Overview

Dataset statistics

Number of variables5
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory41.9 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description진안군 소재에 있는 종교 단체에 대한 데이터로 종교명(기독교, 천주교, 불교 등), 종교 단체명, 소재지 도로명주소 정보를 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15039264/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 21:03:13.299454
Analysis finished2024-03-14 21:03:14.274569
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.5
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T06:03:14.405571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.35
Q137.75
median74.5
Q3111.25
95-th percentile140.65
Maximum148
Range147
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation42.868014
Coefficient of variation (CV)0.57540959
Kurtosis-1.2
Mean74.5
Median Absolute Deviation (MAD)37
Skewness0
Sum11026
Variance1837.6667
MonotonicityStrictly increasing
2024-03-15T06:03:14.681476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (138) 138
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%

종교
Categorical

Distinct10
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
개신교
89 
불교
28 
원불교
 
8
불교(전통사찰)
 
6
기타(기도원)
 
6
Other values (5)
11 

Length

Max length8
Median length3
Mean length3.2567568
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
개신교 89
60.1%
불교 28
 
18.9%
원불교 8
 
5.4%
불교(전통사찰) 6
 
4.1%
기타(기도원) 6
 
4.1%
천주교 5
 
3.4%
기타 2
 
1.4%
기타(유교) 2
 
1.4%
기타(일관도) 1
 
0.7%
기타(수련원) 1
 
0.7%

Length

2024-03-15T06:03:15.034150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:03:15.414305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개신교 89
60.1%
불교 28
 
18.9%
원불교 8
 
5.4%
불교(전통사찰 6
 
4.1%
기타(기도원 6
 
4.1%
천주교 5
 
3.4%
기타 2
 
1.4%
기타(유교 2
 
1.4%
기타(일관도 1
 
0.7%
기타(수련원 1
 
0.7%
Distinct147
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T06:03:16.840543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length5.6891892
Min length3

Characters and Unicode

Total characters842
Distinct characters172
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

Unique146 ?
Unique (%)98.6%

Sample

1st row진안장로교회
2nd row진안제일교회
3rd row진안성결교회
4th row동부교회
5th row진안예수소망교회
ValueCountFrequency (%)
한국불교태고종 6
 
3.5%
대한불교조계종 4
 
2.4%
용담 3
 
1.8%
광명사 2
 
1.2%
산주교회 1
 
0.6%
송산교회 1
 
0.6%
임마누엘냉천수양관 1
 
0.6%
서머나교회수양관(상달 1
 
0.6%
마령교회 1
 
0.6%
마령소망교회 1
 
0.6%
Other values (149) 149
87.6%
2024-03-15T06:03:18.579944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
14.5%
96
 
11.4%
30
 
3.6%
22
 
2.6%
20
 
2.4%
16
 
1.9%
16
 
1.9%
15
 
1.8%
14
 
1.7%
14
 
1.7%
Other values (162) 477
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 816
96.9%
Space Separator 22
 
2.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
122
 
15.0%
96
 
11.8%
30
 
3.7%
20
 
2.5%
16
 
2.0%
16
 
2.0%
15
 
1.8%
14
 
1.7%
14
 
1.7%
13
 
1.6%
Other values (159) 460
56.4%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 816
96.9%
Common 26
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
122
 
15.0%
96
 
11.8%
30
 
3.7%
20
 
2.5%
16
 
2.0%
16
 
2.0%
15
 
1.8%
14
 
1.7%
14
 
1.7%
13
 
1.6%
Other values (159) 460
56.4%
Common
ValueCountFrequency (%)
22
84.6%
) 2
 
7.7%
( 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 816
96.9%
ASCII 26
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
122
 
15.0%
96
 
11.8%
30
 
3.7%
20
 
2.5%
16
 
2.0%
16
 
2.0%
15
 
1.8%
14
 
1.7%
14
 
1.7%
13
 
1.6%
Other values (159) 460
56.4%
ASCII
ValueCountFrequency (%)
22
84.6%
) 2
 
7.7%
( 2
 
7.7%

도로명주소
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T06:03:20.347120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length24.202703
Min length19

Characters and Unicode

Total characters3582
Distinct characters136
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

Unique148 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 진안군 진안읍 진용로 17
2nd row전북특별자치도 진안군 진안읍 진장로 31-8
3rd row전북특별자치도 진안군 진안읍 중연길 20-47
4th row전북특별자치도 진안군 진안읍 우화4길 26
5th row전북특별자치도 진안군 진안읍 진장로 72
ValueCountFrequency (%)
전북특별자치도 148
20.1%
진안군 148
20.1%
진안읍 42
 
5.7%
백운면 16
 
2.2%
성수면 16
 
2.2%
주천면 13
 
1.8%
부귀면 13
 
1.8%
마령면 13
 
1.8%
정천면 11
 
1.5%
동향면 9
 
1.2%
Other values (255) 309
41.9%
2024-03-15T06:03:22.699379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
 
16.6%
204
 
5.7%
199
 
5.6%
154
 
4.3%
149
 
4.2%
148
 
4.1%
148
 
4.1%
148
 
4.1%
148
 
4.1%
148
 
4.1%
Other values (126) 1542
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2417
67.5%
Space Separator 594
 
16.6%
Decimal Number 493
 
13.8%
Dash Punctuation 78
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
204
 
8.4%
199
 
8.2%
154
 
6.4%
149
 
6.2%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
Other values (114) 823
34.1%
Decimal Number
ValueCountFrequency (%)
1 103
20.9%
2 71
14.4%
3 64
13.0%
4 47
9.5%
6 43
8.7%
7 41
 
8.3%
0 40
 
8.1%
9 35
 
7.1%
5 27
 
5.5%
8 22
 
4.5%
Space Separator
ValueCountFrequency (%)
594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2417
67.5%
Common 1165
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
204
 
8.4%
199
 
8.2%
154
 
6.4%
149
 
6.2%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
Other values (114) 823
34.1%
Common
ValueCountFrequency (%)
594
51.0%
1 103
 
8.8%
- 78
 
6.7%
2 71
 
6.1%
3 64
 
5.5%
4 47
 
4.0%
6 43
 
3.7%
7 41
 
3.5%
0 40
 
3.4%
9 35
 
3.0%
Other values (2) 49
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2417
67.5%
ASCII 1165
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
51.0%
1 103
 
8.8%
- 78
 
6.7%
2 71
 
6.1%
3 64
 
5.5%
4 47
 
4.0%
6 43
 
3.7%
7 41
 
3.5%
0 40
 
3.4%
9 35
 
3.0%
Other values (2) 49
 
4.2%
Hangul
ValueCountFrequency (%)
204
 
8.4%
199
 
8.2%
154
 
6.4%
149
 
6.2%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
148
 
6.1%
Other values (114) 823
34.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-08-02 00:00:00
Maximum2023-08-02 00:00:00
2024-03-15T06:03:23.110281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:03:23.500739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T06:03:13.669012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:03:23.710907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교
연번1.0000.621
종교0.6211.000
2024-03-15T06:03:23.949721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교
연번1.0000.233
종교0.2331.000

Missing values

2024-03-15T06:03:14.039238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:03:14.207154image/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

연번종교종교단체명도로명주소데이터기준일자
01개신교진안장로교회전북특별자치도 진안군 진안읍 진용로 172023-08-02
12개신교진안제일교회전북특별자치도 진안군 진안읍 진장로 31-82023-08-02
23개신교진안성결교회전북특별자치도 진안군 진안읍 중연길 20-472023-08-02
34개신교동부교회전북특별자치도 진안군 진안읍 우화4길 262023-08-02
45개신교진안예수소망교회전북특별자치도 진안군 진안읍 진장로 722023-08-02
56개신교진안사랑의교회전북특별자치도 진안군 진안읍 대괭이길 40-572023-08-02
67개신교기독교대한감리회진안교회전북특별자치도 진안군 진안읍 중앙로 232023-08-02
78개신교대한예수교침례회진안교회전북특별자치도 진안군 진안읍 대광3길 142023-08-02
89개신교상전교회전북특별자치도 진안군 진안읍 언건1길 5-162023-08-02
910개신교유산교회전북특별자치도 진안군 진안읍 유산길 18-62023-08-02
연번종교종교단체명도로명주소데이터기준일자
138139개신교영광교회전북특별자치도 진안군 주천면 어자길 1522023-08-02
139140개신교대광교회전북특별자치도 진안군 주천면 중리길 442023-08-02
140141개신교성도교회전북특별자치도 진안군 주천면 개화동1길 232023-08-02
141142개신교성운교회전북특별자치도 진안군 주천면 동상주천로 11342023-08-02
142143개신교송죽교회전북특별자치도 진안군 주천면 요골길 382023-08-02
143144개신교시내산교회전북특별자치도 진안군 주천면 정주천로 521-362023-08-02
144145불교영불사전북특별자치도 진안군 주천면 동상주천로 1845-172023-08-02
145146불교대불사전북특별자치도 진안군 주천면 학선동길 8-202023-08-02
146147원불교원불교주천교당전북특별자치도 진안군 주천면 동상주천로 22592023-08-02
147148기타(기도원)샬롬수양관전북특별자치도 진안군 주천면 동상주천로 1806-482023-08-02