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/4ed35f12-4323-4663-b47c-23e95b7347a7

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
IDEX has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:11:49.859851
Analysis finished2023-12-10 14:11:50.913925
Duration1.05 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
2023-12-10T23:11:51.017116image/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
2023-12-10T23:11:51.348933image/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

2023-12-10T23:11:51.817500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:52.148942image/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

2023-12-10T23:11:52.450444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:52.786808image/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

2023-12-10T23:11:53.008184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:53.170067image/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

2023-12-10T23:11:53.363528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:53.550018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50 30
100.0%

IDEX
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.821333
Minimum54.99
Maximum64.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:11:53.780797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.99
5-th percentile55.5895
Q158.8475
median61.69
Q362.6825
95-th percentile64.4135
Maximum64.54
Range9.55
Interquartile range (IQR)3.835

Descriptive statistics

Standard deviation2.8525569
Coefficient of variation (CV)0.046900598
Kurtosis-0.60516195
Mean60.821333
Median Absolute Deviation (MAD)1.905
Skewness-0.65432108
Sum1824.64
Variance8.1370809
MonotonicityNot monotonic
2023-12-10T23:11:54.067353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
55.09 1
 
3.3%
62.41 1
 
3.3%
64.19 1
 
3.3%
64.49 1
 
3.3%
64.32 1
 
3.3%
63.45 1
 
3.3%
64.54 1
 
3.3%
63.91 1
 
3.3%
62.34 1
 
3.3%
62.16 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
54.99 1
3.3%
55.09 1
3.3%
56.2 1
3.3%
56.37 1
3.3%
57.33 1
3.3%
57.58 1
3.3%
58.38 1
3.3%
58.69 1
3.3%
59.32 1
3.3%
59.64 1
3.3%
ValueCountFrequency (%)
64.54 1
3.3%
64.49 1
3.3%
64.32 1
3.3%
64.19 1
3.3%
63.91 1
3.3%
63.45 1
3.3%
63.04 1
3.3%
62.7 1
3.3%
62.63 1
3.3%
62.41 1
3.3%

Interactions

2023-12-10T23:11:50.327020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:50.007155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:50.477501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:50.162467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:11:54.240589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SPG_INNBIDEX
SPG_INNB1.0000.930
IDEX0.9301.000
2023-12-10T23:11:54.405923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SPG_INNBIDEX
SPG_INNB1.0000.964
IDEX0.9641.000

Missing values

2023-12-10T23:11:50.663655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:11:50.846813image/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
03611000001001100다바695836110세종특별자치시5055.09
13611000001001200다바695836110세종특별자치시5056.37
23611000001001300다바695836110세종특별자치시5054.99
33611000001001400다바695836110세종특별자치시5056.2
43611000001002100다바695836110세종특별자치시5057.58
53611000001002200다바695836110세종특별자치시5058.69
63611000001002300다바695836110세종특별자치시5057.33
73611000001002400다바695836110세종특별자치시5058.38
83611000001003100다바695836110세종특별자치시5059.64
93611000001003200다바695836110세종특별자치시5060.52
SPG_INNBSPG_NMSIGNGU_CDSIGNGU_NMSPG_SIZEIDEX
203611000001006100다바695836110세종특별자치시5062.7
213611000001006200다바695836110세종특별자치시5063.04
223611000001006300다바695836110세종특별자치시5062.16
233611000001006400다바695836110세종특별자치시5062.34
243611000001007100다바695836110세종특별자치시5063.91
253611000001007200다바695836110세종특별자치시5064.54
263611000001007300다바695836110세종특별자치시5063.45
273611000001007400다바695836110세종특별자치시5064.32
283611000001008100다바695836110세종특별자치시5064.49
293611000001008200다바695836110세종특별자치시5064.19