Overview

Dataset statistics

Number of variables3
Number of observations441
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory26.3 B

Variable types

Numeric1
Text1
Categorical1

Dataset

Description["이자내용 및 접수보증번호 순위 채권 정보가 포함된 데이터입니다. 한국주택금융공사에서 개방하는 공공데이터입니다."]
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15073143/fileData.do

Reproduction

Analysis started2023-12-12 22:21:17.691709
Analysis finished2023-12-12 22:21:18.049608
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수품의번호
Real number (ℝ)

Distinct392
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0173915 × 1010
Minimum2.00804 × 1010
Maximum2.02004 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T07:21:18.142505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.00804 × 1010
5-th percentile2.01304 × 1010
Q12.01604 × 1010
median2.01804 × 1010
Q32.01904 × 1010
95-th percentile2.02004 × 1010
Maximum2.02004 × 1010
Range1.200001 × 108
Interquartile range (IQR)30000051

Descriptive statistics

Standard deviation23924712
Coefficient of variation (CV)0.0011859231
Kurtosis0.39296792
Mean2.0173915 × 1010
Median Absolute Deviation (MAD)19999978
Skewness-0.92623897
Sum8.8966964 × 1012
Variance5.7239185 × 1014
MonotonicityNot monotonic
2023-12-13T07:21:18.337776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160400001 2
 
0.5%
20190400029 2
 
0.5%
20190400069 2
 
0.5%
20150400032 2
 
0.5%
20150400031 2
 
0.5%
20190400073 2
 
0.5%
20130400024 2
 
0.5%
20170400028 2
 
0.5%
20170400025 2
 
0.5%
20200400045 2
 
0.5%
Other values (382) 421
95.5%
ValueCountFrequency (%)
20080400001 1
0.2%
20100400002 1
0.2%
20100400004 2
0.5%
20100400005 1
0.2%
20100400006 1
0.2%
20110400001 1
0.2%
20110400003 1
0.2%
20120400001 1
0.2%
20120400002 1
0.2%
20120400003 1
0.2%
ValueCountFrequency (%)
20200400096 1
0.2%
20200400095 1
0.2%
20200400094 1
0.2%
20200400093 1
0.2%
20200400092 1
0.2%
20200400090 1
0.2%
20200400089 1
0.2%
20200400088 2
0.5%
20200400087 1
0.2%
20200400086 1
0.2%

보증번호
Text

Distinct390
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-13T07:21:18.576474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters6174
Distinct characters24
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)77.3%

Sample

1st rowRTPA2016000596
2nd rowRTHO2010000012
3rd rowRTBA2017000881
4th rowRTPA2013000119
5th rowRQAD2016000534
ValueCountFrequency (%)
rtma2012000030 3
 
0.7%
rtpa2011000133 3
 
0.7%
rtab2013000420 2
 
0.5%
rqad2008000186 2
 
0.5%
rtac2012000056 2
 
0.5%
rtpa2013000234 2
 
0.5%
rtaa2012001044 2
 
0.5%
rtab2011000323 2
 
0.5%
rqad2008000046 2
 
0.5%
rtaa2010000351 2
 
0.5%
Other values (380) 419
95.0%
2023-12-13T07:21:19.019094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2173
35.2%
2 646
 
10.5%
1 602
 
9.8%
R 441
 
7.1%
A 419
 
6.8%
T 358
 
5.8%
3 188
 
3.0%
4 167
 
2.7%
5 143
 
2.3%
7 129
 
2.1%
Other values (14) 908
14.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4410
71.4%
Uppercase Letter 1764
 
28.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 441
25.0%
A 419
23.8%
T 358
20.3%
B 125
 
7.1%
Q 98
 
5.6%
D 87
 
4.9%
H 87
 
4.9%
O 55
 
3.1%
P 34
 
1.9%
M 22
 
1.2%
Other values (4) 38
 
2.2%
Decimal Number
ValueCountFrequency (%)
0 2173
49.3%
2 646
 
14.6%
1 602
 
13.7%
3 188
 
4.3%
4 167
 
3.8%
5 143
 
3.2%
7 129
 
2.9%
9 126
 
2.9%
8 118
 
2.7%
6 118
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4410
71.4%
Latin 1764
 
28.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 441
25.0%
A 419
23.8%
T 358
20.3%
B 125
 
7.1%
Q 98
 
5.6%
D 87
 
4.9%
H 87
 
4.9%
O 55
 
3.1%
P 34
 
1.9%
M 22
 
1.2%
Other values (4) 38
 
2.2%
Common
ValueCountFrequency (%)
0 2173
49.3%
2 646
 
14.6%
1 602
 
13.7%
3 188
 
4.3%
4 167
 
3.8%
5 143
 
3.2%
7 129
 
2.9%
9 126
 
2.9%
8 118
 
2.7%
6 118
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2173
35.2%
2 646
 
10.5%
1 602
 
9.8%
R 441
 
7.1%
A 419
 
6.8%
T 358
 
5.8%
3 188
 
3.0%
4 167
 
2.7%
5 143
 
2.3%
7 129
 
2.1%
Other values (14) 908
14.7%

이자내용순번
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
1
392 
2
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 392
88.9%
2 49
 
11.1%

Length

2023-12-13T07:21:19.182554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:21:19.387517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 392
88.9%
2 49
 
11.1%

Interactions

2023-12-13T07:21:17.797314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:21:19.477512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수품의번호이자내용순번
접수품의번호1.0000.000
이자내용순번0.0001.000
2023-12-13T07:21:19.606051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수품의번호이자내용순번
접수품의번호1.0000.000
이자내용순번0.0001.000

Missing values

2023-12-13T07:21:17.931468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:21:18.019172image/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

접수품의번호보증번호이자내용순번
020200400096RTPA20160005961
120200400095RTHO20100000121
220200400094RTBA20170008811
320200400093RTPA20130001191
420200400092RQAD20160005341
520200400090RTAB20160007881
620200400088RQAD20100001752
720200400088RQAD20100001751
820200400087RTHA20170003501
920200400086RTAD20150000581
접수품의번호보증번호이자내용순번
43120120400001RTAA20080000871
43220110400003RQAD20100004171
43320120400006RTLA20100000361
43420100400005RTOA20070000091
43520100400004RTPA20090000272
43620100400004RTPA20090000271
43720080400001RTPA20070000181
43820100400006RTPA20080000081
43920100400002RTHO20080000391
44020110400001RQAD20070000901