Overview

Dataset statistics

Number of variables14
Number of observations58
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory117.3 B

Variable types

Numeric3
Categorical7
Text2
DateTime2

Dataset

Description보령시에 설치된 폭염저감시설(그늘막) 현황 데이터를 제공합니다. 그늘막 종류, 설치장소명, 설치위치 도로명 주소, 설치위치 지번 주소, 경도, 위도, 설치일시, 관리기관, 연락처, 데이터기준일로 구성되어있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=99&beforeMenuCd=DOM_000000201001001000&publicdatapk=15103567

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
관리기관 has constant value ""Constant
연락처 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 읍면동(행정동)High correlation
종류 is highly overall correlated with 연번High correlation
읍면동(행정동) is highly overall correlated with 위도 and 1 other fieldsHigh correlation
설치위치 도로명주소 is highly imbalanced (65.9%)Imbalance
설치장소명 has 2 (3.4%) missing valuesMissing
연번 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:43:57.519904
Analysis finished2024-01-09 21:43:58.725233
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-10T06:43:58.781821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2024-01-10T06:43:58.886042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
그늘막(스마트형)
36 
그늘막(고정형)
22 

Length

Max length9
Median length9
Mean length8.6206897
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row그늘막(스마트형)
2nd row그늘막(고정형)
3rd row그늘막(스마트형)
4th row그늘막(스마트형)
5th row그늘막(고정형)

Common Values

ValueCountFrequency (%)
그늘막(스마트형) 36
62.1%
그늘막(고정형) 22
37.9%

Length

2024-01-10T06:43:58.987180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:43:59.062302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그늘막(스마트형 36
62.1%
그늘막(고정형 22
37.9%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
충청남도
58 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 58
100.0%

Length

2024-01-10T06:43:59.137474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:43:59.205328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 58
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
보령시
58 

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 58
100.0%

Length

2024-01-10T06:43:59.297804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:43:59.388391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 58
100.0%

읍면동(행정동)
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size596.0 B
대천3동
23 
대천5동
13 
대천4동
12 
대천1동
4 
대천2동
 
2
Other values (4)
4 

Length

Max length4
Median length4
Mean length3.9310345
Min length3

Unique

Unique4 ?
Unique (%)6.9%

Sample

1st row웅천읍
2nd row주포면
3rd row천북면
4th row주교면
5th row대천1동

Common Values

ValueCountFrequency (%)
대천3동 23
39.7%
대천5동 13
22.4%
대천4동 12
20.7%
대천1동 4
 
6.9%
대천2동 2
 
3.4%
웅천읍 1
 
1.7%
주포면 1
 
1.7%
천북면 1
 
1.7%
주교면 1
 
1.7%

Length

2024-01-10T06:43:59.487916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:43:59.601507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대천3동 23
39.7%
대천5동 13
22.4%
대천4동 12
20.7%
대천1동 4
 
6.9%
대천2동 2
 
3.4%
웅천읍 1
 
1.7%
주포면 1
 
1.7%
천북면 1
 
1.7%
주교면 1
 
1.7%

설치장소명
Text

MISSING 

Distinct55
Distinct (%)98.2%
Missing2
Missing (%)3.4%
Memory size596.0 B
2024-01-10T06:43:59.836762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length13.357143
Min length5

Characters and Unicode

Total characters748
Distinct characters153
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row웅천외과 옆 사거리
2nd row주포사거리
3rd row천북 굴단지 입구 - 좌측
4th row신평사거리
5th row죽정사거리 도원
ValueCountFrequency (%)
앞 15
 
9.2%
주변 14
 
8.6%
사거리 12
 
7.4%
아파트 5
 
3.1%
옆 5
 
3.1%
건너편 4
 
2.5%
방향 4
 
2.5%
1 4
 
2.5%
2 3
 
1.8%
입구 3
 
1.8%
Other values (72) 94
57.7%
2024-01-10T06:44:00.171442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
15.0%
리 35
 
4.7%
거 32
 
4.3%
사 31
 
4.1%
주 22
 
2.9%
대 20
 
2.7%
천 17
 
2.3%
트 16
 
2.1%
아 16
 
2.1%
교 16
 
2.1%
Other values (143) 431
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
79.4%
Space Separator 112
 
15.0%
Decimal Number 13
 
1.7%
Open Punctuation 10
 
1.3%
Close Punctuation 10
 
1.3%
Dash Punctuation 4
 
0.5%
Other Punctuation 3
 
0.4%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 35
 
5.9%
거 32
 
5.4%
사 31
 
5.2%
주 22
 
3.7%
대 20
 
3.4%
천 17
 
2.9%
트 16
 
2.7%
아 16
 
2.7%
교 16
 
2.7%
앞 16
 
2.7%
Other values (132) 373
62.8%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
2 5
38.5%
4 2
 
15.4%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
, 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 594
79.4%
Common 152
 
20.3%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 35
 
5.9%
거 32
 
5.4%
사 31
 
5.2%
주 22
 
3.7%
대 20
 
3.4%
천 17
 
2.9%
트 16
 
2.7%
아 16
 
2.7%
교 16
 
2.7%
앞 16
 
2.7%
Other values (132) 373
62.8%
Common
ValueCountFrequency (%)
112
73.7%
( 10
 
6.6%
) 10
 
6.6%
1 6
 
3.9%
2 5
 
3.3%
- 4
 
2.6%
· 2
 
1.3%
4 2
 
1.3%
, 1
 
0.7%
Latin
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
79.4%
ASCII 152
 
20.3%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
73.7%
( 10
 
6.6%
) 10
 
6.6%
1 6
 
3.9%
2 5
 
3.3%
- 4
 
2.6%
4 2
 
1.3%
L 1
 
0.7%
G 1
 
0.7%
, 1
 
0.7%
Hangul
ValueCountFrequency (%)
리 35
 
5.9%
거 32
 
5.4%
사 31
 
5.2%
주 22
 
3.7%
대 20
 
3.4%
천 17
 
2.9%
트 16
 
2.7%
아 16
 
2.7%
교 16
 
2.7%
앞 16
 
2.7%
Other values (132) 373
62.8%
None
ValueCountFrequency (%)
· 2
100.0%

설치위치 도로명주소
Categorical

IMBALANCE 

Distinct9
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size596.0 B
49 
충청남도 보령시 대해로 882 (신흑동)
 
2
충청남도 보령시 천북면 홍보로 1061-27
 
1
충청남도 보령시 대천로 136 (죽정동)
 
1
충청남도 보령시 천변북길 119 (대천동)
 
1
Other values (4)
 
4

Length

Max length44
Median length1
Mean length4.8965517
Min length1

Unique

Unique7 ?
Unique (%)12.1%

Sample

1st row
2nd row
3rd row충청남도 보령시 천북면 홍보로 1061-27
4th row
5th row

Common Values

ValueCountFrequency (%)
49
84.5%
충청남도 보령시 대해로 882 (신흑동) 2
 
3.4%
충청남도 보령시 천북면 홍보로 1061-27 1
 
1.7%
충청남도 보령시 대천로 136 (죽정동) 1
 
1.7%
충청남도 보령시 천변북길 119 (대천동) 1
 
1.7%
충청남도 보령시 대흥로 63 (대천동) 1
 
1.7%
충청남도 보령시 한내로터리길 165 (동대동, 동대 센트럴파크 새미래 에뜨젠) 1
 
1.7%
충청남도 보령시 대천항중앙길 30 (신흑동) 1
 
1.7%
충청남도 보령시 대천항중앙길 46 (신흑동) 1
 
1.7%

Length

2024-01-10T06:44:00.277082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:00.360078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 9
18.4%
보령시 9
18.4%
신흑동 4
 
8.2%
대천항중앙길 2
 
4.1%
대천동 2
 
4.1%
대해로 2
 
4.1%
882 2
 
4.1%
천북면 1
 
2.0%
한내로터리길 1
 
2.0%
30 1
 
2.0%
Other values (16) 16
32.7%

설치위치 지번주소
Text

Distinct43
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:44:00.535876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length18.62069
Min length17

Characters and Unicode

Total characters1080
Distinct characters44
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

Unique36 ?
Unique (%)62.1%

Sample

1st row충청남도 보령시 웅천읍 대창리 727-27
2nd row충청남도 보령시 주포면 보령리 401-6
3rd row충청남도 보령시 천북면 장은리 1070
4th row충청남도 보령시 주교면 주교리 243-4
5th row충청남도 보령시 대천동 127-6
ValueCountFrequency (%)
충청남도 58
24.6%
보령시 58
24.6%
명천동 17
 
7.2%
동대동 12
 
5.1%
신흑동 10
 
4.2%
궁촌동 6
 
2.5%
2309 5
 
2.1%
대천동 4
 
1.7%
360 4
 
1.7%
1958 3
 
1.3%
Other values (51) 59
25.0%
2024-01-10T06:44:00.825575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
21.9%
동 66
 
6.1%
보 59
 
5.5%
령 59
 
5.5%
충 58
 
5.4%
남 58
 
5.4%
도 58
 
5.4%
시 58
 
5.4%
청 58
 
5.4%
1 45
 
4.2%
Other values (34) 325
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 592
54.8%
Space Separator 236
 
21.9%
Decimal Number 232
 
21.5%
Dash Punctuation 20
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
11.1%
보 59
10.0%
령 59
10.0%
충 58
9.8%
남 58
9.8%
도 58
9.8%
시 58
9.8%
청 58
9.8%
천 23
 
3.9%
대 17
 
2.9%
Other values (22) 78
13.2%
Decimal Number
ValueCountFrequency (%)
1 45
19.4%
3 35
15.1%
2 30
12.9%
0 27
11.6%
9 22
9.5%
4 20
8.6%
7 15
 
6.5%
5 14
 
6.0%
6 13
 
5.6%
8 11
 
4.7%
Space Separator
ValueCountFrequency (%)
236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 592
54.8%
Common 488
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
11.1%
보 59
10.0%
령 59
10.0%
충 58
9.8%
남 58
9.8%
도 58
9.8%
시 58
9.8%
청 58
9.8%
천 23
 
3.9%
대 17
 
2.9%
Other values (22) 78
13.2%
Common
ValueCountFrequency (%)
236
48.4%
1 45
 
9.2%
3 35
 
7.2%
2 30
 
6.1%
0 27
 
5.5%
9 22
 
4.5%
- 20
 
4.1%
4 20
 
4.1%
7 15
 
3.1%
5 14
 
2.9%
Other values (2) 24
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 592
54.8%
ASCII 488
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
48.4%
1 45
 
9.2%
3 35
 
7.2%
2 30
 
6.1%
0 27
 
5.5%
9 22
 
4.5%
- 20
 
4.1%
4 20
 
4.1%
7 15
 
3.1%
5 14
 
2.9%
Other values (2) 24
 
4.9%
Hangul
ValueCountFrequency (%)
동 66
11.1%
보 59
10.0%
령 59
10.0%
충 58
9.8%
남 58
9.8%
도 58
9.8%
시 58
9.8%
청 58
9.8%
천 23
 
3.9%
대 17
 
2.9%
Other values (22) 78
13.2%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.343207
Minimum36.233049
Maximum36.507857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-10T06:44:00.939956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.233049
5-th percentile36.314157
Q136.337517
median36.343469
Q336.350613
95-th percentile36.362515
Maximum36.507857
Range0.2748081
Interquartile range (IQR)0.013095925

Descriptive statistics

Standard deviation0.03128479
Coefficient of variation (CV)0.00086081534
Kurtosis15.605597
Mean36.343207
Median Absolute Deviation (MAD)0.00635565
Skewness2.0336976
Sum2107.906
Variance0.00097873807
MonotonicityNot monotonic
2024-01-10T06:44:01.045990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.2330491 1
 
1.7%
36.3433766 1
 
1.7%
36.3404614 1
 
1.7%
36.3447628 1
 
1.7%
36.3451838 1
 
1.7%
36.3455718 1
 
1.7%
36.3458477 1
 
1.7%
36.3435614 1
 
1.7%
36.3437421 1
 
1.7%
36.335944 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
36.2330491 1
1.7%
36.3062558 1
1.7%
36.3064069 1
1.7%
36.3155248 1
1.7%
36.31727 1
1.7%
36.3173237 1
1.7%
36.3174944 1
1.7%
36.3180755 1
1.7%
36.3229169 1
1.7%
36.3268816 1
1.7%
ValueCountFrequency (%)
36.5078572 1
1.7%
36.4164452 1
1.7%
36.390391 1
1.7%
36.3575958 1
1.7%
36.3572628 1
1.7%
36.3533766 1
1.7%
36.3528106 1
1.7%
36.352518 1
1.7%
36.3523322 1
1.7%
36.3520478 1
1.7%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.58342
Minimum126.48538
Maximum126.61691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-10T06:44:01.157345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.48538
5-th percentile126.51115
Q1126.57989
median126.60042
Q3126.60781
95-th percentile126.61507
Maximum126.61691
Range0.1315368
Interquartile range (IQR)0.0279242

Descriptive statistics

Standard deviation0.037467274
Coefficient of variation (CV)0.0002959888
Kurtosis0.33574361
Mean126.58342
Median Absolute Deviation (MAD)0.0093781
Skewness-1.3668478
Sum7341.8381
Variance0.0014037966
MonotonicityNot monotonic
2024-01-10T06:44:01.268717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5986731 1
 
1.7%
126.5886854 1
 
1.7%
126.6086478 1
 
1.7%
126.5995897 1
 
1.7%
126.5994591 1
 
1.7%
126.6018911 1
 
1.7%
126.6012659 1
 
1.7%
126.5905596 1
 
1.7%
126.5909348 1
 
1.7%
126.606551 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
126.4853755 1
1.7%
126.5092101 1
1.7%
126.5095668 1
1.7%
126.5114238 1
1.7%
126.5114507 1
1.7%
126.5128073 1
1.7%
126.5128832 1
1.7%
126.5131912 1
1.7%
126.5136735 1
1.7%
126.5180346 1
1.7%
ValueCountFrequency (%)
126.6169123 1
1.7%
126.6165135 1
1.7%
126.6162797 1
1.7%
126.6148572 1
1.7%
126.6147714 1
1.7%
126.613492 1
1.7%
126.6104917 1
1.7%
126.6094833 1
1.7%
126.6090265 1
1.7%
126.6086509 1
1.7%

설치일시
Date

Distinct8
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2017-08-22 00:00:00
Maximum2021-10-28 00:00:00
2024-01-10T06:44:01.361052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:01.446811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
보령시청 안전총괄과
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보령시청 안전총괄과
2nd row보령시청 안전총괄과
3rd row보령시청 안전총괄과
4th row보령시청 안전총괄과
5th row보령시청 안전총괄과

Common Values

ValueCountFrequency (%)
보령시청 안전총괄과 58
100.0%

Length

2024-01-10T06:44:01.539088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:01.606755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시청 58
50.0%
안전총괄과 58
50.0%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
041-930-3272
58 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-930-3272
2nd row041-930-3272
3rd row041-930-3272
4th row041-930-3272
5th row041-930-3272

Common Values

ValueCountFrequency (%)
041-930-3272 58
100.0%

Length

2024-01-10T06:44:01.681429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:01.754330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-930-3272 58
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2024-01-10T06:44:01.820512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:01.911501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:43:58.290973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:57.896910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:58.091769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:58.362616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:57.959829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:58.154121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:58.429071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:58.021655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:58.219659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:44:01.989315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류읍면동(행정동)설치장소명설치위치 도로명주소설치위치 지번주소위도경도설치일시
연번1.0000.7820.7831.0000.3050.8980.5680.6410.706
종류0.7821.0000.2901.0000.1810.5790.3030.3231.000
읍면동(행정동)0.7830.2901.0001.0000.8290.9980.9300.8620.435
설치장소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
설치위치 도로명주소0.3050.1810.8291.0001.0001.0000.7280.6770.751
설치위치 지번주소0.8980.5790.9981.0001.0001.0000.9980.9690.857
위도0.5680.3030.9301.0000.7280.9981.0000.8180.000
경도0.6410.3230.8621.0000.6770.9690.8181.0000.555
설치일시0.7061.0000.4351.0000.7510.8570.0000.5551.000
2024-01-10T06:44:02.103551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동(행정동)설치위치 도로명주소종류
읍면동(행정동)1.0000.4040.267
설치위치 도로명주소0.4041.0000.162
종류0.2670.1621.000
2024-01-10T06:44:02.171841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도종류읍면동(행정동)설치위치 도로명주소
연번1.000-0.766-0.4830.5700.4990.131
위도-0.7661.0000.3980.3060.8200.488
경도-0.4830.3981.0000.2240.6470.409
종류0.5700.3060.2241.0000.2670.162
읍면동(행정동)0.4990.8200.6470.2671.0000.404
설치위치 도로명주소0.1310.4880.4090.1620.4041.000

Missing values

2024-01-10T06:43:58.531897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:43:58.669371image/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

연번종류시도시군구읍면동(행정동)설치장소명설치위치 도로명주소설치위치 지번주소위도경도설치일시관리기관연락처데이터기준일
01그늘막(스마트형)충청남도보령시웅천읍웅천외과 옆 사거리충청남도 보령시 웅천읍 대창리 727-2736.233049126.5986732021-06-04보령시청 안전총괄과041-930-32722023-08-24
12그늘막(고정형)충청남도보령시주포면주포사거리충청남도 보령시 주포면 보령리 401-636.416445126.5847952019-07-12보령시청 안전총괄과041-930-32722023-08-24
23그늘막(스마트형)충청남도보령시천북면천북 굴단지 입구 - 좌측충청남도 보령시 천북면 홍보로 1061-27충청남도 보령시 천북면 장은리 107036.507857126.4853762021-06-04보령시청 안전총괄과041-930-32722023-08-24
34그늘막(스마트형)충청남도보령시주교면<NA>충청남도 보령시 주교면 주교리 243-436.390391126.5688192021-06-04보령시청 안전총괄과041-930-32722023-08-24
45그늘막(고정형)충청남도보령시대천1동신평사거리충청남도 보령시 대천동 127-636.352332126.598052018-08-15보령시청 안전총괄과041-930-32722023-08-24
56그늘막(고정형)충청남도보령시대천1동죽정사거리 도원충청남도 보령시 죽정동 437-536.357596126.6062252019-07-12보령시청 안전총괄과041-930-32722023-08-24
67그늘막(고정형)충청남도보령시대천1동대천체육관충청남도 보령시 대천로 136 (죽정동)충청남도 보령시 죽정동 432-1736.357263126.6062542019-07-12보령시청 안전총괄과041-930-32722023-08-24
78그늘막(스마트형)충청남도보령시대천1동<NA>충청남도 보령시 천변북길 119 (대천동)충청남도 보령시 대천동 618-21336.350773126.600792021-10-28보령시청 안전총괄과041-930-32722023-08-24
89그늘막(고정형)충청남도보령시대천2동문화의 전당 앞 사거리충청남도 보령시 대흥로 63 (대천동)충청남도 보령시 대천동 340-236.351211126.5866752018-08-15보령시청 안전총괄과041-930-32722023-08-24
910그늘막(스마트형)충청남도보령시대천2동문화의전당 사거리(롯데리아 건너편)충청남도 보령시 대천동 35736.350134126.5919072021-06-04보령시청 안전총괄과041-930-32722023-08-24
연번종류시도시군구읍면동(행정동)설치장소명설치위치 도로명주소설치위치 지번주소위도경도설치일시관리기관연락처데이터기준일
4849그늘막(고정형)충청남도보령시대천5동시민탑광장 진입교차로충청남도 보령시 대해로 882 (신흑동)충청남도 보령시 신흑동 195136.306256126.5180352019-07-12보령시청 안전총괄과041-930-32722023-08-24
4950그늘막(고정형)충청남도보령시대천5동시민탑광장 진입교차로충청남도 보령시 대해로 882 (신흑동)충청남도 보령시 신흑동 195136.306407126.5182492019-07-12보령시청 안전총괄과041-930-32722023-08-24
5051그늘막(고정형)충청남도보령시대천5동대천여자상업고등학교 1충청남도 보령시 내항동 403-236.337423126.5782542019-07-12보령시청 안전총괄과041-930-32722023-08-24
5152그늘막(고정형)충청남도보령시대천5동대천여자상업고등학교 2충청남도 보령시 내항동 570-836.337576126.5779262019-07-12보령시청 안전총괄과041-930-32722023-08-24
5253그늘막(스마트형)충청남도보령시대천5동시영아파트 입구 버스정류장충청남도 보령시 신흑동 223536.322917126.509212021-06-04보령시청 안전총괄과041-930-32722023-08-24
5354그늘막(스마트형)충청남도보령시대천5동충남해양과학고등학교 주변 삼거리 - 좌측충청남도 보령시 신흑동 230936.317494126.5128832021-06-04보령시청 안전총괄과041-930-32722023-08-24
5455그늘막(스마트형)충청남도보령시대천5동충남해양과학고등학교 주변 삼거리 - 우측충청남도 보령시 신흑동 230936.318075126.5128072021-06-04보령시청 안전총괄과041-930-32722023-08-24
5556그늘막(스마트형)충청남도보령시대천5동대천농공단지 입구 건너편충청남도 보령시 요암동 79-136.328028126.5591472021-06-04보령시청 안전총괄과041-930-32722023-08-24
5657그늘막(스마트형)충청남도보령시대천5동대천항여객선터미널충청남도 보령시 대천항중앙길 30 (신흑동)충청남도 보령시 신흑동 224136.326945126.5114242021-07-01보령시청 안전총괄과041-930-32722023-08-24
5758그늘막(스마트형)충청남도보령시대천5동대천해상유람선(주) 앞충청남도 보령시 대천항중앙길 46 (신흑동)충청남도 보령시 신흑동 2240-1236.326882126.5095672021-07-01보령시청 안전총괄과041-930-32722023-08-24