플러스과학나라2014-01-28 15:36:22I2018-08-31 23:59:59.0<NA>211217.670721445018.690132<NA><NA><NA><NA>
73230000199632301312320002119961031<NA>3폐업3폐업처리20140128<NA><NA><NA>431-8188<NA>138160서울특별시 송파구 가락동 *번지 *호 *층서울특별시 송파구 오금로 *** (가락동,*층)<NA>에이플러스과학나라2014-01-28 16:40:47I2018-08-31 23:59:59.0<NA>210974.177725444627.592661<NA><NA><NA><NA>
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