Overview

Dataset statistics

Number of variables10
Number of observations65
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory82.0 B

Variable types

Text4
DateTime1
Categorical5

Dataset

Description공단 건축물 현황 및 주요시설
Author창원시설공단
URLhttps://www.data.go.kr/data/15075008/fileData.do

Alerts

주구조 is highly overall correlated with 지붕구조High correlation
지붕구조 is highly overall correlated with 주구조High correlation
대지면적(㎡) has 2 (3.1%) missing valuesMissing
시설명 has unique valuesUnique
연면적(㎡) has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:43:15.442704
Analysis finished2023-12-12 09:43:16.451939
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T18:43:16.644690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8.4153846
Min length3

Characters and Unicode

Total characters547
Distinct characters147
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row시민생활체육관
2nd row창원실내수영장
3rd row의창스포츠센터
4th row북면골프연습장
5th row진해국민체육센터
ValueCountFrequency (%)
진동종합복지관 3
 
4.3%
늘푸른전당 1
 
1.4%
1동 1
 
1.4%
2동 1
 
1.4%
3동 1
 
1.4%
햇빛발전소 1
 
1.4%
성산스포츠센터 1
 
1.4%
내서스포츠센터 1
 
1.4%
감계복지센터 1
 
1.4%
창원종합버스터미널 1
 
1.4%
Other values (57) 57
82.6%
2023-12-12T18:43:17.330978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 29
 
5.3%
원 22
 
4.0%
창 19
 
3.5%
동 19
 
3.5%
관 17
 
3.1%
터 13
 
2.4%
스 12
 
2.2%
시 12
 
2.2%
해 11
 
2.0%
센 11
 
2.0%
Other values (137) 382
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
94.3%
Close Punctuation 11
 
2.0%
Open Punctuation 11
 
2.0%
Space Separator 4
 
0.7%
Decimal Number 3
 
0.5%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 29
 
5.6%
원 22
 
4.3%
창 19
 
3.7%
동 19
 
3.7%
관 17
 
3.3%
터 13
 
2.5%
스 12
 
2.3%
시 12
 
2.3%
해 11
 
2.1%
센 11
 
2.1%
Other values (129) 351
68.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
3 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
94.3%
Common 29
 
5.3%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 29
 
5.6%
원 22
 
4.3%
창 19
 
3.7%
동 19
 
3.7%
관 17
 
3.3%
터 13
 
2.5%
스 12
 
2.3%
시 12
 
2.3%
해 11
 
2.1%
센 11
 
2.1%
Other values (129) 351
68.0%
Common
ValueCountFrequency (%)
) 11
37.9%
( 11
37.9%
4
 
13.8%
1 1
 
3.4%
2 1
 
3.4%
3 1
 
3.4%
Latin
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
94.3%
ASCII 31
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 29
 
5.6%
원 22
 
4.3%
창 19
 
3.7%
동 19
 
3.7%
관 17
 
3.3%
터 13
 
2.5%
스 12
 
2.3%
시 12
 
2.3%
해 11
 
2.1%
센 11
 
2.1%
Other values (129) 351
68.0%
ASCII
ValueCountFrequency (%)
) 11
35.5%
( 11
35.5%
4
 
12.9%
N 1
 
3.2%
C 1
 
3.2%
1 1
 
3.2%
2 1
 
3.2%
3 1
 
3.2%

준공일자
Date

Distinct50
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1978-02-01 00:00:00
Maximum2020-06-03 00:00:00
2023-12-12T18:43:17.473164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:17.621207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대지면적(㎡)
Text

MISSING 

Distinct40
Distinct (%)63.5%
Missing2
Missing (%)3.1%
Memory size652.0 B
2023-12-12T18:43:17.829700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9365079
Min length3

Characters and Unicode

Total characters374
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

Unique31 ?
Unique (%)49.2%

Sample

1st row7,615
2nd row39,626
3rd row9,916
4th row13,883
5th row10,060
ValueCountFrequency (%)
314,449 7
 
11.1%
145,251 5
 
7.9%
212,087 4
 
6.3%
186,487 4
 
6.3%
26,072 3
 
4.8%
82,505 3
 
4.8%
14,977 2
 
3.2%
43,345 2
 
3.2%
292 2
 
3.2%
4,421 1
 
1.6%
Other values (30) 30
47.6%
2023-12-12T18:43:18.158139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 59
15.8%
2 46
12.3%
1 45
12.0%
4 45
12.0%
5 28
7.5%
9 27
7.2%
8 27
7.2%
7 26
7.0%
3 25
6.7%
6 25
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 315
84.2%
Other Punctuation 59
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
14.6%
1 45
14.3%
4 45
14.3%
5 28
8.9%
9 27
8.6%
8 27
8.6%
7 26
8.3%
3 25
7.9%
6 25
7.9%
0 21
6.7%
Other Punctuation
ValueCountFrequency (%)
, 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 59
15.8%
2 46
12.3%
1 45
12.0%
4 45
12.0%
5 28
7.5%
9 27
7.2%
8 27
7.2%
7 26
7.0%
3 25
6.7%
6 25
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 59
15.8%
2 46
12.3%
1 45
12.0%
4 45
12.0%
5 28
7.5%
9 27
7.2%
8 27
7.2%
7 26
7.0%
3 25
6.7%
6 25
6.7%

연면적(㎡)
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T18:43:18.454925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.7846154
Min length2

Characters and Unicode

Total characters311
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row10,617
2nd row14,240
3rd row11,903
4th row3,592
5th row4,127
ValueCountFrequency (%)
10,617 1
 
1.5%
3,789 1
 
1.5%
1,094 1
 
1.5%
440 1
 
1.5%
99(전기실 1
 
1.5%
11,515 1
 
1.5%
7,872 1
 
1.5%
2,740 1
 
1.5%
4,996 1
 
1.5%
267 1
 
1.5%
Other values (55) 55
84.6%
2023-12-12T18:43:18.990072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 53
17.0%
, 47
15.1%
4 32
10.3%
2 30
9.6%
0 24
7.7%
7 21
 
6.8%
9 21
 
6.8%
3 20
 
6.4%
8 18
 
5.8%
6 18
 
5.8%
Other values (9) 27
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 254
81.7%
Other Punctuation 47
 
15.1%
Other Letter 5
 
1.6%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Lowercase Letter 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 53
20.9%
4 32
12.6%
2 30
11.8%
0 24
9.4%
7 21
 
8.3%
9 21
 
8.3%
3 20
 
7.9%
8 18
 
7.1%
6 18
 
7.1%
5 17
 
6.7%
Other Letter
ValueCountFrequency (%)
길 1
20.0%
이 1
20.0%
전 1
20.0%
기 1
20.0%
실 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 305
98.1%
Hangul 5
 
1.6%
Latin 1
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 53
17.4%
, 47
15.4%
4 32
10.5%
2 30
9.8%
0 24
7.9%
7 21
 
6.9%
9 21
 
6.9%
3 20
 
6.6%
8 18
 
5.9%
6 18
 
5.9%
Other values (3) 21
 
6.9%
Hangul
ValueCountFrequency (%)
길 1
20.0%
이 1
20.0%
전 1
20.0%
기 1
20.0%
실 1
20.0%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
98.4%
Hangul 5
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 53
17.3%
, 47
15.4%
4 32
10.5%
2 30
9.8%
0 24
7.8%
7 21
 
6.9%
9 21
 
6.9%
3 20
 
6.5%
8 18
 
5.9%
6 18
 
5.9%
Other values (4) 22
7.2%
Hangul
ValueCountFrequency (%)
길 1
20.0%
이 1
20.0%
전 1
20.0%
기 1
20.0%
실 1
20.0%

주구조
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
철근콘트리트(RC)
34 
철골철근콘크리트(SRC)
17 
일반철골구조
7 
철골조
 
2
철근콘크리트(RC)
 
2
Other values (3)
 
3

Length

Max length13
Median length10
Mean length10.061538
Min length3

Unique

Unique3 ?
Unique (%)4.6%

Sample

1st row철골철근콘크리트(SRC)
2nd row철근콘트리트(RC)
3rd row철골철근콘크리트(SRC)
4th row철근콘트리트(RC)
5th row철근콘트리트(RC)

Common Values

ValueCountFrequency (%)
철근콘트리트(RC) 34
52.3%
철골철근콘크리트(SRC) 17
26.2%
일반철골구조 7
 
10.8%
철골조 2
 
3.1%
철근콘크리트(RC) 2
 
3.1%
철골구조 1
 
1.5%
철근콘크리트조, 철골조 1
 
1.5%
철근콘크리트라멘조 1
 
1.5%

Length

2023-12-12T18:43:19.162978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:43:19.301488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘트리트(rc 34
51.5%
철골철근콘크리트(src 17
25.8%
일반철골구조 7
 
10.6%
철골조 3
 
4.5%
철근콘크리트(rc 2
 
3.0%
철골구조 1
 
1.5%
철근콘크리트조 1
 
1.5%
철근콘크리트라멘조 1
 
1.5%

주용도(건축물대장)
Categorical

Distinct26
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
운동시설
14 
문화및집회시설
9 
자동차관련시설
5 
노유자시설, 운동시설
4 
운동시설, 근린생활시설
4 
Other values (21)
29 

Length

Max length18
Median length17
Mean length7.2
Min length2

Unique

Unique16 ?
Unique (%)24.6%

Sample

1st row운동시설
2nd row운동시설, 근린생활시설
3rd row운동시설, 근린생활시설
4th row운동시설, 근린생활시설
5th row운동시설

Common Values

ValueCountFrequency (%)
운동시설 14
21.5%
문화및집회시설 9
13.8%
자동차관련시설 5
 
7.7%
노유자시설, 운동시설 4
 
6.2%
운동시설, 근린생활시설 4
 
6.2%
<NA> 3
 
4.6%
묘지시설 3
 
4.6%
관람집회시설 3
 
4.6%
문화 및 집회시설 2
 
3.1%
화장장시설 2
 
3.1%
Other values (16) 16
24.6%

Length

2023-12-12T18:43:19.474143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
운동시설 24
29.6%
문화및집회시설 10
12.3%
자동차관련시설 5
 
6.2%
노유자시설 5
 
6.2%
근린생활시설 4
 
4.9%
na 3
 
3.7%
묘지시설 3
 
3.7%
관람집회시설 3
 
3.7%
집회시설 2
 
2.5%
화장장시설 2
 
2.5%
Other values (17) 20
24.7%

지붕구조
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
철근콘트리트(RC)
24 
평슬라브
16 
철골조
4 
철골조(본부석)
 
2
철근콘크리트스라브
 
2
Other values (15)
17 

Length

Max length24
Median length10
Mean length7.0923077
Min length1

Unique

Unique13 ?
Unique (%)20.0%

Sample

1st row철근콘트리트(RC)
2nd row철골조(SS)
3rd row평슬라브
4th row평슬라브
5th row평슬라브

Common Values

ValueCountFrequency (%)
철근콘트리트(RC) 24
36.9%
평슬라브 16
24.6%
철골조 4
 
6.2%
철골조(본부석) 2
 
3.1%
철근콘크리트스라브 2
 
3.1%
슬라브 2
 
3.1%
- 2
 
3.1%
콘크리트스라브 1
 
1.5%
<NA> 1
 
1.5%
평슬라브, 경사지붕 1
 
1.5%
Other values (10) 10
15.4%

Length

2023-12-12T18:43:19.646628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘트리트(rc 24
35.3%
평슬라브 17
25.0%
철골조 4
 
5.9%
철골조(본부석 2
 
2.9%
철근콘크리트스라브 2
 
2.9%
슬라브 2
 
2.9%
2
 
2.9%
막구조+샌드위치판넬 1
 
1.5%
스페이스 1
 
1.5%
강구조 1
 
1.5%
Other values (12) 12
17.6%

층수(지하/지상)
Categorical

Distinct14
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
-/2
14 
-/1
13 
-/3
8 
01월 02일
7 
01월 03일
6 
Other values (9)
17 

Length

Max length7
Median length3
Mean length4.4769231
Min length1

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row02월 06일
2nd row01월 03일
3rd row02월 04일
4th row-/3
5th row02월 03일

Common Values

ValueCountFrequency (%)
-/2 14
21.5%
-/1 13
20.0%
-/3 8
12.3%
01월 02일 7
10.8%
01월 03일 6
9.2%
01월 04일 4
 
6.2%
02월 03일 3
 
4.6%
02월 04일 2
 
3.1%
- 2
 
3.1%
-/4 2
 
3.1%
Other values (4) 4
 
6.2%

Length

2023-12-12T18:43:19.787335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
01월 18
20.0%
2 14
15.6%
1 13
14.4%
03일 9
10.0%
3 8
8.9%
02일 7
 
7.8%
02월 7
 
7.8%
04일 6
 
6.7%
3
 
3.3%
4 2
 
2.2%
Other values (2) 3
 
3.3%

시특법(정밀점검)
Categorical

Distinct8
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
38 
양호(B)
12 
보통(C)
5 
B
4 
보통(B)
 
2
Other values (3)
4 

Length

Max length7
Median length4
Mean length4.2
Min length1

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row보통(C)
2nd row보통(C)
3rd row양호(B)
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
58.5%
양호(B) 12
 
18.5%
보통(C) 5
 
7.7%
B 4
 
6.2%
보통(B) 2
 
3.1%
제2종대상시설 2
 
3.1%
- 1
 
1.5%
제3종대상시설 1
 
1.5%

Length

2023-12-12T18:43:19.951643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:43:20.098228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
58.5%
양호(b 12
 
18.5%
보통(c 5
 
7.7%
b 4
 
6.2%
보통(b 2
 
3.1%
제2종대상시설 2
 
3.1%
1
 
1.5%
제3종대상시설 1
 
1.5%

주요시설
Text

Distinct61
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T18:43:20.358603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length17.876923
Min length3

Characters and Unicode

Total characters1162
Distinct characters189
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

Unique57 ?
Unique (%)87.7%

Sample

1st row수영장(50M/8레인), 볼링장, 베드민턴장 등
2nd row수영장(50M/8레인), 다이빙, 헬스장
3rd row수영장(25M/6레인), 빙상장, 스쿼시 등
4th row1, 2층 48타석, 비거리 210m
5th row수영장, 헬스장, 다목적실, 사무실 등
ValueCountFrequency (%)
등 37
 
15.9%
헬스장 8
 
3.4%
사무실 8
 
3.4%
전시실 5
 
2.1%
식당 5
 
2.1%
수영장(25m/6레인 5
 
2.1%
주차장 4
 
1.7%
분향실 4
 
1.7%
수영장 4
 
1.7%
체력단련실 3
 
1.3%
Other values (116) 150
64.4%
2023-12-12T18:43:20.799068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
14.5%
, 121
 
10.4%
장 63
 
5.4%
실 57
 
4.9%
등 37
 
3.2%
시 19
 
1.6%
사 19
 
1.6%
2 19
 
1.6%
( 17
 
1.5%
) 17
 
1.5%
Other values (179) 625
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 730
62.8%
Space Separator 168
 
14.5%
Other Punctuation 131
 
11.3%
Decimal Number 74
 
6.4%
Open Punctuation 17
 
1.5%
Close Punctuation 17
 
1.5%
Uppercase Letter 12
 
1.0%
Lowercase Letter 10
 
0.9%
Math Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 63
 
8.6%
실 57
 
7.8%
등 37
 
5.1%
시 19
 
2.6%
사 19
 
2.6%
인 15
 
2.1%
수 15
 
2.1%
무 14
 
1.9%
대 13
 
1.8%
스 12
 
1.6%
Other values (158) 466
63.8%
Decimal Number
ValueCountFrequency (%)
2 19
25.7%
5 13
17.6%
1 13
17.6%
0 12
16.2%
6 8
10.8%
8 7
 
9.5%
4 2
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
M 7
58.3%
K 3
25.0%
T 1
 
8.3%
R 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
~ 1
33.3%
+ 1
33.3%
× 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 121
92.4%
/ 10
 
7.6%
Lowercase Letter
ValueCountFrequency (%)
m 7
70.0%
w 3
30.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 730
62.8%
Common 410
35.3%
Latin 22
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 63
 
8.6%
실 57
 
7.8%
등 37
 
5.1%
시 19
 
2.6%
사 19
 
2.6%
인 15
 
2.1%
수 15
 
2.1%
무 14
 
1.9%
대 13
 
1.8%
스 12
 
1.6%
Other values (158) 466
63.8%
Common
ValueCountFrequency (%)
168
41.0%
, 121
29.5%
2 19
 
4.6%
( 17
 
4.1%
) 17
 
4.1%
5 13
 
3.2%
1 13
 
3.2%
0 12
 
2.9%
/ 10
 
2.4%
6 8
 
2.0%
Other values (5) 12
 
2.9%
Latin
ValueCountFrequency (%)
m 7
31.8%
M 7
31.8%
K 3
13.6%
w 3
13.6%
T 1
 
4.5%
R 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 730
62.8%
ASCII 431
37.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
39.0%
, 121
28.1%
2 19
 
4.4%
( 17
 
3.9%
) 17
 
3.9%
5 13
 
3.0%
1 13
 
3.0%
0 12
 
2.8%
/ 10
 
2.3%
6 8
 
1.9%
Other values (10) 33
 
7.7%
Hangul
ValueCountFrequency (%)
장 63
 
8.6%
실 57
 
7.8%
등 37
 
5.1%
시 19
 
2.6%
사 19
 
2.6%
인 15
 
2.1%
수 15
 
2.1%
무 14
 
1.9%
대 13
 
1.8%
스 12
 
1.6%
Other values (158) 466
63.8%
None
ValueCountFrequency (%)
× 1
100.0%

Correlations

2023-12-12T18:43:20.928830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명준공일자대지면적(㎡)연면적(㎡)주구조주용도(건축물대장)지붕구조층수(지하/지상)시특법(정밀점검)주요시설
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
준공일자1.0001.0001.0001.0000.8820.9880.8540.0001.0000.000
대지면적(㎡)1.0001.0001.0001.0000.8650.9860.8590.7530.0000.915
연면적(㎡)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주구조1.0000.8820.8651.0001.0000.7720.8670.6170.5250.625
주용도(건축물대장)1.0000.9880.9861.0000.7721.0000.5940.7310.8780.851
지붕구조1.0000.8540.8591.0000.8670.5941.0000.6760.6080.999
층수(지하/지상)1.0000.0000.7531.0000.6170.7310.6761.0000.4490.992
시특법(정밀점검)1.0001.0000.0001.0000.5250.8780.6080.4491.0001.000
주요시설1.0000.0000.9151.0000.6250.8510.9990.9921.0001.000
2023-12-12T18:43:21.089294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
층수(지하/지상)주구조주용도(건축물대장)시특법(정밀점검)지붕구조
층수(지하/지상)1.0000.3060.2740.1700.271
주구조0.3061.0000.3740.3420.538
주용도(건축물대장)0.2740.3741.0000.3910.170
시특법(정밀점검)0.1700.3420.3911.0000.314
지붕구조0.2710.5380.1700.3141.000
2023-12-12T18:43:21.199885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주구조주용도(건축물대장)지붕구조층수(지하/지상)시특법(정밀점검)
주구조1.0000.3740.5380.3060.342
주용도(건축물대장)0.3741.0000.1700.2740.391
지붕구조0.5380.1701.0000.2710.314
층수(지하/지상)0.3060.2740.2711.0000.170
시특법(정밀점검)0.3420.3910.3140.1701.000

Missing values

2023-12-12T18:43:16.215997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:43:16.392970image/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

시설명준공일자대지면적(㎡)연면적(㎡)주구조주용도(건축물대장)지붕구조층수(지하/지상)시특법(정밀점검)주요시설
0시민생활체육관1992.4.17,61510,617철골철근콘크리트(SRC)운동시설철근콘트리트(RC)02월 06일보통(C)수영장(50M/8레인), 볼링장, 베드민턴장 등
1창원실내수영장1997.11.339,62614,240철근콘트리트(RC)운동시설, 근린생활시설철골조(SS)01월 03일보통(C)수영장(50M/8레인), 다이빙, 헬스장
2의창스포츠센터2009.4.29,91611,903철골철근콘크리트(SRC)운동시설, 근린생활시설평슬라브02월 04일양호(B)수영장(25M/6레인), 빙상장, 스쿼시 등
3북면골프연습장2020.6.313,8833,592철근콘트리트(RC)운동시설, 근린생활시설평슬라브-/3<NA>1, 2층 48타석, 비거리 210m
4진해국민체육센터2002.12.710,0604,127철근콘트리트(RC)운동시설평슬라브02월 03일<NA>수영장, 헬스장, 다목적실, 사무실 등
5제황산모노레일2009.3.24292174m(길이)철골구조<NA>--B모노레일 시설물
6모노레일승하차장2009.3.24292384철근콘트리트(RC)관광휴게시설평슬라브-/3<NA>승하차장, 편의시설
7진해공설운동장2008.8.2565,65711,710철근콘트리트(RC)운동시설막구조(본부석)-/2B축구장, 육상경기장, 야구장 등
8용원국민체육센터2017.2.2818,1432,454철근콘트리트(RC)운동시설철근콘트리트(RC)01월 02일<NA>수영장(25M/6레인, 어린이풀), 체력단련장, 다목적실 등
9축구센터주경기장2009.12.14212,08710,393철근콘트리트(RC)문화및집회시설철골조(본부석)01월 03일보통(B)천연잔디구장, 관람석
시설명준공일자대지면적(㎡)연면적(㎡)주구조주용도(건축물대장)지붕구조층수(지하/지상)시특법(정밀점검)주요시설
55창원시립상복공원(봉안당)2012.01.20.<NA>4,282철골철근콘크리트(SRC)묘지시설철근콘트리트(RC)01월 02일양호(B)봉안실, 제례실, 헌화대
56마산화장장1978.2.1.2,482482철골철근콘크리트(SRC)화장장시설철근콘트리트(RC)-/1양호(B)화장로, 분향실, 고별실, 수솔실, 휴게동, 안내접수실
57마산봉안당2003.1.20.6,6731,407철골철근콘크리트(SRC)묘지시설철근콘트리트(RC)-/2양호(B)붕안실, 분향실, 제례실, 사무실
58진해봉안당1999.9.15,3501,104철골철근콘크리트(SRC)묘지시설철근콘트리트(RC)-/2양호(B)붕안실, 분향실, 제례실, 사무실
59해전사체험관2003.12.2782,5051,881철근콘트리트(RC)문화및집회시설, 1종근린생활시설평슬라브-/2B전시실, 사무실 등
60해양공원주차타워2008.8.2982,5056,289일반철골구조문화및집회시설철근콘트리트(RC)-/3<NA>주차장 등
61해양생물테마파크2006.6.1282,5051,925일반철골구조문화및집회시설평슬라브-/3<NA>전시실, 사무실 등
62어류생태학습관2015.5.14,4211,865철근콘트리트(RC)문화및집회시설철근콘트리트(RC)-/2<NA>전시실, 수족관, 교육실 등
63해양솔라파크(전시동)2012.12.1314,9776,100철근콘트리트(RC)문화및집회시설스페이스 후레임-/4양호(B)전시실, 사무실, 대회의장, 소회의장 등
64해양솔라파크(타워동)2012.12.1314,9771,202철근콘트리트(RC)문화및집회시설철골조-/4양호(B)전시실, 전망대 등