Overview

Dataset statistics

Number of variables2
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory19.3 B

Variable types

Numeric2

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=de1e4410-2dfe-11ea-9ae5-2bbf581d948d

Alerts

법정동코드 has unique valuesUnique
가구소득금액값 has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:15:47.342406
Analysis finished2023-12-10 10:15:48.836430
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법정동코드
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1114039 × 109
Minimum1.1110101 × 109
Maximum1.1140117 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:15:48.957300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 109
5-th percentile1.1110106 × 109
Q11.1110126 × 109
median1.111015 × 109
Q31.1110175 × 109
95-th percentile1.114011 × 109
Maximum1.1140117 × 109
Range3001600
Interquartile range (IQR)4950

Descriptive statistics

Standard deviation1012799.8
Coefficient of variation (CV)0.00091127963
Kurtosis3.0515375
Mean1.1114039 × 109
Median Absolute Deviation (MAD)2500
Skewness2.2340208
Sum1.1114039 × 1011
Variance1.0257634 × 1012
MonotonicityStrictly increasing
2023-12-10T19:15:49.187744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1111010100 1
 
1.0%
1111016500 1
 
1.0%
1111017500 1
 
1.0%
1111017400 1
 
1.0%
1111017300 1
 
1.0%
1111017200 1
 
1.0%
1111017100 1
 
1.0%
1111017000 1
 
1.0%
1111016900 1
 
1.0%
1111016800 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1111010100 1
1.0%
1111010200 1
1.0%
1111010300 1
1.0%
1111010400 1
1.0%
1111010500 1
1.0%
1111010600 1
1.0%
1111010700 1
1.0%
1111010800 1
1.0%
1111010900 1
1.0%
1111011000 1
1.0%
ValueCountFrequency (%)
1114011700 1
1.0%
1114011600 1
1.0%
1114011400 1
1.0%
1114011300 1
1.0%
1114011200 1
1.0%
1114011000 1
1.0%
1114010800 1
1.0%
1114010700 1
1.0%
1114010500 1
1.0%
1114010400 1
1.0%

가구소득금액값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5925.3911
Minimum2764.42
Maximum11933.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:15:49.401666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2764.42
5-th percentile3519.367
Q14400.045
median5559.315
Q37152.1225
95-th percentile9232.6585
Maximum11933.19
Range9168.77
Interquartile range (IQR)2752.0775

Descriptive statistics

Standard deviation1961.2069
Coefficient of variation (CV)0.33098354
Kurtosis0.012273846
Mean5925.3911
Median Absolute Deviation (MAD)1220.085
Skewness0.75890258
Sum592539.11
Variance3846332.5
MonotonicityNot monotonic
2023-12-10T19:15:49.625340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9049.02 1
 
1.0%
3522.07 1
 
1.0%
3917.41 1
 
1.0%
3468.01 1
 
1.0%
4089.07 1
 
1.0%
5056.93 1
 
1.0%
5707.66 1
 
1.0%
6465.37 1
 
1.0%
7149.03 1
 
1.0%
4688.85 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2764.42 1
1.0%
2973.83 1
1.0%
3002.39 1
1.0%
3178.03 1
1.0%
3468.01 1
1.0%
3522.07 1
1.0%
3567.91 1
1.0%
3604.14 1
1.0%
3643.11 1
1.0%
3647.67 1
1.0%
ValueCountFrequency (%)
11933.19 1
1.0%
10401.0 1
1.0%
10248.85 1
1.0%
10062.75 1
1.0%
9788.0 1
1.0%
9203.43 1
1.0%
9189.7 1
1.0%
9184.04 1
1.0%
9106.89 1
1.0%
9049.02 1
1.0%

Interactions

2023-12-10T19:15:48.363228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:15:48.046862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:15:48.528785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:15:48.220513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:15:49.774712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동코드가구소득금액값
법정동코드1.0000.769
가구소득금액값0.7691.000
2023-12-10T19:15:50.144912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동코드가구소득금액값
법정동코드1.0000.088
가구소득금액값0.0881.000

Missing values

2023-12-10T19:15:48.690332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:15:48.789382image/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

법정동코드가구소득금액값
011110101009049.02
111110102005544.59
211110103007078.69
311110104005403.79
411110105005345.71
511110106005480.03
611110107005675.54
711110108004784.15
811110109004749.17
911110110004302.0
법정동코드가구소득금액값
9011140104007885.0
9111140105009106.89
92111401070010401.0
9311140108009788.0
9411140110008626.63
9511140112005321.58
9611140113005644.67
9711140114008379.33
9811140116008823.5
9911140117008081.5