Overview

Dataset statistics

Number of variables11
Number of observations1330
Missing cells256
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory117.0 KiB
Average record size in memory90.1 B

Variable types

Text5
Categorical3
DateTime1
Numeric2

Dataset

Description경상남도 김해시 부동산중개업사무소 현황에 대한 자료로 등록번호, 영업상태, 사무소명, 중개업소종별 등에 대한 항목으로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033441/fileData.do

Alerts

중개업소종별 is highly overall correlated with 중개업자구분High correlation
중개업자구분 is highly overall correlated with 중개업소종별High correlation
영업상태 is highly imbalanced (97.0%)Imbalance
중개업소종별 is highly imbalanced (90.1%)Imbalance
중개업자구분 is highly imbalanced (93.5%)Imbalance
사무소전화번호 has 256 (19.2%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:49:38.198222
Analysis finished2023-12-12 16:49:39.764888
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct1330
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T01:49:39.963508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length14.26015
Min length7

Characters and Unicode

Total characters18966
Distinct characters15
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1330 ?
Unique (%)100.0%

Sample

1st row가430811-30
2nd row가-4368-336
3rd row가-4316-0961
4th row가-4316-0910
5th row가-4316-1134
ValueCountFrequency (%)
가430811-30 1
 
0.1%
48250-2019-00066 1
 
0.1%
48250-2019-00064 1
 
0.1%
48250-2019-00063 1
 
0.1%
48250-2019-00061 1
 
0.1%
48250-2019-00059 1
 
0.1%
48250-2019-00058 1
 
0.1%
48250-2019-00052 1
 
0.1%
48250-2019-00050 1
 
0.1%
48250-2019-00049 1
 
0.1%
Other values (1320) 1320
99.2%
2023-12-13T01:49:40.424396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4434
23.4%
2 2730
14.4%
- 2650
14.0%
1 1963
10.4%
4 1690
 
8.9%
8 1287
 
6.8%
5 1279
 
6.7%
3 917
 
4.8%
6 828
 
4.4%
가 454
 
2.4%
Other values (5) 734
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15859
83.6%
Dash Punctuation 2650
 
14.0%
Other Letter 454
 
2.4%
Other Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4434
28.0%
2 2730
17.2%
1 1963
12.4%
4 1690
 
10.7%
8 1287
 
8.1%
5 1279
 
8.1%
3 917
 
5.8%
6 828
 
5.2%
7 387
 
2.4%
9 344
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 2650
100.0%
Other Letter
ValueCountFrequency (%)
가 454
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18511
97.6%
Hangul 454
 
2.4%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4434
24.0%
2 2730
14.7%
- 2650
14.3%
1 1963
10.6%
4 1690
 
9.1%
8 1287
 
7.0%
5 1279
 
6.9%
3 917
 
5.0%
6 828
 
4.5%
7 387
 
2.1%
Other values (3) 346
 
1.9%
Hangul
ValueCountFrequency (%)
가 454
100.0%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18512
97.6%
Hangul 454
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4434
24.0%
2 2730
14.7%
- 2650
14.3%
1 1963
10.6%
4 1690
 
9.1%
8 1287
 
7.0%
5 1279
 
6.9%
3 917
 
5.0%
6 828
 
4.5%
7 387
 
2.1%
Other values (4) 347
 
1.9%
Hangul
ValueCountFrequency (%)
가 454
100.0%

영업상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
영업중
1326 
휴업
 
4

Length

Max length3
Median length3
Mean length2.9969925
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1326
99.7%
휴업 4
 
0.3%

Length

2023-12-13T01:49:40.610065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:49:40.744887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1326
99.7%
휴업 4
 
0.3%

사무소명
Text

Distinct1088
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T01:49:40.983891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length11.22406
Min length7

Characters and Unicode

Total characters14928
Distinct characters410
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

Unique947 ?
Unique (%)71.2%

Sample

1st row율하공인중개사사무소
2nd row투데이공인중개사사무소
3rd row114공인중개사사무소
4th row중앙공인중개사사무소
5th row늘푸른공인중개사사무소
ValueCountFrequency (%)
황금공인중개사사무소 9
 
0.7%
미래공인중개사사무소 8
 
0.6%
미소공인중개사사무소 7
 
0.5%
1등부동산공인중개사사무소 6
 
0.4%
태양공인중개사사무소 6
 
0.4%
삼성공인중개사사무소 6
 
0.4%
대호공인중개사사무소 5
 
0.4%
우리공인중개사사무소 5
 
0.4%
강남공인중개사사무소 5
 
0.4%
대박공인중개사사무소 4
 
0.3%
Other values (1083) 1274
95.4%
2023-12-13T01:49:41.459874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2466
16.5%
중 1345
 
9.0%
개 1333
 
8.9%
소 1286
 
8.6%
무 1273
 
8.5%
인 1199
 
8.0%
공 1182
 
7.9%
동 475
 
3.2%
부 429
 
2.9%
산 424
 
2.8%
Other values (400) 3516
23.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14737
98.7%
Uppercase Letter 95
 
0.6%
Decimal Number 48
 
0.3%
Lowercase Letter 21
 
0.1%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Space Separator 5
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2466
16.7%
중 1345
9.1%
개 1333
9.0%
소 1286
 
8.7%
무 1273
 
8.6%
인 1199
 
8.1%
공 1182
 
8.0%
동 475
 
3.2%
부 429
 
2.9%
산 424
 
2.9%
Other values (356) 3325
22.6%
Uppercase Letter
ValueCountFrequency (%)
K 17
17.9%
O 11
11.6%
L 10
10.5%
B 8
 
8.4%
A 6
 
6.3%
T 4
 
4.2%
H 4
 
4.2%
P 4
 
4.2%
G 4
 
4.2%
S 4
 
4.2%
Other values (12) 23
24.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
38.1%
o 3
 
14.3%
l 2
 
9.5%
a 2
 
9.5%
h 2
 
9.5%
p 1
 
4.8%
i 1
 
4.8%
d 1
 
4.8%
t 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 26
54.2%
4 8
 
16.7%
2 4
 
8.3%
7 3
 
6.2%
3 3
 
6.2%
9 3
 
6.2%
0 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
! 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14735
98.7%
Latin 116
 
0.8%
Common 75
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2466
16.7%
중 1345
9.1%
개 1333
9.0%
소 1286
 
8.7%
무 1273
 
8.6%
인 1199
 
8.1%
공 1182
 
8.0%
동 475
 
3.2%
부 429
 
2.9%
산 424
 
2.9%
Other values (355) 3323
22.6%
Latin
ValueCountFrequency (%)
K 17
14.7%
O 11
 
9.5%
L 10
 
8.6%
e 8
 
6.9%
B 8
 
6.9%
A 6
 
5.2%
T 4
 
3.4%
H 4
 
3.4%
P 4
 
3.4%
G 4
 
3.4%
Other values (21) 40
34.5%
Common
ValueCountFrequency (%)
1 26
34.7%
) 9
 
12.0%
( 9
 
12.0%
4 8
 
10.7%
5
 
6.7%
2 4
 
5.3%
7 3
 
4.0%
3 3
 
4.0%
9 3
 
4.0%
& 2
 
2.7%
Other values (3) 3
 
4.0%
Han
ValueCountFrequency (%)
土 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14735
98.7%
ASCII 191
 
1.3%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2466
16.7%
중 1345
9.1%
개 1333
9.0%
소 1286
 
8.7%
무 1273
 
8.6%
인 1199
 
8.1%
공 1182
 
8.0%
동 475
 
3.2%
부 429
 
2.9%
산 424
 
2.9%
Other values (355) 3323
22.6%
ASCII
ValueCountFrequency (%)
1 26
 
13.6%
K 17
 
8.9%
O 11
 
5.8%
L 10
 
5.2%
) 9
 
4.7%
( 9
 
4.7%
e 8
 
4.2%
B 8
 
4.2%
4 8
 
4.2%
A 6
 
3.1%
Other values (34) 79
41.4%
CJK
ValueCountFrequency (%)
土 2
100.0%

중개업소종별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
공인중개사
1304 
중개인
 
16
법인
 
10

Length

Max length5
Median length5
Mean length4.9533835
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 1304
98.0%
중개인 16
 
1.2%
법인 10
 
0.8%

Length

2023-12-13T01:49:41.642448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:49:41.770126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 1304
98.0%
중개인 16
 
1.2%
법인 10
 
0.8%

대표자
Text

Distinct1254
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T01:49:42.092005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.993985
Min length2

Characters and Unicode

Total characters3982
Distinct characters212
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

Unique1195 ?
Unique (%)89.8%

Sample

1st row이차희
2nd row김영명
3rd row김민정
4th row황수만
5th row심은경
ValueCountFrequency (%)
김미경 5
 
0.4%
김영숙 4
 
0.3%
김지영 4
 
0.3%
박정희 4
 
0.3%
최미영 3
 
0.2%
김진영 3
 
0.2%
김현주 3
 
0.2%
이영숙 3
 
0.2%
서정훈 3
 
0.2%
김상원 3
 
0.2%
Other values (1244) 1295
97.4%
2023-12-13T01:49:42.614478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 282
 
7.1%
정 196
 
4.9%
이 173
 
4.3%
영 162
 
4.1%
박 147
 
3.7%
미 117
 
2.9%
경 104
 
2.6%
숙 98
 
2.5%
희 96
 
2.4%
현 79
 
2.0%
Other values (202) 2528
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3982
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 282
 
7.1%
정 196
 
4.9%
이 173
 
4.3%
영 162
 
4.1%
박 147
 
3.7%
미 117
 
2.9%
경 104
 
2.6%
숙 98
 
2.5%
희 96
 
2.4%
현 79
 
2.0%
Other values (202) 2528
63.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3982
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 282
 
7.1%
정 196
 
4.9%
이 173
 
4.3%
영 162
 
4.1%
박 147
 
3.7%
미 117
 
2.9%
경 104
 
2.6%
숙 98
 
2.5%
희 96
 
2.4%
현 79
 
2.0%
Other values (202) 2528
63.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3982
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 282
 
7.1%
정 196
 
4.9%
이 173
 
4.3%
영 162
 
4.1%
박 147
 
3.7%
미 117
 
2.9%
경 104
 
2.6%
숙 98
 
2.5%
희 96
 
2.4%
현 79
 
2.0%
Other values (202) 2528
63.5%

중개업자구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
공인중개사
1313 
중개인
 
16
법인
 
1

Length

Max length5
Median length5
Mean length4.9736842
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 1313
98.7%
중개인 16
 
1.2%
법인 1
 
0.1%

Length

2023-12-13T01:49:42.799556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:49:42.925642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 1313
98.7%
중개인 16
 
1.2%
법인 1
 
0.1%

등록일
Date

Distinct1044
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Minimum1984-11-01 00:00:00
Maximum2022-10-11 00:00:00
2023-12-13T01:49:43.092604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:49:43.287609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사무소전화번호
Text

MISSING 

Distinct1046
Distinct (%)97.4%
Missing256
Missing (%)19.2%
Memory size10.5 KiB
2023-12-13T01:49:43.612327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.999069
Min length9

Characters and Unicode

Total characters12887
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

Unique1019 ?
Unique (%)94.9%

Sample

1st row055-312-8510
2nd row055-312-4600
3rd row055-336-1114
4th row055-328-5008
5th row055-325-0033
ValueCountFrequency (%)
055-313-4988 3
 
0.3%
055-323-2227 2
 
0.2%
055-322-6655 2
 
0.2%
055-321-4989 2
 
0.2%
055-324-3004 2
 
0.2%
055-322-0966 2
 
0.2%
055-335-1429 2
 
0.2%
055-324-4080 2
 
0.2%
055-322-2177 2
 
0.2%
055-322-8686 2
 
0.2%
Other values (1036) 1053
98.0%
2023-12-13T01:49:44.089814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2663
20.7%
- 2147
16.7%
3 1922
14.9%
0 1906
14.8%
2 902
 
7.0%
1 730
 
5.7%
4 682
 
5.3%
8 609
 
4.7%
9 536
 
4.2%
7 415
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10740
83.3%
Dash Punctuation 2147
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2663
24.8%
3 1922
17.9%
0 1906
17.7%
2 902
 
8.4%
1 730
 
6.8%
4 682
 
6.4%
8 609
 
5.7%
9 536
 
5.0%
7 415
 
3.9%
6 375
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12887
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2663
20.7%
- 2147
16.7%
3 1922
14.9%
0 1906
14.8%
2 902
 
7.0%
1 730
 
5.7%
4 682
 
5.3%
8 609
 
4.7%
9 536
 
4.2%
7 415
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2663
20.7%
- 2147
16.7%
3 1922
14.9%
0 1906
14.8%
2 902
 
7.0%
1 730
 
5.7%
4 682
 
5.3%
8 609
 
4.7%
9 536
 
4.2%
7 415
 
3.2%

사무소주소
Text

Distinct1208
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T01:49:44.514211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length29.806015
Min length14

Characters and Unicode

Total characters39642
Distinct characters267
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

Unique1097 ?
Unique (%)82.5%

Sample

1st row경상남도 김해시 팔판로 29, 103호(관동동,팔판마을6단지푸르지오 주상가)
2nd row경상남도 김해시 계동로 184, 1층(대청동)
3rd row경상남도 김해시 삼안로206번길 1(삼방동)
4th row경상남도 김해시 금관대로599번길 17, 106호(무계동, 대동@1단지상가)
5th row경상남도 김해시 활천로 185, 101호(어방동, 어방동원상가 에이동)
ValueCountFrequency (%)
경상남도 1330
 
18.5%
김해시 1330
 
18.5%
상가동 120
 
1.7%
진영읍 96
 
1.3%
주촌면 78
 
1.1%
김해대로 60
 
0.8%
진례면 56
 
0.8%
1층 50
 
0.7%
분성로 40
 
0.6%
대동면 39
 
0.5%
Other values (1653) 3982
55.5%
2023-12-13T01:49:45.100464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5851
 
14.8%
1 2198
 
5.5%
동 1701
 
4.3%
상 1658
 
4.2%
해 1507
 
3.8%
김 1482
 
3.7%
시 1385
 
3.5%
남 1359
 
3.4%
경 1348
 
3.4%
도 1339
 
3.4%
Other values (257) 19814
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22685
57.2%
Decimal Number 7613
 
19.2%
Space Separator 5851
 
14.8%
Other Punctuation 1082
 
2.7%
Open Punctuation 1019
 
2.6%
Close Punctuation 1019
 
2.6%
Dash Punctuation 279
 
0.7%
Uppercase Letter 61
 
0.2%
Lowercase Letter 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1701
 
7.5%
상 1658
 
7.3%
해 1507
 
6.6%
김 1482
 
6.5%
시 1385
 
6.1%
남 1359
 
6.0%
경 1348
 
5.9%
도 1339
 
5.9%
로 1327
 
5.8%
호 680
 
3.0%
Other values (228) 8899
39.2%
Decimal Number
ValueCountFrequency (%)
1 2198
28.9%
2 998
13.1%
0 957
12.6%
3 715
 
9.4%
4 574
 
7.5%
5 570
 
7.5%
7 437
 
5.7%
6 420
 
5.5%
9 393
 
5.2%
8 351
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 35
57.4%
A 12
 
19.7%
G 6
 
9.8%
S 3
 
4.9%
N 2
 
3.3%
I 1
 
1.6%
C 1
 
1.6%
D 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 14
42.4%
o 12
36.4%
d 6
18.2%
s 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 1077
99.5%
@ 3
 
0.3%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
5851
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1019
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1019
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22685
57.2%
Common 16863
42.5%
Latin 94
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1701
 
7.5%
상 1658
 
7.3%
해 1507
 
6.6%
김 1482
 
6.5%
시 1385
 
6.1%
남 1359
 
6.0%
경 1348
 
5.9%
도 1339
 
5.9%
로 1327
 
5.8%
호 680
 
3.0%
Other values (228) 8899
39.2%
Common
ValueCountFrequency (%)
5851
34.7%
1 2198
 
13.0%
, 1077
 
6.4%
( 1019
 
6.0%
) 1019
 
6.0%
2 998
 
5.9%
0 957
 
5.7%
3 715
 
4.2%
4 574
 
3.4%
5 570
 
3.4%
Other values (7) 1885
 
11.2%
Latin
ValueCountFrequency (%)
B 35
37.2%
e 14
 
14.9%
A 12
 
12.8%
o 12
 
12.8%
d 6
 
6.4%
G 6
 
6.4%
S 3
 
3.2%
N 2
 
2.1%
I 1
 
1.1%
C 1
 
1.1%
Other values (2) 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22685
57.2%
ASCII 16957
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5851
34.5%
1 2198
 
13.0%
, 1077
 
6.4%
( 1019
 
6.0%
) 1019
 
6.0%
2 998
 
5.9%
0 957
 
5.6%
3 715
 
4.2%
4 574
 
3.4%
5 570
 
3.4%
Other values (19) 1979
 
11.7%
Hangul
ValueCountFrequency (%)
동 1701
 
7.5%
상 1658
 
7.3%
해 1507
 
6.6%
김 1482
 
6.5%
시 1385
 
6.1%
남 1359
 
6.0%
경 1348
 
5.9%
도 1339
 
5.9%
로 1327
 
5.8%
호 680
 
3.0%
Other values (228) 8899
39.2%

위도
Real number (ℝ)

Distinct921
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.231598
Minimum35.165881
Maximum35.348932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-13T01:49:45.617031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.165881
5-th percentile35.171888
Q135.203809
median35.232857
Q335.248214
95-th percentile35.308189
Maximum35.348932
Range0.18305057
Interquartile range (IQR)0.044404525

Descriptive statistics

Standard deviation0.036987943
Coefficient of variation (CV)0.0010498514
Kurtosis-0.075546171
Mean35.231598
Median Absolute Deviation (MAD)0.0200759
Skewness0.30950487
Sum46858.025
Variance0.0013681079
MonotonicityNot monotonic
2023-12-13T01:49:45.845629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.23258566 12
 
0.9%
35.23225506 8
 
0.6%
35.16849624 8
 
0.6%
35.23172635 7
 
0.5%
35.27228795 7
 
0.5%
35.23022662 7
 
0.5%
35.17886313 6
 
0.5%
35.16799562 6
 
0.5%
35.17852791 5
 
0.4%
35.23762187 5
 
0.4%
Other values (911) 1259
94.7%
ValueCountFrequency (%)
35.16588135 2
 
0.2%
35.166212 5
0.4%
35.16645311 1
 
0.1%
35.16716154 3
 
0.2%
35.1677772 1
 
0.1%
35.16799562 6
0.5%
35.16849624 8
0.6%
35.16861565 1
 
0.1%
35.16916363 2
 
0.2%
35.16928789 5
0.4%
ValueCountFrequency (%)
35.34893192 1
0.1%
35.32720605 1
0.1%
35.32698912 2
0.2%
35.32612807 1
0.1%
35.32396616 1
0.1%
35.32312082 1
0.1%
35.32279194 1
0.1%
35.32138998 2
0.2%
35.32087636 1
0.1%
35.3202421 1
0.1%

경도
Real number (ℝ)

Distinct921
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.8435
Minimum128.70789
Maximum129.0002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-13T01:49:46.042814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.70789
5-th percentile128.73621
Q1128.81081
median128.85037
Q3128.87377
95-th percentile128.91773
Maximum129.0002
Range0.2923076
Interquartile range (IQR)0.06295455

Descriptive statistics

Standard deviation0.054387567
Coefficient of variation (CV)0.00042212115
Kurtosis0.33110691
Mean128.8435
Median Absolute Deviation (MAD)0.0343532
Skewness-0.0068698254
Sum171361.86
Variance0.0029580075
MonotonicityNot monotonic
2023-12-13T01:49:46.216207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8385327 12
 
0.9%
128.8674886 8
 
0.6%
128.8292996 8
 
0.6%
128.8670545 7
 
0.5%
128.8659704 7
 
0.5%
128.8637537 7
 
0.5%
128.8132771 6
 
0.5%
128.8260562 6
 
0.5%
128.8202014 5
 
0.4%
128.91469 5
 
0.4%
Other values (911) 1259
94.7%
ValueCountFrequency (%)
128.7078946 1
0.1%
128.7079591 1
0.1%
128.7098545 1
0.1%
128.7107256 1
0.1%
128.7188337 1
0.1%
128.7190934 1
0.1%
128.7192123 1
0.1%
128.7193031 1
0.1%
128.7201694 1
0.1%
128.7204039 1
0.1%
ValueCountFrequency (%)
129.0002022 1
0.1%
129.0001709 1
0.1%
129.0001215 1
0.1%
128.9980014 1
0.1%
128.9960777 2
0.2%
128.9950985 1
0.1%
128.9943616 1
0.1%
128.9943531 1
0.1%
128.9942585 1
0.1%
128.9941779 1
0.1%

Interactions

2023-12-13T01:49:39.159893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:49:38.924411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:49:39.267449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:49:39.042645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:49:46.346782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태중개업소종별중개업자구분위도경도
영업상태1.0000.0000.0000.0000.000
중개업소종별0.0001.0000.9550.1830.015
중개업자구분0.0000.9551.0000.1670.000
위도0.0000.1830.1671.0000.867
경도0.0000.0150.0000.8671.000
2023-12-13T01:49:46.465804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업자구분영업상태중개업소종별
중개업자구분1.0000.0000.741
영업상태0.0001.0000.000
중개업소종별0.7410.0001.000
2023-12-13T01:49:46.563642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도영업상태중개업소종별중개업자구분
위도1.0000.1670.0000.1100.100
경도0.1671.0000.0000.0090.000
영업상태0.0000.0001.0000.0000.000
중개업소종별0.1100.0090.0001.0000.741
중개업자구분0.1000.0000.0000.7411.000

Missing values

2023-12-13T01:49:39.462391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:49:39.686642image/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

등록번호영업상태사무소명중개업소종별대표자중개업자구분등록일사무소전화번호사무소주소위도경도
0가430811-30영업중율하공인중개사사무소공인중개사이차희공인중개사2001-08-27055-312-8510경상남도 김해시 팔판로 29, 103호(관동동,팔판마을6단지푸르지오 주상가)35.176757128.791079
1가-4368-336영업중투데이공인중개사사무소공인중개사김영명공인중개사2005-03-19055-312-4600경상남도 김해시 계동로 184, 1층(대청동)35.189129128.798578
2가-4316-0961영업중114공인중개사사무소공인중개사김민정공인중개사2002-05-15055-336-1114경상남도 김해시 삼안로206번길 1(삼방동)35.246685128.91177
3가-4316-0910영업중중앙공인중개사사무소공인중개사황수만공인중개사2002-01-08055-328-5008경상남도 김해시 금관대로599번길 17, 106호(무계동, 대동@1단지상가)35.203349128.814071
4가-4316-1134영업중늘푸른공인중개사사무소공인중개사심은경공인중개사2003-06-09055-325-0033경상남도 김해시 활천로 185, 101호(어방동, 어방동원상가 에이동)35.241489128.900219
5가-4316-1157영업중미래공인중개사사무소공인중개사정천모공인중개사2003-08-02055-321-7887경상남도 김해시 월산로 82-58, 109동105호(부곡동,대동아파트상가동)35.204704128.80699
6가-4316-1153영업중김해공인중개사사무소공인중개사김보홍공인중개사2003-07-10055-333-8999경상남도 김해시 함박로 121, 207동 105호,(외동, 덕산아파트주상가)35.232255128.867489
7가-4316-1104영업중경일공인중개사사무소공인중개사이성업공인중개사2003-04-21055-342-7887경상남도 김해시 한림면 한림로 36435.319959128.802614
8가-4316-1107영업중땅끝마을부동산중개사무소공인중개사문영애공인중개사2003-04-22055-342-8979경상남도 김해시 진영읍 김해대로 5435.292824128.707959
9가-4316-1174영업중환영공인중개사사무소공인중개사박영자공인중개사2003-09-24055-331-4080경상남도 김해시 가락로 231, 7동 103호 (구산동, 시영아파트상가)35.245967128.8747
등록번호영업상태사무소명중개업소종별대표자중개업자구분등록일사무소전화번호사무소주소위도경도
132048250-2022-00117영업중브로공인중개사사무소공인중개사송호재공인중개사2022-09-23<NA>경상남도 김해시 내덕로 10235.206921128.819104
132148250-2022-00118영업중가빛부동산공인중개사사무소공인중개사황지민공인중개사2022-09-29055-321-4987경상남도 김해시 대동면 동남로 27735.25719129.000122
132248250-2022-00119영업중대박공인중개사사무소공인중개사박묘재공인중개사2022-09-30055-327-3500경상남도 김해시 가락로 344, 1층 (구산동)35.255469128.87089
132348250-2022-00120영업중황금손공인중개사사무소공인중개사하준호공인중개사2022-10-06<NA>경상남도 김해시 해반천로144번길 35-30, 금영프라자 102호 (삼계동)35.262659128.87122
132448250-2022-00121영업중1등부동산공인중개사사무소공인중개사박길훈공인중개사2022-10-11<NA>경상남도 김해시 금관대로1193번길 12, 1층 (외동)35.234371128.852592
132548250-2022-00122영업중참벗공인중개사사무소공인중개사서승기공인중개사2022-10-11<NA>경상남도 김해시 주촌면 서부로1701번길 195, 1층35.253306128.829845
1326가-4316-2204휴업Halla공인중개사사무소공인중개사박광수공인중개사2007-08-07055-326-0221경상남도 김해시 내외로 32-1(외동)35.235188128.860653
132748250-2017-00107휴업OK한림부동산공인중개사사무소공인중개사박진근공인중개사2012-09-04<NA>경상남도 김해시 진영읍 김해대로 256-135.305891128.719212
132848250-2021-00010휴업이지공인중개사사무소공인중개사이지숙공인중개사2021-01-15<NA>경상남도 김해시 무계로 63, 상가동 103호35.200824128.818284
132948250-2021-00180휴업오로라공인중개사사무소공인중개사이인숙공인중개사2021-11-30055-338-4585경상남도 김해시 주촌면 서부로 1421-135.224638128.818348