Overview

Dataset statistics

Number of variables45
Number of observations73
Missing cells995
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.5 KiB
Average record size in memory385.8 B

Variable types

Numeric8
Categorical16
DateTime6
Unsupported10
Text5

Dataset

Description24년03월_6270000_대구광역시_11_48_01_P_승강기유지관리업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106553&dataSetDetailId=DDI_0000106583&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
업종구분명 has constant value ""Constant
자산 is highly imbalanced (89.6%)Imbalance
기능직직원수 is highly imbalanced (89.6%)Imbalance
회사구분명 is highly imbalanced (53.0%)Imbalance
인허가취소일자 has 73 (100.0%) missing valuesMissing
폐업일자 has 56 (76.7%) missing valuesMissing
휴업시작일자 has 72 (98.6%) missing valuesMissing
휴업종료일자 has 72 (98.6%) missing valuesMissing
재개업일자 has 73 (100.0%) missing valuesMissing
소재지전화 has 2 (2.7%) missing valuesMissing
소재지면적 has 73 (100.0%) missing valuesMissing
소재지우편번호 has 16 (21.9%) missing valuesMissing
도로명전체주소 has 16 (21.9%) missing valuesMissing
도로명우편번호 has 16 (21.9%) missing valuesMissing
업태구분명 has 73 (100.0%) missing valuesMissing
설계책임기술인력수 has 73 (100.0%) missing valuesMissing
제조책임기술인력수 has 73 (100.0%) missing valuesMissing
임원수 has 73 (100.0%) missing valuesMissing
총직원수 has 10 (13.7%) missing valuesMissing
기술직직원수 has 73 (100.0%) missing valuesMissing
사무직직원수 has 73 (100.0%) missing valuesMissing
기타직원수 has 73 (100.0%) missing valuesMissing
사업자등록번호 has 5 (6.8%) 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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설계책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제조책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기술직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사무직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기타직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유지관리책임인력수 has 1 (1.4%) zerosZeros
총직원수 has 2 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-29 12:15:03.184148
Analysis finished2024-04-29 12:15:03.915089
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:03.987663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2024-04-29T21:15:04.120327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
승강기유지관리업체
73 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승강기유지관리업체 73
100.0%

Length

2024-04-29T21:15:04.247000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:04.343002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승강기유지관리업체 73
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
11_48_01_P
73 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_48_01_P
2nd row11_48_01_P
3rd row11_48_01_P
4th row11_48_01_P
5th row11_48_01_P

Common Values

ValueCountFrequency (%)
11_48_01_P 73
100.0%

Length

2024-04-29T21:15:04.437446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:04.528226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_48_01_p 73
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
6270000
73 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 73
100.0%

Length

2024-04-29T21:15:04.619003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:04.713612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 73
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.27 × 1011
Minimum6.27 × 1011
Maximum6.27 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:04.828360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.27 × 1011
5-th percentile6.27 × 1011
Q16.27 × 1011
median6.27 × 1011
Q36.27 × 1011
95-th percentile6.27 × 1011
Maximum6.27 × 1011
Range102
Interquartile range (IQR)44

Descriptive statistics

Standard deviation28.621101
Coefficient of variation (CV)4.5647689 × 10-11
Kurtosis-0.82634595
Mean6.27 × 1011
Median Absolute Deviation (MAD)21
Skewness-0.49925546
Sum4.5771 × 1013
Variance819.16743
MonotonicityNot monotonic
2024-04-29T21:15:04.975367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627000000009 1
 
1.4%
627000000072 1
 
1.4%
627000000056 1
 
1.4%
627000000060 1
 
1.4%
627000000057 1
 
1.4%
627000000066 1
 
1.4%
627000000010 1
 
1.4%
627000000059 1
 
1.4%
627000000048 1
 
1.4%
627000000047 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
627000000002 1
1.4%
627000000005 1
1.4%
627000000009 1
1.4%
627000000010 1
1.4%
627000000012 1
1.4%
627000000013 1
1.4%
627000000016 1
1.4%
627000000017 1
1.4%
627000000020 1
1.4%
627000000021 1
1.4%
ValueCountFrequency (%)
627000000104 1
1.4%
627000000103 1
1.4%
627000000102 1
1.4%
627000000101 1
1.4%
627000000100 1
1.4%
627000000099 1
1.4%
627000000098 1
1.4%
627000000097 1
1.4%
627000000096 1
1.4%
627000000095 1
1.4%

인허가일자
Date

Distinct71
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum1993-02-04 00:00:00
Maximum2023-11-20 00:00:00
2024-04-29T21:15:05.115443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:15:05.246754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

영업상태구분코드
Categorical

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
1
44 
3
25 
2
 
2
4
 
2

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 44
60.3%
3 25
34.2%
2 2
 
2.7%
4 2
 
2.7%

Length

2024-04-29T21:15:05.366346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:05.461124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
60.3%
3 25
34.2%
2 2
 
2.7%
4 2
 
2.7%

영업상태명
Categorical

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
영업/정상
44 
폐업
25 
휴업
 
2
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.1369863
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 44
60.3%
폐업 25
34.2%
휴업 2
 
2.7%
취소/말소/만료/정지/중지 2
 
2.7%

Length

2024-04-29T21:15:05.570103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:05.854998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 44
60.3%
폐업 25
34.2%
휴업 2
 
2.7%
취소/말소/만료/정지/중지 2
 
2.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
1
44 
2
25 
3
 
2
5
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
60.3%
2 25
34.2%
3 2
 
2.7%
5 1
 
1.4%
7 1
 
1.4%

Length

2024-04-29T21:15:05.955163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:06.052449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
60.3%
2 25
34.2%
3 2
 
2.7%
5 1
 
1.4%
7 1
 
1.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
인허가
44 
폐지
25 
휴지
 
2
등록취소
 
1
타시도 소재지변경에 의한 말소
 
1

Length

Max length16
Median length3
Mean length2.8219178
Min length2

Unique

Unique2 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 44
60.3%
폐지 25
34.2%
휴지 2
 
2.7%
등록취소 1
 
1.4%
타시도 소재지변경에 의한 말소 1
 
1.4%

Length

2024-04-29T21:15:06.178880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:06.288815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 44
57.9%
폐지 25
32.9%
휴지 2
 
2.6%
등록취소 1
 
1.3%
타시도 1
 
1.3%
소재지변경에 1
 
1.3%
의한 1
 
1.3%
말소 1
 
1.3%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing56
Missing (%)76.7%
Memory size716.0 B
Minimum2013-07-03 00:00:00
Maximum2022-08-29 00:00:00
2024-04-29T21:15:06.386175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:15:06.490864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing72
Missing (%)98.6%
Memory size716.0 B
Minimum2014-08-26 00:00:00
Maximum2014-08-26 00:00:00
2024-04-29T21:15:06.580467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:15:06.663079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing72
Missing (%)98.6%
Memory size716.0 B
Minimum2015-08-26 00:00:00
Maximum2015-08-26 00:00:00
2024-04-29T21:15:06.740306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:15:06.822610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)87.3%
Missing2
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean6.2542568 × 108
Minimum3.2820256 × 108
Maximum7.0873035 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:06.927242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2820256 × 108
5-th percentile5.3255551 × 108
Q15.3383892 × 108
median5.358318 × 108
Q35.3743569 × 108
95-th percentile5.3972942 × 108
Maximum7.0873035 × 109
Range6.7591009 × 109
Interquartile range (IQR)3596766

Descriptive statistics

Standard deviation7.7823634 × 108
Coefficient of variation (CV)1.2443306
Kurtosis70.84913
Mean6.2542568 × 108
Median Absolute Deviation (MAD)1612553
Skewness8.4126179
Sum4.4405223 × 1010
Variance6.056518 × 1017
MonotonicityNot monotonic
2024-04-29T21:15:07.067332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
532555511 3
 
4.1%
533215674 2
 
2.7%
534273359 2
 
2.7%
533555960 2
 
2.7%
535564592 2
 
2.7%
532547332 2
 
2.7%
537678064 2
 
2.7%
537444349 2
 
2.7%
539415151 1
 
1.4%
536536363 1
 
1.4%
Other values (52) 52
71.2%
(Missing) 2
 
2.7%
ValueCountFrequency (%)
328202561 1
 
1.4%
532547332 2
2.7%
532555511 3
4.1%
532873103 1
 
1.4%
532915008 1
 
1.4%
532918297 1
 
1.4%
533215674 2
2.7%
533225061 1
 
1.4%
533242844 1
 
1.4%
533555960 2
2.7%
ValueCountFrequency (%)
7087303470 1
1.4%
553752633 1
1.4%
544720069 1
1.4%
539861234 1
1.4%
539597602 1
1.4%
539573350 1
1.4%
539573304 1
1.4%
539415151 1
1.4%
537922479 1
1.4%
537678064 2
2.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

소재지우편번호
Text

MISSING 

Distinct53
Distinct (%)93.0%
Missing16
Missing (%)21.9%
Memory size716.0 B
2024-04-29T21:15:07.312472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.5438596
Min length5

Characters and Unicode

Total characters373
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

Unique49 ?
Unique (%)86.0%

Sample

1st row41814
2nd row41072
3rd row42704
4th row41250
5th row41482
ValueCountFrequency (%)
704-932 2
 
3.5%
702-811 2
 
3.5%
706-820 2
 
3.5%
704-940 2
 
3.5%
703-805 1
 
1.8%
703-721 1
 
1.8%
704-150 1
 
1.8%
705-810 1
 
1.8%
702-812 1
 
1.8%
702-835 1
 
1.8%
Other values (43) 43
75.4%
2024-04-29T21:15:07.671472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
18.5%
7 54
14.5%
- 44
11.8%
1 43
11.5%
2 40
10.7%
4 39
10.5%
8 35
9.4%
3 15
 
4.0%
9 12
 
3.2%
5 12
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 329
88.2%
Dash Punctuation 44
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
21.0%
7 54
16.4%
1 43
13.1%
2 40
12.2%
4 39
11.9%
8 35
10.6%
3 15
 
4.6%
9 12
 
3.6%
5 12
 
3.6%
6 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 373
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
18.5%
7 54
14.5%
- 44
11.8%
1 43
11.5%
2 40
10.7%
4 39
10.5%
8 35
9.4%
3 15
 
4.0%
9 12
 
3.2%
5 12
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 373
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
18.5%
7 54
14.5%
- 44
11.8%
1 43
11.5%
2 40
10.7%
4 39
10.5%
8 35
9.4%
3 15
 
4.0%
9 12
 
3.2%
5 12
 
3.2%

소재지전체주소
Text

Distinct72
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-29T21:15:08.011781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length25.917808
Min length17

Characters and Unicode

Total characters1892
Distinct characters142
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)97.3%

Sample

1st row대구광역시 달서구 송현동 1928-5
2nd row대구광역시 북구 관음동 1230-5
3rd row대구광역시 서구 평리동 1676번지 평리롯데캐슬상가 201동 401호
4th row대구광역시 동구 신천동 294-2
5th row대구광역시 동구 대림동 888-2 대평휴플러스타워 113호
ValueCountFrequency (%)
대구광역시 71
 
18.5%
달서구 20
 
5.2%
북구 15
 
3.9%
동구 13
 
3.4%
신천동 8
 
2.1%
서구 8
 
2.1%
1호 7
 
1.8%
수성구 6
 
1.6%
2호 6
 
1.6%
중구 4
 
1.0%
Other values (191) 225
58.7%
2024-04-29T21:15:08.476748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
20.8%
구 147
 
7.8%
동 93
 
4.9%
1 86
 
4.5%
대 81
 
4.3%
시 73
 
3.9%
광 72
 
3.8%
역 71
 
3.8%
2 64
 
3.4%
지 57
 
3.0%
Other values (132) 755
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1072
56.7%
Decimal Number 399
 
21.1%
Space Separator 393
 
20.8%
Dash Punctuation 19
 
1.0%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.1%
Letter Number 1
 
0.1%
Lowercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 147
13.7%
동 93
 
8.7%
대 81
 
7.6%
시 73
 
6.8%
광 72
 
6.7%
역 71
 
6.6%
지 57
 
5.3%
호 56
 
5.2%
번 55
 
5.1%
서 29
 
2.7%
Other values (111) 338
31.5%
Decimal Number
ValueCountFrequency (%)
1 86
21.6%
2 64
16.0%
0 42
10.5%
5 39
9.8%
7 37
9.3%
3 35
8.8%
6 27
 
6.8%
4 27
 
6.8%
9 24
 
6.0%
8 18
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
B 1
33.3%
C 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Letter Number
ValueCountFrequency (%)
Ⅵ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1072
56.7%
Common 815
43.1%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 147
13.7%
동 93
 
8.7%
대 81
 
7.6%
시 73
 
6.8%
광 72
 
6.7%
역 71
 
6.6%
지 57
 
5.3%
호 56
 
5.2%
번 55
 
5.1%
서 29
 
2.7%
Other values (111) 338
31.5%
Common
ValueCountFrequency (%)
393
48.2%
1 86
 
10.6%
2 64
 
7.9%
0 42
 
5.2%
5 39
 
4.8%
7 37
 
4.5%
3 35
 
4.3%
6 27
 
3.3%
4 27
 
3.3%
9 24
 
2.9%
Other values (6) 41
 
5.0%
Latin
ValueCountFrequency (%)
Ⅵ 1
20.0%
e 1
20.0%
T 1
20.0%
B 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
56.7%
ASCII 819
43.3%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
48.0%
1 86
 
10.5%
2 64
 
7.8%
0 42
 
5.1%
5 39
 
4.8%
7 37
 
4.5%
3 35
 
4.3%
6 27
 
3.3%
4 27
 
3.3%
9 24
 
2.9%
Other values (10) 45
 
5.5%
Hangul
ValueCountFrequency (%)
구 147
13.7%
동 93
 
8.7%
대 81
 
7.6%
시 73
 
6.8%
광 72
 
6.7%
역 71
 
6.6%
지 57
 
5.3%
호 56
 
5.2%
번 55
 
5.1%
서 29
 
2.7%
Other values (111) 338
31.5%
Number Forms
ValueCountFrequency (%)
Ⅵ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct56
Distinct (%)98.2%
Missing16
Missing (%)21.9%
Memory size716.0 B
2024-04-29T21:15:08.772566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length29.701754
Min length18

Characters and Unicode

Total characters1693
Distinct characters158
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)96.5%

Sample

1st row대구광역시 달서구 송현동1길 38 (송현동)
2nd row대구광역시 북구 관음로 133, 308호(관음동)
3rd row대구광역시 서구 국채보상로 316, 201동 401호 (평리동, 평리롯데캐슬)
4th row대구광역시 동구 동대구로 460, 5층(신천동)
5th row대구광역시 동구 메디밸리로 5-21, 대평휴플러스타워 1층 113호(대림동)
ValueCountFrequency (%)
대구광역시 55
 
17.0%
달서구 17
 
5.2%
북구 11
 
3.4%
동구 11
 
3.4%
서구 6
 
1.9%
동대구로 6
 
1.9%
와룡로 3
 
0.9%
5층 3
 
0.9%
중구 3
 
0.9%
죽전동 3
 
0.9%
Other values (174) 206
63.6%
2024-04-29T21:15:09.191142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
267
 
15.8%
구 122
 
7.2%
동 92
 
5.4%
대 74
 
4.4%
1 65
 
3.8%
시 58
 
3.4%
광 56
 
3.3%
역 56
 
3.3%
로 56
 
3.3%
( 55
 
3.2%
Other values (148) 792
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 980
57.9%
Decimal Number 274
 
16.2%
Space Separator 267
 
15.8%
Open Punctuation 55
 
3.2%
Close Punctuation 55
 
3.2%
Other Punctuation 46
 
2.7%
Dash Punctuation 12
 
0.7%
Uppercase Letter 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 122
 
12.4%
동 92
 
9.4%
대 74
 
7.6%
시 58
 
5.9%
광 56
 
5.7%
역 56
 
5.7%
로 56
 
5.7%
서 31
 
3.2%
달 22
 
2.2%
길 20
 
2.0%
Other values (129) 393
40.1%
Decimal Number
ValueCountFrequency (%)
1 65
23.7%
2 39
14.2%
3 35
12.8%
0 34
12.4%
5 27
9.9%
6 25
 
9.1%
4 24
 
8.8%
7 10
 
3.6%
9 8
 
2.9%
8 7
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
267
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 980
57.9%
Common 709
41.9%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 122
 
12.4%
동 92
 
9.4%
대 74
 
7.6%
시 58
 
5.9%
광 56
 
5.7%
역 56
 
5.7%
로 56
 
5.7%
서 31
 
3.2%
달 22
 
2.2%
길 20
 
2.0%
Other values (129) 393
40.1%
Common
ValueCountFrequency (%)
267
37.7%
1 65
 
9.2%
( 55
 
7.8%
) 55
 
7.8%
, 46
 
6.5%
2 39
 
5.5%
3 35
 
4.9%
0 34
 
4.8%
5 27
 
3.8%
6 25
 
3.5%
Other values (5) 61
 
8.6%
Latin
ValueCountFrequency (%)
e 1
25.0%
C 1
25.0%
B 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 980
57.9%
ASCII 713
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
267
37.4%
1 65
 
9.1%
( 55
 
7.7%
) 55
 
7.7%
, 46
 
6.5%
2 39
 
5.5%
3 35
 
4.9%
0 34
 
4.8%
5 27
 
3.8%
6 25
 
3.5%
Other values (9) 65
 
9.1%
Hangul
ValueCountFrequency (%)
구 122
 
12.4%
동 92
 
9.4%
대 74
 
7.6%
시 58
 
5.9%
광 56
 
5.7%
역 56
 
5.7%
로 56
 
5.7%
서 31
 
3.2%
달 22
 
2.2%
길 20
 
2.0%
Other values (129) 393
40.1%

도로명우편번호
Text

MISSING 

Distinct52
Distinct (%)91.2%
Missing16
Missing (%)21.9%
Memory size716.0 B
2024-04-29T21:15:09.399930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.9824561
Min length5

Characters and Unicode

Total characters341
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

Unique48 ?
Unique (%)84.2%

Sample

1st row42741
2nd row41448
3rd row41814
4th row41250
5th row41072
ValueCountFrequency (%)
41814 3
 
5.3%
41502 2
 
3.5%
41250 2
 
3.5%
704-932 2
 
3.5%
670-881 1
 
1.8%
41401 1
 
1.8%
42741 1
 
1.8%
41940 1
 
1.8%
42251 1
 
1.8%
42776 1
 
1.8%
Other values (42) 42
73.7%
2024-04-29T21:15:09.769164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 58
17.0%
1 51
15.0%
0 48
14.1%
2 41
12.0%
7 41
12.0%
8 29
8.5%
- 28
8.2%
5 12
 
3.5%
9 12
 
3.5%
3 11
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
91.8%
Dash Punctuation 28
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 58
18.5%
1 51
16.3%
0 48
15.3%
2 41
13.1%
7 41
13.1%
8 29
9.3%
5 12
 
3.8%
9 12
 
3.8%
3 11
 
3.5%
6 10
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 58
17.0%
1 51
15.0%
0 48
14.1%
2 41
12.0%
7 41
12.0%
8 29
8.5%
- 28
8.2%
5 12
 
3.5%
9 12
 
3.5%
3 11
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 58
17.0%
1 51
15.0%
0 48
14.1%
2 41
12.0%
7 41
12.0%
8 29
8.5%
- 28
8.2%
5 12
 
3.5%
9 12
 
3.5%
3 11
 
3.2%

사업장명
Text

Distinct70
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-29T21:15:10.000221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length9.6438356
Min length4

Characters and Unicode

Total characters704
Distinct characters102
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

Unique67 ?
Unique (%)91.8%

Sample

1st row(주)대동에레베이터
2nd row(주)남경엘리베이터
3rd row(주)부광엘리베이터
4th row(주)엠티케이
5th row(주)목성엘리베이터
ValueCountFrequency (%)
주식회사 3
 
3.6%
주)남경엘리베이터 2
 
2.4%
주)엠티케이 2
 
2.4%
주)삼화엘리베이터 2
 
2.4%
대구영업소 2
 
2.4%
원일산기 2
 
2.4%
주)삼성엘레파킹 1
 
1.2%
주)동양엘리베이터 1
 
1.2%
주)엠에스이 1
 
1.2%
주)삼성이엔지산업 1
 
1.2%
Other values (66) 66
79.5%
2024-04-29T21:15:10.371752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 66
 
9.4%
( 63
 
8.9%
) 63
 
8.9%
이 59
 
8.4%
엘 45
 
6.4%
리 45
 
6.4%
베 45
 
6.4%
터 45
 
6.4%
대 12
 
1.7%
지 11
 
1.6%
Other values (92) 250
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
80.7%
Open Punctuation 63
 
8.9%
Close Punctuation 63
 
8.9%
Space Separator 10
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 66
 
11.6%
이 59
 
10.4%
엘 45
 
7.9%
리 45
 
7.9%
베 45
 
7.9%
터 45
 
7.9%
대 12
 
2.1%
지 11
 
1.9%
성 10
 
1.8%
기 9
 
1.6%
Other values (89) 221
38.9%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
80.7%
Common 136
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 66
 
11.6%
이 59
 
10.4%
엘 45
 
7.9%
리 45
 
7.9%
베 45
 
7.9%
터 45
 
7.9%
대 12
 
2.1%
지 11
 
1.9%
성 10
 
1.8%
기 9
 
1.6%
Other values (89) 221
38.9%
Common
ValueCountFrequency (%)
( 63
46.3%
) 63
46.3%
10
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
80.7%
ASCII 136
 
19.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 66
 
11.6%
이 59
 
10.4%
엘 45
 
7.9%
리 45
 
7.9%
베 45
 
7.9%
터 45
 
7.9%
대 12
 
2.1%
지 11
 
1.9%
성 10
 
1.8%
기 9
 
1.6%
Other values (89) 221
38.9%
ASCII
ValueCountFrequency (%)
( 63
46.3%
) 63
46.3%
10
 
7.4%

최종수정시점
Date

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2006-08-29 16:29:58
Maximum2024-03-19 12:58:51
2024-04-29T21:15:10.509382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:15:10.638453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
U
50 
I
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 50
68.5%
I 23
31.5%

Length

2024-04-29T21:15:10.774234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:10.881343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 50
68.5%
i 23
31.5%

데이터갱신일자
Date

Distinct32
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2018-08-31 23:59:59
Maximum2024-03-21 02:40:00
2024-04-29T21:15:10.979828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:15:11.092920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

좌표정보(X)
Real number (ℝ)

Distinct67
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341151.59
Minimum283938.76
Maximum357832.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:11.212397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum283938.76
5-th percentile334648.76
Q1338755.62
median341340.52
Q3345752.03
95-th percentile346926.82
Maximum357832.24
Range73893.481
Interquartile range (IQR)6996.4115

Descriptive statistics

Standard deviation8284.5409
Coefficient of variation (CV)0.024284046
Kurtosis31.688989
Mean341151.59
Median Absolute Deviation (MAD)3345.7346
Skewness-4.5583099
Sum24904066
Variance68633618
MonotonicityNot monotonic
2024-04-29T21:15:11.371721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344080.790568645 2
 
2.7%
341340.524728059 2
 
2.7%
346792.028143018 2
 
2.7%
339060.543686549 2
 
2.7%
346914.592107363 2
 
2.7%
341980.591312384 2
 
2.7%
342053.042102918 1
 
1.4%
338969.078326923 1
 
1.4%
344218.62147752 1
 
1.4%
346889.299780052 1
 
1.4%
Other values (57) 57
78.1%
ValueCountFrequency (%)
283938.760839603 1
1.4%
329542.633030083 1
1.4%
332396.659904898 1
1.4%
334440.190451222 1
1.4%
334787.799561533 1
1.4%
334935.961982562 1
1.4%
335451.229842323 1
1.4%
335665.411613335 1
1.4%
335914.193392142 1
1.4%
335952.536691469 1
1.4%
ValueCountFrequency (%)
357832.242269486 1
1.4%
352992.827339157 1
1.4%
348481.061020408 1
1.4%
346945.170231347 1
1.4%
346914.592107363 2
2.7%
346889.299780052 1
1.4%
346854.596149695 1
1.4%
346792.028143018 2
2.7%
346717.496771053 1
1.4%
346673.388735806 1
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct67
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264377.55
Minimum239566.7
Maximum294456.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:11.522625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239566.7
5-th percentile259839.85
Q1261810.78
median264420.29
Q3265816.98
95-th percentile271761.2
Maximum294456.11
Range54889.418
Interquartile range (IQR)4006.196

Descriptive statistics

Standard deviation5641.6057
Coefficient of variation (CV)0.021339201
Kurtosis15.142239
Mean264377.55
Median Absolute Deviation (MAD)2105.3846
Skewness1.0766798
Sum19299561
Variance31827715
MonotonicityNot monotonic
2024-04-29T21:15:11.671122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268013.845944206 2
 
2.7%
264622.51591133 2
 
2.7%
264701.095793695 2
 
2.7%
272436.922124699 2
 
2.7%
263414.138824691 2
 
2.7%
266922.013600972 2
 
2.7%
266601.164356394 1
 
1.4%
260950.213214215 1
 
1.4%
270440.280027803 1
 
1.4%
265825.280194935 1
 
1.4%
Other values (57) 57
78.1%
ValueCountFrequency (%)
239566.696212954 1
1.4%
257593.02194168 1
1.4%
258039.194106827 1
1.4%
259750.869809978 1
1.4%
259899.163568795 1
1.4%
260211.959085213 1
1.4%
260297.329047491 1
1.4%
260689.440160162 1
1.4%
260749.487571529 1
1.4%
260950.213214215 1
1.4%
ValueCountFrequency (%)
294456.114276133 1
1.4%
273493.80091009 1
1.4%
272436.922124699 2
2.7%
271310.718187698 1
1.4%
270763.873508729 1
1.4%
270440.280027803 1
1.4%
269165.840390453 1
1.4%
268047.712991964 1
1.4%
268013.845944206 2
2.7%
267601.01997936 1
1.4%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
유지관리
73 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유지관리 73
100.0%

Length

2024-04-29T21:15:11.793331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:11.888645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유지관리 73
100.0%

관리업구분명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
중저속승강기
56 
없음
17 

Length

Max length6
Median length6
Mean length5.0684932
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중저속승강기 56
76.7%
없음 17
 
23.3%

Length

2024-04-29T21:15:11.994867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:12.121777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중저속승강기 56
76.7%
없음 17
 
23.3%

자본금
Categorical

Distinct32
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
100000000
21 
300000000
8 
105000000
6 
305000000
 
3
310000000
 
3
Other values (27)
32 

Length

Max length12
Median length9
Mean length9.1917808
Min length9

Unique

Unique22 ?
Unique (%)30.1%

Sample

1st row305000000
2nd row105000000
3rd row100000000
4th row100000000
5th row100000000

Common Values

ValueCountFrequency (%)
100000000 21
28.8%
300000000 8
 
11.0%
105000000 6
 
8.2%
305000000 3
 
4.1%
310000000 3
 
4.1%
500000000 2
 
2.7%
320000000 2
 
2.7%
200000000 2
 
2.7%
160000000 2
 
2.7%
101000000 2
 
2.7%
Other values (22) 22
30.1%

Length

2024-04-29T21:15:12.235905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
100000000 21
28.8%
300000000 8
 
11.0%
105000000 6
 
8.2%
305000000 3
 
4.1%
310000000 3
 
4.1%
500000000 2
 
2.7%
320000000 2
 
2.7%
200000000 2
 
2.7%
160000000 2
 
2.7%
101000000 2
 
2.7%
Other values (22) 22
30.1%

자산
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
72 
121000000
 
1

Length

Max length9
Median length4
Mean length4.0684932
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
98.6%
121000000 1
 
1.4%

Length

2024-04-29T21:15:12.356982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:12.450693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
98.6%
121000000 1
 
1.4%

보수범위
Categorical

Distinct25
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
630
11 
100
9 
700
6 
500
5 
900
5 
Other values (20)
37 

Length

Max length5
Median length3
Mean length3.4383562
Min length3

Unique

Unique9 ?
Unique (%)12.3%

Sample

1st row2,610
2nd row720
3rd row1,000
4th row1,260
5th row630

Common Values

ValueCountFrequency (%)
630 11
15.1%
100 9
12.3%
700 6
 
8.2%
500 5
 
6.8%
900 5
 
6.8%
720 5
 
6.8%
200 3
 
4.1%
540 3
 
4.1%
450 3
 
4.1%
1,350 2
 
2.7%
Other values (15) 21
28.8%

Length

2024-04-29T21:15:12.558447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
630 11
15.1%
100 9
12.3%
700 6
 
8.2%
500 5
 
6.8%
900 5
 
6.8%
720 5
 
6.8%
200 3
 
4.1%
540 3
 
4.1%
450 3
 
4.1%
400 2
 
2.7%
Other values (15) 21
28.8%

유지관리책임인력수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2054795
Minimum0
Maximum12
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:12.911070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile7.4
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3031313
Coefficient of variation (CV)1.0442769
Kurtosis6.8907836
Mean2.2054795
Median Absolute Deviation (MAD)0
Skewness2.5890322
Sum161
Variance5.304414
MonotonicityNot monotonic
2024-04-29T21:15:13.016254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 42
57.5%
2 13
 
17.8%
4 5
 
6.8%
3 5
 
6.8%
10 2
 
2.7%
12 1
 
1.4%
0 1
 
1.4%
8 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
ValueCountFrequency (%)
0 1
 
1.4%
1 42
57.5%
2 13
 
17.8%
3 5
 
6.8%
4 5
 
6.8%
5 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
8 1
 
1.4%
10 2
 
2.7%
ValueCountFrequency (%)
12 1
 
1.4%
10 2
 
2.7%
8 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
5 1
 
1.4%
4 5
 
6.8%
3 5
 
6.8%
2 13
 
17.8%
1 42
57.5%

실무기술인력수
Categorical

Distinct6
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
0
37 
3
15 
<NA>
14 
1
 
3
2
 
3

Length

Max length4
Median length1
Mean length1.5753425
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
50.7%
3 15
20.5%
<NA> 14
 
19.2%
1 3
 
4.1%
2 3
 
4.1%
4 1
 
1.4%

Length

2024-04-29T21:15:13.146670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:13.263142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
50.7%
3 15
20.5%
na 14
 
19.2%
1 3
 
4.1%
2 3
 
4.1%
4 1
 
1.4%

설계책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

제조책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

임원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

총직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)31.7%
Missing10
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean14.396825
Minimum0
Maximum109
Zeros2
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:13.383093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median8
Q312
95-th percentile34.4
Maximum109
Range109
Interquartile range (IQR)5

Descriptive statistics

Standard deviation21.136682
Coefficient of variation (CV)1.4681488
Kurtosis14.272106
Mean14.396825
Median Absolute Deviation (MAD)2
Skewness3.8107579
Sum907
Variance446.75934
MonotonicityNot monotonic
2024-04-29T21:15:13.484463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
7 17
23.3%
8 11
15.1%
10 6
 
8.2%
6 5
 
6.8%
5 4
 
5.5%
15 2
 
2.7%
0 2
 
2.7%
14 2
 
2.7%
20 2
 
2.7%
19 2
 
2.7%
Other values (10) 10
13.7%
(Missing) 10
13.7%
ValueCountFrequency (%)
0 2
 
2.7%
5 4
 
5.5%
6 5
 
6.8%
7 17
23.3%
8 11
15.1%
9 1
 
1.4%
10 6
 
8.2%
11 1
 
1.4%
13 1
 
1.4%
14 2
 
2.7%
ValueCountFrequency (%)
109 1
1.4%
102 1
1.4%
101 1
1.4%
35 1
1.4%
29 1
1.4%
27 1
1.4%
20 2
2.7%
19 2
2.7%
18 1
1.4%
15 2
2.7%

기술직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

기능직직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
72 
11
 
1

Length

Max length4
Median length4
Mean length3.9726027
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
98.6%
11 1
 
1.4%

Length

2024-04-29T21:15:13.606727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:13.722542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
98.6%
11 1
 
1.4%

사무직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

기타직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

회사구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
본점
60 
<NA>
12 
지점
 
1

Length

Max length4
Median length2
Mean length2.3287671
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
본점 60
82.2%
<NA> 12
 
16.4%
지점 1
 
1.4%

Length

2024-04-29T21:15:13.838825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:15:13.944209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본점 60
82.2%
na 12
 
16.4%
지점 1
 
1.4%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)97.1%
Missing5
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean5.1220985 × 109
Minimum1.2586329 × 109
Maximum7.8381025 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-29T21:15:14.053983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2586329 × 109
5-th percentile4.3813064 × 109
Q15.0285208 × 109
median5.0381684 × 109
Q35.1481287 × 109
95-th percentile6.6307311 × 109
Maximum7.8381025 × 109
Range6.5794696 × 109
Interquartile range (IQR)1.1960787 × 108

Descriptive statistics

Standard deviation8.3147502 × 108
Coefficient of variation (CV)0.16233093
Kurtosis10.179469
Mean5.1220985 × 109
Median Absolute Deviation (MAD)10015218
Skewness-0.10520642
Sum3.483027 × 1011
Variance6.9135071 × 1017
MonotonicityNot monotonic
2024-04-29T21:15:14.194759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5048159206 2
 
2.7%
5148175125 2
 
2.7%
5028181788 1
 
1.4%
5048145022 1
 
1.4%
5038169297 1
 
1.4%
7648500794 1
 
1.4%
5148185472 1
 
1.4%
7078801108 1
 
1.4%
5048168535 1
 
1.4%
5038143981 1
 
1.4%
Other values (56) 56
76.7%
(Missing) 5
 
6.8%
ValueCountFrequency (%)
1258632917 1
1.4%
3538802268 1
1.4%
3688601869 1
1.4%
4108148156 1
1.4%
4888600219 1
1.4%
4958701057 1
1.4%
5018111085 1
1.4%
5018119433 1
1.4%
5018515003 1
1.4%
5020566920 1
1.4%
ValueCountFrequency (%)
7838102500 1
1.4%
7718701572 1
1.4%
7648500794 1
1.4%
7078801108 1
1.4%
5798601149 1
1.4%
5598701967 1
1.4%
5558600218 1
1.4%
5548501333 1
1.4%
5148194025 1
1.4%
5148185472 1
1.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명관리업구분명자본금자산보수범위유지관리책임인력수실무기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타직원수회사구분명사업자등록번호
01승강기유지관리업체11_48_01_P62700006270000000091993-02-20<NA>1영업/정상1인허가<NA><NA><NA><NA>536550031<NA><NA>대구광역시 달서구 송현동 1928-5대구광역시 달서구 송현동1길 38 (송현동)42741(주)대동에레베이터2024-02-23 14:22:48U2024-02-25 02:40:00<NA>339844.133826259899.163569유지관리중저속승강기305000000<NA>2,61040<NA><NA><NA>29<NA><NA><NA><NA>본점5038131938
12승강기유지관리업체11_48_01_P62700006270000000882014-10-07<NA>1영업/정상1인허가<NA><NA><NA><NA>535564592<NA><NA>대구광역시 북구 관음동 1230-5대구광역시 북구 관음로 133, 308호(관음동)41448(주)남경엘리베이터2023-11-16 15:43:23U2023-11-18 02:40:00<NA>339060.543687272436.922125유지관리중저속승강기105000000<NA>72010<NA><NA><NA>8<NA><NA><NA><NA>본점5038156813
23승강기유지관리업체11_48_01_P62700006270000000952020-03-27<NA>1영업/정상1인허가<NA><NA><NA><NA>535648858<NA>41814대구광역시 서구 평리동 1676번지 평리롯데캐슬상가 201동 401호대구광역시 서구 국채보상로 316, 201동 401호 (평리동, 평리롯데캐슬)41814(주)부광엘리베이터2023-10-31 08:43:10U2023-11-02 02:40:00<NA>341340.524728264622.515911유지관리중저속승강기100000000<NA>1,0001<NA><NA><NA><NA>18<NA><NA><NA><NA>본점3688601869
34승강기유지관리업체11_48_01_P62700006270000000962020-04-27<NA>1영업/정상1인허가<NA><NA><NA><NA>532555511<NA><NA>대구광역시 동구 신천동 294-2대구광역시 동구 동대구로 460, 5층(신천동)41250(주)엠티케이2024-03-04 08:54:31U2024-03-06 02:40:00<NA>346792.028143264701.095794유지관리중저속승강기100000000<NA>1,2602<NA><NA><NA><NA>14<NA><NA><NA><NA>본점7718701572
45승강기유지관리업체11_48_01_P62700006270000001002021-10-25<NA>1영업/정상1인허가<NA><NA><NA><NA>537444349<NA>41072대구광역시 동구 대림동 888-2 대평휴플러스타워 113호대구광역시 동구 메디밸리로 5-21, 대평휴플러스타워 1층 113호(대림동)41072(주)목성엘리베이터2024-02-01 13:10:51U2024-02-03 02:40:00<NA>357832.242269265217.179087유지관리중저속승강기100000000<NA>6301<NA><NA><NA><NA>7<NA><NA><NA><NA>본점3538802268
56승강기유지관리업체11_48_01_P62700006270000001012021-12-03<NA>1영업/정상1인허가<NA><NA><NA><NA><NA><NA>42704대구광역시 달서구 갈산동 260-3대구광역시 달서구 성서공단로39길 75(갈산동)42704(주)이브엘리베이터2024-02-28 13:54:17U2024-03-01 02:40:00<NA>335665.411613261224.006002유지관리중저속승강기130000000<NA>6301<NA><NA><NA><NA>7<NA><NA><NA><NA>본점7838102500
67승강기유지관리업체11_48_01_P62700006270000000972020-07-08<NA>1영업/정상1인허가<NA><NA><NA><NA>532555511<NA>41250대구광역시 동구 신천동 294-2대구광역시 동구 동대구로 460, 5층(신천동)41250(주)엠티케이2023-12-01 14:47:16U2023-12-03 02:40:00<NA>346792.028143264701.095794유지관리중저속승강기100000000<NA>5401<NA><NA><NA><NA>6<NA><NA><NA><NA>지점5548501333
78승강기유지관리업체11_48_01_P62700006270000001032022-10-17<NA>1영업/정상1인허가<NA><NA><NA><NA>533225061<NA>41482대구광역시 북구 팔달동 산 12-9 4층대구광역시 북구 칠곡중앙대로 28, 4층(팔달동)41482(주)세움엘리베이터2023-01-12 15:28:24U2023-05-26 08:48:36<NA>339734.959428267601.019979유지관리중저속승강기300000000<NA>7001<NA><NA><NA><NA>7<NA><NA><NA><NA>본점4958701057
89승강기유지관리업체11_48_01_P62700006270000000932018-10-29<NA>1영업/정상1인허가<NA><NA><NA><NA>536365603<NA>42632대구광역시 달서구 죽전동 257-9대구광역시 달서구 와룡로 221, 5층 (죽전동)42632(주)아진엘리베이터2024-02-08 17:41:58U2024-02-11 02:40:00<NA>338755.557372262463.746683유지관리중저속승강기100000000<NA>9001<NA><NA><NA><NA>10<NA><NA><NA><NA>본점5798601149
910승강기유지관리업체11_48_01_P62700006270000001022022-08-18<NA>1영업/정상1인허가<NA><NA><NA><NA>534273359<NA>42911대구광역시 달성군 다사읍 매곡리 1526-10대구광역시 달성군 다사읍 대실역북로4길 15, 상가 102호42911(주)삼화엘리베이터2023-12-12 14:10:49U2023-12-14 02:40:00<NA>332396.659905263756.802746유지관리중저속승강기101000000<NA>6301<NA><NA><NA><NA>7<NA><NA><NA><NA>본점5048159206
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명관리업구분명자본금자산보수범위유지관리책임인력수실무기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타직원수회사구분명사업자등록번호
6364승강기유지관리업체11_48_01_P62700006270000000171994-03-19<NA>3폐업2폐지2014-04-21<NA><NA><NA>537444349<NA>706-820대구광역시 수성구 범어2동 177번지 10호<NA><NA>(주)한창2014-03-11 17:08:55I2018-08-31 23:59:59<NA>346914.592107263414.138825유지관리없음310000000<NA>80082<NA><NA><NA>0<NA><NA><NA><NA>본점5018119433
6465승강기유지관리업체11_48_01_P62700006270000000502000-09-01<NA>3폐업2폐지2017-04-04<NA><NA><NA>535526900<NA>703-809대구광역시 서구 비산2.3동 57번지 18호 센텀팰리스상가 202호대구광역시 서구 달서로 204, 202호 (비산동,센텀팰리스상가)703-809(주)다우엘리베이터2017-01-26 13:17:29I2018-08-31 23:59:59<NA>341876.728446265601.785192유지관리중저속승강기305000000<NA>70013<NA><NA><NA>10<NA><NA><NA><NA>본점5038157772
6566승강기유지관리업체11_48_01_P62700006270000000632004-03-09<NA>3폐업2폐지<NA><NA><NA><NA>537678064<NA>706-852대구광역시 수성구 황금2동 777번지 4호<NA><NA>부경엘리베이터2011-04-14 10:19:17I2018-08-31 23:59:59<NA>346662.45993261841.601685유지관리없음100000000<NA>30070<NA><NA><NA>0<NA><NA><NA><NA><NA>5021844436
6667승강기유지관리업체11_48_01_P62700006270000000552001-03-15<NA>3폐업2폐지<NA><NA><NA><NA>535849939<NA>704-940대구광역시 달서구 이곡2동 1222번지 2호<NA><NA>(주)고려이엘2008-12-30 14:14:11I2018-08-31 23:59:59<NA>335914.193392262449.694733유지관리없음1020000000<NA>40063<NA><NA><NA><NA><NA><NA><NA><NA><NA>5038167023
6768승강기유지관리업체11_48_01_P62700006270000000131993-03-29<NA>3폐업2폐지<NA><NA><NA><NA>535830811<NA>670-881경상남도 거창군 남상면 대산리 1569번지경상남도 거창군 남상면 일반산업길 241670-881(주)모든엘리베이터2015-05-06 15:39:47I2018-08-31 23:59:59<NA>283938.76084239566.696213유지관리없음136000000<NA>40053<NA><NA><NA><NA><NA><NA><NA><NA>본점5038137835
6869승강기유지관리업체11_48_01_P62700006270000000992021-01-22<NA>3폐업2폐지2022-08-23<NA><NA><NA>536041214<NA>42738대구광역시 달서구 송현동 506-6대구광역시 달서구 월배로83길 92 (송현동)42738(주)다우이엘에스2021-04-19 10:55:26U2022-09-28 02:40:00<NA>339708.828514260211.959085유지관리중저속승강기100000000<NA>7001<NA><NA><NA><NA>7<NA><NA><NA><NA>본점5598701967
6970승강기유지관리업체11_48_01_P62700006270000000732009-07-15<NA>2휴업3휴지<NA><NA><NA><NA>534757555<NA>706-838대구광역시 수성구 중동 551번지 37호<NA><NA>(주)이엘시스템2012-06-26 16:54:56I2018-08-31 23:59:59<NA>345243.36179261475.937665유지관리없음105000000<NA>10023<NA><NA><NA>7<NA><NA><NA><NA><NA>5148156598
7071승강기유지관리업체11_48_01_P62700006270000000311998-02-20<NA>2휴업3휴지<NA><NA><NA><NA>534276040<NA>700-412대구광역시 중구 삼덕동2가 291번지 1호<NA><NA>경창엔지니어링2010-04-26 17:56:16I2018-08-31 23:59:59<NA>344774.610491263824.380923유지관리없음115000000<NA>10023<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7172승강기유지관리업체11_48_01_P62700006270000000812011-09-21<NA>4취소/말소/만료/정지/중지5등록취소<NA>2014-08-262015-08-26<NA>7087303470<NA>703-721대구광역시 서구 평리5동 1495번지 한국폴리텍Ⅵ대학 703호<NA><NA>코리아엘리베이터(주)2021-06-09 09:41:00U2022-09-28 02:40:00<NA>340190.608688264772.646086유지관리중저속승강기320000000<NA>30014<NA><NA><NA>7<NA><NA><NA><NA>본점5048181028
7273승강기유지관리업체11_48_01_P62700006270000000982020-10-27<NA>4취소/말소/만료/정지/중지7타시도 소재지변경에 의한 말소<NA><NA><NA><NA>553752633<NA>41260대구광역시 동구 신천동 100번지 벽산e-솔렌스힐 상가동 111호대구광역시 동구 장등로 56, 상가동 2층 111호 (신천동, 벽산e-솔렌스힐)41260제이승강기(주)2021-10-29 08:18:32U2022-09-28 02:40:00<NA>346619.688743264770.311427유지관리중저속승강기250000000<NA>8001<NA><NA><NA><NA>8<NA><NA><NA><NA>본점1258632917