Overview

Dataset statistics

Number of variables3
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory26.1 B

Variable types

Categorical1
Text2

Dataset

Description대구광역시 군위군에서 보유하고 있는 전국 자동차검사소 현황에 대한 데이터로 지역명, 검사소명, 전화번호의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15089039/fileData.do

Reproduction

Analysis started2023-12-12 14:45:05.773060
Analysis finished2023-12-12 14:45:06.203840
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역명
Categorical

Distinct17
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
경기도
13 
서울특별시
7 
경상북도
6 
전라북도
5 
강원도
5 
Other values (12)
27 

Length

Max length7
Median length5
Mean length4.1269841
Min length3

Unique

Unique3 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 13
20.6%
서울특별시 7
11.1%
경상북도 6
9.5%
전라북도 5
 
7.9%
강원도 5
 
7.9%
경상남도 5
 
7.9%
대구광역시 3
 
4.8%
부산광역시 3
 
4.8%
전라남도 3
 
4.8%
충청북도 2
 
3.2%
Other values (7) 11
17.5%

Length

2023-12-12T23:45:06.292572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 13
20.6%
서울특별시 7
11.1%
경상북도 6
9.5%
전라북도 5
 
7.9%
강원도 5
 
7.9%
경상남도 5
 
7.9%
부산광역시 3
 
4.8%
전라남도 3
 
4.8%
대구광역시 3
 
4.8%
충청북도 2
 
3.2%
Other values (7) 11
17.5%

검사소명
Text

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T23:45:06.568768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.1111111
Min length5

Characters and Unicode

Total characters322
Distinct characters66
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

Unique55 ?
Unique (%)87.3%

Sample

1st row강남검사소
2nd row구로검사소
3rd row노원검사소
4th row상암검사소
5th row성동검사소
ValueCountFrequency (%)
용인검사소 2
 
3.2%
안산검사소 2
 
3.2%
김해검사소 2
 
3.2%
성동검사소 2
 
3.2%
포항검사소 1
 
1.6%
거창검사소 1
 
1.6%
해운대검사소 1
 
1.6%
울산검사소 1
 
1.6%
달성검사소 1
 
1.6%
수성검사소 1
 
1.6%
Other values (49) 49
77.8%
2023-12-12T23:45:07.013074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 64
19.9%
검 63
19.6%
소 63
19.6%
주 12
 
3.7%
성 7
 
2.2%
천 6
 
1.9%
산 6
 
1.9%
원 6
 
1.9%
동 5
 
1.6%
안 5
 
1.6%
Other values (56) 85
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 64
19.9%
검 63
19.6%
소 63
19.6%
주 12
 
3.7%
성 7
 
2.2%
천 6
 
1.9%
산 6
 
1.9%
원 6
 
1.9%
동 5
 
1.6%
안 5
 
1.6%
Other values (56) 85
26.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 64
19.9%
검 63
19.6%
소 63
19.6%
주 12
 
3.7%
성 7
 
2.2%
천 6
 
1.9%
산 6
 
1.9%
원 6
 
1.9%
동 5
 
1.6%
안 5
 
1.6%
Other values (56) 85
26.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 64
19.9%
검 63
19.6%
소 63
19.6%
주 12
 
3.7%
성 7
 
2.2%
천 6
 
1.9%
산 6
 
1.9%
원 6
 
1.9%
동 5
 
1.6%
안 5
 
1.6%
Other values (56) 85
26.4%

전화번호
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T23:45:07.271271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.936508
Min length11

Characters and Unicode

Total characters752
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

Unique61 ?
Unique (%)96.8%

Sample

1st row02-459-2844
2nd row02-2037-6000
3rd row02-972-4121
4th row02-309-7033
5th row02-2244-2556
ValueCountFrequency (%)
054-552-2820 2
 
3.2%
054-285-2134 1
 
1.6%
063-535-6009 1
 
1.6%
055-945-1444 1
 
1.6%
044-868-0515 1
 
1.6%
051-204-9536 1
 
1.6%
051-324-1431 1
 
1.6%
051-781-7570 1
 
1.6%
052-269-8598 1
 
1.6%
053-587-8181 1
 
1.6%
Other values (52) 52
82.5%
2023-12-12T23:45:07.643420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 126
16.8%
0 121
16.1%
5 86
11.4%
3 83
11.0%
2 69
9.2%
1 61
8.1%
4 54
7.2%
6 43
 
5.7%
7 42
 
5.6%
9 34
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 626
83.2%
Dash Punctuation 126
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 121
19.3%
5 86
13.7%
3 83
13.3%
2 69
11.0%
1 61
9.7%
4 54
8.6%
6 43
 
6.9%
7 42
 
6.7%
9 34
 
5.4%
8 33
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 126
16.8%
0 121
16.1%
5 86
11.4%
3 83
11.0%
2 69
9.2%
1 61
8.1%
4 54
7.2%
6 43
 
5.7%
7 42
 
5.6%
9 34
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 126
16.8%
0 121
16.1%
5 86
11.4%
3 83
11.0%
2 69
9.2%
1 61
8.1%
4 54
7.2%
6 43
 
5.7%
7 42
 
5.6%
9 34
 
4.5%

Correlations

2023-12-12T23:45:07.747505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명검사소명전화번호
지역명1.0001.0001.000
검사소명1.0001.0000.992
전화번호1.0000.9921.000

Missing values

2023-12-12T23:45:06.075767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:45:06.164156image/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

지역명검사소명전화번호
0서울특별시강남검사소02-459-2844
1서울특별시구로검사소02-2037-6000
2서울특별시노원검사소02-972-4121
3서울특별시상암검사소02-309-7033
4서울특별시성동검사소02-2244-2556
5서울특별시성동검사소02-2244-2557
6서울특별시성산검사소02-306-5986
7경기도고양검사소031-977-3939
8경기도남양주검사소031-575-1472
9경기도동탄검사소031-378-8731
지역명검사소명전화번호
53전라남도순천검사소061-741-5532
54전라남도여수검사소061-653-9893
55광주광역시광주검사소062-606-7650
56광주광역시북광주검사소062-962-0990
57전라북도군산검사소063-467-3508
58전라북도남원검사소063-625-2803
59전라북도익산검사소063-832-0404
60전라북도전주검사소063-211-9936
61전라북도정읍검사소063-535-6009
62제주특별자치도제주검사소064-723-3114