Overview

Dataset statistics

Number of variables12
Number of observations65
Missing cells63
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory102.0 B

Variable types

Categorical6
Text3
Numeric3

Dataset

Description충청북도 단양군의 다목적회관(마을회관) 데이터로 읍면, 회관명, 주소, 소유자 , 신축년도, 대지면적, 건물연면적, 층수, 층별 사용 내역 및 데이터기준일자 등의 항목을 제공함.
Author충청북도 단양군
URLhttps://www.data.go.kr/data/15004464/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대지면적(제곱미터) is highly overall correlated with 2층High correlation
층수 is highly overall correlated with 1층 and 1 other fieldsHigh correlation
1층 is highly overall correlated with 층수High correlation
2층 is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
소유자 is highly imbalanced (56.4%)Imbalance
신축년도 has 1 (1.5%) missing valuesMissing
3~4층 has 62 (95.4%) missing valuesMissing
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:39:22.840757
Analysis finished2023-12-12 21:39:24.631721
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

Distinct8
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
매포읍
12 
가곡면
12 
영춘면
10 
대강면
8 
단성면
7 
Other values (3)
16 

Length

Max length4
Median length3
Mean length3.0923077
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
매포읍 12
18.5%
가곡면 12
18.5%
영춘면 10
15.4%
대강면 8
12.3%
단성면 7
10.8%
단양읍 6
9.2%
어상천면 6
9.2%
적성면 4
 
6.2%

Length

2023-12-13T06:39:24.691428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:24.831396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매포읍 12
18.5%
가곡면 12
18.5%
영춘면 10
15.4%
대강면 8
12.3%
단성면 7
10.8%
단양읍 6
9.2%
어상천면 6
9.2%
적성면 4
 
6.2%

회관명
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T06:39:25.086451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.1538462
Min length7

Characters and Unicode

Total characters595
Distinct characters99
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

Unique63 ?
Unique (%)96.9%

Sample

1st row상진2리 다목적회관
2nd row상진3리 다목적회관
3rd row상진4리 건강증진센터
4th row상진5리 마을회관
5th row도전3리 마을회관
ValueCountFrequency (%)
다목적회관 29
22.5%
마을회관 28
21.7%
상1리 2
 
1.6%
건강관리실 2
 
1.6%
석교2리 2
 
1.6%
어의곡2리 1
 
0.8%
어의곡1리 1
 
0.8%
대대2리 1
 
0.8%
농촌체험관 1
 
0.8%
대대1리 1
 
0.8%
Other values (61) 61
47.3%
2023-12-13T06:39:25.458869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 67
 
11.3%
64
 
10.8%
관 63
 
10.6%
회 60
 
10.1%
마 30
 
5.0%
을 30
 
5.0%
적 29
 
4.9%
다 29
 
4.9%
목 29
 
4.9%
1 12
 
2.0%
Other values (89) 182
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
83.2%
Space Separator 64
 
10.8%
Decimal Number 34
 
5.7%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 67
13.5%
관 63
12.7%
회 60
12.1%
마 30
 
6.1%
을 30
 
6.1%
적 29
 
5.9%
다 29
 
5.9%
목 29
 
5.9%
평 12
 
2.4%
상 9
 
1.8%
Other values (79) 137
27.7%
Decimal Number
ValueCountFrequency (%)
1 12
35.3%
2 11
32.4%
3 4
 
11.8%
4 3
 
8.8%
5 2
 
5.9%
7 1
 
2.9%
8 1
 
2.9%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
83.2%
Common 100
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 67
13.5%
관 63
12.7%
회 60
12.1%
마 30
 
6.1%
을 30
 
6.1%
적 29
 
5.9%
다 29
 
5.9%
목 29
 
5.9%
평 12
 
2.4%
상 9
 
1.8%
Other values (79) 137
27.7%
Common
ValueCountFrequency (%)
64
64.0%
1 12
 
12.0%
2 11
 
11.0%
3 4
 
4.0%
4 3
 
3.0%
5 2
 
2.0%
( 1
 
1.0%
) 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
83.2%
ASCII 100
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 67
13.5%
관 63
12.7%
회 60
12.1%
마 30
 
6.1%
을 30
 
6.1%
적 29
 
5.9%
다 29
 
5.9%
목 29
 
5.9%
평 12
 
2.4%
상 9
 
1.8%
Other values (79) 137
27.7%
ASCII
ValueCountFrequency (%)
64
64.0%
1 12
 
12.0%
2 11
 
11.0%
3 4
 
4.0%
4 3
 
3.0%
5 2
 
2.0%
( 1
 
1.0%
) 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%

주소
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T06:39:25.733459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.1230769
Min length5

Characters and Unicode

Total characters528
Distinct characters101
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row상진8길 7
2nd row상진2로 8-1
3rd row상진17길 18-1
4th row상진2로 17
5th row도전9나길 11
ValueCountFrequency (%)
3 3
 
2.3%
별방창원로 2
 
1.5%
새밭로 2
 
1.5%
33 2
 
1.5%
5 2
 
1.5%
6 2
 
1.5%
12 2
 
1.5%
18 2
 
1.5%
7 2
 
1.5%
상진2로 2
 
1.5%
Other values (109) 110
84.0%
2023-12-13T06:39:26.246059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
13.1%
1 47
 
8.9%
길 46
 
8.7%
3 28
 
5.3%
2 27
 
5.1%
8 19
 
3.6%
로 19
 
3.6%
- 18
 
3.4%
6 17
 
3.2%
4 16
 
3.0%
Other values (91) 222
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
45.1%
Decimal Number 201
38.1%
Space Separator 69
 
13.1%
Dash Punctuation 18
 
3.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 46
19.3%
로 19
 
8.0%
평 12
 
5.0%
상 10
 
4.2%
동 9
 
3.8%
천 8
 
3.4%
곡 6
 
2.5%
진 5
 
2.1%
방 5
 
2.1%
강 5
 
2.1%
Other values (77) 113
47.5%
Decimal Number
ValueCountFrequency (%)
1 47
23.4%
3 28
13.9%
2 27
13.4%
8 19
9.5%
6 17
 
8.5%
4 16
 
8.0%
5 14
 
7.0%
7 13
 
6.5%
0 13
 
6.5%
9 7
 
3.5%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
54.9%
Hangul 238
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 46
19.3%
로 19
 
8.0%
평 12
 
5.0%
상 10
 
4.2%
동 9
 
3.8%
천 8
 
3.4%
곡 6
 
2.5%
진 5
 
2.1%
방 5
 
2.1%
강 5
 
2.1%
Other values (77) 113
47.5%
Common
ValueCountFrequency (%)
69
23.8%
1 47
16.2%
3 28
9.7%
2 27
 
9.3%
8 19
 
6.6%
- 18
 
6.2%
6 17
 
5.9%
4 16
 
5.5%
5 14
 
4.8%
7 13
 
4.5%
Other values (4) 22
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
54.9%
Hangul 238
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
23.8%
1 47
16.2%
3 28
9.7%
2 27
 
9.3%
8 19
 
6.6%
- 18
 
6.2%
6 17
 
5.9%
4 16
 
5.5%
5 14
 
4.8%
7 13
 
4.5%
Other values (4) 22
 
7.6%
Hangul
ValueCountFrequency (%)
길 46
19.3%
로 19
 
8.0%
평 12
 
5.0%
상 10
 
4.2%
동 9
 
3.8%
천 8
 
3.4%
곡 6
 
2.5%
진 5
 
2.1%
방 5
 
2.1%
강 5
 
2.1%
Other values (77) 113
47.5%

소유자
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
마을회
55 
단양군
9 
개발위원회
 
1

Length

Max length5
Median length3
Mean length3.0307692
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row마을회
2nd row마을회
3rd row마을회
4th row마을회
5th row단양군

Common Values

ValueCountFrequency (%)
마을회 55
84.6%
단양군 9
 
13.8%
개발위원회 1
 
1.5%

Length

2023-12-13T06:39:26.439867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:26.545299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마을회 55
84.6%
단양군 9
 
13.8%
개발위원회 1
 
1.5%

신축년도
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)42.2%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean2002.7812
Minimum1978
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T06:39:26.645889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1978
5-th percentile1981.2
Q11996
median2003
Q32009
95-th percentile2019.85
Maximum2022
Range44
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.360898
Coefficient of variation (CV)0.0051732551
Kurtosis0.27663305
Mean2002.7812
Median Absolute Deviation (MAD)6.5
Skewness-0.32841802
Sum128178
Variance107.34821
MonotonicityNot monotonic
2023-12-13T06:39:26.762675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2001 7
 
10.8%
2003 6
 
9.2%
1996 5
 
7.7%
2009 4
 
6.2%
1994 4
 
6.2%
2019 4
 
6.2%
2004 3
 
4.6%
2006 3
 
4.6%
2008 3
 
4.6%
2002 2
 
3.1%
Other values (17) 23
35.4%
ValueCountFrequency (%)
1978 2
 
3.1%
1979 1
 
1.5%
1980 1
 
1.5%
1988 1
 
1.5%
1989 1
 
1.5%
1992 2
 
3.1%
1994 4
6.2%
1995 2
 
3.1%
1996 5
7.7%
2000 1
 
1.5%
ValueCountFrequency (%)
2022 1
 
1.5%
2021 1
 
1.5%
2020 2
3.1%
2019 4
6.2%
2016 1
 
1.5%
2014 1
 
1.5%
2011 1
 
1.5%
2010 2
3.1%
2009 4
6.2%
2008 3
4.6%

대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean665.40908
Minimum90
Maximum10176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T06:39:27.171429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile160.524
Q1285
median374
Q3688
95-th percentile1213
Maximum10176
Range10086
Interquartile range (IQR)403

Descriptive statistics

Standard deviation1262.227
Coefficient of variation (CV)1.8969188
Kurtosis52.245748
Mean665.40908
Median Absolute Deviation (MAD)172.8
Skewness6.929955
Sum43251.59
Variance1593217
MonotonicityNot monotonic
2023-12-13T06:39:27.297281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990.0 2
 
3.1%
331.0 2
 
3.1%
162.2 1
 
1.5%
850.0 1
 
1.5%
332.0 1
 
1.5%
320.4 1
 
1.5%
455.0 1
 
1.5%
379.0 1
 
1.5%
1018.0 1
 
1.5%
2394.0 1
 
1.5%
Other values (53) 53
81.5%
ValueCountFrequency (%)
90.0 1
1.5%
99.0 1
1.5%
107.43 1
1.5%
160.38 1
1.5%
161.1 1
1.5%
162.18 1
1.5%
162.2 1
1.5%
166.16 1
1.5%
189.0 1
1.5%
201.2 1
1.5%
ValueCountFrequency (%)
10176.0 1
1.5%
2394.0 1
1.5%
1742.0 1
1.5%
1243.0 1
1.5%
1093.0 1
1.5%
1018.0 1
1.5%
1007.0 1
1.5%
990.0 2
3.1%
904.0 1
1.5%
902.0 1
1.5%

건물연면적(제곱미터)
Real number (ℝ)

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.71055
Minimum42.66
Maximum793.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T06:39:27.428164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.66
5-th percentile70.502
Q1100.94
median133.56
Q3195.89
95-th percentile353.786
Maximum793.86
Range751.2
Interquartile range (IQR)94.95

Descriptive statistics

Standard deviation110.80714
Coefficient of variation (CV)0.66867886
Kurtosis15.610652
Mean165.71055
Median Absolute Deviation (MAD)37.06
Skewness3.2613009
Sum10771.186
Variance12278.223
MonotonicityNot monotonic
2023-12-13T06:39:27.554828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.0 2
 
3.1%
180.37 1
 
1.5%
793.86 1
 
1.5%
359.1 1
 
1.5%
99.27 1
 
1.5%
110.04 1
 
1.5%
182.74 1
 
1.5%
159.4 1
 
1.5%
109.86 1
 
1.5%
78.0 1
 
1.5%
Other values (54) 54
83.1%
ValueCountFrequency (%)
42.66 1
1.5%
59.93 1
1.5%
66.0 1
1.5%
70.32 1
1.5%
71.23 1
1.5%
78.0 1
1.5%
80.19 1
1.5%
87.08 1
1.5%
90.0 1
1.5%
90.78 1
1.5%
ValueCountFrequency (%)
793.86 1
1.5%
393.72 1
1.5%
392.0 1
1.5%
359.1 1
1.5%
332.53 1
1.5%
278.71 1
1.5%
264.7 1
1.5%
258.89 1
1.5%
254.1 1
1.5%
244.47 1
1.5%

층수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
2
32 
1
30 
4
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row2
2nd row2
3rd row4
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 32
49.2%
1 30
46.2%
4 2
 
3.1%
3 1
 
1.5%

Length

2023-12-13T06:39:27.673781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:27.763797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 32
49.2%
1 30
46.2%
4 2
 
3.1%
3 1
 
1.5%

1층
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
마을회관
34 
경로당
23 
구판장
 
1
농촌문화생활관
 
1
경로당,마을회관
 
1
Other values (5)
5 

Length

Max length8
Median length4
Mean length3.8153846
Min length3

Unique

Unique8 ?
Unique (%)12.3%

Sample

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

Common Values

ValueCountFrequency (%)
마을회관 34
52.3%
경로당 23
35.4%
구판장 1
 
1.5%
농촌문화생활관 1
 
1.5%
경로당,마을회관 1
 
1.5%
공동시설 1
 
1.5%
건강관리실 1
 
1.5%
마을회관, 창고 1
 
1.5%
판매장 1
 
1.5%
다목적회관 1
 
1.5%

Length

2023-12-13T06:39:27.865887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:27.985363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마을회관 35
53.0%
경로당 23
34.8%
구판장 1
 
1.5%
농촌문화생활관 1
 
1.5%
경로당,마을회관 1
 
1.5%
공동시설 1
 
1.5%
건강관리실 1
 
1.5%
창고 1
 
1.5%
판매장 1
 
1.5%
다목적회관 1
 
1.5%

2층
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
30 
마을회관
27 
경로당
 
3
창고
 
2
건강관리실
 
1
Other values (2)
 
2

Length

Max length5
Median length4
Mean length3.9076923
Min length2

Unique

Unique3 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
46.2%
마을회관 27
41.5%
경로당 3
 
4.6%
창고 2
 
3.1%
건강관리실 1
 
1.5%
관리사무소 1
 
1.5%
회의실 1
 
1.5%

Length

2023-12-13T06:39:28.133424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:28.265861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
46.2%
마을회관 27
41.5%
경로당 3
 
4.6%
창고 2
 
3.1%
건강관리실 1
 
1.5%
관리사무소 1
 
1.5%
회의실 1
 
1.5%

3~4층
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing62
Missing (%)95.4%
Memory size652.0 B
2023-12-13T06:39:28.400083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length5.3333333
Min length4

Characters and Unicode

Total characters16
Distinct characters10
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

Unique1 ?
Unique (%)33.3%

Sample

1st row회의실 및 창고
2nd row마을회관
3rd row마을회관
ValueCountFrequency (%)
마을회관 2
40.0%
회의실 1
20.0%
및 1
20.0%
창고 1
20.0%
2023-12-13T06:39:28.632614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 3
18.8%
마 2
12.5%
을 2
12.5%
관 2
12.5%
2
12.5%
의 1
 
6.2%
실 1
 
6.2%
및 1
 
6.2%
창 1
 
6.2%
고 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
87.5%
Space Separator 2
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 3
21.4%
마 2
14.3%
을 2
14.3%
관 2
14.3%
의 1
 
7.1%
실 1
 
7.1%
및 1
 
7.1%
창 1
 
7.1%
고 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
87.5%
Common 2
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 3
21.4%
마 2
14.3%
을 2
14.3%
관 2
14.3%
의 1
 
7.1%
실 1
 
7.1%
및 1
 
7.1%
창 1
 
7.1%
고 1
 
7.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
87.5%
ASCII 2
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 3
21.4%
마 2
14.3%
을 2
14.3%
관 2
14.3%
의 1
 
7.1%
실 1
 
7.1%
및 1
 
7.1%
창 1
 
7.1%
고 1
 
7.1%
ASCII
ValueCountFrequency (%)
2
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2022-06-15
65 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-15
2nd row2022-06-15
3rd row2022-06-15
4th row2022-06-15
5th row2022-06-15

Common Values

ValueCountFrequency (%)
2022-06-15 65
100.0%

Length

2023-12-13T06:39:28.741400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:28.819721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-15 65
100.0%

Interactions

2023-12-13T06:39:24.000092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:23.506423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:23.760217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:24.075043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:23.580434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:23.836436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:24.157658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:23.655176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:23.907379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:39:28.884519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면회관명주소소유자신축년도대지면적(제곱미터)건물연면적(제곱미터)층수1층2층3~4층
읍면1.0000.8031.0000.0000.2560.3530.2010.6120.2980.0001.000
회관명0.8031.0001.0001.0000.9711.0000.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소유자0.0001.0001.0001.0000.6090.0000.4730.1320.0000.000NaN
신축년도0.2560.9711.0000.6091.0000.0000.0000.0000.0000.529NaN
대지면적(제곱미터)0.3531.0001.0000.0000.0001.0000.0000.0000.0001.000NaN
건물연면적(제곱미터)0.2010.0001.0000.4730.0000.0001.0000.6760.6390.4661.000
층수0.6121.0001.0000.1320.0000.0000.6761.0000.9140.9080.000
1층0.2981.0001.0000.0000.0000.0000.6390.9141.0000.5171.000
2층0.0001.0001.0000.0000.5291.0000.4660.9080.5171.0000.000
3~4층1.0001.0001.000NaNNaNNaN1.0000.0001.0000.0001.000
2023-12-13T06:39:29.002098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2층층수소유자읍면1층
2층1.0000.6030.0000.0000.371
층수0.6031.0000.1210.2980.767
소유자0.0000.1211.0000.0000.000
읍면0.0000.2980.0001.0000.136
1층0.3710.7670.0000.1361.000
2023-12-13T06:39:29.087268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신축년도대지면적(제곱미터)건물연면적(제곱미터)읍면소유자층수1층2층
신축년도1.0000.4880.3390.0770.3220.0000.0000.128
대지면적(제곱미터)0.4881.0000.2780.1530.0000.0000.0000.937
건물연면적(제곱미터)0.3390.2781.0000.1020.2140.4960.3880.170
읍면0.0770.1530.1021.0000.0000.2980.1360.000
소유자0.3220.0000.2140.0001.0000.1210.0000.000
층수0.0000.0000.4960.2980.1211.0000.7670.603
1층0.0000.0000.3880.1360.0000.7671.0000.371
2층0.1280.9370.1700.0000.0000.6030.3711.000

Missing values

2023-12-13T06:39:24.293293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:39:24.447162image/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.
2023-12-13T06:39:24.579696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

읍면회관명주소소유자신축년도대지면적(제곱미터)건물연면적(제곱미터)층수1층2층3~4층데이터기준일자
0단양읍상진2리 다목적회관상진8길 7마을회2002162.2180.372경로당마을회관<NA>2022-06-15
1단양읍상진3리 다목적회관상진2로 8-1마을회1995161.1179.22경로당마을회관<NA>2022-06-15
2단양읍상진4리 건강증진센터상진17길 18-1마을회2003204.9393.724마을회관건강관리실회의실 및 창고2022-06-15
3단양읍상진5리 마을회관상진2로 17마을회199610176.0264.72마을회관관리사무소<NA>2022-06-15
4단양읍도전3리 마을회관도전9나길 11단양군2009463.3258.892마을회관마을회관<NA>2022-06-15
5단양읍천동리 다목적회관천동3길 18마을회2003209.0163.382경로당마을회관<NA>2022-06-15
6매포읍응실리 마을회관응실길 99마을회2011904.0211.72구판장마을회관<NA>2022-06-15
7매포읍평동1리 다목적회관평동21길 18마을회2001549.33244.472경로당마을회관<NA>2022-06-15
8매포읍평동2리 다목적회관평동4길 24-4개발위원회200699.071.232경로당마을회관<NA>2022-06-15
9매포읍평동3리 다목적회관평동20길 17-5단양군1994215.6101.8842경로당마을회관<NA>2022-06-15
읍면회관명주소소유자신축년도대지면적(제곱미터)건물연면적(제곱미터)층수1층2층3~4층데이터기준일자
55어상천면임현1리 마을회관매포어상천로 1257-21마을회1996331.099.61마을회관<NA><NA>2022-06-15
56어상천면연곡1리 마을회관매포어상천로 852-1마을회2006372.091.122마을회관마을회관<NA>2022-06-15
57어상천면석교2리 마을회관석교4길 41마을회2001777.0100.81마을회관<NA><NA>2022-06-15
58어상천면석교2리 마을회관(멍앗)석교7길 8-5마을회2004724.090.01마을회관<NA><NA>2022-06-15
59어상천면대전2리 마을회관대전2길 20-3마을회2001291.0108.661마을회관<NA><NA>2022-06-15
60어상천면심곡리 마을회관연곡심곡로 680-8마을회2010990.0114.991마을회관<NA><NA>2022-06-15
61적성면각기리 마을회관각기2길 30마을회<NA>551.0160.01마을회관<NA><NA>2022-06-15
62적성면현곡리 다목적회관현곡본길 39-1마을회2001340.0100.941다목적회관<NA><NA>2022-06-15
63적성면소야리 마을회관학현소야로 1016마을회2019246.070.321마을회관<NA><NA>2022-06-15
64적성면상1리 마을회관상리2길 4마을회20201093.0278.712경로당마을회관<NA>2022-06-15