Overview

Dataset statistics

Number of variables7
Number of observations167
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory58.8 B

Variable types

Numeric2
Categorical3
Text2

Dataset

Description서울특별시 서초구 일반화물운송사업자 현황으로 업종, 업체명, 차량대수, 주사무소 주소, 운영상태에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15114960/fileData.do

Alerts

업종 has constant value ""Constant
운영상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
차량대수 has 17 (10.2%) zerosZeros

Reproduction

Analysis started2023-12-12 19:36:14.350831
Analysis finished2023-12-12 19:36:15.176921
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T04:36:15.242623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.3
Q142.5
median84
Q3125.5
95-th percentile158.7
Maximum167
Range166
Interquartile range (IQR)83

Descriptive statistics

Standard deviation48.35287
Coefficient of variation (CV)0.5756294
Kurtosis-1.2
Mean84
Median Absolute Deviation (MAD)42
Skewness0
Sum14028
Variance2338
MonotonicityStrictly increasing
2023-12-13T04:36:15.426410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
116 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (157) 157
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반화물
167 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반화물 167
100.0%

Length

2023-12-13T04:36:15.555074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:36:15.646201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 167
100.0%

업체명
Text

Distinct162
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T04:36:15.841380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.8023952
Min length4

Characters and Unicode

Total characters1303
Distinct characters177
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

Unique157 ?
Unique (%)94.0%

Sample

1st row(주)승창기업
2nd row(주)선한물류
3rd row주식회사 박스테이션
4th row주식회사 브이투브이
5th row한일엘앤씨(주)
ValueCountFrequency (%)
주식회사 6
 
3.4%
이레실업(주 2
 
1.1%
주)케이원종합물류 2
 
1.1%
유)미건로지스 2
 
1.1%
주)오씨엘 2
 
1.1%
주)모두로직스 2
 
1.1%
신일로지시스템(주 1
 
0.6%
동원로엑스(주 1
 
0.6%
주)세종기업물류 1
 
0.6%
경림물류(주 1
 
0.6%
Other values (154) 154
88.5%
2023-12-13T04:36:16.254045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 153
 
11.7%
( 147
 
11.3%
) 147
 
11.3%
스 44
 
3.4%
물 42
 
3.2%
운 37
 
2.8%
이 27
 
2.1%
류 27
 
2.1%
수 26
 
2.0%
로 26
 
2.0%
Other values (167) 627
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
76.9%
Open Punctuation 147
 
11.3%
Close Punctuation 147
 
11.3%
Space Separator 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 153
 
15.3%
스 44
 
4.4%
물 42
 
4.2%
운 37
 
3.7%
이 27
 
2.7%
류 27
 
2.7%
수 26
 
2.6%
로 26
 
2.6%
지 26
 
2.6%
동 24
 
2.4%
Other values (164) 570
56.9%
Open Punctuation
ValueCountFrequency (%)
( 147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 147
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1002
76.9%
Common 301
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 153
 
15.3%
스 44
 
4.4%
물 42
 
4.2%
운 37
 
3.7%
이 27
 
2.7%
류 27
 
2.7%
수 26
 
2.6%
로 26
 
2.6%
지 26
 
2.6%
동 24
 
2.4%
Other values (164) 570
56.9%
Common
ValueCountFrequency (%)
( 147
48.8%
) 147
48.8%
7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1002
76.9%
ASCII 301
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 153
 
15.3%
스 44
 
4.4%
물 42
 
4.2%
운 37
 
3.7%
이 27
 
2.7%
류 27
 
2.7%
수 26
 
2.6%
로 26
 
2.6%
지 26
 
2.6%
동 24
 
2.4%
Other values (164) 570
56.9%
ASCII
ValueCountFrequency (%)
( 147
48.8%
) 147
48.8%
7
 
2.3%

차량대수
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.233533
Minimum0
Maximum299
Zeros17
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T04:36:16.415943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q332
95-th percentile74.5
Maximum299
Range299
Interquartile range (IQR)30

Descriptive statistics

Standard deviation34.368125
Coefficient of variation (CV)1.4792466
Kurtosis25.993699
Mean23.233533
Median Absolute Deviation (MAD)13
Skewness4.0874569
Sum3880
Variance1181.168
MonotonicityNot monotonic
2023-12-13T04:36:16.581067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 22
 
13.2%
0 17
 
10.2%
2 14
 
8.4%
33 5
 
3.0%
3 5
 
3.0%
4 5
 
3.0%
21 5
 
3.0%
5 4
 
2.4%
7 4
 
2.4%
15 4
 
2.4%
Other values (51) 82
49.1%
ValueCountFrequency (%)
0 17
10.2%
1 22
13.2%
2 14
8.4%
3 5
 
3.0%
4 5
 
3.0%
5 4
 
2.4%
6 3
 
1.8%
7 4
 
2.4%
10 3
 
1.8%
11 2
 
1.2%
ValueCountFrequency (%)
299 1
0.6%
146 1
0.6%
142 1
0.6%
123 1
0.6%
119 1
0.6%
92 1
0.6%
85 1
0.6%
80 1
0.6%
76 1
0.6%
71 1
0.6%

주사무소 주소
Text

Distinct97
Distinct (%)58.4%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-13T04:36:16.948101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length17.680723
Min length11

Characters and Unicode

Total characters2935
Distinct characters104
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

Unique64 ?
Unique (%)38.6%

Sample

1st row서울특별시 서초구 서초대로40길 49
2nd row서울특별시 서초구 양재대로11길 36
3rd row서울특별시 서초구 양재천로 109
4th row서울특별시 서초구 강남대로 331
5th row서울특별시 서초구 효령로 275
ValueCountFrequency (%)
서울특별시 149
23.2%
서초구 149
23.2%
36 14
 
2.2%
경기도 11
 
1.7%
동산로 10
 
1.6%
서초동 8
 
1.2%
서운로 8
 
1.2%
양재대로11길 7
 
1.1%
효령로53길 7
 
1.1%
서초중앙로 7
 
1.1%
Other values (147) 273
42.5%
2023-12-13T04:36:17.477147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
16.3%
서 335
 
11.4%
초 177
 
6.0%
시 164
 
5.6%
구 154
 
5.2%
특 149
 
5.1%
별 149
 
5.1%
울 149
 
5.1%
로 135
 
4.6%
1 96
 
3.3%
Other values (94) 950
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1982
67.5%
Space Separator 477
 
16.3%
Decimal Number 451
 
15.4%
Dash Punctuation 21
 
0.7%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 335
16.9%
초 177
 
8.9%
시 164
 
8.3%
구 154
 
7.8%
특 149
 
7.5%
별 149
 
7.5%
울 149
 
7.5%
로 135
 
6.8%
길 64
 
3.2%
동 43
 
2.2%
Other values (79) 463
23.4%
Decimal Number
ValueCountFrequency (%)
1 96
21.3%
3 62
13.7%
2 59
13.1%
5 47
10.4%
6 45
10.0%
8 38
 
8.4%
4 31
 
6.9%
9 30
 
6.7%
0 25
 
5.5%
7 18
 
4.0%
Space Separator
ValueCountFrequency (%)
477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1982
67.5%
Common 953
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 335
16.9%
초 177
 
8.9%
시 164
 
8.3%
구 154
 
7.8%
특 149
 
7.5%
별 149
 
7.5%
울 149
 
7.5%
로 135
 
6.8%
길 64
 
3.2%
동 43
 
2.2%
Other values (79) 463
23.4%
Common
ValueCountFrequency (%)
477
50.1%
1 96
 
10.1%
3 62
 
6.5%
2 59
 
6.2%
5 47
 
4.9%
6 45
 
4.7%
8 38
 
4.0%
4 31
 
3.3%
9 30
 
3.1%
0 25
 
2.6%
Other values (5) 43
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1982
67.5%
ASCII 953
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
50.1%
1 96
 
10.1%
3 62
 
6.5%
2 59
 
6.2%
5 47
 
4.9%
6 45
 
4.7%
8 38
 
4.0%
4 31
 
3.3%
9 30
 
3.1%
0 25
 
2.6%
Other values (5) 43
 
4.5%
Hangul
ValueCountFrequency (%)
서 335
16.9%
초 177
 
8.9%
시 164
 
8.3%
구 154
 
7.8%
특 149
 
7.5%
별 149
 
7.5%
울 149
 
7.5%
로 135
 
6.8%
길 64
 
3.2%
동 43
 
2.2%
Other values (79) 463
23.4%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
운영중
167 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 167
100.0%

Length

2023-12-13T04:36:17.622115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:36:17.734713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 167
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-06-21
167 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-21
2nd row2023-06-21
3rd row2023-06-21
4th row2023-06-21
5th row2023-06-21

Common Values

ValueCountFrequency (%)
2023-06-21 167
100.0%

Length

2023-12-13T04:36:17.827963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:36:17.919911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-21 167
100.0%

Interactions

2023-12-13T04:36:14.798080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:14.603494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:14.898056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:14.699705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:36:17.982482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번차량대수주사무소 주소
연번1.0000.1990.763
차량대수0.1991.0000.912
주사무소 주소0.7630.9121.000
2023-12-13T04:36:18.067980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번차량대수
연번1.000-0.349
차량대수-0.3491.000

Missing values

2023-12-13T04:36:15.021756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:36:15.133507image/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

연번업종업체명차량대수주사무소 주소운영상태데이터기준일자
01일반화물(주)승창기업2서울특별시 서초구 서초대로40길 49운영중2023-06-21
12일반화물(주)선한물류2서울특별시 서초구 양재대로11길 36운영중2023-06-21
23일반화물주식회사 박스테이션2서울특별시 서초구 양재천로 109운영중2023-06-21
34일반화물주식회사 브이투브이16서울특별시 서초구 강남대로 331운영중2023-06-21
45일반화물한일엘앤씨(주)57서울특별시 서초구 효령로 275운영중2023-06-21
56일반화물신기운수(주)24서울특별시 서초구 서초동운영중2023-06-21
67일반화물(주)신행운수60서울특별시 서초구 효령로55길 22운영중2023-06-21
78일반화물안진운수(주)41서울특별시 서초구 방배로 83운영중2023-06-21
89일반화물양지운수(주)13서울특별시 서초구 효령로 307운영중2023-06-21
910일반화물(주)영신28서울특별시 서초구 효령로 229운영중2023-06-21
연번업종업체명차량대수주사무소 주소운영상태데이터기준일자
157158일반화물로지스팟(주)7서울특별시 서초구 사임당로 174운영중2023-06-21
158159일반화물유한회사 해성로지스17서울특별시 서초구 서운로 19운영중2023-06-21
159160일반화물주식회사 조선미2서울특별시 서초구 강남대로 27운영중2023-06-21
160161일반화물(주)버킷플레이스21서울특별시 서초구 서초대로74길 4운영중2023-06-21
161162일반화물경봉실업(주)3서울특별시 서초구 반포대로 122운영중2023-06-21
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