Overview

Dataset statistics

Number of variables3
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory808.0 B
Average record size in memory31.1 B

Variable types

Numeric1
Categorical2

Dataset

Description가축분뇨 전자인계관리시스템 내에서 관리하고 있는 정보 중에 인증서 발급 관리에 대한 내용을 관리하고 있는 정보 입니다.
Author한국환경공단
URLhttps://www.data.go.kr/data/15041914/fileData.do

Reproduction

Analysis started2023-12-12 23:33:41.980448
Analysis finished2023-12-12 23:33:42.276434
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체(개인)번호
Real number (ℝ)

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130774 × 109
Minimum2.0130003 × 109
Maximum2.014 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T08:33:42.332528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130003 × 109
5-th percentile2.0130004 × 109
Q12.0130004 × 109
median2.0130006 × 109
Q32.0130006 × 109
95-th percentile2.0137502 × 109
Maximum2.014 × 109
Range999685
Interquartile range (IQR)167.25

Descriptive statistics

Standard deviation271610.59
Coefficient of variation (CV)0.00013492308
Kurtosis10.156247
Mean2.0130774 × 109
Median Absolute Deviation (MAD)21.5
Skewness3.3732414
Sum5.2340012 × 1010
Variance7.3772315 × 1010
MonotonicityNot monotonic
2023-12-13T08:33:42.449476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2013000589 3
 
11.5%
2013000547 3
 
11.5%
2013000586 2
 
7.7%
2013000406 2
 
7.7%
2013000569 1
 
3.8%
2013000584 1
 
3.8%
2013000415 1
 
3.8%
2013000401 1
 
3.8%
2013000380 1
 
3.8%
2013000331 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
2013000331 1
 
3.8%
2013000380 1
 
3.8%
2013000384 1
 
3.8%
2013000401 1
 
3.8%
2013000406 2
7.7%
2013000415 1
 
3.8%
2013000430 1
 
3.8%
2013000547 3
11.5%
2013000569 1
 
3.8%
2013000571 1
 
3.8%
ValueCountFrequency (%)
2014000016 1
 
3.8%
2014000013 1
 
3.8%
2013000590 1
 
3.8%
2013000589 3
11.5%
2013000586 2
7.7%
2013000585 1
 
3.8%
2013000584 1
 
3.8%
2013000574 1
 
3.8%
2013000573 1
 
3.8%
2013000572 1
 
3.8%

순번
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
20 
2
4 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 20
76.9%
2 4
 
15.4%
3 2
 
7.7%

Length

2023-12-13T08:33:42.588486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:33:42.688002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
76.9%
2 4
 
15.4%
3 2
 
7.7%

인증서신청상태
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
I0
10 
R1
9 
R0
5 
<NA>
2 

Length

Max length4
Median length2
Mean length2.1538462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowR1
2nd rowR1
3rd rowI0
4th rowR0
5th rowR0

Common Values

ValueCountFrequency (%)
I0 10
38.5%
R1 9
34.6%
R0 5
19.2%
<NA> 2
 
7.7%

Length

2023-12-13T08:33:42.798919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:33:42.900727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i0 10
38.5%
r1 9
34.6%
r0 5
19.2%
na 2
 
7.7%

Interactions

2023-12-13T08:33:42.077142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:33:42.966585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체(개인)번호순번인증서신청상태
업체(개인)번호1.0000.0000.000
순번0.0001.0000.000
인증서신청상태0.0000.0001.000
2023-12-13T08:33:43.048620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증서신청상태순번
인증서신청상태1.0000.000
순번0.0001.000
2023-12-13T08:33:43.345214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체(개인)번호순번인증서신청상태
업체(개인)번호1.0000.0000.000
순번0.0001.0000.000
인증서신청상태0.0000.0001.000

Missing values

2023-12-13T08:33:42.183070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:33:42.249697image/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

업체(개인)번호순번인증서신청상태
020130005861R1
120130005851R1
220130005721I0
320130005893R0
420130005891R0
520130005892R1
620130003841<NA>
720130004301R0
820130005473R1
920140000131R1
업체(개인)번호순번인증서신청상태
1620140000161I0
1720130003311I0
1820130003801R1
1920130004011R0
2020130004061R1
2120130004062R1
2220130004151I0
2320130005471<NA>
2420130005472R0
2520130005841R1