Overview

Dataset statistics

Number of variables12
Number of observations2578
Missing cells1046
Missing cells (%)3.4%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory256.9 KiB
Average record size in memory102.1 B

Variable types

Categorical3
Text4
Numeric5

Dataset

Description이재민 임시주거 시설 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0D84S1ZDWQMK7UH3O6L723185545&infSeq=2

Alerts

데이터수집일자 has constant value ""Constant
Dataset has 2 (0.1%) duplicate rowsDuplicates
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시설면적(㎡) is highly overall correlated with 주거능력수(명)High correlation
주거능력수(명) is highly overall correlated with 시설면적(㎡)High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지도로명주소 has 153 (5.9%) missing valuesMissing
지자체담당자전화번호 has 849 (32.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:37:09.309523
Analysis finished2023-12-10 21:37:14.021655
Duration4.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
광주시
270 
양주시
186 
고양시
 
144
이천시
 
132
용인시
 
127
Other values (26)
1719 

Length

Max length4
Median length3
Mean length3.0783553
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 270
 
10.5%
양주시 186
 
7.2%
고양시 144
 
5.6%
이천시 132
 
5.1%
용인시 127
 
4.9%
연천군 124
 
4.8%
안산시 119
 
4.6%
수원시 112
 
4.3%
남양주시 110
 
4.3%
부천시 110
 
4.3%
Other values (21) 1144
44.4%

Length

2023-12-11T06:37:14.117373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광주시 270
 
10.5%
양주시 186
 
7.2%
고양시 144
 
5.6%
이천시 132
 
5.1%
용인시 127
 
4.9%
연천군 124
 
4.8%
안산시 119
 
4.6%
수원시 112
 
4.3%
남양주시 110
 
4.3%
부천시 110
 
4.3%
Other values (21) 1144
44.4%

시설구분정보
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
학교
1247 
마을회관
521 
경로당
434 
관공서
188 
공공시설(국·공립도서관, 공립병원, 시·도민회관, 구민회관 주민체육시설, 노인병원, 어린이도서관 등)
 
72
Other values (3)
 
116

Length

Max length56
Median length2
Mean length4.2079131
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row마을회관
2nd row학교
3rd row마을회관
4th row마을회관
5th row마을회관

Common Values

ValueCountFrequency (%)
학교 1247
48.4%
마을회관 521
20.2%
경로당 434
 
16.8%
관공서 188
 
7.3%
공공시설(국·공립도서관, 공립병원, 시·도민회관, 구민회관 주민체육시설, 노인병원, 어린이도서관 등) 72
 
2.8%
기타시설 67
 
2.6%
교회 47
 
1.8%
연수,숙박 2
 
0.1%

Length

2023-12-11T06:37:14.259355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:14.375961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 1247
40.5%
마을회관 521
16.9%
경로당 434
 
14.1%
관공서 188
 
6.1%
공공시설(국·공립도서관 72
 
2.3%
공립병원 72
 
2.3%
시·도민회관 72
 
2.3%
구민회관 72
 
2.3%
주민체육시설 72
 
2.3%
노인병원 72
 
2.3%
Other values (5) 260
 
8.4%

시설명
Text

Distinct2533
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-11T06:37:14.618372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.6252909
Min length4

Characters and Unicode

Total characters19658
Distinct characters415
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2495 ?
Unique (%)96.8%

Sample

1st row운악리(하판리) 마을회관
2nd row목동초.가평북중학교 강당
3rd row신상3리 마을회관
4th row상판리 마을회관
5th row대보2리 마을회관
ValueCountFrequency (%)
마을회관 354
 
10.3%
경로당 166
 
4.8%
체육관 69
 
2.0%
주민센터 43
 
1.2%
강당 32
 
0.9%
행정복지센터 27
 
0.8%
교사동 18
 
0.5%
다목적실 16
 
0.5%
다목적강당 14
 
0.4%
다목적체육관 8
 
0.2%
Other values (2593) 2696
78.3%
2023-12-11T06:37:15.042601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1346
 
6.8%
학 1268
 
6.5%
등 977
 
5.0%
865
 
4.4%
초 824
 
4.2%
관 733
 
3.7%
리 650
 
3.3%
회 629
 
3.2%
마 561
 
2.9%
을 529
 
2.7%
Other values (405) 11276
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17766
90.4%
Space Separator 865
 
4.4%
Decimal Number 795
 
4.0%
Open Punctuation 91
 
0.5%
Close Punctuation 91
 
0.5%
Other Punctuation 33
 
0.2%
Lowercase Letter 12
 
0.1%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1346
 
7.6%
학 1268
 
7.1%
등 977
 
5.5%
초 824
 
4.6%
관 733
 
4.1%
리 650
 
3.7%
회 629
 
3.5%
마 561
 
3.2%
을 529
 
3.0%
당 520
 
2.9%
Other values (378) 9729
54.8%
Decimal Number
ValueCountFrequency (%)
1 274
34.5%
2 252
31.7%
3 122
15.3%
4 60
 
7.5%
5 36
 
4.5%
6 23
 
2.9%
7 12
 
1.5%
8 8
 
1.0%
9 4
 
0.5%
0 4
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
c 3
25.0%
o 2
16.7%
k 2
16.7%
a 1
 
8.3%
b 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
K 1
20.0%
S 1
20.0%
G 1
20.0%
L 1
20.0%
Other Punctuation
ValueCountFrequency (%)
@ 28
84.8%
, 3
 
9.1%
. 2
 
6.1%
Space Separator
ValueCountFrequency (%)
865
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17766
90.4%
Common 1875
 
9.5%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1346
 
7.6%
학 1268
 
7.1%
등 977
 
5.5%
초 824
 
4.6%
관 733
 
4.1%
리 650
 
3.7%
회 629
 
3.5%
마 561
 
3.2%
을 529
 
3.0%
당 520
 
2.9%
Other values (378) 9729
54.8%
Common
ValueCountFrequency (%)
865
46.1%
1 274
 
14.6%
2 252
 
13.4%
3 122
 
6.5%
( 91
 
4.9%
) 91
 
4.9%
4 60
 
3.2%
5 36
 
1.9%
@ 28
 
1.5%
6 23
 
1.2%
Other values (6) 33
 
1.8%
Latin
ValueCountFrequency (%)
e 3
17.6%
c 3
17.6%
o 2
11.8%
k 2
11.8%
C 1
 
5.9%
K 1
 
5.9%
S 1
 
5.9%
a 1
 
5.9%
b 1
 
5.9%
G 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17766
90.4%
ASCII 1892
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1346
 
7.6%
학 1268
 
7.1%
등 977
 
5.5%
초 824
 
4.6%
관 733
 
4.1%
리 650
 
3.7%
회 629
 
3.5%
마 561
 
3.2%
을 529
 
3.0%
당 520
 
2.9%
Other values (378) 9729
54.8%
ASCII
ValueCountFrequency (%)
865
45.7%
1 274
 
14.5%
2 252
 
13.3%
3 122
 
6.4%
( 91
 
4.8%
) 91
 
4.8%
4 60
 
3.2%
5 36
 
1.9%
@ 28
 
1.5%
6 23
 
1.2%
Other values (17) 50
 
2.6%

소재지지번주소
Text

Distinct2522
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-11T06:37:15.338589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length23.227308
Min length17

Characters and Unicode

Total characters59880
Distinct characters424
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

Unique2475 ?
Unique (%)96.0%

Sample

1st row경기도 가평군 조종면 현등사길 7-8
2nd row경기도 가평군 북면 석장모루길 13
3rd row경기도 가평군 조종면 세곡로 105
4th row경기도 가평군 조종면 명지산로 325
5th row경기도 가평군 조종면 대보간선로611번길 5
ValueCountFrequency (%)
경기도 2578
 
20.7%
광주시 270
 
2.2%
양주시 186
 
1.5%
고양시 144
 
1.2%
이천시 132
 
1.1%
용인시 127
 
1.0%
연천군 124
 
1.0%
안산시 119
 
1.0%
수원시 112
 
0.9%
남양주시 110
 
0.9%
Other values (4329) 8524
68.6%
2023-12-11T06:37:15.775237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9848
 
16.4%
도 2732
 
4.6%
경 2693
 
4.5%
기 2672
 
4.5%
시 2377
 
4.0%
로 2164
 
3.6%
1 1940
 
3.2%
동 1867
 
3.1%
( 1527
 
2.6%
) 1527
 
2.6%
Other values (414) 30533
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37170
62.1%
Space Separator 9848
 
16.4%
Decimal Number 9214
 
15.4%
Open Punctuation 1527
 
2.6%
Close Punctuation 1527
 
2.6%
Dash Punctuation 477
 
0.8%
Other Punctuation 100
 
0.2%
Uppercase Letter 15
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2732
 
7.4%
경 2693
 
7.2%
기 2672
 
7.2%
시 2377
 
6.4%
로 2164
 
5.8%
동 1867
 
5.0%
길 1304
 
3.5%
양 893
 
2.4%
번 847
 
2.3%
주 785
 
2.1%
Other values (389) 18836
50.7%
Decimal Number
ValueCountFrequency (%)
1 1940
21.1%
2 1262
13.7%
3 1080
11.7%
5 795
8.6%
4 792
8.6%
7 765
 
8.3%
6 732
 
7.9%
0 644
 
7.0%
8 612
 
6.6%
9 592
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
20.0%
T 3
20.0%
K 2
13.3%
C 2
13.3%
B 1
 
6.7%
R 1
 
6.7%
A 1
 
6.7%
P 1
 
6.7%
I 1
 
6.7%
Space Separator
ValueCountFrequency (%)
9848
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1527
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 477
100.0%
Other Punctuation
ValueCountFrequency (%)
, 100
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37170
62.1%
Common 22693
37.9%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2732
 
7.4%
경 2693
 
7.2%
기 2672
 
7.2%
시 2377
 
6.4%
로 2164
 
5.8%
동 1867
 
5.0%
길 1304
 
3.5%
양 893
 
2.4%
번 847
 
2.3%
주 785
 
2.1%
Other values (389) 18836
50.7%
Common
ValueCountFrequency (%)
9848
43.4%
1 1940
 
8.5%
( 1527
 
6.7%
) 1527
 
6.7%
2 1262
 
5.6%
3 1080
 
4.8%
5 795
 
3.5%
4 792
 
3.5%
7 765
 
3.4%
6 732
 
3.2%
Other values (5) 2425
 
10.7%
Latin
ValueCountFrequency (%)
S 3
17.6%
T 3
17.6%
e 2
11.8%
K 2
11.8%
C 2
11.8%
B 1
 
5.9%
R 1
 
5.9%
A 1
 
5.9%
P 1
 
5.9%
I 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37170
62.1%
ASCII 22710
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9848
43.4%
1 1940
 
8.5%
( 1527
 
6.7%
) 1527
 
6.7%
2 1262
 
5.6%
3 1080
 
4.8%
5 795
 
3.5%
4 792
 
3.5%
7 765
 
3.4%
6 732
 
3.2%
Other values (15) 2442
 
10.8%
Hangul
ValueCountFrequency (%)
도 2732
 
7.4%
경 2693
 
7.2%
기 2672
 
7.2%
시 2377
 
6.4%
로 2164
 
5.8%
동 1867
 
5.0%
길 1304
 
3.5%
양 893
 
2.4%
번 847
 
2.3%
주 785
 
2.1%
Other values (389) 18836
50.7%

소재지도로명주소
Text

MISSING 

Distinct2374
Distinct (%)97.9%
Missing153
Missing (%)5.9%
Memory size20.3 KiB
2023-12-11T06:37:16.115750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length19.757113
Min length13

Characters and Unicode

Total characters47911
Distinct characters368
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

Unique2331 ?
Unique (%)96.1%

Sample

1st row경기도 가평군 조종면 현등사길 7-8
2nd row경기도 가평군 북면 석장모루길 13
3rd row경기도 가평군 조종면 세곡로 105
4th row경기도 가평군 조종면 명지산로 325
5th row경기도 가평군 조종면 대보간선로611번길 5
ValueCountFrequency (%)
경기도 2425
 
21.3%
광주시 205
 
1.8%
양주시 154
 
1.4%
고양시 144
 
1.3%
연천군 124
 
1.1%
용인시 124
 
1.1%
이천시 123
 
1.1%
부천시 109
 
1.0%
수원시 109
 
1.0%
남양주시 105
 
0.9%
Other values (2898) 7762
68.2%
2023-12-11T06:37:16.606767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8959
18.7%
도 2558
 
5.3%
기 2511
 
5.2%
경 2510
 
5.2%
시 2215
 
4.6%
로 2027
 
4.2%
1 1793
 
3.7%
길 1235
 
2.6%
2 1167
 
2.4%
3 1004
 
2.1%
Other values (358) 21932
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29921
62.5%
Space Separator 8959
 
18.7%
Decimal Number 8595
 
17.9%
Dash Punctuation 436
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2558
 
8.5%
기 2511
 
8.4%
경 2510
 
8.4%
시 2215
 
7.4%
로 2027
 
6.8%
길 1235
 
4.1%
번 802
 
2.7%
양 769
 
2.6%
구 702
 
2.3%
면 661
 
2.2%
Other values (346) 13931
46.6%
Decimal Number
ValueCountFrequency (%)
1 1793
20.9%
2 1167
13.6%
3 1004
11.7%
5 746
8.7%
4 743
8.6%
7 730
8.5%
6 693
 
8.1%
0 602
 
7.0%
8 570
 
6.6%
9 547
 
6.4%
Space Separator
ValueCountFrequency (%)
8959
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 436
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29921
62.5%
Common 17990
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2558
 
8.5%
기 2511
 
8.4%
경 2510
 
8.4%
시 2215
 
7.4%
로 2027
 
6.8%
길 1235
 
4.1%
번 802
 
2.7%
양 769
 
2.6%
구 702
 
2.3%
면 661
 
2.2%
Other values (346) 13931
46.6%
Common
ValueCountFrequency (%)
8959
49.8%
1 1793
 
10.0%
2 1167
 
6.5%
3 1004
 
5.6%
5 746
 
4.1%
4 743
 
4.1%
7 730
 
4.1%
6 693
 
3.9%
0 602
 
3.3%
8 570
 
3.2%
Other values (2) 983
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29921
62.5%
ASCII 17990
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8959
49.8%
1 1793
 
10.0%
2 1167
 
6.5%
3 1004
 
5.6%
5 746
 
4.1%
4 743
 
4.1%
7 730
 
4.1%
6 693
 
3.9%
0 602
 
3.3%
8 570
 
3.2%
Other values (2) 983
 
5.5%
Hangul
ValueCountFrequency (%)
도 2558
 
8.5%
기 2511
 
8.4%
경 2510
 
8.4%
시 2215
 
7.4%
로 2027
 
6.8%
길 1235
 
4.1%
번 802
 
2.7%
양 769
 
2.6%
구 702
 
2.3%
면 661
 
2.2%
Other values (346) 13931
46.6%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1700
Distinct (%)66.1%
Missing6
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean13693.997
Minimum10005
Maximum18632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T06:37:16.756777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10005
5-th percentile10428.95
Q111486.75
median12772
Q316055.25
95-th percentile17916.6
Maximum18632
Range8627
Interquartile range (IQR)4568.5

Descriptive statistics

Standard deviation2511.9037
Coefficient of variation (CV)0.18343102
Kurtosis-1.1693074
Mean13693.997
Median Absolute Deviation (MAD)1745.5
Skewness0.44018119
Sum35220959
Variance6309660.1
MonotonicityNot monotonic
2023-12-11T06:37:16.898051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17300 10
 
0.4%
11048 10
 
0.4%
11481 9
 
0.3%
11426 9
 
0.3%
12711 8
 
0.3%
17408 7
 
0.3%
11049 7
 
0.3%
12508 7
 
0.3%
12734 7
 
0.3%
11493 7
 
0.3%
Other values (1690) 2491
96.6%
ValueCountFrequency (%)
10005 1
< 0.1%
10011 2
0.1%
10016 1
< 0.1%
10019 1
< 0.1%
10023 1
< 0.1%
10024 1
< 0.1%
10031 2
0.1%
10032 1
< 0.1%
10040 2
0.1%
10057 2
0.1%
ValueCountFrequency (%)
18632 1
< 0.1%
18627 1
< 0.1%
18625 1
< 0.1%
18616 1
< 0.1%
18613 1
< 0.1%
18610 1
< 0.1%
18600 1
< 0.1%
18599 1
< 0.1%
18597 1
< 0.1%
18596 1
< 0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2503
Distinct (%)97.8%
Missing19
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.508278
Minimum36.919952
Maximum38.213203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T06:37:17.048344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.919952
5-th percentile37.087639
Q137.310539
median37.452121
Q337.712738
95-th percentile38.009796
Maximum38.213203
Range1.2932511
Interquartile range (IQR)0.40219905

Descriptive statistics

Standard deviation0.27025884
Coefficient of variation (CV)0.0072053117
Kurtosis-0.58219325
Mean37.508278
Median Absolute Deviation (MAD)0.18903649
Skewness0.32305044
Sum95983.684
Variance0.073039839
MonotonicityNot monotonic
2023-12-11T06:37:17.203739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6773008253 4
 
0.2%
37.2397419125 4
 
0.2%
37.6668322176 4
 
0.2%
37.6708623966 3
 
0.1%
37.3336095323 3
 
0.1%
37.3311050859 3
 
0.1%
37.9852947753 2
 
0.1%
37.2977490529 2
 
0.1%
37.7750967923 2
 
0.1%
37.3579798962 2
 
0.1%
Other values (2493) 2530
98.1%
(Missing) 19
 
0.7%
ValueCountFrequency (%)
36.9199520563 1
< 0.1%
36.9354633095 1
< 0.1%
36.9384943381 1
< 0.1%
36.9448733701 1
< 0.1%
36.9464595429 1
< 0.1%
36.9607363289 1
< 0.1%
36.9611416318 1
< 0.1%
36.9624861144 1
< 0.1%
36.9645891437 1
< 0.1%
36.9650438705 1
< 0.1%
ValueCountFrequency (%)
38.2132031942 1
< 0.1%
38.1896067442 1
< 0.1%
38.1866695815 1
< 0.1%
38.183103501 1
< 0.1%
38.1809350861 1
< 0.1%
38.1796130137 1
< 0.1%
38.1784509462 1
< 0.1%
38.1757605897 1
< 0.1%
38.1681650004 1
< 0.1%
38.1580445835 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct2503
Distinct (%)97.8%
Missing19
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean127.08994
Minimum126.55287
Maximum127.7766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T06:37:17.377171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55287
5-th percentile126.75648
Q1126.91088
median127.07347
Q3127.25519
95-th percentile127.49308
Maximum127.7766
Range1.2237321
Interquartile range (IQR)0.34431123

Descriptive statistics

Standard deviation0.23287886
Coefficient of variation (CV)0.0018323941
Kurtosis-0.52092483
Mean127.08994
Median Absolute Deviation (MAD)0.1762289
Skewness0.30996393
Sum325223.17
Variance0.054232564
MonotonicityNot monotonic
2023-12-11T06:37:17.578731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7899283032 4
 
0.2%
126.9656259061 4
 
0.2%
126.7967404693 4
 
0.2%
126.7790360386 3
 
0.1%
126.8146577898 3
 
0.1%
127.4338178337 3
 
0.1%
127.2412854829 2
 
0.1%
126.9907492431 2
 
0.1%
126.7860075764 2
 
0.1%
127.1465906597 2
 
0.1%
Other values (2493) 2530
98.1%
(Missing) 19
 
0.7%
ValueCountFrequency (%)
126.5528707862 1
< 0.1%
126.5649909823 1
< 0.1%
126.5675452515 1
< 0.1%
126.5755211712 1
< 0.1%
126.5790592929 1
< 0.1%
126.5819022556 1
< 0.1%
126.5937004054 1
< 0.1%
126.5950026619 1
< 0.1%
126.5973003937 1
< 0.1%
126.6002315417 1
< 0.1%
ValueCountFrequency (%)
127.7766029235 1
< 0.1%
127.7747360745 1
< 0.1%
127.7726852635 1
< 0.1%
127.7656632283 1
< 0.1%
127.7511801375 1
< 0.1%
127.7509313108 1
< 0.1%
127.7204334785 1
< 0.1%
127.7137541761 1
< 0.1%
127.712131191 1
< 0.1%
127.7057145966 1
< 0.1%

시설면적(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct1272
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1258.3799
Minimum18
Maximum20263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T06:37:17.750224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile68.85
Q1134
median344
Q3925.75
95-th percentile7982.05
Maximum20263
Range20245
Interquartile range (IQR)791.75

Descriptive statistics

Standard deviation2501.5946
Coefficient of variation (CV)1.9879487
Kurtosis11.309739
Mean1258.3799
Median Absolute Deviation (MAD)254
Skewness3.300979
Sum3244103.3
Variance6257975.5
MonotonicityNot monotonic
2023-12-11T06:37:17.926626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 63
 
2.4%
132.0 60
 
2.3%
165.0 35
 
1.4%
66.0 32
 
1.2%
198.0 30
 
1.2%
100.0 25
 
1.0%
600.0 23
 
0.9%
135.0 21
 
0.8%
82.0 20
 
0.8%
90.0 20
 
0.8%
Other values (1262) 2249
87.2%
ValueCountFrequency (%)
18.0 1
 
< 0.1%
20.0 2
 
0.1%
21.0 1
 
< 0.1%
23.0 1
 
< 0.1%
24.0 1
 
< 0.1%
25.0 1
 
< 0.1%
28.0 1
 
< 0.1%
30.0 5
0.2%
33.0 2
 
0.1%
34.0 1
 
< 0.1%
ValueCountFrequency (%)
20263.0 1
< 0.1%
19973.0 1
< 0.1%
15864.0 1
< 0.1%
15354.0 1
< 0.1%
15233.0 1
< 0.1%
13989.0 1
< 0.1%
13754.0 1
< 0.1%
13690.0 1
< 0.1%
13664.0 1
< 0.1%
13517.0 1
< 0.1%

주거능력수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct839
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean477.9969
Minimum5
Maximum7793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T06:37:18.069863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile26
Q150
median131
Q3352.75
95-th percentile3057.95
Maximum7793
Range7788
Interquartile range (IQR)302.75

Descriptive statistics

Standard deviation958.86042
Coefficient of variation (CV)2.0059972
Kurtosis11.533603
Mean477.9969
Median Absolute Deviation (MAD)97
Skewness3.3352062
Sum1232276
Variance919413.3
MonotonicityNot monotonic
2023-12-11T06:37:18.234768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 101
 
3.9%
50 81
 
3.1%
76 54
 
2.1%
63 41
 
1.6%
31 40
 
1.6%
25 34
 
1.3%
51 29
 
1.1%
34 27
 
1.0%
230 26
 
1.0%
41 23
 
0.9%
Other values (829) 2122
82.3%
ValueCountFrequency (%)
5 1
 
< 0.1%
6 1
 
< 0.1%
7 2
 
0.1%
8 1
 
< 0.1%
9 2
 
0.1%
10 1
 
< 0.1%
11 5
0.2%
12 2
 
0.1%
13 4
0.2%
15 9
0.3%
ValueCountFrequency (%)
7793 1
< 0.1%
7681 1
< 0.1%
6101 1
< 0.1%
5905 1
< 0.1%
5858 1
< 0.1%
5380 1
< 0.1%
5290 1
< 0.1%
5265 1
< 0.1%
5255 1
< 0.1%
5198 1
< 0.1%

지자체담당자전화번호
Text

MISSING 

Distinct1037
Distinct (%)60.0%
Missing849
Missing (%)32.9%
Memory size20.3 KiB
2023-12-11T06:37:18.460876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.176981
Min length8

Characters and Unicode

Total characters21054
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

Unique993 ?
Unique (%)57.4%

Sample

1st row031-580-2213
2nd row031-580-2213
3rd row031-580-2213
4th row031-580-2213
5th row031-580-2213
ValueCountFrequency (%)
495
28.6%
031-580-2213 47
 
2.7%
031-839-2722 19
 
1.1%
031-839-2733 18
 
1.0%
031-839-2665 17
 
1.0%
031-839-2734 15
 
0.9%
031-839-2721 13
 
0.8%
031-839-2582 11
 
0.6%
031-839-2595 11
 
0.6%
031-839-2726 9
 
0.5%
Other values (1026) 1074
62.1%
2023-12-11T06:37:19.100911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5394
25.6%
- 3382
16.1%
3 2184
10.4%
0 2105
 
10.0%
1 1762
 
8.4%
2 1147
 
5.4%
7 1028
 
4.9%
8 927
 
4.4%
4 816
 
3.9%
6 778
 
3.7%
Other values (3) 1531
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12271
58.3%
Other Punctuation 5394
25.6%
Dash Punctuation 3382
 
16.1%
Close Punctuation 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2184
17.8%
0 2105
17.2%
1 1762
14.4%
2 1147
9.3%
7 1028
8.4%
8 927
7.6%
4 816
 
6.6%
6 778
 
6.3%
9 767
 
6.3%
5 757
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 5394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3382
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21054
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 5394
25.6%
- 3382
16.1%
3 2184
10.4%
0 2105
 
10.0%
1 1762
 
8.4%
2 1147
 
5.4%
7 1028
 
4.9%
8 927
 
4.4%
4 816
 
3.9%
6 778
 
3.7%
Other values (3) 1531
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21054
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5394
25.6%
- 3382
16.1%
3 2184
10.4%
0 2105
 
10.0%
1 1762
 
8.4%
2 1147
 
5.4%
7 1028
 
4.9%
8 927
 
4.4%
4 816
 
3.9%
6 778
 
3.7%
Other values (3) 1531
 
7.3%

데이터수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
20191211
2578 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20191211
2nd row20191211
3rd row20191211
4th row20191211
5th row20191211

Common Values

ValueCountFrequency (%)
20191211 2578
100.0%

Length

2023-12-11T06:37:19.234408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:19.382331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20191211 2578
100.0%

Interactions

2023-12-11T06:37:12.910141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.282242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.700701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.304171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.987650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:13.032850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.353426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.793644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.419029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:12.365679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:13.128844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.435511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.909137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.545409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:12.509197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:13.267659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.522801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.023172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.679300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:12.638874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:13.373344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:10.610566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.130527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:11.820682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:12.781537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:37:19.463644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설구분정보소재지우편번호WGS84위도WGS84경도시설면적(㎡)주거능력수(명)
시군명1.0000.7500.9940.9510.9240.5320.523
시설구분정보0.7501.0000.4940.3610.3790.2750.273
소재지우편번호0.9940.4941.0000.9130.8570.3710.365
WGS84위도0.9510.3610.9131.0000.5960.1880.187
WGS84경도0.9240.3790.8570.5961.0000.1810.183
시설면적(㎡)0.5320.2750.3710.1880.1811.0001.000
주거능력수(명)0.5230.2730.3650.1870.1831.0001.000
2023-12-11T06:37:19.594150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분정보시군명
시설구분정보1.0000.406
시군명0.4061.000
2023-12-11T06:37:19.696081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시설면적(㎡)주거능력수(명)시군명시설구분정보
소재지우편번호1.000-0.9070.1830.1540.1510.9460.262
WGS84위도-0.9071.000-0.166-0.119-0.1170.7370.181
WGS84경도0.183-0.1661.000-0.316-0.3090.6520.191
시설면적(㎡)0.154-0.119-0.3161.0000.9980.2280.138
주거능력수(명)0.151-0.117-0.3090.9981.0000.2230.137
시군명0.9460.7370.6520.2280.2231.0000.406
시설구분정보0.2620.1810.1910.1380.1370.4061.000

Missing values

2023-12-11T06:37:13.548172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:37:13.746127image/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.
2023-12-11T06:37:13.916671image/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

시군명시설구분정보시설명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도시설면적(㎡)주거능력수(명)지자체담당자전화번호데이터수집일자
0가평군마을회관운악리(하판리) 마을회관경기도 가평군 조종면 현등사길 7-8경기도 가평군 조종면 현등사길 7-81243237.865123127.349348165.063031-580-221320191211
1가평군학교목동초.가평북중학교 강당경기도 가평군 북면 석장모루길 13경기도 가평군 북면 석장모루길 131240737.879306127.548123815.0313031-580-221320191211
2가평군마을회관신상3리 마을회관경기도 가평군 조종면 세곡로 105경기도 가평군 조종면 세곡로 1051243437.83557127.336567160.061031-580-221320191211
3가평군마을회관상판리 마을회관경기도 가평군 조종면 명지산로 325경기도 가평군 조종면 명지산로 3251243137.901338127.372593165.063031-580-221320191211
4가평군마을회관대보2리 마을회관경기도 가평군 조종면 대보간선로611번길 5경기도 가평군 조종면 대보간선로611번길 51243937.798869127.391625123.047031-580-221320191211
5가평군공공시설(국·공립도서관, 공립병원, 시·도민회관, 구민회관 주민체육시설, 노인병원, 어린이도서관 등)북면 복지회관경기도 가평군 북면 목동복지로 36-12경기도 가평군 북면 목동복지로 36-121240337.886371127.551426347.0133031-580-221320191211
6가평군마을회관현6리 마을회관경기도 가평군 조종면 연인산로 18경기도 가평군 조종면 연인산로 181243737.822025127.351504171.065031-580-221320191211
7가평군관공서조종면사무소경기도 가평군 조종면 조종내길 71경기도 가평군 조종면 조종내길 711243837.817719127.353194220.084031-580-221320191211
8가평군마을회관신상2리 마을회관경기도 가평군 조종면 운악청계로 365경기도 가평군 조종면 운악청계로 3651243437.847816127.355112213.081031-580-221320191211
9가평군마을회관신하리 마을회관경기도 가평군 조종면 연인산로 159경기도 가평군 조종면 연인산로 1591243637.831057127.359236121.046031-580-221320191211
시군명시설구분정보시설명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도시설면적(㎡)주거능력수(명)지자체담당자전화번호데이터수집일자
2568화성시학교활초초등학교경기도 화성시 남양읍 안석길111번길 106경기도 화성시 남양읍 안석길111번길 1061827837.178804126.82533204.078<NA>20191211
2569화성시학교송라초등학교경기도 화성시 매송면 푸른들판로 1970-16경기도 화성시 매송면 푸른들판로 1970-161828637.272958126.889245695.0267<NA>20191211
2570화성시학교청룡초등학교경기도 화성시 비봉면 주석로 610경기도 화성시 비봉면 주석로 6101829337.200844126.888621192.073031-356-423120191211
2571화성시학교한백초등학교경기도 화성시 동탄순환대로26길 37(영천동)경기도 화성시 동탄순환대로26길 371846637.208366127.114697787.0302031-8077-904420191211
2572화성시학교봉담초등학교경기도 화성시 봉담읍 진등3길 15경기도 화성시 봉담읍 진등3길 151831337.222711126.94717950.0365<NA>20191211
2573화성시학교수영초등학교경기도 화성시 봉담읍 수영로 63경기도 화성시 봉담읍 수영로 631829737.236184126.954242642.0246<NA>20191211
2574화성시학교예당초등학교경기도 화성시 동탄반석로 245(석우동)경기도 화성시 동탄반석로 2451844737.210575127.075207665.0255031-8055-310620191211
2575화성시학교예원초등학교경기도 화성시 동탄반석로 259(석우동)경기도 화성시 동탄반석로 2591844737.211155127.076196598.0230031-8059-343220191211
2576화성시학교동탄초등학교경기도 화성시 동부대로970번길 31(오산동)경기도 화성시 동탄감배산로 261848037.189115127.091304644.0247031-371-476020191211
2577화성시학교청목초등학교경기도 화성시 동탄순환대로21길 10(청계동)경기도 화성시 동탄순환대로21길 101848237.195621127.117591661.0254031-8055-094720191211

Duplicate rows

Most frequently occurring

시군명시설구분정보시설명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도시설면적(㎡)주거능력수(명)지자체담당자전화번호데이터수집일자# duplicates
0고양시학교하늘초등학교경기도 고양시 일산동구 하늘마을1로 46(중산동)경기도 고양시 일산동구 하늘마을1로 461031137.677301126.789928131.050<NA>201912113
1수원시학교오목초등학교경기도 수원시 권선구 오목천로 24(오목천동)경기도 수원시 권선구 오목천로 241663737.239742126.965626132.050031-293-0025201912112