Overview

Dataset statistics

Number of variables7
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory57.8 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description대구광역시 달성군 기계설비 성능점검 현황 데이터로 시군구, 연면적, 건물명, 도로명주소, 데이터기준일자 등의 데이터를 제공하고 있고, 데이터 제공 부서는 건축과입니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15112140/fileData.do

Alerts

시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
연면적 has unique valuesUnique
건물명 has unique valuesUnique
도로명 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:51:05.531384
Analysis finished2023-12-12 14:51:06.209726
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.5
Minimum1
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:51:06.283333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.45
Q143.25
median85.5
Q3127.75
95-th percentile161.55
Maximum170
Range169
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation49.218899
Coefficient of variation (CV)0.57565964
Kurtosis-1.2
Mean85.5
Median Absolute Deviation (MAD)42.5
Skewness0
Sum14535
Variance2422.5
MonotonicityStrictly increasing
2023-12-12T23:51:06.435519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
118 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
Other values (160) 160
94.1%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시 달성군
170 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달성군
2nd row대구광역시 달성군
3rd row대구광역시 달성군
4th row대구광역시 달성군
5th row대구광역시 달성군

Common Values

ValueCountFrequency (%)
대구광역시 달성군 170
100.0%

Length

2023-12-12T23:51:06.619130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:51:06.746853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 170
50.0%
달성군 170
50.0%

법정동
Categorical

Distinct10
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
유가읍
43 
구지면
38 
논공읍
32 
다사읍
28 
현풍읍
15 
Other values (5)
14 

Length

Max length4
Median length3
Mean length3.0058824
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row가창면
2nd row구지면
3rd row구지면
4th row구지면
5th row논공읍

Common Values

ValueCountFrequency (%)
유가읍 43
25.3%
구지면 38
22.4%
논공읍 32
18.8%
다사읍 28
16.5%
현풍읍 15
 
8.8%
화원읍 7
 
4.1%
옥포읍 3
 
1.8%
가창면 2
 
1.2%
가창면 1
 
0.6%
논고읍 1
 
0.6%

Length

2023-12-12T23:51:06.908279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:51:07.067867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유가읍 43
25.3%
구지면 38
22.4%
논공읍 32
18.8%
다사읍 28
16.5%
현풍읍 15
 
8.8%
화원읍 7
 
4.1%
옥포읍 3
 
1.8%
가창면 3
 
1.8%
논고읍 1
 
0.6%

연면적
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T23:51:07.536684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.7941176
Min length5

Characters and Unicode

Total characters1325
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st row97686.2
2nd row63979
3rd row104198.58
4th row67173
5th row44150.94
ValueCountFrequency (%)
97686.2 1
 
0.6%
13175.55 1
 
0.6%
12131.91 1
 
0.6%
11068.23 1
 
0.6%
11201.17 1
 
0.6%
15099.79 1
 
0.6%
11983.98 1
 
0.6%
10797.8 1
 
0.6%
11363.074 1
 
0.6%
12811.9 1
 
0.6%
Other values (160) 160
94.1%
2023-12-12T23:51:08.240918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 221
16.7%
. 158
11.9%
2 139
10.5%
3 128
9.7%
4 111
8.4%
7 105
7.9%
8 103
7.8%
6 94
7.1%
5 92
6.9%
9 90
6.8%
Other values (2) 84
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1164
87.8%
Other Punctuation 161
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 221
19.0%
2 139
11.9%
3 128
11.0%
4 111
9.5%
7 105
9.0%
8 103
8.8%
6 94
8.1%
5 92
7.9%
9 90
7.7%
0 81
 
7.0%
Other Punctuation
ValueCountFrequency (%)
. 158
98.1%
, 3
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 1325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 221
16.7%
. 158
11.9%
2 139
10.5%
3 128
9.7%
4 111
8.4%
7 105
7.9%
8 103
7.8%
6 94
7.1%
5 92
6.9%
9 90
6.8%
Other values (2) 84
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 221
16.7%
. 158
11.9%
2 139
10.5%
3 128
9.7%
4 111
8.4%
7 105
7.9%
8 103
7.8%
6 94
7.1%
5 92
6.9%
9 90
6.8%
Other values (2) 84
 
6.3%

건물명
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T23:51:08.662780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.6823529
Min length2

Characters and Unicode

Total characters1136
Distinct characters248
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st row대구텍
2nd row케이비와이퍼시스템
3rd row㈜엘앤에프
4th row국가물산업클러스터
5th row평화산업
ValueCountFrequency (%)
경창산업 3
 
1.5%
대구공장 3
 
1.5%
테크노폴리스공장 2
 
1.0%
달성공장 2
 
1.0%
주식회사 2
 
1.0%
2공장 2
 
1.0%
메가젠임플란트 2
 
1.0%
구지공장 2
 
1.0%
주)푸르밀 1
 
0.5%
논공초등학교 1
 
0.5%
Other values (176) 176
89.8%
2023-12-12T23:51:09.189998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 40
 
3.5%
교 31
 
2.7%
학 30
 
2.6%
이 30
 
2.6%
스 29
 
2.6%
27
 
2.4%
공 27
 
2.4%
구 24
 
2.1%
장 18
 
1.6%
업 17
 
1.5%
Other values (238) 863
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1027
90.4%
Uppercase Letter 31
 
2.7%
Space Separator 27
 
2.4%
Close Punctuation 15
 
1.3%
Open Punctuation 15
 
1.3%
Other Symbol 14
 
1.2%
Decimal Number 6
 
0.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 40
 
3.9%
교 31
 
3.0%
학 30
 
2.9%
이 30
 
2.9%
스 29
 
2.8%
공 27
 
2.6%
구 24
 
2.3%
장 18
 
1.8%
업 17
 
1.7%
등 16
 
1.6%
Other values (214) 765
74.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
16.1%
M 4
12.9%
T 3
9.7%
L 3
9.7%
K 3
9.7%
I 3
9.7%
O 2
 
6.5%
C 2
 
6.5%
E 1
 
3.2%
G 1
 
3.2%
Other values (4) 4
12.9%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 2
33.3%
9 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 14
93.3%
] 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 14
93.3%
[ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1041
91.6%
Common 64
 
5.6%
Latin 31
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 40
 
3.8%
교 31
 
3.0%
학 30
 
2.9%
이 30
 
2.9%
스 29
 
2.8%
공 27
 
2.6%
구 24
 
2.3%
장 18
 
1.7%
업 17
 
1.6%
등 16
 
1.5%
Other values (215) 779
74.8%
Latin
ValueCountFrequency (%)
S 5
16.1%
M 4
12.9%
T 3
9.7%
L 3
9.7%
K 3
9.7%
I 3
9.7%
O 2
 
6.5%
C 2
 
6.5%
E 1
 
3.2%
G 1
 
3.2%
Other values (4) 4
12.9%
Common
ValueCountFrequency (%)
27
42.2%
) 14
21.9%
( 14
21.9%
2 3
 
4.7%
1 2
 
3.1%
9 1
 
1.6%
] 1
 
1.6%
[ 1
 
1.6%
+ 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1027
90.4%
ASCII 95
 
8.4%
None 14
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 40
 
3.9%
교 31
 
3.0%
학 30
 
2.9%
이 30
 
2.9%
스 29
 
2.8%
공 27
 
2.6%
구 24
 
2.3%
장 18
 
1.8%
업 17
 
1.7%
등 16
 
1.6%
Other values (214) 765
74.5%
ASCII
ValueCountFrequency (%)
27
28.4%
) 14
14.7%
( 14
14.7%
S 5
 
5.3%
M 4
 
4.2%
T 3
 
3.2%
2 3
 
3.2%
L 3
 
3.2%
K 3
 
3.2%
I 3
 
3.2%
Other values (13) 16
16.8%
None
ValueCountFrequency (%)
㈜ 14
100.0%

도로명 주소
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T23:51:09.509640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.688235
Min length19

Characters and Unicode

Total characters4027
Distinct characters71
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

Unique170 ?
Unique (%)100.0%

Sample

1st row대구광역시 달성군 가창면 가창로 1040
2nd row대구광역시 달성군 구지면 국가산단대로33길 10
3rd row대구광역시 달성군 구지면 국가산단대로40길 111
4th row대구광역시 달성군 구지면 국가산단대로40길 20
5th row대구광역시 달성군 논공읍 논공로 597
ValueCountFrequency (%)
대구광역시 170
20.0%
달성군 170
20.0%
유가읍 43
 
5.1%
구지면 38
 
4.5%
논공읍 33
 
3.9%
다사읍 28
 
3.3%
현풍읍 15
 
1.8%
논공로 10
 
1.2%
10 9
 
1.1%
테크노중앙대로 9
 
1.1%
Other values (201) 325
38.2%
2023-12-12T23:51:10.003605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
680
16.9%
대 219
 
5.4%
구 214
 
5.3%
달 185
 
4.6%
성 185
 
4.6%
역 173
 
4.3%
군 171
 
4.2%
시 170
 
4.2%
광 170
 
4.2%
로 168
 
4.2%
Other values (61) 1692
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2771
68.8%
Space Separator 680
 
16.9%
Decimal Number 567
 
14.1%
Dash Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 219
 
7.9%
구 214
 
7.7%
달 185
 
6.7%
성 185
 
6.7%
역 173
 
6.2%
군 171
 
6.2%
시 170
 
6.1%
광 170
 
6.1%
로 168
 
6.1%
읍 129
 
4.7%
Other values (49) 987
35.6%
Decimal Number
ValueCountFrequency (%)
1 107
18.9%
3 78
13.8%
2 69
12.2%
4 56
9.9%
5 53
9.3%
0 50
8.8%
9 44
7.8%
7 39
 
6.9%
6 37
 
6.5%
8 34
 
6.0%
Space Separator
ValueCountFrequency (%)
680
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2771
68.8%
Common 1256
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 219
 
7.9%
구 214
 
7.7%
달 185
 
6.7%
성 185
 
6.7%
역 173
 
6.2%
군 171
 
6.2%
시 170
 
6.1%
광 170
 
6.1%
로 168
 
6.1%
읍 129
 
4.7%
Other values (49) 987
35.6%
Common
ValueCountFrequency (%)
680
54.1%
1 107
 
8.5%
3 78
 
6.2%
2 69
 
5.5%
4 56
 
4.5%
5 53
 
4.2%
0 50
 
4.0%
9 44
 
3.5%
7 39
 
3.1%
6 37
 
2.9%
Other values (2) 43
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2771
68.8%
ASCII 1256
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
680
54.1%
1 107
 
8.5%
3 78
 
6.2%
2 69
 
5.5%
4 56
 
4.5%
5 53
 
4.2%
0 50
 
4.0%
9 44
 
3.5%
7 39
 
3.1%
6 37
 
2.9%
Other values (2) 43
 
3.4%
Hangul
ValueCountFrequency (%)
대 219
 
7.9%
구 214
 
7.7%
달 185
 
6.7%
성 185
 
6.7%
역 173
 
6.2%
군 171
 
6.2%
시 170
 
6.1%
광 170
 
6.1%
로 168
 
6.1%
읍 129
 
4.7%
Other values (49) 987
35.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-01-26 00:00:00
Maximum2023-01-26 00:00:00
2023-12-12T23:51:10.159194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:51:10.280051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:51:05.844253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:51:10.365529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법정동
순번1.0000.872
법정동0.8721.000
2023-12-12T23:51:10.468184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법정동
순번1.0000.451
법정동0.4511.000

Missing values

2023-12-12T23:51:06.017355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:51:06.157780image/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

순번시군구법정동연면적건물명도로명 주소데이터기준일자
01대구광역시 달성군가창면97686.2대구텍대구광역시 달성군 가창면 가창로 10402023-01-26
12대구광역시 달성군구지면63979케이비와이퍼시스템대구광역시 달성군 구지면 국가산단대로33길 102023-01-26
23대구광역시 달성군구지면104198.58㈜엘앤에프대구광역시 달성군 구지면 국가산단대로40길 1112023-01-26
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