Overview

Dataset statistics

Number of variables5
Number of observations97
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory43.4 B

Variable types

Text2
Numeric2
Categorical1

Dataset

Description서울특별시 관악구 기계설비 성능점검 대상 건축물(일반건축물 및 공동주택) 현황 자료입니다. 건물명, 주소, 연면적, 주 용도를 포함하고 있습니다.
Author서울특별시 관악구
URLhttps://www.data.go.kr/data/15124719/fileData.do

Alerts

건물명 has unique valuesUnique
연면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:39:36.908704
Analysis finished2023-12-12 20:39:37.945340
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-13T05:39:38.220882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length12.907216
Min length3

Characters and Unicode

Total characters1252
Distinct characters210
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row서울대학교[관악 81동 생명공학연구동]
2nd row서울대학교[관악 943동 SK텔레콤연구동]
3rd row서울대학교[관악 75-1동 제3학생식당]
4th row해오름교회
5th row서울대학교[관악 222동 생활과학대학]
ValueCountFrequency (%)
서울대학교[관악 31
 
17.3%
학생생활관 3
 
1.7%
관악드림타운 2
 
1.1%
중앙도서관 2
 
1.1%
보라매 2
 
1.1%
신공학관1 1
 
0.6%
301동 1
 
0.6%
944동삼성전자 1
 
0.6%
타임스트림 1
 
0.6%
서울대연구소 1
 
0.6%
Other values (134) 134
74.9%
2023-12-13T05:39:38.756901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
6.6%
관 62
 
5.0%
학 61
 
4.9%
대 54
 
4.3%
동 49
 
3.9%
교 46
 
3.7%
서 45
 
3.6%
악 42
 
3.4%
울 41
 
3.3%
[ 32
 
2.6%
Other values (200) 737
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 923
73.7%
Decimal Number 116
 
9.3%
Space Separator 83
 
6.6%
Open Punctuation 44
 
3.5%
Close Punctuation 44
 
3.5%
Uppercase Letter 28
 
2.2%
Dash Punctuation 6
 
0.5%
Math Symbol 5
 
0.4%
Other Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 62
 
6.7%
학 61
 
6.6%
대 54
 
5.9%
동 49
 
5.3%
교 46
 
5.0%
서 45
 
4.9%
악 42
 
4.6%
울 41
 
4.4%
아 21
 
2.3%
트 21
 
2.3%
Other values (165) 481
52.1%
Uppercase Letter
ValueCountFrequency (%)
K 5
17.9%
S 4
14.3%
E 3
10.7%
O 2
 
7.1%
R 2
 
7.1%
D 2
 
7.1%
C 2
 
7.1%
T 1
 
3.6%
I 1
 
3.6%
Q 1
 
3.6%
Other values (5) 5
17.9%
Decimal Number
ValueCountFrequency (%)
1 21
18.1%
9 19
16.4%
2 17
14.7%
0 16
13.8%
3 10
8.6%
5 10
8.6%
6 8
 
6.9%
4 6
 
5.2%
8 5
 
4.3%
7 4
 
3.4%
Open Punctuation
ValueCountFrequency (%)
[ 32
72.7%
( 12
 
27.3%
Close Punctuation
ValueCountFrequency (%)
] 32
72.7%
) 12
 
27.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 923
73.7%
Common 300
 
24.0%
Latin 29
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 62
 
6.7%
학 61
 
6.6%
대 54
 
5.9%
동 49
 
5.3%
교 46
 
5.0%
서 45
 
4.9%
악 42
 
4.6%
울 41
 
4.4%
아 21
 
2.3%
트 21
 
2.3%
Other values (165) 481
52.1%
Common
ValueCountFrequency (%)
83
27.7%
[ 32
 
10.7%
] 32
 
10.7%
1 21
 
7.0%
9 19
 
6.3%
2 17
 
5.7%
0 16
 
5.3%
( 12
 
4.0%
) 12
 
4.0%
3 10
 
3.3%
Other values (9) 46
15.3%
Latin
ValueCountFrequency (%)
K 5
17.2%
S 4
13.8%
E 3
10.3%
O 2
 
6.9%
R 2
 
6.9%
D 2
 
6.9%
C 2
 
6.9%
T 1
 
3.4%
I 1
 
3.4%
Q 1
 
3.4%
Other values (6) 6
20.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 923
73.7%
ASCII 329
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
25.2%
[ 32
 
9.7%
] 32
 
9.7%
1 21
 
6.4%
9 19
 
5.8%
2 17
 
5.2%
0 16
 
4.9%
( 12
 
3.6%
) 12
 
3.6%
3 10
 
3.0%
Other values (25) 75
22.8%
Hangul
ValueCountFrequency (%)
관 62
 
6.7%
학 61
 
6.6%
대 54
 
5.9%
동 49
 
5.3%
교 46
 
5.0%
서 45
 
4.9%
악 42
 
4.6%
울 41
 
4.4%
아 21
 
2.3%
트 21
 
2.3%
Other values (165) 481
52.1%

우편번호
Real number (ℝ)

Distinct43
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8790.2268
Minimum8700
Maximum8862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-13T05:39:38.938598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8708
Q18751
median8812
Q38826
95-th percentile8848
Maximum8862
Range162
Interquartile range (IQR)75

Descriptive statistics

Standard deviation47.231148
Coefficient of variation (CV)0.0053731433
Kurtosis-1.1545073
Mean8790.2268
Median Absolute Deviation (MAD)25
Skewness-0.51520351
Sum852652
Variance2230.7814
MonotonicityNot monotonic
2023-12-13T05:39:39.426018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
8826 32
33.0%
8758 4
 
4.1%
8833 3
 
3.1%
8848 3
 
3.1%
8787 3
 
3.1%
8708 3
 
3.1%
8754 2
 
2.1%
8777 2
 
2.1%
8700 2
 
2.1%
8768 2
 
2.1%
Other values (33) 41
42.3%
ValueCountFrequency (%)
8700 2
2.1%
8701 1
 
1.0%
8708 3
3.1%
8709 1
 
1.0%
8715 2
2.1%
8716 2
2.1%
8723 2
2.1%
8725 2
2.1%
8726 2
2.1%
8730 1
 
1.0%
ValueCountFrequency (%)
8862 1
 
1.0%
8861 1
 
1.0%
8854 1
 
1.0%
8848 3
3.1%
8847 1
 
1.0%
8845 1
 
1.0%
8833 3
3.1%
8832 1
 
1.0%
8831 1
 
1.0%
8830 2
2.1%

도로명 주소
Text

Distinct66
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-13T05:39:39.732531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.28866
Min length15

Characters and Unicode

Total characters1677
Distinct characters48
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

Unique65 ?
Unique (%)67.0%

Sample

1st row서울특별시 관악구 관악로 1
2nd row서울특별시 관악구 관악로 1
3rd row서울특별시 관악구 관악로 1
4th row서울특별시 관악구 남부순환로 1969
5th row서울특별시 관악구 관악로 1
ValueCountFrequency (%)
서울특별시 97
25.0%
관악구 97
25.0%
관악로 36
 
9.3%
1 34
 
8.8%
봉천동 16
 
4.1%
남부순환로 10
 
2.6%
신림동 9
 
2.3%
신림로 4
 
1.0%
은천로 3
 
0.8%
1730 2
 
0.5%
Other values (74) 80
20.6%
2023-12-13T05:39:40.234838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
17.4%
관 134
 
8.0%
악 134
 
8.0%
시 98
 
5.8%
서 97
 
5.8%
울 97
 
5.8%
특 97
 
5.8%
별 97
 
5.8%
구 97
 
5.8%
1 96
 
5.7%
Other values (38) 438
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1105
65.9%
Space Separator 292
 
17.4%
Decimal Number 269
 
16.0%
Dash Punctuation 11
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 134
12.1%
악 134
12.1%
시 98
8.9%
서 97
8.8%
울 97
8.8%
특 97
8.8%
별 97
8.8%
구 97
8.8%
로 71
6.4%
동 25
 
2.3%
Other values (26) 158
14.3%
Decimal Number
ValueCountFrequency (%)
1 96
35.7%
3 29
 
10.8%
7 27
 
10.0%
0 23
 
8.6%
2 18
 
6.7%
8 18
 
6.7%
6 16
 
5.9%
5 16
 
5.9%
9 14
 
5.2%
4 12
 
4.5%
Space Separator
ValueCountFrequency (%)
292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1105
65.9%
Common 572
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 134
12.1%
악 134
12.1%
시 98
8.9%
서 97
8.8%
울 97
8.8%
특 97
8.8%
별 97
8.8%
구 97
8.8%
로 71
6.4%
동 25
 
2.3%
Other values (26) 158
14.3%
Common
ValueCountFrequency (%)
292
51.0%
1 96
 
16.8%
3 29
 
5.1%
7 27
 
4.7%
0 23
 
4.0%
2 18
 
3.1%
8 18
 
3.1%
6 16
 
2.8%
5 16
 
2.8%
9 14
 
2.4%
Other values (2) 23
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1105
65.9%
ASCII 572
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
292
51.0%
1 96
 
16.8%
3 29
 
5.1%
7 27
 
4.7%
0 23
 
4.0%
2 18
 
3.1%
8 18
 
3.1%
6 16
 
2.8%
5 16
 
2.8%
9 14
 
2.4%
Other values (2) 23
 
4.0%
Hangul
ValueCountFrequency (%)
관 134
12.1%
악 134
12.1%
시 98
8.9%
서 97
8.8%
울 97
8.8%
특 97
8.8%
별 97
8.8%
구 97
8.8%
로 71
6.4%
동 25
 
2.3%
Other values (26) 158
14.3%

연면적
Real number (ℝ)

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16111.209
Minimum512
Maximum62301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-13T05:39:40.397166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum512
5-th percentile715.6
Q13544
median12909.61
Q321035.55
95-th percentile46592.882
Maximum62301
Range61789
Interquartile range (IQR)17491.55

Descriptive statistics

Standard deviation13825.897
Coefficient of variation (CV)0.85815387
Kurtosis1.4758869
Mean16111.209
Median Absolute Deviation (MAD)8725.9
Skewness1.229016
Sum1562787.3
Variance1.9115542 × 108
MonotonicityNot monotonic
2023-12-13T05:39:40.562319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10023.62 1
 
1.0%
519.0 1
 
1.0%
62301.0 1
 
1.0%
56556.49 1
 
1.0%
54291.12 1
 
1.0%
48947.94 1
 
1.0%
47256.25 1
 
1.0%
46427.04 1
 
1.0%
42623.1 1
 
1.0%
41623.13 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
512.0 1
1.0%
519.0 1
1.0%
560.0 1
1.0%
630.0 1
1.0%
710.0 1
1.0%
717.0 1
1.0%
783.0 1
1.0%
799.0 1
1.0%
818.0 1
1.0%
829.0 1
1.0%
ValueCountFrequency (%)
62301.0 1
1.0%
56556.49 1
1.0%
54291.12 1
1.0%
48947.94 1
1.0%
47256.25 1
1.0%
46427.04 1
1.0%
42623.1 1
1.0%
41623.13 1
1.0%
37758.82 1
1.0%
32603.74 1
1.0%

주 용도
Categorical

Distinct11
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size908.0 B
교육연구시설
39 
공동주택
25 
업무시설
8 
근린생활시설
7 
판매시설
6 
Other values (6)
12 

Length

Max length6
Median length6
Mean length5.0309278
Min length4

Unique

Unique3 ?
Unique (%)3.1%

Sample

1st row교육연구시설
2nd row교육연구시설
3rd row교육연구시설
4th row종교시설
5th row교육연구시설

Common Values

ValueCountFrequency (%)
교육연구시설 39
40.2%
공동주택 25
25.8%
업무시설 8
 
8.2%
근린생활시설 7
 
7.2%
판매시설 6
 
6.2%
교육시설 5
 
5.2%
공공업무시설 2
 
2.1%
방송통신시설 2
 
2.1%
종교시설 1
 
1.0%
오피스텔 1
 
1.0%

Length

2023-12-13T05:39:40.714556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교육연구시설 39
40.2%
공동주택 25
25.8%
업무시설 8
 
8.2%
근린생활시설 7
 
7.2%
판매시설 6
 
6.2%
교육시설 5
 
5.2%
공공업무시설 2
 
2.1%
방송통신시설 2
 
2.1%
종교시설 1
 
1.0%
오피스텔 1
 
1.0%

Interactions

2023-12-13T05:39:37.467372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:37.202384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:37.631252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:37.351432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:39:40.813191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명우편번호도로명 주소연면적주 용도
건물명1.0001.0001.0001.0001.000
우편번호1.0001.0001.0000.5020.703
도로명 주소1.0001.0001.0000.0001.000
연면적1.0000.5020.0001.0000.691
주 용도1.0000.7031.0000.6911.000
2023-12-13T05:39:40.929267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호연면적주 용도
우편번호1.000-0.0150.386
연면적-0.0151.0000.379
주 용도0.3860.3791.000

Missing values

2023-12-13T05:39:37.778777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:39:37.901322image/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

건물명우편번호도로명 주소연면적주 용도
0서울대학교[관악 81동 생명공학연구동]8826서울특별시 관악구 관악로 110023.62교육연구시설
1서울대학교[관악 943동 SK텔레콤연구동]8826서울특별시 관악구 관악로 110074.25교육연구시설
2서울대학교[관악 75-1동 제3학생식당]8826서울특별시 관악구 관악로 110178.93교육연구시설
3해오름교회8802서울특별시 관악구 남부순환로 196910240.66종교시설
4서울대학교[관악 222동 생활과학대학]8826서울특별시 관악구 관악로 110389.0교육연구시설
5광안빌딩8700서울특별시 관악구 시흥대로 57810577.77업무시설
6Q타워8758서울특별시 관악구 남부순환로 181710622.17업무시설
7에이스에이존8758서울특별시 관악구 남부순환로 180510624.66오피스텔
8서울대학교[관악 86동 치의학대학원 첨단교육연구복합단지]8826서울특별시 관악구 관악로 110835.92교육연구시설
9영락의료과학고등학교8831서울특별시 관악구 청룡16길 2510881.0교육연구시설
건물명우편번호도로명 주소연면적주 용도
87삼성산주공아파트8847서울특별시 관악구 신림동 17141482.0공동주택
88관악우성아파트8735서울특별시 관악구 봉천동 17061597.0공동주택
89신림현대아파트8845서울특별시 관악구 신림동 16941634.0공동주택
90관악드림타운 2단지(임대)8725서울특별시 관악구 봉천동 1712-11843.0공동주택
91두산아파트8750서울특별시 관악구 봉천동 1708-12001.0공동주택
92관악푸르지오8734서울특별시 관악구 봉천동 17172104.0공동주택
93벽산블루밍8715서울특별시 관악구 봉천동 17182105.0공동주택
94현대아파트8730서울특별시 관악구 봉천동 10002134.0공동주택
95관악산휴먼시아8862서울특별시 관악구 신림동 17352810.0공동주택
96관악드림타운8725서울특별시 관악구 봉천동 17123544.0공동주택