Overview

Dataset statistics

Number of variables7
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory63.9 B

Variable types

Categorical2
Text2
Numeric2
DateTime1

Dataset

Description경상남도 양산시 재활용 동네마당 설치 현황에 대한 데이터로 구분, 읍면동, 주소, 출처, 데이터기준일자 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074113

Alerts

출처 has constant value ""Constant
읍면동 has unique valuesUnique
주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:20:13.591126
Analysis finished2023-12-11 00:20:14.423993
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분(년도)
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
2018
11 
2020
10 
2017
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2018 11
40.7%
2020 10
37.0%
2017 6
22.2%

Length

2023-12-11T09:20:14.481653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:20:14.594084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 11
40.7%
2020 10
37.0%
2017 6
22.2%

읍면동
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T09:20:14.773566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0740741
Min length7

Characters and Unicode

Total characters218
Distinct characters48
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

Unique27 ?
Unique (%)100.0%

Sample

1st row덕계동 매곡마을
2nd row주남동 주남마을
3rd row평산동 장흥마을
4th row삼성동 영동마을
5th row상북면 내석마을
ValueCountFrequency (%)
원동면 10
 
18.5%
상북면 6
 
11.1%
하북면 3
 
5.6%
어곡동 2
 
3.7%
늘밭마을 1
 
1.9%
외석마을 1
 
1.9%
지곡마을 1
 
1.9%
서리마을 1
 
1.9%
중리마을 1
 
1.9%
선장마을 1
 
1.9%
Other values (27) 27
50.0%
2023-12-11T09:20:15.114503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
12.4%
마 27
12.4%
을 27
12.4%
면 20
 
9.2%
동 19
 
8.7%
원 10
 
4.6%
북 9
 
4.1%
곡 6
 
2.8%
상 6
 
2.8%
리 4
 
1.8%
Other values (38) 63
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
87.6%
Space Separator 27
 
12.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 27
14.1%
을 27
14.1%
면 20
 
10.5%
동 19
 
9.9%
원 10
 
5.2%
북 9
 
4.7%
곡 6
 
3.1%
상 6
 
3.1%
리 4
 
2.1%
삼 3
 
1.6%
Other values (37) 60
31.4%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
87.6%
Common 27
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 27
14.1%
을 27
14.1%
면 20
 
10.5%
동 19
 
9.9%
원 10
 
5.2%
북 9
 
4.7%
곡 6
 
3.1%
상 6
 
3.1%
리 4
 
2.1%
삼 3
 
1.6%
Other values (37) 60
31.4%
Common
ValueCountFrequency (%)
27
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
87.6%
ASCII 27
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
100.0%
Hangul
ValueCountFrequency (%)
마 27
14.1%
을 27
14.1%
면 20
 
10.5%
동 19
 
9.9%
원 10
 
5.2%
북 9
 
4.7%
곡 6
 
3.1%
상 6
 
3.1%
리 4
 
2.1%
삼 3
 
1.6%
Other values (37) 60
31.4%

주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T09:20:15.335333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length21.148148
Min length17

Characters and Unicode

Total characters571
Distinct characters65
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 매곡외산로 216(매곡동894-3)
2nd row경상남도 양산시 주남동 607-1
3rd row경상남도 양산시 평산동 1018
4th row경상남도 양산시 산막동 508-4
5th row경상남도 양산시 상북면 내석리 561-12
ValueCountFrequency (%)
경상남도 27
20.9%
양산시 27
20.9%
원동면 10
 
7.8%
상북면 6
 
4.7%
하북면 3
 
2.3%
화제리 3
 
2.3%
어곡동 2
 
1.6%
내포리 2
 
1.6%
선리 2
 
1.6%
용당리 2
 
1.6%
Other values (45) 45
34.9%
2023-12-11T09:20:15.672471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
17.9%
상 33
 
5.8%
산 32
 
5.6%
남 28
 
4.9%
경 27
 
4.7%
도 27
 
4.7%
양 27
 
4.7%
시 27
 
4.7%
1 25
 
4.4%
면 20
 
3.5%
Other values (55) 223
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
59.7%
Decimal Number 107
 
18.7%
Space Separator 102
 
17.9%
Dash Punctuation 17
 
3.0%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 33
 
9.7%
산 32
 
9.4%
남 28
 
8.2%
경 27
 
7.9%
도 27
 
7.9%
양 27
 
7.9%
시 27
 
7.9%
면 20
 
5.9%
리 19
 
5.6%
동 18
 
5.3%
Other values (41) 83
24.3%
Decimal Number
ValueCountFrequency (%)
1 25
23.4%
2 16
15.0%
4 13
12.1%
5 13
12.1%
0 10
 
9.3%
6 7
 
6.5%
7 7
 
6.5%
8 6
 
5.6%
9 5
 
4.7%
3 5
 
4.7%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
59.7%
Common 230
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 33
 
9.7%
산 32
 
9.4%
남 28
 
8.2%
경 27
 
7.9%
도 27
 
7.9%
양 27
 
7.9%
시 27
 
7.9%
면 20
 
5.9%
리 19
 
5.6%
동 18
 
5.3%
Other values (41) 83
24.3%
Common
ValueCountFrequency (%)
102
44.3%
1 25
 
10.9%
- 17
 
7.4%
2 16
 
7.0%
4 13
 
5.7%
5 13
 
5.7%
0 10
 
4.3%
6 7
 
3.0%
7 7
 
3.0%
8 6
 
2.6%
Other values (4) 14
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
59.7%
ASCII 230
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
44.3%
1 25
 
10.9%
- 17
 
7.4%
2 16
 
7.0%
4 13
 
5.7%
5 13
 
5.7%
0 10
 
4.3%
6 7
 
3.0%
7 7
 
3.0%
8 6
 
2.6%
Other values (4) 14
 
6.1%
Hangul
ValueCountFrequency (%)
상 33
 
9.7%
산 32
 
9.4%
남 28
 
8.2%
경 27
 
7.9%
도 27
 
7.9%
양 27
 
7.9%
시 27
 
7.9%
면 20
 
5.9%
리 19
 
5.6%
동 18
 
5.3%
Other values (41) 83
24.3%

위도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.405895
Minimum35.329576
Maximum35.504106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T09:20:15.849437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.329576
5-th percentile35.34466
Q135.372025
median35.389195
Q335.438223
95-th percentile35.495894
Maximum35.504106
Range0.17453
Interquartile range (IQR)0.066198

Descriptive statistics

Standard deviation0.051450318
Coefficient of variation (CV)0.0014531569
Kurtosis-0.78658464
Mean35.405895
Median Absolute Deviation (MAD)0.034604
Skewness0.5919469
Sum955.95916
Variance0.0026471353
MonotonicityNot monotonic
2023-12-11T09:20:15.989896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35.366873 1
 
3.7%
35.423799 1
 
3.7%
35.474924 1
 
3.7%
35.377673 1
 
3.7%
35.400947 1
 
3.7%
35.329576 1
 
3.7%
35.343813 1
 
3.7%
35.360564 1
 
3.7%
35.504106 1
 
3.7%
35.409198 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
35.329576 1
3.7%
35.343813 1
3.7%
35.346636 1
3.7%
35.349261 1
3.7%
35.360564 1
3.7%
35.366873 1
3.7%
35.371861 1
3.7%
35.372189 1
3.7%
35.372355 1
3.7%
35.37341 1
3.7%
ValueCountFrequency (%)
35.504106 1
3.7%
35.498143 1
3.7%
35.490648 1
3.7%
35.487259 1
3.7%
35.474924 1
3.7%
35.448915 1
3.7%
35.443826 1
3.7%
35.43262 1
3.7%
35.432185 1
3.7%
35.423799 1
3.7%

경도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0306
Minimum128.88898
Maximum129.17425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T09:20:16.109016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.88898
5-th percentile128.91195
Q1128.97807
median129.04528
Q3129.07729
95-th percentile129.1469
Maximum129.17425
Range0.285275
Interquartile range (IQR)0.0992145

Descriptive statistics

Standard deviation0.073354335
Coefficient of variation (CV)0.00056850338
Kurtosis-0.45450675
Mean129.0306
Median Absolute Deviation (MAD)0.048833
Skewness-0.091272576
Sum3483.8263
Variance0.0053808584
MonotonicityNot monotonic
2023-12-11T09:20:16.250148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
129.174252 1
 
3.7%
129.153043 1
 
3.7%
129.106668 1
 
3.7%
129.056936 1
 
3.7%
129.067082 1
 
3.7%
129.091473 1
 
3.7%
128.978279 1
 
3.7%
128.977864 1
 
3.7%
128.996444 1
 
3.7%
128.967111 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
128.888977 1
3.7%
128.908241 1
3.7%
128.920619 1
3.7%
128.929972 1
3.7%
128.967111 1
3.7%
128.97566 1
3.7%
128.977864 1
3.7%
128.978279 1
3.7%
128.986725 1
3.7%
128.996444 1
3.7%
ValueCountFrequency (%)
129.174252 1
3.7%
129.153043 1
3.7%
129.13255 1
3.7%
129.106668 1
3.7%
129.091473 1
3.7%
129.083398 1
3.7%
129.077753 1
3.7%
129.076819 1
3.7%
129.067082 1
3.7%
129.063265 1
3.7%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
기본현황
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본현황 27
100.0%

Length

2023-12-11T09:20:16.363664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:20:16.449250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 27
100.0%

데이터기준일자
Date

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2020-06-30 00:00:00
Maximum2021-07-30 00:00:00
2023-12-11T09:20:16.520879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:20:16.614545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2023-12-11T09:20:14.034958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:20:13.838044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:20:14.163753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:20:13.933644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:20:16.686268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(년도)읍면동주소위도경도데이터기준일자
구분(년도)1.0001.0001.0000.4510.5800.155
읍면동1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
위도0.4511.0001.0001.0000.0000.000
경도0.5801.0001.0000.0001.0000.585
데이터기준일자0.1551.0001.0000.0000.5851.000
2023-12-11T09:20:16.775663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분(년도)
위도1.0000.1180.160
경도0.1181.0000.308
구분(년도)0.1600.3081.000

Missing values

2023-12-11T09:20:14.268303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:20:14.382562image/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

구분(년도)읍면동주소위도경도출처데이터기준일자
02017덕계동 매곡마을경상남도 양산시 매곡외산로 216(매곡동894-3)35.366873129.174252기본현황2021-07-30
12017주남동 주남마을경상남도 양산시 주남동 607-135.423799129.153043기본현황2020-06-30
22017평산동 장흥마을경상남도 양산시 평산동 101835.37341129.13255기본현황2020-06-30
32017삼성동 영동마을경상남도 양산시 산막동 508-435.372189129.048017기본현황2020-06-30
42017상북면 내석마을경상남도 양산시 상북면 내석리 561-1235.448915129.02144기본현황2020-06-30
52017원동면 외화중리마을경상남도 양산시 원동면 화제리 185235.349261128.97566기본현황2020-06-30
62018원동면 당곡마을경상남도 양산시 원동면 용당리 23735.371861128.908241기본현황2020-06-30
72018원동면 함포마을경상남도 양산시 원동면 원리 407-535.380384128.920619기본현황2020-06-30
82018원동면 선리마을경상남도 양산시 원동면 선리 142035.487259128.986725기본현황2020-06-30
92018어곡동 유산마을경상남도 양산시 어곡동 72-4235.376535129.030057기본현황2020-06-30
구분(년도)읍면동주소위도경도출처데이터기준일자
172020원동면 중리마을경상남도 양산시 원동면 용당리 1251-135.372355128.888977기본현황2020-06-30
182020원동면 선장마을경상남도 양산시 원동면 내포리 895-135.402261128.929972기본현황2020-06-30
192020원동면 늘밭마을경상남도 양산시 원동면 내포리 125-135.409198128.967111기본현황2020-06-30
202020원동면 장선마을경상남도 양산시 원동면 선리 51535.504106128.996444기본현황2020-06-30
212020원동면 내화마을경상남도 양산시 원동면 화제리 2340-735.360564128.977864기본현황2020-06-30
222020원동면 명언마을경상남도 양산시 원동면 화제리 176435.343813128.978279기본현황2020-06-30
232020동면 산지마을경상남도 양산시 동면 여락리 624-135.329576129.091473기본현황2020-06-30
242020상북면 구소석마을경상남도 양산시 상북면 석계리 1089-135.400947129.067082기본현황2020-06-30
252020상북면 소노마을경상남도 양산시 상북면 소토리 40635.377673129.056936기본현황2020-06-30
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