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://www.bigdata-region.kr/#/dataset/3e4ce6ed-0997-4bdf-b3c8-f75f606eb2cc

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

Reproduction

Analysis started2023-12-10 14:00:48.915144
Analysis finished2023-12-10 14:00:50.041086
Duration1.13 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%
Mean1.15 × 1015
Minimum1.15 × 1015
Maximum1.15 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:00:50.575819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.15 × 1015
5-th percentile1.15 × 1015
Q11.15 × 1015
median1.15 × 1015
Q31.15 × 1015
95-th percentile1.15 × 1015
Maximum1.15 × 1015
Range7100
Interquartile range (IQR)3700

Descriptive statistics

Standard deviation2203.0308
Coefficient of variation (CV)1.915679 × 10-12
Kurtosis-1.194984
Mean1.15 × 1015
Median Absolute Deviation (MAD)1950
Skewness0.028979265
Sum3.45 × 1016
Variance4853344.8
MonotonicityStrictly increasing
2023-12-10T23:00:50.820297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1150000001001100 1
 
3.3%
1150000001005100 1
 
3.3%
1150000001008200 1
 
3.3%
1150000001008100 1
 
3.3%
1150000001007400 1
 
3.3%
1150000001007300 1
 
3.3%
1150000001007200 1
 
3.3%
1150000001007100 1
 
3.3%
1150000001006400 1
 
3.3%
1150000001006300 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1150000001001100 1
3.3%
1150000001001200 1
3.3%
1150000001001300 1
3.3%
1150000001001400 1
3.3%
1150000001002100 1
3.3%
1150000001002200 1
3.3%
1150000001002300 1
3.3%
1150000001002400 1
3.3%
1150000001003100 1
3.3%
1150000001003200 1
3.3%
ValueCountFrequency (%)
1150000001008200 1
3.3%
1150000001008100 1
3.3%
1150000001007400 1
3.3%
1150000001007300 1
3.3%
1150000001007200 1
3.3%
1150000001007100 1
3.3%
1150000001006400 1
3.3%
1150000001006300 1
3.3%
1150000001006200 1
3.3%
1150000001006100 1
3.3%

격자공간명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
다사3855
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다사3855
2nd row다사3855
3rd row다사3855
4th row다사3855
5th row다사3855

Common Values

ValueCountFrequency (%)
다사3855 30
100.0%

Length

2023-12-10T23:00:51.031566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:00:51.192167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다사3855 30
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
11500
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11500
2nd row11500
3rd row11500
4th row11500
5th row11500

Common Values

ValueCountFrequency (%)
11500 30
100.0%

Length

2023-12-10T23:00:51.363949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:00:51.556525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11500 30
100.0%

시군구명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서구 30
100.0%

Length

2023-12-10T23:00:51.747316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:00:51.894498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서구 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

2023-12-10T23:00:52.067743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:00:52.244117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50 30
100.0%

지수
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.960333
Minimum15.06
Maximum22.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:00:52.426069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.06
5-th percentile15.0835
Q115.275
median16.165
Q318.1525
95-th percentile20.884
Maximum22.97
Range7.91
Interquartile range (IQR)2.8775

Descriptive statistics

Standard deviation2.1126784
Coefficient of variation (CV)0.12456586
Kurtosis1.0630392
Mean16.960333
Median Absolute Deviation (MAD)0.995
Skewness1.2747414
Sum508.81
Variance4.4634102
MonotonicityNot monotonic
2023-12-10T23:00:52.861788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
15.1 2
 
6.7%
17.92 1
 
3.3%
22.97 1
 
3.3%
21.46 1
 
3.3%
20.18 1
 
3.3%
18.46 1
 
3.3%
20.09 1
 
3.3%
18.23 1
 
3.3%
16.72 1
 
3.3%
15.76 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
15.06 1
3.3%
15.07 1
3.3%
15.1 2
6.7%
15.16 1
3.3%
15.18 1
3.3%
15.23 1
3.3%
15.26 1
3.3%
15.32 1
3.3%
15.37 1
3.3%
15.49 1
3.3%
ValueCountFrequency (%)
22.97 1
3.3%
21.46 1
3.3%
20.18 1
3.3%
20.09 1
3.3%
18.85 1
3.3%
18.82 1
3.3%
18.46 1
3.3%
18.23 1
3.3%
17.92 1
3.3%
17.89 1
3.3%

Interactions

2023-12-10T23:00:49.429450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:00:49.102970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:00:49.600805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:00:49.267182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:00:53.032952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
격자공간고유번호지수
격자공간고유번호1.0000.761
지수0.7611.000
2023-12-10T23:00:53.192523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
격자공간고유번호지수
격자공간고유번호1.0000.169
지수0.1691.000

Missing values

2023-12-10T23:00:49.803043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:00:49.978843image/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

격자공간고유번호격자공간명시군구코드시군구명격자공간사이즈지수
01150000001001100다사385511500강서구5018.85
11150000001001200다사385511500강서구5017.92
21150000001001300다사385511500강서구5018.82
31150000001001400다사385511500강서구5017.89
41150000001002100다사385511500강서구5017.01
51150000001002200다사385511500강서구5016.17
61150000001002300다사385511500강서구5017.0
71150000001002400다사385511500강서구5016.16
81150000001003100다사385511500강서구5015.59
91150000001003200다사385511500강서구5015.37
격자공간고유번호격자공간명시군구코드시군구명격자공간사이즈지수
201150000001006100다사385511500강서구5015.7
211150000001006200다사385511500강서구5016.49
221150000001006300다사385511500강서구5015.76
231150000001006400다사385511500강서구5016.72
241150000001007100다사385511500강서구5018.23
251150000001007200다사385511500강서구5020.09
261150000001007300다사385511500강서구5018.46
271150000001007400다사385511500강서구5020.18
281150000001008100다사385511500강서구5021.46
291150000001008200다사385511500강서구5022.97