Overview

Dataset statistics

Number of variables40
Number of observations54
Missing cells927
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory342.4 B

Variable types

Numeric5
Categorical11
Text7
DateTime7
Unsupported10

Dataset

Description2023-07-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123141

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
저장설비위치 has constant value ""Constant
배관설치장소 has constant value ""Constant
취급가스용량 is highly imbalanced (55.5%)Imbalance
인허가취소일자 has 54 (100.0%) missing valuesMissing
폐업일자 has 30 (55.6%) missing valuesMissing
휴업시작일자 has 48 (88.9%) missing valuesMissing
휴업종료일자 has 48 (88.9%) missing valuesMissing
재개업일자 has 51 (94.4%) missing valuesMissing
소재지전화 has 51 (94.4%) missing valuesMissing
소재지면적 has 54 (100.0%) missing valuesMissing
소재지우편번호 has 54 (100.0%) missing valuesMissing
소재지전체주소 has 2 (3.7%) missing valuesMissing
도로명전체주소 has 1 (1.9%) missing valuesMissing
도로명우편번호 has 48 (88.9%) missing valuesMissing
업태구분명 has 54 (100.0%) missing valuesMissing
좌표정보(x) has 1 (1.9%) missing valuesMissing
좌표정보(y) has 1 (1.9%) missing valuesMissing
저장설비위치 has 53 (98.1%) missing valuesMissing
배관설치장소 has 53 (98.1%) missing valuesMissing
길이변경내용 has 54 (100.0%) missing valuesMissing
가스용품종류명 has 54 (100.0%) missing valuesMissing
설비명 has 54 (100.0%) missing valuesMissing
물품규격 has 54 (100.0%) missing valuesMissing
면제범위 has 54 (100.0%) missing valuesMissing
Unnamed: 39 has 54 (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
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
길이변경내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
가스용품종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설비명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
물품규격 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면제범위 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 39 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 11:43:01.424943
Analysis finished2024-04-16 11:43:01.886730
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T20:43:01.945610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2024-04-16T20:43:02.057024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
액화석유가스용품제조업체
54 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
액화석유가스용품제조업체 54
100.0%

Length

2024-04-16T20:43:02.162667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:02.246865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
액화석유가스용품제조업체 54
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
09_28_09_P
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_09_P
2nd row09_28_09_P
3rd row09_28_09_P
4th row09_28_09_P
5th row09_28_09_P

Common Values

ValueCountFrequency (%)
09_28_09_P 54
100.0%

Length

2024-04-16T20:43:02.323801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:02.395588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_09_p 54
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3369444.4
Minimum3310000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T20:43:02.474636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3310000
5-th percentile3340000
Q13360000
median3360000
Q33390000
95-th percentile3393500
Maximum3400000
Range90000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21580.623
Coefficient of variation (CV)0.0064048014
Kurtosis-0.57948382
Mean3369444.4
Median Absolute Deviation (MAD)20000
Skewness-0.41690361
Sum1.8195 × 108
Variance4.6572327 × 108
MonotonicityIncreasing
2024-04-16T20:43:02.568753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3360000 20
37.0%
3390000 20
37.0%
3340000 7
 
13.0%
3400000 3
 
5.6%
3310000 1
 
1.9%
3330000 1
 
1.9%
3350000 1
 
1.9%
3380000 1
 
1.9%
ValueCountFrequency (%)
3310000 1
 
1.9%
3330000 1
 
1.9%
3340000 7
 
13.0%
3350000 1
 
1.9%
3360000 20
37.0%
3380000 1
 
1.9%
3390000 20
37.0%
3400000 3
 
5.6%
ValueCountFrequency (%)
3400000 3
 
5.6%
3390000 20
37.0%
3380000 1
 
1.9%
3360000 20
37.0%
3350000 1
 
1.9%
3340000 7
 
13.0%
3330000 1
 
1.9%
3310000 1
 
1.9%

관리번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-16T20:43:02.743685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1350
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

Unique54 ?
Unique (%)100.0%

Sample

1st row2000331001604100023-00001
2nd row1980333001504100001-00001
3rd row2013334000004100001-00001
4th row2011334008004100002-00001
5th row0000334000004100001-00001
ValueCountFrequency (%)
2000331001604100023-00001 1
 
1.9%
1985339000004100001-00001 1
 
1.9%
2013340004404100002-00001 1
 
1.9%
2021336014504100001-00001 1
 
1.9%
1987338006204100001-00001 1
 
1.9%
1997339000004100002-00001 1
 
1.9%
1982339000004100001-00001 1
 
1.9%
2005339000004100001-00001 1
 
1.9%
2012339008304100003-00001 1
 
1.9%
1999339000004100001-00001 1
 
1.9%
Other values (44) 44
81.5%
2024-04-16T20:43:03.042496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 702
52.0%
1 193
 
14.3%
3 121
 
9.0%
2 79
 
5.9%
4 73
 
5.4%
- 54
 
4.0%
9 43
 
3.2%
6 37
 
2.7%
8 23
 
1.7%
5 18
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1296
96.0%
Dash Punctuation 54
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 702
54.2%
1 193
 
14.9%
3 121
 
9.3%
2 79
 
6.1%
4 73
 
5.6%
9 43
 
3.3%
6 37
 
2.9%
8 23
 
1.8%
5 18
 
1.4%
7 7
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 702
52.0%
1 193
 
14.3%
3 121
 
9.0%
2 79
 
5.9%
4 73
 
5.4%
- 54
 
4.0%
9 43
 
3.2%
6 37
 
2.7%
8 23
 
1.7%
5 18
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 702
52.0%
1 193
 
14.3%
3 121
 
9.0%
2 79
 
5.9%
4 73
 
5.4%
- 54
 
4.0%
9 43
 
3.2%
6 37
 
2.7%
8 23
 
1.7%
5 18
 
1.3%

인허가일자
Date

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum1980-05-02 00:00:00
Maximum2022-09-16 00:00:00
2024-04-16T20:43:03.165256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:43:03.305468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
29 
3
24 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
53.7%
3 24
44.4%
2 1
 
1.9%

Length

2024-04-16T20:43:03.425247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:03.510602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
53.7%
3 24
44.4%
2 1
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업/정상
29 
폐업
24 
휴업
 
1

Length

Max length5
Median length5
Mean length3.6111111
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
53.7%
폐업 24
44.4%
휴업 1
 
1.9%

Length

2024-04-16T20:43:03.600388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:03.690230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
53.7%
폐업 24
44.4%
휴업 1
 
1.9%

상세영업상태코드
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
3
24 
BBBB
12 
1
7 
5
7 
4
3 

Length

Max length4
Median length1
Mean length1.6666667
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
3 24
44.4%
BBBB 12
22.2%
1 7
 
13.0%
5 7
 
13.0%
4 3
 
5.6%
2 1
 
1.9%

Length

2024-04-16T20:43:03.784899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:03.880860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 24
44.4%
bbbb 12
22.2%
1 7
 
13.0%
5 7
 
13.0%
4 3
 
5.6%
2 1
 
1.9%

상세영업상태명
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
폐지
24 
<NA>
12 
신규
7 
개시
7 
휴지사업재개
3 

Length

Max length6
Median length2
Mean length2.6666667
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row폐지
2nd row폐지
3rd row신규
4th row폐지
5th row폐지

Common Values

ValueCountFrequency (%)
폐지 24
44.4%
<NA> 12
22.2%
신규 7
 
13.0%
개시 7
 
13.0%
휴지사업재개 3
 
5.6%
휴지 1
 
1.9%

Length

2024-04-16T20:43:03.995183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:04.090689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 24
44.4%
na 12
22.2%
신규 7
 
13.0%
개시 7
 
13.0%
휴지사업재개 3
 
5.6%
휴지 1
 
1.9%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)87.5%
Missing30
Missing (%)55.6%
Memory size564.0 B
Minimum2009-04-02 00:00:00
Maximum2020-05-22 00:00:00
2024-04-16T20:43:04.182828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:43:04.287724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing48
Missing (%)88.9%
Memory size564.0 B
Minimum2012-10-05 00:00:00
Maximum2017-12-20 00:00:00
2024-04-16T20:43:04.387234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:43:04.467844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing48
Missing (%)88.9%
Memory size564.0 B
Minimum2013-04-05 00:00:00
Maximum2018-12-20 00:00:00
2024-04-16T20:43:04.557237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:43:04.644291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

재개업일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing51
Missing (%)94.4%
Memory size564.0 B
Minimum2014-07-10 00:00:00
Maximum2020-08-14 00:00:00
2024-04-16T20:43:04.728423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:43:04.819177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

소재지전화
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing51
Missing (%)94.4%
Memory size564.0 B
2024-04-16T20:43:04.923808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters33
Distinct characters9
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

Unique3 ?
Unique (%)100.0%

Sample

1st row051 6113680
2nd row051 5231225
3rd row051 7580337
ValueCountFrequency (%)
051 3
50.0%
6113680 1
 
16.7%
5231225 1
 
16.7%
7580337 1
 
16.7%
2024-04-16T20:43:05.139457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6
18.2%
1 6
18.2%
0 5
15.2%
3 4
12.1%
3
9.1%
2 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Space Separator 3
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6
20.0%
1 6
20.0%
0 5
16.7%
3 4
13.3%
2 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6
18.2%
1 6
18.2%
0 5
15.2%
3 4
12.1%
3
9.1%
2 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6
18.2%
1 6
18.2%
0 5
15.2%
3 4
12.1%
3
9.1%
2 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소재지전체주소
Text

MISSING 

Distinct48
Distinct (%)92.3%
Missing2
Missing (%)3.7%
Memory size564.0 B
2024-04-16T20:43:05.365003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length22.961538
Min length19

Characters and Unicode

Total characters1194
Distinct characters80
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

Unique44 ?
Unique (%)84.6%

Sample

1st row부산광역시 남구 용호동 566번지 7 호
2nd row부산광역시 해운대구 반여동 1401번지 반여1동
3rd row부산광역시 사하구 다대1동 1548번지 8호
4th row부산광역시 사하구 다대동 1508번지 3호
5th row부산광역시 사하구 다대동 1515번지 3호
ValueCountFrequency (%)
부산광역시 52
 
19.8%
사상구 20
 
7.6%
강서구 19
 
7.3%
1호 8
 
3.1%
송정동 7
 
2.7%
사하구 6
 
2.3%
다대동 5
 
1.9%
감전동 5
 
1.9%
덕포동 5
 
1.9%
8호 5
 
1.9%
Other values (91) 130
49.6%
2024-04-16T20:43:05.700595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
17.8%
1 57
 
4.8%
동 55
 
4.6%
시 53
 
4.4%
부 52
 
4.4%
광 52
 
4.4%
역 52
 
4.4%
산 52
 
4.4%
지 51
 
4.3%
구 49
 
4.1%
Other values (70) 509
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
61.5%
Decimal Number 239
 
20.0%
Space Separator 212
 
17.8%
Dash Punctuation 3
 
0.3%
Uppercase Letter 3
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 55
 
7.5%
시 53
 
7.2%
부 52
 
7.1%
광 52
 
7.1%
역 52
 
7.1%
산 52
 
7.1%
지 51
 
6.9%
구 49
 
6.7%
번 48
 
6.5%
호 47
 
6.4%
Other values (52) 223
30.4%
Decimal Number
ValueCountFrequency (%)
1 57
23.8%
2 26
10.9%
5 26
10.9%
7 23
9.6%
4 21
 
8.8%
6 19
 
7.9%
8 18
 
7.5%
0 17
 
7.1%
3 17
 
7.1%
9 15
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
G 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
61.5%
Common 457
38.3%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 55
 
7.5%
시 53
 
7.2%
부 52
 
7.1%
광 52
 
7.1%
역 52
 
7.1%
산 52
 
7.1%
지 51
 
6.9%
구 49
 
6.7%
번 48
 
6.5%
호 47
 
6.4%
Other values (52) 223
30.4%
Common
ValueCountFrequency (%)
212
46.4%
1 57
 
12.5%
2 26
 
5.7%
5 26
 
5.7%
7 23
 
5.0%
4 21
 
4.6%
6 19
 
4.2%
8 18
 
3.9%
0 17
 
3.7%
3 17
 
3.7%
Other values (5) 21
 
4.6%
Latin
ValueCountFrequency (%)
K 1
33.3%
G 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
61.5%
ASCII 460
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
46.1%
1 57
 
12.4%
2 26
 
5.7%
5 26
 
5.7%
7 23
 
5.0%
4 21
 
4.6%
6 19
 
4.1%
8 18
 
3.9%
0 17
 
3.7%
3 17
 
3.7%
Other values (8) 24
 
5.2%
Hangul
ValueCountFrequency (%)
동 55
 
7.5%
시 53
 
7.2%
부 52
 
7.1%
광 52
 
7.1%
역 52
 
7.1%
산 52
 
7.1%
지 51
 
6.9%
구 49
 
6.7%
번 48
 
6.5%
호 47
 
6.4%
Other values (52) 223
30.4%

도로명전체주소
Text

MISSING 

Distinct53
Distinct (%)100.0%
Missing1
Missing (%)1.9%
Memory size564.0 B
2024-04-16T20:43:05.930609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length26.679245
Min length22

Characters and Unicode

Total characters1414
Distinct characters98
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

Unique53 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 용호로269번길 32 (용호동)
2nd row부산광역시 해운대구 반여로41번길 36 (반여동)
3rd row부산광역시 사하구 홍티로 103 (다대동)
4th row부산광역시 사하구 다대로 722 (다대동)
5th row부산광역시 사하구 다산로105번길 72 (다대동)
ValueCountFrequency (%)
부산광역시 53
 
19.6%
사상구 20
 
7.4%
강서구 19
 
7.0%
송정동 7
 
2.6%
다대동 7
 
2.6%
사하구 7
 
2.6%
덕포동 5
 
1.9%
감전동 5
 
1.9%
화전동 4
 
1.5%
삼락동 4
 
1.5%
Other values (110) 139
51.5%
2024-04-16T20:43:06.286782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
 
16.2%
산 81
 
5.7%
동 61
 
4.3%
시 55
 
3.9%
부 54
 
3.8%
광 53
 
3.7%
역 53
 
3.7%
) 52
 
3.7%
( 52
 
3.7%
구 51
 
3.6%
Other values (88) 673
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 851
60.2%
Space Separator 229
 
16.2%
Decimal Number 218
 
15.4%
Close Punctuation 52
 
3.7%
Open Punctuation 52
 
3.7%
Dash Punctuation 6
 
0.4%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 81
 
9.5%
동 61
 
7.2%
시 55
 
6.5%
부 54
 
6.3%
광 53
 
6.2%
역 53
 
6.2%
구 51
 
6.0%
로 50
 
5.9%
사 36
 
4.2%
상 27
 
3.2%
Other values (69) 330
38.8%
Decimal Number
ValueCountFrequency (%)
1 38
17.4%
2 34
15.6%
3 27
12.4%
0 21
9.6%
9 21
9.6%
6 21
9.6%
5 21
9.6%
4 17
7.8%
7 13
 
6.0%
8 5
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
E 1
33.3%
G 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 851
60.2%
Common 560
39.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 81
 
9.5%
동 61
 
7.2%
시 55
 
6.5%
부 54
 
6.3%
광 53
 
6.2%
역 53
 
6.2%
구 51
 
6.0%
로 50
 
5.9%
사 36
 
4.2%
상 27
 
3.2%
Other values (69) 330
38.8%
Common
ValueCountFrequency (%)
229
40.9%
) 52
 
9.3%
( 52
 
9.3%
1 38
 
6.8%
2 34
 
6.1%
3 27
 
4.8%
0 21
 
3.8%
9 21
 
3.8%
6 21
 
3.8%
5 21
 
3.8%
Other values (6) 44
 
7.9%
Latin
ValueCountFrequency (%)
K 1
33.3%
E 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 851
60.2%
ASCII 563
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
40.7%
) 52
 
9.2%
( 52
 
9.2%
1 38
 
6.7%
2 34
 
6.0%
3 27
 
4.8%
0 21
 
3.7%
9 21
 
3.7%
6 21
 
3.7%
5 21
 
3.7%
Other values (9) 47
 
8.3%
Hangul
ValueCountFrequency (%)
산 81
 
9.5%
동 61
 
7.2%
시 55
 
6.5%
부 54
 
6.3%
광 53
 
6.2%
역 53
 
6.2%
구 51
 
6.0%
로 50
 
5.9%
사 36
 
4.2%
상 27
 
3.2%
Other values (69) 330
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing48
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean46688
Minimum46028
Maximum46943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T20:43:06.401914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46028
5-th percentile46205.75
Q146739.75
median46746.5
Q346881.5
95-th percentile46938.5
Maximum46943
Range915
Interquartile range (IQR)141.75

Descriptive statistics

Standard deviation336.53529
Coefficient of variation (CV)0.0072081753
Kurtosis4.5096442
Mean46688
Median Absolute Deviation (MAD)93
Skewness-2.023336
Sum280128
Variance113256
MonotonicityNot monotonic
2024-04-16T20:43:06.505031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
46739 1
 
1.9%
46742 1
 
1.9%
46751 1
 
1.9%
46925 1
 
1.9%
46943 1
 
1.9%
46028 1
 
1.9%
(Missing) 48
88.9%
ValueCountFrequency (%)
46028 1
1.9%
46739 1
1.9%
46742 1
1.9%
46751 1
1.9%
46925 1
1.9%
46943 1
1.9%
ValueCountFrequency (%)
46943 1
1.9%
46925 1
1.9%
46751 1
1.9%
46742 1
1.9%
46739 1
1.9%
46028 1
1.9%

사업장명
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-16T20:43:06.716991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.4444444
Min length2

Characters and Unicode

Total characters402
Distinct characters121
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)92.6%

Sample

1st row(주)삼정지텍
2nd row(주)성철사
3rd row부영CST(주)
4th row(주)진원에너지
5th row삼주이엔지(주)
ValueCountFrequency (%)
주)엔에스브이 2
 
3.4%
주식회사 2
 
3.4%
주)로커스 2
 
3.4%
세원엔지니어링 1
 
1.7%
주)ms이엔지 1
 
1.7%
주)창신금속 1
 
1.7%
주)삼정지텍 1
 
1.7%
주)경동금속주방 1
 
1.7%
동원밸브공업사 1
 
1.7%
주)티와이밸브 1
 
1.7%
Other values (46) 46
78.0%
2024-04-16T20:43:07.057652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
11.9%
( 42
 
10.4%
) 42
 
10.4%
이 16
 
4.0%
동 10
 
2.5%
엔 9
 
2.2%
스 8
 
2.0%
지 8
 
2.0%
에 7
 
1.7%
브 7
 
1.7%
Other values (111) 205
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
75.4%
Open Punctuation 42
 
10.4%
Close Punctuation 42
 
10.4%
Space Separator 5
 
1.2%
Uppercase Letter 5
 
1.2%
Decimal Number 2
 
0.5%
Other Punctuation 2
 
0.5%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
15.8%
이 16
 
5.3%
동 10
 
3.3%
엔 9
 
3.0%
스 8
 
2.6%
지 8
 
2.6%
에 7
 
2.3%
브 7
 
2.3%
영 7
 
2.3%
사 6
 
2.0%
Other values (101) 177
58.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
M 1
20.0%
C 1
20.0%
T 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
75.6%
Common 93
 
23.1%
Latin 5
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
15.8%
이 16
 
5.3%
동 10
 
3.3%
엔 9
 
3.0%
스 8
 
2.6%
지 8
 
2.6%
에 7
 
2.3%
브 7
 
2.3%
영 7
 
2.3%
사 6
 
2.0%
Other values (102) 178
58.6%
Common
ValueCountFrequency (%)
( 42
45.2%
) 42
45.2%
5
 
5.4%
2 2
 
2.2%
. 2
 
2.2%
Latin
ValueCountFrequency (%)
S 2
40.0%
M 1
20.0%
C 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
75.4%
ASCII 98
 
24.4%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
15.8%
이 16
 
5.3%
동 10
 
3.3%
엔 9
 
3.0%
스 8
 
2.6%
지 8
 
2.6%
에 7
 
2.3%
브 7
 
2.3%
영 7
 
2.3%
사 6
 
2.0%
Other values (101) 177
58.4%
ASCII
ValueCountFrequency (%)
( 42
42.9%
) 42
42.9%
5
 
5.1%
2 2
 
2.0%
S 2
 
2.0%
. 2
 
2.0%
M 1
 
1.0%
C 1
 
1.0%
T 1
 
1.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2008-12-08 11:45:57
Maximum2023-05-11 11:00:25
2024-04-16T20:43:07.171509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:43:07.283023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
I
37 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 37
68.5%
U 17
31.5%

Length

2024-04-16T20:43:07.391592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:07.475161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 37
68.5%
u 17
31.5%

데이터갱신일자
Date

Distinct17
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2018-08-31 23:59:59
Maximum2023-05-13 02:40:00
2024-04-16T20:43:07.554193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:43:07.876969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)92.5%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean378553.1
Minimum366283.76
Maximum404935.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T20:43:08.000829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366283.76
5-th percentile366539.34
Q1371800.38
median379478.07
Q3380758.97
95-th percentile395047.54
Maximum404935.13
Range38651.369
Interquartile range (IQR)8958.5842

Descriptive statistics

Standard deviation8883.1712
Coefficient of variation (CV)0.023466117
Kurtosis1.1418237
Mean378553.1
Median Absolute Deviation (MAD)1831.0641
Skewness0.9246148
Sum20063314
Variance78910730
MonotonicityNot monotonic
2024-04-16T20:43:08.143305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
368332.893733152 2
 
3.7%
378413.574560936 2
 
3.7%
379478.073383755 2
 
3.7%
371800.383508751 2
 
3.7%
392659.272186963 1
 
1.9%
380424.626814611 1
 
1.9%
380421.274711109 1
 
1.9%
379681.412492018 1
 
1.9%
380172.381739353 1
 
1.9%
380988.15621424 1
 
1.9%
Other values (39) 39
72.2%
ValueCountFrequency (%)
366283.763436607 1
1.9%
366339.309102431 1
1.9%
366508.43064212 1
1.9%
366559.944407044 1
1.9%
366640.55074692 1
1.9%
366820.624749122 1
1.9%
368332.893733152 2
3.7%
368809.131108416 1
1.9%
369138.000733875 1
1.9%
369205.300369757 1
1.9%
ValueCountFrequency (%)
404935.132929677 1
1.9%
401571.529581731 1
1.9%
397352.424059658 1
1.9%
393510.950917748 1
1.9%
393047.76141459 1
1.9%
392659.272186963 1
1.9%
392611.231858719 1
1.9%
381380.797313785 1
1.9%
381309.137500346 1
1.9%
380988.15621424 1
1.9%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)92.5%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean184854.29
Minimum174047.05
Maximum210694.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T20:43:08.270082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174047.05
5-th percentile175308.62
Q1179182.29
median184747.08
Q3188762.34
95-th percentile194532.1
Maximum210694.5
Range36647.456
Interquartile range (IQR)9580.05

Descriptive statistics

Standard deviation7018.6879
Coefficient of variation (CV)0.037968758
Kurtosis2.9117543
Mean184854.29
Median Absolute Deviation (MAD)4206.4157
Skewness1.1387484
Sum9797277.4
Variance49261979
MonotonicityNot monotonic
2024-04-16T20:43:08.422425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
179182.285025314 2
 
3.7%
175266.882245717 2
 
3.7%
183851.62468751 2
 
3.7%
179167.833899389 2
 
3.7%
180879.10068087 1
 
1.9%
188607.73131168 1
 
1.9%
188899.976931041 1
 
1.9%
183568.234731374 1
 
1.9%
189427.739084512 1
 
1.9%
188472.973097509 1
 
1.9%
Other values (39) 39
72.2%
ValueCountFrequency (%)
174047.04848343 1
1.9%
175266.882245717 2
3.7%
175336.448679095 1
1.9%
175608.897194753 1
1.9%
175824.972895513 1
1.9%
175897.724166058 1
1.9%
178558.543841276 1
1.9%
178670.641502029 1
1.9%
178820.01465595 1
1.9%
179167.833899389 2
3.7%
ValueCountFrequency (%)
210694.504433192 1
1.9%
204270.587837349 1
1.9%
195031.174205517 1
1.9%
194199.382353559 1
1.9%
192010.138424132 1
1.9%
190729.150048589 1
1.9%
190461.558005072 1
1.9%
189427.739084512 1
1.9%
188953.493284528 1
1.9%
188936.794366248 1
1.9%

저장설비위치
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2024-04-16T20:43:08.559463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row동 번지내
ValueCountFrequency (%)
동 1
50.0%
번지내 1
50.0%
2024-04-16T20:43:08.772776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1
20.0%
1
20.0%
번 1
20.0%
지 1
20.0%
내 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1
25.0%
번 1
25.0%
지 1
25.0%
내 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1
25.0%
번 1
25.0%
지 1
25.0%
내 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1
25.0%
번 1
25.0%
지 1
25.0%
내 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

용기저장실면적
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
0.0
39 
<NA>
13 
52.0
 
1
551.1
 
1

Length

Max length5
Median length3
Mean length3.2962963
Min length3

Unique

Unique2 ?
Unique (%)3.7%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 39
72.2%
<NA> 13
 
24.1%
52.0 1
 
1.9%
551.1 1
 
1.9%

Length

2024-04-16T20:43:08.898459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:09.010188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 39
72.2%
na 13
 
24.1%
52.0 1
 
1.9%
551.1 1
 
1.9%

차고지면적
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
40 
<NA>
13 
24
 
1

Length

Max length4
Median length1
Mean length1.7407407
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row0
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 40
74.1%
<NA> 13
 
24.1%
24 1
 
1.9%

Length

2024-04-16T20:43:09.112432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:09.195284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 40
74.1%
na 13
 
24.1%
24 1
 
1.9%

사무실면적
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
40 
<NA>
13 
50
 
1

Length

Max length4
Median length1
Mean length1.7407407
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row0
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 40
74.1%
<NA> 13
 
24.1%
50 1
 
1.9%

Length

2024-04-16T20:43:09.284370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:09.386408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 40
74.1%
na 13
 
24.1%
50 1
 
1.9%

배관설치장소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2024-04-16T20:43:09.458027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row부지내
ValueCountFrequency (%)
부지내 1
100.0%
2024-04-16T20:43:09.678563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 1
33.3%
지 1
33.3%
내 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1
33.3%
지 1
33.3%
내 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1
33.3%
지 1
33.3%
내 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 1
33.3%
지 1
33.3%
내 1
33.3%

길이변경내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

취급가스용량
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
49 
0
5 

Length

Max length4
Median length4
Mean length3.7222222
Min length1

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> 49
90.7%
0 5
 
9.3%

Length

2024-04-16T20:43:09.798890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:43:09.894132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
90.7%
0 5
 
9.3%

가스용품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

설비명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

물품규격
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

면제범위
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Unnamed: 39
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)저장설비위치용기저장실면적차고지면적사무실면적배관설치장소길이변경내용취급가스용량가스용품종류명설비명물품규격면제범위Unnamed: 39
01액화석유가스용품제조업체09_28_09_P33100002000331001604100023-000012000-11-02<NA>3폐업3폐지2010-07-21<NA><NA><NA>051 6113680<NA><NA>부산광역시 남구 용호동 566번지 7 호부산광역시 남구 용호로269번길 32 (용호동)<NA>(주)삼정지텍2013-12-23 18:33:09I2018-08-31 23:59:59<NA>392659.272187180879.100681<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
12액화석유가스용품제조업체09_28_09_P33300001980333001504100001-000011980-05-02<NA>3폐업3폐지2016-09-21<NA><NA><NA>051 5231225<NA><NA>부산광역시 해운대구 반여동 1401번지 반여1동부산광역시 해운대구 반여로41번길 36 (반여동)<NA>(주)성철사2018-01-05 14:45:20I2018-08-31 23:59:59<NA>393047.761415190729.150049<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
23액화석유가스용품제조업체09_28_09_P33400002013334000004100001-000012013-04-12<NA>1영업/정상1신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 홍티로 103 (다대동)<NA>부영CST(주)2013-05-13 17:21:24I2018-08-31 23:59:59<NA>378689.680948175608.897195<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34액화석유가스용품제조업체09_28_09_P33400002011334008004100002-000012011-12-27<NA>3폐업3폐지2011-12-27<NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대1동 1548번지 8호부산광역시 사하구 다대로 722 (다대동)<NA>(주)진원에너지2021-04-22 09:30:22U2021-04-24 02:40:00<NA>378961.382513174047.048483<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
45액화석유가스용품제조업체09_28_09_P33400000000334000004100001-000011998-05-08<NA>3폐업3폐지2013-08-20<NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대동 1508번지 3호부산광역시 사하구 다산로105번길 72 (다대동)<NA>삼주이엔지(주)2013-09-02 16:20:33I2018-08-31 23:59:59<NA>378376.888163175897.724166<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
56액화석유가스용품제조업체09_28_09_P33400002008334006604100002-000012008-12-16<NA>3폐업3폐지2009-04-24<NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대동 1515번지 3호부산광역시 사하구 다산로53번길 49 (다대동)<NA>주식회사 동강금속2009-04-24 10:55:48I2018-08-31 23:59:59<NA>378413.574561175266.882246<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67액화석유가스용품제조업체09_28_09_P33400002014334008004100001-000012014-03-14<NA>1영업/정상5개시<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대동 1515번지 3호부산광역시 사하구 다산로53번길 49 (다대동)<NA>(주)동강금속2017-01-24 18:11:59I2018-08-31 23:59:59<NA>378413.574561175266.882246<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
78액화석유가스용품제조업체09_28_09_P33400002014334008004100002-000012014-07-15<NA>1영업/정상5개시<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대동 1509번지 6호부산광역시 사하구 다산로106번길 47 (다대동)<NA>(주)아미인터내셔널2015-04-01 08:54:05I2018-08-31 23:59:59<NA>378565.368291175824.972896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89액화석유가스용품제조업체09_28_09_P33400002015334008004100001-000012015-06-10<NA>1영업/정상5개시<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대동 1517번지 1호부산광역시 사하구 다산로 92 (다대동)<NA>(주)코밸2016-04-05 18:33:57I2018-08-31 23:59:59<NA>378627.693913175336.448679<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910액화석유가스용품제조업체09_28_09_P33500001996335000004100004-000012009-07-13<NA>1영업/정상1신규<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 회동동 127번지부산광역시 금정구 동대로 20 (회동동)<NA>우영종합주방설비2013-12-26 11:08:24I2018-08-31 23:59:59<NA>393510.950918194199.382354동 번지내52.02450부지내<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)저장설비위치용기저장실면적차고지면적사무실면적배관설치장소길이변경내용취급가스용량가스용품종류명설비명물품규격면제범위Unnamed: 39
4445액화석유가스용품제조업체09_28_09_P33900002012339008304100002-000012012-08-01<NA>3폐업3폐지2013-03-20<NA><NA><NA><NA><NA><NA>부산광역시 사상구 삼락동 401번지 24호부산광역시 사상구 낙동대로1292번길 51 (삼락동)<NA>씨.에이.브이2013-03-20 14:49:18I2018-08-31 23:59:59<NA>380250.818153188010.542154<NA>551.100<NA><NA><NA><NA><NA><NA><NA><NA>
4546액화석유가스용품제조업체09_28_09_P33900002012339008304100001-000012012-05-11<NA>1영업/정상4휴지사업재개<NA><NA><NA>2014-07-10<NA><NA><NA>부산광역시 사상구 감전동 158번지 11호부산광역시 사상구 학감대로 216-26 (감전동)<NA>에스씨알엔디2017-06-28 15:29:19I2018-08-31 23:59:59<NA>381380.797314185266.398486<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
4647액화석유가스용품제조업체09_28_09_P33900002020339009104100001-000012020-03-12<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 모라동 717번지 4호 에이동부산광역시 사상구 모덕로95번길 50, 에이동 (모라동)46925(주)극동이엔지2020-03-12 12:27:07I2020-03-15 00:23:23<NA>380962.194828188936.794366<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
4748액화석유가스용품제조업체09_28_09_P33900001987339000004100001-000011987-02-10<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 감전동 508번지 10호부산광역시 사상구 낙동대로 865 (감전동)<NA>동아공업사2011-11-24 13:37:42I2018-08-31 23:59:59<NA>379478.073384183851.624688<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
4849액화석유가스용품제조업체09_28_09_P33900001990339000004100001-000011990-09-03<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 학장동 264번지 5호부산광역시 사상구 학장로 165 (학장동)<NA>(주)MS이엔지2020-11-26 11:05:06U2020-11-28 02:40:00<NA>380847.349925184429.806177<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
4950액화석유가스용품제조업체09_28_09_P33900002002339000004100003-000012002-11-15<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 감전동 508번지 10호부산광역시 사상구 낙동대로 865 (감전동)<NA>세원엔지니어링2011-11-24 13:19:36I2018-08-31 23:59:59<NA>379478.073384183851.624688<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
5051액화석유가스용품제조업체09_28_09_P33900002016339009104100001-000012016-06-13<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 덕포동 269-13 (주)K2시스템 E&G부산광역시 사상구 사상로393번길 21 (주)K2시스템 E&G (덕포동)46943(주)케이투시스템이엔지2023-04-14 14:32:51U2023-04-16 02:40:00<NA>380671.819413188522.651049<NA>0.000<NA><NA>0<NA><NA><NA><NA><NA>
5152액화석유가스용품제조업체09_28_09_P34000001999340000004100001-000012009-05-04<NA>3폐업3폐지2009-05-14<NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 청강리 706번지 8호부산광역시 기장군 기장읍 기장대로413번길 24<NA>태연기계(주)2009-05-04 16:21:14I2018-08-31 23:59:59<NA>401571.529582195031.174206<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
5253액화석유가스용품제조업체09_28_09_P34000002013340004404100002-000012013-09-23<NA>1영업/정상5개시<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관면 매학리 166번지 2호부산광역시 기장군 정관면 정관상곡2길 25-31<NA>성화퓨렌텍(주)2017-11-09 13:30:28I2018-08-31 23:59:59<NA>397352.42406204270.587837<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>
5354액화석유가스용품제조업체09_28_09_P34000002017340010904100002-000012017-12-22<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 장안읍 명례리 899번지 10호부산광역시 기장군 장안읍 명례산단1로 16646028케이티엘㈜2018-11-07 11:21:58U2018-11-09 02:37:59<NA>404935.13293210694.504433<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA>