Overview

Dataset statistics

Number of variables7
Number of observations119
Missing cells22
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory58.1 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description삼척시 종교단체(시설)현황입니다.(종교단체, 주소, 연락처 등) 신규 자료 현행화하여 파일데이터 종교단체(시설)현황 등록
URLhttps://www.data.go.kr/data/15062891/fileData.do

Alerts

종단_교단 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연락처 has 22 (18.5%) missing valuesMissing
연번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:03:01.102059
Analysis finished2023-12-12 19:03:04.652388
Duration3.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T04:03:04.790649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2023-12-13T04:03:05.037359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
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 (%)
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기독교
83 
불교
32 
천주교
 
4

Length

Max length3
Median length3
Mean length2.7310924
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 83
69.7%
불교 32
 
26.9%
천주교 4
 
3.4%

Length

2023-12-13T04:03:05.259787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:03:05.441255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 83
69.7%
불교 32
 
26.9%
천주교 4
 
3.4%

종단_교단
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
감리교
25 
장로교
21 
조계종
14 
<NA>
11 
개신교
9 
Other values (25)
39 

Length

Max length12
Median length3
Mean length3.7647059
Min length3

Unique

Unique17 ?
Unique (%)14.3%

Sample

1st row천태종
2nd row조계종
3rd row조계종
4th row천태종
5th row조계종

Common Values

ValueCountFrequency (%)
감리교 25
21.0%
장로교 21
17.6%
조계종 14
11.8%
<NA> 11
9.2%
개신교 9
 
7.6%
침례교 5
 
4.2%
대한예수교장로회합동교단 3
 
2.5%
천태종 3
 
2.5%
태고종 3
 
2.5%
순복음교 2
 
1.7%
Other values (20) 23
19.3%

Length

2023-12-13T04:03:05.676465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
감리교 25
20.8%
장로교 21
17.5%
조계종 14
11.7%
na 11
9.2%
개신교 9
 
7.5%
침례교 5
 
4.2%
대한예수교장로회합동교단 3
 
2.5%
천태종 3
 
2.5%
태고종 3
 
2.5%
법화종 2
 
1.7%
Other values (21) 24
20.0%

사찰_교회(명)
Text

Distinct118
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T04:03:06.118014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.1596639
Min length3

Characters and Unicode

Total characters614
Distinct characters146
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)98.3%

Sample

1st row삼산사
2nd row삼장사
3rd row감로사
4th row영락사
5th row도덕정사
ValueCountFrequency (%)
삼척교회 2
 
1.6%
광동교회 1
 
0.8%
필그림수양관 1
 
0.8%
문암교회 1
 
0.8%
도계예수재림교회 1
 
0.8%
용화교회 1
 
0.8%
하가교회 1
 
0.8%
감사장로교회 1
 
0.8%
기곡교회 1
 
0.8%
임원교회 1
 
0.8%
Other values (113) 113
91.1%
2023-12-13T04:03:06.887325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 86
 
14.0%
회 82
 
13.4%
사 33
 
5.4%
감 14
 
2.3%
리 14
 
2.3%
로 14
 
2.3%
장 13
 
2.1%
도 13
 
2.1%
삼 12
 
2.0%
성 11
 
1.8%
Other values (136) 322
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 609
99.2%
Space Separator 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 86
 
14.1%
회 82
 
13.5%
사 33
 
5.4%
감 14
 
2.3%
리 14
 
2.3%
로 14
 
2.3%
장 13
 
2.1%
도 13
 
2.1%
삼 12
 
2.0%
성 11
 
1.8%
Other values (135) 317
52.1%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
99.2%
Common 5
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 86
 
14.1%
회 82
 
13.5%
사 33
 
5.4%
감 14
 
2.3%
리 14
 
2.3%
로 14
 
2.3%
장 13
 
2.1%
도 13
 
2.1%
삼 12
 
2.0%
성 11
 
1.8%
Other values (135) 317
52.1%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
99.2%
ASCII 5
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 86
 
14.1%
회 82
 
13.5%
사 33
 
5.4%
감 14
 
2.3%
리 14
 
2.3%
로 14
 
2.3%
장 13
 
2.1%
도 13
 
2.1%
삼 12
 
2.0%
성 11
 
1.8%
Other values (135) 317
52.1%
ASCII
ValueCountFrequency (%)
5
100.0%

소재지
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T04:03:07.637130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length23.789916
Min length18

Characters and Unicode

Total characters2831
Distinct characters128
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 삼척시 죽서루길 72-17
2nd row강원특별자치도 삼척시 죽서루길 61
3rd row강원특별자치도 삼척시 영진안길 72
4th row강원특별자치도 삼척시 도계읍 도계우회로 82
5th row강원특별자치도 삼척시 도계읍 황조길 61
ValueCountFrequency (%)
강원특별자치도 119
21.4%
삼척시 119
21.4%
도계읍 22
 
4.0%
근덕면 20
 
3.6%
원덕읍 14
 
2.5%
삼척로 11
 
2.0%
미로면 7
 
1.3%
하장면 6
 
1.1%
강원남부로 5
 
0.9%
신기면 5
 
0.9%
Other values (202) 228
41.0%
2023-12-13T04:03:08.643272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
455
 
16.1%
도 153
 
5.4%
원 144
 
5.1%
척 131
 
4.6%
삼 130
 
4.6%
강 127
 
4.5%
시 120
 
4.2%
특 119
 
4.2%
별 119
 
4.2%
자 119
 
4.2%
Other values (118) 1214
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1888
66.7%
Space Separator 455
 
16.1%
Decimal Number 427
 
15.1%
Dash Punctuation 51
 
1.8%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 153
 
8.1%
원 144
 
7.6%
척 131
 
6.9%
삼 130
 
6.9%
강 127
 
6.7%
시 120
 
6.4%
특 119
 
6.3%
별 119
 
6.3%
자 119
 
6.3%
치 119
 
6.3%
Other values (103) 607
32.2%
Decimal Number
ValueCountFrequency (%)
1 82
19.2%
2 59
13.8%
3 55
12.9%
4 53
12.4%
5 39
9.1%
7 33
7.7%
0 30
 
7.0%
6 28
 
6.6%
8 28
 
6.6%
9 20
 
4.7%
Space Separator
ValueCountFrequency (%)
455
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1888
66.7%
Common 943
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 153
 
8.1%
원 144
 
7.6%
척 131
 
6.9%
삼 130
 
6.9%
강 127
 
6.7%
시 120
 
6.4%
특 119
 
6.3%
별 119
 
6.3%
자 119
 
6.3%
치 119
 
6.3%
Other values (103) 607
32.2%
Common
ValueCountFrequency (%)
455
48.3%
1 82
 
8.7%
2 59
 
6.3%
3 55
 
5.8%
4 53
 
5.6%
- 51
 
5.4%
5 39
 
4.1%
7 33
 
3.5%
0 30
 
3.2%
6 28
 
3.0%
Other values (5) 58
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1888
66.7%
ASCII 943
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
455
48.3%
1 82
 
8.7%
2 59
 
6.3%
3 55
 
5.8%
4 53
 
5.6%
- 51
 
5.4%
5 39
 
4.1%
7 33
 
3.5%
0 30
 
3.2%
6 28
 
3.0%
Other values (5) 58
 
6.2%
Hangul
ValueCountFrequency (%)
도 153
 
8.1%
원 144
 
7.6%
척 131
 
6.9%
삼 130
 
6.9%
강 127
 
6.7%
시 120
 
6.4%
특 119
 
6.3%
별 119
 
6.3%
자 119
 
6.3%
치 119
 
6.3%
Other values (103) 607
32.2%

연락처
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing22
Missing (%)18.5%
Memory size1.1 KiB
2023-12-13T04:03:09.089743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.082474
Min length3

Characters and Unicode

Total characters1172
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row033-574-2550
2nd row033-573-2487
3rd row033-573-2658
4th row033-541-2125
5th row033-541-8072
ValueCountFrequency (%)
033-573-0077 1
 
1.0%
033-572-3144 1
 
1.0%
033-541-9992 1
 
1.0%
033-572-5240 1
 
1.0%
033-573-7950 1
 
1.0%
033-572-6542 1
 
1.0%
033-573-8004 1
 
1.0%
033-572-6703 1
 
1.0%
033-572-6147 1
 
1.0%
033-541-3438 1
 
1.0%
Other values (87) 87
89.7%
2023-12-13T04:03:09.746552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 252
21.5%
- 194
16.6%
0 158
13.5%
5 145
12.4%
7 103
8.8%
4 71
 
6.1%
1 69
 
5.9%
2 68
 
5.8%
8 41
 
3.5%
6 34
 
2.9%
Other values (4) 37
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 971
82.8%
Dash Punctuation 194
 
16.6%
Space Separator 5
 
0.4%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 252
26.0%
0 158
16.3%
5 145
14.9%
7 103
10.6%
4 71
 
7.3%
1 69
 
7.1%
2 68
 
7.0%
8 41
 
4.2%
6 34
 
3.5%
9 30
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1172
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 252
21.5%
- 194
16.6%
0 158
13.5%
5 145
12.4%
7 103
8.8%
4 71
 
6.1%
1 69
 
5.9%
2 68
 
5.8%
8 41
 
3.5%
6 34
 
2.9%
Other values (4) 37
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 252
21.5%
- 194
16.6%
0 158
13.5%
5 145
12.4%
7 103
8.8%
4 71
 
6.1%
1 69
 
5.9%
2 68
 
5.8%
8 41
 
3.5%
6 34
 
2.9%
Other values (4) 37
 
3.2%

비고
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
91 
연락처 부재
17 
교단내용 부재+연락처 부재
 
6
교단내용 부재
 
5

Length

Max length14
Median length4
Mean length4.9159664
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> 91
76.5%
연락처 부재 17
 
14.3%
교단내용 부재+연락처 부재 6
 
5.0%
교단내용 부재 5
 
4.2%

Length

2023-12-13T04:03:10.012978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:03:10.211353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
59.5%
부재 28
 
18.3%
연락처 17
 
11.1%
교단내용 11
 
7.2%
부재+연락처 6
 
3.9%

Interactions

2023-12-13T04:03:04.058536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:03:10.355492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분종단_교단연락처비고
연번1.0000.8380.7521.0000.714
구분0.8381.0001.0001.0000.894
종단_교단0.7521.0001.0001.000NaN
연락처1.0001.0001.0001.0001.000
비고0.7140.894NaN1.0001.000
2023-12-13T04:03:10.581897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종단_교단비고
구분1.0000.8630.603
종단_교단0.8631.0001.000
비고0.6031.0001.000
2023-12-13T04:03:10.769161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분종단_교단비고
연번1.0000.7250.3350.535
구분0.7251.0000.8630.603
종단_교단0.3350.8631.0001.000
비고0.5350.6031.0001.000

Missing values

2023-12-13T04:03:04.370928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:03:04.567025image/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

연번구분종단_교단사찰_교회(명)소재지연락처비고
01불교천태종삼산사강원특별자치도 삼척시 죽서루길 72-17033-574-2550<NA>
12불교조계종삼장사강원특별자치도 삼척시 죽서루길 61033-573-2487<NA>
23불교조계종감로사강원특별자치도 삼척시 영진안길 72033-573-2658<NA>
34불교천태종영락사강원특별자치도 삼척시 도계읍 도계우회로 82033-541-2125<NA>
45불교조계종도덕정사강원특별자치도 삼척시 도계읍 황조길 61033-541-8072<NA>
56불교현대불교조계종청룡사강원특별자치도 삼척시 도계읍 강원남부로 1373-30033-541-2886<NA>
67불교법화종대계사강원특별자치도 삼척시 도계읍 도계대한길 44-19033-541-4595<NA>
78불교정법종광명사강원특별자치도 삼척시 도계읍 도계느티로 83033-541-2910<NA>
89불교<NA>아미사강원특별자치도 삼척시 도계읍 도계리 94033-541-0177교단내용 부재
910불교대각종현불사강원특별자치도 삼척시 도계읍 산기길 424033-541-0257<NA>
연번구분종단_교단사찰_교회(명)소재지연락처비고
109110기독교장로교미로교회강원특별자치도 삼척시 강원남부로4039033-572-0039<NA>
110111기독교개신교내미로교회강원특별자치도 삼척시 미로면 내미로길 6-23<NA>연락처 부재
111112기독교감리교가곡교회강원특별자치도 삼척시 가곡면 가곡천로 1493033-572-7008<NA>
112113기독교장로교풍곡교회강원특별자치도 삼척시 가곡면 풍곡안길 17-20033-572-7080<NA>
113114기독교장로교신기중앙교회강원특별자치도 삼척시 신기면 신기역길 48-58033-541-5001<NA>
114115기독교침례교대평교회강원특별자치도 삼척시 신기면 대평2길 76-38033-541-0752<NA>
115116천주교<NA>천주교사직동성당강원특별자치도 삼척시 중앙로 69033-574-6607교단내용 부재
116117천주교<NA>천주교성내동성당강원특별자치도 삼척시 성당길 34-84(성내동)033-574-2271교단내용 부재
117118천주교<NA>천주교도계성당강원특별자치도 삼척시 도계읍 도계대한길25033-541-4687교단내용 부재
118119천주교<NA>원주교구 사직성당 호산공소강원특별자치도 삼척시 원덕읍 삼척로 453033-572-6668교단내용 부재