Overview

Dataset statistics

Number of variables4
Number of observations272
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대구광역시_동구_석면조사건축물현황_20180813
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3046188&dataSetDetailId=30461882b169e86374c3_201903221505&provdMethod=FILE

Alerts

연번 has unique valuesUnique
건물명 has unique valuesUnique

Reproduction

Analysis started2024-04-22 00:02:22.782422
Analysis finished2024-04-22 00:02:23.192133
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct272
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.5
Minimum1
Maximum272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T09:02:23.255373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.55
Q168.75
median136.5
Q3204.25
95-th percentile258.45
Maximum272
Range271
Interquartile range (IQR)135.5

Descriptive statistics

Standard deviation78.663842
Coefficient of variation (CV)0.57629188
Kurtosis-1.2
Mean136.5
Median Absolute Deviation (MAD)68
Skewness0
Sum37128
Variance6188
MonotonicityStrictly increasing
2024-04-22T09:02:23.394728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
181 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
182 1
 
0.4%
180 1
 
0.4%
138 1
 
0.4%
Other values (262) 262
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%

건물명
Text

UNIQUE 

Distinct272
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-22T09:02:23.620573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.6507353
Min length3

Characters and Unicode

Total characters2353
Distinct characters294
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)100.0%

Sample

1st row예쁜어린이집
2nd row동대구어린이집
3rd row청산어린이집
4th row도담어린이집
5th row세명어린이집
ValueCountFrequency (%)
동대구역 14
 
4.0%
체육체험장 6
 
1.7%
대구학생문화센터 6
 
1.7%
대구국제공항 4
 
1.1%
대구광역시 4
 
1.1%
사회복지관 3
 
0.9%
한국전력공사 3
 
0.9%
동구자원재활용센터 2
 
0.6%
반야월변전소 2
 
0.6%
대구지방경찰청 2
 
0.6%
Other values (298) 305
86.9%
2024-04-22T09:02:23.976856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 100
 
4.2%
대 98
 
4.2%
동 90
 
3.8%
80
 
3.4%
지 50
 
2.1%
사 49
 
2.1%
이 42
 
1.8%
터 42
 
1.8%
센 42
 
1.8%
원 36
 
1.5%
Other values (284) 1724
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2103
89.4%
Space Separator 80
 
3.4%
Decimal Number 47
 
2.0%
Uppercase Letter 44
 
1.9%
Open Punctuation 27
 
1.1%
Close Punctuation 27
 
1.1%
Lowercase Letter 16
 
0.7%
Other Punctuation 8
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 100
 
4.8%
대 98
 
4.7%
동 90
 
4.3%
지 50
 
2.4%
사 49
 
2.3%
이 42
 
2.0%
터 42
 
2.0%
센 42
 
2.0%
원 36
 
1.7%
역 34
 
1.6%
Other values (249) 1520
72.3%
Uppercase Letter
ValueCountFrequency (%)
S 10
22.7%
P 9
20.5%
C 9
20.5%
O 4
 
9.1%
G 4
 
9.1%
B 2
 
4.5%
A 2
 
4.5%
I 1
 
2.3%
K 1
 
2.3%
U 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
c 3
18.8%
p 2
12.5%
m 1
 
6.2%
o 1
 
6.2%
l 1
 
6.2%
w 1
 
6.2%
s 1
 
6.2%
n 1
 
6.2%
z 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 12
25.5%
2 9
19.1%
3 9
19.1%
4 6
12.8%
5 5
10.6%
9 4
 
8.5%
6 2
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
, 2
 
25.0%
/ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2103
89.4%
Common 190
 
8.1%
Latin 60
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 100
 
4.8%
대 98
 
4.7%
동 90
 
4.3%
지 50
 
2.4%
사 49
 
2.3%
이 42
 
2.0%
터 42
 
2.0%
센 42
 
2.0%
원 36
 
1.7%
역 34
 
1.6%
Other values (249) 1520
72.3%
Latin
ValueCountFrequency (%)
S 10
16.7%
P 9
15.0%
C 9
15.0%
O 4
 
6.7%
G 4
 
6.7%
e 4
 
6.7%
c 3
 
5.0%
p 2
 
3.3%
B 2
 
3.3%
A 2
 
3.3%
Other values (11) 11
18.3%
Common
ValueCountFrequency (%)
80
42.1%
( 27
 
14.2%
) 27
 
14.2%
1 12
 
6.3%
2 9
 
4.7%
3 9
 
4.7%
4 6
 
3.2%
. 5
 
2.6%
5 5
 
2.6%
9 4
 
2.1%
Other values (4) 6
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2103
89.4%
ASCII 250
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 100
 
4.8%
대 98
 
4.7%
동 90
 
4.3%
지 50
 
2.4%
사 49
 
2.3%
이 42
 
2.0%
터 42
 
2.0%
센 42
 
2.0%
원 36
 
1.7%
역 34
 
1.6%
Other values (249) 1520
72.3%
ASCII
ValueCountFrequency (%)
80
32.0%
( 27
 
10.8%
) 27
 
10.8%
1 12
 
4.8%
S 10
 
4.0%
P 9
 
3.6%
2 9
 
3.6%
C 9
 
3.6%
3 9
 
3.6%
4 6
 
2.4%
Other values (25) 52
20.8%

건물주소(도로명)
Text

Distinct219
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-22T09:02:24.232042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length23.25
Min length20

Characters and Unicode

Total characters6324
Distinct characters102
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)69.5%

Sample

1st row대구광역시 동구 반야월북로55길 45 (신서동)
2nd row대구광역시 동구 해동로6길 17 (지저동)
3rd row대구광역시 동구 송라로3길 13-3 (신천동)
4th row대구광역시 동구 경안로101길 14-2 (서호동)
5th row대구광역시 동구 팔공로23길 17-1 (불로동)
ValueCountFrequency (%)
대구광역시 272
19.8%
동구 272
19.8%
신암동 58
 
4.2%
신천동 33
 
2.4%
동대구로 28
 
2.0%
효목동 26
 
1.9%
방촌동 17
 
1.2%
550 16
 
1.2%
검사동 14
 
1.0%
지하 13
 
0.9%
Other values (306) 625
45.5%
2024-04-22T09:02:24.635302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1102
17.4%
동 636
 
10.1%
구 574
 
9.1%
대 305
 
4.8%
로 277
 
4.4%
( 272
 
4.3%
) 272
 
4.3%
시 272
 
4.3%
역 272
 
4.3%
광 272
 
4.3%
Other values (92) 2070
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3763
59.5%
Space Separator 1102
 
17.4%
Decimal Number 879
 
13.9%
Open Punctuation 272
 
4.3%
Close Punctuation 272
 
4.3%
Dash Punctuation 35
 
0.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 636
16.9%
구 574
15.3%
대 305
 
8.1%
로 277
 
7.4%
시 272
 
7.2%
역 272
 
7.2%
광 272
 
7.2%
신 138
 
3.7%
길 105
 
2.8%
암 73
 
1.9%
Other values (77) 839
22.3%
Decimal Number
ValueCountFrequency (%)
1 165
18.8%
5 117
13.3%
2 108
12.3%
3 81
9.2%
4 77
8.8%
0 76
8.6%
9 75
8.5%
6 72
8.2%
7 69
7.8%
8 39
 
4.4%
Space Separator
ValueCountFrequency (%)
1102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3763
59.5%
Common 2561
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 636
16.9%
구 574
15.3%
대 305
 
8.1%
로 277
 
7.4%
시 272
 
7.2%
역 272
 
7.2%
광 272
 
7.2%
신 138
 
3.7%
길 105
 
2.8%
암 73
 
1.9%
Other values (77) 839
22.3%
Common
ValueCountFrequency (%)
1102
43.0%
( 272
 
10.6%
) 272
 
10.6%
1 165
 
6.4%
5 117
 
4.6%
2 108
 
4.2%
3 81
 
3.2%
4 77
 
3.0%
0 76
 
3.0%
9 75
 
2.9%
Other values (5) 216
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3763
59.5%
ASCII 2561
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1102
43.0%
( 272
 
10.6%
) 272
 
10.6%
1 165
 
6.4%
5 117
 
4.6%
2 108
 
4.2%
3 81
 
3.2%
4 77
 
3.0%
0 76
 
3.0%
9 75
 
2.9%
Other values (5) 216
 
8.4%
Hangul
ValueCountFrequency (%)
동 636
16.9%
구 574
15.3%
대 305
 
8.1%
로 277
 
7.4%
시 272
 
7.2%
역 272
 
7.2%
광 272
 
7.2%
신 138
 
3.7%
길 105
 
2.8%
암 73
 
1.9%
Other values (77) 839
22.3%

건물구분
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
공공건축물
150 
다중이용시설
86 
기타
34 
학교
 
1
대학교
 
1

Length

Max length6
Median length5
Mean length4.9227941
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row다중이용시설
2nd row다중이용시설
3rd row다중이용시설
4th row다중이용시설
5th row다중이용시설

Common Values

ValueCountFrequency (%)
공공건축물 150
55.1%
다중이용시설 86
31.6%
기타 34
 
12.5%
학교 1
 
0.4%
대학교 1
 
0.4%

Length

2024-04-22T09:02:24.765035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:02:24.860170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공건축물 150
55.1%
다중이용시설 86
31.6%
기타 34
 
12.5%
학교 1
 
0.4%
대학교 1
 
0.4%

Interactions

2024-04-22T09:02:22.992012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T09:02:24.923620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물구분
연번1.0000.550
건물구분0.5501.000
2024-04-22T09:02:24.993669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물구분
연번1.0000.257
건물구분0.2571.000

Missing values

2024-04-22T09:02:23.085122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T09:02:23.158189image/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

연번건물명건물주소(도로명)건물구분
01예쁜어린이집대구광역시 동구 반야월북로55길 45 (신서동)다중이용시설
12동대구어린이집대구광역시 동구 해동로6길 17 (지저동)다중이용시설
23청산어린이집대구광역시 동구 송라로3길 13-3 (신천동)다중이용시설
34도담어린이집대구광역시 동구 경안로101길 14-2 (서호동)다중이용시설
45세명어린이집대구광역시 동구 팔공로23길 17-1 (불로동)다중이용시설
56예일어린이집대구광역시 동구 동부로 67-1 (신천동)다중이용시설
67동부어린이집대구광역시 동구 큰고개로 46-2 (신암동)다중이용시설
78방촌어린이집대구광역시 동구 동촌로41길 34-4 (방촌동)다중이용시설
89안심어린이집대구광역시 동구 안심로41길 65-8 (신기동)다중이용시설
910주홍어린이집대구광역시 동구 화랑로75길 25-3 (방촌동)다중이용시설
연번건물명건물주소(도로명)건물구분
262263아이리더어린이집대구광역시 동구 율하동로19길 23-1 (율하동)다중이용시설
263264궁전라벤다대구광역시 동구 아양로 52 (신암동)다중이용시설
264265welcome PC방대구광역시 동구 아양로50길 24 (효목동)다중이용시설
265266안심주공3단지 사회복지관대구광역시 동구 율하동로 76 (신기동, 안심주공3단지아파트)공공건축물
266267해안노인복지센터대구광역시 동구 신평로 58-4 (신평동)기타
267268효경G병원대구광역시 동구 화랑로 157 (효목동)다중이용시설
268269대덕버스,달구벌버스,대성에너지대구광역시 동구 경안로 700 (동호동)공공건축물
269270대구안심우체국대구광역시 동구 경안로 780 (동호동)공공건축물
270271대구기상대대구광역시 동구 아양로9길 36 (신암동)공공건축물
271272아프리카PC방대구광역시 동구 안심로 368 (신서동)다중이용시설