Overview

Dataset statistics

Number of variables5
Number of observations136
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory41.0 B

Variable types

Categorical2
Text3

Alerts

구분 is highly overall correlated with 운영주체High correlation
운영주체 is highly overall correlated with 구분High correlation
연락처 has 2 (1.5%) missing valuesMissing

Reproduction

Analysis started2024-03-14 00:07:17.185766
Analysis finished2024-03-14 00:07:17.541819
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
장례식장
75 
봉안시설
26 
묘지
22 
자연장지
8 
화장시설
 
5

Length

Max length4
Median length4
Mean length3.6764706
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장례식장 75
55.1%
봉안시설 26
 
19.1%
묘지 22
 
16.2%
자연장지 8
 
5.9%
화장시설 5
 
3.7%

Length

2024-03-14T09:07:17.598390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:07:17.691396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장례식장 75
55.1%
봉안시설 26
 
19.1%
묘지 22
 
16.2%
자연장지 8
 
5.9%
화장시설 5
 
3.7%

시설명
Text

Distinct133
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T09:07:17.868597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.4852941
Min length2

Characters and Unicode

Total characters1018
Distinct characters166
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)95.6%

Sample

1st row전주승화원
2nd row군산시승화원
3rd row익산시정수원
4th row서남권추모공원
5th row남원시승화원
ValueCountFrequency (%)
집 4
 
2.5%
추모의 3
 
1.9%
장례식장 3
 
1.9%
현대장례식장 2
 
1.3%
호남장례식장 2
 
1.3%
하늘공원 2
 
1.3%
영모묘원 2
 
1.3%
전주효자공원 2
 
1.3%
정읍장례식장 1
 
0.6%
동이리장례식장 1
 
0.6%
Other values (136) 136
86.1%
2024-03-14T09:07:18.420080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 144
 
14.1%
례 71
 
7.0%
원 71
 
7.0%
식 62
 
6.1%
공 36
 
3.5%
22
 
2.2%
모 19
 
1.9%
화 18
 
1.8%
자 15
 
1.5%
설 15
 
1.5%
Other values (156) 545
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 967
95.0%
Space Separator 22
 
2.2%
Open Punctuation 11
 
1.1%
Close Punctuation 11
 
1.1%
Other Punctuation 3
 
0.3%
Decimal Number 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 144
 
14.9%
례 71
 
7.3%
원 71
 
7.3%
식 62
 
6.4%
공 36
 
3.7%
모 19
 
2.0%
화 18
 
1.9%
자 15
 
1.6%
설 15
 
1.6%
봉 14
 
1.4%
Other values (145) 502
51.9%
Open Punctuation
ValueCountFrequency (%)
( 10
90.9%
[ 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 10
90.9%
] 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
․ 2
66.7%
, 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 967
95.0%
Common 49
 
4.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 144
 
14.9%
례 71
 
7.3%
원 71
 
7.3%
식 62
 
6.4%
공 36
 
3.7%
모 19
 
2.0%
화 18
 
1.9%
자 15
 
1.6%
설 15
 
1.6%
봉 14
 
1.4%
Other values (145) 502
51.9%
Common
ValueCountFrequency (%)
22
44.9%
( 10
20.4%
) 10
20.4%
․ 2
 
4.1%
1 1
 
2.0%
, 1
 
2.0%
[ 1
 
2.0%
] 1
 
2.0%
2 1
 
2.0%
Latin
ValueCountFrequency (%)
M 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 967
95.0%
ASCII 49
 
4.8%
Punctuation 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 144
 
14.9%
례 71
 
7.3%
원 71
 
7.3%
식 62
 
6.4%
공 36
 
3.7%
모 19
 
2.0%
화 18
 
1.9%
자 15
 
1.6%
설 15
 
1.6%
봉 14
 
1.4%
Other values (145) 502
51.9%
ASCII
ValueCountFrequency (%)
22
44.9%
( 10
20.4%
) 10
20.4%
1 1
 
2.0%
M 1
 
2.0%
G 1
 
2.0%
, 1
 
2.0%
[ 1
 
2.0%
] 1
 
2.0%
2 1
 
2.0%
Punctuation
ValueCountFrequency (%)
․ 2
100.0%

운영주체
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사립
75 
익산시
 
6
고창군
 
5
전주시시설관리공단
 
4
정읍시
 
3
Other values (36)
43 

Length

Max length14
Median length2
Mean length3.7720588
Min length2

Unique

Unique29 ?
Unique (%)21.3%

Sample

1st row전주시설관리공단
2nd row군산시
3rd row익산시
4th row정읍시
5th row남원시

Common Values

ValueCountFrequency (%)
사립 75
55.1%
익산시 6
 
4.4%
고창군 5
 
3.7%
전주시시설관리공단 4
 
2.9%
정읍시 3
 
2.2%
(재)천주교전교구유지재단 2
 
1.5%
남원시 2
 
1.5%
민간위탁 2
 
1.5%
완주군 2
 
1.5%
대한예수교장로회 효자추모관 2
 
1.5%
Other values (31) 33
24.3%

Length

2024-03-14T09:07:18.558440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사립 75
52.8%
익산시 6
 
4.2%
고창군 5
 
3.5%
전주시시설관리공단 4
 
2.8%
재 4
 
2.8%
정읍시 3
 
2.1%
진안군 2
 
1.4%
군산시 2
 
1.4%
효자추모관 2
 
1.4%
완주군 2
 
1.4%
Other values (33) 37
26.1%

위치
Text

Distinct128
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T09:07:18.799948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length15.132353
Min length8

Characters and Unicode

Total characters2058
Distinct characters179
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

Unique122 ?
Unique (%)89.7%

Sample

1st row전주시 완산구 콩쥐팥쥐로 1705-138
2nd row군산시 임피면 보석리 401-5외 1필지
3rd row익산시 무왕로 1471-63
4th row감곡면 정읍북로 1850
5th row남원시 솔터길 40-36
ValueCountFrequency (%)
전주시완산구 17
 
4.3%
전주시덕진구 9
 
2.3%
산 9
 
2.3%
콩쥐팥쥐로 8
 
2.0%
고창군 6
 
1.5%
익산시무왕로 6
 
1.5%
1705-138 5
 
1.3%
순창군순창읍 5
 
1.3%
1471-63 5
 
1.3%
고창군고창읍 3
 
0.8%
Other values (275) 323
81.6%
2024-03-14T09:07:19.196551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
12.6%
1 116
 
5.6%
시 90
 
4.4%
로 88
 
4.3%
산 77
 
3.7%
5 62
 
3.0%
3 61
 
3.0%
- 60
 
2.9%
군 55
 
2.7%
7 50
 
2.4%
Other values (169) 1139
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1196
58.1%
Decimal Number 530
25.8%
Space Separator 260
 
12.6%
Dash Punctuation 60
 
2.9%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 90
 
7.5%
로 88
 
7.4%
산 77
 
6.4%
군 55
 
4.6%
주 47
 
3.9%
읍 43
 
3.6%
면 41
 
3.4%
구 32
 
2.7%
전 31
 
2.6%
동 29
 
2.4%
Other values (155) 663
55.4%
Decimal Number
ValueCountFrequency (%)
1 116
21.9%
5 62
11.7%
3 61
11.5%
7 50
9.4%
2 50
9.4%
4 46
 
8.7%
6 44
 
8.3%
0 43
 
8.1%
8 31
 
5.8%
9 27
 
5.1%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1196
58.1%
Common 862
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 90
 
7.5%
로 88
 
7.4%
산 77
 
6.4%
군 55
 
4.6%
주 47
 
3.9%
읍 43
 
3.6%
면 41
 
3.4%
구 32
 
2.7%
전 31
 
2.6%
동 29
 
2.4%
Other values (155) 663
55.4%
Common
ValueCountFrequency (%)
260
30.2%
1 116
13.5%
5 62
 
7.2%
3 61
 
7.1%
- 60
 
7.0%
7 50
 
5.8%
2 50
 
5.8%
4 46
 
5.3%
6 44
 
5.1%
0 43
 
5.0%
Other values (4) 70
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1196
58.1%
ASCII 862
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
30.2%
1 116
13.5%
5 62
 
7.2%
3 61
 
7.1%
- 60
 
7.0%
7 50
 
5.8%
2 50
 
5.8%
4 46
 
5.3%
6 44
 
5.1%
0 43
 
5.0%
Other values (4) 70
 
8.1%
Hangul
ValueCountFrequency (%)
시 90
 
7.5%
로 88
 
7.4%
산 77
 
6.4%
군 55
 
4.6%
주 47
 
3.9%
읍 43
 
3.6%
면 41
 
3.4%
구 32
 
2.7%
전 31
 
2.6%
동 29
 
2.4%
Other values (155) 663
55.4%

연락처
Text

MISSING 

Distinct118
Distinct (%)88.1%
Missing2
Missing (%)1.5%
Memory size1.2 KiB
2024-03-14T09:07:19.475724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0074627
Min length8

Characters and Unicode

Total characters1073
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

Unique108 ?
Unique (%)80.6%

Sample

1st row239-2690
2nd row454-7954
3rd row859-3840
4th row539-6725
5th row632-5874
ValueCountFrequency (%)
859-3840 5
 
3.7%
239-2690 4
 
3.0%
290-2208 3
 
2.2%
836-4311 2
 
1.5%
560-8503 2
 
1.5%
842-4444 2
 
1.5%
454-7953 2
 
1.5%
632-5874 2
 
1.5%
539-6725 2
 
1.5%
320-4000 2
 
1.5%
Other values (108) 108
80.6%
2024-03-14T09:07:19.847332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 232
21.6%
- 134
12.5%
0 109
10.2%
5 106
9.9%
2 100
9.3%
3 98
9.1%
8 75
 
7.0%
6 72
 
6.7%
1 59
 
5.5%
9 51
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 939
87.5%
Dash Punctuation 134
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 232
24.7%
0 109
11.6%
5 106
11.3%
2 100
10.6%
3 98
10.4%
8 75
 
8.0%
6 72
 
7.7%
1 59
 
6.3%
9 51
 
5.4%
7 37
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1073
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 232
21.6%
- 134
12.5%
0 109
10.2%
5 106
9.9%
2 100
9.3%
3 98
9.1%
8 75
 
7.0%
6 72
 
6.7%
1 59
 
5.5%
9 51
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1073
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 232
21.6%
- 134
12.5%
0 109
10.2%
5 106
9.9%
2 100
9.3%
3 98
9.1%
8 75
 
7.0%
6 72
 
6.7%
1 59
 
5.5%
9 51
 
4.8%

Correlations

2024-03-14T09:07:19.937189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운영주체
구분1.0000.924
운영주체0.9241.000
2024-03-14T09:07:20.019560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운영주체
구분1.0000.618
운영주체0.6181.000
2024-03-14T09:07:20.091098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운영주체
구분1.0000.618
운영주체0.6181.000

Missing values

2024-03-14T09:07:17.442869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:07:17.513866image/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

구분시설명운영주체위치연락처
0화장시설전주승화원전주시설관리공단전주시 완산구 콩쥐팥쥐로 1705-138239-2690
1화장시설군산시승화원군산시군산시 임피면 보석리 401-5외 1필지454-7954
2화장시설익산시정수원익산시익산시 무왕로 1471-63859-3840
3화장시설서남권추모공원정읍시감곡면 정읍북로 1850539-6725
4화장시설남원시승화원남원시남원시 솔터길 40-36632-5874
5묘지효자공원전주시시설관리공단전주시완산구 콩쥐팥쥐로 1705-138239-2694
6묘지시립공원군산시군산시임피면 보석리 산22외454-7953
7묘지오식도공원민간위탁군산시오식도동 503-2454-7953
8묘지팔봉공설익산시익산시무왕로 1471-63859-3840
9묘지여산팔봉익산시익산시여산면 가람로 515-50859-5347
구분시설명운영주체위치연락처
126장례식장현대장례식장사립순창군순창읍 교성로 141-21653-4444
127장례식장순창요양병원장례식장사립순창군순창읍 순창로 105653-4123
128장례식장온누리장례식장사립순창군순창읍 남계로 14653-4482
129장례식장새고창장례식장사립고창군고창읍 고인돌대로 1763563-1001
130장례식장우리장례식장사립고창군고창읍 녹두로 1313-6564-3322
131장례식장고인돌장례식장사립고창군고창읍 녹두로 1295562-3223
132장례식장흥덕장례식장사립고창군흥덕면 고인돌대로 2582-7564-4440
133장례식장호남장례식장사립부안군행안면 부안로 2563581-1004
134장례식장혜성장례식장사립부안군부안읍 부령로 34584-4300
135장례식장효요양병원장례식장사립부안군행안면 염소로 25582-3939