Overview

Dataset statistics

Number of variables9
Number of observations1492
Missing cells112
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory105.0 KiB
Average record size in memory72.1 B

Variable types

Text4
DateTime3
Categorical2

Dataset

Description경상북도 포항시 사용승인시공건(시공대지,주용도,착공예정일,착공처리일,준공예정일,시공감리설계 업체)
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15048893/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
감리사무소명 has 18 (1.2%) missing valuesMissing
시공자사무소명 has 87 (5.8%) missing valuesMissing

Reproduction

Analysis started2023-12-23 07:11:25.484705
Analysis finished2023-12-23 07:11:28.808497
Duration3.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct923
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-23T07:11:29.307076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length24.33244
Min length5

Characters and Unicode

Total characters36304
Distinct characters142
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique791 ?
Unique (%)53.0%

Sample

1st row경상북도 포항시 남구 동촌동 5 외72필지
2nd row경상북도 포항시 남구 동촌동 5 외72필지
3rd row경상북도 포항시 북구 청하면 신흥리 578-11
4th row경상북도 포항시 남구 동촌동 5 외72필지
5th row경상북도 포항시 북구 흥해읍 용한리 855 외1필지
ValueCountFrequency (%)
포항시 1493
16.8%
경상북도 1491
16.8%
남구 1048
 
11.8%
북구 445
 
5.0%
동촌동 414
 
4.7%
5 399
 
4.5%
외1필지 245
 
2.8%
외72필지 182
 
2.0%
흥해읍 108
 
1.2%
오천읍 107
 
1.2%
Other values (1026) 2967
33.3%
2023-12-23T07:11:31.248678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7410
20.4%
1937
 
5.3%
1681
 
4.6%
1590
 
4.4%
1545
 
4.3%
1545
 
4.3%
1527
 
4.2%
1514
 
4.2%
1496
 
4.1%
1491
 
4.1%
Other values (132) 14568
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22340
61.5%
Space Separator 7410
 
20.4%
Decimal Number 5801
 
16.0%
Dash Punctuation 729
 
2.0%
Uppercase Letter 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1937
 
8.7%
1681
 
7.5%
1590
 
7.1%
1545
 
6.9%
1545
 
6.9%
1527
 
6.8%
1514
 
6.8%
1496
 
6.7%
1491
 
6.7%
1060
 
4.7%
Other values (116) 6954
31.1%
Decimal Number
ValueCountFrequency (%)
1 1204
20.8%
5 899
15.5%
2 687
11.8%
6 572
9.9%
7 550
9.5%
3 486
8.4%
4 437
 
7.5%
8 399
 
6.9%
0 303
 
5.2%
9 264
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 11
45.8%
L 9
37.5%
I 3
 
12.5%
A 1
 
4.2%
Space Separator
ValueCountFrequency (%)
7410
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 729
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22340
61.5%
Common 13940
38.4%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1937
 
8.7%
1681
 
7.5%
1590
 
7.1%
1545
 
6.9%
1545
 
6.9%
1527
 
6.8%
1514
 
6.8%
1496
 
6.7%
1491
 
6.7%
1060
 
4.7%
Other values (116) 6954
31.1%
Common
ValueCountFrequency (%)
7410
53.2%
1 1204
 
8.6%
5 899
 
6.4%
- 729
 
5.2%
2 687
 
4.9%
6 572
 
4.1%
7 550
 
3.9%
3 486
 
3.5%
4 437
 
3.1%
8 399
 
2.9%
Other values (2) 567
 
4.1%
Latin
ValueCountFrequency (%)
B 11
45.8%
L 9
37.5%
I 3
 
12.5%
A 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22340
61.5%
ASCII 13964
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7410
53.1%
1 1204
 
8.6%
5 899
 
6.4%
- 729
 
5.2%
2 687
 
4.9%
6 572
 
4.1%
7 550
 
3.9%
3 486
 
3.5%
4 437
 
3.1%
8 399
 
2.9%
Other values (6) 591
 
4.2%
Hangul
ValueCountFrequency (%)
1937
 
8.7%
1681
 
7.5%
1590
 
7.1%
1545
 
6.9%
1545
 
6.9%
1527
 
6.8%
1514
 
6.8%
1496
 
6.7%
1491
 
6.7%
1060
 
4.7%
Other values (116) 6954
31.1%
Distinct1236
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum1998-09-28 00:00:00
Maximum2022-08-24 00:00:00
2023-12-23T07:11:32.437868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:11:33.765871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1305
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum1995-03-15 00:00:00
Maximum2107-07-08 00:00:00
2023-12-23T07:11:35.142385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:11:36.565078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1257
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2000-12-13 00:00:00
Maximum2022-10-24 00:00:00
2023-12-23T07:11:37.715755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:11:38.658633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주용도
Categorical

Distinct28
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
공장
752 
공동주택
191 
제1종근린생활시설
88 
의료시설
 
74
교육연구시설
 
51
Other values (23)
336 

Length

Max length10
Median length2
Mean length3.6896783
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
공장 752
50.4%
공동주택 191
 
12.8%
제1종근린생활시설 88
 
5.9%
의료시설 74
 
5.0%
교육연구시설 51
 
3.4%
숙박시설 50
 
3.4%
업무시설 38
 
2.5%
제2종근린생활시설 31
 
2.1%
창고시설 30
 
2.0%
종교시설 28
 
1.9%
Other values (18) 159
 
10.7%

Length

2023-12-23T07:11:39.537395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장 752
50.4%
공동주택 191
 
12.8%
제1종근린생활시설 88
 
5.9%
의료시설 74
 
5.0%
교육연구시설 51
 
3.4%
숙박시설 50
 
3.4%
업무시설 38
 
2.5%
제2종근린생활시설 31
 
2.1%
창고시설 30
 
2.0%
종교시설 28
 
1.9%
Other values (18) 159
 
10.7%
Distinct446
Distinct (%)30.0%
Missing7
Missing (%)0.5%
Memory size11.8 KiB
2023-12-23T07:11:40.951866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length9.6976431
Min length2

Characters and Unicode

Total characters14401
Distinct characters230
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

Unique279 ?
Unique (%)18.8%

Sample

1st row건축사사무소마당
2nd row포스코건설
3rd row선재 건축사사무소
4th row(주)포스코에이앤씨건축사사무소
5th row건축사사무소 부명
ValueCountFrequency (%)
건축사사무소 572
26.1%
주)포스코건설 209
 
9.5%
포스코건설 72
 
3.3%
구성 47
 
2.1%
전원건축 44
 
2.0%
주)포스코에이앤씨건축사사무소 43
 
2.0%
건축사 39
 
1.8%
신도시 39
 
1.8%
사무소 39
 
1.8%
수건축 34
 
1.6%
Other values (436) 1053
48.1%
2023-12-23T07:11:43.876477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2329
16.2%
1661
11.5%
1350
 
9.4%
1162
 
8.1%
1158
 
8.0%
706
 
4.9%
536
 
3.7%
( 512
 
3.6%
) 512
 
3.6%
403
 
2.8%
Other values (220) 4072
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12597
87.5%
Space Separator 706
 
4.9%
Open Punctuation 512
 
3.6%
Close Punctuation 512
 
3.6%
Uppercase Letter 43
 
0.3%
Decimal Number 18
 
0.1%
Other Punctuation 7
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2329
18.5%
1661
13.2%
1350
10.7%
1162
 
9.2%
1158
 
9.2%
536
 
4.3%
403
 
3.2%
394
 
3.1%
360
 
2.9%
288
 
2.3%
Other values (197) 2956
23.5%
Uppercase Letter
ValueCountFrequency (%)
A 12
27.9%
E 11
25.6%
G 8
18.6%
D 3
 
7.0%
C 2
 
4.7%
K 2
 
4.7%
T 1
 
2.3%
U 1
 
2.3%
Y 1
 
2.3%
H 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
3 10
55.6%
1 6
33.3%
2 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
& 2
28.6%
, 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
e 2
50.0%
Space Separator
ValueCountFrequency (%)
706
100.0%
Open Punctuation
ValueCountFrequency (%)
( 512
100.0%
Close Punctuation
ValueCountFrequency (%)
) 512
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12597
87.5%
Common 1757
 
12.2%
Latin 47
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2329
18.5%
1661
13.2%
1350
10.7%
1162
 
9.2%
1158
 
9.2%
536
 
4.3%
403
 
3.2%
394
 
3.1%
360
 
2.9%
288
 
2.3%
Other values (197) 2956
23.5%
Latin
ValueCountFrequency (%)
A 12
25.5%
E 11
23.4%
G 8
17.0%
D 3
 
6.4%
C 2
 
4.3%
i 2
 
4.3%
e 2
 
4.3%
K 2
 
4.3%
T 1
 
2.1%
U 1
 
2.1%
Other values (3) 3
 
6.4%
Common
ValueCountFrequency (%)
706
40.2%
( 512
29.1%
) 512
29.1%
3 10
 
0.6%
1 6
 
0.3%
. 4
 
0.2%
- 2
 
0.1%
& 2
 
0.1%
2 2
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12597
87.5%
ASCII 1804
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2329
18.5%
1661
13.2%
1350
10.7%
1162
 
9.2%
1158
 
9.2%
536
 
4.3%
403
 
3.2%
394
 
3.1%
360
 
2.9%
288
 
2.3%
Other values (197) 2956
23.5%
ASCII
ValueCountFrequency (%)
706
39.1%
( 512
28.4%
) 512
28.4%
A 12
 
0.7%
E 11
 
0.6%
3 10
 
0.6%
G 8
 
0.4%
1 6
 
0.3%
. 4
 
0.2%
D 3
 
0.2%
Other values (13) 20
 
1.1%

감리사무소명
Text

MISSING 

Distinct459
Distinct (%)31.1%
Missing18
Missing (%)1.2%
Memory size11.8 KiB
2023-12-23T07:11:45.634041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length11.449118
Min length2

Characters and Unicode

Total characters16876
Distinct characters223
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

Unique264 ?
Unique (%)17.9%

Sample

1st rowKei 건축사사무소
2nd row(주)플랜에이건축사사무소
3rd row동남건축사사무소
4th row(주)플랜에이건축사사무소
5th row(주)포스코에이앤씨건축사사무소
ValueCountFrequency (%)
건축사사무소 543
24.0%
주)포스에이씨 108
 
4.8%
주)플랜에이건축사사무소 104
 
4.6%
주)포스코에이앤씨건축사사무소 100
 
4.4%
사무소 73
 
3.2%
건축사 70
 
3.1%
주)포스에이씨종합감리건축사사무소 51
 
2.3%
전원건축 36
 
1.6%
신도시 34
 
1.5%
종합감리건축사사무소 28
 
1.2%
Other values (437) 1112
49.2%
2023-12-23T07:11:47.135563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2824
16.7%
1636
 
9.7%
1595
 
9.5%
1406
 
8.3%
1405
 
8.3%
785
 
4.7%
649
 
3.8%
) 620
 
3.7%
( 619
 
3.7%
484
 
2.9%
Other values (213) 4853
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14711
87.2%
Space Separator 785
 
4.7%
Close Punctuation 620
 
3.7%
Open Punctuation 619
 
3.7%
Uppercase Letter 89
 
0.5%
Other Punctuation 31
 
0.2%
Decimal Number 11
 
0.1%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2824
19.2%
1636
11.1%
1595
10.8%
1406
 
9.6%
1405
 
9.6%
649
 
4.4%
484
 
3.3%
417
 
2.8%
331
 
2.3%
308
 
2.1%
Other values (190) 3656
24.9%
Uppercase Letter
ValueCountFrequency (%)
A 20
22.5%
C 14
15.7%
S 11
12.4%
P 11
12.4%
O 11
12.4%
E 9
10.1%
G 7
 
7.9%
K 3
 
3.4%
T 1
 
1.1%
D 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 27
87.1%
, 2
 
6.5%
& 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
3 8
72.7%
1 2
 
18.2%
2 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
i 3
50.0%
e 3
50.0%
Space Separator
ValueCountFrequency (%)
785
100.0%
Close Punctuation
ValueCountFrequency (%)
) 620
100.0%
Open Punctuation
ValueCountFrequency (%)
( 619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14711
87.2%
Common 2070
 
12.3%
Latin 95
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2824
19.2%
1636
11.1%
1595
10.8%
1406
 
9.6%
1405
 
9.6%
649
 
4.4%
484
 
3.3%
417
 
2.8%
331
 
2.3%
308
 
2.1%
Other values (190) 3656
24.9%
Latin
ValueCountFrequency (%)
A 20
21.1%
C 14
14.7%
S 11
11.6%
P 11
11.6%
O 11
11.6%
E 9
9.5%
G 7
 
7.4%
i 3
 
3.2%
e 3
 
3.2%
K 3
 
3.2%
Other values (3) 3
 
3.2%
Common
ValueCountFrequency (%)
785
37.9%
) 620
30.0%
( 619
29.9%
. 27
 
1.3%
3 8
 
0.4%
- 4
 
0.2%
, 2
 
0.1%
1 2
 
0.1%
& 2
 
0.1%
2 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14711
87.2%
ASCII 2165
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2824
19.2%
1636
11.1%
1595
10.8%
1406
 
9.6%
1405
 
9.6%
649
 
4.4%
484
 
3.3%
417
 
2.8%
331
 
2.3%
308
 
2.1%
Other values (190) 3656
24.9%
ASCII
ValueCountFrequency (%)
785
36.3%
) 620
28.6%
( 619
28.6%
. 27
 
1.2%
A 20
 
0.9%
C 14
 
0.6%
S 11
 
0.5%
P 11
 
0.5%
O 11
 
0.5%
E 9
 
0.4%
Other values (13) 38
 
1.8%

시공자사무소명
Text

MISSING 

Distinct626
Distinct (%)44.6%
Missing87
Missing (%)5.8%
Memory size11.8 KiB
2023-12-23T07:11:48.204611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length8.4206406
Min length3

Characters and Unicode

Total characters11831
Distinct characters272
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

Unique448 ?
Unique (%)31.9%

Sample

1st row(주)포스코플랜텍
2nd row(주)포스코건설
3rd row율촌종합건설주식회사
4th row(주)포스코에이앤씨건축사사무소
5th row하원건설(주)
ValueCountFrequency (%)
주)포스코건설 141
 
9.5%
주식회사 50
 
3.4%
주)포스코플랜텍 34
 
2.3%
주)서희건설 27
 
1.8%
포스코개발(주 25
 
1.7%
운제종합건설(주 21
 
1.4%
대혁건설(주 19
 
1.3%
주)에스아이건설 16
 
1.1%
명보아이앤씨(주 15
 
1.0%
동양종합건설(주 15
 
1.0%
Other values (628) 1120
75.5%
2023-12-23T07:11:49.765738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1389
 
11.7%
) 1194
 
10.1%
( 1192
 
10.1%
1093
 
9.2%
1039
 
8.8%
513
 
4.3%
511
 
4.3%
321
 
2.7%
266
 
2.2%
253
 
2.1%
Other values (262) 4060
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9298
78.6%
Close Punctuation 1194
 
10.1%
Open Punctuation 1192
 
10.1%
Space Separator 79
 
0.7%
Uppercase Letter 37
 
0.3%
Other Punctuation 17
 
0.1%
Decimal Number 12
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1389
 
14.9%
1093
 
11.8%
1039
 
11.2%
513
 
5.5%
511
 
5.5%
321
 
3.5%
266
 
2.9%
253
 
2.7%
213
 
2.3%
175
 
1.9%
Other values (239) 3525
37.9%
Uppercase Letter
ValueCountFrequency (%)
C 9
24.3%
S 8
21.6%
O 5
13.5%
N 3
 
8.1%
P 2
 
5.4%
R 2
 
5.4%
H 2
 
5.4%
I 1
 
2.7%
T 1
 
2.7%
A 1
 
2.7%
Other values (3) 3
 
8.1%
Decimal Number
ValueCountFrequency (%)
2 10
83.3%
5 1
 
8.3%
9 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 10
58.8%
& 7
41.2%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
s 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1192
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9298
78.6%
Common 2494
 
21.1%
Latin 39
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1389
 
14.9%
1093
 
11.8%
1039
 
11.2%
513
 
5.5%
511
 
5.5%
321
 
3.5%
266
 
2.9%
253
 
2.7%
213
 
2.3%
175
 
1.9%
Other values (239) 3525
37.9%
Latin
ValueCountFrequency (%)
C 9
23.1%
S 8
20.5%
O 5
12.8%
N 3
 
7.7%
P 2
 
5.1%
R 2
 
5.1%
H 2
 
5.1%
I 1
 
2.6%
T 1
 
2.6%
A 1
 
2.6%
Other values (5) 5
12.8%
Common
ValueCountFrequency (%)
) 1194
47.9%
( 1192
47.8%
79
 
3.2%
. 10
 
0.4%
2 10
 
0.4%
& 7
 
0.3%
5 1
 
< 0.1%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9298
78.6%
ASCII 2533
 
21.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1389
 
14.9%
1093
 
11.8%
1039
 
11.2%
513
 
5.5%
511
 
5.5%
321
 
3.5%
266
 
2.9%
253
 
2.7%
213
 
2.3%
175
 
1.9%
Other values (239) 3525
37.9%
ASCII
ValueCountFrequency (%)
) 1194
47.1%
( 1192
47.1%
79
 
3.1%
. 10
 
0.4%
2 10
 
0.4%
C 9
 
0.4%
S 8
 
0.3%
& 7
 
0.3%
O 5
 
0.2%
N 3
 
0.1%
Other values (13) 16
 
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-18
1492 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-18
2nd row2023-12-18
3rd row2023-12-18
4th row2023-12-18
5th row2023-12-18

Common Values

ValueCountFrequency (%)
2023-12-18 1492
100.0%

Length

2023-12-23T07:11:50.551164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:11:51.072003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-18 1492
100.0%

Missing values

2023-12-23T07:11:27.726528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:11:28.178748image/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.
2023-12-23T07:11:28.652617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

대지위치착공처리일착공예정일사용승인일주용도설계사무소명감리사무소명시공자사무소명데이터기준일자
0경상북도 포항시 남구 동촌동 5 외72필지2022-08-242022-08-222022-10-11공장건축사사무소마당Kei 건축사사무소(주)포스코플랜텍2023-12-18
1경상북도 포항시 남구 동촌동 5 외72필지2022-06-292022-06-202022-08-09공장포스코건설(주)플랜에이건축사사무소(주)포스코건설2023-12-18
2경상북도 포항시 북구 청하면 신흥리 578-112022-06-212022-06-162022-07-26공장선재 건축사사무소동남건축사사무소율촌종합건설주식회사2023-12-18
3경상북도 포항시 남구 동촌동 5 외72필지2022-06-212022-06-222022-09-26공장(주)포스코에이앤씨건축사사무소(주)플랜에이건축사사무소(주)포스코에이앤씨건축사사무소2023-12-18
4경상북도 포항시 북구 흥해읍 용한리 855 외1필지2022-05-302022-05-272022-06-23공장건축사사무소 부명<NA>하원건설(주)2023-12-18
5경상북도 포항시 남구 동촌동 5 외72필지2022-05-242022-05-232022-10-24공장(주)포스코에이앤씨건축사사무소(주)포스코에이앤씨건축사사무소명보아이앤씨(주)2023-12-18
6경상북도 포항시 남구 동촌동 5 외72필지2022-04-182022-04-182022-09-08공장(주)포스코건설(주)포스코에이앤씨건축사사무소영동종합이엔시(주)2023-12-18
7경상북도 포항시 남구 동촌동 5 외72필지2022-03-292022-03-302022-06-30공장(주)포스코건설(주)포스코에이앤씨건축사사무소(주)서희건설2023-12-18
8경상북도 포항시 남구 동촌동 5 외72필지2022-03-222022-03-242022-08-08공장(주)포스코에이앤씨건축사사무소(주)포스코에이앤씨건축사사무소운제종합건설(주)2023-12-18
9경상북도 포항시 남구 해도동 118-4 외4필지2022-03-032022-02-222022-07-07판매시설건축사사무소 환경건축건축사사무소 예인현산종합건설주식회사2023-12-18
대지위치착공처리일착공예정일사용승인일주용도설계사무소명감리사무소명시공자사무소명데이터기준일자
1482경상북도 포항시 남구 동촌동 701-452000-09-132000-09-202001-05-23교육연구및복지시설(주)포스에이씨종합감리건축사(주)포스에이씨종합감리건축사삼수건설(주)2023-12-18
1483경상북도 포항시 남구 괴동동 501-1 외2필지2000-09-062000-09-062001-01-16공장포스코개발(주)포스코개발(주)포스코개발(주)2023-12-18
1484경상북도 포항시 남구 호동 6062000-07-132000-07-132001-03-13공장건축사사무소 모든건축사사무소 모든정운종합건설(주)2023-12-18
1485경상북도 포항시 남구 괴동동 1001 외1필지2000-07-112000-11-202001-03-29공장건축사사무소 조은건축건축사사무소 조은건축세환토건(주)2023-12-18
1486경상북도 포항시 남구 포항시남구 169-3 외1필지2000-06-272000-06-302000-12-13문화및집회시설(주)동은건축사사무소(주)동은건축사사무소(주)삼일2023-12-18
1487경상북도 포항시 남구 포항시남구2000-05-132000-05-152001-11-06공장포스코개발(주)(주)포스에이씨 건축사 사무소포스코개발(주)2023-12-18
1488경상북도 포항시 남구 장흥동-547 외41필지2000-05-042000-05-102000-12-22공장건축사사무소 마당건축사사무소 마당동국산업(주)2023-12-18
1489경상북도 포항시 남구 동촌동 5 외66필지2000-04-262000-09-052001-03-05공장포스코개발(주)포스코개발(주)동광산업(주)2023-12-18
1490경상북도 포항시 남구 장흥동 8421999-08-161999-07-262001-12-20제1종근린생활시설(주)성림건축한국전력공사(주)유금건설2023-12-18
1491경상북도 포항시 남구 동해면 입암리 산 549-11998-09-281998-09-282001-10-31숙박시설(주)공간건축사사무소(주)공간건축사사무소<NA>2023-12-18