Overview

Dataset statistics

Number of variables11
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory93.4 B

Variable types

Categorical4
Text3
Numeric4

Dataset

Description경기도 파주시 수해 대피 임시 주거시설 현황 정보로서, 시설명, 소재지 도로명주소, 지번주소, 위도, 경도, 수용면적, 수용가능인원 등의 데이터를 포함하고 있습니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/15126439/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
면적 is highly overall correlated with 수용가능인원High correlation
수용가능인원 is highly overall correlated with 면적High correlation
시설구분 is highly imbalanced (56.4%)Imbalance
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:33:53.726883
Analysis finished2024-03-14 23:33:59.579817
Duration5.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size872.0 B
학교
75 
경로당
10 
마을회관
 
5
교회
 
2
기타
 
1

Length

Max length4
Median length2
Mean length2.2150538
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
학교 75
80.6%
경로당 10
 
10.8%
마을회관 5
 
5.4%
교회 2
 
2.2%
기타 1
 
1.1%

Length

2024-03-15T08:33:59.774291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:34:00.130550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 75
80.6%
경로당 10
 
10.8%
마을회관 5
 
5.4%
교회 2
 
2.2%
기타 1
 
1.1%

시설명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-03-15T08:34:01.087121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6.2903226
Min length5

Characters and Unicode

Total characters585
Distinct characters110
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

Unique93 ?
Unique (%)100.0%

Sample

1st row선유4리경로당
2nd row문산장로교회
3rd row선유중앙교회
4th row내포4리마을회관
5th row선유4리마을회관
ValueCountFrequency (%)
선유4리경로당 1
 
1.1%
객현1리마을회관 1
 
1.1%
석곶초등학교 1
 
1.1%
문발초등학교 1
 
1.1%
두일초등학교 1
 
1.1%
교하초등학교 1
 
1.1%
교하중학교 1
 
1.1%
파주송화초등학교 1
 
1.1%
문산중학교 1
 
1.1%
문산제일고등학교 1
 
1.1%
Other values (84) 84
89.4%
2024-03-15T08:34:02.537916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 79
 
13.5%
학 76
 
13.0%
등 58
 
9.9%
초 49
 
8.4%
중 17
 
2.9%
리 15
 
2.6%
산 14
 
2.4%
경 12
 
2.1%
로 11
 
1.9%
당 11
 
1.9%
Other values (100) 243
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
97.3%
Decimal Number 15
 
2.6%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 79
 
13.9%
학 76
 
13.4%
등 58
 
10.2%
초 49
 
8.6%
중 17
 
3.0%
리 15
 
2.6%
산 14
 
2.5%
경 12
 
2.1%
로 11
 
1.9%
당 11
 
1.9%
Other values (94) 227
39.9%
Decimal Number
ValueCountFrequency (%)
2 5
33.3%
1 4
26.7%
4 3
20.0%
0 2
 
13.3%
3 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
97.3%
Common 16
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 79
 
13.9%
학 76
 
13.4%
등 58
 
10.2%
초 49
 
8.6%
중 17
 
3.0%
리 15
 
2.6%
산 14
 
2.5%
경 12
 
2.1%
로 11
 
1.9%
당 11
 
1.9%
Other values (94) 227
39.9%
Common
ValueCountFrequency (%)
2 5
31.2%
1 4
25.0%
4 3
18.8%
0 2
 
12.5%
3 1
 
6.2%
1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
97.3%
ASCII 16
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 79
 
13.9%
학 76
 
13.4%
등 58
 
10.2%
초 49
 
8.6%
중 17
 
3.0%
리 15
 
2.6%
산 14
 
2.5%
경 12
 
2.1%
로 11
 
1.9%
당 11
 
1.9%
Other values (94) 227
39.9%
ASCII
ValueCountFrequency (%)
2 5
31.2%
1 4
25.0%
4 3
18.8%
0 2
 
12.5%
3 1
 
6.2%
1
 
6.2%

소재지도로명주소
Text

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-03-15T08:34:03.634073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.258065
Min length13

Characters and Unicode

Total characters1698
Distinct characters141
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

Unique91 ?
Unique (%)97.8%

Sample

1st row경기도 파주시 문산읍 독서울3길 11
2nd row경기도 파주시 문산읍 독산로35번길 26
3rd row경기도 파주시 문산읍 독서울5길 18-30
4th row경기도 파주시 문산읍 문현말길 167-8
5th row경기도 파주시 문산읍 독서울5길 9
ValueCountFrequency (%)
경기도 93
21.8%
파주시 93
21.8%
문산읍 11
 
2.6%
법원읍 8
 
1.9%
적성면 7
 
1.6%
월롱면 6
 
1.4%
조리읍 5
 
1.2%
광탄면 5
 
1.2%
파평면 4
 
0.9%
탄현면 4
 
0.9%
Other values (147) 190
44.6%
2024-03-15T08:34:05.056353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
19.6%
파 101
 
5.9%
기 98
 
5.8%
주 96
 
5.7%
도 95
 
5.6%
경 94
 
5.5%
시 93
 
5.5%
1 66
 
3.9%
로 65
 
3.8%
3 43
 
2.5%
Other values (131) 614
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
63.3%
Space Separator 333
 
19.6%
Decimal Number 282
 
16.6%
Dash Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 101
 
9.4%
기 98
 
9.1%
주 96
 
8.9%
도 95
 
8.8%
경 94
 
8.7%
시 93
 
8.7%
로 65
 
6.0%
길 42
 
3.9%
읍 27
 
2.5%
면 27
 
2.5%
Other values (119) 337
31.3%
Decimal Number
ValueCountFrequency (%)
1 66
23.4%
3 43
15.2%
7 26
 
9.2%
0 25
 
8.9%
2 25
 
8.9%
5 24
 
8.5%
6 20
 
7.1%
9 19
 
6.7%
4 18
 
6.4%
8 16
 
5.7%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1075
63.3%
Common 623
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 101
 
9.4%
기 98
 
9.1%
주 96
 
8.9%
도 95
 
8.8%
경 94
 
8.7%
시 93
 
8.7%
로 65
 
6.0%
길 42
 
3.9%
읍 27
 
2.5%
면 27
 
2.5%
Other values (119) 337
31.3%
Common
ValueCountFrequency (%)
333
53.5%
1 66
 
10.6%
3 43
 
6.9%
7 26
 
4.2%
0 25
 
4.0%
2 25
 
4.0%
5 24
 
3.9%
6 20
 
3.2%
9 19
 
3.0%
4 18
 
2.9%
Other values (2) 24
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1075
63.3%
ASCII 623
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
53.5%
1 66
 
10.6%
3 43
 
6.9%
7 26
 
4.2%
0 25
 
4.0%
2 25
 
4.0%
5 24
 
3.9%
6 20
 
3.2%
9 19
 
3.0%
4 18
 
2.9%
Other values (2) 24
 
3.9%
Hangul
ValueCountFrequency (%)
파 101
 
9.4%
기 98
 
9.1%
주 96
 
8.9%
도 95
 
8.8%
경 94
 
8.7%
시 93
 
8.7%
로 65
 
6.0%
길 42
 
3.9%
읍 27
 
2.5%
면 27
 
2.5%
Other values (119) 337
31.3%

소재지지번주소
Text

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-03-15T08:34:06.449426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.795699
Min length15

Characters and Unicode

Total characters1748
Distinct characters96
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

Unique91 ?
Unique (%)97.8%

Sample

1st row경기도 파주시 문산읍 선유리 423-1
2nd row경기도 파주시 문산읍 문산리 95-39
3rd row경기도 파주시 문산읍 선유리 397-6
4th row경기도 파주시 문산읍 내포리 355-1
5th row경기도 파주시 문산읍 선유리 426-9
ValueCountFrequency (%)
경기도 93
21.5%
파주시 93
21.5%
문산읍 11
 
2.5%
동패동 8
 
1.9%
법원읍 8
 
1.9%
적성면 7
 
1.6%
금촌동 7
 
1.6%
월롱면 6
 
1.4%
산 6
 
1.4%
목동동 6
 
1.4%
Other values (147) 187
43.3%
2024-03-15T08:34:08.167495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
19.4%
파 103
 
5.9%
주 97
 
5.5%
도 94
 
5.4%
경 93
 
5.3%
시 93
 
5.3%
기 93
 
5.3%
1 68
 
3.9%
동 63
 
3.6%
리 59
 
3.4%
Other values (86) 646
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1008
57.7%
Decimal Number 345
 
19.7%
Space Separator 339
 
19.4%
Dash Punctuation 56
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 103
 
10.2%
주 97
 
9.6%
도 94
 
9.3%
경 93
 
9.2%
시 93
 
9.2%
기 93
 
9.2%
동 63
 
6.2%
리 59
 
5.9%
읍 27
 
2.7%
면 27
 
2.7%
Other values (74) 259
25.7%
Decimal Number
ValueCountFrequency (%)
1 68
19.7%
3 39
11.3%
6 38
11.0%
2 33
9.6%
5 32
9.3%
8 31
9.0%
9 29
8.4%
4 27
 
7.8%
7 26
 
7.5%
0 22
 
6.4%
Space Separator
ValueCountFrequency (%)
339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1008
57.7%
Common 740
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 103
 
10.2%
주 97
 
9.6%
도 94
 
9.3%
경 93
 
9.2%
시 93
 
9.2%
기 93
 
9.2%
동 63
 
6.2%
리 59
 
5.9%
읍 27
 
2.7%
면 27
 
2.7%
Other values (74) 259
25.7%
Common
ValueCountFrequency (%)
339
45.8%
1 68
 
9.2%
- 56
 
7.6%
3 39
 
5.3%
6 38
 
5.1%
2 33
 
4.5%
5 32
 
4.3%
8 31
 
4.2%
9 29
 
3.9%
4 27
 
3.6%
Other values (2) 48
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1008
57.7%
ASCII 740
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
45.8%
1 68
 
9.2%
- 56
 
7.6%
3 39
 
5.3%
6 38
 
5.1%
2 33
 
4.5%
5 32
 
4.3%
8 31
 
4.2%
9 29
 
3.9%
4 27
 
3.6%
Other values (2) 48
 
6.5%
Hangul
ValueCountFrequency (%)
파 103
 
10.2%
주 97
 
9.6%
도 94
 
9.3%
경 93
 
9.2%
시 93
 
9.2%
기 93
 
9.2%
동 63
 
6.2%
리 59
 
5.9%
읍 27
 
2.7%
면 27
 
2.7%
Other values (74) 259
25.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.801194
Minimum37.708047
Maximum37.978329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size965.0 B
2024-03-15T08:34:08.551280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.708047
5-th percentile37.712983
Q137.730923
median37.775105
Q337.859223
95-th percentile37.947764
Maximum37.978329
Range0.27028208
Interquartile range (IQR)0.12829937

Descriptive statistics

Standard deviation0.075955993
Coefficient of variation (CV)0.0020093544
Kurtosis-0.74486336
Mean37.801194
Median Absolute Deviation (MAD)0.052296301
Skewness0.64659971
Sum3515.511
Variance0.0057693129
MonotonicityNot monotonic
2024-03-15T08:34:09.011688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7726039859 2
 
2.2%
37.866168222 1
 
1.1%
37.7764121772 1
 
1.1%
37.7080465342 1
 
1.1%
37.7251920081 1
 
1.1%
37.7261672424 1
 
1.1%
37.7201011271 1
 
1.1%
37.7537244486 1
 
1.1%
37.7228129439 1
 
1.1%
37.7745968625 1
 
1.1%
Other values (82) 82
88.2%
ValueCountFrequency (%)
37.7080465342 1
1.1%
37.7085700516 1
1.1%
37.7099723461625 1
1.1%
37.7099874991628 1
1.1%
37.7104938813 1
1.1%
37.7146429196 1
1.1%
37.719982972 1
1.1%
37.7201011271 1
1.1%
37.7206810336 1
1.1%
37.7214027185 1
1.1%
ValueCountFrequency (%)
37.978328619 1
1.1%
37.9693481294 1
1.1%
37.954317782 1
1.1%
37.9520923502 1
1.1%
37.9510436844 1
1.1%
37.9455777258 1
1.1%
37.9413672969 1
1.1%
37.9289459659 1
1.1%
37.9240207459 1
1.1%
37.9200656555 1
1.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.79503
Minimum126.70331
Maximum126.95626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size965.0 B
2024-03-15T08:34:09.453427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.70331
5-th percentile126.71554
Q1126.74987
median126.77923
Q3126.83745
95-th percentile126.904
Maximum126.95626
Range0.25295374
Interquartile range (IQR)0.087577131

Descriptive statistics

Standard deviation0.06199797
Coefficient of variation (CV)0.00048896215
Kurtosis-0.16572243
Mean126.79503
Median Absolute Deviation (MAD)0.040251807
Skewness0.71759209
Sum11791.938
Variance0.0038437483
MonotonicityNot monotonic
2024-03-15T08:34:09.861763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7628873051 2
 
2.2%
126.8053057912 1
 
1.1%
126.7386513947 1
 
1.1%
126.7033101515 1
 
1.1%
126.7217543554 1
 
1.1%
126.7069653769 1
 
1.1%
126.7136092083 1
 
1.1%
126.7470598998 1
 
1.1%
126.7208924747 1
 
1.1%
126.7792303963 1
 
1.1%
Other values (82) 82
88.2%
ValueCountFrequency (%)
126.7033101515 1
1.1%
126.7036459971 1
1.1%
126.7069653769 1
1.1%
126.7125569858 1
1.1%
126.7136092083 1
1.1%
126.7168234918 1
1.1%
126.71708727793 1
1.1%
126.7195884161 1
1.1%
126.719886687399 1
1.1%
126.7208924747 1
1.1%
ValueCountFrequency (%)
126.9562638951 1
1.1%
126.9519162667 1
1.1%
126.9518153416 1
1.1%
126.919738605 1
1.1%
126.9145345007 1
1.1%
126.8969826549 1
1.1%
126.8957052 1
1.1%
126.8880587452 1
1.1%
126.8855095107 1
1.1%
126.8818703331 1
1.1%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1149.5308
Minimum20
Maximum10061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size965.0 B
2024-03-15T08:34:10.119860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile100.8
Q1238
median552
Q3809
95-th percentile5011.6
Maximum10061
Range10041
Interquartile range (IQR)571

Descriptive statistics

Standard deviation2083.257
Coefficient of variation (CV)1.8122673
Kurtosis11.592761
Mean1149.5308
Median Absolute Deviation (MAD)293
Skewness3.4386789
Sum106906.36
Variance4339959.9
MonotonicityNot monotonic
2024-03-15T08:34:10.538911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
690.0 3
 
3.2%
132.0 2
 
2.2%
609.0 1
 
1.1%
9957.0 1
 
1.1%
932.0 1
 
1.1%
172.0 1
 
1.1%
582.0 1
 
1.1%
433.0 1
 
1.1%
260.0 1
 
1.1%
1466.0 1
 
1.1%
Other values (80) 80
86.0%
ValueCountFrequency (%)
20.0 1
1.1%
40.0 1
1.1%
75.0 1
1.1%
94.0 1
1.1%
99.0 1
1.1%
102.0 1
1.1%
114.0 1
1.1%
116.0 1
1.1%
132.0 2
2.2%
135.0 1
1.1%
ValueCountFrequency (%)
10061.0 1
1.1%
9957.0 1
1.1%
9762.0 1
1.1%
9702.0 1
1.1%
5419.0 1
1.1%
4740.0 1
1.1%
4251.0 1
1.1%
3501.0 1
1.1%
3267.0 1
1.1%
2300.0 1
1.1%

수용가능인원
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.86022
Minimum7
Maximum3869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size965.0 B
2024-03-15T08:34:10.967675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile38.6
Q191
median210
Q3311
95-th percentile1927.4
Maximum3869
Range3862
Interquartile range (IQR)220

Descriptive statistics

Standard deviation801.43816
Coefficient of variation (CV)1.8178963
Kurtosis11.591305
Mean440.86022
Median Absolute Deviation (MAD)112
Skewness3.438413
Sum41000
Variance642303.12
MonotonicityNot monotonic
2024-03-15T08:34:11.371875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265 4
 
4.3%
66 3
 
3.2%
50 3
 
3.2%
155 2
 
2.2%
206 2
 
2.2%
100 2
 
2.2%
78 2
 
2.2%
210 2
 
2.2%
358 1
 
1.1%
200 1
 
1.1%
Other values (71) 71
76.3%
ValueCountFrequency (%)
7 1
 
1.1%
15 1
 
1.1%
28 1
 
1.1%
36 1
 
1.1%
38 1
 
1.1%
39 1
 
1.1%
43 1
 
1.1%
44 1
 
1.1%
50 3
3.2%
52 1
 
1.1%
ValueCountFrequency (%)
3869 1
1.1%
3829 1
1.1%
3754 1
1.1%
3731 1
1.1%
2084 1
1.1%
1823 1
1.1%
1635 1
1.1%
1340 1
1.1%
1256 1
1.1%
884 1
1.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size872.0 B
경기도 파주시청
93 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 93
100.0%

Length

2024-03-15T08:34:11.615476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:34:11.775611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 93
50.0%
파주시청 93
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size872.0 B
031-940-4391
93 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-4391
2nd row031-940-4391
3rd row031-940-4391
4th row031-940-4391
5th row031-940-4391

Common Values

ValueCountFrequency (%)
031-940-4391 93
100.0%

Length

2024-03-15T08:34:11.945690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:34:12.184830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-4391 93
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-01-22
93 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-22
2nd row2024-01-22
3rd row2024-01-22
4th row2024-01-22
5th row2024-01-22

Common Values

ValueCountFrequency (%)
2024-01-22 93
100.0%

Length

2024-03-15T08:34:12.364264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:34:12.518758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-22 93
100.0%

Interactions

2024-03-15T08:33:57.633251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:54.433422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:55.561267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:56.407748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:57.948424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:54.678826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:55.874970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:56.740319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:58.262409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:54.994615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:56.068004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:57.080482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:58.569289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:55.259866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:56.234360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:57.338418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:34:12.631626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명소재지도로명주소소재지지번주소위도경도면적수용가능인원
시설구분1.0001.0001.0001.0000.6290.7520.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0000.0000.000
소재지지번주소1.0001.0001.0001.0001.0001.0000.0000.000
위도0.6291.0001.0001.0001.0000.8430.2560.256
경도0.7521.0001.0001.0000.8431.0000.0000.000
면적0.0001.0000.0000.0000.2560.0001.0001.000
수용가능인원0.0001.0000.0000.0000.2560.0001.0001.000
2024-03-15T08:34:12.843210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적수용가능인원시설구분
위도1.0000.717-0.244-0.2360.300
경도0.7171.000-0.279-0.2720.396
면적-0.244-0.2791.0000.9990.000
수용가능인원-0.236-0.2720.9991.0000.000
시설구분0.3000.3960.0000.0001.000

Missing values

2024-03-15T08:33:58.856648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:33:59.472828image/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

시설구분시설명소재지도로명주소소재지지번주소위도경도면적수용가능인원관리기관명관리기관전화번호데이터기준일자
0경로당선유4리경로당경기도 파주시 문산읍 독서울3길 11경기도 파주시 문산읍 선유리 423-137.866168126.80530620.07경기도 파주시청031-940-43912024-01-22
1교회문산장로교회경기도 파주시 문산읍 독산로35번길 26경기도 파주시 문산읍 문산리 95-3937.858835126.783357256.098경기도 파주시청031-940-43912024-01-22
2교회선유중앙교회경기도 파주시 문산읍 독서울5길 18-30경기도 파주시 문산읍 선유리 397-637.868264126.80657775.028경기도 파주시청031-940-43912024-01-22
3마을회관내포4리마을회관경기도 파주시 문산읍 문현말길 167-8경기도 파주시 문산읍 내포리 355-137.843649126.768665199.076경기도 파주시청031-940-43912024-01-22
4마을회관선유4리마을회관경기도 파주시 문산읍 독서울5길 9경기도 파주시 문산읍 선유리 426-937.866824126.80647340.015경기도 파주시청031-940-43912024-01-22
5학교마정초등학교경기도 파주시 문산읍 마정로124번길 13경기도 파주시 문산읍 마정리 568-737.892258126.760099536.0206경기도 파주시청031-940-43912024-01-22
6학교문산동초등학교경기도 파주시 문산읍 선유울3길 85경기도 파주시 문산읍 선유리 788-137.86563126.798137270.0100경기도 파주시청031-940-43912024-01-22
7학교문산초등학교경기도 파주시 문산읍 문향로67번길 58경기도 파주시 문산읍 문산리 8637.860719126.783146966.0371경기도 파주시청031-940-43912024-01-22
8학교파주고등학교경기도 파주시 문산읍 독산로31번길 39경기도 파주시 문산읍 문산리 산 8-537.859223126.780665644.0247경기도 파주시청031-940-43912024-01-22
9학교세경고등학교경기도 파주시 파주읍 술이홀로 379경기도 파주시 파주읍 연풍리 산 87-637.831315126.8299025419.02084경기도 파주시청031-940-43912024-01-22
시설구분시설명소재지도로명주소소재지지번주소위도경도면적수용가능인원관리기관명관리기관전화번호데이터기준일자
83학교한빛중학교경기도 파주시 한빛로 56경기도 파주시 야당동 99237.714643126.754881622.0239경기도 파주시청031-940-43912024-01-22
84경로당상지석2리 경로당경기도 파주시 운정로 102경기도 파주시 상지석동 560-1137.721403126.777074171.065경기도 파주시청031-940-43912024-01-22
85경로당야당3리경로당경기도 파주시 운정1길 27-16경기도 파주시 야당동 37-237.72366126.769128173.066경기도 파주시청031-940-43912024-01-22
86학교심학중학교경기도 파주시 양지로 75경기도 파주시 동패동 212037.709972126.717087650.0250경기도 파주시청031-940-43912024-01-22
87학교초롱초등학교경기도 파주시 양지로 101경기도 파주시 동패동 212237.709987126.719887724.0278경기도 파주시청031-940-43912024-01-22
88학교자유초등학교경기도 파주시 문산읍 방촌로 1722경기도 파주시 문산읍 당동리 93937.865537126.786554757.0291경기도 파주시청031-940-43912024-01-22
89학교선유중학교경기도 파주시 문산읍 독서울1길 37경기도 파주시 문산읍 선유리 산 26-837.866907126.802218680.0262경기도 파주시청031-940-43912024-01-22
90학교두일중학교경기도 파주시 책향기숲길 39경기도 파주시 동패동 174437.719983126.7125573501.01340경기도 파주시청031-940-43912024-01-22
91학교산들초등학교경기도 파주시 교하로 60경기도 파주시 목동동 91037.729378126.73125596.0229경기도 파주시청031-940-43912024-01-22
92학교천현초등학교경기도 파주시 법원읍 사임당로 875경기도 파주시 법원읍 법원리 456-337.849777126.878402758.0290경기도 파주시청031-940-43912024-01-22