Overview

Dataset statistics

Number of variables7
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory60.8 B

Variable types

Numeric2
Categorical4
Text1

Dataset

Description인천광역시 계양구 관내 구유 일반재산에 대한 데이터로, 연번, 재산 구분, 소재지 주소, 지목, 면적, 현황, 비고 등을 제공합니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15062427&srcSe=7661IVAWM27C61E190

Alerts

재산구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 면적(m2)High correlation
면적(m2) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
지목 is highly overall correlated with 면적(m2)High correlation
연번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-18 01:24:06.532020
Analysis finished2024-03-18 01:24:08.423119
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-18T10:24:08.494201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-03-18T10:24:08.638374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
일반재산
48 

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 48
100.0%

Length

2024-03-18T10:24:08.739343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:24:08.811840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 48
100.0%

소재지
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-18T10:24:09.015025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length19.020833
Min length17

Characters and Unicode

Total characters913
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 효성동 80-2
2nd row인천광역시 계양구 효성동 82-6
3rd row인천광역시 계양구 효성동 141-6
4th row인천광역시 계양구 효성동 168-10
5th row인천광역시 계양구 효성동 170-3
ValueCountFrequency (%)
인천광역시 48
25.0%
계양구 48
25.0%
효성동 12
 
6.2%
목상동 7
 
3.6%
작전동 5
 
2.6%
계산동 4
 
2.1%
이화동 3
 
1.6%
방축동 3
 
1.6%
병방동 3
 
1.6%
서운동 3
 
1.6%
Other values (53) 56
29.2%
2024-03-18T10:24:09.335572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
15.8%
계 52
 
5.7%
동 49
 
5.4%
양 49
 
5.4%
천 48
 
5.3%
구 48
 
5.3%
인 48
 
5.3%
시 48
 
5.3%
역 48
 
5.3%
광 48
 
5.3%
Other values (34) 331
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
58.2%
Decimal Number 190
 
20.8%
Space Separator 146
 
16.0%
Dash Punctuation 46
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 52
9.8%
동 49
9.2%
양 49
9.2%
천 48
9.0%
구 48
9.0%
인 48
9.0%
시 48
9.0%
역 48
9.0%
광 48
9.0%
효 12
 
2.3%
Other values (21) 81
15.3%
Decimal Number
ValueCountFrequency (%)
1 39
20.5%
2 26
13.7%
4 25
13.2%
5 19
10.0%
8 17
8.9%
0 16
8.4%
3 13
 
6.8%
7 13
 
6.8%
6 12
 
6.3%
9 10
 
5.3%
Space Separator
ValueCountFrequency (%)
144
98.6%
　 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
58.2%
Common 382
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 52
9.8%
동 49
9.2%
양 49
9.2%
천 48
9.0%
구 48
9.0%
인 48
9.0%
시 48
9.0%
역 48
9.0%
광 48
9.0%
효 12
 
2.3%
Other values (21) 81
15.3%
Common
ValueCountFrequency (%)
144
37.7%
- 46
 
12.0%
1 39
 
10.2%
2 26
 
6.8%
4 25
 
6.5%
5 19
 
5.0%
8 17
 
4.5%
0 16
 
4.2%
3 13
 
3.4%
7 13
 
3.4%
Other values (3) 24
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
58.2%
ASCII 380
41.6%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
37.9%
- 46
 
12.1%
1 39
 
10.3%
2 26
 
6.8%
4 25
 
6.6%
5 19
 
5.0%
8 17
 
4.5%
0 16
 
4.2%
3 13
 
3.4%
7 13
 
3.4%
Other values (2) 22
 
5.8%
Hangul
ValueCountFrequency (%)
계 52
9.8%
동 49
9.2%
양 49
9.2%
천 48
9.0%
구 48
9.0%
인 48
9.0%
시 48
9.0%
역 48
9.0%
광 48
9.0%
효 12
 
2.3%
Other values (21) 81
15.3%
None
ValueCountFrequency (%)
　 2
100.0%

지목
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
대
13 
전
11 
답
9 
잡
9 
임야
3 
Other values (3)
3 

Length

Max length2
Median length1
Mean length1.0833333
Min length1

Unique

Unique3 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
대 13
27.1%
전 11
22.9%
답 9
18.8%
잡 9
18.8%
임야 3
 
6.2%
도로 1
 
2.1%
학 1
 
2.1%
묘 1
 
2.1%

Length

2024-03-18T10:24:09.441430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:24:09.548055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 13
27.1%
전 11
22.9%
답 9
18.8%
잡 9
18.8%
임야 3
 
6.2%
도로 1
 
2.1%
학 1
 
2.1%
묘 1
 
2.1%

면적(m2)
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean412.55458
Minimum1
Maximum10116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-18T10:24:09.673337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17.75
median33.5
Q3227.55
95-th percentile1218.7
Maximum10116
Range10115
Interquartile range (IQR)219.8

Descriptive statistics

Standard deviation1493.044
Coefficient of variation (CV)3.6190217
Kurtosis40.0243
Mean412.55458
Median Absolute Deviation (MAD)30.5
Skewness6.1470117
Sum19802.62
Variance2229180.4
MonotonicityNot monotonic
2024-03-18T10:24:09.782769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3.0 4
 
8.3%
21.0 2
 
4.2%
5.0 2
 
4.2%
4.0 2
 
4.2%
1.0 2
 
4.2%
65.0 1
 
2.1%
10116.0 1
 
2.1%
1316.0 1
 
2.1%
21.32 1
 
2.1%
1038.0 1
 
2.1%
Other values (31) 31
64.6%
ValueCountFrequency (%)
1.0 2
4.2%
3.0 4
8.3%
4.0 2
4.2%
5.0 2
4.2%
6.0 1
 
2.1%
7.0 1
 
2.1%
8.0 1
 
2.1%
12.0 1
 
2.1%
13.0 1
 
2.1%
17.0 1
 
2.1%
ValueCountFrequency (%)
10116.0 1
2.1%
2473.9 1
2.1%
1316.0 1
2.1%
1038.0 1
2.1%
649.0 1
2.1%
644.4 1
2.1%
463.0 1
2.1%
383.7 1
2.1%
281.0 1
2.1%
250.0 1
2.1%

현황
Categorical

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
활용불가
32 
사용중
8 
대지
 
3
도로잔여지
 
3
화단
 
1

Length

Max length5
Median length4
Mean length3.6875
Min length2

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row화단
2nd row활용불가
3rd row나지
4th row활용불가
5th row활용불가

Common Values

ValueCountFrequency (%)
활용불가 32
66.7%
사용중 8
 
16.7%
대지 3
 
6.2%
도로잔여지 3
 
6.2%
화단 1
 
2.1%
나지 1
 
2.1%

Length

2024-03-18T10:24:09.892367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:24:09.982539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활용불가 32
66.7%
사용중 8
 
16.7%
대지 3
 
6.2%
도로잔여지 3
 
6.2%
화단 1
 
2.1%
나지 1
 
2.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-11
48 

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 48
100.0%

Length

2024-03-18T10:24:10.076686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:24:10.160937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-11 48
100.0%

Interactions

2024-03-18T10:24:08.148585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:24:07.988408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:24:08.208718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:24:08.091268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T10:24:10.201612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지지목면적(m2)현황
연번1.0001.0000.6380.4760.418
소재지1.0001.0001.0001.0001.000
지목0.6381.0001.0000.8840.626
면적(m2)0.4761.0000.8841.0000.000
현황0.4181.0000.6260.0001.000
2024-03-18T10:24:10.280006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현황지목
현황1.0000.397
지목0.3971.000
2024-03-18T10:24:10.356613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(m2)지목현황
연번1.0000.5480.3560.214
면적(m2)0.5481.0000.5440.000
지목0.3560.5441.0000.397
현황0.2140.0000.3971.000

Missing values

2024-03-18T10:24:08.294837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T10:24:08.383536image/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 80-2도로3.0화단2024-03-11
12일반재산인천광역시 계양구 효성동 82-6전3.0활용불가2024-03-11
23일반재산인천광역시 계양구 효성동 141-6전21.0나지2024-03-11
34일반재산인천광역시 계양구 효성동 168-10전13.0활용불가2024-03-11
45일반재산인천광역시 계양구 효성동 170-3전29.0활용불가2024-03-11
56일반재산인천광역시 계양구 효성동 172-5전27.0활용불가2024-03-11
67일반재산인천광역시 계양구 효성동 180-16전5.0활용불가2024-03-11
78일반재산인천광역시 계양구 효성동 181-5대5.0활용불가2024-03-11
89일반재산인천광역시 계양구 효성동 191-7전4.0활용불가2024-03-11
910일반재산인천광역시 계양구 효성동 228-2전48.0활용불가2024-03-11
연번재산구분소재지지목면적(m2)현황데이터기준일
3839일반재산인천광역시 계양구 이화동 154-2답65.0사용중2024-03-11
3940일반재산인천광역시 계양구 이화동 398-3전118.0사용중2024-03-11
4041일반재산인천광역시 계양구 이화동 241-5임야463.0활용불가2024-03-11
4142일반재산인천광역시 계양구 목상동 208잡2473.9활용불가2024-03-11
4243일반재산인천광역시 계양구 목상동 209-3잡90.0활용불가2024-03-11
4344일반재산인천광역시 계양구 목상동 209-4잡383.7활용불가2024-03-11
4445일반재산인천광역시 계양구 목상동 209-5잡214.0활용불가2024-03-11
4546일반재산인천광역시 계양구 목상동 209-7잡213.7활용불가2024-03-11
4647일반재산인천광역시 계양구 목상동 209-8잡644.4활용불가2024-03-11
4748일반재산인천광역시 계양구 목상동 212-1잡229.2활용불가2024-03-11