Overview

Dataset statistics

Number of variables6
Number of observations367
Missing cells135
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description서울특별시 중랑구의 종교시설 현황입니다. 구분, 시설명, 전화번호, 주소, 데이터기준일자를 제공합니다. 업무에 참고해주시기 바랍니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15117702/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
구분 is highly imbalanced (69.5%)Imbalance
전화번호 has 135 (36.8%) missing valuesMissing
연번 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-04-20 21:59:05.768548
Analysis finished2024-04-20 21:59:06.697103
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct367
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184
Minimum1
Maximum367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T06:59:06.916560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.3
Q192.5
median184
Q3275.5
95-th percentile348.7
Maximum367
Range366
Interquartile range (IQR)183

Descriptive statistics

Standard deviation106.08801
Coefficient of variation (CV)0.57656529
Kurtosis-1.2
Mean184
Median Absolute Deviation (MAD)92
Skewness0
Sum67528
Variance11254.667
MonotonicityStrictly increasing
2024-04-21T06:59:07.566783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
243 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
Other values (357) 357
97.3%
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 (%)
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
개신교
327 
불교
 
29
천주교
 
9
원불교
 
2

Length

Max length3
Median length3
Mean length2.9209809
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개신교 327
89.1%
불교 29
 
7.9%
천주교 9
 
2.5%
원불교 2
 
0.5%

Length

2024-04-21T06:59:07.996357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:59:08.330368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개신교 327
89.1%
불교 29
 
7.9%
천주교 9
 
2.5%
원불교 2
 
0.5%

시설명
Text

Distinct316
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-21T06:59:09.260895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.0980926
Min length3

Characters and Unicode

Total characters1871
Distinct characters233
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)76.8%

Sample

1st row금란교회
2nd row영안교회
3rd row영세교회
4th row대광교회
5th row예정교회
ValueCountFrequency (%)
교회 13
 
3.3%
임마누엘교회 8
 
2.0%
천주교 7
 
1.8%
평강교회 5
 
1.3%
승리교회 5
 
1.3%
산돌교회 3
 
0.8%
실로암교회 3
 
0.8%
충만교회 3
 
0.8%
밝은빛교회 3
 
0.8%
생명수교회 3
 
0.8%
Other values (313) 344
86.6%
2024-04-21T06:59:10.402180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 335
 
17.9%
회 329
 
17.6%
사 46
 
2.5%
성 44
 
2.4%
32
 
1.7%
동 30
 
1.6%
은 28
 
1.5%
한 25
 
1.3%
복 24
 
1.3%
주 24
 
1.3%
Other values (223) 954
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1834
98.0%
Space Separator 32
 
1.7%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 335
 
18.3%
회 329
 
17.9%
사 46
 
2.5%
성 44
 
2.4%
동 30
 
1.6%
은 28
 
1.5%
한 25
 
1.4%
복 24
 
1.3%
주 24
 
1.3%
리 23
 
1.3%
Other values (219) 926
50.5%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1834
98.0%
Common 36
 
1.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 335
 
18.3%
회 329
 
17.9%
사 46
 
2.5%
성 44
 
2.4%
동 30
 
1.6%
은 28
 
1.5%
한 25
 
1.4%
복 24
 
1.3%
주 24
 
1.3%
리 23
 
1.3%
Other values (219) 926
50.5%
Common
ValueCountFrequency (%)
32
88.9%
) 2
 
5.6%
( 2
 
5.6%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1834
98.0%
ASCII 37
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 335
 
18.3%
회 329
 
17.9%
사 46
 
2.5%
성 44
 
2.4%
동 30
 
1.6%
은 28
 
1.5%
한 25
 
1.4%
복 24
 
1.3%
주 24
 
1.3%
리 23
 
1.3%
Other values (219) 926
50.5%
ASCII
ValueCountFrequency (%)
32
86.5%
) 2
 
5.4%
( 2
 
5.4%
N 1
 
2.7%

전화번호
Text

MISSING 

Distinct229
Distinct (%)98.7%
Missing135
Missing (%)36.8%
Memory size3.0 KiB
2024-04-21T06:59:11.295318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.491379
Min length1

Characters and Unicode

Total characters2666
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)97.4%

Sample

1st row02-490-7000
2nd row02-3423-0451
3rd row02-439-5004
4th row02-3421-4778
5th row02-435-0541
ValueCountFrequency (%)
02-432-1258 2
 
0.9%
02-2209-2083 2
 
0.9%
02-439-5004 2
 
0.9%
02-496-1770 1
 
0.4%
02-433-6911 1
 
0.4%
02-6449-7782 1
 
0.4%
02-817-7507 1
 
0.4%
02-490-7000 1
 
0.4%
02-6497-6691 1
 
0.4%
02-558-4314 1
 
0.4%
Other values (219) 219
94.4%
2024-04-21T06:59:12.413528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 460
17.3%
0 418
15.7%
2 396
14.9%
4 276
10.4%
3 240
9.0%
9 197
7.4%
1 160
 
6.0%
7 149
 
5.6%
5 116
 
4.4%
8 114
 
4.3%
Other values (2) 140
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2177
81.7%
Dash Punctuation 460
 
17.3%
Space Separator 29
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 418
19.2%
2 396
18.2%
4 276
12.7%
3 240
11.0%
9 197
9.0%
1 160
 
7.3%
7 149
 
6.8%
5 116
 
5.3%
8 114
 
5.2%
6 111
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 460
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2666
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 460
17.3%
0 418
15.7%
2 396
14.9%
4 276
10.4%
3 240
9.0%
9 197
7.4%
1 160
 
6.0%
7 149
 
5.6%
5 116
 
4.4%
8 114
 
4.3%
Other values (2) 140
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 460
17.3%
0 418
15.7%
2 396
14.9%
4 276
10.4%
3 240
9.0%
9 197
7.4%
1 160
 
6.0%
7 149
 
5.6%
5 116
 
4.4%
8 114
 
4.3%
Other values (2) 140
 
5.3%

주소
Text

UNIQUE 

Distinct367
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-21T06:59:13.413037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length27
Mean length19.929155
Min length15

Characters and Unicode

Total characters7314
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique367 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 망우로 455
2nd row서울특별시 중랑구 신내로15길 179
3rd row서울특별시 중랑구 동일로 140길 7-12
4th row서울특별시 중랑구 신내로 131
5th row서울특별시 중랑구 봉우재로 79
ValueCountFrequency (%)
중랑구 374
24.9%
서울특별시 367
24.4%
용마산로 27
 
1.8%
동일로 25
 
1.7%
중랑역로 19
 
1.3%
면목로 17
 
1.1%
3층 15
 
1.0%
신내로 13
 
0.9%
2층 12
 
0.8%
망우로 11
 
0.7%
Other values (448) 624
41.5%
2024-04-21T06:59:14.889366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1236
16.9%
중 423
 
5.8%
랑 414
 
5.7%
구 374
 
5.1%
서 368
 
5.0%
울 368
 
5.0%
시 367
 
5.0%
별 367
 
5.0%
특 367
 
5.0%
로 365
 
5.0%
Other values (91) 2665
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4594
62.8%
Decimal Number 1388
 
19.0%
Space Separator 1236
 
16.9%
Dash Punctuation 55
 
0.8%
Other Punctuation 25
 
0.3%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 423
9.2%
랑 414
9.0%
구 374
 
8.1%
서 368
 
8.0%
울 368
 
8.0%
시 367
 
8.0%
별 367
 
8.0%
특 367
 
8.0%
로 365
 
7.9%
길 202
 
4.4%
Other values (75) 979
21.3%
Decimal Number
ValueCountFrequency (%)
1 263
18.9%
2 186
13.4%
3 171
12.3%
5 135
9.7%
4 130
9.4%
0 115
8.3%
6 109
7.9%
7 102
 
7.3%
9 92
 
6.6%
8 85
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 24
96.0%
@ 1
 
4.0%
Space Separator
ValueCountFrequency (%)
1236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4594
62.8%
Common 2720
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 423
9.2%
랑 414
9.0%
구 374
 
8.1%
서 368
 
8.0%
울 368
 
8.0%
시 367
 
8.0%
별 367
 
8.0%
특 367
 
8.0%
로 365
 
7.9%
길 202
 
4.4%
Other values (75) 979
21.3%
Common
ValueCountFrequency (%)
1236
45.4%
1 263
 
9.7%
2 186
 
6.8%
3 171
 
6.3%
5 135
 
5.0%
4 130
 
4.8%
0 115
 
4.2%
6 109
 
4.0%
7 102
 
3.8%
9 92
 
3.4%
Other values (6) 181
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4594
62.8%
ASCII 2720
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1236
45.4%
1 263
 
9.7%
2 186
 
6.8%
3 171
 
6.3%
5 135
 
5.0%
4 130
 
4.8%
0 115
 
4.2%
6 109
 
4.0%
7 102
 
3.8%
9 92
 
3.4%
Other values (6) 181
 
6.7%
Hangul
ValueCountFrequency (%)
중 423
9.2%
랑 414
9.0%
구 374
 
8.1%
서 368
 
8.0%
울 368
 
8.0%
시 367
 
8.0%
별 367
 
8.0%
특 367
 
8.0%
로 365
 
7.9%
길 202
 
4.4%
Other values (75) 979
21.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2023-08-02 00:00:00
Maximum2023-08-02 00:00:00
2024-04-21T06:59:15.079331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T06:59:15.239222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T06:59:06.201327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T06:59:15.360543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.744
구분0.7441.000
2024-04-21T06:59:15.494129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.547
구분0.5471.000

Missing values

2024-04-21T06:59:06.417814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T06:59:06.604189image/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

연번구분시설명전화번호주소데이터기준일자
01개신교금란교회02-490-7000서울특별시 중랑구 망우로 4552023-08-02
12개신교영안교회02-3423-0451서울특별시 중랑구 신내로15길 1792023-08-02
23개신교영세교회02-439-5004서울특별시 중랑구 동일로 140길 7-122023-08-02
34개신교대광교회02-3421-4778서울특별시 중랑구 신내로 1312023-08-02
45개신교예정교회02-435-0541서울특별시 중랑구 봉우재로 792023-08-02
56개신교진광교회02-494-9944서울특별시 중랑구 사가정로41길 342023-08-02
67개신교경동제일교회02-2209-5441서울특별시 중랑구 봉화산로 912023-08-02
78개신교동일교회02-2208-0811서울특별시 중랑구 면목로35길 212023-08-02
89개신교대망교회02-438-7841서울특별시 중랑구 상봉로 32023-08-02
910개신교목천교회02-434-0153서울특별시 중랑구 용마산로 4322023-08-02
연번구분시설명전화번호주소데이터기준일자
357358불교성운사02-495-8135서울특별시 중랑구 용마산로52길 18-72023-08-02
358359불교대광사02-435-9618서울특별시 중랑구 용마산로94길 64-492023-08-02
359360불교영산법화사02-433-0473서울특별시 중랑구 겸재로27길 71-22023-08-02
360361불교성도사02-433-9266서울특별시 중랑구 용마산로58길 432023-08-02
361362불교용마관음사02-496-3952서울특별시 중랑구 용마공원로5길28-72023-08-02
362363불교천태사02-433-6911서울특별시 중랑구 용마공원로592023-08-02
363364불교기원정사02-496-1770서울특별시 중랑구 동일로129길 13-62023-08-02
364365불교정심사02-491-6888서울특별시 중랑구 면목로95길 262023-08-02
365366원불교면목교당02-433-9050서울특별시 중랑구 면목로60길 292023-08-02
366367원불교유린교당02-433-1472서울특별시 중랑구 신내로10길 162023-08-02