Overview

Dataset statistics

Number of variables7
Number of observations1159
Missing cells293
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.6 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text5
Categorical1

Dataset

Description대구광역시_수성구_부동산중개업소 현황_20200917
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15054721&dataSetDetailId=15054721198aaac955218&provdMethod=FILE

Alerts

행정처분상태 has constant value ""Constant
전화번호 has 293 (25.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:55:42.515290
Analysis finished2023-12-10 19:55:44.132198
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean580
Minimum1
Maximum1159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-11T04:55:44.263110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.9
Q1290.5
median580
Q3869.5
95-th percentile1101.1
Maximum1159
Range1158
Interquartile range (IQR)579

Descriptive statistics

Standard deviation334.71879
Coefficient of variation (CV)0.57710136
Kurtosis-1.2
Mean580
Median Absolute Deviation (MAD)290
Skewness0
Sum672220
Variance112036.67
MonotonicityStrictly increasing
2023-12-11T04:55:44.617576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
798 1
 
0.1%
778 1
 
0.1%
777 1
 
0.1%
776 1
 
0.1%
775 1
 
0.1%
774 1
 
0.1%
773 1
 
0.1%
772 1
 
0.1%
771 1
 
0.1%
Other values (1149) 1149
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1159 1
0.1%
1158 1
0.1%
1157 1
0.1%
1156 1
0.1%
1155 1
0.1%
1154 1
0.1%
1153 1
0.1%
1152 1
0.1%
1151 1
0.1%
1150 1
0.1%

중개업등록번호
Text

Distinct1158
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-11T04:55:45.082604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.510785
Min length8

Characters and Unicode

Total characters15659
Distinct characters13
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

Unique1157 ?
Unique (%)99.8%

Sample

1st row27260-2019-00018
2nd row27260-2019-00072
3rd row가-16-4641
4th row27260-2018-00138
5th row27260-2019-00087
ValueCountFrequency (%)
27260-2020-00183 2
 
0.2%
27260-2017-00054 1
 
0.1%
27260-2016-00078 1
 
0.1%
27260-2018-00161 1
 
0.1%
가-16-2243 1
 
0.1%
27260-2017-00228 1
 
0.1%
가-16-3646 1
 
0.1%
가-16-2469 1
 
0.1%
27260-2019-00207 1
 
0.1%
가-16-3754 1
 
0.1%
Other values (1148) 1148
99.1%
2023-12-11T04:55:45.679991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3789
24.2%
2 2834
18.1%
- 2318
14.8%
1 1636
10.4%
6 1525
9.7%
7 1168
 
7.5%
9 422
 
2.7%
4 419
 
2.7%
가 405
 
2.6%
8 402
 
2.6%
Other values (3) 741
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12929
82.6%
Dash Punctuation 2318
 
14.8%
Other Letter 412
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3789
29.3%
2 2834
21.9%
1 1636
12.7%
6 1525
11.8%
7 1168
 
9.0%
9 422
 
3.3%
4 419
 
3.2%
8 402
 
3.1%
5 368
 
2.8%
3 366
 
2.8%
Other Letter
ValueCountFrequency (%)
가 405
98.3%
나 7
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 2318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15247
97.4%
Hangul 412
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3789
24.9%
2 2834
18.6%
- 2318
15.2%
1 1636
10.7%
6 1525
10.0%
7 1168
 
7.7%
9 422
 
2.8%
4 419
 
2.7%
8 402
 
2.6%
5 368
 
2.4%
Hangul
ValueCountFrequency (%)
가 405
98.3%
나 7
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15247
97.4%
Hangul 412
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3789
24.9%
2 2834
18.6%
- 2318
15.2%
1 1636
10.7%
6 1525
10.0%
7 1168
 
7.7%
9 422
 
2.8%
4 419
 
2.7%
8 402
 
2.6%
5 368
 
2.4%
Hangul
ValueCountFrequency (%)
가 405
98.3%
나 7
 
1.7%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
영업중
1159 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1159
100.0%

Length

2023-12-11T04:55:45.883310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:46.004172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1159
100.0%

상호명
Text

Distinct1158
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-11T04:55:46.266001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.336497
Min length6

Characters and Unicode

Total characters13139
Distinct characters423
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

Unique1157 ?
Unique (%)99.8%

Sample

1st row(주)현대부동산중개법인
2nd row(주)휴밍부동산중개법인
3rd row114공인중개사사무소
4th row114시지공인중개사사무소
5th row114윤공인중개사사무소
ValueCountFrequency (%)
주식회사 4
 
0.3%
궁전공인중개사사무소 2
 
0.2%
가람공인중개사사무소 2
 
0.2%
아크로타워부동산중개 1
 
0.1%
알짜공인중개사사무소 1
 
0.1%
알리다공인중개사사무소 1
 
0.1%
안병철부동산중개(주 1
 
0.1%
안가부동산공인중개사사무소 1
 
0.1%
아현공인중개사사무소 1
 
0.1%
알토란공인중개사사무소 1
 
0.1%
Other values (1150) 1150
98.7%
2023-12-11T04:55:46.771524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2098
16.0%
중 1163
 
8.9%
개 1160
 
8.8%
소 1076
 
8.2%
무 1069
 
8.1%
인 1043
 
7.9%
공 1016
 
7.7%
동 259
 
2.0%
산 239
 
1.8%
부 222
 
1.7%
Other values (413) 3794
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12892
98.1%
Uppercase Letter 135
 
1.0%
Decimal Number 44
 
0.3%
Lowercase Letter 41
 
0.3%
Dash Punctuation 8
 
0.1%
Space Separator 6
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2098
16.3%
중 1163
 
9.0%
개 1160
 
9.0%
소 1076
 
8.3%
무 1069
 
8.3%
인 1043
 
8.1%
공 1016
 
7.9%
동 259
 
2.0%
산 239
 
1.9%
부 222
 
1.7%
Other values (365) 3547
27.5%
Uppercase Letter
ValueCountFrequency (%)
K 25
18.5%
S 19
14.1%
B 9
 
6.7%
O 9
 
6.7%
A 8
 
5.9%
L 8
 
5.9%
J 8
 
5.9%
D 7
 
5.2%
W 7
 
5.2%
N 5
 
3.7%
Other values (12) 30
22.2%
Lowercase Letter
ValueCountFrequency (%)
e 25
61.0%
u 2
 
4.9%
t 2
 
4.9%
a 2
 
4.9%
i 2
 
4.9%
h 2
 
4.9%
n 1
 
2.4%
w 1
 
2.4%
r 1
 
2.4%
l 1
 
2.4%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 22
50.0%
4 7
 
15.9%
2 4
 
9.1%
3 4
 
9.1%
5 3
 
6.8%
7 2
 
4.5%
6 1
 
2.3%
9 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12892
98.1%
Latin 176
 
1.3%
Common 71
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2098
16.3%
중 1163
 
9.0%
개 1160
 
9.0%
소 1076
 
8.3%
무 1069
 
8.3%
인 1043
 
8.1%
공 1016
 
7.9%
동 259
 
2.0%
산 239
 
1.9%
부 222
 
1.7%
Other values (365) 3547
27.5%
Latin
ValueCountFrequency (%)
K 25
14.2%
e 25
14.2%
S 19
 
10.8%
B 9
 
5.1%
O 9
 
5.1%
A 8
 
4.5%
L 8
 
4.5%
J 8
 
4.5%
D 7
 
4.0%
W 7
 
4.0%
Other values (24) 51
29.0%
Common
ValueCountFrequency (%)
1 22
31.0%
- 8
 
11.3%
4 7
 
9.9%
6
 
8.5%
) 4
 
5.6%
2 4
 
5.6%
( 4
 
5.6%
3 4
 
5.6%
& 3
 
4.2%
5 3
 
4.2%
Other values (4) 6
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12892
98.1%
ASCII 247
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2098
16.3%
중 1163
 
9.0%
개 1160
 
9.0%
소 1076
 
8.3%
무 1069
 
8.3%
인 1043
 
8.1%
공 1016
 
7.9%
동 259
 
2.0%
산 239
 
1.9%
부 222
 
1.7%
Other values (365) 3547
27.5%
ASCII
ValueCountFrequency (%)
K 25
 
10.1%
e 25
 
10.1%
1 22
 
8.9%
S 19
 
7.7%
B 9
 
3.6%
O 9
 
3.6%
A 8
 
3.2%
L 8
 
3.2%
- 8
 
3.2%
J 8
 
3.2%
Other values (38) 106
42.9%

대 표 자
Text

Distinct1102
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-11T04:55:47.262388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9939603
Min length2

Characters and Unicode

Total characters3470
Distinct characters204
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

Unique1059 ?
Unique (%)91.4%

Sample

1st row이원혁
2nd row김선영
3rd row김일표
4th row금혜경
5th row윤태경
ValueCountFrequency (%)
김정희 5
 
0.4%
김미정 4
 
0.3%
김은경 4
 
0.3%
최윤정 3
 
0.3%
김명희 3
 
0.3%
이인숙 3
 
0.3%
박성호 3
 
0.3%
김영희 3
 
0.3%
김진홍 3
 
0.3%
김명자 3
 
0.3%
Other values (1092) 1125
97.1%
2023-12-11T04:55:47.933863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 241
 
6.9%
이 181
 
5.2%
정 162
 
4.7%
영 139
 
4.0%
박 118
 
3.4%
희 103
 
3.0%
경 81
 
2.3%
숙 73
 
2.1%
현 70
 
2.0%
미 69
 
2.0%
Other values (194) 2233
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3470
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 241
 
6.9%
이 181
 
5.2%
정 162
 
4.7%
영 139
 
4.0%
박 118
 
3.4%
희 103
 
3.0%
경 81
 
2.3%
숙 73
 
2.1%
현 70
 
2.0%
미 69
 
2.0%
Other values (194) 2233
64.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3470
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 241
 
6.9%
이 181
 
5.2%
정 162
 
4.7%
영 139
 
4.0%
박 118
 
3.4%
희 103
 
3.0%
경 81
 
2.3%
숙 73
 
2.1%
현 70
 
2.0%
미 69
 
2.0%
Other values (194) 2233
64.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3470
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 241
 
6.9%
이 181
 
5.2%
정 162
 
4.7%
영 139
 
4.0%
박 118
 
3.4%
희 103
 
3.0%
경 81
 
2.3%
숙 73
 
2.1%
현 70
 
2.0%
미 69
 
2.0%
Other values (194) 2233
64.4%

소재지
Text

Distinct1103
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-11T04:55:48.339807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length31.164797
Min length4

Characters and Unicode

Total characters36120
Distinct characters270
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

Unique1053 ?
Unique (%)90.9%

Sample

1st row대구광역시 수성구 알파시티2로 64 , 3층 (시지동)
2nd row대구광역시 수성구 범어천로 126 상가동 307호 (범어동, 코오롱하늘채 수)
3rd row대구광역시 수성구 달구벌대로511길 9 (만촌동)
4th row대구광역시 수성구 달구벌대로 3321
5th row대구광역시 수성구 달구벌대로 3022
ValueCountFrequency (%)
대구광역시 1158
 
17.2%
수성구 1158
 
17.2%
범어동 196
 
2.9%
동대구로 111
 
1.6%
만촌동 81
 
1.2%
달구벌대로 80
 
1.2%
76
 
1.1%
1층 61
 
0.9%
황금동 59
 
0.9%
청수로 52
 
0.8%
Other values (1225) 3715
55.1%
2023-12-11T04:55:49.039090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5588
 
15.5%
구 2651
 
7.3%
1 1679
 
4.6%
동 1544
 
4.3%
대 1509
 
4.2%
수 1482
 
4.1%
성 1463
 
4.1%
시 1307
 
3.6%
로 1170
 
3.2%
역 1165
 
3.2%
Other values (260) 16562
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21429
59.3%
Decimal Number 6430
 
17.8%
Space Separator 5588
 
15.5%
Open Punctuation 950
 
2.6%
Close Punctuation 949
 
2.6%
Other Punctuation 528
 
1.5%
Dash Punctuation 120
 
0.3%
Uppercase Letter 109
 
0.3%
Lowercase Letter 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2651
 
12.4%
동 1544
 
7.2%
대 1509
 
7.0%
수 1482
 
6.9%
성 1463
 
6.8%
시 1307
 
6.1%
로 1170
 
5.5%
역 1165
 
5.4%
광 1160
 
5.4%
호 626
 
2.9%
Other values (223) 7352
34.3%
Uppercase Letter
ValueCountFrequency (%)
B 24
22.0%
S 20
18.3%
A 13
11.9%
K 12
11.0%
C 10
9.2%
T 8
 
7.3%
X 7
 
6.4%
N 6
 
5.5%
F 4
 
3.7%
M 2
 
1.8%
Other values (3) 3
 
2.8%
Decimal Number
ValueCountFrequency (%)
1 1679
26.1%
0 895
13.9%
2 876
13.6%
3 682
10.6%
4 548
 
8.5%
5 477
 
7.4%
6 399
 
6.2%
7 359
 
5.6%
8 286
 
4.4%
9 229
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
47.1%
k 2
 
11.8%
s 2
 
11.8%
w 1
 
5.9%
r 1
 
5.9%
o 1
 
5.9%
i 1
 
5.9%
d 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 526
99.6%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
5588
100.0%
Open Punctuation
ValueCountFrequency (%)
( 950
100.0%
Close Punctuation
ValueCountFrequency (%)
) 949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21429
59.3%
Common 14565
40.3%
Latin 126
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2651
 
12.4%
동 1544
 
7.2%
대 1509
 
7.0%
수 1482
 
6.9%
성 1463
 
6.8%
시 1307
 
6.1%
로 1170
 
5.5%
역 1165
 
5.4%
광 1160
 
5.4%
호 626
 
2.9%
Other values (223) 7352
34.3%
Latin
ValueCountFrequency (%)
B 24
19.0%
S 20
15.9%
A 13
10.3%
K 12
9.5%
C 10
7.9%
e 8
 
6.3%
T 8
 
6.3%
X 7
 
5.6%
N 6
 
4.8%
F 4
 
3.2%
Other values (11) 14
11.1%
Common
ValueCountFrequency (%)
5588
38.4%
1 1679
 
11.5%
( 950
 
6.5%
) 949
 
6.5%
0 895
 
6.1%
2 876
 
6.0%
3 682
 
4.7%
4 548
 
3.8%
, 526
 
3.6%
5 477
 
3.3%
Other values (6) 1395
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21429
59.3%
ASCII 14691
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5588
38.0%
1 1679
 
11.4%
( 950
 
6.5%
) 949
 
6.5%
0 895
 
6.1%
2 876
 
6.0%
3 682
 
4.6%
4 548
 
3.7%
, 526
 
3.6%
5 477
 
3.2%
Other values (27) 1521
 
10.4%
Hangul
ValueCountFrequency (%)
구 2651
 
12.4%
동 1544
 
7.2%
대 1509
 
7.0%
수 1482
 
6.9%
성 1463
 
6.8%
시 1307
 
6.1%
로 1170
 
5.5%
역 1165
 
5.4%
광 1160
 
5.4%
호 626
 
2.9%
Other values (223) 7352
34.3%

전화번호
Text

MISSING 

Distinct844
Distinct (%)97.5%
Missing293
Missing (%)25.3%
Memory size9.2 KiB
2023-12-11T04:55:49.432178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.996536
Min length8

Characters and Unicode

Total characters10389
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

Unique823 ?
Unique (%)95.0%

Sample

1st row053-963-6677
2nd row053-743-4411
3rd row053-965-1140
4th row053-794-6263
5th row053-427-3009
ValueCountFrequency (%)
053-754-2600 3
 
0.3%
053-745-0660 2
 
0.2%
053-746-0056 2
 
0.2%
053-744-8949 2
 
0.2%
053-793-0660 2
 
0.2%
053-761-0088 2
 
0.2%
053-768-5489 2
 
0.2%
053-794-6611 2
 
0.2%
053-793-4500 2
 
0.2%
053-744-8899 2
 
0.2%
Other values (834) 845
97.6%
2023-12-11T04:55:49.984599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1749
16.8%
- 1731
16.7%
5 1441
13.9%
3 1276
12.3%
7 1111
10.7%
4 653
 
6.3%
9 586
 
5.6%
6 496
 
4.8%
1 479
 
4.6%
8 468
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8658
83.3%
Dash Punctuation 1731
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1749
20.2%
5 1441
16.6%
3 1276
14.7%
7 1111
12.8%
4 653
 
7.5%
9 586
 
6.8%
6 496
 
5.7%
1 479
 
5.5%
8 468
 
5.4%
2 399
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1731
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10389
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1749
16.8%
- 1731
16.7%
5 1441
13.9%
3 1276
12.3%
7 1111
10.7%
4 653
 
6.3%
9 586
 
5.6%
6 496
 
4.8%
1 479
 
4.6%
8 468
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10389
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1749
16.8%
- 1731
16.7%
5 1441
13.9%
3 1276
12.3%
7 1111
10.7%
4 653
 
6.3%
9 586
 
5.6%
6 496
 
4.8%
1 479
 
4.6%
8 468
 
4.5%

Interactions

2023-12-11T04:55:43.659596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T04:55:43.848030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:55:44.048730image/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

연번중개업등록번호행정처분상태상호명대 표 자소재지전화번호
0127260-2019-00018영업중(주)현대부동산중개법인이원혁대구광역시 수성구 알파시티2로 64 , 3층 (시지동)053-963-6677
1227260-2019-00072영업중(주)휴밍부동산중개법인김선영대구광역시 수성구 범어천로 126 상가동 307호 (범어동, 코오롱하늘채 수)<NA>
23가-16-4641영업중114공인중개사사무소김일표대구광역시 수성구 달구벌대로511길 9 (만촌동)053-743-4411
3427260-2018-00138영업중114시지공인중개사사무소금혜경대구광역시 수성구 달구벌대로 3321053-965-1140
4527260-2019-00087영업중114윤공인중개사사무소윤태경대구광역시 수성구 달구벌대로 3022053-794-6263
5627260-2020-00037영업중1번가공인중개사사무소강병권대구광역시 수성구 범어로 140 1층053-427-3009
6727260-2016-00035영업중1번지공인중개사사무소이호창대구광역시 수성구 청수로 40 (상동)053-764-4333
7827260-2016-00014영업중365일땡큐부동산공인중개사사무소곽화자대구광역시 수성구 동대구로 230 7동 14호(범어동,우방범어1차)053-742-1052
8927260-2019-00037영업중39공인중개사사무소최정애대구광역시 수성구 달구벌대로669길 20-20 301동 1호(사월동 시지3차 서한이다음)053-793-3939
910가-16-2990영업중7.7공인중개사사무소안순희대구광역시 수성구 청수로 214 상가101호(황금동,캐슬골드5단지)053-762-9580
연번중개업등록번호행정처분상태상호명대 표 자소재지전화번호
1149115027260-2017-00225영업중효신공인중개사사무소박금순대구광역시 수성구 달구벌대로625길 21 ,상가동 1층 107호(시지동)<NA>
11501151가-16-2013영업중흥부공인중개사사무소도회림대구광역시 수성구 동원로 100 상가521동109호(만촌동,메트로팔레스5단지)053-746-8114
1151115227260-2016-00154영업중흥진부동산중개주식회사주경인대구광역시 수성구 상록로 34 1층 (범어동)053-756-8289
1152115327260-2018-00211영업중희망골드부동산중개김희숙대구광역시 수성구 희망로 91 1층(중동)<NA>
1153115427260-2018-00150영업중희망공인중개사사무소추장우대구광역시 수성구 희망로 193 (황금동)053-764-2004
1154115527260-2018-00032영업중힐스테이트범어도건공인중개사사무소이영민대구광역시 수성구 범어로18길 17 (범어동)053-742-9788
1155115627260-2020-00159영업중힐스테이트범어솔공인중개사사무소김효정대구광역시 수성구 범어로18길 19<NA>
1156115727260-2020-00111영업중힐스테이트복덕방공인중개사사무소이기한대구광역시 수성구 청수로 256-3 1층(황금동)053-472-0726
1157115827260-2018-00008영업중힐스테이트황금센트럴공인중개사사무소윤영춘대구광역시 수성구 청솔로6길 17 (황금동)053-753-9070
1158115927260-2018-00130영업중힐탑공인중개사사무소김말숙대구광역시 수성구 청수로 274 , C동 102호 (황금동)<NA>