Overview

Dataset statistics

Number of variables4
Number of observations315
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대구광역시_동구_석면조사건축물_20200511
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3046188&dataSetDetailId=30461881ce510000bea9&provdMethod=FILE

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:56:06.797644
Analysis finished2023-12-10 19:56:07.988031
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158
Minimum1
Maximum315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T04:56:08.095363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.7
Q179.5
median158
Q3236.5
95-th percentile299.3
Maximum315
Range314
Interquartile range (IQR)157

Descriptive statistics

Standard deviation91.076891
Coefficient of variation (CV)0.57643602
Kurtosis-1.2
Mean158
Median Absolute Deviation (MAD)79
Skewness0
Sum49770
Variance8295
MonotonicityStrictly increasing
2023-12-11T04:56:08.314484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
209 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
208 1
 
0.3%
Other values (305) 305
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%

건물명
Text

Distinct314
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T04:56:08.681437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length8.2761905
Min length3

Characters and Unicode

Total characters2607
Distinct characters310
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

Unique313 ?
Unique (%)99.4%

Sample

1st row예쁜어린이집
2nd row동대구어린이집
3rd row청산어린이집
4th row도담어린이집
5th row세명어린이집
ValueCountFrequency (%)
동대구역 14
 
3.6%
체육체험장 5
 
1.3%
대구학생문화센터 5
 
1.3%
대구광역시 4
 
1.0%
대구국제공항 3
 
0.8%
사회복지관 2
 
0.5%
대구보호관찰소 2
 
0.5%
동부사업소 2
 
0.5%
대구지점 2
 
0.5%
동구자원재활용센터 2
 
0.5%
Other values (346) 351
89.5%
2023-12-11T04:56:09.310121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 116
 
4.4%
집 102
 
3.9%
어 102
 
3.9%
린 102
 
3.9%
동 96
 
3.7%
구 90
 
3.5%
대 86
 
3.3%
77
 
3.0%
사 51
 
2.0%
지 46
 
1.8%
Other values (300) 1739
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2387
91.6%
Space Separator 77
 
3.0%
Decimal Number 45
 
1.7%
Uppercase Letter 42
 
1.6%
Close Punctuation 23
 
0.9%
Open Punctuation 23
 
0.9%
Other Punctuation 5
 
0.2%
Lowercase Letter 4
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 116
 
4.9%
집 102
 
4.3%
어 102
 
4.3%
린 102
 
4.3%
동 96
 
4.0%
구 90
 
3.8%
대 86
 
3.6%
사 51
 
2.1%
지 46
 
1.9%
센 38
 
1.6%
Other values (275) 1558
65.3%
Uppercase Letter
ValueCountFrequency (%)
S 10
23.8%
C 8
19.0%
P 7
16.7%
O 4
 
9.5%
B 3
 
7.1%
G 3
 
7.1%
A 3
 
7.1%
I 1
 
2.4%
K 1
 
2.4%
U 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 12
26.7%
2 9
20.0%
3 7
15.6%
4 6
13.3%
5 5
11.1%
9 4
 
8.9%
6 2
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
p 2
50.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2387
91.6%
Common 174
 
6.7%
Latin 46
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 116
 
4.9%
집 102
 
4.3%
어 102
 
4.3%
린 102
 
4.3%
동 96
 
4.0%
구 90
 
3.8%
대 86
 
3.6%
사 51
 
2.1%
지 46
 
1.9%
센 38
 
1.6%
Other values (275) 1558
65.3%
Latin
ValueCountFrequency (%)
S 10
21.7%
C 8
17.4%
P 7
15.2%
O 4
 
8.7%
B 3
 
6.5%
G 3
 
6.5%
A 3
 
6.5%
c 2
 
4.3%
p 2
 
4.3%
I 1
 
2.2%
Other values (3) 3
 
6.5%
Common
ValueCountFrequency (%)
77
44.3%
) 23
 
13.2%
( 23
 
13.2%
1 12
 
6.9%
2 9
 
5.2%
3 7
 
4.0%
4 6
 
3.4%
5 5
 
2.9%
. 5
 
2.9%
9 4
 
2.3%
Other values (2) 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2387
91.6%
ASCII 220
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 116
 
4.9%
집 102
 
4.3%
어 102
 
4.3%
린 102
 
4.3%
동 96
 
4.0%
구 90
 
3.8%
대 86
 
3.6%
사 51
 
2.1%
지 46
 
1.9%
센 38
 
1.6%
Other values (275) 1558
65.3%
ASCII
ValueCountFrequency (%)
77
35.0%
) 23
 
10.5%
( 23
 
10.5%
1 12
 
5.5%
S 10
 
4.5%
2 9
 
4.1%
C 8
 
3.6%
3 7
 
3.2%
P 7
 
3.2%
4 6
 
2.7%
Other values (15) 38
17.3%

건물주소(도로명)
Text

Distinct284
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T04:56:09.715619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length25.993651
Min length20

Characters and Unicode

Total characters8188
Distinct characters157
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

Unique273 ?
Unique (%)86.7%

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 315
 
18.3%
동구 315
 
18.3%
신암동 62
 
3.6%
신천동 33
 
1.9%
효목동 30
 
1.7%
동대구로 26
 
1.5%
방촌동 24
 
1.4%
율하동 24
 
1.4%
신서동 20
 
1.2%
550 16
 
0.9%
Other values (419) 852
49.6%
2023-12-11T04:56:10.459906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1486
18.1%
동 777
 
9.5%
구 659
 
8.0%
대 348
 
4.3%
로 327
 
4.0%
시 327
 
4.0%
( 315
 
3.8%
) 315
 
3.8%
역 315
 
3.8%
광 315
 
3.8%
Other values (147) 3004
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4791
58.5%
Space Separator 1486
 
18.1%
Decimal Number 1236
 
15.1%
Open Punctuation 315
 
3.8%
Close Punctuation 315
 
3.8%
Dash Punctuation 40
 
0.5%
Uppercase Letter 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 777
16.2%
구 659
13.8%
대 348
 
7.3%
로 327
 
6.8%
시 327
 
6.8%
역 315
 
6.6%
광 315
 
6.6%
신 163
 
3.4%
길 134
 
2.8%
암 82
 
1.7%
Other values (130) 1344
28.1%
Decimal Number
ValueCountFrequency (%)
1 272
22.0%
2 167
13.5%
0 151
12.2%
5 139
11.2%
3 98
 
7.9%
6 89
 
7.2%
9 86
 
7.0%
7 86
 
7.0%
4 85
 
6.9%
8 63
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
S 2
50.0%
Space Separator
ValueCountFrequency (%)
1486
100.0%
Open Punctuation
ValueCountFrequency (%)
( 315
100.0%
Close Punctuation
ValueCountFrequency (%)
) 315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4791
58.5%
Common 3393
41.4%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 777
16.2%
구 659
13.8%
대 348
 
7.3%
로 327
 
6.8%
시 327
 
6.8%
역 315
 
6.6%
광 315
 
6.6%
신 163
 
3.4%
길 134
 
2.8%
암 82
 
1.7%
Other values (130) 1344
28.1%
Common
ValueCountFrequency (%)
1486
43.8%
( 315
 
9.3%
) 315
 
9.3%
1 272
 
8.0%
2 167
 
4.9%
0 151
 
4.5%
5 139
 
4.1%
3 98
 
2.9%
6 89
 
2.6%
9 86
 
2.5%
Other values (5) 275
 
8.1%
Latin
ValueCountFrequency (%)
M 2
50.0%
S 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4791
58.5%
ASCII 3397
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1486
43.7%
( 315
 
9.3%
) 315
 
9.3%
1 272
 
8.0%
2 167
 
4.9%
0 151
 
4.4%
5 139
 
4.1%
3 98
 
2.9%
6 89
 
2.6%
9 86
 
2.5%
Other values (7) 279
 
8.2%
Hangul
ValueCountFrequency (%)
동 777
16.2%
구 659
13.8%
대 348
 
7.3%
로 327
 
6.8%
시 327
 
6.8%
역 315
 
6.6%
광 315
 
6.6%
신 163
 
3.4%
길 134
 
2.8%
암 82
 
1.7%
Other values (130) 1344
28.1%

건물용도
Categorical

Distinct18
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
노유자시설
124 
제1종 근린생활시설
46 
업무시설
39 
26 
교육연구시설
15 
Other values (13)
65 

Length

Max length12
Median length10
Mean length5.4444444
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
노유자시설 124
39.4%
제1종 근린생활시설 46
 
14.6%
업무시설 39
 
12.4%
26
 
8.3%
교육연구시설 15
 
4.8%
운수시설 14
 
4.4%
의료시설 14
 
4.4%
문화 및 집회시설 8
 
2.5%
제2종 근린생활시설 5
 
1.6%
자동차관련시설 5
 
1.6%
Other values (8) 19
 
6.0%

Length

2023-12-11T04:56:10.689653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노유자시설 124
34.4%
근린생활시설 51
14.2%
제1종 46
 
12.8%
업무시설 39
 
10.8%
교육연구시설 15
 
4.2%
운수시설 14
 
3.9%
의료시설 14
 
3.9%
및 10
 
2.8%
문화 8
 
2.2%
집회시설 8
 
2.2%
Other values (11) 31
 
8.6%

Interactions

2023-12-11T04:56:07.239183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:56:10.803017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물용도
연번1.0000.713
건물용도0.7131.000
2023-12-11T04:56:10.936654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물용도
연번1.0000.363
건물용도0.3631.000

Missing values

2023-12-11T04:56:07.803140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:56:07.936838image/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)건물용도
01예쁜어린이집대구광역시 동구 반야월북로55길 45 (신서동)노유자시설
12동대구어린이집대구광역시 동구 해동로6길 17 (지저동)노유자시설
23청산어린이집대구광역시 동구 송라로3길 13-3 (신천동)노유자시설
34도담어린이집대구광역시 동구 경안로101길 14-2 (서호동)노유자시설
45세명어린이집대구광역시 동구 팔공로23길 17-1 (불로동)노유자시설
56예일어린이집대구광역시 동구 동부로 67-1 (신천동)노유자시설
67동부어린이집대구광역시 동구 큰고개로 46-2 (신암동)노유자시설
78방촌어린이집대구광역시 동구 동촌로41길 34-4 (방촌동)노유자시설
89안심어린이집대구광역시 동구 안심로41길 65-8 (신기동)노유자시설
910주홍어린이집대구광역시 동구 화랑로75길 25-3 (방촌동)노유자시설
연번건물명건물주소(도로명)건물용도
305306작은나무어린이집대구광역시 동구 안심로22길 76 909동 101호 (율하동 율하 휴먼시아9단지)노유자시설
306307뜨란채어린이집대구광역시 동구 아양로7길 12 103동 (신암동 신암뜨란채)노유자시설
307308신기어린이집대구광역시 동구 율하동로 76 관리동 (신기동 안심주공3단지아파트)노유자시설
308309예원어린이집대구광역시 동구 동호로 88 202동 101호 (신서동 영조 아름다운나날)노유자시설
309310팔공보성어린이집대구광역시 동구 파계로 71 (지묘동 팔공3차보성타운)노유자시설
310311선재어린이집대구광역시 동구 율하동로8길 16 1010동 (율하동 율하 휴먼시아10단지)노유자시설
311312자연솔어린이집대구광역시 동구 율하동로19길 14 (율하동)노유자시설
312313캐슬아이어린이집대구광역시 동구 안심로73길 22 (신서동 신서 롯데캐슬레전드)노유자시설
313314진로어린이집대구광역시 동구 아양로 218 (효목동 진로이스트타운)노유자시설
314315다온숲어린이집대구광역시 동구 신성로 1 (신암동)노유자시설