Overview

Dataset statistics

Number of variables4
Number of observations742
Missing cells473
Missing cells (%)15.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.0 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 서구 교회 현황에 관한 데이터입니다. 본 데이터는 2022년 코로나19 방역조치와 관련하여 종교시설 전수조사시 작성된 자료입니다.
URLhttps://www.data.go.kr/data/15121533/fileData.do

Alerts

전화번호 has 473 (63.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:07:11.240278
Analysis finished2023-12-12 03:07:12.050598
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct742
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371.5
Minimum1
Maximum742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2023-12-12T12:07:12.161821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.05
Q1186.25
median371.5
Q3556.75
95-th percentile704.95
Maximum742
Range741
Interquartile range (IQR)370.5

Descriptive statistics

Standard deviation214.34124
Coefficient of variation (CV)0.57696161
Kurtosis-1.2
Mean371.5
Median Absolute Deviation (MAD)185.5
Skewness0
Sum275653
Variance45942.167
MonotonicityStrictly increasing
2023-12-12T12:07:12.376368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
500 1
 
0.1%
491 1
 
0.1%
492 1
 
0.1%
493 1
 
0.1%
494 1
 
0.1%
495 1
 
0.1%
496 1
 
0.1%
497 1
 
0.1%
498 1
 
0.1%
Other values (732) 732
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
742 1
0.1%
741 1
0.1%
740 1
0.1%
739 1
0.1%
738 1
0.1%
737 1
0.1%
736 1
0.1%
735 1
0.1%
734 1
0.1%
733 1
0.1%

시설명
Text

Distinct634
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-12T12:07:12.827505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length6.2951482
Min length4

Characters and Unicode

Total characters4671
Distinct characters305
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique563 ?
Unique (%)75.9%

Sample

1st row신생감리교회
2nd row예수비젼교회
3rd row빛과소금교회
4th row호산나교회
5th row참길교회
ValueCountFrequency (%)
교회 10
 
1.3%
임마누엘교회 7
 
0.9%
주님의교회 6
 
0.8%
성은교회 5
 
0.7%
은혜교회 5
 
0.7%
행복한교회 5
 
0.7%
샘물교회 5
 
0.7%
예향교회 4
 
0.5%
반석교회 4
 
0.5%
서인천교회 4
 
0.5%
Other values (634) 713
92.8%
2023-12-12T12:07:13.487080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 744
 
15.9%
회 742
 
15.9%
( 158
 
3.4%
) 157
 
3.4%
로 78
 
1.7%
장 71
 
1.5%
성 69
 
1.5%
복 67
 
1.4%
리 62
 
1.3%
인 60
 
1.3%
Other values (295) 2463
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4317
92.4%
Open Punctuation 158
 
3.4%
Close Punctuation 157
 
3.4%
Space Separator 28
 
0.6%
Decimal Number 6
 
0.1%
Uppercase Letter 3
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 744
 
17.2%
회 742
 
17.2%
로 78
 
1.8%
장 71
 
1.6%
성 69
 
1.6%
복 67
 
1.6%
리 62
 
1.4%
인 60
 
1.4%
천 54
 
1.3%
예 52
 
1.2%
Other values (283) 2318
53.7%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 2
33.3%
3 1
16.7%
0 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
M 1
33.3%
I 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4316
92.4%
Common 351
 
7.5%
Latin 3
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 744
 
17.2%
회 742
 
17.2%
로 78
 
1.8%
장 71
 
1.6%
성 69
 
1.6%
복 67
 
1.6%
리 62
 
1.4%
인 60
 
1.4%
천 54
 
1.3%
예 52
 
1.2%
Other values (282) 2317
53.7%
Common
ValueCountFrequency (%)
( 158
45.0%
) 157
44.7%
28
 
8.0%
1 2
 
0.6%
2 2
 
0.6%
, 1
 
0.3%
3 1
 
0.3%
. 1
 
0.3%
0 1
 
0.3%
Latin
ValueCountFrequency (%)
G 1
33.3%
M 1
33.3%
I 1
33.3%
Han
ValueCountFrequency (%)
前 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4316
92.4%
ASCII 354
 
7.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 744
 
17.2%
회 742
 
17.2%
로 78
 
1.8%
장 71
 
1.6%
성 69
 
1.6%
복 67
 
1.6%
리 62
 
1.4%
인 60
 
1.4%
천 54
 
1.3%
예 52
 
1.2%
Other values (282) 2317
53.7%
ASCII
ValueCountFrequency (%)
( 158
44.6%
) 157
44.4%
28
 
7.9%
1 2
 
0.6%
2 2
 
0.6%
, 1
 
0.3%
G 1
 
0.3%
3 1
 
0.3%
. 1
 
0.3%
0 1
 
0.3%
Other values (2) 2
 
0.6%
CJK
ValueCountFrequency (%)
前 1
100.0%

전화번호
Text

MISSING 

Distinct268
Distinct (%)99.6%
Missing473
Missing (%)63.7%
Memory size5.9 KiB
2023-12-12T12:07:13.849643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02974
Min length8

Characters and Unicode

Total characters3236
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

Unique267 ?
Unique (%)99.3%

Sample

1st row032-568-1560
2nd row032-563-0019
3rd row032-575-2519
4th row070-7531-6154
5th row032-567-3950
ValueCountFrequency (%)
032-579-0191 2
 
0.7%
032-572-7575 1
 
0.4%
032-579-5545 1
 
0.4%
032-568-1560 1
 
0.4%
032-577-7241 1
 
0.4%
032-574-3663 1
 
0.4%
032-581-3140 1
 
0.4%
032-502-6354 1
 
0.4%
070-8823-9157 1
 
0.4%
032-584-5205 1
 
0.4%
Other values (258) 258
95.9%
2023-12-12T12:07:14.454299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 537
16.6%
0 452
14.0%
2 410
12.7%
5 365
11.3%
3 364
11.2%
6 238
7.4%
7 228
7.0%
1 224
6.9%
9 156
 
4.8%
8 145
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2699
83.4%
Dash Punctuation 537
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 452
16.7%
2 410
15.2%
5 365
13.5%
3 364
13.5%
6 238
8.8%
7 228
8.4%
1 224
8.3%
9 156
 
5.8%
8 145
 
5.4%
4 117
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 537
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3236
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 537
16.6%
0 452
14.0%
2 410
12.7%
5 365
11.3%
3 364
11.2%
6 238
7.4%
7 228
7.0%
1 224
6.9%
9 156
 
4.8%
8 145
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 537
16.6%
0 452
14.0%
2 410
12.7%
5 365
11.3%
3 364
11.2%
6 238
7.4%
7 228
7.0%
1 224
6.9%
9 156
 
4.8%
8 145
 
4.5%

주소
Text

Distinct739
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-12T12:07:14.887024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length23.06469
Min length14

Characters and Unicode

Total characters17114
Distinct characters234
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique737 ?
Unique (%)99.3%

Sample

1st row인천광역시 서구 승학로 537(검암동)
2nd row인천광역시 서구 검암로30번길 3-24(검암동)
3rd row인천광역시 서구 승학로566, 3층(검암동)
4th row인천광역시 서구 승학로 577, 301호(검암동)
5th row인천광역시 서구 승학로 551, 401호(검암동)
ValueCountFrequency (%)
인천광역시 743
22.3%
서구 743
22.3%
3층 58
 
1.7%
2층 51
 
1.5%
가정로 28
 
0.8%
승학로 26
 
0.8%
상가 20
 
0.6%
심곡로 20
 
0.6%
16 13
 
0.4%
5층 12
 
0.4%
Other values (1036) 1618
48.6%
2023-12-12T12:07:15.564357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2638
 
15.4%
서 818
 
4.8%
인 747
 
4.4%
천 747
 
4.4%
광 746
 
4.4%
시 744
 
4.3%
역 743
 
4.3%
구 743
 
4.3%
로 736
 
4.3%
1 708
 
4.1%
Other values (224) 7744
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10270
60.0%
Decimal Number 3272
 
19.1%
Space Separator 2638
 
15.4%
Other Punctuation 324
 
1.9%
Close Punctuation 208
 
1.2%
Open Punctuation 208
 
1.2%
Dash Punctuation 178
 
1.0%
Uppercase Letter 13
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 818
 
8.0%
인 747
 
7.3%
천 747
 
7.3%
광 746
 
7.3%
시 744
 
7.2%
역 743
 
7.2%
구 743
 
7.2%
로 736
 
7.2%
길 403
 
3.9%
번 388
 
3.8%
Other values (198) 3455
33.6%
Decimal Number
ValueCountFrequency (%)
1 708
21.6%
2 530
16.2%
3 431
13.2%
4 296
9.0%
0 238
 
7.3%
5 233
 
7.1%
7 225
 
6.9%
8 219
 
6.7%
6 209
 
6.4%
9 183
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
61.5%
M 1
 
7.7%
E 1
 
7.7%
F 1
 
7.7%
S 1
 
7.7%
R 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 322
99.4%
/ 1
 
0.3%
. 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
2638
100.0%
Close Punctuation
ValueCountFrequency (%)
) 208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10270
60.0%
Common 6829
39.9%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 818
 
8.0%
인 747
 
7.3%
천 747
 
7.3%
광 746
 
7.3%
시 744
 
7.2%
역 743
 
7.2%
구 743
 
7.2%
로 736
 
7.2%
길 403
 
3.9%
번 388
 
3.8%
Other values (198) 3455
33.6%
Common
ValueCountFrequency (%)
2638
38.6%
1 708
 
10.4%
2 530
 
7.8%
3 431
 
6.3%
, 322
 
4.7%
4 296
 
4.3%
0 238
 
3.5%
5 233
 
3.4%
7 225
 
3.3%
8 219
 
3.2%
Other values (8) 989
 
14.5%
Latin
ValueCountFrequency (%)
B 8
53.3%
e 1
 
6.7%
M 1
 
6.7%
E 1
 
6.7%
F 1
 
6.7%
S 1
 
6.7%
a 1
 
6.7%
R 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10270
60.0%
ASCII 6844
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2638
38.5%
1 708
 
10.3%
2 530
 
7.7%
3 431
 
6.3%
, 322
 
4.7%
4 296
 
4.3%
0 238
 
3.5%
5 233
 
3.4%
7 225
 
3.3%
8 219
 
3.2%
Other values (16) 1004
 
14.7%
Hangul
ValueCountFrequency (%)
서 818
 
8.0%
인 747
 
7.3%
천 747
 
7.3%
광 746
 
7.3%
시 744
 
7.2%
역 743
 
7.2%
구 743
 
7.2%
로 736
 
7.2%
길 403
 
3.9%
번 388
 
3.8%
Other values (198) 3455
33.6%

Interactions

2023-12-12T12:07:11.622491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T12:07:11.892774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:07:12.001861image/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

연번시설명전화번호주소
01신생감리교회032-568-1560인천광역시 서구 승학로 537(검암동)
12예수비젼교회032-563-0019인천광역시 서구 검암로30번길 3-24(검암동)
23빛과소금교회032-575-2519인천광역시 서구 승학로566, 3층(검암동)
34호산나교회070-7531-6154인천광역시 서구 승학로 577, 301호(검암동)
45참길교회032-567-3950인천광역시 서구 승학로 551, 401호(검암동)
56새에덴교회032-567-6387인천광역시 서구 승학로 587, 4층(검암동)
67인천중앙교회<NA>인천광역시 서구 승학로 578, 401호(검암동)
78넷마을교회032-567-1165인천광역시 서구 검암로20번길52, 2층(검암동,삼보2차아파트상가)
89행복한성산교회<NA>인천광역시 서구 승학로584, 3층(검암동)
910서곶교회032-561-0432인천광역시 서구 승학로402번길 29-6
연번시설명전화번호주소
732733마전제일교회(통합)<NA>인천광역시 서구 완정로64번길54
733734검단목천교회(통합)<NA>인천광역시 서구 완정로65번길5, 한뫼프라자 601호
734735예수사랑교회(백석)<NA>인천광역시 서구 완정로65번길9, 준프라자 401호
735736믿음의교회(백석)<NA>인천광역시 서구 완정로7번길 23 정금빌딩 3층
736737예순교회(장로)<NA>인천광역시 서구 원당대로 665, 한진빌딩 5층
737738검단참좋은교회(예성)<NA>인천광역시 서구 원당대로 671, 성광빌딩 3층
738739말씀이있는교회<NA>인천광역시 서구 원당대로 677, 경인프라자 202호
739740검단승리교회(성결)<NA>인천광역시 서구 원당대로633, 2층
740741새교회(순복음)<NA>인천광역시 서구 원당대로685번길 5, 풍림아파트3차 상가B동
741742겨자씨교회(예장)<NA>인천광역시 서구 원당대로 679