Overview

Dataset statistics

Number of variables6
Number of observations104
Missing cells30
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description부산광역시 연제구 관내에 소재하고 있는 중고차 매매사업체 현황 정보(사업장 상호, 전화번호, 주소)를 제공합니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15025098/fileData.do

Alerts

상태정보 has constant value ""Constant
관리사업유형 has constant value ""Constant
순번 is highly overall correlated with 사업장주소High correlation
사업장주소 is highly overall correlated with 순번High correlation
전화번호 has 30 (28.8%) missing valuesMissing
순번 has unique valuesUnique
사업자 상호(명칭) has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:27:42.290819
Analysis finished2024-03-15 01:27:43.445582
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.5
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-15T10:27:43.681981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.15
Q126.75
median52.5
Q378.25
95-th percentile98.85
Maximum104
Range103
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation30.166206
Coefficient of variation (CV)0.5745944
Kurtosis-1.2
Mean52.5
Median Absolute Deviation (MAD)26
Skewness0
Sum5460
Variance910
MonotonicityStrictly increasing
2024-03-15T10:27:44.087904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
54 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%

상태정보
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
영업
104 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 104
100.0%

Length

2024-03-15T10:27:44.509115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:27:44.824841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 104
100.0%

관리사업유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
자동차매매업
104 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차매매업 104
100.0%

Length

2024-03-15T10:27:45.123837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:27:45.434832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차매매업 104
100.0%

전화번호
Text

MISSING 

Distinct69
Distinct (%)93.2%
Missing30
Missing (%)28.8%
Memory size960.0 B
2024-03-15T10:27:46.376205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.959459
Min length9

Characters and Unicode

Total characters885
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

Unique65 ?
Unique (%)87.8%

Sample

1st row051-863-0880
2nd row051-523-7333
3rd row051-862-2828
4th row051-315-3000
5th row051-864-9615
ValueCountFrequency (%)
051-862-8949 3
 
4.1%
051-710-1770 2
 
2.7%
051-715-7151 2
 
2.7%
051-714-0824 2
 
2.7%
051-711-1220 1
 
1.4%
051-867-9011 1
 
1.4%
051-864-6600 1
 
1.4%
051-863-2288 1
 
1.4%
1588-7305 1
 
1.4%
051-803-1318 1
 
1.4%
Other values (59) 59
79.7%
2024-03-15T10:27:47.762455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 147
16.6%
1 143
16.2%
5 134
15.1%
0 131
14.8%
8 83
9.4%
7 52
 
5.9%
6 47
 
5.3%
3 44
 
5.0%
4 37
 
4.2%
2 34
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 738
83.4%
Dash Punctuation 147
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 143
19.4%
5 134
18.2%
0 131
17.8%
8 83
11.2%
7 52
 
7.0%
6 47
 
6.4%
3 44
 
6.0%
4 37
 
5.0%
2 34
 
4.6%
9 33
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 885
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 147
16.6%
1 143
16.2%
5 134
15.1%
0 131
14.8%
8 83
9.4%
7 52
 
5.9%
6 47
 
5.3%
3 44
 
5.0%
4 37
 
4.2%
2 34
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 147
16.6%
1 143
16.2%
5 134
15.1%
0 131
14.8%
8 83
9.4%
7 52
 
5.9%
6 47
 
5.3%
3 44
 
5.0%
4 37
 
4.2%
2 34
 
3.8%
Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-15T10:27:48.613600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.5192308
Min length2

Characters and Unicode

Total characters678
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st row진성모터스
2nd rowSH모터스
3rd row(주)월드모터
4th row유승모터스
5th row대진모터스
ValueCountFrequency (%)
주식회사 4
 
3.5%
더마니카 2
 
1.8%
모터스 2
 
1.8%
한성종합상사 1
 
0.9%
주)에이비씨모터스 1
 
0.9%
주)카엔카 1
 
0.9%
주)카톡모터스 1
 
0.9%
주)더굿카모터스 1
 
0.9%
㈜인트로 1
 
0.9%
주)아이언모터스 1
 
0.9%
Other values (98) 98
86.7%
2024-03-15T10:27:49.819128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
9.4%
56
 
8.3%
55
 
8.1%
45
 
6.6%
( 41
 
6.0%
) 41
 
6.0%
23
 
3.4%
17
 
2.5%
15
 
2.2%
13
 
1.9%
Other values (127) 308
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
80.8%
Open Punctuation 41
 
6.0%
Close Punctuation 41
 
6.0%
Uppercase Letter 17
 
2.5%
Other Symbol 13
 
1.9%
Space Separator 10
 
1.5%
Decimal Number 6
 
0.9%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
11.7%
56
 
10.2%
55
 
10.0%
45
 
8.2%
23
 
4.2%
17
 
3.1%
15
 
2.7%
13
 
2.4%
11
 
2.0%
8
 
1.5%
Other values (107) 241
44.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
23.5%
B 3
17.6%
S 2
11.8%
J 1
 
5.9%
G 1
 
5.9%
Y 1
 
5.9%
H 1
 
5.9%
P 1
 
5.9%
W 1
 
5.9%
M 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
9 1
 
16.7%
1 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
k 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Other Symbol
ValueCountFrequency (%)
13
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 561
82.7%
Common 98
 
14.5%
Latin 19
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
11.4%
56
 
10.0%
55
 
9.8%
45
 
8.0%
23
 
4.1%
17
 
3.0%
15
 
2.7%
13
 
2.3%
13
 
2.3%
11
 
2.0%
Other values (108) 249
44.4%
Latin
ValueCountFrequency (%)
K 4
21.1%
B 3
15.8%
S 2
10.5%
b 1
 
5.3%
J 1
 
5.3%
G 1
 
5.3%
Y 1
 
5.3%
H 1
 
5.3%
k 1
 
5.3%
P 1
 
5.3%
Other values (3) 3
15.8%
Common
ValueCountFrequency (%)
( 41
41.8%
) 41
41.8%
10
 
10.2%
2 4
 
4.1%
9 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 548
80.8%
ASCII 117
 
17.3%
None 13
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
64
 
11.7%
56
 
10.2%
55
 
10.0%
45
 
8.2%
23
 
4.2%
17
 
3.1%
15
 
2.7%
13
 
2.4%
11
 
2.0%
8
 
1.5%
Other values (107) 241
44.0%
ASCII
ValueCountFrequency (%)
( 41
35.0%
) 41
35.0%
10
 
8.5%
K 4
 
3.4%
2 4
 
3.4%
B 3
 
2.6%
S 2
 
1.7%
9 1
 
0.9%
1 1
 
0.9%
b 1
 
0.9%
Other values (9) 9
 
7.7%
None
ValueCountFrequency (%)
13
100.0%

사업장주소
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size960.0 B
부산광역시 연제구 경기장로 15(거제동)
32 
부산광역시 연제구 경기장로 21(거제동)
31 
부산광역시 연제구 거제천로 174(연산동)
28 
부산광역시 연제구 중앙대로 1154(연산동)
13 

Length

Max length24
Median length22
Mean length22.519231
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 연제구 중앙대로 1154(연산동)
2nd row부산광역시 연제구 중앙대로 1154(연산동)
3rd row부산광역시 연제구 중앙대로 1154(연산동)
4th row부산광역시 연제구 중앙대로 1154(연산동)
5th row부산광역시 연제구 중앙대로 1154(연산동)

Common Values

ValueCountFrequency (%)
부산광역시 연제구 경기장로 15(거제동) 32
30.8%
부산광역시 연제구 경기장로 21(거제동) 31
29.8%
부산광역시 연제구 거제천로 174(연산동) 28
26.9%
부산광역시 연제구 중앙대로 1154(연산동) 13
12.5%

Length

2024-03-15T10:27:50.338278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:27:50.729803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 104
25.0%
연제구 104
25.0%
경기장로 63
15.1%
15(거제동 32
 
7.7%
21(거제동 31
 
7.5%
거제천로 28
 
6.7%
174(연산동 28
 
6.7%
중앙대로 13
 
3.1%
1154(연산동 13
 
3.1%

Interactions

2024-03-15T10:27:42.616413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:27:50.978287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번전화번호사업장주소
순번1.0000.6230.992
전화번호0.6231.0001.000
사업장주소0.9921.0001.000
2024-03-15T10:27:51.239396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업장주소
순번1.0000.926
사업장주소0.9261.000

Missing values

2024-03-15T10:27:42.962784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:27:43.323466image/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

순번상태정보관리사업유형전화번호사업자 상호(명칭)사업장주소
01영업자동차매매업051-863-0880진성모터스부산광역시 연제구 중앙대로 1154(연산동)
12영업자동차매매업051-523-7333SH모터스부산광역시 연제구 중앙대로 1154(연산동)
23영업자동차매매업051-862-2828(주)월드모터부산광역시 연제구 중앙대로 1154(연산동)
34영업자동차매매업051-315-3000유승모터스부산광역시 연제구 중앙대로 1154(연산동)
45영업자동차매매업051-864-9615대진모터스부산광역시 연제구 중앙대로 1154(연산동)
56영업자동차매매업051-866-0080우리자동차부산광역시 연제구 중앙대로 1154(연산동)
67영업자동차매매업051-863-5577스타모터스부산광역시 연제구 중앙대로 1154(연산동)
78영업자동차매매업051-864-9009진모터스부산광역시 연제구 중앙대로 1154(연산동)
89영업자동차매매업051-862-5533YG모터스부산광역시 연제구 중앙대로 1154(연산동)
910영업자동차매매업051-866-0555JK모터스부산광역시 연제구 중앙대로 1154(연산동)
순번상태정보관리사업유형전화번호사업자 상호(명칭)사업장주소
9495영업자동차매매업<NA>㈜라임모터스2부산광역시 연제구 경기장로 21(거제동)
9596영업자동차매매업<NA>부경모터스부산광역시 연제구 경기장로 21(거제동)
9697영업자동차매매업<NA>신박한모터스부산광역시 연제구 경기장로 21(거제동)
9798영업자동차매매업<NA>(주)에이스타모터스부산광역시 연제구 경기장로 21(거제동)
9899영업자동차매매업051-709-6312스타자동차(주)부산광역시 연제구 경기장로 21(거제동)
99100영업자동차매매업<NA>㈜카카오모터스부산광역시 연제구 경기장로 21(거제동)
100101영업자동차매매업051-714-1300카 빌리지부산광역시 연제구 경기장로 21(거제동)
101102영업자동차매매업051-714-3673에이스타모터스부산광역시 연제구 경기장로 21(거제동)
102103영업자동차매매업051-915-7070순수자동차부산광역시 연제구 경기장로 21(거제동)
103104영업자동차매매업051-638-0521주식회사 더굿카부산광역시 연제구 경기장로 21(거제동)