Overview

Dataset statistics

Number of variables13
Number of observations21
Missing cells34
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory113.1 B

Variable types

Categorical2
Text5
DateTime3
Numeric3

Dataset

Description경기도 가평군 공동주택시공현황 ( 시군명, 공사명, 공사시작일, 공사완료일, 시공사명, 시공사전화, 세대수, 입주예정일, 우편번호 등) 데이터 입니다.
Author경기도 가평군
URLhttps://www.data.go.kr/data/15029876/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공사완료일 has 5 (23.8%) missing valuesMissing
시공사전화번호 has 12 (57.1%) missing valuesMissing
입주예정일 has 15 (71.4%) missing valuesMissing
시공위치도로명주소 has 2 (9.5%) missing valuesMissing
공사명 has unique valuesUnique
시공위치지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:17:23.832259
Analysis finished2024-03-14 14:17:27.854589
Duration4.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
가평군
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 21
100.0%

Length

2024-03-14T23:17:28.054384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:17:28.377265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평군 21
100.0%

공사명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T23:17:29.016741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.3809524
Min length5

Characters and Unicode

Total characters155
Distinct characters66
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

Unique21 ?
Unique (%)100.0%

Sample

1st row송안아파트
2nd row송산리연립주택
3rd row가평선힐아파트
4th row가평우림필유아파트1단지
5th row로얄아파트
ValueCountFrequency (%)
청평 2
 
7.7%
송안아파트 1
 
3.8%
청평라폴리움 1
 
3.8%
힐스테이트아파트 1
 
3.8%
자이아파트 1
 
3.8%
이편한아파트 1
 
3.8%
센트럴파크 1
 
3.8%
가평코아루아파트 1
 
3.8%
블루핀아파트 1
 
3.8%
에스도르프 1
 
3.8%
Other values (15) 15
57.7%
2024-03-14T23:17:30.162288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 14
 
9.0%
파 14
 
9.0%
트 14
 
9.0%
평 10
 
6.5%
청 7
 
4.5%
이 6
 
3.9%
5
 
3.2%
르 4
 
2.6%
스 4
 
2.6%
가 4
 
2.6%
Other values (56) 73
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
96.1%
Space Separator 5
 
3.2%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 14
 
9.4%
파 14
 
9.4%
트 14
 
9.4%
평 10
 
6.7%
청 7
 
4.7%
이 6
 
4.0%
르 4
 
2.7%
스 4
 
2.7%
가 4
 
2.7%
리 3
 
2.0%
Other values (54) 69
46.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
96.1%
Common 6
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 14
 
9.4%
파 14
 
9.4%
트 14
 
9.4%
평 10
 
6.7%
청 7
 
4.7%
이 6
 
4.0%
르 4
 
2.7%
스 4
 
2.7%
가 4
 
2.7%
리 3
 
2.0%
Other values (54) 69
46.3%
Common
ValueCountFrequency (%)
5
83.3%
1 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
96.1%
ASCII 6
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 14
 
9.4%
파 14
 
9.4%
트 14
 
9.4%
평 10
 
6.7%
청 7
 
4.7%
이 6
 
4.0%
르 4
 
2.7%
스 4
 
2.7%
가 4
 
2.7%
리 3
 
2.0%
Other values (54) 69
46.3%
ASCII
ValueCountFrequency (%)
5
83.3%
1 1
 
16.7%

공사시작일
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum1991-07-30 00:00:00
Maximum2022-03-21 00:00:00
2024-03-14T23:17:30.525128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:30.878823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

공사완료일
Date

MISSING 

Distinct15
Distinct (%)93.8%
Missing5
Missing (%)23.8%
Memory size296.0 B
Minimum1992-07-01 00:00:00
Maximum2023-11-01 00:00:00
2024-03-14T23:17:31.203825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:31.546917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

시공사명
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T23:17:32.247065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length7.2380952
Min length4

Characters and Unicode

Total characters152
Distinct characters51
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row(주)유청건설
2nd row선원건설(주)
3rd row선힐종합건설(주)
4th row우림산업개발주식회사
5th row로얄주택건설주식회사
ValueCountFrequency (%)
선원건설(주 2
 
8.7%
주)유청건설 1
 
4.3%
현대건설 1
 
4.3%
지에스건설 1
 
4.3%
대림건설 1
 
4.3%
일군토건 1
 
4.3%
파인건설 1
 
4.3%
주)홍성건설 1
 
4.3%
상지건설(주 1
 
4.3%
지안스건설(주 1
 
4.3%
Other values (12) 12
52.2%
2024-03-14T23:17:33.371067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 17
 
11.2%
설 16
 
10.5%
주 16
 
10.5%
( 11
 
7.2%
) 11
 
7.2%
업 5
 
3.3%
선 4
 
2.6%
사 4
 
2.6%
식 4
 
2.6%
원 4
 
2.6%
Other values (41) 60
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
83.6%
Open Punctuation 11
 
7.2%
Close Punctuation 11
 
7.2%
Space Separator 2
 
1.3%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 17
 
13.4%
설 16
 
12.6%
주 16
 
12.6%
업 5
 
3.9%
선 4
 
3.1%
사 4
 
3.1%
식 4
 
3.1%
원 4
 
3.1%
회 4
 
3.1%
에 3
 
2.4%
Other values (37) 50
39.4%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
83.6%
Common 25
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 17
 
13.4%
설 16
 
12.6%
주 16
 
12.6%
업 5
 
3.9%
선 4
 
3.1%
사 4
 
3.1%
식 4
 
3.1%
원 4
 
3.1%
회 4
 
3.1%
에 3
 
2.4%
Other values (37) 50
39.4%
Common
ValueCountFrequency (%)
( 11
44.0%
) 11
44.0%
2
 
8.0%
. 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
83.6%
ASCII 25
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 17
 
13.4%
설 16
 
12.6%
주 16
 
12.6%
업 5
 
3.9%
선 4
 
3.1%
사 4
 
3.1%
식 4
 
3.1%
원 4
 
3.1%
회 4
 
3.1%
에 3
 
2.4%
Other values (37) 50
39.4%
ASCII
ValueCountFrequency (%)
( 11
44.0%
) 11
44.0%
2
 
8.0%
. 1
 
4.0%

시공사전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing12
Missing (%)57.1%
Memory size296.0 B
2024-03-14T23:17:33.944902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.555556
Min length11

Characters and Unicode

Total characters104
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

Unique9 ?
Unique (%)100.0%

Sample

1st row031-482-7322
2nd row02-3488-6771
3rd row02-721-5000
4th row02-598-1134
5th row02-2210-0500
ValueCountFrequency (%)
031-482-7322 1
11.1%
02-3488-6771 1
11.1%
02-721-5000 1
11.1%
02-598-1134 1
11.1%
02-2210-0500 1
11.1%
02-761-0600 1
11.1%
02-3457-7433 1
11.1%
043-833-9787 1
11.1%
02-517-5174 1
11.1%
2024-03-14T23:17:34.998623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
18.3%
- 18
17.3%
2 13
12.5%
7 11
10.6%
3 10
9.6%
1 9
8.7%
4 7
 
6.7%
8 6
 
5.8%
5 6
 
5.8%
6 3
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86
82.7%
Dash Punctuation 18
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
22.1%
2 13
15.1%
7 11
12.8%
3 10
11.6%
1 9
10.5%
4 7
 
8.1%
8 6
 
7.0%
5 6
 
7.0%
6 3
 
3.5%
9 2
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
18.3%
- 18
17.3%
2 13
12.5%
7 11
10.6%
3 10
9.6%
1 9
8.7%
4 7
 
6.7%
8 6
 
5.8%
5 6
 
5.8%
6 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
18.3%
- 18
17.3%
2 13
12.5%
7 11
10.6%
3 10
9.6%
1 9
8.7%
4 7
 
6.7%
8 6
 
5.8%
5 6
 
5.8%
6 3
 
2.9%

세대수
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221.66667
Minimum30
Maximum505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-14T23:17:35.517056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile32
Q176
median190
Q3283
95-th percentile504
Maximum505
Range475
Interquartile range (IQR)207

Descriptive statistics

Standard deviation160.28579
Coefficient of variation (CV)0.72309377
Kurtosis-0.81153978
Mean221.66667
Median Absolute Deviation (MAD)114
Skewness0.62022885
Sum4655
Variance25691.533
MonotonicityNot monotonic
2024-03-14T23:17:35.772663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
54 2
 
9.5%
243 2
 
9.5%
30 1
 
4.8%
504 1
 
4.8%
451 1
 
4.8%
505 1
 
4.8%
472 1
 
4.8%
168 1
 
4.8%
221 1
 
4.8%
119 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
30 1
4.8%
32 1
4.8%
48 1
4.8%
54 2
9.5%
76 1
4.8%
119 1
4.8%
160 1
4.8%
168 1
4.8%
180 1
4.8%
190 1
4.8%
ValueCountFrequency (%)
505 1
4.8%
504 1
4.8%
472 1
4.8%
451 1
4.8%
405 1
4.8%
283 1
4.8%
243 2
9.5%
221 1
4.8%
217 1
4.8%
190 1
4.8%

입주예정일
Date

MISSING 

Distinct5
Distinct (%)83.3%
Missing15
Missing (%)71.4%
Memory size296.0 B
Minimum2021-11-30 00:00:00
Maximum2024-11-30 00:00:00
2024-03-14T23:17:36.096920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:36.419402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

시공위치도로명주소
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing2
Missing (%)9.5%
Memory size296.0 B
2024-03-14T23:17:37.107643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.157895
Min length18

Characters and Unicode

Total characters383
Distinct characters49
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

Unique19 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 문화로 239
2nd row경기도 가평군 설악면 미사리로 238-50
3rd row경기도 가평군 가평읍 문화로 63
4th row경기도 가평군 가평읍 문화로 112
5th row경기도 가평군 청평면 구청평로 56
ValueCountFrequency (%)
경기도 19
20.0%
가평군 19
20.0%
가평읍 9
 
9.5%
문화로 5
 
5.3%
청평면 5
 
5.3%
설악면 5
 
5.3%
미사리로 2
 
2.1%
구청평로 2
 
2.1%
가화로 2
 
2.1%
226-57 1
 
1.1%
Other values (26) 26
27.4%
2024-03-14T23:17:37.998120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
19.8%
평 36
 
9.4%
가 31
 
8.1%
경 20
 
5.2%
도 19
 
5.0%
군 19
 
5.0%
기 19
 
5.0%
로 17
 
4.4%
2 13
 
3.4%
1 10
 
2.6%
Other values (39) 123
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
61.9%
Space Separator 76
 
19.8%
Decimal Number 63
 
16.4%
Dash Punctuation 7
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 36
15.2%
가 31
13.1%
경 20
 
8.4%
도 19
 
8.0%
군 19
 
8.0%
기 19
 
8.0%
로 17
 
7.2%
면 10
 
4.2%
읍 9
 
3.8%
청 7
 
3.0%
Other values (27) 50
21.1%
Decimal Number
ValueCountFrequency (%)
2 13
20.6%
1 10
15.9%
3 9
14.3%
5 6
9.5%
6 5
 
7.9%
4 5
 
7.9%
0 4
 
6.3%
7 4
 
6.3%
8 4
 
6.3%
9 3
 
4.8%
Space Separator
ValueCountFrequency (%)
76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
61.9%
Common 146
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 36
15.2%
가 31
13.1%
경 20
 
8.4%
도 19
 
8.0%
군 19
 
8.0%
기 19
 
8.0%
로 17
 
7.2%
면 10
 
4.2%
읍 9
 
3.8%
청 7
 
3.0%
Other values (27) 50
21.1%
Common
ValueCountFrequency (%)
76
52.1%
2 13
 
8.9%
1 10
 
6.8%
3 9
 
6.2%
- 7
 
4.8%
5 6
 
4.1%
6 5
 
3.4%
4 5
 
3.4%
0 4
 
2.7%
7 4
 
2.7%
Other values (2) 7
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
61.9%
ASCII 146
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
52.1%
2 13
 
8.9%
1 10
 
6.8%
3 9
 
6.2%
- 7
 
4.8%
5 6
 
4.1%
6 5
 
3.4%
4 5
 
3.4%
0 4
 
2.7%
7 4
 
2.7%
Other values (2) 7
 
4.8%
Hangul
ValueCountFrequency (%)
평 36
15.2%
가 31
13.1%
경 20
 
8.4%
도 19
 
8.0%
군 19
 
8.0%
기 19
 
8.0%
로 17
 
7.2%
면 10
 
4.2%
읍 9
 
3.8%
청 7
 
3.0%
Other values (27) 50
21.1%

시공위치지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T23:17:38.747102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length22.238095
Min length19

Characters and Unicode

Total characters467
Distinct characters39
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

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 읍내리 837-1
2nd row경기도 가평군 설악면 송산리 697
3rd row경기도 가평군 가평읍 대곡리 402-1
4th row경기도 가평군 가평읍 대곡리 360
5th row경기도 가평군 청평면 청평리 631-5
ValueCountFrequency (%)
경기도 21
19.1%
가평군 21
19.1%
가평읍 10
 
9.1%
읍내리 6
 
5.5%
설악면 6
 
5.5%
청평면 5
 
4.5%
청평리 5
 
4.5%
대곡리 4
 
3.6%
외11필지 2
 
1.8%
선촌리 2
 
1.8%
Other values (28) 28
25.5%
2024-03-14T23:17:39.867778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
19.1%
평 41
 
8.8%
가 31
 
6.6%
경 21
 
4.5%
도 21
 
4.5%
군 21
 
4.5%
리 21
 
4.5%
기 21
 
4.5%
읍 16
 
3.4%
- 14
 
3.0%
Other values (29) 171
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
59.7%
Space Separator 89
 
19.1%
Decimal Number 85
 
18.2%
Dash Punctuation 14
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 41
14.7%
가 31
11.1%
경 21
 
7.5%
도 21
 
7.5%
군 21
 
7.5%
리 21
 
7.5%
기 21
 
7.5%
읍 16
 
5.7%
면 11
 
3.9%
지 11
 
3.9%
Other values (17) 64
22.9%
Decimal Number
ValueCountFrequency (%)
1 14
16.5%
2 14
16.5%
7 11
12.9%
3 9
10.6%
6 8
9.4%
0 7
8.2%
4 7
8.2%
5 7
8.2%
9 4
 
4.7%
8 4
 
4.7%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
59.7%
Common 188
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 41
14.7%
가 31
11.1%
경 21
 
7.5%
도 21
 
7.5%
군 21
 
7.5%
리 21
 
7.5%
기 21
 
7.5%
읍 16
 
5.7%
면 11
 
3.9%
지 11
 
3.9%
Other values (17) 64
22.9%
Common
ValueCountFrequency (%)
89
47.3%
- 14
 
7.4%
1 14
 
7.4%
2 14
 
7.4%
7 11
 
5.9%
3 9
 
4.8%
6 8
 
4.3%
0 7
 
3.7%
4 7
 
3.7%
5 7
 
3.7%
Other values (2) 8
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
59.7%
ASCII 188
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
47.3%
- 14
 
7.4%
1 14
 
7.4%
2 14
 
7.4%
7 11
 
5.9%
3 9
 
4.8%
6 8
 
4.3%
0 7
 
3.7%
4 7
 
3.7%
5 7
 
3.7%
Other values (2) 8
 
4.3%
Hangul
ValueCountFrequency (%)
평 41
14.7%
가 31
11.1%
경 21
 
7.5%
도 21
 
7.5%
군 21
 
7.5%
리 21
 
7.5%
기 21
 
7.5%
읍 16
 
5.7%
면 11
 
3.9%
지 11
 
3.9%
Other values (17) 64
22.9%

위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.766125
Minimum37.668007
Maximum37.838045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-14T23:17:40.227564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.668007
5-th percentile37.676533
Q137.70691
median37.742596
Q337.831124
95-th percentile37.837673
Maximum37.838045
Range0.170038
Interquartile range (IQR)0.124214

Descriptive statistics

Standard deviation0.065636308
Coefficient of variation (CV)0.0017379678
Kurtosis-1.7924942
Mean37.766125
Median Absolute Deviation (MAD)0.074589
Skewness-0.16372487
Sum793.08863
Variance0.0043081249
MonotonicityNot monotonic
2024-03-14T23:17:40.610503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.834124 1
 
4.8%
37.685008 1
 
4.8%
37.676533 1
 
4.8%
37.837673 1
 
4.8%
37.821067 1
 
4.8%
37.827291 1
 
4.8%
37.831257 1
 
4.8%
37.831124 1
 
4.8%
37.837504 1
 
4.8%
37.668007 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
37.668007 1
4.8%
37.676533 1
4.8%
37.685008 1
4.8%
37.685333 1
4.8%
37.689947 1
4.8%
37.70691 1
4.8%
37.729446 1
4.8%
37.732396 1
4.8%
37.732848 1
4.8%
37.739726 1
4.8%
ValueCountFrequency (%)
37.838045 1
4.8%
37.837673 1
4.8%
37.837504 1
4.8%
37.834124 1
4.8%
37.831257 1
4.8%
37.831124 1
4.8%
37.827291 1
4.8%
37.823506 1
4.8%
37.821067 1
4.8%
37.818288 1
4.8%

경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.47841
Minimum127.4092
Maximum127.51436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-14T23:17:40.993849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.4092
5-th percentile127.41323
Q1127.44725
median127.50565
Q3127.50852
95-th percentile127.5122
Maximum127.51436
Range0.105156
Interquartile range (IQR)0.06127

Descriptive statistics

Standard deviation0.040543136
Coefficient of variation (CV)0.00031803924
Kurtosis-1.1595884
Mean127.47841
Median Absolute Deviation (MAD)0.006952
Skewness-0.82984157
Sum2677.0466
Variance0.0016437459
MonotonicityNot monotonic
2024-03-14T23:17:41.379251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
127.505648 1
 
4.8%
127.514358 1
 
4.8%
127.490173 1
 
4.8%
127.512133 1
 
4.8%
127.508521 1
 
4.8%
127.506667 1
 
4.8%
127.512205 1
 
4.8%
127.505659 1
 
4.8%
127.507808 1
 
4.8%
127.447251 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
127.409202 1
4.8%
127.413228 1
4.8%
127.415678 1
4.8%
127.416317 1
4.8%
127.42124 1
4.8%
127.447251 1
4.8%
127.449935 1
4.8%
127.485641 1
4.8%
127.490173 1
4.8%
127.498696 1
4.8%
ValueCountFrequency (%)
127.514358 1
4.8%
127.512205 1
4.8%
127.512133 1
4.8%
127.510442 1
4.8%
127.509442 1
4.8%
127.508521 1
4.8%
127.507808 1
4.8%
127.506667 1
4.8%
127.506319 1
4.8%
127.505659 1
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-02-14
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-14
2nd row2024-02-14
3rd row2024-02-14
4th row2024-02-14
5th row2024-02-14

Common Values

ValueCountFrequency (%)
2024-02-14 21
100.0%

Length

2024-03-14T23:17:41.761447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:17:41.980312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-14 21
100.0%

Interactions

2024-03-14T23:17:25.900553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:24.441236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:25.160587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:26.136655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:24.670588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:25.400279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:26.384018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:24.921467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:17:25.653903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:17:42.189576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공사명공사시작일공사완료일시공사명시공사전화번호세대수입주예정일시공위치도로명주소시공위치지번주소위도경도
공사명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공사시작일1.0001.0001.0000.9821.0000.6861.0001.0001.0001.0001.000
공사완료일1.0001.0001.0000.9721.0001.0001.0001.0001.0001.0001.000
시공사명1.0000.9820.9721.0001.0000.9391.0001.0001.0000.8110.000
시공사전화번호1.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.000
세대수1.0000.6861.0000.9391.0001.0001.0001.0001.0000.0000.000
입주예정일1.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.000
시공위치도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시공위치지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.8111.0000.0001.0001.0001.0001.0000.805
경도1.0001.0001.0000.0001.0000.0001.0001.0001.0000.8051.000
2024-03-14T23:17:42.512037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세대수위도경도
세대수1.0000.3010.099
위도0.3011.0000.458
경도0.0990.4581.000

Missing values

2024-03-14T23:17:26.741028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:17:27.303231image/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.
2024-03-14T23:17:27.676916image/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

시군명공사명공사시작일공사완료일시공사명시공사전화번호세대수입주예정일시공위치도로명주소시공위치지번주소위도경도데이터기준일자
0가평군송안아파트1991-07-301992-07(주)유청건설<NA>54<NA>경기도 가평군 가평읍 문화로 239경기도 가평군 가평읍 읍내리 837-137.834124127.5056482024-02-14
1가평군송산리연립주택2003-10-042003-12선원건설(주)<NA>76<NA>경기도 가평군 설악면 미사리로 238-50경기도 가평군 설악면 송산리 69737.685008127.5143582024-02-14
2가평군가평선힐아파트2003-11-142008-05선힐종합건설(주)031-482-7322180<NA>경기도 가평군 가평읍 문화로 63경기도 가평군 가평읍 대곡리 402-137.818288127.5104422024-02-14
3가평군가평우림필유아파트1단지2004-12-202006-12우림산업개발주식회사02-3488-6771190<NA>경기도 가평군 가평읍 문화로 112경기도 가평군 가평읍 대곡리 36037.823506127.5094422024-02-14
4가평군로얄아파트2005-05-112006-03로얄주택건설주식회사<NA>54<NA>경기도 가평군 청평면 구청평로 56경기도 가평군 청평면 청평리 631-537.732396127.4132282024-02-14
5가평군청평세양청마루아파트2005-05-252007-08세양건설산업(주)02-721-5000283<NA>경기도 가평군 청평면 경춘로 807-45경기도 가평군 청평면 청평리 47237.739726127.4163172024-02-14
6가평군가평에이원파란채아파트2005-06-092007-04에이원건설(주)02-598-1134243<NA>경기도 가평군 가평읍 가화로 223경기도 가평군 가평읍 읍내리 771-137.838045127.5063192024-02-14
7가평군청평 경남아너스빌2005-11-222008-06경남기업(주)02-2210-0500217<NA>경기도 가평군 청평면 골안길 7-28경기도 가평군 청평면 청평리 30637.742596127.421242024-02-14
8가평군르메이에르 청평빌라2005-12-012006-10르.메이에르 건설 주식회사02-761-060048<NA>경기도 가평군 설악면 유명로 2304-34경기도 가평군 설악면 회곡리 428-137.70691127.4499352024-02-14
9가평군선촌리 공동주택2007-07-262008-08선원건설(주)<NA>160<NA>경기도 가평군 설악면 미사리로 52-14경기도 가평군 설악면 선촌리 25-137.685333127.4986962024-02-14
시군명공사명공사시작일공사완료일시공사명시공사전화번호세대수입주예정일시공위치도로명주소시공위치지번주소위도경도데이터기준일자
11가평군청평삼성쉐르빌2007-11-29<NA>삼성중공업(주)02-3457-7433405<NA>경기도 가평군 청평면 강변나루로 54경기도 가평군 청평면 청평리 83737.732848127.4156782024-02-14
12가평군이안 지안스 청평2007-11-29<NA>지안스건설(주)043-833-9787243<NA>경기도 가평군 청평면 구청평로 20경기도 가평군 청평면 청평리 657-137.729446127.4092022024-02-14
13가평군에스도르프2010-01-122012-09상지건설(주)02-517-517430<NA>경기도 가평군 설악면 다락재로 226-57경기도 가평군 설악면 이천리 30437.668007127.4472512024-02-14
14가평군블루핀아파트2017-03-13<NA>(주)홍성건설<NA>119<NA>경기도 가평군 가평읍 가화로 219경기도 가평군 가평읍 읍내리 766-337.837504127.5078082024-02-14
15가평군가평코아루아파트2019-07-172021-11파인건설<NA>2212021-11-30<NA>경기도 가평군 가평읍 읍내리 870-2번지 외11필지37.831124127.5056592024-02-14
16가평군센트럴파크2020-06-262022-08일군토건<NA>1682022-08-15경기도 가평군 가평읍 보납로 11경기도 가평군 가평읍 읍내리 457-5번지37.831257127.5122052024-02-14
17가평군이편한아파트2020-10-202023-08대림건설<NA>4722023-08-31경기도 가평군 가평읍 문화로 167경기도 가평군 가평읍 대곡리 291-6번지 21필지37.827291127.5066672024-02-14
18가평군자이아파트2020-11-162023-08지에스건설<NA>5052023-08-31경기도 가평군 가평읍 문화로 91경기도 가평군 가평읍 대곡리 390-2번지 외11필지37.821067127.5085212024-02-14
19가평군힐스테이트아파트2021-05-112023-11현대건설<NA>4512023-11-30경기도 가평군 가평읍 가평제방길 233경기도 가평군 가평읍 읍내리 205번지 외24필지37.837673127.5121332024-02-14
20가평군디엘본아파트2022-03-21<NA>선원건설<NA>5042024-11-30<NA>경기도 가평군 설악면 신천리 산45-27번지 외3필지37.676533127.4901732024-02-14