Overview

Dataset statistics

Number of variables5
Number of observations318
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description- 서울특별시 광진구 종교시설에 대한 데이터로 시설명, 주소 등을 포함하고 있음- 종교시설은 등록허가업이 아니므로 잦은 변화가 있을 수 있으니 참고자료로만 활용
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15033279/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종교구분 is highly imbalanced (78.0%)Imbalance
연번 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:11:22.861157
Analysis finished2024-03-14 11:11:23.705132
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.5
Minimum1
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-03-14T20:11:23.835387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.85
Q180.25
median159.5
Q3238.75
95-th percentile302.15
Maximum318
Range317
Interquartile range (IQR)158.5

Descriptive statistics

Standard deviation91.942917
Coefficient of variation (CV)0.57644462
Kurtosis-1.2
Mean159.5
Median Absolute Deviation (MAD)79.5
Skewness0
Sum50721
Variance8453.5
MonotonicityStrictly increasing
2024-03-14T20:11:24.091865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
211 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
210 1
 
0.3%
Other values (308) 308
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%

종교구분
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
개신교
287 
불교
 
10
천주교
 
8
대순진리회
 
7
원불교
 
2
Other values (4)
 
4

Length

Max length5
Median length3
Mean length3.009434
Min length2

Unique

Unique4 ?
Unique (%)1.3%

Sample

1st row천주교
2nd row통일교
3rd row개신교
4th row개신교
5th row원불교

Common Values

ValueCountFrequency (%)
개신교 287
90.3%
불교 10
 
3.1%
천주교 8
 
2.5%
대순진리회 7
 
2.2%
원불교 2
 
0.6%
통일교 1
 
0.3%
천도교 1
 
0.3%
천부교 1
 
0.3%
기타 1
 
0.3%

Length

2024-03-14T20:11:24.386327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:11:24.671597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개신교 287
90.3%
불교 10
 
3.1%
천주교 8
 
2.5%
대순진리회 7
 
2.2%
원불교 2
 
0.6%
통일교 1
 
0.3%
천도교 1
 
0.3%
천부교 1
 
0.3%
기타 1
 
0.3%

시설명
Text

Distinct287
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T20:11:25.605967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length5.9591195
Min length3

Characters and Unicode

Total characters1895
Distinct characters241
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)81.4%

Sample

1st row중곡동성당
2nd row광진교회
3rd row하나님의교회(세계복음선교협회 서울광진교회)
4th row대은교회
5th row원불교중곡교당
ValueCountFrequency (%)
대한예수교장로회 6
 
1.7%
대순진리회 6
 
1.7%
광진교회 4
 
1.1%
소망교회 3
 
0.8%
은혜제일교회 3
 
0.8%
제칠일안식일예수재림교 3
 
0.8%
중곡교회 2
 
0.6%
동성교회 2
 
0.6%
엘림교회 2
 
0.6%
우리교회 2
 
0.6%
Other values (298) 326
90.8%
2024-03-14T20:11:26.917818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 319
 
16.8%
회 315
 
16.6%
성 45
 
2.4%
43
 
2.3%
예 33
 
1.7%
광 32
 
1.7%
동 28
 
1.5%
한 28
 
1.5%
수 28
 
1.5%
서 26
 
1.4%
Other values (231) 998
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1837
96.9%
Space Separator 43
 
2.3%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Decimal Number 3
 
0.2%
Uppercase Letter 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 319
 
17.4%
회 315
 
17.1%
성 45
 
2.4%
예 33
 
1.8%
광 32
 
1.7%
동 28
 
1.5%
한 28
 
1.5%
수 28
 
1.5%
서 26
 
1.4%
대 26
 
1.4%
Other values (222) 957
52.1%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
4 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
M 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1837
96.9%
Common 54
 
2.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 319
 
17.4%
회 315
 
17.1%
성 45
 
2.4%
예 33
 
1.8%
광 32
 
1.7%
동 28
 
1.5%
한 28
 
1.5%
수 28
 
1.5%
서 26
 
1.4%
대 26
 
1.4%
Other values (222) 957
52.1%
Common
ValueCountFrequency (%)
43
79.6%
) 4
 
7.4%
( 4
 
7.4%
2 2
 
3.7%
4 1
 
1.9%
Latin
ValueCountFrequency (%)
C 1
25.0%
b 1
25.0%
e 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1837
96.9%
ASCII 58
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 319
 
17.4%
회 315
 
17.1%
성 45
 
2.4%
예 33
 
1.8%
광 32
 
1.7%
동 28
 
1.5%
한 28
 
1.5%
수 28
 
1.5%
서 26
 
1.4%
대 26
 
1.4%
Other values (222) 957
52.1%
ASCII
ValueCountFrequency (%)
43
74.1%
) 4
 
6.9%
( 4
 
6.9%
2 2
 
3.4%
C 1
 
1.7%
b 1
 
1.7%
4 1
 
1.7%
e 1
 
1.7%
M 1
 
1.7%

도로명주소
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T20:11:28.041135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.8144654
Min length5

Characters and Unicode

Total characters3121
Distinct characters68
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)100.0%

Sample

1st row능동로 381
2nd row긴고랑로 52
3rd row동일로 386 3~4층
4th row능동로47길 35-3
5th row긴고랑로14길 54
ValueCountFrequency (%)
뚝섬로 16
 
2.3%
자양로 15
 
2.2%
지층 15
 
2.2%
2층 13
 
1.9%
아차산로 12
 
1.7%
능동로 11
 
1.6%
용마산로 11
 
1.6%
동일로 9
 
1.3%
광나루로 8
 
1.2%
25 8
 
1.2%
Other values (388) 574
82.9%
2024-03-14T20:11:29.418792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
 
12.1%
로 318
 
10.2%
1 196
 
6.3%
길 182
 
5.8%
3 169
 
5.4%
2 159
 
5.1%
5 134
 
4.3%
4 124
 
4.0%
6 100
 
3.2%
0 85
 
2.7%
Other values (58) 1277
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1452
46.5%
Decimal Number 1170
37.5%
Space Separator 377
 
12.1%
Other Punctuation 76
 
2.4%
Dash Punctuation 31
 
1.0%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 318
21.9%
길 182
 
12.5%
층 72
 
5.0%
자 63
 
4.3%
동 56
 
3.9%
섬 51
 
3.5%
뚝 51
 
3.5%
양 50
 
3.4%
산 49
 
3.4%
지 37
 
2.5%
Other values (41) 523
36.0%
Decimal Number
ValueCountFrequency (%)
1 196
16.8%
3 169
14.4%
2 159
13.6%
5 134
11.5%
4 124
10.6%
6 100
8.5%
0 85
7.3%
8 74
 
6.3%
7 72
 
6.2%
9 57
 
4.9%
Space Separator
ValueCountFrequency (%)
377
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1668
53.4%
Hangul 1452
46.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 318
21.9%
길 182
 
12.5%
층 72
 
5.0%
자 63
 
4.3%
동 56
 
3.9%
섬 51
 
3.5%
뚝 51
 
3.5%
양 50
 
3.4%
산 49
 
3.4%
지 37
 
2.5%
Other values (41) 523
36.0%
Common
ValueCountFrequency (%)
377
22.6%
1 196
11.8%
3 169
10.1%
2 159
9.5%
5 134
 
8.0%
4 124
 
7.4%
6 100
 
6.0%
0 85
 
5.1%
, 76
 
4.6%
8 74
 
4.4%
Other values (6) 174
10.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1669
53.5%
Hangul 1452
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
377
22.6%
1 196
11.7%
3 169
10.1%
2 159
9.5%
5 134
 
8.0%
4 124
 
7.4%
6 100
 
6.0%
0 85
 
5.1%
, 76
 
4.6%
8 74
 
4.4%
Other values (7) 175
10.5%
Hangul
ValueCountFrequency (%)
로 318
21.9%
길 182
 
12.5%
층 72
 
5.0%
자 63
 
4.3%
동 56
 
3.9%
섬 51
 
3.5%
뚝 51
 
3.5%
양 50
 
3.4%
산 49
 
3.4%
지 37
 
2.5%
Other values (41) 523
36.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-02-08
318 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-08
2nd row2024-02-08
3rd row2024-02-08
4th row2024-02-08
5th row2024-02-08

Common Values

ValueCountFrequency (%)
2024-02-08 318
100.0%

Length

2024-03-14T20:11:29.739697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:11:30.134094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-08 318
100.0%

Interactions

2024-03-14T20:11:23.215056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:11:30.430103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.149
종교구분0.1491.000
2024-03-14T20:11:30.787195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.067
종교구분0.0671.000

Missing values

2024-03-14T20:11:23.471874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:11:23.637693image/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
01천주교중곡동성당능동로 3812024-02-08
12통일교광진교회긴고랑로 522024-02-08
23개신교하나님의교회(세계복음선교협회 서울광진교회)동일로 386 3~4층2024-02-08
34개신교대은교회능동로47길 35-32024-02-08
45원불교원불교중곡교당긴고랑로14길 542024-02-08
56개신교서울새벽교회천호대로101길 332024-02-08
67개신교혜원교회긴고랑로1길 412024-02-08
78개신교비전교회동일로68길 82024-02-08
89개신교예수중심교회긴고랑로 502024-02-08
910개신교늘기쁜교회능동로 349 2층2024-02-08
연번종교구분시설명도로명주소데이터기준일자
308309개신교우리사랑교회군자로 149, 2층2024-02-08
309310개신교산소망교회군자로 1862024-02-08
310311개신교사람들에교회능동로35길 182024-02-08
311312개신교한마음교회천호대로104길 23, 지층2024-02-08
312313개신교아름다운교회군자로 982024-02-08
313314개신교반석중앙교회천호대로102길 362024-02-08
314315개신교은혜제일교회군자로12길 46(2층)2024-02-08
315316개신교화양감리교회능동로 195-122024-02-08
316317개신교동산교회면목로 142024-02-08
317318개신교CM교회천호대로102길 252024-02-08