Overview

Dataset statistics

Number of variables5
Number of observations128
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description강진군에 있는 종교에 대한 종류와 주소,전화번호(개인정보보호법에 따라 시설내 전화번호가 없으면 000-000-0000으로 처리)가 있는 데이터입니다.
URLhttps://www.data.go.kr/data/15121119/fileData.do

Alerts

연번 is highly overall correlated with 종교구분High correlation
종교구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:53:54.095860
Analysis finished2023-12-11 22:53:54.521094
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T07:53:54.593077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q132.75
median64.5
Q396.25
95-th percentile121.65
Maximum128
Range127
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation37.094474
Coefficient of variation (CV)0.57510812
Kurtosis-1.2
Mean64.5
Median Absolute Deviation (MAD)32
Skewness0
Sum8256
Variance1376
MonotonicityStrictly increasing
2023-12-12T07:53:54.712940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
66 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%

시설명
Text

Distinct126
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T07:53:54.963526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.6484375
Min length3

Characters and Unicode

Total characters595
Distinct characters138
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)96.9%

Sample

1st row강진감리교회
2nd row강진제일교회
3rd row옥토성결교회
4th row아름다운교회
5th row강진읍교회
ValueCountFrequency (%)
예수소망교회 2
 
1.6%
한림교회 2
 
1.6%
내기교회 1
 
0.8%
신전교회 1
 
0.8%
강진감리교회 1
 
0.8%
강장법단 1
 
0.8%
옥련사 1
 
0.8%
신흥사 1
 
0.8%
고성사 1
 
0.8%
옴천중앙교회 1
 
0.8%
Other values (116) 116
90.6%
2023-12-12T07:53:55.323776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 94
 
15.8%
회 93
 
15.6%
사 37
 
6.2%
강 16
 
2.7%
진 16
 
2.7%
성 15
 
2.5%
중 11
 
1.8%
전 10
 
1.7%
앙 10
 
1.7%
천 9
 
1.5%
Other values (128) 284
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 94
 
15.8%
회 93
 
15.6%
사 37
 
6.2%
강 16
 
2.7%
진 16
 
2.7%
성 15
 
2.5%
중 11
 
1.8%
전 10
 
1.7%
앙 10
 
1.7%
천 9
 
1.5%
Other values (128) 284
47.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 595
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 94
 
15.8%
회 93
 
15.6%
사 37
 
6.2%
강 16
 
2.7%
진 16
 
2.7%
성 15
 
2.5%
중 11
 
1.8%
전 10
 
1.7%
앙 10
 
1.7%
천 9
 
1.5%
Other values (128) 284
47.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 595
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 94
 
15.8%
회 93
 
15.6%
사 37
 
6.2%
강 16
 
2.7%
진 16
 
2.7%
성 15
 
2.5%
중 11
 
1.8%
전 10
 
1.7%
앙 10
 
1.7%
천 9
 
1.5%
Other values (128) 284
47.7%

주소
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T07:53:55.646294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.835938
Min length8

Characters and Unicode

Total characters1515
Distinct characters126
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

Unique128 ?
Unique (%)100.0%

Sample

1st row강진읍 목화길 36-1
2nd row강진읍 중앙로 81
3rd row강진읍 종합운동장길 59
4th row강진읍 연지길 38-1
5th row강진읍 연지길 12
ValueCountFrequency (%)
강진읍 40
 
10.5%
군동면 18
 
4.7%
성전면 15
 
3.9%
도암면 10
 
2.6%
병영면 9
 
2.4%
칠량면 9
 
2.4%
신전면 8
 
2.1%
청자로 5
 
1.3%
마량면 5
 
1.3%
대구면 5
 
1.3%
Other values (220) 256
67.4%
2023-12-12T07:53:56.018585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
256
 
16.9%
면 87
 
5.7%
1 84
 
5.5%
길 75
 
5.0%
2 59
 
3.9%
- 47
 
3.1%
로 47
 
3.1%
3 47
 
3.1%
강 44
 
2.9%
5 43
 
2.8%
Other values (116) 726
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 835
55.1%
Decimal Number 375
24.8%
Space Separator 256
 
16.9%
Dash Punctuation 47
 
3.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 87
 
10.4%
길 75
 
9.0%
로 47
 
5.6%
강 44
 
5.3%
진 42
 
5.0%
읍 41
 
4.9%
동 34
 
4.1%
전 29
 
3.5%
성 22
 
2.6%
군 21
 
2.5%
Other values (102) 393
47.1%
Decimal Number
ValueCountFrequency (%)
1 84
22.4%
2 59
15.7%
3 47
12.5%
5 43
11.5%
4 30
 
8.0%
6 28
 
7.5%
0 22
 
5.9%
9 21
 
5.6%
8 21
 
5.6%
7 20
 
5.3%
Space Separator
ValueCountFrequency (%)
256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 835
55.1%
Common 680
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 87
 
10.4%
길 75
 
9.0%
로 47
 
5.6%
강 44
 
5.3%
진 42
 
5.0%
읍 41
 
4.9%
동 34
 
4.1%
전 29
 
3.5%
성 22
 
2.6%
군 21
 
2.5%
Other values (102) 393
47.1%
Common
ValueCountFrequency (%)
256
37.6%
1 84
 
12.4%
2 59
 
8.7%
- 47
 
6.9%
3 47
 
6.9%
5 43
 
6.3%
4 30
 
4.4%
6 28
 
4.1%
0 22
 
3.2%
9 21
 
3.1%
Other values (4) 43
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 835
55.1%
ASCII 680
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
256
37.6%
1 84
 
12.4%
2 59
 
8.7%
- 47
 
6.9%
3 47
 
6.9%
5 43
 
6.3%
4 30
 
4.4%
6 28
 
4.1%
0 22
 
3.2%
9 21
 
3.1%
Other values (4) 43
 
6.3%
Hangul
ValueCountFrequency (%)
면 87
 
10.4%
길 75
 
9.0%
로 47
 
5.6%
강 44
 
5.3%
진 42
 
5.0%
읍 41
 
4.9%
동 34
 
4.1%
전 29
 
3.5%
성 22
 
2.6%
군 21
 
2.5%
Other values (102) 393
47.1%

전화번호
Text

Distinct90
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T07:53:56.278499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.046875
Min length12

Characters and Unicode

Total characters1542
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

Unique88 ?
Unique (%)68.8%

Sample

1st row061-434-9106
2nd row061-434-0675
3rd row061-434-6757
4th row061-434-1733
5th row061-433-8002
ValueCountFrequency (%)
000-000-0000 33
25.8%
061-000-0000 7
 
5.5%
061-433-6460 1
 
0.8%
061-432-3759 1
 
0.8%
061-433-7151 1
 
0.8%
061-433-5488 1
 
0.8%
061-433-3407 1
 
0.8%
061-434-3956 1
 
0.8%
061-434-4870 1
 
0.8%
061-434-2296 1
 
0.8%
Other values (80) 80
62.5%
2023-12-12T07:53:56.668221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 522
33.9%
- 256
16.6%
3 150
 
9.7%
4 146
 
9.5%
1 132
 
8.6%
6 124
 
8.0%
2 77
 
5.0%
5 41
 
2.7%
7 37
 
2.4%
8 29
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1286
83.4%
Dash Punctuation 256
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 522
40.6%
3 150
 
11.7%
4 146
 
11.4%
1 132
 
10.3%
6 124
 
9.6%
2 77
 
6.0%
5 41
 
3.2%
7 37
 
2.9%
8 29
 
2.3%
9 28
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1542
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 522
33.9%
- 256
16.6%
3 150
 
9.7%
4 146
 
9.5%
1 132
 
8.6%
6 124
 
8.0%
2 77
 
5.0%
5 41
 
2.7%
7 37
 
2.4%
8 29
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 522
33.9%
- 256
16.6%
3 150
 
9.7%
4 146
 
9.5%
1 132
 
8.6%
6 124
 
8.0%
2 77
 
5.0%
5 41
 
2.7%
7 37
 
2.4%
8 29
 
1.9%

종교구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기독교
92 
불교
32 
천주교
 
3
원불교
 
1

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 92
71.9%
불교 32
 
25.0%
천주교 3
 
2.3%
원불교 1
 
0.8%

Length

2023-12-12T07:53:56.808254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:53:56.898676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 92
71.9%
불교 32
 
25.0%
천주교 3
 
2.3%
원불교 1
 
0.8%

Interactions

2023-12-12T07:53:54.307793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:53:56.960221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호종교구분
연번1.0000.7070.761
전화번호0.7071.0000.960
종교구분0.7610.9601.000
2023-12-12T07:53:57.041604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.558
종교구분0.5581.000

Missing values

2023-12-12T07:53:54.397116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:53:54.480528image/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

연번시설명주소전화번호종교구분
01강진감리교회강진읍 목화길 36-1061-434-9106기독교
12강진제일교회강진읍 중앙로 81061-434-0675기독교
23옥토성결교회강진읍 종합운동장길 59061-434-6757기독교
34아름다운교회강진읍 연지길 38-1061-434-1733기독교
45강진읍교회강진읍 연지길 12061-433-8002기독교
56강진동문교회강진읍 향교로 50-5061-433-8007기독교
67서산교회강진읍 지전월남길 215061-432-8454기독교
78영파교회강진읍 영파길 49061-432-8257기독교
89지전중앙교회강진읍 지전로안길 103000-000-0000기독교
910서문안교회강진읍 서성리(강진고옆)000-000-0000기독교
연번시설명주소전화번호종교구분
118119수지사성전면 사문로 98061-000-0000불교
119120연화사병영면 동삼인안길 61061-433-6621불교
120121다성사병영면 남삼인길 26-8061-433-6512불교
121122수인사병연면 수인산길 194061-432-1534불교
122123해원사병영면 장강로 157061-000-0000불교
123124옴천사옴천면 장강로 1445-14061-433-2233불교
124125강진성당강진읍 평동2길 21061-432-8884천주교
125126성전성당성전면 별뫼로 335061-432-7863천주교
126127신전성당신전면 백도로 1517061-000-0000천주교
127128원불교강진읍 남문길 17-1061-434-0815원불교