Overview

Dataset statistics

Number of variables4
Number of observations240
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description경상남도 함안군 마을회관에 대한 공공데이터로 2022. 11. 21.일자 기준 경상남도 함안군 마을회관 개소수, 명칭, 도로명주소 등의 항목을 제공합니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033241

Alerts

연번 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:24:50.327575
Analysis finished2023-12-10 23:24:50.766258
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.5
Minimum1
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T08:24:50.835394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.95
Q160.75
median120.5
Q3180.25
95-th percentile228.05
Maximum240
Range239
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation69.42622
Coefficient of variation (CV)0.5761512
Kurtosis-1.2
Mean120.5
Median Absolute Deviation (MAD)60
Skewness0
Sum28920
Variance4820
MonotonicityStrictly increasing
2023-12-11T08:24:50.963337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
122 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
Other values (230) 230
95.8%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%

읍면
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
가야읍
45 
군북면
36 
칠원읍
26 
칠서면
24 
함안면
23 
Other values (5)
86 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가야읍 45
18.8%
군북면 36
15.0%
칠원읍 26
10.8%
칠서면 24
10.0%
함안면 23
9.6%
법수면 23
9.6%
대산면 20
8.3%
산인면 17
 
7.1%
칠북면 16
 
6.7%
여항면 10
 
4.2%

Length

2023-12-11T08:24:51.093779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:24:51.208164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가야읍 45
18.8%
군북면 36
15.0%
칠원읍 26
10.8%
칠서면 24
10.0%
함안면 23
9.6%
법수면 23
9.6%
대산면 20
8.3%
산인면 17
 
7.1%
칠북면 16
 
6.7%
여항면 10
 
4.2%

마을회관명
Text

Distinct226
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T08:24:51.466997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length6.2666667
Min length6

Characters and Unicode

Total characters1504
Distinct characters151
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)89.2%

Sample

1st row본동마을회관
2nd row중동마을회관
3rd row해동마을회관
4th row동동마을회관
5th row신동마을회관
ValueCountFrequency (%)
서촌마을회관 3
 
1.2%
동촌마을회관 3
 
1.2%
중촌마을회관 2
 
0.8%
백산마을회관 2
 
0.8%
대암마을회관 2
 
0.8%
덕암마을회관 2
 
0.8%
이곡마을회관 2
 
0.8%
대사마을회관 2
 
0.8%
유계마을회관 2
 
0.8%
어연마을회관 2
 
0.8%
Other values (217) 220
90.9%
2023-12-11T08:24:52.135928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 241
16.0%
관 241
16.0%
을 240
16.0%
회 240
16.0%
동 48
 
3.2%
촌 24
 
1.6%
산 23
 
1.5%
곡 19
 
1.3%
암 13
 
0.9%
신 13
 
0.9%
Other values (141) 402
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1497
99.5%
Decimal Number 5
 
0.3%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 241
16.1%
관 241
16.1%
을 240
16.0%
회 240
16.0%
동 48
 
3.2%
촌 24
 
1.6%
산 23
 
1.5%
곡 19
 
1.3%
암 13
 
0.9%
신 13
 
0.9%
Other values (138) 395
26.4%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1497
99.5%
Common 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 241
16.1%
관 241
16.1%
을 240
16.0%
회 240
16.0%
동 48
 
3.2%
촌 24
 
1.6%
산 23
 
1.5%
곡 19
 
1.3%
암 13
 
0.9%
신 13
 
0.9%
Other values (138) 395
26.4%
Common
ValueCountFrequency (%)
1 3
42.9%
2
28.6%
2 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1497
99.5%
ASCII 7
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 241
16.1%
관 241
16.1%
을 240
16.0%
회 240
16.0%
동 48
 
3.2%
촌 24
 
1.6%
산 23
 
1.5%
곡 19
 
1.3%
암 13
 
0.9%
신 13
 
0.9%
Other values (138) 395
26.4%
ASCII
ValueCountFrequency (%)
1 3
42.9%
2
28.6%
2 2
28.6%

주 소
Text

UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T08:24:52.474070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length21.275
Min length18

Characters and Unicode

Total characters5106
Distinct characters166
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

Unique240 ?
Unique (%)100.0%

Sample

1st row경상남도 함안군 가야읍 본동길57
2nd row경상남도 함안군 가야읍 방목1길 22
3rd row경상남도 함안군 가야읍 해동길22
4th row경상남도 함안군 가야읍 방목1길 32
5th row경상남도 함안군 가야읍 가야17길22
ValueCountFrequency (%)
경상남도 240
20.3%
함안군 240
20.3%
가야읍 45
 
3.8%
군북면 36
 
3.0%
칠원읍 26
 
2.2%
칠서면 24
 
2.0%
함안면 23
 
1.9%
법수면 23
 
1.9%
대산면 20
 
1.7%
산인면 17
 
1.4%
Other values (410) 491
41.4%
2023-12-11T08:24:53.095117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1009
19.8%
군 276
 
5.4%
안 274
 
5.4%
함 269
 
5.3%
남 249
 
4.9%
도 247
 
4.8%
경 243
 
4.8%
상 241
 
4.7%
길 205
 
4.0%
1 203
 
4.0%
Other values (156) 1890
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3219
63.0%
Space Separator 1009
 
19.8%
Decimal Number 795
 
15.6%
Dash Punctuation 69
 
1.4%
Lowercase Letter 8
 
0.2%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 276
 
8.6%
안 274
 
8.5%
함 269
 
8.4%
남 249
 
7.7%
도 247
 
7.7%
경 243
 
7.5%
상 241
 
7.5%
길 205
 
6.4%
면 169
 
5.3%
읍 71
 
2.2%
Other values (137) 975
30.3%
Decimal Number
ValueCountFrequency (%)
1 203
25.5%
2 150
18.9%
3 83
10.4%
5 73
 
9.2%
4 72
 
9.1%
0 49
 
6.2%
6 44
 
5.5%
9 42
 
5.3%
8 40
 
5.0%
7 39
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
p 2
25.0%
t 2
25.0%
d 2
25.0%
Space Separator
ValueCountFrequency (%)
1009
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3219
63.0%
Common 1879
36.8%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 276
 
8.6%
안 274
 
8.5%
함 269
 
8.4%
남 249
 
7.7%
도 247
 
7.7%
경 243
 
7.5%
상 241
 
7.5%
길 205
 
6.4%
면 169
 
5.3%
읍 71
 
2.2%
Other values (137) 975
30.3%
Common
ValueCountFrequency (%)
1009
53.7%
1 203
 
10.8%
2 150
 
8.0%
3 83
 
4.4%
5 73
 
3.9%
4 72
 
3.8%
- 69
 
3.7%
0 49
 
2.6%
6 44
 
2.3%
9 42
 
2.2%
Other values (5) 85
 
4.5%
Latin
ValueCountFrequency (%)
a 2
25.0%
p 2
25.0%
t 2
25.0%
d 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3219
63.0%
ASCII 1887
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1009
53.5%
1 203
 
10.8%
2 150
 
7.9%
3 83
 
4.4%
5 73
 
3.9%
4 72
 
3.8%
- 69
 
3.7%
0 49
 
2.6%
6 44
 
2.3%
9 42
 
2.2%
Other values (9) 93
 
4.9%
Hangul
ValueCountFrequency (%)
군 276
 
8.6%
안 274
 
8.5%
함 269
 
8.4%
남 249
 
7.7%
도 247
 
7.7%
경 243
 
7.5%
상 241
 
7.5%
길 205
 
6.4%
면 169
 
5.3%
읍 71
 
2.2%
Other values (137) 975
30.3%

Interactions

2023-12-11T08:24:50.529970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:24:53.202638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.986
읍면0.9861.000
2023-12-11T08:24:53.291353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.790
읍면0.7901.000

Missing values

2023-12-11T08:24:50.650196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:24:50.735281image/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

연번읍면마을회관명주 소
01가야읍본동마을회관경상남도 함안군 가야읍 본동길57
12가야읍중동마을회관경상남도 함안군 가야읍 방목1길 22
23가야읍해동마을회관경상남도 함안군 가야읍 해동길22
34가야읍동동마을회관경상남도 함안군 가야읍 방목1길 32
45가야읍신동마을회관경상남도 함안군 가야읍 가야17길22
56가야읍아라동마을회관경상남도 함안군 가야읍 가야18길 22노블리안102동 103호
67가야읍남경아파트마을회관경상남도 함안군 가야읍 가야15길 26남경apt 부속 d동1층
78가야읍중앙1동마을회관경상남도 함안군 가야읍 중앙남1길12
89가야읍중앙2동 마을회관경상남도 함안군 가야읍 중앙본안길22
910가야읍상검동마을회관경상남도 함안군 가야읍 상검길24
연번읍면마을회관명주 소
230231여항면청암마을회관경상남도 함안군 여항면 청암길 34
231232여항면두곡마을회관경상남도 함안군 여항면 두곡길 30-35
232233여항면양촌마을회관경상남도 함안군 여항면 외암길211
233234여항면내곡마을회관경상남도 함안군 여항면 내곡안길 181
234235여항면봉곡마을희관경상남도 함안군 여항면 내곡2길 43
235236여항면감현마을회관경상남도 함안군 여항면 주동1길 69
236237여항면별천마을회관경상남도 함안군 여항면 주동3길 21-1
237238여항면좌촌마을회관경상남도 함안군 여항면 주서2길 115
238239여항면대촌마을회관경상남도 함안군 여항면 주서3길 16
239240여항면대산마을회관경상남도 함안군 여항면 여항로 291