Overview

Dataset statistics

Number of variables7
Number of observations1827
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.8 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text3
Categorical1
DateTime2

Dataset

Description확인받은 녹색기술제품 중 기준일 현재 유효한 목록들이며 순번, 제품명, 신청기관명, 발급부처, 확인번호, 확인일자, 확인만료일자로 이루어져 있습니다.
URLhttps://www.data.go.kr/data/15054157/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:11:51.331339
Analysis finished2023-12-12 07:11:52.689927
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1827
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean914
Minimum1
Maximum1827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-12T16:11:52.773559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile92.3
Q1457.5
median914
Q31370.5
95-th percentile1735.7
Maximum1827
Range1826
Interquartile range (IQR)913

Descriptive statistics

Standard deviation527.55379
Coefficient of variation (CV)0.57719233
Kurtosis-1.2
Mean914
Median Absolute Deviation (MAD)457
Skewness0
Sum1669878
Variance278313
MonotonicityStrictly increasing
2023-12-12T16:11:52.959359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1229 1
 
0.1%
1227 1
 
0.1%
1226 1
 
0.1%
1225 1
 
0.1%
1224 1
 
0.1%
1223 1
 
0.1%
1222 1
 
0.1%
1221 1
 
0.1%
1220 1
 
0.1%
Other values (1817) 1817
99.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1827 1
0.1%
1826 1
0.1%
1825 1
0.1%
1824 1
0.1%
1823 1
0.1%
1822 1
0.1%
1821 1
0.1%
1820 1
0.1%
1819 1
0.1%
1818 1
0.1%

확인번호
Text

Distinct1826
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-12T16:11:53.270804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters21924
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1825 ?
Unique (%)99.9%

Sample

1st rowGTP-20-01906
2nd rowGTP-22-03234
3rd rowGTP-22-03227
4th rowGTP-20-01851
5th rowGTP-20-01852
ValueCountFrequency (%)
gtp-20-01906 2
 
0.1%
gtp-22-02983 1
 
0.1%
gtp-22-02987 1
 
0.1%
gtp-22-02982 1
 
0.1%
gtp-22-02984 1
 
0.1%
gtp-22-02981 1
 
0.1%
gtp-22-02986 1
 
0.1%
gtp-22-02985 1
 
0.1%
gtp-22-02980 1
 
0.1%
gtp-22-02988 1
 
0.1%
Other values (1816) 1816
99.4%
2023-12-12T16:11:53.741981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3654
16.7%
2 3491
15.9%
0 2672
12.2%
G 1827
8.3%
T 1827
8.3%
P 1827
8.3%
3 1590
7.3%
1 1573
7.2%
9 642
 
2.9%
8 612
 
2.8%
Other values (4) 2209
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12789
58.3%
Uppercase Letter 5481
25.0%
Dash Punctuation 3654
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3491
27.3%
0 2672
20.9%
3 1590
12.4%
1 1573
12.3%
9 642
 
5.0%
8 612
 
4.8%
5 587
 
4.6%
4 574
 
4.5%
6 532
 
4.2%
7 516
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
G 1827
33.3%
T 1827
33.3%
P 1827
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 3654
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16443
75.0%
Latin 5481
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3654
22.2%
2 3491
21.2%
0 2672
16.3%
3 1590
9.7%
1 1573
9.6%
9 642
 
3.9%
8 612
 
3.7%
5 587
 
3.6%
4 574
 
3.5%
6 532
 
3.2%
Latin
ValueCountFrequency (%)
G 1827
33.3%
T 1827
33.3%
P 1827
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3654
16.7%
2 3491
15.9%
0 2672
12.2%
G 1827
8.3%
T 1827
8.3%
P 1827
8.3%
3 1590
7.3%
1 1573
7.2%
9 642
 
2.9%
8 612
 
2.8%
Other values (4) 2209
10.1%

제품명
Text

Distinct718
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-12T16:11:54.104053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length39
Mean length12.73618
Min length1

Characters and Unicode

Total characters23269
Distinct characters523
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique516 ?
Unique (%)28.2%

Sample

1st row인조잔디
2nd row절전 컴퓨터
3rd row절전 컴퓨터
4th row고정밀 교통정보 측정 레이더
5th row고정밀 교통정보 측정 레이더
ValueCountFrequency (%)
컴퓨터 445
 
8.4%
절전형 277
 
5.3%
led 157
 
3.0%
및 111
 
2.1%
전력저감 105
 
2.0%
이용한 71
 
1.3%
소비전력 66
 
1.3%
모니터 58
 
1.1%
절전형컴퓨터 56
 
1.1%
저감형 47
 
0.9%
Other values (1369) 3882
73.6%
2023-12-12T16:11:54.645722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3569
 
15.3%
전 789
 
3.4%
터 703
 
3.0%
형 650
 
2.8%
컴 556
 
2.4%
퓨 554
 
2.4%
기 474
 
2.0%
절 463
 
2.0%
용 418
 
1.8%
E 292
 
1.3%
Other values (513) 14801
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17950
77.1%
Space Separator 3569
 
15.3%
Uppercase Letter 1185
 
5.1%
Lowercase Letter 139
 
0.6%
Close Punctuation 126
 
0.5%
Open Punctuation 126
 
0.5%
Other Punctuation 77
 
0.3%
Decimal Number 69
 
0.3%
Dash Punctuation 20
 
0.1%
Math Symbol 4
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 789
 
4.4%
터 703
 
3.9%
형 650
 
3.6%
컴 556
 
3.1%
퓨 554
 
3.1%
기 474
 
2.6%
절 463
 
2.6%
용 418
 
2.3%
감 284
 
1.6%
이 284
 
1.6%
Other values (448) 12775
71.2%
Uppercase Letter
ValueCountFrequency (%)
E 292
24.6%
D 278
23.5%
L 271
22.9%
P 82
 
6.9%
C 54
 
4.6%
B 32
 
2.7%
S 27
 
2.3%
V 21
 
1.8%
A 18
 
1.5%
I 16
 
1.4%
Other values (13) 94
 
7.9%
Lowercase Letter
ValueCountFrequency (%)
e 17
12.2%
a 16
11.5%
i 15
10.8%
n 15
10.8%
o 14
10.1%
r 13
9.4%
t 11
7.9%
g 9
6.5%
l 8
5.8%
m 5
 
3.6%
Other values (8) 16
11.5%
Decimal Number
ValueCountFrequency (%)
3 22
31.9%
2 15
21.7%
1 11
15.9%
0 10
14.5%
7 3
 
4.3%
5 3
 
4.3%
4 3
 
4.3%
6 1
 
1.4%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 45
58.4%
/ 13
 
16.9%
? 7
 
9.1%
. 5
 
6.5%
· 4
 
5.2%
% 2
 
2.6%
: 1
 
1.3%
Space Separator
ValueCountFrequency (%)
3569
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17950
77.1%
Common 3995
 
17.2%
Latin 1324
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 789
 
4.4%
터 703
 
3.9%
형 650
 
3.6%
컴 556
 
3.1%
퓨 554
 
3.1%
기 474
 
2.6%
절 463
 
2.6%
용 418
 
2.3%
감 284
 
1.6%
이 284
 
1.6%
Other values (448) 12775
71.2%
Latin
ValueCountFrequency (%)
E 292
22.1%
D 278
21.0%
L 271
20.5%
P 82
 
6.2%
C 54
 
4.1%
B 32
 
2.4%
S 27
 
2.0%
V 21
 
1.6%
A 18
 
1.4%
e 17
 
1.3%
Other values (31) 232
17.5%
Common
ValueCountFrequency (%)
3569
89.3%
) 126
 
3.2%
( 126
 
3.2%
, 45
 
1.1%
3 22
 
0.6%
- 20
 
0.5%
2 15
 
0.4%
/ 13
 
0.3%
1 11
 
0.3%
0 10
 
0.3%
Other values (14) 38
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17950
77.1%
ASCII 5314
 
22.8%
None 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3569
67.2%
E 292
 
5.5%
D 278
 
5.2%
L 271
 
5.1%
) 126
 
2.4%
( 126
 
2.4%
P 82
 
1.5%
C 54
 
1.0%
, 45
 
0.8%
B 32
 
0.6%
Other values (53) 439
 
8.3%
Hangul
ValueCountFrequency (%)
전 789
 
4.4%
터 703
 
3.9%
형 650
 
3.6%
컴 556
 
3.1%
퓨 554
 
3.1%
기 474
 
2.6%
절 463
 
2.6%
용 418
 
2.3%
감 284
 
1.6%
이 284
 
1.6%
Other values (448) 12775
71.2%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

기관명
Text

Distinct518
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-12T16:11:54.908515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.7728517
Min length2

Characters and Unicode

Total characters14201
Distinct characters342
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)16.5%

Sample

1st row주식회사유니스포텍
2nd row(주)스마트인디지털
3rd row(주)스마트인디지털
4th row주식회사 바이다
5th row주식회사 바이다
ValueCountFrequency (%)
주식회사 223
 
10.7%
주)대우루컴즈 105
 
5.0%
주)에이텍 54
 
2.6%
주)컴트리 51
 
2.4%
주)다컴시스템 50
 
2.4%
주)티원엘에스 45
 
2.2%
주)트리엠 44
 
2.1%
에이펙스인텍(주 41
 
2.0%
이앤에이치(주 35
 
1.7%
주)레드스톤시스템 33
 
1.6%
Other values (523) 1408
67.4%
2023-12-12T16:11:55.345453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1729
 
12.2%
) 1398
 
9.8%
( 1396
 
9.8%
이 466
 
3.3%
스 455
 
3.2%
사 349
 
2.5%
컴 349
 
2.5%
에 339
 
2.4%
회 316
 
2.2%
식 295
 
2.1%
Other values (332) 7109
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11118
78.3%
Close Punctuation 1398
 
9.8%
Open Punctuation 1396
 
9.8%
Space Separator 270
 
1.9%
Uppercase Letter 8
 
0.1%
Other Punctuation 4
 
< 0.1%
Other Symbol 3
 
< 0.1%
Decimal Number 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1729
 
15.6%
이 466
 
4.2%
스 455
 
4.1%
사 349
 
3.1%
컴 349
 
3.1%
에 339
 
3.0%
회 316
 
2.8%
식 295
 
2.7%
리 210
 
1.9%
텍 198
 
1.8%
Other values (318) 6412
57.7%
Uppercase Letter
ValueCountFrequency (%)
P 4
50.0%
S 2
25.0%
T 1
 
12.5%
B 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
8 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 1398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1396
100.0%
Space Separator
ValueCountFrequency (%)
270
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11121
78.3%
Common 3072
 
21.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1729
 
15.5%
이 466
 
4.2%
스 455
 
4.1%
사 349
 
3.1%
컴 349
 
3.1%
에 339
 
3.0%
회 316
 
2.8%
식 295
 
2.7%
리 210
 
1.9%
텍 198
 
1.8%
Other values (319) 6415
57.7%
Common
ValueCountFrequency (%)
) 1398
45.5%
( 1396
45.4%
270
 
8.8%
& 3
 
0.1%
1 1
 
< 0.1%
5 1
 
< 0.1%
. 1
 
< 0.1%
8 1
 
< 0.1%
- 1
 
< 0.1%
Latin
ValueCountFrequency (%)
P 4
50.0%
S 2
25.0%
T 1
 
12.5%
B 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11118
78.3%
ASCII 3080
 
21.7%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1729
 
15.6%
이 466
 
4.2%
스 455
 
4.1%
사 349
 
3.1%
컴 349
 
3.1%
에 339
 
3.0%
회 316
 
2.8%
식 295
 
2.7%
리 210
 
1.9%
텍 198
 
1.8%
Other values (318) 6412
57.7%
ASCII
ValueCountFrequency (%)
) 1398
45.4%
( 1396
45.3%
270
 
8.8%
P 4
 
0.1%
& 3
 
0.1%
S 2
 
0.1%
1 1
 
< 0.1%
5 1
 
< 0.1%
. 1
 
< 0.1%
8 1
 
< 0.1%
Other values (3) 3
 
0.1%
None
ValueCountFrequency (%)
㈜ 3
100.0%

발급부처
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
중소벤처기업부
999 
환경부
600 
농림축산식품부
 
96
과학기술정보통신부
 
60
산업통상자원부
 
38
Other values (2)
 
34

Length

Max length9
Median length7
Mean length5.7148331
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중소벤처기업부
2nd row중소벤처기업부
3rd row중소벤처기업부
4th row국토교통부
5th row국토교통부

Common Values

ValueCountFrequency (%)
중소벤처기업부 999
54.7%
환경부 600
32.8%
농림축산식품부 96
 
5.3%
과학기술정보통신부 60
 
3.3%
산업통상자원부 38
 
2.1%
국토교통부 24
 
1.3%
해양수산부 10
 
0.5%

Length

2023-12-12T16:11:55.531165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:11:55.659432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소벤처기업부 999
54.7%
환경부 600
32.8%
농림축산식품부 96
 
5.3%
과학기술정보통신부 60
 
3.3%
산업통상자원부 38
 
2.1%
국토교통부 24
 
1.3%
해양수산부 10
 
0.5%

확인일자
Date

Distinct63
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
Minimum2017-08-24 00:00:00
Maximum2023-06-15 00:00:00
2023-12-12T16:11:55.812654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:11:55.981956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확인만료일
Date

Distinct63
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
Minimum2023-08-23 00:00:00
Maximum2026-09-02 00:00:00
2023-12-12T16:11:56.183294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:11:56.361397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T16:11:52.301854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:11:56.471706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발급부처확인일자확인만료일
순번1.0000.3050.8460.994
발급부처0.3051.0000.5570.718
확인일자0.8460.5571.0000.981
확인만료일0.9940.7180.9811.000
2023-12-12T16:11:56.622121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발급부처
순번1.0000.159
발급부처0.1591.000

Missing values

2023-12-12T16:11:52.473582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:11:52.627397image/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

순번확인번호제품명기관명발급부처확인일자확인만료일
01GTP-20-01906인조잔디주식회사유니스포텍중소벤처기업부2020-09-032026-09-02
12GTP-22-03234절전 컴퓨터(주)스마트인디지털중소벤처기업부2022-10-202026-07-15
23GTP-22-03227절전 컴퓨터(주)스마트인디지털중소벤처기업부2022-10-202026-07-15
34GTP-20-01851고정밀 교통정보 측정 레이더주식회사 바이다국토교통부2020-07-162026-07-15
45GTP-20-01852고정밀 교통정보 측정 레이더주식회사 바이다국토교통부2020-07-162026-07-15
56GTP-20-01864순간전압강하 보상 배전반(주)금강콘트롤중소벤처기업부2020-07-162026-07-15
67GTP-21-02554바이오소재를 이용한 위생백,롤백주식회사 더자연농림축산식품부2021-09-022026-07-15
78GTP-21-02552바이오소재를 이용한 위생장갑주식회사 더자연농림축산식품부2021-09-022026-07-15
89GTP-21-02553바이오소재를 이용한 지퍼백주식회사 더자연농림축산식품부2021-09-022026-07-15
910GTP-21-02555바이오소재를 이용한 포장용기(Food Container)주식회사 더자연농림축산식품부2021-09-022026-07-15
순번확인번호제품명기관명발급부처확인일자확인만료일
18171818GTP-21-02353실외용 LED 조명등기구(주)이텍중소벤처기업부2021-04-152023-08-23
18181819GTP-21-02388합성수지제 창호(주)대신시스템환경부2021-05-202023-08-23
18191820GTP-21-02389합성수지제 창호(주)대신시스템환경부2021-05-202023-08-23
18201821GTP-21-02390합성수지제 창호(주)대신시스템환경부2021-05-202023-08-23
18211822GTP-21-02574절전 모니터(주)티원엘에스중소벤처기업부2021-09-022023-08-23
18221823GTP-22-02928실외용 LED 조명등기구(주)이텍중소벤처기업부2022-04-142023-08-23
18231824GTP-22-02929실외용 LED 조명등기구(주)이텍중소벤처기업부2022-04-142023-08-23
18241825GTP-22-03023절전 모니터(주)티원엘에스중소벤처기업부2022-06-232023-08-23
18251826GTP-22-03024절전 모니터(주)티원엘에스중소벤처기업부2022-06-232023-08-23
18261827GTP-22-03025절전 모니터(주)티원엘에스중소벤처기업부2022-06-232023-08-23