Overview

Dataset statistics

Number of variables8
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory68.8 B

Variable types

Text1
Categorical4
Numeric2
DateTime1

Dataset

Description경기도 광주시 도시계획정보시스템의 개발진흥지구 현황에 관한 데이터로 현황도형 관리번호, 라벨명, 면적, 길이 등에 대한 항목을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15122655/fileData.do

Alerts

시군구코드 has constant value ""Constant
시군구 has constant value ""Constant
라벨명 is highly overall correlated with 도형 대분류코드High correlation
도형 대분류코드 is highly overall correlated with 라벨명High correlation
면적(도형) is highly overall correlated with 길이(도형)High correlation
길이(도형) is highly overall correlated with 면적(도형)High correlation
도형 대분류코드 is highly imbalanced (50.6%)Imbalance
라벨명 is highly imbalanced (51.7%)Imbalance
현황도형 관리번호 has unique valuesUnique
면적(도형) has unique valuesUnique
길이(도형) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:37:16.139424
Analysis finished2023-12-12 22:37:16.861847
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

현황도형 관리번호
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-13T07:37:16.979314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters1728
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

Unique72 ?
Unique (%)100.0%

Sample

1st row41610UQ129PS201610110064
2nd row41610UQ129PS201610110038
3rd row41610UQ129PS201610110072
4th row41610UQ129PS201610110071
5th row41610UQ129PS201610110062
ValueCountFrequency (%)
41610uq129ps201610110064 1
 
1.4%
41610uq129ps201610110038 1
 
1.4%
41610uq129ps201611180009 1
 
1.4%
41610uq129ps201611180077 1
 
1.4%
41610uq129ps201610110044 1
 
1.4%
41610uq129ps201610110058 1
 
1.4%
41610uq129ps201610110033 1
 
1.4%
41610uq129ps201611180034 1
 
1.4%
41610uq129ps200904280060 1
 
1.4%
41610uq129ps201611180027 1
 
1.4%
Other values (62) 62
86.1%
2023-12-13T07:37:17.247193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 486
28.1%
0 359
20.8%
2 172
 
10.0%
6 156
 
9.0%
4 96
 
5.6%
9 80
 
4.6%
U 72
 
4.2%
Q 72
 
4.2%
P 72
 
4.2%
S 72
 
4.2%
Other values (4) 91
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1440
83.3%
Uppercase Letter 288
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 486
33.8%
0 359
24.9%
2 172
 
11.9%
6 156
 
10.8%
4 96
 
6.7%
9 80
 
5.6%
8 34
 
2.4%
7 24
 
1.7%
5 20
 
1.4%
3 13
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
U 72
25.0%
Q 72
25.0%
P 72
25.0%
S 72
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1440
83.3%
Latin 288
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 486
33.8%
0 359
24.9%
2 172
 
11.9%
6 156
 
10.8%
4 96
 
6.7%
9 80
 
5.6%
8 34
 
2.4%
7 24
 
1.7%
5 20
 
1.4%
3 13
 
0.9%
Latin
ValueCountFrequency (%)
U 72
25.0%
Q 72
25.0%
P 72
25.0%
S 72
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 486
28.1%
0 359
20.8%
2 172
 
10.0%
6 156
 
9.0%
4 96
 
5.6%
9 80
 
4.6%
U 72
 
4.2%
Q 72
 
4.2%
P 72
 
4.2%
S 72
 
4.2%
Other values (4) 91
 
5.3%

도형 대분류코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
UQN110
57 
UQN150
 
5
UQN160
 
4
UQN130
 
3
UQN140
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUQN110
2nd rowUQN110
3rd rowUQN110
4th rowUQN110
5th rowUQN110

Common Values

ValueCountFrequency (%)
UQN110 57
79.2%
UQN150 5
 
6.9%
UQN160 4
 
5.6%
UQN130 3
 
4.2%
UQN140 3
 
4.2%

Length

2023-12-13T07:37:17.358698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:37:17.436846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uqn110 57
79.2%
uqn150 5
 
6.9%
uqn160 4
 
5.6%
uqn130 3
 
4.2%
uqn140 3
 
4.2%

라벨명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
주거개발진흥지구
56 
복합개발진흥지구
 
5
특정개발진흥지구
 
4
유통개발진흥지구
 
3
관광_휴양개발진흥지구
 
3

Length

Max length11
Median length8
Mean length8.0694444
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
주거개발진흥지구 56
77.8%
복합개발진흥지구 5
 
6.9%
특정개발진흥지구 4
 
5.6%
유통개발진흥지구 3
 
4.2%
관광_휴양개발진흥지구 3
 
4.2%
<NA> 1
 
1.4%

Length

2023-12-13T07:37:17.533635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:37:17.621689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거개발진흥지구 56
77.8%
복합개발진흥지구 5
 
6.9%
특정개발진흥지구 4
 
5.6%
유통개발진흥지구 3
 
4.2%
관광_휴양개발진흥지구 3
 
4.2%
na 1
 
1.4%

면적(도형)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162879.02
Minimum4800.4
Maximum1320527.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T07:37:17.724219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4800.4
5-th percentile12710.054
Q148186.18
median85610.16
Q3156942.41
95-th percentile563734.33
Maximum1320527.8
Range1315727.4
Interquartile range (IQR)108756.23

Descriptive statistics

Standard deviation240875.39
Coefficient of variation (CV)1.4788607
Kurtosis12.466465
Mean162879.02
Median Absolute Deviation (MAD)56290.94
Skewness3.3471399
Sum11727290
Variance5.8020954 × 1010
MonotonicityNot monotonic
2023-12-13T07:37:17.840837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57105.11 1
 
1.4%
145150.26 1
 
1.4%
278027.28 1
 
1.4%
27759.21 1
 
1.4%
575350.69 1
 
1.4%
46614.36 1
 
1.4%
57948.37 1
 
1.4%
96999.59 1
 
1.4%
18228.79 1
 
1.4%
9679.78 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
4800.4 1
1.4%
6024.93 1
1.4%
9679.78 1
1.4%
10322.02 1
1.4%
14663.9 1
1.4%
18228.79 1
1.4%
19624.57 1
1.4%
23147.96 1
1.4%
23466.11 1
1.4%
23818.82 1
1.4%
ValueCountFrequency (%)
1320527.78 1
1.4%
1239568.46 1
1.4%
837054.16 1
1.4%
575350.69 1
1.4%
554230.03 1
1.4%
483249.89 1
1.4%
441763.88 1
1.4%
323669.31 1
1.4%
278027.28 1
1.4%
264332.52 1
1.4%

길이(도형)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1949.0481
Minimum318.14
Maximum7616.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T07:37:17.952638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum318.14
5-th percentile532.472
Q11053.9775
median1701.82
Q32490.91
95-th percentile4030.022
Maximum7616.31
Range7298.17
Interquartile range (IQR)1436.9325

Descriptive statistics

Standard deviation1346.8049
Coefficient of variation (CV)0.69100651
Kurtosis4.7887071
Mean1949.0481
Median Absolute Deviation (MAD)716.895
Skewness1.8672616
Sum140331.46
Variance1813883.4
MonotonicityNot monotonic
2023-12-13T07:37:18.061723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1396.09 1
 
1.4%
2477.69 1
 
1.4%
3472.04 1
 
1.4%
942.61 1
 
1.4%
4156.83 1
 
1.4%
1083.65 1
 
1.4%
1354.58 1
 
1.4%
1956.16 1
 
1.4%
735.04 1
 
1.4%
431.88 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
318.14 1
1.4%
322.83 1
1.4%
431.88 1
1.4%
469.75 1
1.4%
583.79 1
1.4%
645.07 1
1.4%
671.11 1
1.4%
685.71 1
1.4%
731.51 1
1.4%
735.04 1
1.4%
ValueCountFrequency (%)
7616.31 1
1.4%
6333.81 1
1.4%
5545.52 1
1.4%
4156.83 1
1.4%
3926.27 1
1.4%
3900.75 1
1.4%
3528.61 1
1.4%
3472.04 1
1.4%
3237.01 1
1.4%
3151.61 1
1.4%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
41610
72 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41610
2nd row41610
3rd row41610
4th row41610
5th row41610

Common Values

ValueCountFrequency (%)
41610 72
100.0%

Length

2023-12-13T07:37:18.176623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:37:18.257162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41610 72
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
광주시
72 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 72
100.0%

Length

2023-12-13T07:37:18.341022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:37:18.416551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 72
100.0%

현황도형 생성일시
Date

Distinct13
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2016-11-30 00:00:00
Maximum2023-06-23 00:00:00
2023-12-13T07:37:18.482329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:18.561798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

Interactions

2023-12-13T07:37:16.517587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:16.354165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:16.605700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:16.427282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:37:18.623089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현황도형 관리번호도형 대분류코드라벨명면적(도형)길이(도형)현황도형 생성일시
현황도형 관리번호1.0001.0001.0001.0001.0001.000
도형 대분류코드1.0001.0001.0000.6230.6870.504
라벨명1.0001.0001.0000.6230.6870.496
면적(도형)1.0000.6230.6231.0000.8670.756
길이(도형)1.0000.6870.6870.8671.0000.754
현황도형 생성일시1.0000.5040.4960.7560.7541.000
2023-12-13T07:37:18.710357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
라벨명도형 대분류코드
라벨명1.0001.000
도형 대분류코드1.0001.000
2023-12-13T07:37:18.778024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(도형)길이(도형)도형 대분류코드라벨명
면적(도형)1.0000.9400.4570.458
길이(도형)0.9401.0000.4720.472
도형 대분류코드0.4570.4721.0001.000
라벨명0.4580.4721.0001.000

Missing values

2023-12-13T07:37:16.715484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:37:16.819310image/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 관리번호도형 대분류코드라벨명면적(도형)길이(도형)시군구코드시군구현황도형 생성일시
041610UQ129PS201610110064UQN110주거개발진흥지구57105.111396.0941610광주시2022-07-28
141610UQ129PS201610110038UQN110주거개발진흥지구82367.892064.8241610광주시2022-07-28
241610UQ129PS201610110072UQN110주거개발진흥지구134037.233528.6141610광주시2022-07-28
341610UQ129PS201610110071UQN110주거개발진흥지구128228.572363.7941610광주시2022-07-28
441610UQ129PS201610110062UQN110주거개발진흥지구76420.921305.4841610광주시2022-07-28
541610UQ129PS201610110063UQN110<NA>141680.782530.5741610광주시2022-07-28
641610UQ129PS201610110061UQN110주거개발진흥지구64833.941110.4541610광주시2022-07-28
741610UQ129PS201610110039UQN110주거개발진흥지구65684.011868.1441610광주시2022-07-28
841610UQ129PS201611180001UQN110주거개발진흥지구29117.36876.2841610광주시2016-11-30
941610UQ129PS201611180002UQN110주거개발진흥지구53506.361062.8941610광주시2016-11-30
현황도형 관리번호도형 대분류코드라벨명면적(도형)길이(도형)시군구코드시군구현황도형 생성일시
6241610UQ129PS201610110067UQN110주거개발진흥지구96687.281904.8641610광주시2016-11-30
6341610UQ129PS201610110068UQN110주거개발진흥지구215325.752189.0841610광주시2016-11-30
6441610UQ129PS201610110070UQN110주거개발진흥지구64364.211234.5841610광주시2018-09-21
6541610UQ129PS201611180035UQN110주거개발진흥지구19624.57731.5141610광주시2016-11-30
6641610UQ129PS201611180042UQN110주거개발진흥지구26063.52869.6741610광주시2016-11-30
6741610UQ129PS201611180043UQN110주거개발진흥지구23818.82645.0741610광주시2016-11-30
6841610UQ129PS201610110047UQN140관광_휴양개발진흥지구1320527.787616.3141610광주시2018-09-07
6941610UQ129PS201610110051UQN160특정개발진흥지구23466.111478.9441610광주시2016-11-30
7041610UQ129PS201610110053UQN150복합개발진흥지구264332.522933.2341610광주시2016-11-30
7141610UQ129PS201610110030UQN110주거개발진흥지구261665.73135.0941610광주시2016-11-30