Overview

Dataset statistics

Number of variables4
Number of observations135
Missing cells21
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory33.0 B

Variable types

Text4

Dataset

Description함안군 부동산중개업소의 현황데이터. 사무소 주소, 중개업등록번호, 중개업소 전화번호, 중개사무소 상호에 대한 데이터
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074420

Alerts

사무소전화번호 has 21 (15.6%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:53:04.800120
Analysis finished2023-12-10 22:53:05.101317
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T07:53:05.256116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.518519
Min length11

Characters and Unicode

Total characters1825
Distinct characters12
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

Unique135 ?
Unique (%)100.0%

Sample

1st row가-4324-0012
2nd row가-4324-0318
3rd row가-4324-0024
4th row가-4324-0081
5th row가-4324-0085
ValueCountFrequency (%)
가-4324-0012 1
 
0.7%
48730-2019-00005 1
 
0.7%
48730-2018-00023 1
 
0.7%
48730-2018-00014 1
 
0.7%
48730-2018-00012 1
 
0.7%
48730-2018-00010 1
 
0.7%
48730-2018-00009 1
 
0.7%
48730-2018-00008 1
 
0.7%
48730-2018-00006 1
 
0.7%
48730-2018-00005 1
 
0.7%
Other values (125) 125
92.6%
2023-12-11T07:53:05.775894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 473
25.9%
- 270
14.8%
4 241
13.2%
2 209
11.5%
3 175
 
9.6%
1 105
 
5.8%
8 99
 
5.4%
7 96
 
5.3%
67
 
3.7%
5 34
 
1.9%
Other values (2) 56
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1488
81.5%
Dash Punctuation 270
 
14.8%
Other Letter 67
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 473
31.8%
4 241
16.2%
2 209
14.0%
3 175
 
11.8%
1 105
 
7.1%
8 99
 
6.7%
7 96
 
6.5%
5 34
 
2.3%
6 30
 
2.0%
9 26
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Other Letter
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1758
96.3%
Hangul 67
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 473
26.9%
- 270
15.4%
4 241
13.7%
2 209
11.9%
3 175
 
10.0%
1 105
 
6.0%
8 99
 
5.6%
7 96
 
5.5%
5 34
 
1.9%
6 30
 
1.7%
Hangul
ValueCountFrequency (%)
67
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1758
96.3%
Hangul 67
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 473
26.9%
- 270
15.4%
4 241
13.7%
2 209
11.9%
3 175
 
10.0%
1 105
 
6.0%
8 99
 
5.6%
7 96
 
5.5%
5 34
 
1.9%
6 30
 
1.7%
Hangul
ValueCountFrequency (%)
67
100.0%
Distinct134
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T07:53:06.007222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.437037
Min length7

Characters and Unicode

Total characters1409
Distinct characters161
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)98.5%

Sample

1st row삼성부동산중개
2nd row박순철제일부동산사무소
3rd row함안부동산중개
4th row럭키공인중개사사무소
5th row토탈부동산중개사사무소
ValueCountFrequency (%)
만평공인중개사사무소 2
 
1.5%
신만평공인중개사사무소 1
 
0.7%
매일공인중개사사무소 1
 
0.7%
하나부동산공인중개사사무소 1
 
0.7%
예곡공인중개사사무소 1
 
0.7%
일조공인중개사사무소 1
 
0.7%
소나무부동산공인중개사사무소 1
 
0.7%
k2공인중개사사무소 1
 
0.7%
코끼리공인중개사사무소 1
 
0.7%
김은주공인중개사사무소 1
 
0.7%
Other values (126) 126
92.0%
2023-12-11T07:53:06.417665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
17.9%
135
9.6%
135
9.6%
130
9.2%
130
9.2%
124
8.8%
123
8.7%
25
 
1.8%
25
 
1.8%
25
 
1.8%
Other values (151) 305
21.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1387
98.4%
Uppercase Letter 15
 
1.1%
Decimal Number 5
 
0.4%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
252
18.2%
135
9.7%
135
9.7%
130
9.4%
130
9.4%
124
8.9%
123
8.9%
25
 
1.8%
25
 
1.8%
25
 
1.8%
Other values (136) 283
20.4%
Uppercase Letter
ValueCountFrequency (%)
K 3
20.0%
B 2
13.3%
O 2
13.3%
W 1
 
6.7%
E 1
 
6.7%
N 1
 
6.7%
A 1
 
6.7%
S 1
 
6.7%
G 1
 
6.7%
J 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
4 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1387
98.4%
Latin 15
 
1.1%
Common 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
252
18.2%
135
9.7%
135
9.7%
130
9.4%
130
9.4%
124
8.9%
123
8.9%
25
 
1.8%
25
 
1.8%
25
 
1.8%
Other values (136) 283
20.4%
Latin
ValueCountFrequency (%)
K 3
20.0%
B 2
13.3%
O 2
13.3%
W 1
 
6.7%
E 1
 
6.7%
N 1
 
6.7%
A 1
 
6.7%
S 1
 
6.7%
G 1
 
6.7%
J 1
 
6.7%
Common
ValueCountFrequency (%)
1 3
42.9%
2
28.6%
2 1
 
14.3%
4 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1387
98.4%
ASCII 22
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
252
18.2%
135
9.7%
135
9.7%
130
9.4%
130
9.4%
124
8.9%
123
8.9%
25
 
1.8%
25
 
1.8%
25
 
1.8%
Other values (136) 283
20.4%
ASCII
ValueCountFrequency (%)
1 3
13.6%
K 3
13.6%
B 2
 
9.1%
2
 
9.1%
O 2
 
9.1%
2 1
 
4.5%
W 1
 
4.5%
E 1
 
4.5%
N 1
 
4.5%
A 1
 
4.5%
Other values (5) 5
22.7%

사무소전화번호
Text

MISSING 

Distinct114
Distinct (%)100.0%
Missing21
Missing (%)15.6%
Memory size1.2 KiB
2023-12-11T07:53:06.743707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.973684
Min length8

Characters and Unicode

Total characters1365
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

Unique114 ?
Unique (%)100.0%

Sample

1st row055-585-5126
2nd row055-583-9923
3rd row055-582-7676
4th row055-585-2577
5th row055-582-7993
ValueCountFrequency (%)
055-587-2005 1
 
0.9%
055-587-7731 1
 
0.9%
055-586-0042 1
 
0.9%
055-584-0118 1
 
0.9%
055-585-3639 1
 
0.9%
055-587-1100 1
 
0.9%
055-587-4959 1
 
0.9%
055-583-7766 1
 
0.9%
055-585-6100 1
 
0.9%
055-583-8999 1
 
0.9%
Other values (104) 104
91.2%
2023-12-11T07:53:07.227819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 414
30.3%
- 227
16.6%
0 178
13.0%
8 165
 
12.1%
7 67
 
4.9%
9 60
 
4.4%
4 59
 
4.3%
6 53
 
3.9%
2 50
 
3.7%
3 48
 
3.5%
Other values (2) 44
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1137
83.3%
Dash Punctuation 227
 
16.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 414
36.4%
0 178
15.7%
8 165
 
14.5%
7 67
 
5.9%
9 60
 
5.3%
4 59
 
5.2%
6 53
 
4.7%
2 50
 
4.4%
3 48
 
4.2%
1 43
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 227
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 414
30.3%
- 227
16.6%
0 178
13.0%
8 165
 
12.1%
7 67
 
4.9%
9 60
 
4.4%
4 59
 
4.3%
6 53
 
3.9%
2 50
 
3.7%
3 48
 
3.5%
Other values (2) 44
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 414
30.3%
- 227
16.6%
0 178
13.0%
8 165
 
12.1%
7 67
 
4.9%
9 60
 
4.4%
4 59
 
4.3%
6 53
 
3.9%
2 50
 
3.7%
3 48
 
3.5%
Other values (2) 44
 
3.2%
Distinct127
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T07:53:07.654472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length23.340741
Min length18

Characters and Unicode

Total characters3151
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)88.9%

Sample

1st row경상남도 함안군 군북면 중암7길 83(군북면)
2nd row경상남도 함안군 가야읍 함안대로 461(가야읍)
3rd row경상남도 함안군 가야읍 충무길 63
4th row경상남도 함안군 가야읍 함안대로 547(가야읍)
5th row경상남도 함안군 가야읍 함마대로 1501(가야읍)
ValueCountFrequency (%)
경상남도 134
18.9%
함안군 134
18.9%
가야읍 51
 
7.2%
칠원읍 32
 
4.5%
칠서면 18
 
2.5%
군북면 17
 
2.4%
함안대로 17
 
2.4%
삼칠로 16
 
2.3%
가야로 15
 
2.1%
함마대로 9
 
1.3%
Other values (190) 267
37.6%
2023-12-11T07:53:08.277210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
575
18.2%
164
 
5.2%
154
 
4.9%
153
 
4.9%
143
 
4.5%
143
 
4.5%
138
 
4.4%
136
 
4.3%
1 130
 
4.1%
103
 
3.3%
Other values (91) 1312
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1968
62.5%
Space Separator 575
 
18.2%
Decimal Number 476
 
15.1%
Close Punctuation 36
 
1.1%
Open Punctuation 36
 
1.1%
Dash Punctuation 31
 
1.0%
Other Punctuation 29
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
164
 
8.3%
154
 
7.8%
153
 
7.8%
143
 
7.3%
143
 
7.3%
138
 
7.0%
136
 
6.9%
103
 
5.2%
97
 
4.9%
90
 
4.6%
Other values (76) 647
32.9%
Decimal Number
ValueCountFrequency (%)
1 130
27.3%
2 58
12.2%
3 57
12.0%
0 43
 
9.0%
5 37
 
7.8%
8 34
 
7.1%
4 33
 
6.9%
6 32
 
6.7%
7 31
 
6.5%
9 21
 
4.4%
Space Separator
ValueCountFrequency (%)
575
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1968
62.5%
Common 1183
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
164
 
8.3%
154
 
7.8%
153
 
7.8%
143
 
7.3%
143
 
7.3%
138
 
7.0%
136
 
6.9%
103
 
5.2%
97
 
4.9%
90
 
4.6%
Other values (76) 647
32.9%
Common
ValueCountFrequency (%)
575
48.6%
1 130
 
11.0%
2 58
 
4.9%
3 57
 
4.8%
0 43
 
3.6%
5 37
 
3.1%
) 36
 
3.0%
( 36
 
3.0%
8 34
 
2.9%
4 33
 
2.8%
Other values (5) 144
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1968
62.5%
ASCII 1183
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
575
48.6%
1 130
 
11.0%
2 58
 
4.9%
3 57
 
4.8%
0 43
 
3.6%
5 37
 
3.1%
) 36
 
3.0%
( 36
 
3.0%
8 34
 
2.9%
4 33
 
2.8%
Other values (5) 144
 
12.2%
Hangul
ValueCountFrequency (%)
164
 
8.3%
154
 
7.8%
153
 
7.8%
143
 
7.3%
143
 
7.3%
138
 
7.0%
136
 
6.9%
103
 
5.2%
97
 
4.9%
90
 
4.6%
Other values (76) 647
32.9%

Missing values

2023-12-11T07:53:04.997721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:53:05.071570image/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

등록번호중개업소명사무소전화번호사무소주소(도로명)
0가-4324-0012삼성부동산중개055-585-5126경상남도 함안군 군북면 중암7길 83(군북면)
1가-4324-0318박순철제일부동산사무소055-583-9923경상남도 함안군 가야읍 함안대로 461(가야읍)
2가-4324-0024함안부동산중개055-582-7676경상남도 함안군 가야읍 충무길 63
3가-4324-0081럭키공인중개사사무소055-585-2577경상남도 함안군 가야읍 함안대로 547(가야읍)
4가-4324-0085토탈부동산중개사사무소055-582-7993경상남도 함안군 가야읍 함마대로 1501(가야읍)
5가-4324-0132가야공인중개사사무소055-585-9009경상남도 함안군 가야읍 가야로 158, 2동 101호
6가-4324-0160신우공인중개사사무소055-582-1999경상남도 함안군 가야읍 함안대로 498-1
7가-4324-0168대명부동산중개055-587-5123경상남도 함안군 칠북면 칠북로 33(칠북면)
8가-4324-0202태성공인중개사사무소055-587-8626경상남도 함안군 칠원읍 구성길 43(칠원읍)
9가-4324-0212이화공인중개사사무소055-583-1515경상남도 함안군 군북면 지두3길 4(군북면)
등록번호중개업소명사무소전화번호사무소주소(도로명)
12548730-2021-00014서마지기공인중개사사무소055-585-8949경상남도 함안군 가야읍 함안대로 551-1
12648730-2021-00015마창공인중개사사무소055-582-0077경상남도 함안군 가야읍 가야로 141-1
12748730-2022-00001신대산공인중개사사무소<NA>경상남도 함안군 대산면 대산중앙로 186
12848730-2022-00002태양공인중개사사무소296-6244경상남도 함안군 가야읍 중앙남3길 34-3
12948730-2022-00003NEWOK부동산공인중개사사무소055-521-001경상남도 함안군 칠서면 삼칠로 1242
13048730-2022-00004원탑공인중개사사무소055-298-8789경상남도 함안군 가야읍 말산로 28, 103호(아람데파트1차)
13148730-2022-00005까치부동산공인중개사사무소<NA>경상남도 함안군 칠원읍 경남대로 1771
13248730-2022-00006비전공인중개사사무소<NA>경상남도 함안군 칠원읍 삼칠로 132
13348730-2022-00007부성부동산중개사무소055-585-8294경상남도 함안군 가야읍 남경길 32, 601호
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