Overview

Dataset statistics

Number of variables6
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory51.6 B

Variable types

Numeric2
Text4

Dataset

Description대구광역시에서 여객자동차운송사업을 하는 법인택시 현황(기준일: 2021년 9월 30일, 업체리스트, 대표자, 연락처)
Author대구광역시
URLhttps://www.data.go.kr/data/15069111/fileData.do

Alerts

연번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:57:04.429371
Analysis finished2023-12-12 06:57:05.735820
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T15:57:05.830775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median43
Q364
95-th percentile80.8
Maximum85
Range84
Interquartile range (IQR)42

Descriptive statistics

Standard deviation24.681302
Coefficient of variation (CV)0.57398377
Kurtosis-1.2
Mean43
Median Absolute Deviation (MAD)21
Skewness0
Sum3655
Variance609.16667
MonotonicityStrictly increasing
2023-12-12T15:57:05.987820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%

회사명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T15:57:06.264036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.8235294
Min length4

Characters and Unicode

Total characters495
Distinct characters89
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row㈜제이에스교통
2nd row경일교통㈜
3rd row바른협동조합
4th row구평기업㈜
5th row극동자동차㈜
ValueCountFrequency (%)
㈜제이에스교통 1
 
1.1%
신우기업㈜ 1
 
1.1%
아진교통㈜ 1
 
1.1%
아주운수㈜ 1
 
1.1%
㈜아세아택시 1
 
1.1%
대일택시㈜ 1
 
1.1%
팔공희망택시협동조합 1
 
1.1%
신진택시㈜ 1
 
1.1%
신우택시㈜ 1
 
1.1%
선진택시(합명 1
 
1.1%
Other values (77) 77
88.5%
2023-12-12T15:57:06.734247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 66
 
13.3%
시 38
 
7.7%
택 37
 
7.5%
동 26
 
5.3%
운 24
 
4.8%
수 22
 
4.4%
대 22
 
4.4%
교 19
 
3.8%
통 19
 
3.8%
합 17
 
3.4%
Other values (79) 205
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
84.0%
Other Symbol 66
 
13.3%
Open Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%
Space Separator 2
 
0.4%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 38
 
9.1%
택 37
 
8.9%
동 26
 
6.2%
운 24
 
5.8%
수 22
 
5.3%
대 22
 
5.3%
교 19
 
4.6%
통 19
 
4.6%
합 17
 
4.1%
조 16
 
3.8%
Other values (72) 176
42.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 482
97.4%
Common 11
 
2.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 66
 
13.7%
시 38
 
7.9%
택 37
 
7.7%
동 26
 
5.4%
운 24
 
5.0%
수 22
 
4.6%
대 22
 
4.6%
교 19
 
3.9%
통 19
 
3.9%
합 17
 
3.5%
Other values (73) 192
39.8%
Common
ValueCountFrequency (%)
( 4
36.4%
) 4
36.4%
2
18.2%
. 1
 
9.1%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
84.0%
None 66
 
13.3%
ASCII 13
 
2.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 66
100.0%
Hangul
ValueCountFrequency (%)
시 38
 
9.1%
택 37
 
8.9%
동 26
 
6.2%
운 24
 
5.8%
수 22
 
5.3%
대 22
 
5.3%
교 19
 
4.6%
통 19
 
4.6%
합 17
 
4.1%
조 16
 
3.8%
Other values (72) 176
42.3%
ASCII
ValueCountFrequency (%)
( 4
30.8%
) 4
30.8%
2
15.4%
S 1
 
7.7%
K 1
 
7.7%
. 1
 
7.7%

면허대수
Real number (ℝ)

Distinct51
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.635294
Minimum8
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T15:57:06.918631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile32
Q148
median60
Q377
95-th percentile105.8
Maximum247
Range239
Interquartile range (IQR)29

Descriptive statistics

Standard deviation34.768571
Coefficient of variation (CV)0.5217741
Kurtosis10.615404
Mean66.635294
Median Absolute Deviation (MAD)15
Skewness2.7034082
Sum5664
Variance1208.8535
MonotonicityNot monotonic
2023-12-12T15:57:07.069375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 6
 
7.1%
54 5
 
5.9%
70 4
 
4.7%
64 3
 
3.5%
42 3
 
3.5%
77 3
 
3.5%
60 3
 
3.5%
31 2
 
2.4%
40 2
 
2.4%
36 2
 
2.4%
Other values (41) 52
61.2%
ValueCountFrequency (%)
8 1
1.2%
30 1
1.2%
31 2
2.4%
32 2
2.4%
33 1
1.2%
35 1
1.2%
36 2
2.4%
37 1
1.2%
39 1
1.2%
40 2
2.4%
ValueCountFrequency (%)
247 1
1.2%
194 1
1.2%
185 1
1.2%
126 1
1.2%
106 1
1.2%
105 1
1.2%
104 1
1.2%
95 1
1.2%
93 2
2.4%
91 1
1.2%

대표자
Text

Distinct71
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T15:57:07.354980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.5647059
Min length3

Characters and Unicode

Total characters303
Distinct characters81
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

Unique64 ?
Unique (%)75.3%

Sample

1st row오순환
2nd row강석호
3rd row김윤태
4th row하장우
5th row김동원 김상태
ValueCountFrequency (%)
김원일 5
 
5.2%
곽영호 4
 
4.2%
고장희 3
 
3.1%
이승훈 3
 
3.1%
황하기 2
 
2.1%
우상욱 2
 
2.1%
김진수 2
 
2.1%
김준홍 2
 
2.1%
기창현 2
 
2.1%
김영만 2
 
2.1%
Other values (67) 69
71.9%
2023-12-12T15:57:07.825607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 30
 
9.9%
15
 
5.0%
호 11
 
3.6%
영 11
 
3.6%
이 10
 
3.3%
기 9
 
3.0%
동 8
 
2.6%
우 8
 
2.6%
박 7
 
2.3%
상 7
 
2.3%
Other values (71) 187
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
95.0%
Space Separator 15
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 30
 
10.4%
호 11
 
3.8%
영 11
 
3.8%
이 10
 
3.5%
기 9
 
3.1%
동 8
 
2.8%
우 8
 
2.8%
박 7
 
2.4%
상 7
 
2.4%
원 7
 
2.4%
Other values (70) 180
62.5%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
95.0%
Common 15
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 30
 
10.4%
호 11
 
3.8%
영 11
 
3.8%
이 10
 
3.5%
기 9
 
3.1%
동 8
 
2.8%
우 8
 
2.8%
박 7
 
2.4%
상 7
 
2.4%
원 7
 
2.4%
Other values (70) 180
62.5%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
95.0%
ASCII 15
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 30
 
10.4%
호 11
 
3.8%
영 11
 
3.8%
이 10
 
3.5%
기 9
 
3.1%
동 8
 
2.8%
우 8
 
2.8%
박 7
 
2.4%
상 7
 
2.4%
원 7
 
2.4%
Other values (70) 180
62.5%
ASCII
ValueCountFrequency (%)
15
100.0%

주소(주사무소)
Text

Distinct68
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T15:57:08.174760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length16.094118
Min length10

Characters and Unicode

Total characters1368
Distinct characters124
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

Unique55 ?
Unique (%)64.7%

Sample

1st row동구 이노밸리로 134. 3층 301호(각산동.뿌띠끄빌딩)
2nd row서구 국채보상로 29(이현동)
3rd row달서구 성서4차첨단로 184
4th row북구 침산로 56 1층
5th row남구 현충로 117(대명동)
ValueCountFrequency (%)
동구 28
 
10.0%
달서구 19
 
6.8%
달성군 15
 
5.3%
화원읍 10
 
3.6%
서구 10
 
3.6%
남구 6
 
2.1%
구라1길 6
 
2.1%
57 6
 
2.1%
신평로 6
 
2.1%
국채보상로 4
 
1.4%
Other values (131) 171
60.9%
2023-12-12T15:57:08.680623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
14.5%
구 81
 
5.9%
동 73
 
5.3%
로 71
 
5.2%
1 68
 
5.0%
길 54
 
3.9%
( 43
 
3.1%
) 43
 
3.1%
5 43
 
3.1%
2 38
 
2.8%
Other values (114) 656
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 755
55.2%
Decimal Number 309
22.6%
Space Separator 198
 
14.5%
Open Punctuation 43
 
3.1%
Close Punctuation 43
 
3.1%
Dash Punctuation 16
 
1.2%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 81
 
10.7%
동 73
 
9.7%
로 71
 
9.4%
길 54
 
7.2%
달 37
 
4.9%
서 36
 
4.8%
성 22
 
2.9%
군 18
 
2.4%
화 16
 
2.1%
읍 15
 
2.0%
Other values (98) 332
44.0%
Decimal Number
ValueCountFrequency (%)
1 68
22.0%
5 43
13.9%
2 38
12.3%
3 33
10.7%
4 29
9.4%
6 25
 
8.1%
7 24
 
7.8%
9 18
 
5.8%
8 16
 
5.2%
0 15
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 755
55.2%
Common 613
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 81
 
10.7%
동 73
 
9.7%
로 71
 
9.4%
길 54
 
7.2%
달 37
 
4.9%
서 36
 
4.8%
성 22
 
2.9%
군 18
 
2.4%
화 16
 
2.1%
읍 15
 
2.0%
Other values (98) 332
44.0%
Common
ValueCountFrequency (%)
198
32.3%
1 68
 
11.1%
( 43
 
7.0%
) 43
 
7.0%
5 43
 
7.0%
2 38
 
6.2%
3 33
 
5.4%
4 29
 
4.7%
6 25
 
4.1%
7 24
 
3.9%
Other values (6) 69
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 755
55.2%
ASCII 613
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
32.3%
1 68
 
11.1%
( 43
 
7.0%
) 43
 
7.0%
5 43
 
7.0%
2 38
 
6.2%
3 33
 
5.4%
4 29
 
4.7%
6 25
 
4.1%
7 24
 
3.9%
Other values (6) 69
 
11.3%
Hangul
ValueCountFrequency (%)
구 81
 
10.7%
동 73
 
9.7%
로 71
 
9.4%
길 54
 
7.2%
달 37
 
4.9%
서 36
 
4.8%
성 22
 
2.9%
군 18
 
2.4%
화 16
 
2.1%
읍 15
 
2.0%
Other values (98) 332
44.0%

전화번호
Text

Distinct79
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T15:57:08.934106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.047059
Min length12

Characters and Unicode

Total characters1024
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

Unique74 ?
Unique (%)87.1%

Sample

1st row053-984-1111
2nd row053-572-7800
3rd row053-642-3300
4th row053-313-2016
5th row053-652-1311
ValueCountFrequency (%)
053-742-9322 3
 
3.5%
053-523-0033 2
 
2.4%
053-623-5340 2
 
2.4%
053-984-1111 2
 
2.4%
053-557-7772~5 2
 
2.4%
053-639-2525 1
 
1.2%
053-323-5762 1
 
1.2%
053-955-7786 1
 
1.2%
053-762-1656 1
 
1.2%
053-472-5202 1
 
1.2%
Other values (69) 69
81.2%
2023-12-12T15:57:09.359117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 170
16.6%
5 166
16.2%
3 163
15.9%
0 138
13.5%
2 80
7.8%
6 63
 
6.2%
7 62
 
6.1%
1 56
 
5.5%
9 52
 
5.1%
8 39
 
3.8%
Other values (2) 35
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 852
83.2%
Dash Punctuation 170
 
16.6%
Math Symbol 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 166
19.5%
3 163
19.1%
0 138
16.2%
2 80
9.4%
6 63
 
7.4%
7 62
 
7.3%
1 56
 
6.6%
9 52
 
6.1%
8 39
 
4.6%
4 33
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 170
16.6%
5 166
16.2%
3 163
15.9%
0 138
13.5%
2 80
7.8%
6 63
 
6.2%
7 62
 
6.1%
1 56
 
5.5%
9 52
 
5.1%
8 39
 
3.8%
Other values (2) 35
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 170
16.6%
5 166
16.2%
3 163
15.9%
0 138
13.5%
2 80
7.8%
6 63
 
6.2%
7 62
 
6.1%
1 56
 
5.5%
9 52
 
5.1%
8 39
 
3.8%
Other values (2) 35
 
3.4%

Interactions

2023-12-12T15:57:05.323086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:05.136194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:05.417219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:05.227887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:57:09.467504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회사명면허대수대표자주소(주사무소)전화번호
연번1.0001.0000.0000.8240.7700.819
회사명1.0001.0001.0001.0001.0001.000
면허대수0.0001.0001.0000.8870.8810.875
대표자0.8241.0000.8871.0000.9930.998
주소(주사무소)0.7701.0000.8810.9931.0000.999
전화번호0.8191.0000.8750.9980.9991.000
2023-12-12T15:57:09.573500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면허대수
연번1.000-0.058
면허대수-0.0581.000

Missing values

2023-12-12T15:57:05.551763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:57:05.686717image/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
01㈜제이에스교통52오순환동구 이노밸리로 134. 3층 301호(각산동.뿌띠끄빌딩)053-984-1111
12경일교통㈜42강석호서구 국채보상로 29(이현동)053-572-7800
23바른협동조합194김윤태달서구 성서4차첨단로 184053-642-3300
34구평기업㈜39하장우북구 침산로 56 1층053-313-2016
45극동자동차㈜55김동원 김상태남구 현충로 117(대명동)053-652-1311
56금성운수㈜64한재동 한대영북구 노원로17길 22(노원동3가)053-353-1161
67금영운수㈜71서상교동구 안심로65길 11053-963-2010
78㈜ 다온택시33기창현 기샛별달성군 다사읍 서재본4길 11053-523-0033
89금옥운수㈜70김인호 김병호서구 북비산로 109053-551-6001
910㈜뉴대우교통54김원일달성군 화원읍 구라1길 57053-742-9322
연번회사명면허대수대표자주소(주사무소)전화번호
7576대기운수㈜40김진수 김대인서구 와룡로70길 8053-552-3232
7677천우택시㈜77권혁만 권병수달서구 월배로5길 13053-633-3881
7778청구택시협동조합83이호영달서구 성서공단북로65길 5(갈산동)053-581-1125
7879K.S택시㈜78김인남수성구 희망로 226053-761-8091
7980통운기업㈜54남승희 류남기동구 안심로90길 31(괴전동)053-984-4595
8081하나교통㈜64고장희달서구 달구벌대로276길 9(장기동)053-557-7772~5
8182하나운수㈜31고장희달서구 달구벌대로276길 9(장기동)053-557-7772~5
8283㈜하나택시67윤여균동구 공항로 277053-981-7797
8384한국택시대구협동조합105조묵연동구 방천로 58(지저동)053-759-8333
8485군위택시8박희일군위군 군위읍 동부리 112-1053-382-3803