Overview

Dataset statistics

Number of variables3
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory29.7 B

Variable types

Categorical1
Numeric2

Dataset

Description한국자산관리공사 공사채권의 인터넷 채무조정 실익분석 상담현황 데이터로 "상담년도","상담월","건수" 항목을 제공하고 있습니다.
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15095223/fileData.do

Alerts

건수 is highly overall correlated with 상담년도High correlation
상담년도 is highly overall correlated with 건수High correlation

Reproduction

Analysis started2023-12-12 12:55:06.152104
Analysis finished2023-12-12 12:55:06.806228
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상담년도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2018
14 
2020
12 
2021
12 
2019
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 14
28.6%
2020 12
24.5%
2021 12
24.5%
2019 11
22.4%

Length

2023-12-12T21:55:06.881435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:06.984167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 14
28.6%
2020 12
24.5%
2021 12
24.5%
2019 11
22.4%

상담월
Real number (ℝ)

Distinct12
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5102041
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T21:55:07.100796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q39
95-th percentile11.6
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4285714
Coefficient of variation (CV)0.52664577
Kurtosis-1.2052046
Mean6.5102041
Median Absolute Deviation (MAD)3
Skewness-0.048042796
Sum319
Variance11.755102
MonotonicityNot monotonic
2023-12-12T21:55:07.227298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 5
10.2%
11 5
10.2%
1 4
8.2%
2 4
8.2%
3 4
8.2%
4 4
8.2%
5 4
8.2%
6 4
8.2%
7 4
8.2%
9 4
8.2%
Other values (2) 7
14.3%
ValueCountFrequency (%)
1 4
8.2%
2 4
8.2%
3 4
8.2%
4 4
8.2%
5 4
8.2%
6 4
8.2%
7 4
8.2%
8 5
10.2%
9 4
8.2%
10 4
8.2%
ValueCountFrequency (%)
12 3
6.1%
11 5
10.2%
10 4
8.2%
9 4
8.2%
8 5
10.2%
7 4
8.2%
6 4
8.2%
5 4
8.2%
4 4
8.2%
3 4
8.2%

건수
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.428571
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T21:55:07.376611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q16
median13
Q324
95-th percentile46.6
Maximum56
Range55
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.244882
Coefficient of variation (CV)0.8173293
Kurtosis0.48591278
Mean17.428571
Median Absolute Deviation (MAD)9
Skewness1.0705294
Sum854
Variance202.91667
MonotonicityNot monotonic
2023-12-12T21:55:07.487096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4 4
 
8.2%
6 3
 
6.1%
3 3
 
6.1%
9 3
 
6.1%
30 2
 
4.1%
7 2
 
4.1%
12 2
 
4.1%
10 2
 
4.1%
1 2
 
4.1%
13 2
 
4.1%
Other values (20) 24
49.0%
ValueCountFrequency (%)
1 2
4.1%
2 1
 
2.0%
3 3
6.1%
4 4
8.2%
6 3
6.1%
7 2
4.1%
8 1
 
2.0%
9 3
6.1%
10 2
4.1%
11 1
 
2.0%
ValueCountFrequency (%)
56 1
2.0%
53 1
2.0%
47 1
2.0%
46 1
2.0%
40 1
2.0%
38 1
2.0%
34 1
2.0%
30 2
4.1%
29 1
2.0%
28 1
2.0%

Interactions

2023-12-12T21:55:06.438448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:06.237214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:06.525216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:06.331936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:55:07.575468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상담년도상담월건수
상담년도1.0000.0000.719
상담월0.0001.0000.402
건수0.7190.4021.000
2023-12-12T21:55:07.671192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상담월건수상담년도
상담월1.000-0.1030.000
건수-0.1031.0000.502
상담년도0.0000.5021.000

Missing values

2023-12-12T21:55:06.651554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:55:06.770622image/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

상담년도상담월건수
0201814
12018223
22018312
32018446
42018553
52018638
62018730
72018856
8201883
92018924
상담년도상담월건수
39202137
40202144
41202141
42202158
43202163
44202176
45202186
46202192
472021104
482021113