Overview

Dataset statistics

Number of variables4
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory34.3 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description인천광역시 연수구 시유 일반재산 현황 데이터로서 순번, 재산종류, 소재지, 실지목 등의 항목으로 이루어져 있습니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15116403&srcSe=7661IVAWM27C61E190

Alerts

재산종류 has constant value ""Constant
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:53:29.089750
Analysis finished2024-01-28 09:53:29.389079
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-28T18:53:29.449219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.05
Q126.25
median51.5
Q376.75
95-th percentile96.95
Maximum102
Range101
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation29.588849
Coefficient of variation (CV)0.57454076
Kurtosis-1.2
Mean51.5
Median Absolute Deviation (MAD)25.5
Skewness0
Sum5253
Variance875.5
MonotonicityStrictly increasing
2024-01-28T18:53:29.566252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
66 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%

재산종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
일반재산
102 

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 102
100.0%

Length

2024-01-28T18:53:29.661807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:53:29.731378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 102
100.0%

소재지
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-28T18:53:29.942594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length19.137255
Min length17

Characters and Unicode

Total characters1952
Distinct characters28
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

Unique102 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 옥련동 산 32-22
2nd row인천광역시 연수구 옥련동 산 52-1
3rd row인천광역시 연수구 옥련동 64-47
4th row인천광역시 연수구 옥련동 79-2
5th row인천광역시 연수구 옥련동 79-14
ValueCountFrequency (%)
인천광역시 102
24.6%
연수구 102
24.6%
선학동 37
 
8.9%
옥련동 35
 
8.4%
동춘동 18
 
4.3%
청학동 10
 
2.4%
산 7
 
1.7%
연수동 2
 
0.5%
231 2
 
0.5%
868-12 1
 
0.2%
Other values (99) 99
23.9%
2024-01-28T18:53:30.294963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
313
16.0%
동 120
 
6.1%
연 104
 
5.3%
수 104
 
5.3%
인 102
 
5.2%
천 102
 
5.2%
광 102
 
5.2%
역 102
 
5.2%
시 102
 
5.2%
구 102
 
5.2%
Other values (18) 699
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1129
57.8%
Decimal Number 416
 
21.3%
Space Separator 313
 
16.0%
Dash Punctuation 94
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 120
10.6%
연 104
9.2%
수 104
9.2%
인 102
9.0%
천 102
9.0%
광 102
9.0%
역 102
9.0%
시 102
9.0%
구 102
9.0%
학 47
 
4.2%
Other values (6) 142
12.6%
Decimal Number
ValueCountFrequency (%)
1 88
21.2%
2 81
19.5%
3 55
13.2%
7 36
8.7%
5 34
 
8.2%
4 30
 
7.2%
0 25
 
6.0%
9 24
 
5.8%
6 22
 
5.3%
8 21
 
5.0%
Space Separator
ValueCountFrequency (%)
313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1129
57.8%
Common 823
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 120
10.6%
연 104
9.2%
수 104
9.2%
인 102
9.0%
천 102
9.0%
광 102
9.0%
역 102
9.0%
시 102
9.0%
구 102
9.0%
학 47
 
4.2%
Other values (6) 142
12.6%
Common
ValueCountFrequency (%)
313
38.0%
- 94
 
11.4%
1 88
 
10.7%
2 81
 
9.8%
3 55
 
6.7%
7 36
 
4.4%
5 34
 
4.1%
4 30
 
3.6%
0 25
 
3.0%
9 24
 
2.9%
Other values (2) 43
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1129
57.8%
ASCII 823
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
313
38.0%
- 94
 
11.4%
1 88
 
10.7%
2 81
 
9.8%
3 55
 
6.7%
7 36
 
4.4%
5 34
 
4.1%
4 30
 
3.6%
0 25
 
3.0%
9 24
 
2.9%
Other values (2) 43
 
5.2%
Hangul
ValueCountFrequency (%)
동 120
10.6%
연 104
9.2%
수 104
9.2%
인 102
9.0%
천 102
9.0%
광 102
9.0%
역 102
9.0%
시 102
9.0%
구 102
9.0%
학 47
 
4.2%
Other values (6) 142
12.6%

실지목
Categorical

Distinct11
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
도로
23 
전
21 
잡종지
16 
대
12 
임야
11 
Other values (6)
19 

Length

Max length4
Median length3
Mean length1.7745098
Min length1

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
도로 23
22.5%
전 21
20.6%
잡종지 16
15.7%
대 12
11.8%
임야 11
10.8%
답 10
9.8%
묘지 3
 
2.9%
공원 3
 
2.9%
제방 1
 
1.0%
창고용지 1
 
1.0%

Length

2024-01-28T18:53:30.414188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도로 23
22.5%
전 21
20.6%
잡종지 16
15.7%
대 12
11.8%
임야 11
10.8%
답 10
9.8%
묘지 3
 
2.9%
공원 3
 
2.9%
제방 1
 
1.0%
창고용지 1
 
1.0%

Interactions

2024-01-28T18:53:29.200334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:53:30.473748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번실지목
순번1.0000.549
실지목0.5491.000
2024-01-28T18:53:30.534360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번실지목
순번1.0000.267
실지목0.2671.000

Missing values

2024-01-28T18:53:29.297042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:53:29.362218image/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

순번재산종류소재지실지목
01일반재산인천광역시 연수구 옥련동 산 32-22임야
12일반재산인천광역시 연수구 옥련동 산 52-1묘지
23일반재산인천광역시 연수구 옥련동 64-47도로
34일반재산인천광역시 연수구 옥련동 79-2전
45일반재산인천광역시 연수구 옥련동 79-14전
56일반재산인천광역시 연수구 옥련동 80-17전
67일반재산인천광역시 연수구 옥련동 81-18대
78일반재산인천광역시 연수구 옥련동 82-2대
89일반재산인천광역시 연수구 옥련동 82-3전
910일반재산인천광역시 연수구 옥련동 91-1전
순번재산종류소재지실지목
9293일반재산인천광역시 연수구 동춘동 718-12도로
9394일반재산인천광역시 연수구 동춘동 720-4도로
9495일반재산인천광역시 연수구 동춘동 720-5도로
9596일반재산인천광역시 연수구 동춘동 744-2도로
9697일반재산인천광역시 연수구 동춘동 757-10도로
9798일반재산인천광역시 연수구 동춘동 773-3전
9899일반재산인천광역시 연수구 동춘동 868-12전
99100일반재산인천광역시 연수구 동춘동 868-13답
100101일반재산인천광역시 연수구 동춘동 916-8잡종지
101102일반재산인천광역시 연수구 동춘동 916-9잡종지