Overview

Dataset statistics

Number of variables4
Number of observations1021
Missing cells124
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.0 KiB
Average record size in memory32.1 B

Variable types

Text3
DateTime1

Dataset

Description인천광역시 부평구 부동산중개업소 현황 (중개사무소 상호, 주소, 대표자 성명)ex) 행복공인중개사사무소,김길자,대표,032-508-2455,,,,,,인천광역시 부평구 경인로 959(부평동),2021-09-28
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/15007029/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사무소전화번호 has 124 (12.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:34:11.876614
Analysis finished2023-12-12 19:34:12.473413
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사무소명
Text

Distinct791
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-13T04:34:12.619238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length11.688541
Min length9

Characters and Unicode

Total characters11934
Distinct characters380
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

Unique668 ?
Unique (%)65.4%

Sample

1st row행복공인중개사사무소
2nd row정순례공인중개사사무소
3rd row공인부동산중개인사무소
4th row엄마부동산중개인사무소
5th row대우부동산중개사무소
ValueCountFrequency (%)
삼성공인중개사사무소 15
 
1.4%
제일공인중개사사무소 9
 
0.9%
현대공인중개사사무소 8
 
0.8%
하나공인중개사사무소 7
 
0.7%
럭키공인중개사사무소 6
 
0.6%
탑공인중개사사무소 6
 
0.6%
행운공인중개사사무소 6
 
0.6%
대박공인중개사사무소 6
 
0.6%
부동산랜드공인중개사사무소 5
 
0.5%
공인중개사사무소 5
 
0.5%
Other values (788) 962
92.9%
2023-12-13T04:34:13.017886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2029
17.0%
공 1031
 
8.6%
개 1031
 
8.6%
소 1028
 
8.6%
인 1027
 
8.6%
중 1026
 
8.6%
무 1017
 
8.5%
동 332
 
2.8%
부 321
 
2.7%
산 297
 
2.5%
Other values (370) 2795
23.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11612
97.3%
Uppercase Letter 125
 
1.0%
Decimal Number 80
 
0.7%
Open Punctuation 42
 
0.4%
Close Punctuation 42
 
0.4%
Lowercase Letter 16
 
0.1%
Space Separator 14
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2029
17.5%
공 1031
8.9%
개 1031
8.9%
소 1028
8.9%
인 1027
8.8%
중 1026
8.8%
무 1017
8.8%
동 332
 
2.9%
부 321
 
2.8%
산 297
 
2.6%
Other values (326) 2473
21.3%
Uppercase Letter
ValueCountFrequency (%)
K 21
16.8%
S 12
 
9.6%
H 9
 
7.2%
O 9
 
7.2%
E 7
 
5.6%
R 6
 
4.8%
T 6
 
4.8%
A 6
 
4.8%
I 6
 
4.8%
N 6
 
4.8%
Other values (14) 37
29.6%
Decimal Number
ValueCountFrequency (%)
1 46
57.5%
4 15
 
18.8%
2 8
 
10.0%
5 4
 
5.0%
3 3
 
3.8%
9 2
 
2.5%
6 1
 
1.2%
7 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
50.0%
w 2
 
12.5%
o 2
 
12.5%
u 1
 
6.2%
h 1
 
6.2%
s 1
 
6.2%
l 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11611
97.3%
Common 181
 
1.5%
Latin 141
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2029
17.5%
공 1031
8.9%
개 1031
8.9%
소 1028
8.9%
인 1027
8.8%
중 1026
8.8%
무 1017
8.8%
동 332
 
2.9%
부 321
 
2.8%
산 297
 
2.6%
Other values (325) 2472
21.3%
Latin
ValueCountFrequency (%)
K 21
14.9%
S 12
 
8.5%
H 9
 
6.4%
O 9
 
6.4%
e 8
 
5.7%
E 7
 
5.0%
R 6
 
4.3%
T 6
 
4.3%
A 6
 
4.3%
I 6
 
4.3%
Other values (21) 51
36.2%
Common
ValueCountFrequency (%)
1 46
25.4%
( 42
23.2%
) 42
23.2%
4 15
 
8.3%
14
 
7.7%
2 8
 
4.4%
5 4
 
2.2%
3 3
 
1.7%
9 2
 
1.1%
- 2
 
1.1%
Other values (3) 3
 
1.7%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11611
97.3%
ASCII 322
 
2.7%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2029
17.5%
공 1031
8.9%
개 1031
8.9%
소 1028
8.9%
인 1027
8.8%
중 1026
8.8%
무 1017
8.8%
동 332
 
2.9%
부 321
 
2.8%
산 297
 
2.6%
Other values (325) 2472
21.3%
ASCII
ValueCountFrequency (%)
1 46
14.3%
( 42
13.0%
) 42
13.0%
K 21
 
6.5%
4 15
 
4.7%
14
 
4.3%
S 12
 
3.7%
H 9
 
2.8%
O 9
 
2.8%
e 8
 
2.5%
Other values (34) 104
32.3%
CJK
ValueCountFrequency (%)
美 1
100.0%

사무소전화번호
Text

MISSING 

Distinct874
Distinct (%)97.4%
Missing124
Missing (%)12.1%
Memory size8.1 KiB
2023-12-13T04:34:13.271469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.986622
Min length9

Characters and Unicode

Total characters10752
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique851 ?
Unique (%)94.9%

Sample

1st row032-508-2455
2nd row032-438-3388
3rd row032-528-8949
4th row032-523-4445
5th row032-524-1998
ValueCountFrequency (%)
032-516-4300 2
 
0.2%
032-505-2400 2
 
0.2%
032-529-1688 2
 
0.2%
032-428-5544 2
 
0.2%
032-361-6060 2
 
0.2%
032-505-0010 2
 
0.2%
032-362-5200 2
 
0.2%
032-504-5007 2
 
0.2%
032-513-7717 2
 
0.2%
032-515-5000 2
 
0.2%
Other values (864) 877
97.8%
2023-12-13T04:34:13.630604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2068
19.2%
- 1788
16.6%
2 1513
14.1%
3 1413
13.1%
5 1118
10.4%
1 681
 
6.3%
4 529
 
4.9%
8 470
 
4.4%
9 431
 
4.0%
7 396
 
3.7%
Other values (2) 345
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8963
83.4%
Dash Punctuation 1788
 
16.6%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2068
23.1%
2 1513
16.9%
3 1413
15.8%
5 1118
12.5%
1 681
 
7.6%
4 529
 
5.9%
8 470
 
5.2%
9 431
 
4.8%
7 396
 
4.4%
6 344
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 1788
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2068
19.2%
- 1788
16.6%
2 1513
14.1%
3 1413
13.1%
5 1118
10.4%
1 681
 
6.3%
4 529
 
4.9%
8 470
 
4.4%
9 431
 
4.0%
7 396
 
3.7%
Other values (2) 345
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2068
19.2%
- 1788
16.6%
2 1513
14.1%
3 1413
13.1%
5 1118
10.4%
1 681
 
6.3%
4 529
 
4.9%
8 470
 
4.4%
9 431
 
4.0%
7 396
 
3.7%
Other values (2) 345
 
3.2%

사무소주소
Text

Distinct999
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-13T04:34:13.923092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length31.387855
Min length17

Characters and Unicode

Total characters32047
Distinct characters305
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique977 ?
Unique (%)95.7%

Sample

1st row인천광역시 부평구 경인로 959 (부평동)
2nd row인천광역시 부평구 경인로667번길 18 (십정동)
3rd row인천광역시 부평구 갈월서로 27 7호(갈산동, 동남아파트 상가)
4th row인천광역시 부평구 경원대로1367번길 33 1층 (부평동)
5th row인천광역시 부평구 안남로 443 2층 (청천동)
ValueCountFrequency (%)
인천광역시 1021
 
17.4%
부평구 1021
 
17.4%
157
 
2.7%
부평동 99
 
1.7%
상가동 79
 
1.3%
1층 72
 
1.2%
십정동 60
 
1.0%
1층(부평동 54
 
0.9%
부평대로 44
 
0.7%
101호(부평동 38
 
0.6%
Other values (1254) 3233
55.0%
2023-12-13T04:34:14.373129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4905
 
15.3%
부 1836
 
5.7%
1 1751
 
5.5%
평 1556
 
4.9%
동 1265
 
3.9%
천 1172
 
3.7%
인 1085
 
3.4%
역 1048
 
3.3%
시 1042
 
3.3%
광 1038
 
3.2%
Other values (295) 15349
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18929
59.1%
Decimal Number 5507
 
17.2%
Space Separator 4905
 
15.3%
Open Punctuation 916
 
2.9%
Close Punctuation 914
 
2.9%
Other Punctuation 622
 
1.9%
Dash Punctuation 136
 
0.4%
Uppercase Letter 109
 
0.3%
Lowercase Letter 5
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1836
 
9.7%
평 1556
 
8.2%
동 1265
 
6.7%
천 1172
 
6.2%
인 1085
 
5.7%
역 1048
 
5.5%
시 1042
 
5.5%
광 1038
 
5.5%
로 1038
 
5.5%
구 1026
 
5.4%
Other values (249) 6823
36.0%
Uppercase Letter
ValueCountFrequency (%)
B 35
32.1%
A 28
25.7%
C 6
 
5.5%
I 5
 
4.6%
D 5
 
4.6%
K 3
 
2.8%
G 3
 
2.8%
S 3
 
2.8%
L 2
 
1.8%
E 2
 
1.8%
Other values (11) 17
15.6%
Decimal Number
ValueCountFrequency (%)
1 1751
31.8%
0 770
14.0%
2 650
 
11.8%
3 514
 
9.3%
4 438
 
8.0%
6 340
 
6.2%
5 334
 
6.1%
7 258
 
4.7%
9 236
 
4.3%
8 216
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 600
96.5%
@ 18
 
2.9%
/ 2
 
0.3%
& 1
 
0.2%
. 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 915
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 913
99.9%
] 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
b 4
80.0%
e 1
 
20.0%
Space Separator
ValueCountFrequency (%)
4905
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18929
59.1%
Common 13003
40.6%
Latin 115
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1836
 
9.7%
평 1556
 
8.2%
동 1265
 
6.7%
천 1172
 
6.2%
인 1085
 
5.7%
역 1048
 
5.5%
시 1042
 
5.5%
광 1038
 
5.5%
로 1038
 
5.5%
구 1026
 
5.4%
Other values (249) 6823
36.0%
Latin
ValueCountFrequency (%)
B 35
30.4%
A 28
24.3%
C 6
 
5.2%
I 5
 
4.3%
D 5
 
4.3%
b 4
 
3.5%
K 3
 
2.6%
G 3
 
2.6%
S 3
 
2.6%
L 2
 
1.7%
Other values (14) 21
18.3%
Common
ValueCountFrequency (%)
4905
37.7%
1 1751
 
13.5%
( 915
 
7.0%
) 913
 
7.0%
0 770
 
5.9%
2 650
 
5.0%
, 600
 
4.6%
3 514
 
4.0%
4 438
 
3.4%
6 340
 
2.6%
Other values (12) 1207
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18929
59.1%
ASCII 13117
40.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4905
37.4%
1 1751
 
13.3%
( 915
 
7.0%
) 913
 
7.0%
0 770
 
5.9%
2 650
 
5.0%
, 600
 
4.6%
3 514
 
3.9%
4 438
 
3.3%
6 340
 
2.6%
Other values (35) 1321
 
10.1%
Hangul
ValueCountFrequency (%)
부 1836
 
9.7%
평 1556
 
8.2%
동 1265
 
6.7%
천 1172
 
6.2%
인 1085
 
5.7%
역 1048
 
5.5%
시 1042
 
5.5%
광 1038
 
5.5%
로 1038
 
5.5%
구 1026
 
5.4%
Other values (249) 6823
36.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum2023-09-26 00:00:00
Maximum2023-09-26 00:00:00
2023-12-13T04:34:14.479336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:14.560426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T04:34:12.333439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:34:12.429534image/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

사무소명사무소전화번호사무소주소데이터기준일자
0행복공인중개사사무소032-508-2455인천광역시 부평구 경인로 959 (부평동)2023-09-26
1정순례공인중개사사무소032-438-3388인천광역시 부평구 경인로667번길 18 (십정동)2023-09-26
2공인부동산중개인사무소032-528-8949인천광역시 부평구 갈월서로 27 7호(갈산동, 동남아파트 상가)2023-09-26
3엄마부동산중개인사무소032-523-4445인천광역시 부평구 경원대로1367번길 33 1층 (부평동)2023-09-26
4대우부동산중개사무소032-524-1998인천광역시 부평구 안남로 443 2층 (청천동)2023-09-26
5부동산씨티중개사무소032-522-4442인천광역시 부평구 경인로 858 105호(부평동, 신성미소지움@상가동)2023-09-26
6부평코오롱하늘채공인중개사사무소(합동)032-525-5000인천광역시 부평구 동수천로 117 상가동 102호 (부개동,코오롱하늘채)2023-09-26
7월드공인중개사사무소(합동)032-514-5255인천광역시 부평구 부평대로 102 , 105호(부평동, 대우마이빌)2023-09-26
8대명부동산중개사무소032-515-2000인천광역시 부평구 부흥로366번길 5 (부평동)2023-09-26
9은혜부동산중개사무소032-518-5123인천광역시 부평구 주부토로 279-32023-09-26
사무소명사무소전화번호사무소주소데이터기준일자
1011우미린좋은집공인중개사사무소<NA>인천광역시 부평구 부흥북로 74 , 101호 (부평동, 태광빌라)2023-09-26
1012HORIZON(수평)공인중개사사무소<NA>인천광역시 부평구 부평대로 32 , 3층 (부평동)2023-09-26
1013율공인중개사사무소032-503-7001인천광역시 부평구 대정로 50 , 109호(부평동)2023-09-26
1014구해줘공인중개사사무소032-504-0077인천광역시 부평구 세월천로 77 , 102호(산곡동)2023-09-26
1015제일공인중개사사무소032-721-8001인천광역시 부평구 충선로203번길 16 , 501호내 512호실(삼산동)2023-09-26
1016대우공인중개사사무소<NA>인천광역시 부평구 세월천로 16 , 상가1동 109호 (청천동, 청천푸르지오아파트)2023-09-26
1017평리단길슈공인중개사사무소032-612-5780인천광역시 부평구 부평대로36번길 7 (부평동)2023-09-26
1018별공인중개사사무소<NA>인천광역시 부평구 마장로 49 , B06호, B07호, B12호, B13호(십정동, 인천부평대주파크빌)2023-09-26
1019갈산주공공인중개사사무소032-503-2333인천광역시 부평구 굴포로 81-1 , 단지내분양상가동 110호 (갈산동)2023-09-26
1020나이스공인중개사사무소032-521-4600인천광역시 부평구 경인로 769 ,3층4층(십정동)2023-09-26