Overview

Dataset statistics

Number of variables5
Number of observations123
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory43.1 B

Variable types

Text1
Categorical1
Numeric2
DateTime1

Dataset

Description경기도 양주시 도시계획정보시스템(UPIS) 농림지역 현황으로 현황도형 관리번호, 라벨명, 면적(도형), 길이(도형), 현황도형 생성일의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15116441/fileData.do

Alerts

라벨명 has constant value ""Constant
면적(도형) is highly overall correlated with 길이(도형)High correlation
길이(도형) is highly overall correlated with 면적(도형)High correlation
현황도형 관리번호 has unique valuesUnique
면적(도형) has unique valuesUnique
길이(도형) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:48:15.283868
Analysis finished2023-12-12 12:48:16.086425
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

현황도형 관리번호
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:48:16.256948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters2952
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)100.0%

Sample

1st row41630UQ113PS202112310001
2nd row41630UQ113PS201706280002
3rd row41630UQ113PS201706280003
4th row41630UQ113PS201706280004
5th row41630UQ113PS201706280005
ValueCountFrequency (%)
41630uq113ps202112310001 1
 
0.8%
41630uq113ps201706280136 1
 
0.8%
41630uq113ps201706280158 1
 
0.8%
41630uq113ps201706280152 1
 
0.8%
41630uq113ps201706280149 1
 
0.8%
41630uq113ps201706280145 1
 
0.8%
41630uq113ps201706280171 1
 
0.8%
41630uq113ps201706280169 1
 
0.8%
41630uq113ps201706280168 1
 
0.8%
41630uq113ps201706280167 1
 
0.8%
Other values (113) 113
91.9%
2023-12-12T21:48:16.671687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 586
19.9%
0 569
19.3%
2 278
9.4%
6 273
9.2%
3 272
9.2%
4 148
 
5.0%
7 143
 
4.8%
8 142
 
4.8%
U 123
 
4.2%
Q 123
 
4.2%
Other values (4) 295
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2460
83.3%
Uppercase Letter 492
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 586
23.8%
0 569
23.1%
2 278
11.3%
6 273
11.1%
3 272
11.1%
4 148
 
6.0%
7 143
 
5.8%
8 142
 
5.8%
5 27
 
1.1%
9 22
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
U 123
25.0%
Q 123
25.0%
P 123
25.0%
S 123
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2460
83.3%
Latin 492
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 586
23.8%
0 569
23.1%
2 278
11.3%
6 273
11.1%
3 272
11.1%
4 148
 
6.0%
7 143
 
5.8%
8 142
 
5.8%
5 27
 
1.1%
9 22
 
0.9%
Latin
ValueCountFrequency (%)
U 123
25.0%
Q 123
25.0%
P 123
25.0%
S 123
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 586
19.9%
0 569
19.3%
2 278
9.4%
6 273
9.2%
3 272
9.2%
4 148
 
5.0%
7 143
 
4.8%
8 142
 
4.8%
U 123
 
4.2%
Q 123
 
4.2%
Other values (4) 295
10.0%

라벨명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
농림지역
123 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농림지역 123
100.0%

Length

2023-12-12T21:48:16.854748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:48:16.972905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림지역 123
100.0%

면적(도형)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309496.22
Minimum0.014681
Maximum5639988.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:48:17.090901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.014681
5-th percentile0.9721114
Q1570.01526
median20961.724
Q3187348.2
95-th percentile1596990.8
Maximum5639988.3
Range5639988.3
Interquartile range (IQR)186778.18

Descriptive statistics

Standard deviation723075.28
Coefficient of variation (CV)2.3362976
Kurtosis24.752318
Mean309496.22
Median Absolute Deviation (MAD)20961.368
Skewness4.2541533
Sum38068035
Variance5.2283786 × 1011
MonotonicityNot monotonic
2023-12-12T21:48:17.267653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4353.959149 1
 
0.8%
6.521578 1
 
0.8%
131498.0114 1
 
0.8%
1338540.401 1
 
0.8%
263753.715 1
 
0.8%
22331.02808 1
 
0.8%
306570.0915 1
 
0.8%
106978.0223 1
 
0.8%
19282.54491 1
 
0.8%
103467.3844 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
0.014681 1
0.8%
0.028203 1
0.8%
0.035082 1
0.8%
0.0499085 1
0.8%
0.133484 1
0.8%
0.2328495 1
0.8%
0.355504 1
0.8%
6.521578 1
0.8%
7.596127 1
0.8%
33.495962 1
0.8%
ValueCountFrequency (%)
5639988.341 1
0.8%
2586234.884 1
0.8%
2257636.645 1
0.8%
2123401.422 1
0.8%
1955180.989 1
0.8%
1795987.446 1
0.8%
1619269.053 1
0.8%
1396486.229 1
0.8%
1338540.401 1
0.8%
1327481.921 1
0.8%

길이(도형)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3036.3123
Minimum0.70971502
Maximum23589.132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:48:17.455978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.70971502
5-th percentile6.4306698
Q1143.05291
median874.44803
Q33353.5984
95-th percentile14232.202
Maximum23589.132
Range23588.422
Interquartile range (IQR)3210.5455

Descriptive statistics

Standard deviation4712.9421
Coefficient of variation (CV)1.5521928
Kurtosis4.4232776
Mean3036.3123
Median Absolute Deviation (MAD)830.26559
Skewness2.1449159
Sum373466.41
Variance22211824
MonotonicityNot monotonic
2023-12-12T21:48:17.892322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362.602235 1
 
0.8%
21.94645304 1
 
0.8%
1996.260841 1
 
0.8%
7769.42945 1
 
0.8%
3080.666769 1
 
0.8%
836.9969426 1
 
0.8%
7253.98682 1
 
0.8%
2467.828586 1
 
0.8%
1040.426869 1
 
0.8%
2226.475464 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
0.709715018 1
0.8%
0.877399312 1
0.8%
1.342054774 1
0.8%
1.351158521 1
0.8%
2.075513181 1
0.8%
2.962701909 1
0.8%
5.66106392 1
0.8%
13.35712257 1
0.8%
21.94645304 1
0.8%
30.95203665 1
0.8%
ValueCountFrequency (%)
23589.13198 1
0.8%
20536.03053 1
0.8%
16622.02101 1
0.8%
14872.92905 1
0.8%
14529.88562 1
0.8%
14317.52395 1
0.8%
14277.86247 1
0.8%
13821.25453 1
0.8%
12764.20573 1
0.8%
12340.38618 1
0.8%

현황도형 생성일
Date

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2021-11-01 00:00:00
Maximum2021-12-31 00:00:00
2023-12-12T21:48:18.005036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:48:18.110374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2023-12-12T21:48:15.629870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:48:15.409173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:48:15.751143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:48:15.524557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:48:18.181244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(도형)길이(도형)현황도형 생성일
면적(도형)1.0000.8820.356
길이(도형)0.8821.0001.000
현황도형 생성일0.3561.0001.000
2023-12-12T21:48:18.279737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(도형)길이(도형)
면적(도형)1.0000.988
길이(도형)0.9881.000

Missing values

2023-12-12T21:48:15.905976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:48:16.021471image/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

현황도형 관리번호라벨명면적(도형)길이(도형)현황도형 생성일
041630UQ113PS202112310001농림지역4353.959149362.6022352021-12-31
141630UQ113PS201706280002농림지역0.0282030.8773992021-12-31
241630UQ113PS201706280003농림지역1183435.33914277.862472021-12-31
341630UQ113PS201706280004농림지역8644.516703487.0694452021-12-31
441630UQ113PS201706280005농림지역31150.40359896.2451842021-12-31
541630UQ113PS201706280010농림지역7.59612713.3571232021-12-31
641630UQ113PS201706280012농림지역0.0350821.3420552021-12-31
741630UQ113PS201706280014농림지역556.197432102.1731772021-12-31
841630UQ113PS201706280017농림지역3326.384254299.2379992021-12-31
941630UQ113PS201706280018농림지역684.78278110.6118132021-12-31
현황도형 관리번호라벨명면적(도형)길이(도형)현황도형 생성일
11341630UQ113PS201706280141농림지역86198.385971563.0159942021-12-31
11441630UQ113PS201706280142농림지역92433.280471661.9596632021-12-31
11541630UQ113PS201706280143농림지역13765.37773537.8721382021-12-31
11641630UQ113PS201706280144농림지역191973.1353296.5296822021-12-31
11741630UQ113PS201706280148농림지역65915.543961731.5472512021-12-31
11841630UQ113PS201706280150농림지역6609.933772471.1233752021-12-31
11941630UQ113PS201706280154농림지역6960.510083437.9730042021-12-31
12041630UQ113PS202106250001농림지역1327481.92116622.021012021-11-01
12141630UQ113PS201706280162농림지역8791.89603484.8443012021-12-31
12241630UQ113PS201706280164농림지역52961.60311675.8676872021-12-31