Overview

Dataset statistics

Number of variables5
Number of observations1509
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.5 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description전북특별자치도 전주시 내 종교시설을 제공하며, 시설명, 도로명주소 등을 제공합니다.항목 : 시설명, 구분, 도로명주소 등담당부서 : 문화유산과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15118002/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 번호High correlation
구분 is highly imbalanced (69.4%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:33:39.820335
Analysis finished2024-03-14 10:33:41.310009
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1509
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean755
Minimum1
Maximum1509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-14T19:33:41.523798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile76.4
Q1378
median755
Q31132
95-th percentile1433.6
Maximum1509
Range1508
Interquartile range (IQR)754

Descriptive statistics

Standard deviation435.75509
Coefficient of variation (CV)0.57715906
Kurtosis-1.2
Mean755
Median Absolute Deviation (MAD)377
Skewness0
Sum1139295
Variance189882.5
MonotonicityStrictly increasing
2024-03-14T19:33:41.978611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1004 1
 
0.1%
1013 1
 
0.1%
1012 1
 
0.1%
1011 1
 
0.1%
1010 1
 
0.1%
1009 1
 
0.1%
1008 1
 
0.1%
1007 1
 
0.1%
1006 1
 
0.1%
Other values (1499) 1499
99.3%
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 (%)
1509 1
0.1%
1508 1
0.1%
1507 1
0.1%
1506 1
0.1%
1505 1
0.1%
1504 1
0.1%
1503 1
0.1%
1502 1
0.1%
1501 1
0.1%
1500 1
0.1%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
개신교
1354 
불교
 
97
천주교
 
36
원불교
 
22

Length

Max length3
Median length3
Mean length2.935719
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개신교 1354
89.7%
불교 97
 
6.4%
천주교 36
 
2.4%
원불교 22
 
1.5%

Length

2024-03-14T19:33:42.428855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:33:42.746732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개신교 1354
89.7%
불교 97
 
6.4%
천주교 36
 
2.4%
원불교 22
 
1.5%

시설명
Text

Distinct1265
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2024-03-14T19:33:43.713820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length6.7501657
Min length2

Characters and Unicode

Total characters10186
Distinct characters385
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1101 ?
Unique (%)73.0%

Sample

1st row대한예수교장로회 주뜻사랑교회
2nd row창신교회
3rd row하나님의교회 세계복음선교협회 전주덕진교회
4th row하나님의교회 세계복음선교협회 전주제2덕진교회
5th row하나님의교회 세계복음선교협회 전주호성교회
ValueCountFrequency (%)
대한예수교장로회 57
 
3.3%
교회 26
 
1.5%
행복한교회 9
 
0.5%
소망교회 9
 
0.5%
전주 7
 
0.4%
아름다운교회 7
 
0.4%
사랑의교회 7
 
0.4%
기독교대한감리회 6
 
0.4%
천주교 6
 
0.4%
새생명교회 6
 
0.4%
Other values (1248) 1574
91.8%
2024-03-14T19:33:44.948375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1646
 
16.2%
회 1545
 
15.2%
주 433
 
4.3%
전 368
 
3.6%
276
 
2.7%
한 266
 
2.6%
예 205
 
2.0%
대 199
 
2.0%
수 171
 
1.7%
성 167
 
1.6%
Other values (375) 4910
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9860
96.8%
Space Separator 276
 
2.7%
Close Punctuation 23
 
0.2%
Open Punctuation 22
 
0.2%
Decimal Number 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1646
 
16.7%
회 1545
 
15.7%
주 433
 
4.4%
전 368
 
3.7%
한 266
 
2.7%
예 205
 
2.1%
대 199
 
2.0%
수 171
 
1.7%
성 167
 
1.7%
사 156
 
1.6%
Other values (365) 4704
47.7%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
2 1
33.3%
8 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 22
95.7%
） 1
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 21
95.5%
（ 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
! 1
50.0%
Space Separator
ValueCountFrequency (%)
276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9860
96.8%
Common 326
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1646
 
16.7%
회 1545
 
15.7%
주 433
 
4.4%
전 368
 
3.7%
한 266
 
2.7%
예 205
 
2.1%
대 199
 
2.0%
수 171
 
1.7%
성 167
 
1.7%
사 156
 
1.6%
Other values (365) 4704
47.7%
Common
ValueCountFrequency (%)
276
84.7%
) 22
 
6.7%
( 21
 
6.4%
. 1
 
0.3%
4 1
 
0.3%
2 1
 
0.3%
） 1
 
0.3%
（ 1
 
0.3%
8 1
 
0.3%
! 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9860
96.8%
ASCII 324
 
3.2%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1646
 
16.7%
회 1545
 
15.7%
주 433
 
4.4%
전 368
 
3.7%
한 266
 
2.7%
예 205
 
2.1%
대 199
 
2.0%
수 171
 
1.7%
성 167
 
1.7%
사 156
 
1.6%
Other values (365) 4704
47.7%
ASCII
ValueCountFrequency (%)
276
85.2%
) 22
 
6.8%
( 21
 
6.5%
. 1
 
0.3%
4 1
 
0.3%
2 1
 
0.3%
8 1
 
0.3%
! 1
 
0.3%
None
ValueCountFrequency (%)
） 1
50.0%
（ 1
50.0%

도로명 주소
Text

Distinct1481
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2024-03-14T19:33:46.470623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length57
Mean length32.029158
Min length21

Characters and Unicode

Total characters48332
Distinct characters432
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1453 ?
Unique (%)96.3%

Sample

1st row전북특별자치도 전주시 덕진구 우아로 22 2층
2nd row전북특별자치도 전주시 완산구 학봉2길 11-1 진흥하이츠상가 301호
3rd row전북특별자치도 전주시 덕진구 동부대로 625 하나님의교회
4th row전북특별자치도 전주시 덕진구 안덕원로 115 3층 하나님의교회
5th row전북특별자치도 전주시 덕진구 동부대로 927 전북특별자치도 전주시 덕진구 동부대로 927 하나님의 교회
ValueCountFrequency (%)
전주시 1573
 
16.2%
전북특별자치도 1538
 
15.8%
완산구 884
 
9.1%
덕진구 687
 
7.1%
2층 216
 
2.2%
1층 87
 
0.9%
3층 82
 
0.8%
4층 28
 
0.3%
견훤로 25
 
0.3%
백제대로 25
 
0.3%
Other values (2422) 4560
47.0%
2024-03-14T19:33:48.323769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8288
 
17.1%
전 3408
 
7.1%
주 1865
 
3.9%
구 1621
 
3.4%
자 1609
 
3.3%
시 1607
 
3.3%
북 1583
 
3.3%
도 1578
 
3.3%
치 1549
 
3.2%
별 1546
 
3.2%
Other values (422) 23678
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32427
67.1%
Space Separator 8288
 
17.1%
Decimal Number 6643
 
13.7%
Dash Punctuation 717
 
1.5%
Open Punctuation 97
 
0.2%
Close Punctuation 95
 
0.2%
Other Punctuation 48
 
0.1%
Uppercase Letter 11
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 3408
 
10.5%
주 1865
 
5.8%
구 1621
 
5.0%
자 1609
 
5.0%
시 1607
 
5.0%
북 1583
 
4.9%
도 1578
 
4.9%
치 1549
 
4.8%
별 1546
 
4.8%
특 1545
 
4.8%
Other values (396) 14516
44.8%
Decimal Number
ValueCountFrequency (%)
1 1534
23.1%
2 1218
18.3%
3 836
12.6%
4 570
 
8.6%
5 568
 
8.6%
0 466
 
7.0%
6 443
 
6.7%
7 387
 
5.8%
8 334
 
5.0%
9 287
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
A 4
36.4%
G 1
 
9.1%
L 1
 
9.1%
C 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 29
60.4%
. 12
25.0%
/ 5
 
10.4%
@ 2
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 96
99.0%
{ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 94
98.9%
} 1
 
1.1%
Space Separator
ValueCountFrequency (%)
8288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 717
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32427
67.1%
Common 15894
32.9%
Latin 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 3408
 
10.5%
주 1865
 
5.8%
구 1621
 
5.0%
자 1609
 
5.0%
시 1607
 
5.0%
북 1583
 
4.9%
도 1578
 
4.9%
치 1549
 
4.8%
별 1546
 
4.8%
특 1545
 
4.8%
Other values (396) 14516
44.8%
Common
ValueCountFrequency (%)
8288
52.1%
1 1534
 
9.7%
2 1218
 
7.7%
3 836
 
5.3%
- 717
 
4.5%
4 570
 
3.6%
5 568
 
3.6%
0 466
 
2.9%
6 443
 
2.8%
7 387
 
2.4%
Other values (11) 867
 
5.5%
Latin
ValueCountFrequency (%)
B 4
36.4%
A 4
36.4%
G 1
 
9.1%
L 1
 
9.1%
C 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32421
67.1%
ASCII 15905
32.9%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8288
52.1%
1 1534
 
9.6%
2 1218
 
7.7%
3 836
 
5.3%
- 717
 
4.5%
4 570
 
3.6%
5 568
 
3.6%
0 466
 
2.9%
6 443
 
2.8%
7 387
 
2.4%
Other values (16) 878
 
5.5%
Hangul
ValueCountFrequency (%)
전 3408
 
10.5%
주 1865
 
5.8%
구 1621
 
5.0%
자 1609
 
5.0%
시 1607
 
5.0%
북 1583
 
4.9%
도 1578
 
4.9%
치 1549
 
4.8%
별 1546
 
4.8%
특 1545
 
4.8%
Other values (393) 14510
44.8%
Compat Jamo
ValueCountFrequency (%)
ㅡ 3
50.0%
ㅎ 2
33.3%
ㄴ 1
 
16.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2024-01-11
1509 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-11
2nd row2024-01-11
3rd row2024-01-11
4th row2024-01-11
5th row2024-01-11

Common Values

ValueCountFrequency (%)
2024-01-11 1509
100.0%

Length

2024-03-14T19:33:48.557796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:33:48.726900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-11 1509
100.0%

Interactions

2024-03-14T19:33:40.501869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:33:48.826523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.756
구분0.7561.000
2024-03-14T19:33:48.964294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.566
구분0.5661.000

Missing values

2024-03-14T19:33:40.860067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:33:41.177273image/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

번호구분시설명도로명 주소데이터기준일자
01개신교대한예수교장로회 주뜻사랑교회전북특별자치도 전주시 덕진구 우아로 22 2층2024-01-11
12개신교창신교회전북특별자치도 전주시 완산구 학봉2길 11-1 진흥하이츠상가 301호2024-01-11
23개신교하나님의교회 세계복음선교협회 전주덕진교회전북특별자치도 전주시 덕진구 동부대로 625 하나님의교회2024-01-11
34개신교하나님의교회 세계복음선교협회 전주제2덕진교회전북특별자치도 전주시 덕진구 안덕원로 115 3층 하나님의교회2024-01-11
45개신교하나님의교회 세계복음선교협회 전주호성교회전북특별자치도 전주시 덕진구 동부대로 927 전북특별자치도 전주시 덕진구 동부대로 927 하나님의 교회2024-01-11
56개신교예수교대한성결교회 희망찬혁신교회전북특별자치도 전주시 완산구 밤나무1길 8 1층2024-01-11
67개신교원월드교회전북특별자치도 전주시 완산구 홍산북로 83 상가동 B101호(효자동3가, 코오롱스카이타워)2024-01-11
78개신교지명교회전북특별자치도 전주시 완산구 신촌3길 10 3층 지명교회2024-01-11
89개신교하늘평안교회전북특별자치도 전주시 완산구 상거마1길 3 3층2024-01-11
910개신교세계기독교통일신령협회 전주교회전북특별자치도 전주시 덕진구 팔달로 338 3382024-01-11
번호구분시설명도로명 주소데이터기준일자
14991500원불교서곡교당전북특별자치도 전주시 완산구 서곡로 56, 3층2024-01-11
15001501원불교문정교당전북특별자치도 전주시 완산구 모악로 4678, 5층2024-01-11
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