Overview

Dataset statistics

Number of variables4
Number of observations113
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory37.2 B

Variable types

Categorical1
Numeric3

Dataset

Description한국자산관리공사 공사채권의 이해관계인 사실확인서 발급현황 데이터로 "발급신청년도","발급신청월","발급신청일","건수" 항목을 제공하고 있습니다.
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15095219/fileData.do

Alerts

발급신청년도 has constant value ""Constant

Reproduction

Analysis started2023-12-12 02:11:52.696480
Analysis finished2023-12-12 02:11:53.914259
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발급신청년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2020
113 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 113
100.0%

Length

2023-12-12T11:11:53.978944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:11:54.079811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 113
100.0%

발급신청월
Real number (ℝ)

Distinct12
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2566372
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T11:11:54.172161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile10.4
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9933819
Coefficient of variation (CV)0.56944807
Kurtosis-0.85298954
Mean5.2566372
Median Absolute Deviation (MAD)2
Skewness0.3166666
Sum594
Variance8.960335
MonotonicityIncreasing
2023-12-12T11:11:54.308849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 14
12.4%
1 13
11.5%
5 13
11.5%
2 12
10.6%
7 12
10.6%
8 12
10.6%
4 11
9.7%
6 9
8.0%
9 6
5.3%
10 5
 
4.4%
Other values (2) 6
5.3%
ValueCountFrequency (%)
1 13
11.5%
2 12
10.6%
3 14
12.4%
4 11
9.7%
5 13
11.5%
6 9
8.0%
7 12
10.6%
8 12
10.6%
9 6
5.3%
10 5
 
4.4%
ValueCountFrequency (%)
12 2
 
1.8%
11 4
 
3.5%
10 5
 
4.4%
9 6
5.3%
8 12
10.6%
7 12
10.6%
6 9
8.0%
5 13
11.5%
4 11
9.7%
3 14
12.4%

발급신청일
Real number (ℝ)

Distinct31
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.141593
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T11:11:54.482728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median16
Q322
95-th percentile29.4
Maximum31
Range30
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.5176993
Coefficient of variation (CV)0.52768641
Kurtosis-1.1495092
Mean16.141593
Median Absolute Deviation (MAD)7
Skewness0.062865025
Sum1824
Variance72.551201
MonotonicityNot monotonic
2023-12-12T11:11:54.683340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10 6
 
5.3%
18 6
 
5.3%
21 6
 
5.3%
22 6
 
5.3%
28 6
 
5.3%
6 5
 
4.4%
14 5
 
4.4%
17 5
 
4.4%
7 4
 
3.5%
3 4
 
3.5%
Other values (21) 60
53.1%
ValueCountFrequency (%)
1 1
 
0.9%
2 2
 
1.8%
3 4
3.5%
4 3
2.7%
5 4
3.5%
6 5
4.4%
7 4
3.5%
8 4
3.5%
9 4
3.5%
10 6
5.3%
ValueCountFrequency (%)
31 4
3.5%
30 2
 
1.8%
29 3
2.7%
28 6
5.3%
27 3
2.7%
26 3
2.7%
25 2
 
1.8%
24 4
3.5%
23 1
 
0.9%
22 6
5.3%

건수
Real number (ℝ)

Distinct12
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7433628
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T11:11:54.824625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8.8
Maximum17
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9055942
Coefficient of variation (CV)1.059136
Kurtosis7.3453021
Mean2.7433628
Median Absolute Deviation (MAD)1
Skewness2.5407429
Sum310
Variance8.4424779
MonotonicityNot monotonic
2023-12-12T11:11:54.965835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 55
48.7%
2 24
21.2%
3 7
 
6.2%
6 7
 
6.2%
5 6
 
5.3%
4 6
 
5.3%
10 2
 
1.8%
13 2
 
1.8%
12 1
 
0.9%
17 1
 
0.9%
Other values (2) 2
 
1.8%
ValueCountFrequency (%)
1 55
48.7%
2 24
21.2%
3 7
 
6.2%
4 6
 
5.3%
5 6
 
5.3%
6 7
 
6.2%
7 1
 
0.9%
8 1
 
0.9%
10 2
 
1.8%
12 1
 
0.9%
ValueCountFrequency (%)
17 1
 
0.9%
13 2
 
1.8%
12 1
 
0.9%
10 2
 
1.8%
8 1
 
0.9%
7 1
 
0.9%
6 7
6.2%
5 6
5.3%
4 6
5.3%
3 7
6.2%

Interactions

2023-12-12T11:11:53.408859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:52.788517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:53.086393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:53.509332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:52.893993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:53.184076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:53.604049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:52.983511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:53.291298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:11:55.083445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발급신청월발급신청일건수
발급신청월1.0000.0000.000
발급신청일0.0001.0000.000
건수0.0000.0001.000
2023-12-12T11:11:55.189163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발급신청월발급신청일건수
발급신청월1.000-0.025-0.293
발급신청일-0.0251.0000.055
건수-0.2930.0551.000

Missing values

2023-12-12T11:11:53.774579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:11:53.880522image/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

발급신청년도발급신청월발급신청일건수
02020171
12020182
22020193
320201102
420201131
520201141
620201151
720201162
820201216
920201226
발급신청년도발급신청월발급신청일건수
103202010211
104202010221
105202010283
106202010305
10720201131
108202011172
109202011181
110202011261
11120201221
112202012221