Overview

Dataset statistics

Number of variables7
Number of observations479
Missing cells14
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.8 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 14 (2.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:18:31.111350
Analysis finished2023-12-10 23:18:31.752546
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct479
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240
Minimum1
Maximum479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T08:18:31.843781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.9
Q1120.5
median240
Q3359.5
95-th percentile455.1
Maximum479
Range478
Interquartile range (IQR)239

Descriptive statistics

Standard deviation138.41965
Coefficient of variation (CV)0.57674855
Kurtosis-1.2
Mean240
Median Absolute Deviation (MAD)120
Skewness0
Sum114960
Variance19160
MonotonicityStrictly increasing
2023-12-11T08:18:32.018977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
2 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
Other values (469) 469
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 (%)
479 1
0.2%
478 1
0.2%
477 1
0.2%
476 1
0.2%
475 1
0.2%
474 1
0.2%
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
경로당
257 
마을회관
222 

Length

Max length4
Median length3
Mean length3.4634656
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경로당 257
53.7%
마을회관 222
46.3%

Length

2023-12-11T08:18:32.214305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:18:32.309907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 257
53.7%
마을회관 222
46.3%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
남해군
479 

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 479
100.0%

Length

2023-12-11T08:18:32.406023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:18:32.492341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남해군 479
100.0%

읍면
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
창선면
71 
남해읍
69 
남면
56 
고현면
54 
삼동면
51 
Other values (5)
178 

Length

Max length3
Median length3
Mean length2.7849687
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
창선면 71
14.8%
남해읍 69
14.4%
남면 56
11.7%
고현면 54
11.3%
삼동면 51
10.6%
서면 47
9.8%
이동면 45
9.4%
설천면 40
8.4%
미조면 27
 
5.6%
상주면 19
 
4.0%

Length

2023-12-11T08:18:32.600361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:18:32.744423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창선면 71
14.8%
남해읍 69
14.4%
남면 56
11.7%
고현면 54
11.3%
삼동면 51
10.6%
서면 47
9.8%
이동면 45
9.4%
설천면 40
8.4%
미조면 27
 
5.6%
상주면 19
 
4.0%

시설명
Text

Distinct466
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T08:18:33.038271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.8997912
Min length2

Characters and Unicode

Total characters1868
Distinct characters166
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

Unique454 ?
Unique (%)94.8%

Sample

1st row북변1
2nd row북변2
3rd row유림1
4th row유림2
5th row현대
ValueCountFrequency (%)
신촌경로당 3
 
0.6%
대곡경로당 2
 
0.4%
남양경로당 2
 
0.4%
당항경로당 2
 
0.4%
송정경로당 2
 
0.4%
노구경로당 2
 
0.4%
신흥경로당 2
 
0.4%
이어 2
 
0.4%
도산경로당 2
 
0.4%
양지경로당 2
 
0.4%
Other values (456) 459
95.6%
2023-12-11T08:18:33.758159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 268
 
14.3%
경 257
 
13.8%
로 257
 
13.8%
천 31
 
1.7%
동 30
 
1.6%
포 29
 
1.6%
곡 27
 
1.4%
산 26
 
1.4%
대 26
 
1.4%
금 25
 
1.3%
Other values (156) 892
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1818
97.3%
Decimal Number 34
 
1.8%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 268
 
14.7%
경 257
 
14.1%
로 257
 
14.1%
천 31
 
1.7%
동 30
 
1.7%
포 29
 
1.6%
곡 27
 
1.5%
산 26
 
1.4%
대 26
 
1.4%
금 25
 
1.4%
Other values (150) 842
46.3%
Decimal Number
ValueCountFrequency (%)
2 17
50.0%
1 15
44.1%
3 2
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1818
97.3%
Common 50
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 268
 
14.7%
경 257
 
14.1%
로 257
 
14.1%
천 31
 
1.7%
동 30
 
1.7%
포 29
 
1.6%
곡 27
 
1.5%
산 26
 
1.4%
대 26
 
1.4%
금 25
 
1.4%
Other values (150) 842
46.3%
Common
ValueCountFrequency (%)
2 17
34.0%
1 15
30.0%
) 7
14.0%
( 7
14.0%
3 2
 
4.0%
2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1818
97.3%
ASCII 50
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 268
 
14.7%
경 257
 
14.1%
로 257
 
14.1%
천 31
 
1.7%
동 30
 
1.7%
포 29
 
1.6%
곡 27
 
1.5%
산 26
 
1.4%
대 26
 
1.4%
금 25
 
1.4%
Other values (150) 842
46.3%
ASCII
ValueCountFrequency (%)
2 17
34.0%
1 15
30.0%
) 7
14.0%
( 7
14.0%
3 2
 
4.0%
2
 
4.0%

주소
Text

Distinct477
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T08:18:34.015020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length18.787056
Min length8

Characters and Unicode

Total characters8999
Distinct characters96
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

Unique475 ?
Unique (%)99.2%

Sample

1st row경상남도 남해군 남해읍 화전로78번가길 4
2nd row경상남도 남해군 남해읍 화전로95번길 7
3rd row경상남도 남해군 남해읍 화전로 136-5
4th row경상남도 남해군 남해읍 화전로 119-29
5th row경상남도 남해군 남해읍 화전로 154
ValueCountFrequency (%)
경상남도 231
 
12.0%
남해군 230
 
11.9%
창선면 90
 
4.7%
남해읍 70
 
3.6%
고현면 54
 
2.8%
삼동면 51
 
2.6%
남면 51
 
2.6%
서면 47
 
2.4%
이동면 45
 
2.3%
미조면 27
 
1.4%
Other values (482) 1036
53.6%
2023-12-11T08:18:34.420100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1456
 
16.2%
남 721
 
8.0%
로 474
 
5.3%
면 436
 
4.8%
1 402
 
4.5%
해 353
 
3.9%
2 324
 
3.6%
길 323
 
3.6%
번 317
 
3.5%
3 265
 
2.9%
Other values (86) 3928
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5204
57.8%
Decimal Number 2189
24.3%
Space Separator 1456
 
16.2%
Dash Punctuation 150
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 721
13.9%
로 474
 
9.1%
면 436
 
8.4%
해 353
 
6.8%
길 323
 
6.2%
번 317
 
6.1%
상 254
 
4.9%
도 235
 
4.5%
경 231
 
4.4%
군 231
 
4.4%
Other values (74) 1629
31.3%
Decimal Number
ValueCountFrequency (%)
1 402
18.4%
2 324
14.8%
3 265
12.1%
4 187
8.5%
8 186
8.5%
6 177
8.1%
7 171
7.8%
5 168
7.7%
9 166
7.6%
0 143
 
6.5%
Space Separator
ValueCountFrequency (%)
1456
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5204
57.8%
Common 3795
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 721
13.9%
로 474
 
9.1%
면 436
 
8.4%
해 353
 
6.8%
길 323
 
6.2%
번 317
 
6.1%
상 254
 
4.9%
도 235
 
4.5%
경 231
 
4.4%
군 231
 
4.4%
Other values (74) 1629
31.3%
Common
ValueCountFrequency (%)
1456
38.4%
1 402
 
10.6%
2 324
 
8.5%
3 265
 
7.0%
4 187
 
4.9%
8 186
 
4.9%
6 177
 
4.7%
7 171
 
4.5%
5 168
 
4.4%
9 166
 
4.4%
Other values (2) 293
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5204
57.8%
ASCII 3795
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1456
38.4%
1 402
 
10.6%
2 324
 
8.5%
3 265
 
7.0%
4 187
 
4.9%
8 186
 
4.9%
6 177
 
4.7%
7 171
 
4.5%
5 168
 
4.4%
9 166
 
4.4%
Other values (2) 293
 
7.7%
Hangul
ValueCountFrequency (%)
남 721
13.9%
로 474
 
9.1%
면 436
 
8.4%
해 353
 
6.8%
길 323
 
6.2%
번 317
 
6.1%
상 254
 
4.9%
도 235
 
4.5%
경 231
 
4.4%
군 231
 
4.4%
Other values (74) 1629
31.3%

전화번호
Text

MISSING 

Distinct321
Distinct (%)69.0%
Missing14
Missing (%)2.9%
Memory size3.9 KiB
2023-12-11T08:18:34.657524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters5580
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

Unique179 ?
Unique (%)38.5%

Sample

1st row055-863-0088
2nd row055-864-4460
3rd row055-864-2765
4th row055-864-5449
5th row055-864-5480
ValueCountFrequency (%)
055-864-5449 3
 
0.6%
055-867-2160 3
 
0.6%
055-862-1756 2
 
0.4%
055-862-0926 2
 
0.4%
055-862-3282 2
 
0.4%
055-862-1749 2
 
0.4%
055-862-4177 2
 
0.4%
055-863-0950 2
 
0.4%
055-862-1734 2
 
0.4%
055-862-0860 2
 
0.4%
Other values (311) 443
95.3%
2023-12-11T08:18:35.064292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1099
19.7%
- 930
16.7%
0 702
12.6%
8 654
11.7%
6 617
11.1%
2 420
 
7.5%
7 310
 
5.6%
4 302
 
5.4%
3 218
 
3.9%
1 199
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4650
83.3%
Dash Punctuation 930
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1099
23.6%
0 702
15.1%
8 654
14.1%
6 617
13.3%
2 420
 
9.0%
7 310
 
6.7%
4 302
 
6.5%
3 218
 
4.7%
1 199
 
4.3%
9 129
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5580
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1099
19.7%
- 930
16.7%
0 702
12.6%
8 654
11.7%
6 617
11.1%
2 420
 
7.5%
7 310
 
5.6%
4 302
 
5.4%
3 218
 
3.9%
1 199
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1099
19.7%
- 930
16.7%
0 702
12.6%
8 654
11.7%
6 617
11.1%
2 420
 
7.5%
7 310
 
5.6%
4 302
 
5.4%
3 218
 
3.9%
1 199
 
3.6%

Interactions

2023-12-11T08:18:31.399293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:18:35.172728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분읍면
연번1.0000.9970.942
구분0.9971.0000.000
읍면0.9420.0001.000
2023-12-11T08:18:35.250052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면구분
읍면1.0000.000
구분0.0001.000
2023-12-11T08:18:35.337573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분읍면
연번1.0000.9430.596
구분0.9431.0000.000
읍면0.5960.0001.000

Missing values

2023-12-11T08:18:31.550355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:18:31.701560image/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
01마을회관남해군남해읍북변1경상남도 남해군 남해읍 화전로78번가길 4055-863-0088
12마을회관남해군남해읍북변2경상남도 남해군 남해읍 화전로95번길 7055-864-4460
23마을회관남해군남해읍유림1경상남도 남해군 남해읍 화전로 136-5055-864-2765
34마을회관남해군남해읍유림2경상남도 남해군 남해읍 화전로 119-29055-864-5449
45마을회관남해군남해읍현대경상남도 남해군 남해읍 화전로 154055-864-5480
56마을회관남해군남해읍서변경상남도 남해군 남해읍 망운로19번길 28-24055-864-3573
67마을회관남해군남해읍남산경상남도 남해군 남해읍 망운로9번길 42055-864-4118
78마을회관남해군남해읍남변경상남도 남해군 남해읍 화전로38번길 19055-864-3479
89마을회관남해군남해읍죽산경상남도 남해군 남해읍 화전로38번다길 18-2055-864-2612
910마을회관남해군남해읍곡내경상남도 남해군 남해읍 선소로16번길 53-7055-864-2435
연번구분시군읍면시설명주소전화번호
469470경로당남해군창선면송정경로당창선면 연곡로 102-7055-867-1408
470471경로당남해군창선면식포경로당창선면 흥선로410번길 33055-867-7494
471472경로당남해군창선면언포경로당창선면 흥선로579번길 37055-867-0210
472473경로당남해군창선면고두경로당창선면 흥선로 627055-867-0830
473474경로당남해군창선면가인경로당창선면 흥선로790번길 29-2055-867-7326
474475경로당남해군창선면천포경로당창선면 흥선로921번길 24-1055-867-2785
475476경로당남해군창선면적량경로당창선면 흥선로1202번길 1055-867-4422
476477경로당남해군창선면대곡경로당창선면 흥선로 1318055-867-0938
477478경로당남해군창선면장포경로당창선면 흥선로 1496055-867-1579
478479경로당남해군창선면노전경로당창선면 흥선로199번길 9-2<NA>