Overview

Dataset statistics

Number of variables7
Number of observations5227
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory286.0 KiB
Average record size in memory56.0 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description대구광역시_부동산 중개업소 현황_20240331
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069124&dataSetDetailId=150691241cbfb0d6dd279&provdMethod=FILE

Alerts

영업상태 is highly imbalanced (96.3%)Imbalance
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-05-04 08:31:33.056924
Analysis finished2024-05-04 08:31:35.640341
Duration2.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
대구광역시 수성구
1161 
대구광역시 달서구
1023 
대구광역시 북구
775 
대구광역시 동구
718 
대구광역시 달성군
502 
Other values (4)
1048 

Length

Max length9
Median length9
Mean length8.5247752
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 수성구 1161
22.2%
대구광역시 달서구 1023
19.6%
대구광역시 북구 775
14.8%
대구광역시 동구 718
13.7%
대구광역시 달성군 502
9.6%
대구광역시 중구 390
 
7.5%
대구광역시 서구 309
 
5.9%
대구광역시 남구 292
 
5.6%
대구광역시 군위군 57
 
1.1%

Length

2024-05-04T08:31:35.855647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:31:36.214076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 5227
50.0%
수성구 1161
 
11.1%
달서구 1023
 
9.8%
북구 775
 
7.4%
동구 718
 
6.9%
달성군 502
 
4.8%
중구 390
 
3.7%
서구 309
 
3.0%
남구 292
 
2.8%
군위군 57
 
0.5%

영업상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
영업중
5193 
휴업
 
31
휴업연장
 
3

Length

Max length4
Median length3
Mean length2.9946432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5193
99.3%
휴업 31
 
0.6%
휴업연장 3
 
0.1%

Length

2024-05-04T08:31:36.692562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:31:37.170076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5193
99.3%
휴업 31
 
0.6%
휴업연장 3
 
0.1%

등록번호
Text

UNIQUE 

Distinct5227
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
2024-05-04T08:31:37.685807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length14.09757
Min length7

Characters and Unicode

Total characters73688
Distinct characters18
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

Unique5227 ?
Unique (%)100.0%

Sample

1st row나-11-0058
2nd row나-11-0067
3rd row나-11-0091
4th row나-11-0146
5th row나-11-0179
ValueCountFrequency (%)
나-11-0058 1
 
< 0.1%
27260-2023-00078 1
 
< 0.1%
27260-2023-00103 1
 
< 0.1%
27260-2023-00102 1
 
< 0.1%
27260-2023-00101 1
 
< 0.1%
27260-2023-00100 1
 
< 0.1%
27260-2023-00099 1
 
< 0.1%
27260-2023-00098 1
 
< 0.1%
27260-2023-00095 1
 
< 0.1%
27260-2023-00094 1
 
< 0.1%
Other values (5218) 5218
99.8%
2024-05-04T08:31:38.817446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19893
27.0%
2 14798
20.1%
- 10512
14.3%
1 7975
10.8%
7 6104
 
8.3%
3 2748
 
3.7%
6 2529
 
3.4%
4 2257
 
3.1%
9 2110
 
2.9%
5 1679
 
2.3%
Other values (8) 3083
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61673
83.7%
Dash Punctuation 10512
 
14.3%
Other Letter 1502
 
2.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19893
32.3%
2 14798
24.0%
1 7975
12.9%
7 6104
 
9.9%
3 2748
 
4.5%
6 2529
 
4.1%
4 2257
 
3.7%
9 2110
 
3.4%
5 1679
 
2.7%
8 1580
 
2.6%
Other Letter
ValueCountFrequency (%)
가 1361
90.6%
구 57
 
3.8%
남 57
 
3.8%
나 24
 
1.6%
호 2
 
0.1%
제 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10512
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72186
98.0%
Hangul 1502
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19893
27.6%
2 14798
20.5%
- 10512
14.6%
1 7975
11.0%
7 6104
 
8.5%
3 2748
 
3.8%
6 2529
 
3.5%
4 2257
 
3.1%
9 2110
 
2.9%
5 1679
 
2.3%
Other values (2) 1581
 
2.2%
Hangul
ValueCountFrequency (%)
가 1361
90.6%
구 57
 
3.8%
남 57
 
3.8%
나 24
 
1.6%
호 2
 
0.1%
제 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72186
98.0%
Hangul 1502
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19893
27.6%
2 14798
20.5%
- 10512
14.6%
1 7975
11.0%
7 6104
 
8.5%
3 2748
 
3.8%
6 2529
 
3.5%
4 2257
 
3.1%
9 2110
 
2.9%
5 1679
 
2.3%
Other values (2) 1581
 
2.2%
Hangul
ValueCountFrequency (%)
가 1361
90.6%
구 57
 
3.8%
남 57
 
3.8%
나 24
 
1.6%
호 2
 
0.1%
제 1
 
0.1%

대표자
Text

Distinct4471
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
2024-05-04T08:31:39.507202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9959824
Min length2

Characters and Unicode

Total characters15660
Distinct characters258
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

Unique4000 ?
Unique (%)76.5%

Sample

1st row서수웅
2nd row심원규
3rd row예영재
4th row김영조
5th row김종웅
ValueCountFrequency (%)
김영미 10
 
0.2%
김현주 9
 
0.2%
김명희 9
 
0.2%
김정희 8
 
0.2%
김미경 8
 
0.2%
이은주 7
 
0.1%
김경희 7
 
0.1%
김지영 7
 
0.1%
이영숙 6
 
0.1%
김영희 6
 
0.1%
Other values (4461) 5150
98.5%
2024-05-04T08:31:40.679176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1078
 
6.9%
이 844
 
5.4%
정 702
 
4.5%
영 513
 
3.3%
박 462
 
3.0%
희 443
 
2.8%
경 365
 
2.3%
현 330
 
2.1%
숙 318
 
2.0%
미 313
 
2.0%
Other values (248) 10292
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15660
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1078
 
6.9%
이 844
 
5.4%
정 702
 
4.5%
영 513
 
3.3%
박 462
 
3.0%
희 443
 
2.8%
경 365
 
2.3%
현 330
 
2.1%
숙 318
 
2.0%
미 313
 
2.0%
Other values (248) 10292
65.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15660
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1078
 
6.9%
이 844
 
5.4%
정 702
 
4.5%
영 513
 
3.3%
박 462
 
3.0%
희 443
 
2.8%
경 365
 
2.3%
현 330
 
2.1%
숙 318
 
2.0%
미 313
 
2.0%
Other values (248) 10292
65.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15660
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1078
 
6.9%
이 844
 
5.4%
정 702
 
4.5%
영 513
 
3.3%
박 462
 
3.0%
희 443
 
2.8%
경 365
 
2.3%
현 330
 
2.1%
숙 318
 
2.0%
미 313
 
2.0%
Other values (248) 10292
65.7%

중개업소명
Text

Distinct4394
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
2024-05-04T08:31:41.286052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length11.50067
Min length5

Characters and Unicode

Total characters60114
Distinct characters596
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

Unique3909 ?
Unique (%)74.8%

Sample

1st row동서부동산중개사무소
2nd row안동부동산
3rd row미창부동산중개사무소
4th row연합부동산중개
5th row대한부동산중개사무소
ValueCountFrequency (%)
사무소 46
 
0.9%
공인중개사 30
 
0.6%
청구공인중개사사무소 8
 
0.1%
우주공인중개사사무소 8
 
0.1%
제일공인중개사사무소 8
 
0.1%
현대공인중개사사무소 7
 
0.1%
대구공인중개사사무소 7
 
0.1%
미래공인중개사사무소 7
 
0.1%
대한공인중개사사무소 7
 
0.1%
부동산중개 7
 
0.1%
Other values (4404) 5219
97.5%
2024-05-04T08:31:42.115505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 9296
15.5%
중 5255
 
8.7%
개 5245
 
8.7%
소 4785
 
8.0%
무 4750
 
7.9%
인 4618
 
7.7%
공 4518
 
7.5%
동 1491
 
2.5%
산 1393
 
2.3%
부 1365
 
2.3%
Other values (586) 17398
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58848
97.9%
Uppercase Letter 528
 
0.9%
Decimal Number 296
 
0.5%
Lowercase Letter 185
 
0.3%
Space Separator 135
 
0.2%
Dash Punctuation 39
 
0.1%
Open Punctuation 33
 
0.1%
Close Punctuation 33
 
0.1%
Other Punctuation 14
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 9296
15.8%
중 5255
 
8.9%
개 5245
 
8.9%
소 4785
 
8.1%
무 4750
 
8.1%
인 4618
 
7.8%
공 4518
 
7.7%
동 1491
 
2.5%
산 1393
 
2.4%
부 1365
 
2.3%
Other values (525) 16132
27.4%
Uppercase Letter
ValueCountFrequency (%)
K 85
16.1%
T 53
10.0%
W 45
 
8.5%
S 40
 
7.6%
A 39
 
7.4%
O 38
 
7.2%
E 25
 
4.7%
P 25
 
4.7%
H 24
 
4.5%
I 22
 
4.2%
Other values (14) 132
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 100
54.1%
h 18
 
9.7%
w 14
 
7.6%
n 10
 
5.4%
t 8
 
4.3%
a 7
 
3.8%
i 5
 
2.7%
u 4
 
2.2%
r 3
 
1.6%
s 3
 
1.6%
Other values (8) 13
 
7.0%
Decimal Number
ValueCountFrequency (%)
1 104
35.1%
3 42
14.2%
5 33
 
11.1%
2 27
 
9.1%
4 26
 
8.8%
0 20
 
6.8%
7 16
 
5.4%
6 16
 
5.4%
9 6
 
2.0%
8 6
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 6
42.9%
& 5
35.7%
· 2
 
14.3%
# 1
 
7.1%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58840
97.9%
Latin 713
 
1.2%
Common 553
 
0.9%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 9296
15.8%
중 5255
 
8.9%
개 5245
 
8.9%
소 4785
 
8.1%
무 4750
 
8.1%
인 4618
 
7.8%
공 4518
 
7.7%
동 1491
 
2.5%
산 1393
 
2.4%
부 1365
 
2.3%
Other values (518) 16124
27.4%
Latin
ValueCountFrequency (%)
e 100
14.0%
K 85
 
11.9%
T 53
 
7.4%
W 45
 
6.3%
S 40
 
5.6%
A 39
 
5.5%
O 38
 
5.3%
E 25
 
3.5%
P 25
 
3.5%
H 24
 
3.4%
Other values (32) 239
33.5%
Common
ValueCountFrequency (%)
135
24.4%
1 104
18.8%
3 42
 
7.6%
- 39
 
7.1%
( 33
 
6.0%
) 33
 
6.0%
5 33
 
6.0%
2 27
 
4.9%
4 26
 
4.7%
0 20
 
3.6%
Other values (9) 61
11.0%
Han
ValueCountFrequency (%)
新 2
25.0%
地 1
12.5%
天 1
12.5%
樂 1
12.5%
正 1
12.5%
大 1
12.5%
源 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58840
97.9%
ASCII 1264
 
2.1%
CJK 7
 
< 0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 9296
15.8%
중 5255
 
8.9%
개 5245
 
8.9%
소 4785
 
8.1%
무 4750
 
8.1%
인 4618
 
7.8%
공 4518
 
7.7%
동 1491
 
2.5%
산 1393
 
2.4%
부 1365
 
2.3%
Other values (518) 16124
27.4%
ASCII
ValueCountFrequency (%)
135
 
10.7%
1 104
 
8.2%
e 100
 
7.9%
K 85
 
6.7%
T 53
 
4.2%
W 45
 
3.6%
3 42
 
3.3%
S 40
 
3.2%
A 39
 
3.1%
- 39
 
3.1%
Other values (50) 582
46.0%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
新 2
28.6%
地 1
14.3%
天 1
14.3%
正 1
14.3%
大 1
14.3%
源 1
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

사무소주소
Text

Distinct4919
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
2024-05-04T08:31:42.827415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length30.721255
Min length15

Characters and Unicode

Total characters160580
Distinct characters427
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4665 ?
Unique (%)89.2%

Sample

1st row대구광역시 중구 동성로5길 20 지하층(삼덕동1가)
2nd row대구광역시 중구 대봉로43안길 13 (대봉동)
3rd row대구광역시 중구 중앙대로67길 7-1 (남산동)
4th row대구광역시 중구 국채보상로 549 (종로1가)
5th row대구광역시 중구 명덕로35길 66
ValueCountFrequency (%)
대구광역시 5227
 
17.2%
수성구 1161
 
3.8%
달서구 1023
 
3.4%
북구 775
 
2.5%
동구 718
 
2.4%
달성군 502
 
1.6%
중구 390
 
1.3%
1층 359
 
1.2%
서구 309
 
1.0%
남구 292
 
1.0%
Other values (4989) 19714
64.7%
2024-05-04T08:31:44.095267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26003
 
16.2%
구 10896
 
6.8%
1 8383
 
5.2%
동 7056
 
4.4%
대 6826
 
4.3%
시 5576
 
3.5%
역 5443
 
3.4%
광 5246
 
3.3%
로 5116
 
3.2%
0 4193
 
2.6%
Other values (417) 75842
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94344
58.8%
Decimal Number 29128
 
18.1%
Space Separator 26003
 
16.2%
Close Punctuation 3874
 
2.4%
Open Punctuation 3873
 
2.4%
Other Punctuation 2209
 
1.4%
Dash Punctuation 635
 
0.4%
Uppercase Letter 430
 
0.3%
Lowercase Letter 79
 
< 0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 10896
 
11.5%
동 7056
 
7.5%
대 6826
 
7.2%
시 5576
 
5.9%
역 5443
 
5.8%
광 5246
 
5.6%
로 5116
 
5.4%
성 2836
 
3.0%
호 2704
 
2.9%
길 2157
 
2.3%
Other values (365) 40488
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 80
18.6%
A 79
18.4%
S 49
11.4%
W 29
 
6.7%
E 27
 
6.3%
R 23
 
5.3%
U 23
 
5.3%
Q 23
 
5.3%
K 20
 
4.7%
C 18
 
4.2%
Other values (10) 59
13.7%
Lowercase Letter
ValueCountFrequency (%)
e 32
40.5%
t 11
 
13.9%
k 10
 
12.7%
x 9
 
11.4%
l 5
 
6.3%
s 3
 
3.8%
w 2
 
2.5%
a 2
 
2.5%
p 2
 
2.5%
m 1
 
1.3%
Other values (2) 2
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 8383
28.8%
0 4193
14.4%
2 3888
13.3%
3 2998
 
10.3%
4 2196
 
7.5%
5 2024
 
6.9%
6 1658
 
5.7%
7 1543
 
5.3%
9 1143
 
3.9%
8 1102
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 2205
99.8%
/ 3
 
0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
26003
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3874
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 635
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94344
58.8%
Common 65727
40.9%
Latin 509
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 10896
 
11.5%
동 7056
 
7.5%
대 6826
 
7.2%
시 5576
 
5.9%
역 5443
 
5.8%
광 5246
 
5.6%
로 5116
 
5.4%
성 2836
 
3.0%
호 2704
 
2.9%
길 2157
 
2.3%
Other values (365) 40488
42.9%
Latin
ValueCountFrequency (%)
B 80
15.7%
A 79
15.5%
S 49
 
9.6%
e 32
 
6.3%
W 29
 
5.7%
E 27
 
5.3%
R 23
 
4.5%
U 23
 
4.5%
Q 23
 
4.5%
K 20
 
3.9%
Other values (22) 124
24.4%
Common
ValueCountFrequency (%)
26003
39.6%
1 8383
 
12.8%
0 4193
 
6.4%
2 3888
 
5.9%
) 3874
 
5.9%
( 3873
 
5.9%
3 2998
 
4.6%
, 2205
 
3.4%
4 2196
 
3.3%
5 2024
 
3.1%
Other values (10) 6090
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94344
58.8%
ASCII 66236
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26003
39.3%
1 8383
 
12.7%
0 4193
 
6.3%
2 3888
 
5.9%
) 3874
 
5.8%
( 3873
 
5.8%
3 2998
 
4.5%
, 2205
 
3.3%
4 2196
 
3.3%
5 2024
 
3.1%
Other values (42) 6599
 
10.0%
Hangul
ValueCountFrequency (%)
구 10896
 
11.5%
동 7056
 
7.5%
대 6826
 
7.2%
시 5576
 
5.9%
역 5443
 
5.8%
광 5246
 
5.6%
로 5116
 
5.4%
성 2836
 
3.0%
호 2704
 
2.9%
길 2157
 
2.3%
Other values (365) 40488
42.9%

등록일
Date

Distinct2923
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
Minimum1984-05-16 00:00:00
Maximum2024-03-29 00:00:00
2024-05-04T08:31:44.594672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:31:44.933707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2024-05-04T08:31:45.150542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명영업상태
시군구명1.0000.027
영업상태0.0271.000
2024-05-04T08:31:45.350578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태시군구명
영업상태1.0000.012
시군구명0.0121.000
2024-05-04T08:31:45.523389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명영업상태
시군구명1.0000.012
영업상태0.0121.000

Missing values

2024-05-04T08:31:35.077149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T08:31:35.490915image/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

시군구명영업상태등록번호대표자중개업소명사무소주소등록일
0대구광역시 중구영업중나-11-0058서수웅동서부동산중개사무소대구광역시 중구 동성로5길 20 지하층(삼덕동1가)1984-05-30
1대구광역시 중구영업중나-11-0067심원규안동부동산대구광역시 중구 대봉로43안길 13 (대봉동)1984-06-01
2대구광역시 중구영업중나-11-0091예영재미창부동산중개사무소대구광역시 중구 중앙대로67길 7-1 (남산동)1984-06-01
3대구광역시 중구영업중나-11-0146김영조연합부동산중개대구광역시 중구 국채보상로 549 (종로1가)1984-06-01
4대구광역시 중구영업중나-11-0179김종웅대한부동산중개사무소대구광역시 중구 명덕로35길 661984-06-07
5대구광역시 중구휴업나-11-0245권종근동아부동산중개사무소대구광역시 중구 동성로 79-1 (동성로1가)1984-06-07
6대구광역시 중구영업중나-11-0250장효조동일부동산중개인사무소대구광역시 중구 경상감영길 152 ,2층(동성로2가)1984-06-11
7대구광역시 중구영업중나-11-0296이종태덕원부동산중개사무소대구광역시 중구 태평로22길 41-191984-07-07
8대구광역시 중구영업중나-11-0037곽재용대우진부동산중개사무소대구광역시 중구 동성로6길 48 3층 (성내1동)1984-05-30
9대구광역시 중구영업중나-11-0385하경태신평부동산중개사무소대구광역시 중구 동성로5길 15 (삼덕동1가)1985-10-11
시군구명영업상태등록번호대표자중개업소명사무소주소등록일
5217대구광역시 군위군영업중가-4222-80홍창표한밤부동산중개사무소대구광역시 군위군 군위읍 중앙길 462008-01-30
5218대구광역시 군위군영업중가-4222-81은순화미래부동산중개사무소대구광역시 군위군 군위읍 중앙길 112008-02-04
5219대구광역시 군위군영업중47720-2023-00004류유준다담다공인중개사사무소대구광역시 군위군 군위읍 중앙길 1212023-04-13
5220대구광역시 군위군영업중47720-2022-00001김임숙천지부동산공인중개사사무소대구광역시 군위군 군위읍 도군로 27142022-05-17
5221대구광역시 군위군영업중가-4222-86서덕교부계공인중개사사무소대구광역시 군위군 부계면 창평길 172009-01-02
5222대구광역시 군위군영업중가-4222-93권기도대성공인중개사사무소대구광역시 군위군 효령면 경북대로 22122010-01-11
5223대구광역시 군위군영업중47720-2019-00013유인주활주로공인중개사사무소대구광역시 군위군 군위읍 동서길 282019-12-24
5224대구광역시 군위군영업중47720-2020-00011김종수군위군공인중개사사무소대구광역시 군위군 군위읍 중앙길 1122020-09-17
5225대구광역시 군위군영업중47720-2021-00003정연우대경일등공인중개사사무소대구광역시 군위군 군위읍 도군로 27122019-08-14
5226대구광역시 군위군영업중47720-2023-00006최연희아세만공인중개사사무소대구광역시 군위군 효령면 경북대로 21592023-06-05