Overview

Dataset statistics

Number of variables5
Number of observations47
Missing cells17
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory44.8 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description전기전자제품및자동차의재활용시스템 내 뉴스레터 및 최신동향 정보를 제공(순번,제목,조회 수,등록 일시,출처 명)
Author환경부
URLhttps://www.data.go.kr/data/15092565/fileData.do

Alerts

출처 명 has 17 (36.2%) missing valuesMissing
순번 has unique valuesUnique
제목 has unique valuesUnique
등록 일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:30:18.041886
Analysis finished2023-12-12 13:30:18.860021
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean762.70213
Minimum153
Maximum2231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T22:30:18.945377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153
5-th percentile163.3
Q1227
median362
Q31401.5
95-th percentile2043.1
Maximum2231
Range2078
Interquartile range (IQR)1174.5

Descriptive statistics

Standard deviation684.66828
Coefficient of variation (CV)0.89768764
Kurtosis-0.84152284
Mean762.70213
Median Absolute Deviation (MAD)160
Skewness0.8765236
Sum35847
Variance468770.65
MonotonicityStrictly increasing
2023-12-12T22:30:19.110449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
153 1
 
2.1%
154 1
 
2.1%
438 1
 
2.1%
445 1
 
2.1%
454 1
 
2.1%
720 1
 
2.1%
721 1
 
2.1%
1126 1
 
2.1%
1127 1
 
2.1%
1196 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
153 1
2.1%
154 1
2.1%
163 1
2.1%
164 1
2.1%
201 1
2.1%
202 1
2.1%
203 1
2.1%
204 1
2.1%
219 1
2.1%
220 1
2.1%
ValueCountFrequency (%)
2231 1
2.1%
2144 1
2.1%
2083 1
2.1%
1950 1
2.1%
1806 1
2.1%
1774 1
2.1%
1719 1
2.1%
1713 1
2.1%
1651 1
2.1%
1556 1
2.1%

제목
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T22:30:19.430996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length45
Mean length32.170213
Min length10

Characters and Unicode

Total characters1512
Distinct characters157
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st rowEU RoHS(유해물질 사용제한 지침) 영한대역
2nd rowEU WEEE(폐전기·폐전자제품처리지침) 영한대역
3rd rowECOPolicy vol1
4th rowECOPolicy vol2
5th rowEU 폐차차처리지침
ValueCountFrequency (%)
eu 18
 
7.1%
국제환경규제 16
 
6.3%
동향 16
 
6.3%
폐차처리지침 8
 
3.2%
of 7
 
2.8%
the 7
 
2.8%
report 5
 
2.0%
부속문서ⅱ 4
 
1.6%
분석 4
 
1.6%
final 4
 
1.6%
Other values (121) 163
64.7%
2023-12-12T22:30:19.936985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
 
13.6%
e 64
 
4.2%
0 45
 
3.0%
E 43
 
2.8%
i 43
 
2.8%
2 41
 
2.7%
제 40
 
2.6%
t 37
 
2.4%
o 37
 
2.4%
n 32
 
2.1%
Other values (147) 925
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
32.7%
Lowercase Letter 413
27.3%
Space Separator 205
13.6%
Decimal Number 163
 
10.8%
Uppercase Letter 154
 
10.2%
Other Punctuation 30
 
2.0%
Close Punctuation 17
 
1.1%
Open Punctuation 17
 
1.1%
Dash Punctuation 11
 
0.7%
Letter Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 40
 
8.1%
규 18
 
3.6%
분 18
 
3.6%
동 17
 
3.4%
국 17
 
3.4%
지 17
 
3.4%
침 17
 
3.4%
경 16
 
3.2%
환 16
 
3.2%
향 16
 
3.2%
Other values (80) 302
61.1%
Lowercase Letter
ValueCountFrequency (%)
e 64
15.5%
i 43
10.4%
t 37
9.0%
o 37
9.0%
n 32
 
7.7%
c 27
 
6.5%
l 26
 
6.3%
r 24
 
5.8%
s 22
 
5.3%
a 21
 
5.1%
Other values (12) 80
19.4%
Uppercase Letter
ValueCountFrequency (%)
E 43
27.9%
U 19
12.3%
C 14
 
9.1%
R 11
 
7.1%
V 9
 
5.8%
S 7
 
4.5%
H 6
 
3.9%
I 6
 
3.9%
L 6
 
3.9%
A 5
 
3.2%
Other values (11) 28
18.2%
Decimal Number
ValueCountFrequency (%)
0 45
27.6%
2 41
25.2%
1 26
16.0%
4 13
 
8.0%
3 12
 
7.4%
6 7
 
4.3%
5 6
 
3.7%
8 6
 
3.7%
7 4
 
2.5%
9 3
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 10
33.3%
/ 9
30.0%
: 3
 
10.0%
' 2
 
6.7%
" 2
 
6.7%
, 2
 
6.7%
& 1
 
3.3%
· 1
 
3.3%
Space Separator
ValueCountFrequency (%)
205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 571
37.8%
Hangul 494
32.7%
Common 447
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 40
 
8.1%
규 18
 
3.6%
분 18
 
3.6%
동 17
 
3.4%
국 17
 
3.4%
지 17
 
3.4%
침 17
 
3.4%
경 16
 
3.2%
환 16
 
3.2%
향 16
 
3.2%
Other values (80) 302
61.1%
Latin
ValueCountFrequency (%)
e 64
 
11.2%
E 43
 
7.5%
i 43
 
7.5%
t 37
 
6.5%
o 37
 
6.5%
n 32
 
5.6%
c 27
 
4.7%
l 26
 
4.6%
r 24
 
4.2%
s 22
 
3.9%
Other values (34) 216
37.8%
Common
ValueCountFrequency (%)
205
45.9%
0 45
 
10.1%
2 41
 
9.2%
1 26
 
5.8%
) 17
 
3.8%
( 17
 
3.8%
4 13
 
2.9%
3 12
 
2.7%
- 11
 
2.5%
. 10
 
2.2%
Other values (13) 50
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1013
67.0%
Hangul 494
32.7%
Number Forms 4
 
0.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
20.2%
e 64
 
6.3%
0 45
 
4.4%
E 43
 
4.2%
i 43
 
4.2%
2 41
 
4.0%
t 37
 
3.7%
o 37
 
3.7%
n 32
 
3.2%
c 27
 
2.7%
Other values (55) 439
43.3%
Hangul
ValueCountFrequency (%)
제 40
 
8.1%
규 18
 
3.6%
분 18
 
3.6%
동 17
 
3.4%
국 17
 
3.4%
지 17
 
3.4%
침 17
 
3.4%
경 16
 
3.2%
환 16
 
3.2%
향 16
 
3.2%
Other values (80) 302
61.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

조회 수
Real number (ℝ)

Distinct44
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1733.7447
Minimum194
Maximum17634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T22:30:20.098070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum194
5-th percentile296.2
Q1695
median719
Q3855.5
95-th percentile11555.7
Maximum17634
Range17440
Interquartile range (IQR)160.5

Descriptive statistics

Standard deviation3978.2951
Coefficient of variation (CV)2.2946257
Kurtosis12.166251
Mean1733.7447
Median Absolute Deviation (MAD)102
Skewness3.6854049
Sum81486
Variance15826832
MonotonicityNot monotonic
2023-12-12T22:30:20.268989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
706 2
 
4.3%
714 2
 
4.3%
831 2
 
4.3%
802 1
 
2.1%
978 1
 
2.1%
793 1
 
2.1%
832 1
 
2.1%
703 1
 
2.1%
753 1
 
2.1%
788 1
 
2.1%
Other values (34) 34
72.3%
ValueCountFrequency (%)
194 1
2.1%
239 1
2.1%
283 1
2.1%
327 1
2.1%
330 1
2.1%
519 1
2.1%
605 1
2.1%
617 1
2.1%
668 1
2.1%
678 1
2.1%
ValueCountFrequency (%)
17634 1
2.1%
16613 1
2.1%
16089 1
2.1%
978 1
2.1%
925 1
2.1%
915 1
2.1%
906 1
2.1%
897 1
2.1%
888 1
2.1%
876 1
2.1%

등록 일시
Date

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2008-06-02 16:05:00
Maximum2014-11-20 14:54:00
2023-12-12T22:30:20.466225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:20.663628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

출처 명
Text

MISSING 

Distinct20
Distinct (%)66.7%
Missing17
Missing (%)36.2%
Memory size508.0 B
2023-12-12T22:30:20.945930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length66
Mean length35.633333
Min length2

Characters and Unicode

Total characters1069
Distinct characters70
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)50.0%

Sample

1st row한국환경자원공사(국제정책연구센터)
2nd row한국환경자원공사(국제정책연구센터)
3rd rowhttp://ec.europa.eu/environment/waste/elv_index.htm
4th rowhttp://ec.europa.eu/environment/waste/elv_index.htm
5th rowhttp://ec.europa.eu/environment/waste/elv_index.htm
ValueCountFrequency (%)
등 8
15.7%
eu 8
15.7%
weee 7
13.7%
http://ec.europa.eu/environment/waste/elv_index.htm 6
11.8%
rohs 6
11.8%
한국환경자원공사(국제정책연구센터 2
 
3.9%
http://www.cleancarcampaign.org/pdfs/toxicsinvehicles_mercury.pdf 1
 
2.0%
http://ec.europa.eu/environment/waste/studies/elv/heavymetals1.pdf 1
 
2.0%
http://ec.europa.eu/environment/waste/studies/elv/heavy_metals.pdf 1
 
2.0%
http://www.europarl.europa.eu/comparl/envi/pdf/externalexpertise/end_of_life_vehicles.pdf 1
 
2.0%
Other values (10) 10
19.6%
2023-12-12T22:30:21.659646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 121
 
11.3%
/ 85
 
8.0%
t 76
 
7.1%
p 52
 
4.9%
n 52
 
4.9%
. 46
 
4.3%
r 42
 
3.9%
o 42
 
3.9%
a 40
 
3.7%
u 33
 
3.1%
Other values (60) 480
44.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 728
68.1%
Other Punctuation 152
 
14.2%
Uppercase Letter 75
 
7.0%
Other Letter 53
 
5.0%
Space Separator 21
 
2.0%
Connector Punctuation 20
 
1.9%
Decimal Number 13
 
1.2%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 121
16.6%
t 76
 
10.4%
p 52
 
7.1%
n 52
 
7.1%
r 42
 
5.8%
o 42
 
5.8%
a 40
 
5.5%
u 33
 
4.5%
i 32
 
4.4%
s 30
 
4.1%
Other values (13) 208
28.6%
Other Letter
ValueCountFrequency (%)
등 8
15.1%
국 6
 
11.3%
경 4
 
7.5%
제 3
 
5.7%
공 3
 
5.7%
환 3
 
5.7%
한 3
 
5.7%
자 2
 
3.8%
구 2
 
3.8%
원 2
 
3.8%
Other values (11) 17
32.1%
Uppercase Letter
ValueCountFrequency (%)
E 31
41.3%
U 8
 
10.7%
R 8
 
10.7%
S 7
 
9.3%
W 7
 
9.3%
H 7
 
9.3%
A 2
 
2.7%
C 2
 
2.7%
I 1
 
1.3%
T 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 5
38.5%
1 3
23.1%
9 2
 
15.4%
2 1
 
7.7%
6 1
 
7.7%
4 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 85
55.9%
. 46
30.3%
: 15
 
9.9%
, 6
 
3.9%
Space Separator
ValueCountFrequency (%)
21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 803
75.1%
Common 213
 
19.9%
Hangul 53
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 121
15.1%
t 76
 
9.5%
p 52
 
6.5%
n 52
 
6.5%
r 42
 
5.2%
o 42
 
5.2%
a 40
 
5.0%
u 33
 
4.1%
i 32
 
4.0%
E 31
 
3.9%
Other values (24) 282
35.1%
Hangul
ValueCountFrequency (%)
등 8
15.1%
국 6
 
11.3%
경 4
 
7.5%
제 3
 
5.7%
공 3
 
5.7%
환 3
 
5.7%
한 3
 
5.7%
자 2
 
3.8%
구 2
 
3.8%
원 2
 
3.8%
Other values (11) 17
32.1%
Common
ValueCountFrequency (%)
/ 85
39.9%
. 46
21.6%
21
 
9.9%
_ 20
 
9.4%
: 15
 
7.0%
, 6
 
2.8%
0 5
 
2.3%
) 3
 
1.4%
1 3
 
1.4%
( 3
 
1.4%
Other values (5) 6
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
95.0%
Hangul 53
 
5.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 121
 
11.9%
/ 85
 
8.4%
t 76
 
7.5%
p 52
 
5.1%
n 52
 
5.1%
. 46
 
4.5%
r 42
 
4.1%
o 42
 
4.1%
a 40
 
3.9%
u 33
 
3.2%
Other values (39) 427
42.0%
Hangul
ValueCountFrequency (%)
등 8
15.1%
국 6
 
11.3%
경 4
 
7.5%
제 3
 
5.7%
공 3
 
5.7%
환 3
 
5.7%
한 3
 
5.7%
자 2
 
3.8%
구 2
 
3.8%
원 2
 
3.8%
Other values (11) 17
32.1%

Interactions

2023-12-12T22:30:18.489059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:18.313894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:18.577629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:18.389331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:30:21.776660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번제목조회 수등록 일시출처 명
순번1.0001.0001.0001.0000.892
제목1.0001.0001.0001.0001.000
조회 수1.0001.0001.0001.000NaN
등록 일시1.0001.0001.0001.0001.000
출처 명0.8921.000NaN1.0001.000
2023-12-12T22:30:21.939951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조회 수
순번1.000-0.015
조회 수-0.0151.000

Missing values

2023-12-12T22:30:18.711181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:30:18.815778image/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

순번제목조회 수등록 일시출처 명
0153EU RoHS(유해물질 사용제한 지침) 영한대역8022008-06-02 16:05:00<NA>
1154EU WEEE(폐전기·폐전자제품처리지침) 영한대역9152008-06-02 17:39:00<NA>
2163ECOPolicy vol17152008-06-16 16:48:00한국환경자원공사(국제정책연구센터)
3164ECOPolicy vol26962008-06-16 17:32:00한국환경자원공사(국제정책연구센터)
4201EU 폐차차처리지침8652008-07-28 11:34:00<NA>
5202EU 폐차처리지침 부속문서Ⅱ 개정결정문(2002.525.EC_2002-06-27)6922008-07-28 13:23:00<NA>
6203EU 폐차처리지침 부속문서Ⅱ 개정결정문(2005.438.EC_2005-06-10)6942008-07-28 13:26:00<NA>
7204EU 폐차처리지침 부속문서Ⅱ 개정결정문(2005.673.EC_2005-09-20)7142008-07-28 13:27:00<NA>
8219EU 폐차처리지침 Guidance Document7112008-08-14 10:43:00http://ec.europa.eu/environment/waste/elv_index.htm
9220EU 폐차처리지침 Rules on compliance with Article 7.27202008-08-14 10:45:00http://ec.europa.eu/environment/waste/elv_index.htm
순번제목조회 수등록 일시출처 명
3715562012년도 3/4분기 국제환경규제 동향 분석5192012-10-24 17:23:00EU WEEE 등
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