Overview

Dataset statistics

Number of variables3
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory27.1 B

Variable types

Text3

Dataset

Description대전광역시 자동차 검사소 및 종합(정기)검사 지정 정비업체 현황 입니다
Author대전광역시
URLhttps://www.data.go.kr/data/15062790/fileData.do

Alerts

검사소(업체)명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:30:58.010404
Analysis finished2023-12-12 00:30:58.306948
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

검사소(업체)명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:30:58.469933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.0238095
Min length5

Characters and Unicode

Total characters379
Distinct characters83
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row대전자동차검사소
2nd row신탄진검사소
3rd row유성검사소
4th row대전검사정비사업조합
5th row(주)태광모터스
ValueCountFrequency (%)
대전자동차검사소 1
 
2.3%
주)동부자동차검사정비센타 1
 
2.3%
동아자동차(주 1
 
2.3%
세종현대남부서비스(주 1
 
2.3%
유화자동차공업사 1
 
2.3%
관저자동차공업사 1
 
2.3%
서대전공업사 1
 
2.3%
아크로모터스(주 1
 
2.3%
안전자동차정비공업사 1
 
2.3%
삼우자동차정비(합 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T09:30:58.844053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 25
 
6.6%
) 25
 
6.6%
사 24
 
6.3%
주 22
 
5.8%
업 20
 
5.3%
동 19
 
5.0%
공 17
 
4.5%
자 16
 
4.2%
차 16
 
4.2%
대 15
 
4.0%
Other values (73) 180
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
84.7%
Open Punctuation 25
 
6.6%
Close Punctuation 25
 
6.6%
Decimal Number 6
 
1.6%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 24
 
7.5%
주 22
 
6.9%
업 20
 
6.2%
동 19
 
5.9%
공 17
 
5.3%
자 16
 
5.0%
차 16
 
5.0%
대 15
 
4.7%
스 12
 
3.7%
검 10
 
3.1%
Other values (68) 150
46.7%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
2 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
84.7%
Common 58
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 24
 
7.5%
주 22
 
6.9%
업 20
 
6.2%
동 19
 
5.9%
공 17
 
5.3%
자 16
 
5.0%
차 16
 
5.0%
대 15
 
4.7%
스 12
 
3.7%
검 10
 
3.1%
Other values (68) 150
46.7%
Common
ValueCountFrequency (%)
( 25
43.1%
) 25
43.1%
1 4
 
6.9%
2
 
3.4%
2 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
84.7%
ASCII 58
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 25
43.1%
) 25
43.1%
1 4
 
6.9%
2
 
3.4%
2 2
 
3.4%
Hangul
ValueCountFrequency (%)
사 24
 
7.5%
주 22
 
6.9%
업 20
 
6.2%
동 19
 
5.9%
공 17
 
5.3%
자 16
 
5.0%
차 16
 
5.0%
대 15
 
4.7%
스 12
 
3.7%
검 10
 
3.1%
Other values (68) 150
46.7%

소재지
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:30:59.077878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length24.071429
Min length19

Characters and Unicode

Total characters1011
Distinct characters89
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

Unique42 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 변동로 44(변동)
2nd row대전광역시 대덕구 대덕대로 1417번길 31(문평동)
3rd row대전광역시 서구 계룡로 232번길 123(월평동)
4th row대전광역시 중구 동서대로1327번길 24(용두동)
5th row대전광역시 동구 산내로 1412-4(대성동)
ValueCountFrequency (%)
대전광역시 42
23.0%
대덕구 15
 
8.2%
서구 11
 
6.0%
동구 7
 
3.8%
유성구 5
 
2.7%
중구 4
 
2.2%
대화로 4
 
2.2%
484번길 3
 
1.6%
월드컵대로 3
 
1.6%
계백로 3
 
1.6%
Other values (76) 86
47.0%
2023-12-12T09:30:59.397862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
13.9%
대 83
 
8.2%
동 55
 
5.4%
전 44
 
4.4%
구 44
 
4.4%
시 43
 
4.3%
광 42
 
4.2%
역 42
 
4.2%
) 42
 
4.2%
로 41
 
4.1%
Other values (79) 434
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 627
62.0%
Decimal Number 154
 
15.2%
Space Separator 141
 
13.9%
Close Punctuation 42
 
4.2%
Open Punctuation 41
 
4.1%
Dash Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 83
13.2%
동 55
 
8.8%
전 44
 
7.0%
구 44
 
7.0%
시 43
 
6.9%
광 42
 
6.7%
역 42
 
6.7%
로 41
 
6.5%
덕 17
 
2.7%
길 17
 
2.7%
Other values (65) 199
31.7%
Decimal Number
ValueCountFrequency (%)
1 29
18.8%
2 20
13.0%
3 20
13.0%
4 17
11.0%
7 13
8.4%
6 13
8.4%
5 12
7.8%
8 11
 
7.1%
9 11
 
7.1%
0 8
 
5.2%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 627
62.0%
Common 384
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 83
13.2%
동 55
 
8.8%
전 44
 
7.0%
구 44
 
7.0%
시 43
 
6.9%
광 42
 
6.7%
역 42
 
6.7%
로 41
 
6.5%
덕 17
 
2.7%
길 17
 
2.7%
Other values (65) 199
31.7%
Common
ValueCountFrequency (%)
141
36.7%
) 42
 
10.9%
( 41
 
10.7%
1 29
 
7.6%
2 20
 
5.2%
3 20
 
5.2%
4 17
 
4.4%
7 13
 
3.4%
6 13
 
3.4%
5 12
 
3.1%
Other values (4) 36
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 627
62.0%
ASCII 384
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
36.7%
) 42
 
10.9%
( 41
 
10.7%
1 29
 
7.6%
2 20
 
5.2%
3 20
 
5.2%
4 17
 
4.4%
7 13
 
3.4%
6 13
 
3.4%
5 12
 
3.1%
Other values (4) 36
 
9.4%
Hangul
ValueCountFrequency (%)
대 83
13.2%
동 55
 
8.8%
전 44
 
7.0%
구 44
 
7.0%
시 43
 
6.9%
광 42
 
6.7%
역 42
 
6.7%
로 41
 
6.5%
덕 17
 
2.7%
길 17
 
2.7%
Other values (65) 199
31.7%

전화번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:30:59.581208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
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

Unique42 ?
Unique (%)100.0%

Sample

1st row042-523-5095
2nd row042-931-8106
3rd row042-535-7147
4th row042-254-1180
5th row042-286-8770
ValueCountFrequency (%)
042-523-5095 1
 
2.4%
042-624-7771 1
 
2.4%
042-626-1800 1
 
2.4%
042-476-2002 1
 
2.4%
042-545-2245 1
 
2.4%
042-544-2222 1
 
2.4%
042-545-7183 1
 
2.4%
042-719-1233 1
 
2.4%
042-636-3530 1
 
2.4%
042-627-5600 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T09:30:59.852230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 86
17.1%
- 84
16.7%
0 77
15.3%
4 62
12.3%
3 40
7.9%
5 37
7.3%
7 35
6.9%
1 27
 
5.4%
6 22
 
4.4%
9 17
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 86
20.5%
0 77
18.3%
4 62
14.8%
3 40
9.5%
5 37
8.8%
7 35
8.3%
1 27
 
6.4%
6 22
 
5.2%
9 17
 
4.0%
8 17
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 86
17.1%
- 84
16.7%
0 77
15.3%
4 62
12.3%
3 40
7.9%
5 37
7.3%
7 35
6.9%
1 27
 
5.4%
6 22
 
4.4%
9 17
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 86
17.1%
- 84
16.7%
0 77
15.3%
4 62
12.3%
3 40
7.9%
5 37
7.3%
7 35
6.9%
1 27
 
5.4%
6 22
 
4.4%
9 17
 
3.4%

Correlations

2023-12-12T09:30:59.927563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사소(업체)명소재지전화번호
검사소(업체)명1.0001.0001.000
소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T09:30:58.203864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:30:58.274227image/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

검사소(업체)명소재지전화번호
0대전자동차검사소대전광역시 서구 변동로 44(변동)042-523-5095
1신탄진검사소대전광역시 대덕구 대덕대로 1417번길 31(문평동)042-931-8106
2유성검사소대전광역시 서구 계룡로 232번길 123(월평동)042-535-7147
3대전검사정비사업조합대전광역시 중구 동서대로1327번길 24(용두동)042-254-1180
4(주)태광모터스대전광역시 동구 산내로 1412-4(대성동)042-286-8770
5(주)대전광역시 동구자동차공업사검사소대전광역시 동구 충무로 209번길 81(원동)042-283-3636
6남부자동차공업(주)대전광역시 동구 옥천로 273(삼정동)042-285-5200
7(주)고속모터스대전광역시 동구 합내로 73(가양동)042-627-4972
8으뜸자동차공업사대전광역시 동구 대전로 261(대성동)042-282-1500
9(주)동부자동차검사정비센타대전광역시 동구 대종로 15(대성동)042-272-1500
검사소(업체)명소재지전화번호
32신대덕자동차공업사대전광역시 대덕구 한남로 138번길 12(오정동)042-623-7700
33씨제이대한통운(주) 대전지사대전광역시 대덕구 신탄진로 1(읍내동)042-717-1346
34새한자동차공업(주)대전광역시 대덕구 대전로 1324(읍내동)042-634-1122
35신탄1급정비검사장대전광역시 대덕구 신탄진로 756번안길 68-1신탄진동)042-932-7005
36삼성자동차공업(주)대전광역시 대덕구 신일동로 33번길 85(신일동)042-936-7777
37카신모터스대전광역시 대덕구 아리랑로 55번길 7(읍내동)042-633-4004
38(주)서울모터스대전광역시 대덕구 갑천도시고속도로 1079(신대동)042-639-4646
39(주)대진자동차공업사대전광역시 대덕구 신탄진로 756번안길 79(신탄진동)042-933-1282
40동아자동차(주)대전광역시 대덕구 대화로 50번길 96(대화동)042-626-1800
41대전공단기아오토큐(주)대전광역시 대덕구 신일동로 7(신일동)042-935-0981