Overview

Dataset statistics

Number of variables4
Number of observations329
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description경상남도 함안군 소재 경로당에 대한 데이터로 경상남도 함안군 노인여가복지시설(경로당)의 개소수, 행정구역, 명칭, 도로명주소를 안내합니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15007639

Alerts

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

Reproduction

Analysis started2023-12-11 00:40:15.757031
Analysis finished2023-12-11 00:40:16.235617
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct329
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165
Minimum1
Maximum329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T09:40:16.301283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.4
Q183
median165
Q3247
95-th percentile312.6
Maximum329
Range328
Interquartile range (IQR)164

Descriptive statistics

Standard deviation95.118347
Coefficient of variation (CV)0.57647483
Kurtosis-1.2
Mean165
Median Absolute Deviation (MAD)82
Skewness0
Sum54285
Variance9047.5
MonotonicityStrictly increasing
2023-12-11T09:40:16.690820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
227 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
Other values (319) 319
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%

읍면
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
가야읍
57 
군북면
47 
칠원읍
42 
대산면
37 
법수면
32 
Other values (5)
114 

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 57
17.3%
군북면 47
14.3%
칠원읍 42
12.8%
대산면 37
11.2%
법수면 32
9.7%
칠서면 30
9.1%
함안면 26
7.9%
산인면 25
7.6%
칠북면 22
 
6.7%
여항면 11
 
3.3%

Length

2023-12-11T09:40:16.819662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:40:16.954705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가야읍 57
17.3%
군북면 47
14.3%
칠원읍 42
12.8%
대산면 37
11.2%
법수면 32
9.7%
칠서면 30
9.1%
함안면 26
7.9%
산인면 25
7.6%
칠북면 22
 
6.7%
여항면 11
 
3.3%

경로당명
Text

Distinct315
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T09:40:17.258948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length5.775076
Min length5

Characters and Unicode

Total characters1900
Distinct characters207
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)92.1%

Sample

1st row가야동경로당
2nd row가야부녀경로당
3rd row가야읍경로당
4th row계티경로당
5th row관동경로당
ValueCountFrequency (%)
동촌경로당 3
 
0.9%
서촌경로당 3
 
0.9%
대사경로당 2
 
0.6%
경로당 2
 
0.6%
장수사랑방 2
 
0.6%
오곡경로당 2
 
0.6%
중촌경로당 2
 
0.6%
신촌경로당 2
 
0.6%
사촌경로당 2
 
0.6%
어연경로당 2
 
0.6%
Other values (313) 317
93.5%
2023-12-11T09:40:17.665717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 318
16.7%
경 317
16.7%
로 317
16.7%
동 68
 
3.6%
산 34
 
1.8%
촌 29
 
1.5%
곡 28
 
1.5%
사 24
 
1.3%
장 22
 
1.2%
수 21
 
1.1%
Other values (197) 722
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1882
99.1%
Space Separator 10
 
0.5%
Decimal Number 6
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 318
16.9%
경 317
16.8%
로 317
16.8%
동 68
 
3.6%
산 34
 
1.8%
촌 29
 
1.5%
곡 28
 
1.5%
사 24
 
1.3%
장 22
 
1.2%
수 21
 
1.1%
Other values (192) 704
37.4%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 3
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1882
99.1%
Common 18
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 318
16.9%
경 317
16.8%
로 317
16.8%
동 68
 
3.6%
산 34
 
1.8%
촌 29
 
1.5%
곡 28
 
1.5%
사 24
 
1.3%
장 22
 
1.2%
수 21
 
1.1%
Other values (192) 704
37.4%
Common
ValueCountFrequency (%)
10
55.6%
2 3
 
16.7%
1 3
 
16.7%
( 1
 
5.6%
) 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1882
99.1%
ASCII 18
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 318
16.9%
경 317
16.8%
로 317
16.8%
동 68
 
3.6%
산 34
 
1.8%
촌 29
 
1.5%
곡 28
 
1.5%
사 24
 
1.3%
장 22
 
1.2%
수 21
 
1.1%
Other values (192) 704
37.4%
ASCII
ValueCountFrequency (%)
10
55.6%
2 3
 
16.7%
1 3
 
16.7%
( 1
 
5.6%
) 1
 
5.6%

주 소
Text

Distinct328
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T09:40:18.080760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length21.382979
Min length18

Characters and Unicode

Total characters7035
Distinct characters177
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique327 ?
Unique (%)99.4%

Sample

1st row경상남도 함안군 가야읍 왕궁길 170-11
2nd row경상남도 함안군 가야읍 방목1길 13-7
3rd row경상남도 함안군 가야읍 방목1길 13-9
4th row경상남도 함안군 가야읍 함마대로 1227-15
5th row경상남도 함안군 가야읍 관동길 29-1
ValueCountFrequency (%)
경상남도 329
19.6%
함안군 329
19.6%
가야읍 57
 
3.4%
군북면 47
 
2.8%
칠원읍 40
 
2.4%
대산면 37
 
2.2%
법수면 32
 
1.9%
칠서면 30
 
1.8%
함안면 26
 
1.6%
산인면 25
 
1.5%
Other values (581) 724
43.2%
2023-12-11T09:40:18.566452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1347
19.1%
군 376
 
5.3%
안 368
 
5.2%
함 361
 
5.1%
남 340
 
4.8%
도 337
 
4.8%
경 332
 
4.7%
상 331
 
4.7%
1 274
 
3.9%
면 233
 
3.3%
Other values (167) 2736
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4392
62.4%
Space Separator 1347
 
19.1%
Decimal Number 1147
 
16.3%
Dash Punctuation 120
 
1.7%
Close Punctuation 14
 
0.2%
Open Punctuation 14
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 376
 
8.6%
안 368
 
8.4%
함 361
 
8.2%
남 340
 
7.7%
도 337
 
7.7%
경 332
 
7.6%
상 331
 
7.5%
면 233
 
5.3%
길 224
 
5.1%
칠 100
 
2.3%
Other values (152) 1390
31.6%
Decimal Number
ValueCountFrequency (%)
1 274
23.9%
2 210
18.3%
3 131
11.4%
4 111
9.7%
5 85
 
7.4%
8 76
 
6.6%
7 69
 
6.0%
6 66
 
5.8%
0 66
 
5.8%
9 59
 
5.1%
Space Separator
ValueCountFrequency (%)
1347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4392
62.4%
Common 2643
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 376
 
8.6%
안 368
 
8.4%
함 361
 
8.2%
남 340
 
7.7%
도 337
 
7.7%
경 332
 
7.6%
상 331
 
7.5%
면 233
 
5.3%
길 224
 
5.1%
칠 100
 
2.3%
Other values (152) 1390
31.6%
Common
ValueCountFrequency (%)
1347
51.0%
1 274
 
10.4%
2 210
 
7.9%
3 131
 
5.0%
- 120
 
4.5%
4 111
 
4.2%
5 85
 
3.2%
8 76
 
2.9%
7 69
 
2.6%
6 66
 
2.5%
Other values (5) 154
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4392
62.4%
ASCII 2643
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1347
51.0%
1 274
 
10.4%
2 210
 
7.9%
3 131
 
5.0%
- 120
 
4.5%
4 111
 
4.2%
5 85
 
3.2%
8 76
 
2.9%
7 69
 
2.6%
6 66
 
2.5%
Other values (5) 154
 
5.8%
Hangul
ValueCountFrequency (%)
군 376
 
8.6%
안 368
 
8.4%
함 361
 
8.2%
남 340
 
7.7%
도 337
 
7.7%
경 332
 
7.6%
상 331
 
7.5%
면 233
 
5.3%
길 224
 
5.1%
칠 100
 
2.3%
Other values (152) 1390
31.6%

Interactions

2023-12-11T09:40:16.000728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:40:18.664087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.986
읍면0.9861.000
2023-12-11T09:40:18.732960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.792
읍면0.7921.000

Missing values

2023-12-11T09:40:16.112821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:40:16.201238image/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

연번읍면경로당명주 소
01가야읍가야동경로당경상남도 함안군 가야읍 왕궁길 170-11
12가야읍가야부녀경로당경상남도 함안군 가야읍 방목1길 13-7
23가야읍가야읍경로당경상남도 함안군 가야읍 방목1길 13-9
34가야읍계티경로당경상남도 함안군 가야읍 함마대로 1227-15
45가야읍관동경로당경상남도 함안군 가야읍 관동길 29-1
56가야읍광복동경로당경상남도 함안군 가야읍 가야로 144
67가야읍괘안경로당경상남도 함안군 가야읍 신암1길 79
78가야읍남경아파트경로당경상남도 함안군 가야읍 말산리 33-3
89가야읍남문경로당경상남도 함안군 가야읍 남문길 6-23
910가야읍남선아파트경로당경상남도 함안군 가야읍 도항리 212-2
연번읍면경로당명주 소
319320여항면내곡경로당경상남도 함안군 여항면 내곡안길 181
320321여항면대산경로당경상남도 함안군 여항면 여항로 291
321322여항면대촌경로당경상남도 함안군 여항면 주서3길 16
322323여항면두곡경로당경상남도 함안군 여항면 두곡길 30-35
323324여항면별천경로당경상남도 함안군 여항면 주동3길 21-1
324325여항면봉곡경로당경상남도 함안군 여항면 내곡2길 43
325326여항면상별래경로당경상남도 함안군 여항면 주동2길 224
326327여항면양촌경로당경상남도 함안군 여항면 외암리 169-1
327328여항면좌촌경로당경상남도 함안군 여항면 주서2길 115
328329여항면청암경로당경상남도 함안군 여항면 청암길 34