Overview

Dataset statistics

Number of variables10
Number of observations387
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory83.3 B

Variable types

Numeric3
Categorical3
Text3
DateTime1

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
연번 is highly overall correlated with 읍면동High correlation
위도 is highly overall correlated with 읍면동High correlation
경도 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
구분 is highly imbalanced (62.3%)Imbalance
도로명 주소 has 4 (1.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:11:20.510132
Analysis finished2024-01-09 22:11:21.833263
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct387
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194
Minimum1
Maximum387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T07:11:21.892317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.3
Q197.5
median194
Q3290.5
95-th percentile367.7
Maximum387
Range386
Interquartile range (IQR)193

Descriptive statistics

Standard deviation111.86152
Coefficient of variation (CV)0.57660578
Kurtosis-1.2
Mean194
Median Absolute Deviation (MAD)97
Skewness0
Sum75078
Variance12513
MonotonicityStrictly increasing
2024-01-10T07:11:22.006590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
244 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
Other values (377) 377
97.4%
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 (%)
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
보령시
387 

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 387
100.0%

Length

2024-01-10T07:11:22.110029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:11:22.182321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 387
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
대천3동
42 
청라면
41 
웅천읍
33 
남포면
33 
대천1동
31 
Other values (12)
207 

Length

Max length4
Median length3
Mean length3.3385013
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대천3동 42
10.9%
청라면 41
10.6%
웅천읍 33
 
8.5%
남포면 33
 
8.5%
대천1동 31
 
8.0%
주교면 30
 
7.8%
대천5동 24
 
6.2%
오천면 23
 
5.9%
미산면 20
 
5.2%
대천2동 18
 
4.7%
Other values (7) 92
23.8%

Length

2024-01-10T07:11:22.476878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대천3동 42
10.9%
청라면 41
10.6%
웅천읍 33
 
8.5%
남포면 33
 
8.5%
대천1동 31
 
8.0%
주교면 30
 
7.8%
대천5동 24
 
6.2%
오천면 23
 
5.9%
미산면 20
 
5.2%
대천2동 18
 
4.7%
Other values (7) 92
23.8%

구분
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
기독교
281 
불교
77 
기도원
 
11
천주교
 
7
수양관
 
6
Other values (5)
 
5

Length

Max length3
Median length3
Mean length2.8010336
Min length2

Unique

Unique5 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 281
72.6%
불교 77
 
19.9%
기도원 11
 
2.8%
천주교 7
 
1.8%
수양관 6
 
1.6%
통일교 1
 
0.3%
이슬람 1
 
0.3%
신천지 1
 
0.3%
증산도 1
 
0.3%
일관도 1
 
0.3%

Length

2024-01-10T07:11:22.566174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:11:22.658829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 281
72.6%
불교 77
 
19.9%
기도원 11
 
2.8%
천주교 7
 
1.8%
수양관 6
 
1.6%
통일교 1
 
0.3%
이슬람 1
 
0.3%
신천지 1
 
0.3%
증산도 1
 
0.3%
일관도 1
 
0.3%

시설명
Text

Distinct368
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T07:11:22.876788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length5.4056848
Min length3

Characters and Unicode

Total characters2092
Distinct characters238
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)91.5%

Sample

1st row무창포침례교회
2nd row무창포교회
3rd row소황교회
4th row구령교회
5th row독산교회
ValueCountFrequency (%)
관음사 4
 
1.0%
벧엘교회 3
 
0.8%
소망교회 3
 
0.8%
벧엘기도원 3
 
0.8%
참사랑교회 2
 
0.5%
초대교회 2
 
0.5%
청룡사 2
 
0.5%
대승사 2
 
0.5%
대성교회 2
 
0.5%
축복교회 2
 
0.5%
Other values (365) 369
93.7%
2024-01-10T07:11:23.211255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 310
 
14.8%
회 292
 
14.0%
사 66
 
3.2%
천 66
 
3.2%
대 66
 
3.2%
성 40
 
1.9%
보 33
 
1.6%
도 32
 
1.5%
주 28
 
1.3%
령 28
 
1.3%
Other values (228) 1131
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2047
97.8%
Close Punctuation 19
 
0.9%
Open Punctuation 19
 
0.9%
Space Separator 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 310
 
15.1%
회 292
 
14.3%
사 66
 
3.2%
천 66
 
3.2%
대 66
 
3.2%
성 40
 
2.0%
보 33
 
1.6%
도 32
 
1.6%
주 28
 
1.4%
령 28
 
1.4%
Other values (225) 1086
53.1%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2047
97.8%
Common 45
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 310
 
15.1%
회 292
 
14.3%
사 66
 
3.2%
천 66
 
3.2%
대 66
 
3.2%
성 40
 
2.0%
보 33
 
1.6%
도 32
 
1.6%
주 28
 
1.4%
령 28
 
1.4%
Other values (225) 1086
53.1%
Common
ValueCountFrequency (%)
) 19
42.2%
( 19
42.2%
7
 
15.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2047
97.8%
ASCII 45
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 310
 
15.1%
회 292
 
14.3%
사 66
 
3.2%
천 66
 
3.2%
대 66
 
3.2%
성 40
 
2.0%
보 33
 
1.6%
도 32
 
1.6%
주 28
 
1.4%
령 28
 
1.4%
Other values (225) 1086
53.1%
ASCII
ValueCountFrequency (%)
) 19
42.2%
( 19
42.2%
7
 
15.6%

도로명 주소
Text

MISSING 

Distinct373
Distinct (%)97.4%
Missing4
Missing (%)1.0%
Memory size3.2 KiB
2024-01-10T07:11:23.479601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.932115
Min length14

Characters and Unicode

Total characters7634
Distinct characters230
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique364 ?
Unique (%)95.0%

Sample

1st row충청남도 보령시 웅천읍 간드리3길 37
2nd row충청남도 보령시 웅천읍 열린바다로 267
3rd row충청남도 보령시 웅천읍 죽청로 240
4th row충청남도 보령시 웅천읍 장마4길 16
5th row충청남도 보령시 웅천읍 홀뫼1길 19-19
ValueCountFrequency (%)
충청남도 383
21.4%
보령시 383
21.4%
청라면 38
 
2.1%
웅천읍 33
 
1.8%
남포면 32
 
1.8%
오천면 31
 
1.7%
주교면 30
 
1.7%
미산면 20
 
1.1%
천북면 17
 
1.0%
청소면 16
 
0.9%
Other values (543) 803
45.0%
2024-01-10T07:11:23.850942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1403
18.4%
청 453
 
5.9%
남 430
 
5.6%
도 406
 
5.3%
보 395
 
5.2%
령 394
 
5.2%
시 393
 
5.1%
충 387
 
5.1%
길 284
 
3.7%
1 276
 
3.6%
Other values (220) 2813
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4847
63.5%
Space Separator 1403
 
18.4%
Decimal Number 1246
 
16.3%
Dash Punctuation 137
 
1.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 453
 
9.3%
남 430
 
8.9%
도 406
 
8.4%
보 395
 
8.1%
령 394
 
8.1%
시 393
 
8.1%
충 387
 
8.0%
길 284
 
5.9%
면 218
 
4.5%
천 108
 
2.2%
Other values (207) 1379
28.5%
Decimal Number
ValueCountFrequency (%)
1 276
22.2%
2 170
13.6%
3 149
12.0%
4 120
9.6%
7 98
 
7.9%
8 92
 
7.4%
5 91
 
7.3%
0 88
 
7.1%
6 87
 
7.0%
9 75
 
6.0%
Space Separator
ValueCountFrequency (%)
1403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4847
63.5%
Common 2787
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 453
 
9.3%
남 430
 
8.9%
도 406
 
8.4%
보 395
 
8.1%
령 394
 
8.1%
시 393
 
8.1%
충 387
 
8.0%
길 284
 
5.9%
면 218
 
4.5%
천 108
 
2.2%
Other values (207) 1379
28.5%
Common
ValueCountFrequency (%)
1403
50.3%
1 276
 
9.9%
2 170
 
6.1%
3 149
 
5.3%
- 137
 
4.9%
4 120
 
4.3%
7 98
 
3.5%
8 92
 
3.3%
5 91
 
3.3%
0 88
 
3.2%
Other values (3) 163
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4847
63.5%
ASCII 2787
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1403
50.3%
1 276
 
9.9%
2 170
 
6.1%
3 149
 
5.3%
- 137
 
4.9%
4 120
 
4.3%
7 98
 
3.5%
8 92
 
3.3%
5 91
 
3.3%
0 88
 
3.2%
Other values (3) 163
 
5.8%
Hangul
ValueCountFrequency (%)
청 453
 
9.3%
남 430
 
8.9%
도 406
 
8.4%
보 395
 
8.1%
령 394
 
8.1%
시 393
 
8.1%
충 387
 
8.0%
길 284
 
5.9%
면 218
 
4.5%
천 108
 
2.2%
Other values (207) 1379
28.5%

지번주소
Text

Distinct377
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T07:11:24.031599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length20.563307
Min length15

Characters and Unicode

Total characters7958
Distinct characters116
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)95.1%

Sample

1st row충청남도 보령시 웅천읍 관당리 393-3
2nd row충청남도 보령시 웅천읍 관당리 779-3
3rd row충청남도 보령시 웅천읍 황교리 산 144-3
4th row충청남도 보령시 웅천읍 구룡리 산 72-7
5th row충청남도 보령시 웅천읍 독산리 359-22
ValueCountFrequency (%)
충청남도 387
20.9%
보령시 387
20.9%
산 41
 
2.2%
청라면 41
 
2.2%
대천동 38
 
2.1%
동대동 37
 
2.0%
남포면 33
 
1.8%
웅천읍 33
 
1.8%
오천면 31
 
1.7%
주교면 30
 
1.6%
Other values (475) 790
42.7%
2024-01-10T07:11:24.326533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1461
18.4%
청 446
 
5.6%
남 425
 
5.3%
도 410
 
5.2%
보 393
 
4.9%
시 393
 
4.9%
령 389
 
4.9%
충 387
 
4.9%
- 300
 
3.8%
리 256
 
3.2%
Other values (106) 3098
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4707
59.1%
Decimal Number 1489
 
18.7%
Space Separator 1461
 
18.4%
Dash Punctuation 300
 
3.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 446
 
9.5%
남 425
 
9.0%
도 410
 
8.7%
보 393
 
8.3%
시 393
 
8.3%
령 389
 
8.3%
충 387
 
8.2%
리 256
 
5.4%
면 223
 
4.7%
동 182
 
3.9%
Other values (93) 1203
25.6%
Decimal Number
ValueCountFrequency (%)
1 253
17.0%
2 206
13.8%
5 164
11.0%
3 157
10.5%
4 150
10.1%
7 147
9.9%
6 125
8.4%
9 109
7.3%
8 92
 
6.2%
0 86
 
5.8%
Space Separator
ValueCountFrequency (%)
1461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 300
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4707
59.1%
Common 3251
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 446
 
9.5%
남 425
 
9.0%
도 410
 
8.7%
보 393
 
8.3%
시 393
 
8.3%
령 389
 
8.3%
충 387
 
8.2%
리 256
 
5.4%
면 223
 
4.7%
동 182
 
3.9%
Other values (93) 1203
25.6%
Common
ValueCountFrequency (%)
1461
44.9%
- 300
 
9.2%
1 253
 
7.8%
2 206
 
6.3%
5 164
 
5.0%
3 157
 
4.8%
4 150
 
4.6%
7 147
 
4.5%
6 125
 
3.8%
9 109
 
3.4%
Other values (3) 179
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4707
59.1%
ASCII 3251
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1461
44.9%
- 300
 
9.2%
1 253
 
7.8%
2 206
 
6.3%
5 164
 
5.0%
3 157
 
4.8%
4 150
 
4.6%
7 147
 
4.5%
6 125
 
3.8%
9 109
 
3.4%
Other values (3) 179
 
5.5%
Hangul
ValueCountFrequency (%)
청 446
 
9.5%
남 425
 
9.0%
도 410
 
8.7%
보 393
 
8.3%
시 393
 
8.3%
령 389
 
8.3%
충 387
 
8.2%
리 256
 
5.4%
면 223
 
4.7%
동 182
 
3.9%
Other values (93) 1203
25.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct376
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.346189
Minimum36.180727
Maximum36.508146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T07:11:24.438400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.180727
5-th percentile36.22634
Q136.312939
median36.350753
Q336.383245
95-th percentile36.457885
Maximum36.508146
Range0.32741874
Interquartile range (IQR)0.070305955

Descriptive statistics

Standard deviation0.067129082
Coefficient of variation (CV)0.0018469359
Kurtosis-0.0083436462
Mean36.346189
Median Absolute Deviation (MAD)0.036275981
Skewness-0.15260045
Sum14065.975
Variance0.0045063136
MonotonicityNot monotonic
2024-01-10T07:11:24.549249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.2681378293 3
 
0.8%
36.3782339897 3
 
0.8%
36.3483832931 2
 
0.5%
36.4204846262 2
 
0.5%
36.4384263589 2
 
0.5%
36.391851044 2
 
0.5%
36.3522130607 2
 
0.5%
36.3499895726 2
 
0.5%
36.3527908058 2
 
0.5%
36.3436195674 1
 
0.3%
Other values (366) 366
94.6%
ValueCountFrequency (%)
36.1807268268 1
0.3%
36.183036141 1
0.3%
36.1873543428 1
0.3%
36.1935129719 1
0.3%
36.19650949 1
0.3%
36.196813172 1
0.3%
36.1970666027 1
0.3%
36.1998411059 1
0.3%
36.2009604709 1
0.3%
36.2101241389 1
0.3%
ValueCountFrequency (%)
36.5081455711 1
0.3%
36.5061949063 1
0.3%
36.5049007433 1
0.3%
36.5044113651 1
0.3%
36.4938619572 1
0.3%
36.4923238081 1
0.3%
36.4871056671 1
0.3%
36.4867616692 1
0.3%
36.484146357 1
0.3%
36.4832659108 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct376
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59075
Minimum126.08064
Maximum126.71203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T07:11:24.661678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.08064
5-th percentile126.49449
Q1126.56436
median126.59896
Q3126.6243
95-th percentile126.67535
Maximum126.71203
Range0.63139702
Interquartile range (IQR)0.059943523

Descriptive statistics

Standard deviation0.069359527
Coefficient of variation (CV)0.00054790359
Kurtosis10.708069
Mean126.59075
Median Absolute Deviation (MAD)0.028292231
Skewness-2.3037798
Sum48990.621
Variance0.004810744
MonotonicityNot monotonic
2024-01-10T07:11:24.767700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6904277741 3
 
0.8%
126.5361811136 3
 
0.8%
126.6578902657 2
 
0.5%
126.6718232285 2
 
0.5%
126.6245456866 2
 
0.5%
126.5685890707 2
 
0.5%
126.5896660875 2
 
0.5%
126.6098660786 2
 
0.5%
126.5975365133 2
 
0.5%
126.6049138708 1
 
0.3%
Other values (366) 366
94.6%
ValueCountFrequency (%)
126.0806351705 1
0.3%
126.2626895113 1
0.3%
126.2664260115 1
0.3%
126.3364536134 1
0.3%
126.3544443399 1
0.3%
126.3563150095 1
0.3%
126.3584788486 1
0.3%
126.3599052359 1
0.3%
126.3676440233 1
0.3%
126.3940448053 1
0.3%
ValueCountFrequency (%)
126.7120321882 1
 
0.3%
126.7107044784 1
 
0.3%
126.7026373353 1
 
0.3%
126.7023147452 1
 
0.3%
126.6964735174 1
 
0.3%
126.6957184738 1
 
0.3%
126.6936976986 1
 
0.3%
126.6904277741 3
0.8%
126.6894175972 1
 
0.3%
126.6862705345 1
 
0.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2023-08-14 00:00:00
Maximum2023-08-14 00:00:00
2024-01-10T07:11:24.858864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:24.929026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T07:11:21.421158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:20.978861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:21.201059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:21.496148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:21.054458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:21.276390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:21.577575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:21.129489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:11:21.345692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:11:24.983896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동구분위도경도
연번1.0000.9000.8130.8280.597
읍면동0.9001.0000.0000.9230.860
구분0.8130.0001.0000.0000.137
위도0.8280.9230.0001.0000.408
경도0.5970.8600.1370.4081.000
2024-01-10T07:11:25.055268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동구분
읍면동1.0000.000
구분0.0001.000
2024-01-10T07:11:25.121829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도읍면동구분
연번1.000-0.1660.3810.6370.378
위도-0.1661.000-0.1680.6950.000
경도0.381-0.1681.0000.5820.065
읍면동0.6370.6950.5821.0000.000
구분0.3780.0000.0650.0001.000

Missing values

2024-01-10T07:11:21.677897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:11:21.790685image/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

연번시군읍면동구분시설명도로명 주소지번주소위도경도데이터기준일
01보령시웅천읍기독교무창포침례교회충청남도 보령시 웅천읍 간드리3길 37충청남도 보령시 웅천읍 관당리 393-336.245162126.5417282023-08-14
12보령시웅천읍기독교무창포교회충청남도 보령시 웅천읍 열린바다로 267충청남도 보령시 웅천읍 관당리 779-336.246478126.5392752023-08-14
23보령시웅천읍기독교소황교회충청남도 보령시 웅천읍 죽청로 240충청남도 보령시 웅천읍 황교리 산 144-336.226491126.5481542023-08-14
34보령시웅천읍기독교구령교회충청남도 보령시 웅천읍 장마4길 16충청남도 보령시 웅천읍 구룡리 산 72-736.226275126.5684972023-08-14
45보령시웅천읍기독교독산교회충청남도 보령시 웅천읍 홀뫼1길 19-19충청남도 보령시 웅천읍 독산리 359-2236.226162126.5380362023-08-14
56보령시웅천읍기독교웅천재림교회충청남도 보령시 웅천읍 장터8길 28-7충청남도 보령시 웅천읍 대창리 499-336.235331126.6008562023-08-14
67보령시웅천읍기독교기쁜소식무창포교회충청남도 보령시 웅천읍 무창포로 455-8충청남도 보령시 웅천읍 관당리 734-536.246964126.5413482023-08-14
78보령시웅천읍기독교웅천한빛교회충청남도 보령시 웅천읍 한내1길 270충청남도 보령시 웅천읍 대창리 7-336.236677126.6131042023-08-14
89보령시웅천읍기독교웅천중앙교회충청남도 보령시 웅천읍 장터8길 44충청남도 보령시 웅천읍 대창리 705-136.235493126.6001572023-08-14
910보령시웅천읍기독교축복교회충청남도 보령시 웅천읍 가라티1길 14-10충청남도 보령시 웅천읍 노천리 217-436.226988126.5852852023-08-14
연번시군읍면동구분시설명도로명 주소지번주소위도경도데이터기준일
377378보령시남포면수양관백송수양관충청남도 보령시 남포면 봉덕삼현길 191충청남도 보령시 남포면 제석리 10-536.318966126.5859852023-08-14
378379보령시미산면기도원베데스다기도원충청남도 보령시 미산면 자라실길 53충청남도 보령시 미산면 평라리 3-136.247495126.6818892023-08-14
379380보령시성주면기도원보령능력기도원충청남도 보령시 성주면 지게골길 162충청남도 보령시 성주면 개화리 4536.321027126.6620132023-08-14
380381보령시성주면기도원원천교회(개화산기도원)<NA>충청남도 보령시 성주면 개화리 2236.320214126.6671852023-08-14
381382보령시성주면수양관대천성주산수양관충청남도 보령시 성주면 지게골길 101-153충청남도 보령시 성주면 개화리 산 4-536.324726126.6574112023-08-14
382383보령시성주면수양관보령수양관충청남도 보령시 성주면 만수로 755-98충청남도 보령시 성주면 개화리 639-2036.29504126.6363012023-08-14
383384보령시대천1동이슬람보령이슬라믹센터충청남도 보령시 상설시장길 29충청남도 보령시 대천동 197-1036.350489126.5956832023-08-14
384385보령시대천3동신천지보령신천지충청남도 보령시 동현로 13, 3층충청남도 보령시 동대동 135436.351604126.6088542023-08-14
385386보령시대천3동증산도증산도보령도장충청남도 보령시 큰오랏1길 80충청남도 보령시 동대동 139036.351043126.6075432023-08-14
386387보령시대천3동일관도재단법인 국제도덕협회(일관도)충청남도 보령시 큰오랏7길 31-10충청남도 보령시 동대동 155536.34999126.6098662023-08-14