Overview

Dataset statistics

Number of variables5
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory44.8 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description인천광역시 남동구 중고자동차매매업 등록현황에 대한 데이터로 업체상호명, 소재지, 전화번호, 데이터기준일 등을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067151&srcSe=7661IVAWM27C61E190

Alerts

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

Reproduction

Analysis started2024-01-28 05:37:59.804610
Analysis finished2024-01-28 05:38:00.188709
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-01-28T14:38:00.242646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2024-01-28T14:38:00.356662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

상호명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-28T14:38:00.542888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.2571429
Min length3

Characters and Unicode

Total characters254
Distinct characters65
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

Unique35 ?
Unique (%)100.0%

Sample

1st row세원자동차매매상사
2nd row㈜동운상사
3rd row진성오토모티브
4th row창영자동차 매매상사
5th row㈜이삭모터스
ValueCountFrequency (%)
카맨모터스 3
 
7.5%
2호점 2
 
5.0%
세원자동차매매상사 1
 
2.5%
유민모터스 1
 
2.5%
나이스모터스자동차매매상사 1
 
2.5%
카써클 1
 
2.5%
자동차메카 1
 
2.5%
1
 
2.5%
모터스 1
 
2.5%
재경자동차매매상사 1
 
2.5%
Other values (27) 27
67.5%
2024-01-28T14:38:00.854352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
11.0%
20
 
7.9%
17
 
6.7%
17
 
6.7%
17
 
6.7%
17
 
6.7%
15
 
5.9%
14
 
5.5%
13
 
5.1%
8
 
3.1%
Other values (55) 88
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
93.7%
Space Separator 5
 
2.0%
Decimal Number 3
 
1.2%
Other Symbol 2
 
0.8%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
11.8%
20
 
8.4%
17
 
7.1%
17
 
7.1%
17
 
7.1%
17
 
7.1%
15
 
6.3%
14
 
5.9%
13
 
5.5%
8
 
3.4%
Other values (47) 72
30.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
94.5%
Common 12
 
4.7%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
11.7%
20
 
8.3%
17
 
7.1%
17
 
7.1%
17
 
7.1%
17
 
7.1%
15
 
6.2%
14
 
5.8%
13
 
5.4%
8
 
3.3%
Other values (48) 74
30.8%
Common
ValueCountFrequency (%)
5
41.7%
2 2
 
16.7%
( 2
 
16.7%
) 2
 
16.7%
1 1
 
8.3%
Latin
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
93.7%
ASCII 14
 
5.5%
None 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
 
11.8%
20
 
8.4%
17
 
7.1%
17
 
7.1%
17
 
7.1%
17
 
7.1%
15
 
6.3%
14
 
5.9%
13
 
5.5%
8
 
3.4%
Other values (47) 72
30.3%
ASCII
ValueCountFrequency (%)
5
35.7%
2 2
 
14.3%
( 2
 
14.3%
) 2
 
14.3%
1 1
 
7.1%
O 1
 
7.1%
K 1
 
7.1%
None
ValueCountFrequency (%)
2
100.0%

소재지
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-28T14:38:01.047373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters980
Distinct characters28
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

Unique35 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 방축로 414, 222호(간석동)
2nd row인천광역시 남동구 방축로 414, 236호(간석동)
3rd row인천광역시 남동구 방축로 414, 201호(간석동)
4th row인천광역시 남동구 방축로 414, 241호(간석동)
5th row인천광역시 남동구 방축로 414, 213호(간석동)
ValueCountFrequency (%)
인천광역시 35
20.0%
방축로 35
20.0%
414 35
20.0%
남동구 35
20.0%
210호(간석동 1
 
0.6%
219호(간석동 1
 
0.6%
232호(간석동 1
 
0.6%
226호(간석동 1
 
0.6%
223호(간석동 1
 
0.6%
204호(간석동 1
 
0.6%
Other values (29) 29
16.6%
2024-01-28T14:38:01.423401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
14.3%
4 76
 
7.8%
70
 
7.1%
2 47
 
4.8%
1 47
 
4.8%
35
 
3.6%
) 35
 
3.6%
35
 
3.6%
35
 
3.6%
( 35
 
3.6%
Other values (18) 425
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
53.6%
Decimal Number 210
 
21.4%
Space Separator 140
 
14.3%
Close Punctuation 35
 
3.6%
Open Punctuation 35
 
3.6%
Other Punctuation 35
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70
13.3%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
Other values (4) 140
26.7%
Decimal Number
ValueCountFrequency (%)
4 76
36.2%
2 47
22.4%
1 47
22.4%
0 12
 
5.7%
3 11
 
5.2%
5 4
 
1.9%
6 4
 
1.9%
9 3
 
1.4%
7 3
 
1.4%
8 3
 
1.4%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
53.6%
Common 455
46.4%

Most frequent character per script

Common
ValueCountFrequency (%)
140
30.8%
4 76
16.7%
2 47
 
10.3%
1 47
 
10.3%
) 35
 
7.7%
( 35
 
7.7%
, 35
 
7.7%
0 12
 
2.6%
3 11
 
2.4%
5 4
 
0.9%
Other values (4) 13
 
2.9%
Hangul
ValueCountFrequency (%)
70
13.3%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
Other values (4) 140
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
53.6%
ASCII 455
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
30.8%
4 76
16.7%
2 47
 
10.3%
1 47
 
10.3%
) 35
 
7.7%
( 35
 
7.7%
, 35
 
7.7%
0 12
 
2.6%
3 11
 
2.4%
5 4
 
0.9%
Other values (4) 13
 
2.9%
Hangul
ValueCountFrequency (%)
70
13.3%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
Other values (4) 140
26.7%
Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-28T14:38:01.672883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
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

Unique33 ?
Unique (%)94.3%

Sample

1st row032-868-2002
2nd row032-875-9955
3rd row032-876-6655
4th row032-872-7272
5th row032-874-6969
ValueCountFrequency (%)
032-831-1234 2
 
5.7%
032-873-2020 1
 
2.9%
032-874-6161 1
 
2.9%
032-874-4567 1
 
2.9%
032-872-8282 1
 
2.9%
032-875-0027 1
 
2.9%
032-875-5111 1
 
2.9%
032-865-4585 1
 
2.9%
032-874-5555 1
 
2.9%
032-876-9911 1
 
2.9%
Other values (24) 24
68.6%
2024-01-28T14:38:01.973922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
16.7%
3 58
13.8%
2 56
13.3%
0 51
12.1%
8 42
10.0%
7 40
9.5%
6 27
 
6.4%
5 25
 
6.0%
4 21
 
5.0%
1 15
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 58
16.6%
2 56
16.0%
0 51
14.6%
8 42
12.0%
7 40
11.4%
6 27
7.7%
5 25
7.1%
4 21
 
6.0%
1 15
 
4.3%
9 15
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 70
16.7%
3 58
13.8%
2 56
13.3%
0 51
12.1%
8 42
10.0%
7 40
9.5%
6 27
 
6.4%
5 25
 
6.0%
4 21
 
5.0%
1 15
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
16.7%
3 58
13.8%
2 56
13.3%
0 51
12.1%
8 42
10.0%
7 40
9.5%
6 27
 
6.4%
5 25
 
6.0%
4 21
 
5.0%
1 15
 
3.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-06-12 00:00:00
Maximum2023-06-12 00:00:00
2024-01-28T14:38:02.068410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:38:02.142200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T14:37:59.952977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:38:02.217392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명소재지전화번호
연번1.0001.0001.0000.898
상호명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
전화번호0.8981.0001.0001.000

Missing values

2024-01-28T14:38:00.070587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:38:00.156754image/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
01세원자동차매매상사인천광역시 남동구 방축로 414, 222호(간석동)032-868-20022023-06-12
12㈜동운상사인천광역시 남동구 방축로 414, 236호(간석동)032-875-99552023-06-12
23진성오토모티브인천광역시 남동구 방축로 414, 201호(간석동)032-876-66552023-06-12
34창영자동차 매매상사인천광역시 남동구 방축로 414, 241호(간석동)032-872-72722023-06-12
45㈜이삭모터스인천광역시 남동구 방축로 414, 213호(간석동)032-874-69692023-06-12
56동산자동차매매상사인천광역시 남동구 방축로 414, 233호(간석동)032-872-63332023-06-12
67전진자동차매매상사인천광역시 남동구 방축로 414, 209호(간석동)032-874-43212023-06-12
78OK자동차매매상사인천광역시 남동구 방축로 414, 229호(간석동)032-872-09992023-06-12
89대하자동차매매상사인천광역시 남동구 방축로 414, 234호(간석동)032-872-45672023-06-12
910남동자동차매매상사인천광역시 남동구 방축로 414, 225호(간석동)032-876-99112023-06-12
연번상호명소재지전화번호데이터기준일
2526유민모터스인천광역시 남동구 방축로 414, 210호(간석동)032-875-33362023-06-12
2627대건자동차매매상사인천광역시 남동구 방축로 414, 237호(간석동)032-866-77552023-06-12
2728(주)이삭모터스 2호점인천광역시 남동구 방축로 414, 219호(간석동)032-874-55552023-06-12
2829(주)바른자동차인천광역시 남동구 방축로 414, 206호(간석동)032-865-45852023-06-12
2930나경상사인천광역시 남동구 방축로 414, 221호(간석동)032-875-51112023-06-12
3031인천마이카자동차매매상사인천광역시 남동구 방축로 414, 212호(간석동)032-875-00272023-06-12
3132경기상사인천광역시 남동구 방축로 414, 216호(간석동)032-872-82822023-06-12
3233카맨모터스 1호점인천광역시 남동구 방축로 414, 240호(간석동)032-874-45672023-06-12
3334대진자동차인천광역시 남동구 방축로 414, 235호(간석동)032-874-61612023-06-12
3435나라모터스인천광역시 남동구 방축로 414, 228호(간석동)032-864-23452023-06-12