Overview

Dataset statistics

Number of variables4
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory38.6 B

Variable types

Numeric1
Categorical3

Dataset

Description샘플 데이터
Author국토연구원
URLhttps://www.bigdata-region.kr/#/dataset/b4efcdfe-9311-4c94-ad7d-e1a62222a7cc

Alerts

격자공간명 has constant value ""Constant
시군구코드 has constant value ""Constant
시군구명 has constant value ""Constant
격자공간고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:16:23.089695
Analysis finished2023-12-10 14:16:23.589734
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

격자공간고유번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.011 × 1015
Minimum5.011 × 1015
Maximum5.011 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T23:16:23.700707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.011 × 1015
5-th percentile5.011 × 1015
Q15.011 × 1015
median5.011 × 1015
Q35.011 × 1015
95-th percentile5.011 × 1015
Maximum5.011 × 1015
Range28000
Interquartile range (IQR)14000

Descriptive statistics

Standard deviation8514.6932
Coefficient of variation (CV)1.6992004 × 10-12
Kurtosis-1.2
Mean5.011 × 1015
Median Absolute Deviation (MAD)7000
Skewness0.0003784308
Sum1.45319 × 1017
Variance72500001
MonotonicityStrictly increasing
2023-12-10T23:16:23.929039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5011000001001000 1
 
3.4%
5011000001002000 1
 
3.4%
5011000001029000 1
 
3.4%
5011000001028000 1
 
3.4%
5011000001027000 1
 
3.4%
5011000001026000 1
 
3.4%
5011000001025000 1
 
3.4%
5011000001024000 1
 
3.4%
5011000001023000 1
 
3.4%
5011000001022000 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
5011000001001000 1
3.4%
5011000001002000 1
3.4%
5011000001003000 1
3.4%
5011000001004000 1
3.4%
5011000001005000 1
3.4%
5011000001006000 1
3.4%
5011000001007000 1
3.4%
5011000001008000 1
3.4%
5011000001009000 1
3.4%
5011000001010000 1
3.4%
ValueCountFrequency (%)
5011000001029000 1
3.4%
5011000001028000 1
3.4%
5011000001027000 1
3.4%
5011000001026000 1
3.4%
5011000001025000 1
3.4%
5011000001024000 1
3.4%
5011000001023000 1
3.4%
5011000001022000 1
3.4%
5011000001021000 1
3.4%
5011000001020000 1
3.4%

격자공간명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
나다9058
29 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row나다9058
2nd row나다9058
3rd row나다9058
4th row나다9058
5th row나다9058

Common Values

ValueCountFrequency (%)
나다9058 29
100.0%

Length

2023-12-10T23:16:24.546486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:24.713240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나다9058 29
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
50110
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50110
2nd row50110
3rd row50110
4th row50110
5th row50110

Common Values

ValueCountFrequency (%)
50110 29
100.0%

Length

2023-12-10T23:16:24.937192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:25.102146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50110 29
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
제주시
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 29
100.0%

Length

2023-12-10T23:16:25.241378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:25.431901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 29
100.0%

Interactions

2023-12-10T23:16:23.157170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-10T23:16:23.408692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:16:23.535613image/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

격자공간고유번호격자공간명시군구코드시군구명
05011000001001000나다905850110제주시
15011000001002000나다905850110제주시
25011000001003000나다905850110제주시
35011000001004000나다905850110제주시
45011000001005000나다905850110제주시
55011000001006000나다905850110제주시
65011000001007000나다905850110제주시
75011000001008000나다905850110제주시
85011000001009000나다905850110제주시
95011000001010000나다905850110제주시
격자공간고유번호격자공간명시군구코드시군구명
195011000001020000나다905850110제주시
205011000001021000나다905850110제주시
215011000001022000나다905850110제주시
225011000001023000나다905850110제주시
235011000001024000나다905850110제주시
245011000001025000나다905850110제주시
255011000001026000나다905850110제주시
265011000001027000나다905850110제주시
275011000001028000나다905850110제주시
285011000001029000나다905850110제주시