Overview

Dataset statistics

Number of variables5
Number of observations169
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description부산광역시 남구의 일반화물자동차운송사업자 업체 현황입니다. 업체명, 업체주소, 업종, 운영여부 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15115471/fileData.do

Alerts

업종 has constant value ""Constant
운영여부 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:05:24.670272
Analysis finished2023-12-12 17:05:25.174469
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85
Minimum1
Maximum169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T02:05:25.250568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.4
Q143
median85
Q3127
95-th percentile160.6
Maximum169
Range168
Interquartile range (IQR)84

Descriptive statistics

Standard deviation48.930222
Coefficient of variation (CV)0.57564968
Kurtosis-1.2
Mean85
Median Absolute Deviation (MAD)42
Skewness0
Sum14365
Variance2394.1667
MonotonicityStrictly increasing
2023-12-13T02:05:25.427855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
117 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%
116 1
 
0.6%
Other values (159) 159
94.1%
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 (%)
169 1
0.6%
168 1
0.6%
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%

업체명
Text

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T02:05:25.807868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.4023669
Min length3

Characters and Unicode

Total characters1082
Distinct characters170
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)100.0%

Sample

1st row㈜해조산업
2nd row㈜진성통운
3rd row천양상운㈜
4th row㈜명선컨테이너
5th row팔손통운㈜
ValueCountFrequency (%)
㈜해조산업 1
 
0.6%
㈜시온로직스 1
 
0.6%
우성트레일러㈜ 1
 
0.6%
㈜금결비씨엘 1
 
0.6%
이레물류㈜ 1
 
0.6%
㈜페밀리로직스 1
 
0.6%
영일로지스틱㈜ 1
 
0.6%
한국물류운송협동조합 1
 
0.6%
고려물류㈜ 1
 
0.6%
㈜수영로직스 1
 
0.6%
Other values (159) 159
94.1%
2023-12-13T02:05:26.360271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
13.0%
63
 
5.8%
62
 
5.7%
59
 
5.5%
45
 
4.2%
31
 
2.9%
) 27
 
2.5%
27
 
2.5%
( 27
 
2.5%
25
 
2.3%
Other values (160) 575
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 887
82.0%
Other Symbol 141
 
13.0%
Close Punctuation 27
 
2.5%
Open Punctuation 27
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
 
7.1%
62
 
7.0%
59
 
6.7%
45
 
5.1%
31
 
3.5%
27
 
3.0%
25
 
2.8%
24
 
2.7%
22
 
2.5%
19
 
2.1%
Other values (157) 510
57.5%
Other Symbol
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1028
95.0%
Common 54
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
141
 
13.7%
63
 
6.1%
62
 
6.0%
59
 
5.7%
45
 
4.4%
31
 
3.0%
27
 
2.6%
25
 
2.4%
24
 
2.3%
22
 
2.1%
Other values (158) 529
51.5%
Common
ValueCountFrequency (%)
) 27
50.0%
( 27
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 887
82.0%
None 141
 
13.0%
ASCII 54
 
5.0%

Most frequent character per block

None
ValueCountFrequency (%)
141
100.0%
Hangul
ValueCountFrequency (%)
63
 
7.1%
62
 
7.0%
59
 
6.7%
45
 
5.1%
31
 
3.5%
27
 
3.0%
25
 
2.8%
24
 
2.7%
22
 
2.5%
19
 
2.1%
Other values (157) 510
57.5%
ASCII
ValueCountFrequency (%)
) 27
50.0%
( 27
50.0%
Distinct144
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T02:05:26.736210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length30.769231
Min length19

Characters and Unicode

Total characters5200
Distinct characters166
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

Unique126 ?
Unique (%)74.6%

Sample

1st row부산광역시 남구 신선로 435, 4층(용당동)
2nd row부산광역시 남구 신선로 168, 15호(감만동, 내트럭하우스3층)
3rd row부산광역시 남구 신선로 435, 3층(용당동, 남천빌딩)
4th row부산광역시 남구 신선로 294(용당동)
5th row부산광역시 남구 신선로 385, 2층(용당동)
ValueCountFrequency (%)
남구 168
18.5%
부산광역시 161
17.8%
신선로 73
 
8.1%
168 18
 
2.0%
수영로 16
 
1.8%
152 15
 
1.7%
261 15
 
1.7%
내트럭하우스 14
 
1.5%
자성로 14
 
1.5%
신선대산복로 13
 
1.4%
Other values (246) 399
44.0%
2023-12-13T02:05:27.296091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
737
 
14.2%
1 228
 
4.4%
, 200
 
3.8%
190
 
3.7%
182
 
3.5%
181
 
3.5%
178
 
3.4%
171
 
3.3%
170
 
3.3%
169
 
3.2%
Other values (156) 2794
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3013
57.9%
Decimal Number 896
 
17.2%
Space Separator 737
 
14.2%
Other Punctuation 201
 
3.9%
Open Punctuation 169
 
3.2%
Close Punctuation 169
 
3.2%
Dash Punctuation 10
 
0.2%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
190
 
6.3%
182
 
6.0%
181
 
6.0%
178
 
5.9%
171
 
5.7%
170
 
5.6%
169
 
5.6%
162
 
5.4%
161
 
5.3%
92
 
3.1%
Other values (135) 1357
45.0%
Decimal Number
ValueCountFrequency (%)
1 228
25.4%
2 151
16.9%
3 132
14.7%
0 87
 
9.7%
4 65
 
7.3%
6 64
 
7.1%
5 54
 
6.0%
8 52
 
5.8%
9 34
 
3.8%
7 29
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
F 1
20.0%
S 1
20.0%
I 1
20.0%
K 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 200
99.5%
? 1
 
0.5%
Space Separator
ValueCountFrequency (%)
737
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3013
57.9%
Common 2182
42.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
190
 
6.3%
182
 
6.0%
181
 
6.0%
178
 
5.9%
171
 
5.7%
170
 
5.6%
169
 
5.6%
162
 
5.4%
161
 
5.3%
92
 
3.1%
Other values (135) 1357
45.0%
Common
ValueCountFrequency (%)
737
33.8%
1 228
 
10.4%
, 200
 
9.2%
( 169
 
7.7%
) 169
 
7.7%
2 151
 
6.9%
3 132
 
6.0%
0 87
 
4.0%
4 65
 
3.0%
6 64
 
2.9%
Other values (6) 180
 
8.2%
Latin
ValueCountFrequency (%)
C 1
20.0%
F 1
20.0%
S 1
20.0%
I 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3013
57.9%
ASCII 2187
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
737
33.7%
1 228
 
10.4%
, 200
 
9.1%
( 169
 
7.7%
) 169
 
7.7%
2 151
 
6.9%
3 132
 
6.0%
0 87
 
4.0%
4 65
 
3.0%
6 64
 
2.9%
Other values (11) 185
 
8.5%
Hangul
ValueCountFrequency (%)
190
 
6.3%
182
 
6.0%
181
 
6.0%
178
 
5.9%
171
 
5.7%
170
 
5.6%
169
 
5.6%
162
 
5.4%
161
 
5.3%
92
 
3.1%
Other values (135) 1357
45.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반화물
169 

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 169
100.0%

Length

2023-12-13T02:05:27.505728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:05:27.627850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 169
100.0%

운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
운영
169 

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 169
100.0%

Length

2023-12-13T02:05:27.759114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:05:27.869382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 169
100.0%

Interactions

2023-12-13T02:05:24.880993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:05:25.005325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:05:25.124963image/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

연번업체명업체주소업종운영여부
01㈜해조산업부산광역시 남구 신선로 435, 4층(용당동)일반화물운영
12㈜진성통운부산광역시 남구 신선로 168, 15호(감만동, 내트럭하우스3층)일반화물운영
23천양상운㈜부산광역시 남구 신선로 435, 3층(용당동, 남천빌딩)일반화물운영
34㈜명선컨테이너부산광역시 남구 신선로 294(용당동)일반화물운영
45팔손통운㈜부산광역시 남구 신선로 385, 2층(용당동)일반화물운영
56㈜에스물류부산광역시 남구 신선로329번길 26, 405호(용당동, 유림스카이)일반화물운영
67㈜청송트랜스월드부산광역시 남구 신선로 168, 내트럭하우스관리동 303호(감만동)일반화물운영
78아톰물류㈜부산광역시 남구 우암로 75(감만동)일반화물운영
89㈜전진로직스부산광역시 남구 홍곡로 343, 대우상가 205호(대연동)일반화물운영
910보성육운㈜부산광역시 남구 신선로 406(용당동)일반화물운영
연번업체명업체주소업종운영여부
159160㈜산성로직스부산광역시 남구 신선로 168, 308호(감만동)일반화물운영
160161대방환경㈜부산광역시 남구 신선로 231-1(용당동)일반화물운영
161162㈜만복운수부산광역시 남구 신선로 385(용당동)일반화물운영
162163㈜세화씨엔에스부산광역시 남구 신선로 261, 102호(용당동, 내트럭)일반화물운영
163164㈜은혜물류부산광역시 남구 자성로 152, 1804호(문현동, 한일오피스텔)일반화물운영
164165명진종합물류㈜부산광역시 남구 수영로 12, 1동 107호(문현동, 세종그랑시아)일반화물운영
165166㈜제이앤제이물류부산광역시 남구 신선로 365, 211호(용당동, 부경대용당캠퍼스)일반화물운영
166167㈜올뉴로직스부산광역시 남구 우암로104번길 29, 111동 203호(감만동, 동일스위트)일반화물운영
167168(주)덕양중기물류부산광역시 남구 신선로 261, 부산용당화물차 휴게소 101동 1호일반화물운영
168169㈜디와이물류부산광역시 남구 수영로 312, 21센츄리시티 오피스텔 1221호(대연동)일반화물운영