Overview

Dataset statistics

Number of variables6
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory51.0 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description경상남도 의령군의 쓰레기분리수거장의 정보를 제공하는 데이터 입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15099961

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
설치장소 주소 has unique valuesUnique
세부위치 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:04:08.501977
Analysis finished2024-04-06 08:04:09.504932
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-06T17:04:09.624874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2024-04-06T17:04:09.884362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

읍면
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size660.0 B
의령읍
15 
지정면
대의면
궁류면
부림면
Other values (8)
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row가례면
2nd row가례면
3rd row가례면
4th row가례면
5th row궁류면

Common Values

ValueCountFrequency (%)
의령읍 15
22.7%
지정면 8
12.1%
대의면 6
 
9.1%
궁류면 5
 
7.6%
부림면 5
 
7.6%
용덕면 5
 
7.6%
가례면 4
 
6.1%
봉수면 4
 
6.1%
정곡면 4
 
6.1%
칠곡면 4
 
6.1%
Other values (3) 6
 
9.1%

Length

2024-04-06T17:04:10.149847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의령읍 15
22.7%
지정면 8
12.1%
대의면 6
 
9.1%
궁류면 5
 
7.6%
부림면 5
 
7.6%
용덕면 5
 
7.6%
가례면 4
 
6.1%
봉수면 4
 
6.1%
정곡면 4
 
6.1%
칠곡면 4
 
6.1%
Other values (3) 6
 
9.1%
Distinct58
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-06T17:04:10.532573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0757576
Min length2

Characters and Unicode

Total characters137
Distinct characters67
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

Unique51 ?
Unique (%)77.3%

Sample

1st row갑을
2nd row가례
3rd row양성
4th row평촌
5th row토곡
ValueCountFrequency (%)
평촌 3
 
4.5%
계현1구 2
 
3.0%
서본 2
 
3.0%
신기 2
 
3.0%
중촌 2
 
3.0%
서신 2
 
3.0%
행복 2
 
3.0%
대신 1
 
1.5%
구룡 1
 
1.5%
두곡 1
 
1.5%
Other values (48) 48
72.7%
2024-04-06T17:04:11.197491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
7.3%
7
 
5.1%
6
 
4.4%
5
 
3.6%
5
 
3.6%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
Other values (57) 84
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
98.5%
Decimal Number 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
7.4%
7
 
5.2%
6
 
4.4%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (56) 82
60.7%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
98.5%
Common 2
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
7.4%
7
 
5.2%
6
 
4.4%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (56) 82
60.7%
Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
98.5%
ASCII 2
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
7.4%
7
 
5.2%
6
 
4.4%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (56) 82
60.7%
ASCII
ValueCountFrequency (%)
1 2
100.0%

설치장소 주소
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-06T17:04:11.692810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21.5
Mean length19.409091
Min length16

Characters and Unicode

Total characters1281
Distinct characters94
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

Unique66 ?
Unique (%)100.0%

Sample

1st row경남 의령군 가례면 갑을리 243-2
2nd row경남 의령군 가례면 가례리 443
3rd row경남 의령군 가례면 양성리 619-8
4th row경남 의령군 가례면 운암리 200-27
5th row경남 의령군 궁류면 토곡리 823
ValueCountFrequency (%)
경남 66
20.2%
의령군 66
20.2%
의령읍 13
 
4.0%
지정면 8
 
2.5%
대의면 6
 
1.8%
용덕면 5
 
1.5%
부림면 5
 
1.5%
궁류면 5
 
1.5%
정곡면 4
 
1.2%
칠곡면 4
 
1.2%
Other values (119) 144
44.2%
2024-04-06T17:04:12.557228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
20.3%
91
 
7.1%
79
 
6.2%
67
 
5.2%
67
 
5.2%
66
 
5.2%
56
 
4.4%
1 51
 
4.0%
51
 
4.0%
- 48
 
3.7%
Other values (84) 445
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 724
56.5%
Space Separator 260
 
20.3%
Decimal Number 249
 
19.4%
Dash Punctuation 48
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
91
12.6%
79
 
10.9%
67
 
9.3%
67
 
9.3%
66
 
9.1%
56
 
7.7%
51
 
7.0%
17
 
2.3%
14
 
1.9%
13
 
1.8%
Other values (72) 203
28.0%
Decimal Number
ValueCountFrequency (%)
1 51
20.5%
4 30
12.0%
2 28
11.2%
5 26
10.4%
7 22
8.8%
3 21
8.4%
6 21
8.4%
9 20
 
8.0%
0 16
 
6.4%
8 14
 
5.6%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 724
56.5%
Common 557
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
91
12.6%
79
 
10.9%
67
 
9.3%
67
 
9.3%
66
 
9.1%
56
 
7.7%
51
 
7.0%
17
 
2.3%
14
 
1.9%
13
 
1.8%
Other values (72) 203
28.0%
Common
ValueCountFrequency (%)
260
46.7%
1 51
 
9.2%
- 48
 
8.6%
4 30
 
5.4%
2 28
 
5.0%
5 26
 
4.7%
7 22
 
3.9%
3 21
 
3.8%
6 21
 
3.8%
9 20
 
3.6%
Other values (2) 30
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 724
56.5%
ASCII 557
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
46.7%
1 51
 
9.2%
- 48
 
8.6%
4 30
 
5.4%
2 28
 
5.0%
5 26
 
4.7%
7 22
 
3.9%
3 21
 
3.8%
6 21
 
3.8%
9 20
 
3.6%
Other values (2) 30
 
5.4%
Hangul
ValueCountFrequency (%)
91
12.6%
79
 
10.9%
67
 
9.3%
67
 
9.3%
66
 
9.1%
56
 
7.7%
51
 
7.0%
17
 
2.3%
14
 
1.9%
13
 
1.8%
Other values (72) 203
28.0%

세부위치
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-06T17:04:13.095009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.1515152
Min length4

Characters and Unicode

Total characters538
Distinct characters118
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

Unique66 ?
Unique (%)100.0%

Sample

1st row갑을마을 주차장
2nd row가례마을 공터
3rd row양성마을 버스승강장 근처
4th row평촌마을 주차장
5th row토곡마을회관
ValueCountFrequency (%)
근처 13
 
11.3%
주차장 9
 
7.8%
도로변 9
 
7.8%
공터 3
 
2.6%
버스승강장 3
 
2.6%
입구 3
 
2.6%
맞은편 2
 
1.7%
2
 
1.7%
갑을마을 1
 
0.9%
만산마을 1
 
0.9%
Other values (69) 69
60.0%
2024-04-06T17:04:13.945523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
9.1%
49
 
9.1%
49
 
9.1%
27
 
5.0%
27
 
5.0%
13
 
2.4%
13
 
2.4%
13
 
2.4%
13
 
2.4%
11
 
2.0%
Other values (108) 274
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
90.3%
Space Separator 49
 
9.1%
Decimal Number 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
10.1%
49
 
10.1%
27
 
5.6%
27
 
5.6%
13
 
2.7%
13
 
2.7%
13
 
2.7%
13
 
2.7%
11
 
2.3%
10
 
2.1%
Other values (105) 261
53.7%
Space Separator
ValueCountFrequency (%)
49
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
90.3%
Common 52
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
10.1%
49
 
10.1%
27
 
5.6%
27
 
5.6%
13
 
2.7%
13
 
2.7%
13
 
2.7%
13
 
2.7%
11
 
2.3%
10
 
2.1%
Other values (105) 261
53.7%
Common
ValueCountFrequency (%)
49
94.2%
1 2
 
3.8%
- 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
90.3%
ASCII 52
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
10.1%
49
 
10.1%
27
 
5.6%
27
 
5.6%
13
 
2.7%
13
 
2.7%
13
 
2.7%
13
 
2.7%
11
 
2.3%
10
 
2.1%
Other values (105) 261
53.7%
ASCII
ValueCountFrequency (%)
49
94.2%
1 2
 
3.8%
- 1
 
1.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-03-29
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-29
2nd row2023-03-29
3rd row2023-03-29
4th row2023-03-29
5th row2023-03-29

Common Values

ValueCountFrequency (%)
2023-03-29 66
100.0%

Length

2024-04-06T17:04:14.265668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:04:14.542530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-29 66
100.0%

Interactions

2024-04-06T17:04:09.037995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:04:14.713854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면마을명설치장소 주소세부위치
연번1.0000.8810.9511.0001.000
읍면0.8811.0000.9431.0001.000
마을명0.9510.9431.0001.0001.000
설치장소 주소1.0001.0001.0001.0001.000
세부위치1.0001.0001.0001.0001.000
2024-04-06T17:04:14.943887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.618
읍면0.6181.000

Missing values

2024-04-06T17:04:09.235680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:04:09.416152image/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

연번읍면마을명설치장소 주소세부위치데이터기준일
01가례면갑을경남 의령군 가례면 갑을리 243-2갑을마을 주차장2023-03-29
12가례면가례경남 의령군 가례면 가례리 443가례마을 공터2023-03-29
23가례면양성경남 의령군 가례면 양성리 619-8양성마을 버스승강장 근처2023-03-29
34가례면평촌경남 의령군 가례면 운암리 200-27평촌마을 주차장2023-03-29
45궁류면토곡경남 의령군 궁류면 토곡리 823토곡마을회관2023-03-29
56궁류면계현1구경남 의령군 궁류면 계현리 274-9계현1리마을회관2023-03-29
67궁류면석정경남 의령군 궁류면 토곡리 591-27석정마을회관2023-03-29
78궁류면평촌경남 의령군 궁류면 평촌리 491평촌경로당2023-03-29
89낙서면신기경남 의령군 낙서면 정곡리 141-1신기마을 주차장2023-03-29
910낙서면율산경남 의령군 낙서면 율산리 464-1율산마을회관2023-03-29
연번읍면마을명설치장소 주소세부위치데이터기준일
5657칠곡면입암경남 의령군 칠곡면 신포리 739-2마을입구 주차장 쪽2023-03-29
5758칠곡면죽공경남 의령군 칠곡면 산북리 549-1죽공마을복지회관2023-03-29
5859칠곡면중촌경남 의령군 칠곡면 외조리 206-1중촌마을회관2023-03-29
5960화정면유수경남 의령군 화정면 진의4길 139유수마을회관2023-03-29
6061의령읍서남경남 의령군 의령읍 하리 490-2서남마을 입구 다리2023-03-29
6162칠곡면신포경남 의령군 칠곡면 신포리 666-1신포마을회관 맞은편2023-03-29
6263대의면평촌경남 의령군 대의면 마쌍리 164-4평촌마을입구 공터2023-03-29
6364지정면마산경남 의령군 지정면 마산리 948-8마산마을회관 맞은편2023-03-29
6465궁류면계현1구경남 의령군 궁류면 계현리 313계현1구마을입구 공터2023-03-29
6566유곡면당동경남 의령군 유곡면 당동리 105당동마을회관 옆2023-03-29