Overview

Dataset statistics

Number of variables6
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory50.8 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description경상남도 의령군의 쓰레기분리수거장의 정보를 제공하는 데이터 입니다.읍면별 쓰레기분리수거장이 설치된장소의 마을명과 설치장소의 지번주소, 세부위치명을 제공하고 있습니다.
Author경상남도 의령군
URLhttps://www.data.go.kr/data/15099961/fileData.do

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

Reproduction

Analysis started2024-04-06 08:09:35.156345
Analysis finished2024-04-06 08:09:37.200381
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.5
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-06T17:09:37.354632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.65
Q119.25
median37.5
Q355.75
95-th percentile70.35
Maximum74
Range73
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.505813
Coefficient of variation (CV)0.57348835
Kurtosis-1.2
Mean37.5
Median Absolute Deviation (MAD)18.5
Skewness0
Sum2775
Variance462.5
MonotonicityStrictly increasing
2024-04-06T17:09:37.687635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%

읍면
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
의령읍
15 
지정면
10 
궁류면
7 
대의면
6 
부림면
6 
Other values (8)
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
의령읍 15
20.3%
지정면 10
13.5%
궁류면 7
9.5%
대의면 6
 
8.1%
부림면 6
 
8.1%
용덕면 5
 
6.8%
가례면 4
 
5.4%
낙서면 4
 
5.4%
봉수면 4
 
5.4%
유곡면 4
 
5.4%
Other values (3) 9
12.2%

Length

2024-04-06T17:09:37.917165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의령읍 15
20.3%
지정면 10
13.5%
궁류면 7
9.5%
대의면 6
 
8.1%
부림면 6
 
8.1%
용덕면 5
 
6.8%
가례면 4
 
5.4%
낙서면 4
 
5.4%
봉수면 4
 
5.4%
유곡면 4
 
5.4%
Other values (3) 9
12.2%

마을명
Text

Distinct65
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-06T17:09:38.323213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0810811
Min length2

Characters and Unicode

Total characters154
Distinct characters70
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

Unique57 ?
Unique (%)77.0%

Sample

1st row갑을
2nd row가례
3rd row양성
4th row평촌
5th row토곡
ValueCountFrequency (%)
평촌 3
 
4.1%
행복 2
 
2.7%
서신 2
 
2.7%
계현1구 2
 
2.7%
당동 2
 
2.7%
서본 2
 
2.7%
신기 2
 
2.7%
중촌 2
 
2.7%
남산 1
 
1.4%
갑을 1
 
1.4%
Other values (55) 55
74.3%
2024-04-06T17:09:39.054793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
신 10
 
6.5%
촌 8
 
5.2%
곡 7
 
4.5%
구 6
 
3.9%
서 6
 
3.9%
동 5
 
3.2%
상 5
 
3.2%
산 5
 
3.2%
성 4
 
2.6%
무 4
 
2.6%
Other values (60) 94
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
98.7%
Decimal Number 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 10
 
6.6%
촌 8
 
5.3%
곡 7
 
4.6%
구 6
 
3.9%
서 6
 
3.9%
동 5
 
3.3%
상 5
 
3.3%
산 5
 
3.3%
성 4
 
2.6%
무 4
 
2.6%
Other values (59) 92
60.5%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 10
 
6.6%
촌 8
 
5.3%
곡 7
 
4.6%
구 6
 
3.9%
서 6
 
3.9%
동 5
 
3.3%
상 5
 
3.3%
산 5
 
3.3%
성 4
 
2.6%
무 4
 
2.6%
Other values (59) 92
60.5%
Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
신 10
 
6.6%
촌 8
 
5.3%
곡 7
 
4.6%
구 6
 
3.9%
서 6
 
3.9%
동 5
 
3.3%
상 5
 
3.3%
산 5
 
3.3%
성 4
 
2.6%
무 4
 
2.6%
Other values (59) 92
60.5%
ASCII
ValueCountFrequency (%)
1 2
100.0%

설치장소 주소
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-06T17:09:39.614659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.283784
Min length14

Characters and Unicode

Total characters1427
Distinct characters99
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

Unique74 ?
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 (%)
의령군 74
20.2%
경남 73
19.9%
의령읍 13
 
3.5%
지정면 10
 
2.7%
궁류면 7
 
1.9%
대의면 6
 
1.6%
부림면 6
 
1.6%
용덕면 5
 
1.4%
가례면 4
 
1.1%
유곡면 4
 
1.1%
Other values (135) 165
45.0%
2024-04-06T17:09:40.507554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
20.5%
의 99
 
6.9%
령 87
 
6.1%
경 75
 
5.3%
군 74
 
5.2%
남 74
 
5.2%
리 62
 
4.3%
면 59
 
4.1%
1 54
 
3.8%
- 50
 
3.5%
Other values (89) 500
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 814
57.0%
Space Separator 293
 
20.5%
Decimal Number 270
 
18.9%
Dash Punctuation 50
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 99
12.2%
령 87
 
10.7%
경 75
 
9.2%
군 74
 
9.1%
남 74
 
9.1%
리 62
 
7.6%
면 59
 
7.2%
곡 20
 
2.5%
정 17
 
2.1%
읍 13
 
1.6%
Other values (77) 234
28.7%
Decimal Number
ValueCountFrequency (%)
1 54
20.0%
2 33
12.2%
4 31
11.5%
3 26
9.6%
5 26
9.6%
7 24
8.9%
6 22
8.1%
9 22
8.1%
0 18
 
6.7%
8 14
 
5.2%
Space Separator
ValueCountFrequency (%)
293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 814
57.0%
Common 613
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 99
12.2%
령 87
 
10.7%
경 75
 
9.2%
군 74
 
9.1%
남 74
 
9.1%
리 62
 
7.6%
면 59
 
7.2%
곡 20
 
2.5%
정 17
 
2.1%
읍 13
 
1.6%
Other values (77) 234
28.7%
Common
ValueCountFrequency (%)
293
47.8%
1 54
 
8.8%
- 50
 
8.2%
2 33
 
5.4%
4 31
 
5.1%
3 26
 
4.2%
5 26
 
4.2%
7 24
 
3.9%
6 22
 
3.6%
9 22
 
3.6%
Other values (2) 32
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 814
57.0%
ASCII 613
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
47.8%
1 54
 
8.8%
- 50
 
8.2%
2 33
 
5.4%
4 31
 
5.1%
3 26
 
4.2%
5 26
 
4.2%
7 24
 
3.9%
6 22
 
3.6%
9 22
 
3.6%
Other values (2) 32
 
5.2%
Hangul
ValueCountFrequency (%)
의 99
12.2%
령 87
 
10.7%
경 75
 
9.2%
군 74
 
9.1%
남 74
 
9.1%
리 62
 
7.6%
면 59
 
7.2%
곡 20
 
2.5%
정 17
 
2.1%
읍 13
 
1.6%
Other values (77) 234
28.7%

세부위치
Text

Distinct70
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-06T17:09:40.964707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.0810811
Min length4

Characters and Unicode

Total characters598
Distinct characters120
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

Unique69 ?
Unique (%)93.2%

Sample

1st row갑을마을 주차장
2nd row가례마을 공터
3rd row양성마을 버스승강장 근처
4th row평촌마을 주차장
5th row토곡마을회관
ValueCountFrequency (%)
근처 20
 
15.4%
도로변 9
 
6.9%
주차장 9
 
6.9%
마을회관 5
 
3.8%
공터 3
 
2.3%
버스승강장 3
 
2.3%
입구 3
 
2.3%
옆 2
 
1.5%
맞은편 2
 
1.5%
신우희가로 1
 
0.8%
Other values (73) 73
56.2%
2024-04-06T17:09:41.708579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
9.4%
마 54
 
9.0%
을 54
 
9.0%
회 32
 
5.4%
관 32
 
5.4%
근 21
 
3.5%
처 21
 
3.5%
로 15
 
2.5%
장 13
 
2.2%
주 11
 
1.8%
Other values (110) 289
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 539
90.1%
Space Separator 56
 
9.4%
Decimal Number 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 54
 
10.0%
을 54
 
10.0%
회 32
 
5.9%
관 32
 
5.9%
근 21
 
3.9%
처 21
 
3.9%
로 15
 
2.8%
장 13
 
2.4%
주 11
 
2.0%
차 10
 
1.9%
Other values (107) 276
51.2%
Space Separator
ValueCountFrequency (%)
56
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 539
90.1%
Common 59
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 54
 
10.0%
을 54
 
10.0%
회 32
 
5.9%
관 32
 
5.9%
근 21
 
3.9%
처 21
 
3.9%
로 15
 
2.8%
장 13
 
2.4%
주 11
 
2.0%
차 10
 
1.9%
Other values (107) 276
51.2%
Common
ValueCountFrequency (%)
56
94.9%
1 2
 
3.4%
- 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 539
90.1%
ASCII 59
 
9.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
94.9%
1 2
 
3.4%
- 1
 
1.7%
Hangul
ValueCountFrequency (%)
마 54
 
10.0%
을 54
 
10.0%
회 32
 
5.9%
관 32
 
5.9%
근 21
 
3.9%
처 21
 
3.9%
로 15
 
2.8%
장 13
 
2.4%
주 11
 
2.0%
차 10
 
1.9%
Other values (107) 276
51.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2024-03-25 00:00:00
Maximum2024-03-25 00:00:00
2024-04-06T17:09:41.946855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:42.136844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:09:36.675309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:09:42.274188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면마을명설치장소 주소세부위치
연번1.0000.9080.8581.0000.821
읍면0.9081.0000.9481.0000.000
마을명0.8580.9481.0001.0000.889
설치장소 주소1.0001.0001.0001.0001.000
세부위치0.8210.0000.8891.0001.000
2024-04-06T17:09:42.439574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.672
읍면0.6721.000

Missing values

2024-04-06T17:09:36.906237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:09:37.101595image/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 주차장2024-03-25
12가례면가례경남 의령군 가례면 가례리 443가례마을 공터2024-03-25
23가례면양성경남 의령군 가례면 양성리 619-8양성마을 버스승강장 근처2024-03-25
34가례면평촌경남 의령군 가례면 운암리 200-27평촌마을 주차장2024-03-25
45궁류면토곡경남 의령군 궁류면 토곡리 823토곡마을회관2024-03-25
56궁류면계현1구경남 의령군 궁류면 계현리 274-9계현1리마을회관2024-03-25
67궁류면석정경남 의령군 궁류면 토곡리 591-27석정마을회관2024-03-25
78궁류면당동경남 의령군 궁류면 궁류로 7길 19당동마을회관근처2024-03-25
89궁류면지동경남 의령군 궁류면 다현리지동저수지 근처2024-03-25
910궁류면평촌경남 의령군 궁류면 평촌리 491평촌경로당2024-03-25
연번읍면마을명설치장소 주소세부위치데이터기준일
6465칠곡면입암경남 의령군 칠곡면 신포리 739-2마을입구 주차장 쪽2024-03-25
6566칠곡면죽공경남 의령군 칠곡면 산북리 549-1죽공마을복지회관2024-03-25
6667칠곡면중촌경남 의령군 칠곡면 외조리 206-1중촌마을회관2024-03-25
6768화정면유수경남 의령군 화정면 진의4길 139유수마을회관2024-03-25
6869의령읍서남경남 의령군 의령읍 하리 490-2서남마을 입구 다리2024-03-25
6970칠곡면신포경남 의령군 칠곡면 신포리 666-1신포마을회관 맞은편2024-03-25
7071대의면평촌경남 의령군 대의면 마쌍리 164-4평촌마을입구 공터2024-03-25
7172지정면마산경남 의령군 지정면 마산리 948-8마산마을회관 맞은편2024-03-25
7273궁류면계현1구경남 의령군 궁류면 계현리 313계현1구마을입구 공터2024-03-25
7374유곡면당동경남 의령군 유곡면 당동리 105당동마을회관 옆2024-03-25