Overview

Dataset statistics

Number of variables5
Number of observations776
Missing cells483
Missing cells (%)12.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.2 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 서구 종교시설에 관한 데이터입니다. 본 데이터는 2022년 코로나19 방역조치와 관련하여 종교시설 전수조사시 작성된 자료입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15117632&srcSe=7661IVAWM27C61E190

Alerts

구분 is highly imbalanced (80.9%)Imbalance
전화번호 has 483 (62.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:35:16.059464
Analysis finished2024-03-18 03:35:18.285416
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct776
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388.5
Minimum1
Maximum776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-18T12:35:18.360148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.75
Q1194.75
median388.5
Q3582.25
95-th percentile737.25
Maximum776
Range775
Interquartile range (IQR)387.5

Descriptive statistics

Standard deviation224.1562
Coefficient of variation (CV)0.57697862
Kurtosis-1.2
Mean388.5
Median Absolute Deviation (MAD)194
Skewness0
Sum301476
Variance50246
MonotonicityStrictly increasing
2024-03-18T12:35:18.510929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
535 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
Other values (766) 766
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 (%)
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%

구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
교회
742 
사찰
 
20
성당
 
14

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교회 742
95.6%
사찰 20
 
2.6%
성당 14
 
1.8%

Length

2024-03-18T12:35:18.674785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:18.762621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교회 742
95.6%
사찰 20
 
2.6%
성당 14
 
1.8%

시설명
Text

Distinct668
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-03-18T12:35:18.988226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length6.2113402
Min length2

Characters and Unicode

Total characters4820
Distinct characters315
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

Unique597 ?
Unique (%)76.9%

Sample

1st row신생감리교회
2nd row예수비젼교회
3rd row빛과소금교회
4th row호산나교회
5th row참길교회
ValueCountFrequency (%)
성당 14
 
1.7%
교회 10
 
1.2%
임마누엘교회 7
 
0.9%
주님의교회 6
 
0.7%
은혜교회 5
 
0.6%
성은교회 5
 
0.6%
샘물교회 5
 
0.6%
행복한교회 5
 
0.6%
예향교회 4
 
0.5%
반석교회 4
 
0.5%
Other values (669) 751
92.0%
2024-03-18T12:35:19.347436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 744
 
15.4%
회 742
 
15.4%
( 158
 
3.3%
) 157
 
3.3%
성 85
 
1.8%
로 79
 
1.6%
장 71
 
1.5%
사 67
 
1.4%
복 67
 
1.4%
리 63
 
1.3%
Other values (305) 2587
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4450
92.3%
Open Punctuation 158
 
3.3%
Close Punctuation 157
 
3.3%
Space Separator 42
 
0.9%
Decimal Number 8
 
0.2%
Uppercase Letter 3
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 744
 
16.7%
회 742
 
16.7%
성 85
 
1.9%
로 79
 
1.8%
장 71
 
1.6%
사 67
 
1.5%
복 67
 
1.5%
리 63
 
1.4%
인 60
 
1.3%
천 54
 
1.2%
Other values (293) 2418
54.3%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
2 2
25.0%
1 2
25.0%
0 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
G 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 (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4449
92.3%
Common 367
 
7.6%
Latin 3
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 744
 
16.7%
회 742
 
16.7%
성 85
 
1.9%
로 79
 
1.8%
장 71
 
1.6%
사 67
 
1.5%
복 67
 
1.5%
리 63
 
1.4%
인 60
 
1.3%
천 54
 
1.2%
Other values (292) 2417
54.3%
Common
ValueCountFrequency (%)
( 158
43.1%
) 157
42.8%
42
 
11.4%
3 3
 
0.8%
2 2
 
0.5%
1 2
 
0.5%
, 1
 
0.3%
. 1
 
0.3%
0 1
 
0.3%
Latin
ValueCountFrequency (%)
M 1
33.3%
G 1
33.3%
I 1
33.3%
Han
ValueCountFrequency (%)
前 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4449
92.3%
ASCII 370
 
7.7%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 744
 
16.7%
회 742
 
16.7%
성 85
 
1.9%
로 79
 
1.8%
장 71
 
1.6%
사 67
 
1.5%
복 67
 
1.5%
리 63
 
1.4%
인 60
 
1.3%
천 54
 
1.2%
Other values (292) 2417
54.3%
ASCII
ValueCountFrequency (%)
( 158
42.7%
) 157
42.4%
42
 
11.4%
3 3
 
0.8%
2 2
 
0.5%
1 2
 
0.5%
, 1
 
0.3%
. 1
 
0.3%
0 1
 
0.3%
M 1
 
0.3%
Other values (2) 2
 
0.5%
CJK
ValueCountFrequency (%)
前 1
100.0%

전화번호
Text

MISSING 

Distinct292
Distinct (%)99.7%
Missing483
Missing (%)62.2%
Memory size6.2 KiB
2024-03-18T12:35:19.641321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027304
Min length8

Characters and Unicode

Total characters3524
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

Unique291 ?
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%
032-576-0672 1
 
0.3%
032-568-1560 1
 
0.3%
032-573-0526 1
 
0.3%
032-579-1517 1
 
0.3%
032-579-5545 1
 
0.3%
032-579-3654 1
 
0.3%
032-571-9952 1
 
0.3%
032-208-0609 1
 
0.3%
032-572-1189 1
 
0.3%
Other values (282) 282
96.2%
2024-03-18T12:35:19.983576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 585
16.6%
0 492
14.0%
2 446
12.7%
3 407
11.5%
5 401
11.4%
6 260
7.4%
7 244
6.9%
1 232
 
6.6%
8 167
 
4.7%
9 164
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2939
83.4%
Dash Punctuation 585
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 492
16.7%
2 446
15.2%
3 407
13.8%
5 401
13.6%
6 260
8.8%
7 244
8.3%
1 232
7.9%
8 167
 
5.7%
9 164
 
5.6%
4 126
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 585
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 585
16.6%
0 492
14.0%
2 446
12.7%
3 407
11.5%
5 401
11.4%
6 260
7.4%
7 244
6.9%
1 232
 
6.6%
8 167
 
4.7%
9 164
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 585
16.6%
0 492
14.0%
2 446
12.7%
3 407
11.5%
5 401
11.4%
6 260
7.4%
7 244
6.9%
1 232
 
6.6%
8 167
 
4.7%
9 164
 
4.7%

주소
Text

Distinct773
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-03-18T12:35:20.264566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35.5
Mean length22.931701
Min length14

Characters and Unicode

Total characters17795
Distinct characters235
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

Unique771 ?
Unique (%)99.4%

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 777
22.4%
서구 777
22.4%
3층 59
 
1.7%
2층 51
 
1.5%
가정로 29
 
0.8%
승학로 27
 
0.8%
상가 20
 
0.6%
심곡로 20
 
0.6%
16 15
 
0.4%
5층 12
 
0.3%
Other values (1067) 1681
48.5%
2024-03-18T12:35:20.637841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2740
 
15.4%
서 855
 
4.8%
인 781
 
4.4%
천 781
 
4.4%
광 780
 
4.4%
시 778
 
4.4%
역 777
 
4.4%
구 777
 
4.4%
로 769
 
4.3%
1 746
 
4.2%
Other values (225) 8011
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10676
60.0%
Decimal Number 3424
 
19.2%
Space Separator 2740
 
15.4%
Other Punctuation 326
 
1.8%
Close Punctuation 212
 
1.2%
Open Punctuation 212
 
1.2%
Dash Punctuation 189
 
1.1%
Uppercase Letter 13
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 855
 
8.0%
인 781
 
7.3%
천 781
 
7.3%
광 780
 
7.3%
시 778
 
7.3%
역 777
 
7.3%
구 777
 
7.3%
로 769
 
7.2%
길 424
 
4.0%
번 409
 
3.8%
Other values (199) 3545
33.2%
Decimal Number
ValueCountFrequency (%)
1 746
21.8%
2 553
16.2%
3 453
13.2%
4 307
9.0%
0 248
 
7.2%
5 243
 
7.1%
7 238
 
7.0%
8 224
 
6.5%
6 221
 
6.5%
9 191
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
61.5%
R 1
 
7.7%
E 1
 
7.7%
M 1
 
7.7%
S 1
 
7.7%
F 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 324
99.4%
/ 1
 
0.3%
. 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
2740
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10676
60.0%
Common 7104
39.9%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 855
 
8.0%
인 781
 
7.3%
천 781
 
7.3%
광 780
 
7.3%
시 778
 
7.3%
역 777
 
7.3%
구 777
 
7.3%
로 769
 
7.2%
길 424
 
4.0%
번 409
 
3.8%
Other values (199) 3545
33.2%
Common
ValueCountFrequency (%)
2740
38.6%
1 746
 
10.5%
2 553
 
7.8%
3 453
 
6.4%
, 324
 
4.6%
4 307
 
4.3%
0 248
 
3.5%
5 243
 
3.4%
7 238
 
3.4%
8 224
 
3.2%
Other values (8) 1028
 
14.5%
Latin
ValueCountFrequency (%)
B 8
53.3%
e 1
 
6.7%
R 1
 
6.7%
E 1
 
6.7%
M 1
 
6.7%
S 1
 
6.7%
F 1
 
6.7%
a 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10676
60.0%
ASCII 7119
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2740
38.5%
1 746
 
10.5%
2 553
 
7.8%
3 453
 
6.4%
, 324
 
4.6%
4 307
 
4.3%
0 248
 
3.5%
5 243
 
3.4%
7 238
 
3.3%
8 224
 
3.1%
Other values (16) 1043
 
14.7%
Hangul
ValueCountFrequency (%)
서 855
 
8.0%
인 781
 
7.3%
천 781
 
7.3%
광 780
 
7.3%
시 778
 
7.3%
역 777
 
7.3%
구 777
 
7.3%
로 769
 
7.2%
길 424
 
4.0%
번 409
 
3.8%
Other values (199) 3545
33.2%

Interactions

2024-03-18T12:35:17.898593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:35:20.715055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.598
구분0.5981.000
2024-03-18T12:35:20.786424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.440
구분0.4401.000

Missing values

2024-03-18T12:35:18.096306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:35:18.237776image/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

연번구분시설명전화번호주소
01교회신생감리교회032-568-1560인천광역시 서구 승학로 537(검암동)
12교회예수비젼교회032-563-0019인천광역시 서구 검암로30번길 3-24(검암동)
23교회빛과소금교회032-575-2519인천광역시 서구 승학로566, 3층(검암동)
34교회호산나교회070-7531-6154인천광역시 서구 승학로 577, 301호(검암동)
45교회참길교회032-567-3950인천광역시 서구 승학로 551, 401호(검암동)
56교회새에덴교회032-567-6387인천광역시 서구 승학로 587, 4층(검암동)
67교회인천중앙교회<NA>인천광역시 서구 승학로 578, 401호(검암동)
78교회넷마을교회032-567-1165인천광역시 서구 검암로20번길52, 2층(검암동,삼보2차아파트상가)
89교회행복한성산교회<NA>인천광역시 서구 승학로584, 3층(검암동)
910교회서곶교회032-561-0432인천광역시 서구 승학로402번길 29-6
연번구분시설명전화번호주소
766767성당마리스텔라 성당032-280-1500인천광역시 서구 심곡로100번길 31
767768성당마전동 성당032-569-0170인천광역시 서구 청마로148번길46
768769성당원당동 성당032-569-2004인천광역시 서구 원당대로819번길 10
769770성당오류동 성당032-563-4655인천광역시 서구 봉화로85번길 38
770771성당가좌동 성당032-583-6460인천광역시 서구 장곡개로275번길 16
771772성당불로동 성당032-569-1004인천광역시 서구 고산후로 374
772773성당청라 성당032-568-2654인천광역시 서구 청라라임로 72
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