Overview

Dataset statistics

Number of variables3
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory886.0 B
Average record size in memory30.6 B

Variable types

Categorical1
Numeric2

Dataset

Description2014-2019년 문예진흥기금 공모사업 중 문학 분야 "집필공간운영" 지원 사업의 언론보도 실적
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076490/fileData.do

Alerts

언론보도실적(건) has 2 (6.9%) zerosZeros

Reproduction

Analysis started2023-12-12 06:29:28.498321
Analysis finished2023-12-12 06:29:29.140531
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문학단체명
Categorical

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
*을**집
6 
*지**단
6 
*1**학
5 
*악**원
4 
*날**날
4 
Other values (2)
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row*악**원
2nd row*을**집
3rd row*1**학
4th row*지**단
5th row*날**날

Common Values

ValueCountFrequency (%)
*을**집 6
20.7%
*지**단 6
20.7%
*1**학 5
17.2%
*악**원 4
13.8%
*날**날 4
13.8%
*버**집 3
10.3%
*산**꽃 1
 
3.4%

Length

2023-12-12T15:29:29.201451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:29.357232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
을**집 6
20.7%
지**단 6
20.7%
1**학 5
17.2%
악**원 4
13.8%
날**날 4
13.8%
버**집 3
10.3%
산**꽃 1
 
3.4%

사업연도
Real number (ℝ)

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.4483
Minimum2014
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T15:29:29.540228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12015
median2016
Q32018
95-th percentile2019
Maximum2019
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.660168
Coefficient of variation (CV)0.00082331294
Kurtosis-1.1983475
Mean2016.4483
Median Absolute Deviation (MAD)1
Skewness0.072131122
Sum58477
Variance2.7561576
MonotonicityIncreasing
2023-12-12T15:29:29.704412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2015 6
20.7%
2016 5
17.2%
2017 5
17.2%
2018 5
17.2%
2014 4
13.8%
2019 4
13.8%
ValueCountFrequency (%)
2014 4
13.8%
2015 6
20.7%
2016 5
17.2%
2017 5
17.2%
2018 5
17.2%
2019 4
13.8%
ValueCountFrequency (%)
2019 4
13.8%
2018 5
17.2%
2017 5
17.2%
2016 5
17.2%
2015 6
20.7%
2014 4
13.8%

언론보도실적(건)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7586207
Minimum0
Maximum24
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T15:29:29.848378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q11
median3
Q311
95-th percentile22.2
Maximum24
Range24
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.3710591
Coefficient of variation (CV)1.0906159
Kurtosis0.3755792
Mean6.7586207
Median Absolute Deviation (MAD)2
Skewness1.2468063
Sum196
Variance54.332512
MonotonicityNot monotonic
2023-12-12T15:29:29.987393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 7
24.1%
3 4
13.8%
5 3
10.3%
13 3
10.3%
2 2
 
6.9%
0 2
 
6.9%
21 1
 
3.4%
7 1
 
3.4%
9 1
 
3.4%
4 1
 
3.4%
Other values (4) 4
13.8%
ValueCountFrequency (%)
0 2
 
6.9%
1 7
24.1%
2 2
 
6.9%
3 4
13.8%
4 1
 
3.4%
5 3
10.3%
7 1
 
3.4%
9 1
 
3.4%
11 1
 
3.4%
13 3
10.3%
ValueCountFrequency (%)
24 1
 
3.4%
23 1
 
3.4%
21 1
 
3.4%
20 1
 
3.4%
13 3
10.3%
11 1
 
3.4%
9 1
 
3.4%
7 1
 
3.4%
5 3
10.3%
4 1
 
3.4%

Interactions

2023-12-12T15:29:28.822978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:28.614094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:28.931643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:28.717072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:29:30.099901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문학단체명사업연도언론보도실적(건)
문학단체명1.0000.0000.678
사업연도0.0001.0000.148
언론보도실적(건)0.6780.1481.000
2023-12-12T15:29:30.214488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업연도언론보도실적(건)문학단체명
사업연도1.000-0.1850.000
언론보도실적(건)-0.1851.0000.428
문학단체명0.0000.4281.000

Missing values

2023-12-12T15:29:29.037205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:29.112394image/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

문학단체명사업연도언론보도실적(건)
0*악**원20145
1*을**집20143
2*1**학20142
3*지**단20145
4*날**날201521
5*악**원20157
6*산**꽃201513
7*을**집20151
8*1**학20151
9*지**단201513
문학단체명사업연도언론보도실적(건)
19*을**집20171
20*버**집20181
21*날**날201820
22*을**집20180
23*1**학201811
24*지**단20185
25*을**집20192
26*지**단201913
27*버**집20191
28*악**원20191