Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory52.6 B

Variable types

Numeric1
Text3
DateTime1
Categorical1

Dataset

Description광주광역시 국제물류주선업에 관한 데이터로 상호, 대표자, 주사무소, 최초(변경)일, 자본금의 정보를 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15101153/fileData.do

Alerts

자본금 is highly imbalanced (81.7%)Imbalance
등록번호 has unique valuesUnique
상호 has unique valuesUnique
대표자 has unique valuesUnique
주사무소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:18:15.835563
Analysis finished2024-03-14 18:18:17.353141
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T03:18:17.543252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2024-03-15T03:18:17.967061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

상호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-03-15T03:18:18.752328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.2777778
Min length5

Characters and Unicode

Total characters298
Distinct characters80
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

Unique36 ?
Unique (%)100.0%

Sample

1st row(유)동국상운
2nd row㈜에이원로지스틱
3rd row(유)고고
4th row케스터로지스㈜
5th row서희물류 주식회사
ValueCountFrequency (%)
유한회사 7
 
14.3%
주식회사 6
 
12.2%
유)동국상운 1
 
2.0%
야스텍글로벌 1
 
2.0%
위고 1
 
2.0%
탑물류 1
 
2.0%
시원냉동물류 1
 
2.0%
엔에스엘코퍼레이션 1
 
2.0%
부경물류 1
 
2.0%
천진물류 1
 
2.0%
Other values (28) 28
57.1%
2024-03-15T03:18:19.842690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 17
 
5.7%
류 17
 
5.7%
유 17
 
5.7%
사 16
 
5.4%
회 16
 
5.4%
스 15
 
5.0%
13
 
4.4%
지 11
 
3.7%
주 11
 
3.7%
로 11
 
3.7%
Other values (70) 154
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
85.9%
Space Separator 13
 
4.4%
Close Punctuation 10
 
3.4%
Open Punctuation 10
 
3.4%
Other Symbol 9
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 17
 
6.6%
류 17
 
6.6%
유 17
 
6.6%
사 16
 
6.2%
회 16
 
6.2%
스 15
 
5.9%
지 11
 
4.3%
주 11
 
4.3%
로 11
 
4.3%
식 8
 
3.1%
Other values (66) 117
45.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 265
88.9%
Common 33
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 17
 
6.4%
류 17
 
6.4%
유 17
 
6.4%
사 16
 
6.0%
회 16
 
6.0%
스 15
 
5.7%
지 11
 
4.2%
주 11
 
4.2%
로 11
 
4.2%
㈜ 9
 
3.4%
Other values (67) 125
47.2%
Common
ValueCountFrequency (%)
13
39.4%
) 10
30.3%
( 10
30.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
85.9%
ASCII 33
 
11.1%
None 9
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 17
 
6.6%
류 17
 
6.6%
유 17
 
6.6%
사 16
 
6.2%
회 16
 
6.2%
스 15
 
5.9%
지 11
 
4.3%
주 11
 
4.3%
로 11
 
4.3%
식 8
 
3.1%
Other values (66) 117
45.7%
ASCII
ValueCountFrequency (%)
13
39.4%
) 10
30.3%
( 10
30.3%
None
ValueCountFrequency (%)
㈜ 9
100.0%

대표자
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-03-15T03:18:20.656685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.25
Min length2

Characters and Unicode

Total characters117
Distinct characters69
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row양동국
2nd row손문태
3rd row양희승
4th row윤여진
5th row서주혜
ValueCountFrequency (%)
김소연 2
 
5.3%
양동국 1
 
2.6%
오강현 1
 
2.6%
류수연 1
 
2.6%
김란 1
 
2.6%
윤병훈 1
 
2.6%
이진아 1
 
2.6%
이춘희 1
 
2.6%
조은강 1
 
2.6%
임서우 1
 
2.6%
Other values (27) 27
71.1%
2024-03-15T03:18:22.366669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
6.0%
윤 4
 
3.4%
연 4
 
3.4%
이 4
 
3.4%
승 3
 
2.6%
성 3
 
2.6%
서 3
 
2.6%
수 3
 
2.6%
양 3
 
2.6%
현 3
 
2.6%
Other values (59) 80
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
96.6%
Other Punctuation 2
 
1.7%
Space Separator 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
6.2%
윤 4
 
3.5%
연 4
 
3.5%
이 4
 
3.5%
승 3
 
2.7%
성 3
 
2.7%
서 3
 
2.7%
수 3
 
2.7%
양 3
 
2.7%
현 3
 
2.7%
Other values (57) 76
67.3%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
96.6%
Common 4
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
6.2%
윤 4
 
3.5%
연 4
 
3.5%
이 4
 
3.5%
승 3
 
2.7%
성 3
 
2.7%
서 3
 
2.7%
수 3
 
2.7%
양 3
 
2.7%
현 3
 
2.7%
Other values (57) 76
67.3%
Common
ValueCountFrequency (%)
, 2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
96.6%
ASCII 4
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
6.2%
윤 4
 
3.5%
연 4
 
3.5%
이 4
 
3.5%
승 3
 
2.7%
성 3
 
2.7%
서 3
 
2.7%
수 3
 
2.7%
양 3
 
2.7%
현 3
 
2.7%
Other values (57) 76
67.3%
ASCII
ValueCountFrequency (%)
, 2
50.0%
2
50.0%

주사무소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-03-15T03:18:23.556374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31.5
Mean length27.444444
Min length19

Characters and Unicode

Total characters988
Distinct characters117
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

Unique36 ?
Unique (%)100.0%

Sample

1st row광산구 사암로 216번길 10-11 (우산동 1585-2)
2nd row광산구 수완로12번길 13, 3층(수완동 1769)
3rd row서구 월드컵4강로 116번길 2 (5층)(화정동 336-3)
4th row서구 매월2로 53, 13동 230호(매월동) (광주산업용재유통센터)
5th row광산구 손재로 327, 205호(하남동)
ValueCountFrequency (%)
광산구 26
 
15.4%
광주광역시 19
 
11.2%
서구 5
 
3.0%
손재로 4
 
2.4%
사암로 3
 
1.8%
2층 3
 
1.8%
북구 3
 
1.8%
327 2
 
1.2%
화물공영차고지 2
 
1.2%
57 2
 
1.2%
Other values (99) 100
59.2%
2024-03-15T03:18:25.074586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
13.5%
광 66
 
6.7%
2 44
 
4.5%
1 42
 
4.3%
산 37
 
3.7%
구 34
 
3.4%
로 34
 
3.4%
동 34
 
3.4%
( 30
 
3.0%
) 30
 
3.0%
Other values (107) 504
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
54.4%
Decimal Number 215
21.8%
Space Separator 133
 
13.5%
Open Punctuation 30
 
3.0%
Close Punctuation 30
 
3.0%
Other Punctuation 28
 
2.8%
Dash Punctuation 13
 
1.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 66
 
12.3%
산 37
 
6.9%
구 34
 
6.3%
로 34
 
6.3%
동 34
 
6.3%
주 22
 
4.1%
역 19
 
3.5%
시 19
 
3.5%
번 17
 
3.2%
길 15
 
2.8%
Other values (91) 240
44.7%
Decimal Number
ValueCountFrequency (%)
2 44
20.5%
1 42
19.5%
0 25
11.6%
3 25
11.6%
5 20
9.3%
4 17
 
7.9%
6 15
 
7.0%
9 10
 
4.7%
8 9
 
4.2%
7 8
 
3.7%
Space Separator
ValueCountFrequency (%)
133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
54.4%
Common 449
45.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 66
 
12.3%
산 37
 
6.9%
구 34
 
6.3%
로 34
 
6.3%
동 34
 
6.3%
주 22
 
4.1%
역 19
 
3.5%
시 19
 
3.5%
번 17
 
3.2%
길 15
 
2.8%
Other values (91) 240
44.7%
Common
ValueCountFrequency (%)
133
29.6%
2 44
 
9.8%
1 42
 
9.4%
( 30
 
6.7%
) 30
 
6.7%
, 28
 
6.2%
0 25
 
5.6%
3 25
 
5.6%
5 20
 
4.5%
4 17
 
3.8%
Other values (5) 55
12.2%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
54.4%
ASCII 451
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
29.5%
2 44
 
9.8%
1 42
 
9.3%
( 30
 
6.7%
) 30
 
6.7%
, 28
 
6.2%
0 25
 
5.5%
3 25
 
5.5%
5 20
 
4.4%
4 17
 
3.8%
Other values (6) 57
12.6%
Hangul
ValueCountFrequency (%)
광 66
 
12.3%
산 37
 
6.9%
구 34
 
6.3%
로 34
 
6.3%
동 34
 
6.3%
주 22
 
4.1%
역 19
 
3.5%
시 19
 
3.5%
번 17
 
3.2%
길 15
 
2.8%
Other values (91) 240
44.7%

최초(변경)등록일
Date

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size416.0 B
Minimum2006-01-18 00:00:00
Maximum2024-01-03 00:00:00
2024-03-15T03:18:25.408699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:18:25.650956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
3억원
35 
49억원
 
1

Length

Max length4
Median length3
Mean length3.0277778
Min length3

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row3억원
2nd row3억원
3rd row3억원
4th row3억원
5th row3억원

Common Values

ValueCountFrequency (%)
3억원 35
97.2%
49억원 1
 
2.8%

Length

2024-03-15T03:18:25.880869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:18:26.068743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3억원 35
97.2%
49억원 1
 
2.8%

Interactions

2024-03-15T03:18:16.284945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:18:26.185299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호상호대표자주사무소최초(변경)등록일자본금
등록번호1.0001.0001.0001.0000.9620.000
상호1.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.000
주사무소1.0001.0001.0001.0001.0001.000
최초(변경)등록일0.9621.0001.0001.0001.0001.000
자본금0.0001.0001.0001.0001.0001.000
2024-03-15T03:18:26.368014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호자본금
등록번호1.0000.243
자본금0.2431.000

Missing values

2024-03-15T03:18:16.640290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:18:17.216550image/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

등록번호상호대표자주사무소최초(변경)등록일자본금
01(유)동국상운양동국광산구 사암로 216번길 10-11 (우산동 1585-2)2006-01-183억원
12㈜에이원로지스틱손문태광산구 수완로12번길 13, 3층(수완동 1769)2022-04-213억원
23(유)고고양희승서구 월드컵4강로 116번길 2 (5층)(화정동 336-3)2013-05-293억원
34케스터로지스㈜윤여진서구 매월2로 53, 13동 230호(매월동) (광주산업용재유통센터)2013-08-073억원
45서희물류 주식회사서주혜광산구 손재로 327, 205호(하남동)2014-11-053억원
56광주삼도물류㈜최성욱광주 광산구 사암로27번길 42-20, 101동 201호(신촌동, 신촌힐파크)2016-10-313억원
67태웅티엘에스㈜박종호광산구 풍영철길로 15, 605(우산동, 콜럼버스월드)2013-09-113억원
78글로벌로지스정성원광산구 소촌로85번길 50(소촌동)2020-03-103억원
89주식회사운창로지텍최광열서구 금부로95번길 46, 1층(쌍촌동)2021-04-163억원
910유한회사지엘로지스황수연광산구 도천남길 41-31(도천동)2016-03-093억원
등록번호상호대표자주사무소최초(변경)등록일자본금
2627주식회사 위고잉현정광주광역시 북구 첨단과기로 208번길 43-22(오룡동)2021-12-013억원
2728(유)스타물류조은강광주광역시 진곡산단3번로52, 204호(오선동)2022-02-083억원
2829(유)대현물류이경민광주광역시 광산구 사암로851 2층2022-03-083억원
2930㈜아이비티남상규광주광역시 북구 첨단벤처소로 38번길 22022-05-233억원
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