Overview

Dataset statistics

Number of variables5
Number of observations174
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description본 공공데이터는 전라남도 완도군내 종교시설현황 정보를 제공하는 공공데이터로 종료(사차, 절, 교회, 성당), 시설명, 주소, 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15117505/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종교구분 is highly imbalanced (59.8%)Imbalance
연번 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:01:22.968688
Analysis finished2023-12-13 00:01:23.377179
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct174
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.5
Minimum1
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T09:01:23.443682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.65
Q144.25
median87.5
Q3130.75
95-th percentile165.35
Maximum174
Range173
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation50.373604
Coefficient of variation (CV)0.57569833
Kurtosis-1.2
Mean87.5
Median Absolute Deviation (MAD)43.5
Skewness0
Sum15225
Variance2537.5
MonotonicityStrictly increasing
2023-12-13T09:01:23.565599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
121 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
Other values (164) 164
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%

종교구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
기독교
143 
불교
20 
천주교
 
6
기타
 
3
원불교
 
2

Length

Max length3
Median length3
Mean length2.8678161
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 143
82.2%
불교 20
 
11.5%
천주교 6
 
3.4%
기타 3
 
1.7%
원불교 2
 
1.1%

Length

2023-12-13T09:01:23.696203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:01:23.815356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 143
82.2%
불교 20
 
11.5%
천주교 6
 
3.4%
기타 3
 
1.7%
원불교 2
 
1.1%

시설명
Text

Distinct172
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T09:01:24.044872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.862069
Min length3

Characters and Unicode

Total characters1020
Distinct characters182
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

Unique170 ?
Unique (%)97.7%

Sample

1st row순복음아름다운교회
2nd row청해진교회
3rd row하늘단비교회
4th row서부순복음교회
5th row대신교회
ValueCountFrequency (%)
대한예수교장로회 3
 
1.5%
완도성당 3
 
1.5%
대한불교조계종 2
 
1.0%
완도교회 2
 
1.0%
원불교 2
 
1.0%
주사랑교회 2
 
1.0%
예닮교회 1
 
0.5%
약산사 1
 
0.5%
고금동부교회 1
 
0.5%
고금상정교회 1
 
0.5%
Other values (177) 177
90.8%
2023-12-13T09:01:24.387600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 161
 
15.8%
회 149
 
14.6%
도 33
 
3.2%
24
 
2.4%
동 22
 
2.2%
사 21
 
2.1%
산 20
 
2.0%
소 20
 
2.0%
금 18
 
1.8%
일 16
 
1.6%
Other values (172) 536
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 992
97.3%
Space Separator 24
 
2.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 161
 
16.2%
회 149
 
15.0%
도 33
 
3.3%
동 22
 
2.2%
사 21
 
2.1%
산 20
 
2.0%
소 20
 
2.0%
금 18
 
1.8%
일 16
 
1.6%
완 16
 
1.6%
Other values (169) 516
52.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 992
97.3%
Common 28
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 161
 
16.2%
회 149
 
15.0%
도 33
 
3.3%
동 22
 
2.2%
사 21
 
2.1%
산 20
 
2.0%
소 20
 
2.0%
금 18
 
1.8%
일 16
 
1.6%
완 16
 
1.6%
Other values (169) 516
52.0%
Common
ValueCountFrequency (%)
24
85.7%
) 2
 
7.1%
( 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 992
97.3%
ASCII 28
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 161
 
16.2%
회 149
 
15.0%
도 33
 
3.3%
동 22
 
2.2%
사 21
 
2.1%
산 20
 
2.0%
소 20
 
2.0%
금 18
 
1.8%
일 16
 
1.6%
완 16
 
1.6%
Other values (169) 516
52.0%
ASCII
ValueCountFrequency (%)
24
85.7%
) 2
 
7.1%
( 2
 
7.1%

도로명주소
Text

UNIQUE 

Distinct174
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T09:01:24.734426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length19.735632
Min length11

Characters and Unicode

Total characters3434
Distinct characters131
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

Unique174 ?
Unique (%)100.0%

Sample

1st row전남 완도군 완도읍 장보고대로42번길 137
2nd row전남 완도군 완도읍 대야1구2길 12
3rd row전남 완도군 완도읍 청해진남로 66
4th row전남 완도군 완도읍 청해진서로 459
5th row전남 완도군 완도읍 대신2길 6-32
ValueCountFrequency (%)
전남 174
20.1%
완도군 174
20.1%
완도읍 34
 
3.9%
군외면 19
 
2.2%
금일읍 19
 
2.2%
노화읍 16
 
1.8%
신지면 14
 
1.6%
소안면 13
 
1.5%
약산면 12
 
1.4%
고금면 11
 
1.3%
Other values (289) 380
43.9%
2023-12-13T09:01:25.143954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
693
20.2%
도 230
 
6.7%
완 208
 
6.1%
군 197
 
5.7%
남 179
 
5.2%
전 174
 
5.1%
1 163
 
4.7%
길 117
 
3.4%
면 99
 
2.9%
2 97
 
2.8%
Other values (121) 1277
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2043
59.5%
Space Separator 693
 
20.2%
Decimal Number 624
 
18.2%
Dash Punctuation 72
 
2.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 230
 
11.3%
완 208
 
10.2%
군 197
 
9.6%
남 179
 
8.8%
전 174
 
8.5%
길 117
 
5.7%
면 99
 
4.8%
로 73
 
3.6%
읍 70
 
3.4%
금 53
 
2.6%
Other values (108) 643
31.5%
Decimal Number
ValueCountFrequency (%)
1 163
26.1%
2 97
15.5%
3 69
11.1%
5 55
 
8.8%
4 54
 
8.7%
6 48
 
7.7%
0 42
 
6.7%
8 36
 
5.8%
7 34
 
5.4%
9 26
 
4.2%
Space Separator
ValueCountFrequency (%)
693
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2043
59.5%
Common 1391
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 230
 
11.3%
완 208
 
10.2%
군 197
 
9.6%
남 179
 
8.8%
전 174
 
8.5%
길 117
 
5.7%
면 99
 
4.8%
로 73
 
3.6%
읍 70
 
3.4%
금 53
 
2.6%
Other values (108) 643
31.5%
Common
ValueCountFrequency (%)
693
49.8%
1 163
 
11.7%
2 97
 
7.0%
- 72
 
5.2%
3 69
 
5.0%
5 55
 
4.0%
4 54
 
3.9%
6 48
 
3.5%
0 42
 
3.0%
8 36
 
2.6%
Other values (3) 62
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2043
59.5%
ASCII 1391
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
693
49.8%
1 163
 
11.7%
2 97
 
7.0%
- 72
 
5.2%
3 69
 
5.0%
5 55
 
4.0%
4 54
 
3.9%
6 48
 
3.5%
0 42
 
3.0%
8 36
 
2.6%
Other values (3) 62
 
4.5%
Hangul
ValueCountFrequency (%)
도 230
 
11.3%
완 208
 
10.2%
군 197
 
9.6%
남 179
 
8.8%
전 174
 
8.5%
길 117
 
5.7%
면 99
 
4.8%
로 73
 
3.6%
읍 70
 
3.4%
금 53
 
2.6%
Other values (108) 643
31.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-07-12 00:00:00
Maximum2023-07-12 00:00:00
2023-12-13T09:01:25.231717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:01:25.304097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T09:01:23.171737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:01:25.355359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.000
종교구분0.0001.000
2023-12-13T09:01:25.418530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.000
종교구분0.0001.000

Missing values

2023-12-13T09:01:23.269093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:01:23.345772image/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

연번종교구분시설명도로명주소데이터기준일자
01기독교순복음아름다운교회전남 완도군 완도읍 장보고대로42번길 1372023-07-12
12기독교청해진교회전남 완도군 완도읍 대야1구2길 122023-07-12
23기독교하늘단비교회전남 완도군 완도읍 청해진남로 662023-07-12
34기독교서부순복음교회전남 완도군 완도읍 청해진서로 4592023-07-12
45기독교대신교회전남 완도군 완도읍 대신2길 6-322023-07-12
56기독교은평교회전남 완도군 완도읍 정도길 41-602023-07-12
67기독교완도중앙교회전남 완도군 완도읍 개포로145번길 262023-07-12
78기독교완도개포교회전남 완도군 완도읍 개포로 137-242023-07-12
89기독교화흥교회전남 완도군 완도읍 청해진서로 823-172023-07-12
910기독교완도장로교회전남 완도군 완도읍 개포로135번길 222023-07-12
연번종교구분시설명도로명주소데이터기준일자
164165기독교동광교회전남 완도군 보길면 보옥길 72023-07-12
165166기독교보길동부교회전남 완도군 보길면 중리길 12023-07-12
166167기독교보길정자교회전남 완도군 보길면 정자길 10-12023-07-12
167168기독교보길예송교회전남 완도군 보길면 예송리 385-32023-07-12
168169기독교남은사전남 완도군 보길면 부황2길 552023-07-12
169170기독교생령교회전남 완도군 생일면 유서리 6482023-07-12
170171기독교금곡교회전남 완도군 생일면 금곡1길 30-362023-07-12
171172기독교봉선교회전남 완도군 생일면 용출길 39-12023-07-12
172173기독교덕우도교회전남 완도군 생일면 덕우도길 22-12023-07-12
173174불교대한불교조계종 학서암전남 완도군 생일면 생일로 601번길 23-2302023-07-12