Overview

Dataset statistics

Number of variables5
Number of observations172
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory41.8 B

Variable types

Text2
Categorical2
Numeric1

Dataset

Description서울특별시 동대문구 구유재 공공건축물의 현황정보(연번, 건물명, 주소, 건물구분코드, 연면적, 데이터기준일)에 대한 데이터를 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15112846/fileData.do

Alerts

데이터기준일 has constant value ""Constant
재산명 has unique valuesUnique

Reproduction

Analysis started2024-04-17 11:55:44.841980
Analysis finished2024-04-17 11:55:45.216884
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산명
Text

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-17T20:55:45.349284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.7267442
Min length4

Characters and Unicode

Total characters1501
Distinct characters217
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st row전농1.2빗물펌프장 변전실
2nd row전농1빗물펌프장
3rd row전농2빗물펌프장
4th row장안 빗물펌프장
5th row신설동경로당
ValueCountFrequency (%)
어린이집 15
 
6.1%
공영주차장 7
 
2.8%
공중화장실 6
 
2.4%
구립 3
 
1.2%
경로당 3
 
1.2%
독서실 2
 
0.8%
청소년 2
 
0.8%
휘경 2
 
0.8%
청량리동 2
 
0.8%
휴게실용 2
 
0.8%
Other values (200) 203
82.2%
2024-04-17T20:55:45.632884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
5.0%
이 53
 
3.5%
장 52
 
3.5%
동 46
 
3.1%
어 44
 
2.9%
린 42
 
2.8%
경 42
 
2.8%
센 37
 
2.5%
집 37
 
2.5%
터 36
 
2.4%
Other values (207) 1037
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1360
90.6%
Space Separator 75
 
5.0%
Decimal Number 37
 
2.5%
Open Punctuation 12
 
0.8%
Close Punctuation 12
 
0.8%
Dash Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 53
 
3.9%
장 52
 
3.8%
동 46
 
3.4%
어 44
 
3.2%
린 42
 
3.1%
경 42
 
3.1%
센 37
 
2.7%
집 37
 
2.7%
터 36
 
2.6%
주 31
 
2.3%
Other values (196) 940
69.1%
Decimal Number
ValueCountFrequency (%)
2 17
45.9%
1 16
43.2%
3 3
 
8.1%
4 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1360
90.6%
Common 139
 
9.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 53
 
3.9%
장 52
 
3.8%
동 46
 
3.4%
어 44
 
3.2%
린 42
 
3.1%
경 42
 
3.1%
센 37
 
2.7%
집 37
 
2.7%
터 36
 
2.6%
주 31
 
2.3%
Other values (196) 940
69.1%
Common
ValueCountFrequency (%)
75
54.0%
2 17
 
12.2%
1 16
 
11.5%
( 12
 
8.6%
) 12
 
8.6%
3 3
 
2.2%
- 2
 
1.4%
. 1
 
0.7%
4 1
 
0.7%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1360
90.6%
ASCII 141
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
53.2%
2 17
 
12.1%
1 16
 
11.3%
( 12
 
8.5%
) 12
 
8.5%
3 3
 
2.1%
- 2
 
1.4%
. 1
 
0.7%
A 1
 
0.7%
B 1
 
0.7%
Hangul
ValueCountFrequency (%)
이 53
 
3.9%
장 52
 
3.8%
동 46
 
3.4%
어 44
 
3.2%
린 42
 
3.1%
경 42
 
3.1%
센 37
 
2.7%
집 37
 
2.7%
터 36
 
2.6%
주 31
 
2.3%
Other values (196) 940
69.1%

주소
Text

Distinct158
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-17T20:55:45.969837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length21.703488
Min length18

Characters and Unicode

Total characters3733
Distinct characters85
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

Unique149 ?
Unique (%)86.6%

Sample

1st row서울특별시 성동구 송정동 78-1
2nd row서울특별시 성동구 송정동 78-1
3rd row서울특별시 성동구 송정동 78-1
4th row서울특별시 성동구 송정동 78-1
5th row서울특별시 동대문구 신설동 92-14
ValueCountFrequency (%)
서울특별시 170
23.9%
동대문구 166
23.3%
장안동 37
 
5.2%
답십리동 28
 
3.9%
전농동 23
 
3.2%
제기동 18
 
2.5%
용두동 15
 
2.1%
이문동 13
 
1.8%
휘경동 13
 
1.8%
청량리동 10
 
1.4%
Other values (181) 218
30.7%
2024-04-17T20:55:46.379854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
708
19.0%
동 344
 
9.2%
문 179
 
4.8%
시 171
 
4.6%
서 170
 
4.6%
특 170
 
4.6%
별 170
 
4.6%
울 170
 
4.6%
구 170
 
4.6%
대 166
 
4.4%
Other values (75) 1315
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2150
57.6%
Decimal Number 736
 
19.7%
Space Separator 708
 
19.0%
Dash Punctuation 139
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 344
16.0%
문 179
8.3%
시 171
8.0%
서 170
7.9%
특 170
7.9%
별 170
7.9%
울 170
7.9%
구 170
7.9%
대 166
7.7%
리 41
 
1.9%
Other values (63) 399
18.6%
Decimal Number
ValueCountFrequency (%)
1 127
17.3%
3 96
13.0%
2 86
11.7%
4 80
10.9%
0 66
9.0%
5 59
8.0%
8 59
8.0%
6 55
7.5%
9 55
7.5%
7 53
7.2%
Space Separator
ValueCountFrequency (%)
708
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2150
57.6%
Common 1583
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 344
16.0%
문 179
8.3%
시 171
8.0%
서 170
7.9%
특 170
7.9%
별 170
7.9%
울 170
7.9%
구 170
7.9%
대 166
7.7%
리 41
 
1.9%
Other values (63) 399
18.6%
Common
ValueCountFrequency (%)
708
44.7%
- 139
 
8.8%
1 127
 
8.0%
3 96
 
6.1%
2 86
 
5.4%
4 80
 
5.1%
0 66
 
4.2%
5 59
 
3.7%
8 59
 
3.7%
6 55
 
3.5%
Other values (2) 108
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2150
57.6%
ASCII 1583
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
708
44.7%
- 139
 
8.8%
1 127
 
8.0%
3 96
 
6.1%
2 86
 
5.4%
4 80
 
5.1%
0 66
 
4.2%
5 59
 
3.7%
8 59
 
3.7%
6 55
 
3.5%
Other values (2) 108
 
6.8%
Hangul
ValueCountFrequency (%)
동 344
16.0%
문 179
8.3%
시 171
8.0%
서 170
7.9%
특 170
7.9%
별 170
7.9%
울 170
7.9%
구 170
7.9%
대 166
7.7%
리 41
 
1.9%
Other values (63) 399
18.6%

건물구분코드
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
사무소
99 
기타
64 
주택
 
9

Length

Max length3
Median length3
Mean length2.5755814
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row기타
4th row기타
5th row사무소

Common Values

ValueCountFrequency (%)
사무소 99
57.6%
기타 64
37.2%
주택 9
 
5.2%

Length

2024-04-17T20:55:46.490105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:55:46.573134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사무소 99
57.6%
기타 64
37.2%
주택 9
 
5.2%

연면적
Real number (ℝ)

Distinct168
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1240.9082
Minimum11.57
Maximum34511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-17T20:55:46.665999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.57
5-th percentile59.2515
Q1141.1125
median497.26
Q31135.07
95-th percentile4064.6715
Maximum34511
Range34499.43
Interquartile range (IQR)993.9575

Descriptive statistics

Standard deviation3089.3381
Coefficient of variation (CV)2.4895783
Kurtosis81.23486
Mean1240.9082
Median Absolute Deviation (MAD)383.11
Skewness8.1124857
Sum213436.21
Variance9544010.2
MonotonicityNot monotonic
2024-04-17T20:55:46.775117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.99 2
 
1.2%
84.96 2
 
1.2%
99.63 2
 
1.2%
689.2 2
 
1.2%
792.85 1
 
0.6%
140.04 1
 
0.6%
137.75 1
 
0.6%
804.9 1
 
0.6%
323.48 1
 
0.6%
620.9 1
 
0.6%
Other values (158) 158
91.9%
ValueCountFrequency (%)
11.57 1
0.6%
19.8 1
0.6%
23.22 1
0.6%
36.0 1
0.6%
45.45 1
0.6%
51.4 1
0.6%
52.08 1
0.6%
58.5 1
0.6%
59.07 1
0.6%
59.4 1
0.6%
ValueCountFrequency (%)
34511.0 1
0.6%
15041.2 1
0.6%
8160.86 1
0.6%
7463.99 1
0.6%
6995.38 1
0.6%
5742.7 1
0.6%
5157.98 1
0.6%
4896.81 1
0.6%
4067.79 1
0.6%
4062.12 1
0.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-03-20
172 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-20
2nd row2023-03-20
3rd row2023-03-20
4th row2023-03-20
5th row2023-03-20

Common Values

ValueCountFrequency (%)
2023-03-20 172
100.0%

Length

2024-04-17T20:55:46.882244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:55:46.960012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-20 172
100.0%

Interactions

2024-04-17T20:55:45.020527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T20:55:47.006402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물구분코드연면적
건물구분코드1.0000.000
연면적0.0001.000
2024-04-17T20:55:47.069793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적건물구분코드
연면적1.0000.000
건물구분코드0.0001.000

Missing values

2024-04-17T20:55:45.110663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:55:45.187534image/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

재산명주소건물구분코드연면적데이터기준일
0전농1.2빗물펌프장 변전실서울특별시 성동구 송정동 78-1기타293.412023-03-20
1전농1빗물펌프장서울특별시 성동구 송정동 78-1기타820.82023-03-20
2전농2빗물펌프장서울특별시 성동구 송정동 78-1기타1000.812023-03-20
3장안 빗물펌프장서울특별시 성동구 송정동 78-1기타551.62023-03-20
4신설동경로당서울특별시 동대문구 신설동 92-14사무소104.372023-03-20
5신설2-1빗물펌프장서울특별시 동대문구 신설동 92-114기타111.632023-03-20
6신설동복지지원센터서울특별시 동대문구 신설동 104-35사무소889.672023-03-20
7우산각공원 공중화장실서울특별시 동대문구 신설동 109-4기타60.822023-03-20
8용두문화복지센터서울특별시 동대문구 용두동 29-3사무소3629.982023-03-20
9동대문 환경자원센터서울특별시 동대문구 용두동 34-6기타15041.22023-03-20
재산명주소건물구분코드연면적데이터기준일
162신이문경로당서울특별시 동대문구 이문동 256-137사무소227.162023-03-20
163이문어린이도서관서울특별시 동대문구 이문동 264-181사무소118.382023-03-20
164외대주차빌딩 공영주차장서울특별시 동대문구 이문동 306-14기타3238.422023-03-20
165이문2-2빗물펌프장서울특별시 동대문구 이문동 307-6기타52.082023-03-20
166진성경로당서울특별시 동대문구 이문동 325-18사무소113.582023-03-20
167이문청소년독서실서울특별시 동대문구 이문동 346-140사무소667.852023-03-20
168예다미어린이집서울특별시 동대문구 이문동 348-12 101호주택121.622023-03-20
169이문 어린이집서울특별시 동대문구 이문동 428 상가동 101호기타270.612023-03-20
170동대문구수련원충청북도 제천시 청풍면 물태리 131-10사무소2958.082023-03-20
171동대문 구립봉안당충청북도 음성군 금왕읍 용계리 166-1기타374.532023-03-20