Overview

Dataset statistics

Number of variables5
Number of observations121
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory42.1 B

Variable types

Text4
Numeric1

Dataset

Description경상남도 내 택시 업체 현황입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083979

Reproduction

Analysis started2023-12-10 22:38:38.645828
Analysis finished2023-12-10 22:38:39.096365
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업 체 명
Text

Distinct120
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:38:39.274417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.7272727
Min length4

Characters and Unicode

Total characters935
Distinct characters93
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)98.3%

Sample

1st row㈜창원택시
2nd row(유)신 일 교 통
3rd row㈜금호운수
4th row㈜광덕운수
5th row㈜동성택시
ValueCountFrequency (%)
택 40
 
12.8%
시 37
 
11.9%
교 18
 
5.8%
통 16
 
5.1%
일 9
 
2.9%
성 7
 
2.2%
유)삼 6
 
1.9%
수 5
 
1.6%
유)진 5
 
1.6%
운 5
 
1.6%
Other values (130) 164
52.6%
2023-12-11T07:38:39.605623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
20.4%
택 83
 
8.9%
시 83
 
8.9%
) 65
 
7.0%
( 65
 
7.0%
㈜ 42
 
4.5%
유 38
 
4.1%
통 30
 
3.2%
교 28
 
3.0%
합 24
 
2.6%
Other values (83) 286
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
59.7%
Space Separator 191
 
20.4%
Close Punctuation 65
 
7.0%
Open Punctuation 65
 
7.0%
Other Symbol 42
 
4.5%
Decimal Number 11
 
1.2%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
택 83
 
14.9%
시 83
 
14.9%
유 38
 
6.8%
통 30
 
5.4%
교 28
 
5.0%
합 24
 
4.3%
일 20
 
3.6%
성 15
 
2.7%
진 13
 
2.3%
신 13
 
2.3%
Other values (71) 211
37.8%
Decimal Number
ValueCountFrequency (%)
0 7
63.6%
1 1
 
9.1%
2 1
 
9.1%
7 1
 
9.1%
8 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 600
64.2%
Common 333
35.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
택 83
 
13.8%
시 83
 
13.8%
㈜ 42
 
7.0%
유 38
 
6.3%
통 30
 
5.0%
교 28
 
4.7%
합 24
 
4.0%
일 20
 
3.3%
성 15
 
2.5%
진 13
 
2.2%
Other values (72) 224
37.3%
Common
ValueCountFrequency (%)
191
57.4%
) 65
 
19.5%
( 65
 
19.5%
0 7
 
2.1%
. 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
59.7%
ASCII 335
35.8%
None 42
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
57.0%
) 65
 
19.4%
( 65
 
19.4%
0 7
 
2.1%
M 1
 
0.3%
S 1
 
0.3%
. 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%
7 1
 
0.3%
Hangul
ValueCountFrequency (%)
택 83
 
14.9%
시 83
 
14.9%
유 38
 
6.8%
통 30
 
5.4%
교 28
 
5.0%
합 24
 
4.3%
일 20
 
3.6%
성 15
 
2.7%
진 13
 
2.3%
신 13
 
2.3%
Other values (71) 211
37.8%
None
ValueCountFrequency (%)
㈜ 42
100.0%

대표자
Text

Distinct115
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:38:39.871660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters363
Distinct characters118
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)90.9%

Sample

1st row서준수
2nd row박구영
3rd row김기동
4th row조기춘
5th row허종길
ValueCountFrequency (%)
박세곤 3
 
2.5%
조재화 2
 
1.7%
김미령 2
 
1.7%
주장천 2
 
1.7%
조기춘 2
 
1.7%
오연화 1
 
0.8%
박순철 1
 
0.8%
조원종 1
 
0.8%
김유진 1
 
0.8%
김규찬 1
 
0.8%
Other values (105) 105
86.8%
2023-12-11T07:38:40.269083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 18
 
5.0%
김 16
 
4.4%
영 13
 
3.6%
조 12
 
3.3%
박 11
 
3.0%
기 10
 
2.8%
정 10
 
2.8%
재 9
 
2.5%
종 9
 
2.5%
수 8
 
2.2%
Other values (108) 247
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 18
 
5.0%
김 16
 
4.4%
영 13
 
3.6%
조 12
 
3.3%
박 11
 
3.0%
기 10
 
2.8%
정 10
 
2.8%
재 9
 
2.5%
종 9
 
2.5%
수 8
 
2.2%
Other values (108) 247
68.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 18
 
5.0%
김 16
 
4.4%
영 13
 
3.6%
조 12
 
3.3%
박 11
 
3.0%
기 10
 
2.8%
정 10
 
2.8%
재 9
 
2.5%
종 9
 
2.5%
수 8
 
2.2%
Other values (108) 247
68.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 18
 
5.0%
김 16
 
4.4%
영 13
 
3.6%
조 12
 
3.3%
박 11
 
3.0%
기 10
 
2.8%
정 10
 
2.8%
재 9
 
2.5%
종 9
 
2.5%
수 8
 
2.2%
Other values (108) 247
68.0%

면허대수
Real number (ℝ)

Distinct60
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.454545
Minimum5
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:38:40.389753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile15
Q121
median40
Q356
95-th percentile80
Maximum101
Range96
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.571586
Coefficient of variation (CV)0.52036721
Kurtosis-0.67528295
Mean41.454545
Median Absolute Deviation (MAD)18
Skewness0.44815547
Sum5016
Variance465.33333
MonotonicityNot monotonic
2023-12-11T07:38:40.694997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 8
 
6.6%
46 6
 
5.0%
30 5
 
4.1%
55 4
 
3.3%
15 4
 
3.3%
16 4
 
3.3%
64 4
 
3.3%
23 4
 
3.3%
50 3
 
2.5%
73 3
 
2.5%
Other values (50) 76
62.8%
ValueCountFrequency (%)
5 1
 
0.8%
12 2
 
1.7%
14 2
 
1.7%
15 4
3.3%
16 4
3.3%
17 8
6.6%
18 3
 
2.5%
19 2
 
1.7%
20 3
 
2.5%
21 3
 
2.5%
ValueCountFrequency (%)
101 1
 
0.8%
90 1
 
0.8%
87 1
 
0.8%
84 1
 
0.8%
82 1
 
0.8%
81 1
 
0.8%
80 1
 
0.8%
78 1
 
0.8%
73 3
2.5%
72 1
 
0.8%

주 소
Text

Distinct115
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:38:40.876881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length17.338843
Min length9

Characters and Unicode

Total characters2098
Distinct characters154
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

Unique109 ?
Unique (%)90.1%

Sample

1st row창원시 성산구 정동로162번길 36
2nd row창원시 의창구 차상로185
3rd row창원시 성산구 정동로162번길 18
4th row창원시 성산구 정동로162번길 20
5th row창원시 의창구 사화로302
ValueCountFrequency (%)
창원시 35
 
8.1%
마산회원구 17
 
3.9%
진주시 15
 
3.5%
마산합포구 7
 
1.6%
내서읍 7
 
1.6%
사천시 7
 
1.6%
창녕군 6
 
1.4%
밀양시 6
 
1.4%
김해시 6
 
1.4%
거창군 5
 
1.2%
Other values (244) 321
74.3%
2023-12-11T07:38:41.183606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
 
14.8%
1 110
 
5.2%
로 89
 
4.2%
시 86
 
4.1%
2 61
 
2.9%
길 58
 
2.8%
창 57
 
2.7%
원 53
 
2.5%
산 51
 
2.4%
3 50
 
2.4%
Other values (144) 1172
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1273
60.7%
Decimal Number 431
 
20.5%
Space Separator 311
 
14.8%
Dash Punctuation 33
 
1.6%
Open Punctuation 25
 
1.2%
Close Punctuation 25
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 89
 
7.0%
시 86
 
6.8%
길 58
 
4.6%
창 57
 
4.5%
원 53
 
4.2%
산 51
 
4.0%
동 48
 
3.8%
군 39
 
3.1%
구 35
 
2.7%
면 34
 
2.7%
Other values (130) 723
56.8%
Decimal Number
ValueCountFrequency (%)
1 110
25.5%
2 61
14.2%
3 50
11.6%
4 38
 
8.8%
6 37
 
8.6%
5 36
 
8.4%
8 27
 
6.3%
9 26
 
6.0%
7 24
 
5.6%
0 22
 
5.1%
Space Separator
ValueCountFrequency (%)
311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1273
60.7%
Common 825
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 89
 
7.0%
시 86
 
6.8%
길 58
 
4.6%
창 57
 
4.5%
원 53
 
4.2%
산 51
 
4.0%
동 48
 
3.8%
군 39
 
3.1%
구 35
 
2.7%
면 34
 
2.7%
Other values (130) 723
56.8%
Common
ValueCountFrequency (%)
311
37.7%
1 110
 
13.3%
2 61
 
7.4%
3 50
 
6.1%
4 38
 
4.6%
6 37
 
4.5%
5 36
 
4.4%
- 33
 
4.0%
8 27
 
3.3%
9 26
 
3.2%
Other values (4) 96
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1273
60.7%
ASCII 825
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
37.7%
1 110
 
13.3%
2 61
 
7.4%
3 50
 
6.1%
4 38
 
4.6%
6 37
 
4.5%
5 36
 
4.4%
- 33
 
4.0%
8 27
 
3.3%
9 26
 
3.2%
Other values (4) 96
 
11.6%
Hangul
ValueCountFrequency (%)
로 89
 
7.0%
시 86
 
6.8%
길 58
 
4.6%
창 57
 
4.5%
원 53
 
4.2%
산 51
 
4.0%
동 48
 
3.8%
군 39
 
3.1%
구 35
 
2.7%
면 34
 
2.7%
Other values (130) 723
56.8%

전화번호
Text

Distinct119
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:38:41.390666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016529
Min length12

Characters and Unicode

Total characters1454
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

Unique117 ?
Unique (%)96.7%

Sample

1st row055-282-3532
2nd row055-298-0754
3rd row055-262-0764
4th row055-281-2111
5th row055-296-0646
ValueCountFrequency (%)
070-4226-4730 2
 
1.7%
055-272-0051 2
 
1.7%
055-973-2038 1
 
0.8%
055-681-3441 1
 
0.8%
055-582-6000 1
 
0.8%
055-587-4477 1
 
0.8%
055-572-7715 1
 
0.8%
055-573-2735 1
 
0.8%
055-574-3003 1
 
0.8%
055-573-5555 1
 
0.8%
Other values (109) 109
90.1%
2023-12-11T07:38:41.696267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 325
22.4%
- 242
16.6%
0 207
14.2%
3 125
 
8.6%
2 116
 
8.0%
6 84
 
5.8%
1 82
 
5.6%
7 81
 
5.6%
8 74
 
5.1%
4 72
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1212
83.4%
Dash Punctuation 242
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 325
26.8%
0 207
17.1%
3 125
 
10.3%
2 116
 
9.6%
6 84
 
6.9%
1 82
 
6.8%
7 81
 
6.7%
8 74
 
6.1%
4 72
 
5.9%
9 46
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1454
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 325
22.4%
- 242
16.6%
0 207
14.2%
3 125
 
8.6%
2 116
 
8.0%
6 84
 
5.8%
1 82
 
5.6%
7 81
 
5.6%
8 74
 
5.1%
4 72
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 325
22.4%
- 242
16.6%
0 207
14.2%
3 125
 
8.6%
2 116
 
8.0%
6 84
 
5.8%
1 82
 
5.6%
7 81
 
5.6%
8 74
 
5.1%
4 72
 
5.0%

Interactions

2023-12-11T07:38:38.873648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T07:38:38.975128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:38:39.065161image/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

업 체 명대표자면허대수주 소전화번호
0㈜창원택시서준수87창원시 성산구 정동로162번길 36055-282-3532
1(유)신 일 교 통박구영64창원시 의창구 차상로185055-298-0754
2㈜금호운수김기동40창원시 성산구 정동로162번길 18055-262-0764
3㈜광덕운수조기춘56창원시 성산구 정동로162번길 20055-281-2111
4㈜동성택시허종길51창원시 의창구 사화로302055-296-0646
5(유)동 호 택 시정호식66창원시 의창구 북면 천주로929055-298-0500
6(유)일 광 택 시변홍섭40창원시 의창구 북면 천주로862번길 82055-251-0005
7(유)경 남 교 통류재원56창원시 마산회원구 회성북1길 80055-231-7766
8(유)광 동 택 시김현동73창원시 마산회원구 봉양로187055-242-9103
9㈜남성택시이준호50창원시 마산회원구 내서읍 호계본동1길 115055-232-3222
업 체 명대표자면허대수주 소전화번호
111(자)세 일 택 시임봉택14함양군 함양읍 용평3길 9055-963-4000
112(합자) 지 리 산 택 시박충성16함양군 함양읍 함양로 1243-1055-963-3456
113(합)신 택 시이재청16거창군 가조면 지산로 1496번지055-942-1231
114(합)신 창 택 시남기현18거창군 거창읍 거열로 133번지055-943-9992
115(합)거 창 택 시정옥식12거창군 거창읍 강남로 52-1번지055-944-7077
116(합)삼 양 택 시전병두22거창군 거창읍 거함대로5길 51055-944-3838
117㈜거창80번택시박현보40거창군 거창읍 중앙로1길 124번지055-944-2080
118(유)삼 일 교 통백종범30합천군 합천읍 중앙로 81-1055-931-3131
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