Overview

Dataset statistics

Number of variables5
Number of observations128
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description부산광역시 교통광장, 미관광장, 경관광장 등 광장 현황(연번, 구분, 시설명, 위치, 데이터기준일자)정보입니다.
URLhttps://www.data.go.kr/data/15114312/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly imbalanced (57.0%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:57:54.683528
Analysis finished2023-12-12 07:57:55.207834
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T16:57:55.290256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q132.75
median64.5
Q396.25
95-th percentile121.65
Maximum128
Range127
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation37.094474
Coefficient of variation (CV)0.57510812
Kurtosis-1.2
Mean64.5
Median Absolute Deviation (MAD)32
Skewness0
Sum8256
Variance1376
MonotonicityStrictly increasing
2023-12-12T16:57:55.426636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
66 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%

구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
교차점광장
93 
경관광장
29 
근린광장
 
3
역전광장
 
1
지하광장
 
1

Length

Max length7
Median length5
Mean length4.75
Min length4

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
교차점광장 93
72.7%
경관광장 29
 
22.7%
근린광장 3
 
2.3%
역전광장 1
 
0.8%
지하광장 1
 
0.8%
건축물부설광장 1
 
0.8%

Length

2023-12-12T16:57:55.555240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:57:55.655118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교차점광장 93
72.7%
경관광장 29
 
22.7%
근린광장 3
 
2.3%
역전광장 1
 
0.8%
지하광장 1
 
0.8%
건축물부설광장 1
 
0.8%

시설명
Text

Distinct109
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T16:57:55.836157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.4140625
Min length4

Characters and Unicode

Total characters1077
Distinct characters66
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

Unique101 ?
Unique (%)78.9%

Sample

1st row교통광장(65)
2nd row교통광장(66)
3rd row교통광장
4th row교통광장
5th row교통광장(106)
ValueCountFrequency (%)
미관광장 15
 
11.5%
교통광장 7
 
5.3%
일반광장(동부산관광단지 2
 
1.5%
미관광장(76 2
 
1.5%
일반광장(명지지구 2
 
1.5%
교통광장(7 1
 
0.8%
교통광장(8 1
 
0.8%
교통광장(73 1
 
0.8%
교통광장(72 1
 
0.8%
교통광장(80 1
 
0.8%
Other values (98) 98
74.8%
2023-12-12T16:57:56.174423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 128
11.9%
장 127
11.8%
( 110
10.2%
) 110
10.2%
교 92
 
8.5%
통 91
 
8.4%
61
 
5.7%
1 47
 
4.4%
관 28
 
2.6%
미 24
 
2.2%
Other values (56) 259
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
52.8%
Decimal Number 205
 
19.0%
Open Punctuation 110
 
10.2%
Close Punctuation 110
 
10.2%
Space Separator 61
 
5.7%
Uppercase Letter 21
 
1.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 128
22.5%
장 127
22.3%
교 92
16.2%
통 91
16.0%
관 28
 
4.9%
미 24
 
4.2%
지 8
 
1.4%
일 7
 
1.2%
반 7
 
1.2%
부 3
 
0.5%
Other values (38) 54
9.5%
Decimal Number
ValueCountFrequency (%)
1 47
22.9%
2 23
11.2%
6 20
9.8%
3 19
9.3%
0 19
9.3%
8 16
 
7.8%
5 16
 
7.8%
7 16
 
7.8%
4 15
 
7.3%
9 14
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
C 10
47.6%
I 9
42.9%
T 1
 
4.8%
J 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
52.8%
Common 487
45.2%
Latin 21
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 128
22.5%
장 127
22.3%
교 92
16.2%
통 91
16.0%
관 28
 
4.9%
미 24
 
4.2%
지 8
 
1.4%
일 7
 
1.2%
반 7
 
1.2%
부 3
 
0.5%
Other values (38) 54
9.5%
Common
ValueCountFrequency (%)
( 110
22.6%
) 110
22.6%
61
12.5%
1 47
9.7%
2 23
 
4.7%
6 20
 
4.1%
3 19
 
3.9%
0 19
 
3.9%
8 16
 
3.3%
5 16
 
3.3%
Other values (4) 46
9.4%
Latin
ValueCountFrequency (%)
C 10
47.6%
I 9
42.9%
T 1
 
4.8%
J 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
52.8%
ASCII 508
47.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 128
22.5%
장 127
22.3%
교 92
16.2%
통 91
16.0%
관 28
 
4.9%
미 24
 
4.2%
지 8
 
1.4%
일 7
 
1.2%
반 7
 
1.2%
부 3
 
0.5%
Other values (38) 54
9.5%
ASCII
ValueCountFrequency (%)
( 110
21.7%
) 110
21.7%
61
12.0%
1 47
9.3%
2 23
 
4.5%
6 20
 
3.9%
3 19
 
3.7%
0 19
 
3.7%
8 16
 
3.1%
5 16
 
3.1%
Other values (8) 67
13.2%

위치
Text

Distinct124
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T16:57:56.577033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28.5
Mean length21.867188
Min length12

Characters and Unicode

Total characters2799
Distinct characters135
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

Unique120 ?
Unique (%)93.8%

Sample

1st row부산광역시 사하구 하단동 하구둑 입구
2nd row부산광역시 사하구 장림동 642-9일원
3rd row부산광역시 해운대구 중동
4th row부산광역시 금정구 노포동 73번지 일원
5th row부산광역시 강서구 죽림동 429
ValueCountFrequency (%)
부산광역시 133
22.1%
일원 55
 
9.2%
기장군 32
 
5.3%
해운대구 21
 
3.5%
강서구 17
 
2.8%
정관면 15
 
2.5%
부산진구 14
 
2.3%
동구 8
 
1.3%
북구 7
 
1.2%
우동 6
 
1.0%
Other values (211) 293
48.8%
2023-12-12T16:57:57.139701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
 
17.0%
산 158
 
5.6%
부 152
 
5.4%
시 137
 
4.9%
광 136
 
4.9%
역 136
 
4.9%
동 118
 
4.2%
구 108
 
3.9%
1 84
 
3.0%
일 72
 
2.6%
Other values (125) 1221
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1828
65.3%
Space Separator 477
 
17.0%
Decimal Number 387
 
13.8%
Dash Punctuation 55
 
2.0%
Close Punctuation 18
 
0.6%
Open Punctuation 18
 
0.6%
Uppercase Letter 14
 
0.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 158
 
8.6%
부 152
 
8.3%
시 137
 
7.5%
광 136
 
7.4%
역 136
 
7.4%
동 118
 
6.5%
구 108
 
5.9%
일 72
 
3.9%
원 66
 
3.6%
장 49
 
2.7%
Other values (107) 696
38.1%
Decimal Number
ValueCountFrequency (%)
1 84
21.7%
2 62
16.0%
3 45
11.6%
4 41
10.6%
7 32
 
8.3%
9 29
 
7.5%
0 26
 
6.7%
5 24
 
6.2%
8 23
 
5.9%
6 21
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
R 8
57.1%
C 3
 
21.4%
I 3
 
21.4%
Space Separator
ValueCountFrequency (%)
477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1828
65.3%
Common 957
34.2%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 158
 
8.6%
부 152
 
8.3%
시 137
 
7.5%
광 136
 
7.4%
역 136
 
7.4%
동 118
 
6.5%
구 108
 
5.9%
일 72
 
3.9%
원 66
 
3.6%
장 49
 
2.7%
Other values (107) 696
38.1%
Common
ValueCountFrequency (%)
477
49.8%
1 84
 
8.8%
2 62
 
6.5%
- 55
 
5.7%
3 45
 
4.7%
4 41
 
4.3%
7 32
 
3.3%
9 29
 
3.0%
0 26
 
2.7%
5 24
 
2.5%
Other values (5) 82
 
8.6%
Latin
ValueCountFrequency (%)
R 8
57.1%
C 3
 
21.4%
I 3
 
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1828
65.3%
ASCII 971
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
49.1%
1 84
 
8.7%
2 62
 
6.4%
- 55
 
5.7%
3 45
 
4.6%
4 41
 
4.2%
7 32
 
3.3%
9 29
 
3.0%
0 26
 
2.7%
5 24
 
2.5%
Other values (8) 96
 
9.9%
Hangul
ValueCountFrequency (%)
산 158
 
8.6%
부 152
 
8.3%
시 137
 
7.5%
광 136
 
7.4%
역 136
 
7.4%
동 118
 
6.5%
구 108
 
5.9%
일 72
 
3.9%
원 66
 
3.6%
장 49
 
2.7%
Other values (107) 696
38.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-06-07
128 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-07
2nd row2023-06-07
3rd row2023-06-07
4th row2023-06-07
5th row2023-06-07

Common Values

ValueCountFrequency (%)
2023-06-07 128
100.0%

Length

2023-12-12T16:57:57.306959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:57:57.460721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-07 128
100.0%

Interactions

2023-12-12T16:57:54.883068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:57:57.532667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.680
구분0.6801.000
2023-12-12T16:57:57.687830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.436
구분0.4361.000

Missing values

2023-12-12T16:57:55.051229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:57:55.164670image/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

연번구분시설명위치데이터기준일자
01교차점광장교통광장(65)부산광역시 사하구 하단동 하구둑 입구2023-06-07
12교차점광장교통광장(66)부산광역시 사하구 장림동 642-9일원2023-06-07
23교차점광장교통광장부산광역시 해운대구 중동2023-06-07
34교차점광장교통광장부산광역시 금정구 노포동 73번지 일원2023-06-07
45교차점광장교통광장(106)부산광역시 강서구 죽림동 4292023-06-07
56교차점광장교통광장부산광역시 부산진구 연지동 332-652023-06-07
67교차점광장교통광장부산광역시 기장군 장안읍 명례리 226-3 일원2023-06-07
78교차점광장교통광장부산광역시 기장군 장안읍 명례리 931일원2023-06-07
89교차점광장교통광장부산광역시 기장군 기장읍 청강리 307 일원2023-06-07
910교차점광장교통광장 (75)부산광역시 강서구 명지동 2984-33번지 일원2023-06-07
연번구분시설명위치데이터기준일자
118119경관광장미관광장부산광역시 해운대구 부산광역시 해운대구 우동 1291(수영비행장)2023-06-07
119120경관광장미관광장부산광역시 해운대구 부산광역시 해운대구 우동 1287(수영비행장)2023-06-07
120121경관광장미관광장부산광역시 해운대구 부산광역시 해운대구 우동 1247(수영비행장)2023-06-07
121122경관광장미관광장부산광역시 해운대구 재송동 726 (수영비행장)2023-06-07
122123경관광장미관광장(76)부산광역시 남구 문현동 1229-1번지2023-06-07
123124경관광장경관광장(75)부산광역시 부산진구 개금동 444-7 일원2023-06-07
124125경관광장미관광장(71)부산광역시 영도구 동삼동 985번지2023-06-07
125126경관광장미관광장(84)부산광역시 중구 중앙동 6가 8지선(부산본부세관)2023-06-07
126127지하광장센텀시티부산광역시 해운대구 우동 12912023-06-07
127128건축물부설광장건축물부설광장부산광역시 동구 범일동 361-12023-06-07