Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory37.7 B

Variable types

Numeric1
Text3

Dataset

Description자동차종합검사지정업체현황
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202105

Alerts

NO has unique valuesUnique
업체명 has unique valuesUnique
전화번호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:22:00.243070
Analysis finished2024-03-14 00:22:00.546476
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-14T09:22:00.593437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-03-14T09:22:00.723830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

업체명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-03-14T09:22:00.901515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13.5
Mean length9.5357143
Min length5

Characters and Unicode

Total characters267
Distinct characters62
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row신전주공업사
2nd row국제자동차공업사
3rd row천일그랜드모터스
4th row(유)제일정비
5th row(유)전주월드컵자동차공업사
ValueCountFrequency (%)
신전주공업사 1
 
3.6%
국제자동차공업사 1
 
3.6%
유)코리아모터스 1
 
3.6%
동전주현대정비검사소 1
 
3.6%
금구자동차공업사 1
 
3.6%
엠케이자동차공업사 1
 
3.6%
유)신한1급자동차정비공업사 1
 
3.6%
드림모터스 1
 
3.6%
주)케이에스자동차공업사 1
 
3.6%
삼화정비공업사 1
 
3.6%
Other values (18) 18
64.3%
2024-03-14T09:22:01.165618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 22
 
8.2%
사 21
 
7.9%
공 20
 
7.5%
업 20
 
7.5%
자 19
 
7.1%
차 19
 
7.1%
) 13
 
4.9%
( 13
 
4.9%
유 12
 
4.5%
전 8
 
3.0%
Other values (52) 100
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
88.4%
Close Punctuation 13
 
4.9%
Open Punctuation 13
 
4.9%
Uppercase Letter 4
 
1.5%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
9.3%
사 21
 
8.9%
공 20
 
8.5%
업 20
 
8.5%
자 19
 
8.1%
차 19
 
8.1%
유 12
 
5.1%
전 8
 
3.4%
주 7
 
3.0%
스 7
 
3.0%
Other values (45) 81
34.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
D 1
25.0%
C 1
25.0%
S 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
88.4%
Common 27
 
10.1%
Latin 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
9.3%
사 21
 
8.9%
공 20
 
8.5%
업 20
 
8.5%
자 19
 
8.1%
차 19
 
8.1%
유 12
 
5.1%
전 8
 
3.4%
주 7
 
3.0%
스 7
 
3.0%
Other values (45) 81
34.3%
Latin
ValueCountFrequency (%)
H 1
25.0%
D 1
25.0%
C 1
25.0%
S 1
25.0%
Common
ValueCountFrequency (%)
) 13
48.1%
( 13
48.1%
1 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
88.4%
ASCII 31
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 22
 
9.3%
사 21
 
8.9%
공 20
 
8.5%
업 20
 
8.5%
자 19
 
8.1%
차 19
 
8.1%
유 12
 
5.1%
전 8
 
3.4%
주 7
 
3.0%
스 7
 
3.0%
Other values (45) 81
34.3%
ASCII
ValueCountFrequency (%)
) 13
41.9%
( 13
41.9%
1 1
 
3.2%
H 1
 
3.2%
D 1
 
3.2%
C 1
 
3.2%
S 1
 
3.2%

전화번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-03-14T09:22:01.333682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters224
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

Unique28 ?
Unique (%)100.0%

Sample

1st row213-2135
2nd row855-0776
3rd row213-1001
4th row211-8991
5th row211-6644
ValueCountFrequency (%)
213-2135 1
 
3.6%
855-0776 1
 
3.6%
212-2211 1
 
3.6%
244-4971 1
 
3.6%
544-3061 1
 
3.6%
211-4100 1
 
3.6%
211-7077 1
 
3.6%
212-0012 1
 
3.6%
213-0001 1
 
3.6%
211-5411 1
 
3.6%
Other values (18) 18
64.3%
2024-03-14T09:22:01.597753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 50
22.3%
2 39
17.4%
- 28
12.5%
0 27
12.1%
4 25
11.2%
6 14
 
6.2%
3 9
 
4.0%
7 9
 
4.0%
5 8
 
3.6%
8 8
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 196
87.5%
Dash Punctuation 28
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 50
25.5%
2 39
19.9%
0 27
13.8%
4 25
12.8%
6 14
 
7.1%
3 9
 
4.6%
7 9
 
4.6%
5 8
 
4.1%
8 8
 
4.1%
9 7
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 50
22.3%
2 39
17.4%
- 28
12.5%
0 27
12.1%
4 25
11.2%
6 14
 
6.2%
3 9
 
4.0%
7 9
 
4.0%
5 8
 
3.6%
8 8
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 50
22.3%
2 39
17.4%
- 28
12.5%
0 27
12.1%
4 25
11.2%
6 14
 
6.2%
3 9
 
4.0%
7 9
 
4.0%
5 8
 
3.6%
8 8
 
3.6%

소재지
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-03-14T09:22:01.800833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18.5
Mean length17.642857
Min length14

Characters and Unicode

Total characters494
Distinct characters64
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row전북 전주시 덕진야전1길 15
2nd row전북 익산시 서동로 205
3rd row전북 전주시 덕진구 반룡로 3
4th row전북 전주시 덕진구 신행로 73
5th row전북 전주시 덕진구 장동유통로 29
ValueCountFrequency (%)
전북 28
20.7%
전주시 22
16.3%
덕진구 18
 
13.3%
완주군 4
 
3.0%
반룡로 2
 
1.5%
봉동읍 2
 
1.5%
용진면 2
 
1.5%
신행로 2
 
1.5%
3 2
 
1.5%
신복로 2
 
1.5%
Other values (51) 51
37.8%
2024-03-14T09:22:02.073792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
22.1%
전 51
 
10.3%
북 28
 
5.7%
주 27
 
5.5%
시 24
 
4.9%
진 23
 
4.7%
구 23
 
4.7%
덕 22
 
4.5%
로 21
 
4.3%
1 17
 
3.4%
Other values (54) 149
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
64.0%
Space Separator 109
 
22.1%
Decimal Number 66
 
13.4%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 51
16.1%
북 28
 
8.9%
주 27
 
8.5%
시 24
 
7.6%
진 23
 
7.3%
구 23
 
7.3%
덕 22
 
7.0%
로 21
 
6.6%
신 8
 
2.5%
복 7
 
2.2%
Other values (42) 82
25.9%
Decimal Number
ValueCountFrequency (%)
1 17
25.8%
2 9
13.6%
4 8
12.1%
3 8
12.1%
7 7
10.6%
5 6
 
9.1%
9 5
 
7.6%
6 3
 
4.5%
8 2
 
3.0%
0 1
 
1.5%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
64.0%
Common 178
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 51
16.1%
북 28
 
8.9%
주 27
 
8.5%
시 24
 
7.6%
진 23
 
7.3%
구 23
 
7.3%
덕 22
 
7.0%
로 21
 
6.6%
신 8
 
2.5%
복 7
 
2.2%
Other values (42) 82
25.9%
Common
ValueCountFrequency (%)
109
61.2%
1 17
 
9.6%
2 9
 
5.1%
4 8
 
4.5%
3 8
 
4.5%
7 7
 
3.9%
5 6
 
3.4%
9 5
 
2.8%
6 3
 
1.7%
- 3
 
1.7%
Other values (2) 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
64.0%
ASCII 178
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
61.2%
1 17
 
9.6%
2 9
 
5.1%
4 8
 
4.5%
3 8
 
4.5%
7 7
 
3.9%
5 6
 
3.4%
9 5
 
2.8%
6 3
 
1.7%
- 3
 
1.7%
Other values (2) 3
 
1.7%
Hangul
ValueCountFrequency (%)
전 51
16.1%
북 28
 
8.9%
주 27
 
8.5%
시 24
 
7.6%
진 23
 
7.3%
구 23
 
7.3%
덕 22
 
7.0%
로 21
 
6.6%
신 8
 
2.5%
복 7
 
2.2%
Other values (42) 82
25.9%

Interactions

2024-03-14T09:22:00.373815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:22:02.166460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO업체명전화번호소재지
NO1.0001.0001.0001.000
업체명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
소재지1.0001.0001.0001.000

Missing values

2024-03-14T09:22:00.458566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:22:00.521660image/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

NO업체명전화번호소재지
01신전주공업사213-2135전북 전주시 덕진야전1길 15
12국제자동차공업사855-0776전북 익산시 서동로 205
23천일그랜드모터스213-1001전북 전주시 덕진구 반룡로 3
34(유)제일정비211-8991전북 전주시 덕진구 신행로 73
45(유)전주월드컵자동차공업사211-6644전북 전주시 덕진구 장동유통로 29
56(유)현대자동차HD써비스212-4040전북 전주시 덕진구 추천로 91-5
67안전자동차공업사211-4400전북 전주시 덕진구 신행로 57
78(유)CS자동차공업사211-6669전북 전주시 덕진구 신복천변로 12
89(유)전일모터스211-0048전북 전주시 덕진구 신복천변3길 14
910(유)혁성자동차공업사211-8566전북 전주시 덕진구 유상로 76
NO업체명전화번호소재지
1819(유)봉동현대자동차공업사262-3602전북 완주군 봉동읍 봉동로 461
1920삼화정비공업사211-5411전북 전주시 덕진구서귀로 17
2021(주)케이에스자동차공업사213-0001전북 전주시 덕진구 상리로 3
2122드림모터스212-0012전북 전주시 신복로 34-16
2223(유)신한1급자동차정비공업사211-7077전북 전주시 덕진구 신복로 148
2324엠케이자동차공업사211-4100전북 전주시 덕진구 비석날로 131
2425금구자동차공업사544-3061전북 김제시 금산면 구성길 295
2526동전주현대정비검사소244-4971전북 완주군 용진면 초포다리로 247
2627(유)코리아모터스212-2211전북 전주시 덕진구 팔복로 115
2728전주탄소자동차공업사212-4940전북 전주시 덕진구 반룡로 49