Overview

Dataset statistics

Number of variables6
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.9 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description광주광역시 광산구 관내에 위치한 택시업체 현황 정보(업체명, 면허대수, 소재지도로명주소, 전화번호, 데이터기준일자)를 제공합니다.
URLhttps://www.data.go.kr/data/15108770/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:50:00.190469
Analysis finished2023-12-11 22:50:00.777027
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T07:50:00.827617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-12T07:50:00.931179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

업체명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T07:50:01.117610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.962963
Min length4

Characters and Unicode

Total characters188
Distinct characters45
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

Unique27 ?
Unique (%)100.0%

Sample

1st row경도교통(유)
2nd row(합)광영택시
3rd row금화교통
4th row(유)남양택시
5th row(유)대일택시
ValueCountFrequency (%)
경도교통(유 1
 
3.7%
유)영진고속 1
 
3.7%
합)호남운수 1
 
3.7%
행운택시(유 1
 
3.7%
합)한진운수 1
 
3.7%
한일택시(유 1
 
3.7%
한국택시광주협동조합 1
 
3.7%
유)한국교통 1
 
3.7%
통일운수(합 1
 
3.7%
조아교통(합 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T07:50:01.383917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 24
 
12.8%
) 24
 
12.8%
합 13
 
6.9%
통 12
 
6.4%
유 12
 
6.4%
교 11
 
5.9%
시 8
 
4.3%
운 8
 
4.3%
택 8
 
4.3%
수 7
 
3.7%
Other values (35) 61
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
73.9%
Open Punctuation 24
 
12.8%
Close Punctuation 24
 
12.8%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 13
 
9.4%
통 12
 
8.6%
유 12
 
8.6%
교 11
 
7.9%
시 8
 
5.8%
운 8
 
5.8%
택 8
 
5.8%
수 7
 
5.0%
일 6
 
4.3%
한 4
 
2.9%
Other values (32) 50
36.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
74.5%
Common 48
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 13
 
9.3%
통 12
 
8.6%
유 12
 
8.6%
교 11
 
7.9%
시 8
 
5.7%
운 8
 
5.7%
택 8
 
5.7%
수 7
 
5.0%
일 6
 
4.3%
한 4
 
2.9%
Other values (33) 51
36.4%
Common
ValueCountFrequency (%)
( 24
50.0%
) 24
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
73.9%
ASCII 48
 
25.5%
None 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 24
50.0%
) 24
50.0%
Hangul
ValueCountFrequency (%)
합 13
 
9.4%
통 12
 
8.6%
유 12
 
8.6%
교 11
 
7.9%
시 8
 
5.8%
운 8
 
5.8%
택 8
 
5.8%
수 7
 
5.0%
일 6
 
4.3%
한 4
 
2.9%
Other values (32) 50
36.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

면허대수
Real number (ℝ)

Distinct15
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.925926
Minimum30
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T07:50:01.490711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q131
median36
Q346.5
95-th percentile68.4
Maximum98
Range68
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation15.434541
Coefficient of variation (CV)0.36813836
Kurtosis6.0375802
Mean41.925926
Median Absolute Deviation (MAD)6
Skewness2.2427392
Sum1132
Variance238.22507
MonotonicityNot monotonic
2023-12-12T07:50:01.603110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
30 5
18.5%
35 4
14.8%
31 3
11.1%
43 2
 
7.4%
40 2
 
7.4%
36 2
 
7.4%
32 1
 
3.7%
56 1
 
3.7%
52 1
 
3.7%
47 1
 
3.7%
Other values (5) 5
18.5%
ValueCountFrequency (%)
30 5
18.5%
31 3
11.1%
32 1
 
3.7%
35 4
14.8%
36 2
 
7.4%
40 2
 
7.4%
43 2
 
7.4%
46 1
 
3.7%
47 1
 
3.7%
48 1
 
3.7%
ValueCountFrequency (%)
98 1
3.7%
72 1
3.7%
60 1
3.7%
56 1
3.7%
52 1
3.7%
48 1
3.7%
47 1
3.7%
46 1
3.7%
43 2
7.4%
40 2
7.4%

소재지도로명주소
Text

Distinct15
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T07:50:01.755980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length25.296296
Min length22

Characters and Unicode

Total characters683
Distinct characters41
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

Unique8 ?
Unique (%)29.6%

Sample

1st row광주광역시 광산구 북문대로 369 (신창동)
2nd row광주광역시 광산구 북문대로 420번길 92 (신창동)
3rd row광주광역시 광산구 북문대로 369 (신창동)
4th row광주광역시 광산구 목련로 359 (신가동)
5th row광주광역시 광산구 상무대로 441 (신촌동)
ValueCountFrequency (%)
광주광역시 27
20.0%
광산구 27
20.0%
신창동 15
11.1%
신가동 10
 
7.4%
목련로 9
 
6.7%
북문대로 9
 
6.7%
354 4
 
3.0%
363-16 4
 
3.0%
풍영정길 3
 
2.2%
359 3
 
2.2%
Other values (17) 24
17.8%
2023-12-12T07:50:02.033727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
15.8%
광 81
 
11.9%
동 28
 
4.1%
역 27
 
4.0%
시 27
 
4.0%
산 27
 
4.0%
구 27
 
4.0%
주 27
 
4.0%
( 27
 
4.0%
) 27
 
4.0%
Other values (31) 277
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
58.9%
Space Separator 108
 
15.8%
Decimal Number 108
 
15.8%
Open Punctuation 27
 
4.0%
Close Punctuation 27
 
4.0%
Dash Punctuation 11
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 81
20.1%
동 28
 
7.0%
역 27
 
6.7%
시 27
 
6.7%
산 27
 
6.7%
구 27
 
6.7%
주 27
 
6.7%
신 26
 
6.5%
로 24
 
6.0%
창 15
 
3.7%
Other values (17) 93
23.1%
Decimal Number
ValueCountFrequency (%)
3 24
22.2%
4 16
14.8%
6 13
12.0%
5 13
12.0%
1 12
11.1%
9 11
10.2%
2 9
 
8.3%
7 5
 
4.6%
0 4
 
3.7%
8 1
 
0.9%
Space Separator
ValueCountFrequency (%)
108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
58.9%
Common 281
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 81
20.1%
동 28
 
7.0%
역 27
 
6.7%
시 27
 
6.7%
산 27
 
6.7%
구 27
 
6.7%
주 27
 
6.7%
신 26
 
6.5%
로 24
 
6.0%
창 15
 
3.7%
Other values (17) 93
23.1%
Common
ValueCountFrequency (%)
108
38.4%
( 27
 
9.6%
) 27
 
9.6%
3 24
 
8.5%
4 16
 
5.7%
6 13
 
4.6%
5 13
 
4.6%
1 12
 
4.3%
- 11
 
3.9%
9 11
 
3.9%
Other values (4) 19
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
58.9%
ASCII 281
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
38.4%
( 27
 
9.6%
) 27
 
9.6%
3 24
 
8.5%
4 16
 
5.7%
6 13
 
4.6%
5 13
 
4.6%
1 12
 
4.3%
- 11
 
3.9%
9 11
 
3.9%
Other values (4) 19
 
6.8%
Hangul
ValueCountFrequency (%)
광 81
20.1%
동 28
 
7.0%
역 27
 
6.7%
시 27
 
6.7%
산 27
 
6.7%
구 27
 
6.7%
주 27
 
6.7%
신 26
 
6.5%
로 24
 
6.0%
창 15
 
3.7%
Other values (17) 93
23.1%

전화번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T07:50:02.207135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row062-959-6625
2nd row062-953-5651
3rd row062-941-6655
4th row062-953-3133
5th row062-513-3580
ValueCountFrequency (%)
062-959-6625 1
 
3.7%
062-682-4700 1
 
3.7%
062-371-4817 1
 
3.7%
062-941-0304 1
 
3.7%
062-512-1800 1
 
3.7%
062-953-3032 1
 
3.7%
062-362-3800 1
 
3.7%
062-513-5399 1
 
3.7%
062-953-5485 1
 
3.7%
062-524-7224 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T07:50:02.508818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.7%
0 44
13.6%
6 44
13.6%
2 44
13.6%
5 37
11.4%
3 25
7.7%
1 22
6.8%
9 17
 
5.2%
7 16
 
4.9%
4 12
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
16.3%
6 44
16.3%
2 44
16.3%
5 37
13.7%
3 25
9.3%
1 22
8.1%
9 17
 
6.3%
7 16
 
5.9%
4 12
 
4.4%
8 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.7%
0 44
13.6%
6 44
13.6%
2 44
13.6%
5 37
11.4%
3 25
7.7%
1 22
6.8%
9 17
 
5.2%
7 16
 
4.9%
4 12
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.7%
0 44
13.6%
6 44
13.6%
2 44
13.6%
5 37
11.4%
3 25
7.7%
1 22
6.8%
9 17
 
5.2%
7 16
 
4.9%
4 12
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2022-12-31
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 27
100.0%

Length

2023-12-12T07:50:02.632817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:50:02.708058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 27
100.0%

Interactions

2023-12-12T07:50:00.508996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:50:00.367233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:50:00.572701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:50:00.437310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:50:02.759047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명면허대수소재지도로명주소전화번호
연번1.0001.0000.0520.4191.000
업체명1.0001.0001.0001.0001.000
면허대수0.0521.0001.0000.9251.000
소재지도로명주소0.4191.0000.9251.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-12T07:50:02.839616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면허대수
연번1.0000.179
면허대수0.1791.000

Missing values

2023-12-12T07:50:00.663068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:50:00.744745image/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

연번업체명면허대수소재지도로명주소전화번호데이터기준일자
01경도교통(유)30광주광역시 광산구 북문대로 369 (신창동)062-959-66252022-12-31
12(합)광영택시32광주광역시 광산구 북문대로 420번길 92 (신창동)062-953-56512022-12-31
23금화교통35광주광역시 광산구 북문대로 369 (신창동)062-941-66552022-12-31
34(유)남양택시30광주광역시 광산구 목련로 359 (신가동)062-953-31332022-12-31
45(유)대일택시56광주광역시 광산구 상무대로 441 (신촌동)062-513-35802022-12-31
56(유)도일운수31광주광역시 광산구 목련로 354 (신가동)062-953-17512022-12-31
67부경운수㈜52광주광역시 광산구 동곡로 546 (장록동)062-366-56642022-12-31
78삼원교통(합)35광주광역시 광산구 북문대로 363-16 (신창동)062-571-55212022-12-31
89(유)서광교통43광주광역시 광산구 풍영정길 179-1 (신창동)062-956-22112022-12-31
910(합)서호교통40광주광역시 광산구 북문대로420번길 92 (신창동)062-959-33692022-12-31
연번업체명면허대수소재지도로명주소전화번호데이터기준일자
1718제일택시(합)98광주광역시 광산구 목련로354 (신가동)062-525-28772022-12-31
1819조아교통(합)35광주광역시 광산구 북문대로 341-7 (신창동)062-524-72242022-12-31
1920통일운수(합)30광주광역시 광산구 풍영정길 345-27 (신창동)062-953-54852022-12-31
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