Overview

Dataset statistics

Number of variables18
Number of observations336
Missing cells23
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.0 KiB
Average record size in memory161.4 B

Variable types

Categorical2
Numeric16

Dataset

Description국가과학기술연구회 소관 출연(연) 기술이전 통계정보 데이터(계약별, 대상별, 기술양도, 기술자문, 기타)로 기관별, 연도별 현황을 제공드립니다.
Author국가과학기술연구회
URLhttps://www.data.go.kr/data/15007254/fileData.do

Alerts

계약체(소계) is highly overall correlated with 계약별(유상 정액) and 7 other fieldsHigh correlation
계약별(유상 정액) is highly overall correlated with 계약체(소계) and 3 other fieldsHigh correlation
계약별(유상 경상) is highly overall correlated with 계약체(소계) and 3 other fieldsHigh correlation
계약별(무상) is highly overall correlated with 대상별(중소중견기업 무상) and 3 other fieldsHigh correlation
대상별(대기업) is highly overall correlated with 계약체(소계) and 4 other fieldsHigh correlation
대상별(중소중견기업 유상) is highly overall correlated with 계약체(소계) and 5 other fieldsHigh correlation
대상별(중소중견기업 무상) is highly overall correlated with 계약체(소계) and 3 other fieldsHigh correlation
대상별(기타) is highly overall correlated with 계약체(소계) and 1 other fieldsHigh correlation
기술양도(유상) is highly overall correlated with 계약체(소계) and 1 other fieldsHigh correlation
기술양도(무상) is highly overall correlated with 계약별(무상) and 1 other fieldsHigh correlation
라이선스(유상) is highly overall correlated with 계약체(소계) and 4 other fieldsHigh correlation
라이선스(무상) is highly overall correlated with 계약별(무상) and 1 other fieldsHigh correlation
기타(무상) is highly imbalanced (90.8%)Imbalance
대상별(기타) has 9 (2.7%) missing valuesMissing
계약체(소계) has 15 (4.5%) zerosZeros
계약별(유상 정액) has 37 (11.0%) zerosZeros
계약별(유상 경상) has 36 (10.7%) zerosZeros
계약별(무상) has 146 (43.5%) zerosZeros
대상별(대기업) has 133 (39.6%) zerosZeros
대상별(중소중견기업 유상) has 17 (5.1%) zerosZeros
대상별(중소중견기업 무상) has 160 (47.6%) zerosZeros
대상별(기타) has 159 (47.3%) zerosZeros
기술양도(유상) has 157 (46.7%) zerosZeros
기술양도(무상) has 229 (68.2%) zerosZeros
라이선스(유상) has 20 (6.0%) zerosZeros
라이선스(무상) has 202 (60.1%) zerosZeros
기술자문(유상) has 283 (84.2%) zerosZeros
기술자문(무상) has 317 (94.3%) zerosZeros
기타(유상) has 296 (88.1%) zerosZeros

Reproduction

Analysis started2023-12-12 08:40:14.007939
Analysis finished2023-12-12 08:40:46.661313
Duration32.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

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

Length

Max length6
Median length5
Mean length4.9583333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
과기연 14
 
4.2%
기초(연) 14
 
4.2%
핵융합(연) 14
 
4.2%
천문(연) 14
 
4.2%
생명(연) 14
 
4.2%
과기정보연 14
 
4.2%
한의학(연) 14
 
4.2%
생기원 14
 
4.2%
전자통신연 14
 
4.2%
국보(연) 14
 
4.2%
Other values (14) 196
58.3%

Length

2023-12-12T17:40:46.770029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
과기연 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
2023-12-12T17:40:46.930898image/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
2023-12-12T17:40:47.127888image/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%

계약체(소계)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct144
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.339286
Minimum0
Maximum760
Zeros15
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:47.299826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q115
median34.5
Q378
95-th percentile327.25
Maximum760
Range760
Interquartile range (IQR)63

Descriptive statistics

Standard deviation108.39341
Coefficient of variation (CV)1.4580906
Kurtosis9.1005502
Mean74.339286
Median Absolute Deviation (MAD)26.5
Skewness2.7526631
Sum24978
Variance11749.132
MonotonicityNot monotonic
2023-12-12T17:40:47.511747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
4.5%
15 8
 
2.4%
4 8
 
2.4%
3 8
 
2.4%
2 7
 
2.1%
17 7
 
2.1%
18 7
 
2.1%
7 7
 
2.1%
25 7
 
2.1%
29 6
 
1.8%
Other values (134) 256
76.2%
ValueCountFrequency (%)
0 15
4.5%
1 5
 
1.5%
2 7
2.1%
3 8
2.4%
4 8
2.4%
5 6
 
1.8%
6 2
 
0.6%
7 7
2.1%
8 4
 
1.2%
9 1
 
0.3%
ValueCountFrequency (%)
760 1
0.3%
619 1
0.3%
597 1
0.3%
470 1
0.3%
434 1
0.3%
420 1
0.3%
397 1
0.3%
390 1
0.3%
370 1
0.3%
369 1
0.3%

계약별(유상 정액)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct99
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.482143
Minimum0
Maximum355
Zeros37
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:47.714959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q336.25
95-th percentile116.25
Maximum355
Range355
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation49.355243
Coefficient of variation (CV)1.5677218
Kurtosis13.698742
Mean31.482143
Median Absolute Deviation (MAD)12
Skewness3.2419925
Sum10578
Variance2435.94
MonotonicityNot monotonic
2023-12-12T17:40:47.938490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
11.0%
1 19
 
5.7%
3 15
 
4.5%
2 14
 
4.2%
15 13
 
3.9%
9 11
 
3.3%
7 10
 
3.0%
4 10
 
3.0%
5 10
 
3.0%
16 8
 
2.4%
Other values (89) 189
56.2%
ValueCountFrequency (%)
0 37
11.0%
1 19
5.7%
2 14
 
4.2%
3 15
4.5%
4 10
 
3.0%
5 10
 
3.0%
6 6
 
1.8%
7 10
 
3.0%
8 8
 
2.4%
9 11
 
3.3%
ValueCountFrequency (%)
355 1
0.3%
344 1
0.3%
277 1
0.3%
241 1
0.3%
235 1
0.3%
208 1
0.3%
201 1
0.3%
200 1
0.3%
186 1
0.3%
171 1
0.3%

계약별(유상 경상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct68
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.761905
Minimum0
Maximum418
Zeros36
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:48.114065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile69.25
Maximum418
Range418
Interquartile range (IQR)18

Descriptive statistics

Standard deviation57.090788
Coefficient of variation (CV)2.3055895
Kurtosis21.403529
Mean24.761905
Median Absolute Deviation (MAD)7.5
Skewness4.5272586
Sum8320
Variance3259.3581
MonotonicityNot monotonic
2023-12-12T17:40:48.293493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
10.7%
3 20
 
6.0%
6 17
 
5.1%
1 16
 
4.8%
10 15
 
4.5%
7 15
 
4.5%
2 15
 
4.5%
4 14
 
4.2%
5 11
 
3.3%
14 11
 
3.3%
Other values (58) 166
49.4%
ValueCountFrequency (%)
0 36
10.7%
1 16
4.8%
2 15
4.5%
3 20
6.0%
4 14
 
4.2%
5 11
 
3.3%
6 17
5.1%
7 15
4.5%
8 11
 
3.3%
9 11
 
3.3%
ValueCountFrequency (%)
418 1
0.3%
368 1
0.3%
343 1
0.3%
336 1
0.3%
294 1
0.3%
292 1
0.3%
285 1
0.3%
272 1
0.3%
254 1
0.3%
252 1
0.3%

계약별(무상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct57
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.011905
Minimum0
Maximum377
Zeros146
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:48.466612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile150.75
Maximum377
Range377
Interquartile range (IQR)7

Descriptive statistics

Standard deviation54.040614
Coefficient of variation (CV)3.000272
Kurtosis17.446859
Mean18.011905
Median Absolute Deviation (MAD)1
Skewness4.1570828
Sum6052
Variance2920.3879
MonotonicityNot monotonic
2023-12-12T17:40:48.668062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146
43.5%
1 32
 
9.5%
7 18
 
5.4%
2 15
 
4.5%
3 14
 
4.2%
5 11
 
3.3%
4 10
 
3.0%
6 9
 
2.7%
9 7
 
2.1%
11 5
 
1.5%
Other values (47) 69
20.5%
ValueCountFrequency (%)
0 146
43.5%
1 32
 
9.5%
2 15
 
4.5%
3 14
 
4.2%
4 10
 
3.0%
5 11
 
3.3%
6 9
 
2.7%
7 18
 
5.4%
8 2
 
0.6%
9 7
 
2.1%
ValueCountFrequency (%)
377 1
0.3%
316 1
0.3%
300 1
0.3%
275 1
0.3%
261 1
0.3%
255 1
0.3%
254 1
0.3%
229 1
0.3%
223 1
0.3%
222 1
0.3%

대상별(대기업)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct40
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5178571
Minimum0
Maximum55
Zeros133
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:48.852887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile30
Maximum55
Range55
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.617753
Coefficient of variation (CV)1.7430232
Kurtosis5.8220358
Mean5.5178571
Median Absolute Deviation (MAD)1
Skewness2.4260572
Sum1854
Variance92.501173
MonotonicityNot monotonic
2023-12-12T17:40:49.022488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 133
39.6%
1 46
 
13.7%
2 26
 
7.7%
7 15
 
4.5%
4 15
 
4.5%
3 14
 
4.2%
5 12
 
3.6%
8 8
 
2.4%
6 7
 
2.1%
12 5
 
1.5%
Other values (30) 55
16.4%
ValueCountFrequency (%)
0 133
39.6%
1 46
 
13.7%
2 26
 
7.7%
3 14
 
4.2%
4 15
 
4.5%
5 12
 
3.6%
6 7
 
2.1%
7 15
 
4.5%
8 8
 
2.4%
9 3
 
0.9%
ValueCountFrequency (%)
55 1
 
0.3%
48 1
 
0.3%
44 1
 
0.3%
41 1
 
0.3%
40 1
 
0.3%
39 1
 
0.3%
36 1
 
0.3%
35 1
 
0.3%
34 4
1.2%
32 2
0.6%

대상별(중소중견기업 유상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct113
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.497024
Minimum0
Maximum383
Zeros17
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:49.198697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q110
median22
Q354.5
95-th percentile261.75
Maximum383
Range383
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation76.18246
Coefficient of variation (CV)1.5391321
Kurtosis7.341004
Mean49.497024
Median Absolute Deviation (MAD)16
Skewness2.7788131
Sum16631
Variance5803.7672
MonotonicityNot monotonic
2023-12-12T17:40:49.405038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
5.1%
3 10
 
3.0%
19 10
 
3.0%
7 10
 
3.0%
21 10
 
3.0%
18 9
 
2.7%
6 9
 
2.7%
15 9
 
2.7%
2 9
 
2.7%
20 9
 
2.7%
Other values (103) 234
69.6%
ValueCountFrequency (%)
0 17
5.1%
1 7
2.1%
2 9
2.7%
3 10
3.0%
4 7
2.1%
5 6
 
1.8%
6 9
2.7%
7 10
3.0%
8 4
 
1.2%
9 3
 
0.9%
ValueCountFrequency (%)
383 1
0.3%
369 1
0.3%
363 1
0.3%
355 2
0.6%
351 1
0.3%
347 1
0.3%
338 1
0.3%
320 1
0.3%
305 1
0.3%
304 1
0.3%

대상별(중소중견기업 무상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)15.3%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean10.676647
Minimum0
Maximum373
Zeros160
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:49.598794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile52.05
Maximum373
Range373
Interquartile range (IQR)6

Descriptive statistics

Standard deviation34.331587
Coefficient of variation (CV)3.2155777
Kurtosis55.336261
Mean10.676647
Median Absolute Deviation (MAD)1
Skewness6.6814768
Sum3566
Variance1178.6579
MonotonicityNot monotonic
2023-12-12T17:40:49.764288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
47.6%
1 40
 
11.9%
2 14
 
4.2%
5 12
 
3.6%
4 10
 
3.0%
3 10
 
3.0%
7 9
 
2.7%
6 9
 
2.7%
9 5
 
1.5%
8 4
 
1.2%
Other values (41) 61
 
18.2%
ValueCountFrequency (%)
0 160
47.6%
1 40
 
11.9%
2 14
 
4.2%
3 10
 
3.0%
4 10
 
3.0%
5 12
 
3.6%
6 9
 
2.7%
7 9
 
2.7%
8 4
 
1.2%
9 5
 
1.5%
ValueCountFrequency (%)
373 1
0.3%
274 1
0.3%
253 1
0.3%
160 1
0.3%
117 1
0.3%
111 1
0.3%
104 1
0.3%
94 1
0.3%
90 1
0.3%
89 1
0.3%

대상별(기타)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct41
Distinct (%)12.5%
Missing9
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean8.8685015
Minimum0
Maximum228
Zeros159
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:49.947229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26.7
Maximum228
Range228
Interquartile range (IQR)4

Descriptive statistics

Standard deviation29.156408
Coefficient of variation (CV)3.2876364
Kurtosis27.974859
Mean8.8685015
Median Absolute Deviation (MAD)1
Skewness5.0914607
Sum2900
Variance850.09615
MonotonicityNot monotonic
2023-12-12T17:40:50.127431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 159
47.3%
1 41
 
12.2%
2 25
 
7.4%
4 12
 
3.6%
7 10
 
3.0%
3 10
 
3.0%
12 7
 
2.1%
5 7
 
2.1%
6 6
 
1.8%
16 5
 
1.5%
Other values (31) 45
 
13.4%
(Missing) 9
 
2.7%
ValueCountFrequency (%)
0 159
47.3%
1 41
 
12.2%
2 25
 
7.4%
3 10
 
3.0%
4 12
 
3.6%
5 7
 
2.1%
6 6
 
1.8%
7 10
 
3.0%
8 3
 
0.9%
9 2
 
0.6%
ValueCountFrequency (%)
228 1
0.3%
221 1
0.3%
189 1
0.3%
151 1
0.3%
146 1
0.3%
131 1
0.3%
126 1
0.3%
121 1
0.3%
114 1
0.3%
110 1
0.3%

기술양도(유상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0982143
Minimum0
Maximum72
Zeros157
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:50.613039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13.25
Maximum72
Range72
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.3451698
Coefficient of variation (CV)2.3707753
Kurtosis34.81061
Mean3.0982143
Median Absolute Deviation (MAD)1
Skewness5.1857943
Sum1041
Variance53.951519
MonotonicityNot monotonic
2023-12-12T17:40:50.744326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 157
46.7%
1 59
 
17.6%
2 30
 
8.9%
3 17
 
5.1%
4 16
 
4.8%
6 13
 
3.9%
9 10
 
3.0%
12 4
 
1.2%
18 3
 
0.9%
5 3
 
0.9%
Other values (18) 24
 
7.1%
ValueCountFrequency (%)
0 157
46.7%
1 59
 
17.6%
2 30
 
8.9%
3 17
 
5.1%
4 16
 
4.8%
5 3
 
0.9%
6 13
 
3.9%
7 3
 
0.9%
8 1
 
0.3%
9 10
 
3.0%
ValueCountFrequency (%)
72 1
 
0.3%
50 1
 
0.3%
45 1
 
0.3%
44 1
 
0.3%
39 1
 
0.3%
29 1
 
0.3%
25 1
 
0.3%
23 1
 
0.3%
22 1
 
0.3%
18 3
0.9%

기술양도(무상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)12.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean6.5791045
Minimum0
Maximum371
Zeros229
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:50.883731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile26.3
Maximum371
Range371
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.538856
Coefficient of variation (CV)4.6417952
Kurtosis89.12986
Mean6.5791045
Median Absolute Deviation (MAD)0
Skewness8.9220841
Sum2204
Variance932.62172
MonotonicityNot monotonic
2023-12-12T17:40:51.032589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 229
68.2%
1 25
 
7.4%
2 8
 
2.4%
3 7
 
2.1%
4 6
 
1.8%
5 5
 
1.5%
6 5
 
1.5%
9 4
 
1.2%
7 3
 
0.9%
13 3
 
0.9%
Other values (31) 40
 
11.9%
ValueCountFrequency (%)
0 229
68.2%
1 25
 
7.4%
2 8
 
2.4%
3 7
 
2.1%
4 6
 
1.8%
5 5
 
1.5%
6 5
 
1.5%
7 3
 
0.9%
9 4
 
1.2%
11 2
 
0.6%
ValueCountFrequency (%)
371 1
0.3%
274 1
0.3%
240 1
0.3%
160 1
0.3%
55 1
0.3%
50 1
0.3%
49 1
0.3%
48 1
0.3%
43 1
0.3%
39 1
0.3%

라이선스(유상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct109
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.133929
Minimum0
Maximum413
Zeros20
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:51.186388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median24
Q347
95-th percentile266.5
Maximum413
Range413
Interquartile range (IQR)37

Descriptive statistics

Standard deviation78.334015
Coefficient of variation (CV)1.562495
Kurtosis7.894683
Mean50.133929
Median Absolute Deviation (MAD)18
Skewness2.8641121
Sum16845
Variance6136.2178
MonotonicityNot monotonic
2023-12-12T17:40:51.342315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
6.0%
4 12
 
3.6%
3 11
 
3.3%
21 10
 
3.0%
25 9
 
2.7%
17 9
 
2.7%
29 8
 
2.4%
10 8
 
2.4%
6 8
 
2.4%
1 7
 
2.1%
Other values (99) 234
69.6%
ValueCountFrequency (%)
0 20
6.0%
1 7
 
2.1%
2 6
 
1.8%
3 11
3.3%
4 12
3.6%
5 6
 
1.8%
6 8
 
2.4%
7 2
 
0.6%
8 7
 
2.1%
9 3
 
0.9%
ValueCountFrequency (%)
413 1
0.3%
376 1
0.3%
368 1
0.3%
366 1
0.3%
365 2
0.6%
363 1
0.3%
358 1
0.3%
339 1
0.3%
321 1
0.3%
304 1
0.3%

라이선스(무상)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)8.4%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean2.742515
Minimum0
Maximum69
Zeros202
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:51.484352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14.35
Maximum69
Range69
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.5296405
Coefficient of variation (CV)2.3808951
Kurtosis35.621828
Mean2.742515
Median Absolute Deviation (MAD)0
Skewness4.8588641
Sum916
Variance42.636205
MonotonicityNot monotonic
2023-12-12T17:40:51.614635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 202
60.1%
1 38
 
11.3%
2 14
 
4.2%
5 11
 
3.3%
7 10
 
3.0%
6 9
 
2.7%
3 8
 
2.4%
4 7
 
2.1%
9 5
 
1.5%
13 4
 
1.2%
Other values (18) 26
 
7.7%
ValueCountFrequency (%)
0 202
60.1%
1 38
 
11.3%
2 14
 
4.2%
3 8
 
2.4%
4 7
 
2.1%
5 11
 
3.3%
6 9
 
2.7%
7 10
 
3.0%
8 3
 
0.9%
9 5
 
1.5%
ValueCountFrequency (%)
69 1
0.3%
35 1
0.3%
30 1
0.3%
28 1
0.3%
26 1
0.3%
25 1
0.3%
24 2
0.6%
22 1
0.3%
20 2
0.6%
19 2
0.6%

기술자문(유상)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)9.0%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2.8168168
Minimum0
Maximum72
Zeros283
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:51.832825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.4
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.8053074
Coefficient of variation (CV)3.4809887
Kurtosis20.249587
Mean2.8168168
Median Absolute Deviation (MAD)0
Skewness4.3710878
Sum938
Variance96.144054
MonotonicityNot monotonic
2023-12-12T17:40:51.961537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 283
84.2%
1 8
 
2.4%
12 5
 
1.5%
11 3
 
0.9%
5 3
 
0.9%
3 2
 
0.6%
2 2
 
0.6%
7 2
 
0.6%
21 2
 
0.6%
16 2
 
0.6%
Other values (20) 21
 
6.2%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
0 283
84.2%
1 8
 
2.4%
2 2
 
0.6%
3 2
 
0.6%
5 3
 
0.9%
7 2
 
0.6%
8 1
 
0.3%
9 1
 
0.3%
11 3
 
0.9%
12 5
 
1.5%
ValueCountFrequency (%)
72 1
0.3%
59 1
0.3%
57 1
0.3%
53 1
0.3%
51 1
0.3%
47 1
0.3%
45 1
0.3%
44 1
0.3%
41 1
0.3%
38 1
0.3%

기술자문(무상)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)5.1%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean8.7507508
Minimum0
Maximum316
Zeros317
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:52.111090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum316
Range316
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.109636
Coefficient of variation (CV)4.9263928
Kurtosis25.643851
Mean8.7507508
Median Absolute Deviation (MAD)0
Skewness5.0713319
Sum2914
Variance1858.4407
MonotonicityNot monotonic
2023-12-12T17:40:52.238395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 317
94.3%
316 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%
176 1
 
0.3%
226 1
 
0.3%
195 1
 
0.3%
228 1
 
0.3%
148 1
 
0.3%
150 1
 
0.3%
Other values (7) 7
 
2.1%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
0 317
94.3%
1 1
 
0.3%
2 1
 
0.3%
148 1
 
0.3%
150 1
 
0.3%
154 1
 
0.3%
160 1
 
0.3%
176 1
 
0.3%
184 1
 
0.3%
195 1
 
0.3%
ValueCountFrequency (%)
316 1
0.3%
300 1
0.3%
254 1
0.3%
228 1
0.3%
226 1
0.3%
222 1
0.3%
198 1
0.3%
195 1
0.3%
184 1
0.3%
176 1
0.3%

기타(유상)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.4%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.27327327
Minimum0
Maximum16
Zeros296
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T17:40:52.388927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1950351
Coefficient of variation (CV)4.3730404
Kurtosis96.319601
Mean0.27327327
Median Absolute Deviation (MAD)0
Skewness8.5253704
Sum91
Variance1.4281088
MonotonicityNot monotonic
2023-12-12T17:40:52.514283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 296
88.1%
1 18
 
5.4%
2 9
 
2.7%
3 4
 
1.2%
6 2
 
0.6%
4 2
 
0.6%
16 1
 
0.3%
7 1
 
0.3%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
0 296
88.1%
1 18
 
5.4%
2 9
 
2.7%
3 4
 
1.2%
4 2
 
0.6%
6 2
 
0.6%
7 1
 
0.3%
16 1
 
0.3%
ValueCountFrequency (%)
16 1
 
0.3%
7 1
 
0.3%
6 2
 
0.6%
4 2
 
0.6%
3 4
 
1.2%
2 9
 
2.7%
1 18
 
5.4%
0 296
88.1%

기타(무상)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
0
330 
<NA>
 
4
1
 
2

Length

Max length4
Median length1
Mean length1.0357143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 330
98.2%
<NA> 4
 
1.2%
1 2
 
0.6%

Length

2023-12-12T17:40:52.674945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:52.795669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 330
98.2%
na 4
 
1.2%
1 2
 
0.6%

Interactions

2023-12-12T17:40:43.742345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:40:15.050835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:40:17.506925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:40:19.427162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/