Overview

Dataset statistics

Number of variables30
Number of observations52
Missing cells493
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory260.5 B

Variable types

Categorical8
Numeric6
DateTime3
Unsupported8
Text5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),사용목적,사용방법,월사용량,수용정원수,시설사용여부
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19117/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (79.5%)Imbalance
전화번호 is highly imbalanced (82.7%)Imbalance
인허가취소일자 has 52 (100.0%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
소재지우편번호 has 52 (100.0%) missing valuesMissing
지번주소 has 5 (9.6%) missing valuesMissing
도로명주소 has 10 (19.2%) missing valuesMissing
도로명우편번호 has 20 (38.5%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
좌표정보(X) has 14 (26.9%) missing valuesMissing
좌표정보(Y) has 14 (26.9%) missing valuesMissing
사용목적 has 3 (5.8%) missing valuesMissing
사용방법 has 4 (7.7%) missing valuesMissing
월사용량 has 3 (5.8%) missing valuesMissing
수용정원수 has 4 (7.7%) missing valuesMissing
시설사용여부 has 52 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
소재지우편번호 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
시설사용여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월사용량 has 3 (5.8%) zerosZeros
수용정원수 has 3 (5.8%) zerosZeros

Reproduction

Analysis started2024-04-06 10:23:33.161915
Analysis finished2024-04-06 10:23:33.948319
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
3150000
52 

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 52
100.0%

Length

2024-04-06T19:23:34.040722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:34.169636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 52
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172958 × 1018
Minimum2.003315 × 1018
Maximum2.024315 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:23:34.329503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003315 × 1018
5-th percentile2.007315 × 1018
Q12.016315 × 1018
median2.018315 × 1018
Q32.020315 × 1018
95-th percentile2.022315 × 1018
Maximum2.024315 × 1018
Range2.1000013 × 1016
Interquartile range (IQR)4.0000053 × 1015

Descriptive statistics

Standard deviation4.7133152 × 1015
Coefficient of variation (CV)0.0023364522
Kurtosis1.4772433
Mean2.0172958 × 1018
Median Absolute Deviation (MAD)2 × 1015
Skewness-1.3756652
Sum-5.7810836 × 1018
Variance2.221534 × 1031
MonotonicityStrictly increasing
2024-04-06T19:23:34.523892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2003315007402700001 1
 
1.9%
2018315015112200007 1
 
1.9%
2018315015112200009 1
 
1.9%
2018315015112200010 1
 
1.9%
2019315015112200001 1
 
1.9%
2019315015112200002 1
 
1.9%
2019315020412200001 1
 
1.9%
2019315020412200002 1
 
1.9%
2019315020412200003 1
 
1.9%
2019315020412200004 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
2003315007402700001 1
1.9%
2006315010002700001 1
1.9%
2007315010012200001 1
1.9%
2007315010012200031 1
1.9%
2007315010012200042 1
1.9%
2007315010012200043 1
1.9%
2010315012312200001 1
1.9%
2011315012312200001 1
1.9%
2016315015112200001 1
1.9%
2016315015112200002 1
1.9%
ValueCountFrequency (%)
2024315020412200002 1
1.9%
2024315020412200001 1
1.9%
2022315020412200002 1
1.9%
2022315020412200001 1
1.9%
2021315020412200006 1
1.9%
2021315020412200005 1
1.9%
2021315020412200004 1
1.9%
2021315020412200003 1
1.9%
2021315020412200002 1
1.9%
2021315020412200001 1
1.9%

인허가일자
Date

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2002-11-12 00:00:00
Maximum2024-02-16 00:00:00
2024-04-06T19:23:34.740277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:23:34.929496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
42 
2
7 
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
80.8%
2 7
 
13.5%
3 3
 
5.8%

Length

2024-04-06T19:23:35.116629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:35.251822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
80.8%
2 7
 
13.5%
3 3
 
5.8%

영업상태명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업/정상
42 
휴업
7 
폐업
 
3

Length

Max length5
Median length5
Mean length4.4230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 42
80.8%
휴업 7
 
13.5%
폐업 3
 
5.8%

Length

2024-04-06T19:23:35.448630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:35.609296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
80.8%
휴업 7
 
13.5%
폐업 3
 
5.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
BBBB
42 
1
7 
2
 
3

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 42
80.8%
1 7
 
13.5%
2 3
 
5.8%

Length

2024-04-06T19:23:35.786490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:35.956575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 42
80.8%
1 7
 
13.5%
2 3
 
5.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
42 
휴업처리
7 
폐업처리
 
3

Length

Max length4
Median length4
Mean length4
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> 42
80.8%
휴업처리 7
 
13.5%
폐업처리 3
 
5.8%

Length

2024-04-06T19:23:36.115434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:36.263400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
80.8%
휴업처리 7
 
13.5%
폐업처리 3
 
5.8%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
20190124
 
1
20200429
 
1
20201014
 
1

Length

Max length8
Median length4
Mean length4.2307692
Min length4

Unique

Unique3 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
94.2%
20190124 1
 
1.9%
20200429 1
 
1.9%
20201014 1
 
1.9%

Length

2024-04-06T19:23:36.461354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:36.650347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
20190124 1
 
1.9%
20200429 1
 
1.9%
20201014 1
 
1.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

전화번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
236631445
 
1
236639090
 
1

Length

Max length9
Median length4
Mean length4.1923077
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row236631445
2nd row236639090
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 50
96.2%
236631445 1
 
1.9%
236639090 1
 
1.9%

Length

2024-04-06T19:23:36.835466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:37.028889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
236631445 1
 
1.9%
236639090 1
 
1.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

지번주소
Text

MISSING 

Distinct33
Distinct (%)70.2%
Missing5
Missing (%)9.6%
Memory size548.0 B
2024-04-06T19:23:37.393147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length25.106383
Min length18

Characters and Unicode

Total characters1180
Distinct characters107
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)48.9%

Sample

1st row서울특별시 강서구 등촌동 631-4 번지
2nd row서울특별시 강서구 등촌동 628-9번지
3rd row서울특별시 강서구 가양동 92-1번지
4th row서울특별시 강서구 가양동 92-1번지
5th row서울특별시 강서구 가양동 92-1번지
ValueCountFrequency (%)
서울특별시 47
21.7%
강서구 47
21.7%
마곡동 15
 
6.9%
등촌동 12
 
5.5%
내발산동 6
 
2.8%
방화동 4
 
1.8%
화곡동 4
 
1.8%
657 4
 
1.8%
부민병원 4
 
1.8%
과해동 3
 
1.4%
Other values (50) 71
32.7%
2024-04-06T19:23:37.941454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
18.1%
서 99
 
8.4%
시 51
 
4.3%
강 50
 
4.2%
울 49
 
4.2%
동 48
 
4.1%
특 47
 
4.0%
별 47
 
4.0%
구 47
 
4.0%
6 31
 
2.6%
Other values (97) 497
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 726
61.5%
Space Separator 214
 
18.1%
Decimal Number 183
 
15.5%
Dash Punctuation 29
 
2.5%
Lowercase Letter 21
 
1.8%
Other Punctuation 3
 
0.3%
Close Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 99
13.6%
시 51
 
7.0%
강 50
 
6.9%
울 49
 
6.7%
동 48
 
6.6%
특 47
 
6.5%
별 47
 
6.5%
구 47
 
6.5%
지 30
 
4.1%
번 29
 
4.0%
Other values (76) 229
31.5%
Decimal Number
ValueCountFrequency (%)
6 31
16.9%
7 29
15.8%
1 22
12.0%
8 21
11.5%
2 18
9.8%
5 16
8.7%
0 15
8.2%
9 12
 
6.6%
3 11
 
6.0%
4 8
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
o 6
28.6%
n 6
28.6%
y 3
14.3%
l 3
14.3%
e 3
14.3%
Space Separator
ValueCountFrequency (%)
214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 726
61.5%
Common 432
36.6%
Latin 22
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 99
13.6%
시 51
 
7.0%
강 50
 
6.9%
울 49
 
6.7%
동 48
 
6.6%
특 47
 
6.5%
별 47
 
6.5%
구 47
 
6.5%
지 30
 
4.1%
번 29
 
4.0%
Other values (76) 229
31.5%
Common
ValueCountFrequency (%)
214
49.5%
6 31
 
7.2%
- 29
 
6.7%
7 29
 
6.7%
1 22
 
5.1%
8 21
 
4.9%
2 18
 
4.2%
5 16
 
3.7%
0 15
 
3.5%
9 12
 
2.8%
Other values (5) 25
 
5.8%
Latin
ValueCountFrequency (%)
o 6
27.3%
n 6
27.3%
y 3
13.6%
l 3
13.6%
e 3
13.6%
C 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 726
61.5%
ASCII 454
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
47.1%
6 31
 
6.8%
- 29
 
6.4%
7 29
 
6.4%
1 22
 
4.8%
8 21
 
4.6%
2 18
 
4.0%
5 16
 
3.5%
0 15
 
3.3%
9 12
 
2.6%
Other values (11) 47
 
10.4%
Hangul
ValueCountFrequency (%)
서 99
13.6%
시 51
 
7.0%
강 50
 
6.9%
울 49
 
6.7%
동 48
 
6.6%
특 47
 
6.5%
별 47
 
6.5%
구 47
 
6.5%
지 30
 
4.1%
번 29
 
4.0%
Other values (76) 229
31.5%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)71.4%
Missing10
Missing (%)19.2%
Memory size548.0 B
2024-04-06T19:23:38.335025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length29.738095
Min length22

Characters and Unicode

Total characters1249
Distinct characters113
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)54.8%

Sample

1st row서울특별시 강서구 강서로76길 29 (가양동)
2nd row서울특별시 강서구 하늘길 70 (과해동)
3rd row서울특별시 강서구 강서로56길 38 (등촌동)
4th row서울특별시 강서구 화곡로 416 (화곡동)
5th row서울특별시 강서구 하늘길 70 (과해동)
ValueCountFrequency (%)
서울특별시 42
17.2%
강서구 42
17.2%
마곡동 14
 
5.7%
공항대로 13
 
5.3%
등촌동 9
 
3.7%
하늘길 7
 
2.9%
지하 7
 
2.9%
화곡동 6
 
2.5%
강서로 5
 
2.0%
부민병원 4
 
1.6%
Other values (59) 95
38.9%
2024-04-06T19:23:38.930649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
16.2%
서 96
 
7.7%
강 52
 
4.2%
시 46
 
3.7%
동 46
 
3.7%
울 44
 
3.5%
) 44
 
3.5%
( 43
 
3.4%
특 42
 
3.4%
별 42
 
3.4%
Other values (103) 592
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
62.4%
Space Separator 202
 
16.2%
Decimal Number 128
 
10.2%
Close Punctuation 44
 
3.5%
Open Punctuation 43
 
3.4%
Other Punctuation 28
 
2.2%
Lowercase Letter 21
 
1.7%
Dash Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 96
 
12.3%
강 52
 
6.7%
시 46
 
5.9%
동 46
 
5.9%
울 44
 
5.6%
특 42
 
5.4%
별 42
 
5.4%
구 42
 
5.4%
로 37
 
4.7%
곡 32
 
4.1%
Other values (81) 301
38.6%
Decimal Number
ValueCountFrequency (%)
1 26
20.3%
0 15
11.7%
7 14
10.9%
2 14
10.9%
5 13
10.2%
3 12
9.4%
9 10
 
7.8%
8 10
 
7.8%
6 9
 
7.0%
4 5
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
o 6
28.6%
n 6
28.6%
y 3
14.3%
l 3
14.3%
e 3
14.3%
Other Punctuation
ValueCountFrequency (%)
, 25
89.3%
& 3
 
10.7%
Space Separator
ValueCountFrequency (%)
202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 780
62.4%
Common 447
35.8%
Latin 22
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 96
 
12.3%
강 52
 
6.7%
시 46
 
5.9%
동 46
 
5.9%
울 44
 
5.6%
특 42
 
5.4%
별 42
 
5.4%
구 42
 
5.4%
로 37
 
4.7%
곡 32
 
4.1%
Other values (81) 301
38.6%
Common
ValueCountFrequency (%)
202
45.2%
) 44
 
9.8%
( 43
 
9.6%
1 26
 
5.8%
, 25
 
5.6%
0 15
 
3.4%
7 14
 
3.1%
2 14
 
3.1%
5 13
 
2.9%
3 12
 
2.7%
Other values (6) 39
 
8.7%
Latin
ValueCountFrequency (%)
o 6
27.3%
n 6
27.3%
y 3
13.6%
l 3
13.6%
e 3
13.6%
C 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
62.4%
ASCII 469
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
43.1%
) 44
 
9.4%
( 43
 
9.2%
1 26
 
5.5%
, 25
 
5.3%
0 15
 
3.2%
7 14
 
3.0%
2 14
 
3.0%
5 13
 
2.8%
3 12
 
2.6%
Other values (12) 61
 
13.0%
Hangul
ValueCountFrequency (%)
서 96
 
12.3%
강 52
 
6.7%
시 46
 
5.9%
동 46
 
5.9%
울 44
 
5.6%
특 42
 
5.4%
별 42
 
5.4%
구 42
 
5.4%
로 37
 
4.7%
곡 32
 
4.1%
Other values (81) 301
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)59.4%
Missing20
Missing (%)38.5%
Infinite0
Infinite (%)0.0%
Mean7677
Minimum7505
Maximum7804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:23:39.133639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7505
Q17590
median7657
Q37793
95-th percentile7801.35
Maximum7804
Range299
Interquartile range (IQR)203

Descriptive statistics

Standard deviation106.19337
Coefficient of variation (CV)0.013832665
Kurtosis-1.4494922
Mean7677
Median Absolute Deviation (MAD)112.5
Skewness-0.10430293
Sum245664
Variance11277.032
MonotonicityNot monotonic
2024-04-06T19:23:39.279017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7590 4
 
7.7%
7793 4
 
7.7%
7505 3
 
5.8%
7591 2
 
3.8%
7702 2
 
3.8%
7800 2
 
3.8%
7646 2
 
3.8%
7797 2
 
3.8%
7698 1
 
1.9%
7668 1
 
1.9%
Other values (9) 9
17.3%
(Missing) 20
38.5%
ValueCountFrequency (%)
7505 3
5.8%
7540 1
 
1.9%
7549 1
 
1.9%
7590 4
7.7%
7591 2
3.8%
7629 1
 
1.9%
7632 1
 
1.9%
7639 1
 
1.9%
7646 2
3.8%
7668 1
 
1.9%
ValueCountFrequency (%)
7804 1
 
1.9%
7803 1
 
1.9%
7800 2
3.8%
7797 2
3.8%
7796 1
 
1.9%
7793 4
7.7%
7787 1
 
1.9%
7702 2
3.8%
7698 1
 
1.9%
7668 1
 
1.9%

사업장명
Text

Distinct39
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-06T19:23:39.637349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.0769231
Min length4

Characters and Unicode

Total characters472
Distinct characters126
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)55.8%

Sample

1st row삼신유리공업사
2nd row강서요양병원
3rd rowCJ제일제당(주)김포공장
4th rowCJ(주)김포공장
5th rowCJ(주)김포공장
ValueCountFrequency (%)
코오롱인더스트리(주 4
 
6.0%
의료법인 3
 
4.5%
부민서울병원 3
 
4.5%
우리들병원 3
 
4.5%
우리들 3
 
4.5%
주)에이치디한울종합건설 2
 
3.0%
강서송도병원 2
 
3.0%
참요양병원 2
 
3.0%
씨알케이주식회사 2
 
3.0%
의료재단 2
 
3.0%
Other values (37) 41
61.2%
2024-04-06T19:23:40.293527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 25
 
5.3%
주 24
 
5.1%
) 23
 
4.9%
( 23
 
4.9%
병 22
 
4.7%
리 16
 
3.4%
15
 
3.2%
의 10
 
2.1%
우 10
 
2.1%
서 9
 
1.9%
Other values (116) 295
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
85.0%
Close Punctuation 23
 
4.9%
Open Punctuation 23
 
4.9%
Space Separator 15
 
3.2%
Uppercase Letter 8
 
1.7%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 25
 
6.2%
주 24
 
6.0%
병 22
 
5.5%
리 16
 
4.0%
의 10
 
2.5%
우 10
 
2.5%
서 9
 
2.2%
료 9
 
2.2%
들 8
 
2.0%
스 8
 
2.0%
Other values (107) 260
64.8%
Uppercase Letter
ValueCountFrequency (%)
J 3
37.5%
C 3
37.5%
G 1
 
12.5%
L 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
85.0%
Common 63
 
13.3%
Latin 8
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 25
 
6.2%
주 24
 
6.0%
병 22
 
5.5%
리 16
 
4.0%
의 10
 
2.5%
우 10
 
2.5%
서 9
 
2.2%
료 9
 
2.2%
들 8
 
2.0%
스 8
 
2.0%
Other values (107) 260
64.8%
Common
ValueCountFrequency (%)
) 23
36.5%
( 23
36.5%
15
23.8%
, 1
 
1.6%
1 1
 
1.6%
Latin
ValueCountFrequency (%)
J 3
37.5%
C 3
37.5%
G 1
 
12.5%
L 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
85.0%
ASCII 71
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 25
 
6.2%
주 24
 
6.0%
병 22
 
5.5%
리 16
 
4.0%
의 10
 
2.5%
우 10
 
2.5%
서 9
 
2.2%
료 9
 
2.2%
들 8
 
2.0%
스 8
 
2.0%
Other values (107) 260
64.8%
ASCII
ValueCountFrequency (%)
) 23
32.4%
( 23
32.4%
15
21.1%
J 3
 
4.2%
C 3
 
4.2%
G 1
 
1.4%
, 1
 
1.4%
L 1
 
1.4%
1 1
 
1.4%

최종수정일자
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2003-03-10 00:00:00
Maximum2024-02-16 16:13:07
2024-04-06T19:23:40.556199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:23:40.798893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
I
46 
U
6 

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 46
88.5%
U 6
 
11.5%

Length

2024-04-06T19:23:41.028142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:41.216585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 46
88.5%
u 6
 
11.5%

데이터갱신일자
Date

Distinct24
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:08:00
2024-04-06T19:23:41.382754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:23:41.585449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)60.5%
Missing14
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean185403.45
Minimum182028.31
Maximum188933.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:23:41.765235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182028.31
5-th percentile182141.21
Q1184599.3
median185807.98
Q3186757.23
95-th percentile187569.96
Maximum188933.76
Range6905.4561
Interquartile range (IQR)2157.9308

Descriptive statistics

Standard deviation1800.8313
Coefficient of variation (CV)0.0097130413
Kurtosis-0.40548964
Mean185403.45
Median Absolute Deviation (MAD)1021.5853
Skewness-0.58327437
Sum7045331
Variance3242993.5
MonotonicityNot monotonic
2024-04-06T19:23:41.995150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
186760.104674723 4
 
7.7%
182141.205465089 3
 
5.8%
182524.823835629 3
 
5.8%
186223.731478589 3
 
5.8%
184586.390711 2
 
3.8%
184638.019009678 2
 
3.8%
186125.156123721 2
 
3.8%
186043.311279081 2
 
3.8%
185764.898845811 2
 
3.8%
187160.665637183 2
 
3.8%
Other values (13) 13
25.0%
(Missing) 14
26.9%
ValueCountFrequency (%)
182028.306204 1
 
1.9%
182141.205465089 3
5.8%
182524.823835629 3
5.8%
183819.438764412 1
 
1.9%
184586.390711 2
3.8%
184638.019009678 2
3.8%
184716.934133274 1
 
1.9%
185439.385067186 1
 
1.9%
185500.498361103 1
 
1.9%
185562.56472451 1
 
1.9%
ValueCountFrequency (%)
188933.762268533 1
 
1.9%
187753.328888483 1
 
1.9%
187537.596190385 1
 
1.9%
187397.682286048 1
 
1.9%
187160.665637183 2
3.8%
186760.104674723 4
7.7%
186748.600435166 1
 
1.9%
186223.731478589 3
5.8%
186125.156123721 2
3.8%
186043.311279081 2
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)60.5%
Missing14
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean450624.82
Minimum447495.91
Maximum452127.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:23:42.159357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447495.91
5-th percentile448872.84
Q1450529.28
median450778.51
Q3451353.36
95-th percentile451794.19
Maximum452127.52
Range4631.607
Interquartile range (IQR)824.07267

Descriptive statistics

Standard deviation1013.1727
Coefficient of variation (CV)0.002248373
Kurtosis1.6059005
Mean450624.82
Median Absolute Deviation (MAD)421.20564
Skewness-1.2609361
Sum17123743
Variance1026518.8
MonotonicityNot monotonic
2024-04-06T19:23:42.312757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
450529.28291819 4
 
7.7%
451078.47991 3
 
5.8%
451438.25089679 3
 
5.8%
451794.187683343 3
 
5.8%
451199.710969 2
 
3.8%
451538.697818543 2
 
3.8%
450591.44602695 2
 
3.8%
450704.666838076 2
 
3.8%
448963.082543946 2
 
3.8%
450873.017067141 2
 
3.8%
Other values (13) 13
25.0%
(Missing) 14
26.9%
ValueCountFrequency (%)
447495.908489937 1
 
1.9%
448361.495133865 1
 
1.9%
448963.082543946 2
3.8%
449055.885616277 1
 
1.9%
449316.053865595 1
 
1.9%
449722.993690775 1
 
1.9%
450008.139145119 1
 
1.9%
450506.888614666 1
 
1.9%
450529.28291819 4
7.7%
450577.150865686 1
 
1.9%
ValueCountFrequency (%)
452127.51550668 1
 
1.9%
451794.187683343 3
5.8%
451538.697818543 2
3.8%
451438.25089679 3
5.8%
451404.570464 1
 
1.9%
451199.710969 2
3.8%
451078.47991 3
5.8%
450873.017067141 2
3.8%
450818.33218128 1
 
1.9%
450781.441229945 1
 
1.9%

사용목적
Text

MISSING 

Distinct34
Distinct (%)69.4%
Missing3
Missing (%)5.8%
Memory size548.0 B
2024-04-06T19:23:42.586367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.2653061
Min length2

Characters and Unicode

Total characters405
Distinct characters85
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

Unique28 ?
Unique (%)57.1%

Sample

1st row공업용
2nd row의료용
3rd row발효 실험용
4th row용접, 절단용
5th row용접, 절단용
ValueCountFrequency (%)
의료용 10
 
9.3%
및 10
 
9.3%
환자 5
 
4.6%
용접 4
 
3.7%
응급환자 4
 
3.7%
절단 4
 
3.7%
호흡용 4
 
3.7%
회복보조용 4
 
3.7%
절단용 3
 
2.8%
연구용 3
 
2.8%
Other values (43) 57
52.8%
2024-04-06T19:23:43.173033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
14.6%
용 40
 
9.9%
공 14
 
3.5%
사 12
 
3.0%
료 12
 
3.0%
환 11
 
2.7%
자 11
 
2.7%
단 10
 
2.5%
의 10
 
2.5%
및 10
 
2.5%
Other values (75) 216
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
79.0%
Space Separator 59
 
14.6%
Lowercase Letter 8
 
2.0%
Uppercase Letter 7
 
1.7%
Other Punctuation 5
 
1.2%
Dash Punctuation 3
 
0.7%
Decimal Number 2
 
0.5%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 40
 
12.5%
공 14
 
4.4%
사 12
 
3.8%
료 12
 
3.8%
환 11
 
3.4%
자 11
 
3.4%
단 10
 
3.1%
의 10
 
3.1%
및 10
 
3.1%
구 9
 
2.8%
Other values (59) 181
56.6%
Uppercase Letter
ValueCountFrequency (%)
H 3
42.9%
E 1
 
14.3%
L 1
 
14.3%
I 1
 
14.3%
P 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
b 2
25.0%
e 2
25.0%
m 2
25.0%
a 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
/ 1
 
20.0%
: 1
 
20.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
79.0%
Common 70
 
17.3%
Latin 15
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 40
 
12.5%
공 14
 
4.4%
사 12
 
3.8%
료 12
 
3.8%
환 11
 
3.4%
자 11
 
3.4%
단 10
 
3.1%
의 10
 
3.1%
및 10
 
3.1%
구 9
 
2.8%
Other values (59) 181
56.6%
Latin
ValueCountFrequency (%)
H 3
20.0%
b 2
13.3%
e 2
13.3%
m 2
13.3%
a 2
13.3%
E 1
 
6.7%
L 1
 
6.7%
I 1
 
6.7%
P 1
 
6.7%
Common
ValueCountFrequency (%)
59
84.3%
, 3
 
4.3%
- 3
 
4.3%
3 2
 
2.9%
/ 1
 
1.4%
: 1
 
1.4%
~ 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
79.0%
ASCII 85
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
69.4%
, 3
 
3.5%
H 3
 
3.5%
- 3
 
3.5%
b 2
 
2.4%
e 2
 
2.4%
3 2
 
2.4%
m 2
 
2.4%
a 2
 
2.4%
E 1
 
1.2%
Other values (6) 6
 
7.1%
Hangul
ValueCountFrequency (%)
용 40
 
12.5%
공 14
 
4.4%
사 12
 
3.8%
료 12
 
3.8%
환 11
 
3.4%
자 11
 
3.4%
단 10
 
3.1%
의 10
 
3.1%
및 10
 
3.1%
구 9
 
2.8%
Other values (59) 181
56.6%

사용방법
Text

MISSING 

Distinct40
Distinct (%)83.3%
Missing4
Missing (%)7.7%
Memory size548.0 B
2024-04-06T19:23:43.584165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length16
Mean length11.104167
Min length2

Characters and Unicode

Total characters533
Distinct characters116
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)66.7%

Sample

1st row유리가공
2nd row용기 보관 사용 (50Kg * 4개)
3rd row용기 보관 사용
4th row용기 보관 저장
5th row액체용기(160L) 공급 후 기화
ValueCountFrequency (%)
사용 12
 
8.4%
후 10
 
7.0%
용기 5
 
3.5%
통해 5
 
3.5%
저장 4
 
2.8%
및 4
 
2.8%
절단 4
 
2.8%
공급 3
 
2.1%
설치 3
 
2.1%
보관 3
 
2.1%
Other values (71) 90
62.9%
2024-04-06T19:23:44.295356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
17.8%
용 41
 
7.7%
기 23
 
4.3%
사 18
 
3.4%
후 11
 
2.1%
장 9
 
1.7%
공 9
 
1.7%
접 9
 
1.7%
압 9
 
1.7%
관 9
 
1.7%
Other values (106) 300
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
74.3%
Space Separator 95
 
17.8%
Decimal Number 12
 
2.3%
Lowercase Letter 10
 
1.9%
Uppercase Letter 7
 
1.3%
Other Punctuation 5
 
0.9%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 41
 
10.4%
기 23
 
5.8%
사 18
 
4.5%
후 11
 
2.8%
장 9
 
2.3%
공 9
 
2.3%
접 9
 
2.3%
압 9
 
2.3%
관 9
 
2.3%
화 8
 
2.0%
Other values (83) 250
63.1%
Decimal Number
ValueCountFrequency (%)
0 4
33.3%
1 3
25.0%
4 2
16.7%
6 2
16.7%
5 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 3
30.0%
m 2
20.0%
b 2
20.0%
e 2
20.0%
g 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
28.6%
L 2
28.6%
M 1
14.3%
P 1
14.3%
K 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2
40.0%
. 1
20.0%
/ 1
20.0%
* 1
20.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
74.3%
Common 120
 
22.5%
Latin 17
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 41
 
10.4%
기 23
 
5.8%
사 18
 
4.5%
후 11
 
2.8%
장 9
 
2.3%
공 9
 
2.3%
접 9
 
2.3%
압 9
 
2.3%
관 9
 
2.3%
화 8
 
2.0%
Other values (83) 250
63.1%
Common
ValueCountFrequency (%)
95
79.2%
0 4
 
3.3%
( 3
 
2.5%
1 3
 
2.5%
) 3
 
2.5%
4 2
 
1.7%
- 2
 
1.7%
, 2
 
1.7%
6 2
 
1.7%
. 1
 
0.8%
Other values (3) 3
 
2.5%
Latin
ValueCountFrequency (%)
a 3
17.6%
m 2
11.8%
H 2
11.8%
b 2
11.8%
e 2
11.8%
L 2
11.8%
M 1
 
5.9%
P 1
 
5.9%
K 1
 
5.9%
g 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
74.3%
ASCII 137
 
25.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
69.3%
0 4
 
2.9%
( 3
 
2.2%
1 3
 
2.2%
a 3
 
2.2%
) 3
 
2.2%
4 2
 
1.5%
m 2
 
1.5%
- 2
 
1.5%
H 2
 
1.5%
Other values (13) 18
 
13.1%
Hangul
ValueCountFrequency (%)
용 41
 
10.4%
기 23
 
5.8%
사 18
 
4.5%
후 11
 
2.8%
장 9
 
2.3%
공 9
 
2.3%
접 9
 
2.3%
압 9
 
2.3%
관 9
 
2.3%
화 8
 
2.0%
Other values (83) 250
63.1%

월사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)71.4%
Missing3
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean1268.6697
Minimum0
Maximum5000
Zeros3
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:23:44.521479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0188
Q1100
median400
Q31500
95-th percentile5000
Maximum5000
Range5000
Interquartile range (IQR)1400

Descriptive statistics

Standard deviation1637.9461
Coefficient of variation (CV)1.2910737
Kurtosis0.44518658
Mean1268.6697
Median Absolute Deviation (MAD)399.953
Skewness1.3364581
Sum62164.817
Variance2682867.4
MonotonicityNot monotonic
2024-04-06T19:23:44.731393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5000.0 4
 
7.7%
1500.0 4
 
7.7%
120.0 3
 
5.8%
0.0 3
 
5.8%
730.0 2
 
3.8%
98.6 2
 
3.8%
1000.0 2
 
3.8%
250.0 2
 
3.8%
700.0 1
 
1.9%
1320.0 1
 
1.9%
Other values (25) 25
48.1%
(Missing) 3
 
5.8%
ValueCountFrequency (%)
0.0 3
5.8%
0.047 1
 
1.9%
0.55 1
 
1.9%
3.02 1
 
1.9%
10.0 1
 
1.9%
53.0 1
 
1.9%
84.0 1
 
1.9%
96.0 1
 
1.9%
98.6 2
3.8%
100.0 1
 
1.9%
ValueCountFrequency (%)
5000.0 4
7.7%
4600.0 1
 
1.9%
4200.0 1
 
1.9%
4000.0 1
 
1.9%
3400.0 1
 
1.9%
3000.0 1
 
1.9%
2700.0 1
 
1.9%
2500.0 1
 
1.9%
1500.0 4
7.7%
1320.0 1
 
1.9%

수용정원수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)47.9%
Missing4
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean270.64583
Minimum0
Maximum2000
Zeros3
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:23:45.296733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.05
Q120
median100
Q3300
95-th percentile1078
Maximum2000
Range2000
Interquartile range (IQR)280

Descriptive statistics

Standard deviation440.69063
Coefficient of variation (CV)1.6282927
Kurtosis6.8282862
Mean270.64583
Median Absolute Deviation (MAD)97
Skewness2.5661948
Sum12991
Variance194208.23
MonotonicityNot monotonic
2024-04-06T19:23:45.515436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
100 7
13.5%
3 4
 
7.7%
300 4
 
7.7%
0 3
 
5.8%
20 3
 
5.8%
22 3
 
5.8%
630 3
 
5.8%
1000 2
 
3.8%
30 2
 
3.8%
6 2
 
3.8%
Other values (13) 15
28.8%
(Missing) 4
 
7.7%
ValueCountFrequency (%)
0 3
5.8%
3 4
7.7%
5 1
 
1.9%
6 2
3.8%
15 1
 
1.9%
20 3
5.8%
22 3
5.8%
30 2
3.8%
50 1
 
1.9%
60 1
 
1.9%
ValueCountFrequency (%)
2000 1
 
1.9%
1800 1
 
1.9%
1120 1
 
1.9%
1000 2
3.8%
630 3
5.8%
421 1
 
1.9%
300 4
7.7%
250 2
3.8%
239 2
3.8%
227 1
 
1.9%

시설사용여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
03150000200331500740270000120030310<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>236631445<NA><NA>서울특별시 강서구 등촌동 631-4 번지<NA><NA>삼신유리공업사2003-03-10 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>공업용유리가공250.015<NA>
13150000200631501000270000120060321<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>236639090<NA><NA>서울특별시 강서구 등촌동 628-9번지<NA><NA>강서요양병원2006-03-21 00:00:00I2018-08-31 23:59:59.0<NA>187160.665637450873.017067의료용<NA>250.0<NA><NA>
23150000200731501001220000120070917<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 92-1번지서울특별시 강서구 강서로76길 29 (가양동)<NA>CJ제일제당(주)김포공장2011-10-30 13:39:03I2018-08-31 23:59:59.0<NA>186223.731479451794.187683발효 실험용용기 보관 사용 (50Kg * 4개)1500.022<NA>
33150000200731501001220003120021112<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 92-1번지<NA><NA>CJ(주)김포공장2007-09-28 10:21:40I2018-08-31 23:59:59.0<NA>186223.731479451794.187683용접, 절단용용기 보관 사용53.022<NA>
43150000200731501001220004220021112<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 92-1번지<NA><NA>CJ(주)김포공장2007-09-28 10:25:58I2018-08-31 23:59:59.0<NA>186223.731479451794.187683용접, 절단용용기 보관 저장120.022<NA>
53150000200731501001220004320071213<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 과해동 676번지서울특별시 강서구 하늘길 70 (과해동)<NA>의료법인 우리들의료재단 우리들병원2014-08-27 15:33:43I2018-08-31 23:59:59.0<NA>182141.205465451078.47991응급환자 및 수술 후 회복보조용액체용기(160L) 공급 후 기화1500.0100<NA>
63150000201031501231220000120100917<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 671번지 힘찬병원서울특별시 강서구 강서로56길 38 (등촌동)<NA>힘찬병원2016-07-14 15:43:39I2018-08-31 23:59:59.0<NA>185851.053632450781.44123의료용의료10.0100<NA>
73150000201131501231220000120110405<NA>3폐업2폐업처리20190124<NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 657-5<NA><NA>부민서울병원2020-10-14 15:11:59U2020-10-16 02:40:00.0<NA>186748.600435450506.888615의료용용기0.00<NA>
83150000201631501511220000120160426<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡로 416 (화곡동)<NA>강서성모요양병원2016-04-26 13:56:54I2018-08-31 23:59:59.0<NA>187160.665637450873.017067의료용의료용3400.0100<NA>
93150000201631501511220000220160509<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 과해동 676번지서울특별시 강서구 하늘길 70 (과해동)<NA>의료법인 우리들 의료재단 우리들 병원2016-05-09 15:22:45I2018-08-31 23:59:59.0<NA>182141.205465451078.47991응급환자 및 수술 후 회복보조용액체용기(160L) 공급 후 기화1500.0100<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
423150000202131502041220000120210512<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 629서울특별시 강서구 양천로 528 (등촌동)7549대운하건설(주)2021-06-10 10:25:24U2021-06-12 02:40:00.0<NA>187397.682286450775.569418토목공사 흙막이 가시설 작업용접204.03<NA>
433150000202131502041220000220210728<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 788 코오롱one&only타워서울특별시 강서구 마곡동로 110, 코오롱one&only타워 (마곡동)7793코오롱인더스트리(주)2021-07-28 16:59:47I2021-07-30 00:22:51.0<NA><NA><NA>연구용연구용3.02630<NA>
443150000202131502041220000320210813<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 648-15 시천빌딩서울특별시 강서구 공항대로42길 12, 시천빌딩 (내발산동)7646(주)에이치디한울종합건설2021-08-16 22:09:02U2021-08-18 02:40:00.0<NA>186125.156124450591.446027H-beam 절단H-beam 절단1500.03<NA>
453150000202131502041220000420210910<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 648-15 시천빌딩서울특별시 강서구 공항대로42길 12, 시천빌딩 (내발산동)7646(주)에이치디한울종합건설2021-09-10 15:06:43I2021-09-12 00:22:49.0<NA>186125.156124450591.446027H-beam 절단H-beam 절단4200.03<NA>
463150000202131502041220000520210929<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 843-4서울특별시 강서구 국회대로 225 (화곡동)7787우원개발(주)2021-09-29 15:42:35I2021-10-01 00:22:48.0<NA>187537.59619447495.90849구조물 설치 및 해체구조물 설치 및 해체96.03<NA>
473150000202131502041220000620211220<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 797 에이스타워 마곡서울특별시 강서구 공항대로 237, 에이스타워 마곡 4,5,6층 (마곡동)7803에스앤유서울병원2021-12-20 13:57:07I2021-12-22 00:22:42.0<NA><NA><NA>환자 흡입용환자 흡입1000.0150<NA>
483150000202231502041220000120220127<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 657 부민병원서울특별시 강서구 공항대로 389, 부민병원 (등촌동)7590부민병원2022-01-27 17:55:18I2022-01-29 00:22:39.0<NA>186760.104675450529.282918병실 환자 호흡용 및 이동용산소병실 환자 호흡용 및 이동용산소5000.0300<NA>
493150000202231502041220000220221115<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 654-3서울특별시 강서구 강서로 353 (내발산동)7632청산그린토건(주)2022-11-15 15:00:23I2021-10-31 23:07:00.0<NA>185562.564725450577.150866<NA><NA><NA><NA><NA>
50315000020243150204122000012024-01-17<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 767-2 마곡중앙광장서울특별시 강서구 마곡중앙5로 지하 9, 마곡마이스 복합단지 (마곡동)7797삼원중공업(주)2024-01-17 14:45:24I2023-11-30 22:00:00.0<NA>184638.01901451538.697819<NA><NA><NA><NA><NA>
51315000020243150204122000022024-02-16<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 767-2 마곡중앙광장서울특별시 강서구 마곡중앙5로 지하 9, 마곡중앙광장 (마곡동)7797대주중공업(주)2024-02-16 16:13:07I2023-12-01 23:08:00.0<NA>184638.01901451538.697819<NA><NA><NA><NA><NA>