Overview

Dataset statistics

Number of variables29
Number of observations266
Missing cells2843
Missing cells (%)36.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.1 KiB
Average record size in memory250.5 B

Variable types

Categorical7
Numeric9
DateTime3
Unsupported6
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18781/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (53.8%)Imbalance
데이터갱신일자 is highly imbalanced (70.7%)Imbalance
인허가취소일자 has 266 (100.0%) missing valuesMissing
폐업일자 has 35 (13.2%) missing valuesMissing
휴업시작일자 has 266 (100.0%) missing valuesMissing
휴업종료일자 has 266 (100.0%) missing valuesMissing
재개업일자 has 170 (63.9%) missing valuesMissing
전화번호 has 31 (11.7%) missing valuesMissing
소재지면적 has 266 (100.0%) missing valuesMissing
소재지우편번호 has 146 (54.9%) missing valuesMissing
지번주소 has 5 (1.9%) missing valuesMissing
도로명주소 has 84 (31.6%) missing valuesMissing
도로명우편번호 has 160 (60.2%) missing valuesMissing
업태구분명 has 266 (100.0%) missing valuesMissing
좌표정보(X) has 84 (31.6%) missing valuesMissing
좌표정보(Y) has 84 (31.6%) missing valuesMissing
자산규모 has 149 (56.0%) missing valuesMissing
부채총액 has 150 (56.4%) missing valuesMissing
자본금 has 149 (56.0%) missing valuesMissing
판매방식명 has 266 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 33 (12.4%) zerosZeros
부채총액 has 70 (26.3%) zerosZeros
자본금 has 28 (10.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:35:41.042830
Analysis finished2024-05-11 06:35:41.611426
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3040000
266 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 266
100.0%

Length

2024-05-11T15:35:41.680870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:41.785401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 266
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.010383 × 1018
Minimum2.002304 × 1018
Maximum2.024304 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:41.915112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002304 × 1018
5-th percentile2.003304 × 1018
Q12.005304 × 1018
median2.008304 × 1018
Q32.014304 × 1018
95-th percentile2.023304 × 1018
Maximum2.024304 × 1018
Range2.2000009 × 1016
Interquartile range (IQR)9.0000065 × 1015

Descriptive statistics

Standard deviation6.0355402 × 1015
Coefficient of variation (CV)0.0030021843
Kurtosis-0.35589663
Mean2.010383 × 1018
Median Absolute Deviation (MAD)3.0000052 × 1015
Skewness0.78364938
Sum-1.9371066 × 1017
Variance3.6427746 × 1031
MonotonicityStrictly increasing
2024-05-11T15:35:42.108290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002304010324200001 1
 
0.4%
2012304016824200004 1
 
0.4%
2011304015524200004 1
 
0.4%
2011304015524200005 1
 
0.4%
2011304015524200006 1
 
0.4%
2011304015524200007 1
 
0.4%
2011304015524200008 1
 
0.4%
2011304015524200009 1
 
0.4%
2011304015524200010 1
 
0.4%
2011304015524200011 1
 
0.4%
Other values (256) 256
96.2%
ValueCountFrequency (%)
2002304010324200001 1
0.4%
2002304010324200002 1
0.4%
2002304010324200003 1
0.4%
2002304010324200004 1
0.4%
2002304010324200005 1
0.4%
2002304010324200006 1
0.4%
2002304010324200007 1
0.4%
2002304010324200008 1
0.4%
2002304010324200009 1
0.4%
2002304010324200010 1
0.4%
ValueCountFrequency (%)
2024304019024200006 1
0.4%
2024304019024200005 1
0.4%
2024304019024200004 1
0.4%
2024304019024200003 1
0.4%
2024304019024200002 1
0.4%
2024304019024200001 1
0.4%
2023304019024200010 1
0.4%
2023304019024200009 1
0.4%
2023304019024200008 1
0.4%
2023304019024200007 1
0.4%

인허가일자
Date

Distinct239
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2002-09-02 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T15:35:42.300326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:42.522668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing266
Missing (%)100.0%
Memory size2.5 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
133 
4
99 
1
33 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 133
50.0%
4 99
37.2%
1 33
 
12.4%
5 1
 
0.4%

Length

2024-05-11T15:35:42.735286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:42.947863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 133
50.0%
4 99
37.2%
1 33
 
12.4%
5 1
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
133 
취소/말소/만료/정지/중지
99 
영업/정상
33 
제외/삭제/전출
 
1

Length

Max length14
Median length11
Mean length6.8609023
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 133
50.0%
취소/말소/만료/정지/중지 99
37.2%
영업/정상 33
 
12.4%
제외/삭제/전출 1
 
0.4%

Length

2024-05-11T15:35:43.138380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:43.265836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 133
50.0%
취소/말소/만료/정지/중지 99
37.2%
영업/정상 33
 
12.4%
제외/삭제/전출 1
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
133 
7
99 
1
33 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 133
50.0%
7 99
37.2%
1 33
 
12.4%
5 1
 
0.4%

Length

2024-05-11T15:35:43.396068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:43.507664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 133
50.0%
7 99
37.2%
1 33
 
12.4%
5 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업처리
133 
직권말소
99 
정상영업
33 
타시군구이관
 
1

Length

Max length6
Median length4
Mean length4.0075188
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 133
50.0%
직권말소 99
37.2%
정상영업 33
 
12.4%
타시군구이관 1
 
0.4%

Length

2024-05-11T15:35:43.638920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:43.761279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 133
50.0%
직권말소 99
37.2%
정상영업 33
 
12.4%
타시군구이관 1
 
0.4%

폐업일자
Date

MISSING 

Distinct141
Distinct (%)61.0%
Missing35
Missing (%)13.2%
Memory size2.2 KiB
Minimum2003-02-19 00:00:00
Maximum2023-07-19 00:00:00
2024-05-11T15:35:43.884608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:44.057698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing266
Missing (%)100.0%
Memory size2.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing266
Missing (%)100.0%
Memory size2.5 KiB

재개업일자
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)83.3%
Missing170
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean20045463
Minimum20020902
Maximum20070528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:44.273861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020902
5-th percentile20021016
Q120030831
median20050409
Q320051122
95-th percentile20070248
Maximum20070528
Range49626
Interquartile range (IQR)20291.25

Descriptive statistics

Standard deviation14605.945
Coefficient of variation (CV)0.00072864096
Kurtosis-0.84105074
Mean20045463
Median Absolute Deviation (MAD)10089
Skewness-0.15463229
Sum1.9243644 × 109
Variance2.1333363 × 108
MonotonicityIncreasing
2024-05-11T15:35:44.480282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050401 3
 
1.1%
20030324 2
 
0.8%
20070528 2
 
0.8%
20050510 2
 
0.8%
20021030 2
 
0.8%
20021204 2
 
0.8%
20050609 2
 
0.8%
20051122 2
 
0.8%
20050830 2
 
0.8%
20050928 2
 
0.8%
Other values (70) 75
28.2%
(Missing) 170
63.9%
ValueCountFrequency (%)
20020902 1
0.4%
20020904 1
0.4%
20020909 1
0.4%
20020927 1
0.4%
20021014 1
0.4%
20021016 1
0.4%
20021030 2
0.8%
20021125 1
0.4%
20021204 2
0.8%
20021230 1
0.4%
ValueCountFrequency (%)
20070528 2
0.8%
20070510 1
0.4%
20070405 1
0.4%
20070308 1
0.4%
20070228 1
0.4%
20070226 1
0.4%
20070125 1
0.4%
20070119 1
0.4%
20060811 2
0.8%
20060731 1
0.4%

전화번호
Text

MISSING 

Distinct213
Distinct (%)90.6%
Missing31
Missing (%)11.7%
Memory size2.2 KiB
2024-05-11T15:35:44.758991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length11.319149
Min length8

Characters and Unicode

Total characters2660
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)85.1%

Sample

1st row02-463-5454
2nd row02-928-4005
3rd row02-0000-0000
4th row02-3437-9000
5th row02-452-1559
ValueCountFrequency (%)
02-0000-0000 8
 
3.4%
070-4060-3155 3
 
1.3%
02-455-1518 3
 
1.3%
02-3424-1888 3
 
1.3%
02-3424-6058 2
 
0.9%
02-2201-4875 2
 
0.9%
02-484-7171 2
 
0.9%
02-446-9188 2
 
0.9%
02-456-8601 2
 
0.9%
02-3019-0300 2
 
0.9%
Other values (203) 206
87.7%
2024-05-11T15:35:45.200900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 490
18.4%
- 449
16.9%
2 356
13.4%
4 283
10.6%
5 217
8.2%
6 169
 
6.4%
1 164
 
6.2%
3 156
 
5.9%
8 146
 
5.5%
7 130
 
4.9%
Other values (5) 100
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2206
82.9%
Dash Punctuation 449
 
16.9%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 490
22.2%
2 356
16.1%
4 283
12.8%
5 217
9.8%
6 169
 
7.7%
1 164
 
7.4%
3 156
 
7.1%
8 146
 
6.6%
7 130
 
5.9%
9 95
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 449
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 490
18.4%
- 449
16.9%
2 356
13.4%
4 283
10.6%
5 217
8.2%
6 169
 
6.4%
1 164
 
6.2%
3 156
 
5.9%
8 146
 
5.5%
7 130
 
4.9%
Other values (5) 100
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 490
18.4%
- 449
16.9%
2 356
13.4%
4 283
10.6%
5 217
8.2%
6 169
 
6.4%
1 164
 
6.2%
3 156
 
5.9%
8 146
 
5.5%
7 130
 
4.9%
Other values (5) 100
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing266
Missing (%)100.0%
Memory size2.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)22.5%
Missing146
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean143395.27
Minimum143130
Maximum143959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:45.386459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143130
5-th percentile143150
Q1143190
median143220
Q3143802
95-th percentile143898.05
Maximum143959
Range829
Interquartile range (IQR)612

Descriptive statistics

Standard deviation304.18051
Coefficient of variation (CV)0.0021212729
Kurtosis-1.1961175
Mean143395.27
Median Absolute Deviation (MAD)30
Skewness0.86385145
Sum17207433
Variance92525.781
MonotonicityNot monotonic
2024-05-11T15:35:45.520796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
143220 24
 
9.0%
143200 22
 
8.3%
143190 14
 
5.3%
143150 7
 
2.6%
143180 6
 
2.3%
143130 5
 
1.9%
143210 5
 
1.9%
143721 5
 
1.9%
143822 3
 
1.1%
143802 3
 
1.1%
Other values (17) 26
 
9.8%
(Missing) 146
54.9%
ValueCountFrequency (%)
143130 5
 
1.9%
143150 7
 
2.6%
143180 6
 
2.3%
143190 14
5.3%
143200 22
8.3%
143210 5
 
1.9%
143220 24
9.0%
143721 5
 
1.9%
143802 3
 
1.1%
143822 3
 
1.1%
ValueCountFrequency (%)
143959 1
 
0.4%
143915 1
 
0.4%
143914 1
 
0.4%
143912 2
0.8%
143899 1
 
0.4%
143898 3
1.1%
143891 3
1.1%
143890 1
 
0.4%
143888 1
 
0.4%
143874 1
 
0.4%

지번주소
Text

MISSING 

Distinct165
Distinct (%)63.2%
Missing5
Missing (%)1.9%
Memory size2.2 KiB
2024-05-11T15:35:45.806270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length44
Mean length27.367816
Min length13

Characters and Unicode

Total characters7143
Distinct characters126
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)46.4%

Sample

1st row서울특별시 광진구 화양동 일반번지**-**
2nd row서울특별시 광진구 군자동 일반번지 ***-**
3rd row서울특별시 광진구 중곡동 일반번지 ***-**
4th row서울특별시 광진구 구의동 일반번지 **-**
5th row서울특별시 광진구 중곡동 일반번지 ***-*
ValueCountFrequency (%)
서울특별시 261
17.7%
광진구 261
17.7%
호 164
11.1%
번지 143
9.7%
137
9.3%
중곡동 77
 
5.2%
구의동 75
 
5.1%
일반번지 74
 
5.0%
층 59
 
4.0%
자양동 36
 
2.4%
Other values (82) 188
12.7%
2024-05-11T15:35:46.316082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1445
20.2%
* 1418
19.9%
구 336
 
4.7%
광 276
 
3.9%
동 275
 
3.8%
진 267
 
3.7%
서 261
 
3.7%
특 261
 
3.7%
별 261
 
3.7%
시 261
 
3.7%
Other values (116) 2082
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4130
57.8%
Space Separator 1445
 
20.2%
Other Punctuation 1425
 
19.9%
Dash Punctuation 121
 
1.7%
Uppercase Letter 19
 
0.3%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 336
 
8.1%
광 276
 
6.7%
동 275
 
6.7%
진 267
 
6.5%
서 261
 
6.3%
특 261
 
6.3%
별 261
 
6.3%
시 261
 
6.3%
울 261
 
6.3%
지 226
 
5.5%
Other values (103) 1445
35.0%
Uppercase Letter
ValueCountFrequency (%)
C 5
26.3%
D 5
26.3%
K 2
 
10.5%
B 2
 
10.5%
T 2
 
10.5%
M 1
 
5.3%
F 1
 
5.3%
A 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 1418
99.5%
, 7
 
0.5%
Space Separator
ValueCountFrequency (%)
1445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4130
57.8%
Common 2994
41.9%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 336
 
8.1%
광 276
 
6.7%
동 275
 
6.7%
진 267
 
6.5%
서 261
 
6.3%
특 261
 
6.3%
별 261
 
6.3%
시 261
 
6.3%
울 261
 
6.3%
지 226
 
5.5%
Other values (103) 1445
35.0%
Latin
ValueCountFrequency (%)
C 5
26.3%
D 5
26.3%
K 2
 
10.5%
B 2
 
10.5%
T 2
 
10.5%
M 1
 
5.3%
F 1
 
5.3%
A 1
 
5.3%
Common
ValueCountFrequency (%)
1445
48.3%
* 1418
47.4%
- 121
 
4.0%
, 7
 
0.2%
~ 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4130
57.8%
ASCII 3013
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1445
48.0%
* 1418
47.1%
- 121
 
4.0%
, 7
 
0.2%
C 5
 
0.2%
D 5
 
0.2%
~ 3
 
0.1%
K 2
 
0.1%
B 2
 
0.1%
T 2
 
0.1%
Other values (3) 3
 
0.1%
Hangul
ValueCountFrequency (%)
구 336
 
8.1%
광 276
 
6.7%
동 275
 
6.7%
진 267
 
6.5%
서 261
 
6.3%
특 261
 
6.3%
별 261
 
6.3%
시 261
 
6.3%
울 261
 
6.3%
지 226
 
5.5%
Other values (103) 1445
35.0%

도로명주소
Text

MISSING 

Distinct163
Distinct (%)89.6%
Missing84
Missing (%)31.6%
Memory size2.2 KiB
2024-05-11T15:35:46.691940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length32.467033
Min length21

Characters and Unicode

Total characters5909
Distinct characters141
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)82.4%

Sample

1st row서울특별시 광진구 동일로 *** (화양동, 순풍빌딩)
2nd row서울특별시 아차산로**길 ** (크레스코빌딩 ***호)
3rd row서울특별시 광진구 능동로**길 ** (화양동)
4th row서울특별시 광진구 광나루로**길 ** (구의동,테크노마트 *층 C**~**)
5th row서울특별시 광진구 능동로 *** (중곡동, 성학빌딩)
ValueCountFrequency (%)
195
17.2%
서울특별시 182
16.0%
광진구 181
16.0%
층 68
 
6.0%
호 57
 
5.0%
중곡동 43
 
3.8%
능동로 42
 
3.7%
구의동 24
 
2.1%
자양동 23
 
2.0%
아차산로 20
 
1.8%
Other values (130) 299
26.4%
2024-05-11T15:35:47.258111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 986
16.7%
952
16.1%
동 262
 
4.4%
구 237
 
4.0%
광 205
 
3.5%
, 197
 
3.3%
진 187
 
3.2%
서 182
 
3.1%
로 182
 
3.1%
) 182
 
3.1%
Other values (131) 2337
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3352
56.7%
Other Punctuation 1185
 
20.1%
Space Separator 952
 
16.1%
Close Punctuation 182
 
3.1%
Open Punctuation 182
 
3.1%
Uppercase Letter 28
 
0.5%
Dash Punctuation 25
 
0.4%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 262
 
7.8%
구 237
 
7.1%
광 205
 
6.1%
진 187
 
5.6%
서 182
 
5.4%
로 182
 
5.4%
울 182
 
5.4%
시 182
 
5.4%
별 182
 
5.4%
특 182
 
5.4%
Other values (115) 1369
40.8%
Uppercase Letter
ValueCountFrequency (%)
D 6
21.4%
B 6
21.4%
C 6
21.4%
K 4
14.3%
S 2
 
7.1%
T 2
 
7.1%
A 1
 
3.6%
M 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
* 986
83.2%
, 197
 
16.6%
& 2
 
0.2%
Space Separator
ValueCountFrequency (%)
952
100.0%
Close Punctuation
ValueCountFrequency (%)
) 182
100.0%
Open Punctuation
ValueCountFrequency (%)
( 182
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3352
56.7%
Common 2529
42.8%
Latin 28
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 262
 
7.8%
구 237
 
7.1%
광 205
 
6.1%
진 187
 
5.6%
서 182
 
5.4%
로 182
 
5.4%
울 182
 
5.4%
시 182
 
5.4%
별 182
 
5.4%
특 182
 
5.4%
Other values (115) 1369
40.8%
Common
ValueCountFrequency (%)
* 986
39.0%
952
37.6%
, 197
 
7.8%
) 182
 
7.2%
( 182
 
7.2%
- 25
 
1.0%
~ 3
 
0.1%
& 2
 
0.1%
Latin
ValueCountFrequency (%)
D 6
21.4%
B 6
21.4%
C 6
21.4%
K 4
14.3%
S 2
 
7.1%
T 2
 
7.1%
A 1
 
3.6%
M 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3352
56.7%
ASCII 2557
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 986
38.6%
952
37.2%
, 197
 
7.7%
) 182
 
7.1%
( 182
 
7.1%
- 25
 
1.0%
D 6
 
0.2%
B 6
 
0.2%
C 6
 
0.2%
K 4
 
0.2%
Other values (6) 11
 
0.4%
Hangul
ValueCountFrequency (%)
동 262
 
7.8%
구 237
 
7.1%
광 205
 
6.1%
진 187
 
5.6%
서 182
 
5.4%
로 182
 
5.4%
울 182
 
5.4%
시 182
 
5.4%
별 182
 
5.4%
특 182
 
5.4%
Other values (115) 1369
40.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)54.7%
Missing160
Missing (%)60.2%
Infinite0
Infinite (%)0.0%
Mean62631.953
Minimum4900
Maximum143917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:47.487290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4900
5-th percentile4919
Q14980.5
median5053
Q3143841
95-th percentile143899
Maximum143917
Range139017
Interquartile range (IQR)138860.5

Descriptive statistics

Standard deviation68748.535
Coefficient of variation (CV)1.0976591
Kurtosis-1.9142659
Mean62631.953
Median Absolute Deviation (MAD)125
Skewness0.34959359
Sum6638987
Variance4.7263611 × 109
MonotonicityNot monotonic
2024-05-11T15:35:48.084904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4928 7
 
2.6%
143802 6
 
2.3%
143899 5
 
1.9%
4930 4
 
1.5%
143874 4
 
1.5%
143837 3
 
1.1%
4929 3
 
1.1%
4997 3
 
1.1%
5116 3
 
1.1%
5026 3
 
1.1%
Other values (48) 65
24.4%
(Missing) 160
60.2%
ValueCountFrequency (%)
4900 1
 
0.4%
4915 2
 
0.8%
4917 1
 
0.4%
4918 1
 
0.4%
4919 2
 
0.8%
4928 7
2.6%
4929 3
1.1%
4930 4
1.5%
4934 1
 
0.4%
4935 1
 
0.4%
ValueCountFrequency (%)
143917 1
 
0.4%
143915 1
 
0.4%
143912 2
 
0.8%
143899 5
1.9%
143898 3
1.1%
143890 1
 
0.4%
143885 1
 
0.4%
143874 4
1.5%
143866 1
 
0.4%
143862 2
 
0.8%

사업장명
Text

Distinct262
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T15:35:48.394610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length8.075188
Min length2

Characters and Unicode

Total characters2148
Distinct characters358
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

Unique258 ?
Unique (%)97.0%

Sample

1st row(주)이즈정보시스템
2nd row(사)열린정보장애인협회
3rd row(주)아이프라자
4th row(주)현풍네츄럴싸이언스
5th row한양닷컴
ValueCountFrequency (%)
주식회사 40
 
11.4%
주 3
 
0.9%
한국장애인바르게살기협회 2
 
0.6%
이가정보통신 2
 
0.6%
주)고려인삼라인 2
 
0.6%
삼성생활건강주식회사 2
 
0.6%
라이프 2
 
0.6%
대부중개 2
 
0.6%
올레그린투어 1
 
0.3%
주)그랜드투어 1
 
0.3%
Other values (295) 295
83.8%
2024-05-11T15:35:48.786432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 128
 
6.0%
) 92
 
4.3%
( 92
 
4.3%
87
 
4.1%
이 87
 
4.1%
스 65
 
3.0%
회 58
 
2.7%
사 57
 
2.7%
식 46
 
2.1%
에 43
 
2.0%
Other values (348) 1393
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1750
81.5%
Close Punctuation 92
 
4.3%
Open Punctuation 92
 
4.3%
Space Separator 87
 
4.1%
Uppercase Letter 64
 
3.0%
Lowercase Letter 40
 
1.9%
Decimal Number 14
 
0.7%
Other Punctuation 8
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 128
 
7.3%
이 87
 
5.0%
스 65
 
3.7%
회 58
 
3.3%
사 57
 
3.3%
식 46
 
2.6%
에 43
 
2.5%
아 29
 
1.7%
신 29
 
1.7%
보 28
 
1.6%
Other values (297) 1180
67.4%
Uppercase Letter
ValueCountFrequency (%)
K 6
 
9.4%
C 6
 
9.4%
S 5
 
7.8%
A 5
 
7.8%
T 4
 
6.2%
L 4
 
6.2%
M 4
 
6.2%
N 4
 
6.2%
D 3
 
4.7%
P 3
 
4.7%
Other values (9) 20
31.2%
Lowercase Letter
ValueCountFrequency (%)
o 6
15.0%
e 5
12.5%
t 4
10.0%
y 3
 
7.5%
n 3
 
7.5%
r 2
 
5.0%
w 2
 
5.0%
a 2
 
5.0%
l 2
 
5.0%
m 2
 
5.0%
Other values (7) 9
22.5%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
2 3
21.4%
9 2
 
14.3%
5 1
 
7.1%
6 1
 
7.1%
7 1
 
7.1%
0 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
& 1
 
12.5%
: 1
 
12.5%
# 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1750
81.5%
Common 294
 
13.7%
Latin 104
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 128
 
7.3%
이 87
 
5.0%
스 65
 
3.7%
회 58
 
3.3%
사 57
 
3.3%
식 46
 
2.6%
에 43
 
2.5%
아 29
 
1.7%
신 29
 
1.7%
보 28
 
1.6%
Other values (297) 1180
67.4%
Latin
ValueCountFrequency (%)
K 6
 
5.8%
o 6
 
5.8%
C 6
 
5.8%
S 5
 
4.8%
A 5
 
4.8%
e 5
 
4.8%
t 4
 
3.8%
T 4
 
3.8%
L 4
 
3.8%
M 4
 
3.8%
Other values (26) 55
52.9%
Common
ValueCountFrequency (%)
) 92
31.3%
( 92
31.3%
87
29.6%
1 5
 
1.7%
. 5
 
1.7%
2 3
 
1.0%
9 2
 
0.7%
& 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
Other values (5) 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1750
81.5%
ASCII 397
 
18.5%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 128
 
7.3%
이 87
 
5.0%
스 65
 
3.7%
회 58
 
3.3%
사 57
 
3.3%
식 46
 
2.6%
에 43
 
2.5%
아 29
 
1.7%
신 29
 
1.7%
보 28
 
1.6%
Other values (297) 1180
67.4%
ASCII
ValueCountFrequency (%)
) 92
23.2%
( 92
23.2%
87
21.9%
K 6
 
1.5%
o 6
 
1.5%
C 6
 
1.5%
S 5
 
1.3%
1 5
 
1.3%
A 5
 
1.3%
. 5
 
1.3%
Other values (40) 88
22.2%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

최종수정일자
Date

Distinct228
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2007-07-06 17:42:40
Maximum2024-05-07 15:52:03
2024-05-11T15:35:48.968034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:49.140572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
240 
U
26 

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 240
90.2%
U 26
 
9.8%

Length

2024-05-11T15:35:49.353068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:49.493048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 240
90.2%
u 26
 
9.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct41
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2018-08-31 23:59:59.0
220 
2018-11-01 02:37:44.0
 
3
2021-10-31 00:06:00.0
 
3
2022-12-08 22:00:00.0
 
2
2022-12-06 22:03:00.0
 
2
Other values (36)
36 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique36 ?
Unique (%)13.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
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 23:59:59.0 220
82.7%
2018-11-01 02:37:44.0 3
 
1.1%
2021-10-31 00:06:00.0 3
 
1.1%
2022-12-08 22:00:00.0 2
 
0.8%
2022-12-06 22:03:00.0 2
 
0.8%
2019-02-15 02:40:00.0 1
 
0.4%
2021-04-18 02:40:00.0 1
 
0.4%
2023-12-01 23:08:00.0 1
 
0.4%
2021-12-06 00:08:00.0 1
 
0.4%
2018-11-03 02:37:45.0 1
 
0.4%
Other values (31) 31
 
11.7%

Length

2024-05-11T15:35:49.631011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 220
41.4%
23:59:59.0 220
41.4%
02:40:00.0 10
 
1.9%
2018-11-01 3
 
0.6%
02:37:44.0 3
 
0.6%
2021-10-31 3
 
0.6%
00:06:00.0 3
 
0.6%
22:00:00.0 3
 
0.6%
2022-12-06 3
 
0.6%
22:08:00.0 3
 
0.6%
Other values (47) 61
 
11.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing266
Missing (%)100.0%
Memory size2.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)69.2%
Missing84
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean207308.96
Minimum205561.05
Maximum209734.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:49.779418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205561.05
5-th percentile205916.26
Q1206852.03
median207188.34
Q3207764.53
95-th percentile208394.42
Maximum209734.22
Range4173.1729
Interquartile range (IQR)912.49629

Descriptive statistics

Standard deviation823.03068
Coefficient of variation (CV)0.0039700681
Kurtosis1.3485582
Mean207308.96
Median Absolute Deviation (MAD)368.98212
Skewness0.67002022
Sum37730230
Variance677379.5
MonotonicityNot monotonic
2024-05-11T15:35:49.957310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 9
 
3.4%
207072.800336685 6
 
2.3%
207114.406978584 5
 
1.9%
209637.078215509 5
 
1.9%
208124.549163942 4
 
1.5%
207252.097980647 4
 
1.5%
207388.308848516 4
 
1.5%
207082.19653446 3
 
1.1%
206930.096793526 3
 
1.1%
207770.197118183 3
 
1.1%
Other values (116) 136
51.1%
(Missing) 84
31.6%
ValueCountFrequency (%)
205561.045696547 1
 
0.4%
205606.03952062 1
 
0.4%
205670.658328053 3
1.1%
205687.121975807 1
 
0.4%
205718.881246721 1
 
0.4%
205870.30262996 1
 
0.4%
205884.401039681 1
 
0.4%
205910.132577972 1
 
0.4%
206032.60582752 1
 
0.4%
206123.383284799 3
1.1%
ValueCountFrequency (%)
209734.218553133 1
 
0.4%
209668.90120464 1
 
0.4%
209637.078215509 5
1.9%
209506.54940258 1
 
0.4%
209138.04726487 1
 
0.4%
208394.416382167 9
3.4%
208337.285048617 1
 
0.4%
208296.833808974 1
 
0.4%
208189.434497483 1
 
0.4%
208143.339194157 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)69.2%
Missing84
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean449580.62
Minimum447808.7
Maximum452102.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:50.125409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447808.7
5-th percentile448078.99
Q1448509.86
median449832.49
Q3450586.07
95-th percentile450968.17
Maximum452102.35
Range4293.6465
Interquartile range (IQR)2076.207

Descriptive statistics

Standard deviation1115.3968
Coefficient of variation (CV)0.0024809716
Kurtosis-1.4418513
Mean449580.62
Median Absolute Deviation (MAD)959.96274
Skewness-0.063893634
Sum81823673
Variance1244109.9
MonotonicityNot monotonic
2024-05-11T15:35:50.301206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 9
 
3.4%
450764.939696563 6
 
2.3%
450968.166497544 5
 
1.9%
449832.485937903 5
 
1.9%
447812.924832297 4
 
1.5%
448588.146822062 4
 
1.5%
448313.517465433 4
 
1.5%
450786.420735596 3
 
1.1%
450421.476067528 3
 
1.1%
448131.0613924 3
 
1.1%
Other values (116) 136
51.1%
(Missing) 84
31.6%
ValueCountFrequency (%)
447808.702246311 1
 
0.4%
447812.924832297 4
1.5%
447841.302645982 1
 
0.4%
447998.485634998 1
 
0.4%
447998.924380413 1
 
0.4%
448041.471751176 1
 
0.4%
448078.661498061 1
 
0.4%
448085.242458867 1
 
0.4%
448090.402837116 3
1.1%
448097.003523252 1
 
0.4%
ValueCountFrequency (%)
452102.348791392 1
 
0.4%
452022.542039327 1
 
0.4%
451226.012107709 1
 
0.4%
451203.789886941 1
 
0.4%
451186.404408623 1
 
0.4%
450993.600445969 1
 
0.4%
450990.441894505 2
 
0.8%
450968.166497544 5
1.9%
450953.281007512 1
 
0.4%
450950.763731476 1
 
0.4%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)41.9%
Missing149
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean2.6970533 × 109
Minimum0
Maximum1.1111111 × 1011
Zeros33
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:50.447778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39928564
Q33.3044856 × 108
95-th percentile4.5642375 × 109
Maximum1.1111111 × 1011
Range1.1111111 × 1011
Interquartile range (IQR)3.3044856 × 108

Descriptive statistics

Standard deviation1.4739685 × 1010
Coefficient of variation (CV)5.4651069
Kurtosis50.154579
Mean2.6970533 × 109
Median Absolute Deviation (MAD)39928564
Skewness7.0345874
Sum3.1555523 × 1011
Variance2.172583 × 1020
MonotonicityNot monotonic
2024-05-11T15:35:50.686041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 33
 
12.4%
50000000 11
 
4.1%
10000000 11
 
4.1%
30000000 8
 
3.0%
1111111111 5
 
1.9%
100000000 4
 
1.5%
111111111111 2
 
0.8%
474580161 2
 
0.8%
3007078752 1
 
0.4%
196326199 1
 
0.4%
Other values (39) 39
 
14.7%
(Missing) 149
56.0%
ValueCountFrequency (%)
0 33
12.4%
100000 1
 
0.4%
10000000 11
 
4.1%
15202529 1
 
0.4%
19258464 1
 
0.4%
20000000 1
 
0.4%
22577759 1
 
0.4%
30000000 8
 
3.0%
32000000 1
 
0.4%
39928564 1
 
0.4%
ValueCountFrequency (%)
111111111111 2
0.8%
25086484000 1
0.4%
24545464300 1
0.4%
6438478903 1
0.4%
5721816506 1
0.4%
4274842755 1
0.4%
3069819841 1
0.4%
3007078752 1
0.4%
1642359509 1
0.4%
1514772396 1
0.4%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)37.1%
Missing150
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean3.3569119 × 108
Minimum0
Maximum1.1111111 × 1010
Zeros70
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:35:50.895627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q363390188
95-th percentile1.7887872 × 109
Maximum1.1111111 × 1010
Range1.1111111 × 1010
Interquartile range (IQR)63390188

Descriptive statistics

Standard deviation1.1936279 × 109
Coefficient of variation (CV)3.555732
Kurtosis58.842599
Mean3.3569119 × 108
Median Absolute Deviation (MAD)0
Skewness6.9584979
Sum3.8940178 × 1010
Variance1.4247475 × 1018
MonotonicityNot monotonic
2024-05-11T15:35:51.079589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 70
26.3%
1111111111 2
 
0.8%
1111111 2
 
0.8%
10000000 2
 
0.8%
510656924 2
 
0.8%
11111 1
 
0.4%
2648355309 1
 
0.4%
144377626 1
 
0.4%
232367072 1
 
0.4%
2644376335 1
 
0.4%
Other values (33) 33
 
12.4%
(Missing) 150
56.4%
ValueCountFrequency (%)
0 70
26.3%
11111 1
 
0.4%
22222 1
 
0.4%
1111111 2
 
0.8%
1765171 1
 
0.4%
1848442 1
 
0.4%
4259905 1
 
0.4%
5000000 1
 
0.4%
6177980 1
 
0.4%
10000000 2
 
0.8%
ValueCountFrequency (%)
11111111111 1
0.4%
3723418521 1
0.4%
2648355309 1
0.4%
2644376335 1
0.4%
2605289729 1
0.4%
2304490547 1
0.4%
1616886020 1
0.4%
1591582000 1
0.4%
1375858847 1
0.4%
1111111111 2
0.8%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)29.1%
Missing149
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean2.2917705 × 109
Minimum-38961786
Maximum1.1111111 × 1011
Zeros28
Zeros (%)10.5%
Negative1
Negative (%)0.4%
Memory size2.5 KiB
2024-05-11T15:35:51.272678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-38961786
5-th percentile0
Q1100000
median50000000
Q31 × 108
95-th percentile3.5842992 × 109
Maximum1.1111111 × 1011
Range1.1115007 × 1011
Interquartile range (IQR)99900000

Descriptive statistics

Standard deviation1.4507767 × 1010
Coefficient of variation (CV)6.3303751
Kurtosis54.396377
Mean2.2917705 × 109
Median Absolute Deviation (MAD)50000000
Skewness7.4033152
Sum2.6813715 × 1011
Variance2.1047529 × 1020
MonotonicityNot monotonic
2024-05-11T15:35:51.436933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 28
 
10.5%
50000000 24
 
9.0%
10000000 11
 
4.1%
30000000 6
 
2.3%
20000000 5
 
1.9%
100000000 5
 
1.9%
200000000 4
 
1.5%
150000000 3
 
1.1%
111111111 3
 
1.1%
11111111111 2
 
0.8%
Other values (24) 26
 
9.8%
(Missing) 149
56.0%
ValueCountFrequency (%)
-38961786 1
 
0.4%
0 28
10.5%
100000 1
 
0.4%
852059 1
 
0.4%
5000000 2
 
0.8%
9132836 1
 
0.4%
10000000 11
 
4.1%
20000000 5
 
1.9%
24709828 1
 
0.4%
30000000 6
 
2.3%
ValueCountFrequency (%)
111111111111 2
0.8%
11111111111 2
0.8%
7000000000 1
0.4%
5455388784 1
0.4%
3116526777 1
0.4%
1111111111 1
0.4%
551424234 1
0.4%
550000000 1
0.4%
425443506 1
0.4%
400833276 1
0.4%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing266
Missing (%)100.0%
Memory size2.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03040000200230401032420000120020902<NA>4취소/말소/만료/정지/중지7직권말소20100430<NA><NA>2002090202-463-5454<NA><NA>서울특별시 광진구 화양동 일반번지**-**<NA><NA>(주)이즈정보시스템2010-05-07 17:19:11I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
13040000200230401032420000220020904<NA>3폐업3폐업처리20070109<NA><NA>2002090402-928-4005<NA><NA>서울특별시 광진구 군자동 일반번지 ***-**<NA><NA>(사)열린정보장애인협회2008-01-31 11:28:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23040000200230401032420000320020909<NA>3폐업3폐업처리<NA><NA><NA>2002090902-0000-0000<NA><NA>서울특별시 광진구 중곡동 일반번지 ***-**<NA><NA>(주)아이프라자2008-01-31 11:28:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33040000200230401032420000420020927<NA>3폐업3폐업처리20080416<NA><NA>2002092702-3437-9000<NA><NA>서울특별시 광진구 구의동 일반번지 **-**<NA><NA>(주)현풍네츄럴싸이언스2008-04-17 09:59:30I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43040000200230401032420000520021014<NA>4취소/말소/만료/정지/중지7직권말소20100430<NA><NA>2002101402-452-1559<NA><NA>서울특별시 광진구 중곡동 일반번지 ***-*<NA><NA>한양닷컴2010-05-07 17:14:26I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
53040000200230401032420000620021016<NA>3폐업3폐업처리20030701<NA><NA>2002101602-498-5454<NA><NA>서울특별시 광진구 화양동 일반번지 **-**<NA><NA>참교육2008-01-31 11:28:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63040000200230401032420000720021030<NA>3폐업3폐업처리20030915<NA><NA>2002103002-305-8868<NA><NA>서울특별시 광진구 구의동 일반번지 ***-**<NA><NA>피어나2008-01-31 11:28:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73040000200230401032420000820021030<NA>3폐업3폐업처리20030731<NA><NA>2002103002-452-6141<NA><NA>서울특별시 광진구 중곡동 일반번지 ***-*<NA><NA>폭스커뮤니케이션2008-01-31 11:28:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83040000200230401032420000920021125<NA>3폐업3폐업처리20030630<NA><NA>2002112502-464-4400<NA><NA>서울특별시 광진구 화양동 일반번지 ***-**<NA><NA>(주)고려인삼라인2008-01-31 11:28:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93040000200230401032420001020021204<NA>3폐업3폐업처리20031128<NA><NA>2002120402-2204-8800<NA><NA>서울특별시 광진구 구의동 일반번지 ***-*<NA><NA>(주)새롬기술2008-01-31 11:28:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
256304000020233040190242000072023-11-16<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-**서울특별시 광진구 아차산로**길 ** (구의동)5043삼성생활건강주식회사2023-11-16 17:54:07I2022-10-31 23:08:00.0<NA>207497.400923448594.810991<NA><NA><NA><NA>
257304000020233040190242000082023-01-10<NA>1영업/정상1정상영업<NA><NA><NA><NA>070.4353.7008<NA><NA>서울특별시 광진구 능동 ***-* 원빌딩서울특별시 광진구 천호대로 ***, 원빌딩 *층 ***호 (능동)4987(주)플랫폼더블유2023-11-29 20:04:40I2022-11-02 00:01:00.0<NA>207430.593059450270.915722<NA><NA><NA><NA>
258304000020233040190242000092023-12-12<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 **-**서울특별시 광진구 자양로 ***-*, *층 (구의동)4975수빈컴퍼니2023-12-14 17:23:43I2022-11-01 23:06:00.0<NA>207802.08508449538.078239<NA><NA><NA><NA>
259304000020233040190242000102023-12-20<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-456-8802<NA><NA>서울특별시 광진구 구의동 ***-* 테크노-마트**서울특별시 광진구 광나루로**길 **, 테크노-마트** **층 *호 (구의동)5116주식회사 지음피앤브이2023-12-27 10:01:28I2022-11-01 22:09:00.0<NA>208394.416382448165.28<NA><NA><NA><NA>
260304000020243040190242000012024-01-10<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-1544-2127<NA><NA>서울특별시 광진구 구의동 ***-**서울특별시 광진구 구의로**길 **, *층 ***호 (구의동)5033아이피119정보통신 주식회사2024-01-10 11:12:49I2023-11-30 23:02:00.0<NA>208143.339194448992.82262<NA><NA><NA><NA>
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