Overview

Dataset statistics

Number of variables29
Number of observations30
Missing cells320
Missing cells (%)36.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory252.4 B

Variable types

Numeric5
Categorical8
DateTime5
Unsupported8
Text3

Dataset

Description24년03월_6270000_대구광역시_07_22_16_P_용기냉동기특정설비
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106619&dataSetDetailId=DDI_0000106675&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 20 (66.7%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 28 (93.3%) missing valuesMissing
소재지전화 has 30 (100.0%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 30 (100.0%) missing valuesMissing
소재지전체주소 has 3 (10.0%) missing valuesMissing
도로명전체주소 has 7 (23.3%) missing valuesMissing
도로명우편번호 has 22 (73.3%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
설비규격 has 30 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
소재지전화 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
설비규격 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 12:34:46.158480
Analysis finished2024-04-29 12:34:46.690772
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-29T21:34:46.760622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-04-29T21:34:46.912603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
용기냉동기특정설비
30 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용기냉동기특정설비 30
100.0%

Length

2024-04-29T21:34:47.031786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:47.119255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용기냉동기특정설비 30
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
07_22_16_P
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_16_P
2nd row07_22_16_P
3rd row07_22_16_P
4th row07_22_16_P
5th row07_22_16_P

Common Values

ValueCountFrequency (%)
07_22_16_P 30
100.0%

Length

2024-04-29T21:34:47.221729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:47.300859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_16_p 30
100.0%

개방자치단체코드
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
3480000
10 
3450000
9 
3470000
8 
3420000
2 
3430000
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row3420000
2nd row3420000
3rd row3430000
4th row3450000
5th row3450000

Common Values

ValueCountFrequency (%)
3480000 10
33.3%
3450000 9
30.0%
3470000 8
26.7%
3420000 2
 
6.7%
3430000 1
 
3.3%

Length

2024-04-29T21:34:47.389054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:47.479095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3480000 10
33.3%
3450000 9
30.0%
3470000 8
26.7%
3420000 2
 
6.7%
3430000 1
 
3.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014213 × 1018
Minimum2.003347 × 1018
Maximum2.023348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-29T21:34:47.577438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003347 × 1018
5-th percentile2.0053464 × 1018
Q12.0093473 × 1018
median2.014345 × 1018
Q32.020345 × 1018
95-th percentile2.023347 × 1018
Maximum2.023348 × 1018
Range2.0001025 × 1016
Interquartile range (IQR)1.099775 × 1016

Descriptive statistics

Standard deviation6.4101442 × 1015
Coefficient of variation (CV)0.003182456
Kurtosis-1.3357067
Mean2.014213 × 1018
Median Absolute Deviation (MAD)6.0000061 × 1015
Skewness-0.07994971
Sum5.0861564 × 1018
Variance4.1089949 × 1031
MonotonicityNot monotonic
2024-04-29T21:34:47.710650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2006342013516500001 1
 
3.3%
2019347018016500001 1
 
3.3%
2005348028916500001 1
 
3.3%
2020348036516500001 1
 
3.3%
2022348036516500001 1
 
3.3%
2012348031216500001 1
 
3.3%
2009348029116500001 1
 
3.3%
2005348028916500003 1
 
3.3%
2021348036516500001 1
 
3.3%
2015348032616500001 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2003347011716500000 1
3.3%
2005345009916500001 1
3.3%
2005348028916500001 1
3.3%
2005348028916500003 1
3.3%
2006342013516500001 1
3.3%
2006345009916500001 1
3.3%
2007345009916500001 1
3.3%
2009347011716500001 1
3.3%
2009348029116500001 1
3.3%
2010345009916500001 1
3.3%
ValueCountFrequency (%)
2023348036516500001 1
3.3%
2023347018816500002 1
3.3%
2023347018816500001 1
3.3%
2022348036516500001 1
3.3%
2021348036516500002 1
3.3%
2021348036516500001 1
3.3%
2020348036516500001 1
3.3%
2020345016016500002 1
3.3%
2020345016016500001 1
3.3%
2019347018016500001 1
3.3%

인허가일자
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1987-03-30 00:00:00
Maximum2023-10-16 00:00:00
2024-04-29T21:34:47.845990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:34:47.954711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
20 
3
10 

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 20
66.7%
3 10
33.3%

Length

2024-04-29T21:34:48.053835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:48.135964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
66.7%
3 10
33.3%

영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
20 
폐업
10 

Length

Max length5
Median length5
Mean length4
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 20
66.7%
폐업 10
33.3%

Length

2024-04-29T21:34:48.224275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:48.313371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
66.7%
폐업 10
33.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
20 
3
10 

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 20
66.7%
3 10
33.3%

Length

2024-04-29T21:34:48.400028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:48.482855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
66.7%
3 10
33.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
20 
폐업
10 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 20
66.7%
폐업 10
33.3%

Length

2024-04-29T21:34:48.567721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:48.649242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 20
66.7%
폐업 10
33.3%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
Minimum2012-04-09 00:00:00
Maximum2023-11-03 00:00:00
2024-04-29T21:34:48.732330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:34:48.840995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
Minimum2011-09-15 00:00:00
Maximum2015-01-08 00:00:00
2024-04-29T21:34:48.943535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:34:49.041868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지전체주소
Text

MISSING 

Distinct20
Distinct (%)74.1%
Missing3
Missing (%)10.0%
Memory size372.0 B
2024-04-29T21:34:49.197707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.481481
Min length17

Characters and Unicode

Total characters580
Distinct characters50
Distinct categories4 ?
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 row대구광역시 북구 검단동 700-15 1동
2nd row대구광역시 북구 검단동 700-15 1동
3rd row대구광역시 북구 침산동 791
4th row대구광역시 북구 침산동 791
5th row대구광역시 북구 검단동 887-85
ValueCountFrequency (%)
대구광역시 27
22.5%
달성군 10
 
8.3%
북구 9
 
7.5%
달서구 8
 
6.7%
검단동 6
 
5.0%
논공읍 5
 
4.2%
본리리 4
 
3.3%
장동 3
 
2.5%
209-10 3
 
2.5%
침산동 3
 
2.5%
Other values (32) 42
35.0%
2024-04-29T21:34:49.504440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
20.7%
구 45
 
7.8%
대 27
 
4.7%
광 27
 
4.7%
역 27
 
4.7%
시 27
 
4.7%
1 26
 
4.5%
- 23
 
4.0%
7 20
 
3.4%
동 19
 
3.3%
Other values (40) 219
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
54.0%
Decimal Number 124
 
21.4%
Space Separator 120
 
20.7%
Dash Punctuation 23
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 45
14.4%
대 27
 
8.6%
광 27
 
8.6%
역 27
 
8.6%
시 27
 
8.6%
동 19
 
6.1%
달 18
 
5.8%
리 14
 
4.5%
성 10
 
3.2%
군 10
 
3.2%
Other values (28) 89
28.4%
Decimal Number
ValueCountFrequency (%)
1 26
21.0%
7 20
16.1%
0 17
13.7%
8 15
12.1%
9 11
8.9%
5 11
8.9%
2 10
 
8.1%
6 7
 
5.6%
4 5
 
4.0%
3 2
 
1.6%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
54.0%
Common 267
46.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 45
14.4%
대 27
 
8.6%
광 27
 
8.6%
역 27
 
8.6%
시 27
 
8.6%
동 19
 
6.1%
달 18
 
5.8%
리 14
 
4.5%
성 10
 
3.2%
군 10
 
3.2%
Other values (28) 89
28.4%
Common
ValueCountFrequency (%)
120
44.9%
1 26
 
9.7%
- 23
 
8.6%
7 20
 
7.5%
0 17
 
6.4%
8 15
 
5.6%
9 11
 
4.1%
5 11
 
4.1%
2 10
 
3.7%
6 7
 
2.6%
Other values (2) 7
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
54.0%
ASCII 267
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
44.9%
1 26
 
9.7%
- 23
 
8.6%
7 20
 
7.5%
0 17
 
6.4%
8 15
 
5.6%
9 11
 
4.1%
5 11
 
4.1%
2 10
 
3.7%
6 7
 
2.6%
Other values (2) 7
 
2.6%
Hangul
ValueCountFrequency (%)
구 45
14.4%
대 27
 
8.6%
광 27
 
8.6%
역 27
 
8.6%
시 27
 
8.6%
동 19
 
6.1%
달 18
 
5.8%
리 14
 
4.5%
성 10
 
3.2%
군 10
 
3.2%
Other values (28) 89
28.4%

도로명전체주소
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing7
Missing (%)23.3%
Memory size372.0 B
2024-04-29T21:34:49.693377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length24.782609
Min length22

Characters and Unicode

Total characters570
Distinct characters65
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row대구광역시 동구 안심로59길 8 (각산동)
2nd row대구광역시 동구 안심로59길 13 (동호동)
3rd row대구광역시 서구 팔달로2길 29 (비산동)
4th row대구광역시 북구 검단동로 45, 1동 (검단동)
5th row대구광역시 북구 침산로 285 (침산동)
ValueCountFrequency (%)
대구광역시 23
 
18.9%
북구 8
 
6.6%
달성군 8
 
6.6%
검단동 5
 
4.1%
논공읍 4
 
3.3%
달서구 4
 
3.3%
검단동로 3
 
2.5%
침산로 3
 
2.5%
침산동 3
 
2.5%
논공중앙로 2
 
1.6%
Other values (50) 59
48.4%
2024-04-29T21:34:50.014153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
18.1%
구 39
 
6.8%
대 24
 
4.2%
동 24
 
4.2%
로 24
 
4.2%
광 23
 
4.0%
역 23
 
4.0%
시 23
 
4.0%
1 17
 
3.0%
) 15
 
2.6%
Other values (55) 255
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 355
62.3%
Space Separator 103
 
18.1%
Decimal Number 74
 
13.0%
Close Punctuation 15
 
2.6%
Open Punctuation 15
 
2.6%
Other Punctuation 6
 
1.1%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 39
 
11.0%
대 24
 
6.8%
동 24
 
6.8%
로 24
 
6.8%
광 23
 
6.5%
역 23
 
6.5%
시 23
 
6.5%
달 15
 
4.2%
단 13
 
3.7%
검 12
 
3.4%
Other values (40) 135
38.0%
Decimal Number
ValueCountFrequency (%)
1 17
23.0%
5 10
13.5%
2 9
12.2%
4 8
10.8%
9 7
9.5%
8 6
 
8.1%
7 6
 
8.1%
3 4
 
5.4%
6 4
 
5.4%
0 3
 
4.1%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 355
62.3%
Common 215
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 39
 
11.0%
대 24
 
6.8%
동 24
 
6.8%
로 24
 
6.8%
광 23
 
6.5%
역 23
 
6.5%
시 23
 
6.5%
달 15
 
4.2%
단 13
 
3.7%
검 12
 
3.4%
Other values (40) 135
38.0%
Common
ValueCountFrequency (%)
103
47.9%
1 17
 
7.9%
) 15
 
7.0%
( 15
 
7.0%
5 10
 
4.7%
2 9
 
4.2%
4 8
 
3.7%
9 7
 
3.3%
8 6
 
2.8%
, 6
 
2.8%
Other values (5) 19
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 355
62.3%
ASCII 215
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
47.9%
1 17
 
7.9%
) 15
 
7.0%
( 15
 
7.0%
5 10
 
4.7%
2 9
 
4.2%
4 8
 
3.7%
9 7
 
3.3%
8 6
 
2.8%
, 6
 
2.8%
Other values (5) 19
 
8.8%
Hangul
ValueCountFrequency (%)
구 39
 
11.0%
대 24
 
6.8%
동 24
 
6.8%
로 24
 
6.8%
광 23
 
6.5%
역 23
 
6.5%
시 23
 
6.5%
달 15
 
4.2%
단 13
 
3.7%
검 12
 
3.4%
Other values (40) 135
38.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing22
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean42538.75
Minimum41508
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-29T21:34:50.293654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41508
5-th percentile41508.7
Q142403.25
median42816.5
Q342944
95-th percentile43020.15
Maximum43024
Range1516
Interquartile range (IQR)540.75

Descriptive statistics

Standard deviation646.94044
Coefficient of variation (CV)0.015208262
Kurtosis-0.20412009
Mean42538.75
Median Absolute Deviation (MAD)156
Skewness-1.2956346
Sum340310
Variance418531.93
MonotonicityNot monotonic
2024-04-29T21:34:50.381766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
42921 2
 
6.7%
41510 1
 
3.3%
41508 1
 
3.3%
42712 1
 
3.3%
42701 1
 
3.3%
43024 1
 
3.3%
43013 1
 
3.3%
(Missing) 22
73.3%
ValueCountFrequency (%)
41508 1
3.3%
41510 1
3.3%
42701 1
3.3%
42712 1
3.3%
42921 2
6.7%
43013 1
3.3%
43024 1
3.3%
ValueCountFrequency (%)
43024 1
3.3%
43013 1
3.3%
42921 2
6.7%
42712 1
3.3%
42701 1
3.3%
41510 1
3.3%
41508 1
3.3%

사업장명
Text

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-29T21:34:50.547642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.7
Min length5

Characters and Unicode

Total characters231
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)43.3%

Sample

1st row(주)케이·피·씨
2nd row(주)케이·피·씨
3rd row화성밸브(주)
4th row(주)미래에너지
5th row(주)미래에너지
ValueCountFrequency (%)
주)금강밸브 3
 
9.1%
주)덕산코트랜 3
 
9.1%
주)삼창이엔지 2
 
6.1%
이노컴텍(주 2
 
6.1%
미래에너지 2
 
6.1%
성서공장 2
 
6.1%
주)대주기계 2
 
6.1%
주)케이·피·씨 2
 
6.1%
주)미래에너지 2
 
6.1%
주)삼성정공 1
 
3.0%
Other values (12) 12
36.4%
2024-04-29T21:34:50.841374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
12.6%
( 27
 
11.7%
) 27
 
11.7%
이 9
 
3.9%
지 7
 
3.0%
에 6
 
2.6%
공 5
 
2.2%
밸 5
 
2.2%
브 5
 
2.2%
너 5
 
2.2%
Other values (56) 106
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
71.9%
Open Punctuation 27
 
11.7%
Close Punctuation 27
 
11.7%
Other Punctuation 4
 
1.7%
Space Separator 3
 
1.3%
Uppercase Letter 3
 
1.3%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
17.5%
이 9
 
5.4%
지 7
 
4.2%
에 6
 
3.6%
공 5
 
3.0%
밸 5
 
3.0%
브 5
 
3.0%
너 5
 
3.0%
성 4
 
2.4%
트 4
 
2.4%
Other values (48) 87
52.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
· 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
71.9%
Common 62
 
26.8%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
17.5%
이 9
 
5.4%
지 7
 
4.2%
에 6
 
3.6%
공 5
 
3.0%
밸 5
 
3.0%
브 5
 
3.0%
너 5
 
3.0%
성 4
 
2.4%
트 4
 
2.4%
Other values (48) 87
52.4%
Common
ValueCountFrequency (%)
( 27
43.5%
) 27
43.5%
· 4
 
6.5%
3
 
4.8%
2 1
 
1.6%
Latin
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
71.9%
ASCII 61
 
26.4%
None 4
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
17.5%
이 9
 
5.4%
지 7
 
4.2%
에 6
 
3.6%
공 5
 
3.0%
밸 5
 
3.0%
브 5
 
3.0%
너 5
 
3.0%
성 4
 
2.4%
트 4
 
2.4%
Other values (48) 87
52.4%
ASCII
ValueCountFrequency (%)
( 27
44.3%
) 27
44.3%
3
 
4.9%
2 1
 
1.6%
G 1
 
1.6%
N 1
 
1.6%
E 1
 
1.6%
None
ValueCountFrequency (%)
· 4
100.0%

최종수정시점
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2008-01-23 17:40:20
Maximum2024-01-21 14:58:19
2024-04-29T21:34:50.953383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:34:51.065436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
17 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 17
56.7%
I 13
43.3%

Length

2024-04-29T21:34:51.172607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:34:51.257185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 17
56.7%
i 13
43.3%

데이터갱신일자
Date

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2024-01-23 02:40:00
2024-04-29T21:34:51.337332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:34:51.440705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338855.61
Minimum328629.75
Maximum355168.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-29T21:34:51.547645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328629.75
5-th percentile331683.17
Q1332922.87
median336837.37
Q3345092.46
95-th percentile351303.33
Maximum355168.36
Range26538.614
Interquartile range (IQR)12169.595

Descriptive statistics

Standard deviation7143.5377
Coefficient of variation (CV)0.021081362
Kurtosis-0.28889218
Mean338855.61
Median Absolute Deviation (MAD)4281.96
Skewness0.78149222
Sum10165668
Variance51030131
MonotonicityNot monotonic
2024-04-29T21:34:51.649788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
336848.363464696 3
 
10.0%
346516.586795702 2
 
6.7%
343350.170920903 2
 
6.7%
346717.496771053 2
 
6.7%
332810.712481352 2
 
6.7%
331683.170305643 2
 
6.7%
355168.36222655 1
 
3.3%
333990.414375937 1
 
3.3%
332668.149310259 1
 
3.3%
328629.747791576 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
328629.747791576 1
3.3%
331683.170305643 2
6.7%
332521.974134445 1
3.3%
332588.853667083 1
3.3%
332668.149310259 1
3.3%
332810.712481352 2
6.7%
333259.339551032 1
3.3%
333311.559734488 1
3.3%
333990.414375937 1
3.3%
334119.085397241 1
3.3%
ValueCountFrequency (%)
355168.36222655 1
 
3.3%
355055.374436131 1
 
3.3%
346717.496771053 2
6.7%
346516.586795702 2
6.7%
345951.385550066 1
 
3.3%
345673.228309942 1
 
3.3%
343350.170920903 2
6.7%
343339.805929195 1
 
3.3%
339822.60105459 1
 
3.3%
336848.363464696 3
10.0%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260093.04
Minimum237979.75
Maximum269526.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-29T21:34:51.746808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237979.75
5-th percentile242795.56
Q1252720.64
median261444.2
Q3267944.35
95-th percentile269490.74
Maximum269526.1
Range31546.35
Interquartile range (IQR)15223.716

Descriptive statistics

Standard deviation9197.4228
Coefficient of variation (CV)0.03536205
Kurtosis-0.15760325
Mean260093.04
Median Absolute Deviation (MAD)6510.9972
Skewness-0.94823647
Sum7802791.1
Variance84592587
MonotonicityNot monotonic
2024-04-29T21:34:51.849430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
260777.789002791 3
 
10.0%
269526.100411788 2
 
6.7%
267944.353450803 2
 
6.7%
269165.840390453 2
 
6.7%
264459.599436658 2
 
6.7%
242795.558262887 2
 
6.7%
264358.544592046 1
 
3.3%
260462.664203124 1
 
3.3%
249020.786503762 1
 
3.3%
237979.750002148 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
237979.750002148 1
3.3%
242795.558262887 2
6.7%
248964.055506997 1
3.3%
249020.786503762 1
3.3%
250047.07063609 1
3.3%
250220.231055625 1
3.3%
250292.617840303 1
3.3%
260004.69522265 1
3.3%
260462.664203124 1
3.3%
260540.004453834 1
3.3%
ValueCountFrequency (%)
269526.100411788 2
6.7%
269447.530190756 1
3.3%
269234.20744779 1
3.3%
269165.840390453 2
6.7%
267966.041735131 1
3.3%
267944.353450803 2
6.7%
266840.061301228 1
3.3%
264459.599436658 2
6.7%
264408.146423008 1
3.3%
264358.544592046 1
3.3%

설비규격
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)설비규격
01용기냉동기특정설비07_22_16_P342000020063420135165000012006-01-10<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 안심로59길 8 (각산동)<NA>(주)케이·피·씨2016-08-10 13:42:04I2018-08-31 23:59:59<NA>355168.362227264358.544592<NA>
12용기냉동기특정설비07_22_16_P342000020163420135165000012016-08-11<NA>3폐업3폐업2023-08-23<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 안심로59길 13 (동호동)<NA>(주)케이·피·씨2023-08-23 20:15:48U2023-08-25 02:40:00<NA>355055.374436264408.146423<NA>
23용기냉동기특정설비07_22_16_P343000020153430095165000171987-03-30<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 팔달로2길 29 (비산동)<NA>화성밸브(주)2017-07-07 09:22:38I2018-08-31 23:59:59<NA>339822.601055266840.061301<NA>
34용기냉동기특정설비07_22_16_P345000020203450160165000012020-05-21<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 검단동 700-15 1동대구광역시 북구 검단동로 45, 1동 (검단동)41510(주)미래에너지2020-07-10 10:57:17U2020-07-14 02:40:00<NA>346516.586796269526.100412<NA>
45용기냉동기특정설비07_22_16_P345000020203450160165000022020-05-21<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 검단동 700-15 1동<NA><NA>(주)미래에너지2020-07-10 10:56:57U2020-07-14 02:40:00<NA>346516.586796269526.100412<NA>
56용기냉동기특정설비07_22_16_P345000020053450099165000012005-11-21<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 침산동 791대구광역시 북구 침산로 285 (침산동)<NA>(주)삼창이엔지2008-01-23 17:53:06I2018-08-31 23:59:59<NA>343350.170921267944.353451<NA>
67용기냉동기특정설비07_22_16_P345000020063450099165000012006-06-21<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 침산동 791대구광역시 북구 침산로 285 (침산동)<NA>(주)삼창이엔지2008-01-23 17:40:20I2018-08-31 23:59:59<NA>343350.170921267944.353451<NA>
78용기냉동기특정설비07_22_16_P345000020073450099165000012007-02-02<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 검단동 887-85대구광역시 북구 검단북로 74 (검단동)<NA>(주)덕산코트랜2010-04-21 09:40:58I2018-08-31 23:59:59<NA>345673.22831269447.530191<NA>
89용기냉동기특정설비07_22_16_P345000020133450099165000012013-04-29<NA>1영업/정상1영업중<NA><NA><NA>2015-01-08<NA><NA><NA>대구광역시 북구 검단동 887-167대구광역시 북구 검단로27길 61 (검단동)41508(주)아진이에스알2020-07-03 17:04:52U2020-07-05 02:40:00<NA>345951.38555269234.207448<NA>
910용기냉동기특정설비07_22_16_P345000020103450099165000012010-04-09<NA>3폐업3폐업2012-04-09<NA><NA><NA><NA><NA><NA>대구광역시 북구 침산동 790-1대구광역시 북구 침산로 287 (침산동)<NA>솔텍ENG2012-04-09 16:16:07I2018-08-31 23:59:59<NA>343339.805929267966.041735<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)설비규격
2021용기냉동기특정설비07_22_16_P348000020213480365165000022021-10-28<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 1-70<NA><NA>(주)카본가람2021-11-25 16:31:54U2021-11-27 02:40:00<NA>332521.974134248964.055507<NA>
2122용기냉동기특정설비07_22_16_P348000020233480365165000012023-03-24<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 금리 1154<NA><NA>(주)대주기계2023-05-19 14:10:26U2023-05-21 02:40:00<NA>331683.170306242795.558263<NA>
2223용기냉동기특정설비07_22_16_P348000020153480326165000012015-06-08<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 금리 1154대구광역시 달성군 유가읍 테크노순환로4길 1143024(주)대주기계2023-03-26 11:25:50I2023-03-28 00:42:03<NA>331683.170306242795.558263<NA>
2324용기냉동기특정설비07_22_16_P348000020213480365165000012021-08-31<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1686-7대구광역시 달성군 다사읍 세천로4길 1542921(주)덕산코트랜 성서공장2021-09-23 15:43:13U2021-09-25 02:40:00<NA>332810.712481264459.599437<NA>
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2627용기냉동기특정설비07_22_16_P348000020123480312165000012012-05-22<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 29-98대구광역시 달성군 논공읍 논공로71길 9<NA>(주)카이오에너지2013-11-26 19:10:02I2018-08-31 23:59:59<NA>332588.853667250047.070636<NA>
2728용기냉동기특정설비07_22_16_P348000020223480365165000012022-08-17<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 내리 852-4대구광역시 달성군 구지면 달성2차2로 4643013(주)하이박 2공장2022-08-30 10:05:45U2022-09-01 02:40:00<NA>328629.747792237979.750002<NA>
2829용기냉동기특정설비07_22_16_P348000020203480365165000012020-12-10<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1686-7대구광역시 달성군 다사읍 세천로4길 1542921(주)덕산코트랜 성서공장2021-08-30 11:07:02U2021-09-01 02:40:00<NA>332810.712481264459.599437<NA>
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