Overview

Dataset statistics

Number of variables7
Number of observations473
Missing cells9
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.5 KiB
Average record size in memory57.3 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description남해군 관내 노인복지시설(마을회관, 경로당) 현황에 대한 데이터로서 마을명, 주소 및 연락처 정보 등에 대한 항목을 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15013781

Alerts

시군 has constant value ""Constant
연번 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번High correlation
읍면 is highly overall correlated with 연번High correlation
전화번호 has 9 (1.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:18:36.725720
Analysis finished2023-12-10 23:18:37.253987
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct473
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237
Minimum1
Maximum473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T08:18:37.380097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.6
Q1119
median237
Q3355
95-th percentile449.4
Maximum473
Range472
Interquartile range (IQR)236

Descriptive statistics

Standard deviation136.6876
Coefficient of variation (CV)0.57674093
Kurtosis-1.2
Mean237
Median Absolute Deviation (MAD)118
Skewness0
Sum112101
Variance18683.5
MonotonicityStrictly increasing
2023-12-11T08:18:37.513030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
312 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
Other values (463) 463
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%
469 1
0.2%
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%
464 1
0.2%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
경로당
251 
마을회관
222 

Length

Max length4
Median length3
Mean length3.4693446
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경로당 251
53.1%
마을회관 222
46.9%

Length

2023-12-11T08:18:37.624517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:18:37.709382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 251
53.1%
마을회관 222
46.9%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
남해군
473 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남해군 473
100.0%

Length

2023-12-11T08:18:37.793029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:18:37.867913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남해군 473
100.0%

읍면
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
창선면
71 
남해읍
69 
고현면
53 
삼동면
48 
이동면
45 
Other values (7)
187 

Length

Max length5
Median length3
Mean length3.1268499
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
창선면 71
15.0%
남해읍 69
14.6%
고현면 53
11.2%
삼동면 48
10.1%
이동면 45
9.5%
설천면 39
8.2%
남 면 30
6.3%
미조면 27
 
5.7%
남면 26
 
5.5%
서 면 24
 
5.1%
Other values (2) 41
8.7%

Length

2023-12-11T08:18:37.966633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창선면 71
13.5%
남해읍 69
13.1%
면 54
10.2%
고현면 53
10.1%
삼동면 48
9.1%
이동면 45
8.5%
설천면 39
7.4%
남 30
5.7%
미조면 27
 
5.1%
남면 26
 
4.9%
Other values (3) 65
12.3%

시설명
Text

Distinct460
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-11T08:18:38.252939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.8435518
Min length2

Characters and Unicode

Total characters1818
Distinct characters161
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

Unique448 ?
Unique (%)94.7%

Sample

1st row북변1
2nd row북변2
3rd row유림1
4th row유림2
5th row현대
ValueCountFrequency (%)
신촌경로당 3
 
0.6%
노구경로당 2
 
0.4%
신흥경로당 2
 
0.4%
양지경로당 2
 
0.4%
대곡경로당 2
 
0.4%
도산경로당 2
 
0.4%
대곡 2
 
0.4%
남양경로당 2
 
0.4%
양지 2
 
0.4%
당항경로당 2
 
0.4%
Other values (450) 452
95.6%
2023-12-11T08:18:38.670156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 262
 
14.4%
경 251
 
13.8%
로 251
 
13.8%
천 31
 
1.7%
동 30
 
1.7%
포 28
 
1.5%
대 26
 
1.4%
산 26
 
1.4%
곡 26
 
1.4%
남 24
 
1.3%
Other values (151) 863
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1772
97.5%
Decimal Number 31
 
1.7%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 262
 
14.8%
경 251
 
14.2%
로 251
 
14.2%
천 31
 
1.7%
동 30
 
1.7%
포 28
 
1.6%
대 26
 
1.5%
산 26
 
1.5%
곡 26
 
1.5%
남 24
 
1.4%
Other values (145) 817
46.1%
Decimal Number
ValueCountFrequency (%)
2 15
48.4%
1 14
45.2%
3 2
 
6.5%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1772
97.5%
Common 46
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 262
 
14.8%
경 251
 
14.2%
로 251
 
14.2%
천 31
 
1.7%
동 30
 
1.7%
포 28
 
1.6%
대 26
 
1.5%
산 26
 
1.5%
곡 26
 
1.5%
남 24
 
1.4%
Other values (145) 817
46.1%
Common
ValueCountFrequency (%)
2 15
32.6%
1 14
30.4%
( 7
15.2%
) 7
15.2%
3 2
 
4.3%
1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1772
97.5%
ASCII 46
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 262
 
14.8%
경 251
 
14.2%
로 251
 
14.2%
천 31
 
1.7%
동 30
 
1.7%
포 28
 
1.6%
대 26
 
1.5%
산 26
 
1.5%
곡 26
 
1.5%
남 24
 
1.4%
Other values (145) 817
46.1%
ASCII
ValueCountFrequency (%)
2 15
32.6%
1 14
30.4%
( 7
15.2%
) 7
15.2%
3 2
 
4.3%
1
 
2.2%

주소
Text

Distinct472
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-11T08:18:38.982927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length12.454545
Min length5

Characters and Unicode

Total characters5891
Distinct characters93
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

Unique471 ?
Unique (%)99.6%

Sample

1st row남해읍 화전로78번가길 4
2nd row남해읍 화전로95번길 7
3rd row남해읍 화전로 136-5
4th row남해읍 화전로 119-29
5th row남해읍 화전로 154
ValueCountFrequency (%)
창선면 32
 
2.7%
남해읍 32
 
2.7%
남면 26
 
2.2%
고현면 24
 
2.0%
삼동면 23
 
1.9%
이동면 22
 
1.8%
서면 22
 
1.8%
남서대로 21
 
1.7%
남면로 20
 
1.7%
설천면 19
 
1.6%
Other values (471) 965
80.0%
2023-12-11T08:18:39.401623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
735
 
12.5%
로 469
 
8.0%
1 398
 
6.8%
2 319
 
5.4%
길 318
 
5.4%
번 314
 
5.3%
3 265
 
4.5%
면 220
 
3.7%
남 192
 
3.3%
8 186
 
3.2%
Other values (83) 2475
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2849
48.4%
Decimal Number 2161
36.7%
Space Separator 735
 
12.5%
Dash Punctuation 146
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 469
16.5%
길 318
 
11.2%
번 314
 
11.0%
면 220
 
7.7%
남 192
 
6.7%
대 130
 
4.6%
동 87
 
3.1%
서 85
 
3.0%
해 83
 
2.9%
선 74
 
2.6%
Other values (71) 877
30.8%
Decimal Number
ValueCountFrequency (%)
1 398
18.4%
2 319
14.8%
3 265
12.3%
8 186
8.6%
4 184
8.5%
6 172
8.0%
7 168
7.8%
9 164
7.6%
5 162
7.5%
0 143
 
6.6%
Space Separator
ValueCountFrequency (%)
735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3042
51.6%
Hangul 2849
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 469
16.5%
길 318
 
11.2%
번 314
 
11.0%
면 220
 
7.7%
남 192
 
6.7%
대 130
 
4.6%
동 87
 
3.1%
서 85
 
3.0%
해 83
 
2.9%
선 74
 
2.6%
Other values (71) 877
30.8%
Common
ValueCountFrequency (%)
735
24.2%
1 398
13.1%
2 319
10.5%
3 265
 
8.7%
8 186
 
6.1%
4 184
 
6.0%
6 172
 
5.7%
7 168
 
5.5%
9 164
 
5.4%
5 162
 
5.3%
Other values (2) 289
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3042
51.6%
Hangul 2849
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
735
24.2%
1 398
13.1%
2 319
10.5%
3 265
 
8.7%
8 186
 
6.1%
4 184
 
6.0%
6 172
 
5.7%
7 168
 
5.5%
9 164
 
5.4%
5 162
 
5.3%
Other values (2) 289
 
9.5%
Hangul
ValueCountFrequency (%)
로 469
16.5%
길 318
 
11.2%
번 314
 
11.0%
면 220
 
7.7%
남 192
 
6.7%
대 130
 
4.6%
동 87
 
3.1%
서 85
 
3.0%
해 83
 
2.9%
선 74
 
2.6%
Other values (71) 877
30.8%

전화번호
Text

MISSING 

Distinct325
Distinct (%)70.0%
Missing9
Missing (%)1.9%
Memory size3.8 KiB
2023-12-11T08:18:39.679664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters5568
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)40.7%

Sample

1st row055-863-0088
2nd row055-864-4460
3rd row055-864-2765
4th row055-864-5449
5th row055-864-5480
ValueCountFrequency (%)
055-867-4632 3
 
0.6%
055-864-5449 3
 
0.6%
055-867-2160 3
 
0.6%
055-862-4177 2
 
0.4%
055-862-0856 2
 
0.4%
055-862-0927 2
 
0.4%
055-862-8253 2
 
0.4%
055-862-1738 2
 
0.4%
055-862-1734 2
 
0.4%
055-863-0950 2
 
0.4%
Other values (315) 441
95.0%
2023-12-11T08:18:40.140637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1100
19.8%
- 928
16.7%
0 702
12.6%
8 652
11.7%
6 618
11.1%
2 418
 
7.5%
7 312
 
5.6%
4 302
 
5.4%
3 216
 
3.9%
1 196
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4640
83.3%
Dash Punctuation 928
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1100
23.7%
0 702
15.1%
8 652
14.1%
6 618
13.3%
2 418
 
9.0%
7 312
 
6.7%
4 302
 
6.5%
3 216
 
4.7%
1 196
 
4.2%
9 124
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 928
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5568
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1100
19.8%
- 928
16.7%
0 702
12.6%
8 652
11.7%
6 618
11.1%
2 418
 
7.5%
7 312
 
5.6%
4 302
 
5.4%
3 216
 
3.9%
1 196
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1100
19.8%
- 928
16.7%
0 702
12.6%
8 652
11.7%
6 618
11.1%
2 418
 
7.5%
7 312
 
5.6%
4 302
 
5.4%
3 216
 
3.9%
1 196
 
3.5%

Interactions

2023-12-11T08:18:36.958319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:18:40.256839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분읍면
연번1.0000.9970.900
구분0.9971.0000.569
읍면0.9000.5691.000
2023-12-11T08:18:40.340422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면구분
읍면1.0000.440
구분0.4401.000
2023-12-11T08:18:40.431491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분읍면
연번1.0000.9460.674
구분0.9461.0000.440
읍면0.6740.4401.000

Missing values

2023-12-11T08:18:37.048997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:18:37.148610image/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

연번구분시군읍면시설명주소전화번호
01마을회관남해군남해읍북변1남해읍 화전로78번가길 4055-863-0088
12마을회관남해군남해읍북변2남해읍 화전로95번길 7055-864-4460
23마을회관남해군남해읍유림1남해읍 화전로 136-5055-864-2765
34마을회관남해군남해읍유림2남해읍 화전로 119-29055-864-5449
45마을회관남해군남해읍현대남해읍 화전로 154055-864-5480
56마을회관남해군남해읍서변남해읍 망운로19번길 28-24055-864-3573
67마을회관남해군남해읍남산남해읍 망운로9번길 42055-864-4118
78마을회관남해군남해읍남변남해읍 화전로38번길 19055-864-3479
89마을회관남해군남해읍죽산남해읍 화전로38번다길 18-2055-864-2612
910마을회관남해군남해읍곡내남해읍 선소로16번길 53-7055-864-2435
연번구분시군읍면시설명주소전화번호
463464경로당남해군창선면송정경로당연곡로 102-7055-867-1408
464465경로당남해군창선면식포경로당흥선로410번길 33055-867-7494
465466경로당남해군창선면언포경로당흥선로579번길 37055-867-0210
466467경로당남해군창선면고두경로당흥선로 627055-867-0830
467468경로당남해군창선면가인경로당흥선로790번길 29-2055-867-7326
468469경로당남해군창선면천포경로당흥선로921번길 24-1055-867-2785
469470경로당남해군창선면적량경로당흥선로1202번길 1055-867-4422
470471경로당남해군창선면대곡경로당흥선로 1318055-867-0938
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472473경로당남해군창선면노전경로당흥선로199번길 9-2<NA>