Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory53.1 B

Variable types

Numeric2
Text4

Dataset

Description울산광역시 관내 일반택시(법인택시) 42개사 업체 현황이며, 이에 대한 자료는 회사명, 면허대수, 대표자, 주사무소, 전화번호를 안내하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15127408/fileData.do

Alerts

연번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:37:03.203191
Analysis finished2024-04-06 08:37:05.518516
Duration2.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T17:37:05.725940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2024-04-06T17:37:06.304676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

회사명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T17:37:07.005612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2380952
Min length4

Characters and Unicode

Total characters220
Distinct characters64
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

Unique42 ?
Unique (%)100.0%

Sample

1st row고려택시㈜
2nd row금강산업㈜
3rd row㈜남도택시
4th row대우교통㈜
5th row대원교통㈜
ValueCountFrequency (%)
고려택시㈜ 1
 
2.3%
동림교통㈜ 1
 
2.3%
우리교통(주 1
 
2.3%
현대택시㈜ 1
 
2.3%
우리택시㈜ 1
 
2.3%
울산교통(주 1
 
2.3%
월성운수㈜ 1
 
2.3%
이화교통 1
 
2.3%
㈜제일택시 1
 
2.3%
조은운수㈜ 1
 
2.3%
Other values (34) 34
77.3%
2024-04-06T17:37:08.274053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 36
16.4%
택 17
 
7.7%
시 17
 
7.7%
교 17
 
7.7%
통 17
 
7.7%
동 7
 
3.2%
대 5
 
2.3%
진 5
 
2.3%
( 5
 
2.3%
수 5
 
2.3%
Other values (54) 89
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
78.2%
Other Symbol 36
 
16.4%
Open Punctuation 5
 
2.3%
Close Punctuation 5
 
2.3%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
택 17
 
9.9%
시 17
 
9.9%
교 17
 
9.9%
통 17
 
9.9%
동 7
 
4.1%
대 5
 
2.9%
진 5
 
2.9%
수 5
 
2.9%
운 5
 
2.9%
우 4
 
2.3%
Other values (50) 73
42.4%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
94.5%
Common 12
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 36
17.3%
택 17
 
8.2%
시 17
 
8.2%
교 17
 
8.2%
통 17
 
8.2%
동 7
 
3.4%
대 5
 
2.4%
진 5
 
2.4%
수 5
 
2.4%
운 5
 
2.4%
Other values (51) 77
37.0%
Common
ValueCountFrequency (%)
( 5
41.7%
) 5
41.7%
2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
78.2%
None 36
 
16.4%
ASCII 12
 
5.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 36
100.0%
Hangul
ValueCountFrequency (%)
택 17
 
9.9%
시 17
 
9.9%
교 17
 
9.9%
통 17
 
9.9%
동 7
 
4.1%
대 5
 
2.9%
진 5
 
2.9%
수 5
 
2.9%
운 5
 
2.9%
우 4
 
2.3%
Other values (50) 73
42.4%
ASCII
ValueCountFrequency (%)
( 5
41.7%
) 5
41.7%
2
 
16.7%

면허대수
Real number (ℝ)

Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.238095
Minimum32
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T17:37:08.774725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile33.05
Q142.25
median48
Q351.75
95-th percentile71.7
Maximum122
Range90
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation15.320653
Coefficient of variation (CV)0.31115447
Kurtosis12.023655
Mean49.238095
Median Absolute Deviation (MAD)5
Skewness2.8553752
Sum2068
Variance234.72242
MonotonicityNot monotonic
2024-04-06T17:37:09.136163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
50 3
 
7.1%
44 3
 
7.1%
49 3
 
7.1%
51 3
 
7.1%
36 3
 
7.1%
34 2
 
4.8%
32 2
 
4.8%
56 2
 
4.8%
48 2
 
4.8%
45 2
 
4.8%
Other values (15) 17
40.5%
ValueCountFrequency (%)
32 2
4.8%
33 1
 
2.4%
34 2
4.8%
36 3
7.1%
38 1
 
2.4%
40 1
 
2.4%
42 1
 
2.4%
43 1
 
2.4%
44 3
7.1%
45 2
4.8%
ValueCountFrequency (%)
122 1
 
2.4%
80 1
 
2.4%
72 1
 
2.4%
66 1
 
2.4%
60 1
 
2.4%
56 2
4.8%
54 2
4.8%
53 1
 
2.4%
52 1
 
2.4%
51 3
7.1%

대표자
Text

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T17:37:09.619627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.5714286
Min length3

Characters and Unicode

Total characters150
Distinct characters68
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)76.2%

Sample

1st row심완식
2nd row성길부,성정훈
3rd row김상철
4th row신맹렬,신기영
5th row정순옥
ValueCountFrequency (%)
김상철 4
 
9.5%
김말만 2
 
4.8%
문인학 2
 
4.8%
이상윤 2
 
4.8%
심완식 1
 
2.4%
백진호 1
 
2.4%
정일준 1
 
2.4%
박재만 1
 
2.4%
김희택 1
 
2.4%
성길부,성정훈 1
 
2.4%
Other values (26) 26
61.9%
2024-04-06T17:37:10.547482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 15
 
10.0%
상 8
 
5.3%
정 7
 
4.7%
, 6
 
4.0%
철 6
 
4.0%
성 5
 
3.3%
호 5
 
3.3%
재 5
 
3.3%
이 4
 
2.7%
윤 4
 
2.7%
Other values (58) 85
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
96.0%
Other Punctuation 6
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 15
 
10.4%
상 8
 
5.6%
정 7
 
4.9%
철 6
 
4.2%
성 5
 
3.5%
호 5
 
3.5%
재 5
 
3.5%
이 4
 
2.8%
윤 4
 
2.8%
박 4
 
2.8%
Other values (57) 81
56.2%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
96.0%
Common 6
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 15
 
10.4%
상 8
 
5.6%
정 7
 
4.9%
철 6
 
4.2%
성 5
 
3.5%
호 5
 
3.5%
재 5
 
3.5%
이 4
 
2.8%
윤 4
 
2.8%
박 4
 
2.8%
Other values (57) 81
56.2%
Common
ValueCountFrequency (%)
, 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
96.0%
ASCII 6
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 15
 
10.4%
상 8
 
5.6%
정 7
 
4.9%
철 6
 
4.2%
성 5
 
3.5%
호 5
 
3.5%
재 5
 
3.5%
이 4
 
2.8%
윤 4
 
2.8%
박 4
 
2.8%
Other values (57) 81
56.2%
ASCII
ValueCountFrequency (%)
, 6
100.0%

주소(주사무소)
Text

Distinct38
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T17:37:11.130647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length16.52381
Min length14

Characters and Unicode

Total characters694
Distinct characters76
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)81.0%

Sample

1st row남구 여천로 64(야음동)
2nd row남구 산업로 483(여천동)
3rd row남구 두왕로 132(선암동)
4th row남구 봉월로60번길 3(신정동)
5th row북구 진장3길 24(진장동)
ValueCountFrequency (%)
남구 23
 
17.3%
북구 11
 
8.3%
울주군 7
 
5.3%
여천로 6
 
4.5%
장생포로 4
 
3.0%
산업로 3
 
2.3%
언양읍 3
 
2.3%
13(야음동 3
 
2.3%
청량읍 3
 
2.3%
온산로384 2
 
1.5%
Other values (61) 68
51.1%
2024-04-06T17:37:12.317773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
14.3%
) 37
 
5.3%
( 37
 
5.3%
구 36
 
5.2%
동 35
 
5.0%
로 33
 
4.8%
1 27
 
3.9%
3 25
 
3.6%
남 23
 
3.3%
2 20
 
2.9%
Other values (66) 322
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
53.6%
Decimal Number 142
 
20.5%
Space Separator 99
 
14.3%
Close Punctuation 37
 
5.3%
Open Punctuation 37
 
5.3%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 36
 
9.7%
동 35
 
9.4%
로 33
 
8.9%
남 23
 
6.2%
길 19
 
5.1%
장 15
 
4.0%
산 12
 
3.2%
천 11
 
3.0%
진 11
 
3.0%
북 11
 
3.0%
Other values (52) 166
44.6%
Decimal Number
ValueCountFrequency (%)
1 27
19.0%
3 25
17.6%
2 20
14.1%
6 16
11.3%
4 12
8.5%
8 11
7.7%
5 9
 
6.3%
9 8
 
5.6%
7 8
 
5.6%
0 6
 
4.2%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
53.6%
Common 322
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 36
 
9.7%
동 35
 
9.4%
로 33
 
8.9%
남 23
 
6.2%
길 19
 
5.1%
장 15
 
4.0%
산 12
 
3.2%
천 11
 
3.0%
진 11
 
3.0%
북 11
 
3.0%
Other values (52) 166
44.6%
Common
ValueCountFrequency (%)
99
30.7%
) 37
 
11.5%
( 37
 
11.5%
1 27
 
8.4%
3 25
 
7.8%
2 20
 
6.2%
6 16
 
5.0%
4 12
 
3.7%
8 11
 
3.4%
5 9
 
2.8%
Other values (4) 29
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
53.6%
ASCII 322
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
30.7%
) 37
 
11.5%
( 37
 
11.5%
1 27
 
8.4%
3 25
 
7.8%
2 20
 
6.2%
6 16
 
5.0%
4 12
 
3.7%
8 11
 
3.4%
5 9
 
2.8%
Other values (4) 29
 
9.0%
Hangul
ValueCountFrequency (%)
구 36
 
9.7%
동 35
 
9.4%
로 33
 
8.9%
남 23
 
6.2%
길 19
 
5.1%
장 15
 
4.0%
산 12
 
3.2%
천 11
 
3.0%
진 11
 
3.0%
북 11
 
3.0%
Other values (52) 166
44.6%

전화번호
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T17:37:13.015710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.142857
Min length12

Characters and Unicode

Total characters510
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

Unique40 ?
Unique (%)95.2%

Sample

1st row052-268-4551
2nd row052-271-6611~4
3rd row052-272-3339
4th row052-273-4900
5th row052-297-4481
ValueCountFrequency (%)
052-272-3339 2
 
4.8%
052-268-4551 1
 
2.4%
052-273-4500 1
 
2.4%
052-266-5100 1
 
2.4%
052-272-5615 1
 
2.4%
052-272-2636 1
 
2.4%
052-268-7286 1
 
2.4%
052-261-2538 1
 
2.4%
052-257-5582 1
 
2.4%
052-262-2400 1
 
2.4%
Other values (31) 31
73.8%
2024-04-06T17:37:13.972114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 114
22.4%
- 84
16.5%
5 71
13.9%
0 64
12.5%
7 37
 
7.3%
6 28
 
5.5%
3 27
 
5.3%
4 26
 
5.1%
1 25
 
4.9%
8 20
 
3.9%
Other values (2) 14
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 423
82.9%
Dash Punctuation 84
 
16.5%
Math Symbol 3
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 114
27.0%
5 71
16.8%
0 64
15.1%
7 37
 
8.7%
6 28
 
6.6%
3 27
 
6.4%
4 26
 
6.1%
1 25
 
5.9%
8 20
 
4.7%
9 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 114
22.4%
- 84
16.5%
5 71
13.9%
0 64
12.5%
7 37
 
7.3%
6 28
 
5.5%
3 27
 
5.3%
4 26
 
5.1%
1 25
 
4.9%
8 20
 
3.9%
Other values (2) 14
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 114
22.4%
- 84
16.5%
5 71
13.9%
0 64
12.5%
7 37
 
7.3%
6 28
 
5.5%
3 27
 
5.3%
4 26
 
5.1%
1 25
 
4.9%
8 20
 
3.9%
Other values (2) 14
 
2.7%

Interactions

2024-04-06T17:37:04.594265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:04.147565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:04.782444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:04.375118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:37:14.238211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회사명면허대수대표자주소(주사무소)전화번호
연번1.0001.0000.0000.8270.9070.952
회사명1.0001.0001.0001.0001.0001.000
면허대수0.0001.0001.0000.9780.9150.973
대표자0.8271.0000.9781.0000.9720.992
주소(주사무소)0.9071.0000.9150.9721.0001.000
전화번호0.9521.0000.9730.9921.0001.000
2024-04-06T17:37:14.520448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면허대수
연번1.000-0.081
면허대수-0.0811.000

Missing values

2024-04-06T17:37:05.092826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:37:05.359902image/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

연번회사명면허대수대표자주소(주사무소)전화번호
01고려택시㈜38심완식남구 여천로 64(야음동)052-268-4551
12금강산업㈜56성길부,성정훈남구 산업로 483(여천동)052-271-6611~4
23㈜남도택시44김상철남구 두왕로 132(선암동)052-272-3339
34대우교통㈜47신맹렬,신기영남구 봉월로60번길 3(신정동)052-273-4900
45대원교통㈜49정순옥북구 진장3길 24(진장동)052-297-4481
56대진택시㈜46김상철남구 여천로 13(야음동)052-268-5041
67대흥택시㈜51천재호남구 여천로 69(야음동)052-275-3337~8
78덕신운수㈜51허덕룡남구 돋질로102번길 12(달동)052-274-7669
89동광교통(합)72김영호북구 산업로 1452(신천동)052-273-2841~2
910동림교통㈜45남명선북구 무룡로 86-5(연암동)052-272-4427
연번회사명면허대수대표자주소(주사무소)전화번호
3233천사택시㈜33최성호남구 장생포로 376번길 1(매암동)052-261-7874
3334㈜청림택시44문인학울주군 청량읍 온산로384052-288-2513
3435태화교통㈜36김말만울주군 청량읍 화창9길 3052-274-3710
3536㈜평화산업50차병환,차재열남구 장생포로 364(매암동)052-265-9145
3637하나교통㈜80윤석보북구 대안1길 163(대안동)052-295-1522
3738㈜한승택시50한정우북구 송도길 27(효문동)052-287-8934
3839한일교통㈜122박길용북구 진장유통로 101(진장동)052-269-0453
3940해오름교통(협)49한희창북구 진장18길 9(진장동)052-268-7301
4041현대택시㈜32김상철,김덕현남구 두왕로 132(선암동)052-272-3339
4142흥진택시㈜49김상철남구 여천로 13(야음동)052-227-7058