Overview

Dataset statistics

Number of variables5
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory43.9 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description부산광역시_금정구_급경사지현황_20220314
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025815

Alerts

연번 is highly overall correlated with 관리주체High correlation
관리주체 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
주소 has unique valuesUnique
급경사지명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:49:02.138289
Analysis finished2023-12-10 16:49:03.058460
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:49:03.194402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-11T01:49:03.483781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

행정동
Categorical

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
청룡동
9 
노포동
9 
부곡동
5 
남산동
4 
금사동
4 
Other values (7)
15 

Length

Max length3
Median length3
Mean length2.8913043
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
청룡동 9
19.6%
노포동 9
19.6%
부곡동 5
10.9%
남산동 4
8.7%
금사동 4
8.7%
구서동 3
 
6.5%
장전동 3
 
6.5%
서동 3
 
6.5%
선동 2
 
4.3%
두구동 2
 
4.3%
Other values (2) 2
 
4.3%

Length

2023-12-11T01:49:03.771690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청룡동 9
19.6%
노포동 9
19.6%
부곡동 5
10.9%
남산동 4
8.7%
금사동 4
8.7%
구서동 3
 
6.5%
장전동 3
 
6.5%
서동 3
 
6.5%
선동 2
 
4.3%
두구동 2
 
4.3%
Other values (2) 2
 
4.3%

주소
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:49:04.158323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length11.23913
Min length8

Characters and Unicode

Total characters517
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

Unique46 ?
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 9
 
8.9%
노포동 9
 
8.9%
남산동 4
 
4.0%
부곡동 4
 
4.0%
금사동 4
 
4.0%
구서동 3
 
3.0%
산1-4번지(지장암 2
 
2.0%
일원 2
 
2.0%
앞 2
 
2.0%
서동 2
 
2.0%
Other values (57) 60
59.4%
2023-12-11T01:49:04.796467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
10.6%
동 49
 
9.5%
- 39
 
7.5%
지 34
 
6.6%
번 32
 
6.2%
1 31
 
6.0%
산 26
 
5.0%
5 22
 
4.3%
4 19
 
3.7%
7 18
 
3.5%
Other values (38) 192
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
49.1%
Decimal Number 160
30.9%
Space Separator 55
 
10.6%
Dash Punctuation 39
 
7.5%
Open Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
19.3%
지 34
13.4%
번 32
12.6%
산 26
10.2%
포 9
 
3.5%
청 9
 
3.5%
노 9
 
3.5%
룡 9
 
3.5%
서 7
 
2.8%
구 6
 
2.4%
Other values (23) 64
25.2%
Decimal Number
ValueCountFrequency (%)
1 31
19.4%
5 22
13.8%
4 19
11.9%
7 18
11.2%
2 18
11.2%
3 18
11.2%
6 14
8.8%
0 8
 
5.0%
8 7
 
4.4%
9 5
 
3.1%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 262
50.7%
Hangul 254
49.1%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
19.3%
지 34
13.4%
번 32
12.6%
산 26
10.2%
포 9
 
3.5%
청 9
 
3.5%
노 9
 
3.5%
룡 9
 
3.5%
서 7
 
2.8%
구 6
 
2.4%
Other values (23) 64
25.2%
Common
ValueCountFrequency (%)
55
21.0%
- 39
14.9%
1 31
11.8%
5 22
 
8.4%
4 19
 
7.3%
7 18
 
6.9%
2 18
 
6.9%
3 18
 
6.9%
6 14
 
5.3%
0 8
 
3.1%
Other values (4) 20
 
7.6%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 263
50.9%
Hangul 254
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
20.9%
- 39
14.8%
1 31
11.8%
5 22
 
8.4%
4 19
 
7.2%
7 18
 
6.8%
2 18
 
6.8%
3 18
 
6.8%
6 14
 
5.3%
0 8
 
3.0%
Other values (5) 21
 
8.0%
Hangul
ValueCountFrequency (%)
동 49
19.3%
지 34
13.4%
번 32
12.6%
산 26
10.2%
포 9
 
3.5%
청 9
 
3.5%
노 9
 
3.5%
룡 9
 
3.5%
서 7
 
2.8%
구 6
 
2.4%
Other values (23) 64
25.2%

관리주체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
개인
18 
금정구
17 
국가철도공단
10 
동래교육지원청
 
1

Length

Max length7
Median length6
Mean length3.3478261
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
개인 18
39.1%
금정구 17
37.0%
국가철도공단 10
21.7%
동래교육지원청 1
 
2.2%

Length

2023-12-11T01:49:05.026603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:49:05.209273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 18
39.1%
금정구 17
37.0%
국가철도공단 10
21.7%
동래교육지원청 1
 
2.2%

급경사지명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:49:05.570692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.217391
Min length3

Characters and Unicode

Total characters516
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

Unique46 ?
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
 
9.0%
뒤 10
 
8.2%
영남 10
 
8.2%
일원 6
 
4.9%
범어사로 4
 
3.3%
옆 4
 
3.3%
앞 3
 
2.5%
지장암 2
 
1.6%
입구 2
 
1.6%
사면 2
 
1.6%
Other values (67) 68
55.7%
2023-12-11T01:49:06.147122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
14.7%
부 14
 
2.7%
로 13
 
2.5%
1 13
 
2.5%
2 12
 
2.3%
아 12
 
2.3%
원 12
 
2.3%
경 12
 
2.3%
옹 12
 
2.3%
벽 12
 
2.3%
Other values (128) 328
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
73.4%
Space Separator 76
 
14.7%
Decimal Number 47
 
9.1%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Uppercase Letter 3
 
0.6%
Math Symbol 2
 
0.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 14
 
3.7%
로 13
 
3.4%
아 12
 
3.2%
원 12
 
3.2%
경 12
 
3.2%
옹 12
 
3.2%
벽 12
 
3.2%
영 11
 
2.9%
사 11
 
2.9%
고 11
 
2.9%
Other values (110) 259
68.3%
Decimal Number
ValueCountFrequency (%)
1 13
27.7%
2 12
25.5%
0 10
21.3%
3 4
 
8.5%
5 2
 
4.3%
6 2
 
4.3%
4 1
 
2.1%
7 1
 
2.1%
9 1
 
2.1%
8 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
R 1
33.3%
Space Separator
ValueCountFrequency (%)
76
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 379
73.4%
Common 133
 
25.8%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 14
 
3.7%
로 13
 
3.4%
아 12
 
3.2%
원 12
 
3.2%
경 12
 
3.2%
옹 12
 
3.2%
벽 12
 
3.2%
영 11
 
2.9%
사 11
 
2.9%
고 11
 
2.9%
Other values (110) 259
68.3%
Common
ValueCountFrequency (%)
76
57.1%
1 13
 
9.8%
2 12
 
9.0%
0 10
 
7.5%
) 4
 
3.0%
( 4
 
3.0%
3 4
 
3.0%
5 2
 
1.5%
~ 2
 
1.5%
6 2
 
1.5%
Other values (4) 4
 
3.0%
Latin
ValueCountFrequency (%)
S 1
25.0%
K 1
25.0%
m 1
25.0%
R 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
73.4%
ASCII 137
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
55.5%
1 13
 
9.5%
2 12
 
8.8%
0 10
 
7.3%
) 4
 
2.9%
( 4
 
2.9%
3 4
 
2.9%
5 2
 
1.5%
~ 2
 
1.5%
6 2
 
1.5%
Other values (8) 8
 
5.8%
Hangul
ValueCountFrequency (%)
부 14
 
3.7%
로 13
 
3.4%
아 12
 
3.2%
원 12
 
3.2%
경 12
 
3.2%
옹 12
 
3.2%
벽 12
 
3.2%
영 11
 
2.9%
사 11
 
2.9%
고 11
 
2.9%
Other values (110) 259
68.3%

Interactions

2023-12-11T01:49:02.603661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:49:06.303742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동주소관리주체급경사지명
연번1.0000.7691.0000.7081.000
행정동0.7691.0001.0000.8461.000
주소1.0001.0001.0001.0001.000
관리주체0.7080.8461.0001.0001.000
급경사지명1.0001.0001.0001.0001.000
2023-12-11T01:49:06.457186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동관리주체
행정동1.0000.486
관리주체0.4861.000
2023-12-11T01:49:06.593445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동관리주체
연번1.0000.4330.505
행정동0.4331.0000.486
관리주체0.5050.4861.000

Missing values

2023-12-11T01:49:02.802975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:49:03.002023image/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
3637노포동노포동 327-7좌국가철도공단영남 경부고속210
3738노포동노포동 327-7우국가철도공단영남 경부고속211
3839노포동노포동 산67-4좌국가철도공단영남 경부고속212
3940노포동노포동 산67-4우국가철도공단영남 경부고속213
4041노포동노포동 625-24번지금정구노포사송로 옹벽
4142청룡동청룡동 176-1번지금정구범어사로 카페 티원 앞 옹벽
4243금성동금성동 520-3번지개인금성동 대일체불교 아래 사면
4344선동선동 76-11번지금정구선동 상현~기장간 도로옹벽
4445구서동구서동 266-16번지개인협성그린타운아파트 뒤 옹벽
4546회동동회동동 산129번지금정구개좌터널 도로사면