Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.4 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description전기전자제품및자동차의재활용시스템내 전기전자 유해물질 준수선언 정보를 제공(준수선언번호, 준수선언업체, 제품명, 승인일자)
Author환경부
URLhttps://www.data.go.kr/data/15092129/fileData.do

Alerts

준수선언번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:49:17.862561
Analysis finished2023-12-11 22:49:18.506322
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

준수선언번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222646.54
Minimum150426
Maximum234119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T07:49:18.574087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150426
5-th percentile212485.95
Q1216755.75
median223071
Q3228323.25
95-th percentile233041.05
Maximum234119
Range83693
Interquartile range (IQR)11567.5

Descriptive statistics

Standard deviation6906.0565
Coefficient of variation (CV)0.031018028
Kurtosis3.9509339
Mean222646.54
Median Absolute Deviation (MAD)5749.5
Skewness-0.52871349
Sum2.2264654 × 109
Variance47693616
MonotonicityNot monotonic
2023-12-12T07:49:18.730386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
225020 1
 
< 0.1%
211935 1
 
< 0.1%
213066 1
 
< 0.1%
216936 1
 
< 0.1%
219860 1
 
< 0.1%
224546 1
 
< 0.1%
230402 1
 
< 0.1%
219911 1
 
< 0.1%
217453 1
 
< 0.1%
223434 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
150426 1
< 0.1%
150428 1
< 0.1%
150429 1
< 0.1%
150434 1
< 0.1%
181620 1
< 0.1%
181621 1
< 0.1%
181622 1
< 0.1%
181623 1
< 0.1%
191090 1
< 0.1%
191302 1
< 0.1%
ValueCountFrequency (%)
234119 1
< 0.1%
234107 1
< 0.1%
234106 1
< 0.1%
234105 1
< 0.1%
234103 1
< 0.1%
234102 1
< 0.1%
234101 1
< 0.1%
234100 1
< 0.1%
234099 1
< 0.1%
234096 1
< 0.1%

준수선언업체
Text

Distinct331
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T07:49:18.941699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length8.2207
Min length2

Characters and Unicode

Total characters82207
Distinct characters328
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)0.6%

Sample

1st row삼성전자(주)
2nd row(주)누비콤
3rd row(주)반디
4th row(주)주연테크
5th row삼성전자(주)
ValueCountFrequency (%)
삼성전자(주 2641
20.4%
평택공장 1394
 
10.8%
lg전자 1394
 
10.8%
주식회사 1141
 
8.8%
주)주연테크 712
 
5.5%
스타리온성철 195
 
1.5%
신일전자주식회사 192
 
1.5%
주)다나와컴퓨터 176
 
1.4%
주)대원씨티에스 155
 
1.2%
주)삼보컴퓨터 151
 
1.2%
Other values (333) 4814
37.1%
2023-12-12T07:49:19.354562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8980
 
10.9%
) 6818
 
8.3%
( 6738
 
8.2%
전 4452
 
5.4%
자 4383
 
5.3%
2965
 
3.6%
성 2965
 
3.6%
삼 2793
 
3.4%
사 1827
 
2.2%
스 1818
 
2.2%
Other values (318) 38468
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62630
76.2%
Close Punctuation 6818
 
8.3%
Open Punctuation 6738
 
8.2%
Space Separator 2965
 
3.6%
Uppercase Letter 2858
 
3.5%
Connector Punctuation 82
 
0.1%
Lowercase Letter 80
 
0.1%
Other Punctuation 21
 
< 0.1%
Decimal Number 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8980
 
14.3%
전 4452
 
7.1%
자 4383
 
7.0%
성 2965
 
4.7%
삼 2793
 
4.5%
사 1827
 
2.9%
스 1818
 
2.9%
회 1639
 
2.6%
식 1492
 
2.4%
장 1481
 
2.4%
Other values (295) 30800
49.2%
Lowercase Letter
ValueCountFrequency (%)
a 10
12.5%
m 10
12.5%
e 10
12.5%
i 10
12.5%
s 10
12.5%
k 10
12.5%
o 10
12.5%
r 10
12.5%
Uppercase Letter
ValueCountFrequency (%)
G 1394
48.8%
L 1394
48.8%
K 19
 
0.7%
S 19
 
0.7%
P 16
 
0.6%
N 16
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 13
86.7%
6 1
 
6.7%
2 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 19
90.5%
. 2
 
9.5%
Close Punctuation
ValueCountFrequency (%)
) 6818
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6738
100.0%
Space Separator
ValueCountFrequency (%)
2965
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62630
76.2%
Common 16639
 
20.2%
Latin 2938
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8980
 
14.3%
전 4452
 
7.1%
자 4383
 
7.0%
성 2965
 
4.7%
삼 2793
 
4.5%
사 1827
 
2.9%
스 1818
 
2.9%
회 1639
 
2.6%
식 1492
 
2.4%
장 1481
 
2.4%
Other values (295) 30800
49.2%
Latin
ValueCountFrequency (%)
G 1394
47.4%
L 1394
47.4%
K 19
 
0.6%
S 19
 
0.6%
P 16
 
0.5%
N 16
 
0.5%
a 10
 
0.3%
m 10
 
0.3%
e 10
 
0.3%
i 10
 
0.3%
Other values (4) 40
 
1.4%
Common
ValueCountFrequency (%)
) 6818
41.0%
( 6738
40.5%
2965
17.8%
_ 82
 
0.5%
, 19
 
0.1%
1 13
 
0.1%
. 2
 
< 0.1%
6 1
 
< 0.1%
2 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62630
76.2%
ASCII 19577
 
23.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8980
 
14.3%
전 4452
 
7.1%
자 4383
 
7.0%
성 2965
 
4.7%
삼 2793
 
4.5%
사 1827
 
2.9%
스 1818
 
2.9%
회 1639
 
2.6%
식 1492
 
2.4%
장 1481
 
2.4%
Other values (295) 30800
49.2%
ASCII
ValueCountFrequency (%)
) 6818
34.8%
( 6738
34.4%
2965
15.1%
G 1394
 
7.1%
L 1394
 
7.1%
_ 82
 
0.4%
, 19
 
0.1%
K 19
 
0.1%
S 19
 
0.1%
P 16
 
0.1%
Other values (13) 113
 
0.6%

제품명
Text

Distinct1446
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T07:49:19.628529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length48
Mean length7.0441
Min length2

Characters and Unicode

Total characters70441
Distinct characters548
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1041 ?
Unique (%)10.4%

Sample

1st row삼성 PC
2nd rowSWICH
3rd row티앤무선주전자
4th row개인용 컴퓨터
5th row삼성 PC
ValueCountFrequency (%)
삼성 2575
 
15.9%
pc 1531
 
9.4%
컴퓨터 967
 
6.0%
개인용 770
 
4.7%
에어컨디셔너 701
 
4.3%
이동전화단말기 540
 
3.3%
노트북 539
 
3.3%
냉장고 284
 
1.7%
데스크탑컴퓨터 233
 
1.4%
데스크탑 198
 
1.2%
Other values (1744) 7893
48.6%
2023-12-12T07:49:20.079551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6250
 
8.9%
성 2659
 
3.8%
터 2597
 
3.7%
삼 2575
 
3.7%
C 2195
 
3.1%
기 2140
 
3.0%
P 2104
 
3.0%
컴 1957
 
2.8%
퓨 1875
 
2.7%
스 1202
 
1.7%
Other values (538) 44887
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46716
66.3%
Uppercase Letter 11126
 
15.8%
Space Separator 6250
 
8.9%
Decimal Number 2638
 
3.7%
Lowercase Letter 2342
 
3.3%
Close Punctuation 391
 
0.6%
Open Punctuation 391
 
0.6%
Other Punctuation 289
 
0.4%
Dash Punctuation 271
 
0.4%
Math Symbol 17
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 2659
 
5.7%
터 2597
 
5.6%
삼 2575
 
5.5%
기 2140
 
4.6%
컴 1957
 
4.2%
퓨 1875
 
4.0%
스 1202
 
2.6%
전 1174
 
2.5%
용 1124
 
2.4%
인 1067
 
2.3%
Other values (456) 28346
60.7%
Uppercase Letter
ValueCountFrequency (%)
C 2195
19.7%
P 2104
18.9%
E 633
 
5.7%
A 587
 
5.3%
O 538
 
4.8%
T 527
 
4.7%
D 474
 
4.3%
L 431
 
3.9%
N 386
 
3.5%
R 386
 
3.5%
Other values (16) 2865
25.8%
Lowercase Letter
ValueCountFrequency (%)
r 271
11.6%
t 260
11.1%
o 254
10.8%
e 248
10.6%
i 231
9.9%
a 175
 
7.5%
n 137
 
5.8%
l 100
 
4.3%
v 93
 
4.0%
c 92
 
3.9%
Other values (15) 481
20.5%
Decimal Number
ValueCountFrequency (%)
0 582
22.1%
2 398
15.1%
5 384
14.6%
1 366
13.9%
3 226
 
8.6%
4 175
 
6.6%
6 171
 
6.5%
7 157
 
6.0%
8 103
 
3.9%
9 76
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 191
66.1%
. 49
 
17.0%
/ 26
 
9.0%
· 11
 
3.8%
& 8
 
2.8%
" 2
 
0.7%
; 1
 
0.3%
# 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 389
99.5%
） 1
 
0.3%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 389
99.5%
（ 1
 
0.3%
[ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 11
64.7%
→ 5
29.4%
↔ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
6250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 271
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46716
66.3%
Latin 13468
 
19.1%
Common 10257
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 2659
 
5.7%
터 2597
 
5.6%
삼 2575
 
5.5%
기 2140
 
4.6%
컴 1957
 
4.2%
퓨 1875
 
4.0%
스 1202
 
2.6%
전 1174
 
2.5%
용 1124
 
2.4%
인 1067
 
2.3%
Other values (456) 28346
60.7%
Latin
ValueCountFrequency (%)
C 2195
16.3%
P 2104
15.6%
E 633
 
4.7%
A 587
 
4.4%
O 538
 
4.0%
T 527
 
3.9%
D 474
 
3.5%
L 431
 
3.2%
N 386
 
2.9%
R 386
 
2.9%
Other values (41) 5207
38.7%
Common
ValueCountFrequency (%)
6250
60.9%
0 582
 
5.7%
2 398
 
3.9%
) 389
 
3.8%
( 389
 
3.8%
5 384
 
3.7%
1 366
 
3.6%
- 271
 
2.6%
3 226
 
2.2%
, 191
 
1.9%
Other values (21) 811
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46716
66.3%
ASCII 23706
33.7%
None 13
 
< 0.1%
Arrows 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6250
26.4%
C 2195
 
9.3%
P 2104
 
8.9%
E 633
 
2.7%
A 587
 
2.5%
0 582
 
2.5%
O 538
 
2.3%
T 527
 
2.2%
D 474
 
2.0%
L 431
 
1.8%
Other values (67) 9385
39.6%
Hangul
ValueCountFrequency (%)
성 2659
 
5.7%
터 2597
 
5.6%
삼 2575
 
5.5%
기 2140
 
4.6%
컴 1957
 
4.2%
퓨 1875
 
4.0%
스 1202
 
2.6%
전 1174
 
2.5%
용 1124
 
2.4%
인 1067
 
2.3%
Other values (456) 28346
60.7%
None
ValueCountFrequency (%)
· 11
84.6%
） 1
 
7.7%
（ 1
 
7.7%
Arrows
ValueCountFrequency (%)
→ 5
83.3%
↔ 1
 
16.7%

승인일
Date

Distinct228
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T07:49:20.201634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:20.380592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T07:49:18.301176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T07:49:18.395552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:49:18.469434image/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

준수선언번호준수선언업체제품명승인일
6697225020삼성전자(주)삼성 PC2022-07-25
11433217890(주)누비콤SWICH2022-04-04
687233355(주)반디티앤무선주전자2022-12-20
8437222753(주)주연테크개인용 컴퓨터2022-06-02
13816214845삼성전자(주)삼성 PC2022-02-21
8955221405삼성전자(주)삼성 이동전화단말기2022-05-20
14071214576(주)성주컴텍성주컴텍PC2022-02-16
12427216732LG전자 평택공장노트북2022-03-17
13000215770삼성전자(주)삼성 냉장고2022-03-10
533233557주식회사 스타리온성철업소용냉장고2022-12-22
준수선언번호준수선언업체제품명승인일
11824217437(주)레드스톤시스템데스크탑컴퓨터2022-03-28
13725214936LG전자 평택공장에어컨디셔너2022-02-21
8971221378주식회사 컴트리컴퓨터(모니터,랩탑 둥)2022-05-23
2336231204LG전자 평택공장에어컨디셔너2022-11-22
6004225942삼성전자(주)삼성 PC2022-08-11
10849218777(주)웰템이동식에어컨2022-04-25
6726224991삼성전자(주)삼성 이동전화단말기2022-07-25
13936214716(주)포스뱅크APEXA 듀얼모니터 9.7"2022-02-17
3208230134삼성전자(주)삼성 PC2022-10-26
10132219684LG전자 평택공장냉장고2022-04-20