Overview

Dataset statistics

Number of variables7
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory58.2 B

Variable types

Numeric1
Categorical4
Text2

Dataset

Description대구광역시 중구 관내 종교시설 정보(연번,시도명,시군구명,시설구분,시설명칭,도로명주소)를 제공하고 있습니다. - 교회, 천주교 등 시설 정보입니다. > 종교시설은 등록시설업이 아니므로 실제 수량 및 현황과 차이가 일부 있을 수 있습니다.
URLhttps://www.data.go.kr/data/3055972/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명칭 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:50:37.652664
Analysis finished2023-12-12 01:50:38.184109
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T10:50:38.293706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3
Q127.5
median54
Q380.5
95-th percentile101.7
Maximum107
Range106
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.032241
Coefficient of variation (CV)0.57467114
Kurtosis-1.2
Mean54
Median Absolute Deviation (MAD)27
Skewness0
Sum5778
Variance963
MonotonicityStrictly increasing
2023-12-12T10:50:38.462223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
69 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
대구광역시
107 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 107
100.0%

Length

2023-12-12T10:50:38.603149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:50:38.706245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 107
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
중구
107 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 107
100.0%

Length

2023-12-12T10:50:38.815502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:50:38.925814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 107
100.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
기독교
75 
불교
22 
천주교
 
6
원불교
 
3
천도교
 
1

Length

Max length3
Median length3
Mean length2.7943925
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 75
70.1%
불교 22
 
20.6%
천주교 6
 
5.6%
원불교 3
 
2.8%
천도교 1
 
0.9%

Length

2023-12-12T10:50:39.029105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:50:39.147274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 75
70.1%
불교 22
 
20.6%
천주교 6
 
5.6%
원불교 3
 
2.8%
천도교 1
 
0.9%

시설명칭
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T10:50:39.403158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length6.1214953
Min length3

Characters and Unicode

Total characters655
Distinct characters149
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st row굳윌교회
2nd row대구성광교회
3rd row새벽별교회
4th row다드림교회(수레바퀴선교회)
5th row남부교회
ValueCountFrequency (%)
대구제일교회 3
 
2.6%
굳윌교회 1
 
0.9%
벧엘교회 1
 
0.9%
보현사 1
 
0.9%
원만사 1
 
0.9%
대광명사 1
 
0.9%
개천사 1
 
0.9%
모은정사 1
 
0.9%
달성제일장로교회 1
 
0.9%
달성교회 1
 
0.9%
Other values (103) 103
89.6%
2023-12-12T10:50:39.901617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 93
 
14.2%
회 85
 
13.0%
대 44
 
6.7%
구 35
 
5.3%
성 22
 
3.4%
사 21
 
3.2%
당 13
 
2.0%
11
 
1.7%
동 10
 
1.5%
원 9
 
1.4%
Other values (139) 312
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
96.3%
Space Separator 11
 
1.7%
Close Punctuation 5
 
0.8%
Open Punctuation 5
 
0.8%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 93
 
14.7%
회 85
 
13.5%
대 44
 
7.0%
구 35
 
5.5%
성 22
 
3.5%
사 21
 
3.3%
당 13
 
2.1%
동 10
 
1.6%
원 9
 
1.4%
인 9
 
1.4%
Other values (133) 290
46.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
N 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 631
96.3%
Common 21
 
3.2%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 93
 
14.7%
회 85
 
13.5%
대 44
 
7.0%
구 35
 
5.5%
성 22
 
3.5%
사 21
 
3.3%
당 13
 
2.1%
동 10
 
1.6%
원 9
 
1.4%
인 9
 
1.4%
Other values (133) 290
46.0%
Common
ValueCountFrequency (%)
11
52.4%
) 5
23.8%
( 5
23.8%
Latin
ValueCountFrequency (%)
A 1
33.3%
N 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
96.3%
ASCII 24
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 93
 
14.7%
회 85
 
13.5%
대 44
 
7.0%
구 35
 
5.5%
성 22
 
3.5%
사 21
 
3.3%
당 13
 
2.1%
동 10
 
1.6%
원 9
 
1.4%
인 9
 
1.4%
Other values (133) 290
46.0%
ASCII
ValueCountFrequency (%)
11
45.8%
) 5
20.8%
( 5
20.8%
A 1
 
4.2%
N 1
 
4.2%
I 1
 
4.2%

도로명주소
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T10:50:40.160798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length19.88785
Min length13

Characters and Unicode

Total characters2128
Distinct characters92
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

Unique107 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 명덕로217, 3층
2nd row대구광역시 중구 명륜로21길 76
3rd row대구광역시 중구 명덕로217, 6,7층
4th row대구광역시 중구 명덕로217,5층
5th row대구광역시 중구 중앙대로 298
ValueCountFrequency (%)
대구광역시 107
23.8%
중구 107
23.8%
국채보상로 10
 
2.2%
3층 6
 
1.3%
달구벌대로 6
 
1.3%
명륜로 6
 
1.3%
명덕로 6
 
1.3%
태평로 4
 
0.9%
서성로16길 3
 
0.7%
50 3
 
0.7%
Other values (163) 191
42.5%
2023-12-12T10:50:40.862728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
16.2%
구 224
 
10.5%
대 130
 
6.1%
중 117
 
5.5%
역 108
 
5.1%
시 108
 
5.1%
광 107
 
5.0%
로 99
 
4.7%
1 83
 
3.9%
2 70
 
3.3%
Other values (82) 738
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1278
60.1%
Decimal Number 434
 
20.4%
Space Separator 344
 
16.2%
Dash Punctuation 32
 
1.5%
Other Punctuation 20
 
0.9%
Close Punctuation 10
 
0.5%
Open Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 224
17.5%
대 130
10.2%
중 117
9.2%
역 108
 
8.5%
시 108
 
8.5%
광 107
 
8.4%
로 99
 
7.7%
길 55
 
4.3%
동 21
 
1.6%
명 21
 
1.6%
Other values (66) 288
22.5%
Decimal Number
ValueCountFrequency (%)
1 83
19.1%
2 70
16.1%
3 51
11.8%
5 42
9.7%
0 39
9.0%
7 36
8.3%
4 32
 
7.4%
6 29
 
6.7%
9 26
 
6.0%
8 26
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1278
60.1%
Common 850
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 224
17.5%
대 130
10.2%
중 117
9.2%
역 108
 
8.5%
시 108
 
8.5%
광 107
 
8.4%
로 99
 
7.7%
길 55
 
4.3%
동 21
 
1.6%
명 21
 
1.6%
Other values (66) 288
22.5%
Common
ValueCountFrequency (%)
344
40.5%
1 83
 
9.8%
2 70
 
8.2%
3 51
 
6.0%
5 42
 
4.9%
0 39
 
4.6%
7 36
 
4.2%
- 32
 
3.8%
4 32
 
3.8%
6 29
 
3.4%
Other values (6) 92
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1278
60.1%
ASCII 850
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
40.5%
1 83
 
9.8%
2 70
 
8.2%
3 51
 
6.0%
5 42
 
4.9%
0 39
 
4.6%
7 36
 
4.2%
- 32
 
3.8%
4 32
 
3.8%
6 29
 
3.4%
Other values (6) 92
 
10.8%
Hangul
ValueCountFrequency (%)
구 224
17.5%
대 130
10.2%
중 117
9.2%
역 108
 
8.5%
시 108
 
8.5%
광 107
 
8.4%
로 99
 
7.7%
길 55
 
4.3%
동 21
 
1.6%
명 21
 
1.6%
Other values (66) 288
22.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-07-27
107 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-27
2nd row2023-07-27
3rd row2023-07-27
4th row2023-07-27
5th row2023-07-27

Common Values

ValueCountFrequency (%)
2023-07-27 107
100.0%

Length

2023-12-12T10:50:41.030957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:50:41.139277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-27 107
100.0%

Interactions

2023-12-12T10:50:37.876620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:50:41.214755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분
연번1.0000.930
시설구분0.9301.000
2023-12-12T10:50:41.345045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분
연번1.0000.630
시설구분0.6301.000

Missing values

2023-12-12T10:50:37.998325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:50:38.140275image/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

연번시도명시군구명시설구분시설명칭도로명주소데이터기준일자
01대구광역시중구기독교굳윌교회대구광역시 중구 명덕로217, 3층2023-07-27
12대구광역시중구기독교대구성광교회대구광역시 중구 명륜로21길 762023-07-27
23대구광역시중구기독교새벽별교회대구광역시 중구 명덕로217, 6,7층2023-07-27
34대구광역시중구기독교다드림교회(수레바퀴선교회)대구광역시 중구 명덕로217,5층2023-07-27
45대구광역시중구기독교남부교회대구광역시 중구 중앙대로 2982023-07-27
56대구광역시중구기독교남문감리교회대구광역시 중구 2.28길 32-252023-07-27
67대구광역시중구기독교순복음중앙교회대구광역시 중구 중앙대로 58길 372023-07-27
78대구광역시중구기독교영지교회대구광역시 중구 명덕로 203, 3층2023-07-27
89대구광역시중구기독교서남교회대구광역시 중구 재마루길 962023-07-27
910대구광역시중구기독교대구서현교회대구광역시 중구 달구벌대로 20342023-07-27
연번시도명시군구명시설구분시설명칭도로명주소데이터기준일자
9798대구광역시중구원불교원불교대구경북교구청 대구교당대구광역시 중구 중앙대로66길 42, 3,4층2023-07-27
9899대구광역시중구원불교원불교서성로교당대구광역시 중구 서성로13길 14-102023-07-27
99100대구광역시중구원불교원불교삼덕교당대구광역시 중구 달구벌대로443길 15-52023-07-27
100101대구광역시중구천주교동인성당대구광역시 중구 국채보상로152길 6-52023-07-27
101102대구광역시중구천주교삼덕성당대구광역시 중구 공평로 392023-07-27
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