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: 2024년 4월 4일, 업체리스트, 대표자, 연락처)
Author대구광역시
URLhttps://www.data.go.kr/data/15069111/fileData.do

Alerts

연번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-05-04 07:43:49.056365
Analysis finished2024-05-04 07:43:53.797095
Duration4.74 seconds
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
2024-05-04T07:43:54.061308image/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
2024-05-04T07:43:54.477035image/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
2024-05-04T07:43:55.391162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.4235294
Min length6

Characters and Unicode

Total characters631
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row경일교통(주)
2nd row구평기업(주)
3rd row군위택시(합명)
4th row극동자동차(주)
5th row금성운수(주)
ValueCountFrequency (%)
경일교통(주 1
 
1.1%
아주운수(주 1
 
1.1%
우리택시(합 1
 
1.1%
주)우리교통 1
 
1.1%
용성운수(주 1
 
1.1%
영진운수(주 1
 
1.1%
영일택시(주 1
 
1.1%
알파택시(주 1
 
1.1%
안덕교통(주 1
 
1.1%
주)신대우택시 1
 
1.1%
Other values (77) 77
88.5%
2024-05-04T07:43:56.784618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 71
 
11.3%
) 71
 
11.3%
주 68
 
10.8%
시 38
 
6.0%
택 37
 
5.9%
동 26
 
4.1%
대 23
 
3.6%
운 23
 
3.6%
수 21
 
3.3%
교 19
 
3.0%
Other values (76) 234
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
76.7%
Open Punctuation 71
 
11.3%
Close Punctuation 71
 
11.3%
Space Separator 2
 
0.3%
Uppercase Letter 2
 
0.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 68
 
14.0%
시 38
 
7.9%
택 37
 
7.6%
동 26
 
5.4%
대 23
 
4.8%
운 23
 
4.8%
수 21
 
4.3%
교 19
 
3.9%
통 19
 
3.9%
합 18
 
3.7%
Other values (70) 192
39.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 484
76.7%
Common 145
 
23.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 68
 
14.0%
시 38
 
7.9%
택 37
 
7.6%
동 26
 
5.4%
대 23
 
4.8%
운 23
 
4.8%
수 21
 
4.3%
교 19
 
3.9%
통 19
 
3.9%
합 18
 
3.7%
Other values (70) 192
39.7%
Common
ValueCountFrequency (%)
( 71
49.0%
) 71
49.0%
2
 
1.4%
. 1
 
0.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
76.7%
ASCII 147
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 71
48.3%
) 71
48.3%
2
 
1.4%
. 1
 
0.7%
K 1
 
0.7%
S 1
 
0.7%
Hangul
ValueCountFrequency (%)
주 68
 
14.0%
시 38
 
7.9%
택 37
 
7.6%
동 26
 
5.4%
대 23
 
4.8%
운 23
 
4.8%
수 21
 
4.3%
교 19
 
3.9%
통 19
 
3.9%
합 18
 
3.7%
Other values (70) 192
39.7%

면허대수
Real number (ℝ)

Distinct55
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.623529
Minimum8
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-04T07:43:57.270726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile32
Q148
median60
Q380
95-th percentile104.8
Maximum247
Range239
Interquartile range (IQR)32

Descriptive statistics

Standard deviation34.148826
Coefficient of variation (CV)0.51256404
Kurtosis12.969736
Mean66.623529
Median Absolute Deviation (MAD)14
Skewness2.9088139
Sum5663
Variance1166.1423
MonotonicityNot monotonic
2024-05-04T07:43:57.841513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 5
 
5.9%
54 4
 
4.7%
36 3
 
3.5%
74 3
 
3.5%
46 3
 
3.5%
60 3
 
3.5%
42 2
 
2.4%
67 2
 
2.4%
92 2
 
2.4%
32 2
 
2.4%
Other values (45) 56
65.9%
ValueCountFrequency (%)
8 1
 
1.2%
30 2
2.4%
31 1
 
1.2%
32 2
2.4%
33 1
 
1.2%
35 1
 
1.2%
36 3
3.5%
37 1
 
1.2%
39 1
 
1.2%
41 1
 
1.2%
ValueCountFrequency (%)
247 1
1.2%
223 1
1.2%
126 1
1.2%
106 1
1.2%
105 1
1.2%
104 1
1.2%
100 1
1.2%
97 1
1.2%
95 1
1.2%
93 1
1.2%

대표자
Text

Distinct71
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-04T07:43:58.425853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.5294118
Min length3

Characters and Unicode

Total characters300
Distinct characters80
Distinct categories3 ?
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 row강석호
2nd row하장우
3rd row박희일
4th row김동원,김상태
5th row한재동,한대영
ValueCountFrequency (%)
김원일 5
 
5.8%
곽영호 4
 
4.7%
이승훈 3
 
3.5%
고장희 3
 
3.5%
기창현 2
 
2.3%
김영오 2
 
2.3%
오순환 2
 
2.3%
강석호 2
 
2.3%
김영만 2
 
2.3%
박창동 1
 
1.2%
Other values (60) 60
69.8%
2024-05-04T07:43:59.816023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 30
 
10.0%
영 12
 
4.0%
호 11
 
3.7%
, 10
 
3.3%
이 9
 
3.0%
기 8
 
2.7%
박 8
 
2.7%
동 7
 
2.3%
상 7
 
2.3%
우 7
 
2.3%
Other values (70) 191
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
95.0%
Other Punctuation 10
 
3.3%
Space Separator 5
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 30
 
10.5%
영 12
 
4.2%
호 11
 
3.9%
이 9
 
3.2%
기 8
 
2.8%
박 8
 
2.8%
동 7
 
2.5%
상 7
 
2.5%
우 7
 
2.5%
수 6
 
2.1%
Other values (68) 180
63.2%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
95.0%
Common 15
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 30
 
10.5%
영 12
 
4.2%
호 11
 
3.9%
이 9
 
3.2%
기 8
 
2.8%
박 8
 
2.8%
동 7
 
2.5%
상 7
 
2.5%
우 7
 
2.5%
수 6
 
2.1%
Other values (68) 180
63.2%
Common
ValueCountFrequency (%)
, 10
66.7%
5
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
95.0%
ASCII 15
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 30
 
10.5%
영 12
 
4.2%
호 11
 
3.9%
이 9
 
3.2%
기 8
 
2.8%
박 8
 
2.8%
동 7
 
2.5%
상 7
 
2.5%
우 7
 
2.5%
수 6
 
2.1%
Other values (68) 180
63.2%
ASCII
ValueCountFrequency (%)
, 10
66.7%
5
33.3%

주소(주사무소)
Text

Distinct69
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-04T07:44:00.780864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length16.152941
Min length10

Characters and Unicode

Total characters1373
Distinct characters125
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

Unique57 ?
Unique (%)67.1%

Sample

1st row서구 국채보상로 29(이현동)
2nd row북구 침산로 56 1층
3rd row군위군 군위읍 동부리 112-1
4th row남구 현충로 117(대명동)
5th row북구 노원로17길 22(노원동3가)
ValueCountFrequency (%)
동구 29
 
10.3%
달서구 18
 
6.4%
달성군 15
 
5.3%
서구 10
 
3.6%
화원읍 10
 
3.6%
57 6
 
2.1%
구라1길 6
 
2.1%
남구 6
 
2.1%
신평로 5
 
1.8%
안심로65길 4
 
1.4%
Other values (131) 172
61.2%
2024-05-04T07:44:02.958711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
14.4%
구 82
 
6.0%
동 74
 
5.4%
로 71
 
5.2%
1 69
 
5.0%
길 54
 
3.9%
) 43
 
3.1%
( 43
 
3.1%
5 42
 
3.1%
2 38
 
2.8%
Other values (115) 659
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 762
55.5%
Decimal Number 308
22.4%
Space Separator 198
 
14.4%
Close Punctuation 43
 
3.1%
Open Punctuation 43
 
3.1%
Dash Punctuation 15
 
1.1%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 82
 
10.8%
동 74
 
9.7%
로 71
 
9.3%
길 54
 
7.1%
달 36
 
4.7%
서 35
 
4.6%
성 22
 
2.9%
군 18
 
2.4%
화 16
 
2.1%
읍 15
 
2.0%
Other values (100) 339
44.5%
Decimal Number
ValueCountFrequency (%)
1 69
22.4%
5 42
13.6%
2 38
12.3%
3 33
10.7%
4 27
 
8.8%
6 25
 
8.1%
7 25
 
8.1%
9 18
 
5.8%
8 16
 
5.2%
0 15
 
4.9%
Space Separator
ValueCountFrequency (%)
198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
55.5%
Common 611
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 82
 
10.8%
동 74
 
9.7%
로 71
 
9.3%
길 54
 
7.1%
달 36
 
4.7%
서 35
 
4.6%
성 22
 
2.9%
군 18
 
2.4%
화 16
 
2.1%
읍 15
 
2.0%
Other values (100) 339
44.5%
Common
ValueCountFrequency (%)
198
32.4%
1 69
 
11.3%
) 43
 
7.0%
( 43
 
7.0%
5 42
 
6.9%
2 38
 
6.2%
3 33
 
5.4%
4 27
 
4.4%
6 25
 
4.1%
7 25
 
4.1%
Other values (5) 68
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
55.5%
ASCII 611
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
32.4%
1 69
 
11.3%
) 43
 
7.0%
( 43
 
7.0%
5 42
 
6.9%
2 38
 
6.2%
3 33
 
5.4%
4 27
 
4.4%
6 25
 
4.1%
7 25
 
4.1%
Other values (5) 68
 
11.1%
Hangul
ValueCountFrequency (%)
구 82
 
10.8%
동 74
 
9.7%
로 71
 
9.3%
길 54
 
7.1%
달 36
 
4.7%
서 35
 
4.6%
성 22
 
2.9%
군 18
 
2.4%
화 16
 
2.1%
읍 15
 
2.0%
Other values (100) 339
44.5%

전화번호
Text

Distinct78
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-04T07:44:03.570770image/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

Unique72 ?
Unique (%)84.7%

Sample

1st row053-572-7800
2nd row053-313-2016
3rd row054-382-3803
4th row053-652-1311
5th row053-353-1161
ValueCountFrequency (%)
053-742-9322 3
 
3.5%
053-623-5340 2
 
2.4%
053-523-0033 2
 
2.4%
053-571-3700 2
 
2.4%
053-761-0358 2
 
2.4%
053-557-7772~5 2
 
2.4%
053-572-7800 1
 
1.2%
053-559-3439 1
 
1.2%
053-744-6237 1
 
1.2%
053-633-1535 1
 
1.2%
Other values (68) 68
80.0%
2024-05-04T07:44:04.837017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 170
16.6%
5 163
15.9%
3 160
15.6%
0 145
14.2%
2 75
7.3%
7 67
 
6.5%
6 65
 
6.3%
1 55
 
5.4%
9 52
 
5.1%
8 39
 
3.8%
Other values (2) 33
 
3.2%

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 (%)
5 163
19.1%
3 160
18.8%
0 145
17.0%
2 75
8.8%
7 67
7.9%
6 65
 
7.6%
1 55
 
6.5%
9 52
 
6.1%
8 39
 
4.6%
4 31
 
3.6%
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%
5 163
15.9%
3 160
15.6%
0 145
14.2%
2 75
7.3%
7 67
 
6.5%
6 65
 
6.3%
1 55
 
5.4%
9 52
 
5.1%
8 39
 
3.8%
Other values (2) 33
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 170
16.6%
5 163
15.9%
3 160
15.6%
0 145
14.2%
2 75
7.3%
7 67
 
6.5%
6 65
 
6.3%
1 55
 
5.4%
9 52
 
5.1%
8 39
 
3.8%
Other values (2) 33
 
3.2%

Interactions

2024-05-04T07:43:52.089416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:43:51.430225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:43:52.489138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:43:51.740594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T07:44:05.201463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회사명면허대수대표자주소(주사무소)전화번호
연번1.0001.0000.0000.9120.8470.936
회사명1.0001.0001.0001.0001.0001.000
면허대수0.0001.0001.0000.9370.7330.918
대표자0.9121.0000.9371.0000.9960.999
주소(주사무소)0.8471.0000.7330.9961.0001.000
전화번호0.9361.0000.9180.9991.0001.000
2024-05-04T07:44:05.401100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면허대수
연번1.0000.184
면허대수0.1841.000

Missing values

2024-05-04T07:43:53.081561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:43:53.549106image/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
01경일교통(주)42강석호서구 국채보상로 29(이현동)053-572-7800
12구평기업(주)39하장우북구 침산로 56 1층053-313-2016
23군위택시(합명)8박희일군위군 군위읍 동부리 112-1054-382-3803
34극동자동차(주)55김동원,김상태남구 현충로 117(대명동)053-652-1311
45금성운수(주)64한재동,한대영북구 노원로17길 22(노원동3가)053-353-1161
56금영운수(주)59서상교동구 안심로65길 11053-963-2010
67금옥운수(주)70김인호,김병호서구 북비산로 109053-551-6001
78네오택시협동조합30김호상달성군 논공읍 노이길 176053-623-1507
89(주)뉴대우교통54김원일달성군 화원읍 구라1길 57053-742-9322
910(주)뉴대우택시55김원일달성군 화원읍 구라1길 57053-623-5340
연번회사명면허대수대표자주소(주사무소)전화번호
7576청구택시협동조합83이호영달서구 성서공단북로65길 5(갈산동)053-581-1125
7677청운교통(주)49기창현달성군 다사읍 서재본4길 11053-523-0033
7778통운기업(주)54남승희,류남기동구 안심로90길 31(괴전동)053-984-4595
7879팔공희망택시협동조합92신현섭동구 반야월북로12길 14-9053-766-8503
7980하나교통(주)66고장희달서구 달구벌대로276길 9(장기동)053-557-7772~5
8081하나운수(주)41고장희달서구 달구벌대로276길 9(장기동)053-557-7772~5
8182(주)하나택시67윤여균동구 공항로 277053-981-7797
8283한국택시대구협동조합105조묵연동구 방천로 58(지저동)053-759-8333
8384행복한택시(주)52오순환, 김영오동구 이노밸리로26길 9(각산동)053-981-0666
8485K.S택시(주)80김인남수성구 희망로 226053-761-8091