Overview

Dataset statistics

Number of variables6
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory52.0 B

Variable types

Numeric2
Categorical2
Text1
DateTime1

Dataset

Description인천광역시 서구 관내 시유 일반재산에 대한 데이터로, 연번, 재산 구분, 소재지 주소, 지목, 면적 등을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102421&srcSe=7661IVAWM27C61E190

Alerts

재산구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:02:31.693030
Analysis finished2024-01-28 11:02:32.478650
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-28T20:02:32.531608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2024-01-28T20:02:32.636172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
일반재산
67 

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 67
100.0%

Length

2024-01-28T20:02:32.737518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:02:32.825353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 67
100.0%

소재지
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-28T20:02:33.015481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.716418
Min length17

Characters and Unicode

Total characters1321
Distinct characters40
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

Unique67 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 백석동 57-17
2nd row인천광역시 서구 백석동 96-3
3rd row인천광역시 서구 백석동 97-5
4th row인천광역시 서구 백석동 101-17
5th row인천광역시 서구 백석동 101-19
ValueCountFrequency (%)
인천광역시 67
24.6%
서구 67
24.6%
백석동 21
 
7.7%
왕길동 14
 
5.1%
가좌동 9
 
3.3%
원창동 6
 
2.2%
석남동 5
 
1.8%
산 4
 
1.5%
경서동 3
 
1.1%
마전동 3
 
1.1%
Other values (71) 73
26.8%
2024-01-28T20:02:33.318405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
20.6%
1 89
 
6.7%
서 70
 
5.3%
인 67
 
5.1%
광 67
 
5.1%
역 67
 
5.1%
시 67
 
5.1%
구 67
 
5.1%
천 67
 
5.1%
동 67
 
5.1%
Other values (30) 421
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
51.0%
Decimal Number 309
23.4%
Space Separator 272
20.6%
Dash Punctuation 66
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 70
10.4%
인 67
9.9%
광 67
9.9%
역 67
9.9%
시 67
9.9%
구 67
9.9%
천 67
9.9%
동 67
9.9%
석 26
 
3.9%
백 21
 
3.1%
Other values (18) 88
13.1%
Decimal Number
ValueCountFrequency (%)
1 89
28.8%
2 38
12.3%
4 30
 
9.7%
3 29
 
9.4%
6 27
 
8.7%
7 22
 
7.1%
8 20
 
6.5%
9 19
 
6.1%
5 19
 
6.1%
0 16
 
5.2%
Space Separator
ValueCountFrequency (%)
272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 674
51.0%
Common 647
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 70
10.4%
인 67
9.9%
광 67
9.9%
역 67
9.9%
시 67
9.9%
구 67
9.9%
천 67
9.9%
동 67
9.9%
석 26
 
3.9%
백 21
 
3.1%
Other values (18) 88
13.1%
Common
ValueCountFrequency (%)
272
42.0%
1 89
 
13.8%
- 66
 
10.2%
2 38
 
5.9%
4 30
 
4.6%
3 29
 
4.5%
6 27
 
4.2%
7 22
 
3.4%
8 20
 
3.1%
9 19
 
2.9%
Other values (2) 35
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 674
51.0%
ASCII 647
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
42.0%
1 89
 
13.8%
- 66
 
10.2%
2 38
 
5.9%
4 30
 
4.6%
3 29
 
4.5%
6 27
 
4.2%
7 22
 
3.4%
8 20
 
3.1%
9 19
 
2.9%
Other values (2) 35
 
5.4%
Hangul
ValueCountFrequency (%)
서 70
10.4%
인 67
9.9%
광 67
9.9%
역 67
9.9%
시 67
9.9%
구 67
9.9%
천 67
9.9%
동 67
9.9%
석 26
 
3.9%
백 21
 
3.1%
Other values (18) 88
13.1%

지목
Categorical

Distinct9
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size668.0 B
답
17 
도로
13 
임야
10 
대
8 
잡종지
6 
Other values (4)
13 

Length

Max length4
Median length3
Mean length1.7761194
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구거
2nd row도로
3rd row도로
4th row임야
5th row도로

Common Values

ValueCountFrequency (%)
답 17
25.4%
도로 13
19.4%
임야 10
14.9%
대 8
11.9%
잡종지 6
 
9.0%
구거 5
 
7.5%
공원 3
 
4.5%
공장용지 3
 
4.5%
전 2
 
3.0%

Length

2024-01-28T20:02:33.442479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:02:33.533378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
답 17
25.4%
도로 13
19.4%
임야 10
14.9%
대 8
11.9%
잡종지 6
 
9.0%
구거 5
 
7.5%
공원 3
 
4.5%
공장용지 3
 
4.5%
전 2
 
3.0%

면적
Real number (ℝ)

Distinct58
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.64478
Minimum1.8
Maximum2753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-28T20:02:33.648675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile3
Q114.5
median64
Q3297.5
95-th percentile952.83
Maximum2753
Range2751.2
Interquartile range (IQR)283

Descriptive statistics

Standard deviation438.1052
Coefficient of variation (CV)1.7619723
Kurtosis16.191825
Mean248.64478
Median Absolute Deviation (MAD)57.6
Skewness3.5183789
Sum16659.2
Variance191936.17
MonotonicityNot monotonic
2024-01-28T20:02:33.761870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.0 5
 
7.5%
3.0 3
 
4.5%
9.3 2
 
3.0%
102.0 2
 
3.0%
2.0 2
 
3.0%
21.0 1
 
1.5%
27.0 1
 
1.5%
717.0 1
 
1.5%
1.8 1
 
1.5%
1245.6 1
 
1.5%
Other values (48) 48
71.6%
ValueCountFrequency (%)
1.8 1
 
1.5%
2.0 2
 
3.0%
3.0 3
4.5%
4.0 1
 
1.5%
6.0 1
 
1.5%
8.0 1
 
1.5%
9.3 2
 
3.0%
12.0 1
 
1.5%
13.0 5
7.5%
16.0 1
 
1.5%
ValueCountFrequency (%)
2753.0 1
1.5%
1414.0 1
1.5%
1245.6 1
1.5%
953.1 1
1.5%
952.2 1
1.5%
718.2 1
1.5%
717.0 1
1.5%
636.0 1
1.5%
616.0 1
1.5%
602.2 1
1.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2023-07-05 00:00:00
Maximum2023-07-05 00:00:00
2024-01-28T20:02:33.843039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:02:33.919699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T20:02:32.196232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:02:31.848655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:02:32.269746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:02:32.134068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:02:33.976497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지지목면적
연번1.0001.0000.7770.499
소재지1.0001.0001.0001.000
지목0.7771.0001.0000.519
면적0.4991.0000.5191.000
2024-01-28T20:02:34.045876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적지목
연번1.0000.1360.492
면적0.1361.0000.298
지목0.4920.2981.000

Missing values

2024-01-28T20:02:32.366299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:02:32.448956image/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

연번재산구분소재지지목면적데이터기준일
01일반재산인천광역시 서구 백석동 57-17구거616.02023-07-05
12일반재산인천광역시 서구 백석동 96-3도로26.02023-07-05
23일반재산인천광역시 서구 백석동 97-5도로36.02023-07-05
34일반재산인천광역시 서구 백석동 101-17임야178.02023-07-05
45일반재산인천광역시 서구 백석동 101-19도로194.02023-07-05
56일반재산인천광역시 서구 백석동 107-7도로40.02023-07-05
67일반재산인천광역시 서구 백석동 114-16답3.02023-07-05
78일반재산인천광역시 서구 백석동 114-23구거72.02023-07-05
89일반재산인천광역시 서구 백석동 114-24답62.02023-07-05
910일반재산인천광역시 서구 백석동 116-4구거18.02023-07-05
연번재산구분소재지지목면적데이터기준일
5758일반재산인천광역시 서구 왕길동 164-70대102.02023-07-05
5859일반재산인천광역시 서구 왕길동 164-91대4.02023-07-05
5960일반재산인천광역시 서구 왕길동 164-112답438.02023-07-05
6061일반재산인천광역시 서구 왕길동 377-5대42.02023-07-05
6162일반재산인천광역시 서구 왕길동 377-6전6.02023-07-05
6263일반재산인천광역시 서구 불로동 317-6임야301.02023-07-05
6364일반재산인천광역시 서구 백석동 산 51-3임야294.02023-07-05
6465일반재산인천광역시 서구 백석동 산 51-4임야371.02023-07-05
6566일반재산인천광역시 서구 석남동 산 118-9임야1414.02023-07-05
6667일반재산인천광역시 서구 석남동 산 118-12임야529.02023-07-05