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 22:38:47.657599
Analysis finished2023-12-10 22:38:48.104639
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
2023-12-11T07:38:48.348820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.6198347
Min length4

Characters and Unicode

Total characters801
Distinct characters95
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

Unique119 ?
Unique (%)98.3%

Sample

1st row(주)창원택시
2nd row(유)신일교통
3rd row(주)금호운수
4th row(주)광덕운수
5th row(주)동성택시
ValueCountFrequency (%)
제일택시 2
 
1.7%
주)창원택시 1
 
0.8%
㈜s.m택시 1
 
0.8%
유)통일택시 1
 
0.8%
㈜칠원택시 1
 
0.8%
유)삼성택시 1
 
0.8%
유)금성운수 1
 
0.8%
합)신반택시 1
 
0.8%
㈜의령택시 1
 
0.8%
주)웅상택시 1
 
0.8%
Other values (110) 110
90.9%
2023-12-11T07:38:48.811170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 89
 
11.1%
) 89
 
11.1%
택 85
 
10.6%
시 85
 
10.6%
유 36
 
4.5%
통 29
 
3.6%
교 27
 
3.4%
합 27
 
3.4%
주 26
 
3.2%
일 19
 
2.4%
Other values (85) 289
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 593
74.0%
Open Punctuation 89
 
11.1%
Close Punctuation 89
 
11.1%
Other Symbol 16
 
2.0%
Decimal Number 11
 
1.4%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
택 85
 
14.3%
시 85
 
14.3%
유 36
 
6.1%
통 29
 
4.9%
교 27
 
4.6%
합 27
 
4.6%
주 26
 
4.4%
일 19
 
3.2%
성 16
 
2.7%
진 13
 
2.2%
Other values (74) 230
38.8%
Decimal Number
ValueCountFrequency (%)
0 7
63.6%
8 1
 
9.1%
1 1
 
9.1%
2 1
 
9.1%
7 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
76.0%
Common 190
 
23.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
택 85
 
14.0%
시 85
 
14.0%
유 36
 
5.9%
통 29
 
4.8%
교 27
 
4.4%
합 27
 
4.4%
주 26
 
4.3%
일 19
 
3.1%
㈜ 16
 
2.6%
성 16
 
2.6%
Other values (75) 243
39.9%
Common
ValueCountFrequency (%)
( 89
46.8%
) 89
46.8%
0 7
 
3.7%
. 1
 
0.5%
8 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
7 1
 
0.5%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 593
74.0%
ASCII 192
 
24.0%
None 16
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 89
46.4%
) 89
46.4%
0 7
 
3.6%
S 1
 
0.5%
. 1
 
0.5%
M 1
 
0.5%
8 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
7 1
 
0.5%
Hangul
ValueCountFrequency (%)
택 85
 
14.3%
시 85
 
14.3%
유 36
 
6.1%
통 29
 
4.9%
교 27
 
4.6%
합 27
 
4.6%
주 26
 
4.4%
일 19
 
3.2%
성 16
 
2.7%
진 13
 
2.2%
Other values (74) 230
38.8%
None
ValueCountFrequency (%)
㈜ 16
100.0%

대표자
Text

Distinct115
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:38:49.091715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0330579
Min length3

Characters and Unicode

Total characters367
Distinct characters117
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

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%
이영환 1
 
0.8%
조원종 1
 
0.8%
김유진 1
 
0.8%
김규찬 1
 
0.8%
Other values (105) 105
86.8%
2023-12-11T07:38:49.478114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 20
 
5.4%
김 15
 
4.1%
영 15
 
4.1%
조 12
 
3.3%
박 11
 
3.0%
정 10
 
2.7%
기 10
 
2.7%
종 9
 
2.5%
재 8
 
2.2%
호 8
 
2.2%
Other values (107) 249
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
99.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 20
 
5.5%
김 15
 
4.1%
영 15
 
4.1%
조 12
 
3.3%
박 11
 
3.0%
정 10
 
2.7%
기 10
 
2.7%
종 9
 
2.5%
재 8
 
2.2%
호 8
 
2.2%
Other values (106) 248
67.8%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 20
 
5.5%
김 15
 
4.1%
영 15
 
4.1%
조 12
 
3.3%
박 11
 
3.0%
정 10
 
2.7%
기 10
 
2.7%
종 9
 
2.5%
재 8
 
2.2%
호 8
 
2.2%
Other values (106) 248
67.8%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 20
 
5.5%
김 15
 
4.1%
영 15
 
4.1%
조 12
 
3.3%
박 11
 
3.0%
정 10
 
2.7%
기 10
 
2.7%
종 9
 
2.5%
재 8
 
2.2%
호 8
 
2.2%
Other values (106) 248
67.8%
ASCII
ValueCountFrequency (%)
, 1
100.0%

면허대수
Real number (ℝ)

Distinct58
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.628099
Minimum2
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:38:49.611599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q117
median40
Q355
95-th percentile73
Maximum81
Range79
Interquartile range (IQR)38

Descriptive statistics

Standard deviation21.950753
Coefficient of variation (CV)0.58336065
Kurtosis-1.1692409
Mean37.628099
Median Absolute Deviation (MAD)21
Skewness0.19717315
Sum4553
Variance481.83554
MonotonicityNot monotonic
2023-12-11T07:38:49.747466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 7
 
5.8%
19 6
 
5.0%
10 6
 
5.0%
13 5
 
4.1%
52 4
 
3.3%
15 3
 
2.5%
42 3
 
2.5%
14 3
 
2.5%
47 3
 
2.5%
22 3
 
2.5%
Other values (48) 78
64.5%
ValueCountFrequency (%)
2 1
 
0.8%
5 2
 
1.7%
6 1
 
0.8%
7 2
 
1.7%
8 2
 
1.7%
10 6
5.0%
12 2
 
1.7%
13 5
4.1%
14 3
2.5%
15 3
2.5%
ValueCountFrequency (%)
81 1
 
0.8%
80 2
1.7%
78 1
 
0.8%
74 1
 
0.8%
73 3
2.5%
72 1
 
0.8%
71 2
1.7%
70 2
1.7%
69 1
 
0.8%
68 1
 
0.8%

주 소
Text

Distinct115
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:38:50.039837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length17.338843
Min length9

Characters and Unicode

Total characters2098
Distinct characters156
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%
사천시 7
 
1.6%
마산합포구 7
 
1.6%
내서읍 7
 
1.6%
창녕군 6
 
1.4%
밀양시 6
 
1.4%
김해시 6
 
1.4%
거창군 5
 
1.2%
Other values (247) 323
74.4%
2023-12-11T07:38:50.475133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
313
 
14.9%
1 114
 
5.4%
시 86
 
4.1%
로 86
 
4.1%
길 60
 
2.9%
창 57
 
2.7%
2 57
 
2.7%
원 53
 
2.5%
산 51
 
2.4%
3 48
 
2.3%
Other values (146) 1173
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1271
60.6%
Decimal Number 433
 
20.6%
Space Separator 313
 
14.9%
Dash Punctuation 35
 
1.7%
Open Punctuation 23
 
1.1%
Close Punctuation 23
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 86
 
6.8%
로 86
 
6.8%
길 60
 
4.7%
창 57
 
4.5%
원 53
 
4.2%
산 51
 
4.0%
동 45
 
3.5%
군 39
 
3.1%
구 35
 
2.8%
면 35
 
2.8%
Other values (132) 724
57.0%
Decimal Number
ValueCountFrequency (%)
1 114
26.3%
2 57
13.2%
3 48
11.1%
4 39
 
9.0%
5 37
 
8.5%
6 36
 
8.3%
9 27
 
6.2%
8 27
 
6.2%
7 26
 
6.0%
0 22
 
5.1%
Space Separator
ValueCountFrequency (%)
313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1271
60.6%
Common 827
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 86
 
6.8%
로 86
 
6.8%
길 60
 
4.7%
창 57
 
4.5%
원 53
 
4.2%
산 51
 
4.0%
동 45
 
3.5%
군 39
 
3.1%
구 35
 
2.8%
면 35
 
2.8%
Other values (132) 724
57.0%
Common
ValueCountFrequency (%)
313
37.8%
1 114
 
13.8%
2 57
 
6.9%
3 48
 
5.8%
4 39
 
4.7%
5 37
 
4.5%
6 36
 
4.4%
- 35
 
4.2%
9 27
 
3.3%
8 27
 
3.3%
Other values (4) 94
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1271
60.6%
ASCII 827
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
313
37.8%
1 114
 
13.8%
2 57
 
6.9%
3 48
 
5.8%
4 39
 
4.7%
5 37
 
4.5%
6 36
 
4.4%
- 35
 
4.2%
9 27
 
3.3%
8 27
 
3.3%
Other values (4) 94
 
11.4%
Hangul
ValueCountFrequency (%)
시 86
 
6.8%
로 86
 
6.8%
길 60
 
4.7%
창 57
 
4.5%
원 53
 
4.2%
산 51
 
4.0%
동 45
 
3.5%
군 39
 
3.1%
구 35
 
2.8%
면 35
 
2.8%
Other values (132) 724
57.0%

전화번호
Text

Distinct119
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:38:50.708470image/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%
055-973-2531 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%
2023-12-11T07:38:51.037303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 326
22.4%
- 242
16.6%
0 206
14.2%
3 125
 
8.6%
2 116
 
8.0%
6 84
 
5.8%
1 83
 
5.7%
7 81
 
5.6%
8 73
 
5.0%
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 (%)
5 326
26.9%
0 206
17.0%
3 125
 
10.3%
2 116
 
9.6%
6 84
 
6.9%
1 83
 
6.8%
7 81
 
6.7%
8 73
 
6.0%
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 (%)
5 326
22.4%
- 242
16.6%
0 206
14.2%
3 125
 
8.6%
2 116
 
8.0%
6 84
 
5.8%
1 83
 
5.7%
7 81
 
5.6%
8 73
 
5.0%
4 72
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 326
22.4%
- 242
16.6%
0 206
14.2%
3 125
 
8.6%
2 116
 
8.0%
6 84
 
5.8%
1 83
 
5.7%
7 81
 
5.6%
8 73
 
5.0%
4 72
 
5.0%

Interactions

2023-12-11T07:38:47.870344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T07:38:47.974992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:38:48.064169image/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(주)창원택시서준수69창원시 성산구 정동로162번길 36055-282-3532
1(유)신일교통박구영60창원시 의창구 차상로185055-298-0754
2(주)금호운수김기동40창원시 성산구 정동로162번길 18055-262-0764
3(주)광덕운수조기춘56창원시 성산구 정동로162번길 20055-281-2111
4(주)동성택시허종길51창원시 의창구 사화로302055-296-0646
5(유)동호택시정호식64창원시 의창구 북면 천주로929055-298-0500
6(유)일광택시변홍섭40창원시 의창구 북면 신촌본포로 170055-251-0005
7(유)경남교통류재원52창원시 마산회원구 회성북1길 80055-231-7766
8(유)광동택시김현동73창원시 마산회원구 봉양로187055-242-9103
9(주)남성택시이준호50창원시 마산회원구 내서읍 호계본동1길 115055-232-3222
업 체 명대표자면허대수주 소전화번호
111(자)세일택시임봉택13함양군 함양읍 용평3길 9055-963-4000
112(합자)지리산콜택시박충성12함양군 함양읍 함양로 1243-1055-963-3456
113(합)신택시이재청16거창군 가조면 지산로 1496번지055-942-1231
114(합)신창택시남기현17거창군 거창읍 거열로 133번지055-943-9992
115(합)거창택시정옥식12거창군 거창읍 강남로 52-1번지055-944-7077
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