Overview

Dataset statistics

Number of variables8
Number of observations481
Missing cells120
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.2 KiB
Average record size in memory64.3 B

Variable types

Text5
DateTime1
Categorical2

Dataset

Description충청북도 내 건축사 사무소의 신고 현황에 대한 데이터로 신고번호, 신고일, 사무소 명칭, 영업, 신고, 도로명 주소, 전화번호, 건축사 등과 같은 정보를 제공합니다.
Author충청북도
URLhttps://www.data.go.kr/data/15034636/fileData.do

Alerts

영업구분 is highly imbalanced (66.3%)Imbalance
전화번호 has 120 (24.9%) missing valuesMissing
신고번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:54:59.767495
Analysis finished2023-12-12 03:55:00.714055
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고번호
Text

UNIQUE 

Distinct481
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T12:55:00.903306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.869023
Min length18

Characters and Unicode

Total characters9557
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique481 ?
Unique (%)100.0%

Sample

1st row0991-충청북도-건축사사무소-9
2nd row1985-충청북도-건축사사무소-155
3rd row1985-충청북도-건축사사무소-157
4th row1986-충청북도-건축사사무소-158
5th row1987-충청북도-건축사사무소-3
ValueCountFrequency (%)
0991-충청북도-건축사사무소-9 1
 
0.2%
2014-충청북도-건축사사무소-408 1
 
0.2%
2018-충청북도-건축사사무소-517 1
 
0.2%
2018-충청북도-건축사사무소-516 1
 
0.2%
2018-충청북도-건축사사무소-515 1
 
0.2%
2018-충청북도-건축사사무소-514 1
 
0.2%
2018-충청북도-건축사사무소-513 1
 
0.2%
2018-충청북도-건축사사무소-512 1
 
0.2%
2018-충청북도-건축사사무소-511 1
 
0.2%
2018-충청북도-건축사사무소-510 1
 
0.2%
Other values (471) 471
97.9%
2023-12-12T12:55:01.460239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1443
15.1%
사 962
 
10.1%
2 712
 
7.5%
0 683
 
7.1%
충 481
 
5.0%
청 481
 
5.0%
북 481
 
5.0%
도 481
 
5.0%
건 481
 
5.0%
축 481
 
5.0%
Other values (10) 2871
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4810
50.3%
Decimal Number 3304
34.6%
Dash Punctuation 1443
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 712
21.5%
0 683
20.7%
1 475
14.4%
9 281
 
8.5%
6 235
 
7.1%
5 219
 
6.6%
4 219
 
6.6%
3 191
 
5.8%
7 145
 
4.4%
8 144
 
4.4%
Other Letter
ValueCountFrequency (%)
사 962
20.0%
충 481
10.0%
청 481
10.0%
북 481
10.0%
도 481
10.0%
건 481
10.0%
축 481
10.0%
무 481
10.0%
소 481
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 1443
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4810
50.3%
Common 4747
49.7%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1443
30.4%
2 712
15.0%
0 683
14.4%
1 475
 
10.0%
9 281
 
5.9%
6 235
 
5.0%
5 219
 
4.6%
4 219
 
4.6%
3 191
 
4.0%
7 145
 
3.1%
Hangul
ValueCountFrequency (%)
사 962
20.0%
충 481
10.0%
청 481
10.0%
북 481
10.0%
도 481
10.0%
건 481
10.0%
축 481
10.0%
무 481
10.0%
소 481
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4810
50.3%
ASCII 4747
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1443
30.4%
2 712
15.0%
0 683
14.4%
1 475
 
10.0%
9 281
 
5.9%
6 235
 
5.0%
5 219
 
4.6%
4 219
 
4.6%
3 191
 
4.0%
7 145
 
3.1%
Hangul
ValueCountFrequency (%)
사 962
20.0%
충 481
10.0%
청 481
10.0%
북 481
10.0%
도 481
10.0%
건 481
10.0%
축 481
10.0%
무 481
10.0%
소 481
10.0%

신고일
Date

Distinct418
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum1985-07-04 00:00:00
Maximum2023-08-17 00:00:00
2023-12-12T12:55:01.664188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:55:01.893924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
등록영업중
451 
전입영업중
 
30

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록영업중 451
93.8%
전입영업중 30
 
6.2%

Length

2023-12-12T12:55:02.066971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:55:02.203078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록영업중 451
93.8%
전입영업중 30
 
6.2%

신고구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
개인
395 
법인
86 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row법인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 395
82.1%
법인 86
 
17.9%

Length

2023-12-12T12:55:02.415551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:55:02.608257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 395
82.1%
법인 86
 
17.9%

사무소명
Text

Distinct477
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T12:55:03.016296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length9.6985447
Min length5

Characters and Unicode

Total characters4665
Distinct characters286
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique473 ?
Unique (%)98.3%

Sample

1st row한양종합건축사사무소
2nd row(주)이지훈건축사사무소
3rd row강계식건축사사무소
4th row제이에이건축사사무소
5th row기단건축사사무소
ValueCountFrequency (%)
건축사사무소 138
 
20.7%
주식회사 26
 
3.9%
종합건축사사무소 8
 
1.2%
윤 3
 
0.5%
현건축사사무소 2
 
0.3%
이루안건축사사무소 2
 
0.3%
공감 2
 
0.3%
청연 2
 
0.3%
바른건축사사무소 2
 
0.3%
화담건축사사무소 2
 
0.3%
Other values (478) 479
71.9%
2023-12-12T12:55:03.779611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 999
21.4%
건 497
 
10.7%
축 488
 
10.5%
소 485
 
10.4%
무 483
 
10.4%
187
 
4.0%
주 89
 
1.9%
( 54
 
1.2%
) 54
 
1.2%
이 52
 
1.1%
Other values (276) 1277
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4321
92.6%
Space Separator 187
 
4.0%
Open Punctuation 54
 
1.2%
Close Punctuation 54
 
1.2%
Uppercase Letter 24
 
0.5%
Lowercase Letter 15
 
0.3%
Other Punctuation 7
 
0.2%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 999
23.1%
건 497
11.5%
축 488
11.3%
소 485
11.2%
무 483
11.2%
주 89
 
2.1%
이 52
 
1.2%
합 49
 
1.1%
종 49
 
1.1%
식 35
 
0.8%
Other values (240) 1095
25.3%
Uppercase Letter
ValueCountFrequency (%)
I 4
16.7%
H 3
12.5%
A 3
12.5%
N 2
8.3%
M 2
8.3%
L 2
8.3%
E 2
8.3%
T 1
 
4.2%
D 1
 
4.2%
G 1
 
4.2%
Other values (3) 3
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
13.3%
s 2
13.3%
u 1
 
6.7%
l 1
 
6.7%
g 1
 
6.7%
d 1
 
6.7%
i 1
 
6.7%
o 1
 
6.7%
n 1
 
6.7%
k 1
 
6.7%
Other values (3) 3
20.0%
Other Punctuation
ValueCountFrequency (%)
· 3
42.9%
. 2
28.6%
& 1
 
14.3%
, 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4321
92.6%
Common 305
 
6.5%
Latin 39
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 999
23.1%
건 497
11.5%
축 488
11.3%
소 485
11.2%
무 483
11.2%
주 89
 
2.1%
이 52
 
1.2%
합 49
 
1.1%
종 49
 
1.1%
식 35
 
0.8%
Other values (240) 1095
25.3%
Latin
ValueCountFrequency (%)
I 4
 
10.3%
H 3
 
7.7%
A 3
 
7.7%
e 2
 
5.1%
N 2
 
5.1%
M 2
 
5.1%
L 2
 
5.1%
E 2
 
5.1%
s 2
 
5.1%
u 1
 
2.6%
Other values (16) 16
41.0%
Common
ValueCountFrequency (%)
187
61.3%
( 54
 
17.7%
) 54
 
17.7%
· 3
 
1.0%
. 2
 
0.7%
5 1
 
0.3%
& 1
 
0.3%
2 1
 
0.3%
, 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4321
92.6%
ASCII 341
 
7.3%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 999
23.1%
건 497
11.5%
축 488
11.3%
소 485
11.2%
무 483
11.2%
주 89
 
2.1%
이 52
 
1.2%
합 49
 
1.1%
종 49
 
1.1%
식 35
 
0.8%
Other values (240) 1095
25.3%
ASCII
ValueCountFrequency (%)
187
54.8%
( 54
 
15.8%
) 54
 
15.8%
I 4
 
1.2%
H 3
 
0.9%
A 3
 
0.9%
e 2
 
0.6%
N 2
 
0.6%
M 2
 
0.6%
. 2
 
0.6%
Other values (25) 28
 
8.2%
None
ValueCountFrequency (%)
· 3
100.0%

도로명주소
Text

Distinct450
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T12:55:04.101322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length27.494802
Min length14

Characters and Unicode

Total characters13225
Distinct characters252
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique425 ?
Unique (%)88.4%

Sample

1st row충청북도 청주시 상당구 무심동로 618, 3층
2nd row충청북도 보은군 보은읍 삼산로2길 14
3rd row충청북도 옥천군 옥천읍 중앙로 103
4th row충청북도 옥천군 옥천읍 삼양로 91
5th row충청북도 청주시 상당구 중앙로 57, 405호
ValueCountFrequency (%)
충청북도 481
 
16.4%
청주시 295
 
10.1%
2층 109
 
3.7%
상당구 93
 
3.2%
흥덕구 92
 
3.1%
청원구 65
 
2.2%
3층 60
 
2.1%
충주시 56
 
1.9%
1층 49
 
1.7%
서원구 45
 
1.5%
Other values (724) 1580
54.0%
2023-12-12T12:55:04.726874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2456
 
18.6%
청 867
 
6.6%
1 565
 
4.3%
충 550
 
4.2%
북 497
 
3.8%
도 481
 
3.6%
로 434
 
3.3%
2 421
 
3.2%
, 421
 
3.2%
시 383
 
2.9%
Other values (242) 6150
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7665
58.0%
Space Separator 2456
 
18.6%
Decimal Number 2383
 
18.0%
Other Punctuation 421
 
3.2%
Dash Punctuation 116
 
0.9%
Close Punctuation 77
 
0.6%
Open Punctuation 77
 
0.6%
Uppercase Letter 24
 
0.2%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 867
 
11.3%
충 550
 
7.2%
북 497
 
6.5%
도 481
 
6.3%
로 434
 
5.7%
시 383
 
5.0%
주 360
 
4.7%
구 299
 
3.9%
층 293
 
3.8%
길 196
 
2.6%
Other values (213) 3305
43.1%
Decimal Number
ValueCountFrequency (%)
1 565
23.7%
2 421
17.7%
3 310
13.0%
4 235
9.9%
0 210
 
8.8%
7 154
 
6.5%
6 149
 
6.3%
5 125
 
5.2%
8 119
 
5.0%
9 95
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
25.0%
K 5
20.8%
F 4
16.7%
O 2
 
8.3%
T 2
 
8.3%
L 1
 
4.2%
D 1
 
4.2%
S 1
 
4.2%
M 1
 
4.2%
Y 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
k 2
33.3%
o 2
33.3%
c 1
16.7%
f 1
16.7%
Space Separator
ValueCountFrequency (%)
2456
100.0%
Other Punctuation
ValueCountFrequency (%)
, 421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7664
58.0%
Common 5530
41.8%
Latin 30
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 867
 
11.3%
충 550
 
7.2%
북 497
 
6.5%
도 481
 
6.3%
로 434
 
5.7%
시 383
 
5.0%
주 360
 
4.7%
구 299
 
3.9%
층 293
 
3.8%
길 196
 
2.6%
Other values (212) 3304
43.1%
Common
ValueCountFrequency (%)
2456
44.4%
1 565
 
10.2%
2 421
 
7.6%
, 421
 
7.6%
3 310
 
5.6%
4 235
 
4.2%
0 210
 
3.8%
7 154
 
2.8%
6 149
 
2.7%
5 125
 
2.3%
Other values (5) 484
 
8.8%
Latin
ValueCountFrequency (%)
B 6
20.0%
K 5
16.7%
F 4
13.3%
O 2
 
6.7%
T 2
 
6.7%
k 2
 
6.7%
o 2
 
6.7%
L 1
 
3.3%
c 1
 
3.3%
D 1
 
3.3%
Other values (4) 4
13.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7664
58.0%
ASCII 5560
42.0%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2456
44.2%
1 565
 
10.2%
2 421
 
7.6%
, 421
 
7.6%
3 310
 
5.6%
4 235
 
4.2%
0 210
 
3.8%
7 154
 
2.8%
6 149
 
2.7%
5 125
 
2.2%
Other values (19) 514
 
9.2%
Hangul
ValueCountFrequency (%)
청 867
 
11.3%
충 550
 
7.2%
북 497
 
6.5%
도 481
 
6.3%
로 434
 
5.7%
시 383
 
5.0%
주 360
 
4.7%
구 299
 
3.9%
층 293
 
3.8%
길 196
 
2.6%
Other values (212) 3304
43.1%
CJK
ValueCountFrequency (%)
家 1
100.0%

전화번호
Text

MISSING 

Distinct353
Distinct (%)97.8%
Missing120
Missing (%)24.9%
Memory size3.9 KiB
2023-12-12T12:55:05.117893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.01662
Min length12

Characters and Unicode

Total characters4338
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

Unique345 ?
Unique (%)95.6%

Sample

1st row043-273-8120
2nd row043-543-2461
3rd row043-733-9071
4th row043-732-5752
5th row043-252-5156
ValueCountFrequency (%)
043-535-9926 2
 
0.6%
043-268-2558 2
 
0.6%
043-223-2484 2
 
0.6%
043-271-7875 2
 
0.6%
043-237-8101 2
 
0.6%
043-900-4848 2
 
0.6%
043-642-3440 2
 
0.6%
043-223-3838 2
 
0.6%
043-732-0484 1
 
0.3%
043-264-7511 1
 
0.3%
Other values (343) 343
95.0%
2023-12-12T12:55:05.642721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 722
16.6%
3 633
14.6%
0 608
14.0%
4 570
13.1%
2 458
10.6%
8 261
 
6.0%
5 254
 
5.9%
7 247
 
5.7%
1 232
 
5.3%
6 210
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3616
83.4%
Dash Punctuation 722
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 633
17.5%
0 608
16.8%
4 570
15.8%
2 458
12.7%
8 261
7.2%
5 254
7.0%
7 247
 
6.8%
1 232
 
6.4%
6 210
 
5.8%
9 143
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 722
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4338
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 722
16.6%
3 633
14.6%
0 608
14.0%
4 570
13.1%
2 458
10.6%
8 261
 
6.0%
5 254
 
5.9%
7 247
 
5.7%
1 232
 
5.3%
6 210
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 722
16.6%
3 633
14.6%
0 608
14.0%
4 570
13.1%
2 458
10.6%
8 261
 
6.0%
5 254
 
5.9%
7 247
 
5.7%
1 232
 
5.3%
6 210
 
4.8%

신고건축사
Text

Distinct477
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T12:55:06.168231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.991684
Min length2

Characters and Unicode

Total characters1439
Distinct characters169
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique473 ?
Unique (%)98.3%

Sample

1st row양철호
2nd row이지훈
3rd row강계식
4th row강경구
5th row박성인
ValueCountFrequency (%)
김태수 2
 
0.4%
장동훈 2
 
0.4%
김미경 2
 
0.4%
김현철 2
 
0.4%
박병열 1
 
0.2%
이흥재 1
 
0.2%
안정빈 1
 
0.2%
김용수 1
 
0.2%
김두영 1
 
0.2%
신승윤 1
 
0.2%
Other values (467) 467
97.1%
2023-12-12T12:55:06.882672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 91
 
6.3%
이 77
 
5.4%
정 51
 
3.5%
박 39
 
2.7%
영 35
 
2.4%
현 33
 
2.3%
기 32
 
2.2%
수 30
 
2.1%
희 27
 
1.9%
상 25
 
1.7%
Other values (159) 999
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 91
 
6.3%
이 77
 
5.4%
정 51
 
3.5%
박 39
 
2.7%
영 35
 
2.4%
현 33
 
2.3%
기 32
 
2.2%
수 30
 
2.1%
희 27
 
1.9%
상 25
 
1.7%
Other values (159) 999
69.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 91
 
6.3%
이 77
 
5.4%
정 51
 
3.5%
박 39
 
2.7%
영 35
 
2.4%
현 33
 
2.3%
기 32
 
2.2%
수 30
 
2.1%
희 27
 
1.9%
상 25
 
1.7%
Other values (159) 999
69.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 91
 
6.3%
이 77
 
5.4%
정 51
 
3.5%
박 39
 
2.7%
영 35
 
2.4%
현 33
 
2.3%
기 32
 
2.2%
수 30
 
2.1%
희 27
 
1.9%
상 25
 
1.7%
Other values (159) 999
69.4%

Correlations

2023-12-12T12:55:07.411507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업구분신고구분
영업구분1.0000.000
신고구분0.0001.000
2023-12-12T12:55:07.537415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고구분영업구분
신고구분1.0000.000
영업구분0.0001.000
2023-12-12T12:55:07.666130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업구분신고구분
영업구분1.0000.000
신고구분0.0001.000

Missing values

2023-12-12T12:55:00.497673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:55:00.653857image/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

신고번호신고일영업구분신고구분사무소명도로명주소전화번호신고건축사
00991-충청북도-건축사사무소-91991-09-19등록영업중개인한양종합건축사사무소충청북도 청주시 상당구 무심동로 618, 3층043-273-8120양철호
11985-충청북도-건축사사무소-1551985-07-04등록영업중법인(주)이지훈건축사사무소충청북도 보은군 보은읍 삼산로2길 14043-543-2461이지훈
21985-충청북도-건축사사무소-1571985-07-04등록영업중개인강계식건축사사무소충청북도 옥천군 옥천읍 중앙로 103043-733-9071강계식
31986-충청북도-건축사사무소-1581986-12-04등록영업중개인제이에이건축사사무소충청북도 옥천군 옥천읍 삼양로 91043-732-5752강경구
41987-충청북도-건축사사무소-31987-11-12등록영업중개인기단건축사사무소충청북도 청주시 상당구 중앙로 57, 405호043-252-5156박성인
51988-충청북도-건축사사무소-251988-01-09등록영업중개인대호건축사사무소충청북도 청주시 흥덕구 백봉로224번길 18, 봉명동2039 2층043-267-2800최호진
61991-충청북도-건축사사무소-101991-09-28등록영업중법인(주)홍진종합건축사사무소충청북도 청주시 상당구 상당로 190, 남향빌딩 4층043-252-7511김영욱
71991-충청북도-건축사사무소-1691991-01-10등록영업중개인박정걸건축사사무소충청북도 증평군 증평읍 광장로 89043-838-0954박정걸
81992-충청북도-건축사사무소-1621992-08-14등록영업중개인건축사사무소 진보충청북도 진천군 진천읍 상산로 8043-533-6906김성기
91993-충청북도-건축사사무소-121993-08-03등록영업중법인신성종합건축사사무소(주)충청북도 청주시 흥덕구 2순환로1261번길 40, 프라임타워 3층043-237-8101권오준
신고번호신고일영업구분신고구분사무소명도로명주소전화번호신고건축사
4712023-충청북도-건축사사무소-6732023-02-15등록영업중개인린건축사사무소충청북도 청주시 서원구 산남로70번길 34, 314호<NA>이형석
4722023-충청북도-건축사사무소-6742023-03-09등록영업중개인리아 건축사사무소충청북도 청주시 상당구 용암북로160번길 25, 5층043-297-3335홍주연
4732023-충청북도-건축사사무소-6752023-04-04등록영업중개인조이 건축사사무소충청북도 청주시 상당구 중앙로 57, 4층 4호<NA>노다히
4742023-충청북도-건축사사무소-6762023-04-05등록영업중개인성은 건축사사무소충청북도 청주시 서원구 봉명로 238, 사창동070-8732-8958오정교
4752023-충청북도-건축사사무소-6772023-04-05등록영업중개인정상 건축사사무소충청북도 청주시 서원구 남이면 대림로 240070-8984-4772정상인
4762023-충청북도-건축사사무소-6782014-04-01전입영업중개인선 건축사사무소충청북도 청주시 흥덕구 직지대로757번길 7, 1층043-241-3111반영선
4772023-충청북도-건축사사무소-6792023-07-06등록영업중개인나르건축사사무소충청북도 청주시 상당구 상당로 174-2, B동 2층<NA>김도현
4782023-충청북도-건축사사무소-6802023-07-26등록영업중개인늘 건축사사무소충청북도 옥천군 옥천읍 중앙로 104, 1층<NA>이종혁
4792023-충청북도-건축사사무소-6812023-07-05전입영업중개인좋은건축사사무소충청북도 청주시 청원구 율봉로 161, 204호<NA>나준흠
4802023-충청북도-건축사사무소-6822023-08-17등록영업중개인윤건축사사무소충청북도 청주시 청원구 무심동로 594, 3층<NA>이윤희