Overview

Dataset statistics

Number of variables31
Number of observations71
Missing cells969
Missing cells (%)44.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory265.9 B

Variable types

Categorical12
Numeric3
DateTime3
Unsupported10
Text3

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),환경업무구분명,폐기물처리업구분명,폐기물처리업별처리구분명,폐기물구분명,허용보관량,허용보관량내용
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-19305/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (74.7%)Imbalance
영업상태명 is highly imbalanced (74.7%)Imbalance
상세영업상태코드 is highly imbalanced (74.7%)Imbalance
상세영업상태명 is highly imbalanced (74.7%)Imbalance
폐업일자 is highly imbalanced (84.0%)Imbalance
환경업무구분명 is highly imbalanced (53.5%)Imbalance
인허가취소일자 has 71 (100.0%) missing valuesMissing
휴업시작일자 has 71 (100.0%) missing valuesMissing
휴업종료일자 has 71 (100.0%) missing valuesMissing
재개업일자 has 71 (100.0%) missing valuesMissing
전화번호 has 62 (87.3%) missing valuesMissing
소재지면적 has 71 (100.0%) missing valuesMissing
도로명주소 has 44 (62.0%) missing valuesMissing
도로명우편번호 has 67 (94.4%) missing valuesMissing
업태구분명 has 71 (100.0%) missing valuesMissing
좌표정보(X) has 43 (60.6%) missing valuesMissing
좌표정보(Y) has 43 (60.6%) missing valuesMissing
폐기물처리업별처리구분명 has 71 (100.0%) missing valuesMissing
폐기물구분명 has 71 (100.0%) missing valuesMissing
허용보관량 has 71 (100.0%) missing valuesMissing
허용보관량내용 has 71 (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
재개업일자 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
폐기물처리업별처리구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기물구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허용보관량 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허용보관량내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:05:07.218269
Analysis finished2024-04-06 10:05:07.747506
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
3030000
71 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 71
100.0%

Length

2024-04-06T19:05:07.861590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:08.036765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 71
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0300009 × 1017
Minimum3.0300009 × 1017
Maximum3.0300009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-06T19:05:08.214845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0300009 × 1017
5-th percentile3.0300009 × 1017
Q13.0300009 × 1017
median3.0300009 × 1017
Q33.0300009 × 1017
95-th percentile3.0300009 × 1017
Maximum3.0300009 × 1017
Range1500000
Interquartile range (IQR)100032

Descriptive statistics

Standard deviation239628.26
Coefficient of variation (CV)7.9085211 × 10-13
Kurtosis28.265558
Mean3.0300009 × 1017
Median Absolute Deviation (MAD)0
Skewness5.2401352
Sum3.0662625 × 1018
Variance5.7421704 × 1010
MonotonicityStrictly increasing
2024-04-06T19:05:08.548789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303000092200600001 1
 
1.4%
303000092200600002 1
 
1.4%
303000092200700025 1
 
1.4%
303000092200700024 1
 
1.4%
303000092200700023 1
 
1.4%
303000092200700022 1
 
1.4%
303000092200700021 1
 
1.4%
303000092200700020 1
 
1.4%
303000092200700019 1
 
1.4%
303000092200700018 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
303000092200600001 1
1.4%
303000092200600002 1
1.4%
303000092200600003 1
1.4%
303000092200600004 1
1.4%
303000092200600005 1
1.4%
303000092200600006 1
1.4%
303000092200600007 1
1.4%
303000092200600008 1
1.4%
303000092200600009 1
1.4%
303000092200600010 1
1.4%
ValueCountFrequency (%)
303000092202100001 1
1.4%
303000092202000001 1
1.4%
303000092201000001 1
1.4%
303000092200700040 1
1.4%
303000092200700039 1
1.4%
303000092200700038 1
1.4%
303000092200700037 1
1.4%
303000092200700036 1
1.4%
303000092200700035 1
1.4%
303000092200700034 1
1.4%

인허가일자
Date

Distinct65
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2006-05-03 00:00:00
Maximum2024-01-03 00:00:00
2024-04-06T19:05:08.789630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:05:09.008110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
1
68 
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
95.8%
3 3
 
4.2%

Length

2024-04-06T19:05:09.233790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:09.414147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
95.8%
3 3
 
4.2%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
영업/정상
68 
폐업
 
3

Length

Max length5
Median length5
Mean length4.8732394
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 68
95.8%
폐업 3
 
4.2%

Length

2024-04-06T19:05:09.605574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:09.783717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 68
95.8%
폐업 3
 
4.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
BBBB
68 
2
 
3

Length

Max length4
Median length4
Mean length3.8732394
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBBBB
2nd row2
3rd rowBBBB
4th rowBBBB
5th rowBBBB

Common Values

ValueCountFrequency (%)
BBBB 68
95.8%
2 3
 
4.2%

Length

2024-04-06T19:05:09.967100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:10.161307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 68
95.8%
2 3
 
4.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
영업
68 
폐업
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업
2nd row폐업
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 68
95.8%
폐업 3
 
4.2%

Length

2024-04-06T19:05:10.321107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:10.491046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 68
95.8%
폐업 3
 
4.2%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
68 
20170608
 
1
20070731
 
1
20090616
 
1

Length

Max length8
Median length4
Mean length4.1690141
Min length4

Unique

Unique3 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row20170608
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 68
95.8%
20170608 1
 
1.4%
20070731 1
 
1.4%
20090616 1
 
1.4%

Length

2024-04-06T19:05:10.740871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:10.943495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
95.8%
20170608 1
 
1.4%
20070731 1
 
1.4%
20090616 1
 
1.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

전화번호
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing62
Missing (%)87.3%
Memory size700.0 B
2024-04-06T19:05:11.184336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4444444
Min length8

Characters and Unicode

Total characters85
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

Unique7 ?
Unique (%)77.8%

Sample

1st row0222130045
2nd row2217-6375
3rd row2217-0006
4th row22170006
5th row344-2209
ValueCountFrequency (%)
0222130045 2
22.2%
2217-6375 1
11.1%
2217-0006 1
11.1%
22170006 1
11.1%
344-2209 1
11.1%
466-2371 1
11.1%
02-6225-0233 1
11.1%
02-497-1588 1
11.1%
2024-04-06T19:05:11.673572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 20
23.5%
0 16
18.8%
- 8
 
9.4%
1 7
 
8.2%
3 7
 
8.2%
4 6
 
7.1%
7 6
 
7.1%
6 6
 
7.1%
5 5
 
5.9%
9 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77
90.6%
Dash Punctuation 8
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
26.0%
0 16
20.8%
1 7
 
9.1%
3 7
 
9.1%
4 6
 
7.8%
7 6
 
7.8%
6 6
 
7.8%
5 5
 
6.5%
9 2
 
2.6%
8 2
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20
23.5%
0 16
18.8%
- 8
 
9.4%
1 7
 
8.2%
3 7
 
8.2%
4 6
 
7.1%
7 6
 
7.1%
6 6
 
7.1%
5 5
 
5.9%
9 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 20
23.5%
0 16
18.8%
- 8
 
9.4%
1 7
 
8.2%
3 7
 
8.2%
4 6
 
7.1%
7 6
 
7.1%
6 6
 
7.1%
5 5
 
5.9%
9 2
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

소재지우편번호
Categorical

Distinct9
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size700.0 B
133170
48 
133160
8 
133-160
 
3
133110
 
3
<NA>
 
3
Other values (4)
6 

Length

Max length7
Median length6
Mean length5.9859155
Min length4

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row133-160
2nd row133170
3rd row133170
4th row133-170
5th row133170

Common Values

ValueCountFrequency (%)
133170 48
67.6%
133160 8
 
11.3%
133-160 3
 
4.2%
133110 3
 
4.2%
<NA> 3
 
4.2%
133-170 2
 
2.8%
133112 2
 
2.8%
133080 1
 
1.4%
133094 1
 
1.4%

Length

2024-04-06T19:05:11.928445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:12.196882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
133170 48
67.6%
133160 8
 
11.3%
133-160 3
 
4.2%
133110 3
 
4.2%
na 3
 
4.2%
133-170 2
 
2.8%
133112 2
 
2.8%
133080 1
 
1.4%
133094 1
 
1.4%

지번주소
Categorical

Distinct25
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
서울특별시 성동구 용답동 235-4 번지
15 
서울특별시 성동구 송정동 73-37 번지
7 
서울특별시 성동구 용답동 235-4번지 유선빌딩 7층
6 
서울특별시 성동구 용답동 235-5 번지 인원빌딩 5층
6 
서울특별시 성동구 용답동 235-5 번지
4 
Other values (20)
33 

Length

Max length35
Median length32
Mean length26.774648
Min length19

Unique

Unique11 ?
Unique (%)15.5%

Sample

1st row서울특별시 성동구 용답동 235-5
2nd row서울특별시 성동구 용답동 99-2번지
3rd row서울특별시 성동구 용답동 235-2번지 금풍빌딩 305호
4th row서울특별시 성동구 용답동 235-4
5th row서울특별시 성동구 용답동 235-2 번지

Common Values

ValueCountFrequency (%)
서울특별시 성동구 용답동 235-4 번지 15
21.1%
서울특별시 성동구 송정동 73-37 번지 7
 
9.9%
서울특별시 성동구 용답동 235-4번지 유선빌딩 7층 6
 
8.5%
서울특별시 성동구 용답동 235-5 번지 인원빌딩 5층 6
 
8.5%
서울특별시 성동구 용답동 235-5 번지 4
 
5.6%
서울특별시 성동구 용답동 235-4 번지 유선빌딩 7층 4
 
5.6%
서울특별시 성동구 용답동 235-2번지 금풍빌딩 305호 3
 
4.2%
서울특별시 성동구 성수동1가 656-971 번지 3
 
4.2%
서울특별시 성동구 용답동 235-5 2
 
2.8%
서울특별시 성동구 성수동1가 656-971번지 2
 
2.8%
Other values (15) 19
26.8%

Length

2024-04-06T19:05:12.932936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 71
18.7%
성동구 71
18.7%
용답동 53
14.0%
번지 43
11.3%
235-4 20
 
5.3%
235-5 12
 
3.2%
유선빌딩 10
 
2.6%
7층 10
 
2.6%
송정동 9
 
2.4%
235-4번지 8
 
2.1%
Other values (24) 72
19.0%

도로명주소
Text

MISSING 

Distinct18
Distinct (%)66.7%
Missing44
Missing (%)62.0%
Memory size700.0 B
2024-04-06T19:05:13.226696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length30.481481
Min length24

Characters and Unicode

Total characters823
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)51.9%

Sample

1st row서울특별시 성동구 천호대로 440 (용답동)
2nd row서울특별시 성동구 천호대로 282 (용답동)
3rd row서울특별시 성동구 천호대로 432 (용답동,금풍빌딩 305호)
4th row서울특별시 성동구 천호대로 438 (용답동, 유선빌딩 7층)
5th row서울특별시 성동구 왕십리로14길 8 (성수동1가)
ValueCountFrequency (%)
서울특별시 27
17.4%
성동구 27
17.4%
천호대로 21
13.5%
용답동 10
 
6.5%
438 9
 
5.8%
7층 7
 
4.5%
용답동,유선빌딩 6
 
3.9%
432 5
 
3.2%
440 5
 
3.2%
용답동,금풍빌딩 4
 
2.6%
Other values (24) 34
21.9%
2024-04-06T19:05:13.761941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
17.6%
동 56
 
6.8%
성 32
 
3.9%
호 29
 
3.5%
4 29
 
3.5%
서 28
 
3.4%
시 28
 
3.4%
울 27
 
3.3%
( 27
 
3.3%
) 27
 
3.3%
Other values (42) 395
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
59.7%
Space Separator 145
 
17.6%
Decimal Number 117
 
14.2%
Open Punctuation 27
 
3.3%
Close Punctuation 27
 
3.3%
Other Punctuation 16
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
11.4%
성 32
 
6.5%
호 29
 
5.9%
서 28
 
5.7%
시 28
 
5.7%
울 27
 
5.5%
구 27
 
5.5%
특 27
 
5.5%
별 27
 
5.5%
로 25
 
5.1%
Other values (29) 185
37.7%
Decimal Number
ValueCountFrequency (%)
4 29
24.8%
3 21
17.9%
8 16
13.7%
2 15
12.8%
0 12
10.3%
1 9
 
7.7%
7 8
 
6.8%
5 6
 
5.1%
6 1
 
0.9%
Space Separator
ValueCountFrequency (%)
145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
59.7%
Common 332
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
11.4%
성 32
 
6.5%
호 29
 
5.9%
서 28
 
5.7%
시 28
 
5.7%
울 27
 
5.5%
구 27
 
5.5%
특 27
 
5.5%
별 27
 
5.5%
로 25
 
5.1%
Other values (29) 185
37.7%
Common
ValueCountFrequency (%)
145
43.7%
4 29
 
8.7%
( 27
 
8.1%
) 27
 
8.1%
3 21
 
6.3%
8 16
 
4.8%
, 16
 
4.8%
2 15
 
4.5%
0 12
 
3.6%
1 9
 
2.7%
Other values (3) 15
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
59.7%
ASCII 332
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
43.7%
4 29
 
8.7%
( 27
 
8.1%
) 27
 
8.1%
3 21
 
6.3%
8 16
 
4.8%
, 16
 
4.8%
2 15
 
4.5%
0 12
 
3.6%
1 9
 
2.7%
Other values (3) 15
 
4.5%
Hangul
ValueCountFrequency (%)
동 56
 
11.4%
성 32
 
6.5%
호 29
 
5.9%
서 28
 
5.7%
시 28
 
5.7%
울 27
 
5.5%
구 27
 
5.5%
특 27
 
5.5%
별 27
 
5.5%
로 25
 
5.1%
Other values (29) 185
37.7%

도로명우편번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing67
Missing (%)94.4%
Memory size700.0 B
2024-04-06T19:05:13.996994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6
Min length5

Characters and Unicode

Total characters24
Distinct characters10
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

Unique4 ?
Unique (%)100.0%

Sample

1st row133-170
2nd row133-850
3rd row04798
4th row04776
ValueCountFrequency (%)
133-170 1
25.0%
133-850 1
25.0%
04798 1
25.0%
04776 1
25.0%
2024-04-06T19:05:14.489877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4
16.7%
7 4
16.7%
0 4
16.7%
1 3
12.5%
- 2
8.3%
8 2
8.3%
4 2
8.3%
5 1
 
4.2%
9 1
 
4.2%
6 1
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22
91.7%
Dash Punctuation 2
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4
18.2%
7 4
18.2%
0 4
18.2%
1 3
13.6%
8 2
9.1%
4 2
9.1%
5 1
 
4.5%
9 1
 
4.5%
6 1
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4
16.7%
7 4
16.7%
0 4
16.7%
1 3
12.5%
- 2
8.3%
8 2
8.3%
4 2
8.3%
5 1
 
4.2%
9 1
 
4.2%
6 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4
16.7%
7 4
16.7%
0 4
16.7%
1 3
12.5%
- 2
8.3%
8 2
8.3%
4 2
8.3%
5 1
 
4.2%
9 1
 
4.2%
6 1
 
4.2%

사업장명
Categorical

Distinct12
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size700.0 B
만강건설(주)
27 
(주)도성개발
23 
(주)대아 이디아이
7 
성원이앤아이(주)
6 
준원중기
 
1
Other values (7)
7 

Length

Max length10
Median length7
Mean length7.4507042
Min length4

Unique

Unique8 ?
Unique (%)11.3%

Sample

1st row(주)도성개발
2nd row준원중기
3rd row(주)대아 이디아이
4th row만강건설(주)
5th row(주)대아 이디아이

Common Values

ValueCountFrequency (%)
만강건설(주) 27
38.0%
(주)도성개발 23
32.4%
(주)대아 이디아이 7
 
9.9%
성원이앤아이(주) 6
 
8.5%
준원중기 1
 
1.4%
(주)대아이디아이 1
 
1.4%
중앙환경 1
 
1.4%
만강건설 1
 
1.4%
개별화물환경 1
 
1.4%
앤에스시스템(주) 1
 
1.4%
Other values (2) 2
 
2.8%

Length

2024-04-06T19:05:14.848824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
만강건설(주 27
34.2%
주)도성개발 23
29.1%
주)대아 7
 
8.9%
이디아이 7
 
8.9%
성원이앤아이(주 6
 
7.6%
준원중기 1
 
1.3%
주)대아이디아이 1
 
1.3%
중앙환경 1
 
1.3%
만강건설 1
 
1.3%
개별화물환경 1
 
1.3%
Other values (4) 4
 
5.1%

최종수정일자
Date

Distinct26
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2007-07-14 10:55:26
Maximum2024-02-19 15:02:28
2024-04-06T19:05:15.179765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:05:15.381591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
I
63 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 63
88.7%
U 8
 
11.3%

Length

2024-04-06T19:05:15.588353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:15.771301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 63
88.7%
u 8
 
11.3%

데이터갱신일자
Date

Distinct6
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:01:00
2024-04-06T19:05:16.052839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:05:16.266674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)32.1%
Missing43
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean205422.83
Minimum201720.07
Maximum205921.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-06T19:05:16.474601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201720.07
5-th percentile203891.16
Q1205486.3
median205866.33
Q3205895.02
95-th percentile205921.7
Maximum205921.7
Range4201.6308
Interquartile range (IQR)408.72209

Descriptive statistics

Standard deviation952.66741
Coefficient of variation (CV)0.0046375928
Kurtosis7.9395008
Mean205422.83
Median Absolute Deviation (MAD)42.031439
Skewness-2.6584306
Sum5751839.1
Variance907575.2
MonotonicityNot monotonic
2024-04-06T19:05:16.636596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
205895.022955723 9
 
12.7%
205921.703469803 5
 
7.0%
205837.640591417 5
 
7.0%
204541.9030886 2
 
2.8%
203891.163492283 2
 
2.8%
205486.300862045 2
 
2.8%
201720.072672897 1
 
1.4%
205628.634233264 1
 
1.4%
204799.750078838 1
 
1.4%
(Missing) 43
60.6%
ValueCountFrequency (%)
201720.072672897 1
 
1.4%
203891.163492283 2
 
2.8%
204541.9030886 2
 
2.8%
204799.750078838 1
 
1.4%
205486.300862045 2
 
2.8%
205628.634233264 1
 
1.4%
205837.640591417 5
7.0%
205895.022955723 9
12.7%
205921.703469803 5
7.0%
ValueCountFrequency (%)
205921.703469803 5
7.0%
205895.022955723 9
12.7%
205837.640591417 5
7.0%
205628.634233264 1
 
1.4%
205486.300862045 2
 
2.8%
204799.750078838 1
 
1.4%
204541.9030886 2
 
2.8%
203891.163492283 2
 
2.8%
201720.072672897 1
 
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)32.1%
Missing43
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean450605.71
Minimum448317.87
Maximum451607.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-06T19:05:16.837892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448317.87
5-th percentile449201.23
Q1450661.94
median450936.73
Q3450939.29
95-th percentile451376.11
Maximum451607.19
Range3289.3157
Interquartile range (IQR)277.34644

Descriptive statistics

Standard deviation766.40084
Coefficient of variation (CV)0.0017008236
Kurtosis1.893216
Mean450605.71
Median Absolute Deviation (MAD)7.6970814
Skewness-1.4958675
Sum12616960
Variance587370.25
MonotonicityNot monotonic
2024-04-06T19:05:17.003653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
450936.729727466 9
 
12.7%
450931.561948791 5
 
7.0%
450946.956111573 5
 
7.0%
451607.18811355 2
 
2.8%
449681.827864988 2
 
2.8%
449853.073688806 2
 
2.8%
449487.831694226 1
 
1.4%
449046.902952195 1
 
1.4%
448317.872400495 1
 
1.4%
(Missing) 43
60.6%
ValueCountFrequency (%)
448317.872400495 1
 
1.4%
449046.902952195 1
 
1.4%
449487.831694226 1
 
1.4%
449681.827864988 2
 
2.8%
449853.073688806 2
 
2.8%
450931.561948791 5
7.0%
450936.729727466 9
12.7%
450946.956111573 5
7.0%
451607.18811355 2
 
2.8%
ValueCountFrequency (%)
451607.18811355 2
 
2.8%
450946.956111573 5
7.0%
450936.729727466 9
12.7%
450931.561948791 5
7.0%
449853.073688806 2
 
2.8%
449681.827864988 2
 
2.8%
449487.831694226 1
 
1.4%
449046.902952195 1
 
1.4%
448317.872400495 1
 
1.4%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
건설폐기물처리업사업계획(허가)신청
64 
<NA>
7 

Length

Max length18
Median length18
Mean length16.619718
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row건설폐기물처리업사업계획(허가)신청
3rd row건설폐기물처리업사업계획(허가)신청
4th row<NA>
5th row건설폐기물처리업사업계획(허가)신청

Common Values

ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 64
90.1%
<NA> 7
 
9.9%

Length

2024-04-06T19:05:17.230478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:17.511076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 64
90.1%
na 7
 
9.9%

폐기물처리업구분명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
60 
수집운반업(건설폐기물)
11 

Length

Max length12
Median length4
Mean length5.2394366
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row수집운반업(건설폐기물)
3rd row수집운반업(건설폐기물)
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 60
84.5%
수집운반업(건설폐기물) 11
 
15.5%

Length

2024-04-06T19:05:17.786560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:18.071417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
84.5%
수집운반업(건설폐기물 11
 
15.5%

폐기물처리업별처리구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

폐기물구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

허용보관량
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

허용보관량내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
030300003030000922006000012023-12-26<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0222130045<NA>133-160서울특별시 성동구 용답동 235-5서울특별시 성동구 천호대로 440 (용답동)<NA>(주)도성개발2023-12-26 10:03:34U2022-11-01 22:08:00.0<NA>205921.70347450931.561949<NA><NA><NA><NA><NA><NA>
1303000030300009220060000220170608<NA>3폐업2폐업20170608<NA><NA><NA>2217-6375<NA>133170서울특별시 성동구 용답동 99-2번지서울특별시 성동구 천호대로 282 (용답동)<NA>준원중기2017-06-08 17:56:04I2018-08-31 23:59:59.0<NA>204541.903089451607.188114건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
2303000030300009220060000320100209<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-2번지 금풍빌딩 305호서울특별시 성동구 천호대로 432 (용답동,금풍빌딩 305호)<NA>(주)대아 이디아이2012-06-15 17:22:19I2018-08-31 23:59:59.0<NA>205837.640591450946.956112건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
330300003030000922006000042023-02-10<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2217-0006<NA>133-170서울특별시 성동구 용답동 235-4서울특별시 성동구 천호대로 438 (용답동, 유선빌딩 7층)133-170만강건설(주)2023-12-26 09:59:32U2022-11-01 22:08:00.0<NA>205895.022956450936.729727<NA><NA><NA><NA><NA><NA>
4303000030300009220060000520060503<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-2 번지<NA><NA>(주)대아 이디아이2007-07-14 10:55:26I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
5303000030300009220060000620060714<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133110서울특별시 성동구 성수동1가 656-971번지서울특별시 성동구 왕십리로14길 8 (성수동1가)<NA>성원이앤아이(주)2018-12-28 15:44:37U2018-12-30 02:40:00.0<NA>203891.163492449681.827865건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
6303000030300009220060000720060516<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133160서울특별시 성동구 송정동 73-37 번지<NA><NA>(주)도성개발2007-07-14 10:55:26I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
730300003030000922006000082024-01-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133-170서울특별시 성동구 용답동 235-2 금풍빌딩 305호서울특별시 성동구 천호대로 432 (용답동,금풍빌딩 305호)<NA>(주)대아이디아이2024-02-19 15:02:28U2023-12-01 22:01:00.0<NA>205837.640591450946.956112<NA><NA><NA><NA><NA><NA>
8303000030300009220060000920060630<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133080서울특별시 성동구 응봉동 3-1 번지<NA><NA>중앙환경2007-07-14 10:55:26I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
9303000030300009220060001020100727<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133160서울특별시 성동구 송정동 73-37번지<NA><NA>(주)도성개발2011-06-30 13:25:55I2018-08-31 23:59:59.0<NA>205486.300862449853.073689건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
61303000030300009220070003420070620<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-5 번지 인원빌딩 5층<NA><NA>(주)도성개발2007-07-14 10:55:26I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
62303000030300009220070003520070620<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-5번지서울특별시 성동구 천호대로 440 (용답동)<NA>(주)도성개발2008-02-22 14:33:35I2018-08-31 23:59:59.0<NA>205921.70347450931.561949건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
63303000030300009220070003620091218<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133112서울특별시 성동구 성수동1가 656-971번지서울특별시 성동구 왕십리로14길 8 (성수동1가)<NA>성원이앤아이(주)2009-12-18 09:16:01I2018-08-31 23:59:59.0<NA>203891.163492449681.827865건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
64303000030300009220070003720070706<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-2번지서울특별시 성동구 천호대로 432 (용답동)<NA>(주)대아 이디아이2007-10-12 16:00:27I2018-08-31 23:59:59.0<NA>205837.640591450946.956112건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
65303000030300009220070003820070712<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-4 번지 유선빌딩 7층<NA><NA>만강건설(주)2007-07-14 10:55:26I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
66303000030300009220070003920070712<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-4 번지 유선빌딩 7층<NA><NA>만강건설(주)2007-07-14 10:55:26I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
67303000030300009220070004020070712<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 235-4번지 유선빌딩 7층서울특별시 성동구 천호대로 438 (용답동,유선빌딩 7층)<NA>만강건설(주)2008-04-03 13:39:37I2018-08-31 23:59:59.0<NA>205895.022956450936.729727건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
6830300003030000922010000012023-11-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA>466-2371<NA>133-160서울특별시 성동구 송정동 73-37 승산빌딩서울특별시 성동구 자동차시장1길 81, 801호 (용답동)133-850성원이앤아이(주)2023-12-26 09:56:04U2022-11-01 22:08:00.0<NA>205486.300862449853.073689<NA><NA><NA><NA><NA><NA>
69303000030300009220200000120210402<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6225-0233<NA><NA>서울특별시 성동구 성수동2가 19-2 선빌딩서울특별시 성동구 동일로 123, 선빌딩 2층층 238호 (성수동2가)04798주식회사 모빌이앤디2022-09-19 17:41:51U2021-12-08 22:01:00.0<NA>205628.634233449046.902952<NA><NA><NA><NA><NA><NA>
70303000030300009220210000120210827<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-497-1588<NA><NA>서울특별시 성동구 성수동2가 561-1 승재빌딩 302호서울특별시 성동구 성덕정길 106, 승재빌딩 302호 (성수동2가)04776열린정보장애인협회2022-04-04 08:57:20U2021-12-04 00:07:00.0<NA>204799.750079448317.8724<NA><NA><NA><NA><NA><NA>