Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Categorical4
Text2

Dataset

Description생활 SOC 복합화 시설 주기능시설인 생활문화센터를 중심으로 연계 시설의 수요를 분석하여 후보지를 도출생활SOC 복합시설 조성을 위한 기초자료 및 적절성 검토자료로 활용유인력과 인구밀도로 시설물별 가중치 부여 후 수요도 중첩수요가 높고 공급이 낮은 지역을 입지 우선지역으로 도출함인구밀도(수요)와 유인력(공급)을 재분류하여 복합화 시설물별 수요도 산출
Author국토교통부
URLhttps://www.data.go.kr/data/15123085/fileData.do

Alerts

대분류 has constant value ""Constant
시설분류 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 시설분류High correlation
구분 is highly imbalanced (56.2%)Imbalance

Reproduction

Analysis started2023-12-12 11:33:45.129248
Analysis finished2023-12-12 11:33:46.698210
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대분류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
생활문화센터군
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활문화센터군 10000
100.0%

Length

2023-12-12T20:33:46.814348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:33:46.943840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활문화센터군 10000
100.0%

시설분류
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
오산시 주민건강센터,의료시설
4201 
오산시 체육시설
3352 
서초구 주차장
656 
서초구 도서관
589 
서초구 복지시설
522 
Other values (7)
680 

Length

Max length15
Median length10
Mean length10.8346
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서초구 복지시설
2nd row오산시 주민건강센터,의료시설
3rd row오산시 주민건강센터,의료시설
4th row오산시 체육시설
5th row오산시 체육시설

Common Values

ValueCountFrequency (%)
오산시 주민건강센터,의료시설 4201
42.0%
오산시 체육시설 3352
33.5%
서초구 주차장 656
 
6.6%
서초구 도서관 589
 
5.9%
서초구 복지시설 522
 
5.2%
양주시 주차장 216
 
2.2%
서초구 국민체육센터 198
 
2.0%
양주시 어린이집 183
 
1.8%
양주시 도서관 38
 
0.4%
양주시 국민체육센터 22
 
0.2%
Other values (2) 23
 
0.2%

Length

2023-12-12T20:33:47.126185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오산시 7569
37.8%
주민건강센터,의료시설 4201
21.0%
체육시설 3352
16.8%
서초구 1965
 
9.8%
주차장 872
 
4.4%
도서관 643
 
3.2%
복지시설 522
 
2.6%
양주시 466
 
2.3%
국민체육센터 220
 
1.1%
어린이집 183
 
0.9%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유인력
9095 
수요도
 
905

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수요도
2nd row유인력
3rd row유인력
4th row유인력
5th row유인력

Common Values

ValueCountFrequency (%)
유인력 9095
91.0%
수요도 905
 
9.0%

Length

2023-12-12T20:33:47.337062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:33:47.513705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유인력 9095
91.0%
수요도 905
 
9.0%

등급코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
2164 
2
2071 
4
2068 
1
1979 
5
1718 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 2164
21.6%
2 2071
20.7%
4 2068
20.7%
1 1979
19.8%
5 1718
17.2%

Length

2023-12-12T20:33:47.709295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:33:47.877891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2164
21.6%
2 2071
20.7%
4 2068
20.7%
1 1979
19.8%
5 1718
17.2%

격자번호
Text

Distinct9305
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:33:48.305739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters80000
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8644 ?
Unique (%)86.4%

Sample

1st row다사578450
2nd row다마235847
3rd row다마303834
4th row다마265982
5th row다마279796
ValueCountFrequency (%)
다사596414 4
 
< 0.1%
다사542450 4
 
< 0.1%
다사543452 4
 
< 0.1%
다마165956 3
 
< 0.1%
다사574469 3
 
< 0.1%
다사553440 3
 
< 0.1%
다사541418 3
 
< 0.1%
다사610392 3
 
< 0.1%
다사545421 3
 
< 0.1%
다사615398 3
 
< 0.1%
Other values (9295) 9967
99.7%
2023-12-12T20:33:49.003684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 10000
12.5%
9 8226
10.3%
3 7594
9.5%
마 7569
9.5%
2 7083
8.9%
8 6888
8.6%
5 6255
7.8%
4 5937
7.4%
1 4938
6.2%
6 4841
6.1%
Other values (3) 10669
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60000
75.0%
Other Letter 20000
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 8226
13.7%
3 7594
12.7%
2 7083
11.8%
8 6888
11.5%
5 6255
10.4%
4 5937
9.9%
1 4938
8.2%
6 4841
8.1%
7 4409
7.3%
0 3829
6.4%
Other Letter
ValueCountFrequency (%)
다 10000
50.0%
마 7569
37.8%
사 2431
 
12.2%

Most occurring scripts

ValueCountFrequency (%)
Common 60000
75.0%
Hangul 20000
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 8226
13.7%
3 7594
12.7%
2 7083
11.8%
8 6888
11.5%
5 6255
10.4%
4 5937
9.9%
1 4938
8.2%
6 4841
8.1%
7 4409
7.3%
0 3829
6.4%
Hangul
ValueCountFrequency (%)
다 10000
50.0%
마 7569
37.8%
사 2431
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
75.0%
Hangul 20000
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 10000
50.0%
마 7569
37.8%
사 2431
 
12.2%
ASCII
ValueCountFrequency (%)
9 8226
13.7%
3 7594
12.7%
2 7083
11.8%
8 6888
11.5%
5 6255
10.4%
4 5937
9.9%
1 4938
8.2%
6 4841
8.1%
7 4409
7.3%
0 3829
6.4%

공간정보
Text

Distinct9305
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:33:49.481182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length188
Median length187
Mean length186.8866
Min length178

Characters and Unicode

Total characters1868866
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8644 ?
Unique (%)86.4%

Sample

1st rowMULTIPOLYGON (((127.02255112446 37.5033046526384,127.023682513751 37.5033091788661,127.023676814057 37.5042105268241,127.022545340947 37.5042060005964,127.02255112446 37.5033046526384)))
2nd rowMULTIPOLYGON (((126.650610122201 36.0561942989268,126.651720389096 36.0562021360063,126.651710666088 36.0571036096928,126.650600483013 36.0570958145229,126.650610122201 36.0561942989268)))
3rd rowMULTIPOLYGON (((126.726219750348 36.0449859341816,126.727329681966 36.0449930587993,126.727320964787 36.0458945324858,126.72621086553 36.0458873659586,126.726219750348 36.0449859341816)))
4th rowMULTIPOLYGON (((126.682656149698 36.1781261377866,126.683768009154 36.178133723409,126.683758621422 36.1790351970955,126.682646678147 36.1790275695636,126.682656149698 36.1781261377866)))
5th rowMULTIPOLYGON (((126.699924714258 36.0105539141272,126.701034226781 36.010561290202,126.701025174326 36.011462805798,126.699915494164 36.0114553878137,126.699924714258 36.0105539141272)))
ValueCountFrequency (%)
multipolygon 10000
 
14.3%
37.5058468838715,126.982935148749 4
 
< 0.1%
37.5031330331709 4
 
< 0.1%
37.5040343811289,126.981822367283 4
 
< 0.1%
37.5040392845422,126.981816080856 4
 
< 0.1%
37.5031379784938,126.982947553966 4
 
< 0.1%
37.5031330331709,126.982953672755 4
 
< 0.1%
126.981822367283 4
 
< 0.1%
37.5049406325002 4
 
< 0.1%
37.5058419804582,126.982941267538 4
 
< 0.1%
Other values (55813) 59964
85.7%
2023-12-12T20:33:50.343554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 208770
11.2%
1 186346
10.0%
3 164528
8.8%
2 164339
8.8%
7 154664
8.3%
0 126565
 
6.8%
4 123764
 
6.6%
5 121873
 
6.5%
8 120599
 
6.5%
9 117418
 
6.3%
Other values (15) 380000
20.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1488866
79.7%
Other Punctuation 140000
 
7.5%
Uppercase Letter 120000
 
6.4%
Space Separator 60000
 
3.2%
Close Punctuation 30000
 
1.6%
Open Punctuation 30000
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 208770
14.0%
1 186346
12.5%
3 164528
11.1%
2 164339
11.0%
7 154664
10.4%
0 126565
8.5%
4 123764
8.3%
5 121873
8.2%
8 120599
8.1%
9 117418
7.9%
Uppercase Letter
ValueCountFrequency (%)
O 20000
16.7%
L 20000
16.7%
U 10000
8.3%
N 10000
8.3%
G 10000
8.3%
Y 10000
8.3%
P 10000
8.3%
I 10000
8.3%
T 10000
8.3%
M 10000
8.3%
Other Punctuation
ValueCountFrequency (%)
. 100000
71.4%
, 40000
 
28.6%
Space Separator
ValueCountFrequency (%)
60000
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30000
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1748866
93.6%
Latin 120000
 
6.4%

Most frequent character per script

Common
ValueCountFrequency (%)
6 208770
11.9%
1 186346
10.7%
3 164528
9.4%
2 164339
9.4%
7 154664
8.8%
0 126565
7.2%
4 123764
7.1%
5 121873
7.0%
8 120599
6.9%
9 117418
6.7%
Other values (5) 260000
14.9%
Latin
ValueCountFrequency (%)
O 20000
16.7%
L 20000
16.7%
U 10000
8.3%
N 10000
8.3%
G 10000
8.3%
Y 10000
8.3%
P 10000
8.3%
I 10000
8.3%
T 10000
8.3%
M 10000
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1868866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 208770
11.2%
1 186346
10.0%
3 164528
8.8%
2 164339
8.8%
7 154664
8.3%
0 126565
 
6.8%
4 123764
 
6.6%
5 121873
 
6.5%
8 120599
 
6.5%
9 117418
 
6.3%
Other values (15) 380000
20.3%

Correlations

2023-12-12T20:33:50.585185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설분류구분등급코드
시설분류1.0000.7720.200
구분0.7721.0000.057
등급코드0.2000.0571.000
2023-12-12T20:33:50.831161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등급코드구분시설분류
등급코드1.0000.0700.111
구분0.0701.0000.616
시설분류0.1110.6161.000
2023-12-12T20:33:51.067094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설분류구분등급코드
시설분류1.0000.6160.111
구분0.6161.0000.070
등급코드0.1110.0701.000

Missing values

2023-12-12T20:33:46.417272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:33:46.603543image/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

대분류시설분류구분등급코드격자번호공간정보
21474생활문화센터군서초구 복지시설수요도3다사578450MULTIPOLYGON (((127.02255112446 37.5033046526384,127.023682513751 37.5033091788661,127.023676814057 37.5042105268241,127.022545340947 37.5042060005964,127.02255112446 37.5033046526384)))
10098생활문화센터군오산시 주민건강센터,의료시설유인력3다마235847MULTIPOLYGON (((126.650610122201 36.0561942989268,126.651720389096 36.0562021360063,126.651710666088 36.0571036096928,126.650600483013 36.0570958145229,126.650610122201 36.0561942989268)))
15849생활문화센터군오산시 주민건강센터,의료시설유인력4다마303834MULTIPOLYGON (((126.726219750348 36.0449859341816,126.727329681966 36.0449930587993,126.727320964787 36.0458945324858,126.72621086553 36.0458873659586,126.726219750348 36.0449859341816)))
32628생활문화센터군오산시 체육시설유인력3다마265982MULTIPOLYGON (((126.682656149698 36.1781261377866,126.683768009154 36.178133723409,126.683758621422 36.1790351970955,126.682646678147 36.1790275695636,126.682656149698 36.1781261377866)))
4626생활문화센터군오산시 체육시설유인력4다마279796MULTIPOLYGON (((126.699924714258 36.0105539141272,126.701034226781 36.010561290202,126.701025174326 36.011462805798,126.699915494164 36.0114553878137,126.699924714258 36.0105539141272)))
4928생활문화센터군오산시 체육시설유인력2다마349835MULTIPOLYGON (((126.777275012237 36.0462061297364,126.778385027674 36.0462127933494,126.778376813409 36.0471142670359,126.777266714153 36.0471076453324,126.777275012237 36.0462061297364)))
17467생활문화센터군오산시 주민건강센터,의료시설유인력3다마374906MULTIPOLYGON (((126.8044639783 36.1103778128095,126.805574999566 36.1103842668749,126.805567120577 36.111285782471,126.804456015492 36.1112793284055,126.8044639783 36.1103778128095)))
33614생활문화센터군오산시 주민건강센터,의료시설유인력4다마316922MULTIPOLYGON (((126.739887281666 36.1244103760107,126.74099838675 36.1244173748998,126.74098975339 36.1253189324054,126.739878564486 36.1253118916067,126.739887281666 36.1244103760107)))
5326생활문화센터군서초구 주차장유인력3다사605396MULTIPOLYGON (((127.053387727148 37.4547516822139,127.054518362067 37.4547559569845,127.054512997649 37.4556572630329,127.05338236273 37.4556529882623,127.053387727148 37.4547516822139)))
4122생활문화센터군오산시 주민건강센터,의료시설유인력4다마333971MULTIPOLYGON (((126.758361834455 36.1687020287703,126.759473610092 36.16870898575,126.75946506055 36.1696104594365,126.758353201094 36.1696035862759,126.758361834455 36.1687020287703)))
대분류시설분류구분등급코드격자번호공간정보
11126생활문화센터군오산시 체육시설유인력1다마323829MULTIPOLYGON (((126.748463980271 36.0406195493604,126.749573911889 36.0406265482496,126.749565362348 36.0415280638456,126.74845543073 36.041521106866,126.748463980271 36.0406195493604)))
12103생활문화센터군오산시 체육시설유인력3다마318944MULTIPOLYGON (((126.741918887357 36.1442573397161,126.743030327718 36.1442643386052,126.743021694358 36.1451658542013,126.741910253997 36.1451588134026,126.741918887357 36.1442573397161)))
10474생활문화센터군오산시 주민건강센터,의료시설유인력4다마243852MULTIPOLYGON (((126.659443893777 36.0607643639952,126.660554160672 36.0607721172556,126.660544605302 36.0616736328517,126.659434254588 36.0616658376817,126.659443893777 36.0607643639952)))
38995생활문화센터군오산시 주민건강센터,의료시설유인력5다마269845MULTIPOLYGON (((126.688375876606 36.0546528669329,126.689485975862 36.0546603268267,126.689476839588 36.0555618005132,126.688366572693 36.0555543406194,126.688375876606 36.0546528669329)))
10113생활문화센터군양주시 어린이집수요도1다사563781MULTIPOLYGON (((127.00359880319 37.8015682649806,127.004734718709 37.8015730845749,127.004728683738 37.8024743906234,127.00359276822 37.8024696129386,127.00359880319 37.8015682649806)))
31488생활문화센터군서초구 국민체육센터수요도1다사558453MULTIPOLYGON (((126.999905904289 37.5059149868348,127.001037377399 37.5059198483387,127.001031426248 37.5068211124776,126.999899953138 37.5068163347928,126.999905904289 37.5059149868348)))
13916생활문화센터군오산시 체육시설유인력1다마347955MULTIPOLYGON (((126.774060300912 36.1543735424776,126.775171908911 36.1543802480001,126.775163610827 36.1552817216866,126.774052002828 36.1552750161641,126.774060300912 36.1543735424776)))
248생활문화센터군서초구 주차장유인력5다사556444MULTIPOLYGON (((126.997697608079 37.497793425572,126.998828745912 37.4977982032568,126.998822794761 37.4986995512148,126.997691489289 37.49869477353,126.997697608079 37.497793425572)))
36383생활문화센터군오산시 주민건강센터,의료시설유인력5다마142953MULTIPOLYGON (((126.546208740466 36.150972333807,126.547320348466 36.1509812186244,126.547309284353 36.1518826504014,126.546197843992 36.1518738494031,126.546208740466 36.150972333807)))
10221생활문화센터군양주시 주차장유인력4다사598785MULTIPOLYGON (((127.043332879917 37.8053342540773,127.044468963074 37.8053386545765,127.044463431018 37.8062400025345,127.043327347861 37.8062356020353,127.043332879917 37.8053342540773)))