Overview

Dataset statistics

Number of variables6
Number of observations4668
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory223.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Categorical2
Text2
DateTime1

Dataset

Description국가산업을 선도하는 기계기술 전문연구기관인 한국기계연구원이 보유한 지식재산권 정보(순번, 구분, 국가, 발명의명칭, 등록번호, 등록일)
URLhttps://www.data.go.kr/data/15050390/fileData.do

Alerts

순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
국가 is highly imbalanced (84.4%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:42:00.079841
Analysis finished2023-12-12 07:42:01.026984
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct4668
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2334.5
Minimum1
Maximum4668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.2 KiB
2023-12-12T16:42:01.179697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile234.35
Q11167.75
median2334.5
Q33501.25
95-th percentile4434.65
Maximum4668
Range4667
Interquartile range (IQR)2333.5

Descriptive statistics

Standard deviation1347.6799
Coefficient of variation (CV)0.57728844
Kurtosis-1.2
Mean2334.5
Median Absolute Deviation (MAD)1167
Skewness0
Sum10897446
Variance1816241
MonotonicityStrictly increasing
2023-12-12T16:42:01.336570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3138 1
 
< 0.1%
3118 1
 
< 0.1%
3117 1
 
< 0.1%
3116 1
 
< 0.1%
3115 1
 
< 0.1%
3114 1
 
< 0.1%
3113 1
 
< 0.1%
3112 1
 
< 0.1%
3111 1
 
< 0.1%
Other values (4658) 4658
99.8%
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 (%)
4668 1
< 0.1%
4667 1
< 0.1%
4666 1
< 0.1%
4665 1
< 0.1%
4664 1
< 0.1%
4663 1
< 0.1%
4662 1
< 0.1%
4661 1
< 0.1%
4660 1
< 0.1%
4659 1
< 0.1%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
국내특허
2764 
프로그램
1469 
해외특허
422 
디자인
 
8
상표
 
5

Length

Max length4
Median length4
Mean length3.996144
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내특허
2nd row국내특허
3rd row국내특허
4th row국내특허
5th row국내특허

Common Values

ValueCountFrequency (%)
국내특허 2764
59.2%
프로그램 1469
31.5%
해외특허 422
 
9.0%
디자인 8
 
0.2%
상표 5
 
0.1%

Length

2023-12-12T16:42:01.505245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:42:01.620320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내특허 2764
59.2%
프로그램 1469
31.5%
해외특허 422
 
9.0%
디자인 8
 
0.2%
상표 5
 
0.1%

국가
Categorical

IMBALANCE 

Distinct25
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
대한민국
4246 
미국
 
141
중국
 
51
독일
 
51
일본
 
48
Other values (20)
 
131

Length

Max length6
Median length4
Mean length3.8455441
Min length2

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st row대한민국
2nd row대한민국
3rd row대한민국
4th row대한민국
5th row대한민국

Common Values

ValueCountFrequency (%)
대한민국 4246
91.0%
미국 141
 
3.0%
중국 51
 
1.1%
독일 51
 
1.1%
일본 48
 
1.0%
영국 36
 
0.8%
프랑스 34
 
0.7%
이탈리아 11
 
0.2%
스위스 8
 
0.2%
스페인 6
 
0.1%
Other values (15) 36
 
0.8%

Length

2023-12-12T16:42:02.206988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 4246
90.9%
미국 141
 
3.0%
중국 51
 
1.1%
독일 51
 
1.1%
일본 48
 
1.0%
영국 36
 
0.8%
프랑스 34
 
0.7%
이탈리아 11
 
0.2%
스위스 8
 
0.2%
스페인 6
 
0.1%
Other values (16) 37
 
0.8%

발명의 명칭
Text

Distinct4227
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
2023-12-12T16:42:02.595284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length84
Mean length31.789632
Min length3

Characters and Unicode

Total characters148394
Distinct characters786
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

Unique3988 ?
Unique (%)85.4%

Sample

1st row폐윤활유 정화장치 및 그 방법
2nd row폐윤활유 속에 포함된 수분의 제거장치 및 그 방법
3rd row폐윤활유 속에 포함된 입자상 오염물 제거 장치 및 그 방법
4th row공압 서보밸브
5th row솔레노이드 밸브
ValueCountFrequency (%)
및 1591
 
5.6%
이용한 849
 
3.0%
프로그램 720
 
2.6%
장치 701
 
2.5%
방법 693
 
2.5%
이를 535
 
1.9%
시스템 402
 
1.4%
제조방법 261
 
0.9%
플라즈마 230
 
0.8%
그 185
 
0.7%
Other values (7332) 22029
78.1%
2023-12-12T16:42:03.209104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56817
38.3%
이 2966
 
2.0%
장 1856
 
1.3%
용 1833
 
1.2%
기 1768
 
1.2%
치 1732
 
1.2%
방 1654
 
1.1%
및 1600
 
1.1%
스 1487
 
1.0%
법 1391
 
0.9%
Other values (776) 75290
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79423
53.5%
Space Separator 56817
38.3%
Lowercase Letter 5642
 
3.8%
Uppercase Letter 3940
 
2.7%
Decimal Number 1013
 
0.7%
Other Punctuation 795
 
0.5%
Dash Punctuation 272
 
0.2%
Open Punctuation 217
 
0.1%
Close Punctuation 215
 
0.1%
Connector Punctuation 56
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2966
 
3.7%
장 1856
 
2.3%
용 1833
 
2.3%
기 1768
 
2.2%
치 1732
 
2.2%
방 1654
 
2.1%
및 1600
 
2.0%
스 1487
 
1.9%
법 1391
 
1.8%
한 1350
 
1.7%
Other values (672) 61786
77.8%
Uppercase Letter
ValueCountFrequency (%)
S 410
 
10.4%
M 287
 
7.3%
P 268
 
6.8%
V 263
 
6.7%
D 254
 
6.4%
A 245
 
6.2%
C 245
 
6.2%
R 201
 
5.1%
E 193
 
4.9%
T 172
 
4.4%
Other values (34) 1402
35.6%
Lowercase Letter
ValueCountFrequency (%)
e 781
13.8%
r 697
12.4%
o 468
 
8.3%
i 449
 
8.0%
n 436
 
7.7%
a 431
 
7.6%
t 384
 
6.8%
s 283
 
5.0%
l 263
 
4.7%
m 172
 
3.0%
Other values (23) 1278
22.7%
Decimal Number
ValueCountFrequency (%)
1 327
32.3%
0 304
30.0%
2 165
16.3%
3 123
 
12.1%
5 30
 
3.0%
4 27
 
2.7%
6 21
 
2.1%
7 9
 
0.9%
8 4
 
0.4%
9 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 404
50.8%
, 226
28.4%
/ 131
 
16.5%
& 13
 
1.6%
· 10
 
1.3%
: 9
 
1.1%
; 1
 
0.1%
@ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 216
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 214
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
56817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 272
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 56
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79423
53.5%
Common 59389
40.0%
Latin 9582
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2966
 
3.7%
장 1856
 
2.3%
용 1833
 
2.3%
기 1768
 
2.2%
치 1732
 
2.2%
방 1654
 
2.1%
및 1600
 
2.0%
스 1487
 
1.9%
법 1391
 
1.8%
한 1350
 
1.7%
Other values (672) 61786
77.8%
Latin
ValueCountFrequency (%)
e 781
 
8.2%
r 697
 
7.3%
o 468
 
4.9%
i 449
 
4.7%
n 436
 
4.6%
a 431
 
4.5%
S 410
 
4.3%
t 384
 
4.0%
M 287
 
3.0%
s 283
 
3.0%
Other values (67) 4956
51.7%
Common
ValueCountFrequency (%)
56817
95.7%
. 404
 
0.7%
1 327
 
0.6%
0 304
 
0.5%
- 272
 
0.5%
, 226
 
0.4%
( 216
 
0.4%
) 214
 
0.4%
2 165
 
0.3%
/ 131
 
0.2%
Other values (17) 313
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79422
53.5%
ASCII 68857
46.4%
None 114
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56817
82.5%
e 781
 
1.1%
r 697
 
1.0%
o 468
 
0.7%
i 449
 
0.7%
n 436
 
0.6%
a 431
 
0.6%
S 410
 
0.6%
. 404
 
0.6%
t 384
 
0.6%
Other values (67) 7580
 
11.0%
Hangul
ValueCountFrequency (%)
이 2966
 
3.7%
장 1856
 
2.3%
용 1833
 
2.3%
기 1768
 
2.2%
치 1732
 
2.2%
방 1654
 
2.1%
및 1600
 
2.0%
스 1487
 
1.9%
법 1391
 
1.8%
한 1350
 
1.7%
Other values (671) 61785
77.8%
None
ValueCountFrequency (%)
Ｍ 14
12.3%
Ｅ 10
 
8.8%
· 10
 
8.8%
Ｄ 9
 
7.9%
Ｓ 8
 
7.0%
Ｒ 7
 
6.1%
Ｉ 7
 
6.1%
Ｃ 6
 
5.3%
Ｐ 5
 
4.4%
Ｆ 5
 
4.4%
Other values (17) 33
28.9%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

등록번호
Text

Distinct4557
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
2023-12-12T16:42:03.499112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length9.3768209
Min length6

Characters and Unicode

Total characters43771
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4509 ?
Unique (%)96.6%

Sample

1st row407159
2nd row407161
3rd row417769
4th row430052
5th row431616
ValueCountFrequency (%)
2714325 5
 
0.1%
2155620 5
 
0.1%
1.02e+11 5
 
0.1%
1917447 5
 
0.1%
1960639 5
 
0.1%
2233196 5
 
0.1%
2153429 5
 
0.1%
3020683 4
 
0.1%
2020487 4
 
0.1%
2400123 4
 
0.1%
Other values (4547) 4621
99.0%
2023-12-12T16:42:03.970376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7507
17.2%
0 6761
15.4%
2 5605
12.8%
- 3771
8.6%
3 3041
6.9%
9 2988
 
6.8%
8 2916
 
6.7%
4 2671
 
6.1%
5 2670
 
6.1%
7 2552
 
5.8%
Other values (15) 3289
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39153
89.4%
Dash Punctuation 3771
 
8.6%
Uppercase Letter 769
 
1.8%
Other Punctuation 64
 
0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 638
83.0%
Z 49
 
6.4%
L 49
 
6.4%
E 14
 
1.8%
X 7
 
0.9%
I 6
 
0.8%
P 2
 
0.3%
R 1
 
0.1%
H 1
 
0.1%
K 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 7507
19.2%
0 6761
17.3%
2 5605
14.3%
3 3041
7.8%
9 2988
 
7.6%
8 2916
 
7.4%
4 2671
 
6.8%
5 2670
 
6.8%
7 2552
 
6.5%
6 2442
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 63
98.4%
/ 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 3771
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43002
98.2%
Latin 769
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7507
17.5%
0 6761
15.7%
2 5605
13.0%
- 3771
8.8%
3 3041
7.1%
9 2988
 
6.9%
8 2916
 
6.8%
4 2671
 
6.2%
5 2670
 
6.2%
7 2552
 
5.9%
Other values (4) 2520
 
5.9%
Latin
ValueCountFrequency (%)
C 638
83.0%
Z 49
 
6.4%
L 49
 
6.4%
E 14
 
1.8%
X 7
 
0.9%
I 6
 
0.8%
P 2
 
0.3%
R 1
 
0.1%
H 1
 
0.1%
K 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7507
17.2%
0 6761
15.4%
2 5605
12.8%
- 3771
8.6%
3 3041
6.9%
9 2988
 
6.8%
8 2916
 
6.7%
4 2671
 
6.1%
5 2670
 
6.1%
7 2552
 
5.8%
Other values (15) 3289
7.5%

등록일
Date

Distinct1931
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
Minimum1989-03-23 00:00:00
Maximum2023-07-18 00:00:00
2023-12-12T16:42:04.155057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:42:04.313417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T16:42:00.699873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:42:04.421129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분국가
순번1.0000.9350.632
구분0.9351.0000.809
국가0.6320.8091.000
2023-12-12T16:42:04.541315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국가구분
국가1.0000.495
구분0.4951.000
2023-12-12T16:42:04.638173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분국가
순번1.0000.6580.278
구분0.6581.0000.495
국가0.2780.4951.000

Missing values

2023-12-12T16:42:00.854574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:42:00.980678image/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

순번구분국가발명의 명칭등록번호등록일
01국내특허대한민국폐윤활유 정화장치 및 그 방법4071592003-11-13
12국내특허대한민국폐윤활유 속에 포함된 수분의 제거장치 및 그 방법4071612003-11-13
23국내특허대한민국폐윤활유 속에 포함된 입자상 오염물 제거 장치 및 그 방법4177692004-01-27
34국내특허대한민국공압 서보밸브4300522004-04-21
45국내특허대한민국솔레노이드 밸브4316162004-05-04
56국내특허대한민국사판식 액셜 피스톤 장치4333922004-05-18
67국내특허대한민국다층 평판 전극을 구비한 유전체 장벽 방전방식 평판형 저온 플라즈마 반응기의 제조방법4544442004-10-18
78국내특허대한민국고무시편 및 그 체결용 지그4576972004-11-09
89국내특허대한민국나선진동교반식 열전도 건조기의 배기장치4674862005-01-12
910국내특허대한민국저온 플라즈마 발생장치의 세라믹 전극봉의 제조방법 및 이를 이용한 저 압력손실 및 저 에너지 밀도를 위한 저온플라즈마 발생장치4711072005-02-01
순번구분국가발명의 명칭등록번호등록일
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