Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.1 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description인천광역시 계양구 일반화물자동차운송사업자 현황에 대한 데이터로서, 연번, 업체명, 주소, 사업의 종류, 영업상태등을 포함하고 있는 데이터파일입니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15114957&srcSe=7661IVAWM27C61E190

Alerts

사업의 종류 has constant value ""Constant
영업상태 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:17:58.124801
Analysis finished2024-01-28 09:17:58.480601
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-01-28T18:17:58.531887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-01-28T18:17:58.624648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

업체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-01-28T18:17:58.800370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.90625
Min length5

Characters and Unicode

Total characters221
Distinct characters67
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

Unique32 ?
Unique (%)100.0%

Sample

1st row㈜이원물류
2nd row승진특수레카㈜
3rd row㈜우인종합물류 인천지점
4th row금성상운㈜
5th row플라이물류㈜
ValueCountFrequency (%)
㈜이원물류 1
 
3.0%
㈜엠제이물류 1
 
3.0%
부광기업(주 1
 
3.0%
㈜제이케이물류 1
 
3.0%
㈜수길렉카 1
 
3.0%
주)가온로지스 1
 
3.0%
㈜다인종합물류 1
 
3.0%
주)보경이엠케이 1
 
3.0%
주)한도운수 1
 
3.0%
주)지아특송 1
 
3.0%
Other values (23) 23
69.7%
2024-01-28T18:17:59.087980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 25
 
11.3%
류 13
 
5.9%
물 13
 
5.9%
스 11
 
5.0%
이 11
 
5.0%
지 9
 
4.1%
로 8
 
3.6%
종 7
 
3.2%
) 7
 
3.2%
( 7
 
3.2%
Other values (57) 110
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
81.4%
Other Symbol 25
 
11.3%
Close Punctuation 7
 
3.2%
Open Punctuation 7
 
3.2%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 13
 
7.2%
물 13
 
7.2%
스 11
 
6.1%
이 11
 
6.1%
지 9
 
5.0%
로 8
 
4.4%
종 7
 
3.9%
수 6
 
3.3%
주 6
 
3.3%
합 5
 
2.8%
Other values (53) 91
50.6%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
92.8%
Common 16
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 25
 
12.2%
류 13
 
6.3%
물 13
 
6.3%
스 11
 
5.4%
이 11
 
5.4%
지 9
 
4.4%
로 8
 
3.9%
종 7
 
3.4%
수 6
 
2.9%
주 6
 
2.9%
Other values (54) 96
46.8%
Common
ValueCountFrequency (%)
) 7
43.8%
( 7
43.8%
2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
81.4%
None 25
 
11.3%
ASCII 16
 
7.2%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 25
100.0%
Hangul
ValueCountFrequency (%)
류 13
 
7.2%
물 13
 
7.2%
스 11
 
6.1%
이 11
 
6.1%
지 9
 
5.0%
로 8
 
4.4%
종 7
 
3.9%
수 6
 
3.3%
주 6
 
3.3%
합 5
 
2.8%
Other values (53) 91
50.6%
ASCII
ValueCountFrequency (%)
) 7
43.8%
( 7
43.8%
2
 
12.5%

주소
Text

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-01-28T18:17:59.300967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length34.90625
Min length23

Characters and Unicode

Total characters1117
Distinct characters80
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

Unique17 ?
Unique (%)53.1%

Sample

1st row인천광역시 계양구 아나지로 528(서운동)
2nd row인천광역시 계양구 아나지로 260, 2층(작전동)
3rd row인천광역시 계양구 계양문화로 86 (용종동, 대우프라자)
4th row인천광역시 계양구 계양문화로 86, 410호 (용종동, 대우프라자)
5th row인천광역시 계양구 계산새로 71, 씨동 1003호(계산동, 하이베라스)
ValueCountFrequency (%)
인천광역시 32
 
16.6%
계양구 32
 
16.6%
계양문화로 8
 
4.1%
86 7
 
3.6%
계산새로 7
 
3.6%
대우프라자 6
 
3.1%
71 6
 
3.1%
용종동 5
 
2.6%
아나지로 4
 
2.1%
하이베라스 4
 
2.1%
Other values (57) 82
42.5%
2024-01-28T18:17:59.617480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
14.4%
계 62
 
5.6%
, 50
 
4.5%
양 41
 
3.7%
동 40
 
3.6%
1 37
 
3.3%
인 32
 
2.9%
광 32
 
2.9%
역 32
 
2.9%
시 32
 
2.9%
Other values (70) 598
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 669
59.9%
Decimal Number 168
 
15.0%
Space Separator 161
 
14.4%
Other Punctuation 50
 
4.5%
Open Punctuation 32
 
2.9%
Close Punctuation 32
 
2.9%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 62
 
9.3%
양 41
 
6.1%
동 40
 
6.0%
인 32
 
4.8%
광 32
 
4.8%
역 32
 
4.8%
시 32
 
4.8%
구 32
 
4.8%
천 32
 
4.8%
로 31
 
4.6%
Other values (55) 303
45.3%
Decimal Number
ValueCountFrequency (%)
1 37
22.0%
0 23
13.7%
2 22
13.1%
5 20
11.9%
4 16
9.5%
8 13
 
7.7%
6 13
 
7.7%
7 9
 
5.4%
3 8
 
4.8%
9 7
 
4.2%
Space Separator
ValueCountFrequency (%)
161
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 669
59.9%
Common 448
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 62
 
9.3%
양 41
 
6.1%
동 40
 
6.0%
인 32
 
4.8%
광 32
 
4.8%
역 32
 
4.8%
시 32
 
4.8%
구 32
 
4.8%
천 32
 
4.8%
로 31
 
4.6%
Other values (55) 303
45.3%
Common
ValueCountFrequency (%)
161
35.9%
, 50
 
11.2%
1 37
 
8.3%
( 32
 
7.1%
) 32
 
7.1%
0 23
 
5.1%
2 22
 
4.9%
5 20
 
4.5%
4 16
 
3.6%
8 13
 
2.9%
Other values (5) 42
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 669
59.9%
ASCII 448
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
35.9%
, 50
 
11.2%
1 37
 
8.3%
( 32
 
7.1%
) 32
 
7.1%
0 23
 
5.1%
2 22
 
4.9%
5 20
 
4.5%
4 16
 
3.6%
8 13
 
2.9%
Other values (5) 42
 
9.4%
Hangul
ValueCountFrequency (%)
계 62
 
9.3%
양 41
 
6.1%
동 40
 
6.0%
인 32
 
4.8%
광 32
 
4.8%
역 32
 
4.8%
시 32
 
4.8%
구 32
 
4.8%
천 32
 
4.8%
로 31
 
4.6%
Other values (55) 303
45.3%

사업의 종류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
일반화물
32 

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 32
100.0%

Length

2024-01-28T18:17:59.723298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:17:59.794176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 32
100.0%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
운영
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 32
100.0%

Length

2024-01-28T18:18:00.129761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:18:00.206201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 32
100.0%

Interactions

2024-01-28T18:17:58.282604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:18:00.254332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주소
연번1.0001.0000.632
업체명1.0001.0001.000
주소0.6321.0001.000

Missing values

2024-01-28T18:17:58.382269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:17:58.454010image/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

연번업체명주소사업의 종류영업상태
01㈜이원물류인천광역시 계양구 아나지로 528(서운동)일반화물운영
12승진특수레카㈜인천광역시 계양구 아나지로 260, 2층(작전동)일반화물운영
23㈜우인종합물류 인천지점인천광역시 계양구 계양문화로 86 (용종동, 대우프라자)일반화물운영
34금성상운㈜인천광역시 계양구 계양문화로 86, 410호 (용종동, 대우프라자)일반화물운영
45플라이물류㈜인천광역시 계양구 계산새로 71, 씨동 1003호(계산동, 하이베라스)일반화물운영
56백마특수렉카㈜인천광역시 계양구 도두리로25-1, 505호(계산동,대양나이스빌)일반화물운영
67㈜용종특수운수인천광역시 계양구 계양문화로 86 (용종동, 대우프라자)일반화물운영
78광천물류㈜인천광역시 계양구 계산새로 71, 씨동 1003호(계산동, 하이베라스)일반화물운영
89㈜한아름종합물류인천광역시 계양구 계산새로 71, 하이베라스 디동 1203호(계동)일반화물운영
910㈜인천물류인천광역시 계양구 계산새로 71,디동 1203호(계산동, 하이베라스)일반화물운영
연번업체명주소사업의 종류영업상태
2223(주)에이원로지스틱스인천광역시 계양구 계산새로 71, 씨동 901-1호(계산동,하이베라스)일반화물운영
2324(주)지아특송인천광역시 계양구 아나지로 260, 2층(작전동)일반화물운영
2425(주)한도운수인천광역시 계양구 장제로 1259, 2층(장기동)일반화물운영
2526(주)보경이엠케이인천광역시 계양구 계산새로 71, 디동 1205호(계산동, 하이베라스빌딩)일반화물운영
2627㈜다인종합물류인천광역시 계양구 계산새로 71, 씨동 901-1호(계산동,하이베라스)일반화물운영
2728(주)가온로지스인천광역시 계양구 용종로96번길 5, 2층 201호(용종동, 용종빌딩)일반화물운영
2829㈜수길렉카인천광역시 계양구 계산새로5번길 6-12(계산동)일반화물운영
2930㈜제이케이물류인천광역시 계양구 장제로743번길 2, 상가동 지하115호(작전동)일반화물운영
3031부광기업(주)인천광역시 계양구 주부토로 467, 2층 202-2호(작전동)일반화물운영
3132(유)동진로직스인천광역시 계양구 계양문화로 86, 408호 일부 (용종동, 대우프라자)일반화물운영