Overview

Dataset statistics

Number of variables5
Number of observations252
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory41.5 B

Variable types

Text2
Categorical2
Numeric1

Dataset

Description여수시에 소재한 일반화물자동차 운송사업체 등록현황으로 업체명, 면허종류, 차량대수, 주소, 운영여부 에 대한 정보를 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15114701/fileData.do

Alerts

면허종류(일반운송사업) has constant value ""Constant
운영여부 has constant value ""Constant

Reproduction

Analysis started2024-04-20 23:04:00.031734
Analysis finished2024-04-20 23:04:01.055401
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct229
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T08:04:01.810013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.2698413
Min length2

Characters and Unicode

Total characters1580
Distinct characters175
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)88.1%

Sample

1st row(유)중호물류
2nd row두성해운(주)
3rd row(유)우보물류
4th row(유)하나물류
5th row(주)서평
ValueCountFrequency (%)
김oo 11
 
4.4%
이oo 5
 
2.0%
박oo 5
 
2.0%
정oo 3
 
1.2%
일반화물 2
 
0.8%
윤oo 2
 
0.8%
최oo 2
 
0.8%
유)동양로지스 1
 
0.4%
유)일화물류 1
 
0.4%
주)그린포트 1
 
0.4%
Other values (219) 219
86.9%
2024-04-21T08:04:02.887303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 150
 
9.5%
) 150
 
9.5%
79
 
5.0%
74
 
4.7%
O 72
 
4.6%
66
 
4.2%
65
 
4.1%
47
 
3.0%
41
 
2.6%
35
 
2.2%
Other values (165) 801
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1177
74.5%
Open Punctuation 150
 
9.5%
Close Punctuation 150
 
9.5%
Uppercase Letter 76
 
4.8%
Other Symbol 22
 
1.4%
Decimal Number 3
 
0.2%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
 
6.7%
74
 
6.3%
66
 
5.6%
65
 
5.5%
47
 
4.0%
41
 
3.5%
35
 
3.0%
35
 
3.0%
30
 
2.5%
29
 
2.5%
Other values (152) 676
57.4%
Uppercase Letter
ValueCountFrequency (%)
O 72
94.7%
M 1
 
1.3%
L 1
 
1.3%
S 1
 
1.3%
C 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
7 1
33.3%
3 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Other Symbol
ValueCountFrequency (%)
22
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1199
75.9%
Common 305
 
19.3%
Latin 76
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
 
6.6%
74
 
6.2%
66
 
5.5%
65
 
5.4%
47
 
3.9%
41
 
3.4%
35
 
2.9%
35
 
2.9%
30
 
2.5%
29
 
2.4%
Other values (153) 698
58.2%
Common
ValueCountFrequency (%)
( 150
49.2%
) 150
49.2%
1
 
0.3%
1 1
 
0.3%
7 1
 
0.3%
& 1
 
0.3%
3 1
 
0.3%
Latin
ValueCountFrequency (%)
O 72
94.7%
M 1
 
1.3%
L 1
 
1.3%
S 1
 
1.3%
C 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1177
74.5%
ASCII 381
 
24.1%
None 22
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 150
39.4%
) 150
39.4%
O 72
18.9%
M 1
 
0.3%
L 1
 
0.3%
S 1
 
0.3%
C 1
 
0.3%
1
 
0.3%
1 1
 
0.3%
7 1
 
0.3%
Other values (2) 2
 
0.5%
Hangul
ValueCountFrequency (%)
79
 
6.7%
74
 
6.3%
66
 
5.6%
65
 
5.5%
47
 
4.0%
41
 
3.5%
35
 
3.0%
35
 
3.0%
30
 
2.5%
29
 
2.5%
Other values (152) 676
57.4%
None
ValueCountFrequency (%)
22
100.0%

면허종류(일반운송사업)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
일반화물
252 

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 252
100.0%

Length

2024-04-21T08:04:03.111304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:04:03.267463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 252
100.0%
Distinct47
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.742063
Minimum1
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T08:04:03.446447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q312.25
95-th percentile44.45
Maximum171
Range170
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation22.565199
Coefficient of variation (CV)1.9217405
Kurtosis19.7773
Mean11.742063
Median Absolute Deviation (MAD)2
Skewness4.0614332
Sum2959
Variance509.18818
MonotonicityNot monotonic
2024-04-21T08:04:03.702492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 81
32.1%
2 41
16.3%
4 14
 
5.6%
3 12
 
4.8%
7 10
 
4.0%
20 8
 
3.2%
6 7
 
2.8%
9 7
 
2.8%
10 6
 
2.4%
5 5
 
2.0%
Other values (37) 61
24.2%
ValueCountFrequency (%)
1 81
32.1%
2 41
16.3%
3 12
 
4.8%
4 14
 
5.6%
5 5
 
2.0%
6 7
 
2.8%
7 10
 
4.0%
8 1
 
0.4%
9 7
 
2.8%
10 6
 
2.4%
ValueCountFrequency (%)
171 1
0.4%
147 1
0.4%
119 1
0.4%
113 1
0.4%
110 1
0.4%
100 1
0.4%
91 1
0.4%
77 1
0.4%
60 1
0.4%
58 1
0.4%

주소
Text

Distinct204
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T08:04:04.754801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length24.619048
Min length11

Characters and Unicode

Total characters6204
Distinct characters173
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

Unique180 ?
Unique (%)71.4%

Sample

1st row전라남도 여수시 좌수영로 813 (봉계동)
2nd row전라남도 여수시 동문로 98 (공화동)
3rd row전라남도 여수시 군장길 50
4th row전라남도 여수시 쌍봉로 116-1, 201호
5th row전라남도 여수시 여수산단로 274-9 (월하동)
ValueCountFrequency (%)
여수시 251
 
18.9%
전라남도 246
 
18.6%
여수산단로 50
 
3.8%
소라면 32
 
2.4%
월하동 23
 
1.7%
주삼동 22
 
1.7%
좌수영로 21
 
1.6%
율촌면 18
 
1.4%
140 16
 
1.2%
2층 14
 
1.1%
Other values (370) 633
47.7%
2024-04-21T08:04:06.030390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1074
 
17.3%
348
 
5.6%
346
 
5.6%
279
 
4.5%
260
 
4.2%
258
 
4.2%
1 257
 
4.1%
251
 
4.0%
249
 
4.0%
189
 
3.0%
Other values (163) 2693
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3581
57.7%
Decimal Number 1146
 
18.5%
Space Separator 1074
 
17.3%
Close Punctuation 118
 
1.9%
Open Punctuation 118
 
1.9%
Other Punctuation 107
 
1.7%
Dash Punctuation 56
 
0.9%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
348
 
9.7%
346
 
9.7%
279
 
7.8%
260
 
7.3%
258
 
7.2%
251
 
7.0%
249
 
7.0%
189
 
5.3%
175
 
4.9%
97
 
2.7%
Other values (144) 1129
31.5%
Decimal Number
ValueCountFrequency (%)
1 257
22.4%
2 182
15.9%
0 143
12.5%
3 113
9.9%
4 95
 
8.3%
7 83
 
7.2%
5 78
 
6.8%
8 73
 
6.4%
9 65
 
5.7%
6 57
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
G 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
1074
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Other Punctuation
ValueCountFrequency (%)
, 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3581
57.7%
Common 2619
42.2%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
348
 
9.7%
346
 
9.7%
279
 
7.8%
260
 
7.3%
258
 
7.2%
251
 
7.0%
249
 
7.0%
189
 
5.3%
175
 
4.9%
97
 
2.7%
Other values (144) 1129
31.5%
Common
ValueCountFrequency (%)
1074
41.0%
1 257
 
9.8%
2 182
 
6.9%
0 143
 
5.5%
) 118
 
4.5%
( 118
 
4.5%
3 113
 
4.3%
, 107
 
4.1%
4 95
 
3.6%
7 83
 
3.2%
Other values (5) 329
 
12.6%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
G 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3581
57.7%
ASCII 2623
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1074
40.9%
1 257
 
9.8%
2 182
 
6.9%
0 143
 
5.5%
) 118
 
4.5%
( 118
 
4.5%
3 113
 
4.3%
, 107
 
4.1%
4 95
 
3.6%
7 83
 
3.2%
Other values (9) 333
 
12.7%
Hangul
ValueCountFrequency (%)
348
 
9.7%
346
 
9.7%
279
 
7.8%
260
 
7.3%
258
 
7.2%
251
 
7.0%
249
 
7.0%
189
 
5.3%
175
 
4.9%
97
 
2.7%
Other values (144) 1129
31.5%

운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
운영중
252 

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 252
100.0%

Length

2024-04-21T08:04:06.250608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:04:06.405161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 252
100.0%

Interactions

2024-04-21T08:04:00.386800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T08:04:00.799615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T08:04:00.983924image/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

업체명면허종류(일반운송사업)차량대수(직영_위수탁)주소운영여부
0(유)중호물류일반화물19전라남도 여수시 좌수영로 813 (봉계동)운영중
1두성해운(주)일반화물3전라남도 여수시 동문로 98 (공화동)운영중
2(유)우보물류일반화물7전라남도 여수시 군장길 50운영중
3(유)하나물류일반화물5전라남도 여수시 쌍봉로 116-1, 201호운영중
4(주)서평일반화물34전라남도 여수시 여수산단로 274-9 (월하동)운영중
5(주)코리아물류일반화물20전라남도 여수시 좌수영로 977 (여천동)운영중
6(유)광원물류일반화물12전라남도 여수시 좌수영로 977 (여천동)운영중
7(주)제일화물일반화물18전라남도 여수시 여수산단로 274-9 (월하동)운영중
8㈜라인로지스틱일반화물43전라남도 여수시 여수산단로 140, 202호 (주삼동, 화물차휴게소)운영중
9㈜보성일반화물33전라남도 여수시 소라면 조산로 178운영중
업체명면허종류(일반운송사업)차량대수(직영_위수탁)주소운영여부
242김OO일반화물2전라남도 여수시 신월로 655, 102동 2202호운영중
243김OO일반화물2전라남도 여수시 예울마루로30, 118동 504호운영중
244김OO일반화물1전라남도 여수시 신월2길 11, 103동 503호운영중
245이OO일반화물2전라남도 여수시 무선4길 11-1, 304호운영중
246김OO일반화물1전라남도 여수시 산단중앙로 75, 2층운영중
247이OO일반화물2전라남도 여수시 봉산남 3길 23-7운영중
248이OO일반화물1전라남도 여수시 고소5길 74, 102동 204호운영중
249박OO일반화물2전라남도 여수시 웅천로 189, 107동 402호운영중
250박OO일반화물1전라남도 여수시 소라면 상세동길 34-3운영중
251신OO일반화물4전라남도 여수시 학동서3길 27운영중