Overview

Dataset statistics

Number of variables7
Number of observations156
Missing cells9
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory56.8 B

Variable types

Categorical4
Text3

Dataset

Description전라남도 영광군의 종교시설 현황 데이터로 구분, 시설명, 소재지(도로명주소), 연락처, 비고, 기타 유의사항이 포함되어 있습니다.
URLhttps://www.data.go.kr/data/15117842/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
기타 유의사항 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
비 고 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 비 고 and 1 other fieldsHigh correlation
비 고 is highly imbalanced (53.6%)Imbalance
기타 유의사항 is highly imbalanced (78.5%)Imbalance
연락처 has 9 (5.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:16:31.215124
Analysis finished2023-12-12 17:16:31.800509
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기독교
103 
불교
48 
천주교
 
5

Length

Max length3
Median length3
Mean length2.6923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 103
66.0%
불교 48
30.8%
천주교 5
 
3.2%

Length

2023-12-13T02:16:31.886509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:31.994756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 103
66.0%
불교 48
30.8%
천주교 5
 
3.2%

시설명
Text

Distinct143
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T02:16:32.310907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.4871795
Min length3

Characters and Unicode

Total characters700
Distinct characters153
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

Unique135 ?
Unique (%)86.5%

Sample

1st row대한예수교침례회영광교회
2nd row덕호교회
3rd row반석교회
4th row사랑방교회
5th row붕있는교회
ValueCountFrequency (%)
동부교회 4
 
2.5%
중앙교회 3
 
1.9%
반석교회 3
 
1.9%
제일교회 3
 
1.9%
새생명교회 2
 
1.3%
서부교회 2
 
1.3%
한마음교회 2
 
1.3%
남부교회 2
 
1.3%
신흥교당 1
 
0.6%
군남교당 1
 
0.6%
Other values (135) 135
85.4%
2023-12-13T02:16:32.737365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 124
 
17.7%
회 104
 
14.9%
사 27
 
3.9%
영 19
 
2.7%
당 15
 
2.1%
광 14
 
2.0%
성 14
 
2.0%
부 11
 
1.6%
수 10
 
1.4%
중 9
 
1.3%
Other values (143) 353
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 696
99.4%
Space Separator 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 124
 
17.8%
회 104
 
14.9%
사 27
 
3.9%
영 19
 
2.7%
당 15
 
2.2%
광 14
 
2.0%
성 14
 
2.0%
부 11
 
1.6%
수 10
 
1.4%
중 9
 
1.3%
Other values (140) 349
50.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 696
99.4%
Common 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 124
 
17.8%
회 104
 
14.9%
사 27
 
3.9%
영 19
 
2.7%
당 15
 
2.2%
광 14
 
2.0%
성 14
 
2.0%
부 11
 
1.6%
수 10
 
1.4%
중 9
 
1.3%
Other values (140) 349
50.1%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 696
99.4%
ASCII 4
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 124
 
17.8%
회 104
 
14.9%
사 27
 
3.9%
영 19
 
2.7%
당 15
 
2.2%
광 14
 
2.0%
성 14
 
2.0%
부 11
 
1.6%
수 10
 
1.4%
중 9
 
1.3%
Other values (140) 349
50.1%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

도로명주소
Text

Distinct153
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T02:16:33.140001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.897436
Min length18

Characters and Unicode

Total characters3416
Distinct characters114
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

Unique151 ?
Unique (%)96.8%

Sample

1st row전라남도 영광군 영광읍 대하길4길 9-15
2nd row전라남도 영광군 영광읍 덕호로 249-11
3rd row전라남도 영광군 영광읍 향교길1길 13
4th row전라남도 영광군 영광읍 신월로 31-40
5th row전라남도 영광군 영광읍 신하리 818-6
ValueCountFrequency (%)
전라남도 156
20.0%
영광군 156
20.0%
영광읍 40
 
5.1%
법성면 19
 
2.4%
홍농읍 17
 
2.2%
백수읍 16
 
2.0%
염산면 15
 
1.9%
불갑면 11
 
1.4%
군남면 10
 
1.3%
군서면 8
 
1.0%
Other values (264) 333
42.6%
2023-12-13T02:16:33.647572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
644
18.9%
영 203
 
5.9%
광 197
 
5.8%
군 177
 
5.2%
남 172
 
5.0%
전 156
 
4.6%
도 156
 
4.6%
라 156
 
4.6%
1 120
 
3.5%
로 110
 
3.2%
Other values (104) 1325
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2117
62.0%
Space Separator 644
 
18.9%
Decimal Number 570
 
16.7%
Dash Punctuation 82
 
2.4%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 203
 
9.6%
광 197
 
9.3%
군 177
 
8.4%
남 172
 
8.1%
전 156
 
7.4%
도 156
 
7.4%
라 156
 
7.4%
로 110
 
5.2%
길 98
 
4.6%
면 83
 
3.9%
Other values (91) 609
28.8%
Decimal Number
ValueCountFrequency (%)
1 120
21.1%
2 71
12.5%
3 70
12.3%
5 62
10.9%
4 53
9.3%
6 45
 
7.9%
7 43
 
7.5%
9 42
 
7.4%
0 40
 
7.0%
8 24
 
4.2%
Space Separator
ValueCountFrequency (%)
644
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2117
62.0%
Common 1299
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 203
 
9.6%
광 197
 
9.3%
군 177
 
8.4%
남 172
 
8.1%
전 156
 
7.4%
도 156
 
7.4%
라 156
 
7.4%
로 110
 
5.2%
길 98
 
4.6%
면 83
 
3.9%
Other values (91) 609
28.8%
Common
ValueCountFrequency (%)
644
49.6%
1 120
 
9.2%
- 82
 
6.3%
2 71
 
5.5%
3 70
 
5.4%
5 62
 
4.8%
4 53
 
4.1%
6 45
 
3.5%
7 43
 
3.3%
9 42
 
3.2%
Other values (3) 67
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2117
62.0%
ASCII 1299
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
644
49.6%
1 120
 
9.2%
- 82
 
6.3%
2 71
 
5.5%
3 70
 
5.4%
5 62
 
4.8%
4 53
 
4.1%
6 45
 
3.5%
7 43
 
3.3%
9 42
 
3.2%
Other values (3) 67
 
5.2%
Hangul
ValueCountFrequency (%)
영 203
 
9.6%
광 197
 
9.3%
군 177
 
8.4%
남 172
 
8.1%
전 156
 
7.4%
도 156
 
7.4%
라 156
 
7.4%
로 110
 
5.2%
길 98
 
4.6%
면 83
 
3.9%
Other values (91) 609
28.8%

연락처
Text

MISSING 

Distinct147
Distinct (%)100.0%
Missing9
Missing (%)5.8%
Memory size1.3 KiB
2023-12-13T02:16:33.960377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.095238
Min length12

Characters and Unicode

Total characters1778
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)100.0%

Sample

1st row061-351-6169
2nd row061-353-3069
3rd row061-351-0191
4th row061-353-2413
5th row061-353-9135
ValueCountFrequency (%)
061-353-0711 1
 
0.7%
061-351-2276 1
 
0.7%
061-356-1105 1
 
0.7%
061-352-3233 1
 
0.7%
061-352-3287 1
 
0.7%
061-353-6365 1
 
0.7%
061-352-3404 1
 
0.7%
061-352-7381 1
 
0.7%
061-352-6343 1
 
0.7%
061-356-4088 1
 
0.7%
Other values (139) 139
93.3%
2023-12-13T02:16:34.439013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 294
16.5%
3 251
14.1%
6 232
13.0%
0 227
12.8%
1 218
12.3%
5 203
11.4%
2 121
6.8%
4 67
 
3.8%
7 60
 
3.4%
8 53
 
3.0%
Other values (3) 52
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1479
83.2%
Dash Punctuation 294
 
16.5%
Space Separator 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 251
17.0%
6 232
15.7%
0 227
15.3%
1 218
14.7%
5 203
13.7%
2 121
8.2%
4 67
 
4.5%
7 60
 
4.1%
8 53
 
3.6%
9 47
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 294
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1778
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 294
16.5%
3 251
14.1%
6 232
13.0%
0 227
12.8%
1 218
12.3%
5 203
11.4%
2 121
6.8%
4 67
 
3.8%
7 60
 
3.4%
8 53
 
3.0%
Other values (3) 52
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 294
16.5%
3 251
14.1%
6 232
13.0%
0 227
12.8%
1 218
12.3%
5 203
11.4%
2 121
6.8%
4 67
 
3.8%
7 60
 
3.4%
8 53
 
3.0%
Other values (3) 52
 
2.9%

비 고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
109 
원불교
15 
조계종
13 
태고종
 
6
선각종
 
3
Other values (8)
 
10

Length

Max length9
Median length4
Mean length3.7435897
Min length3

Unique

Unique6 ?
Unique (%)3.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 109
69.9%
원불교 15
 
9.6%
조계종 13
 
8.3%
태고종 6
 
3.8%
선각종 3
 
1.9%
미타종 2
 
1.3%
법화종 2
 
1.3%
포교당 1
 
0.6%
관음종 1
 
0.6%
호국불교, 조계종 1
 
0.6%
Other values (3) 3
 
1.9%

Length

2023-12-13T02:16:34.589944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 109
69.4%
원불교 15
 
9.6%
조계종 14
 
8.9%
태고종 6
 
3.8%
선각종 3
 
1.9%
미타종 2
 
1.3%
법화종 2
 
1.3%
호국불교 2
 
1.3%
포교당 1
 
0.6%
관음종 1
 
0.6%
Other values (2) 2
 
1.3%

기타 유의사항
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
148 
연락처없음
 
5
연락처 없음
 
3

Length

Max length6
Median length4
Mean length4.0705128
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 148
94.9%
연락처없음 5
 
3.2%
연락처 없음 3
 
1.9%

Length

2023-12-13T02:16:34.745659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:34.972960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
93.1%
연락처없음 5
 
3.1%
연락처 3
 
1.9%
없음 3
 
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2021-02-02
156 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-02
2nd row2021-02-02
3rd row2021-02-02
4th row2021-02-02
5th row2021-02-02

Common Values

ValueCountFrequency (%)
2021-02-02 156
100.0%

Length

2023-12-13T02:16:35.088539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:35.186400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-02 156
100.0%

Correlations

2023-12-13T02:16:35.270091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비 고기타 유의사항
구분1.000NaN0.881
비 고NaN1.000NaN
기타 유의사항0.881NaN1.000
2023-12-13T02:16:35.370528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타 유의사항비 고구분
기타 유의사항1.0001.0000.679
비 고1.0001.0001.000
구분0.6791.0001.000
2023-12-13T02:16:35.455595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비 고기타 유의사항
구분1.0001.0000.679
비 고1.0001.0001.000
기타 유의사항0.6791.0001.000

Missing values

2023-12-13T02:16:31.583596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:16:31.739439image/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

구분시설명도로명주소연락처비 고기타 유의사항데이터기준일자
0기독교대한예수교침례회영광교회전라남도 영광군 영광읍 대하길4길 9-15061-351-6169<NA><NA>2021-02-02
1기독교덕호교회전라남도 영광군 영광읍 덕호로 249-11061-353-3069<NA><NA>2021-02-02
2기독교반석교회전라남도 영광군 영광읍 향교길1길 13061-351-0191<NA><NA>2021-02-02
3기독교사랑방교회전라남도 영광군 영광읍 신월로 31-40061-353-2413<NA><NA>2021-02-02
4기독교붕있는교회전라남도 영광군 영광읍 신하리 818-6061-353-9135<NA><NA>2021-02-02
5기독교소망교회전라남도 영광군 영광읍 청보리로5길 3061-353-2004<NA><NA>2021-02-02
6기독교순복음영광교회전라남도 영광군 영광읍 천년로13길 57-5061-353-3541<NA><NA>2021-02-02
7기독교여호와증언의왕국위회관전라남도 영광군 영광읍 신남로1길 64-9061-353-8620<NA><NA>2021-02-02
8기독교영광대교회전라남도 영광군 영광읍 물무로3길 7061-353-3411<NA><NA>2021-02-02
9기독교영광교회전라남도 영광군 영광읍 중앙로 145-11061-353-7071<NA><NA>2021-02-02
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