Overview

Dataset statistics

Number of variables10
Number of observations300
Missing cells49
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.4 KiB
Average record size in memory83.4 B

Variable types

Numeric3
Text5
Categorical1
DateTime1

Dataset

Description서산시에서 허가된 부동산중개업소 현황에 대한 데이터로, 사업자상호, 소재지 도로명 주소, 중개업자명, 전화번호 등의 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=451&beforeMenuCd=DOM_000000201001001000&publicdatapk=15000665

Alerts

데이터기준일 has constant value ""Constant
운영상태 is highly imbalanced (94.3%)Imbalance
전화번호 has 49 (16.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:41:00.226603
Analysis finished2024-01-09 21:41:01.623106
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.5
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T06:41:01.694714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.95
Q175.75
median150.5
Q3225.25
95-th percentile285.05
Maximum300
Range299
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation86.746758
Coefficient of variation (CV)0.57639042
Kurtosis-1.2
Mean150.5
Median Absolute Deviation (MAD)75
Skewness0
Sum45150
Variance7525
MonotonicityStrictly increasing
2024-01-10T06:41:01.833215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
Other values (290) 290
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%

사업자상호
Text

Distinct299
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T06:41:02.016845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length11.413333
Min length9

Characters and Unicode

Total characters3424
Distinct characters272
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

Unique298 ?
Unique (%)99.3%

Sample

1st row권석범공인중개사사무소
2nd row해미공인중개사사무소
3rd row태산공인중개사사무소
4th row참사랑공인중개사사무소
5th row황금땅공인중개사사무소
ValueCountFrequency (%)
대명공인중개사사무소 2
 
0.7%
공인중개사사무소 2
 
0.7%
부동산중개인사무소 2
 
0.7%
라온공인중개사사무소 1
 
0.3%
꿈꾸는공인중개사사무소 1
 
0.3%
한성필소망공인중개사사무소 1
 
0.3%
서산라온단지내 1
 
0.3%
가장큰 1
 
0.3%
서산푸르지오더센트럴공인중개사사무소 1
 
0.3%
토마토공인중개사사무소 1
 
0.3%
Other values (293) 293
95.8%
2024-01-10T06:41:02.273163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 577
16.9%
중 306
 
8.9%
소 303
 
8.8%
개 300
 
8.8%
무 300
 
8.8%
인 295
 
8.6%
공 279
 
8.1%
산 77
 
2.2%
동 50
 
1.5%
부 44
 
1.3%
Other values (262) 893
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3390
99.0%
Uppercase Letter 12
 
0.4%
Lowercase Letter 8
 
0.2%
Decimal Number 7
 
0.2%
Space Separator 6
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 577
17.0%
중 306
 
9.0%
소 303
 
8.9%
개 300
 
8.8%
무 300
 
8.8%
인 295
 
8.7%
공 279
 
8.2%
산 77
 
2.3%
동 50
 
1.5%
부 44
 
1.3%
Other values (244) 859
25.3%
Uppercase Letter
ValueCountFrequency (%)
K 3
25.0%
O 2
16.7%
U 1
 
8.3%
T 1
 
8.3%
L 1
 
8.3%
G 1
 
8.3%
M 1
 
8.3%
S 1
 
8.3%
I 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
9 1
 
14.3%
5 1
 
14.3%
6 1
 
14.3%
3 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
87.5%
h 1
 
12.5%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3390
99.0%
Latin 20
 
0.6%
Common 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 577
17.0%
중 306
 
9.0%
소 303
 
8.9%
개 300
 
8.8%
무 300
 
8.8%
인 295
 
8.7%
공 279
 
8.2%
산 77
 
2.3%
동 50
 
1.5%
부 44
 
1.3%
Other values (244) 859
25.3%
Latin
ValueCountFrequency (%)
e 7
35.0%
K 3
15.0%
O 2
 
10.0%
U 1
 
5.0%
h 1
 
5.0%
T 1
 
5.0%
L 1
 
5.0%
G 1
 
5.0%
M 1
 
5.0%
S 1
 
5.0%
Common
ValueCountFrequency (%)
6
42.9%
1 3
21.4%
9 1
 
7.1%
- 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%
3 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3390
99.0%
ASCII 34
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 577
17.0%
중 306
 
9.0%
소 303
 
8.9%
개 300
 
8.8%
무 300
 
8.8%
인 295
 
8.7%
공 279
 
8.2%
산 77
 
2.3%
동 50
 
1.5%
부 44
 
1.3%
Other values (244) 859
25.3%
ASCII
ValueCountFrequency (%)
e 7
20.6%
6
17.6%
K 3
 
8.8%
1 3
 
8.8%
O 2
 
5.9%
9 1
 
2.9%
- 1
 
2.9%
U 1
 
2.9%
h 1
 
2.9%
T 1
 
2.9%
Other values (8) 8
23.5%

사업자등록일자
Text

Distinct271
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T06:41:02.473251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length10
Mean length10.05
Min length10

Characters and Unicode

Total characters3015
Distinct characters16
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique244 ?
Unique (%)81.3%

Sample

1st row1985-11-28
2nd row1993-05-22
3rd row1997-07-28
4th row1997-08-12
5th row1998-12-14
ValueCountFrequency (%)
2015-09-07 3
 
1.0%
1984-06-01 3
 
1.0%
1987-10-26 2
 
0.7%
2017-05-31 2
 
0.7%
2021-02-08 2
 
0.7%
2015-06-23 2
 
0.7%
2019-03-27 2
 
0.7%
2021-06-09 2
 
0.7%
2017-08-04 2
 
0.7%
2019-12-17 2
 
0.7%
Other values (262) 279
92.7%
2024-01-10T06:41:02.773631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 716
23.7%
- 602
20.0%
2 529
17.5%
1 519
17.2%
9 112
 
3.7%
8 105
 
3.5%
7 103
 
3.4%
5 84
 
2.8%
6 84
 
2.8%
4 83
 
2.8%
Other values (6) 78
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2408
79.9%
Dash Punctuation 602
 
20.0%
Other Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 716
29.7%
2 529
22.0%
1 519
21.6%
9 112
 
4.7%
8 105
 
4.4%
7 103
 
4.3%
5 84
 
3.5%
6 84
 
3.5%
4 83
 
3.4%
3 73
 
3.0%
Other Letter
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 602
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3013
99.9%
Hangul 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 716
23.8%
- 602
20.0%
2 529
17.6%
1 519
17.2%
9 112
 
3.7%
8 105
 
3.5%
7 103
 
3.4%
5 84
 
2.8%
6 84
 
2.8%
4 83
 
2.8%
Other values (4) 76
 
2.5%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3013
99.9%
Hangul 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 716
23.8%
- 602
20.0%
2 529
17.6%
1 519
17.2%
9 112
 
3.7%
8 105
 
3.5%
7 103
 
3.4%
5 84
 
2.8%
6 84
 
2.8%
4 83
 
2.8%
Other values (4) 76
 
2.5%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%

소재지 도로명주소
Text

Distinct276
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T06:41:03.041565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length25.073333
Min length15

Characters and Unicode

Total characters7522
Distinct characters164
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

Unique253 ?
Unique (%)84.3%

Sample

1st row충청남도 서산시 대산읍 충의로 1942, 118호 (대산종합시장)
2nd row충청남도 서산시 해미면 남문5로 16
3rd row충청남도 서산시 서해로 3457(석림동)
4th row충청남도 서산시 서해로 3577, D동 113호(잠홍동)
5th row충청남도 서산시 지곡면 충의로 1103
ValueCountFrequency (%)
서산시 300
19.9%
충청남도 292
 
19.4%
상가동 30
 
2.0%
대산읍 27
 
1.8%
고운로 25
 
1.7%
동서1로 19
 
1.3%
안견로 18
 
1.2%
충의로 18
 
1.2%
성연면 17
 
1.1%
서해로 13
 
0.9%
Other values (415) 745
49.5%
2024-01-10T06:41:03.418325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1204
 
16.0%
1 356
 
4.7%
서 351
 
4.7%
동 343
 
4.6%
산 341
 
4.5%
남 319
 
4.2%
충 312
 
4.1%
시 306
 
4.1%
도 295
 
3.9%
청 292
 
3.9%
Other values (154) 3403
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4403
58.5%
Decimal Number 1321
 
17.6%
Space Separator 1204
 
16.0%
Open Punctuation 210
 
2.8%
Close Punctuation 210
 
2.8%
Other Punctuation 123
 
1.6%
Dash Punctuation 44
 
0.6%
Uppercase Letter 6
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 351
 
8.0%
동 343
 
7.8%
산 341
 
7.7%
남 319
 
7.2%
충 312
 
7.1%
시 306
 
6.9%
도 295
 
6.7%
청 292
 
6.6%
로 284
 
6.5%
호 112
 
2.5%
Other values (133) 1448
32.9%
Decimal Number
ValueCountFrequency (%)
1 356
26.9%
2 189
14.3%
0 146
11.1%
3 131
 
9.9%
7 109
 
8.3%
6 94
 
7.1%
5 93
 
7.0%
4 84
 
6.4%
9 62
 
4.7%
8 57
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
D 2
33.3%
A 1
16.7%
F 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 122
99.2%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4403
58.5%
Common 3112
41.4%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 351
 
8.0%
동 343
 
7.8%
산 341
 
7.7%
남 319
 
7.2%
충 312
 
7.1%
시 306
 
6.9%
도 295
 
6.7%
청 292
 
6.6%
로 284
 
6.5%
호 112
 
2.5%
Other values (133) 1448
32.9%
Common
ValueCountFrequency (%)
1204
38.7%
1 356
 
11.4%
( 210
 
6.7%
) 210
 
6.7%
2 189
 
6.1%
0 146
 
4.7%
3 131
 
4.2%
, 122
 
3.9%
7 109
 
3.5%
6 94
 
3.0%
Other values (6) 341
 
11.0%
Latin
ValueCountFrequency (%)
B 2
28.6%
D 2
28.6%
A 1
14.3%
e 1
14.3%
F 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4403
58.5%
ASCII 3119
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1204
38.6%
1 356
 
11.4%
( 210
 
6.7%
) 210
 
6.7%
2 189
 
6.1%
0 146
 
4.7%
3 131
 
4.2%
, 122
 
3.9%
7 109
 
3.5%
6 94
 
3.0%
Other values (11) 348
 
11.2%
Hangul
ValueCountFrequency (%)
서 351
 
8.0%
동 343
 
7.8%
산 341
 
7.7%
남 319
 
7.2%
충 312
 
7.1%
시 306
 
6.9%
도 295
 
6.7%
청 292
 
6.6%
로 284
 
6.5%
호 112
 
2.5%
Other values (133) 1448
32.9%

대표자
Text

Distinct298
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T06:41:03.681528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9966667
Min length2

Characters and Unicode

Total characters899
Distinct characters150
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

Unique296 ?
Unique (%)98.7%

Sample

1st row권석범
2nd row노석민
3rd row유기호
4th row안희순
5th row진흥업
ValueCountFrequency (%)
최유정 2
 
0.7%
조은희 2
 
0.7%
김기복 1
 
0.3%
이재영 1
 
0.3%
권석범 1
 
0.3%
류종국 1
 
0.3%
강지윤 1
 
0.3%
안병구 1
 
0.3%
정홍점 1
 
0.3%
조은채 1
 
0.3%
Other values (288) 288
96.0%
2024-01-10T06:41:04.045867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 63
 
7.0%
이 45
 
5.0%
정 38
 
4.2%
영 25
 
2.8%
희 22
 
2.4%
박 22
 
2.4%
은 18
 
2.0%
최 17
 
1.9%
유 17
 
1.9%
경 17
 
1.9%
Other values (140) 615
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 63
 
7.0%
이 45
 
5.0%
정 38
 
4.2%
영 25
 
2.8%
희 22
 
2.4%
박 22
 
2.4%
은 18
 
2.0%
최 17
 
1.9%
유 17
 
1.9%
경 17
 
1.9%
Other values (140) 615
68.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 63
 
7.0%
이 45
 
5.0%
정 38
 
4.2%
영 25
 
2.8%
희 22
 
2.4%
박 22
 
2.4%
은 18
 
2.0%
최 17
 
1.9%
유 17
 
1.9%
경 17
 
1.9%
Other values (140) 615
68.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 63
 
7.0%
이 45
 
5.0%
정 38
 
4.2%
영 25
 
2.8%
희 22
 
2.4%
박 22
 
2.4%
은 18
 
2.0%
최 17
 
1.9%
유 17
 
1.9%
경 17
 
1.9%
Other values (140) 615
68.4%

전화번호
Text

MISSING 

Distinct250
Distinct (%)99.6%
Missing49
Missing (%)16.3%
Memory size2.5 KiB
2024-01-10T06:41:04.241170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.047809
Min length9

Characters and Unicode

Total characters3024
Distinct characters13
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

Unique249 ?
Unique (%)99.2%

Sample

1st row041-663-8612
2nd row041-688-4440
3rd row041-681-9119
4th row041-664-8877
5th row041-669-8836
ValueCountFrequency (%)
041-669-2023 2
 
0.8%
041-664-8946 2
 
0.8%
041-666-7799 1
 
0.4%
041-664-0102 1
 
0.4%
041-663-9474 1
 
0.4%
041-663-8612 1
 
0.4%
041-669-6268 1
 
0.4%
041-668-0049 1
 
0.4%
041-667-8611 1
 
0.4%
041-665-8545 1
 
0.4%
Other values (240) 240
95.2%
2024-01-10T06:41:04.536313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 566
18.7%
- 503
16.6%
0 405
13.4%
4 384
12.7%
1 367
12.1%
8 219
 
7.2%
9 145
 
4.8%
5 117
 
3.9%
2 114
 
3.8%
7 108
 
3.6%
Other values (3) 96
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2519
83.3%
Dash Punctuation 503
 
16.6%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 566
22.5%
0 405
16.1%
4 384
15.2%
1 367
14.6%
8 219
 
8.7%
9 145
 
5.8%
5 117
 
4.6%
2 114
 
4.5%
7 108
 
4.3%
3 94
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 503
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 566
18.7%
- 503
16.6%
0 405
13.4%
4 384
12.7%
1 367
12.1%
8 219
 
7.2%
9 145
 
4.8%
5 117
 
3.9%
2 114
 
3.8%
7 108
 
3.6%
Other values (3) 96
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 566
18.7%
- 503
16.6%
0 405
13.4%
4 384
12.7%
1 367
12.1%
8 219
 
7.2%
9 145
 
4.8%
5 117
 
3.9%
2 114
 
3.8%
7 108
 
3.6%
Other values (3) 96
 
3.2%

운영상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
297 
휴업
 
2
폐업
 
1

Length

Max length3
Median length3
Mean length2.99
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 297
99.0%
휴업 2
 
0.7%
폐업 1
 
0.3%

Length

2024-01-10T06:41:04.647251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:41:04.721743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 297
99.0%
휴업 2
 
0.7%
폐업 1
 
0.3%

위도(WGS84좌표)
Real number (ℝ)

Distinct240
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.79396
Minimum36.627141
Maximum36.989536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T06:41:04.806751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.627141
5-th percentile36.74018
Q136.769898
median36.777772
Q336.787667
95-th percentile36.93917
Maximum36.989536
Range0.36239537
Interquartile range (IQR)0.017769032

Descriptive statistics

Standard deviation0.056269622
Coefficient of variation (CV)0.0015293168
Kurtosis3.1101963
Mean36.79396
Median Absolute Deviation (MAD)0.008555725
Skewness1.6198853
Sum11038.188
Variance0.0031662704
MonotonicityNot monotonic
2024-01-10T06:41:04.919564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.93800404 5
 
1.7%
36.78156789 5
 
1.7%
36.8261802 4
 
1.3%
36.76384642 4
 
1.3%
36.84281505 4
 
1.3%
36.82432947 3
 
1.0%
36.78587728 3
 
1.0%
36.77074427 3
 
1.0%
36.76866508 3
 
1.0%
36.7467263 3
 
1.0%
Other values (230) 263
87.7%
ValueCountFrequency (%)
36.62714087 1
0.3%
36.66701955 1
0.3%
36.6902651 1
0.3%
36.69030402 1
0.3%
36.7020321 2
0.7%
36.70771381 1
0.3%
36.70871226 1
0.3%
36.70931169 1
0.3%
36.71219583 2
0.7%
36.71252047 1
0.3%
ValueCountFrequency (%)
36.98953624 2
0.7%
36.97065795 1
0.3%
36.96951364 1
0.3%
36.96912503 1
0.3%
36.96723992 1
0.3%
36.94743878 1
0.3%
36.94021369 1
0.3%
36.93998922 2
0.7%
36.93960542 1
0.3%
36.93950336 1
0.3%

경도(WGS84좌표)
Real number (ℝ)

Distinct239
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.45774
Minimum126.35719
Maximum126.58146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T06:41:05.048649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.35719
5-th percentile126.42738
Q1126.44515
median126.45229
Q3126.4626
95-th percentile126.54387
Maximum126.58146
Range0.2242687
Interquartile range (IQR)0.017451925

Descriptive statistics

Standard deviation0.031564778
Coefficient of variation (CV)0.00024960732
Kurtosis5.4541055
Mean126.45774
Median Absolute Deviation (MAD)0.0092293
Skewness1.7762229
Sum37937.323
Variance0.00099633521
MonotonicityNot monotonic
2024-01-10T06:41:05.190722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4339397 5
 
1.7%
126.470162 5
 
1.7%
126.4485279 4
 
1.3%
126.4484825 4
 
1.3%
126.4522917 4
 
1.3%
126.4563639 3
 
1.0%
126.444765 3
 
1.0%
126.4367633 3
 
1.0%
126.457672 3
 
1.0%
126.4475182 3
 
1.0%
Other values (229) 263
87.7%
ValueCountFrequency (%)
126.3571881 1
0.3%
126.3655779 1
0.3%
126.3733134 1
0.3%
126.3946422 1
0.3%
126.3966969 1
0.3%
126.4076423 1
0.3%
126.4093497 1
0.3%
126.4114516 1
0.3%
126.4119043 1
0.3%
126.4232007 1
0.3%
ValueCountFrequency (%)
126.5814568 1
0.3%
126.5810381 1
0.3%
126.5806741 1
0.3%
126.5794103 1
0.3%
126.5771605 1
0.3%
126.5761653 1
0.3%
126.5665797 1
0.3%
126.5517254 1
0.3%
126.5500951 1
0.3%
126.5461062 1
0.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2021-11-30 00:00:00
Maximum2021-11-30 00:00:00
2024-01-10T06:41:05.296321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:05.387381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:41:01.130823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:00.672122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:00.876708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:01.214772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:00.739466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:00.950812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:01.305336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:00.812667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:01.040895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:41:05.456194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영상태위도(WGS84좌표)경도(WGS84좌표)
연번1.0000.2060.1780.167
운영상태0.2061.0000.4010.333
위도(WGS84좌표)0.1780.4011.0000.791
경도(WGS84좌표)0.1670.3330.7911.000
2024-01-10T06:41:05.550963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도(WGS84좌표)경도(WGS84좌표)운영상태
연번1.0000.039-0.0680.123
위도(WGS84좌표)0.0391.000-0.1860.191
경도(WGS84좌표)-0.068-0.1861.0000.209
운영상태0.1230.1910.2091.000

Missing values

2024-01-10T06:41:01.419755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:41:01.565645image/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

연번사업자상호사업자등록일자소재지 도로명주소대표자전화번호운영상태위도(WGS84좌표)경도(WGS84좌표)데이터기준일
01권석범공인중개사사무소1985-11-28충청남도 서산시 대산읍 충의로 1942, 118호 (대산종합시장)권석범041-663-8612영업중36.938004126.433942021-11-30
12해미공인중개사사무소1993-05-22충청남도 서산시 해미면 남문5로 16노석민041-688-4440영업중36.712196126.5438742021-11-30
23태산공인중개사사무소1997-07-28충청남도 서산시 서해로 3457(석림동)유기호041-681-9119영업중36.772899126.4610712021-11-30
34참사랑공인중개사사무소1997-08-12충청남도 서산시 서해로 3577, D동 113호(잠홍동)안희순041-664-8877영업중36.781568126.4701622021-11-30
45황금땅공인중개사사무소1998-12-14충청남도 서산시 지곡면 충의로 1103진흥업041-669-8836영업중36.866861126.4337552021-11-30
56서해공인중개사사무소2000-04-17충청남도 서산시 안견로 312(읍내동)김우진041-664-8114영업중36.777491126.4489372021-11-30
67한서공인중개사사무소2000-12-13충청남도 서산시 해미면 한티로 323김순철041-688-0290영업중36.690265126.5761652021-11-30
78금강공인중개사사무소2001-07-10충청남도 서산시 고운로 205(동문동)이덕선041-668-4211영업중36.783757126.4582662021-11-30
89푸르지오여성공인중개사사무소2002-09-02충청남도 서산시 호수공원11로 11, 상가동 105호 (예천동, 예천푸르지오아파트)김화순041-669-4810영업중36.773015126.4470782021-11-30
910부국공인중개사사무소1997-04-12충청남도 서산시 고운로 361(잠홍동)양인선041-665-6609영업중36.785931126.4745232021-11-30
연번사업자상호사업자등록일자소재지 도로명주소대표자전화번호운영상태위도(WGS84좌표)경도(WGS84좌표)데이터기준일
290291석남부동산중개인사무소1984-06-01충청남도 서산시 남원1길 107(석남동)한길우041-664-3505영업중36.761436126.4547032021-11-30
291292삼익부동산중개인사무소1986-02-15충청남도 서산시 잠곡1로 3(잠홍동)임규남041-675-5149영업중36.78611126.4758532021-11-30
292293부동산일일사부동산중개사무소1986-03-06충청남도 서산시 한마음15로 26(석림동)김상권<NA>영업중36.774012126.459292021-11-30
293294명성부동산중개인사무소1986-07-30충청남도 서산시 안견로 190(동문동)정각순041-667-9737영업중36.781881126.4581472021-11-30
294295이삭부동산중개인사무소1987-10-26충청남도 서산시 지곡면 충의로 1083한상운<NA>영업중36.865081126.4327372021-11-30
295296영동 부동산중개인사무소1987-10-22충청남도 서산시 대사동10로 36-9(동문동)김영두041-666-3003영업중36.784968126.4591832021-11-30
296297동남부동산중개인사무소1987-10-26충청남도 서산시 고운로 199(동문동)임석순041-665-2280영업중36.783711126.4574722021-11-30
297298에코부동산중개인사무소2007-06-11충청남도 서산시 성연면 성연1로 12서성원041-668-1515영업중36.827973126.4450052021-11-30
298299영진공인중개사사무소2014-04-21충청남도 서산시 해미면 남문2로 92이철용041-688-4982휴업36.714312126.5430282021-11-30
299300탑공인중개사사무소2008-11-19충청남도 서산시 대산읍 명지2로 213김창돈041-669-9600휴업36.96724126.4119042021-11-30