Overview

Dataset statistics

Number of variables6
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory56.4 B

Variable types

Numeric2
Categorical4

Dataset

Description샘플 데이터
Author국토연구원
URLhttps://bigdata-region.kr/#/dataset/85e71748-36d3-4e13-99e6-a3c769d2ea7e

Alerts

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

Reproduction

Analysis started2023-12-10 14:16:05.575913
Analysis finished2023-12-10 14:16:07.103736
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

격자공간고유번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.111 × 1015
Minimum1.111 × 1015
Maximum1.111 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:07.270916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 1015
5-th percentile1.111 × 1015
Q11.111 × 1015
median1.111 × 1015
Q31.111 × 1015
95-th percentile1.111 × 1015
Maximum1.111 × 1015
Range7100
Interquartile range (IQR)3700

Descriptive statistics

Standard deviation2203.0308
Coefficient of variation (CV)1.982926 × 10-12
Kurtosis-1.194984
Mean1.111 × 1015
Median Absolute Deviation (MAD)1950
Skewness0.028979265
Sum3.333 × 1016
Variance4853344.8
MonotonicityStrictly increasing
2023-12-10T23:16:07.919187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1111000001001100 1
 
3.3%
1111000001005100 1
 
3.3%
1111000001008200 1
 
3.3%
1111000001008100 1
 
3.3%
1111000001007400 1
 
3.3%
1111000001007300 1
 
3.3%
1111000001007200 1
 
3.3%
1111000001007100 1
 
3.3%
1111000001006400 1
 
3.3%
1111000001006300 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1111000001001100 1
3.3%
1111000001001200 1
3.3%
1111000001001300 1
3.3%
1111000001001400 1
3.3%
1111000001002100 1
3.3%
1111000001002200 1
3.3%
1111000001002300 1
3.3%
1111000001002400 1
3.3%
1111000001003100 1
3.3%
1111000001003200 1
3.3%
ValueCountFrequency (%)
1111000001008200 1
3.3%
1111000001008100 1
3.3%
1111000001007400 1
3.3%
1111000001007300 1
3.3%
1111000001007200 1
3.3%
1111000001007100 1
3.3%
1111000001006400 1
3.3%
1111000001006300 1
3.3%
1111000001006200 1
3.3%
1111000001006100 1
3.3%

격자공간명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
다사5158
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다사5158
2nd row다사5158
3rd row다사5158
4th row다사5158
5th row다사5158

Common Values

ValueCountFrequency (%)
다사5158 30
100.0%

Length

2023-12-10T23:16:08.216518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:08.450411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다사5158 30
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
11110
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11110
2nd row11110
3rd row11110
4th row11110
5th row11110

Common Values

ValueCountFrequency (%)
11110 30
100.0%

Length

2023-12-10T23:16:08.671614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:08.891037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11110 30
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
종로구
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 30
100.0%

Length

2023-12-10T23:16:09.109553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:09.360081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 30
100.0%

격자공간사이즈
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
50
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50

Common Values

ValueCountFrequency (%)
50 30
100.0%

Length

2023-12-10T23:16:09.590375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:09.750484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50 30
100.0%

값
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean477882.97
Minimum25661
Maximum971716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:09.936872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25661
5-th percentile68171.65
Q1216561.75
median491537
Q3736034.25
95-th percentile916569.25
Maximum971716
Range946055
Interquartile range (IQR)519472.5

Descriptive statistics

Standard deviation297532.11
Coefficient of variation (CV)0.62260455
Kurtosis-1.3299123
Mean477882.97
Median Absolute Deviation (MAD)269961.5
Skewness0.035729939
Sum14336489
Variance8.8525355 × 1010
MonotonicityNot monotonic
2023-12-10T23:16:10.105882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
148679 1
 
3.3%
231603 1
 
3.3%
842344 1
 
3.3%
790541 1
 
3.3%
462626 1
 
3.3%
809790 1
 
3.3%
237979 1
 
3.3%
970108 1
 
3.3%
971716 1
 
3.3%
851133 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
25661 1
3.3%
65833 1
3.3%
71030 1
3.3%
100583 1
3.3%
110104 1
3.3%
148679 1
3.3%
161867 1
3.3%
211548 1
3.3%
231603 1
3.3%
237979 1
3.3%
ValueCountFrequency (%)
971716 1
3.3%
970108 1
3.3%
851133 1
3.3%
842344 1
3.3%
809790 1
3.3%
801414 1
3.3%
790541 1
3.3%
748661 1
3.3%
698154 1
3.3%
674655 1
3.3%

Interactions

2023-12-10T23:16:06.311748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:05.835694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:06.597329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:06.094012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:16:10.234538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
격자공간고유번호값
격자공간고유번호1.0000.542
값0.5421.000
2023-12-10T23:16:10.374734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
격자공간고유번호값
격자공간고유번호1.0000.498
값0.4981.000

Missing values

2023-12-10T23:16:06.806404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:16:07.029705image/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

격자공간고유번호격자공간명시군구코드시군구명격자공간사이즈값
01111000001001100다사515811110종로구50148679
11111000001001200다사515811110종로구50570283
21111000001001300다사515811110종로구5025661
31111000001001400다사515811110종로구50342698
41111000001002100다사515811110종로구50263935
51111000001002200다사515811110종로구50161867
61111000001002300다사515811110종로구50585108
71111000001002400다사515811110종로구50642185
81111000001003100다사515811110종로구5071030
91111000001003200다사515811110종로구5065833
격자공간고유번호격자공간명시군구코드시군구명격자공간사이즈값
201111000001006100다사515811110종로구50100583
211111000001006200다사515811110종로구50698154
221111000001006300다사515811110종로구50851133
231111000001006400다사515811110종로구50971716
241111000001007100다사515811110종로구50970108
251111000001007200다사515811110종로구50237979
261111000001007300다사515811110종로구50809790
271111000001007400다사515811110종로구50462626
281111000001008100다사515811110종로구50790541
291111000001008200다사515811110종로구50842344