Overview

Dataset statistics

Number of variables5
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory43.2 B

Variable types

Numeric2
Text3

Dataset

Description부산광역시_금정구_석면조사대상건축물_20230221
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15047991

Alerts

연번 has unique valuesUnique
석면면적 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:52:41.605835
Analysis finished2023-12-10 16:52:42.700323
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:52:42.807184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2023-12-11T01:52:43.010873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
Distinct56
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T01:52:43.316308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.7962963
Min length4

Characters and Unicode

Total characters734
Distinct characters139
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

Unique52 ?
Unique (%)48.1%

Sample

1st row부산종합버스터미널
2nd row부산종합버스터미널
3rd row성산어린이집
4th row늘푸른어린이집
5th row해맑은어린이집
ValueCountFrequency (%)
부산대학교 39
33.1%
부산가톨릭대학교 13
 
11.0%
금정체육공원 3
 
2.5%
부산종합버스터미널 2
 
1.7%
건설안전시험사업소 2
 
1.7%
금정농협 2
 
1.7%
태정빌딩 1
 
0.8%
전문요양원(i동 1
 
0.8%
노인치매 1
 
0.8%
애광 1
 
0.8%
Other values (53) 53
44.9%
2023-12-11T01:52:43.817447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
8.6%
63
 
8.6%
57
 
7.8%
55
 
7.5%
53
 
7.2%
17
 
2.3%
17
 
2.3%
16
 
2.2%
15
 
2.0%
13
 
1.8%
Other values (129) 365
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
96.6%
Space Separator 11
 
1.5%
Decimal Number 5
 
0.7%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
 
8.9%
63
 
8.9%
57
 
8.0%
55
 
7.8%
53
 
7.5%
17
 
2.4%
17
 
2.4%
16
 
2.3%
15
 
2.1%
13
 
1.8%
Other values (120) 340
48.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
3 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
96.6%
Common 22
 
3.0%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
 
8.9%
63
 
8.9%
57
 
8.0%
55
 
7.8%
53
 
7.5%
17
 
2.4%
17
 
2.4%
16
 
2.3%
15
 
2.1%
13
 
1.8%
Other values (120) 340
48.0%
Common
ValueCountFrequency (%)
11
50.0%
) 3
 
13.6%
( 3
 
13.6%
2 2
 
9.1%
1 2
 
9.1%
3 1
 
4.5%
Latin
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
96.6%
ASCII 25
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
63
 
8.9%
63
 
8.9%
57
 
8.0%
55
 
7.8%
53
 
7.5%
17
 
2.4%
17
 
2.4%
16
 
2.3%
15
 
2.1%
13
 
1.8%
Other values (120) 340
48.0%
ASCII
ValueCountFrequency (%)
11
44.0%
) 3
 
12.0%
( 3
 
12.0%
2 2
 
8.0%
1 2
 
8.0%
P 1
 
4.0%
C 1
 
4.0%
I 1
 
4.0%
3 1
 
4.0%

동명
Text

Distinct87
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T01:52:44.147249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length5.0185185
Min length2

Characters and Unicode

Total characters542
Distinct characters155
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

Unique79 ?
Unique (%)73.1%

Sample

1st row경비실
2nd row화물취급소
3rd row구서동
4th row늘푸른어린이집
5th row해맑은어린이집
ValueCountFrequency (%)
부곡동 6
 
5.1%
구서동 5
 
4.3%
서동 5
 
4.3%
장전동 3
 
2.6%
본관 3
 
2.6%
남산동 3
 
2.6%
대학본부관 2
 
1.7%
학생회관 2
 
1.7%
경비실 2
 
1.7%
기계기술연구동 1
 
0.9%
Other values (85) 85
72.6%
2023-12-11T01:52:44.649018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
7.9%
42
 
7.7%
24
 
4.4%
18
 
3.3%
14
 
2.6%
13
 
2.4%
13
 
2.4%
13
 
2.4%
12
 
2.2%
11
 
2.0%
Other values (145) 339
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
91.1%
Decimal Number 21
 
3.9%
Space Separator 10
 
1.8%
Uppercase Letter 6
 
1.1%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%
Other Punctuation 2
 
0.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
 
8.7%
42
 
8.5%
24
 
4.9%
18
 
3.6%
14
 
2.8%
13
 
2.6%
13
 
2.6%
13
 
2.6%
12
 
2.4%
11
 
2.2%
Other values (127) 291
58.9%
Decimal Number
ValueCountFrequency (%)
2 8
38.1%
1 5
23.8%
3 2
 
9.5%
6 1
 
4.8%
8 1
 
4.8%
9 1
 
4.8%
0 1
 
4.8%
7 1
 
4.8%
5 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
I 1
 
16.7%
C 1
 
16.7%
P 1
 
16.7%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 494
91.1%
Common 42
 
7.7%
Latin 6
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
 
8.7%
42
 
8.5%
24
 
4.9%
18
 
3.6%
14
 
2.8%
13
 
2.6%
13
 
2.6%
13
 
2.6%
12
 
2.4%
11
 
2.2%
Other values (127) 291
58.9%
Common
ValueCountFrequency (%)
10
23.8%
2 8
19.0%
1 5
11.9%
) 4
 
9.5%
( 4
 
9.5%
3 2
 
4.8%
, 2
 
4.8%
6 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
Other values (4) 4
 
9.5%
Latin
ValueCountFrequency (%)
A 3
50.0%
I 1
 
16.7%
C 1
 
16.7%
P 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 494
91.1%
ASCII 48
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
43
 
8.7%
42
 
8.5%
24
 
4.9%
18
 
3.6%
14
 
2.8%
13
 
2.6%
13
 
2.6%
13
 
2.6%
12
 
2.4%
11
 
2.2%
Other values (127) 291
58.9%
ASCII
ValueCountFrequency (%)
10
20.8%
2 8
16.7%
1 5
10.4%
) 4
 
8.3%
( 4
 
8.3%
A 3
 
6.2%
3 2
 
4.2%
, 2
 
4.2%
I 1
 
2.1%
6 1
 
2.1%
Other values (8) 8
16.7%

주소
Text

Distinct63
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T01:52:44.864627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length48
Mean length37.083333
Min length21

Characters and Unicode

Total characters4005
Distinct characters153
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

Unique57 ?
Unique (%)52.8%

Sample

1st row부산광역시 금정구 중앙대로 2238, 부산종합버스터미널 (노포동)
2nd row부산광역시 금정구 중앙대로 2238, 부산종합버스터미널 (노포동)
3rd row부산광역시 금정구 금강로380번길 21, 성산어린이집 (구서동)
4th row부산광역시 금정구 학산로13번길 6 (남산동, 미주빌리지)
5th row부산광역시 금정구 금단로 113-13, 한국이슬람교 부산성원 B동 (남산동)
ValueCountFrequency (%)
금정구 113
18.9%
부산광역시 108
18.0%
부산대학로63번길 37
 
6.2%
2 37
 
6.2%
장전동)(엔씨백화점부산대점 37
 
6.2%
중앙대로 8
 
1.3%
기찰로102번길 8
 
1.3%
56-7 8
 
1.3%
장전동 8
 
1.3%
부곡동)(부산가톨릭대학교신학대학 7
 
1.2%
Other values (172) 228
38.1%
2023-12-11T01:52:45.209642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
491
 
12.3%
248
 
6.2%
220
 
5.5%
( 187
 
4.7%
) 187
 
4.7%
156
 
3.9%
142
 
3.5%
142
 
3.5%
124
 
3.1%
115
 
2.9%
Other values (143) 1993
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2700
67.4%
Space Separator 491
 
12.3%
Decimal Number 410
 
10.2%
Open Punctuation 187
 
4.7%
Close Punctuation 187
 
4.7%
Dash Punctuation 17
 
0.4%
Other Punctuation 12
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
248
 
9.2%
220
 
8.1%
156
 
5.8%
142
 
5.3%
142
 
5.3%
124
 
4.6%
115
 
4.3%
113
 
4.2%
112
 
4.1%
111
 
4.1%
Other values (126) 1217
45.1%
Decimal Number
ValueCountFrequency (%)
2 78
19.0%
3 76
18.5%
6 59
14.4%
1 52
12.7%
7 42
10.2%
5 31
 
7.6%
9 27
 
6.6%
0 22
 
5.4%
4 15
 
3.7%
8 8
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
: 4
33.3%
Space Separator
ValueCountFrequency (%)
491
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2700
67.4%
Common 1304
32.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
248
 
9.2%
220
 
8.1%
156
 
5.8%
142
 
5.3%
142
 
5.3%
124
 
4.6%
115
 
4.3%
113
 
4.2%
112
 
4.1%
111
 
4.1%
Other values (126) 1217
45.1%
Common
ValueCountFrequency (%)
491
37.7%
( 187
 
14.3%
) 187
 
14.3%
2 78
 
6.0%
3 76
 
5.8%
6 59
 
4.5%
1 52
 
4.0%
7 42
 
3.2%
5 31
 
2.4%
9 27
 
2.1%
Other values (6) 74
 
5.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2700
67.4%
ASCII 1305
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
491
37.6%
( 187
 
14.3%
) 187
 
14.3%
2 78
 
6.0%
3 76
 
5.8%
6 59
 
4.5%
1 52
 
4.0%
7 42
 
3.2%
5 31
 
2.4%
9 27
 
2.1%
Other values (7) 75
 
5.7%
Hangul
ValueCountFrequency (%)
248
 
9.2%
220
 
8.1%
156
 
5.8%
142
 
5.3%
142
 
5.3%
124
 
4.6%
115
 
4.3%
113
 
4.2%
112
 
4.1%
111
 
4.1%
Other values (126) 1217
45.1%

석면면적
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2028.3866
Minimum54.82
Maximum11025.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:52:45.369186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.82
5-th percentile93.6295
Q1366.425
median1213.24
Q32956.61
95-th percentile6120.185
Maximum11025.73
Range10970.91
Interquartile range (IQR)2590.185

Descriptive statistics

Standard deviation2239.1267
Coefficient of variation (CV)1.1038954
Kurtosis2.4110375
Mean2028.3866
Median Absolute Deviation (MAD)1021.895
Skewness1.5706956
Sum219065.75
Variance5013688.4
MonotonicityNot monotonic
2023-12-11T01:52:45.530026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.82 1
 
0.9%
160.74 1
 
0.9%
11025.73 1
 
0.9%
3960.22 1
 
0.9%
4155.11 1
 
0.9%
3158.75 1
 
0.9%
2216.44 1
 
0.9%
2191.65 1
 
0.9%
1274.96 1
 
0.9%
1364.77 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
54.82 1
0.9%
61.2 1
0.9%
63.38 1
0.9%
78.91 1
0.9%
79.36 1
0.9%
90.77 1
0.9%
98.94 1
0.9%
111.24 1
0.9%
111.97 1
0.9%
115.42 1
0.9%
ValueCountFrequency (%)
11025.73 1
0.9%
9291.76 1
0.9%
7932.29 1
0.9%
6666.19 1
0.9%
6535.01 1
0.9%
6123.93 1
0.9%
6113.23 1
0.9%
6085.26 1
0.9%
5789.43 1
0.9%
5767.29 1
0.9%

Interactions

2023-12-11T01:52:42.330615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:42.121155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:42.418008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:42.234734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:52:45.661797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건축물명(상호)동명주소석면면적
연번1.0000.8120.3870.8930.331
건축물명(상호)0.8121.0000.0001.0000.000
동명0.3870.0001.0000.0000.947
주소0.8931.0000.0001.0000.000
석면면적0.3310.0000.9470.0001.000
2023-12-11T01:52:45.773256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번석면면적
연번1.0000.154
석면면적0.1541.000

Missing values

2023-12-11T01:52:42.535602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:42.647198image/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

연번건축물명(상호)동명주소석면면적
01부산종합버스터미널경비실부산광역시 금정구 중앙대로 2238, 부산종합버스터미널 (노포동)54.82
12부산종합버스터미널화물취급소부산광역시 금정구 중앙대로 2238, 부산종합버스터미널 (노포동)1149.3
23성산어린이집구서동부산광역시 금정구 금강로380번길 21, 성산어린이집 (구서동)167.0
34늘푸른어린이집늘푸른어린이집부산광역시 금정구 학산로13번길 6 (남산동, 미주빌리지)117.31
45해맑은어린이집해맑은어린이집부산광역시 금정구 금단로 113-13, 한국이슬람교 부산성원 B동 (남산동)284.62
56꿈동산어린이집꿈동산어린이집부산광역시 금정구 금강로391번길 16 (구서동)111.97
67이레어린이집이레어린이집부산광역시 금정구 팔송로7번길 76, 1층 (남산동)90.77
78금정문화회관대공연장부산광역시 금정구 체육공원로 7 (구서동)구서동429.5
89부광교회부곡동부산광역시 금정구 부곡로 25-7 (부곡동)부곡동429.31
910부산가톨릭대학교미카엘관부산광역시 금정구 오륜대로 57 (부곡동)부곡동111.24
연번건축물명(상호)동명주소석면면적
9899부산가톨릭대학교수위실부산광역시 금정구 기찰로102번길 56-7 (부곡동)(부산가톨릭대학교신학대학)63.38
99100부산가톨릭대학교별관부산광역시 금정구 기찰로102번길 56-7 (부곡동)(부산가톨릭대학교신학대학)329.71
100101부산가톨릭대학교성당,식당부산광역시 금정구 기찰로102번길 56-7 (부곡동)(부산가톨릭대학교신학대학)1468.75
101102부산가톨릭대학교학생관2 (학생기숙사)부산광역시 금정구 기찰로102번길 56-7 (부곡동)(부산가톨릭대학교신학대학)1940.24
102103부산가톨릭대학교학생관, 경비실부산광역시 금정구 기찰로102번길 56-7 (부곡동)3437.27
103104부산가톨릭대학교대학본부2부산광역시 금정구 기찰로102번길 56-7 (부곡동)(부산가톨릭대학교신학대학)675.7
104105부산가톨릭대학교대학본부 (영성수련원)부산광역시 금정구 기찰로102번길 56-7 (부곡동)(부산가톨릭대학교신학대학)1186.12
105106동상라이프타운동상라이프타운부산광역시 금정구 서동로175번길 46 (서동)(동상라이프타운)6113.23
106107남산내과신경과병원구서동부산광역시 금정구 중앙대로 1917 (구서동)(남산내과신경과병원) 구사2동 184-34542.36
107108꾸미랑어린이집꾸미랑어린이집부산광역시 금정구 서부곡로15번길 34 (부곡동)(꾸미랑어린이집)191.27