Overview

Dataset statistics

Number of variables6
Number of observations34
Missing cells33
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory52.9 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description부산광역시영도구_부산광역시영도구_급경사지정보_20230619
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3070044

Alerts

비고 has constant value ""Constant
시행청명 is highly overall correlated with 관리주체구분High correlation
관리주체구분 is highly overall correlated with 시행청명High correlation
비고 has 33 (97.1%) missing valuesMissing
번호 has unique valuesUnique
급경사지명 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:06:44.526775
Analysis finished2023-12-10 17:06:45.200873
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T02:06:45.278008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-11T02:06:45.449445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

급경사지명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:06:45.744446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.2941176
Min length5

Characters and Unicode

Total characters316
Distinct characters112
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

Unique34 ?
Unique (%)100.0%

Sample

1st row종합사격장~백련사
2nd row대성주유소 뒤 절개지
3rd row목장원~종합사격장
4th row동산파크옆 오르막길
5th row신춘빌라 옆 사면
ValueCountFrequency (%)
사면 16
 
20.8%
옹벽 6
 
7.8%
뒤 5
 
6.5%
옆 4
 
5.2%
종합사격장~백련사 1
 
1.3%
대성주유소 1
 
1.3%
국제마마아파트 1
 
1.3%
절영2차아파트 1
 
1.3%
영선2지구 1
 
1.3%
동삼주공아파트옹벽 1
 
1.3%
Other values (40) 40
51.9%
2023-12-11T02:06:46.265197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
13.6%
사 21
 
6.6%
면 17
 
5.4%
아 11
 
3.5%
파 11
 
3.5%
트 9
 
2.8%
벽 7
 
2.2%
주 7
 
2.2%
옹 7
 
2.2%
동 6
 
1.9%
Other values (102) 177
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
84.5%
Space Separator 43
 
13.6%
Decimal Number 4
 
1.3%
Math Symbol 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 21
 
7.9%
면 17
 
6.4%
아 11
 
4.1%
파 11
 
4.1%
트 9
 
3.4%
벽 7
 
2.6%
주 7
 
2.6%
옹 7
 
2.6%
동 6
 
2.2%
뒤 5
 
1.9%
Other values (97) 166
62.2%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
8 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
84.5%
Common 49
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 21
 
7.9%
면 17
 
6.4%
아 11
 
4.1%
파 11
 
4.1%
트 9
 
3.4%
벽 7
 
2.6%
주 7
 
2.6%
옹 7
 
2.6%
동 6
 
2.2%
뒤 5
 
1.9%
Other values (97) 166
62.2%
Common
ValueCountFrequency (%)
43
87.8%
2 2
 
4.1%
~ 2
 
4.1%
8 1
 
2.0%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
84.5%
ASCII 49
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
87.8%
2 2
 
4.1%
~ 2
 
4.1%
8 1
 
2.0%
1 1
 
2.0%
Hangul
ValueCountFrequency (%)
사 21
 
7.9%
면 17
 
6.4%
아 11
 
4.1%
파 11
 
4.1%
트 9
 
3.4%
벽 7
 
2.6%
주 7
 
2.6%
옹 7
 
2.6%
동 6
 
2.2%
뒤 5
 
1.9%
Other values (97) 166
62.2%

시행청명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
영도구
21 
영도구청
7 
한국자산관리공사
 
1
아파트관리사무소
 
1
행정안전부
 
1
Other values (3)
3 

Length

Max length9
Median length3
Mean length3.9705882
Min length3

Unique

Unique6 ?
Unique (%)17.6%

Sample

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

Common Values

ValueCountFrequency (%)
영도구 21
61.8%
영도구청 7
 
20.6%
한국자산관리공사 1
 
2.9%
아파트관리사무소 1
 
2.9%
행정안전부 1
 
2.9%
청학모자원 건축주 1
 
2.9%
한국토지주택공사 1
 
2.9%
부산관광공사 1
 
2.9%

Length

2023-12-11T02:06:46.499626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:06:46.709489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영도구 21
60.0%
영도구청 7
 
20.0%
한국자산관리공사 1
 
2.9%
아파트관리사무소 1
 
2.9%
행정안전부 1
 
2.9%
청학모자원 1
 
2.9%
건축주 1
 
2.9%
한국토지주택공사 1
 
2.9%
부산관광공사 1
 
2.9%

관리주체구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
기타(개인,기업)
16 
지자체(시군구)
14 
지방산림청
2 
한국토지주택공사
 
1
부산관광공사
 
1

Length

Max length9
Median length8
Mean length8.2352941
Min length5

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row지자체(시군구)
2nd row지자체(시군구)
3rd row지자체(시군구)
4th row지자체(시군구)
5th row지자체(시군구)

Common Values

ValueCountFrequency (%)
기타(개인,기업) 16
47.1%
지자체(시군구) 14
41.2%
지방산림청 2
 
5.9%
한국토지주택공사 1
 
2.9%
부산관광공사 1
 
2.9%

Length

2023-12-11T02:06:46.946167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:06:47.153833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타(개인,기업 16
47.1%
지자체(시군구 14
41.2%
지방산림청 2
 
5.9%
한국토지주택공사 1
 
2.9%
부산관광공사 1
 
2.9%

위치
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:06:47.461102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length19.588235
Min length16

Characters and Unicode

Total characters666
Distinct characters34
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

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 영도구 영선동4가 산 30
2nd row부산광역시 영도구 청학동48-236
3rd row부산광역시 영도구 동삼동 산 149-8
4th row부산광역시 영도구 동삼동672-5
5th row부산광역시 영도구 동삼동537
ValueCountFrequency (%)
부산광역시 34
28.3%
영도구 34
28.3%
산 6
 
5.0%
동삼동 4
 
3.3%
영선동4가 3
 
2.5%
청학동 2
 
1.7%
7-5 1
 
0.8%
청학동131-2 1
 
0.8%
청학동391-398 1
 
0.8%
영선동4가1210-9 1
 
0.8%
Other values (33) 33
27.5%
2023-12-11T02:06:48.093895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
17.3%
동 48
 
7.2%
산 40
 
6.0%
영 40
 
6.0%
부 34
 
5.1%
광 34
 
5.1%
역 34
 
5.1%
시 34
 
5.1%
도 34
 
5.1%
구 34
 
5.1%
Other values (24) 219
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
59.0%
Decimal Number 135
 
20.3%
Space Separator 115
 
17.3%
Dash Punctuation 23
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
12.2%
산 40
10.2%
영 40
10.2%
부 34
8.7%
광 34
8.7%
역 34
8.7%
시 34
8.7%
도 34
8.7%
구 34
8.7%
삼 14
 
3.6%
Other values (12) 47
12.0%
Decimal Number
ValueCountFrequency (%)
1 22
16.3%
5 19
14.1%
4 16
11.9%
3 15
11.1%
2 15
11.1%
0 15
11.1%
8 9
6.7%
7 9
6.7%
6 8
 
5.9%
9 7
 
5.2%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
59.0%
Common 273
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
12.2%
산 40
10.2%
영 40
10.2%
부 34
8.7%
광 34
8.7%
역 34
8.7%
시 34
8.7%
도 34
8.7%
구 34
8.7%
삼 14
 
3.6%
Other values (12) 47
12.0%
Common
ValueCountFrequency (%)
115
42.1%
- 23
 
8.4%
1 22
 
8.1%
5 19
 
7.0%
4 16
 
5.9%
3 15
 
5.5%
2 15
 
5.5%
0 15
 
5.5%
8 9
 
3.3%
7 9
 
3.3%
Other values (2) 15
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
59.0%
ASCII 273
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
42.1%
- 23
 
8.4%
1 22
 
8.1%
5 19
 
7.0%
4 16
 
5.9%
3 15
 
5.5%
2 15
 
5.5%
0 15
 
5.5%
8 9
 
3.3%
7 9
 
3.3%
Other values (2) 15
 
5.5%
Hangul
ValueCountFrequency (%)
동 48
12.2%
산 40
10.2%
영 40
10.2%
부 34
8.7%
광 34
8.7%
역 34
8.7%
시 34
8.7%
도 34
8.7%
구 34
8.7%
삼 14
 
3.6%
Other values (12) 47
12.0%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2023-12-11T02:06:48.360760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters10
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

Unique1 ?
Unique (%)100.0%

Sample

1st row급경사지 붕괴위험지역
ValueCountFrequency (%)
급경사지 1
50.0%
붕괴위험지역 1
50.0%
2023-12-11T02:06:48.824103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
18.2%
급 1
9.1%
경 1
9.1%
사 1
9.1%
1
9.1%
붕 1
9.1%
괴 1
9.1%
위 1
9.1%
험 1
9.1%
역 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
90.9%
Space Separator 1
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
20.0%
급 1
10.0%
경 1
10.0%
사 1
10.0%
붕 1
10.0%
괴 1
10.0%
위 1
10.0%
험 1
10.0%
역 1
10.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
90.9%
Common 1
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
20.0%
급 1
10.0%
경 1
10.0%
사 1
10.0%
붕 1
10.0%
괴 1
10.0%
위 1
10.0%
험 1
10.0%
역 1
10.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
90.9%
ASCII 1
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
20.0%
급 1
10.0%
경 1
10.0%
사 1
10.0%
붕 1
10.0%
괴 1
10.0%
위 1
10.0%
험 1
10.0%
역 1
10.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Interactions

2023-12-11T02:06:44.833236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:06:49.018233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호급경사지명시행청명관리주체구분위치
번호1.0001.0000.4040.5371.000
급경사지명1.0001.0001.0001.0001.000
시행청명0.4041.0001.0000.7941.000
관리주체구분0.5371.0000.7941.0001.000
위치1.0001.0001.0001.0001.000
2023-12-11T02:06:49.587055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리주체구분시행청명
관리주체구분1.0000.612
시행청명0.6121.000
2023-12-11T02:06:49.740046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시행청명관리주체구분
번호1.0000.1720.209
시행청명0.1721.0000.612
관리주체구분0.2090.6121.000

Missing values

2023-12-11T02:06:45.015339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:06:45.151541image/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

번호급경사지명시행청명관리주체구분위치비고
01종합사격장~백련사영도구지자체(시군구)부산광역시 영도구 영선동4가 산 30<NA>
12대성주유소 뒤 절개지영도구지자체(시군구)부산광역시 영도구 청학동48-236<NA>
23목장원~종합사격장영도구지자체(시군구)부산광역시 영도구 동삼동 산 149-8<NA>
34동산파크옆 오르막길영도구지자체(시군구)부산광역시 영도구 동삼동672-5<NA>
45신춘빌라 옆 사면영도구지자체(시군구)부산광역시 영도구 동삼동537<NA>
56감지해변 언덕영도구지자체(시군구)부산광역시 영도구 동삼동 산 33-1<NA>
67남항초교 동편 사면영도구기타(개인,기업)부산광역시 영도구 영선동4가247<NA>
78영선아파트 뒤 사면영도구지자체(시군구)부산광역시 영도구 영선동4가 산 10<NA>
89부산체고 사면영도구지방산림청부산광역시 영도구 동삼동525-5<NA>
910청성아트 옆 사면한국자산관리공사기타(개인,기업)부산광역시 영도구 청학동53-9<NA>
번호급경사지명시행청명관리주체구분위치비고
2425청학배수지 사면영도구청지자체(시군구)부산광역시 영도구 청학동475-4<NA>
2526청학모자원 입구 사면청학모자원 건축주기타(개인,기업)부산광역시 영도구 동삼동510<NA>
2627아일랜드골프 옆 사면영도구청기타(개인,기업)부산광역시 영도구 동삼동207-87<NA>
2728국보보세창고 뒤 사면영도구청기타(개인,기업)부산광역시 영도구 청학동 산 7-5<NA>
2829백련사절영로하부영도구지자체(시군구)부산광역시 영도구 영선동4가1210-9 외 16개소<NA>
2930한진아파트 주변 사면영도구청지자체(시군구)부산광역시 영도구 청학동391-398<NA>
30318호천주변사면영도구청지자체(시군구)부산광역시 영도구 청학동131-2<NA>
3132동삼주공아파트옹벽한국토지주택공사한국토지주택공사부산광역시 영도구 동삼동 1121<NA>
3233영선2지구영도구지자체(시군구)부산광역시 영도구 영선동4가 650-2급경사지 붕괴위험지역
3334태종대유원지주차장부산관광공사부산관광공사부산광역시 영도구 동삼동 1009<NA>