Overview

Dataset statistics

Number of variables8
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory76.7 B

Variable types

Categorical6
Numeric2

Dataset

Description서울특별시 시군구내 부동산개발업체의 부동산개발업법 위반행위에 대한 행정처분 결과를 년도별로 통계
Author국토교통부
URLhttps://www.data.go.kr/data/15063566/fileData.do

Alerts

시도코드 has constant value ""Constant
처분대상구분 has constant value ""Constant
법원이송구분 has constant value ""Constant
시정조치 has constant value ""Constant
등록취소 has 4 (14.3%) zerosZeros

Reproduction

Analysis started2023-12-12 21:11:11.255317
Analysis finished2023-12-12 21:11:12.080245
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2016
11 
2017
2018
2019
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row2019
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2016 11
39.3%
2017 9
32.1%
2018 7
25.0%
2019 1
 
3.6%

Length

2023-12-13T06:11:12.163473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:12.321648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 11
39.3%
2017 9
32.1%
2018 7
25.0%
2019 1
 
3.6%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
11
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 28
100.0%

Length

2023-12-13T06:11:12.470782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:12.588205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 28
100.0%

시군구코드
Real number (ℝ)

Distinct16
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11491.429
Minimum11110
Maximum11710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T06:11:12.681908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11150.5
Q111380
median11545
Q311657.5
95-th percentile11710
Maximum11710
Range600
Interquartile range (IQR)277.5

Descriptive statistics

Standard deviation198.63822
Coefficient of variation (CV)0.017285773
Kurtosis-0.89234561
Mean11491.429
Median Absolute Deviation (MAD)135
Skewness-0.70528752
Sum321760
Variance39457.143
MonotonicityNot monotonic
2023-12-13T06:11:12.822296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
11680 4
14.3%
11545 3
10.7%
11650 3
10.7%
11710 3
10.7%
11440 2
 
7.1%
11200 2
 
7.1%
11530 2
 
7.1%
11140 1
 
3.6%
11620 1
 
3.6%
11410 1
 
3.6%
Other values (6) 6
21.4%
ValueCountFrequency (%)
11110 1
3.6%
11140 1
3.6%
11170 1
3.6%
11200 2
7.1%
11215 1
3.6%
11290 1
3.6%
11410 1
3.6%
11440 2
7.1%
11470 1
3.6%
11530 2
7.1%
ValueCountFrequency (%)
11710 3
10.7%
11680 4
14.3%
11650 3
10.7%
11620 1
 
3.6%
11560 1
 
3.6%
11545 3
10.7%
11530 2
7.1%
11470 1
 
3.6%
11440 2
7.1%
11410 1
 
3.6%

처분대상구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T06:11:12.965046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:13.076041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

법원이송구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T06:11:13.184659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:13.282892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

시정조치
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T06:11:13.402653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:13.509054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

영업정지
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
17 
1
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
60.7%
1 5
 
17.9%
2 5
 
17.9%
5 1
 
3.6%

Length

2023-12-13T06:11:13.612697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:13.720395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
60.7%
1 5
 
17.9%
2 5
 
17.9%
5 1
 
3.6%

등록취소
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8571429
Minimum0
Maximum12
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T06:11:13.825964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5.65
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.4146817
Coefficient of variation (CV)1.3002132
Kurtosis11.653405
Mean1.8571429
Median Absolute Deviation (MAD)0
Skewness3.1546512
Sum52
Variance5.8306878
MonotonicityNot monotonic
2023-12-13T06:11:13.956799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 15
53.6%
0 4
 
14.3%
2 4
 
14.3%
3 2
 
7.1%
12 1
 
3.6%
5 1
 
3.6%
6 1
 
3.6%
ValueCountFrequency (%)
0 4
 
14.3%
1 15
53.6%
2 4
 
14.3%
3 2
 
7.1%
5 1
 
3.6%
6 1
 
3.6%
12 1
 
3.6%
ValueCountFrequency (%)
12 1
 
3.6%
6 1
 
3.6%
5 1
 
3.6%
3 2
 
7.1%
2 4
 
14.3%
1 15
53.6%
0 4
 
14.3%

Interactions

2023-12-13T06:11:11.655759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:11.450306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:11.758460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:11.564131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:11:14.048778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분종료년도시군구코드영업정지등록취소
처분종료년도1.0000.0000.1440.000
시군구코드0.0001.0000.5160.000
영업정지0.1440.5161.0000.223
등록취소0.0000.0000.2231.000
2023-12-13T06:11:14.159979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업정지처분종료년도
영업정지1.0000.000
처분종료년도0.0001.000
2023-12-13T06:11:14.264345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드등록취소처분종료년도영업정지
시군구코드1.0000.2240.0000.125
등록취소0.2241.0000.0000.000
처분종료년도0.0000.0001.0000.000
영업정지0.1250.0000.0001.000

Missing values

2023-12-13T06:11:11.898128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:11:12.024067image/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

처분종료년도시도코드시군구코드처분대상구분법원이송구분시정조치영업정지등록취소
02019111168000010
12018111111000001
22018111117000011
32018111144000003
42018111154500002
52018111165000002
620181111680000212
72018111171000001
82017111120000001
92017111121500001
처분종료년도시도코드시군구코드처분대상구분법원이송구분시정조치영업정지등록취소
182016111120000002
192016111129000001
202016111141000001
212016111144000001
222016111153000001
232016111154500001
242016111162000001
252016111165000012
262016111168000026
272016111171000003