Overview

Dataset statistics

Number of variables13
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory110.4 B

Variable types

Numeric5
Categorical4
Text3
DateTime1

Dataset

Description충청남도 보령시 이재민 임시주거시설 지정현황 정보를 제공합니다. 읍면동, 시설구분, 시설명, 도로명주소, 지번주소, 위도, 경도, 지정분야(풍수해, 지진 등), 면적, 수용인원 등의 정보를 포함하고 있습니다.
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15113946/fileData.do

Alerts

지정분야 has constant value ""Constant
데이터기준일자 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 연락처High correlation
면적 is highly overall correlated with 수용인원High correlation
수용인원 is highly overall correlated with 면적High correlation
읍면동 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연락처 is highly overall correlated with 경도High correlation
연락처 is highly imbalanced (66.5%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:33:21.528077
Analysis finished2023-12-12 22:33:24.573212
Duration3.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T07:33:24.638831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2023-12-13T07:33:24.740589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

읍면동
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size868.0 B
오천면
16 
대천동
10 
천북면
7 
웅천읍
6 
주산면
5 
Other values (16)
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique4 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
오천면 16
17.4%
대천동 10
10.9%
천북면 7
 
7.6%
웅천읍 6
 
6.5%
주산면 5
 
5.4%
신흑동 5
 
5.4%
명천동 5
 
5.4%
주교면 5
 
5.4%
청라면 5
 
5.4%
남포면 4
 
4.3%
Other values (11) 24
26.1%

Length

2023-12-13T07:33:24.835483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오천면 16
17.4%
대천동 10
10.9%
천북면 7
 
7.6%
웅천읍 6
 
6.5%
주산면 5
 
5.4%
신흑동 5
 
5.4%
명천동 5
 
5.4%
주교면 5
 
5.4%
청라면 5
 
5.4%
성주면 4
 
4.3%
Other values (11) 24
26.1%

시설구분
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
학교
39 
경로당
23 
마을회관
20 
연수+숙박
7 
기타시설
 
3

Length

Max length5
Median length4
Mean length2.9782609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타시설
2nd row연수+숙박
3rd row학교
4th row학교
5th row학교

Common Values

ValueCountFrequency (%)
학교 39
42.4%
경로당 23
25.0%
마을회관 20
21.7%
연수+숙박 7
 
7.6%
기타시설 3
 
3.3%

Length

2023-12-13T07:33:24.922856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:33:25.003877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 39
42.4%
경로당 23
25.0%
마을회관 20
21.7%
연수+숙박 7
 
7.6%
기타시설 3
 
3.3%

시설명
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T07:33:25.209673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.8369565
Min length3

Characters and Unicode

Total characters629
Distinct characters118
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

Unique92 ?
Unique (%)100.0%

Sample

1st row웅천복지회관
2nd row비체팰리스
3rd row관당초등학교
4th row대창초등학교
5th row웅천중고등학교
ValueCountFrequency (%)
경로당 17
 
14.3%
마을회관 9
 
7.6%
웅천복지회관 1
 
0.8%
주교1리 1
 
0.8%
대천초등학교 1
 
0.8%
대천고등학교 1
 
0.8%
휴모텔 1
 
0.8%
하이모텔 1
 
0.8%
캐빈모텔 1
 
0.8%
대천15통마을회관 1
 
0.8%
Other values (85) 85
71.4%
2023-12-13T07:33:25.905952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 42
 
6.7%
교 40
 
6.4%
등 32
 
5.1%
초 27
 
4.3%
27
 
4.3%
관 25
 
4.0%
리 25
 
4.0%
당 23
 
3.7%
경 22
 
3.5%
로 22
 
3.5%
Other values (108) 344
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
90.5%
Decimal Number 33
 
5.2%
Space Separator 27
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 42
 
7.4%
교 40
 
7.0%
등 32
 
5.6%
초 27
 
4.7%
관 25
 
4.4%
리 25
 
4.4%
당 23
 
4.0%
경 22
 
3.9%
로 22
 
3.9%
회 22
 
3.9%
Other values (100) 289
50.8%
Decimal Number
ValueCountFrequency (%)
1 11
33.3%
2 10
30.3%
3 7
21.2%
7 2
 
6.1%
5 1
 
3.0%
4 1
 
3.0%
6 1
 
3.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
90.5%
Common 60
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 42
 
7.4%
교 40
 
7.0%
등 32
 
5.6%
초 27
 
4.7%
관 25
 
4.4%
리 25
 
4.4%
당 23
 
4.0%
경 22
 
3.9%
로 22
 
3.9%
회 22
 
3.9%
Other values (100) 289
50.8%
Common
ValueCountFrequency (%)
27
45.0%
1 11
18.3%
2 10
 
16.7%
3 7
 
11.7%
7 2
 
3.3%
5 1
 
1.7%
4 1
 
1.7%
6 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
90.5%
ASCII 60
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 42
 
7.4%
교 40
 
7.0%
등 32
 
5.6%
초 27
 
4.7%
관 25
 
4.4%
리 25
 
4.4%
당 23
 
4.0%
경 22
 
3.9%
로 22
 
3.9%
회 22
 
3.9%
Other values (100) 289
50.8%
ASCII
ValueCountFrequency (%)
27
45.0%
1 11
18.3%
2 10
 
16.7%
3 7
 
11.7%
7 2
 
3.3%
5 1
 
1.7%
4 1
 
1.7%
6 1
 
1.7%

도로명주소
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T07:33:26.198451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22.5
Mean length19.478261
Min length15

Characters and Unicode

Total characters1792
Distinct characters133
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

Unique92 ?
Unique (%)100.0%

Sample

1st row충청남도 보령시 웅천읍 장터2길 15
2nd row충청남도 보령시 웅천읍 열린바다1길 78
3rd row충청남도 보령시 웅천읍 무창포로 309
4th row충청남도 보령시 웅천읍 방축길 90-43
5th row충청남도 보령시 웅천읍 방축길 87
ValueCountFrequency (%)
충청남도 92
21.4%
보령시 92
21.4%
오천면 16
 
3.7%
천북면 7
 
1.6%
웅천읍 6
 
1.4%
주교면 5
 
1.2%
청라면 5
 
1.2%
주산면 5
 
1.2%
주포면 4
 
0.9%
남포면 4
 
0.9%
Other values (169) 193
45.0%
2023-12-13T07:33:26.638432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
18.8%
도 106
 
5.9%
청 102
 
5.7%
남 100
 
5.6%
보 97
 
5.4%
령 97
 
5.4%
충 96
 
5.4%
시 94
 
5.2%
길 60
 
3.3%
면 55
 
3.1%
Other values (123) 648
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1167
65.1%
Space Separator 337
 
18.8%
Decimal Number 267
 
14.9%
Dash Punctuation 21
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 106
 
9.1%
청 102
 
8.7%
남 100
 
8.6%
보 97
 
8.3%
령 97
 
8.3%
충 96
 
8.2%
시 94
 
8.1%
길 60
 
5.1%
면 55
 
4.7%
천 39
 
3.3%
Other values (111) 321
27.5%
Decimal Number
ValueCountFrequency (%)
1 54
20.2%
2 46
17.2%
7 27
10.1%
3 25
9.4%
6 24
9.0%
4 24
9.0%
5 21
 
7.9%
0 16
 
6.0%
8 15
 
5.6%
9 15
 
5.6%
Space Separator
ValueCountFrequency (%)
337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1167
65.1%
Common 625
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 106
 
9.1%
청 102
 
8.7%
남 100
 
8.6%
보 97
 
8.3%
령 97
 
8.3%
충 96
 
8.2%
시 94
 
8.1%
길 60
 
5.1%
면 55
 
4.7%
천 39
 
3.3%
Other values (111) 321
27.5%
Common
ValueCountFrequency (%)
337
53.9%
1 54
 
8.6%
2 46
 
7.4%
7 27
 
4.3%
3 25
 
4.0%
6 24
 
3.8%
4 24
 
3.8%
5 21
 
3.4%
- 21
 
3.4%
0 16
 
2.6%
Other values (2) 30
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1167
65.1%
ASCII 625
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
53.9%
1 54
 
8.6%
2 46
 
7.4%
7 27
 
4.3%
3 25
 
4.0%
6 24
 
3.8%
4 24
 
3.8%
5 21
 
3.4%
- 21
 
3.4%
0 16
 
2.6%
Other values (2) 30
 
4.8%
Hangul
ValueCountFrequency (%)
도 106
 
9.1%
청 102
 
8.7%
남 100
 
8.6%
보 97
 
8.3%
령 97
 
8.3%
충 96
 
8.2%
시 94
 
8.1%
길 60
 
5.1%
면 55
 
4.7%
천 39
 
3.3%
Other values (111) 321
27.5%

지번주소
Text

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T07:33:27.041558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.293478
Min length15

Characters and Unicode

Total characters1867
Distinct characters83
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

Unique90 ?
Unique (%)97.8%

Sample

1st row충청남도 보령시 웅천읍 대창리 436-7
2nd row충청남도 보령시 웅천읍 독산리 784-1
3rd row충청남도 보령시 웅천읍 죽청리 121-4
4th row충청남도 보령시 웅천읍 대창리 181
5th row충청남도 보령시 웅천읍 대창리 449-1
ValueCountFrequency (%)
충청남도 92
21.3%
보령시 92
21.3%
오천면 16
 
3.7%
대천동 10
 
2.3%
천북면 7
 
1.6%
웅천읍 6
 
1.4%
효자도리 6
 
1.4%
명천동 5
 
1.2%
청라면 5
 
1.2%
주산면 5
 
1.2%
Other values (145) 188
43.5%
2023-12-13T07:33:27.556413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
18.2%
도 106
 
5.7%
청 100
 
5.4%
남 97
 
5.2%
보 95
 
5.1%
령 95
 
5.1%
시 95
 
5.1%
충 92
 
4.9%
- 65
 
3.5%
1 62
 
3.3%
Other values (73) 720
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1118
59.9%
Decimal Number 344
 
18.4%
Space Separator 340
 
18.2%
Dash Punctuation 65
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 106
 
9.5%
청 100
 
8.9%
남 97
 
8.7%
보 95
 
8.5%
령 95
 
8.5%
시 95
 
8.5%
충 92
 
8.2%
리 61
 
5.5%
면 55
 
4.9%
천 46
 
4.1%
Other values (61) 276
24.7%
Decimal Number
ValueCountFrequency (%)
1 62
18.0%
3 50
14.5%
4 38
11.0%
2 37
10.8%
5 34
9.9%
6 34
9.9%
8 24
 
7.0%
7 22
 
6.4%
0 22
 
6.4%
9 21
 
6.1%
Space Separator
ValueCountFrequency (%)
340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1118
59.9%
Common 749
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 106
 
9.5%
청 100
 
8.9%
남 97
 
8.7%
보 95
 
8.5%
령 95
 
8.5%
시 95
 
8.5%
충 92
 
8.2%
리 61
 
5.5%
면 55
 
4.9%
천 46
 
4.1%
Other values (61) 276
24.7%
Common
ValueCountFrequency (%)
340
45.4%
- 65
 
8.7%
1 62
 
8.3%
3 50
 
6.7%
4 38
 
5.1%
2 37
 
4.9%
5 34
 
4.5%
6 34
 
4.5%
8 24
 
3.2%
7 22
 
2.9%
Other values (2) 43
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1118
59.9%
ASCII 749
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
45.4%
- 65
 
8.7%
1 62
 
8.3%
3 50
 
6.7%
4 38
 
5.1%
2 37
 
4.9%
5 34
 
4.5%
6 34
 
4.5%
8 24
 
3.2%
7 22
 
2.9%
Other values (2) 43
 
5.7%
Hangul
ValueCountFrequency (%)
도 106
 
9.5%
청 100
 
8.9%
남 97
 
8.7%
보 95
 
8.5%
령 95
 
8.5%
시 95
 
8.5%
충 92
 
8.2%
리 61
 
5.5%
면 55
 
4.9%
천 46
 
4.1%
Other values (61) 276
24.7%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.348305
Minimum36.190555
Maximum36.494173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T07:33:27.711946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.190555
5-th percentile36.219358
Q136.314671
median36.350002
Q336.394208
95-th percentile36.460531
Maximum36.494173
Range0.30361775
Interquartile range (IQR)0.079537233

Descriptive statistics

Standard deviation0.071648223
Coefficient of variation (CV)0.0019711572
Kurtosis-0.2451
Mean36.348305
Median Absolute Deviation (MAD)0.042844085
Skewness-0.28713354
Sum3344.0441
Variance0.0051334678
MonotonicityNot monotonic
2023-12-13T07:33:27.880518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.23263293 1
 
1.1%
36.36664959 1
 
1.1%
36.35400557 1
 
1.1%
36.35411552 1
 
1.1%
36.36580643 1
 
1.1%
36.34904729 1
 
1.1%
36.3503397 1
 
1.1%
36.34922812 1
 
1.1%
36.346636 1
 
1.1%
36.3769347 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
36.19055545 1
1.1%
36.19860758 1
1.1%
36.19977173 1
1.1%
36.20236198 1
1.1%
36.21067007 1
1.1%
36.22646571 1
1.1%
36.23189462 1
1.1%
36.23263293 1
1.1%
36.23446791 1
1.1%
36.23848522 1
1.1%
ValueCountFrequency (%)
36.4941732 1
1.1%
36.49044298 1
1.1%
36.48343927 1
1.1%
36.48188284 1
1.1%
36.46291894 1
1.1%
36.45857655 1
1.1%
36.4514277 1
1.1%
36.44480128 1
1.1%
36.4440419 1
1.1%
36.43847221 1
1.1%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55999
Minimum126.08038
Maximum126.69399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T07:33:28.043582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.08038
5-th percentile126.36264
Q1126.53022
median126.59053
Q3126.6087
95-th percentile126.65596
Maximum126.69399
Range0.6136109
Interquartile range (IQR)0.078487625

Descriptive statistics

Standard deviation0.097514382
Coefficient of variation (CV)0.00077049928
Kurtosis6.8330912
Mean126.55999
Median Absolute Deviation (MAD)0.0362931
Skewness-2.2026517
Sum11643.519
Variance0.0095090547
MonotonicityNot monotonic
2023-12-13T07:33:28.207520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6014661 1
 
1.1%
126.5706656 1
 
1.1%
126.5904764 1
 
1.1%
126.6006772 1
 
1.1%
126.6049566 1
 
1.1%
126.5996184 1
 
1.1%
126.5990896 1
 
1.1%
126.5986121 1
 
1.1%
126.5907002 1
 
1.1%
126.6215115 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
126.080382 1
1.1%
126.2644392 1
1.1%
126.2663226 1
1.1%
126.3376485 1
1.1%
126.356342 1
1.1%
126.3677943 1
1.1%
126.4332195 1
1.1%
126.4354425 1
1.1%
126.439329 1
1.1%
126.4410012 1
1.1%
ValueCountFrequency (%)
126.6939929 1
1.1%
126.6770858 1
1.1%
126.6768961 1
1.1%
126.6730505 1
1.1%
126.6564639 1
1.1%
126.6555553 1
1.1%
126.6542039 1
1.1%
126.6539728 1
1.1%
126.6526835 1
1.1%
126.6509032 1
1.1%

지정분야
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
풍수해+지진
92 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row풍수해+지진
2nd row풍수해+지진
3rd row풍수해+지진
4th row풍수해+지진
5th row풍수해+지진

Common Values

ValueCountFrequency (%)
풍수해+지진 92
100.0%

Length

2023-12-13T07:33:28.327768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:33:28.425434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
풍수해+지진 92
100.0%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct82
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1774.163
Minimum49
Maximum35757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T07:33:28.525989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile60
Q1115.25
median304.5
Q3818.25
95-th percentile3457
Maximum35757
Range35708
Interquartile range (IQR)703

Descriptive statistics

Standard deviation6105.3405
Coefficient of variation (CV)3.4412511
Kurtosis25.387417
Mean1774.163
Median Absolute Deviation (MAD)233.5
Skewness5.1033054
Sum163223
Variance37275183
MonotonicityNot monotonic
2023-12-13T07:33:28.652106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 4
 
4.3%
60 3
 
3.3%
119 2
 
2.2%
132 2
 
2.2%
723 2
 
2.2%
99 2
 
2.2%
50 2
 
2.2%
423 1
 
1.1%
822 1
 
1.1%
648 1
 
1.1%
Other values (72) 72
78.3%
ValueCountFrequency (%)
49 1
 
1.1%
50 2
2.2%
53 1
 
1.1%
60 3
3.3%
65 1
 
1.1%
68 1
 
1.1%
70 4
4.3%
72 1
 
1.1%
86 1
 
1.1%
94 1
 
1.1%
ValueCountFrequency (%)
35757 1
1.1%
34064 1
1.1%
32985 1
1.1%
8614 1
1.1%
3644 1
1.1%
3304 1
1.1%
2992 1
1.1%
2239 1
1.1%
2229 1
1.1%
2223 1
1.1%

수용인원
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265.77174
Minimum20
Maximum3313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T07:33:28.811956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23.3
Q144.75
median106
Q3307.25
95-th percentile858.8
Maximum3313
Range3293
Interquartile range (IQR)262.5

Descriptive statistics

Standard deviation431.90778
Coefficient of variation (CV)1.625108
Kurtosis27.315737
Mean265.77174
Median Absolute Deviation (MAD)74.5
Skewness4.4641069
Sum24451
Variance186544.33
MonotonicityNot monotonic
2023-12-13T07:33:28.956320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 5
 
5.4%
30 4
 
4.3%
40 3
 
3.3%
45 3
 
3.3%
50 3
 
3.3%
41 2
 
2.2%
36 2
 
2.2%
72 2
 
2.2%
38 2
 
2.2%
63 2
 
2.2%
Other values (60) 64
69.6%
ValueCountFrequency (%)
20 5
5.4%
26 1
 
1.1%
30 4
4.3%
33 1
 
1.1%
36 2
 
2.2%
38 2
 
2.2%
40 3
3.3%
41 2
 
2.2%
42 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
3313 1
1.1%
1401 1
1.1%
1270 1
1.1%
1150 1
1.1%
861 1
1.1%
857 1
1.1%
855 1
1.1%
761 1
1.1%
757 1
1.1%
635 1
1.1%

연락처
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
041-930-3362
76 
041-932-3362
 
3
041-939-5703
 
1
041-936-6403
 
1
041-932-3696
 
1
Other values (10)
10 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique13 ?
Unique (%)14.1%

Sample

1st row041-930-3362
2nd row041-939-5703
3rd row041-930-3362
4th row041-930-3362
5th row041-930-3362

Common Values

ValueCountFrequency (%)
041-930-3362 76
82.6%
041-932-3362 3
 
3.3%
041-939-5703 1
 
1.1%
041-936-6403 1
 
1.1%
041-932-3696 1
 
1.1%
041-932-6457 1
 
1.1%
041-935-0783 1
 
1.1%
041-936-2242 1
 
1.1%
041-936-0698 1
 
1.1%
041-931-8882 1
 
1.1%
Other values (5) 5
 
5.4%

Length

2023-12-13T07:33:29.079036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
041-930-3362 76
82.6%
041-932-3362 3
 
3.3%
041-939-5703 1
 
1.1%
041-936-6403 1
 
1.1%
041-932-3696 1
 
1.1%
041-932-6457 1
 
1.1%
041-935-0783 1
 
1.1%
041-936-2242 1
 
1.1%
041-936-0698 1
 
1.1%
041-931-8882 1
 
1.1%
Other values (5) 5
 
5.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2023-05-23 00:00:00
Maximum2023-05-23 00:00:00
2023-12-13T07:33:29.169103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:29.259021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:33:23.920796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.286314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.708731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.098631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.509183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.989116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.367389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.788311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.165723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.620967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:24.070425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.457208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.866890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.251869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.707371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:24.159669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.558099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.946423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.330939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.780040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:24.233736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:22.630594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.022516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.431427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:33:23.850452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:33:29.339313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동시설구분시설명도로명주소지번주소위도경도면적수용인원연락처
연번1.0000.9600.4481.0001.0001.0000.8970.7160.0000.0000.443
읍면동0.9601.0000.3341.0001.0001.0000.9040.6390.6070.5810.000
시설구분0.4480.3341.0001.0001.0001.0000.4820.3970.3900.2370.785
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9371.000
위도0.8970.9040.4821.0001.0001.0001.0000.6350.0000.0000.418
경도0.7160.6390.3971.0001.0001.0000.6351.0000.0000.0000.865
면적0.0000.6070.3901.0001.0001.0000.0000.0001.0000.9310.683
수용인원0.0000.5810.2371.0001.0000.9370.0000.0000.9311.0000.000
연락처0.4430.0000.7851.0001.0001.0000.4180.8650.6830.0001.000
2023-12-13T07:33:29.449461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연락처읍면동시설구분
연락처1.0000.0000.429
읍면동0.0001.0000.146
시설구분0.4290.1461.000
2023-12-13T07:33:29.549185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도면적수용인원읍면동시설구분연락처
연번1.000-0.2520.2900.3670.3470.7370.1930.171
위도-0.2521.000-0.310-0.220-0.2150.5830.2110.158
경도0.290-0.3101.0000.4050.3890.2800.2350.564
면적0.367-0.2200.4051.0000.9800.3330.3250.432
수용인원0.347-0.2150.3890.9801.0000.2740.1600.000
읍면동0.7370.5830.2800.3330.2741.0000.1460.000
시설구분0.1930.2110.2350.3250.1600.1461.0000.429
연락처0.1710.1580.5640.4320.0000.0000.4291.000

Missing values

2023-12-13T07:33:24.348782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:33:24.512541image/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

연번읍면동시설구분시설명도로명주소지번주소위도경도지정분야면적수용인원연락처데이터기준일자
01웅천읍기타시설웅천복지회관충청남도 보령시 웅천읍 장터2길 15충청남도 보령시 웅천읍 대창리 436-736.232633126.601466풍수해+지진423162041-930-33622023-05-23
12웅천읍연수+숙박비체팰리스충청남도 보령시 웅천읍 열린바다1길 78충청남도 보령시 웅천읍 독산리 784-136.239224126.531306풍수해+지진34064474041-939-57032023-05-23
23웅천읍학교관당초등학교충청남도 보령시 웅천읍 무창포로 309충청남도 보령시 웅천읍 죽청리 121-436.246246126.557952풍수해+지진330126041-930-33622023-05-23
34웅천읍학교대창초등학교충청남도 보령시 웅천읍 방축길 90-43충청남도 보령시 웅천읍 대창리 18136.231895126.606021풍수해+지진722277041-930-33622023-05-23
45웅천읍학교웅천중고등학교충청남도 보령시 웅천읍 방축길 87충청남도 보령시 웅천읍 대창리 449-136.234468126.604145풍수해+지진2223855041-930-33622023-05-23
56웅천읍학교웅천초등학교충청남도 보령시 웅천읍 충서로 1035충청남도 보령시 웅천읍 대천리 13036.239888126.59232풍수해+지진418160041-930-33622023-05-23
67주포면마을회관도청 마을회관충청남도 보령시 주포면 충서로 3294-7충청남도 보령시 주포면 관산리 332-336.403108126.571625풍수해+지진6826041-930-33622023-05-23
78주포면마을회관보령1리마을회관충청남도 보령시 주포면 보령읍성길 86충청남도 보령시 주포면 보령리 172-336.415517126.589675풍수해+지진13250041-930-33622023-05-23
89주포면학교보령중학교충청남도 보령시 주포면 보령읍성길 87-37충청남도 보령시 주포면 보령리 산 6-736.417061126.590593풍수해+지진1051404041-930-33622023-05-23
910주포면학교주포초등학교충청남도 보령시 주포면 보령읍성길 87-22충청남도 보령시 주포면 보령리 산 6-736.416036126.590774풍수해+지진723278041-930-33622023-05-23
연번읍면동시설구분시설명도로명주소지번주소위도경도지정분야면적수용인원연락처데이터기준일자
8283명천동학교명천초등학교충청남도 보령시 주공로 119충청남도 보령시 명천동 325-136.338783126.611296풍수해+지진962370041-930-33622023-05-23
8384명천동학교한내초등학교충청남도 보령시 보령남로 39충청남도 보령시 명천동 43136.342187126.60124풍수해+지진1042400041-930-33622023-05-23
8485신흑동경로당신흑7통 경로당충청남도 보령시 대천항로 370충청남도 보령시 신흑동 2240-736.326609126.506107풍수해+지진484186041-930-33622023-05-23
8586요암동경로당요암3통 경로당충청남도 보령시 뒷골길 21-67충청남도 보령시 요암동 504-236.320871126.553318풍수해+지진18972041-930-33622023-05-23
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8788신흑동연수+숙박한화리조트충청남도 보령시 해수욕장3길 11-10충청남도 보령시 신흑동 201736.305516126.519821풍수해+지진35757600041-930-85212023-05-23
8889내항동학교대천여자상업고등학교충청남도 보령시 여상길 60충청남도 보령시 내항동 50236.332157126.579488풍수해+지진426163041-930-33622023-05-23
8990신흑동학교청룡초등학교충청남도 보령시 대해로 646충청남도 보령시 신흑동 35036.319867126.538195풍수해+지진663255041-930-33622023-05-23
9091신흑동학교청파초등학교충청남도 보령시 대천항로 235충청남도 보령시 신흑동 83536.318047126.511587풍수해+지진723278041-930-33622023-05-23
9192신흑동학교충남해양과학고등학교충청남도 보령시 대천항로 212충청남도 보령시 신흑동 898-236.318493126.51412풍수해+지진33041270041-930-33622023-05-23