Overview

Dataset statistics

Number of variables4
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.3 B

Variable types

Numeric1
Text3

Dataset

Description자동차 종합검사 지정업체 현황(업체명,전화번호,소재지 등) 제공전북특별자치도 자동차 종합검사 지정업체명, 전북특별자치도 자동차 종합검사 지정업체 전화번호 등
Author전북특별자치도
URLhttps://www.data.go.kr/data/15045420/fileData.do

Alerts

번호 has unique valuesUnique
업체명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:15:55.275169
Analysis finished2024-03-15 01:15:56.261937
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size623.0 B
2024-03-15T10:15:56.491866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2024-03-15T10:15:56.891195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

업체명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size568.0 B
2024-03-15T10:15:57.644763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.109091
Min length5

Characters and Unicode

Total characters556
Distinct characters100
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

Unique55 ?
Unique (%)100.0%

Sample

1st row전주자동차공업사(휴업)
2nd row국제자동차공업사
3rd row천일그랜드모터스
4th row(유)제일정비 (대형)
5th row동전주현대정비검사소
ValueCountFrequency (%)
대형 4
 
6.6%
전주자동차공업사(휴업 1
 
1.6%
하나로공업사 1
 
1.6%
㈜화평자동차공업사 1
 
1.6%
유)세명자동차공업사 1
 
1.6%
서울모터스 1
 
1.6%
이한자동차공업사 1
 
1.6%
유)유신공업사 1
 
1.6%
유)소륭중기자동차(대형 1
 
1.6%
유)오케이모터스 1
 
1.6%
Other values (48) 48
78.7%
2024-03-15T10:15:58.829944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 42
 
7.6%
업 40
 
7.2%
사 39
 
7.0%
공 38
 
6.8%
자 37
 
6.7%
차 37
 
6.7%
( 34
 
6.1%
) 34
 
6.1%
유 27
 
4.9%
스 13
 
2.3%
Other values (90) 215
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 469
84.4%
Open Punctuation 34
 
6.1%
Close Punctuation 34
 
6.1%
Space Separator 6
 
1.1%
Uppercase Letter 6
 
1.1%
Decimal Number 5
 
0.9%
Other Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
 
9.0%
업 40
 
8.5%
사 39
 
8.3%
공 38
 
8.1%
자 37
 
7.9%
차 37
 
7.9%
유 27
 
5.8%
스 13
 
2.8%
비 11
 
2.3%
서 10
 
2.1%
Other values (79) 175
37.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
16.7%
D 1
16.7%
C 1
16.7%
S 1
16.7%
K 1
16.7%
B 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
84.7%
Common 79
 
14.2%
Latin 6
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
 
8.9%
업 40
 
8.5%
사 39
 
8.3%
공 38
 
8.1%
자 37
 
7.9%
차 37
 
7.9%
유 27
 
5.7%
스 13
 
2.8%
비 11
 
2.3%
서 10
 
2.1%
Other values (80) 177
37.6%
Latin
ValueCountFrequency (%)
H 1
16.7%
D 1
16.7%
C 1
16.7%
S 1
16.7%
K 1
16.7%
B 1
16.7%
Common
ValueCountFrequency (%)
( 34
43.0%
) 34
43.0%
6
 
7.6%
1 5
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 469
84.4%
ASCII 85
 
15.3%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 42
 
9.0%
업 40
 
8.5%
사 39
 
8.3%
공 38
 
8.1%
자 37
 
7.9%
차 37
 
7.9%
유 27
 
5.8%
스 13
 
2.8%
비 11
 
2.3%
서 10
 
2.1%
Other values (79) 175
37.3%
ASCII
ValueCountFrequency (%)
( 34
40.0%
) 34
40.0%
6
 
7.1%
1 5
 
5.9%
H 1
 
1.2%
D 1
 
1.2%
C 1
 
1.2%
S 1
 
1.2%
K 1
 
1.2%
B 1
 
1.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

전화번호
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size568.0 B
2024-03-15T10:16:00.324873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters660
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

Unique53 ?
Unique (%)96.4%

Sample

1st row063-213-2135
2nd row063-855-0776
3rd row063-213-1001
4th row063-211-8991
5th row063-262-3602
ValueCountFrequency (%)
063-262-3602 2
 
3.6%
063-538-1200 1
 
1.8%
063-842-3355 1
 
1.8%
063-853-1600 1
 
1.8%
063-212-8082 1
 
1.8%
063-467-0303 1
 
1.8%
063-214-6002 1
 
1.8%
063-854-0790 1
 
1.8%
063-855-0327 1
 
1.8%
063-465-5510 1
 
1.8%
Other values (44) 44
80.0%
2024-03-15T10:16:02.810080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 110
16.7%
0 107
16.2%
3 89
13.5%
6 85
12.9%
1 66
10.0%
2 60
9.1%
4 47
7.1%
8 41
 
6.2%
5 26
 
3.9%
9 16
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 550
83.3%
Dash Punctuation 110
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
19.5%
3 89
16.2%
6 85
15.5%
1 66
12.0%
2 60
10.9%
4 47
8.5%
8 41
 
7.5%
5 26
 
4.7%
9 16
 
2.9%
7 13
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 110
16.7%
0 107
16.2%
3 89
13.5%
6 85
12.9%
1 66
10.0%
2 60
9.1%
4 47
7.1%
8 41
 
6.2%
5 26
 
3.9%
9 16
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 110
16.7%
0 107
16.2%
3 89
13.5%
6 85
12.9%
1 66
10.0%
2 60
9.1%
4 47
7.1%
8 41
 
6.2%
5 26
 
3.9%
9 16
 
2.4%

소재지
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size568.0 B
2024-03-15T10:16:04.159940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length14.036364
Min length10

Characters and Unicode

Total characters772
Distinct characters97
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

Unique55 ?
Unique (%)100.0%

Sample

1st row전주시 덕진구 야전1길 15
2nd row익산시 서동로 205
3rd row전주시 덕진구 반룡로 3
4th row전주시 덕진구 신행로 73
5th row완주군 용진면 초포다리로 247
ValueCountFrequency (%)
전주시 25
 
12.4%
덕진구 25
 
12.4%
익산시 15
 
7.4%
군산시 8
 
4.0%
완주군 5
 
2.5%
신복로 3
 
1.5%
풍전4길 3
 
1.5%
3 2
 
1.0%
해망로 2
 
1.0%
봉동읍 2
 
1.0%
Other values (100) 112
55.4%
2024-03-15T10:16:06.273750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
19.0%
시 50
 
6.5%
로 43
 
5.6%
1 35
 
4.5%
주 31
 
4.0%
전 29
 
3.8%
구 29
 
3.8%
진 27
 
3.5%
산 26
 
3.4%
덕 26
 
3.4%
Other values (87) 329
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
59.5%
Decimal Number 155
 
20.1%
Space Separator 147
 
19.0%
Dash Punctuation 9
 
1.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 50
 
10.9%
로 43
 
9.4%
주 31
 
6.8%
전 29
 
6.3%
구 29
 
6.3%
진 27
 
5.9%
산 26
 
5.7%
덕 26
 
5.7%
익 17
 
3.7%
군 14
 
3.1%
Other values (73) 167
36.4%
Decimal Number
ValueCountFrequency (%)
1 35
22.6%
2 20
12.9%
4 19
12.3%
3 17
11.0%
6 14
 
9.0%
5 13
 
8.4%
7 13
 
8.4%
8 11
 
7.1%
9 8
 
5.2%
0 5
 
3.2%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
59.5%
Common 313
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 50
 
10.9%
로 43
 
9.4%
주 31
 
6.8%
전 29
 
6.3%
구 29
 
6.3%
진 27
 
5.9%
산 26
 
5.7%
덕 26
 
5.7%
익 17
 
3.7%
군 14
 
3.1%
Other values (73) 167
36.4%
Common
ValueCountFrequency (%)
147
47.0%
1 35
 
11.2%
2 20
 
6.4%
4 19
 
6.1%
3 17
 
5.4%
6 14
 
4.5%
5 13
 
4.2%
7 13
 
4.2%
8 11
 
3.5%
- 9
 
2.9%
Other values (4) 15
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
59.5%
ASCII 313
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
47.0%
1 35
 
11.2%
2 20
 
6.4%
4 19
 
6.1%
3 17
 
5.4%
6 14
 
4.5%
5 13
 
4.2%
7 13
 
4.2%
8 11
 
3.5%
- 9
 
2.9%
Other values (4) 15
 
4.8%
Hangul
ValueCountFrequency (%)
시 50
 
10.9%
로 43
 
9.4%
주 31
 
6.8%
전 29
 
6.3%
구 29
 
6.3%
진 27
 
5.9%
산 26
 
5.7%
덕 26
 
5.7%
익 17
 
3.7%
군 14
 
3.1%
Other values (73) 167
36.4%

Interactions

2024-03-15T10:15:55.675133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:16:06.564852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명전화번호소재지
번호1.0001.0000.9331.000
업체명1.0001.0001.0001.000
전화번호0.9331.0001.0001.000
소재지1.0001.0001.0001.000

Missing values

2024-03-15T10:15:55.877091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:15:56.156532image/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

번호업체명전화번호소재지
01전주자동차공업사(휴업)063-213-2135전주시 덕진구 야전1길 15
12국제자동차공업사063-855-0776익산시 서동로 205
23천일그랜드모터스063-213-1001전주시 덕진구 반룡로 3
34(유)제일정비 (대형)063-211-8991전주시 덕진구 신행로 73
45동전주현대정비검사소063-262-3602완주군 용진면 초포다리로 247
56(유)전주월드컵자동차공업사063-211-6644전주시 덕진구 장동유통로 29
67(유)현대자동차HD써비스063-212-4040전주시 덕진구 추천로 91-5
78안전자동차공업사063-211-4400전주시 덕진구 신행로 57
89(유)CS자동차공업사063-211-6669전주시 덕진구 신복천변로 12
910(유)전일모터스063-211-0048전주시 덕진구 신복천변3길 14
번호업체명전화번호소재지
4546(유)제일자동차공업사063-852-5119익산시 군익로 446-1
4647(유)동서공업사063-446-2198군산시 번영로 110
4748새한자동차공업사063-852-1234익산시 목천로 51
4849(유)남성자동차공업사063-842-9435익산시 동서로 341
4950백제자동차공업사063-832-3900익산시 마한로 161
50511급 신하림자동차공업사063-862-2678익산시 함열읍 익산대로 1676-22
5152(유)서해자동차공업사063-462-1115군산시 해망로 603(소룡동)
52531급서일특장자동차공업사063-861-0334익산시 함열읍 함열10길 25
5354익산진우자동차공업사063-842-3355익산시 약촌로 63
5455(유)영광자동차공업사063-453-9090군산시 개정면 모갱이1길 74