Overview

Dataset statistics

Number of variables5
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory43.4 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description부산광역시_금정구_급경사지현황_20230421
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025815

Alerts

연번 has unique valuesUnique
주소 has unique valuesUnique
급경사지명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:48:54.121823
Analysis finished2023-12-10 16:48:55.091314
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T01:48:55.247232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-11T01:48:55.521128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

행정동
Categorical

Distinct12
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
청룡동
11 
노포동
10 
남산동
6 
금사동
6 
부곡동
5 
Other values (7)
16 

Length

Max length3
Median length3
Mean length2.9074074
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row구서동
2nd row청룡동
3rd row부곡동
4th row부곡동
5th row부곡동

Common Values

ValueCountFrequency (%)
청룡동 11
20.4%
노포동 10
18.5%
남산동 6
11.1%
금사동 6
11.1%
부곡동 5
9.3%
구서동 3
 
5.6%
장전동 3
 
5.6%
서동 3
 
5.6%
선동 2
 
3.7%
두구동 2
 
3.7%
Other values (2) 3
 
5.6%

Length

2023-12-11T01:48:55.747654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청룡동 11
20.4%
노포동 10
18.5%
남산동 6
11.1%
금사동 6
11.1%
부곡동 5
9.3%
구서동 3
 
5.6%
장전동 3
 
5.6%
서동 3
 
5.6%
선동 2
 
3.7%
두구동 2
 
3.7%
Other values (2) 3
 
5.6%

주소
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:48:56.916682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length11.092593
Min length8

Characters and Unicode

Total characters599
Distinct characters48
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row구서동 722-1번지
2nd row청룡동 산20-1
3rd row부곡동 354-4
4th row부곡동 694-2번지
5th row부곡동 965번지
ValueCountFrequency (%)
청룡동 11
 
9.4%
노포동 10
 
8.5%
남산동 6
 
5.1%
금사동 6
 
5.1%
부곡동 4
 
3.4%
구서동 3
 
2.6%
일원 2
 
1.7%
앞 2
 
1.7%
회동동 2
 
1.7%
장전1동 2
 
1.7%
Other values (65) 69
59.0%
2023-12-11T01:48:57.874287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
10.5%
동 58
 
9.7%
- 44
 
7.3%
지 42
 
7.0%
번 40
 
6.7%
1 37
 
6.2%
5 29
 
4.8%
산 29
 
4.8%
2 21
 
3.5%
7 20
 
3.3%
Other values (38) 216
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
49.2%
Decimal Number 188
31.4%
Space Separator 63
 
10.5%
Dash Punctuation 44
 
7.3%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 58
19.7%
지 42
14.2%
번 40
13.6%
산 29
9.8%
청 11
 
3.7%
룡 11
 
3.7%
포 10
 
3.4%
노 10
 
3.4%
사 8
 
2.7%
서 7
 
2.4%
Other values (23) 69
23.4%
Decimal Number
ValueCountFrequency (%)
1 37
19.7%
5 29
15.4%
2 21
11.2%
7 20
10.6%
3 19
10.1%
4 19
10.1%
6 14
 
7.4%
0 12
 
6.4%
8 9
 
4.8%
9 8
 
4.3%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 303
50.6%
Hangul 295
49.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 58
19.7%
지 42
14.2%
번 40
13.6%
산 29
9.8%
청 11
 
3.7%
룡 11
 
3.7%
포 10
 
3.4%
노 10
 
3.4%
사 8
 
2.7%
서 7
 
2.4%
Other values (23) 69
23.4%
Common
ValueCountFrequency (%)
63
20.8%
- 44
14.5%
1 37
12.2%
5 29
9.6%
2 21
 
6.9%
7 20
 
6.6%
3 19
 
6.3%
4 19
 
6.3%
6 14
 
4.6%
0 12
 
4.0%
Other values (4) 25
 
8.3%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 304
50.8%
Hangul 295
49.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
20.7%
- 44
14.5%
1 37
12.2%
5 29
9.5%
2 21
 
6.9%
7 20
 
6.6%
3 19
 
6.2%
4 19
 
6.2%
6 14
 
4.6%
0 12
 
3.9%
Other values (5) 26
8.6%
Hangul
ValueCountFrequency (%)
동 58
19.7%
지 42
14.2%
번 40
13.6%
산 29
9.8%
청 11
 
3.7%
룡 11
 
3.7%
포 10
 
3.4%
노 10
 
3.4%
사 8
 
2.7%
서 7
 
2.4%
Other values (23) 69
23.4%

관리주체
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
개인
23 
금정구
19 
국가철도공단
10 
부산광역시교육청(재정과)
 
1
금샘초등학교
 
1

Length

Max length13
Median length6
Mean length3.3703704
Min length2

Unique

Unique2 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
개인 23
42.6%
금정구 19
35.2%
국가철도공단 10
18.5%
부산광역시교육청(재정과) 1
 
1.9%
금샘초등학교 1
 
1.9%

Length

2023-12-11T01:48:58.277046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:58.517463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 23
42.6%
금정구 19
35.2%
국가철도공단 10
18.5%
부산광역시교육청(재정과 1
 
1.9%
금샘초등학교 1
 
1.9%

급경사지명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:48:59.006868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.277778
Min length3

Characters and Unicode

Total characters609
Distinct characters138
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

Unique54 ?
Unique (%)100.0%

Sample

1st row구서롯데캐슬골드 일원
2nd row경동아파트 버스정류장 옆
3rd row금양중학교 일원(윤산로)
4th row부곡 시영아파트 일원(윤산로변)
5th row부곡늘푸른아파트 일원
ValueCountFrequency (%)
옹벽 11
 
7.6%
영남 10
 
6.9%
뒤 10
 
6.9%
부산 9
 
6.2%
금정 9
 
6.2%
일원 6
 
4.2%
범어사로 4
 
2.8%
앞 3
 
2.1%
옆 3
 
2.1%
경동아파트 2
 
1.4%
Other values (74) 77
53.5%
2023-12-11T01:48:59.911249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
14.8%
부 23
 
3.8%
1 19
 
3.1%
산 17
 
2.8%
2 15
 
2.5%
금 15
 
2.5%
로 13
 
2.1%
사 13
 
2.1%
경 12
 
2.0%
아 12
 
2.0%
Other values (128) 380
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
72.2%
Space Separator 90
 
14.8%
Decimal Number 56
 
9.2%
Uppercase Letter 12
 
2.0%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%
Math Symbol 2
 
0.3%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 23
 
5.2%
산 17
 
3.9%
금 15
 
3.4%
로 13
 
3.0%
사 13
 
3.0%
경 12
 
2.7%
아 12
 
2.7%
벽 12
 
2.7%
옹 12
 
2.7%
구 12
 
2.7%
Other values (109) 299
68.0%
Decimal Number
ValueCountFrequency (%)
1 19
33.9%
2 15
26.8%
0 10
17.9%
3 4
 
7.1%
5 2
 
3.6%
6 2
 
3.6%
4 1
 
1.8%
9 1
 
1.8%
8 1
 
1.8%
7 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
N 9
75.0%
K 1
 
8.3%
S 1
 
8.3%
R 1
 
8.3%
Space Separator
ValueCountFrequency (%)
90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
72.2%
Common 156
 
25.6%
Latin 13
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 23
 
5.2%
산 17
 
3.9%
금 15
 
3.4%
로 13
 
3.0%
사 13
 
3.0%
경 12
 
2.7%
아 12
 
2.7%
벽 12
 
2.7%
옹 12
 
2.7%
구 12
 
2.7%
Other values (109) 299
68.0%
Common
ValueCountFrequency (%)
90
57.7%
1 19
 
12.2%
2 15
 
9.6%
0 10
 
6.4%
) 4
 
2.6%
( 4
 
2.6%
3 4
 
2.6%
5 2
 
1.3%
~ 2
 
1.3%
6 2
 
1.3%
Other values (4) 4
 
2.6%
Latin
ValueCountFrequency (%)
N 9
69.2%
K 1
 
7.7%
S 1
 
7.7%
m 1
 
7.7%
R 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
72.2%
ASCII 169
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
53.3%
1 19
 
11.2%
2 15
 
8.9%
0 10
 
5.9%
N 9
 
5.3%
) 4
 
2.4%
( 4
 
2.4%
3 4
 
2.4%
5 2
 
1.2%
~ 2
 
1.2%
Other values (9) 10
 
5.9%
Hangul
ValueCountFrequency (%)
부 23
 
5.2%
산 17
 
3.9%
금 15
 
3.4%
로 13
 
3.0%
사 13
 
3.0%
경 12
 
2.7%
아 12
 
2.7%
벽 12
 
2.7%
옹 12
 
2.7%
구 12
 
2.7%
Other values (109) 299
68.0%

Interactions

2023-12-11T01:48:54.560962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:49:00.125617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동주소관리주체급경사지명
연번1.0000.7151.0000.7921.000
행정동0.7151.0001.0000.6521.000
주소1.0001.0001.0001.0001.000
관리주체0.7920.6521.0001.0001.000
급경사지명1.0001.0001.0001.0001.000
2023-12-11T01:49:00.382793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동관리주체
행정동1.0000.398
관리주체0.3981.000
2023-12-11T01:49:00.562221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동관리주체
연번1.0000.3860.421
행정동0.3861.0000.398
관리주체0.4210.3981.000

Missing values

2023-12-11T01:48:54.819890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:48:55.013601image/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

연번행정동주소관리주체급경사지명
01구서동구서동 722-1번지금정구구서롯데캐슬골드 일원
12청룡동청룡동 산20-1금정구경동아파트 버스정류장 옆
23부곡동부곡동 354-4금정구금양중학교 일원(윤산로)
34부곡동부곡동 694-2번지금정구부곡 시영아파트 일원(윤산로변)
45부곡동부곡동 965번지금정구부곡늘푸른아파트 일원
56청룡동청룡동 산1-4번지(지장암 일원)개인지장암 일원
67남산동남산동 산35-3개인금샘초등학교 일원(빌라 뒤)
78장전동장전1동 85-7번지개인장전1차 현대아파트 일원
89서동서3동 64번지금정구아신아파트 뒤 옹벽
910장전동장전1동 85-8번지금정구대진전자통신고 일원(금샘로)
연번행정동주소관리주체급경사지명
4445회동동회동동 산129번지금정구개좌터널 도로사면
4546금사동금사동 485-1번지개인부산 금정 금사N1지구
4647금사동금사동 501-1번지부산광역시교육청(재정과)부산 금정 금사N2지구
4748남산동남산동 560번지금샘초등학교부산 금정 남산N1지구
4849남산동남산동 산1-3번지개인부산 금정 남산N2지구
4950노포동노포동 992-5번지금정구부산 금정 노포N1지구
5051부곡동부곡동 957번지개인부산 금정 부곡N1지구
5152청룡동청룡동 517-12번지개인부산 금정 청룡N1지구
5253청룡동청룡동 520번지개인부산 금정 청룡N2지구
5354회동동회동동 28-103번지금정구부산 금정 회동N1지구