Overview

Dataset statistics

Number of variables11
Number of observations337
Missing cells9
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.1 KiB
Average record size in memory91.4 B

Variable types

Text3
Categorical3
Numeric3
DateTime2

Dataset

Description홍성군내 마을회관 현황으로 시설명, 시설유형, 주소, 위도, 경도, 영업상태명, 건립일자, 건물면적, 데이터기준일 등을 제공합니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=443&beforeMenuCd=DOM_000000201001001000&publicdatapk=3073649

Alerts

시설유형 has constant value ""Constant
영업상태명 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지지번주소 has 9 (2.7%) missing valuesMissing
시설명 has unique valuesUnique
건물면적 has 6 (1.8%) zerosZeros

Reproduction

Analysis started2024-01-09 21:11:01.038785
Analysis finished2024-01-09 21:11:02.406761
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct337
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-01-10T06:11:02.555339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.548961
Min length9

Characters and Unicode

Total characters3555
Distinct characters172
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)100.0%

Sample

1st row홍성읍 오관1리마을회관
2nd row홍성읍 오관2리마을회관
3rd row홍성읍 오관3리마을회관
4th row홍성읍 오관4리마을회관
5th row홍성읍 오관5리마을회관
ValueCountFrequency (%)
홍성읍 47
 
7.0%
광천읍 41
 
6.1%
홍동면 33
 
4.9%
장곡면 32
 
4.8%
서부면 29
 
4.3%
갈산면 29
 
4.3%
홍북읍 27
 
4.0%
은하면 25
 
3.7%
금마면 25
 
3.7%
결성면 25
 
3.7%
Other values (314) 360
53.5%
2024-01-10T06:11:03.148326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 365
 
10.3%
관 350
 
9.8%
회 337
 
9.5%
을 337
 
9.5%
336
 
9.5%
면 222
 
6.2%
읍 115
 
3.2%
홍 108
 
3.0%
리 94
 
2.6%
성 84
 
2.4%
Other values (162) 1207
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3141
88.4%
Space Separator 336
 
9.5%
Decimal Number 78
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 365
 
11.6%
관 350
 
11.1%
회 337
 
10.7%
을 337
 
10.7%
면 222
 
7.1%
읍 115
 
3.7%
홍 108
 
3.4%
리 94
 
3.0%
성 84
 
2.7%
동 77
 
2.5%
Other values (151) 1052
33.5%
Decimal Number
ValueCountFrequency (%)
1 28
35.9%
2 24
30.8%
3 10
 
12.8%
4 6
 
7.7%
5 3
 
3.8%
6 3
 
3.8%
8 1
 
1.3%
9 1
 
1.3%
0 1
 
1.3%
7 1
 
1.3%
Space Separator
ValueCountFrequency (%)
336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3141
88.4%
Common 414
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 365
 
11.6%
관 350
 
11.1%
회 337
 
10.7%
을 337
 
10.7%
면 222
 
7.1%
읍 115
 
3.7%
홍 108
 
3.4%
리 94
 
3.0%
성 84
 
2.7%
동 77
 
2.5%
Other values (151) 1052
33.5%
Common
ValueCountFrequency (%)
336
81.2%
1 28
 
6.8%
2 24
 
5.8%
3 10
 
2.4%
4 6
 
1.4%
5 3
 
0.7%
6 3
 
0.7%
8 1
 
0.2%
9 1
 
0.2%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3141
88.4%
ASCII 414
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 365
 
11.6%
관 350
 
11.1%
회 337
 
10.7%
을 337
 
10.7%
면 222
 
7.1%
읍 115
 
3.7%
홍 108
 
3.4%
리 94
 
3.0%
성 84
 
2.7%
동 77
 
2.5%
Other values (151) 1052
33.5%
ASCII
ValueCountFrequency (%)
336
81.2%
1 28
 
6.8%
2 24
 
5.8%
3 10
 
2.4%
4 6
 
1.4%
5 3
 
0.7%
6 3
 
0.7%
8 1
 
0.2%
9 1
 
0.2%
0 1
 
0.2%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
마을회관
337 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마을회관 337
100.0%

Length

2024-01-10T06:11:03.264982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:11:03.358027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마을회관 337
100.0%

소재지도로명주소
Text

Distinct336
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-01-10T06:11:03.588988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length23.652819
Min length19

Characters and Unicode

Total characters7971
Distinct characters108
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

Unique335 ?
Unique (%)99.4%

Sample

1st row충청남도 홍성군 홍성읍 조양로103번길 27-6
2nd row충청남도 홍성군 홍성읍 조양로143번길 35-12
3rd row충청남도 홍성군 홍성읍 아문길 60
4th row충청남도 홍성군 홍성읍 조양로10번길 76
5th row충청남도 홍성군 홍성읍 조양로33번길 20-18
ValueCountFrequency (%)
충청남도 337
20.0%
홍성군 337
20.0%
홍성읍 47
 
2.8%
광천읍 41
 
2.4%
홍동면 33
 
2.0%
장곡면 32
 
1.9%
갈산면 29
 
1.7%
서부면 29
 
1.7%
홍북읍 27
 
1.6%
금마면 26
 
1.5%
Other values (523) 748
44.4%
2024-01-10T06:11:03.985071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1349
16.9%
홍 510
 
6.4%
성 423
 
5.3%
남 414
 
5.2%
충 375
 
4.7%
도 339
 
4.3%
청 339
 
4.3%
군 337
 
4.2%
1 334
 
4.2%
길 319
 
4.0%
Other values (98) 3232
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4935
61.9%
Decimal Number 1590
 
19.9%
Space Separator 1349
 
16.9%
Dash Punctuation 97
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 510
 
10.3%
성 423
 
8.6%
남 414
 
8.4%
충 375
 
7.6%
도 339
 
6.9%
청 339
 
6.9%
군 337
 
6.8%
길 319
 
6.5%
로 237
 
4.8%
면 222
 
4.5%
Other values (86) 1420
28.8%
Decimal Number
ValueCountFrequency (%)
1 334
21.0%
2 187
11.8%
3 178
11.2%
4 154
9.7%
5 153
9.6%
7 142
8.9%
6 134
8.4%
9 106
 
6.7%
0 103
 
6.5%
8 99
 
6.2%
Space Separator
ValueCountFrequency (%)
1349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4935
61.9%
Common 3036
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 510
 
10.3%
성 423
 
8.6%
남 414
 
8.4%
충 375
 
7.6%
도 339
 
6.9%
청 339
 
6.9%
군 337
 
6.8%
길 319
 
6.5%
로 237
 
4.8%
면 222
 
4.5%
Other values (86) 1420
28.8%
Common
ValueCountFrequency (%)
1349
44.4%
1 334
 
11.0%
2 187
 
6.2%
3 178
 
5.9%
4 154
 
5.1%
5 153
 
5.0%
7 142
 
4.7%
6 134
 
4.4%
9 106
 
3.5%
0 103
 
3.4%
Other values (2) 196
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4935
61.9%
ASCII 3036
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1349
44.4%
1 334
 
11.0%
2 187
 
6.2%
3 178
 
5.9%
4 154
 
5.1%
5 153
 
5.0%
7 142
 
4.7%
6 134
 
4.4%
9 106
 
3.5%
0 103
 
3.4%
Other values (2) 196
 
6.5%
Hangul
ValueCountFrequency (%)
홍 510
 
10.3%
성 423
 
8.6%
남 414
 
8.4%
충 375
 
7.6%
도 339
 
6.9%
청 339
 
6.9%
군 337
 
6.8%
길 319
 
6.5%
로 237
 
4.8%
면 222
 
4.5%
Other values (86) 1420
28.8%

소재지지번주소
Text

MISSING 

Distinct327
Distinct (%)99.7%
Missing9
Missing (%)2.7%
Memory size2.8 KiB
2024-01-10T06:11:04.334973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.448171
Min length18

Characters and Unicode

Total characters7035
Distinct characters123
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

Unique326 ?
Unique (%)99.4%

Sample

1st row충청남도 홍성군 홍성읍 오관리 20
2nd row충청남도 홍성군 홍성읍 오관리 277-24
3rd row충청남도 홍성군 홍성읍 오관리 875-4
4th row충청남도 홍성군 홍성읍 오관리 443-11
5th row충청남도 홍성군 홍성읍 오관리 654-1
ValueCountFrequency (%)
충청남도 328
20.0%
홍성군 328
20.0%
홍성읍 47
 
2.9%
광천읍 40
 
2.4%
홍동면 32
 
2.0%
장곡면 31
 
1.9%
서부면 28
 
1.7%
홍북읍 27
 
1.6%
갈산면 27
 
1.6%
은하면 25
 
1.5%
Other values (466) 728
44.4%
2024-01-10T06:11:04.810348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1313
18.7%
홍 437
 
6.2%
성 417
 
5.9%
남 341
 
4.8%
도 331
 
4.7%
청 330
 
4.7%
충 328
 
4.7%
군 328
 
4.7%
리 328
 
4.7%
- 245
 
3.5%
Other values (113) 2637
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4249
60.4%
Space Separator 1313
 
18.7%
Decimal Number 1228
 
17.5%
Dash Punctuation 245
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 437
10.3%
성 417
 
9.8%
남 341
 
8.0%
도 331
 
7.8%
청 330
 
7.8%
충 328
 
7.7%
군 328
 
7.7%
리 328
 
7.7%
면 214
 
5.0%
읍 116
 
2.7%
Other values (101) 1079
25.4%
Decimal Number
ValueCountFrequency (%)
1 212
17.3%
3 172
14.0%
2 168
13.7%
5 128
10.4%
4 125
10.2%
6 105
8.6%
7 88
7.2%
8 87
7.1%
9 73
 
5.9%
0 70
 
5.7%
Space Separator
ValueCountFrequency (%)
1313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4249
60.4%
Common 2786
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 437
10.3%
성 417
 
9.8%
남 341
 
8.0%
도 331
 
7.8%
청 330
 
7.8%
충 328
 
7.7%
군 328
 
7.7%
리 328
 
7.7%
면 214
 
5.0%
읍 116
 
2.7%
Other values (101) 1079
25.4%
Common
ValueCountFrequency (%)
1313
47.1%
- 245
 
8.8%
1 212
 
7.6%
3 172
 
6.2%
2 168
 
6.0%
5 128
 
4.6%
4 125
 
4.5%
6 105
 
3.8%
7 88
 
3.2%
8 87
 
3.1%
Other values (2) 143
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4249
60.4%
ASCII 2786
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1313
47.1%
- 245
 
8.8%
1 212
 
7.6%
3 172
 
6.2%
2 168
 
6.0%
5 128
 
4.6%
4 125
 
4.5%
6 105
 
3.8%
7 88
 
3.2%
8 87
 
3.1%
Other values (2) 143
 
5.1%
Hangul
ValueCountFrequency (%)
홍 437
10.3%
성 417
 
9.8%
남 341
 
8.0%
도 331
 
7.8%
청 330
 
7.8%
충 328
 
7.7%
군 328
 
7.7%
리 328
 
7.7%
면 214
 
5.0%
읍 116
 
2.7%
Other values (101) 1079
25.4%

위도
Real number (ℝ)

Distinct336
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.56595
Minimum36.478939
Maximum36.669302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-10T06:11:04.939140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.478939
5-th percentile36.493391
Q136.528448
median36.570525
Q336.600457
95-th percentile36.637443
Maximum36.669302
Range0.19036222
Interquartile range (IQR)0.07200906

Descriptive statistics

Standard deviation0.04568987
Coefficient of variation (CV)0.0012495196
Kurtosis-0.95536557
Mean36.56595
Median Absolute Deviation (MAD)0.03452903
Skewness-0.015657294
Sum12322.725
Variance0.0020875642
MonotonicityNot monotonic
2024-01-10T06:11:05.065612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.5980328 2
 
0.6%
36.60396414 1
 
0.3%
36.50831371 1
 
0.3%
36.52691423 1
 
0.3%
36.49055759 1
 
0.3%
36.49248957 1
 
0.3%
36.50088215 1
 
0.3%
36.51055314 1
 
0.3%
36.51522781 1
 
0.3%
36.51882009 1
 
0.3%
Other values (326) 326
96.7%
ValueCountFrequency (%)
36.47893948 1
0.3%
36.48098818 1
0.3%
36.48161574 1
0.3%
36.48174674 1
0.3%
36.48517403 1
0.3%
36.48525286 1
0.3%
36.48549153 1
0.3%
36.48570391 1
0.3%
36.48602104 1
0.3%
36.48684373 1
0.3%
ValueCountFrequency (%)
36.6693017 1
0.3%
36.66799665 1
0.3%
36.6650817 1
0.3%
36.65939886 1
0.3%
36.65891134 1
0.3%
36.6569497 1
0.3%
36.65165786 1
0.3%
36.64962341 1
0.3%
36.64955412 1
0.3%
36.64482036 1
0.3%

경도
Real number (ℝ)

Distinct336
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.63456
Minimum126.44075
Maximum126.76737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-10T06:11:05.190903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.44075
5-th percentile126.50189
Q1126.57786
median126.6487
Q3126.69235
95-th percentile126.73925
Maximum126.76737
Range0.3266238
Interquartile range (IQR)0.1144897

Descriptive statistics

Standard deviation0.074376179
Coefficient of variation (CV)0.00058732922
Kurtosis-0.71081874
Mean126.63456
Median Absolute Deviation (MAD)0.0542015
Skewness-0.41920538
Sum42675.848
Variance0.0055318161
MonotonicityNot monotonic
2024-01-10T06:11:05.316091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6659343 2
 
0.6%
126.6616079 1
 
0.3%
126.5656438 1
 
0.3%
126.5482772 1
 
0.3%
126.6124451 1
 
0.3%
126.6077268 1
 
0.3%
126.5998201 1
 
0.3%
126.5936428 1
 
0.3%
126.5952996 1
 
0.3%
126.6030594 1
 
0.3%
Other values (326) 326
96.7%
ValueCountFrequency (%)
126.4407468 1
0.3%
126.4601162 1
0.3%
126.467645 1
0.3%
126.4686208 1
0.3%
126.4718744 1
0.3%
126.4722379 1
0.3%
126.4727629 1
0.3%
126.4774936 1
0.3%
126.4775067 1
0.3%
126.4799781 1
0.3%
ValueCountFrequency (%)
126.7673706 1
0.3%
126.7616267 1
0.3%
126.7563472 1
0.3%
126.7560473 1
0.3%
126.7541 1
0.3%
126.7524657 1
0.3%
126.7471337 1
0.3%
126.7470979 1
0.3%
126.7462018 1
0.3%
126.74572 1
0.3%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업
337 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 337
100.0%

Length

2024-01-10T06:11:05.440573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:11:05.529661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 337
100.0%

건립일자
Date

Distinct36
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1970-01-01 00:00:00
Maximum2019-01-01 00:00:00
2024-01-10T06:11:05.622898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:05.740581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

건물면적
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.19288
Minimum0
Maximum511
Zeros6
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-10T06:11:05.869970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile79
Q189
median99
Q3133
95-th percentile206.4
Maximum511
Range511
Interquartile range (IQR)44

Descriptive statistics

Standard deviation53.032236
Coefficient of variation (CV)0.45252098
Kurtosis14.705578
Mean117.19288
Median Absolute Deviation (MAD)14
Skewness2.7517482
Sum39494
Variance2812.418
MonotonicityNot monotonic
2024-01-10T06:11:06.025811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 16
 
4.7%
84 14
 
4.2%
96 13
 
3.9%
101 13
 
3.9%
94 13
 
3.9%
98 11
 
3.3%
85 10
 
3.0%
82 9
 
2.7%
83 9
 
2.7%
100 8
 
2.4%
Other values (106) 221
65.6%
ValueCountFrequency (%)
0 6
1.8%
32 1
 
0.3%
59 1
 
0.3%
66 1
 
0.3%
69 1
 
0.3%
72 1
 
0.3%
73 1
 
0.3%
77 1
 
0.3%
78 1
 
0.3%
79 4
1.2%
ValueCountFrequency (%)
511 1
0.3%
460 1
0.3%
326 1
0.3%
303 1
0.3%
294 1
0.3%
276 1
0.3%
268 1
0.3%
247 1
0.3%
229 1
0.3%
222 1
0.3%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
충청남도 홍성군청
337 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 홍성군청
2nd row충청남도 홍성군청
3rd row충청남도 홍성군청
4th row충청남도 홍성군청
5th row충청남도 홍성군청

Common Values

ValueCountFrequency (%)
충청남도 홍성군청 337
100.0%

Length

2024-01-10T06:11:06.164244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:11:06.268456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 337
50.0%
홍성군청 337
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2023-09-12 00:00:00
Maximum2023-09-12 00:00:00
2024-01-10T06:11:06.355163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:06.466106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:11:01.934679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:01.383414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:01.635579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:02.024470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:01.472664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:01.737562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:02.102227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:01.555857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:01.837176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:11:06.538948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도건립일자건물면적
위도1.0000.4320.0000.062
경도0.4321.0000.3460.295
건립일자0.0000.3461.0000.840
건물면적0.0620.2950.8401.000
2024-01-10T06:11:06.625921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도건물면적
위도1.0000.1330.026
경도0.1331.0000.057
건물면적0.0260.0571.000

Missing values

2024-01-10T06:11:02.210636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:11:02.353190image/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

시설명시설유형소재지도로명주소소재지지번주소위도경도영업상태명건립일자건물면적관리기관명데이터기준일자
0홍성읍 오관1리마을회관마을회관충청남도 홍성군 홍성읍 조양로103번길 27-6충청남도 홍성군 홍성읍 오관리 2036.603964126.661608영업2014-01-01169충청남도 홍성군청2023-09-12
1홍성읍 오관2리마을회관마을회관충청남도 홍성군 홍성읍 조양로143번길 35-12충청남도 홍성군 홍성읍 오관리 277-2436.603365126.665761영업2007-01-01128충청남도 홍성군청2023-09-12
2홍성읍 오관3리마을회관마을회관충청남도 홍성군 홍성읍 아문길 60충청남도 홍성군 홍성읍 오관리 875-436.599738126.663709영업1980-01-0180충청남도 홍성군청2023-09-12
3홍성읍 오관4리마을회관마을회관충청남도 홍성군 홍성읍 조양로10번길 76충청남도 홍성군 홍성읍 오관리 443-1136.597955126.660587영업1997-01-01198충청남도 홍성군청2023-09-12
4홍성읍 오관5리마을회관마을회관충청남도 홍성군 홍성읍 조양로33번길 20-18충청남도 홍성군 홍성읍 오관리 654-136.599744126.656114영업2013-01-01121충청남도 홍성군청2023-09-12
5홍성읍 오관6리마을회관마을회관충청남도 홍성군 홍성읍 조양로75번길 26-3충청남도 홍성군 홍성읍 오관리 75036.602179126.658405영업2002-01-01210충청남도 홍성군청2023-09-12
6홍성읍 오관7리마을회관마을회관충청남도 홍성군 홍성읍 충절로1053번길 30충청남도 홍성군 홍성읍 오관리 364-336.598033126.665934영업1990-01-01212충청남도 홍성군청2023-09-12
7홍성읍 오관8리마을회관마을회관충청남도 홍성군 홍성읍 충절로1032번길 34-5충청남도 홍성군 홍성읍 오관리 334-1036.599281126.669762영업1994-01-01100충청남도 홍성군청2023-09-12
8홍성읍 오관9리마을회관마을회관충청남도 홍성군 홍성읍 충절로1053번길 30충청남도 홍성군 홍성읍 오관리 364-336.598033126.665934영업1990-01-01212충청남도 홍성군청2023-09-12
9홍성읍 오관10리마을회관마을회관충청남도 홍성군 홍성읍 충절로1053번길 50충청남도 홍성군 홍성읍 오관리 543-636.597291126.66669영업1994-01-01214충청남도 홍성군청2023-09-12
시설명시설유형소재지도로명주소소재지지번주소위도경도영업상태명건립일자건물면적관리기관명데이터기준일자
327구항면 발현마을회관마을회관충청남도 홍성군 구항면 구성남로912번길 45충청남도 홍성군 구항면 내현리 64-236.58265126.609625영업2001-01-01138충청남도 홍성군청2023-09-12
328구항면 지석마을회관마을회관충청남도 홍성군 구항면 거북로 202충청남도 홍성군 구항면 지정리 81636.55676126.62524영업2002-01-01208충청남도 홍성군청2023-09-12
329구항면 묵동마을회관마을회관충청남도 홍성군 구항면 거북로8번길 5-14충청남도 홍성군 구항면 지정리 85-136.547695126.638415영업2003-01-0184충청남도 홍성군청2023-09-12
330구항면 대정마을회관마을회관충청남도 홍성군 구항면 구성남길171번길 7<NA>36.573058126.618854영업2002-01-01105충청남도 홍성군청2023-09-12
331구항면 신곡마을회관마을회관충청남도 홍성군 구항면 충서로641번길 14-3충청남도 홍성군 구항면 신곡리 462-836.538925126.630972영업2008-01-01133충청남도 홍성군청2023-09-12
332구항면 척괴마을회관마을회관충청남도 홍성군 구항면 충서로726번길 142충청남도 홍성군 구항면 신곡리 69036.542629126.648673영업2001-01-01116충청남도 홍성군청2023-09-12
333구항면 청광마을회관마을회관충청남도 홍성군 구항면 충서로877번길 30충청남도 홍성군 구항면 청광리 460-336.557571126.643918영업1997-01-01186충청남도 홍성군청2023-09-12
334구항면 소반마을회관마을회관충청남도 홍성군 구항면 충서로872번길 43-17충청남도 홍성군 구항면 청광리 171-136.555336126.649614영업1999-01-01152충청남도 홍성군청2023-09-12
335구항면마온마을회관마을회관충청남도 홍성군 구항면 충서로999번길 8충청남도 홍성군 구항면 마온리 197-136.566591126.648696영업1999-01-01247충청남도 홍성군청2023-09-12
336구항면 온요마을회관마을회관충청남도 홍성군 구항면 충서로999번길 101-6충청남도 홍성군 구항면 마온리 32536.569851126.640925영업2001-01-01101충청남도 홍성군청2023-09-12