Overview

Dataset statistics

Number of variables3
Number of observations29
Missing cells15
Missing cells (%)17.2%
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 국고보조금 현황(단위: 원)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076479/fileData.do

Alerts

국고보조금(원) has 15 (51.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:49:06.136324
Analysis finished2023-12-12 15:49:06.972726
Duration0.84 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

2023-12-13T00:49:07.063078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:49:07.255343image/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
2023-12-13T00:49:07.429536image/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
2023-12-13T00:49:07.590541image/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%

국고보조금(원)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing15
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean47428571
Minimum30000000
Maximum86000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T00:49:07.747028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000000
5-th percentile30000000
Q133000000
median40500000
Q347500000
95-th percentile84700000
Maximum86000000
Range56000000
Interquartile range (IQR)14500000

Descriptive statistics

Standard deviation20121608
Coefficient of variation (CV)0.42425078
Kurtosis0.13637853
Mean47428571
Median Absolute Deviation (MAD)8000000
Skewness1.2826957
Sum6.64 × 108
Variance4.0487912 × 1014
MonotonicityNot monotonic
2023-12-13T00:49:07.906062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
30000000 2
 
6.9%
32000000 2
 
6.9%
36000000 1
 
3.4%
79000000 1
 
3.4%
43000000 1
 
3.4%
37000000 1
 
3.4%
48000000 1
 
3.4%
40000000 1
 
3.4%
41000000 1
 
3.4%
84000000 1
 
3.4%
Other values (2) 2
 
6.9%
(Missing) 15
51.7%
ValueCountFrequency (%)
30000000 2
6.9%
32000000 2
6.9%
36000000 1
3.4%
37000000 1
3.4%
40000000 1
3.4%
41000000 1
3.4%
43000000 1
3.4%
46000000 1
3.4%
48000000 1
3.4%
79000000 1
3.4%
ValueCountFrequency (%)
86000000 1
3.4%
84000000 1
3.4%
79000000 1
3.4%
48000000 1
3.4%
46000000 1
3.4%
43000000 1
3.4%
41000000 1
3.4%
40000000 1
3.4%
37000000 1
3.4%
36000000 1
3.4%

Interactions

2023-12-13T00:49:06.495671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:49:06.241941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:49:06.641657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:49:06.354551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:49:08.022748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문학단체명사업연도국고보조금(원)
문학단체명1.0000.0000.537
사업연도0.0001.0000.000
국고보조금(원)0.5370.0001.000
2023-12-13T00:49:08.140375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업연도국고보조금(원)문학단체명
사업연도1.0000.1310.000
국고보조금(원)0.1311.0000.326
문학단체명0.0000.3261.000

Missing values

2023-12-13T00:49:06.805656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:49:06.923800image/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

문학단체명사업연도국고보조금(원)
0*악**원2014<NA>
1*을**집2014<NA>
2*1**학2014<NA>
3*지**단2014<NA>
4*날**날2015<NA>
5*악**원2015<NA>
6*산**꽃2015<NA>
7*을**집2015<NA>
8*1**학2015<NA>
9*지**단2015<NA>
문학단체명사업연도국고보조금(원)
19*을**집201732000000
20*버**집201837000000
21*날**날201848000000
22*을**집201840000000
23*1**학201841000000
24*지**단201884000000
25*을**집201946000000
26*지**단201986000000
27*버**집201932000000
28*악**원201930000000