Overview

Dataset statistics

Number of variables7
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory60.9 B

Variable types

Numeric2
Categorical4
Text1

Dataset

Description인천광역시 계양구 관내 시유 일반재산에 대한 데이터로, 연번, 재산 구분, 소재지 주소, 지목, 면적, 현황, 비고 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15062429/fileData.do

Alerts

재산구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
면적(m2) is highly overall correlated with 현황High correlation
현황 is highly overall correlated with 면적(m2)High correlation
연번 has unique valuesUnique
소재지 has unique valuesUnique
면적(m2) has 1 (2.2%) zerosZeros

Reproduction

Analysis started2024-03-16 04:15:48.283800
Analysis finished2024-03-16 04:15:49.697034
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-03-16T13:15:49.826797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2024-03-16T13:15:50.142915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
일반재산
46 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반재산 46
100.0%

Length

2024-03-16T13:15:50.400740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:50.556968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 46
100.0%

소재지
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-16T13:15:50.800054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.23913
Min length17

Characters and Unicode

Total characters885
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 효성동 99-6
2nd row인천광역시 계양구 효성동 67-5
3rd row인천광역시 계양구 효성동 67-1
4th row인천광역시 계양구 효성동 513-4
5th row인천광역시 계양구 효성동 296-3
ValueCountFrequency (%)
인천광역시 46
25.0%
계양구 46
25.0%
효성동 26
14.1%
병방동 8
 
4.3%
계산동 5
 
2.7%
서운동 4
 
2.2%
작전동 2
 
1.1%
901-6 1
 
0.5%
26-22 1
 
0.5%
548-13 1
 
0.5%
Other values (44) 44
23.9%
2024-03-16T13:15:51.318633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
15.6%
1 53
 
6.0%
계 51
 
5.8%
인 46
 
5.2%
동 46
 
5.2%
양 46
 
5.2%
구 46
 
5.2%
시 46
 
5.2%
역 46
 
5.2%
광 46
 
5.2%
Other values (22) 321
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
57.2%
Decimal Number 196
 
22.1%
Space Separator 138
 
15.6%
Dash Punctuation 45
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 51
10.1%
인 46
9.1%
동 46
9.1%
양 46
9.1%
구 46
9.1%
시 46
9.1%
역 46
9.1%
광 46
9.1%
천 46
9.1%
효 26
5.1%
Other values (10) 61
12.1%
Decimal Number
ValueCountFrequency (%)
1 53
27.0%
2 24
12.2%
3 21
 
10.7%
7 21
 
10.7%
4 17
 
8.7%
6 17
 
8.7%
5 13
 
6.6%
8 11
 
5.6%
0 10
 
5.1%
9 9
 
4.6%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
57.2%
Common 379
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 51
10.1%
인 46
9.1%
동 46
9.1%
양 46
9.1%
구 46
9.1%
시 46
9.1%
역 46
9.1%
광 46
9.1%
천 46
9.1%
효 26
5.1%
Other values (10) 61
12.1%
Common
ValueCountFrequency (%)
138
36.4%
1 53
 
14.0%
- 45
 
11.9%
2 24
 
6.3%
3 21
 
5.5%
7 21
 
5.5%
4 17
 
4.5%
6 17
 
4.5%
5 13
 
3.4%
8 11
 
2.9%
Other values (2) 19
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
57.2%
ASCII 379
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
36.4%
1 53
 
14.0%
- 45
 
11.9%
2 24
 
6.3%
3 21
 
5.5%
7 21
 
5.5%
4 17
 
4.5%
6 17
 
4.5%
5 13
 
3.4%
8 11
 
2.9%
Other values (2) 19
 
5.0%
Hangul
ValueCountFrequency (%)
계 51
10.1%
인 46
9.1%
동 46
9.1%
양 46
9.1%
구 46
9.1%
시 46
9.1%
역 46
9.1%
광 46
9.1%
천 46
9.1%
효 26
5.1%
Other values (10) 61
12.1%

지목
Categorical

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
대
18 
전
13 
답
6 
종교용지
3 
도로
3 
Other values (3)
3 

Length

Max length4
Median length1
Mean length1.3478261
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row전
2nd row전
3rd row전
4th row대
5th row전

Common Values

ValueCountFrequency (%)
대 18
39.1%
전 13
28.3%
답 6
 
13.0%
종교용지 3
 
6.5%
도로 3
 
6.5%
잡종지 1
 
2.2%
구거 1
 
2.2%
임야 1
 
2.2%

Length

2024-03-16T13:15:51.531291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:51.788623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 18
39.1%
전 13
28.3%
답 6
 
13.0%
종교용지 3
 
6.5%
도로 3
 
6.5%
잡종지 1
 
2.2%
구거 1
 
2.2%
임야 1
 
2.2%

면적(m2)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean513.06522
Minimum0
Maximum11063
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-03-16T13:15:52.051553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median39
Q3122.5
95-th percentile1323.75
Maximum11063
Range11063
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation2005.7128
Coefficient of variation (CV)3.9092746
Kurtosis21.782606
Mean513.06522
Median Absolute Deviation (MAD)36.5
Skewness4.693314
Sum23601
Variance4022883.9
MonotonicityNot monotonic
2024-03-16T13:15:52.295643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 3
 
6.5%
2 3
 
6.5%
8 2
 
4.3%
34 2
 
4.3%
85 2
 
4.3%
129 1
 
2.2%
26 1
 
2.2%
3 1
 
2.2%
22 1
 
2.2%
44 1
 
2.2%
Other values (29) 29
63.0%
ValueCountFrequency (%)
0 1
 
2.2%
1 3
6.5%
2 3
6.5%
3 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
7 1
 
2.2%
8 2
4.3%
9 1
 
2.2%
16 1
 
2.2%
ValueCountFrequency (%)
11063 1
2.2%
8225 1
2.2%
1631 1
2.2%
402 1
2.2%
236 1
2.2%
212 1
2.2%
161 1
2.2%
152 1
2.2%
136 1
2.2%
134 1
2.2%

현황
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
활용불가
28 
대부중
6 
변상금부과
3 
활용불가(등산로)
 
1
활용불가
 
1
Other values (7)
7 

Length

Max length12
Median length4
Mean length4.826087
Min length3

Unique

Unique9 ?
Unique (%)19.6%

Sample

1st row활용불가(등산로)
2nd row활용불가
3rd row활용불가
4th row활용불가(쉼터조성)
5th row대부중

Common Values

ValueCountFrequency (%)
활용불가 28
60.9%
대부중 6
 
13.0%
변상금부과 3
 
6.5%
활용불가(등산로) 1
 
2.2%
활용불가 1
 
2.2%
활용불가(쉼터조성) 1
 
2.2%
활용불가(공유지분) 1
 
2.2%
매각대상 1
 
2.2%
활용불가(도로) 1
 
2.2%
활용불가(양수장 有) 1
 
2.2%
Other values (2) 2
 
4.3%

Length

2024-03-16T13:15:52.548802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
활용불가 29
61.7%
대부중 6
 
12.8%
변상금부과 3
 
6.4%
활용불가(등산로 1
 
2.1%
활용불가(쉼터조성 1
 
2.1%
활용불가(공유지분 1
 
2.1%
매각대상 1
 
2.1%
활용불가(도로 1
 
2.1%
활용불가(양수장 1
 
2.1%
有 1
 
2.1%
Other values (2) 2
 
4.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-11
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-11
2nd row2024-03-11
3rd row2024-03-11
4th row2024-03-11
5th row2024-03-11

Common Values

ValueCountFrequency (%)
2024-03-11 46
100.0%

Length

2024-03-16T13:15:52.721256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:52.870304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-11 46
100.0%

Interactions

2024-03-16T13:15:48.970237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:48.747692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:49.103484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:48.858204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:15:52.970474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지지목면적(m2)현황
연번1.0001.0000.5690.0000.511
소재지1.0001.0001.0001.0001.000
지목0.5691.0001.0000.8290.774
면적(m2)0.0001.0000.8291.0001.000
현황0.5111.0000.7741.0001.000
2024-03-16T13:15:53.142124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현황지목
현황1.0000.431
지목0.4311.000
2024-03-16T13:15:53.269522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(m2)지목현황
연번1.0000.1280.3180.219
면적(m2)0.1281.0000.4710.900
지목0.3180.4711.0000.431
현황0.2190.9000.4311.000

Missing values

2024-03-16T13:15:49.335185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:15:49.582255image/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

연번재산구분소재지지목면적(m2)현황데이터기준일
01일반재산인천광역시 계양구 효성동 99-6전1631활용불가(등산로)2024-03-11
12일반재산인천광역시 계양구 효성동 67-5전77활용불가2024-03-11
23일반재산인천광역시 계양구 효성동 67-1전5활용불가2024-03-11
34일반재산인천광역시 계양구 효성동 513-4대402활용불가(쉼터조성)2024-03-11
45일반재산인천광역시 계양구 효성동 296-3전236대부중2024-03-11
56일반재산인천광역시 계양구 효성동 278-15전212대부중2024-03-11
67일반재산인천광역시 계양구 효성동 278-10전34활용불가(공유지분)2024-03-11
78일반재산인천광역시 계양구 효성동 254-4답0활용불가2024-03-11
89일반재산인천광역시 계양구 효성동 250-7대7활용불가2024-03-11
910일반재산인천광역시 계양구 효성동 170-1대17활용불가2024-03-11
연번재산구분소재지지목면적(m2)현황데이터기준일
3637일반재산인천광역시 계양구 병방동 71-1답152변상금부과2024-03-11
3738일반재산인천광역시 계양구 병방동 433-3잡종지161활용불가(양수장 有)2024-03-11
3839일반재산인천광역시 계양구 병방동 28-21답48대부중2024-03-11
3940일반재산인천광역시 계양구 병방동 27-2답130대부중2024-03-11
4041일반재산인천광역시 계양구 병방동 184-10전61활용불가2024-03-11
4142일반재산인천광역시 계양구 계산동 987-15대136대부중2024-03-11
4243일반재산인천광역시 계양구 계산동 901-6구거28활용불가2024-03-11
4344일반재산인천광역시 계양구 계산동 724대8225활용불가(계양문화회관)2024-03-11
4445일반재산인천광역시 계양구 계산동 548-13임야11063활용불가(임야)2024-03-11
4546일반재산인천광역시 계양구 계산동 288-4답2활용불가2024-03-11