Overview

Dataset statistics

Number of variables9
Number of observations1341
Missing cells718
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.4 KiB
Average record size in memory72.1 B

Variable types

Text5
Categorical1
DateTime3

Dataset

Description부산광역시 금정구 건축물사용승인 현황으로 대지위치, 주용도 , 착공예정일, 착공처리일, 실제 착공일 , 사용승인일, 시공자 사무소, 감리사무소, 설계삼무소명 등을 제공합니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15099857/fileData.do

Alerts

시공자사무소명 has 678 (50.6%) missing valuesMissing
감리사무소명 has 15 (1.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:24:30.700064
Analysis finished2023-12-12 10:24:31.841215
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대지위치
Text

Distinct1330
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-12T19:24:32.038385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length20.072334
Min length15

Characters and Unicode

Total characters26917
Distinct characters40
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

Unique1320 ?
Unique (%)98.4%

Sample

1st row부산광역시 금정구 회동동 209-4
2nd row부산광역시 금정구 두구동 482-1 외1필지
3rd row부산광역시 금정구 회동동 107-9
4th row부산광역시 금정구 장전동 628-34
5th row부산광역시 금정구 두구동 1080-2
ValueCountFrequency (%)
부산광역시 1341
23.9%
금정구 1341
23.9%
장전동 308
 
5.5%
두구동 206
 
3.7%
남산동 184
 
3.3%
외1필지 173
 
3.1%
부곡동 153
 
2.7%
구서동 127
 
2.3%
서동 78
 
1.4%
금사동 67
 
1.2%
Other values (1317) 1639
29.2%
2023-12-12T19:24:32.547313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4276
15.9%
구 1674
 
6.2%
산 1532
 
5.7%
부 1494
 
5.6%
금 1432
 
5.3%
동 1400
 
5.2%
광 1341
 
5.0%
역 1341
 
5.0%
시 1341
 
5.0%
정 1341
 
5.0%
Other values (30) 9745
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15376
57.1%
Decimal Number 6013
 
22.3%
Space Separator 4276
 
15.9%
Dash Punctuation 1252
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1674
10.9%
산 1532
10.0%
부 1494
9.7%
금 1432
9.3%
동 1400
9.1%
광 1341
8.7%
역 1341
8.7%
시 1341
8.7%
정 1341
8.7%
전 308
 
2.0%
Other values (18) 2172
14.1%
Decimal Number
ValueCountFrequency (%)
1 1303
21.7%
2 879
14.6%
3 645
10.7%
4 522
8.7%
5 504
 
8.4%
6 461
 
7.7%
7 454
 
7.6%
8 431
 
7.2%
9 428
 
7.1%
0 386
 
6.4%
Space Separator
ValueCountFrequency (%)
4276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15376
57.1%
Common 11541
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1674
10.9%
산 1532
10.0%
부 1494
9.7%
금 1432
9.3%
동 1400
9.1%
광 1341
8.7%
역 1341
8.7%
시 1341
8.7%
정 1341
8.7%
전 308
 
2.0%
Other values (18) 2172
14.1%
Common
ValueCountFrequency (%)
4276
37.1%
1 1303
 
11.3%
- 1252
 
10.8%
2 879
 
7.6%
3 645
 
5.6%
4 522
 
4.5%
5 504
 
4.4%
6 461
 
4.0%
7 454
 
3.9%
8 431
 
3.7%
Other values (2) 814
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15376
57.1%
ASCII 11541
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4276
37.1%
1 1303
 
11.3%
- 1252
 
10.8%
2 879
 
7.6%
3 645
 
5.6%
4 522
 
4.5%
5 504
 
4.4%
6 461
 
4.0%
7 454
 
3.9%
8 431
 
3.7%
Other values (2) 814
 
7.1%
Hangul
ValueCountFrequency (%)
구 1674
10.9%
산 1532
10.0%
부 1494
9.7%
금 1432
9.3%
동 1400
9.1%
광 1341
8.7%
역 1341
8.7%
시 1341
8.7%
정 1341
8.7%
전 308
 
2.0%
Other values (18) 2172
14.1%

주용도
Categorical

Distinct20
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
단독주택
472 
제1종근린생활시설
282 
공동주택
239 
제2종근린생활시설
191 
공장
 
42
Other values (15)
115 

Length

Max length10
Median length4
Mean length5.7762864
Min length2

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row공장
2nd row제1종근린생활시설
3rd row제2종근린생활시설
4th row공동주택
5th row제1종근린생활시설

Common Values

ValueCountFrequency (%)
단독주택 472
35.2%
제1종근린생활시설 282
21.0%
공동주택 239
17.8%
제2종근린생활시설 191
14.2%
공장 42
 
3.1%
업무시설 39
 
2.9%
창고시설 30
 
2.2%
자동차관련시설 13
 
1.0%
자원순환관련시설 8
 
0.6%
의료시설 5
 
0.4%
Other values (10) 20
 
1.5%

Length

2023-12-12T19:24:32.746696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 472
35.2%
제1종근린생활시설 282
21.0%
공동주택 239
17.8%
제2종근린생활시설 191
14.2%
공장 42
 
3.1%
업무시설 39
 
2.9%
창고시설 30
 
2.2%
자동차관련시설 13
 
1.0%
자원순환관련시설 8
 
0.6%
의료시설 5
 
0.4%
Other values (10) 20
 
1.5%

착공예정일
Text

Distinct890
Distinct (%)66.8%
Missing9
Missing (%)0.7%
Memory size10.6 KiB
2023-12-12T19:24:33.123363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9984985
Min length8

Characters and Unicode

Total characters13318
Distinct characters11
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

Unique610 ?
Unique (%)45.8%

Sample

1st row2021-12-27
2nd row2021-12-06
3rd row2021-10-22
4th row2021-10-25
5th row2021-10-01
ValueCountFrequency (%)
2016-07-26 10
 
0.8%
2013-11-19 9
 
0.7%
2015-01-08 8
 
0.6%
2016-08-05 7
 
0.5%
2018-07-20 7
 
0.5%
2014-09-30 6
 
0.5%
2014-12-19 5
 
0.4%
2020-06-04 5
 
0.4%
2017-08-08 5
 
0.4%
2017-03-29 5
 
0.4%
Other values (880) 1265
95.0%
2023-12-12T19:24:33.741074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3112
23.4%
- 2664
20.0%
1 2326
17.5%
2 2248
16.9%
6 547
 
4.1%
5 544
 
4.1%
7 440
 
3.3%
8 390
 
2.9%
4 366
 
2.7%
3 345
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10654
80.0%
Dash Punctuation 2664
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3112
29.2%
1 2326
21.8%
2 2248
21.1%
6 547
 
5.1%
5 544
 
5.1%
7 440
 
4.1%
8 390
 
3.7%
4 366
 
3.4%
3 345
 
3.2%
9 336
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 2664
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3112
23.4%
- 2664
20.0%
1 2326
17.5%
2 2248
16.9%
6 547
 
4.1%
5 544
 
4.1%
7 440
 
3.3%
8 390
 
2.9%
4 366
 
2.7%
3 345
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3112
23.4%
- 2664
20.0%
1 2326
17.5%
2 2248
16.9%
6 547
 
4.1%
5 544
 
4.1%
7 440
 
3.3%
8 390
 
2.9%
4 366
 
2.7%
3 345
 
2.6%

착공처리일
Date

Distinct844
Distinct (%)63.3%
Missing8
Missing (%)0.6%
Memory size10.6 KiB
Minimum2003-06-30 00:00:00
Maximum2021-12-30 00:00:00
2023-12-12T19:24:33.918330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:24:34.078753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

실제착공일
Date

Distinct891
Distinct (%)66.8%
Missing8
Missing (%)0.6%
Memory size10.6 KiB
Minimum2003-06-30 00:00:00
Maximum2021-12-27 00:00:00
2023-12-12T19:24:34.247820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:24:34.432389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일
Date

Distinct859
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum2015-01-02 00:00:00
Maximum2022-04-13 00:00:00
2023-12-12T19:24:34.625598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:24:34.795382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시공자사무소명
Text

MISSING 

Distinct377
Distinct (%)56.9%
Missing678
Missing (%)50.6%
Memory size10.6 KiB
2023-12-12T19:24:35.083926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length8.8717949
Min length4

Characters and Unicode

Total characters5882
Distinct characters203
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)39.5%

Sample

1st row덕한건설(주)
2nd row태흥종합건설(주)
3rd row(주)호방종합건설
4th row태진종합건설(주)
5th row(주)선정종합건설
ValueCountFrequency (%)
주식회사 33
 
4.7%
해웅종합건설(주 19
 
2.7%
예림종합건설(주 16
 
2.3%
동우종합건설(주 16
 
2.3%
제세종합건설(주 12
 
1.7%
주)재유종합건설 12
 
1.7%
주식회사재유건설 9
 
1.3%
주)우진종합건설 8
 
1.1%
동국종합건설(주 8
 
1.1%
성도종합건설(주 7
 
1.0%
Other values (366) 559
80.0%
2023-12-12T19:24:35.549174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 661
 
11.2%
건 601
 
10.2%
설 573
 
9.7%
) 541
 
9.2%
( 536
 
9.1%
종 477
 
8.1%
합 472
 
8.0%
식 112
 
1.9%
사 111
 
1.9%
회 111
 
1.9%
Other values (193) 1687
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4766
81.0%
Close Punctuation 541
 
9.2%
Open Punctuation 536
 
9.1%
Space Separator 36
 
0.6%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 661
13.9%
건 601
 
12.6%
설 573
 
12.0%
종 477
 
10.0%
합 472
 
9.9%
식 112
 
2.3%
사 111
 
2.3%
회 111
 
2.3%
우 64
 
1.3%
이 63
 
1.3%
Other values (187) 1521
31.9%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
: 1
33.3%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 541
100.0%
Open Punctuation
ValueCountFrequency (%)
( 536
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4766
81.0%
Common 1116
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 661
13.9%
건 601
 
12.6%
설 573
 
12.0%
종 477
 
10.0%
합 472
 
9.9%
식 112
 
2.3%
사 111
 
2.3%
회 111
 
2.3%
우 64
 
1.3%
이 63
 
1.3%
Other values (187) 1521
31.9%
Common
ValueCountFrequency (%)
) 541
48.5%
( 536
48.0%
36
 
3.2%
. 1
 
0.1%
: 1
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4766
81.0%
ASCII 1116
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 661
13.9%
건 601
 
12.6%
설 573
 
12.0%
종 477
 
10.0%
합 472
 
9.9%
식 112
 
2.3%
사 111
 
2.3%
회 111
 
2.3%
우 64
 
1.3%
이 63
 
1.3%
Other values (187) 1521
31.9%
ASCII
ValueCountFrequency (%)
) 541
48.5%
( 536
48.0%
36
 
3.2%
. 1
 
0.1%
: 1
 
0.1%
, 1
 
0.1%

감리사무소명
Text

MISSING 

Distinct778
Distinct (%)58.7%
Missing15
Missing (%)1.1%
Memory size10.6 KiB
2023-12-12T19:24:35.922054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length10.308446
Min length6

Characters and Unicode

Total characters13669
Distinct characters298
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique509 ?
Unique (%)38.4%

Sample

1st row중앙CM건축사사무소
2nd row건축사사무소 유성
3rd row다우건축사사무소
4th row이에이 건축사사무소
5th row대상 건축사사무소
ValueCountFrequency (%)
건축사사무소 423
 
22.4%
종합건축사사무소 82
 
4.3%
해조 32
 
1.7%
주식회사 24
 
1.3%
도원 22
 
1.2%
광원 13
 
0.7%
주)서강종합건축사사무소 12
 
0.6%
해조건축사사무소 10
 
0.5%
지상 10
 
0.5%
건축사사무소예성 9
 
0.5%
Other values (761) 1255
66.3%
2023-12-12T19:24:36.542037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2671
19.5%
건 1421
 
10.4%
축 1397
 
10.2%
소 1323
 
9.7%
무 1315
 
9.6%
579
 
4.2%
주 297
 
2.2%
종 285
 
2.1%
합 280
 
2.0%
) 255
 
1.9%
Other values (288) 3846
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12284
89.9%
Space Separator 579
 
4.2%
Close Punctuation 255
 
1.9%
Open Punctuation 254
 
1.9%
Uppercase Letter 164
 
1.2%
Decimal Number 52
 
0.4%
Other Punctuation 38
 
0.3%
Lowercase Letter 34
 
0.2%
Dash Punctuation 8
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2671
21.7%
건 1421
11.6%
축 1397
11.4%
소 1323
10.8%
무 1315
10.7%
주 297
 
2.4%
종 285
 
2.3%
합 280
 
2.3%
이 177
 
1.4%
지 113
 
0.9%
Other values (244) 3005
24.5%
Uppercase Letter
ValueCountFrequency (%)
A 44
26.8%
C 21
12.8%
S 15
 
9.1%
T 13
 
7.9%
E 13
 
7.9%
N 10
 
6.1%
P 7
 
4.3%
U 7
 
4.3%
M 6
 
3.7%
G 5
 
3.0%
Other values (9) 23
14.0%
Lowercase Letter
ValueCountFrequency (%)
a 8
23.5%
n 8
23.5%
p 5
14.7%
l 5
14.7%
s 2
 
5.9%
r 2
 
5.9%
c 2
 
5.9%
t 1
 
2.9%
e 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 22
42.3%
2 15
28.8%
5 7
 
13.5%
0 6
 
11.5%
4 1
 
1.9%
8 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 16
42.1%
& 15
39.5%
# 5
 
13.2%
' 1
 
2.6%
, 1
 
2.6%
Space Separator
ValueCountFrequency (%)
579
100.0%
Close Punctuation
ValueCountFrequency (%)
) 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12283
89.9%
Common 1186
 
8.7%
Latin 198
 
1.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2671
21.7%
건 1421
11.6%
축 1397
11.4%
소 1323
10.8%
무 1315
10.7%
주 297
 
2.4%
종 285
 
2.3%
합 280
 
2.3%
이 177
 
1.4%
지 113
 
0.9%
Other values (243) 3004
24.5%
Latin
ValueCountFrequency (%)
A 44
22.2%
C 21
10.6%
S 15
 
7.6%
T 13
 
6.6%
E 13
 
6.6%
N 10
 
5.1%
a 8
 
4.0%
n 8
 
4.0%
P 7
 
3.5%
U 7
 
3.5%
Other values (18) 52
26.3%
Common
ValueCountFrequency (%)
579
48.8%
) 255
21.5%
( 254
21.4%
1 22
 
1.9%
. 16
 
1.3%
& 15
 
1.3%
2 15
 
1.3%
- 8
 
0.7%
5 7
 
0.6%
0 6
 
0.5%
Other values (5) 9
 
0.8%
Han
ValueCountFrequency (%)
湞 1
50.0%
寅 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12281
89.8%
ASCII 1384
 
10.1%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2671
21.7%
건 1421
11.6%
축 1397
11.4%
소 1323
10.8%
무 1315
10.7%
주 297
 
2.4%
종 285
 
2.3%
합 280
 
2.3%
이 177
 
1.4%
지 113
 
0.9%
Other values (241) 3002
24.4%
ASCII
ValueCountFrequency (%)
579
41.8%
) 255
18.4%
( 254
18.4%
A 44
 
3.2%
1 22
 
1.6%
C 21
 
1.5%
. 16
 
1.2%
& 15
 
1.1%
2 15
 
1.1%
S 15
 
1.1%
Other values (33) 148
 
10.7%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
湞 1
50.0%
寅 1
50.0%

설계사무소명
Text

Distinct432
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-12T19:24:36.923454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length10.075317
Min length5

Characters and Unicode

Total characters13511
Distinct characters262
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)19.2%

Sample

1st row지구 건축사사무소
2nd row해조 건축사사무소
3rd row건축사사무소 서안
4th row가공 건축사사무소
5th row대상 건축사사무소
ValueCountFrequency (%)
건축사사무소 679
30.9%
해조 125
 
5.7%
종합건축사사무소 103
 
4.7%
케이 68
 
3.1%
동영 58
 
2.6%
주식회사 34
 
1.5%
광원 33
 
1.5%
아담 30
 
1.4%
아키펌 29
 
1.3%
유승 25
 
1.1%
Other values (430) 1014
46.1%
2023-12-12T19:24:37.426450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2689
19.9%
건 1402
 
10.4%
축 1391
 
10.3%
소 1326
 
9.8%
무 1320
 
9.8%
863
 
6.4%
주 243
 
1.8%
종 230
 
1.7%
합 227
 
1.7%
) 190
 
1.4%
Other values (252) 3630
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12052
89.2%
Space Separator 863
 
6.4%
Close Punctuation 190
 
1.4%
Open Punctuation 190
 
1.4%
Uppercase Letter 110
 
0.8%
Decimal Number 45
 
0.3%
Other Punctuation 33
 
0.2%
Lowercase Letter 14
 
0.1%
Dash Punctuation 13
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2689
22.3%
건 1402
11.6%
축 1391
11.5%
소 1326
11.0%
무 1320
11.0%
주 243
 
2.0%
종 230
 
1.9%
합 227
 
1.9%
조 172
 
1.4%
이 152
 
1.3%
Other values (212) 2900
24.1%
Uppercase Letter
ValueCountFrequency (%)
A 30
27.3%
C 14
12.7%
T 12
 
10.9%
N 10
 
9.1%
P 9
 
8.2%
E 9
 
8.2%
S 7
 
6.4%
M 5
 
4.5%
G 3
 
2.7%
J 2
 
1.8%
Other values (7) 9
 
8.2%
Lowercase Letter
ValueCountFrequency (%)
a 3
21.4%
n 3
21.4%
r 2
14.3%
c 1
 
7.1%
s 1
 
7.1%
e 1
 
7.1%
t 1
 
7.1%
p 1
 
7.1%
l 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 19
42.2%
2 13
28.9%
5 6
 
13.3%
0 5
 
11.1%
4 1
 
2.2%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
& 16
48.5%
. 10
30.3%
# 7
21.2%
Space Separator
ValueCountFrequency (%)
863
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12052
89.2%
Common 1335
 
9.9%
Latin 124
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2689
22.3%
건 1402
11.6%
축 1391
11.5%
소 1326
11.0%
무 1320
11.0%
주 243
 
2.0%
종 230
 
1.9%
합 227
 
1.9%
조 172
 
1.4%
이 152
 
1.3%
Other values (212) 2900
24.1%
Latin
ValueCountFrequency (%)
A 30
24.2%
C 14
11.3%
T 12
 
9.7%
N 10
 
8.1%
P 9
 
7.3%
E 9
 
7.3%
S 7
 
5.6%
M 5
 
4.0%
G 3
 
2.4%
a 3
 
2.4%
Other values (16) 22
17.7%
Common
ValueCountFrequency (%)
863
64.6%
) 190
 
14.2%
( 190
 
14.2%
1 19
 
1.4%
& 16
 
1.2%
2 13
 
1.0%
- 13
 
1.0%
. 10
 
0.7%
# 7
 
0.5%
5 6
 
0.4%
Other values (4) 8
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12052
89.2%
ASCII 1459
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2689
22.3%
건 1402
11.6%
축 1391
11.5%
소 1326
11.0%
무 1320
11.0%
주 243
 
2.0%
종 230
 
1.9%
합 227
 
1.9%
조 172
 
1.4%
이 152
 
1.3%
Other values (212) 2900
24.1%
ASCII
ValueCountFrequency (%)
863
59.2%
) 190
 
13.0%
( 190
 
13.0%
A 30
 
2.1%
1 19
 
1.3%
& 16
 
1.1%
C 14
 
1.0%
2 13
 
0.9%
- 13
 
0.9%
T 12
 
0.8%
Other values (30) 99
 
6.8%

Missing values

2023-12-12T19:24:31.398040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:24:31.570340image/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.
2023-12-12T19:24:31.749131image/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

대지위치주용도착공예정일착공처리일실제착공일사용승인일시공자사무소명감리사무소명설계사무소명
0부산광역시 금정구 회동동 209-4공장2021-12-272021-12-302021-12-272022-03-07덕한건설(주)중앙CM건축사사무소지구 건축사사무소
1부산광역시 금정구 두구동 482-1 외1필지제1종근린생활시설2021-12-062021-12-022021-12-062022-03-03<NA>건축사사무소 유성해조 건축사사무소
2부산광역시 금정구 회동동 107-9제2종근린생활시설2021-10-222021-10-272021-10-222022-03-29태흥종합건설(주)다우건축사사무소건축사사무소 서안
3부산광역시 금정구 장전동 628-34공동주택2021-10-252021-10-262021-10-252022-03-29(주)호방종합건설이에이 건축사사무소가공 건축사사무소
4부산광역시 금정구 두구동 1080-2제1종근린생활시설2021-10-012021-10-012021-10-012021-12-17<NA>대상 건축사사무소대상 건축사사무소
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6부산광역시 금정구 두구동 1043-4제1종근린생활시설2021-10-122021-10-182021-10-122022-02-10<NA>종합건축사사무소 한라해조 건축사사무소
7부산광역시 금정구 두구동 1043-8제1종근린생활시설2021-10-122021-10-182021-10-122022-04-13<NA>건축사사무소포엠해조 건축사사무소
8부산광역시 금정구 서동 118-8제2종근린생활시설2021-09-242021-09-232021-09-242021-11-25(주)선정종합건설주식회사 인우건축사사무소주식회사 인우건축사사무소
9부산광역시 금정구 부곡동 267-1제2종근린생활시설2021-09-302021-09-292021-09-302022-03-30(주)삼한종합건설심상건축사사무소경풍설계종합건축사사무소
대지위치주용도착공예정일착공처리일실제착공일사용승인일시공자사무소명감리사무소명설계사무소명
1331부산광역시 금정구 남산동 84-41공동주택2011-10-242011-10-202011-10-242015-01-09주,에이스주택삼주 건축사사무소삼주 건축사사무소
1332부산광역시 금정구 오륜동 583-4자동차관련시설2011-05-232011-05-182011-05-232016-06-20<NA><NA>해조 건축사사무소
1333부산광역시 금정구 노포동 118제1종근린생활시설2008-05-222008-05-222008-05-222020-10-14(주)한부종합건설한국전력공사가원엔지니어링건축사사무소
1334부산광역시 금정구 금성동 520-9공동주택2006-02-152006-02-082006-02-152018-01-15주식회사오룡건축사사무소 화영건축사사무소 화영
1335부산광역시 금정구 남산동 1000-4공동주택2003-06-302003-06-302003-06-302018-08-01주식회사 세황삼보건축사사무소삼보건축사사무소
1336부산광역시 금정구 장전동 646-66단독주택<NA><NA><NA>2015-02-09<NA><NA>건축사사무소오산
1337부산광역시 금정구 부곡동 737-47단독주택<NA><NA><NA>2015-02-16<NA><NA>건축사사무소 금강
1338부산광역시 금정구 서동 314-107단독주택<NA><NA><NA>2015-02-21<NA><NA>건축사사무소 진성
1339부산광역시 금정구 구서동 158-29단독주택<NA><NA><NA>2015-03-05<NA><NA>강안건축사사무소
1340부산광역시 금정구 두구동 247-1단독주택<NA><NA><NA>2015-03-09<NA><NA>가온21건축사사무소