Overview

Dataset statistics

Number of variables9
Number of observations1136
Missing cells0
Missing cells (%)0.0%
Duplicate rows33
Duplicate rows (%)2.9%
Total size in memory82.2 KiB
Average record size in memory74.1 B

Variable types

Categorical2
Text4
DateTime1
Numeric2

Dataset

Description경기도 고양시 덕양구,일산동구,일산서구 내 건축 허가 및 신고 중 착공신고 되어있는 현황 안내입니다. 건축사 사무소 별 현황입니다
Author경기도 고양시
URLhttps://www.data.go.kr/data/15127180/fileData.do

Alerts

시군명 has constant value ""Constant
Dataset has 33 (2.9%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-23 04:01:55.322397
Analysis finished2024-03-23 04:01:59.297450
Duration3.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
고양시
1136 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 1136
100.0%

Length

2024-03-23T04:01:59.492725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:01:59.777154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 1136
100.0%

설계사무소명
Text

Distinct364
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-23T04:02:00.233970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length10.199824
Min length3

Characters and Unicode

Total characters11587
Distinct characters245
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

Unique228 ?
Unique (%)20.1%

Sample

1st row한덕건축사사무소
2nd row건인건축사사무소
3rd row공간누리건축사사무소
4th row명도건축사사무소
5th row건축사사무소 틈
ValueCountFrequency (%)
건축사사무소 148
 
10.7%
감성건축사사무소 56
 
4.0%
주식회사 54
 
3.9%
한덕건축사사무소 36
 
2.6%
틈 31
 
2.2%
인화 29
 
2.1%
장원건축사사무소 28
 
2.0%
김상기건축사사무소 24
 
1.7%
이오건축사사무소 21
 
1.5%
주)티에이종합건축사사무소 20
 
1.4%
Other values (365) 940
67.8%
2024-03-23T04:02:01.295838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2349
20.3%
건 1230
 
10.6%
축 1201
 
10.4%
무 1155
 
10.0%
소 1132
 
9.8%
주 389
 
3.4%
( 299
 
2.6%
) 298
 
2.6%
252
 
2.2%
종 202
 
1.7%
Other values (235) 3080
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10673
92.1%
Open Punctuation 299
 
2.6%
Close Punctuation 298
 
2.6%
Space Separator 252
 
2.2%
Uppercase Letter 47
 
0.4%
Lowercase Letter 9
 
0.1%
Decimal Number 5
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2349
22.0%
건 1230
11.5%
축 1201
11.3%
무 1155
10.8%
소 1132
10.6%
주 389
 
3.6%
종 202
 
1.9%
합 187
 
1.8%
이 157
 
1.5%
인 133
 
1.2%
Other values (207) 2538
23.8%
Uppercase Letter
ValueCountFrequency (%)
A 14
29.8%
G 9
19.1%
T 5
 
10.6%
K 3
 
6.4%
D 2
 
4.3%
N 2
 
4.3%
S 2
 
4.3%
L 1
 
2.1%
W 1
 
2.1%
P 1
 
2.1%
Other values (7) 7
14.9%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
2 1
20.0%
1 1
20.0%
6 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
h 4
44.4%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Space Separator
ValueCountFrequency (%)
252
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10673
92.1%
Common 858
 
7.4%
Latin 56
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2349
22.0%
건 1230
11.5%
축 1201
11.3%
무 1155
10.8%
소 1132
10.6%
주 389
 
3.6%
종 202
 
1.9%
합 187
 
1.8%
이 157
 
1.5%
인 133
 
1.2%
Other values (207) 2538
23.8%
Latin
ValueCountFrequency (%)
A 14
25.0%
G 9
16.1%
e 5
 
8.9%
T 5
 
8.9%
h 4
 
7.1%
K 3
 
5.4%
D 2
 
3.6%
N 2
 
3.6%
S 2
 
3.6%
L 1
 
1.8%
Other values (9) 9
16.1%
Common
ValueCountFrequency (%)
( 299
34.8%
) 298
34.7%
252
29.4%
. 3
 
0.3%
0 2
 
0.2%
+ 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10673
92.1%
ASCII 914
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2349
22.0%
건 1230
11.5%
축 1201
11.3%
무 1155
10.8%
소 1132
10.6%
주 389
 
3.6%
종 202
 
1.9%
합 187
 
1.8%
이 157
 
1.5%
인 133
 
1.2%
Other values (207) 2538
23.8%
ASCII
ValueCountFrequency (%)
( 299
32.7%
) 298
32.6%
252
27.6%
A 14
 
1.5%
G 9
 
1.0%
e 5
 
0.5%
T 5
 
0.5%
h 4
 
0.4%
K 3
 
0.3%
. 3
 
0.3%
Other values (18) 22
 
2.4%

신고일
Date

Distinct620
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2018-01-17 00:00:00
Maximum2024-06-30 00:00:00
2024-03-23T04:02:01.808994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:02:02.232028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공 신고지 도로명주소
Text

Distinct462
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-23T04:02:03.053223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length8
Mean length14.583627
Min length8

Characters and Unicode

Total characters16567
Distinct characters151
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

Unique423 ?
Unique (%)37.2%

Sample

1st row도로명주소 없음
2nd row경기도 고양시 덕양구 대장길 12-5
3rd row경기도 고양시 덕양구 토당로 12
4th row도로명주소 없음
5th row도로명주소 없음
ValueCountFrequency (%)
도로명주소 619
16.2%
없음 619
16.2%
경기도 517
13.5%
고양시 517
13.5%
덕양구 255
 
6.7%
일산동구 196
 
5.1%
일산서구 66
 
1.7%
지영로148번길 23
 
0.6%
호국로 17
 
0.4%
고양대로 12
 
0.3%
Other values (628) 982
25.7%
2024-03-23T04:02:04.211608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2687
 
16.2%
도 1148
 
6.9%
로 1043
 
6.3%
양 797
 
4.8%
주 631
 
3.8%
음 624
 
3.8%
명 621
 
3.7%
소 621
 
3.7%
없 619
 
3.7%
고 573
 
3.5%
Other values (141) 7203
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11345
68.5%
Space Separator 2687
 
16.2%
Decimal Number 2298
 
13.9%
Dash Punctuation 237
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1148
 
10.1%
로 1043
 
9.2%
양 797
 
7.0%
주 631
 
5.6%
음 624
 
5.5%
명 621
 
5.5%
소 621
 
5.5%
없 619
 
5.5%
고 573
 
5.1%
경 524
 
4.6%
Other values (129) 4144
36.5%
Decimal Number
ValueCountFrequency (%)
1 479
20.8%
2 304
13.2%
4 229
10.0%
6 226
9.8%
3 224
9.7%
7 189
 
8.2%
0 183
 
8.0%
5 170
 
7.4%
8 160
 
7.0%
9 134
 
5.8%
Space Separator
ValueCountFrequency (%)
2687
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11345
68.5%
Common 5222
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1148
 
10.1%
로 1043
 
9.2%
양 797
 
7.0%
주 631
 
5.6%
음 624
 
5.5%
명 621
 
5.5%
소 621
 
5.5%
없 619
 
5.5%
고 573
 
5.1%
경 524
 
4.6%
Other values (129) 4144
36.5%
Common
ValueCountFrequency (%)
2687
51.5%
1 479
 
9.2%
2 304
 
5.8%
- 237
 
4.5%
4 229
 
4.4%
6 226
 
4.3%
3 224
 
4.3%
7 189
 
3.6%
0 183
 
3.5%
5 170
 
3.3%
Other values (2) 294
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11345
68.5%
ASCII 5222
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2687
51.5%
1 479
 
9.2%
2 304
 
5.8%
- 237
 
4.5%
4 229
 
4.4%
6 226
 
4.3%
3 224
 
4.3%
7 189
 
3.6%
0 183
 
3.5%
5 170
 
3.3%
Other values (2) 294
 
5.6%
Hangul
ValueCountFrequency (%)
도 1148
 
10.1%
로 1043
 
9.2%
양 797
 
7.0%
주 631
 
5.6%
음 624
 
5.5%
명 621
 
5.5%
소 621
 
5.5%
없 619
 
5.5%
고 573
 
5.1%
경 524
 
4.6%
Other values (129) 4144
36.5%

착공 신고지 지번주소
Text

Distinct1043
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-23T04:02:04.730270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length23.489437
Min length17

Characters and Unicode

Total characters26684
Distinct characters121
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

Unique975 ?
Unique (%)85.8%

Sample

1st row경기도 고양시 덕양구 향동동 14-2
2nd row경기도 고양시 덕양구 대장동 308-2
3rd row경기도 고양시 덕양구 토당동 869-6
4th row경기도 고양시 덕양구 화전동 647-7
5th row경기도 고양시 덕양구 대자동 103-16 외1필지
ValueCountFrequency (%)
경기도 1136
18.4%
고양시 1136
18.4%
덕양구 602
 
9.7%
일산동구 412
 
6.7%
외1필지 212
 
3.4%
일산서구 122
 
2.0%
내유동 119
 
1.9%
성석동 117
 
1.9%
설문동 76
 
1.2%
외2필지 68
 
1.1%
Other values (1082) 2182
35.3%
2024-03-23T04:02:05.904137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5048
18.9%
양 1778
 
6.7%
동 1593
 
6.0%
구 1185
 
4.4%
고 1176
 
4.4%
도 1153
 
4.3%
시 1147
 
4.3%
경 1136
 
4.3%
기 1136
 
4.3%
1 1115
 
4.2%
Other values (111) 10217
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15704
58.9%
Space Separator 5048
 
18.9%
Decimal Number 5033
 
18.9%
Dash Punctuation 872
 
3.3%
Uppercase Letter 15
 
0.1%
Other Punctuation 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 1778
11.3%
동 1593
 
10.1%
구 1185
 
7.5%
고 1176
 
7.5%
도 1153
 
7.3%
시 1147
 
7.3%
경 1136
 
7.2%
기 1136
 
7.2%
산 684
 
4.4%
덕 670
 
4.3%
Other values (88) 4046
25.8%
Decimal Number
ValueCountFrequency (%)
1 1115
22.2%
2 755
15.0%
3 540
10.7%
7 473
9.4%
4 436
 
8.7%
6 422
 
8.4%
5 384
 
7.6%
9 317
 
6.3%
0 299
 
5.9%
8 292
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
26.7%
R 4
26.7%
C 3
20.0%
L 3
20.0%
E 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
: 1
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
r 1
50.0%
Space Separator
ValueCountFrequency (%)
5048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15704
58.9%
Common 10963
41.1%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 1778
11.3%
동 1593
 
10.1%
구 1185
 
7.5%
고 1176
 
7.5%
도 1153
 
7.3%
시 1147
 
7.3%
경 1136
 
7.2%
기 1136
 
7.2%
산 684
 
4.4%
덕 670
 
4.3%
Other values (88) 4046
25.8%
Common
ValueCountFrequency (%)
5048
46.0%
1 1115
 
10.2%
- 872
 
8.0%
2 755
 
6.9%
3 540
 
4.9%
7 473
 
4.3%
4 436
 
4.0%
6 422
 
3.8%
5 384
 
3.5%
9 317
 
2.9%
Other values (6) 601
 
5.5%
Latin
ValueCountFrequency (%)
B 4
23.5%
R 4
23.5%
C 3
17.6%
L 3
17.6%
c 1
 
5.9%
r 1
 
5.9%
E 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15704
58.9%
ASCII 10980
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5048
46.0%
1 1115
 
10.2%
- 872
 
7.9%
2 755
 
6.9%
3 540
 
4.9%
7 473
 
4.3%
4 436
 
4.0%
6 422
 
3.8%
5 384
 
3.5%
9 317
 
2.9%
Other values (13) 618
 
5.6%
Hangul
ValueCountFrequency (%)
양 1778
11.3%
동 1593
 
10.1%
구 1185
 
7.5%
고 1176
 
7.5%
도 1153
 
7.3%
시 1147
 
7.3%
경 1136
 
7.2%
기 1136
 
7.2%
산 684
 
4.4%
덕 670
 
4.3%
Other values (88) 4046
25.8%

시공사명
Text

Distinct397
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-23T04:02:06.854865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length6.8195423
Min length4

Characters and Unicode

Total characters7747
Distinct characters241
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)28.5%

Sample

1st row(주)운영종합건설
2nd row(주)덕유종합건설
3rd row건축주직영
4th row건축주직영
5th row주호종합건설주식회사
ValueCountFrequency (%)
건축주직영 593
49.9%
주식회사 51
 
4.3%
태원건설산업(주 11
 
0.9%
일진종합건설(주 9
 
0.8%
동연종합건설(주 8
 
0.7%
소현종합건설(주 8
 
0.7%
주)토담건설 7
 
0.6%
유니크종합건설(주 6
 
0.5%
주)다움종합건설 6
 
0.5%
주)유성종합건설 5
 
0.4%
Other values (389) 484
40.7%
2024-03-23T04:02:08.074092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1130
14.6%
건 1018
13.1%
영 599
 
7.7%
축 597
 
7.7%
직 593
 
7.7%
설 413
 
5.3%
( 399
 
5.2%
) 399
 
5.2%
종 252
 
3.3%
합 252
 
3.3%
Other values (231) 2095
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6893
89.0%
Open Punctuation 399
 
5.2%
Close Punctuation 399
 
5.2%
Space Separator 54
 
0.7%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1130
16.4%
건 1018
14.8%
영 599
 
8.7%
축 597
 
8.7%
직 593
 
8.6%
설 413
 
6.0%
종 252
 
3.7%
합 252
 
3.7%
사 138
 
2.0%
회 135
 
2.0%
Other values (226) 1766
25.6%
Open Punctuation
ValueCountFrequency (%)
( 399
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6894
89.0%
Common 853
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1130
16.4%
건 1018
14.8%
영 599
 
8.7%
축 597
 
8.7%
직 593
 
8.6%
설 413
 
6.0%
종 252
 
3.7%
합 252
 
3.7%
사 138
 
2.0%
회 135
 
2.0%
Other values (227) 1767
25.6%
Common
ValueCountFrequency (%)
( 399
46.8%
) 399
46.8%
54
 
6.3%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6893
89.0%
ASCII 853
 
11.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1130
16.4%
건 1018
14.8%
영 599
 
8.7%
축 597
 
8.7%
직 593
 
8.6%
설 413
 
6.0%
종 252
 
3.7%
합 252
 
3.7%
사 138
 
2.0%
회 135
 
2.0%
Other values (226) 1766
25.6%
ASCII
ValueCountFrequency (%)
( 399
46.8%
) 399
46.8%
54
 
6.3%
/ 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

착공 용도
Categorical

Distinct27
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
제1종근린생활시설
351 
단독주택
260 
제2종근린생활시설
181 
업무시설
60 
교정및군사시설
55 
Other values (22)
229 

Length

Max length10
Median length9
Mean length6.7244718
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row제2종근린생활시설
2nd row공동주택
3rd row단독주택
4th row창고시설
5th row제2종근린생활시설

Common Values

ValueCountFrequency (%)
제1종근린생활시설 351
30.9%
단독주택 260
22.9%
제2종근린생활시설 181
15.9%
업무시설 60
 
5.3%
교정및군사시설 55
 
4.8%
공동주택 33
 
2.9%
창고시설 31
 
2.7%
공장 21
 
1.8%
동물및식물관련시설 21
 
1.8%
운동시설 17
 
1.5%
Other values (17) 106
 
9.3%

Length

2024-03-23T04:02:08.742329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제1종근린생활시설 351
30.9%
단독주택 260
22.9%
제2종근린생활시설 181
15.9%
업무시설 60
 
5.3%
교정및군사시설 55
 
4.8%
공동주택 33
 
2.9%
창고시설 31
 
2.7%
공장 21
 
1.8%
동물및식물관련시설 21
 
1.8%
운동시설 17
 
1.5%
Other values (17) 106
 
9.3%

위도(WGS84)
Real number (ℝ)

Distinct943
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.680689
Minimum37.580818
Maximum37.735038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-03-23T04:02:09.348516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.580818
5-th percentile37.609363
Q137.655203
median37.687219
Q337.711484
95-th percentile37.72727
Maximum37.735038
Range0.15421971
Interquartile range (IQR)0.05628088

Descriptive statistics

Standard deviation0.035833835
Coefficient of variation (CV)0.00095098673
Kurtosis-0.52357625
Mean37.680689
Median Absolute Deviation (MAD)0.02917051
Skewness-0.56117781
Sum42805.263
Variance0.0012840637
MonotonicityNot monotonic
2024-03-23T04:02:09.972638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.655203 65
 
5.7%
37.68918169 7
 
0.6%
37.71204855 6
 
0.5%
37.70200107 4
 
0.4%
37.69954545 4
 
0.4%
37.71696604 4
 
0.4%
37.67085546 4
 
0.4%
37.71673422 4
 
0.4%
37.72726513 4
 
0.4%
37.63668606 4
 
0.4%
Other values (933) 1030
90.7%
ValueCountFrequency (%)
37.58081828 1
0.1%
37.58092055 1
0.1%
37.58644712 1
0.1%
37.58672611 1
0.1%
37.58708323 1
0.1%
37.58900753 1
0.1%
37.59011149 1
0.1%
37.59019598 1
0.1%
37.59022191 1
0.1%
37.59282378 1
0.1%
ValueCountFrequency (%)
37.73503799 1
0.1%
37.73487631 1
0.1%
37.73475644 1
0.1%
37.73426115 1
0.1%
37.73417933 1
0.1%
37.73373087 1
0.1%
37.73352779 1
0.1%
37.73315289 2
0.2%
37.73245461 1
0.1%
37.73191894 1
0.1%

경도(WGS84)
Real number (ℝ)

Distinct943
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.83387
Minimum126.6815
Maximum126.96305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-03-23T04:02:10.632522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6815
5-th percentile126.73788
Q1126.79879
median126.83386
Q3126.87475
95-th percentile126.91044
Maximum126.96305
Range0.2815545
Interquartile range (IQR)0.075960775

Descriptive statistics

Standard deviation0.053873156
Coefficient of variation (CV)0.0004247537
Kurtosis-0.19281803
Mean126.83387
Median Absolute Deviation (MAD)0.03798455
Skewness-0.14557058
Sum144083.28
Variance0.002902317
MonotonicityNot monotonic
2024-03-23T04:02:11.428471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8990741 65
 
5.7%
126.9611034 7
 
0.6%
126.7932387 6
 
0.5%
126.7816726 4
 
0.4%
126.8397585 4
 
0.4%
126.8555053 4
 
0.4%
126.865449 4
 
0.4%
126.8750047 4
 
0.4%
126.8442804 4
 
0.4%
126.8105414 4
 
0.4%
Other values (933) 1030
90.7%
ValueCountFrequency (%)
126.6814974 1
0.1%
126.6837617 1
0.1%
126.6840232 1
0.1%
126.6843058 1
0.1%
126.691416 1
0.1%
126.6957455 1
0.1%
126.697715 1
0.1%
126.6984156 1
0.1%
126.7000793 1
0.1%
126.7024697 1
0.1%
ValueCountFrequency (%)
126.9630519 1
 
0.1%
126.9611034 7
0.6%
126.9591872 2
 
0.2%
126.9588043 1
 
0.1%
126.9559096 1
 
0.1%
126.9541061 1
 
0.1%
126.9527784 1
 
0.1%
126.9526389 1
 
0.1%
126.9525593 1
 
0.1%
126.9525027 2
 
0.2%

Interactions

2024-03-23T04:01:57.641129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:01:56.836399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:01:57.985894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:01:57.253959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:02:11.809391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
착공 용도위도(WGS84)경도(WGS84)
착공 용도1.0000.4420.493
위도(WGS84)0.4421.0000.669
경도(WGS84)0.4930.6691.000
2024-03-23T04:02:12.162453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도(WGS84)경도(WGS84)착공 용도
위도(WGS84)1.000-0.1040.174
경도(WGS84)-0.1041.0000.200
착공 용도0.1740.2001.000

Missing values

2024-03-23T04:01:58.397223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:01:59.031629image/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

시군명설계사무소명신고일착공 신고지 도로명주소착공 신고지 지번주소시공사명착공 용도위도(WGS84)경도(WGS84)
0고양시한덕건축사사무소2024-02-26도로명주소 없음경기도 고양시 덕양구 향동동 14-2(주)운영종합건설제2종근린생활시설37.607057126.890289
1고양시건인건축사사무소2024-01-26경기도 고양시 덕양구 대장길 12-5경기도 고양시 덕양구 대장동 308-2(주)덕유종합건설공동주택37.637725126.816113
2고양시공간누리건축사사무소2024-01-10경기도 고양시 덕양구 토당로 12경기도 고양시 덕양구 토당동 869-6건축주직영단독주택37.617957126.82358
3고양시명도건축사사무소2024-02-13도로명주소 없음경기도 고양시 덕양구 화전동 647-7건축주직영창고시설37.598498126.865311
4고양시건축사사무소 틈2024-02-19도로명주소 없음경기도 고양시 덕양구 대자동 103-16 외1필지주호종합건설주식회사제2종근린생활시설37.655203126.899074
5고양시건축사사무소 틈2023-12-26도로명주소 없음경기도 고양시 덕양구 벽제동 576-25 외1필지(주)세움종합건설제2종근린생활시설37.732455126.912504
6고양시예진건축사사무소2023-12-15경기도 고양시 덕양구 통일로 502-1경기도 고양시 덕양구 대자동 273-4 외3필지주식회사 혜전종합건설종교시설37.677904126.887823
7고양시(주)대상건축사사무소2023-12-11경기도 고양시 덕양구 대덕로82번길 101-2경기도 고양시 덕양구 현천동 9-1 외3필지주식회사 예단개발교정및군사시설37.595975126.872874
8고양시가현건축사사무소2024-02-07도로명주소 없음경기도 고양시 덕양구 원당동 697-6씨엔피건설 주식회사동물및식물관련시설37.682767126.851041
9고양시인화 건축사사무소2023-11-14도로명주소 없음경기도 고양시 덕양구 내유동 44-5 외1필지동연종합건설(주)제2종근린생활시설37.655203126.899074
시군명설계사무소명신고일착공 신고지 도로명주소착공 신고지 지번주소시공사명착공 용도위도(WGS84)경도(WGS84)
1126고양시두리건축사사무소2019-03-13도로명주소 없음경기도 고양시 일산서구 덕이동 496-33건축주직영동물및식물관련시설37.690291126.751651
1127고양시건화종합건축사사무소2019-01-25도로명주소 없음경기도 고양시 일산서구 덕이동 1256-5 외2필지건축주직영제1종근린생활시설37.695599126.731961
1128고양시주식회사제이종합건축사사무소2019-06-25경기도 고양시 일산서구 곳산길 142-6경기도 고양시 일산서구 구산동 1218건축주직영동물및식물관련시설37.679878126.703693
1129고양시주식회사 건축그룹건축사사무소2018-10-11도로명주소 없음경기도 고양시 일산서구 대화동 2008(주)현영종합건설제1종근린생활시설37.684439126.757708
1130고양시김상기건축사사무소2018-10-20경기도 고양시 일산서구 강성로 203경기도 고양시 일산서구 대화동 2201지엔종합건설주식회사제1종근린생활시설37.67423126.753897
1131고양시김상기건축사사무소2018-06-19경기도 고양시 일산서구 송산로 387-7경기도 고양시 일산서구 가좌동 1098부석종합건설(주)운동시설37.686199126.721681
1132고양시라미건축사사무소2018-05-15경기도 고양시 일산서구 송포로164번길 42-5경기도 고양시 일산서구 대화동 1746-3건축주직영창고시설37.680621126.727296
1133고양시케이엔에프건축사사무소2018-06-04도로명주소 없음경기도 고양시 일산서구 주엽동 130(주)승의종합건설제2종근린생활시설37.669552126.755328
1134고양시한서건축사사무소2018-07-11경기도 고양시 일산서구 이산포길 590경기도 고양시 일산서구 구산동 1364 외1필지건축주직영단독주택37.688369126.681497
1135고양시건축사사무소 서건축2018-06-20도로명주소 없음경기도 고양시 일산서구 덕이동 408-7건축주직영단독주택37.693069126.753264

Duplicate rows

Most frequently occurring

시군명설계사무소명신고일착공 신고지 도로명주소착공 신고지 지번주소시공사명착공 용도위도(WGS84)경도(WGS84)# duplicates
3고양시(주)무영종합건축사사무소2020-02-13경기도 고양시 덕양구 북한산로 727경기도 고양시 덕양구 지축동 산 7-3일진종합건설(주)교정및군사시설37.689182126.9611035
2고양시(주)명인건축사사무소2022-03-25도로명주소 없음경기도 고양시 일산동구 성석동 1227-113태원건설산업(주)단독주택37.711375126.7889033
7고양시(주)케이아트엔지니어링종합건축사사무소2021-09-23경기도 고양시 덕양구 대양로 9-71경기도 고양시 덕양구 대자동 1111-1백산종합건설(주)교정및군사시설37.692436126.8747163
14고양시미설종합건축사사무소2023-06-07경기도 고양시 덕양구 고골길264번길 73-45경기도 고양시 덕양구 대자동 685건축주직영단독주택37.719266126.8810833
31고양시한덕건축사사무소2020-10-25도로명주소 없음경기도 고양시 덕양구 내유동 653-48 외1필지건축주직영제1종근린생활시설37.728926126.8467273
0고양시(주)건축사사무소 태원건축2022-06-13도로명주소 없음경기도 고양시 덕양구 벽제동 538-7건축주직영제1종근린생활시설37.727572126.9126342
1고양시(주)명인건축사사무소2022-02-21도로명주소 없음경기도 고양시 일산동구 성석동 1227-139태원건설산업(주)단독주택37.711433126.7910692
4고양시(주)무영종합건축사사무소2020-02-13경기도 고양시 덕양구 북한산로 727경기도 고양시 덕양구 지축동 산 7-3 외1필지일진종합건설(주)교정및군사시설37.689182126.9611032
5고양시(주)무영종합건축사사무소2020-02-13도로명주소 없음경기도 고양시 덕양구 지축동 산 7-4일진종합건설(주)교정및군사시설37.689433126.9591872
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