Overview

Dataset statistics

Number of variables8
Number of observations245
Missing cells59
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory67.5 B

Variable types

Numeric3
Categorical1
Text3
DateTime1

Dataset

Description경상남도 의령군 13개 읍면에 소재하고 있는 마을회관명, 소재지의 주소, 건축연도, 규모, 전화번호 정보를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15032056

Alerts

데이터기준일 has constant value ""Constant
1 is highly overall correlated with 마을명High correlation
마을명 is highly overall correlated with 1High correlation
전화번호 has 59 (24.1%) missing valuesMissing
1 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:54:05.964088
Analysis finished2023-12-11 00:54:07.182782
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct245
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123
Minimum1
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:54:07.258831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.2
Q162
median123
Q3184
95-th percentile232.8
Maximum245
Range244
Interquartile range (IQR)122

Descriptive statistics

Standard deviation70.869599
Coefficient of variation (CV)0.5761756
Kurtosis-1.2
Mean123
Median Absolute Deviation (MAD)61
Skewness0
Sum30135
Variance5022.5
MonotonicityStrictly increasing
2023-12-11T09:54:07.401139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
155 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
Other values (235) 235
95.9%
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 (%)
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%

마을명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
의령읍
28 
부림면
27 
용덕면
22 
지정면
21 
유곡면
21 
Other values (8)
126 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의령읍 28
11.4%
부림면 27
11.0%
용덕면 22
9.0%
지정면 21
8.6%
유곡면 21
8.6%
화정면 18
7.3%
봉수면 17
6.9%
궁류면 17
6.9%
대의면 16
 
6.5%
정곡면 16
 
6.5%
Other values (3) 42
17.1%

Length

2023-12-11T09:54:07.545908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의령읍 28
11.4%
부림면 27
11.0%
용덕면 22
9.0%
지정면 21
8.6%
유곡면 21
8.6%
화정면 18
7.3%
봉수면 17
6.9%
궁류면 17
6.9%
대의면 16
 
6.5%
정곡면 16
 
6.5%
Other values (3) 42
17.1%

마을회관명
Text

Distinct221
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T09:54:07.801991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.2204082
Min length6

Characters and Unicode

Total characters1524
Distinct characters141
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)84.9%

Sample

1st row서신마을회관
2nd row서본마을회관
3rd row서부마을회관
4th row중본마을회관
5th row상동마을회관
ValueCountFrequency (%)
신기마을회관 6
 
2.4%
상촌마을회관 4
 
1.6%
두곡마을회관 3
 
1.2%
부곡마을회관 3
 
1.2%
신촌마을회관 3
 
1.2%
중촌마을회관 3
 
1.2%
평촌마을회관 3
 
1.2%
옥동마을회관 2
 
0.8%
방계마을회관 2
 
0.8%
백야마을회관 2
 
0.8%
Other values (211) 214
87.3%
2023-12-11T09:54:08.213673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 248
16.3%
회 245
16.1%
관 245
16.1%
을 244
16.0%
곡 38
 
2.5%
구 26
 
1.7%
신 23
 
1.5%
동 23
 
1.5%
상 22
 
1.4%
산 18
 
1.2%
Other values (131) 392
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1508
99.0%
Decimal Number 16
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 248
16.4%
회 245
16.2%
관 245
16.2%
을 244
16.2%
곡 38
 
2.5%
구 26
 
1.7%
신 23
 
1.5%
동 23
 
1.5%
상 22
 
1.5%
산 18
 
1.2%
Other values (128) 376
24.9%
Decimal Number
ValueCountFrequency (%)
1 8
50.0%
2 7
43.8%
3 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1508
99.0%
Common 16
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 248
16.4%
회 245
16.2%
관 245
16.2%
을 244
16.2%
곡 38
 
2.5%
구 26
 
1.7%
신 23
 
1.5%
동 23
 
1.5%
상 22
 
1.5%
산 18
 
1.2%
Other values (128) 376
24.9%
Common
ValueCountFrequency (%)
1 8
50.0%
2 7
43.8%
3 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1508
99.0%
ASCII 16
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 248
16.4%
회 245
16.2%
관 245
16.2%
을 244
16.2%
곡 38
 
2.5%
구 26
 
1.7%
신 23
 
1.5%
동 23
 
1.5%
상 22
 
1.5%
산 18
 
1.2%
Other values (128) 376
24.9%
ASCII
ValueCountFrequency (%)
1 8
50.0%
2 7
43.8%
3 1
 
6.2%

소재지
Text

UNIQUE 

Distinct245
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T09:54:08.573272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length16.473469
Min length13

Characters and Unicode

Total characters4036
Distinct characters108
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

Unique245 ?
Unique (%)100.0%

Sample

1st row의령군 의령읍 의병로9길 18
2nd row의령군 의령읍 의병로15길 19
3rd row의령군 의령읍 의병로17길 5
4th row의령군 의령읍 충익로 38-8
5th row의령군 의령읍 의병로19길 38-1
ValueCountFrequency (%)
의령군 245
25.0%
의령읍 28
 
2.9%
부림면 27
 
2.8%
용덕면 22
 
2.2%
유곡면 21
 
2.1%
지정면 21
 
2.1%
화정면 18
 
1.8%
궁류면 17
 
1.7%
봉수면 17
 
1.7%
대의면 16
 
1.6%
Other values (388) 547
55.9%
2023-12-11T09:54:08.973884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
738
18.3%
의 319
 
7.9%
령 273
 
6.8%
군 245
 
6.1%
면 217
 
5.4%
로 216
 
5.4%
1 198
 
4.9%
길 193
 
4.8%
2 123
 
3.0%
정 93
 
2.3%
Other values (98) 1421
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2397
59.4%
Decimal Number 818
 
20.3%
Space Separator 738
 
18.3%
Dash Punctuation 83
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 319
13.3%
령 273
 
11.4%
군 245
 
10.2%
면 217
 
9.1%
로 216
 
9.0%
길 193
 
8.1%
정 93
 
3.9%
곡 62
 
2.6%
덕 36
 
1.5%
용 35
 
1.5%
Other values (86) 708
29.5%
Decimal Number
ValueCountFrequency (%)
1 198
24.2%
2 123
15.0%
4 89
10.9%
3 78
 
9.5%
5 71
 
8.7%
6 67
 
8.2%
9 58
 
7.1%
7 53
 
6.5%
0 42
 
5.1%
8 39
 
4.8%
Space Separator
ValueCountFrequency (%)
738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2397
59.4%
Common 1639
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 319
13.3%
령 273
 
11.4%
군 245
 
10.2%
면 217
 
9.1%
로 216
 
9.0%
길 193
 
8.1%
정 93
 
3.9%
곡 62
 
2.6%
덕 36
 
1.5%
용 35
 
1.5%
Other values (86) 708
29.5%
Common
ValueCountFrequency (%)
738
45.0%
1 198
 
12.1%
2 123
 
7.5%
4 89
 
5.4%
- 83
 
5.1%
3 78
 
4.8%
5 71
 
4.3%
6 67
 
4.1%
9 58
 
3.5%
7 53
 
3.2%
Other values (2) 81
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2397
59.4%
ASCII 1639
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
738
45.0%
1 198
 
12.1%
2 123
 
7.5%
4 89
 
5.4%
- 83
 
5.1%
3 78
 
4.8%
5 71
 
4.3%
6 67
 
4.1%
9 58
 
3.5%
7 53
 
3.2%
Other values (2) 81
 
4.9%
Hangul
ValueCountFrequency (%)
의 319
13.3%
령 273
 
11.4%
군 245
 
10.2%
면 217
 
9.1%
로 216
 
9.0%
길 193
 
8.1%
정 93
 
3.9%
곡 62
 
2.6%
덕 36
 
1.5%
용 35
 
1.5%
Other values (86) 708
29.5%

건축연도
Real number (ℝ)

Distinct29
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.4857
Minimum1977
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:54:09.131278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1977
5-th percentile1993.2
Q11999
median2002
Q32005
95-th percentile2009
Maximum2015
Range38
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.0297079
Coefficient of variation (CV)0.003012616
Kurtosis4.8257176
Mean2001.4857
Median Absolute Deviation (MAD)3
Skewness-1.5767623
Sum490364
Variance36.357377
MonotonicityNot monotonic
2023-12-11T09:54:09.257351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2002 43
17.6%
2001 29
11.8%
2003 19
 
7.8%
1999 18
 
7.3%
2005 17
 
6.9%
1998 15
 
6.1%
2008 15
 
6.1%
2000 13
 
5.3%
1997 11
 
4.5%
2007 10
 
4.1%
Other values (19) 55
22.4%
ValueCountFrequency (%)
1977 1
 
0.4%
1978 1
 
0.4%
1979 2
0.8%
1980 2
0.8%
1981 1
 
0.4%
1982 1
 
0.4%
1984 3
1.2%
1992 1
 
0.4%
1993 1
 
0.4%
1994 4
1.6%
ValueCountFrequency (%)
2015 2
 
0.8%
2014 3
 
1.2%
2011 3
 
1.2%
2010 2
 
0.8%
2009 5
 
2.0%
2008 15
6.1%
2007 10
4.1%
2006 10
4.1%
2005 17
6.9%
2004 9
3.7%

규모(㎡)
Real number (ℝ)

Distinct212
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.316939
Minimum29.82
Maximum299.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:54:09.419976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.82
5-th percentile60.806
Q175.89
median87
Q3103.44
95-th percentile177.2
Maximum299.78
Range269.96
Interquartile range (IQR)27.55

Descriptive statistics

Standard deviation40.163668
Coefficient of variation (CV)0.40851219
Kurtosis6.7569256
Mean98.316939
Median Absolute Deviation (MAD)13
Skewness2.2988612
Sum24087.65
Variance1613.1202
MonotonicityNot monotonic
2023-12-11T09:54:09.556914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 4
 
1.6%
82.8 4
 
1.6%
99.0 3
 
1.2%
69.0 3
 
1.2%
88.58 3
 
1.2%
66.0 3
 
1.2%
90.0 2
 
0.8%
93.0 2
 
0.8%
93.88 2
 
0.8%
99.72 2
 
0.8%
Other values (202) 217
88.6%
ValueCountFrequency (%)
29.82 1
0.4%
36.55 1
0.4%
40.5 1
0.4%
44.1 1
0.4%
45.36 1
0.4%
47.42 1
0.4%
50.4 1
0.4%
53.0 1
0.4%
54.58 1
0.4%
56.43 1
0.4%
ValueCountFrequency (%)
299.78 1
0.4%
276.28 1
0.4%
260.0 1
0.4%
256.2 1
0.4%
251.2 1
0.4%
250.8 1
0.4%
230.73 1
0.4%
197.0 1
0.4%
194.29 1
0.4%
189.54 1
0.4%

전화번호
Text

MISSING 

Distinct182
Distinct (%)97.8%
Missing59
Missing (%)24.1%
Memory size2.0 KiB
2023-12-11T09:54:09.807353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2232
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

Unique178 ?
Unique (%)95.7%

Sample

1st row055-572-3351
2nd row055-573-2595
3rd row055-573-4747
4th row055-572-0388
5th row055-573-6881
ValueCountFrequency (%)
055-573-0212 2
 
1.1%
055-572-6006 2
 
1.1%
055-572-0306 2
 
1.1%
055-573-5622 2
 
1.1%
055-572-9811 1
 
0.5%
055-574-0133 1
 
0.5%
055-574-7855 1
 
0.5%
055-572-3351 1
 
0.5%
055-574-7866 1
 
0.5%
055-574-0332 1
 
0.5%
Other values (172) 172
92.5%
2023-12-11T09:54:10.171678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 647
29.0%
- 372
16.7%
0 286
12.8%
7 253
 
11.3%
2 141
 
6.3%
3 126
 
5.6%
4 115
 
5.2%
6 90
 
4.0%
1 82
 
3.7%
9 64
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1860
83.3%
Dash Punctuation 372
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 647
34.8%
0 286
15.4%
7 253
 
13.6%
2 141
 
7.6%
3 126
 
6.8%
4 115
 
6.2%
6 90
 
4.8%
1 82
 
4.4%
9 64
 
3.4%
8 56
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 647
29.0%
- 372
16.7%
0 286
12.8%
7 253
 
11.3%
2 141
 
6.3%
3 126
 
5.6%
4 115
 
5.2%
6 90
 
4.0%
1 82
 
3.7%
9 64
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 647
29.0%
- 372
16.7%
0 286
12.8%
7 253
 
11.3%
2 141
 
6.3%
3 126
 
5.6%
4 115
 
5.2%
6 90
 
4.0%
1 82
 
3.7%
9 64
 
2.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2019-08-14 00:00:00
Maximum2019-08-14 00:00:00
2023-12-11T09:54:10.294584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:10.397233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:54:06.730563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.236815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.483507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.812700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.312800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.558025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.899050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.409698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:06.639217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:54:10.475997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1마을명건축연도규모(㎡)
11.0000.9580.2950.414
마을명0.9581.0000.3570.350
건축연도0.2950.3571.0000.300
규모(㎡)0.4140.3500.3001.000
2023-12-11T09:54:10.597225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1건축연도규모(㎡)마을명
11.0000.133-0.2870.833
건축연도0.1331.000-0.1080.156
규모(㎡)-0.287-0.1081.0000.151
마을명0.8330.1560.1511.000

Missing values

2023-12-11T09:54:07.017154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:54:07.138001image/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

1마을명마을회관명소재지건축연도규모(㎡)전화번호데이터기준일
01의령읍서신마을회관의령군 의령읍 의병로9길 182005194.29055-572-33512019-08-14
12의령읍서본마을회관의령군 의령읍 의병로15길 192011115.7055-573-25952019-08-14
23의령읍서부마을회관의령군 의령읍 의병로17길 52009117.36055-573-47472019-08-14
34의령읍중본마을회관의령군 의령읍 충익로 38-81984197.0055-572-03882019-08-14
45의령읍상동마을회관의령군 의령읍 의병로19길 38-11982131.57055-573-68812019-08-14
56의령읍동본마을회관의령군 의령읍 의병로23길 6-201984105.28055-572-22422019-08-14
67의령읍가야마을회관의령군 의령읍 충익로 77-5197999.18055-572-35912019-08-14
78의령읍소입마을회관의령군 의령읍 충익로 1131984132.0055-572-85792019-08-14
89의령읍남산마을회관의령군 의령읍 의병로24동길 12-251994133.64055-572-44032019-08-14
910의령읍구룡마을회관의령군 의령읍 구룡로2길 161980116.2055-572-14682019-08-14
1마을명마을회관명소재지건축연도규모(㎡)전화번호데이터기준일
235236유곡면마두마을회관의령군 유곡면 청정로12남길 2200070.2055-572-05662019-08-14
236237유곡면판곡마을회관의령군 유곡면 청정로16길 70199888.58055-573-79192019-08-14
237238유곡면엄현마을회관의령군 유곡면 청정로15길 49200169.0055-573-03052019-08-14
238239유곡면옥동마을회관의령군 유곡면 청정로14길 1-4200169.0055-573-88182019-08-14
239240유곡면등대마을회관의령군 유곡면 청정로 2241199768.4055-573-59422019-08-14
240241유곡면마장마을회관의령군 유곡면 마장로5길 2-1200536.55055-573-69142019-08-14
241242유곡면당동마을회관의령군 유곡면 마장로3길 14199984.24055-573-46712019-08-14
242243유곡면덕천마을회관의령군 유곡면 청정로17길 47-4200059.36055-573-58052019-08-14
243244유곡면세간1구마을회관의령군 유곡면 세간2길 262002162.71055-574-01172019-08-14
244245유곡면세간마을회관의령군 유곡면 세간2길 23-82007115.76055-574-00752019-08-14