Overview

Dataset statistics

Number of variables8
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory65.2 B

Variable types

Text2
Categorical5
DateTime1

Dataset

Description경상남도 양산시 내 급경사지 관련 데이터로 위치, 급경사지명, 관리주체 등 관내 급경사지 현황에 대한 항목을 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15105660/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
용도 is highly overall correlated with 관리주체 and 2 other fieldsHigh correlation
유형 is highly overall correlated with 등급High correlation
등급 is highly overall correlated with 관리주체 and 3 other fieldsHigh correlation
구조 is highly overall correlated with 관리주체 and 2 other fieldsHigh correlation
관리주체 is highly overall correlated with 용도 and 2 other fieldsHigh correlation
관리주체 is highly imbalanced (57.2%)Imbalance
유형 is highly imbalanced (54.1%)Imbalance
급경사지명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:37:27.189074
Analysis finished2023-12-12 14:37:27.696032
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

급경사지명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T23:37:27.915576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.5277778
Min length3

Characters and Unicode

Total characters597
Distinct characters66
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

Unique108 ?
Unique (%)100.0%

Sample

1st row평산동 사면재해 위험지역
2nd row용당1
3rd row경부고속 199
4th row물금동아1지구
5th row경부고속203
ValueCountFrequency (%)
평산동 1
 
0.9%
용당1 1
 
0.9%
원동13지구 1
 
0.9%
원동14지구 1
 
0.9%
원동15지구 1
 
0.9%
원동16지구 1
 
0.9%
원동17지구 1
 
0.9%
원동18지구 1
 
0.9%
원동19지구 1
 
0.9%
원동20지구 1
 
0.9%
Other values (101) 101
91.0%
2023-12-12T23:37:28.314255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 93
15.6%
구 90
15.1%
1 66
 
11.1%
동 32
 
5.4%
2 28
 
4.7%
원 25
 
4.2%
어 20
 
3.4%
곡 20
 
3.4%
부 16
 
2.7%
경 16
 
2.7%
Other values (56) 191
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 429
71.9%
Decimal Number 163
 
27.3%
Space Separator 3
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 93
21.7%
구 90
21.0%
동 32
 
7.5%
원 25
 
5.8%
어 20
 
4.7%
곡 20
 
4.7%
부 16
 
3.7%
경 16
 
3.7%
산 11
 
2.6%
고 11
 
2.6%
Other values (44) 95
22.1%
Decimal Number
ValueCountFrequency (%)
1 66
40.5%
2 28
17.2%
3 15
 
9.2%
9 13
 
8.0%
4 9
 
5.5%
0 9
 
5.5%
5 7
 
4.3%
6 6
 
3.7%
7 5
 
3.1%
8 5
 
3.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 429
71.9%
Common 168
 
28.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 93
21.7%
구 90
21.0%
동 32
 
7.5%
원 25
 
5.8%
어 20
 
4.7%
곡 20
 
4.7%
부 16
 
3.7%
경 16
 
3.7%
산 11
 
2.6%
고 11
 
2.6%
Other values (44) 95
22.1%
Common
ValueCountFrequency (%)
1 66
39.3%
2 28
16.7%
3 15
 
8.9%
9 13
 
7.7%
4 9
 
5.4%
0 9
 
5.4%
5 7
 
4.2%
6 6
 
3.6%
7 5
 
3.0%
8 5
 
3.0%
Other values (2) 5
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 429
71.9%
ASCII 168
 
28.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 93
21.7%
구 90
21.0%
동 32
 
7.5%
원 25
 
5.8%
어 20
 
4.7%
곡 20
 
4.7%
부 16
 
3.7%
경 16
 
3.7%
산 11
 
2.6%
고 11
 
2.6%
Other values (44) 95
22.1%
ASCII
ValueCountFrequency (%)
1 66
39.3%
2 28
16.7%
3 15
 
8.9%
9 13
 
7.7%
4 9
 
5.4%
0 9
 
5.4%
5 7
 
4.2%
6 6
 
3.6%
7 5
 
3.0%
8 5
 
3.0%
Other values (2) 5
 
3.0%

위치
Text

Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T23:37:28.609954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.564815
Min length15

Characters and Unicode

Total characters2221
Distinct characters68
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

Unique96 ?
Unique (%)88.9%

Sample

1st row경상남도 양산시 평산동 산 39-6
2nd row경상남도 양산시 원동면 용당리
3rd row경상남도 양산시 동면 개곡리산 42-20
4th row경상남도 양산시 물금읍 물금리 897-1
5th row경상남도 양산시 동면 개곡리산 122-7
ValueCountFrequency (%)
경상남도 108
20.7%
양산시 108
20.7%
원동면 35
 
6.7%
산 22
 
4.2%
어곡동 19
 
3.6%
동면 19
 
3.6%
화제리산 10
 
1.9%
평산동 8
 
1.5%
하북면 8
 
1.5%
물금읍 6
 
1.1%
Other values (139) 179
34.3%
2023-12-12T23:37:28.988839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
414
18.6%
산 184
 
8.3%
상 112
 
5.0%
양 108
 
4.9%
시 108
 
4.9%
경 108
 
4.9%
도 108
 
4.9%
남 108
 
4.9%
동 90
 
4.1%
- 86
 
3.9%
Other values (58) 795
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1316
59.3%
Space Separator 414
 
18.6%
Decimal Number 405
 
18.2%
Dash Punctuation 86
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 184
14.0%
상 112
8.5%
양 108
8.2%
시 108
8.2%
경 108
8.2%
도 108
8.2%
남 108
8.2%
동 90
 
6.8%
리 69
 
5.2%
면 66
 
5.0%
Other values (46) 255
19.4%
Decimal Number
ValueCountFrequency (%)
1 66
16.3%
2 50
12.3%
3 47
11.6%
4 43
10.6%
5 37
9.1%
7 36
8.9%
6 35
8.6%
0 34
8.4%
8 34
8.4%
9 23
 
5.7%
Space Separator
ValueCountFrequency (%)
414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1316
59.3%
Common 905
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 184
14.0%
상 112
8.5%
양 108
8.2%
시 108
8.2%
경 108
8.2%
도 108
8.2%
남 108
8.2%
동 90
 
6.8%
리 69
 
5.2%
면 66
 
5.0%
Other values (46) 255
19.4%
Common
ValueCountFrequency (%)
414
45.7%
- 86
 
9.5%
1 66
 
7.3%
2 50
 
5.5%
3 47
 
5.2%
4 43
 
4.8%
5 37
 
4.1%
7 36
 
4.0%
6 35
 
3.9%
0 34
 
3.8%
Other values (2) 57
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1316
59.3%
ASCII 905
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
414
45.7%
- 86
 
9.5%
1 66
 
7.3%
2 50
 
5.5%
3 47
 
5.2%
4 43
 
4.8%
5 37
 
4.1%
7 36
 
4.0%
6 35
 
3.9%
0 34
 
3.8%
Other values (2) 57
 
6.3%
Hangul
ValueCountFrequency (%)
산 184
14.0%
상 112
8.5%
양 108
8.2%
시 108
8.2%
경 108
8.2%
도 108
8.2%
남 108
8.2%
동 90
 
6.8%
리 69
 
5.2%
면 66
 
5.0%
Other values (46) 255
19.4%

관리주체
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
지자체
91 
한국철도시설공단
16 
<NA>
 
1

Length

Max length8
Median length3
Mean length3.75
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row지자체
2nd row<NA>
3rd row한국철도시설공단
4th row지자체
5th row한국철도시설공단

Common Values

ValueCountFrequency (%)
지자체 91
84.3%
한국철도시설공단 16
 
14.8%
<NA> 1
 
0.9%

Length

2023-12-12T23:37:29.112659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:29.219328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지자체 91
84.3%
한국철도시설공단 16
 
14.8%
na 1
 
0.9%

용도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
도로
70 
기타
23 
<NA>
11 
주택
 
4

Length

Max length4
Median length2
Mean length2.2037037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
도로 70
64.8%
기타 23
 
21.3%
<NA> 11
 
10.2%
주택 4
 
3.7%

Length

2023-12-12T23:37:29.585838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:29.702018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로 70
64.8%
기타 23
 
21.3%
na 11
 
10.2%
주택 4
 
3.7%

구조
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size996.0 B
토사
27 
암반
24 
복합
20 
옹벽
16 
<NA>
11 

Length

Max length4
Median length2
Mean length2.2037037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row복합
4th row복합
5th row복합

Common Values

ValueCountFrequency (%)
토사 27
25.0%
암반 24
22.2%
복합 20
18.5%
옹벽 16
14.8%
<NA> 11
10.2%
석축 10
 
9.3%

Length

2023-12-12T23:37:29.830887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:29.933922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토사 27
25.0%
암반 24
22.2%
복합 20
18.5%
옹벽 16
14.8%
na 11
10.2%
석축 10
 
9.3%

유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
인공
89 
<NA>
11 
옹벽 및 축대
 
4
자연
 
4

Length

Max length7
Median length2
Mean length2.3888889
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row인공
4th row인공
5th row인공

Common Values

ValueCountFrequency (%)
인공 89
82.4%
<NA> 11
 
10.2%
옹벽 및 축대 4
 
3.7%
자연 4
 
3.7%

Length

2023-12-12T23:37:30.044551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:30.150664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인공 89
76.7%
na 11
 
9.5%
옹벽 4
 
3.4%
및 4
 
3.4%
축대 4
 
3.4%
자연 4
 
3.4%

등급
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
92 
B
16 

Length

Max length4
Median length4
Mean length3.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd rowB
4th row<NA>
5th rowB

Common Values

ValueCountFrequency (%)
<NA> 92
85.2%
B 16
 
14.8%

Length

2023-12-12T23:37:30.247356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:30.334069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
85.2%
b 16
 
14.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2022-08-29 00:00:00
Maximum2022-08-29 00:00:00
2023-12-12T23:37:30.420268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:30.532665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T23:37:30.625918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리주체용도구조유형
관리주체1.0000.5270.6070.000
용도0.5271.0000.6010.358
구조0.6070.6011.0000.361
유형0.0000.3580.3611.000
2023-12-12T23:37:30.720114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도유형등급구조관리주체
용도1.0000.1261.0000.5480.788
유형0.1261.0001.0000.2890.000
등급1.0001.0001.0001.0001.000
구조0.5480.2891.0001.0000.720
관리주체0.7880.0001.0000.7201.000
2023-12-12T23:37:30.830026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리주체용도구조유형등급
관리주체1.0000.7880.7200.0001.000
용도0.7881.0000.5480.1261.000
구조0.7200.5481.0000.2891.000
유형0.0000.1260.2891.0001.000
등급1.0001.0001.0001.0001.000

Missing values

2023-12-12T23:37:27.527252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:37:27.648725image/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

급경사지명위치관리주체용도구조유형등급데이터기준일자
0평산동 사면재해 위험지역경상남도 양산시 평산동 산 39-6지자체<NA><NA><NA><NA>2022-08-29
1용당1경상남도 양산시 원동면 용당리<NA><NA><NA><NA><NA>2022-08-29
2경부고속 199경상남도 양산시 동면 개곡리산 42-20한국철도시설공단기타복합인공B2022-08-29
3물금동아1지구경상남도 양산시 물금읍 물금리 897-1지자체기타복합인공<NA>2022-08-29
4경부고속203경상남도 양산시 동면 개곡리산 122-7한국철도시설공단기타복합인공B2022-08-29
5경부고속202경상남도 양산시 동면 개곡리산 123한국철도시설공단기타복합인공B2022-08-29
6경부고속201경상남도 양산시 동면 개곡리산 39-4한국철도시설공단기타복합인공B2022-08-29
7경부고속200경상남도 양산시 동면 개곡리산 309-3한국철도시설공단기타복합인공B2022-08-29
8경부고속198경상남도 양산시 동면 개곡리 445-3한국철도시설공단기타복합인공B2022-08-29
9경부고속197경상남도 양산시 동면 개곡리 445-3한국철도시설공단기타복합인공B2022-08-29
급경사지명위치관리주체용도구조유형등급데이터기준일자
98내송3지구경상남도 양산시 동면 산 104-2지자체기타석축인공<NA>2022-08-29
99여락2지구경상남도 양산시 동면 여락리산 166-7지자체도로석축인공<NA>2022-08-29
100여락1지구경상남도 양산시 동면 여락리산 148-40지자체도로암반인공<NA>2022-08-29
101사송3지구경상남도 양산시 동면 사송리 27-3지자체도로복합인공<NA>2022-08-29
102사송1지구경상남도 양산시 동면 사송리 80지자체도로토사인공<NA>2022-08-29
103증산2지구경상남도 양산시 물금읍 증산리 878지자체<NA><NA><NA><NA>2022-08-29
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