Overview

Dataset statistics

Number of variables9
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory81.0 B

Variable types

Numeric3
Text2
DateTime3
Categorical1

Dataset

Description보은군에서 소유하고 있는 지식재산에 대한 데이터로 출원번호, 출원일자, 출원료, 등록번호, 권리존속기간 등을 제공하고 있습니다. 출원한 지식재산의 개수는 모두 22가지입니다.
URLhttps://www.data.go.kr/data/15054730/fileData.do

Alerts

특허권자 has constant value ""Constant
연번 is highly overall correlated with 출원료 and 1 other fieldsHigh correlation
출원료 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
등록번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
출원번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:48:18.231418
Analysis finished2023-12-12 06:48:19.637784
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T15:48:19.712342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T15:48:19.840256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

출원의 명칭
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T15:48:20.158834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length25
Mean length22.954545
Min length6

Characters and Unicode

Total characters505
Distinct characters123
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row무전원 자동 소독약 투입기
2nd row비상급수 알림장치
3rd row무전원 자동 소독약 투입기
4th row소독약투입기용 물분배장치
5th row소독약투입기용 수조 회동장치
ValueCountFrequency (%)
대추 7
 
5.5%
및 6
 
4.7%
조성물 4
 
3.1%
무전원 3
 
2.3%
중력식 3
 
2.3%
제조방법 3
 
2.3%
이용한 3
 
2.3%
발효 3
 
2.3%
이를 3
 
2.3%
추출물을 3
 
2.3%
Other values (78) 90
70.3%
2023-12-12T15:48:20.657514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
21.2%
추 20
 
4.0%
물 14
 
2.8%
대 13
 
2.6%
조 12
 
2.4%
제 10
 
2.0%
유 9
 
1.8%
의 9
 
1.8%
이 9
 
1.8%
성 8
 
1.6%
Other values (113) 294
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
77.2%
Space Separator 107
 
21.2%
Uppercase Letter 3
 
0.6%
Decimal Number 2
 
0.4%
Other Punctuation 2
 
0.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 20
 
5.1%
물 14
 
3.6%
대 13
 
3.3%
조 12
 
3.1%
제 10
 
2.6%
유 9
 
2.3%
의 9
 
2.3%
이 9
 
2.3%
성 8
 
2.1%
법 7
 
1.8%
Other values (105) 279
71.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Decimal Number
ValueCountFrequency (%)
7 1
50.0%
2 1
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
107
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
77.2%
Common 111
 
22.0%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 20
 
5.1%
물 14
 
3.6%
대 13
 
3.3%
조 12
 
3.1%
제 10
 
2.6%
유 9
 
2.3%
의 9
 
2.3%
이 9
 
2.3%
성 8
 
2.1%
법 7
 
1.8%
Other values (105) 279
71.5%
Common
ValueCountFrequency (%)
107
96.4%
7 1
 
0.9%
/ 1
 
0.9%
, 1
 
0.9%
2 1
 
0.9%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 1
25.0%
b 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
77.2%
ASCII 115
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
93.0%
B 2
 
1.7%
A 1
 
0.9%
b 1
 
0.9%
7 1
 
0.9%
/ 1
 
0.9%
, 1
 
0.9%
2 1
 
0.9%
Hangul
ValueCountFrequency (%)
추 20
 
5.1%
물 14
 
3.6%
대 13
 
3.3%
조 12
 
3.1%
제 10
 
2.6%
유 9
 
2.3%
의 9
 
2.3%
이 9
 
2.3%
성 8
 
2.1%
법 7
 
1.8%
Other values (105) 279
71.5%

출원번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T15:48:20.900957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.909091
Min length14

Characters and Unicode

Total characters328
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

Unique22 ?
Unique (%)100.0%

Sample

1st row10-2005-0046899
2nd row10-2005-0046900
3rd row10-2005-0076672
4th row10-2006-0010604
5th row10-2006-0025086
ValueCountFrequency (%)
10-2005-0046899 1
 
4.5%
10-2005-0046900 1
 
4.5%
10-2011-0101312 1
 
4.5%
10-2011-0095451 1
 
4.5%
10-2011-0093116 1
 
4.5%
10-2011-0092682 1
 
4.5%
10-2011-0090908 1
 
4.5%
10-2011-0077640 1
 
4.5%
10-2010-0102596 1
 
4.5%
10-2010-0098870 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T15:48:21.282777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 114
34.8%
1 58
17.7%
- 44
 
13.4%
2 32
 
9.8%
6 17
 
5.2%
9 13
 
4.0%
4 12
 
3.7%
7 11
 
3.4%
8 10
 
3.0%
3 9
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 284
86.6%
Dash Punctuation 44
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 114
40.1%
1 58
20.4%
2 32
 
11.3%
6 17
 
6.0%
9 13
 
4.6%
4 12
 
4.2%
7 11
 
3.9%
8 10
 
3.5%
3 9
 
3.2%
5 8
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 114
34.8%
1 58
17.7%
- 44
 
13.4%
2 32
 
9.8%
6 17
 
5.2%
9 13
 
4.0%
4 12
 
3.7%
7 11
 
3.4%
8 10
 
3.0%
3 9
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 114
34.8%
1 58
17.7%
- 44
 
13.4%
2 32
 
9.8%
6 17
 
5.2%
9 13
 
4.0%
4 12
 
3.7%
7 11
 
3.4%
8 10
 
3.0%
3 9
 
2.7%

출원일자
Date

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2005-06-01 00:00:00
Maximum2014-01-07 00:00:00
2023-12-12T15:48:21.435439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:21.590804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

출원료
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258136.36
Minimum104000
Maximum467000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T15:48:21.727501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104000
5-th percentile124000
Q1164000
median261500
Q3331000
95-th percentile463800
Maximum467000
Range363000
Interquartile range (IQR)167000

Descriptive statistics

Standard deviation111227.91
Coefficient of variation (CV)0.43088817
Kurtosis-0.83430566
Mean258136.36
Median Absolute Deviation (MAD)97500
Skewness0.41479227
Sum5679000
Variance1.2371647 × 1010
MonotonicityNot monotonic
2023-12-12T15:48:21.862005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
467000 2
9.1%
371000 2
9.1%
275000 2
9.1%
288000 2
9.1%
144000 2
9.1%
184000 2
9.1%
164000 2
9.1%
124000 2
9.1%
307000 1
 
4.5%
403000 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
104000 1
4.5%
124000 2
9.1%
144000 2
9.1%
164000 2
9.1%
184000 2
9.1%
244000 1
4.5%
248000 1
4.5%
275000 2
9.1%
288000 2
9.1%
307000 1
4.5%
ValueCountFrequency (%)
467000 2
9.1%
403000 1
4.5%
371000 2
9.1%
339000 1
4.5%
307000 1
4.5%
288000 2
9.1%
275000 2
9.1%
248000 1
4.5%
244000 1
4.5%
184000 2
9.1%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1038356.9
Minimum546515
Maximum1560331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T15:48:21.982280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum546515
5-th percentile546516.05
Q1830410.75
median1163662.5
Q31281167.5
95-th percentile1346398.4
Maximum1560331
Range1013816
Interquartile range (IQR)450756.75

Descriptive statistics

Standard deviation320313.52
Coefficient of variation (CV)0.30848115
Kurtosis-1.256982
Mean1038356.9
Median Absolute Deviation (MAD)179661
Skewness-0.40513956
Sum22843851
Variance1.0260075 × 1011
MonotonicityNot monotonic
2023-12-12T15:48:22.099722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
546515 1
 
4.5%
1243265 1
 
4.5%
1560331 1
 
4.5%
1335583 1
 
4.5%
1346740 1
 
4.5%
1285740 1
 
4.5%
1339907 1
 
4.5%
1267456 1
 
4.5%
1285738 1
 
4.5%
1248171 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
546515 1
4.5%
546516 1
4.5%
546517 1
4.5%
578507 1
4.5%
632428 1
4.5%
828341 1
4.5%
836620 1
4.5%
845142 1
4.5%
845143 1
4.5%
1163660 1
4.5%
ValueCountFrequency (%)
1560331 1
4.5%
1346740 1
4.5%
1339907 1
4.5%
1335583 1
4.5%
1285740 1
4.5%
1285738 1
4.5%
1267456 1
4.5%
1248171 1
4.5%
1243265 1
4.5%
1234206 1
4.5%

등록일자
Date

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2006-01-19 00:00:00
Maximum2015-10-07 00:00:00
2023-12-12T15:48:22.212796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:22.328467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

권리존속기간
Date

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2025-06-01 00:00:00
Maximum2034-01-07 00:00:00
2023-12-12T15:48:22.446131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:22.598196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

특허권자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
보은군
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보은군 22
100.0%

Length

2023-12-12T15:48:22.705568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:48:22.786335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보은군 22
100.0%

Interactions

2023-12-12T15:48:19.115220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:18.511035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:18.758278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:19.206558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:18.580019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:18.900843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:19.294462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:18.671667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:48:19.000187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:48:22.842939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번출원의 명칭출원번호출원일자출원료등록번호등록일자권리존속기간
연번1.0001.0001.0001.0000.6320.9830.9451.000
출원의 명칭1.0001.0001.0000.9610.7671.0001.0000.961
출원번호1.0001.0001.0001.0001.0001.0001.0001.000
출원일자1.0000.9611.0001.0000.3981.0000.9781.000
출원료0.6320.7671.0000.3981.0000.7500.8300.398
등록번호0.9831.0001.0001.0000.7501.0001.0001.000
등록일자0.9451.0001.0000.9780.8301.0001.0000.978
권리존속기간1.0000.9611.0001.0000.3981.0000.9781.000
2023-12-12T15:48:22.935786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번출원료등록번호
연번1.000-0.8790.991
출원료-0.8791.000-0.877
등록번호0.991-0.8771.000

Missing values

2023-12-12T15:48:19.413919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:48:19.573883image/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

연번출원의 명칭출원번호출원일자출원료등록번호등록일자권리존속기간특허권자
01무전원 자동 소독약 투입기10-2005-00468992005-06-014670005465152006-01-192025-06-01보은군
12비상급수 알림장치10-2005-00469002005-06-013070005465162006-01-192025-06-01보은군
23무전원 자동 소독약 투입기10-2005-00766722005-08-224030005465172006-01-192025-08-22보은군
34소독약투입기용 물분배장치10-2006-00106042006-02-033710005785072006-05-032026-02-03보은군
45소독약투입기용 수조 회동장치10-2006-00250862006-03-182750006324282006-09-282026-03-18보은군
56유체흐름 자동제어밸브10-2007-1240412007-12-013390008283412008-05-012027-12-01보은군
67중력식 자동수문장치10-2007-1240422007-12-014670008366202008-06-032027-12-01보은군
78무전원 중력식 자동수문10-2008-00369632008-04-223710008451422008-07-032028-04-22보은군
89유/무전원 중력식 자동수문10-2008-00369642008-04-222750008451432008-07-032028-04-22보은군
910대추 유래의 펙틴을 함유하는 밀가루 반죽 조성물10-2010-00173102010-02-2528800011636612012-07-022030-02-25보은군
연번출원의 명칭출원번호출원일자출원료등록번호등록일자권리존속기간특허권자
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