Overview

Dataset statistics

Number of variables7
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory61.3 B

Variable types

Categorical3
Text4

Dataset

Description경기도 양주시 자동차해체재활용업(폐차장) 현황으로 시도명, 시군구명, 업체명, 대표자, 도로명주소, 연락처 등으로 구성되어 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/15107605/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:02:42.649735
Analysis finished2023-12-12 19:02:43.056153
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
경기도
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 25
100.0%

Length

2023-12-13T04:02:43.105665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:43.173367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 25
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
양주시
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양주시 25
100.0%

Length

2023-12-13T04:02:43.246583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:43.314760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 25
100.0%

업체명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:02:43.447763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.36
Min length3

Characters and Unicode

Total characters159
Distinct characters67
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row중앙RDC
2nd row삼일모터스
3rd row경인폐차산업
4th row한양모터스
5th row양주폐차산업
ValueCountFrequency (%)
선진폐차산업 2
 
7.4%
중앙rdc 1
 
3.7%
신천폐차산업 1
 
3.7%
㈜카패밀리 1
 
3.7%
태림폐차산업 1
 
3.7%
에코모터폐차장 1
 
3.7%
인호폐차산업 1
 
3.7%
서연종합모터스리사이클 1
 
3.7%
동아에이알시 1
 
3.7%
폐차콜산업 1
 
3.7%
Other values (16) 16
59.3%
2023-12-13T04:02:43.741286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 15
 
9.4%
폐 14
 
8.8%
업 13
 
8.2%
산 12
 
7.5%
5
 
3.1%
모 5
 
3.1%
터 5
 
3.1%
스 5
 
3.1%
카 4
 
2.5%
양 3
 
1.9%
Other values (57) 78
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
94.3%
Space Separator 5
 
3.1%
Uppercase Letter 3
 
1.9%
Other Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 15
 
10.0%
폐 14
 
9.3%
업 13
 
8.7%
산 12
 
8.0%
모 5
 
3.3%
터 5
 
3.3%
스 5
 
3.3%
카 4
 
2.7%
양 3
 
2.0%
이 3
 
2.0%
Other values (52) 71
47.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
D 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151
95.0%
Common 5
 
3.1%
Latin 3
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 15
 
9.9%
폐 14
 
9.3%
업 13
 
8.6%
산 12
 
7.9%
모 5
 
3.3%
터 5
 
3.3%
스 5
 
3.3%
카 4
 
2.6%
양 3
 
2.0%
이 3
 
2.0%
Other values (53) 72
47.7%
Latin
ValueCountFrequency (%)
R 1
33.3%
D 1
33.3%
C 1
33.3%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
94.3%
ASCII 8
 
5.0%
None 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 15
 
10.0%
폐 14
 
9.3%
업 13
 
8.7%
산 12
 
8.0%
모 5
 
3.3%
터 5
 
3.3%
스 5
 
3.3%
카 4
 
2.7%
양 3
 
2.0%
이 3
 
2.0%
Other values (52) 71
47.3%
ASCII
ValueCountFrequency (%)
5
62.5%
R 1
 
12.5%
D 1
 
12.5%
C 1
 
12.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:02:43.963431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.16
Min length2

Characters and Unicode

Total characters79
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row강창환
2nd row윤길용
3rd row유영선
4th row홍현덕, 홍기철
5th row양승욱
ValueCountFrequency (%)
황선진 2
 
7.7%
조규철 1
 
3.8%
박찬우 1
 
3.8%
전채성 1
 
3.8%
한휘진 1
 
3.8%
전태인 1
 
3.8%
남승권 1
 
3.8%
조운 1
 
3.8%
김도균 1
 
3.8%
김종원 1
 
3.8%
Other values (15) 15
57.7%
2023-12-13T04:02:44.294607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 4
 
5.1%
철 3
 
3.8%
진 3
 
3.8%
선 3
 
3.8%
남 3
 
3.8%
홍 3
 
3.8%
전 3
 
3.8%
황 2
 
2.5%
성 2
 
2.5%
찬 2
 
2.5%
Other values (45) 51
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
97.5%
Other Punctuation 1
 
1.3%
Space Separator 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 4
 
5.2%
철 3
 
3.9%
진 3
 
3.9%
선 3
 
3.9%
남 3
 
3.9%
홍 3
 
3.9%
전 3
 
3.9%
황 2
 
2.6%
성 2
 
2.6%
찬 2
 
2.6%
Other values (43) 49
63.6%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
97.5%
Common 2
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 4
 
5.2%
철 3
 
3.9%
진 3
 
3.9%
선 3
 
3.9%
남 3
 
3.9%
홍 3
 
3.9%
전 3
 
3.9%
황 2
 
2.6%
성 2
 
2.6%
찬 2
 
2.6%
Other values (43) 49
63.6%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
97.5%
ASCII 2
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 4
 
5.2%
철 3
 
3.9%
진 3
 
3.9%
선 3
 
3.9%
남 3
 
3.9%
홍 3
 
3.9%
전 3
 
3.9%
황 2
 
2.6%
성 2
 
2.6%
찬 2
 
2.6%
Other values (43) 49
63.6%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:02:44.517863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length22.8
Min length17

Characters and Unicode

Total characters570
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도 양주시 은현면 화합로 1013
2nd row경기도 양주시 은현면 운암리 507-1, 508-1, 506
3rd row경기도 양주시 남면 화합로 317-29
4th row경기도 양주시 은현면 그루고개로 625
5th row경기도 양주시 광적면 화합로74번길 18
ValueCountFrequency (%)
경기도 25
19.5%
양주시 25
19.5%
은현면 10
 
7.8%
남면 8
 
6.2%
광적면 4
 
3.1%
화합로 3
 
2.3%
화합로691번길 2
 
1.6%
삼일로 2
 
1.6%
운하로99번길 2
 
1.6%
506 1
 
0.8%
Other values (46) 46
35.9%
2023-12-13T04:02:45.090459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
19.1%
경 25
 
4.4%
도 25
 
4.4%
양 25
 
4.4%
주 25
 
4.4%
시 25
 
4.4%
기 25
 
4.4%
면 22
 
3.9%
1 22
 
3.9%
로 20
 
3.5%
Other values (54) 247
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
56.3%
Decimal Number 122
 
21.4%
Space Separator 109
 
19.1%
Dash Punctuation 14
 
2.5%
Other Punctuation 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 25
 
7.8%
도 25
 
7.8%
양 25
 
7.8%
주 25
 
7.8%
시 25
 
7.8%
기 25
 
7.8%
면 22
 
6.9%
로 20
 
6.2%
번 12
 
3.7%
은 11
 
3.4%
Other values (39) 106
33.0%
Decimal Number
ValueCountFrequency (%)
1 22
18.0%
3 18
14.8%
9 17
13.9%
5 11
9.0%
6 11
9.0%
4 9
7.4%
7 9
7.4%
8 9
7.4%
0 9
7.4%
2 7
 
5.7%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
56.3%
Common 249
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 25
 
7.8%
도 25
 
7.8%
양 25
 
7.8%
주 25
 
7.8%
시 25
 
7.8%
기 25
 
7.8%
면 22
 
6.9%
로 20
 
6.2%
번 12
 
3.7%
은 11
 
3.4%
Other values (39) 106
33.0%
Common
ValueCountFrequency (%)
109
43.8%
1 22
 
8.8%
3 18
 
7.2%
9 17
 
6.8%
- 14
 
5.6%
5 11
 
4.4%
6 11
 
4.4%
4 9
 
3.6%
7 9
 
3.6%
8 9
 
3.6%
Other values (5) 20
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
56.3%
ASCII 249
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
43.8%
1 22
 
8.8%
3 18
 
7.2%
9 17
 
6.8%
- 14
 
5.6%
5 11
 
4.4%
6 11
 
4.4%
4 9
 
3.6%
7 9
 
3.6%
8 9
 
3.6%
Other values (5) 20
 
8.0%
Hangul
ValueCountFrequency (%)
경 25
 
7.8%
도 25
 
7.8%
양 25
 
7.8%
주 25
 
7.8%
시 25
 
7.8%
기 25
 
7.8%
면 22
 
6.9%
로 20
 
6.2%
번 12
 
3.7%
은 11
 
3.4%
Other values (39) 106
33.0%

연락처
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:02:45.438136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique23 ?
Unique (%)92.0%

Sample

1st row031-863-7474
2nd row031-863-7748
3rd row031-864-0400
4th row031-858-5671
5th row031-876-5858
ValueCountFrequency (%)
031-868-8700 2
 
8.0%
031-863-7474 1
 
4.0%
031-855-9123 1
 
4.0%
031-864-4590 1
 
4.0%
031-866-1242 1
 
4.0%
031-859-2881 1
 
4.0%
031-857-1482 1
 
4.0%
031-836-8808 1
 
4.0%
031-861-6500 1
 
4.0%
031-866-7360 1
 
4.0%
Other values (14) 14
56.0%
2023-12-13T04:02:45.805032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
17.0%
- 50
16.7%
8 44
14.7%
3 37
12.3%
1 35
11.7%
6 25
8.3%
7 18
 
6.0%
5 14
 
4.7%
4 13
 
4.3%
2 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
20.4%
8 44
17.6%
3 37
14.8%
1 35
14.0%
6 25
10.0%
7 18
 
7.2%
5 14
 
5.6%
4 13
 
5.2%
2 9
 
3.6%
9 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
17.0%
- 50
16.7%
8 44
14.7%
3 37
12.3%
1 35
11.7%
6 25
8.3%
7 18
 
6.0%
5 14
 
4.7%
4 13
 
4.3%
2 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
17.0%
- 50
16.7%
8 44
14.7%
3 37
12.3%
1 35
11.7%
6 25
8.3%
7 18
 
6.0%
5 14
 
4.7%
4 13
 
4.3%
2 9
 
3.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-10-21
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-21
2nd row2023-10-21
3rd row2023-10-21
4th row2023-10-21
5th row2023-10-21

Common Values

ValueCountFrequency (%)
2023-10-21 25
100.0%

Length

2023-12-13T04:02:45.952852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:46.073119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-21 25
100.0%

Correlations

2023-12-13T04:02:46.158946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명대표자도로명주소연락처
업체명1.0001.0001.0001.000
대표자1.0001.0001.0000.987
도로명주소1.0001.0001.0001.000
연락처1.0000.9871.0001.000

Missing values

2023-12-13T04:02:42.917416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:02:43.020345image/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

시도명시군구명업체명대표자도로명주소연락처데이터기준일자
0경기도양주시중앙RDC강창환경기도 양주시 은현면 화합로 1013031-863-74742023-10-21
1경기도양주시삼일모터스윤길용경기도 양주시 은현면 운암리 507-1, 508-1, 506031-863-77482023-10-21
2경기도양주시경인폐차산업유영선경기도 양주시 남면 화합로 317-29031-864-04002023-10-21
3경기도양주시한양모터스홍현덕, 홍기철경기도 양주시 은현면 그루고개로 625031-858-56712023-10-21
4경기도양주시양주폐차산업양승욱경기도 양주시 광적면 화합로74번길 18031-876-58582023-10-21
5경기도양주시대영폐차장현석철경기도 양주시 남면 한산리 418-3031-866-50002023-10-21
6경기도양주시대성폐차산업박천홍경기도 양주시 남면 삼일로 839-11031-868-87002023-10-21
7경기도양주시우리자동차선암지점우형근경기도 양주시 은현면 화합로969번길 87-83031-861-00002023-10-21
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시도명시군구명업체명대표자도로명주소연락처데이터기준일자
15경기도양주시장원폐차산업김성찬경기도 양주시 남면 상수리 556-3031-868-87002023-10-21
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24경기도양주시㈜카패밀리 양주영업소전상언경기도 양주시 방성리 304-1031-841-94342023-10-21