Overview

Dataset statistics

Number of variables9
Number of observations336
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory80.4 B

Variable types

Categorical1
Numeric8

Dataset

Description국가과학기술연구회 소관 출연(연)의 특허 통계(출원(국내외), 등록(국내외), 연도별, 기관별)에 대한 정보입니다.
Author국가과학기술연구회
URLhttps://www.data.go.kr/data/15007235/fileData.do

Alerts

출원 소계 is highly overall correlated with 출원(국내) and 5 other fieldsHigh correlation
출원(국내) is highly overall correlated with 출원 소계 and 6 other fieldsHigh correlation
출원(국외 PCT) is highly overall correlated with 출원 소계 and 5 other fieldsHigh correlation
출원(국외 일반) is highly overall correlated with 출원 소계 and 5 other fieldsHigh correlation
등록 소계 is highly overall correlated with 출원 소계 and 5 other fieldsHigh correlation
등록(국내) is highly overall correlated with 출원 소계 and 5 other fieldsHigh correlation
등록(국외) is highly overall correlated with 출원 소계 and 5 other fieldsHigh correlation
기관명 is highly overall correlated with 출원(국내)High correlation
출원(국외 PCT) has 36 (10.7%) zerosZeros
출원(국외 일반) has 38 (11.3%) zerosZeros
등록 소계 has 4 (1.2%) zerosZeros
등록(국내) has 4 (1.2%) zerosZeros
등록(국외) has 41 (12.2%) zerosZeros

Reproduction

Analysis started2023-12-12 17:22:44.879642
Analysis finished2023-12-12 17:22:52.783536
Duration7.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
KIST
 
14
기초(연)
 
14
핵융합(연)
 
14
천문(연)
 
14
생명(연)
 
14
Other values (19)
266 

Length

Max length6
Median length5
Mean length5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KIST 14
 
4.2%
기초(연) 14
 
4.2%
핵융합(연) 14
 
4.2%
천문(연) 14
 
4.2%
생명(연) 14
 
4.2%
KISTI 14
 
4.2%
한의학(연) 14
 
4.2%
생기원 14
 
4.2%
ETRI 14
 
4.2%
국보(연) 14
 
4.2%
Other values (14) 196
58.3%

Length

2023-12-13T02:22:52.847664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kist 14
 
4.2%
기초(연 14
 
4.2%
안전(연 14
 
4.2%
화학(연 14
 
4.2%
전기(연 14
 
4.2%
에너지(연 14
 
4.2%
항우(연 14
 
4.2%
재료(연 14
 
4.2%
기계(연 14
 
4.2%
지자(연 14
 
4.2%
Other values (14) 196
58.3%

년도
Real number (ℝ)

Distinct14
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.5
Minimum2008
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:52.943956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2008
Q12011
median2014.5
Q32018
95-th percentile2021
Maximum2021
Range13
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.037141
Coefficient of variation (CV)0.0020040412
Kurtosis-1.2124712
Mean2014.5
Median Absolute Deviation (MAD)3.5
Skewness0
Sum676872
Variance16.298507
MonotonicityNot monotonic
2023-12-13T02:22:53.062628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2008 24
 
7.1%
2009 24
 
7.1%
2010 24
 
7.1%
2011 24
 
7.1%
2012 24
 
7.1%
2013 24
 
7.1%
2014 24
 
7.1%
2015 24
 
7.1%
2016 24
 
7.1%
2017 24
 
7.1%
Other values (4) 96
28.6%
ValueCountFrequency (%)
2008 24
7.1%
2009 24
7.1%
2010 24
7.1%
2011 24
7.1%
2012 24
7.1%
2013 24
7.1%
2014 24
7.1%
2015 24
7.1%
2016 24
7.1%
2017 24
7.1%
ValueCountFrequency (%)
2021 24
7.1%
2020 24
7.1%
2019 24
7.1%
2018 24
7.1%
2017 24
7.1%
2016 24
7.1%
2015 24
7.1%
2014 24
7.1%
2013 24
7.1%
2012 24
7.1%

출원 소계
Real number (ℝ)

HIGH CORRELATION 

Distinct257
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.59821
Minimum0
Maximum4310
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:53.184931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.5
Q169.75
median200
Q3317
95-th percentile782
Maximum4310
Range4310
Interquartile range (IQR)247.25

Descriptive statistics

Standard deviation648.19644
Coefficient of variation (CV)1.8701667
Kurtosis18.251533
Mean346.59821
Median Absolute Deviation (MAD)123.5
Skewness4.2361763
Sum116457
Variance420158.63
MonotonicityNot monotonic
2023-12-13T02:22:53.313982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306 4
 
1.2%
7 4
 
1.2%
200 4
 
1.2%
5 4
 
1.2%
86 4
 
1.2%
39 3
 
0.9%
20 3
 
0.9%
12 3
 
0.9%
0 3
 
0.9%
13 3
 
0.9%
Other values (247) 301
89.6%
ValueCountFrequency (%)
0 3
0.9%
2 1
 
0.3%
3 3
0.9%
4 1
 
0.3%
5 4
1.2%
6 1
 
0.3%
7 4
1.2%
9 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
ValueCountFrequency (%)
4310 1
0.3%
3871 1
0.3%
3755 1
0.3%
3670 1
0.3%
3574 1
0.3%
3546 1
0.3%
3225 1
0.3%
3223 1
0.3%
3168 1
0.3%
2900 1
0.3%

출원(국내)
Real number (ℝ)

HIGH CORRELATION 

Distinct225
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.4881
Minimum0
Maximum2244
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:53.446799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q150
median165
Q3253.25
95-th percentile606.25
Maximum2244
Range2244
Interquartile range (IQR)203.25

Descriptive statistics

Standard deviation397.275
Coefficient of variation (CV)1.6183066
Kurtosis14.785403
Mean245.4881
Median Absolute Deviation (MAD)106
Skewness3.8154093
Sum82484
Variance157827.43
MonotonicityNot monotonic
2023-12-13T02:22:53.958484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183 6
 
1.8%
39 5
 
1.5%
17 5
 
1.5%
3 5
 
1.5%
169 5
 
1.5%
33 4
 
1.2%
28 4
 
1.2%
172 3
 
0.9%
173 3
 
0.9%
275 3
 
0.9%
Other values (215) 293
87.2%
ValueCountFrequency (%)
0 3
0.9%
2 2
 
0.6%
3 5
1.5%
4 1
 
0.3%
5 2
 
0.6%
6 3
0.9%
7 3
0.9%
9 3
0.9%
10 2
 
0.6%
11 3
0.9%
ValueCountFrequency (%)
2244 1
0.3%
2226 1
0.3%
2199 1
0.3%
2172 1
0.3%
2063 1
0.3%
2034 1
0.3%
2017 1
0.3%
2005 1
0.3%
1999 1
0.3%
1982 1
0.3%

출원(국외 PCT)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct69
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.550595
Minimum0
Maximum481
Zeros36
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:54.130938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q326
95-th percentile59.25
Maximum481
Range481
Interquartile range (IQR)22

Descriptive statistics

Standard deviation32.514114
Coefficient of variation (CV)1.6630754
Kurtosis122.4267
Mean19.550595
Median Absolute Deviation (MAD)9
Skewness9.1606375
Sum6569
Variance1057.1676
MonotonicityNot monotonic
2023-12-13T02:22:54.333255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
10.7%
11 16
 
4.8%
8 15
 
4.5%
3 15
 
4.5%
5 14
 
4.2%
7 13
 
3.9%
14 13
 
3.9%
1 12
 
3.6%
9 12
 
3.6%
4 11
 
3.3%
Other values (59) 179
53.3%
ValueCountFrequency (%)
0 36
10.7%
1 12
 
3.6%
2 11
 
3.3%
3 15
4.5%
4 11
 
3.3%
5 14
 
4.2%
6 10
 
3.0%
7 13
 
3.9%
8 15
4.5%
9 12
 
3.6%
ValueCountFrequency (%)
481 1
0.3%
175 1
0.3%
105 1
0.3%
102 1
0.3%
82 1
0.3%
77 1
0.3%
72 1
0.3%
69 1
0.3%
66 1
0.3%
65 1
0.3%

출원(국외 일반)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct110
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.559524
Minimum0
Maximum1936
Zeros38
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:54.545516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median19
Q351.5
95-th percentile209.25
Maximum1936
Range1936
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation243.59405
Coefficient of variation (CV)2.9867027
Kurtosis28.16626
Mean81.559524
Median Absolute Deviation (MAD)17
Skewness5.1584897
Sum27404
Variance59338.062
MonotonicityNot monotonic
2023-12-13T02:22:54.706493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
11.3%
4 14
 
4.2%
1 13
 
3.9%
12 11
 
3.3%
5 10
 
3.0%
8 10
 
3.0%
6 9
 
2.7%
14 9
 
2.7%
11 8
 
2.4%
7 7
 
2.1%
Other values (100) 207
61.6%
ValueCountFrequency (%)
0 38
11.3%
1 13
 
3.9%
2 7
 
2.1%
3 5
 
1.5%
4 14
 
4.2%
5 10
 
3.0%
6 9
 
2.7%
7 7
 
2.1%
8 10
 
3.0%
9 3
 
0.9%
ValueCountFrequency (%)
1936 1
0.3%
1763 1
0.3%
1487 1
0.3%
1448 1
0.3%
1429 1
0.3%
1198 1
0.3%
1172 1
0.3%
982 1
0.3%
960 1
0.3%
912 1
0.3%

등록 소계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct224
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.50595
Minimum0
Maximum2136
Zeros4
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:54.890891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q143.75
median128.5
Q3246.25
95-th percentile635
Maximum2136
Range2136
Interquartile range (IQR)202.5

Descriptive statistics

Standard deviation315.29328
Coefficient of variation (CV)1.4977879
Kurtosis14.069342
Mean210.50595
Median Absolute Deviation (MAD)91.5
Skewness3.5583519
Sum70730
Variance99409.851
MonotonicityNot monotonic
2023-12-13T02:22:55.067985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 5
 
1.5%
4 5
 
1.5%
25 4
 
1.2%
0 4
 
1.2%
190 4
 
1.2%
87 4
 
1.2%
48 4
 
1.2%
29 4
 
1.2%
116 4
 
1.2%
85 3
 
0.9%
Other values (214) 295
87.8%
ValueCountFrequency (%)
0 4
1.2%
1 3
0.9%
2 3
0.9%
3 2
 
0.6%
4 5
1.5%
5 1
 
0.3%
6 1
 
0.3%
7 2
 
0.6%
8 3
0.9%
9 2
 
0.6%
ValueCountFrequency (%)
2136 1
0.3%
1852 1
0.3%
1707 1
0.3%
1690 1
0.3%
1600 1
0.3%
1564 1
0.3%
1558 1
0.3%
1550 1
0.3%
1541 1
0.3%
1496 1
0.3%

등록(국내)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct212
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.52679
Minimum0
Maximum1241
Zeros4
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:55.250091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q134.75
median103
Q3195.25
95-th percentile466
Maximum1241
Range1241
Interquartile range (IQR)160.5

Descriptive statistics

Standard deviation183.90478
Coefficient of variation (CV)1.1978677
Kurtosis11.660166
Mean153.52679
Median Absolute Deviation (MAD)77
Skewness2.9439793
Sum51585
Variance33820.966
MonotonicityNot monotonic
2023-12-13T02:22:55.501196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 5
 
1.5%
21 5
 
1.5%
43 5
 
1.5%
4 5
 
1.5%
20 5
 
1.5%
128 4
 
1.2%
69 4
 
1.2%
0 4
 
1.2%
15 4
 
1.2%
45 4
 
1.2%
Other values (202) 291
86.6%
ValueCountFrequency (%)
0 4
1.2%
1 3
0.9%
2 3
0.9%
3 2
 
0.6%
4 5
1.5%
5 1
 
0.3%
6 2
 
0.6%
7 3
0.9%
8 3
0.9%
9 2
 
0.6%
ValueCountFrequency (%)
1241 1
0.3%
1201 2
0.6%
934 1
0.3%
917 1
0.3%
865 1
0.3%
796 1
0.3%
791 1
0.3%
669 1
0.3%
644 1
0.3%
643 1
0.3%

등록(국외)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct99
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.979167
Minimum0
Maximum957
Zeros41
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T02:22:55.713961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14.5
Q346.25
95-th percentile159.25
Maximum957
Range957
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation153.91813
Coefficient of variation (CV)2.7013054
Kurtosis21.218087
Mean56.979167
Median Absolute Deviation (MAD)13.5
Skewness4.6224136
Sum19145
Variance23690.791
MonotonicityNot monotonic
2023-12-13T02:22:55.900409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
12.2%
1 17
 
5.1%
2 15
 
4.5%
9 13
 
3.9%
3 12
 
3.6%
4 12
 
3.6%
5 10
 
3.0%
8 9
 
2.7%
15 8
 
2.4%
14 7
 
2.1%
Other values (89) 192
57.1%
ValueCountFrequency (%)
0 41
12.2%
1 17
5.1%
2 15
 
4.5%
3 12
 
3.6%
4 12
 
3.6%
5 10
 
3.0%
6 6
 
1.8%
7 7
 
2.1%
8 9
 
2.7%
9 13
 
3.9%
ValueCountFrequency (%)
957 1
0.3%
935 1
0.3%
918 1
0.3%
911 1
0.3%
893 1
0.3%
881 1
0.3%
810 1
0.3%
741 1
0.3%
705 1
0.3%
699 1
0.3%

Interactions

2023-12-13T02:22:51.920616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:45.211313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:45.994981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:46.997613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:48.020681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:49.135135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:50.256658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:51.146882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:52.006620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:45.335786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/