Overview

Dataset statistics

Number of variables6
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory51.4 B

Variable types

Numeric2
Text4

Dataset

Description부산광역시 소재 법인택시 현황으로 업체의 회사명, 주소, 전화번호, 팩스번호, 면허대수 정보를 제공하고 있습니다.
Author부산광역시
URLhttps://www.data.go.kr/data/3076462/fileData.do

Alerts

순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:49:36.560474
Analysis finished2024-04-21 02:49:39.005862
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-21T11:49:39.074954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2024-04-21T11:49:39.201079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

회사명
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-21T11:49:39.475882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.9894737
Min length5

Characters and Unicode

Total characters664
Distinct characters81
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

Unique95 ?
Unique (%)100.0%

Sample

1st row(주)가성
2nd row가야교통(주)
3rd row(주)경녕교통
4th row경녕택시(주)
5th row(협)경한택시
ValueCountFrequency (%)
주)가성 1
 
1.1%
유일교통(주 1
 
1.1%
주)우진택시 1
 
1.1%
온누리택시(주 1
 
1.1%
예성택시(주 1
 
1.1%
영포택시(주 1
 
1.1%
주)영남통운 1
 
1.1%
주)영남교통 1
 
1.1%
연일택시(주 1
 
1.1%
안전운수(주 1
 
1.1%
Other values (85) 85
89.5%
2024-04-21T11:49:39.906615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 93
14.0%
) 93
14.0%
주 92
13.9%
통 35
 
5.3%
교 33
 
5.0%
택 31
 
4.7%
시 31
 
4.7%
운 22
 
3.3%
수 19
 
2.9%
대 17
 
2.6%
Other values (71) 198
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
71.7%
Open Punctuation 93
 
14.0%
Close Punctuation 93
 
14.0%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 92
19.3%
통 35
 
7.4%
교 33
 
6.9%
택 31
 
6.5%
시 31
 
6.5%
운 22
 
4.6%
수 19
 
4.0%
대 17
 
3.6%
일 12
 
2.5%
한 12
 
2.5%
Other values (68) 172
36.1%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
72.0%
Common 186
 
28.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 92
19.2%
통 35
 
7.3%
교 33
 
6.9%
택 31
 
6.5%
시 31
 
6.5%
운 22
 
4.6%
수 19
 
4.0%
대 17
 
3.6%
일 12
 
2.5%
한 12
 
2.5%
Other values (69) 174
36.4%
Common
ValueCountFrequency (%)
( 93
50.0%
) 93
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
71.7%
ASCII 186
 
28.0%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 93
50.0%
) 93
50.0%
Hangul
ValueCountFrequency (%)
주 92
19.3%
통 35
 
7.4%
교 33
 
6.9%
택 31
 
6.5%
시 31
 
6.5%
운 22
 
4.6%
수 19
 
4.0%
대 17
 
3.6%
일 12
 
2.5%
한 12
 
2.5%
Other values (68) 172
36.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

주소
Text

Distinct72
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-21T11:49:40.169635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length18.8
Min length15

Characters and Unicode

Total characters1786
Distinct characters110
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

Unique58 ?
Unique (%)61.1%

Sample

1st row사상구 모라동 657-11 1층
2nd row금정구 삼어로 228(금사동)
3rd row사하구 감천로 50(감천동)
4th row사하구 감천로 50(감천동)
5th row영도구 해양로 160(청학동)
ValueCountFrequency (%)
사하구 30
 
9.0%
금정구 20
 
6.0%
사상구 12
 
3.6%
영도구 9
 
2.7%
공단서로 7
 
2.1%
8번길 7
 
2.1%
81(금사동 7
 
2.1%
감천로 6
 
1.8%
하신중앙로 6
 
1.8%
와치로 6
 
1.8%
Other values (147) 225
67.2%
2024-04-21T11:49:40.549598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
 
13.5%
동 99
 
5.5%
로 94
 
5.3%
구 92
 
5.2%
) 87
 
4.9%
( 87
 
4.9%
1 64
 
3.6%
사 63
 
3.5%
번 50
 
2.8%
2 48
 
2.7%
Other values (100) 861
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1005
56.3%
Decimal Number 349
 
19.5%
Space Separator 241
 
13.5%
Close Punctuation 87
 
4.9%
Open Punctuation 87
 
4.9%
Dash Punctuation 16
 
0.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 99
 
9.9%
로 94
 
9.4%
구 92
 
9.2%
사 63
 
6.3%
번 50
 
5.0%
길 46
 
4.6%
하 39
 
3.9%
금 38
 
3.8%
장 36
 
3.6%
대 28
 
2.8%
Other values (85) 420
41.8%
Decimal Number
ValueCountFrequency (%)
1 64
18.3%
2 48
13.8%
0 42
12.0%
3 38
10.9%
8 34
9.7%
4 29
8.3%
5 28
8.0%
6 24
 
6.9%
7 23
 
6.6%
9 19
 
5.4%
Space Separator
ValueCountFrequency (%)
241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1005
56.3%
Common 781
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 99
 
9.9%
로 94
 
9.4%
구 92
 
9.2%
사 63
 
6.3%
번 50
 
5.0%
길 46
 
4.6%
하 39
 
3.9%
금 38
 
3.8%
장 36
 
3.6%
대 28
 
2.8%
Other values (85) 420
41.8%
Common
ValueCountFrequency (%)
241
30.9%
) 87
 
11.1%
( 87
 
11.1%
1 64
 
8.2%
2 48
 
6.1%
0 42
 
5.4%
3 38
 
4.9%
8 34
 
4.4%
4 29
 
3.7%
5 28
 
3.6%
Other values (5) 83
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1005
56.3%
ASCII 781
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
30.9%
) 87
 
11.1%
( 87
 
11.1%
1 64
 
8.2%
2 48
 
6.1%
0 42
 
5.4%
3 38
 
4.9%
8 34
 
4.4%
4 29
 
3.7%
5 28
 
3.6%
Other values (5) 83
 
10.6%
Hangul
ValueCountFrequency (%)
동 99
 
9.9%
로 94
 
9.4%
구 92
 
9.2%
사 63
 
6.3%
번 50
 
5.0%
길 46
 
4.6%
하 39
 
3.9%
금 38
 
3.8%
장 36
 
3.6%
대 28
 
2.8%
Other values (85) 420
41.8%

전화번호
Text

Distinct81
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-21T11:49:40.772263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.968421
Min length9

Characters and Unicode

Total characters1137
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

Unique72 ?
Unique (%)75.8%

Sample

1st row051-645-2906
2nd row051-524-5201
3rd row051-206-2721
4th row051-206-2721
5th row051-625-3337
ValueCountFrequency (%)
051-524-2228 4
 
4.2%
051-206-2721 4
 
4.2%
051-205-2288 3
 
3.2%
051-522-7755 2
 
2.1%
051-528-2391 2
 
2.1%
051-262-1700 2
 
2.1%
051-201-0801 2
 
2.1%
051-412-2235 2
 
2.1%
051-531-7720 2
 
2.1%
051-263-4341 1
 
1.1%
Other values (71) 71
74.7%
2024-04-21T11:49:41.097729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 189
16.6%
1 184
16.2%
5 173
15.2%
0 170
15.0%
2 137
12.0%
3 71
 
6.2%
6 49
 
4.3%
7 48
 
4.2%
8 44
 
3.9%
4 40
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 948
83.4%
Dash Punctuation 189
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 184
19.4%
5 173
18.2%
0 170
17.9%
2 137
14.5%
3 71
 
7.5%
6 49
 
5.2%
7 48
 
5.1%
8 44
 
4.6%
4 40
 
4.2%
9 32
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 189
16.6%
1 184
16.2%
5 173
15.2%
0 170
15.0%
2 137
12.0%
3 71
 
6.2%
6 49
 
4.3%
7 48
 
4.2%
8 44
 
3.9%
4 40
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 189
16.6%
1 184
16.2%
5 173
15.2%
0 170
15.0%
2 137
12.0%
3 71
 
6.2%
6 49
 
4.3%
7 48
 
4.2%
8 44
 
3.9%
4 40
 
3.5%

팩스
Text

Distinct74
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-21T11:49:41.323427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021053
Min length12

Characters and Unicode

Total characters1142
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)64.2%

Sample

1st row051-645-2904
2nd row051-527-5202
3rd row051-292-2209
4th row051-292-2209
5th row051-625-3338
ValueCountFrequency (%)
051-525-7773 6
 
6.3%
051-292-2209 4
 
4.2%
051-205-3388 3
 
3.2%
051-262-1702 3
 
3.2%
051-415-0365 2
 
2.1%
051-201-0804 2
 
2.1%
051-636-8095 2
 
2.1%
051-528-2392 2
 
2.1%
051-721-1505 2
 
2.1%
051-522-7766 2
 
2.1%
Other values (64) 67
70.5%
2024-04-21T11:49:41.649139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 190
16.6%
5 178
15.6%
0 160
14.0%
1 151
13.2%
2 117
10.2%
3 80
7.0%
7 62
 
5.4%
6 56
 
4.9%
8 50
 
4.4%
4 50
 
4.4%
Other values (2) 48
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 951
83.3%
Dash Punctuation 190
 
16.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 178
18.7%
0 160
16.8%
1 151
15.9%
2 117
12.3%
3 80
8.4%
7 62
 
6.5%
6 56
 
5.9%
8 50
 
5.3%
4 50
 
5.3%
9 47
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1142
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 190
16.6%
5 178
15.6%
0 160
14.0%
1 151
13.2%
2 117
10.2%
3 80
7.0%
7 62
 
5.4%
6 56
 
4.9%
8 50
 
4.4%
4 50
 
4.4%
Other values (2) 48
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1142
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 190
16.6%
5 178
15.6%
0 160
14.0%
1 151
13.2%
2 117
10.2%
3 80
7.0%
7 62
 
5.4%
6 56
 
4.9%
8 50
 
4.4%
4 50
 
4.4%
Other values (2) 48
 
4.2%

면허대수
Real number (ℝ)

Distinct68
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.41053
Minimum29
Maximum434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-21T11:49:41.778831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile50
Q172.5
median89
Q3115
95-th percentile183.3
Maximum434
Range405
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation55.422074
Coefficient of variation (CV)0.54117556
Kurtosis15.072185
Mean102.41053
Median Absolute Deviation (MAD)22
Skewness3.2026495
Sum9729
Variance3071.6063
MonotonicityNot monotonic
2024-04-21T11:49:41.903291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87 4
 
4.2%
67 4
 
4.2%
65 3
 
3.2%
63 3
 
3.2%
112 3
 
3.2%
53 2
 
2.1%
85 2
 
2.1%
101 2
 
2.1%
94 2
 
2.1%
115 2
 
2.1%
Other values (58) 68
71.6%
ValueCountFrequency (%)
29 1
 
1.1%
42 1
 
1.1%
46 1
 
1.1%
47 1
 
1.1%
50 2
2.1%
51 1
 
1.1%
53 2
2.1%
58 1
 
1.1%
59 1
 
1.1%
63 3
3.2%
ValueCountFrequency (%)
434 1
1.1%
322 1
1.1%
226 1
1.1%
215 1
1.1%
198 1
1.1%
177 1
1.1%
167 1
1.1%
158 2
2.1%
157 1
1.1%
150 1
1.1%

Interactions

2024-04-21T11:49:38.699884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:49:38.500350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:49:38.770332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:49:38.614669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:49:41.990262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명주소전화번호팩스면허대수
순번1.0001.0000.8600.8890.8750.000
회사명1.0001.0001.0001.0001.0001.000
주소0.8601.0001.0000.9991.0000.970
전화번호0.8891.0000.9991.0001.0000.979
팩스0.8751.0001.0001.0001.0000.984
면허대수0.0001.0000.9700.9790.9841.000
2024-04-21T11:49:42.076875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번면허대수
순번1.0000.109
면허대수0.1091.000

Missing values

2024-04-21T11:49:38.873656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:49:38.963504image/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

순번회사명주소전화번호팩스면허대수
01(주)가성사상구 모라동 657-11 1층051-645-2906051-645-290465
12가야교통(주)금정구 삼어로 228(금사동)051-524-5201051-527-520272
23(주)경녕교통사하구 감천로 50(감천동)051-206-2721051-292-220977
34경녕택시(주)사하구 감천로 50(감천동)051-206-2721051-292-220987
45(협)경한택시영도구 해양로 160(청학동)051-625-3337051-625-3338110
56광신택시(주)사상구 학장로 273(학장동)051-315-0330051-316-9583167
67(주)금화교통사하구 두송로 237(구평동 316-1)051-291-8322051-292-338376
78(주)남진교통사하구 다대로 354번안길 28(장림동)051-263-6268051-265-947867
89(주)대남운수사하구 하신중앙로 3번길 23(장림동)051-261-9553051-262-170292
910대도교통(주)사상구 대동로 193번길 10(학장동)051-314-1789051-314-178199
순번회사명주소전화번호팩스면허대수
8586한미교통(주)기장군 기장읍 읍내로 50번길 14051-633-8095051-636-809553
8687한성산업(주)금정구 금사로 225(회동동)051-522-3840051-524-280485
8788한양교통(주)금정구 공단서로 8번길 81(금사동)051-524-2228051-525-7773112
8889한일교통(주)기장군 기장읍 읍내로 50번길 14051-625-0053051-636-809553
8990한진교통(주)연제구 고분로 253번길 24(연산동)051-759-3401051-759-3404198
9091한창운수(주)사하구 장림번영로104번길 30(장림동)051-263-8155051-263-535370
9192해남운수(주)금정구 반송로 455(금사동)051-522-4178051-527-4200104
9293해동택시(주)사상구 학감대로 267번길 29(감전동)051-323-8301051-316-8301150
9394현대택시(주)사하구 을숙도대로 534(신평동)051-291-7008051-291-701494
9495협성운수(주)사하구 장평로 33(장림동)051-205-8871051-205-885371