Overview

Dataset statistics

Number of variables7
Number of observations4201
Missing cells1123
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory229.9 KiB
Average record size in memory56.0 B

Variable types

Text5
Categorical2

Dataset

Description대구광역시_부동산 중개업_20161017
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069124&dataSetDetailId=150691241cdace9a7c2d6&provdMethod=FILE

Alerts

상태구분 is highly imbalanced (56.5%)Imbalance
대표자 has 694 (16.5%) missing valuesMissing
전화번호 has 429 (10.2%) missing valuesMissing

Reproduction

Analysis started2024-04-19 05:16:02.826615
Analysis finished2024-04-19 05:16:03.818549
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

Distinct4198
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
2024-04-19T14:16:03.953624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length11.281124
Min length6

Characters and Unicode

Total characters47392
Distinct characters17
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

Unique4195 ?
Unique (%)99.9%

Sample

1st row나-11-0014
2nd row나-11-0032
3rd row나-11-0037
4th row나-11-0050
5th row나-11-0058
ValueCountFrequency (%)
가-12-2486 2
 
< 0.1%
27230-2015-00165 2
 
< 0.1%
가-13-2135 2
 
< 0.1%
27710-2016-00056 1
 
< 0.1%
27290-2016-00158 1
 
< 0.1%
27290-2016-00155 1
 
< 0.1%
27290-2016-00095 1
 
< 0.1%
27290-2016-00152 1
 
< 0.1%
나-11-0014 1
 
< 0.1%
가-17-4760 1
 
< 0.1%
Other values (4189) 4189
99.7%
2024-04-19T14:16:04.274403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8526
18.0%
0 7724
16.3%
1 7370
15.6%
2 6004
12.7%
7 3291
 
6.9%
가 2667
 
5.6%
6 2492
 
5.3%
5 2450
 
5.2%
3 1929
 
4.1%
4 1892
 
4.0%
Other values (7) 3047
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35860
75.7%
Dash Punctuation 8526
 
18.0%
Other Letter 3005
 
6.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7724
21.5%
1 7370
20.6%
2 6004
16.7%
7 3291
9.2%
6 2492
 
6.9%
5 2450
 
6.8%
3 1929
 
5.4%
4 1892
 
5.3%
8 1364
 
3.8%
9 1344
 
3.7%
Other Letter
ValueCountFrequency (%)
가 2667
88.8%
남 127
 
4.2%
구 127
 
4.2%
나 83
 
2.8%
호 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 8526
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44387
93.7%
Hangul 3005
 
6.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8526
19.2%
0 7724
17.4%
1 7370
16.6%
2 6004
13.5%
7 3291
 
7.4%
6 2492
 
5.6%
5 2450
 
5.5%
3 1929
 
4.3%
4 1892
 
4.3%
8 1364
 
3.1%
Other values (2) 1345
 
3.0%
Hangul
ValueCountFrequency (%)
가 2667
88.8%
남 127
 
4.2%
구 127
 
4.2%
나 83
 
2.8%
호 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44387
93.7%
Hangul 3005
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8526
19.2%
0 7724
17.4%
1 7370
16.6%
2 6004
13.5%
7 3291
 
7.4%
6 2492
 
5.6%
5 2450
 
5.5%
3 1929
 
4.3%
4 1892
 
4.3%
8 1364
 
3.1%
Other values (2) 1345
 
3.0%
Hangul
ValueCountFrequency (%)
가 2667
88.8%
남 127
 
4.2%
구 127
 
4.2%
나 83
 
2.8%
호 1
 
< 0.1%

상호
Text

Distinct3247
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
2024-04-19T14:16:04.493628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length11.058557
Min length2

Characters and Unicode

Total characters46457
Distinct characters553
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2744 ?
Unique (%)65.3%

Sample

1st row대구부동산중개인
2nd row신광부동산중개사무소
3rd row한마음부동산중개사무소
4th row뉴대구부동산중개사무소
5th row동서부동산중개사무소
ValueCountFrequency (%)
사무소 161
 
3.5%
공인중개사 120
 
2.6%
부동산 31
 
0.7%
부동산중개 26
 
0.6%
중개사무소 14
 
0.3%
중개 14
 
0.3%
삼성공인중개사사무소 11
 
0.2%
공인중개사사무소 10
 
0.2%
제일공인중개사사무소 9
 
0.2%
행운공인중개사사무소 8
 
0.2%
Other values (3260) 4216
91.3%
2024-04-19T14:16:04.835572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 7707
16.6%
중 4224
 
9.1%
개 4213
 
9.1%
소 3947
 
8.5%
무 3927
 
8.5%
인 3832
 
8.2%
공 3750
 
8.1%
동 925
 
2.0%
산 838
 
1.8%
부 802
 
1.7%
Other values (543) 12292
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45280
97.5%
Space Separator 419
 
0.9%
Uppercase Letter 296
 
0.6%
Decimal Number 171
 
0.4%
Lowercase Letter 128
 
0.3%
Close Punctuation 67
 
0.1%
Open Punctuation 66
 
0.1%
Dash Punctuation 16
 
< 0.1%
Other Punctuation 12
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 7707
17.0%
중 4224
 
9.3%
개 4213
 
9.3%
소 3947
 
8.7%
무 3927
 
8.7%
인 3832
 
8.5%
공 3750
 
8.3%
동 925
 
2.0%
산 838
 
1.9%
부 802
 
1.8%
Other values (481) 11115
24.5%
Uppercase Letter
ValueCountFrequency (%)
K 55
18.6%
A 42
14.2%
L 27
9.1%
S 25
8.4%
B 22
 
7.4%
O 20
 
6.8%
T 14
 
4.7%
N 14
 
4.7%
M 9
 
3.0%
R 9
 
3.0%
Other values (14) 59
19.9%
Lowercase Letter
ValueCountFrequency (%)
e 76
59.4%
w 12
 
9.4%
h 10
 
7.8%
n 6
 
4.7%
t 4
 
3.1%
s 3
 
2.3%
a 3
 
2.3%
k 3
 
2.3%
i 2
 
1.6%
r 2
 
1.6%
Other values (6) 7
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 63
36.8%
3 25
 
14.6%
2 23
 
13.5%
4 18
 
10.5%
6 11
 
6.4%
5 11
 
6.4%
8 7
 
4.1%
7 6
 
3.5%
9 5
 
2.9%
0 2
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 6
50.0%
& 2
 
16.7%
· 1
 
8.3%
? 1
 
8.3%
# 1
 
8.3%
, 1
 
8.3%
Space Separator
ValueCountFrequency (%)
419
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45273
97.5%
Common 752
 
1.6%
Latin 424
 
0.9%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 7707
17.0%
중 4224
 
9.3%
개 4213
 
9.3%
소 3947
 
8.7%
무 3927
 
8.7%
인 3832
 
8.5%
공 3750
 
8.3%
동 925
 
2.0%
산 838
 
1.9%
부 802
 
1.8%
Other values (475) 11108
24.5%
Latin
ValueCountFrequency (%)
e 76
17.9%
K 55
13.0%
A 42
 
9.9%
L 27
 
6.4%
S 25
 
5.9%
B 22
 
5.2%
O 20
 
4.7%
T 14
 
3.3%
N 14
 
3.3%
w 12
 
2.8%
Other values (30) 117
27.6%
Common
ValueCountFrequency (%)
419
55.7%
) 67
 
8.9%
( 66
 
8.8%
1 63
 
8.4%
3 25
 
3.3%
2 23
 
3.1%
4 18
 
2.4%
- 16
 
2.1%
6 11
 
1.5%
5 11
 
1.5%
Other values (11) 33
 
4.4%
Han
ValueCountFrequency (%)
地 2
25.0%
元 1
12.5%
家 1
12.5%
山 1
12.5%
大 1
12.5%
源 1
12.5%
天 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45272
97.4%
ASCII 1175
 
2.5%
CJK 8
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 7707
17.0%
중 4224
 
9.3%
개 4213
 
9.3%
소 3947
 
8.7%
무 3927
 
8.7%
인 3832
 
8.5%
공 3750
 
8.3%
동 925
 
2.0%
산 838
 
1.9%
부 802
 
1.8%
Other values (474) 11107
24.5%
ASCII
ValueCountFrequency (%)
419
35.7%
e 76
 
6.5%
) 67
 
5.7%
( 66
 
5.6%
1 63
 
5.4%
K 55
 
4.7%
A 42
 
3.6%
L 27
 
2.3%
3 25
 
2.1%
S 25
 
2.1%
Other values (50) 310
26.4%
CJK
ValueCountFrequency (%)
地 2
25.0%
元 1
12.5%
家 1
12.5%
山 1
12.5%
大 1
12.5%
源 1
12.5%
天 1
12.5%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

소재지
Text

Distinct4016
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
2024-04-19T14:16:05.185112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length28.239229
Min length5

Characters and Unicode

Total characters118633
Distinct characters405
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

Unique3845 ?
Unique (%)91.5%

Sample

1st row대구광역시 중구 국채보상로149길 41(동인동3가)
2nd row대구광역시 중구 명륜로23길 60(봉산동)
3rd row대구광역시 중구 동덕로 123-7, 1층(삼덕동2가)
4th row대구광역시 중구 동성로2길 49-12(공평동)
5th row대구광역시 중구 동성로5길 20, 지하층(삼덕동1가)
ValueCountFrequency (%)
대구광역시 3986
 
19.4%
달서구 920
 
4.5%
수성구 809
 
3.9%
북구 694
 
3.4%
동구 597
 
2.9%
달성군 516
 
2.5%
서구 268
 
1.3%
중구 187
 
0.9%
달구벌대로 154
 
0.7%
다사읍 128
 
0.6%
Other values (5168) 12324
59.9%
2024-04-19T14:16:05.697979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16384
 
13.8%
구 8123
 
6.8%
1 5661
 
4.8%
동 5418
 
4.6%
대 5073
 
4.3%
시 4180
 
3.5%
로 4162
 
3.5%
역 4081
 
3.4%
광 4009
 
3.4%
) 3248
 
2.7%
Other values (395) 58294
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71449
60.2%
Decimal Number 20619
 
17.4%
Space Separator 16384
 
13.8%
Close Punctuation 3250
 
2.7%
Open Punctuation 3249
 
2.7%
Other Punctuation 2915
 
2.5%
Dash Punctuation 572
 
0.5%
Uppercase Letter 161
 
0.1%
Lowercase Letter 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 8123
 
11.4%
동 5418
 
7.6%
대 5073
 
7.1%
시 4180
 
5.9%
로 4162
 
5.8%
역 4081
 
5.7%
광 4009
 
5.6%
성 2128
 
3.0%
달 1807
 
2.5%
호 1703
 
2.4%
Other values (351) 30765
43.1%
Uppercase Letter
ValueCountFrequency (%)
B 40
24.8%
A 36
22.4%
K 20
12.4%
S 17
10.6%
C 10
 
6.2%
H 6
 
3.7%
D 6
 
3.7%
L 5
 
3.1%
M 4
 
2.5%
T 4
 
2.5%
Other values (6) 13
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 5661
27.5%
2 2744
13.3%
0 2708
13.1%
3 2078
 
10.1%
5 1571
 
7.6%
4 1571
 
7.6%
6 1315
 
6.4%
7 1172
 
5.7%
9 914
 
4.4%
8 885
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 26
76.5%
c 2
 
5.9%
l 2
 
5.9%
k 1
 
2.9%
w 1
 
2.9%
h 1
 
2.9%
t 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 2887
99.0%
. 12
 
0.4%
/ 12
 
0.4%
? 3
 
0.1%
# 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3248
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3247
99.9%
[ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
16384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 572
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71449
60.2%
Common 46989
39.6%
Latin 195
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 8123
 
11.4%
동 5418
 
7.6%
대 5073
 
7.1%
시 4180
 
5.9%
로 4162
 
5.8%
역 4081
 
5.7%
광 4009
 
5.6%
성 2128
 
3.0%
달 1807
 
2.5%
호 1703
 
2.4%
Other values (351) 30765
43.1%
Latin
ValueCountFrequency (%)
B 40
20.5%
A 36
18.5%
e 26
13.3%
K 20
10.3%
S 17
8.7%
C 10
 
5.1%
H 6
 
3.1%
D 6
 
3.1%
L 5
 
2.6%
M 4
 
2.1%
Other values (13) 25
12.8%
Common
ValueCountFrequency (%)
16384
34.9%
1 5661
 
12.0%
) 3248
 
6.9%
( 3247
 
6.9%
, 2887
 
6.1%
2 2744
 
5.8%
0 2708
 
5.8%
3 2078
 
4.4%
5 1571
 
3.3%
4 1571
 
3.3%
Other values (11) 4890
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71449
60.2%
ASCII 47184
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16384
34.7%
1 5661
 
12.0%
) 3248
 
6.9%
( 3247
 
6.9%
, 2887
 
6.1%
2 2744
 
5.8%
0 2708
 
5.7%
3 2078
 
4.4%
5 1571
 
3.3%
4 1571
 
3.3%
Other values (34) 5085
 
10.8%
Hangul
ValueCountFrequency (%)
구 8123
 
11.4%
동 5418
 
7.6%
대 5073
 
7.1%
시 4180
 
5.9%
로 4162
 
5.8%
역 4081
 
5.7%
광 4009
 
5.6%
성 2128
 
3.0%
달 1807
 
2.5%
호 1703
 
2.4%
Other values (351) 30765
43.1%

대표자
Text

MISSING 

Distinct3169
Distinct (%)90.4%
Missing694
Missing (%)16.5%
Memory size32.9 KiB
2024-04-19T14:16:06.232650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.998004
Min length2

Characters and Unicode

Total characters10514
Distinct characters249
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2927 ?
Unique (%)83.5%

Sample

1st row류위경
2nd row이정세
3rd row곽재용
4th row조흥태
5th row서수웅
ValueCountFrequency (%)
김명희 8
 
0.2%
김영숙 6
 
0.2%
김은희 6
 
0.2%
박정희 5
 
0.1%
김영희 5
 
0.1%
김경옥 5
 
0.1%
이은주 5
 
0.1%
김동현 5
 
0.1%
김미경 5
 
0.1%
김경화 5
 
0.1%
Other values (3162) 3455
98.4%
2024-04-19T14:16:06.683156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 753
 
7.2%
이 531
 
5.1%
정 428
 
4.1%
영 323
 
3.1%
박 313
 
3.0%
희 304
 
2.9%
경 231
 
2.2%
숙 215
 
2.0%
성 180
 
1.7%
수 177
 
1.7%
Other values (239) 7059
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10511
> 99.9%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 753
 
7.2%
이 531
 
5.1%
정 428
 
4.1%
영 323
 
3.1%
박 313
 
3.0%
희 304
 
2.9%
경 231
 
2.2%
숙 215
 
2.0%
성 180
 
1.7%
수 177
 
1.7%
Other values (238) 7056
67.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10511
> 99.9%
Common 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 753
 
7.2%
이 531
 
5.1%
정 428
 
4.1%
영 323
 
3.1%
박 313
 
3.0%
희 304
 
2.9%
경 231
 
2.2%
숙 215
 
2.0%
성 180
 
1.7%
수 177
 
1.7%
Other values (238) 7056
67.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10511
> 99.9%
ASCII 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 753
 
7.2%
이 531
 
5.1%
정 428
 
4.1%
영 323
 
3.1%
박 313
 
3.0%
희 304
 
2.9%
경 231
 
2.2%
숙 215
 
2.0%
성 180
 
1.7%
수 177
 
1.7%
Other values (238) 7056
67.1%
ASCII
ValueCountFrequency (%)
3
100.0%

전화번호
Text

MISSING 

Distinct3663
Distinct (%)97.1%
Missing429
Missing (%)10.2%
Memory size32.9 KiB
2024-04-19T14:16:06.977715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length12
Mean length10.379109
Min length1

Characters and Unicode

Total characters39150
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3591 ?
Unique (%)95.2%

Sample

1st row425-5202
2nd row422-3235
3rd row425-6636
4th row425-0013
5th row425-3412
ValueCountFrequency (%)
053-000-0000 36
 
1.0%
053-322-1300 4
 
0.1%
638-1600 3
 
0.1%
053-611-4455 2
 
0.1%
637-5100 2
 
0.1%
639-3000 2
 
0.1%
053-761-0088 2
 
0.1%
961-6007 2
 
0.1%
986-4989 2
 
0.1%
053-311-8585 2
 
0.1%
Other values (3654) 3716
98.5%
2024-04-19T14:16:07.398915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6309
16.1%
- 6014
15.4%
5 5413
13.8%
3 4737
12.1%
6 2756
7.0%
4 2418
 
6.2%
9 2376
 
6.1%
2 2321
 
5.9%
8 2293
 
5.9%
7 2288
 
5.8%
Other values (4) 2225
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33133
84.6%
Dash Punctuation 6014
 
15.4%
Other Punctuation 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6309
19.0%
5 5413
16.3%
3 4737
14.3%
6 2756
8.3%
4 2418
 
7.3%
9 2376
 
7.2%
2 2321
 
7.0%
8 2293
 
6.9%
7 2288
 
6.9%
1 2222
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 6014
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6309
16.1%
- 6014
15.4%
5 5413
13.8%
3 4737
12.1%
6 2756
7.0%
4 2418
 
6.2%
9 2376
 
6.1%
2 2321
 
5.9%
8 2293
 
5.9%
7 2288
 
5.8%
Other values (4) 2225
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6309
16.1%
- 6014
15.4%
5 5413
13.8%
3 4737
12.1%
6 2756
7.0%
4 2418
 
6.2%
9 2376
 
6.1%
2 2321
 
5.9%
8 2293
 
5.9%
7 2288
 
5.8%
Other values (4) 2225
 
5.7%

상태구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
영업중
2200 
<NA>
1997 
휴업
 
2
업무정지
 
1
휴업연장
 
1

Length

Max length4
Median length3
Mean length3.475363
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 2200
52.4%
<NA> 1997
47.5%
휴업 2
 
< 0.1%
업무정지 1
 
< 0.1%
휴업연장 1
 
< 0.1%

Length

2024-04-19T14:16:07.545262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:16:07.652815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 2200
52.4%
na 1997
47.5%
휴업 2
 
< 0.1%
업무정지 1
 
< 0.1%
휴업연장 1
 
< 0.1%

데이터기준일자
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
2016-10-14
1132 
2016-05-18
809 
2016-06-02
694 
2016-05-01
597 
2016-05-04
514 
Other values (2)
455 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-06-20
2nd row2016-06-20
3rd row2016-06-20
4th row2016-06-20
5th row2016-06-20

Common Values

ValueCountFrequency (%)
2016-10-14 1132
26.9%
2016-05-18 809
19.3%
2016-06-02 694
16.5%
2016-05-01 597
14.2%
2016-05-04 514
12.2%
2016-05-31 268
 
6.4%
2016-06-20 187
 
4.5%

Length

2024-04-19T14:16:07.754904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:16:07.868746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-10-14 1132
26.9%
2016-05-18 809
19.3%
2016-06-02 694
16.5%
2016-05-01 597
14.2%
2016-05-04 514
12.2%
2016-05-31 268
 
6.4%
2016-06-20 187
 
4.5%

Correlations

2024-04-19T14:16:07.973007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태구분데이터기준일자
상태구분1.0000.000
데이터기준일자0.0001.000
2024-04-19T14:16:08.054004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태구분데이터기준일자
상태구분1.0000.000
데이터기준일자0.0001.000
2024-04-19T14:16:08.133875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태구분데이터기준일자
상태구분1.0000.000
데이터기준일자0.0001.000

Missing values

2024-04-19T14:16:03.555920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:16:03.662549image/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.
2024-04-19T14:16:03.764297image/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

등록번호상호소재지대표자전화번호상태구분데이터기준일자
0나-11-0014대구부동산중개인대구광역시 중구 국채보상로149길 41(동인동3가)류위경425-5202영업중2016-06-20
1나-11-0032신광부동산중개사무소대구광역시 중구 명륜로23길 60(봉산동)이정세422-3235영업중2016-06-20
2나-11-0037한마음부동산중개사무소대구광역시 중구 동덕로 123-7, 1층(삼덕동2가)곽재용425-6636영업중2016-06-20
3나-11-0050뉴대구부동산중개사무소대구광역시 중구 동성로2길 49-12(공평동)조흥태425-0013영업중2016-06-20
4나-11-0058동서부동산중개사무소대구광역시 중구 동성로5길 20, 지하층(삼덕동1가)서수웅425-3412영업중2016-06-20
5나-11-0067안동부동산중개사무소대구광역시 중구 대봉로43안길 13(대봉동)심원규425-7818영업중2016-06-20
6나-11-0146연합부동산중개대구광역시 중구 국채보상로 549(종로1가)김영조255-3388영업중2016-06-20
7나-11-0104안심부동산중개인대구광역시 중구 달구벌대로447길 72-4, 1층(삼덕동3가)최정후422-5878영업중2016-06-20
8나-11-108동화부동산중개사무소대구광역시 중구 교동1길 27(교동)심극환424-6794영업중2016-06-20
9나-11-0140모니카부동산중개인대구광역시 중구 중앙대로68길 10, 2층(남산동)최상호427-3372영업중2016-06-20
등록번호상호소재지대표자전화번호상태구분데이터기준일자
419127710-2016-00052화원IC공인중개사사무소대구광역시 달성군 화원읍 비슬로 2426하태인053-635-6988영업중2016-05-04
419227710-2016-00053대경공인중개사사무소대구광역시 달성군 구지면 과학마을로2길 6, 215동 4호(달성2차청아람아파트)방미옥053-614-2788영업중2016-05-04
419327710-2016-00054현풍화성공인중개사사무소대구광역시 달성군 유가면 테크노중앙대로6길 16-8,102호노은진053-621-4700영업중2016-05-04
419427710-2016-00055테크노하나공인중개사사무소대구광역시 달성군 유가면 테크노북로 164, 102호(하나리움퀸즈파크상가)김영상053-616-5300영업중2016-05-04
419527710-2016-00056진아리채공인중개사사무소대구광역시 달성군 유가면 테크노북로 164, 105호(하나리움퀸즈파크)조창현053-611-1700영업중2016-05-04
419627710-2016-00057e태양부동산공인중개사사무소대구광역시 달성군 다사읍 세천남로 18정명화053-588-3331영업중2016-05-04
419727710-2016-00058대가공인중개사사무소대구광역시 달성군 화원읍 비슬로 2453박영수053-636-4959영업중2016-05-04
419827710-2016-00059왕대박공인중개사사무소대구광역시 달성군 유가면 테크노상업로 98, 1층 104호(비슬타워)정성용053-614-2002영업중2016-05-04
419927710-2016-00060백마부동산중개사무소대구광역시 달성군 다사읍 세천북로 9, 106호(D스퀘어상가)조종래053-592-0100영업중2016-05-04
420027710-2016-00061거인공인중개사사무소대구광역시 달성군 유가면 테크노북로5길 5, 104호최지훈053-617-7071영업중2016-05-04