Overview

Dataset statistics

Number of variables5
Number of observations820
Missing cells455
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.0 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 부평구 종교시설 현황 데이터는 순번 종교구분(천주교, 기독교, 원불교, 불교, 개신교 등), 시설명, 주소, 전화번호 관련 데이터를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15117665/fileData.do

Alerts

종교구분(천주교_기독교_원불교_불교등) is highly imbalanced (80.3%)Imbalance
전화번호 has 455 (55.5%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:17:41.763771
Analysis finished2023-12-12 11:17:42.801311
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct820
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.5
Minimum1
Maximum820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-12T20:17:42.947957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.95
Q1205.75
median410.5
Q3615.25
95-th percentile779.05
Maximum820
Range819
Interquartile range (IQR)409.5

Descriptive statistics

Standard deviation236.8579
Coefficient of variation (CV)0.57699855
Kurtosis-1.2
Mean410.5
Median Absolute Deviation (MAD)205
Skewness0
Sum336610
Variance56101.667
MonotonicityStrictly increasing
2023-12-12T20:17:43.679764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
553 1
 
0.1%
543 1
 
0.1%
544 1
 
0.1%
545 1
 
0.1%
546 1
 
0.1%
547 1
 
0.1%
548 1
 
0.1%
549 1
 
0.1%
550 1
 
0.1%
Other values (810) 810
98.8%
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 (%)
820 1
0.1%
819 1
0.1%
818 1
0.1%
817 1
0.1%
816 1
0.1%
815 1
0.1%
814 1
0.1%
813 1
0.1%
812 1
0.1%
811 1
0.1%

종교구분(천주교_기독교_원불교_불교등)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
기독교
753 
불교
 
48
천주교
 
13
여호와의증인
 
4
이슬람
 
1

Length

Max length6
Median length3
Mean length2.9560976
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 753
91.8%
불교 48
 
5.9%
천주교 13
 
1.6%
여호와의증인 4
 
0.5%
이슬람 1
 
0.1%
원불교 1
 
0.1%

Length

2023-12-12T20:17:43.951965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:17:44.177780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 753
91.8%
불교 48
 
5.9%
천주교 13
 
1.6%
여호와의증인 4
 
0.5%
이슬람 1
 
0.1%
원불교 1
 
0.1%

시설명
Text

Distinct640
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T20:17:44.666406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length5.5280488
Min length3

Characters and Unicode

Total characters4533
Distinct characters334
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique541 ?
Unique (%)66.0%

Sample

1st row부광감리교회
2nd row큰빛영광교회
3rd row새언약교회
4th row꿈이있는교회
5th row산돌교회
ValueCountFrequency (%)
임마누엘교회 14
 
1.7%
행복한교회 8
 
1.0%
열방교회 6
 
0.7%
주사랑교회 6
 
0.7%
반석교회 5
 
0.6%
주님의교회 5
 
0.6%
벧엘교회 5
 
0.6%
축복교회 5
 
0.6%
한빛교회 4
 
0.5%
새소망교회 4
 
0.5%
Other values (644) 775
92.6%
2023-12-12T20:17:45.413246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 778
 
17.2%
회 761
 
16.8%
부 91
 
2.0%
사 83
 
1.8%
평 74
 
1.6%
복 71
 
1.6%
성 69
 
1.5%
천 55
 
1.2%
한 53
 
1.2%
예 51
 
1.1%
Other values (324) 2447
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4445
98.1%
Open Punctuation 22
 
0.5%
Close Punctuation 22
 
0.5%
Space Separator 17
 
0.4%
Uppercase Letter 16
 
0.4%
Decimal Number 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 778
 
17.5%
회 761
 
17.1%
부 91
 
2.0%
사 83
 
1.9%
평 74
 
1.7%
복 71
 
1.6%
성 69
 
1.6%
천 55
 
1.2%
한 53
 
1.2%
예 51
 
1.1%
Other values (305) 2359
53.1%
Uppercase Letter
ValueCountFrequency (%)
E 3
18.8%
N 2
12.5%
A 2
12.5%
H 2
12.5%
R 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
I 1
 
6.2%
O 1
 
6.2%
V 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
3 2
 
18.2%
1 2
 
18.2%
4 1
 
9.1%
9 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4445
98.1%
Common 72
 
1.6%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 778
 
17.5%
회 761
 
17.1%
부 91
 
2.0%
사 83
 
1.9%
평 74
 
1.7%
복 71
 
1.6%
성 69
 
1.6%
천 55
 
1.2%
한 53
 
1.2%
예 51
 
1.1%
Other values (305) 2359
53.1%
Latin
ValueCountFrequency (%)
E 3
18.8%
N 2
12.5%
A 2
12.5%
H 2
12.5%
R 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
I 1
 
6.2%
O 1
 
6.2%
V 1
 
6.2%
Common
ValueCountFrequency (%)
( 22
30.6%
) 22
30.6%
17
23.6%
2 5
 
6.9%
3 2
 
2.8%
1 2
 
2.8%
4 1
 
1.4%
9 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4445
98.1%
ASCII 88
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 778
 
17.5%
회 761
 
17.1%
부 91
 
2.0%
사 83
 
1.9%
평 74
 
1.7%
복 71
 
1.6%
성 69
 
1.6%
천 55
 
1.2%
한 53
 
1.2%
예 51
 
1.1%
Other values (305) 2359
53.1%
ASCII
ValueCountFrequency (%)
( 22
25.0%
) 22
25.0%
17
19.3%
2 5
 
5.7%
E 3
 
3.4%
3 2
 
2.3%
1 2
 
2.3%
N 2
 
2.3%
A 2
 
2.3%
H 2
 
2.3%
Other values (9) 9
10.2%

주소
Text

Distinct817
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T20:17:45.938410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36.5
Mean length25.026829
Min length11

Characters and Unicode

Total characters20522
Distinct characters177
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

Unique814 ?
Unique (%)99.3%

Sample

1st row인천광역시 부평구 부평대로63번길 15(부평동)
2nd row인천광역시 부평구 부평대로165번길 62(부평동)
3rd row인천광역시 부평구 경원대로1363번길 8, 2층
4th row인천광역시 부평구 부평대로17번길 5, 7층
5th row인천광역시 부평구 부평대로165번길 40, B1층
ValueCountFrequency (%)
인천광역시 818
22.0%
부평구 816
21.9%
2층 40
 
1.1%
3층 37
 
1.0%
경인로 36
 
1.0%
삼산동 31
 
0.8%
마장로 31
 
0.8%
십정동 29
 
0.8%
부개동 28
 
0.8%
2층(부개동 20
 
0.5%
Other values (1057) 1839
49.4%
2023-12-12T20:17:46.710557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2908
 
14.2%
부 1191
 
5.8%
평 1019
 
5.0%
천 919
 
4.5%
인 898
 
4.4%
광 822
 
4.0%
역 821
 
4.0%
시 821
 
4.0%
구 819
 
4.0%
로 814
 
4.0%
Other values (167) 9490
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12440
60.6%
Decimal Number 3513
 
17.1%
Space Separator 2908
 
14.2%
Open Punctuation 573
 
2.8%
Close Punctuation 573
 
2.8%
Other Punctuation 358
 
1.7%
Dash Punctuation 145
 
0.7%
Uppercase Letter 9
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1191
 
9.6%
평 1019
 
8.2%
천 919
 
7.4%
인 898
 
7.2%
광 822
 
6.6%
역 821
 
6.6%
시 821
 
6.6%
구 819
 
6.6%
로 814
 
6.5%
동 678
 
5.5%
Other values (142) 3638
29.2%
Decimal Number
ValueCountFrequency (%)
1 701
20.0%
2 547
15.6%
3 458
13.0%
4 396
11.3%
0 311
8.9%
5 250
 
7.1%
6 249
 
7.1%
7 207
 
5.9%
9 204
 
5.8%
8 190
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 4
44.4%
C 1
 
11.1%
A 1
 
11.1%
M 1
 
11.1%
S 1
 
11.1%
E 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 354
98.9%
* 2
 
0.6%
/ 1
 
0.3%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2908
100.0%
Open Punctuation
ValueCountFrequency (%)
( 573
100.0%
Close Punctuation
ValueCountFrequency (%)
) 573
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12440
60.6%
Common 8073
39.3%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1191
 
9.6%
평 1019
 
8.2%
천 919
 
7.4%
인 898
 
7.2%
광 822
 
6.6%
역 821
 
6.6%
시 821
 
6.6%
구 819
 
6.6%
로 814
 
6.5%
동 678
 
5.5%
Other values (142) 3638
29.2%
Common
ValueCountFrequency (%)
2908
36.0%
1 701
 
8.7%
( 573
 
7.1%
) 573
 
7.1%
2 547
 
6.8%
3 458
 
5.7%
4 396
 
4.9%
, 354
 
4.4%
0 311
 
3.9%
5 250
 
3.1%
Other values (9) 1002
 
12.4%
Latin
ValueCountFrequency (%)
B 4
44.4%
C 1
 
11.1%
A 1
 
11.1%
M 1
 
11.1%
S 1
 
11.1%
E 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12440
60.6%
ASCII 8082
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2908
36.0%
1 701
 
8.7%
( 573
 
7.1%
) 573
 
7.1%
2 547
 
6.8%
3 458
 
5.7%
4 396
 
4.9%
, 354
 
4.4%
0 311
 
3.8%
5 250
 
3.1%
Other values (15) 1011
 
12.5%
Hangul
ValueCountFrequency (%)
부 1191
 
9.6%
평 1019
 
8.2%
천 919
 
7.4%
인 898
 
7.2%
광 822
 
6.6%
역 821
 
6.6%
시 821
 
6.6%
구 819
 
6.6%
로 814
 
6.5%
동 678
 
5.5%
Other values (142) 3638
29.2%

전화번호
Text

MISSING 

Distinct362
Distinct (%)99.2%
Missing455
Missing (%)55.5%
Memory size6.5 KiB
2023-12-12T20:17:47.151187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038356
Min length12

Characters and Unicode

Total characters4394
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

Unique359 ?
Unique (%)98.4%

Sample

1st row032-527-5711
2nd row070-7301-8164
3rd row032-507-6091
4th row032-503-1609
5th row032-556-0633
ValueCountFrequency (%)
032-423-7905 2
 
0.5%
032-529-9621 2
 
0.5%
032-503-9101 2
 
0.5%
032-505-2048 1
 
0.3%
032-514-0507 1
 
0.3%
032-525-6747 1
 
0.3%
032-362-0095 1
 
0.3%
032-528-0062 1
 
0.3%
032-518-8384 1
 
0.3%
032-361-1433 1
 
0.3%
Other values (352) 352
96.4%
2023-12-12T20:17:47.846132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 730
16.6%
0 694
15.8%
2 672
15.3%
3 554
12.6%
5 428
9.7%
1 383
8.7%
9 220
 
5.0%
8 185
 
4.2%
7 183
 
4.2%
4 182
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3664
83.4%
Dash Punctuation 730
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 694
18.9%
2 672
18.3%
3 554
15.1%
5 428
11.7%
1 383
10.5%
9 220
 
6.0%
8 185
 
5.0%
7 183
 
5.0%
4 182
 
5.0%
6 163
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 730
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 730
16.6%
0 694
15.8%
2 672
15.3%
3 554
12.6%
5 428
9.7%
1 383
8.7%
9 220
 
5.0%
8 185
 
4.2%
7 183
 
4.2%
4 182
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 730
16.6%
0 694
15.8%
2 672
15.3%
3 554
12.6%
5 428
9.7%
1 383
8.7%
9 220
 
5.0%
8 185
 
4.2%
7 183
 
4.2%
4 182
 
4.1%

Interactions

2023-12-12T20:17:42.344677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:17:48.036856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종교구분(천주교_기독교_원불교_불교등)
순번1.0000.622
종교구분(천주교_기독교_원불교_불교등)0.6221.000
2023-12-12T20:17:48.187591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종교구분(천주교_기독교_원불교_불교등)
순번1.0000.387
종교구분(천주교_기독교_원불교_불교등)0.3871.000

Missing values

2023-12-12T20:17:42.531907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:17:42.714433image/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

순번종교구분(천주교_기독교_원불교_불교등)시설명주소전화번호
01기독교부광감리교회인천광역시 부평구 부평대로63번길 15(부평동)032-527-5711
12기독교큰빛영광교회인천광역시 부평구 부평대로165번길 62(부평동)<NA>
23기독교새언약교회인천광역시 부평구 경원대로1363번길 8, 2층070-7301-8164
34기독교꿈이있는교회인천광역시 부평구 부평대로17번길 5, 7층<NA>
45기독교산돌교회인천광역시 부평구 부평대로165번길 40, B1층032-507-6091
56기독교로뎀나무교회인천광역시 부평구 원적로486번길 32(부평동)032-503-1609
67기독교풍성한교회인천광역시 부평구 원적로471번길 5(부평동)<NA>
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812813천주교십정동성당인천광역시 부평구 배곶로 46032-421-2000
813814천주교부평2동성당인천광역시 부평구 동수로39번길20032-529-9621
814815이슬람한국이슬람교중앙회부평지회인천광역시 부평구 마장로 5(십정동)032-512-2612
815816여호와의증인여호와의증인의인천동암회중인천광역시 부평구 마장로 75(십정동)<NA>
816817여호와의증인여호와의증인의인천삼산동부회중인천광역시 부평구 영성중로 50, 404호(삼산동, 미래타워)<NA>
817818여호와의증인여호와의증인의인천일신회중인천광역시 부평구 수변로 8, 406호(부개동)<NA>
818819여호와의증인여호와의증인의인천갈산회중인천광역시 부평구 주부토로 231, 306호(갈산동)<NA>
819820원불교번개교당인천광역시 부평구 무네미로 447(일신동)032-501-9164