Overview

Dataset statistics

Number of variables8
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory68.4 B

Variable types

Numeric3
Text2
Categorical2
DateTime1

Dataset

Description경상남도 내(부산진해경제자유구역청 관할 제외) 국제물류주선업 등록 업체에 관한 현황자료로 법인명, 상세주소, 최초등록일, 영업상태에 관한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15088732

Alerts

연번 is highly overall correlated with 등록번호High correlation
등록번호 is highly overall correlated with 연번High correlation
우편번호 is highly overall correlated with 지자체High correlation
지자체 is highly overall correlated with 우편번호High correlation
구분 is highly imbalanced (91.6%)Imbalance
연번 has unique valuesUnique
등록번호 has unique valuesUnique
법인명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:26:01.193575
Analysis finished2023-12-11 00:26:03.254744
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-11T09:26:03.367905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2023-12-11T09:26:03.537137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.21053
Minimum4
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-11T09:26:03.687346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16.9
Q168.5
median113
Q3139.5
95-th percentile159.3
Maximum164
Range160
Interquartile range (IQR)71

Descriptive statistics

Standard deviation46.675862
Coefficient of variation (CV)0.46117596
Kurtosis-0.86476009
Mean101.21053
Median Absolute Deviation (MAD)33
Skewness-0.56295162
Sum9615
Variance2178.6361
MonotonicityStrictly increasing
2023-12-11T09:26:03.861388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 1
 
1.1%
5 1
 
1.1%
139 1
 
1.1%
138 1
 
1.1%
137 1
 
1.1%
136 1
 
1.1%
135 1
 
1.1%
134 1
 
1.1%
133 1
 
1.1%
132 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
4 1
1.1%
5 1
1.1%
6 1
1.1%
9 1
1.1%
12 1
1.1%
19 1
1.1%
21 1
1.1%
24 1
1.1%
25 1
1.1%
28 1
1.1%
ValueCountFrequency (%)
164 1
1.1%
163 1
1.1%
162 1
1.1%
161 1
1.1%
160 1
1.1%
159 1
1.1%
158 1
1.1%
157 1
1.1%
156 1
1.1%
155 1
1.1%

법인명
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-11T09:26:04.155280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.3789474
Min length3

Characters and Unicode

Total characters701
Distinct characters143
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row(주)신한상운
2nd row주식회사 지아이지
3rd row주식회사 윈윈종합물류
4th row거성해운(주)
5th row주식회사 천경
ValueCountFrequency (%)
주식회사 28
 
22.2%
엘 2
 
1.6%
주)신한상운 1
 
0.8%
유)신진로지스 1
 
0.8%
㈜신항특수로직스 1
 
0.8%
㈜디씨티로직스 1
 
0.8%
㈜엠제이물류 1
 
0.8%
늘푸른물류 1
 
0.8%
청담해운항공㈜ 1
 
0.8%
㈜레벤 1
 
0.8%
Other values (88) 88
69.8%
2023-12-11T09:26:04.538709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 60
 
8.6%
스 50
 
7.1%
로 35
 
5.0%
주 34
 
4.9%
31
 
4.4%
사 29
 
4.1%
회 28
 
4.0%
지 28
 
4.0%
식 28
 
4.0%
류 21
 
3.0%
Other values (133) 357
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
85.3%
Other Symbol 60
 
8.6%
Space Separator 31
 
4.4%
Open Punctuation 6
 
0.9%
Close Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 50
 
8.4%
로 35
 
5.9%
주 34
 
5.7%
사 29
 
4.8%
회 28
 
4.7%
지 28
 
4.7%
식 28
 
4.7%
류 21
 
3.5%
물 21
 
3.5%
에 12
 
2.0%
Other values (129) 312
52.2%
Other Symbol
ValueCountFrequency (%)
㈜ 60
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
93.9%
Common 43
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 60
 
9.1%
스 50
 
7.6%
로 35
 
5.3%
주 34
 
5.2%
사 29
 
4.4%
회 28
 
4.3%
지 28
 
4.3%
식 28
 
4.3%
류 21
 
3.2%
물 21
 
3.2%
Other values (130) 324
49.2%
Common
ValueCountFrequency (%)
31
72.1%
( 6
 
14.0%
) 6
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
85.3%
None 60
 
8.6%
ASCII 43
 
6.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 60
100.0%
Hangul
ValueCountFrequency (%)
스 50
 
8.4%
로 35
 
5.9%
주 34
 
5.7%
사 29
 
4.8%
회 28
 
4.7%
지 28
 
4.7%
식 28
 
4.7%
류 21
 
3.5%
물 21
 
3.5%
에 12
 
2.0%
Other values (129) 312
52.2%
ASCII
ValueCountFrequency (%)
31
72.1%
( 6
 
14.0%
) 6
 
14.0%

지자체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
창원시
39 
김해시
18 
양산시
17 
진주시
6 
거제시
4 
Other values (5)
11 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양산시
2nd row양산시
3rd row창원시
4th row거제시
5th row양산시

Common Values

ValueCountFrequency (%)
창원시 39
41.1%
김해시 18
18.9%
양산시 17
17.9%
진주시 6
 
6.3%
거제시 4
 
4.2%
고성군 3
 
3.2%
사천시 2
 
2.1%
통영시 2
 
2.1%
함안군 2
 
2.1%
밀양시 2
 
2.1%

Length

2023-12-11T09:26:04.662693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:26:04.775398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 39
41.1%
김해시 18
18.9%
양산시 17
17.9%
진주시 6
 
6.3%
거제시 4
 
4.2%
고성군 3
 
3.2%
사천시 2
 
2.1%
통영시 2
 
2.1%
함안군 2
 
2.1%
밀양시 2
 
2.1%

상세주소
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-11T09:26:04.998795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length21.610526
Min length8

Characters and Unicode

Total characters2053
Distinct characters195
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row산막공단북8길 9(호계동 857)
2nd row상북면 수서로 223-40
3rd row의창구 차상로150번길 102, 216호(팔용동)
4th row마전9길 6(장승포동)
5th row물금읍 제방로 285
ValueCountFrequency (%)
진해구 11
 
3.1%
의창구 10
 
2.8%
성산구 10
 
2.8%
2층 6
 
1.7%
마산합포구 4
 
1.1%
마산회원구 4
 
1.1%
북면 3
 
0.8%
동면 3
 
0.8%
9 3
 
0.8%
물금읍 3
 
0.8%
Other values (272) 298
83.9%
2023-12-11T09:26:05.394229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
12.8%
1 117
 
5.7%
2 81
 
3.9%
동 75
 
3.7%
로 75
 
3.7%
, 70
 
3.4%
0 61
 
3.0%
) 59
 
2.9%
( 59
 
2.9%
4 50
 
2.4%
Other values (185) 1144
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1066
51.9%
Decimal Number 511
24.9%
Space Separator 262
 
12.8%
Other Punctuation 70
 
3.4%
Close Punctuation 59
 
2.9%
Open Punctuation 59
 
2.9%
Dash Punctuation 23
 
1.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 75
 
7.0%
로 75
 
7.0%
길 45
 
4.2%
구 42
 
3.9%
호 42
 
3.9%
산 39
 
3.7%
면 29
 
2.7%
번 26
 
2.4%
대 20
 
1.9%
진 19
 
1.8%
Other values (167) 654
61.4%
Decimal Number
ValueCountFrequency (%)
1 117
22.9%
2 81
15.9%
0 61
11.9%
4 50
9.8%
5 44
 
8.6%
3 44
 
8.6%
6 33
 
6.5%
8 32
 
6.3%
9 30
 
5.9%
7 19
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
262
100.0%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1066
51.9%
Common 984
47.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 75
 
7.0%
로 75
 
7.0%
길 45
 
4.2%
구 42
 
3.9%
호 42
 
3.9%
산 39
 
3.7%
면 29
 
2.7%
번 26
 
2.4%
대 20
 
1.9%
진 19
 
1.8%
Other values (167) 654
61.4%
Common
ValueCountFrequency (%)
262
26.6%
1 117
11.9%
2 81
 
8.2%
, 70
 
7.1%
0 61
 
6.2%
) 59
 
6.0%
( 59
 
6.0%
4 50
 
5.1%
5 44
 
4.5%
3 44
 
4.5%
Other values (5) 137
13.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1066
51.9%
ASCII 987
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
26.5%
1 117
11.9%
2 81
 
8.2%
, 70
 
7.1%
0 61
 
6.2%
) 59
 
6.0%
( 59
 
6.0%
4 50
 
5.1%
5 44
 
4.5%
3 44
 
4.5%
Other values (8) 140
14.2%
Hangul
ValueCountFrequency (%)
동 75
 
7.0%
로 75
 
7.0%
길 45
 
4.2%
구 42
 
3.9%
호 42
 
3.9%
산 39
 
3.7%
면 29
 
2.7%
번 26
 
2.4%
대 20
 
1.9%
진 19
 
1.8%
Other values (167) 654
61.4%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct82
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51434.747
Minimum50417
Maximum53323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-11T09:26:05.531289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50417
5-th percentile50565.8
Q150863
median51371
Q351619
95-th percentile52979.9
Maximum53323
Range2906
Interquartile range (IQR)756

Descriptive statistics

Standard deviation773.90294
Coefficient of variation (CV)0.015046306
Kurtosis0.086890863
Mean51434.747
Median Absolute Deviation (MAD)439
Skewness0.93947768
Sum4886301
Variance598925.77
MonotonicityNot monotonic
2023-12-11T09:26:05.658029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51611 3
 
3.2%
50615 3
 
3.2%
51604 3
 
3.2%
50567 2
 
2.1%
52949 2
 
2.1%
51505 2
 
2.1%
50639 2
 
2.1%
51619 2
 
2.1%
51103 2
 
2.1%
51401 2
 
2.1%
Other values (72) 72
75.8%
ValueCountFrequency (%)
50417 1
1.1%
50467 1
1.1%
50503 1
1.1%
50541 1
1.1%
50563 1
1.1%
50567 2
2.1%
50568 1
1.1%
50573 1
1.1%
50583 1
1.1%
50590 1
1.1%
ValueCountFrequency (%)
53323 1
1.1%
53322 1
1.1%
53305 1
1.1%
53265 1
1.1%
53024 1
1.1%
52961 1
1.1%
52949 2
2.1%
52819 1
1.1%
52733 1
1.1%
52620 1
1.1%

최초등록일
Date

Distinct91
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum1987-11-04 00:00:00
Maximum2022-11-14 00:00:00
2023-12-11T09:26:05.779288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:05.898646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
정상
94 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 94
98.9%
휴업 1
 
1.1%

Length

2023-12-11T09:26:06.026340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:26:06.382083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 94
98.9%
휴업 1
 
1.1%

Interactions

2023-12-11T09:26:02.609959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.099090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.344126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.729381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.167472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.422423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.859726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.258218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:02.519502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:26:06.439316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호법인명지자체상세주소우편번호최초등록일구분
연번1.0000.9791.0000.0000.9310.2650.9890.114
등록번호0.9791.0001.0000.1520.9500.4000.9520.198
법인명1.0001.0001.0001.0001.0001.0001.0001.000
지자체0.0000.1521.0001.0001.0000.9420.0000.651
상세주소0.9310.9501.0001.0001.0001.0000.9970.000
우편번호0.2650.4001.0000.9421.0001.0000.0000.341
최초등록일0.9890.9521.0000.0000.9970.0001.0001.000
구분0.1140.1981.0000.6510.0000.3411.0001.000
2023-12-11T09:26:06.543249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지자체
구분1.0000.483
지자체0.4831.000
2023-12-11T09:26:06.622758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호우편번호지자체구분
연번1.0001.0000.0550.0000.077
등록번호1.0001.0000.0550.0000.077
우편번호0.0550.0551.0000.7970.328
지자체0.0000.0000.7971.0000.483
구분0.0770.0770.3280.4831.000

Missing values

2023-12-11T09:26:03.016566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:26:03.193799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번등록번호법인명지자체상세주소우편번호최초등록일구분
014(주)신한상운양산시산막공단북8길 9(호계동 857)505671993-06-01정상
125주식회사 지아이지양산시상북면 수서로 223-40505832002-01-14정상
236주식회사 윈윈종합물류창원시의창구 차상로150번길 102, 216호(팔용동)514012002-09-16정상
349거성해운(주)거제시마전9길 6(장승포동)533232002-02-20정상
4512주식회사 천경양산시물금읍 제방로 285506151987-11-04정상
5619주식회사 엘 에스 엘창원시마산회원구 무역로32(양덕동)513392007-01-22정상
6721㈜신현거제시거제시 용소1길105, 비동 4층(아주동, 칸빌딩)533222007-09-21정상
7824삼화로지스틱스 주식회사창원시마산합포구 드림베이대로 201, 301호(가포동)517142008-08-22정상
8925위더스글로벌로지스 주식회사창원시마산합포구 월영동서로7, 3층(해운동, 새마을회관빌딩)517202009-04-17정상
91028주식회사 포스텍창원시성산구 중앙대로 228번길 6, 2층(신월동, 센트랄빌딩)514392009-04-17정상
연번등록번호법인명지자체상세주소우편번호최초등록일구분
8586155주식회사 넥스트랜스양산시산막공단남6길 14(북정동)505682020-07-08정상
8687156거모티엔엘창원시성산구 상남로 35, 117-1호(새롬아이포빌)515052022-06-13정상
8788157주식회사 태송로지스창원시성산구 정동로 164, 지하16호(남산동, 창남상가)515362022-06-17정상
8889158주식회사 대청글로벌창원시진해구 용재로59번길 15, 1층(용원동)516042017-11-08정상
8990159주식회사 에스로지스진주시이반성면 진마대로 2498번길 2-63526152022-05-02정상
9091160농업법인 주식회사 케이베리진주시남강로 1689, 2층527332022-08-16정상
9192161주식회사 해솔로지스창원시의창구 사림로 47, 504호(사림동, 사림프라자)511432021-04-15정상
9293162사방물류 주식회사창원시성산구 삼정자로 63번길5(성주동)514732022-10-07정상
9394163주식회사 로얄로지스틱스김해시장유로 99-39(부곡동)509712007-12-18정상
9495164아라로지스 주식회사김해시월산로 82-58, 2층 203호(부곡동, 대동아파트상가)509812022-11-14정상