Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory52.1 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description국제물류주선업 현황입니다(상호, 주소, 전화번호 등) □ 사업개요 ❍ 타인의 수요에 따라 자기의 명의와 책임으로 타인의 물류시설 운송수단 등을 이용하여 수출입화물의 물류를 주선하는 사업 ∙ 물류정책기본법 제43조, 44조 및 동법 시행령 제30조의2, 시행규칙 제5조
URLhttps://www.data.go.kr/data/15077218/fileData.do

Alerts

번호 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:39:06.232824
Analysis finished2023-12-12 00:39:06.720053
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:39:06.776788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-12T09:39:06.876189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

업체명
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:39:07.050929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.6666667
Min length5

Characters and Unicode

Total characters406
Distinct characters98
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

Unique40 ?
Unique (%)95.2%

Sample

1st row(주) 삼우에스엔티
2nd row(주)유원항운
3rd row주식회사 청마물류
4th row주식회사 창대로지스틱
5th row중앙운송서비스(주)
ValueCountFrequency (%)
주식회사 30
40.0%
유한회사 2
 
2.7%
국민트랜스컨테이너사업부 2
 
2.7%
주)대현물류 1
 
1.3%
주)와이지비에스 1
 
1.3%
삼우에스엔티 1
 
1.3%
지엘 1
 
1.3%
복된화물 1
 
1.3%
이콰리 1
 
1.3%
천일로직스 1
 
1.3%
Other values (34) 34
45.3%
2023-12-12T09:39:07.367215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
 
9.6%
사 35
 
8.6%
33
 
8.1%
회 32
 
7.9%
식 30
 
7.4%
스 24
 
5.9%
지 11
 
2.7%
로 10
 
2.5%
에 10
 
2.5%
( 8
 
2.0%
Other values (88) 174
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
87.9%
Space Separator 33
 
8.1%
Open Punctuation 8
 
2.0%
Close Punctuation 8
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
10.9%
사 35
 
9.8%
회 32
 
9.0%
식 30
 
8.4%
스 24
 
6.7%
지 11
 
3.1%
로 10
 
2.8%
에 10
 
2.8%
이 7
 
2.0%
유 7
 
2.0%
Other values (85) 152
42.6%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
87.9%
Common 49
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
10.9%
사 35
 
9.8%
회 32
 
9.0%
식 30
 
8.4%
스 24
 
6.7%
지 11
 
3.1%
로 10
 
2.8%
에 10
 
2.8%
이 7
 
2.0%
유 7
 
2.0%
Other values (85) 152
42.6%
Common
ValueCountFrequency (%)
33
67.3%
( 8
 
16.3%
) 8
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
87.9%
ASCII 49
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
 
10.9%
사 35
 
9.8%
회 32
 
9.0%
식 30
 
8.4%
스 24
 
6.7%
지 11
 
3.1%
로 10
 
2.8%
에 10
 
2.8%
이 7
 
2.0%
유 7
 
2.0%
Other values (85) 152
42.6%
ASCII
ValueCountFrequency (%)
33
67.3%
( 8
 
16.3%
) 8
 
16.3%

대표자
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:39:07.567960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9761905
Min length2

Characters and Unicode

Total characters125
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row정근민
2nd row주성대
3rd row원덕희
4th row황선옥
5th row이지훈
ValueCountFrequency (%)
정원교 2
 
4.8%
이승훈 2
 
4.8%
김광련 1
 
2.4%
정근민 1
 
2.4%
김해인 1
 
2.4%
김순임 1
 
2.4%
정근택 1
 
2.4%
나희승 1
 
2.4%
김낙민 1
 
2.4%
김현수 1
 
2.4%
Other values (30) 30
71.4%
2023-12-12T09:39:07.845503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 14
 
11.2%
이 10
 
8.0%
정 6
 
4.8%
승 4
 
3.2%
훈 4
 
3.2%
상 4
 
3.2%
원 4
 
3.2%
희 4
 
3.2%
옥 3
 
2.4%
주 3
 
2.4%
Other values (47) 69
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 14
 
11.2%
이 10
 
8.0%
정 6
 
4.8%
승 4
 
3.2%
훈 4
 
3.2%
상 4
 
3.2%
원 4
 
3.2%
희 4
 
3.2%
옥 3
 
2.4%
주 3
 
2.4%
Other values (47) 69
55.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 14
 
11.2%
이 10
 
8.0%
정 6
 
4.8%
승 4
 
3.2%
훈 4
 
3.2%
상 4
 
3.2%
원 4
 
3.2%
희 4
 
3.2%
옥 3
 
2.4%
주 3
 
2.4%
Other values (47) 69
55.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 14
 
11.2%
이 10
 
8.0%
정 6
 
4.8%
승 4
 
3.2%
훈 4
 
3.2%
상 4
 
3.2%
원 4
 
3.2%
희 4
 
3.2%
옥 3
 
2.4%
주 3
 
2.4%
Other values (47) 69
55.2%

주 소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:39:08.099576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length26.285714
Min length17

Characters and Unicode

Total characters1104
Distinct characters128
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

Unique42 ?
Unique (%)100.0%

Sample

1st row대전광역시 유성구 봉명동 535번지 5호 한진오피스텔2219호 2동
2nd row대전광역시 유성구 봉명동 536-9 홍인오피스텔
3rd row대전광역시 유성구 관평동 684번지 대덕비즈센터 디동 608호
4th row대전광역시 서구 둔산동 1182번지 송전빌딩
5th row대전광역시 중구 오류동 188-15 성공빌딩 506호
ValueCountFrequency (%)
대전광역시 42
 
19.7%
유성구 18
 
8.5%
대덕구 11
 
5.2%
서구 8
 
3.8%
봉명동 6
 
2.8%
둔산동 4
 
1.9%
동구 3
 
1.4%
교촌동 2
 
0.9%
중리동 2
 
0.9%
목상동 2
 
0.9%
Other values (107) 115
54.0%
2023-12-12T09:39:08.478660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
 
17.6%
대 63
 
5.7%
동 53
 
4.8%
전 49
 
4.4%
1 49
 
4.4%
역 43
 
3.9%
시 43
 
3.9%
구 43
 
3.9%
광 42
 
3.8%
2 29
 
2.6%
Other values (118) 496
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 646
58.5%
Decimal Number 220
 
19.9%
Space Separator 194
 
17.6%
Dash Punctuation 27
 
2.4%
Close Punctuation 7
 
0.6%
Open Punctuation 7
 
0.6%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 63
 
9.8%
동 53
 
8.2%
전 49
 
7.6%
역 43
 
6.7%
시 43
 
6.7%
구 43
 
6.7%
광 42
 
6.5%
유 19
 
2.9%
성 19
 
2.9%
호 18
 
2.8%
Other values (103) 254
39.3%
Decimal Number
ValueCountFrequency (%)
1 49
22.3%
2 29
13.2%
5 28
12.7%
3 24
10.9%
6 20
9.1%
0 20
9.1%
4 17
 
7.7%
8 14
 
6.4%
9 10
 
4.5%
7 9
 
4.1%
Space Separator
ValueCountFrequency (%)
194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 646
58.5%
Common 458
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 63
 
9.8%
동 53
 
8.2%
전 49
 
7.6%
역 43
 
6.7%
시 43
 
6.7%
구 43
 
6.7%
광 42
 
6.5%
유 19
 
2.9%
성 19
 
2.9%
호 18
 
2.8%
Other values (103) 254
39.3%
Common
ValueCountFrequency (%)
194
42.4%
1 49
 
10.7%
2 29
 
6.3%
5 28
 
6.1%
- 27
 
5.9%
3 24
 
5.2%
6 20
 
4.4%
0 20
 
4.4%
4 17
 
3.7%
8 14
 
3.1%
Other values (5) 36
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 646
58.5%
ASCII 458
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
42.4%
1 49
 
10.7%
2 29
 
6.3%
5 28
 
6.1%
- 27
 
5.9%
3 24
 
5.2%
6 20
 
4.4%
0 20
 
4.4%
4 17
 
3.7%
8 14
 
3.1%
Other values (5) 36
 
7.9%
Hangul
ValueCountFrequency (%)
대 63
 
9.8%
동 53
 
8.2%
전 49
 
7.6%
역 43
 
6.7%
시 43
 
6.7%
구 43
 
6.7%
광 42
 
6.5%
유 19
 
2.9%
성 19
 
2.9%
호 18
 
2.8%
Other values (103) 254
39.3%

주사무소전화번호
Text

Distinct24
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:39:08.641905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16.5
Mean length9.7142857
Min length2

Characters and Unicode

Total characters408
Distinct characters14
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

Unique23 ?
Unique (%)54.8%

Sample

1st row없음
2nd row042 - 622 - 5761
3rd row없음
4th row042 - 615 - 4134
5th row없음
ValueCountFrequency (%)
46
34.3%
042 20
14.9%
없음 19
14.2%
070 2
 
1.5%
824 2
 
1.5%
931 1
 
0.7%
4266 1
 
0.7%
935 1
 
0.7%
8688 1
 
0.7%
321 1
 
0.7%
Other values (40) 40
29.9%
2023-12-12T09:39:08.950880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
22.5%
2 46
11.3%
- 46
11.3%
0 37
9.1%
4 36
 
8.8%
8 24
 
5.9%
1 20
 
4.9%
없 19
 
4.7%
음 19
 
4.7%
5 17
 
4.2%
Other values (4) 52
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
56.9%
Space Separator 92
 
22.5%
Dash Punctuation 46
 
11.3%
Other Letter 38
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
19.8%
0 37
15.9%
4 36
15.5%
8 24
10.3%
1 20
8.6%
5 17
 
7.3%
6 16
 
6.9%
3 16
 
6.9%
7 10
 
4.3%
9 10
 
4.3%
Other Letter
ValueCountFrequency (%)
없 19
50.0%
음 19
50.0%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 370
90.7%
Hangul 38
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
92
24.9%
2 46
12.4%
- 46
12.4%
0 37
10.0%
4 36
 
9.7%
8 24
 
6.5%
1 20
 
5.4%
5 17
 
4.6%
6 16
 
4.3%
3 16
 
4.3%
Other values (2) 20
 
5.4%
Hangul
ValueCountFrequency (%)
없 19
50.0%
음 19
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 370
90.7%
Hangul 38
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
24.9%
2 46
12.4%
- 46
12.4%
0 37
10.0%
4 36
 
9.7%
8 24
 
6.5%
1 20
 
5.4%
5 17
 
4.6%
6 16
 
4.3%
3 16
 
4.3%
Other values (2) 20
 
5.4%
Hangul
ValueCountFrequency (%)
없 19
50.0%
음 19
50.0%

등록일자
Date

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2000-09-09 00:00:00
Maximum2023-03-16 00:00:00
2023-12-12T09:39:09.081651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:39:09.201449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

Interactions

2023-12-12T09:39:06.530830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:39:09.296541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명대표자주 소주사무소전화번호등록일자
번호1.0001.0000.9781.0000.6811.000
업체명1.0001.0001.0001.0000.9791.000
대표자0.9781.0001.0001.0000.7611.000
주 소1.0001.0001.0001.0001.0001.000
주사무소전화번호0.6810.9790.7611.0001.0000.979
등록일자1.0001.0001.0001.0000.9791.000

Missing values

2023-12-12T09:39:06.608881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:39:06.688452image/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

번호업체명대표자주 소주사무소전화번호등록일자
01(주) 삼우에스엔티정근민대전광역시 유성구 봉명동 535번지 5호 한진오피스텔2219호 2동없음2000-09-09
12(주)유원항운주성대대전광역시 유성구 봉명동 536-9 홍인오피스텔042 - 622 - 57612007-12-20
23주식회사 청마물류원덕희대전광역시 유성구 관평동 684번지 대덕비즈센터 디동 608호없음2009-05-26
34주식회사 창대로지스틱황선옥대전광역시 서구 둔산동 1182번지 송전빌딩042 - 615 - 41342020-01-13
45중앙운송서비스(주)이지훈대전광역시 중구 오류동 188-15 성공빌딩 506호없음2011-04-28
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