Overview

Dataset statistics

Number of variables8
Number of observations244
Missing cells59
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.1 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
순번 is highly overall correlated with 마을명High correlation
마을명 is highly overall correlated with 순번High correlation
전화번호 has 59 (24.2%) missing valuesMissing
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:54:11.815567
Analysis finished2023-12-11 00:54:13.243400
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct244
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.21311
Minimum1
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:54:13.314780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.15
Q161.75
median123.5
Q3184.25
95-th percentile232.85
Maximum245
Range244
Interquartile range (IQR)122.5

Descriptive statistics

Standard deviation70.93656
Coefficient of variation (CV)0.57572248
Kurtosis-1.2005464
Mean123.21311
Median Absolute Deviation (MAD)61.5
Skewness-0.0074529805
Sum30064
Variance5031.9955
MonotonicityStrictly increasing
2023-12-11T09:54:13.447690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
156 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%
165 1
 
0.4%
Other values (234) 234
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)
125 

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
11.5%
부림면 27
11.1%
용덕면 22
9.0%
지정면 21
8.6%
유곡면 21
8.6%
화정면 18
7.4%
봉수면 17
7.0%
궁류면 17
7.0%
정곡면 16
 
6.6%
칠곡면 15
 
6.1%
Other values (3) 42
17.2%

Length

2023-12-11T09:54:13.558407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의령읍 28
11.5%
부림면 27
11.1%
용덕면 22
9.0%
지정면 21
8.6%
유곡면 21
8.6%
화정면 18
7.4%
봉수면 17
7.0%
궁류면 17
7.0%
정곡면 16
 
6.6%
칠곡면 15
 
6.1%
Other values (3) 42
17.2%

마을회관명
Text

Distinct221
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T09:54:13.756939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.2213115
Min length6

Characters and Unicode

Total characters1518
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 (%)85.2%

Sample

1st row서신마을회관
2nd row서본마을회관
3rd row서부마을회관
4th row중본마을회관
5th row상동마을회관
ValueCountFrequency (%)
신기마을회관 6
 
2.5%
상촌마을회관 4
 
1.6%
두곡마을회관 3
 
1.2%
신촌마을회관 3
 
1.2%
중촌마을회관 3
 
1.2%
평촌마을회관 3
 
1.2%
예동마을회관 2
 
0.8%
방계마을회관 2
 
0.8%
부곡마을회관 2
 
0.8%
백야마을회관 2
 
0.8%
Other values (211) 214
87.7%
2023-12-11T09:54:14.101073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 247
16.3%
회 244
16.1%
관 244
16.1%
을 243
16.0%
곡 37
 
2.4%
구 26
 
1.7%
신 23
 
1.5%
동 23
 
1.5%
상 22
 
1.4%
산 18
 
1.2%
Other values (131) 391
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1502
98.9%
Decimal Number 16
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 247
16.4%
회 244
16.2%
관 244
16.2%
을 243
16.2%
곡 37
 
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) 375
25.0%
Decimal Number
ValueCountFrequency (%)
1 8
50.0%
2 7
43.8%
3 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1502
98.9%
Common 16
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 247
16.4%
회 244
16.2%
관 244
16.2%
을 243
16.2%
곡 37
 
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) 375
25.0%
Common
ValueCountFrequency (%)
1 8
50.0%
2 7
43.8%
3 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1502
98.9%
ASCII 16
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 247
16.4%
회 244
16.2%
관 244
16.2%
을 243
16.2%
곡 37
 
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) 375
25.0%
ASCII
ValueCountFrequency (%)
1 8
50.0%
2 7
43.8%
3 1
 
6.2%

소재지
Text

UNIQUE 

Distinct244
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T09:54:14.400574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.454918
Min length18

Characters and Unicode

Total characters5235
Distinct characters109
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

Unique244 ?
Unique (%)100.0%

Sample

1st row경상남도 의령군 의령읍 의병로9길 18
2nd row경상남도 의령군 의령읍 의병로15길 19
3rd row경상남도 의령군 의령읍 의병로17길 5
4th row경상남도 의령군 의령읍 충익로 38-8
5th row경상남도 의령군 의령읍 의병로19길 38-1
ValueCountFrequency (%)
의령군 244
20.0%
경상남도 243
20.0%
의령읍 28
 
2.3%
부림면 27
 
2.2%
용덕면 22
 
1.8%
지정면 21
 
1.7%
유곡면 21
 
1.7%
화정면 18
 
1.5%
궁류면 17
 
1.4%
봉수면 17
 
1.4%
Other values (387) 560
46.0%
2023-12-11T09:54:14.777347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
978
18.7%
의 317
 
6.1%
령 272
 
5.2%
남 255
 
4.9%
상 247
 
4.7%
경 244
 
4.7%
군 244
 
4.7%
도 243
 
4.6%
면 216
 
4.1%
로 215
 
4.1%
Other values (99) 2004
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3359
64.2%
Space Separator 978
 
18.7%
Decimal Number 815
 
15.6%
Dash Punctuation 83
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 317
 
9.4%
령 272
 
8.1%
남 255
 
7.6%
상 247
 
7.4%
경 244
 
7.3%
군 244
 
7.3%
도 243
 
7.2%
면 216
 
6.4%
로 215
 
6.4%
길 192
 
5.7%
Other values (87) 914
27.2%
Decimal Number
ValueCountFrequency (%)
1 197
24.2%
2 123
15.1%
4 89
10.9%
3 78
 
9.6%
5 70
 
8.6%
6 67
 
8.2%
9 58
 
7.1%
7 52
 
6.4%
0 42
 
5.2%
8 39
 
4.8%
Space Separator
ValueCountFrequency (%)
978
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3359
64.2%
Common 1876
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 317
 
9.4%
령 272
 
8.1%
남 255
 
7.6%
상 247
 
7.4%
경 244
 
7.3%
군 244
 
7.3%
도 243
 
7.2%
면 216
 
6.4%
로 215
 
6.4%
길 192
 
5.7%
Other values (87) 914
27.2%
Common
ValueCountFrequency (%)
978
52.1%
1 197
 
10.5%
2 123
 
6.6%
4 89
 
4.7%
- 83
 
4.4%
3 78
 
4.2%
5 70
 
3.7%
6 67
 
3.6%
9 58
 
3.1%
7 52
 
2.8%
Other values (2) 81
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3359
64.2%
ASCII 1876
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
978
52.1%
1 197
 
10.5%
2 123
 
6.6%
4 89
 
4.7%
- 83
 
4.4%
3 78
 
4.2%
5 70
 
3.7%
6 67
 
3.6%
9 58
 
3.1%
7 52
 
2.8%
Other values (2) 81
 
4.3%
Hangul
ValueCountFrequency (%)
의 317
 
9.4%
령 272
 
8.1%
남 255
 
7.6%
상 247
 
7.4%
경 244
 
7.3%
군 244
 
7.3%
도 243
 
7.2%
면 216
 
6.4%
로 215
 
6.4%
길 192
 
5.7%
Other values (87) 914
27.2%

건축연도
Real number (ℝ)

Distinct29
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.5
Minimum1977
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:54:14.897624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1977
5-th percentile1993.15
Q11999
median2002
Q32005
95-th percentile2009
Maximum2015
Range38
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.0379459
Coefficient of variation (CV)0.0030167104
Kurtosis4.830444
Mean2001.5
Median Absolute Deviation (MAD)3
Skewness-1.5831909
Sum488366
Variance36.45679
MonotonicityNot monotonic
2023-12-11T09:54:15.012856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2002 43
17.6%
2001 29
11.9%
2003 19
 
7.8%
1999 18
 
7.4%
2005 17
 
7.0%
2008 15
 
6.1%
1998 14
 
5.7%
2000 13
 
5.3%
1997 11
 
4.5%
2007 10
 
4.1%
Other values (19) 55
22.5%
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
7.0%
2004 9
3.7%

규모(㎡)
Real number (ℝ)

Distinct211
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.293852
Minimum29.82
Maximum299.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:54:15.131636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.82
5-th percentile60.8045
Q175.8775
median86.7
Q3103.32
95-th percentile177.275
Maximum299.78
Range269.96
Interquartile range (IQR)27.4425

Descriptive statistics

Standard deviation40.244595
Coefficient of variation (CV)0.40943146
Kurtosis6.7245502
Mean98.293852
Median Absolute Deviation (MAD)13.3
Skewness2.2962254
Sum23983.7
Variance1619.6274
MonotonicityNot monotonic
2023-12-11T09:54:15.253737image/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%
78.0 2
 
0.8%
93.88 2
 
0.8%
99.72 2
 
0.8%
Other values (201) 216
88.5%
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 

Distinct181
Distinct (%)97.8%
Missing59
Missing (%)24.2%
Memory size2.0 KiB
2023-12-11T09:54:15.469796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2220
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

Unique177 ?
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%
055-573-5622 2
 
1.1%
055-572-6006 2
 
1.1%
055-572-0306 2
 
1.1%
055-574-7855 1
 
0.5%
055-574-1766 1
 
0.5%
055-574-4355 1
 
0.5%
055-572-3351 1
 
0.5%
055-574-0332 1
 
0.5%
055-574-5569 1
 
0.5%
Other values (171) 171
92.4%
2023-12-11T09:54:15.871394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 642
28.9%
- 370
16.7%
0 285
12.8%
7 252
 
11.4%
2 140
 
6.3%
3 126
 
5.7%
4 115
 
5.2%
6 90
 
4.1%
1 81
 
3.6%
9 63
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1850
83.3%
Dash Punctuation 370
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 642
34.7%
0 285
15.4%
7 252
 
13.6%
2 140
 
7.6%
3 126
 
6.8%
4 115
 
6.2%
6 90
 
4.9%
1 81
 
4.4%
9 63
 
3.4%
8 56
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 370
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 642
28.9%
- 370
16.7%
0 285
12.8%
7 252
 
11.4%
2 140
 
6.3%
3 126
 
5.7%
4 115
 
5.2%
6 90
 
4.1%
1 81
 
3.6%
9 63
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 642
28.9%
- 370
16.7%
0 285
12.8%
7 252
 
11.4%
2 140
 
6.3%
3 126
 
5.7%
4 115
 
5.2%
6 90
 
4.1%
1 81
 
3.6%
9 63
 
2.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2020-12-11 00:00:00
Maximum2020-12-11 00:00:00
2023-12-11T09:54:15.979538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:16.067816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:54:12.566379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.085933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.332729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.636662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.176184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.408746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.738284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.263953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:54:12.490209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:54:16.140879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번마을명건축연도규모(㎡)
순번1.0000.9580.2930.412
마을명0.9581.0000.3500.351
건축연도0.2930.3501.0000.299
규모(㎡)0.4120.3510.2991.000
2023-12-11T09:54:16.226366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번건축연도규모(㎡)마을명
순번1.0000.130-0.2850.833
건축연도0.1301.000-0.1030.153
규모(㎡)-0.285-0.1031.0000.151
마을명0.8330.1530.1511.000

Missing values

2023-12-11T09:54:13.098738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:54:13.201619image/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

순번마을명마을회관명소재지건축연도규모(㎡)전화번호데이터기준일
01의령읍서신마을회관경상남도 의령군 의령읍 의병로9길 182005194.29055-572-33512020-12-11
12의령읍서본마을회관경상남도 의령군 의령읍 의병로15길 192011115.7055-573-25952020-12-11
23의령읍서부마을회관경상남도 의령군 의령읍 의병로17길 52009117.36055-573-47472020-12-11
34의령읍중본마을회관경상남도 의령군 의령읍 충익로 38-81984197.0055-572-03882020-12-11
45의령읍상동마을회관경상남도 의령군 의령읍 의병로19길 38-11982131.57055-573-68812020-12-11
56의령읍동본마을회관경상남도 의령군 의령읍 의병로23길 6-201984105.28055-572-22422020-12-11
67의령읍가야마을회관경상남도 의령군 의령읍 충익로 77-5197999.18055-572-35912020-12-11
78의령읍소입마을회관경상남도 의령군 의령읍 충익로 1131984132.0055-572-85792020-12-11
89의령읍남산마을회관경상남도 의령군 의령읍 의병로24동길 12-251994133.64055-572-44032020-12-11
910의령읍구룡마을회관경상남도 의령군 의령읍 구룡로2길 161980116.2055-572-14682020-12-11
순번마을명마을회관명소재지건축연도규모(㎡)전화번호데이터기준일
234236유곡면마두마을회관경상남도 의령군 유곡면 청정로12남길 2200070.2055-572-05662020-12-11
235237유곡면판곡마을회관경상남도 의령군 유곡면 청정로16길 70199888.58055-573-79192020-12-11
236238유곡면엄현마을회관경상남도 의령군 유곡면 청정로15길 49200169.0055-573-03052020-12-11
237239유곡면옥동마을회관경상남도 의령군 유곡면 청정로14길 1-4200169.0055-573-88182020-12-11
238240유곡면등대마을회관경상남도 의령군 유곡면 청정로 2241199768.4055-573-59422020-12-11
239241유곡면마장마을회관경상남도 의령군 유곡면 마장로5길 2-1200536.55055-573-69142020-12-11
240242유곡면당동마을회관경상남도 의령군 유곡면 마장로3길 14199984.24055-573-46712020-12-11
241243유곡면덕천마을회관경상남도 의령군 유곡면 청정로17길 47-4200059.36055-573-58052020-12-11
242244유곡면세간1구마을회관경상남도 의령군 유곡면 세간2길 262002162.71055-574-01172020-12-11
243245유곡면세간마을회관경상남도 의령군 유곡면 세간2길 23-82007115.76055-574-00752020-12-11