Overview

Dataset statistics

Number of variables3
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory753.0 B
Average record size in memory32.7 B

Variable types

Categorical1
Numeric2

Dataset

Description한국자산관리공사 공사채권 전표발생 월별 회수처리 현황("전표발생년도","전표발생월","처리건수") 데이터 제공
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15074402/fileData.do

Alerts

전표발생년도 has constant value ""Constant

Reproduction

Analysis started2023-12-11 23:09:16.017671
Analysis finished2023-12-11 23:09:16.585683
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전표발생년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2014
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014
2nd row2014
3rd row2014
4th row2014
5th row2014

Common Values

ValueCountFrequency (%)
2014 23
100.0%

Length

2023-12-12T08:09:16.643066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:09:16.732921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014 23
100.0%

전표발생월
Real number (ℝ)

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6956522
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T08:09:16.813307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q14
median7
Q39.5
95-th percentile11.9
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.469802
Coefficient of variation (CV)0.51821718
Kurtosis-1.1256236
Mean6.6956522
Median Absolute Deviation (MAD)3
Skewness-0.076882405
Sum154
Variance12.039526
MonotonicityNot monotonic
2023-12-12T08:09:16.941650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2
8.7%
3 2
8.7%
4 2
8.7%
5 2
8.7%
6 2
8.7%
7 2
8.7%
8 2
8.7%
9 2
8.7%
10 2
8.7%
11 2
8.7%
Other values (2) 3
13.0%
ValueCountFrequency (%)
1 2
8.7%
2 1
4.3%
3 2
8.7%
4 2
8.7%
5 2
8.7%
6 2
8.7%
7 2
8.7%
8 2
8.7%
9 2
8.7%
10 2
8.7%
ValueCountFrequency (%)
12 2
8.7%
11 2
8.7%
10 2
8.7%
9 2
8.7%
8 2
8.7%
7 2
8.7%
6 2
8.7%
5 2
8.7%
4 2
8.7%
3 2
8.7%

처리건수
Real number (ℝ)

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean943.30435
Minimum1
Maximum2935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T08:09:17.046800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median994
Q31685.5
95-th percentile2163.6
Maximum2935
Range2934
Interquartile range (IQR)1682

Descriptive statistics

Standard deviation978.98187
Coefficient of variation (CV)1.0378219
Kurtosis-1.4103206
Mean943.30435
Median Absolute Deviation (MAD)990
Skewness0.308842
Sum21696
Variance958405.49
MonotonicityNot monotonic
2023-12-12T08:09:17.152528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 3
 
13.0%
4 3
 
13.0%
3 2
 
8.7%
2 1
 
4.3%
1543 1
 
4.3%
2133 1
 
4.3%
1844 1
 
4.3%
1949 1
 
4.3%
2167 1
 
4.3%
1594 1
 
4.3%
Other values (8) 8
34.8%
ValueCountFrequency (%)
1 3
13.0%
2 1
 
4.3%
3 2
8.7%
4 3
13.0%
6 1
 
4.3%
7 1
 
4.3%
994 1
 
4.3%
1534 1
 
4.3%
1543 1
 
4.3%
1594 1
 
4.3%
ValueCountFrequency (%)
2935 1
4.3%
2167 1
4.3%
2133 1
4.3%
1949 1
4.3%
1844 1
4.3%
1690 1
4.3%
1681 1
4.3%
1596 1
4.3%
1594 1
4.3%
1543 1
4.3%

Interactions

2023-12-12T08:09:16.251652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:09:16.078704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:09:16.350999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:09:16.158104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:09:17.250914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전표발생월처리건수
전표발생월1.0000.000
처리건수0.0001.000
2023-12-12T08:09:17.353674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전표발생월처리건수
전표발생월1.0000.057
처리건수0.0571.000

Missing values

2023-12-12T08:09:16.463907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:09:16.552595image/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

전표발생년도전표발생월처리건수
0201412
1201433
2201441
3201456
4201467
5201473
6201484
7201494
82014104
92014111
전표발생년도전표발생월처리건수
13201431534
14201441596
15201451690
16201461543
17201471681
18201481594
19201492167
202014101949
212014111844
222014122133