Overview

Dataset statistics

Number of variables9
Number of observations127
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory76.0 B

Variable types

Numeric3
Categorical2
Text3
DateTime1

Dataset

Description대구광역시 달성군 기계설비 성능점검 현황 데이터로 시군구, 연면적, 건물명, 도로명주소, 위도,경동 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
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
법정동 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
순번 has unique valuesUnique
연면적 has unique valuesUnique
건물명 has unique valuesUnique
도로명 주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:36:40.969434
Analysis finished2024-04-06 08:36:44.257174
Duration3.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T17:36:44.470872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q132.5
median64
Q395.5
95-th percentile120.7
Maximum127
Range126
Interquartile range (IQR)63

Descriptive statistics

Standard deviation36.805797
Coefficient of variation (CV)0.57509057
Kurtosis-1.2
Mean64
Median Absolute Deviation (MAD)32
Skewness0
Sum8128
Variance1354.6667
MonotonicityStrictly increasing
2024-04-06T17:36:44.768344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
Other values (117) 117
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
대구광역시 달성군
127 

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 127
100.0%

Length

2024-04-06T17:36:45.071147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:45.263057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 127
50.0%
달성군 127
50.0%

법정동
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
유가읍
29 
구지면
25 
논공읍
25 
다사읍
23 
현풍읍
12 
Other values (4)
13 

Length

Max length4
Median length3
Mean length3.007874
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
유가읍 29
22.8%
구지면 25
19.7%
논공읍 25
19.7%
다사읍 23
18.1%
현풍읍 12
9.4%
화원읍 7
 
5.5%
옥포읍 3
 
2.4%
가창면 2
 
1.6%
가창면 1
 
0.8%

Length

2024-04-06T17:36:45.666224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:45.953775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유가읍 29
22.8%
구지면 25
19.7%
논공읍 25
19.7%
다사읍 23
18.1%
현풍읍 12
9.4%
화원읍 7
 
5.5%
옥포읍 3
 
2.4%
가창면 3
 
2.4%

연면적
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T17:36:47.323137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.8188976
Min length5

Characters and Unicode

Total characters993
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

Unique127 ?
Unique (%)100.0%

Sample

1st row97686.2
2nd row63979
3rd row104198.58
4th row67173
5th row44150.94
ValueCountFrequency (%)
97686.2 1
 
0.8%
13882.59 1
 
0.8%
12069.41 1
 
0.8%
10541.27 1
 
0.8%
10592.86 1
 
0.8%
12226.92 1
 
0.8%
12244.89 1
 
0.8%
14,247.90 1
 
0.8%
13175.55 1
 
0.8%
11983.98 1
 
0.8%
Other values (117) 117
92.1%
2024-04-06T17:36:49.106005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 147
14.8%
. 117
11.8%
2 105
10.6%
3 97
9.8%
4 86
8.7%
7 82
8.3%
8 78
7.9%
5 77
7.8%
9 74
7.5%
6 67
6.7%
Other values (2) 63
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 869
87.5%
Other Punctuation 124
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 147
16.9%
2 105
12.1%
3 97
11.2%
4 86
9.9%
7 82
9.4%
8 78
9.0%
5 77
8.9%
9 74
8.5%
6 67
7.7%
0 56
 
6.4%
Other Punctuation
ValueCountFrequency (%)
. 117
94.4%
, 7
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Common 993
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 147
14.8%
. 117
11.8%
2 105
10.6%
3 97
9.8%
4 86
8.7%
7 82
8.3%
8 78
7.9%
5 77
7.8%
9 74
7.5%
6 67
6.7%
Other values (2) 63
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 147
14.8%
. 117
11.8%
2 105
10.6%
3 97
9.8%
4 86
8.7%
7 82
8.3%
8 78
7.9%
5 77
7.8%
9 74
7.5%
6 67
6.7%
Other values (2) 63
6.3%

건물명
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T17:36:49.783876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7
Min length2

Characters and Unicode

Total characters889
Distinct characters220
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

Unique127 ?
Unique (%)100.0%

Sample

1st row대구텍
2nd row케이비와이퍼시스템
3rd row㈜엘앤에프
4th row국가물산업클러스터
5th row평화산업
ValueCountFrequency (%)
경창산업 3
 
2.0%
대구공장 3
 
2.0%
테크노폴리스 2
 
1.3%
테크노폴리스공장 2
 
1.3%
구지공장 2
 
1.3%
서재중학교 1
 
0.7%
비락대구공장 1
 
0.7%
대구특수금속 1
 
0.7%
화인타워 1
 
0.7%
세현초등학교 1
 
0.7%
Other values (136) 136
88.9%
2024-04-06T17:36:50.854924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 35
 
3.9%
교 30
 
3.4%
학 29
 
3.3%
27
 
3.0%
공 23
 
2.6%
스 23
 
2.6%
이 21
 
2.4%
구 20
 
2.2%
장 17
 
1.9%
에 15
 
1.7%
Other values (210) 649
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
90.1%
Uppercase Letter 29
 
3.3%
Space Separator 27
 
3.0%
Other Symbol 13
 
1.5%
Open Punctuation 6
 
0.7%
Close Punctuation 6
 
0.7%
Decimal Number 6
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 35
 
4.4%
교 30
 
3.7%
학 29
 
3.6%
공 23
 
2.9%
스 23
 
2.9%
이 21
 
2.6%
구 20
 
2.5%
장 17
 
2.1%
에 15
 
1.9%
등 15
 
1.9%
Other values (186) 573
71.5%
Uppercase Letter
ValueCountFrequency (%)
S 6
20.7%
M 4
13.8%
L 3
10.3%
T 3
10.3%
O 2
 
6.9%
K 2
 
6.9%
I 2
 
6.9%
C 2
 
6.9%
G 1
 
3.4%
E 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
9 1
16.7%
3 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 814
91.6%
Common 46
 
5.2%
Latin 29
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 35
 
4.3%
교 30
 
3.7%
학 29
 
3.6%
공 23
 
2.8%
스 23
 
2.8%
이 21
 
2.6%
구 20
 
2.5%
장 17
 
2.1%
에 15
 
1.8%
등 15
 
1.8%
Other values (187) 586
72.0%
Latin
ValueCountFrequency (%)
S 6
20.7%
M 4
13.8%
L 3
10.3%
T 3
10.3%
O 2
 
6.9%
K 2
 
6.9%
I 2
 
6.9%
C 2
 
6.9%
G 1
 
3.4%
E 1
 
3.4%
Other values (3) 3
10.3%
Common
ValueCountFrequency (%)
27
58.7%
( 5
 
10.9%
) 5
 
10.9%
2 2
 
4.3%
1 2
 
4.3%
9 1
 
2.2%
3 1
 
2.2%
[ 1
 
2.2%
] 1
 
2.2%
+ 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
90.1%
ASCII 75
 
8.4%
None 13
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 35
 
4.4%
교 30
 
3.7%
학 29
 
3.6%
공 23
 
2.9%
스 23
 
2.9%
이 21
 
2.6%
구 20
 
2.5%
장 17
 
2.1%
에 15
 
1.9%
등 15
 
1.9%
Other values (186) 573
71.5%
ASCII
ValueCountFrequency (%)
27
36.0%
S 6
 
8.0%
( 5
 
6.7%
) 5
 
6.7%
M 4
 
5.3%
L 3
 
4.0%
T 3
 
4.0%
2 2
 
2.7%
O 2
 
2.7%
1 2
 
2.7%
Other values (13) 16
21.3%
None
ValueCountFrequency (%)
㈜ 13
100.0%

도로명 주소
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T17:36:51.601179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.488189
Min length19

Characters and Unicode

Total characters2983
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

Unique127 ?
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 127
20.0%
달성군 127
20.0%
유가읍 29
 
4.6%
논공읍 25
 
3.9%
구지면 25
 
3.9%
다사읍 23
 
3.6%
현풍읍 12
 
1.9%
논공로 8
 
1.3%
테크노중앙대로 7
 
1.1%
10 7
 
1.1%
Other values (162) 245
38.6%
2024-04-06T17:36:52.593926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
508
17.0%
대 163
 
5.5%
구 154
 
5.2%
성 139
 
4.7%
달 136
 
4.6%
역 131
 
4.4%
군 128
 
4.3%
광 127
 
4.3%
시 127
 
4.3%
로 125
 
4.2%
Other values (61) 1245
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2053
68.8%
Space Separator 508
 
17.0%
Decimal Number 415
 
13.9%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 163
 
7.9%
구 154
 
7.5%
성 139
 
6.8%
달 136
 
6.6%
역 131
 
6.4%
군 128
 
6.2%
광 127
 
6.2%
시 127
 
6.2%
로 125
 
6.1%
읍 99
 
4.8%
Other values (49) 724
35.3%
Decimal Number
ValueCountFrequency (%)
1 81
19.5%
3 58
14.0%
2 50
12.0%
0 43
10.4%
4 43
10.4%
5 39
9.4%
6 28
 
6.7%
9 27
 
6.5%
7 25
 
6.0%
8 21
 
5.1%
Space Separator
ValueCountFrequency (%)
508
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2053
68.8%
Common 930
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 163
 
7.9%
구 154
 
7.5%
성 139
 
6.8%
달 136
 
6.6%
역 131
 
6.4%
군 128
 
6.2%
광 127
 
6.2%
시 127
 
6.2%
로 125
 
6.1%
읍 99
 
4.8%
Other values (49) 724
35.3%
Common
ValueCountFrequency (%)
508
54.6%
1 81
 
8.7%
3 58
 
6.2%
2 50
 
5.4%
0 43
 
4.6%
4 43
 
4.6%
5 39
 
4.2%
6 28
 
3.0%
9 27
 
2.9%
7 25
 
2.7%
Other values (2) 28
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2053
68.8%
ASCII 930
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
508
54.6%
1 81
 
8.7%
3 58
 
6.2%
2 50
 
5.4%
0 43
 
4.6%
4 43
 
4.6%
5 39
 
4.2%
6 28
 
3.0%
9 27
 
2.9%
7 25
 
2.7%
Other values (2) 28
 
3.0%
Hangul
ValueCountFrequency (%)
대 163
 
7.9%
구 154
 
7.5%
성 139
 
6.8%
달 136
 
6.6%
역 131
 
6.4%
군 128
 
6.2%
광 127
 
6.2%
시 127
 
6.2%
로 125
 
6.1%
읍 99
 
4.8%
Other values (49) 724
35.3%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.733341
Minimum35.630097
Maximum35.883985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T17:36:52.937879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.630097
5-th percentile35.64036
Q135.678734
median35.695939
Q335.78836
95-th percentile35.874505
Maximum35.883985
Range0.25388816
Interquartile range (IQR)0.10962582

Descriptive statistics

Standard deviation0.077798401
Coefficient of variation (CV)0.0021771936
Kurtosis-0.77236514
Mean35.733341
Median Absolute Deviation (MAD)0.04171383
Skewness0.72171484
Sum4538.1343
Variance0.0060525913
MonotonicityNot monotonic
2024-04-06T17:36:53.306751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.79889042 1
 
0.8%
35.64625925 1
 
0.8%
35.87177294 1
 
0.8%
35.8673307 1
 
0.8%
35.8735936 1
 
0.8%
35.86255476 1
 
0.8%
35.86319363 1
 
0.8%
35.86335148 1
 
0.8%
35.73370708 1
 
0.8%
35.73004561 1
 
0.8%
Other values (117) 117
92.1%
ValueCountFrequency (%)
35.63009656 1
0.8%
35.63016302 1
0.8%
35.63175359 1
0.8%
35.63589167 1
0.8%
35.63741555 1
0.8%
35.63810901 1
0.8%
35.63917209 1
0.8%
35.64313227 1
0.8%
35.64575391 1
0.8%
35.64625925 1
0.8%
ValueCountFrequency (%)
35.88398472 1
0.8%
35.88024516 1
0.8%
35.8792213 1
0.8%
35.87739763 1
0.8%
35.87629822 1
0.8%
35.87609949 1
0.8%
35.87457547 1
0.8%
35.87434192 1
0.8%
35.87424536 1
0.8%
35.8735936 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.45767
Minimum128.38877
Maximum128.63618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T17:36:53.707141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.38877
5-th percentile128.40559
Q1128.44416
median128.45802
Q3128.46732
95-th percentile128.50297
Maximum128.63618
Range0.2474095
Interquartile range (IQR)0.0231575

Descriptive statistics

Standard deviation0.036941212
Coefficient of variation (CV)0.00028757498
Kurtosis10.363922
Mean128.45767
Median Absolute Deviation (MAD)0.0098303
Skewness2.3177032
Sum16314.124
Variance0.0013646532
MonotonicityNot monotonic
2024-04-06T17:36:54.164469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.626111 1
 
0.8%
128.4156445 1
 
0.8%
128.4881948 1
 
0.8%
128.4966496 1
 
0.8%
128.4991362 1
 
0.8%
128.4555512 1
 
0.8%
128.4652103 1
 
0.8%
128.4663406 1
 
0.8%
128.4629171 1
 
0.8%
128.4657589 1
 
0.8%
Other values (117) 117
92.1%
ValueCountFrequency (%)
128.3887656 1
0.8%
128.3982699 1
0.8%
128.399649 1
0.8%
128.4004674 1
0.8%
128.4035323 1
0.8%
128.4044874 1
0.8%
128.4052099 1
0.8%
128.4064672 1
0.8%
128.4088759 1
0.8%
128.4101843 1
0.8%
ValueCountFrequency (%)
128.6361751 1
0.8%
128.6361142 1
0.8%
128.626111 1
0.8%
128.5101111 1
0.8%
128.5095875 1
0.8%
128.5042478 1
0.8%
128.5034349 1
0.8%
128.5018859 1
0.8%
128.4993237 1
0.8%
128.4991362 1
0.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2024-04-03 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T17:36:54.465379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:54.692265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:36:42.874925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:41.570895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:42.279752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:43.079731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:41.842873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:42.477344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:43.263237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:42.096230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:42.697181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:36:54.910757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법정동위도경도
순번1.0000.7670.8490.615
법정동0.7671.0000.9040.906
위도0.8490.9041.0000.788
경도0.6150.9060.7881.000
2024-04-06T17:36:55.117240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도법정동
순번1.0000.1900.2480.483
위도0.1901.0000.7440.706
경도0.2480.7441.0000.711
법정동0.4830.7060.7111.000

Missing values

2024-04-06T17:36:43.877177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:36:44.141295image/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 주소위도경도데이터기준일자
01대구광역시 달성군가창면97686.2대구텍대구광역시 달성군 가창면 가창로 104035.79889128.6261112024-04-03
12대구광역시 달성군구지면63979케이비와이퍼시스템대구광역시 달성군 구지면 국가산단대로33길 1035.646259128.4156452024-04-03
23대구광역시 달성군구지면104198.58㈜엘앤에프대구광역시 달성군 구지면 국가산단대로40길 11135.649178128.4289892024-04-03
34대구광역시 달성군구지면67173국가물산업클러스터대구광역시 달성군 구지면 국가산단대로40길 2035.646865128.4201752024-04-03
45대구광역시 달성군논공읍44150.94평화산업대구광역시 달성군 논공읍 논공로 59735.738197128.4601792024-04-03
56대구광역시 달성군논공읍94438.18대동공업[㈜대동]대구광역시 달성군 논공읍 논공중앙로34길 3535.730674128.4570962024-04-03
67대구광역시 달성군논공읍93085이래에이엠에스대구광역시 달성군 논공읍 논공로 66435.733611128.4502372024-04-03
78대구광역시 달성군현풍읍279344.12대구경북과학기술원대구광역시 달성군 현풍읍 테크노중앙대로 33335.705642128.4550082024-04-03
89대구광역시 달성군구지면44616.17영원무역대구공장대구광역시 달성군 구지면 달성2차로 20035.639172128.4291452024-04-03
910대구광역시 달성군구지면30034.24㈜대동모빌리티대구광역시 달성군 구지면 국가산단대로39길 3035.648699128.4140012024-04-03
순번시군구법정동연면적건물명도로명 주소위도경도데이터기준일자
117118대구광역시 달성군현풍읍11973.44달성군보건소대구광역시 달성군 현풍읍 현풍중앙로 2735.692074128.4462022024-04-03
118119대구광역시 달성군화원읍11986.42천내초등학교대구광역시 달성군 화원읍 성천로 19235.809281128.5018862024-04-03
119120대구광역시 달성군화원읍11503.48천내중학교대구광역시 달성군 화원읍 성천로 20235.809248128.5034352024-04-03
120121대구광역시 달성군화원읍12531.92화원중학교대구광역시 달성군 화원읍 성암로 4835.798946128.5095882024-04-03
121122대구광역시 달성군화원읍10471.67화원초등학교대구광역시 달성군 화원읍 비슬로 258035.803019128.4993242024-04-03
122123대구광역시 달성군다사읍11,854.99심인고등학교대구광역시 달성군 다사읍 대실역남로1길 535.853171128.4652622024-04-03
123124대구광역시 달성군현풍읍13757.14달성군교육문화복지센터대구광역시 달성군 현풍읍 테크노중앙대로 23135.69115128.457082024-04-03
124125대구광역시 달성군구지면29068엘앤에프 3공장대구광역시 달성군 구지면 국가산단대로19길 4035.637416128.4134122024-04-03
125126대구광역시 달성군유가읍25,238.27테크노폴리스 예미지더센트럴 상가대구광역시 달성군 유가읍 테크노북로 26035.690459128.460812024-04-03
126127대구광역시 달성군현풍읍10,121.55서정SM빌딩대구광역시 달성군 현풍읍 테크노공원로 3535.691953128.4567082024-04-03