Overview

Dataset statistics

Number of variables36
Number of observations35
Missing cells484
Missing cells (%)38.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory316.8 B

Variable types

Numeric9
Categorical12
Text4
Unsupported10
DateTime1

Dataset

Description22년07월_6270000_대구광역시_11_45_01_P_물류주선업(국제)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093997&dataSetDetailId=DDI_0000094030&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
자치단체코드 has constant value ""Constant
업체유형명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (68.4%)Imbalance
영업상태명 is highly imbalanced (68.4%)Imbalance
상세영업상태코드 is highly imbalanced (68.4%)Imbalance
상세영업상태명 is highly imbalanced (68.4%)Imbalance
폐업일자 is highly imbalanced (81.3%)Imbalance
자본금 is highly imbalanced (64.3%)Imbalance
인허가취소일자 has 35 (100.0%) missing valuesMissing
휴업시작일자 has 35 (100.0%) missing valuesMissing
휴업종료일자 has 35 (100.0%) missing valuesMissing
재개업일자 has 35 (100.0%) missing valuesMissing
소재지전화 has 17 (48.6%) missing valuesMissing
소재지면적 has 35 (100.0%) missing valuesMissing
소재지우편번호 has 20 (57.1%) missing valuesMissing
소재지전체주소 has 20 (57.1%) missing valuesMissing
도로명우편번호 has 17 (48.6%) missing valuesMissing
업태구분명 has 35 (100.0%) missing valuesMissing
좌표정보(X) has 17 (48.6%) missing valuesMissing
좌표정보(Y) has 17 (48.6%) missing valuesMissing
지정정비업종명 has 35 (100.0%) missing valuesMissing
면허일자 has 26 (74.3%) missing valuesMissing
면허유효기간시작일자 has 35 (100.0%) missing valuesMissing
면허유효기간종료일자 has 35 (100.0%) missing valuesMissing
자격면허발급기관 has 35 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정정비업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면허유효기간시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면허유효기간종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자격면허발급기관 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-18 01:35:48.922079
Analysis finished2024-04-18 01:35:49.255908
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:49.307717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2024-04-18T10:35:49.406776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
물류주선업(국제)
35 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row물류주선업(국제)
2nd row물류주선업(국제)
3rd row물류주선업(국제)
4th row물류주선업(국제)
5th row물류주선업(국제)

Common Values

ValueCountFrequency (%)
물류주선업(국제) 35
100.0%

Length

2024-04-18T10:35:49.512550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:49.595503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물류주선업(국제 35
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
11_45_01_P
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_45_01_P
2nd row11_45_01_P
3rd row11_45_01_P
4th row11_45_01_P
5th row11_45_01_P

Common Values

ValueCountFrequency (%)
11_45_01_P 35
100.0%

Length

2024-04-18T10:35:49.671803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:49.750330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_45_01_p 35
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
6270000
35 

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 35
100.0%

Length

2024-04-18T10:35:49.828508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:49.909115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 35
100.0%

관리번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-18T10:35:50.058070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.914286
Min length12

Characters and Unicode

Total characters452
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

Unique35 ?
Unique (%)100.0%

Sample

1st row6270000-63-1
2nd row6270000-63-9
3rd row6270000-63-13
4th row6270000-63-14
5th row6270000-63-17
ValueCountFrequency (%)
6270000-63-1 1
 
2.9%
6270000-63-43 1
 
2.9%
6270000-63-50 1
 
2.9%
6270000-63-54 1
 
2.9%
6270000-63-55 1
 
2.9%
6270000-63-57 1
 
2.9%
6270000-63-64 1
 
2.9%
6270000-63-65 1
 
2.9%
6270000-63-49 1
 
2.9%
6270000-63-67 1
 
2.9%
Other values (25) 25
71.4%
2024-04-18T10:35:50.329196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
31.6%
6 74
16.4%
- 70
15.5%
7 47
 
10.4%
2 43
 
9.5%
3 40
 
8.8%
4 11
 
2.4%
1 8
 
1.8%
5 8
 
1.8%
9 5
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 382
84.5%
Dash Punctuation 70
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
37.4%
6 74
19.4%
7 47
 
12.3%
2 43
 
11.3%
3 40
 
10.5%
4 11
 
2.9%
1 8
 
2.1%
5 8
 
2.1%
9 5
 
1.3%
8 3
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
31.6%
6 74
16.4%
- 70
15.5%
7 47
 
10.4%
2 43
 
9.5%
3 40
 
8.8%
4 11
 
2.4%
1 8
 
1.8%
5 8
 
1.8%
9 5
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
31.6%
6 74
16.4%
- 70
15.5%
7 47
 
10.4%
2 43
 
9.5%
3 40
 
8.8%
4 11
 
2.4%
1 8
 
1.8%
5 8
 
1.8%
9 5
 
1.1%

인허가일자
Real number (ℝ)

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20109591
Minimum19961216
Maximum20220325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:50.436615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19961216
5-th percentile19997759
Q120050822
median20120723
Q320161017
95-th percentile20210498
Maximum20220325
Range259109
Interquartile range (IQR)110195

Descriptive statistics

Standard deviation73474.073
Coefficient of variation (CV)0.0036536831
Kurtosis-1.0085416
Mean20109591
Median Absolute Deviation (MAD)60215
Skewness-0.27983842
Sum7.0383569 × 108
Variance5.3984394 × 109
MonotonicityNot monotonic
2024-04-18T10:35:50.544416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20010604 2
 
5.7%
19961216 1
 
2.9%
20190916 1
 
2.9%
20151020 1
 
2.9%
20151109 1
 
2.9%
20151117 1
 
2.9%
20161010 1
 
2.9%
20161024 1
 
2.9%
20180123 1
 
2.9%
20200414 1
 
2.9%
Other values (24) 24
68.6%
ValueCountFrequency (%)
19961216 1
2.9%
19990624 1
2.9%
20000817 1
2.9%
20001013 1
2.9%
20010604 2
5.7%
20040611 1
2.9%
20050114 1
2.9%
20050429 1
2.9%
20051215 1
2.9%
20060508 1
2.9%
ValueCountFrequency (%)
20220325 1
2.9%
20210901 1
2.9%
20210326 1
2.9%
20201217 1
2.9%
20201124 1
2.9%
20200414 1
2.9%
20190916 1
2.9%
20180123 1
2.9%
20161024 1
2.9%
20161010 1
2.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
33 
3
 
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 33
94.3%
3 2
 
5.7%

Length

2024-04-18T10:35:50.645067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:50.721938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
94.3%
3 2
 
5.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업/정상
33 
폐업
 
2

Length

Max length5
Median length5
Mean length4.8285714
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 33
94.3%
폐업 2
 
5.7%

Length

2024-04-18T10:35:50.803188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:50.880605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 33
94.3%
폐업 2
 
5.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
10
33 
30
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 33
94.3%
30 2
 
5.7%

Length

2024-04-18T10:35:50.965368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:51.041794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 33
94.3%
30 2
 
5.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
운행
33 
폐지
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운행 33
94.3%
폐지 2
 
5.7%

Length

2024-04-18T10:35:51.126177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:51.202611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운행 33
94.3%
폐지 2
 
5.7%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
34 
20141015
 
1

Length

Max length8
Median length4
Mean length4.1142857
Min length4

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
97.1%
20141015 1
 
2.9%

Length

2024-04-18T10:35:51.291185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:51.378790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
97.1%
20141015 1
 
2.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing17
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean8.9797031 × 108
Minimum5.3260507 × 108
Maximum7.0435418 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:51.448157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3260507 × 108
5-th percentile5.3363448 × 108
Q15.3562953 × 108
median5.3742992 × 108
Q35.375425 × 108
95-th percentile1.5150194 × 109
Maximum7.0435418 × 109
Range6.5109367 × 109
Interquartile range (IQR)1912970.8

Descriptive statistics

Standard deviation1.5337334 × 109
Coefficient of variation (CV)1.7080001
Kurtosis17.999949
Mean8.9797031 × 108
Median Absolute Deviation (MAD)817547
Skewness4.2426321
Sum1.6163466 × 1010
Variance2.352338 × 1018
MonotonicityNot monotonic
2024-04-18T10:35:51.538559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
537543399 1
 
2.9%
537462626 1
 
2.9%
535933006 1
 
2.9%
532605072 1
 
2.9%
537568100 1
 
2.9%
535612431 1
 
2.9%
7043541776 1
 
2.9%
534225620 1
 
2.9%
537560011 1
 
2.9%
537414462 1
 
2.9%
Other values (8) 8
22.9%
(Missing) 17
48.6%
ValueCountFrequency (%)
532605072 1
2.9%
533816136 1
2.9%
534225620 1
2.9%
535246900 1
2.9%
535612431 1
2.9%
535680808 1
2.9%
535933006 1
2.9%
537414462 1
2.9%
537415346 1
2.9%
537444500 1
2.9%
ValueCountFrequency (%)
7043541776 1
2.9%
539397782 1
2.9%
537568100 1
2.9%
537560011 1
2.9%
537543399 1
2.9%
537539787 1
2.9%
537462626 1
2.9%
537457802 1
2.9%
537444500 1
2.9%
537415346 1
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing20
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean41732.933
Minimum41074
Maximum42722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:51.628079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41074
5-th percentile41169.9
Q141254
median41555
Q342152.5
95-th percentile42680
Maximum42722
Range1648
Interquartile range (IQR)898.5

Descriptive statistics

Standard deviation549.88901
Coefficient of variation (CV)0.013176381
Kurtosis-0.97725268
Mean41732.933
Median Absolute Deviation (MAD)344
Skewness0.58392307
Sum625994
Variance302377.92
MonotonicityNot monotonic
2024-04-18T10:35:51.715944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
41256 2
 
5.7%
41555 1
 
2.9%
42165 1
 
2.9%
41502 1
 
2.9%
42140 1
 
2.9%
42662 1
 
2.9%
42722 1
 
2.9%
41252 1
 
2.9%
41211 1
 
2.9%
42256 1
 
2.9%
Other values (4) 4
 
11.4%
(Missing) 20
57.1%
ValueCountFrequency (%)
41074 1
2.9%
41211 1
2.9%
41242 1
2.9%
41252 1
2.9%
41256 2
5.7%
41502 1
2.9%
41555 1
2.9%
41752 1
2.9%
41949 1
2.9%
42140 1
2.9%
ValueCountFrequency (%)
42722 1
2.9%
42662 1
2.9%
42256 1
2.9%
42165 1
2.9%
42140 1
2.9%
41949 1
2.9%
41752 1
2.9%
41555 1
2.9%
41502 1
2.9%
41256 2
5.7%

소재지전체주소
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing20
Missing (%)57.1%
Memory size412.0 B
2024-04-18T10:35:51.861423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length21.333333
Min length17

Characters and Unicode

Total characters320
Distinct characters57
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

Unique15 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 노원동3가 1049번지
2nd row대구광역시 수성구 상동 205-9
3rd row대구광역시 동구 신천동 86-1
4th row대구광역시 동구 신천동 90-1 대구빌딩
5th row대구광역시 북구 산격동 755-5
ValueCountFrequency (%)
대구광역시 15
22.4%
동구 6
 
9.0%
신천동 4
 
6.0%
수성구 3
 
4.5%
북구 2
 
3.0%
달서구 2
 
3.0%
302호 2
 
3.0%
205-9 1
 
1.5%
경동빌딩 1
 
1.5%
신서동 1
 
1.5%
Other values (30) 30
44.8%
2024-04-18T10:35:52.140681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
16.2%
구 31
 
9.7%
동 22
 
6.9%
시 16
 
5.0%
대 16
 
5.0%
역 15
 
4.7%
광 15
 
4.7%
- 13
 
4.1%
2 12
 
3.8%
0 11
 
3.4%
Other values (47) 117
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
57.8%
Decimal Number 70
 
21.9%
Space Separator 52
 
16.2%
Dash Punctuation 13
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 31
16.8%
동 22
11.9%
시 16
 
8.6%
대 16
 
8.6%
역 15
 
8.1%
광 15
 
8.1%
신 6
 
3.2%
성 6
 
3.2%
서 4
 
2.2%
천 4
 
2.2%
Other values (35) 50
27.0%
Decimal Number
ValueCountFrequency (%)
2 12
17.1%
0 11
15.7%
1 10
14.3%
3 9
12.9%
5 8
11.4%
4 5
7.1%
9 5
7.1%
7 5
7.1%
8 3
 
4.3%
6 2
 
2.9%
Space Separator
ValueCountFrequency (%)
52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
57.8%
Common 135
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 31
16.8%
동 22
11.9%
시 16
 
8.6%
대 16
 
8.6%
역 15
 
8.1%
광 15
 
8.1%
신 6
 
3.2%
성 6
 
3.2%
서 4
 
2.2%
천 4
 
2.2%
Other values (35) 50
27.0%
Common
ValueCountFrequency (%)
52
38.5%
- 13
 
9.6%
2 12
 
8.9%
0 11
 
8.1%
1 10
 
7.4%
3 9
 
6.7%
5 8
 
5.9%
4 5
 
3.7%
9 5
 
3.7%
7 5
 
3.7%
Other values (2) 5
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
57.8%
ASCII 135
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
38.5%
- 13
 
9.6%
2 12
 
8.9%
0 11
 
8.1%
1 10
 
7.4%
3 9
 
6.7%
5 8
 
5.9%
4 5
 
3.7%
9 5
 
3.7%
7 5
 
3.7%
Other values (2) 5
 
3.7%
Hangul
ValueCountFrequency (%)
구 31
16.8%
동 22
11.9%
시 16
 
8.6%
대 16
 
8.6%
역 15
 
8.1%
광 15
 
8.1%
신 6
 
3.2%
성 6
 
3.2%
서 4
 
2.2%
천 4
 
2.2%
Other values (35) 50
27.0%

도로명전체주소
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-18T10:35:52.353348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length28.114286
Min length21

Characters and Unicode

Total characters984
Distinct characters96
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)94.3%

Sample

1st row대구광역시 동구 동대구로 447 (신천동)
2nd row대구광역시 동구 동대구로85길 7-2 (신천동)
3rd row대구광역시 북구 노원로 169, 405호 (노원동3가)
4th row대구광역시 북구 노원로 116, 205호 (노원동3가)
5th row대구광역시 달서구 달서대로 559, 7층 706호 (신당동,이앤씨이노비즈타워)
ValueCountFrequency (%)
대구광역시 35
 
17.6%
동구 18
 
9.0%
신천동 14
 
7.0%
달서구 6
 
3.0%
수성구 4
 
2.0%
동대구로 4
 
2.0%
장등로 3
 
1.5%
3층 3
 
1.5%
동부로22길 3
 
1.5%
북구 3
 
1.5%
Other values (93) 106
53.3%
2024-04-18T10:35:52.666757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
16.7%
구 78
 
7.9%
동 68
 
6.9%
대 45
 
4.6%
시 36
 
3.7%
) 35
 
3.6%
광 35
 
3.6%
역 35
 
3.6%
( 35
 
3.6%
로 34
 
3.5%
Other values (86) 419
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
57.2%
Space Separator 164
 
16.7%
Decimal Number 159
 
16.2%
Close Punctuation 35
 
3.6%
Open Punctuation 35
 
3.6%
Other Punctuation 23
 
2.3%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 78
13.9%
동 68
 
12.1%
대 45
 
8.0%
시 36
 
6.4%
광 35
 
6.2%
역 35
 
6.2%
로 34
 
6.0%
신 20
 
3.6%
천 16
 
2.8%
길 14
 
2.5%
Other values (71) 182
32.3%
Decimal Number
ValueCountFrequency (%)
2 26
16.4%
0 19
11.9%
1 19
11.9%
3 18
11.3%
4 15
9.4%
5 15
9.4%
7 14
8.8%
6 13
8.2%
8 13
8.2%
9 7
 
4.4%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
57.2%
Common 421
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 78
13.9%
동 68
 
12.1%
대 45
 
8.0%
시 36
 
6.4%
광 35
 
6.2%
역 35
 
6.2%
로 34
 
6.0%
신 20
 
3.6%
천 16
 
2.8%
길 14
 
2.5%
Other values (71) 182
32.3%
Common
ValueCountFrequency (%)
164
39.0%
) 35
 
8.3%
( 35
 
8.3%
2 26
 
6.2%
, 23
 
5.5%
0 19
 
4.5%
1 19
 
4.5%
3 18
 
4.3%
4 15
 
3.6%
5 15
 
3.6%
Other values (5) 52
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
57.2%
ASCII 421
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
39.0%
) 35
 
8.3%
( 35
 
8.3%
2 26
 
6.2%
, 23
 
5.5%
0 19
 
4.5%
1 19
 
4.5%
3 18
 
4.3%
4 15
 
3.6%
5 15
 
3.6%
Other values (5) 52
 
12.4%
Hangul
ValueCountFrequency (%)
구 78
13.9%
동 68
 
12.1%
대 45
 
8.0%
시 36
 
6.4%
광 35
 
6.2%
역 35
 
6.2%
로 34
 
6.0%
신 20
 
3.6%
천 16
 
2.8%
길 14
 
2.5%
Other values (71) 182
32.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)88.9%
Missing17
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean41817.389
Minimum41074
Maximum42759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:52.767421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41074
5-th percentile41190.45
Q141256
median41653.5
Q342233.25
95-th percentile42727.55
Maximum42759
Range1685
Interquartile range (IQR)977.25

Descriptive statistics

Standard deviation610.11813
Coefficient of variation (CV)0.014590058
Kurtosis-1.4284668
Mean41817.389
Median Absolute Deviation (MAD)427
Skewness0.42288596
Sum752713
Variance372244.13
MonotonicityNot monotonic
2024-04-18T10:35:52.858383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
41256 3
 
8.6%
41252 1
 
2.9%
41074 1
 
2.9%
41752 1
 
2.9%
41949 1
 
2.9%
41242 1
 
2.9%
42256 1
 
2.9%
41211 1
 
2.9%
41555 1
 
2.9%
42165 1
 
2.9%
Other values (6) 6
 
17.1%
(Missing) 17
48.6%
ValueCountFrequency (%)
41074 1
 
2.9%
41211 1
 
2.9%
41242 1
 
2.9%
41252 1
 
2.9%
41256 3
8.6%
41502 1
 
2.9%
41555 1
 
2.9%
41752 1
 
2.9%
41949 1
 
2.9%
42140 1
 
2.9%
ValueCountFrequency (%)
42759 1
2.9%
42722 1
2.9%
42704 1
2.9%
42662 1
2.9%
42256 1
2.9%
42165 1
2.9%
42140 1
2.9%
41949 1
2.9%
41752 1
2.9%
41555 1
2.9%

사업장명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-18T10:35:53.017331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.5714286
Min length4

Characters and Unicode

Total characters335
Distinct characters88
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row(주)청우국제운송
2nd row대구로지스틱스(주)
3rd row주식회사 세이프로지스
4th row태화로지스틱(주)
5th row(주)성원항공해운
ValueCountFrequency (%)
주식회사 9
 
20.5%
주)청우국제운송 1
 
2.3%
경성물류 1
 
2.3%
삼성이엠주식회사 1
 
2.3%
주)디에이치씨앤에어 1
 
2.3%
피알아이로지스틱(주 1
 
2.3%
이맥스글로비즈 1
 
2.3%
씨아이엘(주 1
 
2.3%
주식회사정명운수 1
 
2.3%
한성통상주식회사 1
 
2.3%
Other values (26) 26
59.1%
2024-04-18T10:35:53.304651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
10.4%
( 20
 
6.0%
) 20
 
6.0%
스 17
 
5.1%
이 15
 
4.5%
식 14
 
4.2%
회 14
 
4.2%
사 14
 
4.2%
로 12
 
3.6%
제 11
 
3.3%
Other values (78) 163
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
84.8%
Open Punctuation 20
 
6.0%
Close Punctuation 20
 
6.0%
Space Separator 9
 
2.7%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
12.3%
스 17
 
6.0%
이 15
 
5.3%
식 14
 
4.9%
회 14
 
4.9%
사 14
 
4.9%
로 12
 
4.2%
제 11
 
3.9%
지 11
 
3.9%
국 8
 
2.8%
Other values (73) 133
46.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
84.8%
Common 49
 
14.6%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
12.3%
스 17
 
6.0%
이 15
 
5.3%
식 14
 
4.9%
회 14
 
4.9%
사 14
 
4.9%
로 12
 
4.2%
제 11
 
3.9%
지 11
 
3.9%
국 8
 
2.8%
Other values (73) 133
46.8%
Common
ValueCountFrequency (%)
( 20
40.8%
) 20
40.8%
9
18.4%
Latin
ValueCountFrequency (%)
G 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
84.8%
ASCII 51
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
12.3%
스 17
 
6.0%
이 15
 
5.3%
식 14
 
4.9%
회 14
 
4.9%
사 14
 
4.9%
로 12
 
4.2%
제 11
 
3.9%
지 11
 
3.9%
국 8
 
2.8%
Other values (73) 133
46.8%
ASCII
ValueCountFrequency (%)
( 20
39.2%
) 20
39.2%
9
17.6%
G 1
 
2.0%
F 1
 
2.0%

최종수정시점
Real number (ℝ)

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0181176 × 1013
Minimum2.0130201 × 1013
Maximum2.0220524 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:53.409745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130201 × 1013
5-th percentile2.0130328 × 1013
Q12.0150476 × 1013
median2.0200416 × 1013
Q32.0210368 × 1013
95-th percentile2.0220356 × 1013
Maximum2.0220524 × 1013
Range9.0323 × 1010
Interquartile range (IQR)5.9892 × 1010

Descriptive statistics

Standard deviation3.2864063 × 1010
Coefficient of variation (CV)0.0016284514
Kurtosis-1.3787254
Mean2.0181176 × 1013
Median Absolute Deviation (MAD)1.9705 × 1010
Skewness-0.49216675
Sum7.0634114 × 1014
Variance1.0800466 × 1021
MonotonicityNot monotonic
2024-04-18T10:35:53.500473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20130328000000 4
 
11.4%
20200416000000 2
 
5.7%
20201124000000 2
 
5.7%
20160523000000 1
 
2.9%
20210415000000 1
 
2.9%
20140516000000 1
 
2.9%
20220325000000 1
 
2.9%
20210901000000 1
 
2.9%
20210329000000 1
 
2.9%
20201217000000 1
 
2.9%
Other values (20) 20
57.1%
ValueCountFrequency (%)
20130201000000 1
 
2.9%
20130328000000 4
11.4%
20130520000000 1
 
2.9%
20140516000000 1
 
2.9%
20141015000000 1
 
2.9%
20150126000000 1
 
2.9%
20150826000000 1
 
2.9%
20151016000000 1
 
2.9%
20160523000000 1
 
2.9%
20170223000000 1
 
2.9%
ValueCountFrequency (%)
20220524000000 1
2.9%
20220428000000 1
2.9%
20220325000000 1
2.9%
20220121000000 1
2.9%
20211019000000 1
2.9%
20210901000000 1
2.9%
20210422000000 1
2.9%
20210415000000 1
2.9%
20210407000000 1
2.9%
20210329000000 1
2.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
U
29 
I
6 

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 29
82.9%
I 6
 
17.1%

Length

2024-04-18T10:35:53.598708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:53.677440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 29
82.9%
i 6
 
17.1%

데이터갱신일자
Date

Distinct21
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2018-11-03 04:00:00
Maximum2022-05-26 02:40:00
2024-04-18T10:35:53.750545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:35:53.840512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing17
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean343445.72
Minimum334621.23
Maximum353473.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:53.928597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334621.23
5-th percentile335843.02
Q1339618.84
median344826.22
Q3346662.03
95-th percentile348123.26
Maximum353473.37
Range18852.146
Interquartile range (IQR)7043.1921

Descriptive statistics

Standard deviation4932.3193
Coefficient of variation (CV)0.014361277
Kurtosis-0.30878006
Mean343445.72
Median Absolute Deviation (MAD)2163.8963
Skewness-0.21902843
Sum6182023
Variance24327773
MonotonicityNot monotonic
2024-04-18T10:35:54.024910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
337258.894108 1
 
2.9%
338804.938239 1
 
2.9%
344455.682727 1
 
2.9%
346801.104968 1
 
2.9%
353473.370919 1
 
2.9%
346470.783685 1
 
2.9%
347179.125519 1
 
2.9%
337329.213273 1
 
2.9%
342060.540953 1
 
2.9%
334621.225167 1
 
2.9%
Other values (8) 8
22.9%
(Missing) 17
48.6%
ValueCountFrequency (%)
334621.225167 1
2.9%
336058.627858 1
2.9%
337258.894108 1
2.9%
337329.213273 1
2.9%
338804.938239 1
2.9%
342060.540953 1
2.9%
342077.962722 1
2.9%
343631.181795 1
2.9%
344455.682727 1
2.9%
345196.755063 1
2.9%
ValueCountFrequency (%)
353473.370919 1
2.9%
347179.125519 1
2.9%
346801.104968 1
2.9%
346671.596784 1
2.9%
346671.304307 1
2.9%
346634.210978 1
2.9%
346626.457293 1
2.9%
346470.783685 1
2.9%
345196.755063 1
2.9%
344455.682727 1
2.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing17
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean263295.93
Minimum258849.45
Maximum267312.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:54.125623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258849.45
5-th percentile260228.47
Q1261665.01
median263555.38
Q3264969.26
95-th percentile265822.14
Maximum267312.86
Range8463.4139
Interquartile range (IQR)3304.251

Descriptive statistics

Standard deviation2231.3366
Coefficient of variation (CV)0.0084746338
Kurtosis-0.55582198
Mean263295.93
Median Absolute Deviation (MAD)1474.947
Skewness-0.32164231
Sum4739326.8
Variance4978863.1
MonotonicityNot monotonic
2024-04-18T10:35:54.208007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
258849.448812 1
 
2.9%
265299.291421 1
 
2.9%
263557.009733 1
 
2.9%
264796.170378 1
 
2.9%
261538.567353 1
 
2.9%
265559.068907 1
 
2.9%
264320.266432 1
 
2.9%
260608.194744 1
 
2.9%
267312.862759 1
 
2.9%
262044.332358 1
 
2.9%
Other values (8) 8
22.9%
(Missing) 17
48.6%
ValueCountFrequency (%)
258849.448812 1
2.9%
260471.822725 1
2.9%
260608.194744 1
2.9%
260608.812181 1
2.9%
261538.567353 1
2.9%
262044.332358 1
2.9%
262506.053568 1
2.9%
263376.105151 1
2.9%
263553.753801 1
2.9%
263557.009733 1
2.9%
ValueCountFrequency (%)
267312.862759 1
2.9%
265559.068907 1
2.9%
265299.291421 1
2.9%
264994.226366 1
2.9%
264973.118623 1
2.9%
264957.682619 1
2.9%
264796.170378 1
2.9%
264320.266432 1
2.9%
263557.009733 1
2.9%
263553.753801 1
2.9%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
6270000
35 

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 35
100.0%

Length

2024-04-18T10:35:54.299733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:55.009694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 35
100.0%

업체유형명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
국제물류주선업
35 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제물류주선업 35
100.0%

Length

2024-04-18T10:35:55.086533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:55.160997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제물류주선업 35
100.0%

자본금
Categorical

IMBALANCE 

Distinct6
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
300000000
30 
615300000
 
1
30000000000
 
1
<NA>
 
1
350000000
 
1

Length

Max length11
Median length9
Mean length8.9142857
Min length4

Unique

Unique5 ?
Unique (%)14.3%

Sample

1st row615300000
2nd row300000000
3rd row300000000
4th row300000000
5th row300000000

Common Values

ValueCountFrequency (%)
300000000 30
85.7%
615300000 1
 
2.9%
30000000000 1
 
2.9%
<NA> 1
 
2.9%
350000000 1
 
2.9%
310000000 1
 
2.9%

Length

2024-04-18T10:35:55.249208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:55.347052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300000000 30
85.7%
615300000 1
 
2.9%
30000000000 1
 
2.9%
na 1
 
2.9%
350000000 1
 
2.9%
310000000 1
 
2.9%

지정정비업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

면허일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing26
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean20115184
Minimum20070515
Maximum20140512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-18T10:35:55.426694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070515
5-th percentile20078678
Q120111006
median20120723
Q320121123
95-th percentile20140508
Maximum20140512
Range69997
Interquartile range (IQR)10117

Descriptive statistics

Standard deviation22389.091
Coefficient of variation (CV)0.0011130443
Kurtosis0.92319827
Mean20115184
Median Absolute Deviation (MAD)9717
Skewness-1.0066473
Sum1.8103666 × 108
Variance5.0127141 × 108
MonotonicityStrictly increasing
2024-04-18T10:35:55.524930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20070515 1
 
2.9%
20090922 1
 
2.9%
20111006 1
 
2.9%
20120622 1
 
2.9%
20120723 1
 
2.9%
20120731 1
 
2.9%
20121123 1
 
2.9%
20140501 1
 
2.9%
20140512 1
 
2.9%
(Missing) 26
74.3%
ValueCountFrequency (%)
20070515 1
2.9%
20090922 1
2.9%
20111006 1
2.9%
20120622 1
2.9%
20120723 1
2.9%
20120731 1
2.9%
20121123 1
2.9%
20140501 1
2.9%
20140512 1
2.9%
ValueCountFrequency (%)
20140512 1
2.9%
20140501 1
2.9%
20121123 1
2.9%
20120731 1
2.9%
20120723 1
2.9%
20120622 1
2.9%
20111006 1
2.9%
20090922 1
2.9%
20070515 1
2.9%

면허유효기간시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

면허유효기간종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

자격면허발급기관
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자치단체코드업체유형명자본금지정정비업종명면허일자면허유효기간시작일자면허유효기간종료일자자격면허발급기관
01물류주선업(국제)11_45_01_P62700006270000-63-119961216<NA>1영업/정상10운행<NA><NA><NA><NA>537560011<NA><NA><NA>대구광역시 동구 동대구로 447 (신천동)<NA>(주)청우국제운송20160523000000U2018-11-03 04:00:00.0<NA><NA><NA>6270000국제물류주선업615300000<NA><NA><NA><NA><NA>
12물류주선업(국제)11_45_01_P62700006270000-63-920000817<NA>1영업/정상10운행<NA><NA><NA><NA>537414462<NA><NA><NA>대구광역시 동구 동대구로85길 7-2 (신천동)<NA>대구로지스틱스(주)20130201000000U2018-11-03 04:00:00.0<NA><NA><NA>6270000국제물류주선업300000000<NA><NA><NA><NA><NA>
23물류주선업(국제)11_45_01_P62700006270000-63-1320010604<NA>1영업/정상10운행<NA><NA><NA><NA>533816136<NA><NA><NA>대구광역시 북구 노원로 169, 405호 (노원동3가)<NA>주식회사 세이프로지스20130328000000U2018-11-03 04:00:00.0<NA><NA><NA>6270000국제물류주선업300000000<NA><NA><NA><NA><NA>
34물류주선업(국제)11_45_01_P62700006270000-63-1420010604<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41555대구광역시 북구 노원동3가 1049번지대구광역시 북구 노원로 116, 205호 (노원동3가)41555태화로지스틱(주)20201207000000U2020-12-09 02:40:00.0<NA>342060.540953267312.8627596270000국제물류주선업300000000<NA><NA><NA><NA><NA>
45물류주선업(국제)11_45_01_P62700006270000-63-1720040611<NA>1영업/정상10운행<NA><NA><NA><NA>535680808<NA><NA><NA>대구광역시 달서구 달서대로 559, 7층 706호 (신당동,이앤씨이노비즈타워)<NA>(주)성원항공해운20211019000000U2021-10-21 02:40:00.0<NA>334621.225167262044.3323586270000국제물류주선업300000000<NA><NA><NA><NA><NA>
56물류주선업(국제)11_45_01_P62700006270000-63-1820050114<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>42165대구광역시 수성구 상동 205-9대구광역시 수성구 신천동로 94-7 (상동)42165GF해운20200416000000U2020-04-18 02:40:00.0<NA>345196.755063260471.8227256270000국제물류주선업300000000<NA><NA><NA><NA><NA>
67물류주선업(국제)11_45_01_P62700006270000-63-1920050429<NA>3폐업30폐지<NA><NA><NA><NA>537457802<NA><NA><NA>대구광역시 동구 동부로22길 28, 509호 (신천동)<NA>청도국제물류(주)20130520000000U2018-11-03 04:00:00.0<NA><NA><NA>6270000국제물류주선업300000000<NA><NA><NA><NA><NA>
78물류주선업(국제)11_45_01_P62700006270000-63-2220051215<NA>1영업/정상10운행<NA><NA><NA><NA>535246900<NA><NA><NA>대구광역시 서구 평리로35길 85 (중리동)<NA>영원국제물류주식회사20181008000000U2018-11-03 04:00:00.0<NA><NA><NA>6270000국제물류주선업300000000<NA><NA><NA><NA><NA>
89물류주선업(국제)11_45_01_P62700006270000-63-2420060508<NA>1영업/정상10운행<NA><NA><NA><NA>537444500<NA><NA><NA>대구광역시 동구 동부로26길 58, 1002호 (신천동)<NA>글로비즈로지스틱스(주)20220121000000U2022-01-23 02:40:00.0<NA><NA><NA>6270000국제물류주선업300000000<NA><NA><NA><NA><NA>
910물류주선업(국제)11_45_01_P62700006270000-63-2520060526<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41256대구광역시 동구 신천동 86-1대구광역시 동구 장등로 66 (신천동)41256주식회사제니스해운20210422000000U2021-04-24 02:40:00.0<NA>346626.457293264973.1186236270000국제물류주선업300000000<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자치단체코드업체유형명자본금지정정비업종명면허일자면허유효기간시작일자면허유효기간종료일자자격면허발급기관
2526물류주선업(국제)11_45_01_P62700006270000-63-6520161024<NA>1영업/정상10운행<NA><NA><NA><NA>535933006<NA><NA><NA>대구광역시 달서구 월암로 21 (월성동)42759주식회사정명운수20170223000000U2018-11-03 04:00:00.0<NA>337258.894108258849.4488126270000국제물류주선업300000000<NA><NA><NA><NA><NA>
2627물류주선업(국제)11_45_01_P62700006270000-63-6720180123<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>42722대구광역시 달서구 월성동 890번지대구광역시 달서구 성서공단로 346, 108호 (월성동)42722주식회사 스타로지스20200610000000U2020-06-12 02:40:00.0<NA>337329.213273260608.1947446270000국제물류주선업300000000<NA><NA><NA><NA><NA>
2728물류주선업(국제)11_45_01_P62700006270000-63-7220190916<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41252대구광역시 동구 신천동 350-7 경동빌딩대구광역시 동구 동부로30길 107, 경동빌딩 7층 (신천동)41252(주)엠케이지엘20220428000000U2022-04-30 02:40:00.0<NA>347179.125519264320.2664326270000국제물류주선업300000000<NA><NA><NA><NA><NA>
2829물류주선업(국제)11_45_01_P62700006270000-63-7420200414<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41211대구광역시 동구 신암동 232-5대구광역시 동구 신암남로 63 (신암동)41211제이비인터내셔널(주)20200416000000I2020-04-18 00:23:21.0<NA>346470.783685265559.0689076270000국제물류주선업300000000<NA><NA><NA><NA><NA>
2930물류주선업(국제)11_45_01_P62700006270000-63-7520201124<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>42256대구광역시 수성구 시지동 314-7대구광역시 수성구 노변공원로1길 3, 3층 (시지동)42256(주)가온국제물류20201124000000I2020-11-26 00:23:07.0<NA>353473.370919261538.5673536270000국제물류주선업300000000<NA><NA><NA><NA><NA>
3031물류주선업(국제)11_45_01_P62700006270000-63-7620201217<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41242대구광역시 동구 신천동 292-6 유성푸르나임 302호대구광역시 동구 동부로22길 48, 유성푸르나임 302호 (신천동)41242(주)와이엔케이서비스20201217000000I2020-12-19 00:23:16.0<NA>346801.104968264796.1703786270000국제물류주선업300000000<NA><NA><NA><NA><NA>
3132물류주선업(국제)11_45_01_P62700006270000-63-7720210326<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41949대구광역시 중구 봉산동 185-37 세종빌딩대구광역시 중구 대봉로 257, 세종빌딩 2층 (봉산동)41949(주)엘위즈20210329000000I2021-03-31 00:22:59.0<NA>344455.682727263557.0097336270000국제물류주선업300000000<NA><NA><NA><NA><NA>
3233물류주선업(국제)11_45_01_P62700006270000-63-7820210901<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41752대구광역시 서구 이현동 42-420대구광역시 서구 북비산로 48(이현동)41752(주)일상로지스20210901000000I2021-09-03 00:22:50.0<NA>338804.938239265299.2914216270000국제물류주선업300000000<NA><NA><NA><NA><NA>
3334물류주선업(국제)11_45_01_P62700006270000-63-7920220325<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>41074대구광역시 동구 신서동 1032-24대구광역시 동구 반야월로 311-11, 4층(신서동)41074(주)제이엔엘로지스20220325000000I2022-03-27 00:22:35.0<NA><NA><NA>6270000국제물류주선업300000000<NA><NA><NA><NA><NA>
3435물류주선업(국제)11_45_01_P62700006270000-63-1020001013<NA>1영업/정상10운행<NA><NA><NA><NA>537462626<NA><NA><NA>대구광역시 동구 화랑로91길 7, 202호 (방촌동)<NA>(주)선진쉬핑20140516000000U2018-11-03 04:00:00.0<NA><NA><NA>6270000국제물류주선업300000000<NA><NA><NA><NA><NA>