Overview

Dataset statistics

Number of variables9
Number of observations326
Missing cells10
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.0 KiB
Average record size in memory75.4 B

Variable types

Numeric3
Categorical3
Text3

Dataset

Description충청남도 보령시의 종교시설 현황 데이터를 제공합니다. 종교별(기독교, 불교, 천주교, 수양관, 기도원), 종교 시설명, 종교시설의 도로명 주소, 종교시설의 지번주소, 위도, 경도 컬럼으로 구성되어 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=98&beforeMenuCd=DOM_000000201001001000&publicdatapk=15103994

Alerts

시군 has constant value ""Constant
데이터기준일 has constant value ""Constant
종교별 is highly imbalanced (58.5%)Imbalance
도로명 주소 has 6 (1.8%) missing valuesMissing
지번주소 has 4 (1.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:11:26.042146
Analysis finished2024-01-09 22:11:27.341037
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.5
Minimum1
Maximum326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T07:11:27.397060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.25
Q182.25
median163.5
Q3244.75
95-th percentile309.75
Maximum326
Range325
Interquartile range (IQR)162.5

Descriptive statistics

Standard deviation94.252321
Coefficient of variation (CV)0.57646679
Kurtosis-1.2
Mean163.5
Median Absolute Deviation (MAD)81.5
Skewness0
Sum53301
Variance8883.5
MonotonicityStrictly increasing
2024-01-10T07:11:27.506166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
Other values (316) 316
96.9%
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 (%)
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
보령시
326 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 326
100.0%

Length

2024-01-10T07:11:27.605516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:11:27.675629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 326
100.0%

종교별
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
기독교
240 
불교
58 
기도원
 
12
천주교
 
7
수양관
 
6
Other values (3)
 
3

Length

Max length3
Median length3
Mean length2.8220859
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 240
73.6%
불교 58
 
17.8%
기도원 12
 
3.7%
천주교 7
 
2.1%
수양관 6
 
1.8%
통일교 1
 
0.3%
원불교 1
 
0.3%
이슬람 1
 
0.3%

Length

2024-01-10T07:11:27.751268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:11:27.849007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 240
73.6%
불교 58
 
17.8%
기도원 12
 
3.7%
천주교 7
 
2.1%
수양관 6
 
1.8%
통일교 1
 
0.3%
원불교 1
 
0.3%
이슬람 1
 
0.3%

시설명
Text

Distinct306
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-01-10T07:11:28.060351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.8803681
Min length3

Characters and Unicode

Total characters1591
Distinct characters218
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)89.6%

Sample

1st row웅천제일교회
2nd row무창포침례교회
3rd row무창포교회
4th row소황교회
5th row열린교회
ValueCountFrequency (%)
대천제일교회 5
 
1.5%
소망교회 3
 
0.9%
벧엘교회 3
 
0.9%
관음사 3
 
0.9%
벧엘기도원 2
 
0.6%
대천교회 2
 
0.6%
성광교회 2
 
0.6%
주포교회 2
 
0.6%
미륵사 2
 
0.6%
열린교회 2
 
0.6%
Other values (302) 306
92.2%
2024-01-10T07:11:28.363367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 257
 
16.2%
회 246
 
15.5%
천 58
 
3.6%
대 52
 
3.3%
사 48
 
3.0%
성 29
 
1.8%
도 29
 
1.8%
보 25
 
1.6%
주 25
 
1.6%
산 22
 
1.4%
Other values (208) 800
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1585
99.6%
Space Separator 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 257
 
16.2%
회 246
 
15.5%
천 58
 
3.7%
대 52
 
3.3%
사 48
 
3.0%
성 29
 
1.8%
도 29
 
1.8%
보 25
 
1.6%
주 25
 
1.6%
산 22
 
1.4%
Other values (207) 794
50.1%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1585
99.6%
Common 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 257
 
16.2%
회 246
 
15.5%
천 58
 
3.7%
대 52
 
3.3%
사 48
 
3.0%
성 29
 
1.8%
도 29
 
1.8%
보 25
 
1.6%
주 25
 
1.6%
산 22
 
1.4%
Other values (207) 794
50.1%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1585
99.6%
ASCII 6
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 257
 
16.2%
회 246
 
15.5%
천 58
 
3.7%
대 52
 
3.3%
사 48
 
3.0%
성 29
 
1.8%
도 29
 
1.8%
보 25
 
1.6%
주 25
 
1.6%
산 22
 
1.4%
Other values (207) 794
50.1%
ASCII
ValueCountFrequency (%)
6
100.0%

도로명 주소
Text

MISSING 

Distinct316
Distinct (%)98.8%
Missing6
Missing (%)1.8%
Memory size2.7 KiB
2024-01-10T07:11:28.648809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.234375
Min length14

Characters and Unicode

Total characters6475
Distinct characters221
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

Unique313 ?
Unique (%)97.8%

Sample

1st row충청남도 보령시 웅천읍 방축길 108
2nd row충청남도 보령시 웅천읍 간드리3길 37
3rd row충청남도 보령시 웅천읍 열린바다로 267
4th row충청남도 보령시 웅천읍 죽청로 240
5th row충청남도 보령시 웅천읍 구장터 3길 4
ValueCountFrequency (%)
충청남도 320
21.2%
보령시 320
21.2%
청라면 34
 
2.2%
웅천읍 30
 
2.0%
오천면 28
 
1.9%
남포면 28
 
1.9%
주교면 26
 
1.7%
미산면 18
 
1.2%
천북면 17
 
1.1%
청소면 13
 
0.9%
Other values (484) 679
44.9%
2024-01-10T07:11:29.043520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1195
18.5%
청 380
 
5.9%
남 363
 
5.6%
도 339
 
5.2%
보 329
 
5.1%
령 328
 
5.1%
시 328
 
5.1%
충 324
 
5.0%
길 235
 
3.6%
1 234
 
3.6%
Other values (211) 2420
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4103
63.4%
Space Separator 1195
 
18.5%
Decimal Number 1057
 
16.3%
Dash Punctuation 117
 
1.8%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 380
 
9.3%
남 363
 
8.8%
도 339
 
8.3%
보 329
 
8.0%
령 328
 
8.0%
시 328
 
8.0%
충 324
 
7.9%
길 235
 
5.7%
면 193
 
4.7%
천 101
 
2.5%
Other values (196) 1183
28.8%
Decimal Number
ValueCountFrequency (%)
1 234
22.1%
2 147
13.9%
3 119
11.3%
4 104
9.8%
7 86
 
8.1%
8 77
 
7.3%
5 74
 
7.0%
6 74
 
7.0%
0 73
 
6.9%
9 69
 
6.5%
Space Separator
ValueCountFrequency (%)
1195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4103
63.4%
Common 2372
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 380
 
9.3%
남 363
 
8.8%
도 339
 
8.3%
보 329
 
8.0%
령 328
 
8.0%
시 328
 
8.0%
충 324
 
7.9%
길 235
 
5.7%
면 193
 
4.7%
천 101
 
2.5%
Other values (196) 1183
28.8%
Common
ValueCountFrequency (%)
1195
50.4%
1 234
 
9.9%
2 147
 
6.2%
3 119
 
5.0%
- 117
 
4.9%
4 104
 
4.4%
7 86
 
3.6%
8 77
 
3.2%
5 74
 
3.1%
6 74
 
3.1%
Other values (5) 145
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4103
63.4%
ASCII 2372
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1195
50.4%
1 234
 
9.9%
2 147
 
6.2%
3 119
 
5.0%
- 117
 
4.9%
4 104
 
4.4%
7 86
 
3.6%
8 77
 
3.2%
5 74
 
3.1%
6 74
 
3.1%
Other values (5) 145
 
6.1%
Hangul
ValueCountFrequency (%)
청 380
 
9.3%
남 363
 
8.8%
도 339
 
8.3%
보 329
 
8.0%
령 328
 
8.0%
시 328
 
8.0%
충 324
 
7.9%
길 235
 
5.7%
면 193
 
4.7%
천 101
 
2.5%
Other values (196) 1183
28.8%

지번주소
Text

MISSING 

Distinct318
Distinct (%)98.8%
Missing4
Missing (%)1.2%
Memory size2.7 KiB
2024-01-10T07:11:29.248528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length20.720497
Min length16

Characters and Unicode

Total characters6672
Distinct characters116
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)97.8%

Sample

1st row충청남도 보령시 웅천읍 대창리 445-2
2nd row충청남도 보령시 웅천읍 관당리 393-3
3rd row충청남도 보령시 웅천읍 관당리 779-3
4th row충청남도 보령시 웅천읍 황교리 608-13
5th row충청남도 보령시 웅천읍 대천리 151-1
ValueCountFrequency (%)
보령시 322
20.9%
충청남도 321
20.8%
청라면 35
 
2.3%
웅천읍 29
 
1.9%
산 29
 
1.9%
남포면 28
 
1.8%
오천면 28
 
1.8%
주교면 26
 
1.7%
대천동 26
 
1.7%
동대동 23
 
1.5%
Other values (418) 677
43.8%
2024-01-10T07:11:29.580077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1222
18.3%
청 371
 
5.6%
남 352
 
5.3%
도 341
 
5.1%
보 328
 
4.9%
시 327
 
4.9%
령 324
 
4.9%
충 322
 
4.8%
- 255
 
3.8%
리 225
 
3.4%
Other values (106) 2605
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3950
59.2%
Decimal Number 1243
 
18.6%
Space Separator 1222
 
18.3%
Dash Punctuation 255
 
3.8%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 371
 
9.4%
남 352
 
8.9%
도 341
 
8.6%
보 328
 
8.3%
시 327
 
8.3%
령 324
 
8.2%
충 322
 
8.2%
리 225
 
5.7%
면 196
 
5.0%
동 130
 
3.3%
Other values (92) 1034
26.2%
Decimal Number
ValueCountFrequency (%)
1 205
16.5%
2 176
14.2%
7 132
10.6%
5 128
10.3%
4 123
9.9%
3 118
9.5%
6 105
8.4%
9 97
7.8%
8 82
 
6.6%
0 77
 
6.2%
Space Separator
ValueCountFrequency (%)
1222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3950
59.2%
Common 2722
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 371
 
9.4%
남 352
 
8.9%
도 341
 
8.6%
보 328
 
8.3%
시 327
 
8.3%
령 324
 
8.2%
충 322
 
8.2%
리 225
 
5.7%
면 196
 
5.0%
동 130
 
3.3%
Other values (92) 1034
26.2%
Common
ValueCountFrequency (%)
1222
44.9%
- 255
 
9.4%
1 205
 
7.5%
2 176
 
6.5%
7 132
 
4.8%
5 128
 
4.7%
4 123
 
4.5%
3 118
 
4.3%
6 105
 
3.9%
9 97
 
3.6%
Other values (4) 161
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3950
59.2%
ASCII 2722
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1222
44.9%
- 255
 
9.4%
1 205
 
7.5%
2 176
 
6.5%
7 132
 
4.8%
5 128
 
4.7%
4 123
 
4.5%
3 118
 
4.3%
6 105
 
3.9%
9 97
 
3.6%
Other values (4) 161
 
5.9%
Hangul
ValueCountFrequency (%)
청 371
 
9.4%
남 352
 
8.9%
도 341
 
8.6%
보 328
 
8.3%
시 327
 
8.3%
령 324
 
8.2%
충 322
 
8.2%
리 225
 
5.7%
면 196
 
5.0%
동 130
 
3.3%
Other values (92) 1034
26.2%

위도
Real number (ℝ)

Distinct321
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.346104
Minimum36.180727
Maximum36.508146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T07:11:29.693012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.180727
5-th percentile36.226104
Q136.308793
median36.351376
Q336.389122
95-th percentile36.463454
Maximum36.508146
Range0.32741874
Interquartile range (IQR)0.080328342

Descriptive statistics

Standard deviation0.070305617
Coefficient of variation (CV)0.0019343371
Kurtosis-0.22671688
Mean36.346104
Median Absolute Deviation (MAD)0.038623725
Skewness-0.12990168
Sum11848.83
Variance0.0049428798
MonotonicityNot monotonic
2024-01-10T07:11:30.044939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.26813783 3
 
0.9%
36.35221306 2
 
0.6%
36.2829642 2
 
0.6%
36.37823399 2
 
0.6%
36.23293923 1
 
0.3%
36.32418781 1
 
0.3%
36.33986814 1
 
0.3%
36.34386422 1
 
0.3%
36.34383099 1
 
0.3%
36.34142602 1
 
0.3%
Other values (311) 311
95.4%
ValueCountFrequency (%)
36.18072683 1
0.3%
36.18303614 1
0.3%
36.18735434 1
0.3%
36.19351297 1
0.3%
36.19681317 1
0.3%
36.1970666 1
0.3%
36.19984111 1
0.3%
36.20096047 1
0.3%
36.21012414 1
0.3%
36.21057805 1
0.3%
ValueCountFrequency (%)
36.50814557 1
0.3%
36.50619491 1
0.3%
36.50490074 1
0.3%
36.50441137 1
0.3%
36.49386196 1
0.3%
36.49232381 1
0.3%
36.48710567 1
0.3%
36.48676167 1
0.3%
36.48414636 1
0.3%
36.48326591 1
0.3%

경도
Real number (ℝ)

Distinct321
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.58967
Minimum126.08064
Maximum126.71203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T07:11:30.191632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.08064
5-th percentile126.49424
Q1126.56123
median126.59796
Q3126.62424
95-th percentile126.67583
Maximum126.71203
Range0.631397
Interquartile range (IQR)0.0630147

Descriptive statistics

Standard deviation0.071699392
Coefficient of variation (CV)0.00056639212
Kurtosis10.587689
Mean126.58967
Median Absolute Deviation (MAD)0.0299996
Skewness-2.2883091
Sum41268.233
Variance0.0051408029
MonotonicityNot monotonic
2024-01-10T07:11:30.297201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6904278 3
 
0.9%
126.5896661 2
 
0.6%
126.6208648 2
 
0.6%
126.5361811 2
 
0.6%
126.605514 1
 
0.3%
126.6167211 1
 
0.3%
126.6192059 1
 
0.3%
126.6025443 1
 
0.3%
126.5975709 1
 
0.3%
126.6179982 1
 
0.3%
Other values (311) 311
95.4%
ValueCountFrequency (%)
126.0806352 1
0.3%
126.2626895 1
0.3%
126.266426 1
0.3%
126.3364536 1
0.3%
126.3544443 1
0.3%
126.3584788 1
0.3%
126.3599052 1
0.3%
126.367644 1
0.3%
126.3940448 1
0.3%
126.4070353 1
0.3%
ValueCountFrequency (%)
126.7120322 1
 
0.3%
126.7107045 1
 
0.3%
126.7026373 1
 
0.3%
126.7023147 1
 
0.3%
126.69583 1
 
0.3%
126.6936977 1
 
0.3%
126.6904278 3
0.9%
126.6894176 1
 
0.3%
126.6862705 1
 
0.3%
126.6850628 1
 
0.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2022-08-13
326 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-13
2nd row2022-08-13
3rd row2022-08-13
4th row2022-08-13
5th row2022-08-13

Common Values

ValueCountFrequency (%)
2022-08-13 326
100.0%

Length

2024-01-10T07:11:30.398079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:11:30.469822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-13 326
100.0%

Interactions

2024-01-10T07:11:26.897186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:26.421337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:26.651911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:26.968187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:26.488220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:26.744660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:27.037815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:26.559962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:26.827051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:11:30.513804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교별위도경도
연번1.0000.7180.8420.598
종교별0.7181.0000.0000.201
위도0.8420.0001.0000.398
경도0.5980.2010.3981.000
2024-01-10T07:11:30.586157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도종교별
연번1.000-0.1800.4010.448
위도-0.1801.000-0.1810.000
경도0.401-0.1811.0000.068
종교별0.4480.0000.0681.000

Missing values

2024-01-10T07:11:27.131338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:11:27.231139image/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.
2024-01-10T07:11:27.304282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시군종교별시설명도로명 주소지번주소위도경도데이터기준일
01보령시기독교웅천제일교회충청남도 보령시 웅천읍 방축길 108충청남도 보령시 웅천읍 대창리 445-236.232939126.6055142022-08-13
12보령시기독교무창포침례교회충청남도 보령시 웅천읍 간드리3길 37충청남도 보령시 웅천읍 관당리 393-336.245162126.5417282022-08-13
23보령시기독교무창포교회충청남도 보령시 웅천읍 열린바다로 267충청남도 보령시 웅천읍 관당리 779-336.246478126.5392762022-08-13
34보령시기독교소황교회충청남도 보령시 웅천읍 죽청로 240충청남도 보령시 웅천읍 황교리 608-1336.226491126.5481542022-08-13
45보령시기독교열린교회충청남도 보령시 웅천읍 구장터 3길 4충청남도 보령시 웅천읍 대천리 151-136.240924126.5914982022-08-13
56보령시기독교구령교회충청남도 보령시 웅천읍 장마4길 16충청남도 보령시 웅천읍 구룡리 산72-736.226275126.5684972022-08-13
67보령시기독교웅천소망교회충청남도 보령시 웅천읍 한내1길 51충청남도 보령시 웅천읍 대창리 466-436.234684126.6032122022-08-13
78보령시기독교웅천중앙교회충청남도 보령시 웅천읍 장터8길 44충청남도 보령시 웅천읍 대창리 705-136.235493126.6001572022-08-13
89보령시기독교축복교회충청남도 보령시 웅천읍 가라티1길 14-10충청남도 보령시 웅천읍 노천리 217-436.226988126.5852852022-08-13
910보령시기독교독산교회충청남도 보령시 웅천읍 홀뫼1길 19-19충청남도 보령시 웅천읍 독산리 359-2236.226162126.5380362022-08-13
연번시군종교별시설명도로명 주소지번주소위도경도데이터기준일
316317보령시기도원보령능력기도원충청남도 보령시 성주면 지게골길 162충청남도 보령시 성주면 개화리 4536.321027126.6620132022-08-13
317318보령시기도원개화산기도원<NA>충청남도 보령시 성주면 개화리 2236.320214126.6671852022-08-13
318319보령시기도원갈릴리기도원충청남도 보령시 대천항1길 107충청남도 보령시 신흑동 946-3436.324899126.5037952022-08-13
319320보령시수양관무창포수양관충청남도 보령시 웅천읍 산업단지길 93충청남도 보령시 웅천읍 두룡리 72336.250203126.5745162022-08-13
320321보령시수양관물댄동산 성결교회 수양관충청남도 보령시 웅천읍 수안2길 39-15충청남도 보령시 웅천읍 수부리 44836.260369126.6170852022-08-13
321322보령시수양관분당소망교회 보령수도원충청남도 보령시 오천면 오천중앙로 137충청남도 보령시 오천면 교성리 339-1236.420927126.5535012022-08-13
322323보령시수양관백송수양관충청남도 보령시 남포면 봉덕삼현길 191충청남도 보령시 남포면 제석리 10-536.318966126.5859852022-08-13
323324보령시수양관대천성주산수양관충청남도 보령시 성주면 지게골길 101-153충청남도 보령시 성주면 개화리 산 4-536.324726126.6574112022-08-13
324325보령시수양관보령수양관충청남도 보령시 성주면 만수로 755-98충청남도 보령시 성주면 개화리 639-2036.29504126.6363012022-08-13
325326보령시이슬람이슬람센터충청남도 보령시 상설시장길 29, 3층충청남도 보령시 대천동 197-1036.350489126.5956832022-08-13