Overview

Dataset statistics

Number of variables9
Number of observations48
Missing cells58
Missing cells (%)13.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory75.8 B

Variable types

Numeric1
Text6
DateTime2

Dataset

Description경상남도 남해군의 등록된 부동산중개업소의 정보입니다. 부동산중개업소의 사무소명칭, 대표자, 소재지, 전화번호, 홈페이지정보, 면허정보 등을 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3077054

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 17 (35.4%) missing valuesMissing
홈페이지 has 41 (85.4%) missing valuesMissing
연번 has unique valuesUnique
사무소 명칭 has unique valuesUnique
대표자 has unique valuesUnique
등록일자 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:33:37.222386
Analysis finished2023-12-10 23:33:38.051679
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T08:33:38.123895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-11T08:33:38.260041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

사무소 명칭
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T08:33:38.469445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length11.041667
Min length7

Characters and Unicode

Total characters530
Distinct characters92
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

Unique48 ?
Unique (%)100.0%

Sample

1st row남해공인중개사사무소
2nd row상주부동산중개인사무소
3rd row태양부동산공인중개사사무소
4th row강남부동산개발공인중개사사무소
5th row조은공인중개사
ValueCountFrequency (%)
남해공인중개사사무소 1
 
2.1%
상주부동산중개인사무소 1
 
2.1%
남해섬공인중개사사무소 1
 
2.1%
강남공인중개사사무소 1
 
2.1%
힐링아일랜드부동산공인중개사사무소 1
 
2.1%
세종부동산공인중개사사무소 1
 
2.1%
바다공인중개사사무소 1
 
2.1%
하나공인중개사사무소 1
 
2.1%
대한공인중개사사무소 1
 
2.1%
금화공인중개사사무소 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T08:33:38.847090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 89
16.8%
개 49
 
9.2%
중 48
 
9.1%
인 47
 
8.9%
공 46
 
8.7%
무 43
 
8.1%
소 43
 
8.1%
남 15
 
2.8%
해 13
 
2.5%
부 10
 
1.9%
Other values (82) 127
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 89
16.8%
개 49
 
9.2%
중 48
 
9.1%
인 47
 
8.9%
공 46
 
8.7%
무 43
 
8.1%
소 43
 
8.1%
남 15
 
2.8%
해 13
 
2.5%
부 10
 
1.9%
Other values (82) 127
24.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 89
16.8%
개 49
 
9.2%
중 48
 
9.1%
인 47
 
8.9%
공 46
 
8.7%
무 43
 
8.1%
소 43
 
8.1%
남 15
 
2.8%
해 13
 
2.5%
부 10
 
1.9%
Other values (82) 127
24.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 89
16.8%
개 49
 
9.2%
중 48
 
9.1%
인 47
 
8.9%
공 46
 
8.7%
무 43
 
8.1%
소 43
 
8.1%
남 15
 
2.8%
해 13
 
2.5%
부 10
 
1.9%
Other values (82) 127
24.0%

대표자
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T08:33:39.124691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters144
Distinct characters75
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

Unique48 ?
Unique (%)100.0%

Sample

1st row정영배
2nd row류권수
3rd row정해호
4th row강대용
5th row이근남
ValueCountFrequency (%)
정영배 1
 
2.1%
류권수 1
 
2.1%
이영순 1
 
2.1%
조갑두 1
 
2.1%
박숙진 1
 
2.1%
조기언 1
 
2.1%
박영호 1
 
2.1%
박하나 1
 
2.1%
윤영구 1
 
2.1%
김정수 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T08:33:39.519561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 11
 
7.6%
정 10
 
6.9%
영 7
 
4.9%
박 6
 
4.2%
김 6
 
4.2%
윤 4
 
2.8%
조 4
 
2.8%
철 4
 
2.8%
호 4
 
2.8%
선 3
 
2.1%
Other values (65) 85
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
7.6%
정 10
 
6.9%
영 7
 
4.9%
박 6
 
4.2%
김 6
 
4.2%
윤 4
 
2.8%
조 4
 
2.8%
철 4
 
2.8%
호 4
 
2.8%
선 3
 
2.1%
Other values (65) 85
59.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11
 
7.6%
정 10
 
6.9%
영 7
 
4.9%
박 6
 
4.2%
김 6
 
4.2%
윤 4
 
2.8%
조 4
 
2.8%
철 4
 
2.8%
호 4
 
2.8%
선 3
 
2.1%
Other values (65) 85
59.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 11
 
7.6%
정 10
 
6.9%
영 7
 
4.9%
박 6
 
4.2%
김 6
 
4.2%
윤 4
 
2.8%
조 4
 
2.8%
철 4
 
2.8%
호 4
 
2.8%
선 3
 
2.1%
Other values (65) 85
59.0%

소재지
Text

Distinct45
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T08:33:39.755844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length23.666667
Min length19

Characters and Unicode

Total characters1136
Distinct characters52
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

Unique42 ?
Unique (%)87.5%

Sample

1st row경상남도 남해군 남해읍 화전로122번가길 40-9
2nd row경상남도 남해군 상주면 남해대로701번길 5-1
3rd row경상남도 남해군 창선면 동부대로 2765-9
4th row경상남도 남해군 삼동면 동부대로1122번길 132-9
5th row경상남도 남해군 삼동면 삼이로 1
ValueCountFrequency (%)
경상남도 48
19.7%
남해군 48
19.7%
남해읍 17
 
7.0%
동부대로 12
 
4.9%
남해대로 9
 
3.7%
창선면 9
 
3.7%
삼동면 8
 
3.3%
화전로 6
 
2.5%
이동면 5
 
2.0%
남서대로 4
 
1.6%
Other values (66) 78
32.0%
2023-12-11T08:33:40.165848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
21.3%
남 132
 
11.6%
해 76
 
6.7%
상 50
 
4.4%
경 48
 
4.2%
도 48
 
4.2%
군 48
 
4.2%
로 47
 
4.1%
2 36
 
3.2%
1 36
 
3.2%
Other values (42) 373
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
60.0%
Space Separator 242
 
21.3%
Decimal Number 199
 
17.5%
Dash Punctuation 13
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 132
19.4%
해 76
11.1%
상 50
 
7.3%
경 48
 
7.0%
도 48
 
7.0%
군 48
 
7.0%
로 47
 
6.9%
면 32
 
4.7%
대 31
 
4.5%
동 30
 
4.4%
Other values (30) 140
20.5%
Decimal Number
ValueCountFrequency (%)
2 36
18.1%
1 36
18.1%
5 20
10.1%
9 18
9.0%
6 17
8.5%
3 17
8.5%
8 16
8.0%
7 16
8.0%
4 13
 
6.5%
0 10
 
5.0%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
60.0%
Common 454
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 132
19.4%
해 76
11.1%
상 50
 
7.3%
경 48
 
7.0%
도 48
 
7.0%
군 48
 
7.0%
로 47
 
6.9%
면 32
 
4.7%
대 31
 
4.5%
동 30
 
4.4%
Other values (30) 140
20.5%
Common
ValueCountFrequency (%)
242
53.3%
2 36
 
7.9%
1 36
 
7.9%
5 20
 
4.4%
9 18
 
4.0%
6 17
 
3.7%
3 17
 
3.7%
8 16
 
3.5%
7 16
 
3.5%
- 13
 
2.9%
Other values (2) 23
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
60.0%
ASCII 454
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
53.3%
2 36
 
7.9%
1 36
 
7.9%
5 20
 
4.4%
9 18
 
4.0%
6 17
 
3.7%
3 17
 
3.7%
8 16
 
3.5%
7 16
 
3.5%
- 13
 
2.9%
Other values (2) 23
 
5.1%
Hangul
ValueCountFrequency (%)
남 132
19.4%
해 76
11.1%
상 50
 
7.3%
경 48
 
7.0%
도 48
 
7.0%
군 48
 
7.0%
로 47
 
6.9%
면 32
 
4.7%
대 31
 
4.5%
동 30
 
4.4%
Other values (30) 140
20.5%

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing17
Missing (%)35.4%
Memory size516.0 B
2023-12-11T08:33:40.391156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row055-864-5599
2nd row055-862-6107
3rd row055-867-3535
4th row055-867-2318
5th row055-867-9854
ValueCountFrequency (%)
055-864-5599 1
 
3.2%
055-864-4007 1
 
3.2%
055-864-5353 1
 
3.2%
055-867-7933 1
 
3.2%
055-867-8989 1
 
3.2%
055-863-1580 1
 
3.2%
055-867-2243 1
 
3.2%
055-864-3337 1
 
3.2%
055-863-4569 1
 
3.2%
055-864-2988 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T08:33:40.730119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 81
21.8%
- 62
16.7%
8 49
13.2%
6 43
11.6%
0 42
11.3%
3 23
 
6.2%
4 21
 
5.6%
7 21
 
5.6%
9 13
 
3.5%
2 10
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 81
26.1%
8 49
15.8%
6 43
13.9%
0 42
13.5%
3 23
 
7.4%
4 21
 
6.8%
7 21
 
6.8%
9 13
 
4.2%
2 10
 
3.2%
1 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 81
21.8%
- 62
16.7%
8 49
13.2%
6 43
11.6%
0 42
11.3%
3 23
 
6.2%
4 21
 
5.6%
7 21
 
5.6%
9 13
 
3.5%
2 10
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 81
21.8%
- 62
16.7%
8 49
13.2%
6 43
11.6%
0 42
11.3%
3 23
 
6.2%
4 21
 
5.6%
7 21
 
5.6%
9 13
 
3.5%
2 10
 
2.7%

홈페이지
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing41
Missing (%)85.4%
Memory size516.0 B
2023-12-11T08:33:40.920608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length29.142857
Min length17

Characters and Unicode

Total characters204
Distinct characters48
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowhttp://동남해부동산.kr/
2nd rowhttps://www.facebook.com/groups/1086995501511318
3rd rowhttp://cafe.daum.net/NHsinbaram
4th rowhttp://www.남해대진공인.kr
5th rowhttps://blog.naver.com/dkfksi/220475544805
ValueCountFrequency (%)
http://동남해부동산.kr 1
14.3%
https://www.facebook.com/groups/1086995501511318 1
14.3%
http://cafe.daum.net/nhsinbaram 1
14.3%
http://www.남해대진공인.kr 1
14.3%
https://blog.naver.com/dkfksi/220475544805 1
14.3%
https://blog.naver.com/wojkm 1
14.3%
http://www.하나공인.kr 1
14.3%
2023-12-11T08:33:41.245949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 21
 
10.3%
t 15
 
7.4%
. 13
 
6.4%
w 10
 
4.9%
o 9
 
4.4%
p 8
 
3.9%
h 7
 
3.4%
a 7
 
3.4%
: 7
 
3.4%
k 7
 
3.4%
Other values (38) 100
49.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 117
57.4%
Other Punctuation 41
 
20.1%
Decimal Number 28
 
13.7%
Other Letter 16
 
7.8%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 15
12.8%
w 10
 
8.5%
o 9
 
7.7%
p 8
 
6.8%
h 7
 
6.0%
a 7
 
6.0%
k 7
 
6.0%
r 7
 
6.0%
m 6
 
5.1%
s 6
 
5.1%
Other values (12) 35
29.9%
Other Letter
ValueCountFrequency (%)
남 2
12.5%
인 2
12.5%
공 2
12.5%
동 2
12.5%
해 2
12.5%
산 1
6.2%
대 1
6.2%
진 1
6.2%
부 1
6.2%
하 1
6.2%
Decimal Number
ValueCountFrequency (%)
5 6
21.4%
1 5
17.9%
0 4
14.3%
4 3
10.7%
8 3
10.7%
2 2
 
7.1%
9 2
 
7.1%
3 1
 
3.6%
6 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 21
51.2%
. 13
31.7%
: 7
 
17.1%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
H 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 119
58.3%
Common 69
33.8%
Hangul 16
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 15
12.6%
w 10
 
8.4%
o 9
 
7.6%
p 8
 
6.7%
h 7
 
5.9%
a 7
 
5.9%
k 7
 
5.9%
r 7
 
5.9%
m 6
 
5.0%
s 6
 
5.0%
Other values (14) 37
31.1%
Common
ValueCountFrequency (%)
/ 21
30.4%
. 13
18.8%
: 7
 
10.1%
5 6
 
8.7%
1 5
 
7.2%
0 4
 
5.8%
4 3
 
4.3%
8 3
 
4.3%
2 2
 
2.9%
9 2
 
2.9%
Other values (3) 3
 
4.3%
Hangul
ValueCountFrequency (%)
남 2
12.5%
인 2
12.5%
공 2
12.5%
동 2
12.5%
해 2
12.5%
산 1
6.2%
대 1
6.2%
진 1
6.2%
부 1
6.2%
하 1
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
92.2%
Hangul 16
 
7.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 21
 
11.2%
t 15
 
8.0%
. 13
 
6.9%
w 10
 
5.3%
o 9
 
4.8%
p 8
 
4.3%
h 7
 
3.7%
a 7
 
3.7%
: 7
 
3.7%
k 7
 
3.7%
Other values (27) 84
44.7%
Hangul
ValueCountFrequency (%)
남 2
12.5%
인 2
12.5%
공 2
12.5%
동 2
12.5%
해 2
12.5%
산 1
6.2%
대 1
6.2%
진 1
6.2%
부 1
6.2%
하 1
6.2%

등록일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum1987-09-22 00:00:00
Maximum2023-04-13 00:00:00
2023-12-11T08:33:41.371143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:41.535819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

등록번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T08:33:41.994509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.916667
Min length8

Characters and Unicode

Total characters668
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

Unique48 ?
Unique (%)100.0%

Sample

1st row가4346-0007
2nd row가4346-0019
3rd row가4346-0021
4th row가4346-0027
5th row가4346-0050
ValueCountFrequency (%)
가4346-0007 1
 
2.1%
가4346-0019 1
 
2.1%
48840-2020-00009 1
 
2.1%
48840-2018-00004 1
 
2.1%
48840-2018-00008 1
 
2.1%
48840-2018-00009 1
 
2.1%
48840-2018-00010 1
 
2.1%
48840-2019-00001 1
 
2.1%
48840-2019-00002 1
 
2.1%
48840-2019-00008 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T08:33:42.318812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 218
32.6%
4 100
15.0%
- 80
 
12.0%
8 76
 
11.4%
2 63
 
9.4%
1 41
 
6.1%
6 25
 
3.7%
3 22
 
3.3%
가 16
 
2.4%
9 11
 
1.6%
Other values (2) 16
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 572
85.6%
Dash Punctuation 80
 
12.0%
Other Letter 16
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
38.1%
4 100
17.5%
8 76
 
13.3%
2 63
 
11.0%
1 41
 
7.2%
6 25
 
4.4%
3 22
 
3.8%
9 11
 
1.9%
7 8
 
1.4%
5 8
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Other Letter
ValueCountFrequency (%)
가 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 652
97.6%
Hangul 16
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 218
33.4%
4 100
15.3%
- 80
 
12.3%
8 76
 
11.7%
2 63
 
9.7%
1 41
 
6.3%
6 25
 
3.8%
3 22
 
3.4%
9 11
 
1.7%
7 8
 
1.2%
Hangul
ValueCountFrequency (%)
가 16
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 652
97.6%
Hangul 16
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 218
33.4%
4 100
15.3%
- 80
 
12.3%
8 76
 
11.7%
2 63
 
9.7%
1 41
 
6.3%
6 25
 
3.8%
3 22
 
3.4%
9 11
 
1.7%
7 8
 
1.2%
Hangul
ValueCountFrequency (%)
가 16
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2023-06-13 00:00:00
Maximum2023-06-13 00:00:00
2023-12-11T08:33:42.447417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:42.535777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:33:37.611587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:33:42.602836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사무소 명칭대표자소재지전화번호홈페이지등록일자등록번호
연번1.0001.0001.0000.7931.0001.0001.0001.000
사무소 명칭1.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.000
소재지0.7931.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T08:33:37.752131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:33:37.885771image/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.
2023-12-11T08:33:38.006328image/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

연번사무소 명칭대표자소재지전화번호홈페이지등록일자등록번호데이터기준일
01남해공인중개사사무소정영배경상남도 남해군 남해읍 화전로122번가길 40-9055-864-5599<NA>1987-09-22가4346-00072023-06-13
12상주부동산중개인사무소류권수경상남도 남해군 상주면 남해대로701번길 5-1055-862-6107<NA>1990-01-11가4346-00192023-06-13
23태양부동산공인중개사사무소정해호경상남도 남해군 창선면 동부대로 2765-9<NA><NA>1991-03-11가4346-00212023-06-13
34강남부동산개발공인중개사사무소강대용경상남도 남해군 삼동면 동부대로1122번길 132-9055-867-3535<NA>1996-12-27가4346-00272023-06-13
45조은공인중개사이근남경상남도 남해군 삼동면 삼이로 1055-867-2318<NA>2004-08-18가4346-00502023-06-13
56세명공인중개사사무소김길봉경상남도 남해군 삼동면 삼이로 9055-867-9854<NA>2008-07-23가4346-00872023-06-13
67동남해공인중개사최부원경상남도 남해군 삼동면 동부대로 1286055-867-8807http://동남해부동산.kr/2008-08-29가4346-00882023-06-13
78대길공인중개사이영주경상남도 남해군 이동면 남해대로2375번길 2055-863-0205<NA>2008-12-05가4346-942023-06-13
89경남공인중개사사무소김기중경상남도 남해군 창선면 동부대로 2431055-867-6731<NA>2009-09-22가4346-982023-06-13
910푸른공인중개사사무소이춘선경상남도 남해군 남해읍 화전로 124055-864-0065https://www.facebook.com/groups/10869955015113182009-10-12가4346-00992023-06-13
연번사무소 명칭대표자소재지전화번호홈페이지등록일자등록번호데이터기준일
3839남해희망공인중개사사무소하한찬경상남도 남해군 남해읍 화전로78번길 5<NA><NA>2021-09-0248840-2021-000102023-06-13
3940한려공인중개사무소장경태경상남도 남해군 남해읍 화전로 149<NA><NA>2022-01-1448840-2022-000012023-06-13
4041청담공인중개사사무소정선환경상남도 남해군 고현면 남해대로 3391055-863-5550<NA>2022-02-1848840-2022-000022023-06-13
4142삼주공인중개사사무소심현주경상남도 남해군 삼동면 동부대로1876번길 13<NA><NA>2022-03-1848840-2022-000032023-06-13
4243남해우리들공인중개사사무소김송화경상남도 남해군 남면 남서대로 837<NA><NA>2022-03-2448840-2022-000042023-06-13
4344만평공인중개사사무소정인식경상남도 남해군 창선면 동부대로 2125<NA><NA>2022-07-0648840-2022-000052023-06-13
4445장원부동산공인중개사사무소조윤희경상남도 남해군 창선면 동부대로 2879<NA><NA>2022-10-2848840-2022-000062023-06-13
4546벨라공인중개사사무소유귀동경상남도 남해군 남해읍 화전로78번길 5<NA><NA>2022-11-2148840-2022-000072023-06-13
4647남해해저터널공인중개사사무소정승웅경상남도 남해군 서면 남서대로 2468-70<NA><NA>2023-02-1648840-2023-000012023-06-13
4748남해안베스트부동산공인중개사무소이선민경상남도 남해군 남해읍 화전로96번나길 27-9<NA><NA>2023-04-1348840-2023-000032023-06-13