Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.3 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description전라남도 광양시에 위치한 중고차 매매업 등록 현황 목록입니다. 중고차 매매업에 대한 내용으로 상호명, 소재지, 연락처를 제공합니다.
URLhttps://www.data.go.kr/data/15102713/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:33:29.593383
Analysis finished2023-12-12 00:33:30.319322
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T09:33:30.383260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-12T09:33:30.513020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

상호명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:33:30.739692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.8387097
Min length5

Characters and Unicode

Total characters243
Distinct characters63
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row세풍모터스
2nd row남도자동차매매상사
3rd row한국자동차매매상사
4th row광양자동차매매상사
5th row전국대형자동차매매상사
ValueCountFrequency (%)
세풍모터스 1
 
3.2%
승호모터스 1
 
3.2%
권트럭종합매매 1
 
3.2%
케이엠트럭매매 1
 
3.2%
대성모터스 1
 
3.2%
광양중고차 1
 
3.2%
금성매매상사 1
 
3.2%
서울매매상사 1
 
3.2%
제이씨모터스 1
 
3.2%
유)대형자동차매매상사 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T09:33:31.100928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
매 40
16.5%
상 17
 
7.0%
사 17
 
7.0%
차 14
 
5.8%
자 13
 
5.3%
동 13
 
5.3%
스 10
 
4.1%
모 9
 
3.7%
터 8
 
3.3%
대 8
 
3.3%
Other values (53) 94
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
95.1%
Open Punctuation 5
 
2.1%
Close Punctuation 5
 
2.1%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 40
17.3%
상 17
 
7.4%
사 17
 
7.4%
차 14
 
6.1%
자 13
 
5.6%
동 13
 
5.6%
스 10
 
4.3%
모 9
 
3.9%
터 8
 
3.5%
대 8
 
3.5%
Other values (49) 82
35.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
95.1%
Common 10
 
4.1%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
매 40
17.3%
상 17
 
7.4%
사 17
 
7.4%
차 14
 
6.1%
자 13
 
5.6%
동 13
 
5.6%
스 10
 
4.3%
모 9
 
3.9%
터 8
 
3.5%
대 8
 
3.5%
Other values (49) 82
35.5%
Common
ValueCountFrequency (%)
( 5
50.0%
) 5
50.0%
Latin
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
95.1%
ASCII 12
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
매 40
17.3%
상 17
 
7.4%
사 17
 
7.4%
차 14
 
6.1%
자 13
 
5.6%
동 13
 
5.6%
스 10
 
4.3%
모 9
 
3.9%
터 8
 
3.5%
대 8
 
3.5%
Other values (49) 82
35.5%
ASCII
ValueCountFrequency (%)
( 5
41.7%
) 5
41.7%
D 1
 
8.3%
S 1
 
8.3%

소재지
Text

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:33:31.310042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length22.870968
Min length19

Characters and Unicode

Total characters709
Distinct characters56
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

Unique15 ?
Unique (%)48.4%

Sample

1st row전라남도 광양시 용장길 7(성황동)
2nd row전라남도 광양시 광양읍 인서중앙길 5
3rd row전라남도 광양시 용장길 7(성황동)
4th row전라남도 광양시 불로로 42(성황동)
5th row전라남도 광양시 광양읍 초남2공단2길 85, 105호
ValueCountFrequency (%)
전라남도 31
20.5%
광양시 31
20.5%
광양읍 16
10.6%
초남2공단2길 9
 
6.0%
85 9
 
6.0%
백운로 6
 
4.0%
962(성황동 5
 
3.3%
용장길 3
 
2.0%
7(성황동 3
 
2.0%
제철로 3
 
2.0%
Other values (30) 35
23.2%
2023-12-12T09:33:31.660475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
16.9%
광 47
 
6.6%
양 47
 
6.6%
남 42
 
5.9%
2 33
 
4.7%
도 32
 
4.5%
전 31
 
4.4%
라 31
 
4.4%
시 31
 
4.4%
길 17
 
2.4%
Other values (46) 278
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
62.6%
Space Separator 120
 
16.9%
Decimal Number 113
 
15.9%
Open Punctuation 13
 
1.8%
Close Punctuation 13
 
1.8%
Other Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 47
 
10.6%
양 47
 
10.6%
남 42
 
9.5%
도 32
 
7.2%
전 31
 
7.0%
라 31
 
7.0%
시 31
 
7.0%
길 17
 
3.8%
읍 16
 
3.6%
동 15
 
3.4%
Other values (32) 135
30.4%
Decimal Number
ValueCountFrequency (%)
2 33
29.2%
5 16
14.2%
1 12
 
10.6%
6 12
 
10.6%
8 11
 
9.7%
9 9
 
8.0%
3 6
 
5.3%
0 5
 
4.4%
7 5
 
4.4%
4 4
 
3.5%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
62.6%
Common 265
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 47
 
10.6%
양 47
 
10.6%
남 42
 
9.5%
도 32
 
7.2%
전 31
 
7.0%
라 31
 
7.0%
시 31
 
7.0%
길 17
 
3.8%
읍 16
 
3.6%
동 15
 
3.4%
Other values (32) 135
30.4%
Common
ValueCountFrequency (%)
120
45.3%
2 33
 
12.5%
5 16
 
6.0%
( 13
 
4.9%
) 13
 
4.9%
1 12
 
4.5%
6 12
 
4.5%
8 11
 
4.2%
9 9
 
3.4%
, 6
 
2.3%
Other values (4) 20
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
62.6%
ASCII 265
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
45.3%
2 33
 
12.5%
5 16
 
6.0%
( 13
 
4.9%
) 13
 
4.9%
1 12
 
4.5%
6 12
 
4.5%
8 11
 
4.2%
9 9
 
3.4%
, 6
 
2.3%
Other values (4) 20
 
7.5%
Hangul
ValueCountFrequency (%)
광 47
 
10.6%
양 47
 
10.6%
남 42
 
9.5%
도 32
 
7.2%
전 31
 
7.0%
라 31
 
7.0%
시 31
 
7.0%
길 17
 
3.8%
읍 16
 
3.6%
동 15
 
3.4%
Other values (32) 135
30.4%

전화번호
Text

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T09:33:31.861439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.16129
Min length12

Characters and Unicode

Total characters377
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

Unique25 ?
Unique (%)80.6%

Sample

1st row061-795-6644
2nd row061-762-8945
3rd row061-793-8949
4th row061-791-8949
5th row061-761-1300
ValueCountFrequency (%)
061-761-1300 4
 
12.9%
061-794-4989 2
 
6.5%
061-760-0000 1
 
3.2%
061-795-6644 1
 
3.2%
061-794-4559 1
 
3.2%
061-761-7722 1
 
3.2%
061-794-9929 1
 
3.2%
0507-1495-0228 1
 
3.2%
061-7762-7722 1
 
3.2%
061-772-2558 1
 
3.2%
Other values (17) 17
54.8%
2023-12-12T09:33:32.212658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.4%
0 56
14.9%
1 47
12.5%
6 42
11.1%
7 42
11.1%
9 38
10.1%
4 28
7.4%
8 20
 
5.3%
2 19
 
5.0%
5 12
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 315
83.6%
Dash Punctuation 62
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
17.8%
1 47
14.9%
6 42
13.3%
7 42
13.3%
9 38
12.1%
4 28
8.9%
8 20
 
6.3%
2 19
 
6.0%
5 12
 
3.8%
3 11
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.4%
0 56
14.9%
1 47
12.5%
6 42
11.1%
7 42
11.1%
9 38
10.1%
4 28
7.4%
8 20
 
5.3%
2 19
 
5.0%
5 12
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.4%
0 56
14.9%
1 47
12.5%
6 42
11.1%
7 42
11.1%
9 38
10.1%
4 28
7.4%
8 20
 
5.3%
2 19
 
5.0%
5 12
 
3.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-07-14 00:00:00
Maximum2023-07-14 00:00:00
2023-12-12T09:33:32.331482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:33:32.418716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:33:29.796505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:33:32.490606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명소재지전화번호
연번1.0001.0000.7520.716
상호명1.0001.0001.0001.000
소재지0.7521.0001.0000.095
전화번호0.7161.0000.0951.000

Missing values

2023-12-12T09:33:30.154042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:33:30.272765image/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

연번상호명소재지전화번호데이터기준일
01세풍모터스전라남도 광양시 용장길 7(성황동)061-795-66442023-07-14
12남도자동차매매상사전라남도 광양시 광양읍 인서중앙길 5061-762-89452023-07-14
23한국자동차매매상사전라남도 광양시 용장길 7(성황동)061-793-89492023-07-14
34광양자동차매매상사전라남도 광양시 불로로 42(성황동)061-791-89492023-07-14
45전국대형자동차매매상사전라남도 광양시 광양읍 초남2공단2길 85, 105호061-761-13002023-07-14
56대도자동차매매상사전라남도 광양시 광양읍 용강리 855번지 1호061-761-49892023-07-14
67가야자동차매매상사전라남도 광양시 백운로 962(성황동)061-791-54222023-07-14
78성황자동차매매상사전라남도 광양시 백운로 962(성황동)061-791-80842023-07-14
89동부대형자동차매매상사전라남도 광양시 불로로 42(성황동)061-795-12452023-07-14
910제철자동차매매상사전라남도 광양시 백운로 962(성황동)061-791-89002023-07-14
연번상호명소재지전화번호데이터기준일
2122광양대형차매매상사전라남도 광양시 광양읍 초남2공단2길 85, 203동061-761-13002023-07-14
2223(유)대형자동차매매상사전라남도 광양시 광양읍 초남2공단2길 85, 105호061-761-48882023-07-14
2324제이씨모터스전라남도 광양시 백운로 962(성황동)061-908-89492023-07-14
2425서울매매상사전라남도 광양시 옥곡면 신금리 1583번지 2호061-772-25582023-07-14
2526금성매매상사전라남도 광양시 광양읍 제철로 316061-7762-77222023-07-14
2627광양중고차전라남도 광양시 광양읍 기두2길 110507-1495-02282023-07-14
2728대성모터스전라남도 광양시 제철로 1376(도이동)061-794-99292023-07-14
2829케이엠트럭매매전라남도 광양시 광양읍 초남2공단2길 85, 104호061-761-13002023-07-14
2930권트럭종합매매전라남도 광양시 광양읍 초남2공단2길 85061-761-77222023-07-14
3031(유)광양종합모터스전라남도 광양시 옥곡면 신금산단4길 9061-772-08802023-07-14