Overview

Dataset statistics

Number of variables5
Number of observations119
Missing cells4
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory42.1 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description의류수거함 설치 현황 데이터는 합천군 관내 설치되어 있는 의료수거함의 행정동, 설치장소, 상세설치장소, 관리단체에 대한 정보를 제공하고 있습니다.
Author경상남도 합천군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15127255

Alerts

연번 is highly overall correlated with 행정동 and 1 other fieldsHigh correlation
행정동 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
관리단체 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
행정동 is highly imbalanced (50.7%)Imbalance
상세설치장소 has 4 (3.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:19:34.193707
Analysis finished2024-03-23 07:19:36.259237
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T07:19:36.872890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2024-03-23T07:19:37.584446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
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 (%)
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%

행정동
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
합천읍
89 
초계면
15 
가야면
 
8
적중면
 
4
율곡면
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
합천읍 89
74.8%
초계면 15
 
12.6%
가야면 8
 
6.7%
적중면 4
 
3.4%
율곡면 2
 
1.7%
청덕면 1
 
0.8%

Length

2024-03-23T07:19:38.356789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:19:39.107784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
합천읍 89
74.8%
초계면 15
 
12.6%
가야면 8
 
6.7%
적중면 4
 
3.4%
율곡면 2
 
1.7%
청덕면 1
 
0.8%

설치장소
Text

Distinct104
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:19:40.352332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.184874
Min length18

Characters and Unicode

Total characters2402
Distinct characters72
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

Unique95 ?
Unique (%)79.8%

Sample

1st row경상남도 합천군 합천읍 충효로 15
2nd row경상남도 합천군 합천읍 옥산로 117
3rd row경상남도 합천군 합천읍 옥산로 117
4th row경상남도 합천군 합천읍 문화로 53
5th row경상남도 합천군 합천읍 문화로 57
ValueCountFrequency (%)
경상남도 119
20.1%
합천군 119
20.1%
합천읍 89
15.1%
충효로 15
 
2.5%
초계면 15
 
2.5%
중앙로 12
 
2.0%
옥산로 11
 
1.9%
동서로 10
 
1.7%
남정길 10
 
1.7%
가야면 8
 
1.4%
Other values (123) 183
31.0%
2024-03-23T07:19:43.711272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
472
19.7%
천 215
 
9.0%
합 211
 
8.8%
남 129
 
5.4%
상 123
 
5.1%
경 119
 
5.0%
도 119
 
5.0%
군 119
 
5.0%
1 91
 
3.8%
읍 89
 
3.7%
Other values (62) 715
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1570
65.4%
Space Separator 472
 
19.7%
Decimal Number 323
 
13.4%
Dash Punctuation 37
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 215
13.7%
합 211
13.4%
남 129
 
8.2%
상 123
 
7.8%
경 119
 
7.6%
도 119
 
7.6%
군 119
 
7.6%
읍 89
 
5.7%
로 74
 
4.7%
길 35
 
2.2%
Other values (50) 337
21.5%
Decimal Number
ValueCountFrequency (%)
1 91
28.2%
2 51
15.8%
3 41
12.7%
5 26
 
8.0%
8 26
 
8.0%
9 20
 
6.2%
7 20
 
6.2%
4 18
 
5.6%
0 18
 
5.6%
6 12
 
3.7%
Space Separator
ValueCountFrequency (%)
472
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1570
65.4%
Common 832
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 215
13.7%
합 211
13.4%
남 129
 
8.2%
상 123
 
7.8%
경 119
 
7.6%
도 119
 
7.6%
군 119
 
7.6%
읍 89
 
5.7%
로 74
 
4.7%
길 35
 
2.2%
Other values (50) 337
21.5%
Common
ValueCountFrequency (%)
472
56.7%
1 91
 
10.9%
2 51
 
6.1%
3 41
 
4.9%
- 37
 
4.4%
5 26
 
3.1%
8 26
 
3.1%
9 20
 
2.4%
7 20
 
2.4%
4 18
 
2.2%
Other values (2) 30
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1570
65.4%
ASCII 832
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
472
56.7%
1 91
 
10.9%
2 51
 
6.1%
3 41
 
4.9%
- 37
 
4.4%
5 26
 
3.1%
8 26
 
3.1%
9 20
 
2.4%
7 20
 
2.4%
4 18
 
2.2%
Other values (2) 30
 
3.6%
Hangul
ValueCountFrequency (%)
천 215
13.7%
합 211
13.4%
남 129
 
8.2%
상 123
 
7.8%
경 119
 
7.6%
도 119
 
7.6%
군 119
 
7.6%
읍 89
 
5.7%
로 74
 
4.7%
길 35
 
2.2%
Other values (50) 337
21.5%

상세설치장소
Text

MISSING 

Distinct109
Distinct (%)94.8%
Missing4
Missing (%)3.4%
Memory size1.1 KiB
2024-03-23T07:19:44.652135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length10.773913
Min length3

Characters and Unicode

Total characters1239
Distinct characters208
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

Unique104 ?
Unique (%)90.4%

Sample

1st row농업기술센터 후문(135번 배출장)
2nd row한미2차 101동 앞 인도
3rd row한미2차 102동 앞 인도
4th row삼화파크빌라
5th row미가아트빌
ValueCountFrequency (%)
배출장 18
 
6.7%
앞 14
 
5.2%
옆 14
 
5.2%
주차장 7
 
2.6%
입구 6
 
2.2%
맞은편 4
 
1.5%
전봇대 4
 
1.5%
한주파크아파트 4
 
1.5%
영창주공아파트 4
 
1.5%
황강하이츠 3
 
1.1%
Other values (156) 191
71.0%
2024-03-23T07:19:46.084124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
13.7%
1 37
 
3.0%
빌 31
 
2.5%
) 29
 
2.3%
장 29
 
2.3%
( 29
 
2.3%
동 24
 
1.9%
라 24
 
1.9%
파 23
 
1.9%
아 22
 
1.8%
Other values (198) 821
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 900
72.6%
Space Separator 170
 
13.7%
Decimal Number 96
 
7.7%
Close Punctuation 29
 
2.3%
Open Punctuation 29
 
2.3%
Uppercase Letter 7
 
0.6%
Other Punctuation 5
 
0.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 31
 
3.4%
장 29
 
3.2%
동 24
 
2.7%
라 24
 
2.7%
파 23
 
2.6%
아 22
 
2.4%
옆 20
 
2.2%
트 20
 
2.2%
출 18
 
2.0%
배 18
 
2.0%
Other values (180) 671
74.6%
Decimal Number
ValueCountFrequency (%)
1 37
38.5%
2 15
15.6%
3 9
 
9.4%
0 9
 
9.4%
4 8
 
8.3%
5 7
 
7.3%
6 5
 
5.2%
8 3
 
3.1%
9 3
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
A 2
28.6%
H 1
 
14.3%
U 1
 
14.3%
Space Separator
ValueCountFrequency (%)
170
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 900
72.6%
Common 332
 
26.8%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 31
 
3.4%
장 29
 
3.2%
동 24
 
2.7%
라 24
 
2.7%
파 23
 
2.6%
아 22
 
2.4%
옆 20
 
2.2%
트 20
 
2.2%
출 18
 
2.0%
배 18
 
2.0%
Other values (180) 671
74.6%
Common
ValueCountFrequency (%)
170
51.2%
1 37
 
11.1%
) 29
 
8.7%
( 29
 
8.7%
2 15
 
4.5%
3 9
 
2.7%
0 9
 
2.7%
4 8
 
2.4%
5 7
 
2.1%
, 5
 
1.5%
Other values (4) 14
 
4.2%
Latin
ValueCountFrequency (%)
B 3
42.9%
A 2
28.6%
H 1
 
14.3%
U 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 900
72.6%
ASCII 339
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
50.1%
1 37
 
10.9%
) 29
 
8.6%
( 29
 
8.6%
2 15
 
4.4%
3 9
 
2.7%
0 9
 
2.7%
4 8
 
2.4%
5 7
 
2.1%
, 5
 
1.5%
Other values (8) 21
 
6.2%
Hangul
ValueCountFrequency (%)
빌 31
 
3.4%
장 29
 
3.2%
동 24
 
2.7%
라 24
 
2.7%
파 23
 
2.6%
아 22
 
2.4%
옆 20
 
2.2%
트 20
 
2.2%
출 18
 
2.0%
배 18
 
2.0%
Other values (180) 671
74.6%

관리단체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
성서상사
59 
새마을협의회
23 
개인
19 
다래자원
18 

Length

Max length6
Median length4
Mean length4.0672269
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성서상사
2nd row새마을협의회
3rd row성서상사
4th row성서상사
5th row새마을협의회

Common Values

ValueCountFrequency (%)
성서상사 59
49.6%
새마을협의회 23
 
19.3%
개인 19
 
16.0%
다래자원 18
 
15.1%

Length

2024-03-23T07:19:46.617362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:19:47.094480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성서상사 59
49.6%
새마을협의회 23
 
19.3%
개인 19
 
16.0%
다래자원 18
 
15.1%

Interactions

2024-03-23T07:19:35.154225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:19:47.305992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동관리단체
연번1.0000.7430.802
행정동0.7431.0000.785
관리단체0.8020.7851.000
2024-03-23T07:19:47.622077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동관리단체
행정동1.0000.624
관리단체0.6241.000
2024-03-23T07:19:47.960292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동관리단체
연번1.0000.5030.611
행정동0.5031.0000.624
관리단체0.6110.6241.000

Missing values

2024-03-23T07:19:35.637407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:19:36.147731image/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

연번행정동설치장소상세설치장소관리단체
01합천읍경상남도 합천군 합천읍 충효로 15농업기술센터 후문(135번 배출장)성서상사
12합천읍경상남도 합천군 합천읍 옥산로 117한미2차 101동 앞 인도새마을협의회
23합천읍경상남도 합천군 합천읍 옥산로 117한미2차 102동 앞 인도성서상사
34합천읍경상남도 합천군 합천읍 문화로 53삼화파크빌라성서상사
45합천읍경상남도 합천군 합천읍 문화로 57미가아트빌새마을협의회
56합천읍경상남도 합천군 합천읍 충효로 13황강하이츠새마을협의회
67합천읍경상남도 합천군 합천읍 충효로 13황강하이츠새마을협의회
78합천읍경상남도 합천군 합천읍 충효로 13황강하이츠새마을협의회
89합천읍경상남도 합천군 합천읍 충효로 23-9미가클래스3차 B동 앞(정각옆)성서상사
910합천읍경상남도 합천군 합천읍 충효로 23-9미가클래스3차 A동성서상사
연번행정동설치장소상세설치장소관리단체
109110초계면경상남도 합천군 초계면 초계중앙로 32-8맞은편 (주차장 부근)개인
110111초계면경상남도 합천군 초계면 교촌 3길 6맞은편 (주차장 부근)다래자원
111112초계면경상남도 합천군 초계면 교촌2길 21근처(도로변 우측)다래자원
112113초계면경상남도 합천군 초계면 동부로 1068중리마을회관(입구 우측)다래자원
113114초계면경상남도 합천군 초계면 초계중앙로 110스카이룸 입구다래자원
114115청덕면경상남도 합천군 청덕면 의합대로 2932적교 방범초소다래자원
115116적중면경상남도 합천군 적중면 상부리 811-2<NA>다래자원
116117적중면경상남도 합천군 적중면 상부리 68-3<NA>다래자원
117118적중면경상남도 합천군 적중면 상부리 133-2<NA>다래자원
118119적중면경상남도 합천군 적중면 상부리 38-1<NA>다래자원