Overview

Dataset statistics

Number of variables4
Number of observations354
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대구광역시 동구 소재 석면조사 건축물 현황 데이터입니다. 이 데이터는 건물명, 위치, 건물용도 등의 항목을 포함합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/3046188/fileData.do

Alerts

연번 is highly overall correlated with 건물용도High correlation
건물용도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 21:27:55.150508
Analysis finished2024-03-14 21:27:56.337640
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct354
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.5
Minimum1
Maximum354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-15T06:27:56.548537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.65
Q189.25
median177.5
Q3265.75
95-th percentile336.35
Maximum354
Range353
Interquartile range (IQR)176.5

Descriptive statistics

Standard deviation102.33523
Coefficient of variation (CV)0.57653653
Kurtosis-1.2
Mean177.5
Median Absolute Deviation (MAD)88.5
Skewness0
Sum62835
Variance10472.5
MonotonicityStrictly increasing
2024-03-15T06:27:56.803108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
267 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
Other values (344) 344
97.2%
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 (%)
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
Distinct320
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T06:27:57.657977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length8.1440678
Min length3

Characters and Unicode

Total characters2883
Distinct characters324
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

Unique301 ?
Unique (%)85.0%

Sample

1st row키즈로스쿨어린이집
2nd row참조은어린이집
3rd row동혜어린이집
4th row보미어린이집
5th row늘봄어린이집
ValueCountFrequency (%)
동대구역 14
 
3.3%
대구광역시 8
 
1.9%
대구파티마병원 7
 
1.6%
4개동 5
 
1.2%
대구차량사업소외 5
 
1.2%
사회복지법인 4
 
0.9%
성요한복지재단 4
 
0.9%
대구교육팔공산수련원 3
 
0.7%
대구국제공항 3
 
0.7%
동부사업소 3
 
0.7%
Other values (344) 374
87.0%
2024-03-15T06:27:58.985821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
5.2%
135
 
4.7%
134
 
4.6%
132
 
4.6%
97
 
3.4%
95
 
3.3%
93
 
3.2%
77
 
2.7%
54
 
1.9%
51
 
1.8%
Other values (314) 1866
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2662
92.3%
Space Separator 77
 
2.7%
Decimal Number 42
 
1.5%
Uppercase Letter 41
 
1.4%
Close Punctuation 21
 
0.7%
Open Punctuation 21
 
0.7%
Lowercase Letter 14
 
0.5%
Other Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
149
 
5.6%
135
 
5.1%
134
 
5.0%
132
 
5.0%
97
 
3.6%
95
 
3.6%
93
 
3.5%
54
 
2.0%
51
 
1.9%
45
 
1.7%
Other values (280) 1677
63.0%
Uppercase Letter
ValueCountFrequency (%)
S 9
22.0%
C 9
22.0%
P 8
19.5%
O 4
9.8%
B 3
 
7.3%
A 3
 
7.3%
G 2
 
4.9%
L 1
 
2.4%
U 1
 
2.4%
K 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
c 2
14.3%
w 1
 
7.1%
l 1
 
7.1%
o 1
 
7.1%
m 1
 
7.1%
p 1
 
7.1%
s 1
 
7.1%
n 1
 
7.1%
z 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
4 10
23.8%
2 9
21.4%
1 8
19.0%
3 6
14.3%
5 5
11.9%
9 2
 
4.8%
6 2
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
/ 1
25.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2662
92.3%
Common 166
 
5.8%
Latin 55
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
149
 
5.6%
135
 
5.1%
134
 
5.0%
132
 
5.0%
97
 
3.6%
95
 
3.6%
93
 
3.5%
54
 
2.0%
51
 
1.9%
45
 
1.7%
Other values (280) 1677
63.0%
Latin
ValueCountFrequency (%)
S 9
16.4%
C 9
16.4%
P 8
14.5%
O 4
 
7.3%
e 4
 
7.3%
B 3
 
5.5%
A 3
 
5.5%
G 2
 
3.6%
c 2
 
3.6%
w 1
 
1.8%
Other values (10) 10
18.2%
Common
ValueCountFrequency (%)
77
46.4%
) 21
 
12.7%
( 21
 
12.7%
4 10
 
6.0%
2 9
 
5.4%
1 8
 
4.8%
3 6
 
3.6%
5 5
 
3.0%
9 2
 
1.2%
, 2
 
1.2%
Other values (4) 5
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2662
92.3%
ASCII 221
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
149
 
5.6%
135
 
5.1%
134
 
5.0%
132
 
5.0%
97
 
3.6%
95
 
3.6%
93
 
3.5%
54
 
2.0%
51
 
1.9%
45
 
1.7%
Other values (280) 1677
63.0%
ASCII
ValueCountFrequency (%)
77
34.8%
) 21
 
9.5%
( 21
 
9.5%
4 10
 
4.5%
S 9
 
4.1%
C 9
 
4.1%
2 9
 
4.1%
P 8
 
3.6%
1 8
 
3.6%
3 6
 
2.7%
Other values (24) 43
19.5%
Distinct294
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T06:28:00.204920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length26.847458
Min length18

Characters and Unicode

Total characters9504
Distinct characters173
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

Unique268 ?
Unique (%)75.7%

Sample

1st row대구광역시 동구 반야월로26길 61-2 (신기동)
2nd row대구광역시 동구 동북로 500 (효목동, 태왕메트로시티)
3rd row대구광역시 동구 국채보상로155길 54 (신천동, 신천주공2차아파트)
4th row대구광역시 동구 신암로16길 16 (신천동, 가람타운)
5th row대구광역시 동구 송라로11길 39 (신천동, 신천휴먼시아6단지)
ValueCountFrequency (%)
대구광역시 354
 
18.1%
동구 354
 
18.1%
신암동 73
 
3.7%
효목동 35
 
1.8%
신천동 33
 
1.7%
동대구로 30
 
1.5%
신서동 26
 
1.3%
율하동 22
 
1.1%
550 20
 
1.0%
방촌동 19
 
1.0%
Other values (456) 991
50.6%
2024-03-15T06:28:01.821959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1604
16.9%
880
 
9.3%
741
 
7.8%
392
 
4.1%
373
 
3.9%
366
 
3.9%
354
 
3.7%
354
 
3.7%
( 351
 
3.7%
) 351
 
3.7%
Other values (163) 3738
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5578
58.7%
Space Separator 1604
 
16.9%
Decimal Number 1446
 
15.2%
Open Punctuation 351
 
3.7%
Close Punctuation 351
 
3.7%
Other Punctuation 130
 
1.4%
Dash Punctuation 38
 
0.4%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
880
15.8%
741
13.3%
392
 
7.0%
373
 
6.7%
366
 
6.6%
354
 
6.3%
354
 
6.3%
203
 
3.6%
151
 
2.7%
100
 
1.8%
Other values (145) 1664
29.8%
Decimal Number
ValueCountFrequency (%)
1 308
21.3%
2 201
13.9%
0 182
12.6%
5 165
11.4%
3 125
8.6%
9 107
 
7.4%
6 102
 
7.1%
4 97
 
6.7%
7 88
 
6.1%
8 71
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 129
99.2%
/ 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
M 3
50.0%
Space Separator
ValueCountFrequency (%)
1604
100.0%
Open Punctuation
ValueCountFrequency (%)
( 351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5578
58.7%
Common 3920
41.2%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
880
15.8%
741
13.3%
392
 
7.0%
373
 
6.7%
366
 
6.6%
354
 
6.3%
354
 
6.3%
203
 
3.6%
151
 
2.7%
100
 
1.8%
Other values (145) 1664
29.8%
Common
ValueCountFrequency (%)
1604
40.9%
( 351
 
9.0%
) 351
 
9.0%
1 308
 
7.9%
2 201
 
5.1%
0 182
 
4.6%
5 165
 
4.2%
, 129
 
3.3%
3 125
 
3.2%
9 107
 
2.7%
Other values (6) 397
 
10.1%
Latin
ValueCountFrequency (%)
S 3
50.0%
M 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5578
58.7%
ASCII 3926
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1604
40.9%
( 351
 
8.9%
) 351
 
8.9%
1 308
 
7.8%
2 201
 
5.1%
0 182
 
4.6%
5 165
 
4.2%
, 129
 
3.3%
3 125
 
3.2%
9 107
 
2.7%
Other values (8) 403
 
10.3%
Hangul
ValueCountFrequency (%)
880
15.8%
741
13.3%
392
 
7.0%
373
 
6.7%
366
 
6.6%
354
 
6.3%
354
 
6.3%
203
 
3.6%
151
 
2.7%
100
 
1.8%
Other values (145) 1664
29.8%

건물용도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
공공건축물
138 
어린이집
131 
불특정다수이용
50 
기타
33 
대학교
 
2

Length

Max length7
Median length5
Mean length4.6214689
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공건축물 138
39.0%
어린이집 131
37.0%
불특정다수이용 50
 
14.1%
기타 33
 
9.3%
대학교 2
 
0.6%

Length

2024-03-15T06:28:02.613272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:28:02.981365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공건축물 138
39.0%
어린이집 131
37.0%
불특정다수이용 50
 
14.1%
기타 33
 
9.3%
대학교 2
 
0.6%

Interactions

2024-03-15T06:27:55.693113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:28:03.227377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물용도
연번1.0000.845
건물용도0.8451.000
2024-03-15T06:28:03.477342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물용도
연번1.0000.505
건물용도0.5051.000

Missing values

2024-03-15T06:27:56.047827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:27:56.269018image/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
01키즈로스쿨어린이집대구광역시 동구 반야월로26길 61-2 (신기동)어린이집
12참조은어린이집대구광역시 동구 동북로 500 (효목동, 태왕메트로시티)어린이집
23동혜어린이집대구광역시 동구 국채보상로155길 54 (신천동, 신천주공2차아파트)어린이집
34보미어린이집대구광역시 동구 신암로16길 16 (신천동, 가람타운)어린이집
45늘봄어린이집대구광역시 동구 송라로11길 39 (신천동, 신천휴먼시아6단지)어린이집
56반야월어린이집대구광역시 동구 반야월북로12길 13-3 (율암동)어린이집
67동화속어린이집대구광역시 동구 아양로24길 13, 101동 105호 (신암동, 에스디 아이프라임)어린이집
78한국예술어린이집대구광역시 동구 아양로39길 43 (신암동)어린이집
89아기나라어린이집대구광역시 동구 안심로73길 22 (신서동, 신서 롯데캐슬레전드)어린이집
910꿈예뜰어린이집대구광역시 동구 동부로 26, 509동 (신천동, 신천휴먼시아5단지)어린이집
연번건물명건물주소(도로명)건물용도
344345진명고향마을대구광역시 동구 파계로 629 (중대동)기타
345346SOS프란치스카의집대구광역시 동구 방촌로1길 17 (검사동)기타
346347갓바위치매센터대구광역시 동구 갓바위로 75 (진인동)기타
347348제일기독종합사회복지관대구광역시 동구 송라로2길 17-6 (신천동)기타
348349붓다의집대구광역시 동구 갓바위로 75 (진인동)기타
349350애생보육원대구광역시 동구 방촌로 69 (검사동)기타
350351신생원대구광역시 동구 금강로 105 (신서동)기타
351352육영학사대구광역시 동구 신평로 57 (신평동)기타
352353대동병원대구광역시 동구 화랑로 169 (효목동)불특정다수이용
353354홈플러스 동촌점대구광역시 동구 동촌로 127 (검사동)불특정다수이용