Overview

Dataset statistics

Number of variables5
Number of observations164
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory40.8 B

Variable types

Text3
Categorical2

Dataset

Description한국도로공사 고속도로 무인수납 영업소 현황에 대한 데이터 입니다. 본부, 노선명, 영업소명, 주소 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15043758/fileData.do

Alerts

영업소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:39:20.710790
Analysis finished2023-12-12 23:39:21.182827
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업소
Text

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T08:39:21.482409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.5243902
Min length2

Characters and Unicode

Total characters414
Distinct characters134
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

Unique164 ?
Unique (%)100.0%

Sample

1st row북원주
2nd row횡성
3rd row남여주
4th row서여주
5th row양평
ValueCountFrequency (%)
북원주 1
 
0.6%
장지 1
 
0.6%
남인천 1
 
0.6%
산인 1
 
0.6%
노포 1
 
0.6%
평택 1
 
0.6%
평택고덕 1
 
0.6%
하남 1
 
0.6%
서이천 1
 
0.6%
동서울 1
 
0.6%
Other values (154) 154
93.9%
2023-12-13T08:39:22.055385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 22
 
5.3%
주 18
 
4.3%
천 16
 
3.9%
양 16
 
3.9%
남 14
 
3.4%
산 13
 
3.1%
성 11
 
2.7%
동 11
 
2.7%
대 10
 
2.4%
안 9
 
2.2%
Other values (124) 274
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
5.3%
주 18
 
4.3%
천 16
 
3.9%
양 16
 
3.9%
남 14
 
3.4%
산 13
 
3.1%
성 11
 
2.7%
동 11
 
2.7%
대 10
 
2.4%
안 9
 
2.2%
Other values (124) 274
66.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
5.3%
주 18
 
4.3%
천 16
 
3.9%
양 16
 
3.9%
남 14
 
3.4%
산 13
 
3.1%
성 11
 
2.7%
동 11
 
2.7%
대 10
 
2.4%
안 9
 
2.2%
Other values (124) 274
66.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 22
 
5.3%
주 18
 
4.3%
천 16
 
3.9%
양 16
 
3.9%
남 14
 
3.4%
산 13
 
3.1%
성 11
 
2.7%
동 11
 
2.7%
대 10
 
2.4%
안 9
 
2.2%
Other values (124) 274
66.2%

본부
Categorical

Distinct8
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
수도권
25 
광주전남
24 
대전충남
24 
강원
23 
대구경북
20 
Other values (3)
48 

Length

Max length4
Median length4
Mean length3.1768293
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원
2nd row강원
3rd row강원
4th row강원
5th row강원

Common Values

ValueCountFrequency (%)
수도권 25
15.2%
광주전남 24
14.6%
대전충남 24
14.6%
강원 23
14.0%
대구경북 20
12.2%
충북 18
11.0%
부산경남 16
9.8%
전북 14
8.5%

Length

2023-12-13T08:39:22.587875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:39:22.754338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수도권 25
15.2%
광주전남 24
14.6%
대전충남 24
14.6%
강원 23
14.0%
대구경북 20
12.2%
충북 18
11.0%
부산경남 16
9.8%
전북 14
8.5%

노선명
Categorical

Distinct28
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
당진영덕선
18 
남해선
16 
서해안선
16 
경부선
14 
영동선
14 
Other values (23)
86 

Length

Max length10
Median length8
Mean length4.8109756
Min length3

Unique

Unique9 ?
Unique (%)5.5%

Sample

1st row중앙선
2nd row중앙선
3rd row중부내륙선
4th row중부내륙선
5th row중부내륙선

Common Values

ValueCountFrequency (%)
당진영덕선 18
11.0%
남해선 16
9.8%
서해안선 16
9.8%
경부선 14
 
8.5%
영동선 14
 
8.5%
중부내륙선 12
 
7.3%
무안광주·광주대구선 10
 
6.1%
통영대전·중부선 10
 
6.1%
중앙선 9
 
5.5%
호남선 6
 
3.7%
Other values (18) 39
23.8%

Length

2023-12-13T08:39:22.925223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당진영덕선 18
11.0%
남해선 16
9.8%
서해안선 16
9.8%
경부선 14
 
8.5%
영동선 14
 
8.5%
중부내륙선 12
 
7.3%
무안광주·광주대구선 10
 
6.1%
통영대전·중부선 10
 
6.1%
중앙선 9
 
5.5%
호남선 6
 
3.7%
Other values (18) 39
23.8%

주소
Text

Distinct162
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T08:39:23.383014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length22.390244
Min length14

Characters and Unicode

Total characters3672
Distinct characters223
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

Unique160 ?
Unique (%)97.6%

Sample

1st row강원도 원주시 호저면 평천1길 24-23
2nd row강원도 횡성군 횡성읍 중앙고속도로 51
3rd row경기도 여주시 능서면 중부내륙고속도로 270
4th row경기도 여주시 능서면 중부대로 2531
5th row경기도 양평군 옥천면 경강로 1401
ValueCountFrequency (%)
경기도 29
 
3.7%
충청남도 21
 
2.6%
전라남도 21
 
2.6%
강원도 20
 
2.5%
경상북도 20
 
2.5%
경상남도 16
 
2.0%
충청북도 13
 
1.6%
전라북도 10
 
1.3%
남해고속도로 8
 
1.0%
당진영덕고속도로 8
 
1.0%
Other values (507) 628
79.1%
2023-12-13T08:39:23.983947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
635
 
17.3%
도 221
 
6.0%
로 145
 
3.9%
1 108
 
2.9%
면 105
 
2.9%
시 97
 
2.6%
남 89
 
2.4%
경 81
 
2.2%
2 79
 
2.2%
군 77
 
2.1%
Other values (213) 2035
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2408
65.6%
Space Separator 635
 
17.3%
Decimal Number 554
 
15.1%
Dash Punctuation 46
 
1.3%
Close Punctuation 14
 
0.4%
Open Punctuation 14
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 221
 
9.2%
로 145
 
6.0%
면 105
 
4.4%
시 97
 
4.0%
남 89
 
3.7%
경 81
 
3.4%
군 77
 
3.2%
고 77
 
3.2%
속 69
 
2.9%
북 56
 
2.3%
Other values (198) 1391
57.8%
Decimal Number
ValueCountFrequency (%)
1 108
19.5%
2 79
14.3%
3 69
12.5%
5 54
9.7%
4 51
9.2%
7 44
7.9%
0 41
 
7.4%
6 40
 
7.2%
8 36
 
6.5%
9 32
 
5.8%
Space Separator
ValueCountFrequency (%)
635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2408
65.6%
Common 1264
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 221
 
9.2%
로 145
 
6.0%
면 105
 
4.4%
시 97
 
4.0%
남 89
 
3.7%
경 81
 
3.4%
군 77
 
3.2%
고 77
 
3.2%
속 69
 
2.9%
북 56
 
2.3%
Other values (198) 1391
57.8%
Common
ValueCountFrequency (%)
635
50.2%
1 108
 
8.5%
2 79
 
6.2%
3 69
 
5.5%
5 54
 
4.3%
4 51
 
4.0%
- 46
 
3.6%
7 44
 
3.5%
0 41
 
3.2%
6 40
 
3.2%
Other values (5) 97
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2408
65.6%
ASCII 1264
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
635
50.2%
1 108
 
8.5%
2 79
 
6.2%
3 69
 
5.5%
5 54
 
4.3%
4 51
 
4.0%
- 46
 
3.6%
7 44
 
3.5%
0 41
 
3.2%
6 40
 
3.2%
Other values (5) 97
 
7.7%
Hangul
ValueCountFrequency (%)
도 221
 
9.2%
로 145
 
6.0%
면 105
 
4.4%
시 97
 
4.0%
남 89
 
3.7%
경 81
 
3.4%
군 77
 
3.2%
고 77
 
3.2%
속 69
 
2.9%
북 56
 
2.3%
Other values (198) 1391
57.8%

전화번호
Text

Distinct163
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T08:39:24.290751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1968
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

Unique162 ?
Unique (%)98.8%

Sample

1st row033-812-2209
2nd row033-812-2210
3rd row031-327-2144
4th row031-327-2145
5th row031-327-2147
ValueCountFrequency (%)
061-882-2619 2
 
1.2%
031-327-2114 1
 
0.6%
032-718-2191 1
 
0.6%
055-711-2833 1
 
0.6%
051-793-2883 1
 
0.6%
031-327-2122 1
 
0.6%
031-327-2123 1
 
0.6%
031-327-2131 1
 
0.6%
031-327-2135 1
 
0.6%
031-327-2132 1
 
0.6%
Other values (153) 153
93.3%
2023-12-13T08:39:24.677512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 328
16.7%
2 322
16.4%
1 284
14.4%
0 244
12.4%
3 182
9.2%
4 145
7.4%
7 132
6.7%
6 104
 
5.3%
8 103
 
5.2%
5 95
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1640
83.3%
Dash Punctuation 328
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 322
19.6%
1 284
17.3%
0 244
14.9%
3 182
11.1%
4 145
8.8%
7 132
8.0%
6 104
 
6.3%
8 103
 
6.3%
5 95
 
5.8%
9 29
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 328
16.7%
2 322
16.4%
1 284
14.4%
0 244
12.4%
3 182
9.2%
4 145
7.4%
7 132
6.7%
6 104
 
5.3%
8 103
 
5.2%
5 95
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 328
16.7%
2 322
16.4%
1 284
14.4%
0 244
12.4%
3 182
9.2%
4 145
7.4%
7 132
6.7%
6 104
 
5.3%
8 103
 
5.2%
5 95
 
4.8%

Correlations

2023-12-13T08:39:24.794464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본부노선명
본부1.0000.851
노선명0.8511.000
2023-12-13T08:39:24.871155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선명본부
노선명1.0000.500
본부0.5001.000
2023-12-13T08:39:24.948728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본부노선명
본부1.0000.500
노선명0.5001.000

Missing values

2023-12-13T08:39:21.039908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:39:21.148024image/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

영업소본부노선명주소전화번호
0북원주강원중앙선강원도 원주시 호저면 평천1길 24-23033-812-2209
1횡성강원중앙선강원도 횡성군 횡성읍 중앙고속도로 51033-812-2210
2남여주강원중부내륙선경기도 여주시 능서면 중부내륙고속도로 270031-327-2144
3서여주강원중부내륙선경기도 여주시 능서면 중부대로 2531031-327-2145
4양평강원중부내륙선경기도 양평군 옥천면 경강로 1401031-327-2147
5원주강원영동선강원도 원주시 노하길 26033-812-2201
6속사강원영동선강원도 평창군 용평면 양지길 30-28033-812-2206
7새말강원영동선강원도 횡성군 우천면 영동고속도로 143033-812-2202
8둔내강원영동선강원도 횡성군 둔내면 영동고속도로 161033-812-2203
9대관령강원영동선강원도 평창군 대관령면 오리골길 44033-812-2208
영업소본부노선명주소전화번호
154문경새재충북중부내륙선경상북도 문경시 마성면 중부내륙고속도로 180054-706-2715
155충주충북중부내륙선충청북도 충주시 대소원면 중부내륙고속도로 225043-756-2302
156점촌함창충북중부내륙선경상북도 상주시 함창읍 문경대로 331-83054-706-2720
157북충주충북중부내륙선충청북도 충주시 노은면 중부내륙고속도로 234043-756-2301
158문의충북당진영덕선충청북도 청주시 상당구 문의면 당진영덕고속도로 128043-756-2319
159회인충북당진영덕선충청북도 보은군 회인면 보청대로 3290043-756-2320
160화서충북당진영덕선경상북도 상주시 화서면 영남제일로 4119-26054-706-2721
161보은충북당진영덕선충청북도 보은군 보은읍 남부로 4043043-756-2321
162남상주충북당진영덕선경상북도 상주시 경상대로 2509-51054-706-2716
163속리산충북당진영덕선충청북도 보은군 탄부면 보청대로 985043-756-2322