Overview

Dataset statistics

Number of variables39
Number of observations42
Missing cells617
Missing cells (%)37.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory343.1 B

Variable types

Numeric7
Categorical15
Text4
Unsupported13

Dataset

Description6270000_대구광역시_09_28_09_P_액화석유가스용품제조업체_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090719&dataSetDetailId=DDI_0000090784&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
휴업시작일자 is highly imbalanced (79.6%)Imbalance
휴업종료일자 is highly imbalanced (79.6%)Imbalance
재개업일자 is highly imbalanced (83.8%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 30 (71.4%) missing valuesMissing
소재지전화 has 42 (100.0%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 42 (100.0%) missing valuesMissing
소재지전체주소 has 6 (14.3%) missing valuesMissing
도로명우편번호 has 33 (78.6%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.4%) missing valuesMissing
좌표정보(Y) has 1 (2.4%) missing valuesMissing
저장설비위치 has 42 (100.0%) missing valuesMissing
배관설치장소 has 42 (100.0%) missing valuesMissing
길이변경내용 has 42 (100.0%) missing valuesMissing
취급가스용량 has 42 (100.0%) missing valuesMissing
가스용품종류명 has 42 (100.0%) missing valuesMissing
설비명 has 42 (100.0%) missing valuesMissing
물품규격 has 42 (100.0%) missing valuesMissing
면제범위 has 42 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 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
저장설비위치 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배관설치장소 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
취급가스용량 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

Reproduction

Analysis started2023-12-10 18:59:43.965292
Analysis finished2023-12-10 18:59:44.698414
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:59:45.210660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-11T03:59:45.419858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
액화석유가스용품제조업체
42 

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 42
100.0%

Length

2023-12-11T03:59:45.617206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:45.767843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
액화석유가스용품제조업체 42
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
09_28_09_P
42 

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 42
100.0%

Length

2023-12-11T03:59:45.942689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:46.092683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_09_p 42
100.0%

개방자치단체코드
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
3450000
18 
3420000
7 
3470000
7 
3430000
5 
3480000
5 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3450000 18
42.9%
3420000 7
 
16.7%
3470000 7
 
16.7%
3430000 5
 
11.9%
3480000 5
 
11.9%

Length

2023-12-11T03:59:46.245042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:46.398396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3450000 18
42.9%
3420000 7
 
16.7%
3470000 7
 
16.7%
3430000 5
 
11.9%
3480000 5
 
11.9%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:59:46.685806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1050
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

Unique42 ?
Unique (%)100.0%

Sample

1st row2010342009004100001-00001
2nd row2016342013504100002-00001
3rd row1984342000004100001-00001
4th row1988342000004100002-00001
5th row1994342000004100039-00001
ValueCountFrequency (%)
2010342009004100001-00001 1
 
2.4%
2017347012404100001-00001 1
 
2.4%
2013348031204100001-00001 1
 
2.4%
2001345000004100006-00001 1
 
2.4%
1987345000004100001-00001 1
 
2.4%
2002345000004100007-00001 1
 
2.4%
2009345000004100008-00001 1
 
2.4%
2009345000004100009-00001 1
 
2.4%
2017345014904100001-00001 1
 
2.4%
2021345016004100001-00001 1
 
2.4%
Other values (32) 32
76.2%
2023-12-11T03:59:47.157434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 533
50.8%
1 156
 
14.9%
4 97
 
9.2%
3 63
 
6.0%
2 57
 
5.4%
- 42
 
4.0%
9 41
 
3.9%
5 28
 
2.7%
7 14
 
1.3%
8 12
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1008
96.0%
Dash Punctuation 42
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 533
52.9%
1 156
 
15.5%
4 97
 
9.6%
3 63
 
6.2%
2 57
 
5.7%
9 41
 
4.1%
5 28
 
2.8%
7 14
 
1.4%
8 12
 
1.2%
6 7
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 533
50.8%
1 156
 
14.9%
4 97
 
9.2%
3 63
 
6.0%
2 57
 
5.4%
- 42
 
4.0%
9 41
 
3.9%
5 28
 
2.7%
7 14
 
1.3%
8 12
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 533
50.8%
1 156
 
14.9%
4 97
 
9.2%
3 63
 
6.0%
2 57
 
5.4%
- 42
 
4.0%
9 41
 
3.9%
5 28
 
2.7%
7 14
 
1.3%
8 12
 
1.1%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20052774
Minimum19840229
Maximum20210622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:59:47.382922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840229
5-th percentile19882217
Q119943640
median20090356
Q320137825
95-th percentile20189630
Maximum20210622
Range370393
Interquartile range (IQR)194185.25

Descriptive statistics

Standard deviation107918.57
Coefficient of variation (CV)0.0053817279
Kurtosis-1.2323424
Mean20052774
Median Absolute Deviation (MAD)79689.5
Skewness-0.34889416
Sum8.4221652 × 108
Variance1.1646419 × 1010
MonotonicityNot monotonic
2023-12-11T03:59:47.615291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20100303 1
 
2.4%
20130409 1
 
2.4%
19871109 1
 
2.4%
20020222 1
 
2.4%
20090212 1
 
2.4%
20090501 1
 
2.4%
20170115 1
 
2.4%
20210202 1
 
2.4%
20170102 1
 
2.4%
19901011 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
19840229 1
2.4%
19871109 1
2.4%
19881228 1
2.4%
19901011 1
2.4%
19910404 1
2.4%
19910405 1
2.4%
19910812 1
2.4%
19931202 1
2.4%
19940715 1
2.4%
19940729 1
2.4%
ValueCountFrequency (%)
20210622 1
2.4%
20210202 1
2.4%
20190604 1
2.4%
20171127 1
2.4%
20170925 1
2.4%
20170115 1
2.4%
20170102 1
2.4%
20160811 1
2.4%
20160617 1
2.4%
20150306 1
2.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
30 
3
12 

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 30
71.4%
3 12
 
28.6%

Length

2023-12-11T03:59:47.810810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:47.990343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
71.4%
3 12
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업/정상
30 
폐업
12 

Length

Max length5
Median length5
Mean length4.1428571
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 30
71.4%
폐업 12
 
28.6%

Length

2023-12-11T03:59:48.198349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:48.359679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
71.4%
폐업 12
 
28.6%

상세영업상태코드
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
BBBB
24 
3
12 
5
3 
1
 
2
4
 
1

Length

Max length4
Median length4
Mean length2.7142857
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row4
2nd row5
3rd rowBBBB
4th rowBBBB
5th rowBBBB

Common Values

ValueCountFrequency (%)
BBBB 24
57.1%
3 12
28.6%
5 3
 
7.1%
1 2
 
4.8%
4 1
 
2.4%

Length

2023-12-11T03:59:48.529372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:48.696597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 24
57.1%
3 12
28.6%
5 3
 
7.1%
1 2
 
4.8%
4 1
 
2.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
24 
폐지
12 
개시
3 
신규
 
2
휴지사업재개
 
1

Length

Max length6
Median length4
Mean length3.2380952
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
57.1%
폐지 12
28.6%
개시 3
 
7.1%
신규 2
 
4.8%
휴지사업재개 1
 
2.4%

Length

2023-12-11T03:59:48.884275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:49.058596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
57.1%
폐지 12
28.6%
개시 3
 
7.1%
신규 2
 
4.8%
휴지사업재개 1
 
2.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing30
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean20146758
Minimum20100611
Maximum20191206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:59:49.228507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100611
5-th percentile20100948
Q120120984
median20146009
Q320170927
95-th percentile20185714
Maximum20191206
Range90595
Interquartile range (IQR)49942.75

Descriptive statistics

Standard deviation30992.629
Coefficient of variation (CV)0.0015383432
Kurtosis-1.2846648
Mean20146758
Median Absolute Deviation (MAD)25014
Skewness-0.20868599
Sum2.417611 × 108
Variance9.6054304 × 108
MonotonicityNot monotonic
2023-12-11T03:59:49.378971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20101224 1
 
2.4%
20100611 1
 
2.4%
20170821 1
 
2.4%
20120322 1
 
2.4%
20191206 1
 
2.4%
20121205 1
 
2.4%
20170831 1
 
2.4%
20181221 1
 
2.4%
20141010 1
 
2.4%
20140421 1
 
2.4%
Other values (2) 2
 
4.8%
(Missing) 30
71.4%
ValueCountFrequency (%)
20100611 1
2.4%
20101224 1
2.4%
20120322 1
2.4%
20121205 1
2.4%
20140421 1
2.4%
20141010 1
2.4%
20151008 1
2.4%
20170821 1
2.4%
20170831 1
2.4%
20171215 1
2.4%
ValueCountFrequency (%)
20191206 1
2.4%
20181221 1
2.4%
20171215 1
2.4%
20170831 1
2.4%
20170821 1
2.4%
20151008 1
2.4%
20141010 1
2.4%
20140421 1
2.4%
20121205 1
2.4%
20120322 1
2.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
40 
20120126
 
1
20181113
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique2 ?
Unique (%)4.8%

Sample

1st row20120126
2nd row20181113
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
95.2%
20120126 1
 
2.4%
20181113 1
 
2.4%

Length

2023-12-11T03:59:49.593971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:49.758136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
95.2%
20120126 1
 
2.4%
20181113 1
 
2.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
40 
20121231
 
1
20191112
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique2 ?
Unique (%)4.8%

Sample

1st row20121231
2nd row20191112
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
95.2%
20121231 1
 
2.4%
20191112 1
 
2.4%

Length

2023-12-11T03:59:49.965498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:50.145824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
95.2%
20121231 1
 
2.4%
20191112 1
 
2.4%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
41 
20130719
 
1

Length

Max length8
Median length4
Mean length4.0952381
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row20130719
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 41
97.6%
20130719 1
 
2.4%

Length

2023-12-11T03:59:50.324572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:50.491103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
97.6%
20130719 1
 
2.4%

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지전체주소
Text

MISSING 

Distinct25
Distinct (%)69.4%
Missing6
Missing (%)14.3%
Memory size468.0 B
2023-12-11T03:59:50.716201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length23.111111
Min length17

Characters and Unicode

Total characters832
Distinct characters61
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

Unique19 ?
Unique (%)52.8%

Sample

1st row대구광역시 동구 신평동 ***번지 *호
2nd row대구광역시 동구 각산동 ***번지 *호
3rd row대구광역시 서구 이현동 **번지 ***호
4th row대구광역시 서구 중리동 ****번지 **호
5th row대구광역시 서구 비산동 ****번지 **호
ValueCountFrequency (%)
대구광역시 36
19.7%
번지 30
16.4%
호 28
15.3%
북구 18
9.8%
노원동*가 8
 
4.4%
6
 
3.3%
달서구 6
 
3.3%
산격동 6
 
3.3%
달성군 5
 
2.7%
서구 5
 
2.7%
Other values (27) 35
19.1%
2023-12-11T03:59:51.197354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 179
21.5%
147
17.7%
구 70
 
8.4%
대 37
 
4.4%
광 36
 
4.3%
역 36
 
4.3%
시 36
 
4.3%
지 33
 
4.0%
동 33
 
4.0%
번 30
 
3.6%
Other values (51) 195
23.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
59.5%
Other Punctuation 180
 
21.6%
Space Separator 147
 
17.7%
Uppercase Letter 5
 
0.6%
Dash Punctuation 3
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 70
14.1%
대 37
 
7.5%
광 36
 
7.3%
역 36
 
7.3%
시 36
 
7.3%
지 33
 
6.7%
동 33
 
6.7%
번 30
 
6.1%
호 29
 
5.9%
북 19
 
3.8%
Other values (40) 136
27.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
L 1
20.0%
X 1
20.0%
T 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 179
99.4%
, 1
 
0.6%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
59.5%
Common 332
39.9%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 70
14.1%
대 37
 
7.5%
광 36
 
7.3%
역 36
 
7.3%
시 36
 
7.3%
지 33
 
6.7%
동 33
 
6.7%
번 30
 
6.1%
호 29
 
5.9%
북 19
 
3.8%
Other values (40) 136
27.5%
Common
ValueCountFrequency (%)
* 179
53.9%
147
44.3%
- 3
 
0.9%
, 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
Latin
ValueCountFrequency (%)
B 1
20.0%
L 1
20.0%
X 1
20.0%
T 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
59.5%
ASCII 337
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 179
53.1%
147
43.6%
- 3
 
0.9%
B 1
 
0.3%
L 1
 
0.3%
, 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
X 1
 
0.3%
T 1
 
0.3%
Hangul
ValueCountFrequency (%)
구 70
14.1%
대 37
 
7.5%
광 36
 
7.3%
역 36
 
7.3%
시 36
 
7.3%
지 33
 
6.7%
동 33
 
6.7%
번 30
 
6.1%
호 29
 
5.9%
북 19
 
3.8%
Other values (40) 136
27.5%

도로명전체주소
Text

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:59:51.543037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length29
Mean length25.714286
Min length20

Characters and Unicode

Total characters1080
Distinct characters71
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

Unique31 ?
Unique (%)73.8%

Sample

1st row대구광역시 동구 신평로 *** (신평동)
2nd row대구광역시 동구 안심로**길 ** (동호동)
3rd row대구광역시 동구 안심로**길 * (각산동)
4th row대구광역시 동구 안심로**길 * (각산동)
5th row대구광역시 동구 안심로**길 ** (동호동)
ValueCountFrequency (%)
대구광역시 42
19.5%
42
19.5%
북구 18
 
8.4%
노원동*가 8
 
3.7%
달서구 7
 
3.3%
산격동 7
 
3.3%
동구 7
 
3.3%
안심로**길 5
 
2.3%
달성군 5
 
2.3%
서구 5
 
2.3%
Other values (46) 69
32.1%
2023-12-11T03:59:52.137251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
17.4%
* 164
15.2%
구 83
 
7.7%
동 50
 
4.6%
대 46
 
4.3%
로 42
 
3.9%
시 42
 
3.9%
역 42
 
3.9%
광 42
 
3.9%
( 38
 
3.5%
Other values (61) 343
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 638
59.1%
Space Separator 188
 
17.4%
Other Punctuation 167
 
15.5%
Open Punctuation 38
 
3.5%
Close Punctuation 38
 
3.5%
Dash Punctuation 8
 
0.7%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 83
 
13.0%
동 50
 
7.8%
대 46
 
7.2%
로 42
 
6.6%
시 42
 
6.6%
역 42
 
6.6%
광 42
 
6.6%
길 27
 
4.2%
북 23
 
3.6%
달 22
 
3.4%
Other values (52) 219
34.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
X 1
33.3%
S 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 164
98.2%
, 3
 
1.8%
Space Separator
ValueCountFrequency (%)
188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
59.1%
Common 439
40.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 83
 
13.0%
동 50
 
7.8%
대 46
 
7.2%
로 42
 
6.6%
시 42
 
6.6%
역 42
 
6.6%
광 42
 
6.6%
길 27
 
4.2%
북 23
 
3.6%
달 22
 
3.4%
Other values (52) 219
34.3%
Common
ValueCountFrequency (%)
188
42.8%
* 164
37.4%
( 38
 
8.7%
) 38
 
8.7%
- 8
 
1.8%
, 3
 
0.7%
Latin
ValueCountFrequency (%)
T 1
33.3%
X 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
59.1%
ASCII 442
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
42.5%
* 164
37.1%
( 38
 
8.6%
) 38
 
8.6%
- 8
 
1.8%
, 3
 
0.7%
T 1
 
0.2%
X 1
 
0.2%
S 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 83
 
13.0%
동 50
 
7.8%
대 46
 
7.2%
로 42
 
6.6%
시 42
 
6.6%
역 42
 
6.6%
광 42
 
6.6%
길 27
 
4.2%
북 23
 
3.6%
달 22
 
3.4%
Other values (52) 219
34.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing33
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean42170
Minimum41503
Maximum43013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:59:52.337334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41503
5-th percentile41503
Q141506
median41845
Q342709
95-th percentile42969.8
Maximum43013
Range1510
Interquartile range (IQR)1203

Descriptive statistics

Standard deviation648.58307
Coefficient of variation (CV)0.015380201
Kurtosis-2.1898818
Mean42170
Median Absolute Deviation (MAD)342
Skewness0.20473368
Sum379530
Variance420660
MonotonicityNot monotonic
2023-12-11T03:59:52.501552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
41845 2
 
4.8%
41503 2
 
4.8%
41506 1
 
2.4%
42709 1
 
2.4%
42701 1
 
2.4%
43013 1
 
2.4%
42905 1
 
2.4%
(Missing) 33
78.6%
ValueCountFrequency (%)
41503 2
4.8%
41506 1
2.4%
41845 2
4.8%
42701 1
2.4%
42709 1
2.4%
42905 1
2.4%
43013 1
2.4%
ValueCountFrequency (%)
43013 1
2.4%
42905 1
2.4%
42709 1
2.4%
42701 1
2.4%
41845 2
4.8%
41506 1
2.4%
41503 2
4.8%

사업장명
Text

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:59:52.823328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11.5
Mean length7.452381
Min length4

Characters and Unicode

Total characters313
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)76.2%

Sample

1st row(주)성운이엔지
2nd row(주)케이·피·씨
3rd row(주)야성
4th row(주)케이·피·씨
5th row대영산업
ValueCountFrequency (%)
코스모가스텍(주 3
 
6.7%
주)금강밸브 3
 
6.7%
주식회사 3
 
6.7%
주)한국소방기구제작소 2
 
4.4%
주)케이·피·씨 2
 
4.4%
stx에너지솔루션 1
 
2.2%
대성금속 1
 
2.2%
주)거산케이앤씨 1
 
2.2%
주)풍산산업기기 1
 
2.2%
에스에프에스 1
 
2.2%
Other values (27) 27
60.0%
2023-12-11T03:59:53.360491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
11.2%
( 29
 
9.3%
) 29
 
9.3%
업 10
 
3.2%
스 8
 
2.6%
이 8
 
2.6%
기 7
 
2.2%
산 7
 
2.2%
방 6
 
1.9%
성 6
 
1.9%
Other values (82) 168
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 239
76.4%
Open Punctuation 29
 
9.3%
Close Punctuation 29
 
9.3%
Uppercase Letter 9
 
2.9%
Other Punctuation 4
 
1.3%
Space Separator 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
14.6%
업 10
 
4.2%
스 8
 
3.3%
이 8
 
3.3%
기 7
 
2.9%
산 7
 
2.9%
방 6
 
2.5%
성 6
 
2.5%
대 6
 
2.5%
사 5
 
2.1%
Other values (70) 141
59.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
T 1
11.1%
X 1
11.1%
B 1
11.1%
K 1
11.1%
E 1
11.1%
N 1
11.1%
G 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
· 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 239
76.4%
Common 65
 
20.8%
Latin 9
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
14.6%
업 10
 
4.2%
스 8
 
3.3%
이 8
 
3.3%
기 7
 
2.9%
산 7
 
2.9%
방 6
 
2.5%
성 6
 
2.5%
대 6
 
2.5%
사 5
 
2.1%
Other values (70) 141
59.0%
Latin
ValueCountFrequency (%)
S 2
22.2%
T 1
11.1%
X 1
11.1%
B 1
11.1%
K 1
11.1%
E 1
11.1%
N 1
11.1%
G 1
11.1%
Common
ValueCountFrequency (%)
( 29
44.6%
) 29
44.6%
· 4
 
6.2%
3
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 239
76.4%
ASCII 70
 
22.4%
None 4
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
14.6%
업 10
 
4.2%
스 8
 
3.3%
이 8
 
3.3%
기 7
 
2.9%
산 7
 
2.9%
방 6
 
2.5%
성 6
 
2.5%
대 6
 
2.5%
사 5
 
2.1%
Other values (70) 141
59.0%
ASCII
ValueCountFrequency (%)
( 29
41.4%
) 29
41.4%
3
 
4.3%
S 2
 
2.9%
T 1
 
1.4%
X 1
 
1.4%
B 1
 
1.4%
K 1
 
1.4%
E 1
 
1.4%
N 1
 
1.4%
None
ValueCountFrequency (%)
· 4
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172129 × 1013
Minimum2.0100611 × 1013
Maximum2.0210702 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:59:53.588505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100611 × 1013
5-th percentile2.0120842 × 1013
Q12.015079 × 1013
median2.0180913 × 1013
Q32.0190507 × 1013
95-th percentile2.0210602 × 1013
Maximum2.0210702 × 1013
Range1.1009095 × 1011
Interquartile range (IQR)3.9717506 × 1010

Descriptive statistics

Standard deviation3.0221559 × 1010
Coefficient of variation (CV)0.0014981839
Kurtosis-0.28859686
Mean2.0172129 × 1013
Median Absolute Deviation (MAD)1.944753 × 1010
Skewness-0.77046971
Sum8.4722941 × 1014
Variance9.1334264 × 1020
MonotonicityNot monotonic
2023-12-11T03:59:53.800172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20130719172859 1
 
2.4%
20140421174251 1
 
2.4%
20190507135516 1
 
2.4%
20190507143350 1
 
2.4%
20190507144201 1
 
2.4%
20190507144611 1
 
2.4%
20180803103432 1
 
2.4%
20210202155752 1
 
2.4%
20210702091203 1
 
2.4%
20141010115907 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
20100611144845 1
2.4%
20101224110552 1
2.4%
20120322172821 1
2.4%
20130719172859 1
2.4%
20131127164811 1
2.4%
20131205154440 1
2.4%
20131205154525 1
2.4%
20140421174251 1
2.4%
20141010115907 1
2.4%
20141215155450 1
2.4%
ValueCountFrequency (%)
20210702091203 1
2.4%
20210701143733 1
2.4%
20210623105755 1
2.4%
20210202155752 1
2.4%
20201230142710 1
2.4%
20201117143247 1
2.4%
20201102160215 1
2.4%
20200508113428 1
2.4%
20200213160600 1
2.4%
20200113201510 1
2.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
24 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 24
57.1%
U 18
42.9%

Length

2023-12-11T03:59:54.029292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:54.198875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 24
57.1%
u 18
42.9%

데이터갱신일자
Categorical

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
2018-08-31 23:59:59.0
21 
2019-05-09 02:40:00.0
7 
2020-11-04 02:40:00.0
 
1
2020-05-10 02:40:00.0
 
1
2021-06-25 00:22:54.0
 
1
Other values (11)
11 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)33.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-11-04 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 21
50.0%
2019-05-09 02:40:00.0 7
 
16.7%
2020-11-04 02:40:00.0 1
 
2.4%
2020-05-10 02:40:00.0 1
 
2.4%
2021-06-25 00:22:54.0 1
 
2.4%
2021-07-03 00:22:53.0 1
 
2.4%
2020-02-15 02:40:00.0 1
 
2.4%
2018-11-18 02:37:48.0 1
 
2.4%
2018-10-25 02:37:43.0 1
 
2.4%
2020-01-15 02:40:00.0 1
 
2.4%
Other values (6) 6
 
14.3%

Length

2023-12-11T03:59:54.361432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 21
25.0%
23:59:59.0 21
25.0%
02:40:00.0 16
19.0%
2019-05-09 7
 
8.3%
2018-10-25 1
 
1.2%
2019-03-10 1
 
1.2%
2021-07-04 1
 
1.2%
00:23:03.0 1
 
1.2%
2021-02-04 1
 
1.2%
2018-12-01 1
 
1.2%
Other values (13) 13
15.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean342011.27
Minimum326223.1
Maximum355270.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:59:54.537456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326223.1
5-th percentile329302.72
Q1336848.36
median341292.97
Q3345132.37
95-th percentile355055.37
Maximum355270.29
Range29047.181
Interquartile range (IQR)8284.0058

Descriptive statistics

Standard deviation7305.2393
Coefficient of variation (CV)0.021359645
Kurtosis-0.15423935
Mean342011.27
Median Absolute Deviation (MAD)3910.1433
Skewness0.14993769
Sum14022462
Variance53366521
MonotonicityNot monotonic
2023-12-11T03:59:54.767761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
354890.333196 2
 
4.8%
338972.793043 2
 
4.8%
336848.363465 2
 
4.8%
351896.844391 1
 
2.4%
336826.384354 1
 
2.4%
340174.370642 1
 
2.4%
345203.116013 1
 
2.4%
345116.091294 1
 
2.4%
342444.886486 1
 
2.4%
344931.686642 1
 
2.4%
Other values (28) 28
66.7%
ValueCountFrequency (%)
326223.104805 1
2.4%
328949.901553 1
2.4%
329302.715181 1
2.4%
332051.395902 1
2.4%
334527.628303 1
2.4%
334836.27161 1
2.4%
335101.180219 1
2.4%
336826.384354 1
2.4%
336844.00585 1
2.4%
336848.363465 2
4.8%
ValueCountFrequency (%)
355270.285965 1
2.4%
355172.287752 1
2.4%
355055.374436 1
2.4%
354890.333196 2
4.8%
351896.844391 1
2.4%
351544.53618 1
2.4%
346306.145631 1
2.4%
345982.020281 1
2.4%
345203.116013 1
2.4%
345132.369274 1
2.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean263829.76
Minimum237836
Maximum269286.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:59:54.979363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237836
5-th percentile248566.93
Q1263478.65
median265604.87
Q3267380.66
95-th percentile269118.29
Maximum269286.93
Range31450.933
Interquartile range (IQR)3902.0118

Descriptive statistics

Standard deviation6982.7859
Coefficient of variation (CV)0.026467014
Kurtosis8.0033906
Mean263829.76
Median Absolute Deviation (MAD)2126.2251
Skewness-2.7502599
Sum10817020
Variance48759299
MonotonicityNot monotonic
2023-12-11T03:59:55.169412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
264478.817551 2
 
4.8%
263478.648903 2
 
4.8%
260777.789003 2
 
4.8%
265702.138449 1
 
2.4%
260004.695223 1
 
2.4%
267045.01616 1
 
2.4%
269286.931967 1
 
2.4%
269100.046958 1
 
2.4%
266547.776176 1
 
2.4%
268911.8027 1
 
2.4%
Other values (28) 28
66.7%
ValueCountFrequency (%)
237835.998538 1
2.4%
238662.711304 1
2.4%
248566.933291 1
2.4%
260004.695223 1
2.4%
260684.823839 1
2.4%
260777.789003 2
4.8%
261648.142899 1
2.4%
261773.649384 1
2.4%
262194.53234 1
2.4%
263478.648903 2
4.8%
ValueCountFrequency (%)
269286.931967 1
2.4%
269223.624733 1
2.4%
269118.292991 1
2.4%
269100.046958 1
2.4%
268943.170264 1
2.4%
268913.13745 1
2.4%
268911.8027 1
2.4%
268908.617002 1
2.4%
268619.337468 1
2.4%
267576.027715 1
2.4%

저장설비위치
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

용기저장실면적
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
32 
<NA>
10 

Length

Max length4
Median length1
Mean length1.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
76.2%
<NA> 10
 
23.8%

Length

2023-12-11T03:59:55.388055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:55.554365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
76.2%
na 10
 
23.8%

차고지면적
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
32 
<NA>
10 

Length

Max length4
Median length1
Mean length1.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
76.2%
<NA> 10
 
23.8%

Length

2023-12-11T03:59:55.731851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:55.933363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
76.2%
na 10
 
23.8%

사무실면적
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
32 
<NA>
10 

Length

Max length4
Median length1
Mean length1.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
76.2%
<NA> 10
 
23.8%

Length

2023-12-11T03:59:56.109664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:56.620683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
76.2%
na 10
 
23.8%

배관설치장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

길이변경내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

취급가스용량
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

가스용품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

설비명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

물품규격
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

면제범위
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)저장설비위치용기저장실면적차고지면적사무실면적배관설치장소길이변경내용취급가스용량가스용품종류명설비명물품규격면제범위
01액화석유가스용품제조업체09_28_09_P34200002010342009004100001-0000120100303<NA>1영업/정상4휴지사업재개<NA>201201262012123120130719<NA><NA><NA>대구광역시 동구 신평동 ***번지 *호대구광역시 동구 신평로 *** (신평동)<NA>(주)성운이엔지20130719172859I2018-08-31 23:59:59.0<NA>351896.844391265702.138449<NA>000<NA><NA><NA><NA><NA><NA><NA>
12액화석유가스용품제조업체09_28_09_P34200002016342013504100002-0000120160811<NA>1영업/정상5개시<NA>2018111320191112<NA><NA><NA><NA><NA>대구광역시 동구 안심로**길 ** (동호동)<NA>(주)케이·피·씨20201102160215U2020-11-04 02:40:00.0<NA>355055.374436264408.146423<NA>000<NA><NA><NA><NA><NA><NA><NA>
23액화석유가스용품제조업체09_28_09_P34200001984342000004100001-0000119840229<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 각산동 ***번지 *호대구광역시 동구 안심로**길 * (각산동)<NA>(주)야성20170821093749I2018-08-31 23:59:59.0<NA>355270.285965264418.560188<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34액화석유가스용품제조업체09_28_09_P34200001988342000004100002-0000119881228<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 안심로**길 * (각산동)<NA>(주)케이·피·씨20160811173025I2018-08-31 23:59:59.0<NA>355172.287752264358.544592<NA>000<NA><NA><NA><NA><NA><NA><NA>
45액화석유가스용품제조업체09_28_09_P34200001994342000004100039-0000119941212<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 안심로**길 ** (동호동)<NA>대영산업20170202102329I2018-08-31 23:59:59.0<NA>354890.333196264478.817551<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56액화석유가스용품제조업체09_28_09_P34200002001342000004100054-0000120010723<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신평로 ** (신평동)<NA>(주)극동기전20170202105058I2018-08-31 23:59:59.0<NA>351544.53618265604.874007<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67액화석유가스용품제조업체09_28_09_P34200002003342000004100027-0000120030424<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 안심로**길 ** (동호동)<NA>대영ENG20170202105724I2018-08-31 23:59:59.0<NA>354890.333196264478.817551<NA>000<NA><NA><NA><NA><NA><NA><NA>
78액화석유가스용품제조업체09_28_09_P34300001991343000004100029-0000119910404<NA>1영업/정상1신규<NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 이현동 **번지 ***호대구광역시 서구 와룡로**길 ** (이현동)<NA>덕성기업20170102102048I2018-08-31 23:59:59.0<NA>338361.306818264770.761207<NA>000<NA><NA><NA><NA><NA><NA><NA>
89액화석유가스용품제조업체09_28_09_P34300002008343000004100061-0000120081117<NA>3폐업3폐지20101224<NA><NA><NA><NA><NA><NA>대구광역시 서구 중리동 ****번지 **호대구광역시 서구 와룡로 *** (중리동)<NA>코스모가스텍(주)20101224110552I2018-08-31 23:59:59.0<NA>338765.525429264097.001169<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910액화석유가스용품제조업체09_28_09_P34300001991343000004100030-0000119910405<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 비산동 ****번지 **호대구광역시 서구 팔달로*길 ** (비산동)<NA>화성밸브(주)20200508113428U2020-05-10 02:40:00.0<NA>339820.111985266838.935634<NA>000<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)저장설비위치용기저장실면적차고지면적사무실면적배관설치장소길이변경내용취급가스용량가스용품종류명설비명물품규격면제범위
3233액화석유가스용품제조업체09_28_09_P34700002013347012404100001-0000120130409<NA>3폐업3폐지20140421<NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성*동 ****번지 *호대구광역시 달서구 성서공단남로 *** (월암동)<NA>(주)삼성정공20140421174251I2018-08-31 23:59:59.0<NA>336826.384354260004.695223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3334액화석유가스용품제조업체09_28_09_P34700002015347012404100001-0000120150306<NA>1영업/정상5개시<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성서서로**길 ** (신당동)<NA>(주)지텍산업20150715152959I2018-08-31 23:59:59.0<NA>335101.180219262194.53234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3435액화석유가스용품제조업체09_28_09_P34700002017347012404100002-0000120170925<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 장동 ***번지 **호대구광역시 달서구 성서동로 *** (장동)42701(주)금강밸브20190308100713U2019-03-10 02:40:00.0<NA>336848.363465260777.789003<NA>000<NA><NA><NA><NA><NA><NA><NA>
3536액화석유가스용품제조업체09_28_09_P34700001991347000004100002-0000119910812<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 장동 ***번지 **호대구광역시 달서구 성서공단로 *** (장동)<NA>삼우공업(주)20131205154440I2018-08-31 23:59:59.0<NA>336844.00585260684.823839<NA>000<NA><NA><NA><NA><NA><NA><NA>
3637액화석유가스용품제조업체09_28_09_P34700002003347000004100003-0000120030614<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 ****번지 **호대구광역시 달서구 달서대로 *** (신당동)<NA>(주)모토닉20131205154525I2018-08-31 23:59:59.0<NA>334836.27161261648.142899<NA>000<NA><NA><NA><NA><NA><NA><NA>
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