Overview

Dataset statistics

Number of variables6
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory54.4 B

Variable types

Numeric2
Categorical2
Text1
DateTime1

Dataset

Description인천광역시 서구 관내 구유 일반재산에 대한 데이터로 연번, 재산 구분, 소재지, 지목, 면적 등을 제공하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102420&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 12:29:36.879729
Analysis finished2024-01-28 12:29:37.458751
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-28T21:29:37.508454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-01-28T21:29:37.603822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
일반재산
30 

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 30
100.0%

Length

2024-01-28T21:29:37.703702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:29:37.777273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 30
100.0%

소재지
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-28T21:29:37.909049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.8
Min length17

Characters and Unicode

Total characters564
Distinct characters38
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

Unique30 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 백석동 65-5
2nd row인천광역시 서구 백석동 66-3
3rd row인천광역시 서구 백석동 76-23
4th row인천광역시 서구 백석동 80-60
5th row인천광역시 서구 백석동 81-11
ValueCountFrequency (%)
인천광역시 30
24.6%
서구 30
24.6%
백석동 11
 
9.0%
마전동 7
 
5.7%
검암동 3
 
2.5%
불로동 2
 
1.6%
왕길동 2
 
1.6%
산 2
 
1.6%
대곡동 2
 
1.6%
66-3 1
 
0.8%
Other values (32) 32
26.2%
2024-01-28T21:29:38.171543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
21.6%
인 30
 
5.3%
동 30
 
5.3%
광 30
 
5.3%
역 30
 
5.3%
시 30
 
5.3%
서 30
 
5.3%
구 30
 
5.3%
천 30
 
5.3%
- 27
 
4.8%
Other values (28) 175
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
53.5%
Space Separator 122
21.6%
Decimal Number 113
 
20.0%
Dash Punctuation 27
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 30
9.9%
동 30
9.9%
광 30
9.9%
역 30
9.9%
시 30
9.9%
서 30
9.9%
구 30
9.9%
천 30
9.9%
석 11
 
3.6%
백 11
 
3.6%
Other values (16) 40
13.2%
Decimal Number
ValueCountFrequency (%)
1 21
18.6%
5 17
15.0%
2 15
13.3%
6 14
12.4%
3 13
11.5%
8 10
8.8%
4 8
 
7.1%
9 7
 
6.2%
7 4
 
3.5%
0 4
 
3.5%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
53.5%
Common 262
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 30
9.9%
동 30
9.9%
광 30
9.9%
역 30
9.9%
시 30
9.9%
서 30
9.9%
구 30
9.9%
천 30
9.9%
석 11
 
3.6%
백 11
 
3.6%
Other values (16) 40
13.2%
Common
ValueCountFrequency (%)
122
46.6%
- 27
 
10.3%
1 21
 
8.0%
5 17
 
6.5%
2 15
 
5.7%
6 14
 
5.3%
3 13
 
5.0%
8 10
 
3.8%
4 8
 
3.1%
9 7
 
2.7%
Other values (2) 8
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
53.5%
ASCII 262
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
46.6%
- 27
 
10.3%
1 21
 
8.0%
5 17
 
6.5%
2 15
 
5.7%
6 14
 
5.3%
3 13
 
5.0%
8 10
 
3.8%
4 8
 
3.1%
9 7
 
2.7%
Other values (2) 8
 
3.1%
Hangul
ValueCountFrequency (%)
인 30
9.9%
동 30
9.9%
광 30
9.9%
역 30
9.9%
시 30
9.9%
서 30
9.9%
구 30
9.9%
천 30
9.9%
석 11
 
3.6%
백 11
 
3.6%
Other values (16) 40
13.2%

지목
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
답
7 
대
6 
잡종지
6 
전
5 
도로
3 

Length

Max length3
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도로
2nd row도로
3rd row임야
4th row대
5th row답

Common Values

ValueCountFrequency (%)
답 7
23.3%
대 6
20.0%
잡종지 6
20.0%
전 5
16.7%
도로 3
10.0%
임야 3
10.0%

Length

2024-01-28T21:29:38.293351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:29:38.402529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
답 7
23.3%
대 6
20.0%
잡종지 6
20.0%
전 5
16.7%
도로 3
10.0%
임야 3
10.0%

면적
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.21
Minimum2
Maximum3937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-28T21:29:38.514361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.45
Q136.05
median80.5
Q3273.3
95-th percentile2307.39
Maximum3937
Range3935
Interquartile range (IQR)237.25

Descriptive statistics

Standard deviation943.56555
Coefficient of variation (CV)2.3459525
Kurtosis11.063093
Mean402.21
Median Absolute Deviation (MAD)76
Skewness3.4250933
Sum12066.3
Variance890315.95
MonotonicityNot monotonic
2024-01-28T21:29:38.639658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4.0 2
 
6.7%
7.0 1
 
3.3%
161.0 1
 
3.3%
131.0 1
 
3.3%
58.0 1
 
3.3%
346.0 1
 
3.3%
83.0 1
 
3.3%
640.0 1
 
3.3%
287.3 1
 
3.3%
598.0 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2.0 1
3.3%
3.0 1
3.3%
4.0 2
6.7%
5.0 1
3.3%
7.0 1
3.3%
33.0 1
3.3%
35.4 1
3.3%
38.0 1
3.3%
41.2 1
3.3%
47.0 1
3.3%
ValueCountFrequency (%)
3937.0 1
3.3%
3660.0 1
3.3%
654.2 1
3.3%
640.0 1
3.3%
598.0 1
3.3%
437.9 1
3.3%
346.0 1
3.3%
287.3 1
3.3%
231.3 1
3.3%
170.5 1
3.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-07-05 00:00:00
Maximum2023-07-05 00:00:00
2024-01-28T21:29:38.734458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:29:38.808457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T21:29:37.158780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:29:37.021834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:29:37.230384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:29:37.089508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:29:38.875157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지지목면적
연번1.0001.0000.6500.711
소재지1.0001.0001.0001.000
지목0.6501.0001.0000.770
면적0.7111.0000.7701.000
2024-01-28T21:29:38.951307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적지목
연번1.0000.4570.365
면적0.4571.0000.418
지목0.3650.4181.000

Missing values

2024-01-28T21:29:37.338050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:29:37.426971image/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 65-5도로7.02023-07-05
12일반재산인천광역시 서구 백석동 66-3도로4.02023-07-05
23일반재산인천광역시 서구 백석동 76-23임야38.02023-07-05
34일반재산인천광역시 서구 백석동 80-60대4.02023-07-05
45일반재산인천광역시 서구 백석동 81-11답5.02023-07-05
56일반재산인천광역시 서구 백석동 81-12답33.02023-07-05
67일반재산인천광역시 서구 백석동 149-13전116.02023-07-05
78일반재산인천광역시 서구 백석동 164-3답78.02023-07-05
89일반재산인천광역시 서구 백석동 165-2전47.02023-07-05
910일반재산인천광역시 서구 백석동 산 8-4임야3937.02023-07-05
연번재산구분소재지지목면적데이터기준일
2021일반재산인천광역시 서구 마전동 921-4잡종지123.52023-07-05
2122일반재산인천광역시 서구 마전동 921-8대437.92023-07-05
2223일반재산인천광역시 서구 당하동 753전598.02023-07-05
2324일반재산인천광역시 서구 대곡동 252-3대287.32023-07-05
2425일반재산인천광역시 서구 대곡동 543-7답640.02023-07-05
2526일반재산인천광역시 서구 금곡동 155-2전83.02023-07-05
2627일반재산인천광역시 서구 왕길동 253잡종지346.02023-07-05
2728일반재산인천광역시 서구 왕길동 253-6잡종지58.02023-07-05
2829일반재산인천광역시 서구 불로동 55-1답131.02023-07-05
2930일반재산인천광역시 서구 불로동 104-8답161.02023-07-05