Overview

Dataset statistics

Number of variables8
Number of observations816
Missing cells1632
Missing cells (%)25.0%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory52.7 KiB
Average record size in memory66.2 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description경기도 수원시 기계설비 성능점검 대상 건축물(일반건축물 및 공동주택) 현황 자료로 건물명, 주소, 연면적, 세대수를 포함하고 있습니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15124757/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 2 (0.2%) duplicate rowsDuplicates
세대수 is highly overall correlated with 건축물용도High correlation
건축물용도 is highly overall correlated with 세대수High correlation
도로명주소 has 557 (68.3%) missing valuesMissing
지번주소 has 259 (31.7%) missing valuesMissing
연면적 has 259 (31.7%) missing valuesMissing
세대수 has 557 (68.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:02:48.473594
Analysis finished2023-12-12 20:02:49.750091
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
수원시
816 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 816
100.0%

Length

2023-12-13T05:02:49.817985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:02:49.941626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 816
100.0%

건축물용도
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
공동주택
269 
업무시설
158 
교육연구시설
132 
공장
68 
판매시설
33 
Other values (18)
156 

Length

Max length10
Median length4
Mean length4.6862745
Min length2

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st row자동차관련시설
2nd row공장
3rd row공장
4th row공장
5th row공장

Common Values

ValueCountFrequency (%)
공동주택 269
33.0%
업무시설 158
19.4%
교육연구시설 132
16.2%
공장 68
 
8.3%
판매시설 33
 
4.0%
자동차관련시설 26
 
3.2%
제1종근린생활시설 25
 
3.1%
제2종근린생활시설 22
 
2.7%
의료시설 15
 
1.8%
문화및집회시설 11
 
1.3%
Other values (13) 57
 
7.0%

Length

2023-12-13T05:02:50.066476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 269
33.0%
업무시설 158
19.4%
교육연구시설 132
16.2%
공장 68
 
8.3%
판매시설 33
 
4.0%
자동차관련시설 26
 
3.2%
제1종근린생활시설 25
 
3.1%
제2종근린생활시설 22
 
2.7%
의료시설 15
 
1.8%
문화및집회시설 11
 
1.3%
Other values (13) 57
 
7.0%

건물명
Text

Distinct702
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-13T05:02:50.391843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length7.9901961
Min length1

Characters and Unicode

Total characters6520
Distinct characters438
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique664 ?
Unique (%)81.4%

Sample

1st row고색리치아노
2nd row고색동 첨단벤처밸리
3rd row휴먼스카이밸리
4th row(주)모베이스전자
5th row수원벤처밸리Ⅱ
ValueCountFrequency (%)
광교 29
 
2.5%
수원 18
 
1.5%
아주대학교 12
 
1.0%
대학교 12
 
1.0%
영통 12
 
1.0%
성균관 12
 
1.0%
더샵 11
 
0.9%
전자연구단지 11
 
0.9%
삼성전자 10
 
0.9%
삼성전자1단지 10
 
0.9%
Other values (819) 1027
88.2%
2023-12-13T05:02:50.891944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
358
 
5.5%
교 210
 
3.2%
원 171
 
2.6%
스 163
 
2.5%
지 148
 
2.3%
수 134
 
2.1%
이 129
 
2.0%
단 107
 
1.6%
광 104
 
1.6%
학 102
 
1.6%
Other values (428) 4894
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5539
85.0%
Space Separator 358
 
5.5%
Decimal Number 231
 
3.5%
Uppercase Letter 222
 
3.4%
Open Punctuation 48
 
0.7%
Close Punctuation 48
 
0.7%
Lowercase Letter 43
 
0.7%
Other Punctuation 17
 
0.3%
Dash Punctuation 11
 
0.2%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 210
 
3.8%
원 171
 
3.1%
스 163
 
2.9%
지 148
 
2.7%
수 134
 
2.4%
이 129
 
2.3%
단 107
 
1.9%
광 104
 
1.9%
학 102
 
1.8%
자 92
 
1.7%
Other values (367) 4179
75.4%
Uppercase Letter
ValueCountFrequency (%)
S 29
13.1%
K 24
 
10.8%
E 19
 
8.6%
C 17
 
7.7%
L 15
 
6.8%
T 13
 
5.9%
A 12
 
5.4%
W 11
 
5.0%
I 10
 
4.5%
R 9
 
4.1%
Other values (15) 63
28.4%
Lowercase Letter
ValueCountFrequency (%)
e 15
34.9%
s 4
 
9.3%
t 4
 
9.3%
r 3
 
7.0%
o 3
 
7.0%
y 2
 
4.7%
a 2
 
4.7%
i 2
 
4.7%
l 2
 
4.7%
h 1
 
2.3%
Other values (5) 5
 
11.6%
Decimal Number
ValueCountFrequency (%)
1 88
38.1%
2 55
23.8%
3 30
 
13.0%
0 16
 
6.9%
9 10
 
4.3%
4 10
 
4.3%
6 8
 
3.5%
5 6
 
2.6%
7 5
 
2.2%
8 3
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 14
82.4%
& 2
 
11.8%
· 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 46
95.8%
[ 2
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 46
95.8%
] 2
 
4.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5539
85.0%
Common 713
 
10.9%
Latin 268
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 210
 
3.8%
원 171
 
3.1%
스 163
 
2.9%
지 148
 
2.7%
수 134
 
2.4%
이 129
 
2.3%
단 107
 
1.9%
광 104
 
1.9%
학 102
 
1.8%
자 92
 
1.7%
Other values (367) 4179
75.4%
Latin
ValueCountFrequency (%)
S 29
 
10.8%
K 24
 
9.0%
E 19
 
7.1%
C 17
 
6.3%
e 15
 
5.6%
L 15
 
5.6%
T 13
 
4.9%
A 12
 
4.5%
W 11
 
4.1%
I 10
 
3.7%
Other values (32) 103
38.4%
Common
ValueCountFrequency (%)
358
50.2%
1 88
 
12.3%
2 55
 
7.7%
( 46
 
6.5%
) 46
 
6.5%
3 30
 
4.2%
0 16
 
2.2%
. 14
 
2.0%
- 11
 
1.5%
9 10
 
1.4%
Other values (9) 39
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5539
85.0%
ASCII 977
 
15.0%
Number Forms 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
358
36.6%
1 88
 
9.0%
2 55
 
5.6%
( 46
 
4.7%
) 46
 
4.7%
3 30
 
3.1%
S 29
 
3.0%
K 24
 
2.5%
E 19
 
1.9%
C 17
 
1.7%
Other values (48) 265
27.1%
Hangul
ValueCountFrequency (%)
교 210
 
3.8%
원 171
 
3.1%
스 163
 
2.9%
지 148
 
2.7%
수 134
 
2.4%
이 129
 
2.3%
단 107
 
1.9%
광 104
 
1.9%
학 102
 
1.8%
자 92
 
1.7%
Other values (367) 4179
75.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소
Text

MISSING 

Distinct257
Distinct (%)99.2%
Missing557
Missing (%)68.3%
Memory size6.5 KiB
2023-12-13T05:02:51.237795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length37.590734
Min length18

Characters and Unicode

Total characters9736
Distinct characters279
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)98.5%

Sample

1st row경기도 수원시 영통구 광교중앙로 49번길 40 (원천동 광교원천행복주택)
2nd row경기도 수원시 팔달구 정자천로32번길 27 (화서동 꽃뫼버들마을 금강 아파트)
3rd row경기도 수원시 영통구 웰빙타운로56번길 76 (이의동 e편한세상 TERRACE 광교 West hill)
4th row경기도 수원시 영통구 웰빙타운로 20 (이의동 호반가든하임)
5th row경기도 수원시 권선구 덕영대로1323번길 26-31 (권선동 대림아파트)
ValueCountFrequency (%)
경기도 259
 
13.3%
수원시 259
 
13.3%
영통구 104
 
5.3%
권선구 80
 
4.1%
장안구 47
 
2.4%
팔달구 28
 
1.4%
영통동 27
 
1.4%
권선동 25
 
1.3%
정자동 23
 
1.2%
망포동 21
 
1.1%
Other values (602) 1080
55.3%
2023-12-13T05:02:51.702013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1714
 
17.6%
원 346
 
3.6%
수 334
 
3.4%
동 288
 
3.0%
시 277
 
2.8%
경 267
 
2.7%
구 266
 
2.7%
도 262
 
2.7%
로 262
 
2.7%
기 259
 
2.7%
Other values (269) 5461
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6328
65.0%
Space Separator 1714
 
17.6%
Decimal Number 1065
 
10.9%
Close Punctuation 257
 
2.6%
Open Punctuation 257
 
2.6%
Uppercase Letter 66
 
0.7%
Lowercase Letter 21
 
0.2%
Other Punctuation 17
 
0.2%
Dash Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 346
 
5.5%
수 334
 
5.3%
동 288
 
4.6%
시 277
 
4.4%
경 267
 
4.2%
구 266
 
4.2%
도 262
 
4.1%
로 262
 
4.1%
기 259
 
4.1%
영 200
 
3.2%
Other values (224) 3567
56.4%
Uppercase Letter
ValueCountFrequency (%)
K 8
12.1%
S 8
12.1%
E 7
10.6%
L 5
 
7.6%
I 4
 
6.1%
W 4
 
6.1%
C 4
 
6.1%
A 4
 
6.1%
R 3
 
4.5%
T 3
 
4.5%
Other values (8) 16
24.2%
Decimal Number
ValueCountFrequency (%)
1 213
20.0%
2 167
15.7%
3 125
11.7%
0 98
9.2%
4 91
8.5%
6 89
8.4%
5 86
8.1%
7 78
 
7.3%
8 65
 
6.1%
9 53
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
33.3%
l 3
14.3%
m 2
 
9.5%
i 2
 
9.5%
t 2
 
9.5%
h 1
 
4.8%
s 1
 
4.8%
c 1
 
4.8%
a 1
 
4.8%
u 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 15
88.2%
· 1
 
5.9%
' 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1714
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6328
65.0%
Common 3321
34.1%
Latin 87
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 346
 
5.5%
수 334
 
5.3%
동 288
 
4.6%
시 277
 
4.4%
경 267
 
4.2%
구 266
 
4.2%
도 262
 
4.1%
로 262
 
4.1%
기 259
 
4.1%
영 200
 
3.2%
Other values (224) 3567
56.4%
Latin
ValueCountFrequency (%)
K 8
 
9.2%
S 8
 
9.2%
e 7
 
8.0%
E 7
 
8.0%
L 5
 
5.7%
I 4
 
4.6%
W 4
 
4.6%
C 4
 
4.6%
A 4
 
4.6%
R 3
 
3.4%
Other values (18) 33
37.9%
Common
ValueCountFrequency (%)
1714
51.6%
) 257
 
7.7%
( 257
 
7.7%
1 213
 
6.4%
2 167
 
5.0%
3 125
 
3.8%
0 98
 
3.0%
4 91
 
2.7%
6 89
 
2.7%
5 86
 
2.6%
Other values (7) 224
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6328
65.0%
ASCII 3407
35.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1714
50.3%
) 257
 
7.5%
( 257
 
7.5%
1 213
 
6.3%
2 167
 
4.9%
3 125
 
3.7%
0 98
 
2.9%
4 91
 
2.7%
6 89
 
2.6%
5 86
 
2.5%
Other values (34) 310
 
9.1%
Hangul
ValueCountFrequency (%)
원 346
 
5.5%
수 334
 
5.3%
동 288
 
4.6%
시 277
 
4.4%
경 267
 
4.2%
구 266
 
4.2%
도 262
 
4.1%
로 262
 
4.1%
기 259
 
4.1%
영 200
 
3.2%
Other values (224) 3567
56.4%
None
ValueCountFrequency (%)
· 1
100.0%

지번주소
Text

MISSING 

Distinct449
Distinct (%)80.6%
Missing259
Missing (%)31.7%
Memory size6.5 KiB
2023-12-13T05:02:51.919816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.211849
Min length16

Characters and Unicode

Total characters11258
Distinct characters78
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

Unique420 ?
Unique (%)75.4%

Sample

1st row경기도 수원시 권선구 고색동 958
2nd row경기도 수원시 권선구 고색동 959
3rd row경기도 수원시 권선구 고색동 1144
4th row경기도 수원시 권선구 고색동 1152
5th row경기도 수원시 권선구 고색동 1191
ValueCountFrequency (%)
경기도 557
20.0%
수원시 557
20.0%
영통구 266
 
9.6%
권선구 125
 
4.5%
팔달구 95
 
3.4%
이의동 77
 
2.8%
장안구 71
 
2.6%
인계동 59
 
2.1%
원천동 59
 
2.1%
매탄동 50
 
1.8%
Other values (442) 868
31.2%
2023-12-13T05:02:52.299099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2228
19.8%
원 630
 
5.6%
1 569
 
5.1%
구 560
 
5.0%
수 558
 
5.0%
경 557
 
4.9%
도 557
 
4.9%
시 557
 
4.9%
기 557
 
4.9%
동 545
 
4.8%
Other values (68) 3940
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6676
59.3%
Space Separator 2228
 
19.8%
Decimal Number 2100
 
18.7%
Dash Punctuation 254
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 630
9.4%
구 560
 
8.4%
수 558
 
8.4%
경 557
 
8.3%
도 557
 
8.3%
시 557
 
8.3%
기 557
 
8.3%
동 545
 
8.2%
영 307
 
4.6%
통 303
 
4.5%
Other values (56) 1545
23.1%
Decimal Number
ValueCountFrequency (%)
1 569
27.1%
5 212
 
10.1%
3 208
 
9.9%
2 196
 
9.3%
9 179
 
8.5%
4 173
 
8.2%
6 162
 
7.7%
0 152
 
7.2%
8 149
 
7.1%
7 100
 
4.8%
Space Separator
ValueCountFrequency (%)
2228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6676
59.3%
Common 4582
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 630
9.4%
구 560
 
8.4%
수 558
 
8.4%
경 557
 
8.3%
도 557
 
8.3%
시 557
 
8.3%
기 557
 
8.3%
동 545
 
8.2%
영 307
 
4.6%
통 303
 
4.5%
Other values (56) 1545
23.1%
Common
ValueCountFrequency (%)
2228
48.6%
1 569
 
12.4%
- 254
 
5.5%
5 212
 
4.6%
3 208
 
4.5%
2 196
 
4.3%
9 179
 
3.9%
4 173
 
3.8%
6 162
 
3.5%
0 152
 
3.3%
Other values (2) 249
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6676
59.3%
ASCII 4582
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2228
48.6%
1 569
 
12.4%
- 254
 
5.5%
5 212
 
4.6%
3 208
 
4.5%
2 196
 
4.3%
9 179
 
3.9%
4 173
 
3.8%
6 162
 
3.5%
0 152
 
3.3%
Other values (2) 249
 
5.4%
Hangul
ValueCountFrequency (%)
원 630
9.4%
구 560
 
8.4%
수 558
 
8.4%
경 557
 
8.3%
도 557
 
8.3%
시 557
 
8.3%
기 557
 
8.3%
동 545
 
8.2%
영 307
 
4.6%
통 303
 
4.5%
Other values (56) 1545
23.1%

연면적
Real number (ℝ)

MISSING 

Distinct554
Distinct (%)99.5%
Missing259
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean27625.713
Minimum10024.74
Maximum309099.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-13T05:02:52.456486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10024.74
5-th percentile10554.892
Q112688.94
median16887.625
Q328728.07
95-th percentile67204.342
Maximum309099.67
Range299074.93
Interquartile range (IQR)16039.13

Descriptive statistics

Standard deviation32604.323
Coefficient of variation (CV)1.1802165
Kurtosis25.949839
Mean27625.713
Median Absolute Deviation (MAD)5505.135
Skewness4.5591824
Sum15387522
Variance1.0630419 × 109
MonotonicityNot monotonic
2023-12-13T05:02:52.600163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17719.889 2
 
0.2%
194237.85 2
 
0.2%
14090.2 2
 
0.2%
28728.07 1
 
0.1%
89441.06 1
 
0.1%
68302.43 1
 
0.1%
18164.02 1
 
0.1%
10859.08 1
 
0.1%
15775.64 1
 
0.1%
14900.13 1
 
0.1%
Other values (544) 544
66.7%
(Missing) 259
31.7%
ValueCountFrequency (%)
10024.74 1
0.1%
10027.51 1
0.1%
10082.14 1
0.1%
10087.53 1
0.1%
10095.34 1
0.1%
10096.78 1
0.1%
10097.39 1
0.1%
10118.08 1
0.1%
10150.0 1
0.1%
10152.62 1
0.1%
ValueCountFrequency (%)
309099.67 1
0.1%
274357.93 1
0.1%
233987.23 1
0.1%
214909.88 1
0.1%
199431.5 1
0.1%
198830.42 1
0.1%
194237.85 2
0.2%
160382.626 1
0.1%
158647.57 1
0.1%
145659.98 1
0.1%

세대수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct229
Distinct (%)88.4%
Missing557
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean956.45946
Minimum300
Maximum5282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-13T05:02:52.759675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile357.8
Q1536
median714
Q31132.5
95-th percentile2292.9
Maximum5282
Range4982
Interquartile range (IQR)596.5

Descriptive statistics

Standard deviation688.39815
Coefficient of variation (CV)0.71973584
Kurtosis9.4778063
Mean956.45946
Median Absolute Deviation (MAD)233
Skewness2.6467231
Sum247723
Variance473892.02
MonotonicityIncreasing
2023-12-13T05:02:52.900052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
582 3
 
0.4%
1100 2
 
0.2%
492 2
 
0.2%
500 2
 
0.2%
508 2
 
0.2%
530 2
 
0.2%
1320 2
 
0.2%
552 2
 
0.2%
1185 2
 
0.2%
1152 2
 
0.2%
Other values (219) 238
29.2%
(Missing) 557
68.3%
ValueCountFrequency (%)
300 1
0.1%
312 1
0.1%
317 1
0.1%
320 1
0.1%
322 1
0.1%
332 1
0.1%
341 1
0.1%
344 1
0.1%
348 1
0.1%
350 1
0.1%
ValueCountFrequency (%)
5282 1
0.1%
4086 1
0.1%
3603 1
0.1%
3498 1
0.1%
3432 1
0.1%
3391 1
0.1%
3234 1
0.1%
3129 1
0.1%
2586 1
0.1%
2571 1
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-10-13
816 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-13
2nd row2023-10-13
3rd row2023-10-13
4th row2023-10-13
5th row2023-10-13

Common Values

ValueCountFrequency (%)
2023-10-13 816
100.0%

Length

2023-12-13T05:02:53.033136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:02:53.143028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-13 816
100.0%

Interactions

2023-12-13T05:02:49.206556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:02:49.049476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:02:49.285306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:02:49.136556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:02:53.202115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축물용도연면적세대수
건축물용도1.0000.420NaN
연면적0.4201.000NaN
세대수NaNNaN1.000
2023-12-13T05:02:53.290544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적세대수건축물용도
연면적1.000NaN0.167
세대수NaN1.0001.000
건축물용도0.1671.0001.000

Missing values

2023-12-13T05:02:49.412929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:02:49.543290image/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.
2023-12-13T05:02:49.674030image/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

시군명건축물용도건물명도로명주소지번주소연면적세대수데이터기준일자
0수원시자동차관련시설고색리치아노<NA>경기도 수원시 권선구 고색동 95832590.74<NA>2023-10-13
1수원시공장고색동 첨단벤처밸리<NA>경기도 수원시 권선구 고색동 95940615.79<NA>2023-10-13
2수원시공장휴먼스카이밸리<NA>경기도 수원시 권선구 고색동 114441644.56<NA>2023-10-13
3수원시공장(주)모베이스전자<NA>경기도 수원시 권선구 고색동 115238522.33<NA>2023-10-13
4수원시공장수원벤처밸리Ⅱ<NA>경기도 수원시 권선구 고색동 119184831.39<NA>2023-10-13
5수원시자동차관련시설도이치오토월드<NA>경기도 수원시 권선구 고색동 925274357.93<NA>2023-10-13
6수원시운수시설서수원 이마트<NA>경기도 수원시 권선구 구운동 94257684.93<NA>2023-10-13
7수원시방송통신시설남수원KT지사<NA>경기도 수원시 권선구 권선동 101331798.38<NA>2023-10-13
8수원시업무시설지오베르크<NA>경기도 수원시 권선구 권선동 1013-434511.69<NA>2023-10-13
9수원시업무시설한라비발디파크<NA>경기도 수원시 권선구 권선동 118940552.46<NA>2023-10-13
시군명건축물용도건물명도로명주소지번주소연면적세대수데이터기준일자
806수원시공동주택화서역푸르지오더에듀포레경기도 수원시 장안구 화산로 85 (천천동 화서역푸르지오더에듀포레)<NA><NA>25712023-10-13
807수원시공동주택힐스테이트푸르지오수원경기도 수원시 팔달구 효원로93번길 33<NA><NA>25862023-10-13
808수원시공동주택황골마을주공1단지경기도 수원시 영통구 영통로 498 (영통동 황골마을주공1단지아파트)<NA><NA>31292023-10-13
809수원시공동주택금곡엘지경기도 수원시 권선구 금곡로 45 (금곡동 금곡엘지아파트)<NA><NA>32342023-10-13
810수원시공동주택매탄위브하늘채경기도 수원시 영통구 효원로 363 (매탄동 매탄 위브 하늘채)<NA><NA>33912023-10-13
811수원시공동주택수원센트럴아이파크자이경기도 수원시 팔달구 인계로 21 (인계동)<NA><NA>34322023-10-13
812수원시공동주택SK SKY VIEW경기도 수원시 장안구 이목로 24 (정자동 수원 SK SKY VIEW)<NA><NA>34982023-10-13
813수원시공동주택매교역푸르지오SK뷰경기도 수원시 팔달구 인계로 20<NA><NA>36032023-10-13
814수원시공동주택수원역 푸르지오 자이경기도 수원시 팔달구 고등로 15 (고등동 수원역푸르지오자이)<NA><NA>40862023-10-13
815수원시공동주택한일타운경기도 수원시 장안구 경수대로976번길 22 (조원동 한일타운아파트)<NA><NA>52822023-10-13

Duplicate rows

Most frequently occurring

시군명건축물용도건물명도로명주소지번주소연면적세대수데이터기준일자# duplicates
0수원시교육연구시설전자연구단지<NA>경기도 수원시 영통구 매탄동 56014090.2<NA>2023-10-132
1수원시업무시설광교 더샵<NA>경기도 수원시 영통구 원천동 60417719.889<NA>2023-10-132