Overview

Dataset statistics

Number of variables14
Number of observations181
Missing cells142
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.2 KiB
Average record size in memory125.7 B

Variable types

Text1
Numeric13

Dataset

Description2014-2019년 문에진흥기금 공모사업 중 문학 분야 "문예지발간" 지원 사업의 분야별 계량성과(예: 연간 발행 호수, 분야별 수록 작품 수, 원고료 지급 창작자 수 등)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076415/fileData.do

Alerts

연간발행호수 is highly overall correlated with 원고료지급총창작자수(명) and 1 other fieldsHigh correlation
동시_수록작품수(건) is highly overall correlated with 동화_수록작품수(건)High correlation
동화_수록작품수(건) is highly overall correlated with 동시_수록작품수(건)High correlation
원고료지급총창작자수(명) is highly overall correlated with 연간발행호수 and 1 other fieldsHigh correlation
원고료지급보조금창작자수(명) is highly overall correlated with 연간발행호수 and 1 other fieldsHigh correlation
원고료지급총창작자수(명) has 71 (39.2%) missing valuesMissing
원고료지급보조금창작자수(명) has 71 (39.2%) missing valuesMissing
연간발행호수 has 3 (1.7%) zerosZeros
소설_수록작품수(건) has 81 (44.8%) zerosZeros
시_수록작품수(건) has 65 (35.9%) zerosZeros
시조_수록작품수(건) has 146 (80.7%) zerosZeros
수필_수록작품수(건) has 95 (52.5%) zerosZeros
동시_수록작품수(건) has 137 (75.7%) zerosZeros
동화_수록작품수(건) has 144 (79.6%) zerosZeros
평론_수록작품수(건) has 27 (14.9%) zerosZeros
희곡_수록작품수(건) has 162 (89.5%) zerosZeros
기타_수록작품수(건) has 69 (38.1%) zerosZeros

Reproduction

Analysis started2023-12-12 20:24:25.848174
Analysis finished2023-12-12 20:24:46.007378
Duration20.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct62
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T05:24:46.195554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters905
Distinct characters68
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)10.5%

Sample

1st row*제**부
2nd row*국**회
3rd row*1**학
4th row*학**네
5th row*학**상
ValueCountFrequency (%)
국**회 45
24.9%
대**학 8
 
4.4%
제**부 5
 
2.8%
학**네 4
 
2.2%
학**상 4
 
2.2%
비**비 4
 
2.2%
학**사 4
 
2.2%
음**음 4
 
2.2%
년**작 3
 
1.7%
학**당 3
 
1.7%
Other values (52) 97
53.6%
2023-12-13T05:24:46.663516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 543
60.0%
54
 
6.0%
48
 
5.3%
41
 
4.5%
17
 
1.9%
11
 
1.2%
10
 
1.1%
9
 
1.0%
9
 
1.0%
8
 
0.9%
Other values (58) 155
 
17.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 543
60.0%
Other Letter 360
39.8%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
54
 
15.0%
48
 
13.3%
41
 
11.4%
17
 
4.7%
11
 
3.1%
10
 
2.8%
9
 
2.5%
9
 
2.5%
8
 
2.2%
7
 
1.9%
Other values (56) 146
40.6%
Other Punctuation
ValueCountFrequency (%)
* 543
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 545
60.2%
Hangul 360
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
54
 
15.0%
48
 
13.3%
41
 
11.4%
17
 
4.7%
11
 
3.1%
10
 
2.8%
9
 
2.5%
9
 
2.5%
8
 
2.2%
7
 
1.9%
Other values (56) 146
40.6%
Common
ValueCountFrequency (%)
* 543
99.6%
1 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 545
60.2%
Hangul 360
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 543
99.6%
1 2
 
0.4%
Hangul
ValueCountFrequency (%)
54
 
15.0%
48
 
13.3%
41
 
11.4%
17
 
4.7%
11
 
3.1%
10
 
2.8%
9
 
2.5%
9
 
2.5%
8
 
2.2%
7
 
1.9%
Other values (56) 146
40.6%

사업연도
Real number (ℝ)

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.7624
Minimum2014
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:46.810143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12014
median2018
Q32019
95-th percentile2019
Maximum2019
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.0395867
Coefficient of variation (CV)0.0010113173
Kurtosis-1.5893876
Mean2016.7624
Median Absolute Deviation (MAD)1
Skewness-0.35284142
Sum365034
Variance4.1599141
MonotonicityIncreasing
2023-12-13T05:24:46.948673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2014 51
28.2%
2018 50
27.6%
2019 47
26.0%
2015 14
 
7.7%
2017 13
 
7.2%
2016 6
 
3.3%
ValueCountFrequency (%)
2014 51
28.2%
2015 14
 
7.7%
2016 6
 
3.3%
2017 13
 
7.2%
2018 50
27.6%
2019 47
26.0%
ValueCountFrequency (%)
2019 47
26.0%
2018 50
27.6%
2017 13
 
7.2%
2016 6
 
3.3%
2015 14
 
7.7%
2014 51
28.2%

연간발행호수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1104972
Minimum0
Maximum12
Zeros3
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:47.097071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median4
Q36
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1918212
Coefficient of variation (CV)0.62456177
Kurtosis0.63223532
Mean5.1104972
Median Absolute Deviation (MAD)0
Skewness1.327793
Sum925
Variance10.187723
MonotonicityNot monotonic
2023-12-13T05:24:47.243758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 93
51.4%
12 27
 
14.9%
2 19
 
10.5%
3 15
 
8.3%
6 13
 
7.2%
8 4
 
2.2%
0 3
 
1.7%
1 2
 
1.1%
7 2
 
1.1%
5 2
 
1.1%
ValueCountFrequency (%)
0 3
 
1.7%
1 2
 
1.1%
2 19
 
10.5%
3 15
 
8.3%
4 93
51.4%
5 2
 
1.1%
6 13
 
7.2%
7 2
 
1.1%
8 4
 
2.2%
10 1
 
0.6%
ValueCountFrequency (%)
12 27
 
14.9%
10 1
 
0.6%
8 4
 
2.2%
7 2
 
1.1%
6 13
 
7.2%
5 2
 
1.1%
4 93
51.4%
3 15
 
8.3%
2 19
 
10.5%
1 2
 
1.1%

소설_수록작품수(건)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.480663
Minimum0
Maximum168
Zeros81
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:47.404288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q320
95-th percentile44
Maximum168
Range168
Interquartile range (IQR)20

Descriptive statistics

Standard deviation27.286869
Coefficient of variation (CV)1.884366
Kurtosis17.192077
Mean14.480663
Median Absolute Deviation (MAD)4
Skewness3.8641923
Sum2621
Variance744.57324
MonotonicityNot monotonic
2023-12-13T05:24:47.618454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 81
44.8%
20 9
 
5.0%
10 6
 
3.3%
4 6
 
3.3%
23 4
 
2.2%
8 4
 
2.2%
15 4
 
2.2%
12 4
 
2.2%
24 4
 
2.2%
31 3
 
1.7%
Other values (35) 56
30.9%
ValueCountFrequency (%)
0 81
44.8%
1 2
 
1.1%
2 2
 
1.1%
3 1
 
0.6%
4 6
 
3.3%
5 3
 
1.7%
6 2
 
1.1%
7 2
 
1.1%
8 4
 
2.2%
10 6
 
3.3%
ValueCountFrequency (%)
168 1
0.6%
160 1
0.6%
157 1
0.6%
143 1
0.6%
138 1
0.6%
68 1
0.6%
66 1
0.6%
63 1
0.6%
59 1
0.6%
44 1
0.6%

시_수록작품수(건)
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.32597
Minimum0
Maximum597
Zeros65
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:47.830470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median42
Q3155
95-th percentile365
Maximum597
Range597
Interquartile range (IQR)155

Descriptive statistics

Standard deviation134.69743
Coefficient of variation (CV)1.3425979
Kurtosis2.7642588
Mean100.32597
Median Absolute Deviation (MAD)42
Skewness1.7170828
Sum18159
Variance18143.399
MonotonicityNot monotonic
2023-12-13T05:24:48.391466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
35.9%
12 6
 
3.3%
98 3
 
1.7%
36 2
 
1.1%
80 2
 
1.1%
65 2
 
1.1%
6 2
 
1.1%
104 2
 
1.1%
285 2
 
1.1%
155 2
 
1.1%
Other values (86) 93
51.4%
ValueCountFrequency (%)
0 65
35.9%
1 1
 
0.6%
4 1
 
0.6%
5 1
 
0.6%
6 2
 
1.1%
12 6
 
3.3%
14 1
 
0.6%
16 1
 
0.6%
19 1
 
0.6%
22 1
 
0.6%
ValueCountFrequency (%)
597 1
0.6%
593 1
0.6%
563 1
0.6%
545 1
0.6%
511 1
0.6%
492 1
0.6%
462 1
0.6%
440 1
0.6%
377 1
0.6%
365 1
0.6%

시조_수록작품수(건)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.856354
Minimum0
Maximum564
Zeros146
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:48.578675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile61
Maximum564
Range564
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.620573
Coefficient of variation (CV)4.3623605
Kurtosis29.075563
Mean19.856354
Median Absolute Deviation (MAD)0
Skewness5.4349063
Sum3594
Variance7503.1237
MonotonicityNot monotonic
2023-12-13T05:24:48.764144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 146
80.7%
14 2
 
1.1%
10 2
 
1.1%
48 2
 
1.1%
61 2
 
1.1%
17 2
 
1.1%
16 1
 
0.6%
7 1
 
0.6%
5 1
 
0.6%
1 1
 
0.6%
Other values (21) 21
 
11.6%
ValueCountFrequency (%)
0 146
80.7%
1 1
 
0.6%
3 1
 
0.6%
4 1
 
0.6%
5 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
10 2
 
1.1%
12 1
 
0.6%
ValueCountFrequency (%)
564 1
0.6%
538 1
0.6%
516 1
0.6%
497 1
0.6%
471 1
0.6%
207 1
0.6%
79 1
0.6%
67 1
0.6%
61 2
1.1%
58 1
0.6%

수필_수록작품수(건)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.497238
Minimum0
Maximum552
Zeros95
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:48.968623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile133
Maximum552
Range552
Interquartile range (IQR)20

Descriptive statistics

Standard deviation75.641745
Coefficient of variation (CV)2.5643671
Kurtosis20.758014
Mean29.497238
Median Absolute Deviation (MAD)0
Skewness4.2802178
Sum5339
Variance5721.6736
MonotonicityNot monotonic
2023-12-13T05:24:49.131285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
52.5%
8 5
 
2.8%
1 4
 
2.2%
20 4
 
2.2%
12 4
 
2.2%
13 3
 
1.7%
16 3
 
1.7%
25 3
 
1.7%
10 3
 
1.7%
49 3
 
1.7%
Other values (44) 54
29.8%
ValueCountFrequency (%)
0 95
52.5%
1 4
 
2.2%
2 2
 
1.1%
4 2
 
1.1%
5 1
 
0.6%
6 1
 
0.6%
8 5
 
2.8%
10 3
 
1.7%
11 1
 
0.6%
12 4
 
2.2%
ValueCountFrequency (%)
552 1
0.6%
421 1
0.6%
374 1
0.6%
326 1
0.6%
320 1
0.6%
316 1
0.6%
206 1
0.6%
161 1
0.6%
144 1
0.6%
133 1
0.6%

동시_수록작품수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.81768
Minimum0
Maximum266
Zeros137
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:49.320397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile131
Maximum266
Range266
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.932619
Coefficient of variation (CV)2.7312102
Kurtosis12.977607
Mean16.81768
Median Absolute Deviation (MAD)0
Skewness3.5178257
Sum3044
Variance2109.8055
MonotonicityNot monotonic
2023-12-13T05:24:49.535382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 137
75.7%
5 4
 
2.2%
10 4
 
2.2%
43 3
 
1.7%
61 3
 
1.7%
4 2
 
1.1%
40 2
 
1.1%
74 1
 
0.6%
131 1
 
0.6%
116 1
 
0.6%
Other values (23) 23
 
12.7%
ValueCountFrequency (%)
0 137
75.7%
4 2
 
1.1%
5 4
 
2.2%
6 1
 
0.6%
8 1
 
0.6%
10 4
 
2.2%
16 1
 
0.6%
22 1
 
0.6%
27 1
 
0.6%
30 1
 
0.6%
ValueCountFrequency (%)
266 1
0.6%
261 1
0.6%
226 1
0.6%
183 1
0.6%
175 1
0.6%
164 1
0.6%
153 1
0.6%
152 1
0.6%
140 1
0.6%
131 1
0.6%

동화_수록작품수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0773481
Minimum0
Maximum143
Zeros144
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:49.701170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile49
Maximum143
Range143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.826466
Coefficient of variation (CV)2.9332639
Kurtosis22.984814
Mean6.0773481
Median Absolute Deviation (MAD)0
Skewness4.2530498
Sum1100
Variance317.78287
MonotonicityNot monotonic
2023-12-13T05:24:49.893027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 144
79.6%
2 3
 
1.7%
1 3
 
1.7%
14 3
 
1.7%
25 2
 
1.1%
16 2
 
1.1%
7 2
 
1.1%
24 1
 
0.6%
28 1
 
0.6%
50 1
 
0.6%
Other values (19) 19
 
10.5%
ValueCountFrequency (%)
0 144
79.6%
1 3
 
1.7%
2 3
 
1.7%
6 1
 
0.6%
7 2
 
1.1%
9 1
 
0.6%
11 1
 
0.6%
12 1
 
0.6%
14 3
 
1.7%
15 1
 
0.6%
ValueCountFrequency (%)
143 1
0.6%
91 1
0.6%
63 1
0.6%
58 1
0.6%
57 1
0.6%
56 1
0.6%
55 1
0.6%
54 1
0.6%
50 1
0.6%
49 1
0.6%

평론_수록작품수(건)
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.486188
Minimum0
Maximum153
Zeros27
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:50.085759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median20
Q338
95-th percentile73
Maximum153
Range153
Interquartile range (IQR)29

Descriptive statistics

Standard deviation25.485422
Coefficient of variation (CV)0.96221557
Kurtosis4.3727056
Mean26.486188
Median Absolute Deviation (MAD)13
Skewness1.7455147
Sum4794
Variance649.50675
MonotonicityNot monotonic
2023-12-13T05:24:50.283800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
14.9%
20 8
 
4.4%
24 7
 
3.9%
19 6
 
3.3%
12 5
 
2.8%
6 5
 
2.8%
18 5
 
2.8%
51 4
 
2.2%
16 4
 
2.2%
9 4
 
2.2%
Other values (58) 106
58.6%
ValueCountFrequency (%)
0 27
14.9%
2 1
 
0.6%
3 1
 
0.6%
4 4
 
2.2%
5 2
 
1.1%
6 5
 
2.8%
7 3
 
1.7%
8 2
 
1.1%
9 4
 
2.2%
10 4
 
2.2%
ValueCountFrequency (%)
153 1
0.6%
122 1
0.6%
115 1
0.6%
108 1
0.6%
89 1
0.6%
88 1
0.6%
79 1
0.6%
76 1
0.6%
73 2
1.1%
70 2
1.1%

희곡_수록작품수(건)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69060773
Minimum0
Maximum21
Zeros162
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:50.455706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.050204
Coefficient of variation (CV)4.4166954
Kurtosis31.959964
Mean0.69060773
Median Absolute Deviation (MAD)0
Skewness5.5771341
Sum125
Variance9.3037446
MonotonicityNot monotonic
2023-12-13T05:24:50.581597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 162
89.5%
1 6
 
3.3%
4 3
 
1.7%
3 3
 
1.7%
5 2
 
1.1%
20 2
 
1.1%
10 1
 
0.6%
17 1
 
0.6%
21 1
 
0.6%
ValueCountFrequency (%)
0 162
89.5%
1 6
 
3.3%
3 3
 
1.7%
4 3
 
1.7%
5 2
 
1.1%
10 1
 
0.6%
17 1
 
0.6%
20 2
 
1.1%
21 1
 
0.6%
ValueCountFrequency (%)
21 1
 
0.6%
20 2
 
1.1%
17 1
 
0.6%
10 1
 
0.6%
5 2
 
1.1%
4 3
 
1.7%
3 3
 
1.7%
1 6
 
3.3%
0 162
89.5%

기타_수록작품수(건)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.563536
Minimum0
Maximum1124
Zeros69
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:50.730139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q325
95-th percentile67
Maximum1124
Range1124
Interquartile range (IQR)25

Descriptive statistics

Standard deviation85.827687
Coefficient of variation (CV)3.8038225
Kurtosis152.77787
Mean22.563536
Median Absolute Deviation (MAD)6
Skewness11.903506
Sum4084
Variance7366.3918
MonotonicityNot monotonic
2023-12-13T05:24:50.882791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
38.1%
5 6
 
3.3%
10 5
 
2.8%
4 5
 
2.8%
1 5
 
2.8%
13 4
 
2.2%
3 4
 
2.2%
12 4
 
2.2%
7 4
 
2.2%
17 4
 
2.2%
Other values (45) 71
39.2%
ValueCountFrequency (%)
0 69
38.1%
1 5
 
2.8%
2 1
 
0.6%
3 4
 
2.2%
4 5
 
2.8%
5 6
 
3.3%
6 2
 
1.1%
7 4
 
2.2%
8 4
 
2.2%
9 2
 
1.1%
ValueCountFrequency (%)
1124 1
0.6%
132 1
0.6%
116 1
0.6%
111 1
0.6%
90 1
0.6%
83 1
0.6%
79 2
1.1%
75 1
0.6%
67 2
1.1%
66 1
0.6%

원고료지급총창작자수(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct96
Distinct (%)87.3%
Missing71
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean176.28182
Minimum12
Maximum689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:51.051298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile37.45
Q188.25
median147
Q3218.5
95-th percentile401.95
Maximum689
Range677
Interquartile range (IQR)130.25

Descriptive statistics

Standard deviation124.64394
Coefficient of variation (CV)0.70707203
Kurtosis2.2544801
Mean176.28182
Median Absolute Deviation (MAD)63.5
Skewness1.3797485
Sum19391
Variance15536.113
MonotonicityNot monotonic
2023-12-13T05:24:51.243469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 4
 
2.2%
135 3
 
1.7%
163 3
 
1.7%
112 3
 
1.7%
46 2
 
1.1%
133 2
 
1.1%
89 2
 
1.1%
197 2
 
1.1%
40 2
 
1.1%
33 1
 
0.6%
Other values (86) 86
47.5%
(Missing) 71
39.2%
ValueCountFrequency (%)
12 1
0.6%
18 1
0.6%
20 1
0.6%
25 1
0.6%
33 1
0.6%
37 1
0.6%
38 1
0.6%
40 2
1.1%
41 1
0.6%
45 1
0.6%
ValueCountFrequency (%)
689 1
0.6%
523 1
0.6%
501 1
0.6%
469 1
0.6%
456 1
0.6%
406 1
0.6%
397 1
0.6%
391 1
0.6%
383 1
0.6%
372 1
0.6%

원고료지급보조금창작자수(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct87
Distinct (%)79.1%
Missing71
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean133
Minimum14
Maximum456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T05:24:51.418697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18
Q149
median98.5
Q3163.75
95-th percentile397.55
Maximum456
Range442
Interquartile range (IQR)114.75

Descriptive statistics

Standard deviation116.32168
Coefficient of variation (CV)0.87459912
Kurtosis0.72197787
Mean133
Median Absolute Deviation (MAD)51
Skewness1.2944833
Sum14630
Variance13530.734
MonotonicityNot monotonic
2023-12-13T05:24:51.561210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 3
 
1.7%
16 3
 
1.7%
18 3
 
1.7%
20 3
 
1.7%
48 3
 
1.7%
73 2
 
1.1%
110 2
 
1.1%
79 2
 
1.1%
56 2
 
1.1%
94 2
 
1.1%
Other values (77) 85
47.0%
(Missing) 71
39.2%
ValueCountFrequency (%)
14 1
 
0.6%
16 3
1.7%
17 1
 
0.6%
18 3
1.7%
19 1
 
0.6%
20 3
1.7%
21 1
 
0.6%
22 1
 
0.6%
24 1
 
0.6%
25 1
 
0.6%
ValueCountFrequency (%)
456 1
0.6%
447 1
0.6%
435 1
0.6%
417 1
0.6%
406 1
0.6%
398 1
0.6%
397 1
0.6%
383 1
0.6%
366 1
0.6%
360 1
0.6%

Interactions

2023-12-13T05:24:43.948094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:26.253923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.942196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.413700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.913566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.341141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:33.555427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.272216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.733959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.462523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.932826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.437548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.528720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.065844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:26.345356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.081094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.528721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.033103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.426151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:33.675154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.406257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.839582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.589674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.026154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.522636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.642914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.206836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:26.443117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.223747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.637897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.148226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.521478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.098395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.509743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.950957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.698172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.143792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.612391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.738498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.324452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:26.536632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.343459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.755664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.278835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.629261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.222061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.644108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:37.099364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.836308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.236606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.698662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.853478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.426131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:26.625140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.448710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.865468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.386135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.717043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.320888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.763340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:37.285374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.956216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.360311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.774805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.945460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.531988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:26.712402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.558209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.965613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.486461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.797598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.424198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.874705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:37.406704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.084042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.469651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.846738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.064286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.622211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.137578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.652572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.085365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.579205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.888858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.526667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.993251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:37.528235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.200806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.553285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.917495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.156739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.735980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.229470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.750328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.194870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.689460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.988815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.632138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.093795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:37.673848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.307716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.641087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.005530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.246509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.849704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.344195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.864569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.323522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.816502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:33.098017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.751000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.197212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:37.824069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.440191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.736073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.091887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.364473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:44.958081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.459625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:28.985730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.450456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:31.924597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:33.192505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.858343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.326379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:37.965735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.553201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.840608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.187971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.491630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:45.122788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.572409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.080518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.577839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.017997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:33.275292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:34.949271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.412239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.081161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.656895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:40.914040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.264511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.603013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:45.226319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.692611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.195110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.680615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.144126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:33.358013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.051781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.511476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.201744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.754019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.251175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.345568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.717935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:45.346727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:27.822560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:29.317794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:30.811100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:32.258386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:33.452755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:35.161376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:36.619553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:38.330201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:39.853003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:41.340992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:42.446410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:24:43.835226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:24:51.690792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문학단체명사업연도연간발행호수소설_수록작품수(건)시_수록작품수(건)시조_수록작품수(건)수필_수록작품수(건)동시_수록작품수(건)동화_수록작품수(건)평론_수록작품수(건)희곡_수록작품수(건)기타_수록작품수(건)원고료지급총창작자수(명)원고료지급보조금창작자수(명)
문학단체명1.0000.0000.5420.0000.8210.8680.0000.6340.0000.8520.0000.0000.0000.000
사업연도0.0001.0000.3170.2350.5670.0550.3440.2200.2230.1570.2590.1410.0000.047
연간발행호수0.5420.3171.0000.3670.4630.0450.4250.3720.3450.2460.2410.0000.5620.532
소설_수록작품수(건)0.0000.2350.3671.0000.5100.3040.5560.1300.4110.0000.4860.0000.4490.000
시_수록작품수(건)0.8210.5670.4630.5101.0000.3000.5410.2380.3870.5820.6010.0000.5590.609
시조_수록작품수(건)0.8680.0550.0450.3040.3001.0000.3350.0830.3590.0000.3330.0000.5550.044
수필_수록작품수(건)0.0000.3440.4250.5560.5410.3351.0000.5010.4730.0000.7690.0000.6140.819
동시_수록작품수(건)0.6340.2200.3720.1300.2380.0830.5011.0000.8660.0000.5600.0000.4510.662
동화_수록작품수(건)0.0000.2230.3450.4110.3870.3590.4730.8661.0000.0000.5460.0000.5360.698
평론_수록작품수(건)0.8520.1570.2460.0000.5820.0000.0000.0000.0001.0000.0000.0000.2510.294
희곡_수록작품수(건)0.0000.2590.2410.4860.6010.3330.7690.5600.5460.0001.0000.0000.4980.565
기타_수록작품수(건)0.0000.1410.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.000
원고료지급총창작자수(명)0.0000.0000.5620.4490.5590.5550.6140.4510.5360.2510.4980.0001.0000.857
원고료지급보조금창작자수(명)0.0000.0470.5320.0000.6090.0440.8190.6620.6980.2940.5650.0000.8571.000
2023-12-13T05:24:51.883075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업연도연간발행호수소설_수록작품수(건)시_수록작품수(건)시조_수록작품수(건)수필_수록작품수(건)동시_수록작품수(건)동화_수록작품수(건)평론_수록작품수(건)희곡_수록작품수(건)기타_수록작품수(건)원고료지급총창작자수(명)원고료지급보조금창작자수(명)
사업연도1.000-0.0580.008-0.1440.033-0.096-0.0040.014-0.052-0.108-0.1330.039-0.063
연간발행호수-0.0581.0000.2380.3900.1400.4900.1730.1370.1730.1530.2040.7040.559
소설_수록작품수(건)0.0080.2381.0000.344-0.1010.2670.0240.044-0.0980.2150.138-0.042-0.272
시_수록작품수(건)-0.1440.3900.3441.0000.1380.3420.029-0.0560.2010.1500.2240.2350.067
시조_수록작품수(건)0.0330.140-0.1010.1381.0000.1750.2000.196-0.1340.123-0.0180.2180.267
수필_수록작품수(건)-0.0960.4900.2670.3420.1751.0000.1210.0780.0360.1790.2230.3130.177
동시_수록작품수(건)-0.0040.1730.0240.0290.2000.1211.0000.800-0.1530.2620.1660.3480.430
동화_수록작품수(건)0.0140.1370.044-0.0560.1960.0780.8001.000-0.1970.2810.1390.2870.417
평론_수록작품수(건)-0.0520.173-0.0980.201-0.1340.036-0.153-0.1971.000-0.1280.038-0.134-0.153
희곡_수록작품수(건)-0.1080.1530.2150.1500.1230.1790.2620.281-0.1281.0000.0580.097-0.004
기타_수록작품수(건)-0.1330.2040.1380.224-0.0180.2230.1660.1390.0380.0581.0000.1460.065
원고료지급총창작자수(명)0.0390.704-0.0420.2350.2180.3130.3480.287-0.1340.0970.1461.0000.765
원고료지급보조금창작자수(명)-0.0630.559-0.2720.0670.2670.1770.4300.417-0.153-0.0040.0650.7651.000

Missing values

2023-12-13T05:24:45.500872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:24:45.753705image/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.
2023-12-13T05:24:45.925403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

문학단체명사업연도연간발행호수소설_수록작품수(건)시_수록작품수(건)시조_수록작품수(건)수필_수록작품수(건)동시_수록작품수(건)동화_수록작품수(건)평론_수록작품수(건)희곡_수록작품수(건)기타_수록작품수(건)원고료지급총창작자수(명)원고료지급보조금창작자수(명)
0*제**부20146631740161362414413<NA><NA>
1*국**회2014125951179206613110101<NA><NA>
2*1**학201442083000026013<NA><NA>
3*학**네20144298101510052010<NA><NA>
4*학**상20141224132121250068079<NA><NA>
5*음**사20144196200005207<NA><NA>
6*천**학201441390000019079<NA><NA>
7*행**사201442287061002200<NA><NA>
8*년**작201440273000032030<NA><NA>
9*간**선20144718800003808<NA><NA>
문학단체명사업연도연간발행호수소설_수록작품수(건)시_수록작품수(건)시조_수록작품수(건)수필_수록작품수(건)동시_수록작품수(건)동화_수록작품수(건)평론_수록작품수(건)희곡_수록작품수(건)기타_수록작품수(건)원고료지급총창작자수(명)원고료지급보조금창작자수(명)
171*서**망201940206040002000163110
172*와**시201940252049000051183130
173*국**회20194230000000345353
174*시**아201941634000019003329
175*국**회20198000000000501447
176*행**사201963529045007001819720
177*국**연20191204920240011504391317
178*대**학2019123718401190040012300129
179*국**회201960015004920018360360
180*천**학201941470000012008078