Overview

Dataset statistics

Number of variables6
Number of observations633
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.0 KiB
Average record size in memory50.2 B

Variable types

Numeric2
Text2
DateTime2

Dataset

Description공유재산 및 물품관리법에 따라 관리되고 있는 공유재산 건물 현황입니다. 재산명 및 소재지 연면적 취득일자 등을 제공합니다.
Author인천광역시 옹진군
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15122121&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:54:17.176417
Analysis finished2024-03-18 03:54:19.468404
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct633
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317
Minimum1
Maximum633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-03-18T12:54:19.565572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.6
Q1159
median317
Q3475
95-th percentile601.4
Maximum633
Range632
Interquartile range (IQR)316

Descriptive statistics

Standard deviation182.87564
Coefficient of variation (CV)0.57689477
Kurtosis-1.2
Mean317
Median Absolute Deviation (MAD)158
Skewness0
Sum200661
Variance33443.5
MonotonicityStrictly increasing
2024-03-18T12:54:19.696589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
426 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
421 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
427 1
 
0.2%
Other values (623) 623
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
633 1
0.2%
632 1
0.2%
631 1
0.2%
630 1
0.2%
629 1
0.2%
628 1
0.2%
627 1
0.2%
626 1
0.2%
625 1
0.2%
624 1
0.2%

재산명
Text

Distinct584
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-18T12:54:19.935106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length10.06951
Min length2

Characters and Unicode

Total characters6374
Distinct characters312
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique556 ?
Unique (%)87.8%

Sample

1st row구)보건소
2nd row친환경농업과학관
3rd row농업기술센터 경비실
4th row옹진군 농업기술센터
5th row구)청사(본관)
ValueCountFrequency (%)
경로당 56
 
4.6%
공중화장실 45
 
3.7%
다목적회관 17
 
1.4%
관사 15
 
1.2%
창고 13
 
1.1%
백령 12
 
1.0%
화장실 12
 
1.0%
마을회관 11
 
0.9%
대청 11
 
0.9%
덕적 10
 
0.8%
Other values (679) 1023
83.5%
2024-03-18T12:54:20.408615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
593
 
9.3%
장 283
 
4.4%
리 177
 
2.8%
사 163
 
2.6%
) 162
 
2.5%
관 160
 
2.5%
소 148
 
2.3%
화 145
 
2.3%
실 144
 
2.3%
공 128
 
2.0%
Other values (302) 4271
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5276
82.8%
Space Separator 593
 
9.3%
Decimal Number 221
 
3.5%
Close Punctuation 162
 
2.5%
Open Punctuation 115
 
1.8%
Uppercase Letter 5
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 283
 
5.4%
리 177
 
3.4%
사 163
 
3.1%
관 160
 
3.0%
소 148
 
2.8%
화 145
 
2.7%
실 144
 
2.7%
공 128
 
2.4%
동 121
 
2.3%
면 117
 
2.2%
Other values (284) 3690
69.9%
Decimal Number
ValueCountFrequency (%)
2 60
27.1%
1 59
26.7%
3 32
14.5%
5 20
 
9.0%
4 18
 
8.1%
6 12
 
5.4%
7 10
 
4.5%
8 5
 
2.3%
0 3
 
1.4%
9 2
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
B 2
40.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5277
82.8%
Common 1092
 
17.1%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 283
 
5.4%
리 177
 
3.4%
사 163
 
3.1%
관 160
 
3.0%
소 148
 
2.8%
화 145
 
2.7%
실 144
 
2.7%
공 128
 
2.4%
동 121
 
2.3%
면 117
 
2.2%
Other values (285) 3691
69.9%
Common
ValueCountFrequency (%)
593
54.3%
) 162
 
14.8%
( 115
 
10.5%
2 60
 
5.5%
1 59
 
5.4%
3 32
 
2.9%
5 20
 
1.8%
4 18
 
1.6%
6 12
 
1.1%
7 10
 
0.9%
Other values (4) 11
 
1.0%
Latin
ValueCountFrequency (%)
A 2
40.0%
B 2
40.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5276
82.8%
ASCII 1097
 
17.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
593
54.1%
) 162
 
14.8%
( 115
 
10.5%
2 60
 
5.5%
1 59
 
5.4%
3 32
 
2.9%
5 20
 
1.8%
4 18
 
1.6%
6 12
 
1.1%
7 10
 
0.9%
Other values (7) 16
 
1.5%
Hangul
ValueCountFrequency (%)
장 283
 
5.4%
리 177
 
3.4%
사 163
 
3.1%
관 160
 
3.0%
소 148
 
2.8%
화 145
 
2.7%
실 144
 
2.7%
공 128
 
2.4%
동 121
 
2.3%
면 117
 
2.2%
Other values (284) 3690
69.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지(지번)
Text

Distinct456
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-18T12:54:20.625628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length23.875197
Min length18

Characters and Unicode

Total characters15113
Distinct characters97
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

Unique364 ?
Unique (%)57.5%

Sample

1st row인천광역시 중구 신흥동3가 7-215
2nd row인천광역시 중구 신흥동3가 7-215
3rd row인천광역시 중구 신흥동3가 7-215
4th row인천광역시 중구 신흥동3가 7-215
5th row인천광역시 중구 신흥동3가 7-215
ValueCountFrequency (%)
인천광역시 633
19.5%
옹진군 622
19.2%
백령면 130
 
4.0%
영흥면 99
 
3.1%
덕적면 91
 
2.8%
연평면 80
 
2.5%
대청면 79
 
2.4%
연평리 79
 
2.4%
자월면 72
 
2.2%
북도면 72
 
2.2%
Other values (469) 1283
39.6%
2024-03-18T12:54:20.945621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3360
22.2%
진 722
 
4.8%
시 665
 
4.4%
인 634
 
4.2%
광 633
 
4.2%
역 633
 
4.2%
천 633
 
4.2%
면 624
 
4.1%
옹 622
 
4.1%
군 622
 
4.1%
Other values (87) 5965
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8818
58.3%
Space Separator 3360
 
22.2%
Decimal Number 2486
 
16.4%
Dash Punctuation 449
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 722
 
8.2%
시 665
 
7.5%
인 634
 
7.2%
광 633
 
7.2%
역 633
 
7.2%
천 633
 
7.2%
면 624
 
7.1%
옹 622
 
7.1%
군 622
 
7.1%
리 619
 
7.0%
Other values (75) 2411
27.3%
Decimal Number
ValueCountFrequency (%)
1 532
21.4%
2 322
13.0%
3 256
10.3%
7 225
9.1%
4 219
8.8%
6 216
8.7%
0 214
8.6%
5 178
 
7.2%
9 175
 
7.0%
8 149
 
6.0%
Space Separator
ValueCountFrequency (%)
3360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 449
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8818
58.3%
Common 6295
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 722
 
8.2%
시 665
 
7.5%
인 634
 
7.2%
광 633
 
7.2%
역 633
 
7.2%
천 633
 
7.2%
면 624
 
7.1%
옹 622
 
7.1%
군 622
 
7.1%
리 619
 
7.0%
Other values (75) 2411
27.3%
Common
ValueCountFrequency (%)
3360
53.4%
1 532
 
8.5%
- 449
 
7.1%
2 322
 
5.1%
3 256
 
4.1%
7 225
 
3.6%
4 219
 
3.5%
6 216
 
3.4%
0 214
 
3.4%
5 178
 
2.8%
Other values (2) 324
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8818
58.3%
ASCII 6295
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3360
53.4%
1 532
 
8.5%
- 449
 
7.1%
2 322
 
5.1%
3 256
 
4.1%
7 225
 
3.6%
4 219
 
3.5%
6 216
 
3.4%
0 214
 
3.4%
5 178
 
2.8%
Other values (2) 324
 
5.1%
Hangul
ValueCountFrequency (%)
진 722
 
8.2%
시 665
 
7.5%
인 634
 
7.2%
광 633
 
7.2%
역 633
 
7.2%
천 633
 
7.2%
면 624
 
7.1%
옹 622
 
7.1%
군 622
 
7.1%
리 619
 
7.0%
Other values (75) 2411
27.3%

연면적(제곱미터)
Real number (ℝ)

Distinct490
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.57348
Minimum3.3
Maximum14954.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-03-18T12:54:21.066627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile15.6
Q156.2
median141.82
Q3324.78
95-th percentile1206.404
Maximum14954.14
Range14950.84
Interquartile range (IQR)268.58

Descriptive statistics

Standard deviation1075.8942
Coefficient of variation (CV)2.9350028
Kurtosis92.953278
Mean366.57348
Median Absolute Deviation (MAD)98.08
Skewness8.8835723
Sum232041.01
Variance1157548.3
MonotonicityNot monotonic
2024-03-18T12:54:21.189358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 11
 
1.7%
330.0 9
 
1.4%
50.0 7
 
1.1%
66.0 7
 
1.1%
198.0 6
 
0.9%
50.4 6
 
0.9%
165.0 5
 
0.8%
50.22 4
 
0.6%
9950.99 4
 
0.6%
24.0 4
 
0.6%
Other values (480) 570
90.0%
ValueCountFrequency (%)
3.3 1
 
0.2%
4.0 3
0.5%
4.2 1
 
0.2%
4.4 1
 
0.2%
6.0 2
0.3%
9.0 1
 
0.2%
9.6 1
 
0.2%
10.85 2
0.3%
12.0 1
 
0.2%
12.5 1
 
0.2%
ValueCountFrequency (%)
14954.14 1
 
0.2%
9950.99 4
0.6%
6083.0 1
 
0.2%
3536.12 1
 
0.2%
3430.13 1
 
0.2%
2866.36 1
 
0.2%
2737.0 1
 
0.2%
2560.65 3
0.5%
2310.19 1
 
0.2%
2021.32 1
 
0.2%

취득일자
Date

Distinct441
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum1969-07-01 00:00:00
Maximum2022-12-31 00:00:00
2024-03-18T12:54:21.312007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:54:21.444541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2023-08-31 00:00:00
Maximum2023-08-31 00:00:00
2024-03-18T12:54:21.583437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:54:21.662528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T12:54:18.947201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:54:18.639421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:54:19.081309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:54:18.821162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:54:21.726328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번연면적(제곱미터)
순번1.0000.195
연면적(제곱미터)0.1951.000
2024-03-18T12:54:21.811663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번연면적(제곱미터)
순번1.000-0.136
연면적(제곱미터)-0.1361.000

Missing values

2024-03-18T12:54:19.262776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:54:19.404250image/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

순번재산명소재지(지번)연면적(제곱미터)취득일자데이터기준일
01구)보건소인천광역시 중구 신흥동3가 7-215916.11996-11-062023-08-31
12친환경농업과학관인천광역시 중구 신흥동3가 7-2151230.591996-11-062023-08-31
23농업기술센터 경비실인천광역시 중구 신흥동3가 7-21554.02016-01-012023-08-31
34옹진군 농업기술센터인천광역시 중구 신흥동3가 7-2153430.131996-11-062023-08-31
45구)청사(본관)인천광역시 중구 신흥동3가 7-2153536.121996-11-062023-08-31
56제2옹진장학관인천광역시 중구 전동 19-49 외 2필지1186.62021-11-012023-08-31
67공보의 관사인천광역시 미추홀구 용현동 573-275.252001-06-282023-08-31
78옹진군청인천광역시 미추홀구 용현동 627-60814954.142006-04-202023-08-31
89옹진군 보건소인천광역시 미추홀구 용현동 627-6082737.02019-12-302023-08-31
910옹진군청 경비실인천광역시 미추홀구 용현동 627-60829.412006-04-202023-08-31
순번재산명소재지(지번)연면적(제곱미터)취득일자데이터기준일
623624등대공원화장실인천광역시 옹진군 연평면 연평리 산 10-11519.392002-07-182023-08-31
624625등대공원 관리소인천광역시 옹진군 연평면 연평리 산 10-11518.02010-03-022023-08-31
625626안보수호탑인천광역시 옹진군 연평면 연평리 산 10-11570.02012-11-262023-08-31
626627가래칠기공중화장실인천광역시 옹진군 연평면 연평리 산 10-11550.02010-03-292023-08-31
627628연평 평화전망대인천광역시 옹진군 연평면 연평리 산 10-150397.972021-01-012023-08-31
628629연평면 여객대합실인천광역시 옹진군 연평면 연평리 산 16-1402.312013-01-212023-08-31
629630연평면 공영자전거 대여소인천광역시 옹진군 연평면 연평리 산 16-166.02011-02-102023-08-31
630631당섬선착장 공중화장실인천광역시 옹진군 연평면 연평리 산 16-146.22002-06-282023-08-31
631632당섬공중화장실인천광역시 옹진군 연평면 연평리 산 16-154.812002-07-182023-08-31
632633선원숙소인천광역시 옹진군 연평면 연평리 산 16-2114.01999-12-082023-08-31