Overview

Dataset statistics

Number of variables29
Number of observations327
Missing cells3488
Missing cells (%)36.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.0 KiB
Average record size in memory250.4 B

Variable types

Categorical7
Numeric9
DateTime4
Unsupported5
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),자산규모,부채총액,자본금,판매방식명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-18792/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (90.5%)Imbalance
폐업일자 has 112 (34.3%) missing valuesMissing
휴업시작일자 has 327 (100.0%) missing valuesMissing
휴업종료일자 has 327 (100.0%) missing valuesMissing
재개업일자 has 252 (77.1%) missing valuesMissing
전화번호 has 78 (23.9%) missing valuesMissing
소재지면적 has 327 (100.0%) missing valuesMissing
소재지우편번호 has 273 (83.5%) missing valuesMissing
지번주소 has 72 (22.0%) missing valuesMissing
도로명주소 has 74 (22.6%) missing valuesMissing
도로명우편번호 has 115 (35.2%) missing valuesMissing
업태구분명 has 327 (100.0%) missing valuesMissing
좌표정보(X) has 110 (33.6%) missing valuesMissing
좌표정보(Y) has 110 (33.6%) missing valuesMissing
자산규모 has 219 (67.0%) missing valuesMissing
부채총액 has 219 (67.0%) missing valuesMissing
자본금 has 219 (67.0%) missing valuesMissing
판매방식명 has 327 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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 25 (7.6%) zerosZeros
부채총액 has 53 (16.2%) zerosZeros
자본금 has 21 (6.4%) zerosZeros

Reproduction

Analysis started2024-05-11 03:24:21.900203
Analysis finished2024-05-11 03:24:23.113959
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3150000
327 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 327
100.0%

Length

2024-05-11T03:24:23.312477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:23.634628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 327
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct327
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0139144 × 1018
Minimum2.002315 × 1018
Maximum2.024315 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:24.075213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002315 × 1018
5-th percentile2.003315 × 1018
Q12.007315 × 1018
median2.015315 × 1018
Q32.019315 × 1018
95-th percentile2.023315 × 1018
Maximum2.024315 × 1018
Range2.200001 × 1016
Interquartile range (IQR)1.200001 × 1016

Descriptive statistics

Standard deviation6.6941366 × 1015
Coefficient of variation (CV)0.0033239429
Kurtosis-1.3038541
Mean2.0139144 × 1018
Median Absolute Deviation (MAD)6.0000034 × 1015
Skewness-0.24533532
Sum-5.5327767 × 1018
Variance4.4811464 × 1031
MonotonicityStrictly increasing
2024-05-11T03:24:24.611251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002315010024200001 1
 
0.3%
2018315018624200011 1
 
0.3%
2018315018624200009 1
 
0.3%
2018315018624200008 1
 
0.3%
2018315018624200007 1
 
0.3%
2018315018624200006 1
 
0.3%
2018315018624200005 1
 
0.3%
2018315018624200004 1
 
0.3%
2018315018624200003 1
 
0.3%
2018315018624200002 1
 
0.3%
Other values (317) 317
96.9%
ValueCountFrequency (%)
2002315010024200001 1
0.3%
2002315010024200002 1
0.3%
2002315010024200003 1
0.3%
2002315010024200004 1
0.3%
2002315010024200005 1
0.3%
2002315010024200006 1
0.3%
2002315010024200007 1
0.3%
2002315010024200008 1
0.3%
2002315010024200009 1
0.3%
2002315010024200010 1
0.3%
ValueCountFrequency (%)
2024315020024200007 1
0.3%
2024315020024200006 1
0.3%
2024315020024200005 1
0.3%
2024315020024200004 1
0.3%
2024315020024200003 1
0.3%
2024315020024200002 1
0.3%
2024315020024200001 1
0.3%
2023315020024200014 1
0.3%
2023315020024200013 1
0.3%
2023315020024200012 1
0.3%

인허가일자
Date

Distinct304
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2002-08-07 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T03:24:25.183116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:24:25.729526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
323 
20081215
 
4

Length

Max length8
Median length4
Mean length4.0489297
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 323
98.8%
20081215 4
 
1.2%

Length

2024-05-11T03:24:26.568997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:27.091403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
98.8%
20081215 4
 
1.2%

영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3
140 
1
96 
4
89 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 140
42.8%
1 96
29.4%
4 89
27.2%
5 2
 
0.6%

Length

2024-05-11T03:24:27.681066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:28.116154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 140
42.8%
1 96
29.4%
4 89
27.2%
5 2
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
폐업
140 
영업/정상
96 
취소/말소/만료/정지/중지
89 
제외/삭제/전출
 
2

Length

Max length14
Median length8
Mean length6.1834862
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 140
42.8%
영업/정상 96
29.4%
취소/말소/만료/정지/중지 89
27.2%
제외/삭제/전출 2
 
0.6%

Length

2024-05-11T03:24:28.713624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:29.168268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 140
42.8%
영업/정상 96
29.4%
취소/말소/만료/정지/중지 89
27.2%
제외/삭제/전출 2
 
0.6%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3
140 
1
96 
7
85 
4
 
4
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 140
42.8%
1 96
29.4%
7 85
26.0%
4 4
 
1.2%
5 2
 
0.6%

Length

2024-05-11T03:24:29.791134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:30.184499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 140
42.8%
1 96
29.4%
7 85
26.0%
4 4
 
1.2%
5 2
 
0.6%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
폐업처리
140 
정상영업
96 
직권말소
85 
직권취소
 
4
타시군구이관
 
2

Length

Max length6
Median length4
Mean length4.0122324
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 140
42.8%
정상영업 96
29.4%
직권말소 85
26.0%
직권취소 4
 
1.2%
타시군구이관 2
 
0.6%

Length

2024-05-11T03:24:30.767800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:31.197349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 140
42.8%
정상영업 96
29.4%
직권말소 85
26.0%
직권취소 4
 
1.2%
타시군구이관 2
 
0.6%

폐업일자
Date

MISSING 

Distinct144
Distinct (%)67.0%
Missing112
Missing (%)34.3%
Memory size2.7 KiB
Minimum2003-03-21 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T03:24:31.585690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:24:32.006463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing327
Missing (%)100.0%
Memory size3.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing327
Missing (%)100.0%
Memory size3.0 KiB

재개업일자
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)94.7%
Missing252
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean20043773
Minimum20020807
Maximum20070904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:32.486585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020807
5-th percentile20020828
Q120030419
median20050407
Q320051026
95-th percentile20070552
Maximum20070904
Range50097
Interquartile range (IQR)20607

Descriptive statistics

Standard deviation16133.882
Coefficient of variation (CV)0.00080493239
Kurtosis-1.1305181
Mean20043773
Median Absolute Deviation (MAD)10119
Skewness-0.0096407235
Sum1.503283 × 109
Variance2.6030215 × 108
MonotonicityNot monotonic
2024-05-11T03:24:33.044413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020828 2
 
0.6%
20050413 2
 
0.6%
20060414 2
 
0.6%
20051010 2
 
0.6%
20050922 1
 
0.3%
20051024 1
 
0.3%
20051019 1
 
0.3%
20051017 1
 
0.3%
20050923 1
 
0.3%
20050902 1
 
0.3%
Other values (61) 61
 
18.7%
(Missing) 252
77.1%
ValueCountFrequency (%)
20020807 1
0.3%
20020809 1
0.3%
20020817 1
0.3%
20020828 2
0.6%
20020903 1
0.3%
20020912 1
0.3%
20021014 1
0.3%
20021016 1
0.3%
20021111 1
0.3%
20021115 1
0.3%
ValueCountFrequency (%)
20070904 1
0.3%
20070703 1
0.3%
20070625 1
0.3%
20070601 1
0.3%
20070531 1
0.3%
20070215 1
0.3%
20070213 1
0.3%
20070125 1
0.3%
20060623 1
0.3%
20060526 1
0.3%

전화번호
Text

MISSING 

Distinct238
Distinct (%)95.6%
Missing78
Missing (%)23.9%
Memory size2.7 KiB
2024-05-11T03:24:33.674021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.425703
Min length1

Characters and Unicode

Total characters2845
Distinct characters15
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

Unique230 ?
Unique (%)92.4%

Sample

1st row02-2608-3800
2nd row02-690-5525
3rd row02-695-6560
4th row02-2603-1386
5th row02-2602-4051
ValueCountFrequency (%)
02 35
 
11.1%
070-7663-9386 2
 
0.6%
2063 2
 
0.6%
3664 2
 
0.6%
3275 2
 
0.6%
070-4114-1767 2
 
0.6%
02-3665-2811 2
 
0.6%
1544-2687 2
 
0.6%
02-6116-8334 2
 
0.6%
02-3663-5676 2
 
0.6%
Other values (259) 261
83.1%
2024-05-11T03:24:34.950053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 462
16.2%
2 419
14.7%
- 385
13.5%
6 345
12.1%
1 197
6.9%
3 181
 
6.4%
5 179
 
6.3%
4 160
 
5.6%
8 157
 
5.5%
7 155
 
5.4%
Other values (5) 205
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2387
83.9%
Dash Punctuation 385
 
13.5%
Space Separator 65
 
2.3%
Close Punctuation 6
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 462
19.4%
2 419
17.6%
6 345
14.5%
1 197
8.3%
3 181
 
7.6%
5 179
 
7.5%
4 160
 
6.7%
8 157
 
6.6%
7 155
 
6.5%
9 132
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 385
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2845
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 462
16.2%
2 419
14.7%
- 385
13.5%
6 345
12.1%
1 197
6.9%
3 181
 
6.4%
5 179
 
6.3%
4 160
 
5.6%
8 157
 
5.5%
7 155
 
5.4%
Other values (5) 205
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2845
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 462
16.2%
2 419
14.7%
- 385
13.5%
6 345
12.1%
1 197
6.9%
3 181
 
6.4%
5 179
 
6.3%
4 160
 
5.6%
8 157
 
5.5%
7 155
 
5.4%
Other values (5) 205
7.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing327
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)35.2%
Missing273
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean161662.04
Minimum157010
Maximum403010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:35.353852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157010
5-th percentile157010
Q1157011
median157030
Q3157160.75
95-th percentile157866.25
Maximum403010
Range246000
Interquartile range (IQR)149.75

Descriptive statistics

Standard deviation33463.638
Coefficient of variation (CV)0.2069975
Kurtosis53.995527
Mean161662.04
Median Absolute Deviation (MAD)19
Skewness7.3480218
Sum8729750
Variance1.119815 × 109
MonotonicityNot monotonic
2024-05-11T03:24:35.720913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
157010 12
 
3.7%
157030 8
 
2.4%
157011 4
 
1.2%
157016 4
 
1.2%
157015 4
 
1.2%
157220 3
 
0.9%
157240 3
 
0.9%
157040 3
 
0.9%
157014 2
 
0.6%
157033 2
 
0.6%
Other values (9) 9
 
2.8%
(Missing) 273
83.5%
ValueCountFrequency (%)
157010 12
3.7%
157011 4
 
1.2%
157014 2
 
0.6%
157015 4
 
1.2%
157016 4
 
1.2%
157030 8
2.4%
157031 1
 
0.3%
157033 2
 
0.6%
157040 3
 
0.9%
157201 1
 
0.3%
ValueCountFrequency (%)
403010 1
 
0.3%
157925 1
 
0.3%
157915 1
 
0.3%
157840 1
 
0.3%
157280 1
 
0.3%
157240 3
0.9%
157223 1
 
0.3%
157220 3
0.9%
157203 1
 
0.3%
157201 1
 
0.3%

지번주소
Text

MISSING 

Distinct171
Distinct (%)67.1%
Missing72
Missing (%)22.0%
Memory size2.7 KiB
2024-05-11T03:24:36.639508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length27.2
Min length17

Characters and Unicode

Total characters6936
Distinct characters212
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)51.8%

Sample

1st row서울특별시 강서구 화곡동 일반번지 ***-**
2nd row서울특별시 강서구 화곡동 일반번지 ***-*
3rd row서울특별시 강서구 화곡동 일반번지 ***-**
4th row서울특별시 강서구 화곡동 일반번지 ***-**
5th row서울특별시 강서구 화곡동 일반번지 ****-**
ValueCountFrequency (%)
서울특별시 254
18.0%
강서구 253
17.9%
호 137
9.7%
135
9.6%
번지 119
8.4%
화곡동 88
 
6.2%
마곡동 72
 
5.1%
일반번지 65
 
4.6%
등촌동 42
 
3.0%
층 18
 
1.3%
Other values (128) 228
16.2%
2024-05-11T03:24:38.303648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1257
18.1%
1227
17.7%
서 513
 
7.4%
동 268
 
3.9%
강 261
 
3.8%
시 257
 
3.7%
구 255
 
3.7%
특 254
 
3.7%
별 254
 
3.7%
울 254
 
3.7%
Other values (202) 2136
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4271
61.6%
Other Punctuation 1261
 
18.2%
Space Separator 1227
 
17.7%
Dash Punctuation 128
 
1.8%
Uppercase Letter 19
 
0.3%
Decimal Number 18
 
0.3%
Letter Number 8
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 513
 
12.0%
동 268
 
6.3%
강 261
 
6.1%
시 257
 
6.0%
구 255
 
6.0%
특 254
 
5.9%
별 254
 
5.9%
울 254
 
5.9%
지 198
 
4.6%
번 184
 
4.3%
Other values (173) 1573
36.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
L 3
15.8%
B 3
15.8%
U 2
10.5%
S 1
 
5.3%
M 1
 
5.3%
F 1
 
5.3%
G 1
 
5.3%
K 1
 
5.3%
W 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
7 7
38.9%
9 3
16.7%
6 2
 
11.1%
4 2
 
11.1%
3 1
 
5.6%
0 1
 
5.6%
2 1
 
5.6%
8 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
v 1
33.3%
i 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 1257
99.7%
, 4
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
75.0%
Ⅰ 2
 
25.0%
Space Separator
ValueCountFrequency (%)
1227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4271
61.6%
Common 2635
38.0%
Latin 30
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 513
 
12.0%
동 268
 
6.3%
강 261
 
6.1%
시 257
 
6.0%
구 255
 
6.0%
특 254
 
5.9%
별 254
 
5.9%
울 254
 
5.9%
지 198
 
4.6%
번 184
 
4.3%
Other values (173) 1573
36.8%
Latin
ValueCountFrequency (%)
Ⅱ 6
20.0%
A 4
13.3%
L 3
10.0%
B 3
10.0%
Ⅰ 2
 
6.7%
U 2
 
6.7%
S 1
 
3.3%
M 1
 
3.3%
F 1
 
3.3%
G 1
 
3.3%
Other values (6) 6
20.0%
Common
ValueCountFrequency (%)
* 1257
47.7%
1227
46.6%
- 128
 
4.9%
7 7
 
0.3%
, 4
 
0.2%
9 3
 
0.1%
6 2
 
0.1%
4 2
 
0.1%
3 1
 
< 0.1%
0 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4271
61.6%
ASCII 2657
38.3%
Number Forms 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1257
47.3%
1227
46.2%
- 128
 
4.8%
7 7
 
0.3%
A 4
 
0.2%
, 4
 
0.2%
L 3
 
0.1%
B 3
 
0.1%
9 3
 
0.1%
6 2
 
0.1%
Other values (17) 19
 
0.7%
Hangul
ValueCountFrequency (%)
서 513
 
12.0%
동 268
 
6.3%
강 261
 
6.1%
시 257
 
6.0%
구 255
 
6.0%
특 254
 
5.9%
별 254
 
5.9%
울 254
 
5.9%
지 198
 
4.6%
번 184
 
4.3%
Other values (173) 1573
36.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
75.0%
Ⅰ 2
 
25.0%

도로명주소
Text

MISSING 

Distinct231
Distinct (%)91.3%
Missing74
Missing (%)22.6%
Memory size2.7 KiB
2024-05-11T03:24:39.076844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length36.920949
Min length23

Characters and Unicode

Total characters9341
Distinct characters243
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

Unique210 ?
Unique (%)83.0%

Sample

1st row서울특별시 강서구 화곡로**길 **-** (화곡동)
2nd row서울특별시 강서구 공항대로**길 ** (등촌동)
3rd row서울특별시 강서구 금낭화로 ** (방화동,*층)
4th row서울특별시 강서구 강서로*길 ** (화곡동)
5th row서울특별시 강서구 공항대로 **, *층 (공항동, 공항전화국)
ValueCountFrequency (%)
서울특별시 252
14.3%
251
14.2%
강서구 251
14.2%
호 164
 
9.3%
층 110
 
6.2%
마곡동 75
 
4.2%
화곡동 68
 
3.8%
공항대로 39
 
2.2%
등촌동 28
 
1.6%
양천로 27
 
1.5%
Other values (227) 503
28.5%
2024-05-11T03:24:40.333451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1636
17.5%
1518
16.3%
서 562
 
6.0%
, 334
 
3.6%
강 312
 
3.3%
동 308
 
3.3%
로 262
 
2.8%
시 255
 
2.7%
( 254
 
2.7%
) 254
 
2.7%
Other values (233) 3646
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5230
56.0%
Other Punctuation 1971
 
21.1%
Space Separator 1518
 
16.3%
Open Punctuation 254
 
2.7%
Close Punctuation 254
 
2.7%
Uppercase Letter 40
 
0.4%
Dash Punctuation 36
 
0.4%
Decimal Number 26
 
0.3%
Letter Number 8
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 562
 
10.7%
강 312
 
6.0%
동 308
 
5.9%
로 262
 
5.0%
시 255
 
4.9%
구 253
 
4.8%
특 252
 
4.8%
별 252
 
4.8%
울 252
 
4.8%
곡 246
 
4.7%
Other values (200) 2276
43.5%
Uppercase Letter
ValueCountFrequency (%)
B 12
30.0%
A 11
27.5%
L 3
 
7.5%
U 2
 
5.0%
V 2
 
5.0%
P 2
 
5.0%
W 1
 
2.5%
K 1
 
2.5%
G 1
 
2.5%
M 1
 
2.5%
Other values (4) 4
 
10.0%
Decimal Number
ValueCountFrequency (%)
5 4
15.4%
1 4
15.4%
8 3
11.5%
2 3
11.5%
0 3
11.5%
6 3
11.5%
7 3
11.5%
9 3
11.5%
Other Punctuation
ValueCountFrequency (%)
* 1636
83.0%
, 334
 
16.9%
. 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1518
100.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5230
56.0%
Common 4062
43.5%
Latin 49
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 562
 
10.7%
강 312
 
6.0%
동 308
 
5.9%
로 262
 
5.0%
시 255
 
4.9%
구 253
 
4.8%
특 252
 
4.8%
별 252
 
4.8%
울 252
 
4.8%
곡 246
 
4.7%
Other values (200) 2276
43.5%
Latin
ValueCountFrequency (%)
B 12
24.5%
A 11
22.4%
Ⅱ 7
14.3%
L 3
 
6.1%
U 2
 
4.1%
V 2
 
4.1%
P 2
 
4.1%
W 1
 
2.0%
K 1
 
2.0%
G 1
 
2.0%
Other values (7) 7
14.3%
Common
ValueCountFrequency (%)
* 1636
40.3%
1518
37.4%
, 334
 
8.2%
( 254
 
6.3%
) 254
 
6.3%
- 36
 
0.9%
5 4
 
0.1%
1 4
 
0.1%
8 3
 
0.1%
2 3
 
0.1%
Other values (6) 16
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5230
56.0%
ASCII 4103
43.9%
Number Forms 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1636
39.9%
1518
37.0%
, 334
 
8.1%
( 254
 
6.2%
) 254
 
6.2%
- 36
 
0.9%
B 12
 
0.3%
A 11
 
0.3%
5 4
 
0.1%
1 4
 
0.1%
Other values (21) 40
 
1.0%
Hangul
ValueCountFrequency (%)
서 562
 
10.7%
강 312
 
6.0%
동 308
 
5.9%
로 262
 
5.0%
시 255
 
4.9%
구 253
 
4.8%
특 252
 
4.8%
별 252
 
4.8%
울 252
 
4.8%
곡 246
 
4.7%
Other values (200) 2276
43.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)48.6%
Missing115
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean27212.264
Minimum4379
Maximum403010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:40.976302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4379
5-th percentile7532
Q17631
median7730
Q37802
95-th percentile157846.55
Maximum403010
Range398631
Interquartile range (IQR)171

Descriptive statistics

Standard deviation54926.316
Coefficient of variation (CV)2.0184398
Kurtosis11.515411
Mean27212.264
Median Absolute Deviation (MAD)73
Skewness3.0887152
Sum5769000
Variance3.0169002 × 109
MonotonicityNot monotonic
2024-05-11T03:24:41.470448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7803 17
 
5.2%
7802 17
 
5.2%
7631 11
 
3.4%
7788 10
 
3.1%
7547 7
 
2.1%
7714 7
 
2.1%
7807 5
 
1.5%
7715 5
 
1.5%
7794 4
 
1.2%
157010 4
 
1.2%
Other values (93) 125
38.2%
(Missing) 115
35.2%
ValueCountFrequency (%)
4379 1
0.3%
7505 2
0.6%
7516 1
0.3%
7524 1
0.3%
7528 2
0.6%
7529 1
0.3%
7531 2
0.6%
7532 2
0.6%
7538 1
0.3%
7540 1
0.3%
ValueCountFrequency (%)
403010 1
 
0.3%
157930 3
0.9%
157925 1
 
0.3%
157924 1
 
0.3%
157922 1
 
0.3%
157915 1
 
0.3%
157864 1
 
0.3%
157862 1
 
0.3%
157857 1
 
0.3%
157838 1
 
0.3%

사업장명
Text

Distinct326
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T03:24:42.338480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length8.1590214
Min length2

Characters and Unicode

Total characters2668
Distinct characters353
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique325 ?
Unique (%)99.4%

Sample

1st row(주)엘에이치디
2nd row그린미디어
3rd row(주)그린씨엔아이
4th row유일통상
5th rowKTB유통
ValueCountFrequency (%)
주식회사 58
 
12.8%
주 7
 
1.5%
대부중개 4
 
0.9%
컴퍼니 3
 
0.7%
와이알 2
 
0.4%
장애인 2
 
0.4%
헬로벨 2
 
0.4%
㈜ 2
 
0.4%
company 2
 
0.4%
케이티엔 2
 
0.4%
Other values (362) 369
81.5%
2024-05-11T03:24:43.734779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 134
 
5.0%
126
 
4.7%
이 123
 
4.6%
( 97
 
3.6%
) 97
 
3.6%
사 78
 
2.9%
스 69
 
2.6%
회 67
 
2.5%
식 62
 
2.3%
에 42
 
1.6%
Other values (343) 1773
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2114
79.2%
Uppercase Letter 133
 
5.0%
Space Separator 126
 
4.7%
Open Punctuation 97
 
3.6%
Close Punctuation 97
 
3.6%
Lowercase Letter 65
 
2.4%
Other Punctuation 14
 
0.5%
Decimal Number 13
 
0.5%
Other Symbol 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 134
 
6.3%
이 123
 
5.8%
사 78
 
3.7%
스 69
 
3.3%
회 67
 
3.2%
식 62
 
2.9%
에 42
 
2.0%
드 31
 
1.5%
케 30
 
1.4%
통 30
 
1.4%
Other values (291) 1448
68.5%
Uppercase Letter
ValueCountFrequency (%)
T 16
12.0%
K 15
 
11.3%
C 13
 
9.8%
E 10
 
7.5%
I 8
 
6.0%
N 7
 
5.3%
S 7
 
5.3%
B 6
 
4.5%
M 6
 
4.5%
G 6
 
4.5%
Other values (11) 39
29.3%
Lowercase Letter
ValueCountFrequency (%)
o 9
13.8%
c 6
9.2%
m 6
9.2%
d 6
9.2%
n 5
 
7.7%
a 5
 
7.7%
t 4
 
6.2%
e 4
 
6.2%
i 3
 
4.6%
y 3
 
4.6%
Other values (8) 14
21.5%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
0 3
23.1%
4 2
 
15.4%
6 1
 
7.7%
2 1
 
7.7%
8 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 7
50.0%
& 6
42.9%
, 1
 
7.1%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2123
79.6%
Common 347
 
13.0%
Latin 198
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 134
 
6.3%
이 123
 
5.8%
사 78
 
3.7%
스 69
 
3.3%
회 67
 
3.2%
식 62
 
2.9%
에 42
 
2.0%
드 31
 
1.5%
케 30
 
1.4%
통 30
 
1.4%
Other values (292) 1457
68.6%
Latin
ValueCountFrequency (%)
T 16
 
8.1%
K 15
 
7.6%
C 13
 
6.6%
E 10
 
5.1%
o 9
 
4.5%
I 8
 
4.0%
N 7
 
3.5%
S 7
 
3.5%
c 6
 
3.0%
m 6
 
3.0%
Other values (29) 101
51.0%
Common
ValueCountFrequency (%)
126
36.3%
( 97
28.0%
) 97
28.0%
. 7
 
2.0%
& 6
 
1.7%
1 5
 
1.4%
0 3
 
0.9%
4 2
 
0.6%
, 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2114
79.2%
ASCII 545
 
20.4%
None 9
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 134
 
6.3%
이 123
 
5.8%
사 78
 
3.7%
스 69
 
3.3%
회 67
 
3.2%
식 62
 
2.9%
에 42
 
2.0%
드 31
 
1.5%
케 30
 
1.4%
통 30
 
1.4%
Other values (291) 1448
68.5%
ASCII
ValueCountFrequency (%)
126
23.1%
( 97
17.8%
) 97
17.8%
T 16
 
2.9%
K 15
 
2.8%
C 13
 
2.4%
E 10
 
1.8%
o 9
 
1.7%
I 8
 
1.5%
. 7
 
1.3%
Other values (41) 147
27.0%
None
ValueCountFrequency (%)
㈜ 9
100.0%

최종수정일자
Date

Distinct311
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2007-10-10 17:15:20
Maximum2024-05-07 19:26:48
2024-05-11T03:24:44.351950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:24:44.897164image/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 size2.7 KiB
I
244 
U
83 

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 244
74.6%
U 83
 
25.4%

Length

2024-05-11T03:24:45.345457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:45.703531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 244
74.6%
u 83
 
25.4%

데이터갱신일자
Date

Distinct118
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T03:24:46.045623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:24:46.531067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing327
Missing (%)100.0%
Memory size3.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)74.7%
Missing110
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean185942.09
Minimum175385.71
Maximum196638.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:46.977381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175385.71
5-th percentile183268.39
Q1185340.74
median185920.21
Q3186646.29
95-th percentile187961.91
Maximum196638.18
Range21252.467
Interquartile range (IQR)1305.546

Descriptive statistics

Standard deviation1713.5734
Coefficient of variation (CV)0.0092156291
Kurtosis12.402835
Mean185942.09
Median Absolute Deviation (MAD)726.08114
Skewness-0.074626651
Sum40349434
Variance2936333.7
MonotonicityNot monotonic
2024-05-11T03:24:47.577404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187952.560027898 10
 
3.1%
186646.289693208 5
 
1.5%
184733.0 4
 
1.2%
185365.0 4
 
1.2%
184636.53344075 4
 
1.2%
185920.208549725 3
 
0.9%
185340.743671151 3
 
0.9%
187831.720345753 3
 
0.9%
184723.0 3
 
0.9%
187999.32555627 3
 
0.9%
Other values (152) 175
53.5%
(Missing) 110
33.6%
ValueCountFrequency (%)
175385.712536976 1
0.3%
181881.234660314 1
0.3%
182524.823835629 2
0.6%
182941.05762285 2
0.6%
182995.78524593 1
0.3%
183013.81000202 1
0.3%
183116.474909013 1
0.3%
183202.62839305 1
0.3%
183263.981239348 1
0.3%
183269.488581299 1
0.3%
ValueCountFrequency (%)
196638.179841671 1
 
0.3%
189102.277524848 2
 
0.6%
189085.29181102 1
 
0.3%
189022.284939732 1
 
0.3%
188907.145870979 1
 
0.3%
188791.250134373 1
 
0.3%
188232.28804475 1
 
0.3%
187999.32555627 3
 
0.9%
187952.560027898 10
3.1%
187890.873539389 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)74.7%
Missing110
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean449992.47
Minimum443449.6
Maximum453174.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:48.060858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443449.6
5-th percentile447582.45
Q1448847.01
median450178.32
Q3450957.96
95-th percentile451886.1
Maximum453174.9
Range9725.3038
Interquartile range (IQR)2110.9459

Descriptive statistics

Standard deviation1417.1417
Coefficient of variation (CV)0.0031492565
Kurtosis0.934579
Mean449992.47
Median Absolute Deviation (MAD)955.23661
Skewness-0.61633584
Sum97648366
Variance2008290.7
MonotonicityNot monotonic
2024-05-11T03:24:48.534439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450562.020225978 10
 
3.1%
449525.121062463 5
 
1.5%
451884.0 4
 
1.2%
450789.0 4
 
1.2%
450143.872075084 4
 
1.2%
451605.394433274 3
 
0.9%
450856.828690522 3
 
0.9%
450994.213236731 3
 
0.9%
451825.0 3
 
0.9%
449920.361168751 3
 
0.9%
Other values (152) 175
53.5%
(Missing) 110
33.6%
ValueCountFrequency (%)
443449.595308983 1
0.3%
446986.908802137 1
0.3%
447376.137171556 1
0.3%
447406.124515211 1
0.3%
447436.857075409 2
0.6%
447487.80045526 2
0.6%
447549.703902392 1
0.3%
447558.097935801 1
0.3%
447582.332072464 1
0.3%
447582.481874382 1
0.3%
ValueCountFrequency (%)
453174.899157458 1
0.3%
452713.505241493 1
0.3%
452356.535998471 1
0.3%
452349.105335691 1
0.3%
452258.458332197 2
0.6%
452221.008576625 1
0.3%
452112.776501834 1
0.3%
452000.325173759 1
0.3%
451995.631993654 1
0.3%
451886.099524919 2
0.6%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)62.0%
Missing219
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean2.5674089 × 109
Minimum0
Maximum1.3543511 × 1011
Zeros25
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:49.062498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1750000.25
median59521343
Q33.1057747 × 108
95-th percentile4.109503 × 109
Maximum1.3543511 × 1011
Range1.3543511 × 1011
Interquartile range (IQR)3.0982747 × 108

Descriptive statistics

Standard deviation1.4586724 × 1010
Coefficient of variation (CV)5.6814961
Kurtosis67.960293
Mean2.5674089 × 109
Median Absolute Deviation (MAD)59521343
Skewness7.9305867
Sum2.7728016 × 1011
Variance2.127725 × 1020
MonotonicityNot monotonic
2024-05-11T03:24:49.635364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
7.6%
10000000 7
 
2.1%
50000000 4
 
1.2%
1000000 4
 
1.2%
100000000 3
 
0.9%
30000000 2
 
0.6%
150000000 2
 
0.6%
1 2
 
0.6%
111825012 1
 
0.3%
386000000 1
 
0.3%
Other values (57) 57
 
17.4%
(Missing) 219
67.0%
ValueCountFrequency (%)
0 25
7.6%
1 2
 
0.6%
1000000 4
 
1.2%
9123000 1
 
0.3%
10000000 7
 
2.1%
10760000 1
 
0.3%
12513953 1
 
0.3%
15000000 1
 
0.3%
20000000 1
 
0.3%
30000000 2
 
0.6%
ValueCountFrequency (%)
135435108000 1
0.3%
62770102000 1
0.3%
30049467350 1
0.3%
14459196248 1
0.3%
6000000000 1
0.3%
4790262179 1
0.3%
2845236019 1
0.3%
1899442940 1
0.3%
1403524221 1
0.3%
1331794847 1
0.3%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)50.0%
Missing219
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean9.096356 × 108
Minimum0
Maximum5.0477527 × 1010
Zeros53
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T03:24:50.136706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.3856805 × 108
95-th percentile1.7382126 × 109
Maximum5.0477527 × 1010
Range5.0477527 × 1010
Interquartile range (IQR)2.3856805 × 108

Descriptive statistics

Standard deviation5.1204356 × 109
Coefficient of variation (CV)5.6291064
Kurtosis84.213197
Mean9.096356 × 108
Median Absolute Deviation (MAD)1
Skewness8.8486167
Sum9.8240644 × 1010
Variance2.6218861 × 1019
MonotonicityNot monotonic
2024-05-11T03:24:50.575102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
16.2%
1 2
 
0.6%
100000000 2
 
0.6%
47472541 1
 
0.3%
131495000 1
 
0.3%
36478552 1
 
0.3%
132871848 1
 
0.3%
218455260 1
 
0.3%
162224231 1
 
0.3%
347260895 1
 
0.3%
Other values (44) 44
 
13.5%
(Missing) 219
67.0%
ValueCountFrequency (%)
0 53
16.2%
1 2
 
0.6%
1945347 1
 
0.3%
13334980 1
 
0.3%
20000000 1
 
0.3%
21780000 1
 
0.3%
35306407 1
 
0.3%
36478552 1
 
0.3%
39685188 1
 
0.3%
39922635 1
 
0.3%
ValueCountFrequency (%)
50477527000 1
0.3%
13151185900 1
0.3%
11280420882 1
0.3%
4861597368 1
0.3%
3368463395 1
0.3%
1866480917 1
0.3%
1500000000 1
0.3%
1333385266 1
0.3%
809936948 1
0.3%
709963543 1
0.3%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)43.5%
Missing219
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean1.0828315 × 109
Minimum-2.5185234 × 108
Maximum8.4957585 × 1010
Zeros21
Zeros (%)6.4%
Negative5
Negative (%)1.5%
Memory size3.0 KiB
2024-05-11T03:24:51.021451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.5185234 × 108
5-th percentile0
Q11
median39047681
Q31.0228119 × 108
95-th percentile1.2151611 × 109
Maximum8.4957585 × 1010
Range8.5209437 × 1010
Interquartile range (IQR)1.0228119 × 108

Descriptive statistics

Standard deviation8.2210056 × 109
Coefficient of variation (CV)7.5921377
Kurtosis104.0228
Mean1.0828315 × 109
Median Absolute Deviation (MAD)39047681
Skewness10.119511
Sum1.169458 × 1011
Variance6.7584932 × 1019
MonotonicityNot monotonic
2024-05-11T03:24:51.547005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 21
 
6.4%
50000000 13
 
4.0%
100000000 10
 
3.1%
10000000 9
 
2.8%
30000000 4
 
1.2%
1000000 4
 
1.2%
400000000 4
 
1.2%
20000000 2
 
0.6%
1 2
 
0.6%
150000000 2
 
0.6%
Other values (37) 37
 
11.3%
(Missing) 219
67.0%
ValueCountFrequency (%)
-251852335 1
 
0.3%
-159510769 1
 
0.3%
-144600386 1
 
0.3%
-14709099 1
 
0.3%
-3481670 1
 
0.3%
0 21
6.4%
1 2
 
0.6%
100000 1
 
0.3%
1000000 4
 
1.2%
4000000 1
 
0.3%
ValueCountFrequency (%)
84957585000 1
 
0.3%
7707087000 1
 
0.3%
6765454800 1
 
0.3%
4600000000 1
 
0.3%
3000000000 1
 
0.3%
1421798784 1
 
0.3%
831405315 1
 
0.3%
582587998 1
 
0.3%
500000000 1
 
0.3%
400000000 4
1.2%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing327
Missing (%)100.0%
Memory size3.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03150000200231501002420000120020807<NA>4취소/말소/만료/정지/중지7직권말소20130618<NA><NA>2002080702-2608-3800<NA><NA>서울특별시 강서구 화곡동 일반번지 ***-**<NA><NA>(주)엘에이치디2014-03-04 09:43:14I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
13150000200231501002420000220020809<NA>4취소/말소/만료/정지/중지7직권말소20171120<NA><NA>2002080902-690-5525<NA><NA>서울특별시 강서구 화곡동 일반번지 ***-*<NA><NA>그린미디어2017-11-20 10:36:26I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23150000200231501002420000320020817<NA>4취소/말소/만료/정지/중지7직권말소20130618<NA><NA>2002081702-695-6560<NA><NA>서울특별시 강서구 화곡동 일반번지 ***-**<NA><NA>(주)그린씨엔아이2014-03-04 09:42:48I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
33150000200231501002420000420020828<NA>3폐업3폐업처리20050428<NA><NA>2002082802-2603-1386<NA><NA>서울특별시 강서구 화곡동 일반번지 ***-**<NA><NA>유일통상2008-06-03 13:54:47I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43150000200231501002420000520020828<NA>4취소/말소/만료/정지/중지7직권말소20130618<NA><NA>2002082802-2602-4051<NA><NA>서울특별시 강서구 화곡동 일반번지 ****-**<NA><NA>KTB유통2014-03-04 09:41:52I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53150000200231501002420000620020903<NA>3폐업3폐업처리20030609<NA><NA>2002090302-2607-1025<NA><NA>서울특별시 강서구 화곡동 일반번지 ***-**<NA><NA>KTTS2008-06-03 13:53:40I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63150000200231501002420000720020912<NA>3폐업3폐업처리20121121<NA><NA>2002091202-2605-0884<NA><NA>서울특별시 강서구 화곡동 일반번지 ***-*<NA><NA>(주)엔터기술2012-11-22 10:00:50I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
73150000200231501002420000820021014<NA>3폐업3폐업처리20031105<NA><NA>2002101402-659-4378<NA><NA>서울특별시 강서구 등촌동 일반번지 ***-*<NA><NA>한경리치웨이클럽2007-10-10 17:15:20I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83150000200231501002420000920021016<NA>4취소/말소/만료/정지/중지7직권말소20130314<NA><NA>2002101602-2606-4730<NA><NA>서울특별시 강서구 화곡동 일반번지 **-***<NA><NA>조상의뿌리연구편찬위원회2013-03-15 15:14:46I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93150000200231501002420001020021111<NA>4취소/말소/만료/정지/중지7직권말소20171120<NA><NA>2002111102-662-8132<NA><NA>서울특별시 강서구 공항동 일반번지 **-*<NA><NA>한국토탈정보센타2017-11-20 10:35:48I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
317315000020233150200242000122014-09-01<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-569-5613<NA><NA>서울특별시 강서구 등촌동 *** 등촌 지와인 아파트, 비즈니스센터서울특별시 강서구 양천로 ***, **,**,**층 (등촌동, 등촌 지와인 아파트, 비즈니스센터)7553(주) 위드네트웍스2023-12-06 15:50:58I2022-11-02 00:08:00.0<NA><NA><NA><NA><NA><NA><NA>
318315000020233150200242000132023-12-13<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-8657-1050<NA><NA>서울특별시 강서구 내발산동 ***-** 신원메디칼프라자서울특별시 강서구 강서로**길 ***, 신원메디칼프라자 *층 ***-c***호 (내발산동)7635삼성컴퍼니2023-12-13 15:17:10I2022-11-01 23:05:00.0<NA>184636.533441450143.872075<NA><NA><NA><NA>
319315000020233150200242000142023-12-21<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-*서울특별시 강서구 공항대로 ***, **층 ****호 (마곡동)7802단하나마케팅2024-02-28 19:40:56U2023-12-03 00:01:00.0<NA>184988.438404450841.104426<NA><NA><NA><NA>
320315000020243150200242000012024-01-18<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-786-6478<NA><NA>서울특별시 강서구 등촌동 *** 등촌 지와인 아파트, 비즈니스센터서울특별시 강서구 양천로 ***, **층 ****호 (등촌동, 등촌 지와인 아파트, 비즈니스센터)7553㈜하이진테크2024-01-18 09:57:12I2023-11-30 22:00:00.0<NA><NA><NA><NA><NA><NA><NA>
321315000020243150200242000022024-01-19<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 ***-** 신원메디칼프라자서울특별시 강서구 강서로**길 ***, 신원메디칼프라자 *층 ***호 (내발산동)7635206커머스2024-01-20 22:21:02I2023-11-30 22:02:00.0<NA>184636.533441450143.872075<NA><NA><NA><NA>
322315000020243150200242000032024-01-18<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 문영 퀸즈파크**차서울특별시 강서구 공항대로 ***, 문영 퀸즈파크**차 ***호 (마곡동)7631주식회사연우바이오2024-01-20 22:25:56I2023-11-30 22:02:00.0<NA>184825.67632450763.336623<NA><NA><NA><NA>
323315000020243150200242000042018-06-22<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-7209-5376<NA><NA>서울특별시 강서구 화곡동 ****-** 성원빌딩서울특별시 강서구 화곡로 ***, 성원빌딩 *층 ***호 (화곡동)7700체험 주식회사2024-01-29 12:45:12I2023-11-30 21:01:00.0<NA>186003.865793449001.956669<NA><NA><NA><NA>
324315000020243150200242000052022-12-01<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3665-6092<NA><NA>서울특별시 강서구 등촌동 ***서울특별시 강서구 양천로 *** (등촌동)7573에이치디(HD)투어존(주)2024-04-16 19:02:17I2023-12-03 23:08:00.0<NA>186026.901278451688.493849<NA><NA><NA><NA>
325315000020243150200242000062024-04-26<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 매그넘***서울특별시 강서구 마곡중앙*로 **, 매그넘*** **층 ****호, ****호 (마곡동)7803주식회사 더클릭2024-04-29 16:23:36I2023-12-05 00:01:00.0<NA>185340.743671450856.828691<NA><NA><NA><NA>
326315000020243150200242000072024-05-07<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-*서울특별시 강서구 화곡로**길 **, ****호 (등촌동)7548에이치에스 컴퍼니2024-05-07 19:26:48I2023-12-05 00:09:00.0<NA>187142.520159450809.366186<NA><NA><NA><NA>