Overview

Dataset statistics

Number of variables23
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory209.1 B

Variable types

Text2
Numeric7
Categorical14

Dataset

Description경기도 안산시의 화물운송업 현황 회사명, 전화번호, 등록차량별 구분(톤수, 차량형태 등) 데이터를 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15099295/fileData.do

Alerts

차량수송용 has constant value ""Constant
현금수송용 has constant value ""Constant
사다리차 has constant value ""Constant
고소작업차 has constant value ""Constant
크레인 has constant value ""Constant
컨테이너운반형 is highly imbalanced (79.9%)Imbalance
탱크로리 is highly imbalanced (66.2%)Imbalance
견인형 is highly imbalanced (50.0%)Imbalance
살수차 is highly imbalanced (79.9%)Imbalance
기타 is highly imbalanced (59.3%)Imbalance
덤프형 is highly imbalanced (66.3%)Imbalance
구난형 is highly imbalanced (66.2%)Imbalance
암롤트럭 is highly imbalanced (74.8%)Imbalance
밴형 is highly imbalanced (79.9%)Imbalance
업체명 has unique valuesUnique
일반형(1톤이하) has 10 (31.2%) zerosZeros
일반형(1톤초과 5톤 미만) has 2 (6.2%) zerosZeros
일반형(5톤이상) has 2 (6.2%) zerosZeros
내장자동차류 has 8 (25.0%) zerosZeros
냉장냉동형 has 11 (34.4%) zerosZeros
피견인형 has 27 (84.4%) zerosZeros

Reproduction

Analysis started2023-12-11 23:46:34.258921
Analysis finished2023-12-11 23:46:34.535134
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T08:46:34.686598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.4375
Min length3

Characters and Unicode

Total characters174
Distinct characters62
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
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 row럭키운수㈜
2nd row혜성운수㈜
3rd row㈜금강운송
4th row㈜일도물류시스템
5th row유성물류㈜
ValueCountFrequency (%)
럭키운수㈜ 1
 
3.1%
혜성운수㈜ 1
 
3.1%
㈜대원종합물류 1
 
3.1%
㈜중동운수사 1
 
3.1%
㈜에스제이로지텍 1
 
3.1%
㈜하나운수 1
 
3.1%
㈜대신물류 1
 
3.1%
㈜영훈운수 1
 
3.1%
㈜상지로지텍 1
 
3.1%
㈜선물류 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T08:46:35.028703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 32
18.4%
운 12
 
6.9%
지 11
 
6.3%
물 9
 
5.2%
수 9
 
5.2%
류 8
 
4.6%
로 7
 
4.0%
스 7
 
4.0%
성 5
 
2.9%
동 4
 
2.3%
Other values (52) 70
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
81.6%
Other Symbol 32
 
18.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 12
 
8.5%
지 11
 
7.7%
물 9
 
6.3%
수 9
 
6.3%
류 8
 
5.6%
로 7
 
4.9%
스 7
 
4.9%
성 5
 
3.5%
동 4
 
2.8%
아 3
 
2.1%
Other values (51) 67
47.2%
Other Symbol
ValueCountFrequency (%)
㈜ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 32
18.4%
운 12
 
6.9%
지 11
 
6.3%
물 9
 
5.2%
수 9
 
5.2%
류 8
 
4.6%
로 7
 
4.0%
스 7
 
4.0%
성 5
 
2.9%
동 4
 
2.3%
Other values (52) 70
40.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
81.6%
None 32
 
18.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 32
100.0%
Hangul
ValueCountFrequency (%)
운 12
 
8.5%
지 11
 
7.7%
물 9
 
6.3%
수 9
 
6.3%
류 8
 
5.6%
로 7
 
4.9%
스 7
 
4.9%
성 5
 
3.5%
동 4
 
2.8%
아 3
 
2.1%
Other values (51) 67
47.2%

전화번호
Text

Distinct25
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T08:46:35.249313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03125
Min length12

Characters and Unicode

Total characters385
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)59.4%

Sample

1st row031-491-0011
2nd row031-491-0011
3rd row031-492-1755
4th row031-439-1582
5th row031-491-3282
ValueCountFrequency (%)
031-491-0011 3
 
9.4%
031-509-5454 2
 
6.2%
031-491-2024 2
 
6.2%
031-492-1755 2
 
6.2%
031-491-9261 2
 
6.2%
031-434-6395 2
 
6.2%
02-2601-0624 1
 
3.1%
031-411-9595 1
 
3.1%
031-495-5290 1
 
3.1%
031-416-0062 1
 
3.1%
Other values (15) 15
46.9%
2023-12-12T08:46:35.596681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 67
17.4%
- 64
16.6%
0 58
15.1%
3 43
11.2%
4 42
10.9%
9 29
7.5%
2 26
 
6.8%
5 24
 
6.2%
6 11
 
2.9%
7 11
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 321
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 67
20.9%
0 58
18.1%
3 43
13.4%
4 42
13.1%
9 29
9.0%
2 26
 
8.1%
5 24
 
7.5%
6 11
 
3.4%
7 11
 
3.4%
8 10
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 67
17.4%
- 64
16.6%
0 58
15.1%
3 43
11.2%
4 42
10.9%
9 29
7.5%
2 26
 
6.8%
5 24
 
6.2%
6 11
 
2.9%
7 11
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 67
17.4%
- 64
16.6%
0 58
15.1%
3 43
11.2%
4 42
10.9%
9 29
7.5%
2 26
 
6.8%
5 24
 
6.2%
6 11
 
2.9%
7 11
 
2.9%

총 등록대수
Real number (ℝ)

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum20
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T08:46:35.744135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q126.75
median36.5
Q362
95-th percentile90.7
Maximum162
Range142
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation30.663628
Coefficient of variation (CV)0.63882558
Kurtosis4.8684589
Mean48
Median Absolute Deviation (MAD)15
Skewness1.8845263
Sum1536
Variance940.25806
MonotonicityNot monotonic
2023-12-12T08:46:35.875223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20 5
 
15.6%
32 3
 
9.4%
35 2
 
6.2%
62 2
 
6.2%
162 1
 
3.1%
44 1
 
3.1%
30 1
 
3.1%
26 1
 
3.1%
28 1
 
3.1%
69 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
20 5
15.6%
23 1
 
3.1%
24 1
 
3.1%
26 1
 
3.1%
27 1
 
3.1%
28 1
 
3.1%
30 1
 
3.1%
32 3
9.4%
35 2
 
6.2%
38 1
 
3.1%
ValueCountFrequency (%)
162 1
3.1%
94 1
3.1%
88 1
3.1%
86 1
3.1%
80 1
3.1%
76 1
3.1%
69 1
3.1%
62 2
6.2%
61 1
3.1%
58 1
3.1%

일반형(1톤이하)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.71875
Minimum0
Maximum7
Zeros10
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T08:46:36.000361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.3723457
Coefficient of variation (CV)0.87258693
Kurtosis-1.4663301
Mean2.71875
Median Absolute Deviation (MAD)2
Skewness0.15699739
Sum87
Variance5.6280242
MonotonicityNot monotonic
2023-12-12T08:46:36.120744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 10
31.2%
4 5
15.6%
5 4
 
12.5%
6 4
 
12.5%
3 3
 
9.4%
1 3
 
9.4%
2 2
 
6.2%
7 1
 
3.1%
ValueCountFrequency (%)
0 10
31.2%
1 3
 
9.4%
2 2
 
6.2%
3 3
 
9.4%
4 5
15.6%
5 4
 
12.5%
6 4
 
12.5%
7 1
 
3.1%
ValueCountFrequency (%)
7 1
 
3.1%
6 4
 
12.5%
5 4
 
12.5%
4 5
15.6%
3 3
 
9.4%
2 2
 
6.2%
1 3
 
9.4%
0 10
31.2%

일반형(1톤초과 5톤 미만)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.28125
Minimum0
Maximum131
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T08:46:36.262855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q13.75
median7.5
Q315.25
95-th percentile39.85
Maximum131
Range131
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation23.829007
Coefficient of variation (CV)1.6685519
Kurtosis19.424108
Mean14.28125
Median Absolute Deviation (MAD)5
Skewness4.1023085
Sum457
Variance567.82157
MonotonicityNot monotonic
2023-12-12T08:46:36.406711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 4
 
12.5%
2 3
 
9.4%
1 2
 
6.2%
0 2
 
6.2%
8 2
 
6.2%
6 2
 
6.2%
23 2
 
6.2%
10 2
 
6.2%
131 1
 
3.1%
12 1
 
3.1%
Other values (11) 11
34.4%
ValueCountFrequency (%)
0 2
6.2%
1 2
6.2%
2 3
9.4%
3 1
 
3.1%
4 1
 
3.1%
5 4
12.5%
6 2
6.2%
7 1
 
3.1%
8 2
6.2%
9 1
 
3.1%
ValueCountFrequency (%)
131 1
3.1%
47 1
3.1%
34 1
3.1%
29 1
3.1%
23 2
6.2%
17 1
3.1%
16 1
3.1%
15 1
3.1%
12 1
3.1%
11 1
3.1%

일반형(5톤이상)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.78125
Minimum0
Maximum48
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T08:46:36.571546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q19
median15
Q328.25
95-th percentile41.8
Maximum48
Range48
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation13.131431
Coefficient of variation (CV)0.69917768
Kurtosis-0.57932119
Mean18.78125
Median Absolute Deviation (MAD)9
Skewness0.47571707
Sum601
Variance172.43448
MonotonicityNot monotonic
2023-12-12T08:46:36.697275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
14 3
 
9.4%
0 2
 
6.2%
10 2
 
6.2%
3 2
 
6.2%
9 2
 
6.2%
20 1
 
3.1%
23 1
 
3.1%
16 1
 
3.1%
33 1
 
3.1%
13 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
0 2
6.2%
1 1
 
3.1%
3 2
6.2%
7 1
 
3.1%
8 1
 
3.1%
9 2
6.2%
10 2
6.2%
12 1
 
3.1%
13 1
 
3.1%
14 3
9.4%
ValueCountFrequency (%)
48 1
3.1%
44 1
3.1%
40 1
3.1%
36 1
3.1%
33 1
3.1%
32 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%

내장자동차류
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.125
Minimum0
Maximum11
Zeros8
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T08:46:36.821966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median2.5
Q34.25
95-th percentile8.35
Maximum11
Range11
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.9702829
Coefficient of variation (CV)0.95049054
Kurtosis0.51055573
Mean3.125
Median Absolute Deviation (MAD)2
Skewness0.94981073
Sum100
Variance8.8225806
MonotonicityNot monotonic
2023-12-12T08:46:36.934332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 8
25.0%
4 6
18.8%
1 4
12.5%
2 4
12.5%
6 3
 
9.4%
3 2
 
6.2%
7 2
 
6.2%
10 1
 
3.1%
11 1
 
3.1%
5 1
 
3.1%
ValueCountFrequency (%)
0 8
25.0%
1 4
12.5%
2 4
12.5%
3 2
 
6.2%
4 6
18.8%
5 1
 
3.1%
6 3
 
9.4%
7 2
 
6.2%
10 1
 
3.1%
11 1
 
3.1%
ValueCountFrequency (%)
11 1
 
3.1%
10 1
 
3.1%
7 2
 
6.2%
6 3
 
9.4%
5 1
 
3.1%
4 6
18.8%
3 2
 
6.2%
2 4
12.5%
1 4
12.5%
0 8
25.0%

컨테이너운반형
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
31 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
96.9%
1 1
 
3.1%

Length

2023-12-12T08:46:37.089494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:37.199872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
1 1
 
3.1%

냉장냉동형
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.34375
Minimum0
Maximum29
Zeros11
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T08:46:37.310238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.25
95-th percentile21.95
Maximum29
Range29
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation7.4945545
Coefficient of variation (CV)1.7253651
Kurtosis5.5988159
Mean4.34375
Median Absolute Deviation (MAD)1
Skewness2.4361561
Sum139
Variance56.168347
MonotonicityNot monotonic
2023-12-12T08:46:37.438364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 11
34.4%
1 6
18.8%
2 4
 
12.5%
5 2
 
6.2%
3 2
 
6.2%
17 1
 
3.1%
28 1
 
3.1%
29 1
 
3.1%
4 1
 
3.1%
9 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 11
34.4%
1 6
18.8%
2 4
 
12.5%
3 2
 
6.2%
4 1
 
3.1%
5 2
 
6.2%
9 1
 
3.1%
10 1
 
3.1%
12 1
 
3.1%
17 1
 
3.1%
ValueCountFrequency (%)
29 1
 
3.1%
28 1
 
3.1%
17 1
 
3.1%
12 1
 
3.1%
10 1
 
3.1%
9 1
 
3.1%
5 2
6.2%
4 1
 
3.1%
3 2
6.2%
2 4
12.5%

탱크로리
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
29 
1
 
2
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
90.6%
1 2
 
6.2%
9 1
 
3.1%

Length

2023-12-12T08:46:37.563805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:37.670953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
90.6%
1 2
 
6.2%
9 1
 
3.1%

견인형
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
25 
1
3 
2
 
2
5
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row5

Common Values

ValueCountFrequency (%)
0 25
78.1%
1 3
 
9.4%
2 2
 
6.2%
5 1
 
3.1%
7 1
 
3.1%

Length

2023-12-12T08:46:37.772648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:37.874409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
78.1%
1 3
 
9.4%
2 2
 
6.2%
5 1
 
3.1%
7 1
 
3.1%

피견인형
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.15625
Minimum0
Maximum21
Zeros27
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T08:46:37.966474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.25
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0169751
Coefficient of variation (CV)3.4741406
Kurtosis20.590066
Mean1.15625
Median Absolute Deviation (MAD)0
Skewness4.3945666
Sum37
Variance16.136089
MonotonicityNot monotonic
2023-12-12T08:46:38.067818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 27
84.4%
21 1
 
3.1%
2 1
 
3.1%
9 1
 
3.1%
4 1
 
3.1%
1 1
 
3.1%
ValueCountFrequency (%)
0 27
84.4%
1 1
 
3.1%
2 1
 
3.1%
4 1
 
3.1%
9 1
 
3.1%
21 1
 
3.1%
ValueCountFrequency (%)
21 1
 
3.1%
9 1
 
3.1%
4 1
 
3.1%
2 1
 
3.1%
1 1
 
3.1%
0 27
84.4%

차량수송용
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
100.0%

Length

2023-12-12T08:46:38.190082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:38.303098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

살수차
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
31 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
96.9%
1 1
 
3.1%

Length

2023-12-12T08:46:38.414772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:38.527416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
1 1
 
3.1%

현금수송용
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
100.0%

Length

2023-12-12T08:46:38.638510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:38.732238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

기타
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
28 
1
3 
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row9
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
87.5%
1 3
 
9.4%
9 1
 
3.1%

Length

2023-12-12T08:46:38.871732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:38.986377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
87.5%
1 3
 
9.4%
9 1
 
3.1%

사다리차
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
100.0%

Length

2023-12-12T08:46:39.116262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:39.230626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

고소작업차
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
100.0%

Length

2023-12-12T08:46:39.327407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:39.427112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

덤프형
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
30 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
93.8%
1 2
 
6.2%

Length

2023-12-12T08:46:39.559938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:39.664796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
93.8%
1 2
 
6.2%

구난형
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
29 
2
 
2
26
 
1

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
90.6%
2 2
 
6.2%
26 1
 
3.1%

Length

2023-12-12T08:46:39.788100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:39.899852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
90.6%
2 2
 
6.2%
26 1
 
3.1%

암롤트럭
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
30 
20
 
1
15
 
1

Length

Max length2
Median length1
Mean length1.0625
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
93.8%
20 1
 
3.1%
15 1
 
3.1%

Length

2023-12-12T08:46:40.025803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:40.144194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
93.8%
20 1
 
3.1%
15 1
 
3.1%

크레인
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
100.0%

Length

2023-12-12T08:46:40.275777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:40.406460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

밴형
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
31 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row4
5th row0

Common Values

ValueCountFrequency (%)
0 31
96.9%
4 1
 
3.1%

Length

2023-12-12T08:46:40.542166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:40.679883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
4 1
 
3.1%

Sample

업체명전화번호총 등록대수일반형(1톤이하)일반형(1톤초과 5톤 미만)일반형(5톤이상)내장자동차류컨테이너운반형냉장냉동형탱크로리견인형피견인형차량수송용살수차현금수송용기타사다리차고소작업차덤프형구난형암롤트럭크레인밴형
0럭키운수㈜031-491-001116201312000200000090000000
1혜성운수㈜031-491-00112047900000000000000000
2㈜금강운송031-492-1755583173240110000000000000
3㈜일도물류시스템031-439-15822432910500000000000004
4유성물류㈜031-491-3282401112000052100000000000
5㈜성지로지스031-491-926132112910000000000000000
6자명물류㈜031-415-8178435161430500000000000000
7㈜동명그린031-483-746720000000000000000002000
8㈜성아로지스031-495-73006251510402000000000026000
9가나물류㈜031-492-1755883294870100000000000000
업체명전화번호총 등록대수일반형(1톤이하)일반형(1톤초과 5톤 미만)일반형(5톤이상)내장자동차류컨테이너운반형냉장냉동형탱크로리견인형피견인형차량수송용살수차현금수송용기타사다리차고소작업차덤프형구난형암롤트럭크레인밴형
22㈜강산로지스031-491-2024692233660001100000000000
23㈜선물류031-491-202420081020000000000000000
24㈜상지로지텍031-509-545435452120300000000000000
25㈜영훈운수031-434-639528431430400000000000000
26㈜대신물류031-491-20292072811100000000000000
27㈜하나운수031-416-006235092240000000000000000
28㈜에스제이로지텍031-509-545432241340900000000000000
29㈜중동운수사031-434-63956261033201001000000000000
30㈜대원종합물류031-495-529026081600200000000000000
31㈜천지상운031-401-442930563401200000000000000