Overview

Dataset statistics

Number of variables4
Number of observations8343
Missing cells21
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory269.0 KiB
Average record size in memory33.0 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description전기전자제품및자동차의재활용시스템내 자동차 재활용 준수선언 정보를 제공(준수선언번호,준수선언업체,제품명,승인일자)
Author환경부
URLhttps://www.data.go.kr/data/15092130/fileData.do

Alerts

준수선언번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:08:03.713202
Analysis finished2023-12-12 21:08:04.375858
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

준수선언번호
Real number (ℝ)

UNIQUE 

Distinct8343
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88480.028
Minimum2986
Maximum116089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.5 KiB
2023-12-13T06:08:04.452799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2986
5-th percentile30895.1
Q170092.5
median106091
Q3111107
95-th percentile115150.9
Maximum116089
Range113103
Interquartile range (IQR)41014.5

Descriptive statistics

Standard deviation29953.604
Coefficient of variation (CV)0.3385352
Kurtosis-0.51375159
Mean88480.028
Median Absolute Deviation (MAD)8256
Skewness-0.974976
Sum7.3818887 × 108
Variance8.9721837 × 108
MonotonicityStrictly decreasing
2023-12-13T06:08:04.612478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116089 1
 
< 0.1%
83341 1
 
< 0.1%
83551 1
 
< 0.1%
83934 1
 
< 0.1%
83935 1
 
< 0.1%
83936 1
 
< 0.1%
83937 1
 
< 0.1%
83938 1
 
< 0.1%
83939 1
 
< 0.1%
83991 1
 
< 0.1%
Other values (8333) 8333
99.9%
ValueCountFrequency (%)
2986 1
< 0.1%
2987 1
< 0.1%
2988 1
< 0.1%
2989 1
< 0.1%
2990 1
< 0.1%
3246 1
< 0.1%
3247 1
< 0.1%
3248 1
< 0.1%
3249 1
< 0.1%
3484 1
< 0.1%
ValueCountFrequency (%)
116089 1
< 0.1%
116088 1
< 0.1%
116083 1
< 0.1%
116082 1
< 0.1%
116079 1
< 0.1%
116077 1
< 0.1%
116075 1
< 0.1%
116074 1
< 0.1%
116073 1
< 0.1%
116072 1
< 0.1%

준수선언업체
Text

Distinct106
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-13T06:08:04.823225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.515522
Min length2

Characters and Unicode

Total characters79388
Distinct characters190
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)0.4%

Sample

1st row메르세데스벤츠코리아(주)
2nd row메르세데스벤츠코리아(주)
3rd row주식회사 에프엠케이
4th row주식회사 에프엠케이
5th row주식회사 에프엠케이
ValueCountFrequency (%)
비엠더블유코리아(주 2767
30.8%
기아자동차 964
 
10.7%
현대자동차 919
 
10.2%
메르세데스벤츠코리아(주 860
 
9.6%
주식회사 594
 
6.6%
포르쉐코리아(주 575
 
6.4%
아우디폭스바겐코리아 310
 
3.5%
포드세일즈서비스코리아(유 285
 
3.2%
주)볼보자동차코리아 250
 
2.8%
한불모터스(주 176
 
2.0%
Other values (102) 1272
14.2%
2023-12-13T06:08:05.532552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 6746
 
8.5%
주 5727
 
7.2%
코 5358
 
6.7%
리 5357
 
6.7%
) 5213
 
6.6%
( 5211
 
6.6%
유 3071
 
3.9%
비 3063
 
3.9%
엠 2972
 
3.7%
더 2785
 
3.5%
Other values (180) 33885
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68211
85.9%
Close Punctuation 5213
 
6.6%
Open Punctuation 5211
 
6.6%
Space Separator 629
 
0.8%
Uppercase Letter 119
 
0.1%
Decimal Number 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 6746
 
9.9%
주 5727
 
8.4%
코 5358
 
7.9%
리 5357
 
7.9%
유 3071
 
4.5%
비 3063
 
4.5%
엠 2972
 
4.4%
더 2785
 
4.1%
블 2767
 
4.1%
차 2348
 
3.4%
Other values (156) 28017
41.1%
Uppercase Letter
ValueCountFrequency (%)
R 19
16.0%
O 17
14.3%
J 11
9.2%
K 11
9.2%
E 9
7.6%
A 7
 
5.9%
V 7
 
5.9%
Y 7
 
5.9%
M 6
 
5.0%
T 6
 
5.0%
Other values (9) 19
16.0%
Close Punctuation
ValueCountFrequency (%)
) 5213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5211
100.0%
Space Separator
ValueCountFrequency (%)
629
100.0%
Decimal Number
ValueCountFrequency (%)
4 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68211
85.9%
Common 11058
 
13.9%
Latin 119
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 6746
 
9.9%
주 5727
 
8.4%
코 5358
 
7.9%
리 5357
 
7.9%
유 3071
 
4.5%
비 3063
 
4.5%
엠 2972
 
4.4%
더 2785
 
4.1%
블 2767
 
4.1%
차 2348
 
3.4%
Other values (156) 28017
41.1%
Latin
ValueCountFrequency (%)
R 19
16.0%
O 17
14.3%
J 11
9.2%
K 11
9.2%
E 9
7.6%
A 7
 
5.9%
V 7
 
5.9%
Y 7
 
5.9%
M 6
 
5.0%
T 6
 
5.0%
Other values (9) 19
16.0%
Common
ValueCountFrequency (%)
) 5213
47.1%
( 5211
47.1%
629
 
5.7%
4 4
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68211
85.9%
ASCII 11177
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 6746
 
9.9%
주 5727
 
8.4%
코 5358
 
7.9%
리 5357
 
7.9%
유 3071
 
4.5%
비 3063
 
4.5%
엠 2972
 
4.4%
더 2785
 
4.1%
블 2767
 
4.1%
차 2348
 
3.4%
Other values (156) 28017
41.1%
ASCII
ValueCountFrequency (%)
) 5213
46.6%
( 5211
46.6%
629
 
5.6%
R 19
 
0.2%
O 17
 
0.2%
J 11
 
0.1%
K 11
 
0.1%
E 9
 
0.1%
A 7
 
0.1%
V 7
 
0.1%
Other values (14) 43
 
0.4%

제품명
Text

Distinct2112
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-13T06:08:05.918145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length13.097447
Min length2

Characters and Unicode

Total characters109272
Distinct characters316
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique861 ?
Unique (%)10.3%

Sample

1st rowMercedes-Benz GLB250 4MATIC
2nd rowMercedes-Benz GLB250 4MATIC
3rd row페라리 SF90 Spider Assetto Fiorano
4th row페라리 SF90 Spider
5th row마세라티 MC20
ValueCountFrequency (%)
bmw 2058
 
9.7%
mini 527
 
2.5%
cooper 523
 
2.5%
xdrive 511
 
2.4%
4matic 449
 
2.1%
coupe 438
 
2.1%
s 369
 
1.7%
d 271
 
1.3%
볼보 250
 
1.2%
m 237
 
1.1%
Other values (1307) 15605
73.5%
2023-12-13T06:08:06.550210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13006
 
11.9%
e 5303
 
4.9%
M 4544
 
4.2%
0 3762
 
3.4%
r 3671
 
3.4%
o 3542
 
3.2%
i 3364
 
3.1%
B 2650
 
2.4%
W 2605
 
2.4%
C 2523
 
2.3%
Other values (306) 64302
58.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 35410
32.4%
Uppercase Letter 30971
28.3%
Decimal Number 14416
13.2%
Space Separator 13006
 
11.9%
Other Letter 12915
 
11.8%
Dash Punctuation 861
 
0.8%
Other Punctuation 570
 
0.5%
Open Punctuation 426
 
0.4%
Close Punctuation 426
 
0.4%
Letter Number 211
 
0.2%
Other values (2) 60
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 837
 
6.5%
이 548
 
4.2%
카 492
 
3.8%
라 439
 
3.4%
보 429
 
3.3%
레 416
 
3.2%
리 361
 
2.8%
토 347
 
2.7%
타 319
 
2.5%
쏘 272
 
2.1%
Other values (233) 8455
65.5%
Uppercase Letter
ValueCountFrequency (%)
M 4544
14.7%
B 2650
 
8.6%
W 2605
 
8.4%
C 2523
 
8.1%
D 2275
 
7.3%
I 2218
 
7.2%
S 1931
 
6.2%
A 1617
 
5.2%
T 1331
 
4.3%
L 1257
 
4.1%
Other values (16) 8020
25.9%
Lowercase Letter
ValueCountFrequency (%)
e 5303
15.0%
r 3671
10.4%
o 3542
 
10.0%
i 3364
 
9.5%
a 2032
 
5.7%
d 1926
 
5.4%
n 1806
 
5.1%
t 1681
 
4.7%
u 1520
 
4.3%
c 1514
 
4.3%
Other values (15) 9051
25.6%
Decimal Number
ValueCountFrequency (%)
0 3762
26.1%
5 1925
13.4%
4 1835
12.7%
3 1736
12.0%
2 1583
11.0%
1 1050
 
7.3%
6 855
 
5.9%
8 697
 
4.8%
7 585
 
4.1%
9 388
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 555
97.4%
, 13
 
2.3%
& 1
 
0.2%
/ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅲ 122
57.8%
Ⅱ 89
42.2%
Space Separator
ValueCountFrequency (%)
13006
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 861
100.0%
Open Punctuation
ValueCountFrequency (%)
( 426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 426
100.0%
Math Symbol
ValueCountFrequency (%)
+ 57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 66592
60.9%
Common 29765
27.2%
Hangul 12915
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 837
 
6.5%
이 548
 
4.2%
카 492
 
3.8%
라 439
 
3.4%
보 429
 
3.3%
레 416
 
3.2%
리 361
 
2.8%
토 347
 
2.7%
타 319
 
2.5%
쏘 272
 
2.1%
Other values (233) 8455
65.5%
Latin
ValueCountFrequency (%)
e 5303
 
8.0%
M 4544
 
6.8%
r 3671
 
5.5%
o 3542
 
5.3%
i 3364
 
5.1%
B 2650
 
4.0%
W 2605
 
3.9%
C 2523
 
3.8%
D 2275
 
3.4%
I 2218
 
3.3%
Other values (43) 33897
50.9%
Common
ValueCountFrequency (%)
13006
43.7%
0 3762
 
12.6%
5 1925
 
6.5%
4 1835
 
6.2%
3 1736
 
5.8%
2 1583
 
5.3%
1 1050
 
3.5%
- 861
 
2.9%
6 855
 
2.9%
8 697
 
2.3%
Other values (10) 2455
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96146
88.0%
Hangul 12915
 
11.8%
Number Forms 211
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13006
 
13.5%
e 5303
 
5.5%
M 4544
 
4.7%
0 3762
 
3.9%
r 3671
 
3.8%
o 3542
 
3.7%
i 3364
 
3.5%
B 2650
 
2.8%
W 2605
 
2.7%
C 2523
 
2.6%
Other values (61) 51176
53.2%
Hangul
ValueCountFrequency (%)
스 837
 
6.5%
이 548
 
4.2%
카 492
 
3.8%
라 439
 
3.4%
보 429
 
3.3%
레 416
 
3.2%
리 361
 
2.8%
토 347
 
2.7%
타 319
 
2.5%
쏘 272
 
2.1%
Other values (233) 8455
65.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 122
57.8%
Ⅱ 89
42.2%

승인일자
Date

Distinct651
Distinct (%)7.8%
Missing21
Missing (%)0.3%
Memory size65.3 KiB
Minimum2009-06-04 00:00:00
Maximum2021-10-13 00:00:00
2023-12-13T06:08:06.716884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:06.875582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T06:08:04.101061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T06:08:04.261640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:08:04.342007image/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

준수선언번호준수선언업체제품명승인일자
0116089메르세데스벤츠코리아(주)Mercedes-Benz GLB250 4MATIC2021-10-13
1116088메르세데스벤츠코리아(주)Mercedes-Benz GLB250 4MATIC2021-10-13
2116083주식회사 에프엠케이페라리 SF90 Spider Assetto Fiorano2021-10-06
3116082주식회사 에프엠케이페라리 SF90 Spider2021-10-06
4116079주식회사 에프엠케이마세라티 MC202021-10-06
5116077메르세데스벤츠코리아(주)Mercedes-AMG GT43 4MATIC +2021-10-05
6116075비엠더블유코리아(주)BMW Z4 M40i2021-09-30
7116074비엠더블유코리아(주)BMW Z4 sDrive20i2021-09-30
8116073비엠더블유코리아(주)BMW Z4 sDrive20i2021-09-30
9116072비엠더블유코리아(주)BMW Z4 sDrive20i2021-09-30
준수선언번호준수선언업체제품명승인일자
83333484현대자동차제네시스 쿠페<NA>
83343249기아자동차쏘울<NA>
83353248기아자동차쏘울<NA>
83363247기아자동차쏘울<NA>
83373246기아자동차쏘울<NA>
83382990기아자동차포르테<NA>
83392989기아자동차포르테<NA>
83402988기아자동차포르테<NA>
83412987기아자동차포르테<NA>
83422986기아자동차포르테<NA>