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/d6c69ad1-ca8f-4e58-a446-919923ecc14f

Alerts

SPG_NM has constant value ""Constant
SIGNGU_CD has constant value ""Constant
SIGNGU_NM has constant value ""Constant
SPG_SIZE has constant value ""Constant
SPG_INNB is highly overall correlated with IDEXHigh correlation
IDEX is highly overall correlated with SPG_INNBHigh correlation
SPG_INNB has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:59:52.022106
Analysis finished2023-12-10 13:59:53.311279
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

SPG_INNB
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.611 × 1015
Minimum3.611 × 1015
Maximum3.611 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:59:53.414467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.611 × 1015
5-th percentile3.611 × 1015
Q13.611 × 1015
median3.611 × 1015
Q33.611 × 1015
95-th percentile3.611 × 1015
Maximum3.611 × 1015
Range7100
Interquartile range (IQR)3700

Descriptive statistics

Standard deviation2203.0308
Coefficient of variation (CV)6.1008885 × 10-13
Kurtosis-1.194984
Mean3.611 × 1015
Median Absolute Deviation (MAD)1950
Skewness0.028979265
Sum1.0833 × 1017
Variance4853344.8
MonotonicityStrictly increasing
2023-12-10T22:59:53.974865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3611000001001100 1
 
3.3%
3611000001005100 1
 
3.3%
3611000001008200 1
 
3.3%
3611000001008100 1
 
3.3%
3611000001007400 1
 
3.3%
3611000001007300 1
 
3.3%
3611000001007200 1
 
3.3%
3611000001007100 1
 
3.3%
3611000001006400 1
 
3.3%
3611000001006300 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3611000001001100 1
3.3%
3611000001001200 1
3.3%
3611000001001300 1
3.3%
3611000001001400 1
3.3%
3611000001002100 1
3.3%
3611000001002200 1
3.3%
3611000001002300 1
3.3%
3611000001002400 1
3.3%
3611000001003100 1
3.3%
3611000001003200 1
3.3%
ValueCountFrequency (%)
3611000001008200 1
3.3%
3611000001008100 1
3.3%
3611000001007400 1
3.3%
3611000001007300 1
3.3%
3611000001007200 1
3.3%
3611000001007100 1
3.3%
3611000001006400 1
3.3%
3611000001006300 1
3.3%
3611000001006200 1
3.3%
3611000001006100 1
3.3%

SPG_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
다바6958
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다바6958
2nd row다바6958
3rd row다바6958
4th row다바6958
5th row다바6958

Common Values

ValueCountFrequency (%)
다바6958 30
100.0%

Length

2023-12-10T22:59:54.195402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:54.337863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다바6958 30
100.0%

SIGNGU_CD
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
36110
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36110
2nd row36110
3rd row36110
4th row36110
5th row36110

Common Values

ValueCountFrequency (%)
36110 30
100.0%

Length

2023-12-10T22:59:54.502086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:54.645227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36110 30
100.0%

SIGNGU_NM
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시 30
100.0%

Length

2023-12-10T22:59:54.791009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:54.948111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시 30
100.0%

SPG_SIZE
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

2023-12-10T22:59:55.121074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:55.328497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50 30
100.0%

IDEX
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.251
Minimum15.02
Maximum25.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:59:55.495710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.02
5-th percentile16.254
Q119.255
median21.725
Q323.355
95-th percentile25.1685
Maximum25.23
Range10.21
Interquartile range (IQR)4.1

Descriptive statistics

Standard deviation2.9635351
Coefficient of variation (CV)0.13945391
Kurtosis-0.66742336
Mean21.251
Median Absolute Deviation (MAD)2.315
Skewness-0.42776317
Sum637.53
Variance8.7825403
MonotonicityNot monotonic
2023-12-10T22:59:55.841068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
22.3 2
 
6.7%
15.02 1
 
3.3%
16.02 1
 
3.3%
24.76 1
 
3.3%
25.04 1
 
3.3%
22.26 1
 
3.3%
22.18 1
 
3.3%
25.2 1
 
3.3%
25.23 1
 
3.3%
22.03 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
15.02 1
3.3%
16.02 1
3.3%
16.54 1
3.3%
16.93 1
3.3%
17.75 1
3.3%
17.82 1
3.3%
18.75 1
3.3%
19.04 1
3.3%
19.9 1
3.3%
20.19 1
3.3%
ValueCountFrequency (%)
25.23 1
3.3%
25.2 1
3.3%
25.13 1
3.3%
25.04 1
3.3%
24.88 1
3.3%
24.76 1
3.3%
24.48 1
3.3%
23.67 1
3.3%
22.41 1
3.3%
22.3 2
6.7%

Interactions

2023-12-10T22:59:52.544827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:59:52.183114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:59:52.712137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:59:52.350101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:59:56.028679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SPG_INNBIDEX
SPG_INNB1.0000.677
IDEX0.6771.000
2023-12-10T22:59:56.174630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SPG_INNBIDEX
SPG_INNB1.0000.826
IDEX0.8261.000

Missing values

2023-12-10T22:59:53.001604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:59:53.210452image/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

SPG_INNBSPG_NMSIGNGU_CDSIGNGU_NMSPG_SIZEIDEX
03611000001001100다바695836110세종특별자치시5015.02
13611000001001200다바695836110세종특별자치시5016.02
23611000001001300다바695836110세종특별자치시5016.54
33611000001001400다바695836110세종특별자치시5017.82
43611000001002100다바695836110세종특별자치시5016.93
53611000001002200다바695836110세종특별자치시5017.75
63611000001002300다바695836110세종특별자치시5019.04
73611000001002400다바695836110세종특별자치시5020.19
83611000001003100다바695836110세종특별자치시5018.75
93611000001003200다바695836110세종특별자치시5019.9
SPG_INNBSPG_NMSIGNGU_CDSIGNGU_NMSPG_SIZEIDEX
203611000001006100다바695836110세종특별자치시5021.84
213611000001006200다바695836110세종특별자치시5022.03
223611000001006300다바695836110세종특별자치시5025.23
233611000001006400다바695836110세종특별자치시5025.2
243611000001007100다바695836110세종특별자치시5022.18
253611000001007200다바695836110세종특별자치시5022.26
263611000001007300다바695836110세종특별자치시5025.04
273611000001007400다바695836110세종특별자치시5024.76
283611000001008100다바695836110세종특별자치시5022.3
293611000001008200다바695836110세종특별자치시5022.3