Overview

Dataset statistics

Number of variables11
Number of observations52
Missing cells9
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory94.5 B

Variable types

Categorical4
Text3
Numeric4

Dataset

Description강원특별자치도 장례식장 정보(시설명, 공사설 구분, 빈소수,안치능력, 연락처, 소재지도로명주소 등) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15033693/fileData.do

Alerts

부지 is highly overall correlated with 연면적High correlation
연면적 is highly overall correlated with 부지 and 1 other fieldsHigh correlation
빈소수 is highly overall correlated with 안치능력High correlation
안치능력 is highly overall correlated with 연면적 and 2 other fieldsHigh correlation
공사설구분 is highly overall correlated with 안치능력High correlation
시도명 is highly imbalanced (68.2%)Imbalance
부지 has 7 (13.5%) missing valuesMissing
연면적 has 1 (1.9%) missing valuesMissing
연락처 has 1 (1.9%) missing valuesMissing
시설명 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:38:57.328113
Analysis finished2023-12-12 03:39:01.149634
Duration3.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
강원특별자치도
49 
강원특별자치도
 
3

Length

Max length8
Median length7
Mean length7.0576923
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 49
94.2%
강원특별자치도 3
 
5.8%

Length

2023-12-12T12:39:01.247135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:01.391777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 52
100.0%

시군구명
Categorical

Distinct18
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
원주
7 
강릉
6 
동해
5 
춘천
4 
홍천
4 
Other values (13)
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique4 ?
Unique (%)7.7%

Sample

1st row춘천
2nd row춘천
3rd row춘천
4th row춘천
5th row원주

Common Values

ValueCountFrequency (%)
원주 7
13.5%
강릉 6
11.5%
동해 5
9.6%
춘천 4
 
7.7%
홍천 4
 
7.7%
정선 3
 
5.8%
속초 3
 
5.8%
삼척 3
 
5.8%
철원 3
 
5.8%
횡성 2
 
3.8%
Other values (8) 12
23.1%

Length

2023-12-12T12:39:01.538573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주 7
13.5%
강릉 6
11.5%
동해 5
9.6%
춘천 4
 
7.7%
홍천 4
 
7.7%
정선 3
 
5.8%
속초 3
 
5.8%
삼척 3
 
5.8%
철원 3
 
5.8%
평창 2
 
3.8%
Other values (8) 12
23.1%

시설명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T12:39:01.839360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10.5
Mean length8.1346154
Min length5

Characters and Unicode

Total characters423
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row강원대학교병원장례식장
2nd row강원효장례문화원
3rd row호반요양병원장례식장
4th row춘천장례식장
5th row연세원주장례식장
ValueCountFrequency (%)
장례식장 9
 
14.5%
강원대학교병원장례식장 1
 
1.6%
진부장례식장 1
 
1.6%
평창장례식장 1
 
1.6%
도계장례식장 1
 
1.6%
하늘정원장례식장 1
 
1.6%
홍천군장례식장 1
 
1.6%
홍천장례문화원 1
 
1.6%
홍천아산병원장례식장 1
 
1.6%
서석장례식장 1
 
1.6%
Other values (44) 44
71.0%
2023-12-12T12:39:02.295720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 99
23.4%
례 52
 
12.3%
식 46
 
10.9%
원 31
 
7.3%
병 13
 
3.1%
10
 
2.4%
강 8
 
1.9%
문 8
 
1.9%
화 8
 
1.9%
의 6
 
1.4%
Other values (77) 142
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
96.9%
Space Separator 10
 
2.4%
Open Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 99
24.1%
례 52
 
12.7%
식 46
 
11.2%
원 31
 
7.6%
병 13
 
3.2%
강 8
 
2.0%
문 8
 
2.0%
화 8
 
2.0%
의 6
 
1.5%
동 6
 
1.5%
Other values (73) 133
32.4%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
97.2%
Common 12
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 99
24.1%
례 52
 
12.7%
식 46
 
11.2%
원 31
 
7.5%
병 13
 
3.2%
강 8
 
1.9%
문 8
 
1.9%
화 8
 
1.9%
의 6
 
1.5%
동 6
 
1.5%
Other values (74) 134
32.6%
Common
ValueCountFrequency (%)
10
83.3%
( 1
 
8.3%
) 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
96.9%
ASCII 12
 
2.8%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 99
24.1%
례 52
 
12.7%
식 46
 
11.2%
원 31
 
7.6%
병 13
 
3.2%
강 8
 
2.0%
문 8
 
2.0%
화 8
 
2.0%
의 6
 
1.5%
동 6
 
1.5%
Other values (73) 133
32.4%
ASCII
ValueCountFrequency (%)
10
83.3%
( 1
 
8.3%
) 1
 
8.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공사설구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
사설
39 
공설
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사설 39
75.0%
공설 13
 
25.0%

Length

2023-12-12T12:39:02.457430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:02.588106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사설 39
75.0%
공설 13
 
25.0%

종류
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
병원
26 
전문
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row병원
2nd row전문
3rd row병원
4th row전문
5th row병원

Common Values

ValueCountFrequency (%)
병원 26
50.0%
전문 26
50.0%

Length

2023-12-12T12:39:02.720939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:02.844931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 26
50.0%
전문 26
50.0%

부지
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct45
Distinct (%)100.0%
Missing7
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean4805.8889
Minimum377
Maximum36747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T12:39:03.000185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum377
5-th percentile457.8
Q11805
median3199
Q35702
95-th percentile11309.2
Maximum36747
Range36370
Interquartile range (IQR)3897

Descriptive statistics

Standard deviation5850.2406
Coefficient of variation (CV)1.2173067
Kurtosis20.235374
Mean4805.8889
Median Absolute Deviation (MAD)1796
Skewness3.9454186
Sum216265
Variance34225316
MonotonicityNot monotonic
2023-12-12T12:39:03.169974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4995 1
 
1.9%
7783 1
 
1.9%
2050 1
 
1.9%
2034 1
 
1.9%
5077 1
 
1.9%
1622 1
 
1.9%
10418 1
 
1.9%
5895 1
 
1.9%
3750 1
 
1.9%
450 1
 
1.9%
Other values (35) 35
67.3%
(Missing) 7
 
13.5%
ValueCountFrequency (%)
377 1
1.9%
450 1
1.9%
454 1
1.9%
473 1
1.9%
651 1
1.9%
942 1
1.9%
1174 1
1.9%
1465 1
1.9%
1605 1
1.9%
1622 1
1.9%
ValueCountFrequency (%)
36747 1
1.9%
13698 1
1.9%
11532 1
1.9%
10418 1
1.9%
9815 1
1.9%
8538 1
1.9%
8275 1
1.9%
8000 1
1.9%
7783 1
1.9%
7641 1
1.9%

연면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct51
Distinct (%)100.0%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1467.4706
Minimum142
Maximum6535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T12:39:03.382944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142
5-th percentile413.5
Q1690
median1170
Q31675.5
95-th percentile4600
Maximum6535
Range6393
Interquartile range (IQR)985.5

Descriptive statistics

Standard deviation1282.2089
Coefficient of variation (CV)0.8737544
Kurtosis6.0872619
Mean1467.4706
Median Absolute Deviation (MAD)503
Skewness2.3759256
Sum74841
Variance1644059.6
MonotonicityNot monotonic
2023-12-12T12:39:03.562963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2016 1
 
1.9%
1096 1
 
1.9%
1221 1
 
1.9%
1543 1
 
1.9%
1941 1
 
1.9%
5361 1
 
1.9%
713 1
 
1.9%
142 1
 
1.9%
1442 1
 
1.9%
768 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
142 1
1.9%
323 1
1.9%
377 1
1.9%
450 1
1.9%
465 1
1.9%
473 1
1.9%
480 1
1.9%
559 1
1.9%
588 1
1.9%
600 1
1.9%
ValueCountFrequency (%)
6535 1
1.9%
5361 1
1.9%
4898 1
1.9%
4302 1
1.9%
2761 1
1.9%
2392 1
1.9%
2183 1
1.9%
2112 1
1.9%
2016 1
1.9%
1941 1
1.9%

빈소수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1538462
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T12:39:03.724856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile6.45
Maximum8
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4869974
Coefficient of variation (CV)0.35798087
Kurtosis-0.46308077
Mean4.1538462
Median Absolute Deviation (MAD)1
Skewness0.46988487
Sum216
Variance2.2111614
MonotonicityNot monotonic
2023-12-12T12:39:03.866818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 15
28.8%
4 11
21.2%
5 9
17.3%
6 8
15.4%
2 6
 
11.5%
7 2
 
3.8%
8 1
 
1.9%
ValueCountFrequency (%)
2 6
 
11.5%
3 15
28.8%
4 11
21.2%
5 9
17.3%
6 8
15.4%
7 2
 
3.8%
8 1
 
1.9%
ValueCountFrequency (%)
8 1
 
1.9%
7 2
 
3.8%
6 8
15.4%
5 9
17.3%
4 11
21.2%
3 15
28.8%
2 6
 
11.5%

안치능력
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9230769
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T12:39:04.026093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.55
Q14
median6
Q38
95-th percentile12
Maximum18
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9694269
Coefficient of variation (CV)0.42891722
Kurtosis2.5038861
Mean6.9230769
Median Absolute Deviation (MAD)2
Skewness1.1805566
Sum360
Variance8.8174962
MonotonicityNot monotonic
2023-12-12T12:39:04.184126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 16
30.8%
8 12
23.1%
4 11
21.2%
10 5
 
9.6%
12 4
 
7.7%
3 2
 
3.8%
18 1
 
1.9%
2 1
 
1.9%
ValueCountFrequency (%)
2 1
 
1.9%
3 2
 
3.8%
4 11
21.2%
6 16
30.8%
8 12
23.1%
10 5
 
9.6%
12 4
 
7.7%
18 1
 
1.9%
ValueCountFrequency (%)
18 1
 
1.9%
12 4
 
7.7%
10 5
 
9.6%
8 12
23.1%
6 16
30.8%
4 11
21.2%
3 2
 
3.8%
2 1
 
1.9%

연락처
Text

MISSING 

Distinct51
Distinct (%)100.0%
Missing1
Missing (%)1.9%
Memory size548.0 B
2023-12-12T12:39:04.498149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.058824
Min length12

Characters and Unicode

Total characters615
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row033-254-5611
2nd row033-261-4441
3rd row033-252-0046
4th row033-256-4444
5th row033-744-3969
ValueCountFrequency (%)
033-254-5611 1
 
2.0%
033-335-3240 1
 
2.0%
033-330-4836 1
 
2.0%
033-575-4441 1
 
2.0%
033-436-1919 1
 
2.0%
033-434-7788 1
 
2.0%
033-435-4444 1
 
2.0%
033-430-4558 1
 
2.0%
033-343-1444 1
 
2.0%
033-344-4449 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T12:39:04.954638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 138
22.4%
4 114
18.5%
- 102
16.6%
0 95
15.4%
5 36
 
5.9%
6 34
 
5.5%
1 30
 
4.9%
7 21
 
3.4%
2 19
 
3.1%
9 13
 
2.1%
Other values (2) 13
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
82.9%
Dash Punctuation 102
 
16.6%
Space Separator 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 138
27.1%
4 114
22.4%
0 95
18.6%
5 36
 
7.1%
6 34
 
6.7%
1 30
 
5.9%
7 21
 
4.1%
2 19
 
3.7%
9 13
 
2.5%
8 10
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 615
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 138
22.4%
4 114
18.5%
- 102
16.6%
0 95
15.4%
5 36
 
5.9%
6 34
 
5.5%
1 30
 
4.9%
7 21
 
3.4%
2 19
 
3.1%
9 13
 
2.1%
Other values (2) 13
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 615
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 138
22.4%
4 114
18.5%
- 102
16.6%
0 95
15.4%
5 36
 
5.9%
6 34
 
5.5%
1 30
 
4.9%
7 21
 
3.4%
2 19
 
3.1%
9 13
 
2.1%
Other values (2) 13
 
2.1%

소재지주소
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T12:39:05.361064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length23.826923
Min length17

Characters and Unicode

Total characters1239
Distinct characters127
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

Unique52 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 춘천시 백령로 156 (효자동)
2nd row강원특별자치도 춘천시 순환대로 877 (내면)
3rd row강원특별자치도 춘천시 옛경춘로 663 (삼천동)
4th row강원특별자치도 춘천시 소양강로 409(동면)
5th row강원특별자치도 원주시 일산로 20(일산동)
ValueCountFrequency (%)
강원특별자치도 52
 
22.3%
원주시 7
 
3.0%
강릉시 6
 
2.6%
춘천시 4
 
1.7%
동해시 4
 
1.7%
홍천군 3
 
1.3%
홍천읍 3
 
1.3%
삼척시 3
 
1.3%
속초시 3
 
1.3%
철원군 3
 
1.3%
Other values (132) 145
62.2%
2023-12-12T12:39:05.975786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
16.5%
원 68
 
5.5%
강 64
 
5.2%
자 54
 
4.4%
도 54
 
4.4%
치 53
 
4.3%
특 52
 
4.2%
별 52
 
4.2%
로 44
 
3.6%
1 33
 
2.7%
Other values (117) 561
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 824
66.5%
Space Separator 204
 
16.5%
Decimal Number 169
 
13.6%
Open Punctuation 15
 
1.2%
Close Punctuation 15
 
1.2%
Dash Punctuation 12
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 68
 
8.3%
강 64
 
7.8%
자 54
 
6.6%
도 54
 
6.6%
치 53
 
6.4%
특 52
 
6.3%
별 52
 
6.3%
로 44
 
5.3%
시 30
 
3.6%
동 23
 
2.8%
Other values (103) 330
40.0%
Decimal Number
ValueCountFrequency (%)
1 33
19.5%
2 19
11.2%
3 18
10.7%
6 17
10.1%
4 17
10.1%
7 16
9.5%
5 16
9.5%
9 14
8.3%
8 11
 
6.5%
0 8
 
4.7%
Space Separator
ValueCountFrequency (%)
204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 824
66.5%
Common 415
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 68
 
8.3%
강 64
 
7.8%
자 54
 
6.6%
도 54
 
6.6%
치 53
 
6.4%
특 52
 
6.3%
별 52
 
6.3%
로 44
 
5.3%
시 30
 
3.6%
동 23
 
2.8%
Other values (103) 330
40.0%
Common
ValueCountFrequency (%)
204
49.2%
1 33
 
8.0%
2 19
 
4.6%
3 18
 
4.3%
6 17
 
4.1%
4 17
 
4.1%
7 16
 
3.9%
5 16
 
3.9%
( 15
 
3.6%
) 15
 
3.6%
Other values (4) 45
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 824
66.5%
ASCII 415
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
49.2%
1 33
 
8.0%
2 19
 
4.6%
3 18
 
4.3%
6 17
 
4.1%
4 17
 
4.1%
7 16
 
3.9%
5 16
 
3.9%
( 15
 
3.6%
) 15
 
3.6%
Other values (4) 45
 
10.8%
Hangul
ValueCountFrequency (%)
원 68
 
8.3%
강 64
 
7.8%
자 54
 
6.6%
도 54
 
6.6%
치 53
 
6.4%
특 52
 
6.3%
별 52
 
6.3%
로 44
 
5.3%
시 30
 
3.6%
동 23
 
2.8%
Other values (103) 330
40.0%

Interactions

2023-12-12T12:39:00.147716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:58.104918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.058942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.571137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:00.282944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:58.234988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.202156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.702012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:00.404812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:58.749759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.333320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.852625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:00.511860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:58.891176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.454828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:59.996299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:39:06.130990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명시군구명시설명공사설구분종류부지연면적빈소수안치능력연락처소재지주소
시도명1.0000.4461.0000.0000.1410.0000.0000.0000.0001.0001.000
시군구명0.4461.0001.0000.6420.6540.0000.0000.0000.0001.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공사설구분0.0000.6421.0001.0000.0000.2020.0000.0000.5141.0001.000
종류0.1410.6541.0000.0001.0000.1680.0000.2290.0001.0001.000
부지0.0000.0001.0000.2020.1681.0000.4070.2320.4681.0001.000
연면적0.0000.0001.0000.0000.0000.4071.0000.4070.6741.0001.000
빈소수0.0000.0001.0000.0000.2290.2320.4071.0000.6651.0001.000
안치능력0.0000.0001.0000.5140.0000.4680.6740.6651.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T12:39:06.319930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명시도명공사설구분종류
시군구명1.0000.2800.4180.426
시도명0.2801.0000.0000.088
공사설구분0.4180.0001.0000.000
종류0.4260.0880.0001.000
2023-12-12T12:39:06.471013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부지연면적빈소수안치능력시도명시군구명공사설구분종류
부지1.0000.5190.4540.4280.0000.0000.2410.187
연면적0.5191.0000.4950.5350.0000.0000.0000.000
빈소수0.4540.4951.0000.7100.0000.0000.0000.227
안치능력0.4280.5350.7101.0000.0000.0000.5220.000
시도명0.0000.0000.0000.0001.0000.2800.0000.088
시군구명0.0000.0000.0000.0000.2801.0000.4180.426
공사설구분0.2410.0000.0000.5220.0000.4181.0000.000
종류0.1870.0000.2270.0000.0880.4260.0001.000

Missing values

2023-12-12T12:39:00.705100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:39:00.931002image/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.
2023-12-12T12:39:01.069909image/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

시도명시군구명시설명공사설구분종류부지연면적빈소수안치능력연락처소재지주소
0강원특별자치도춘천강원대학교병원장례식장사설병원367472016612033-254-5611강원특별자치도 춘천시 백령로 156 (효자동)
1강원특별자치도춘천강원효장례문화원사설전문82751096710033-261-4441강원특별자치도 춘천시 순환대로 877 (내면)
2강원특별자치도춘천호반요양병원장례식장사설병원7641117078033-252-0046강원특별자치도 춘천시 옛경춘로 663 (삼천동)
3강원특별자치도춘천춘천장례식장사설전문2711211268033-256-4444강원특별자치도 춘천시 소양강로 409(동면)
4강원특별자치도원주연세원주장례식장사설병원80004302618033-744-3969강원특별자치도 원주시 일산로 20(일산동)
5강원특별자치도원주원주의료원장례식장사설병원1605480812033-761-6911강원특별자치도 원주시 서원대로 387(개운동)
6강원특별자치도원주하늘원장례식장사설전문43001650310033-763-4444강원특별자치도 원주시 흥업면 사제로 539
7강원특별자치도원주고색의료재단 장례식장사설병원47347324033-732-4670강원특별자치도 원주시 북원로 2636(태장동)
8강원특별자치도원주수장례식장사설병원170086244033-740-8900강원특별자치도 원주시 문막읍 원문로 1419
9강원특별자치도원주㈜서원 바른장례식장사설병원2078653556033-735-4444강원특별자치도 원주시 판부면 치악로 1133
시도명시군구명시설명공사설구분종류부지연면적빈소수안치능력연락처소재지주소
42강원특별자치도정선정선군사북장례식장공설병원1153260722033-592-4449강원특별자치도 정선군 사북읍 지장천로727
43강원특별자치도철원철원병원장례식장사설병원5702108256033-452-0044강원특별자치도 철원군 갈말읍 명성로 208
44강원특별자치도철원철원장례문화원사설병원2441489838033-456-4444강원특별자치도 철원군 동송읍 금학로157번길 23-17
45강원특별자치도철원김화장례문화원사설전문393476734033-458-0010강원특별자치도 철원군 서면 와수로 13
46강원특별자치도화천화천공설장례식장공설전문1805102336033-442-0452강원특별자치도 화천군 하남면 영서로 5697-66
47강원특별자치도양구양구군장례식장공설전문5361151646033-480-2576강원특별자치도 양구군 양구읍 금강산로 518-25
48강원특별자치도인제인제종합장묘센터(장례식장)공설전문4592176138033-462-0404강원특별자치도 인제군 남면 원남로444-62
49강원특별자치도인제인제장례식장사설전문202981546033-461-1444강원특별자치도 인제군 북면 금강로 210
50강원특별자치도고성고성장례식장사설전문223673934033-682-5000강원특별자치도 고성군 죽왕면 향목서길9
51강원특별자치도양양양양장례식장사설전문1174276136033-671-0404강원특별자치도 양양군 양양읍 양양로 9-1