Overview

Dataset statistics

Number of variables8
Number of observations529
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.7 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Text3
DateTime3
Categorical1

Dataset

Description한국서부발전의 산업재산권 보유목록입니다. 제공데이터는 번호,발명명칭,출원일자,출원번호,등록일자,등록번호,만료일자,소유구분입니다.
URLhttps://www.data.go.kr/data/15083341/fileData.do

Alerts

번호 has unique valuesUnique
출원번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:48:41.198412
Analysis finished2023-12-12 04:48:41.976882
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct529
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265
Minimum1
Maximum529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T13:48:42.073263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.4
Q1133
median265
Q3397
95-th percentile502.6
Maximum529
Range528
Interquartile range (IQR)264

Descriptive statistics

Standard deviation152.85342
Coefficient of variation (CV)0.57680534
Kurtosis-1.2
Mean265
Median Absolute Deviation (MAD)132
Skewness0
Sum140185
Variance23364.167
MonotonicityStrictly increasing
2023-12-12T13:48:42.285683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
349 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
359 1
 
0.2%
358 1
 
0.2%
357 1
 
0.2%
356 1
 
0.2%
Other values (519) 519
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%
525 1
0.2%
524 1
0.2%
523 1
0.2%
522 1
0.2%
521 1
0.2%
520 1
0.2%

발명명칭
Text

Distinct517
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T13:48:42.661311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length46
Mean length23.338374
Min length3

Characters and Unicode

Total characters12346
Distinct characters487
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

Unique507 ?
Unique (%)95.8%

Sample

1st row마찰 스프링형 진동저감 시스템
2nd row복합화력용 온라인 실시간 운전성능 감시 및 진단 시스템
3rd row발전기 회전자의 층간단락 진단용 센서구조
4th row가스터빈의 가스버너 팁 코팅방법
5th row발전소용 가스터빈의 공기분무 배관구조
ValueCountFrequency (%)
및 189
 
5.8%
방법 109
 
3.4%
장치 106
 
3.3%
시스템 87
 
2.7%
이용한 62
 
1.9%
그 41
 
1.3%
이를 32
 
1.0%
위한 31
 
1.0%
제어 30
 
0.9%
발전 25
 
0.8%
Other values (1505) 2520
78.0%
2023-12-12T13:48:43.346079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2735
 
22.2%
스 268
 
2.2%
장 267
 
2.2%
치 255
 
2.1%
이 243
 
2.0%
방 226
 
1.8%
용 222
 
1.8%
전 212
 
1.7%
기 207
 
1.7%
의 202
 
1.6%
Other values (477) 7509
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9487
76.8%
Space Separator 2735
 
22.2%
Uppercase Letter 58
 
0.5%
Decimal Number 22
 
0.2%
Other Punctuation 19
 
0.2%
Lowercase Letter 13
 
0.1%
Dash Punctuation 10
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 268
 
2.8%
장 267
 
2.8%
치 255
 
2.7%
이 243
 
2.6%
방 226
 
2.4%
용 222
 
2.3%
전 212
 
2.2%
기 207
 
2.2%
의 202
 
2.1%
및 189
 
2.0%
Other values (431) 7196
75.9%
Uppercase Letter
ValueCountFrequency (%)
Ｓ 9
15.5%
Ｃ 5
 
8.6%
S 5
 
8.6%
C 4
 
6.9%
T 3
 
5.2%
I 3
 
5.2%
Ｙ 3
 
5.2%
Ｅ 3
 
5.2%
D 2
 
3.4%
E 2
 
3.4%
Other values (16) 19
32.8%
Lowercase Letter
ValueCountFrequency (%)
ｏ 3
23.1%
u 2
15.4%
o 2
15.4%
l 1
 
7.7%
e 1
 
7.7%
c 1
 
7.7%
a 1
 
7.7%
n 1
 
7.7%
r 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 8
36.4%
3 8
36.4%
5 4
18.2%
2 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 17
89.5%
. 1
 
5.3%
/ 1
 
5.3%
Space Separator
ValueCountFrequency (%)
2735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9487
76.8%
Common 2788
 
22.6%
Latin 71
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 268
 
2.8%
장 267
 
2.8%
치 255
 
2.7%
이 243
 
2.6%
방 226
 
2.4%
용 222
 
2.3%
전 212
 
2.2%
기 207
 
2.2%
의 202
 
2.1%
및 189
 
2.0%
Other values (431) 7196
75.9%
Latin
ValueCountFrequency (%)
Ｓ 9
 
12.7%
Ｃ 5
 
7.0%
S 5
 
7.0%
C 4
 
5.6%
T 3
 
4.2%
I 3
 
4.2%
Ｙ 3
 
4.2%
ｏ 3
 
4.2%
Ｅ 3
 
4.2%
D 2
 
2.8%
Other values (25) 31
43.7%
Common
ValueCountFrequency (%)
2735
98.1%
, 17
 
0.6%
- 10
 
0.4%
0 8
 
0.3%
3 8
 
0.3%
5 4
 
0.1%
2 2
 
0.1%
. 1
 
< 0.1%
/ 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9487
76.8%
ASCII 2828
 
22.9%
None 31
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2735
96.7%
, 17
 
0.6%
- 10
 
0.4%
0 8
 
0.3%
3 8
 
0.3%
S 5
 
0.2%
C 4
 
0.1%
5 4
 
0.1%
T 3
 
0.1%
I 3
 
0.1%
Other values (24) 31
 
1.1%
Hangul
ValueCountFrequency (%)
스 268
 
2.8%
장 267
 
2.8%
치 255
 
2.7%
이 243
 
2.6%
방 226
 
2.4%
용 222
 
2.3%
전 212
 
2.2%
기 207
 
2.2%
의 202
 
2.1%
및 189
 
2.0%
Other values (431) 7196
75.9%
None
ValueCountFrequency (%)
Ｓ 9
29.0%
Ｃ 5
16.1%
Ｙ 3
 
9.7%
ｏ 3
 
9.7%
Ｅ 3
 
9.7%
Ｐ 2
 
6.5%
Ａ 1
 
3.2%
Ｉ 1
 
3.2%
Ｇ 1
 
3.2%
Ｆ 1
 
3.2%
Other values (2) 2
 
6.5%

출원일자
Date

Distinct389
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2002-10-28 00:00:00
Maximum2022-08-22 00:00:00
2023-12-12T13:48:43.536872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:48:43.711729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출원번호
Text

UNIQUE 

Distinct529
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T13:48:43.991215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length15.020794
Min length15

Characters and Unicode

Total characters7946
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique529 ?
Unique (%)100.0%

Sample

1st row10-2002-0065932
2nd row10-2002-0067000
3rd row10-2003-0012798
4th row10-2003-0081524
5th row10-2004-0041671
ValueCountFrequency (%)
10-2002-0065932 1
 
0.2%
10-2019-0143524 1
 
0.2%
10-2018-0073195 1
 
0.2%
10-2020-0058783 1
 
0.2%
10-2017-0128026 1
 
0.2%
10-2020-0039479 1
 
0.2%
10-2018-0132379 1
 
0.2%
10-2019-0117495 1
 
0.2%
10-2013-0027506 1
 
0.2%
10-2019-0118917 1
 
0.2%
Other values (519) 519
98.1%
2023-12-12T13:48:44.462478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2334
29.4%
1 1428
18.0%
- 1058
13.3%
2 927
 
11.7%
6 332
 
4.2%
7 318
 
4.0%
4 310
 
3.9%
5 307
 
3.9%
9 307
 
3.9%
3 307
 
3.9%
Other values (2) 318
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6877
86.5%
Dash Punctuation 1058
 
13.3%
Space Separator 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2334
33.9%
1 1428
20.8%
2 927
 
13.5%
6 332
 
4.8%
7 318
 
4.6%
4 310
 
4.5%
5 307
 
4.5%
9 307
 
4.5%
3 307
 
4.5%
8 307
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 1058
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2334
29.4%
1 1428
18.0%
- 1058
13.3%
2 927
 
11.7%
6 332
 
4.2%
7 318
 
4.0%
4 310
 
3.9%
5 307
 
3.9%
9 307
 
3.9%
3 307
 
3.9%
Other values (2) 318
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2334
29.4%
1 1428
18.0%
- 1058
13.3%
2 927
 
11.7%
6 332
 
4.2%
7 318
 
4.0%
4 310
 
3.9%
5 307
 
3.9%
9 307
 
3.9%
3 307
 
3.9%
Other values (2) 318
 
4.0%

등록일자
Date

Distinct437
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2005-01-18 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T13:48:44.993527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:48:45.182441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

UNIQUE 

Distinct529
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T13:48:45.457705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters8464
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique529 ?
Unique (%)100.0%

Sample

1st row10-0472291-00-00
2nd row10-0468402-00-00
3rd row10-0485379-00-00
4th row10-0536821-00-00
5th row10-0584792-00-00
ValueCountFrequency (%)
10-0472291-00-00 1
 
0.2%
10-2098210-00-00 1
 
0.2%
10-2147334-00-00 1
 
0.2%
10-2146466-00-00 1
 
0.2%
10-2144152-00-00 1
 
0.2%
10-2135650-00-00 1
 
0.2%
10-2135382-00-00 1
 
0.2%
10-2134104-00-00 1
 
0.2%
10-2131615-00-00 1
 
0.2%
10-2131565-00-00 1
 
0.2%
Other values (519) 519
98.1%
2023-12-12T13:48:45.914900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3037
35.9%
- 1587
18.8%
1 1145
 
13.5%
2 497
 
5.9%
8 359
 
4.2%
4 332
 
3.9%
5 314
 
3.7%
3 303
 
3.6%
9 302
 
3.6%
6 295
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6877
81.2%
Dash Punctuation 1587
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3037
44.2%
1 1145
 
16.6%
2 497
 
7.2%
8 359
 
5.2%
4 332
 
4.8%
5 314
 
4.6%
3 303
 
4.4%
9 302
 
4.4%
6 295
 
4.3%
7 293
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1587
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8464
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3037
35.9%
- 1587
18.8%
1 1145
 
13.5%
2 497
 
5.9%
8 359
 
4.2%
4 332
 
3.9%
5 314
 
3.7%
3 303
 
3.6%
9 302
 
3.6%
6 295
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3037
35.9%
- 1587
18.8%
1 1145
 
13.5%
2 497
 
5.9%
8 359
 
4.2%
4 332
 
3.9%
5 314
 
3.7%
3 303
 
3.6%
9 302
 
3.6%
6 295
 
3.5%

만료일자
Date

Distinct390
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2022-10-28 00:00:00
Maximum2042-08-22 00:00:00
2023-12-12T13:48:46.125719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:48:46.340905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소유구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
공동
409 
단독
120 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공동
2nd row공동
3rd row단독
4th row단독
5th row단독

Common Values

ValueCountFrequency (%)
공동 409
77.3%
단독 120
 
22.7%

Length

2023-12-12T13:48:46.530867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:48:46.650529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동 409
77.3%
단독 120
 
22.7%

Interactions

2023-12-12T13:48:41.614799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:48:46.743622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소유구분
번호1.0000.481
소유구분0.4811.000
2023-12-12T13:48:46.882823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소유구분
번호1.0000.367
소유구분0.3671.000

Missing values

2023-12-12T13:48:41.774524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:48:41.920467image/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

번호발명명칭출원일자출원번호등록일자등록번호만료일자소유구분
01마찰 스프링형 진동저감 시스템2002-10-2810-2002-00659322005-02-0410-0472291-00-002022-10-28공동
12복합화력용 온라인 실시간 운전성능 감시 및 진단 시스템2002-10-3110-2002-00670002005-01-1810-0468402-00-002022-10-31공동
23발전기 회전자의 층간단락 진단용 센서구조2003-02-2810-2003-00127982005-04-1610-0485379-00-002023-02-28단독
34가스터빈의 가스버너 팁 코팅방법2003-11-1810-2003-00815242005-12-0810-0536821-00-002023-11-18단독
45발전소용 가스터빈의 공기분무 배관구조2004-06-0810-2004-00416712006-05-2310-0584792-00-002024-06-08단독
56석탄화력 보일러 운전중 송풍기 팬 조절 구동장치 고장의 정비방법2004-07-0310-2004-00518102006-03-0310-0559146-00-002024-07-03단독
67터널내 측벽부 천공장비 작업대2004-07-0610-2004-00523692006-06-1610-0592929-00-002024-07-06단독
78보일러의 송풍기 구동장치의 고장을 진단하여 전원을 차단하기 위한 시스템2004-07-0710-2004-00526262006-03-0310-0559147-00-002024-07-07단독
89슬러리 재순환 배관의 오리피스 개폐장치2004-07-1210-2004-00540442006-05-2610-0586407-00-002024-07-12단독
910물질이동탑내 방사형 분사관의 설계방법2004-07-1210-2004-00541042006-04-0710-0571106-00-002024-07-12단독
번호발명명칭출원일자출원번호등록일자등록번호만료일자소유구분
519520에너지 불균형 분석에 의한 발전소 음성안내시스템2022-01-2610-2022-00113912023-03-2210-2515058-00-002042-01-26공동
520521발전 설비 관리 장치 및 방법2020-09-2410-2020-01237412023-03-2810-2516623-00-002040-09-24단독
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