Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory390.6 KiB
Average record size in memory40.0 B

Variable types

Text2
DateTime2

Dataset

Description전기전자제품및자동차의재활용시스템내 폐자동차_관리표정보를 제공(관리표번호, 재활용업체, 재활용일자, 제출일자 등)
Author환경부
URLhttps://www.data.go.kr/data/15092230/fileData.do

Alerts

관리표번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 08:58:26.365668
Analysis finished2024-04-21 08:58:27.188250
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리표번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T17:58:27.770904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters140000
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowCMC22204692782
2nd rowCMC32205192285
3rd rowCMC22205081697
4th rowCMC22204967092
5th rowCMC22204653771
ValueCountFrequency (%)
cmc22204692782 1
 
< 0.1%
cmc22204886970 1
 
< 0.1%
cmc22204957381 1
 
< 0.1%
cmc22205199582 1
 
< 0.1%
cmc22205240756 1
 
< 0.1%
cmc22204768851 1
 
< 0.1%
cmc22205201474 1
 
< 0.1%
cmc22204809610 1
 
< 0.1%
cmc22204701313 1
 
< 0.1%
cmc22205035202 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T17:58:28.905821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 34770
24.8%
C 20000
14.3%
0 16413
11.7%
4 10558
 
7.5%
M 10000
 
7.1%
5 9649
 
6.9%
1 6589
 
4.7%
8 6539
 
4.7%
9 6486
 
4.6%
7 6446
 
4.6%
Other values (2) 12550
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110000
78.6%
Uppercase Letter 30000
 
21.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 34770
31.6%
0 16413
14.9%
4 10558
 
9.6%
5 9649
 
8.8%
1 6589
 
6.0%
8 6539
 
5.9%
9 6486
 
5.9%
7 6446
 
5.9%
3 6446
 
5.9%
6 6104
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
C 20000
66.7%
M 10000
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 110000
78.6%
Latin 30000
 
21.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 34770
31.6%
0 16413
14.9%
4 10558
 
9.6%
5 9649
 
8.8%
1 6589
 
6.0%
8 6539
 
5.9%
9 6486
 
5.9%
7 6446
 
5.9%
3 6446
 
5.9%
6 6104
 
5.5%
Latin
ValueCountFrequency (%)
C 20000
66.7%
M 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 34770
24.8%
C 20000
14.3%
0 16413
11.7%
4 10558
 
7.5%
M 10000
 
7.1%
5 9649
 
6.9%
1 6589
 
4.7%
8 6539
 
4.7%
9 6486
 
4.6%
7 6446
 
4.6%
Other values (2) 12550
 
9.0%

재활용업체
Text

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T17:58:29.683177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length10.3932
Min length5

Characters and Unicode

Total characters103932
Distinct characters123
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row(주)북부녹산폐차장
2nd row(주)나우모터스
3rd row(주)북부녹산폐차장
4th row(주)군포종합폐차장
5th row(주)북부녹산폐차장
ValueCountFrequency (%)
주)군포종합폐차장 1141
 
10.6%
주)글로벌종합폐차산업 783
 
7.3%
주)성우모터스 585
 
5.4%
주)북부녹산폐차장 393
 
3.6%
주)모터스랜드 384
 
3.6%
주)새창 382
 
3.5%
주)문막원주해체산업 316
 
2.9%
유)일원폐차산업 283
 
2.6%
에이알씨(saeron 281
 
2.6%
arc 281
 
2.6%
Other values (73) 5952
55.2%
2024-04-21T17:58:30.915486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 10281
 
9.9%
) 10281
 
9.9%
주 9142
 
8.8%
차 7426
 
7.1%
폐 5794
 
5.6%
산 4190
 
4.0%
장 3819
 
3.7%
업 3590
 
3.5%
종 2755
 
2.7%
합 2755
 
2.7%
Other values (113) 43899
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80056
77.0%
Open Punctuation 10281
 
9.9%
Close Punctuation 10281
 
9.9%
Uppercase Letter 2529
 
2.4%
Space Separator 785
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 9142
 
11.4%
차 7426
 
9.3%
폐 5794
 
7.2%
산 4190
 
5.2%
장 3819
 
4.8%
업 3590
 
4.5%
종 2755
 
3.4%
합 2755
 
3.4%
동 1832
 
2.3%
해 1805
 
2.3%
Other values (103) 36948
46.2%
Uppercase Letter
ValueCountFrequency (%)
R 562
22.2%
A 562
22.2%
C 281
11.1%
N 281
11.1%
S 281
11.1%
O 281
11.1%
E 281
11.1%
Open Punctuation
ValueCountFrequency (%)
( 10281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10281
100.0%
Space Separator
ValueCountFrequency (%)
785
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80056
77.0%
Common 21347
 
20.5%
Latin 2529
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 9142
 
11.4%
차 7426
 
9.3%
폐 5794
 
7.2%
산 4190
 
5.2%
장 3819
 
4.8%
업 3590
 
4.5%
종 2755
 
3.4%
합 2755
 
3.4%
동 1832
 
2.3%
해 1805
 
2.3%
Other values (103) 36948
46.2%
Latin
ValueCountFrequency (%)
R 562
22.2%
A 562
22.2%
C 281
11.1%
N 281
11.1%
S 281
11.1%
O 281
11.1%
E 281
11.1%
Common
ValueCountFrequency (%)
( 10281
48.2%
) 10281
48.2%
785
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80056
77.0%
ASCII 23876
 
23.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 10281
43.1%
) 10281
43.1%
785
 
3.3%
R 562
 
2.4%
A 562
 
2.4%
C 281
 
1.2%
N 281
 
1.2%
S 281
 
1.2%
O 281
 
1.2%
E 281
 
1.2%
Hangul
ValueCountFrequency (%)
주 9142
 
11.4%
차 7426
 
9.3%
폐 5794
 
7.2%
산 4190
 
5.2%
장 3819
 
4.8%
업 3590
 
4.5%
종 2755
 
3.4%
합 2755
 
3.4%
동 1832
 
2.3%
해 1805
 
2.3%
Other values (103) 36948
46.2%

재활용일자
Date

Distinct326
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2024-04-21T17:58:31.310122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:58:31.738924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제출일자
Date

Distinct317
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2023-05-19 00:00:00
2024-04-21T17:58:32.151631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:58:32.573959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2024-04-21T17:58:26.780557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T17:58:27.062841image/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

관리표번호재활용업체재활용일자제출일자
74212CMC22204692782(주)북부녹산폐차장2022-02-102022-02-11
51537CMC32205192285(주)나우모터스2022-11-142022-11-15
76580CMC22205081697(주)북부녹산폐차장2022-09-162022-09-19
35071CMC22204967092(주)군포종합폐차장2022-07-132022-07-13
74002CMC22204653771(주)북부녹산폐차장2022-01-172022-01-18
61117CMC22205225175(주)대성폐차산업2022-12-012022-12-01
41070CMC22204683907(주)글로벌종합폐차산업2022-02-072022-02-08
46919CMC22205191730(주)글로벌종합폐차산업2022-11-142022-11-15
71762CMC22205059264(주)문막원주해체산업2022-09-012022-09-02
80740CMC22204633761(주)삼정폐차장2022-01-072022-01-07
관리표번호재활용업체재활용일자제출일자
48445CMC22204698681(주)금강폐차장2022-02-112022-02-16
2562CMC22204985563(유)남원종합폐차장2022-07-222022-07-22
59689CMC22205018817(주)대불자동차해체재활용산업2022-07-122022-08-10
18460CMC52205041467(주)가람이엔알2022-08-242022-08-24
64949CMC22205147630(주)마산폐차장2022-10-222022-10-24
28393CMC22204782868(주)구미자동차해체재활용산업2022-04-072022-04-07
11851CMC22204898178(유)함양폐차장2022-06-092022-06-10
46326CMC22205161517(주)글로벌종합폐차산업2022-10-282022-10-31
78097CMC22205226438(주)산수아이앤씨2022-12-012022-12-01
88495CMC22204689598(주)새창2022-02-102022-02-10