Overview

Dataset statistics

Number of variables12
Number of observations74
Missing cells9
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory101.8 B

Variable types

Text3
Categorical5
Numeric3
DateTime1

Dataset

Description춘천시에서 운영중인 지정게시대에 대한 게시대 명칭, 유형, 지번주소, 도로명주소, 위도, 경도, 설치장소설명, 기수, 설치가능 매수, 담당부서, 연락처, 데이터기준일에 대한 자료
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15095358/fileData.do

Alerts

담당부서 has constant value ""Constant
연락처 has constant value ""Constant
데이터기준일 has constant value ""Constant
설치가능 매수 is highly overall correlated with 유형 and 1 other fieldsHigh correlation
유형 is highly overall correlated with 설치가능 매수High correlation
기수 is highly overall correlated with 설치가능 매수High correlation
위도 has 1 (1.4%) missing valuesMissing
경도 has 1 (1.4%) missing valuesMissing
설치장소설명 has 7 (9.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:00:11.301369
Analysis finished2023-12-12 16:00:13.138928
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시대 명칭
Text

Distinct72
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-13T01:00:13.278027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.6351351
Min length2

Characters and Unicode

Total characters565
Distinct characters171
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)94.6%

Sample

1st row철새도래지공원삼거리
2nd row하이테크벤처타운
3rd row장학한마음교회사거리
4th row장학아이파크사거리
5th row온누리교회밑사거리
ValueCountFrequency (%)
앞 7
 
6.7%
삼거리 3
 
2.9%
남춘천역 2
 
1.9%
삼성홈플러스 2
 
1.9%
정문앞 2
 
1.9%
애막골 2
 
1.9%
소양2교 2
 
1.9%
로타리 2
 
1.9%
퇴계한주아파트 1
 
1.0%
철새도래지공원삼거리 1
 
1.0%
Other values (81) 81
77.1%
2023-12-13T01:00:13.594004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 33
 
5.8%
31
 
5.5%
거 26
 
4.6%
사 24
 
4.2%
교 16
 
2.8%
앞 14
 
2.5%
장 14
 
2.5%
트 12
 
2.1%
삼 10
 
1.8%
아 8
 
1.4%
Other values (161) 377
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 508
89.9%
Space Separator 31
 
5.5%
Open Punctuation 8
 
1.4%
Close Punctuation 8
 
1.4%
Decimal Number 5
 
0.9%
Uppercase Letter 4
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 33
 
6.5%
거 26
 
5.1%
사 24
 
4.7%
교 16
 
3.1%
앞 14
 
2.8%
장 14
 
2.8%
트 12
 
2.4%
삼 10
 
2.0%
아 8
 
1.6%
천 8
 
1.6%
Other values (150) 343
67.5%
Uppercase Letter
ValueCountFrequency (%)
I 1
25.0%
M 1
25.0%
S 1
25.0%
C 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
8 1
 
20.0%
3 1
 
20.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 508
89.9%
Common 53
 
9.4%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 33
 
6.5%
거 26
 
5.1%
사 24
 
4.7%
교 16
 
3.1%
앞 14
 
2.8%
장 14
 
2.8%
트 12
 
2.4%
삼 10
 
2.0%
아 8
 
1.6%
천 8
 
1.6%
Other values (150) 343
67.5%
Common
ValueCountFrequency (%)
31
58.5%
( 8
 
15.1%
) 8
 
15.1%
2 3
 
5.7%
/ 1
 
1.9%
8 1
 
1.9%
3 1
 
1.9%
Latin
ValueCountFrequency (%)
I 1
25.0%
M 1
25.0%
S 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 508
89.9%
ASCII 57
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 33
 
6.5%
거 26
 
5.1%
사 24
 
4.7%
교 16
 
3.1%
앞 14
 
2.8%
장 14
 
2.8%
트 12
 
2.4%
삼 10
 
2.0%
아 8
 
1.6%
천 8
 
1.6%
Other values (150) 343
67.5%
ASCII
ValueCountFrequency (%)
31
54.4%
( 8
 
14.0%
) 8
 
14.0%
2 3
 
5.3%
I 1
 
1.8%
M 1
 
1.8%
S 1
 
1.8%
C 1
 
1.8%
/ 1
 
1.8%
8 1
 
1.8%

유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
6단형
42 
2단형
31 
1단형
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row6단형
2nd row6단형
3rd row6단형
4th row6단형
5th row6단형

Common Values

ValueCountFrequency (%)
6단형 42
56.8%
2단형 31
41.9%
1단형 1
 
1.4%

Length

2023-12-13T01:00:13.709488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:13.809976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6단형 42
56.8%
2단형 31
41.9%
1단형 1
 
1.4%

지번주소
Text

Distinct72
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-13T01:00:14.057716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.351351
Min length15

Characters and Unicode

Total characters1654
Distinct characters67
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

Unique70 ?
Unique (%)94.6%

Sample

1st row강원특별자치도 춘천시 동면 장학리 791-167
2nd row강원특별자치도 춘천시 후평동 718-1
3rd row강원특별자치도 춘천시 동면 장학리 986
4th row강원특별자치도 춘천시 동면 장학리 884
5th row강원특별자치도 춘천시 동면 만천리 478-2
ValueCountFrequency (%)
강원특별자치도 74
23.8%
춘천시 74
23.8%
석사동 15
 
4.8%
퇴계동 11
 
3.5%
동면 8
 
2.6%
근화동 6
 
1.9%
후평동 5
 
1.6%
장학리 5
 
1.6%
동내면 4
 
1.3%
신북읍 3
 
1.0%
Other values (90) 106
34.1%
2023-12-13T01:00:14.448319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
298
18.0%
천 80
 
4.8%
자 78
 
4.7%
강 74
 
4.5%
시 74
 
4.5%
춘 74
 
4.5%
원 74
 
4.5%
도 74
 
4.5%
별 74
 
4.5%
특 74
 
4.5%
Other values (57) 680
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1012
61.2%
Space Separator 298
 
18.0%
Decimal Number 292
 
17.7%
Dash Punctuation 52
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 80
 
7.9%
자 78
 
7.7%
강 74
 
7.3%
시 74
 
7.3%
춘 74
 
7.3%
원 74
 
7.3%
도 74
 
7.3%
별 74
 
7.3%
특 74
 
7.3%
치 74
 
7.3%
Other values (45) 262
25.9%
Decimal Number
ValueCountFrequency (%)
1 47
16.1%
7 33
11.3%
6 32
11.0%
3 32
11.0%
2 29
9.9%
8 28
9.6%
5 28
9.6%
9 25
8.6%
4 24
8.2%
0 14
 
4.8%
Space Separator
ValueCountFrequency (%)
298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1012
61.2%
Common 642
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 80
 
7.9%
자 78
 
7.7%
강 74
 
7.3%
시 74
 
7.3%
춘 74
 
7.3%
원 74
 
7.3%
도 74
 
7.3%
별 74
 
7.3%
특 74
 
7.3%
치 74
 
7.3%
Other values (45) 262
25.9%
Common
ValueCountFrequency (%)
298
46.4%
- 52
 
8.1%
1 47
 
7.3%
7 33
 
5.1%
6 32
 
5.0%
3 32
 
5.0%
2 29
 
4.5%
8 28
 
4.4%
5 28
 
4.4%
9 25
 
3.9%
Other values (2) 38
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1012
61.2%
ASCII 642
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
298
46.4%
- 52
 
8.1%
1 47
 
7.3%
7 33
 
5.1%
6 32
 
5.0%
3 32
 
5.0%
2 29
 
4.5%
8 28
 
4.4%
5 28
 
4.4%
9 25
 
3.9%
Other values (2) 38
 
5.9%
Hangul
ValueCountFrequency (%)
천 80
 
7.9%
자 78
 
7.7%
강 74
 
7.3%
시 74
 
7.3%
춘 74
 
7.3%
원 74
 
7.3%
도 74
 
7.3%
별 74
 
7.3%
특 74
 
7.3%
치 74
 
7.3%
Other values (45) 262
25.9%

도로명주소
Categorical

Distinct20
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
49 
<NA>
7 
강원특별자치도 춘천시 동내면 춘천순환로 171, (거두리)
 
1
강원특별자치도 춘천시 동내면 춘천순환로 156, (거두리)
 
1
강원특별자치도 춘천시 백령로 93, (효자동)
 
1
Other values (15)
15 

Length

Max length32
Median length1
Mean length7.2972973
Min length1

Unique

Unique18 ?
Unique (%)24.3%

Sample

1st row
2nd row
3rd row강원특별자치도 춘천시 동면 소양강로 110, (장학리)
4th row
5th row

Common Values

ValueCountFrequency (%)
49
66.2%
<NA> 7
 
9.5%
강원특별자치도 춘천시 동내면 춘천순환로 171, (거두리) 1
 
1.4%
강원특별자치도 춘천시 동내면 춘천순환로 156, (거두리) 1
 
1.4%
강원특별자치도 춘천시 백령로 93, (효자동) 1
 
1.4%
강원특별자치도 춘천시 영서로 2233, (퇴계동) 1
 
1.4%
강원특별자치도 춘천시 춘주로 176-1, (퇴계동) 1
 
1.4%
강원특별자치도 춘천시 영서로 2923, (사농동) 1
 
1.4%
강원특별자치도 춘천시 동면 소양강로 110, (장학리) 1
 
1.4%
강원특별자치도 춘천시 금강로 110, (운교동) 1
 
1.4%
Other values (10) 10
 
13.5%

Length

2023-12-13T01:00:14.591088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
춘천시 18
18.9%
강원특별자치도 16
16.8%
na 7
 
7.4%
석사동 3
 
3.2%
동내면 2
 
2.1%
춘천순환로 2
 
2.1%
거두리 2
 
2.1%
공지로 2
 
2.1%
영서로 2
 
2.1%
퇴계동 2
 
2.1%
Other values (38) 39
41.1%

위도
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)97.3%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean37.871352
Minimum37.786966
Maximum37.930342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-13T01:00:14.723152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.786966
5-th percentile37.846705
Q137.856714
median37.868425
Q337.884465
95-th percentile37.917543
Maximum37.930342
Range0.143376
Interquartile range (IQR)0.027751

Descriptive statistics

Standard deviation0.024001314
Coefficient of variation (CV)0.00063375911
Kurtosis1.9133649
Mean37.871352
Median Absolute Deviation (MAD)0.012534
Skewness0.043181039
Sum2764.6087
Variance0.00057606309
MonotonicityNot monotonic
2023-12-13T01:00:14.862928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.868425 2
 
2.7%
37.870198 2
 
2.7%
37.898343 1
 
1.4%
37.855337 1
 
1.4%
37.859442 1
 
1.4%
37.852599 1
 
1.4%
37.849956 1
 
1.4%
37.850616 1
 
1.4%
37.856714 1
 
1.4%
37.861154 1
 
1.4%
Other values (61) 61
82.4%
ValueCountFrequency (%)
37.786966 1
1.4%
37.815965 1
1.4%
37.838846 1
1.4%
37.844756 1
1.4%
37.848005 1
1.4%
37.848244 1
1.4%
37.849956 1
1.4%
37.850616 1
1.4%
37.851522 1
1.4%
37.852599 1
1.4%
ValueCountFrequency (%)
37.930342 1
1.4%
37.925492 1
1.4%
37.925481 1
1.4%
37.92464 1
1.4%
37.912811 1
1.4%
37.907102 1
1.4%
37.903137 1
1.4%
37.901637 1
1.4%
37.901348 1
1.4%
37.898343 1
1.4%

경도
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)97.3%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean127.73735
Minimum127.64801
Maximum127.78088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-13T01:00:15.011780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.64801
5-th percentile127.71049
Q1127.72569
median127.73849
Q3127.75229
95-th percentile127.76122
Maximum127.78088
Range0.132864
Interquartile range (IQR)0.026602

Descriptive statistics

Standard deviation0.020150463
Coefficient of variation (CV)0.00015774919
Kurtosis4.0268451
Mean127.73735
Median Absolute Deviation (MAD)0.013801
Skewness-1.063236
Sum9324.8267
Variance0.00040604117
MonotonicityNot monotonic
2023-12-13T01:00:15.163246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.70606 2
 
2.7%
127.752291 2
 
2.7%
127.750913 1
 
1.4%
127.738568 1
 
1.4%
127.71729 1
 
1.4%
127.730907 1
 
1.4%
127.737757 1
 
1.4%
127.734789 1
 
1.4%
127.737881 1
 
1.4%
127.728648 1
 
1.4%
Other values (61) 61
82.4%
ValueCountFrequency (%)
127.648013 1
1.4%
127.70606 2
2.7%
127.707129 1
1.4%
127.71273 1
1.4%
127.713631 1
1.4%
127.713801 1
1.4%
127.715071 1
1.4%
127.715529 1
1.4%
127.71729 1
1.4%
127.717627 1
1.4%
ValueCountFrequency (%)
127.780877 1
1.4%
127.775445 1
1.4%
127.768554 1
1.4%
127.761412 1
1.4%
127.761096 1
1.4%
127.760177 1
1.4%
127.759145 1
1.4%
127.75877 1
1.4%
127.758134 1
1.4%
127.757238 1
1.4%

설치장소설명
Text

MISSING 

Distinct67
Distinct (%)100.0%
Missing7
Missing (%)9.5%
Memory size724.0 B
2023-12-13T01:00:15.452838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length11
Min length5

Characters and Unicode

Total characters737
Distinct characters183
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st row철새도래지공원에서 한림성심대 방향
2nd row후평동 극동아파트 아래
3rd row강원도사회복지회관 옆
4th row장학아이파크사거리
5th row온누리교회 아래 사거리
ValueCountFrequency (%)
앞 12
 
7.1%
건너편 12
 
7.1%
방향 10
 
5.9%
옆 10
 
5.9%
삼거리 5
 
3.0%
강원대 4
 
2.4%
사거리 3
 
1.8%
담장 2
 
1.2%
소양2교 2
 
1.2%
주차장 2
 
1.2%
Other values (103) 107
63.3%
2023-12-13T01:00:15.955152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
 
13.8%
리 21
 
2.8%
대 17
 
2.3%
너 16
 
2.2%
장 16
 
2.2%
사 16
 
2.2%
건 16
 
2.2%
거 15
 
2.0%
편 15
 
2.0%
아 13
 
1.8%
Other values (173) 490
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 602
81.7%
Space Separator 102
 
13.8%
Close Punctuation 9
 
1.2%
Open Punctuation 9
 
1.2%
Decimal Number 9
 
1.2%
Uppercase Letter 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 21
 
3.5%
대 17
 
2.8%
너 16
 
2.7%
장 16
 
2.7%
사 16
 
2.7%
건 16
 
2.7%
거 15
 
2.5%
편 15
 
2.5%
아 13
 
2.2%
트 13
 
2.2%
Other values (160) 444
73.8%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
5 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
6 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
L 1
16.7%
M 1
16.7%
Space Separator
ValueCountFrequency (%)
102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 602
81.7%
Common 129
 
17.5%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 21
 
3.5%
대 17
 
2.8%
너 16
 
2.7%
장 16
 
2.7%
사 16
 
2.7%
건 16
 
2.7%
거 15
 
2.5%
편 15
 
2.5%
아 13
 
2.2%
트 13
 
2.2%
Other values (160) 444
73.8%
Common
ValueCountFrequency (%)
102
79.1%
) 9
 
7.0%
( 9
 
7.0%
1 3
 
2.3%
2 2
 
1.6%
5 1
 
0.8%
4 1
 
0.8%
3 1
 
0.8%
6 1
 
0.8%
Latin
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
L 1
16.7%
M 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 602
81.7%
ASCII 135
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
75.6%
) 9
 
6.7%
( 9
 
6.7%
1 3
 
2.2%
S 2
 
1.5%
G 2
 
1.5%
2 2
 
1.5%
L 1
 
0.7%
5 1
 
0.7%
4 1
 
0.7%
Other values (3) 3
 
2.2%
Hangul
ValueCountFrequency (%)
리 21
 
3.5%
대 17
 
2.8%
너 16
 
2.7%
장 16
 
2.7%
사 16
 
2.7%
건 16
 
2.7%
거 15
 
2.5%
편 15
 
2.5%
아 13
 
2.2%
트 13
 
2.2%
Other values (160) 444
73.8%

기수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
2
33 
1
33 
3
5 
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row2
2nd row1
3rd row2
4th row4
5th row2

Common Values

ValueCountFrequency (%)
2 33
44.6%
1 33
44.6%
3 5
 
6.8%
4 2
 
2.7%
5 1
 
1.4%

Length

2023-12-13T01:00:16.491365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:16.647482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 33
44.6%
1 33
44.6%
3 5
 
6.8%
4 2
 
2.7%
5 1
 
1.4%

설치가능 매수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4189189
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-13T01:00:16.779427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median9
Q312
95-th percentile18
Maximum30
Range29
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.52919
Coefficient of variation (CV)0.77553782
Kurtosis0.42982895
Mean8.4189189
Median Absolute Deviation (MAD)5
Skewness0.79740522
Sum623
Variance42.630322
MonotonicityNot monotonic
2023-12-13T01:00:16.932305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 27
36.5%
12 26
35.1%
6 5
 
6.8%
18 5
 
6.8%
4 4
 
5.4%
14 3
 
4.1%
24 2
 
2.7%
30 1
 
1.4%
1 1
 
1.4%
ValueCountFrequency (%)
1 1
 
1.4%
2 27
36.5%
4 4
 
5.4%
6 5
 
6.8%
12 26
35.1%
14 3
 
4.1%
18 5
 
6.8%
24 2
 
2.7%
30 1
 
1.4%
ValueCountFrequency (%)
30 1
 
1.4%
24 2
 
2.7%
18 5
 
6.8%
14 3
 
4.1%
12 26
35.1%
6 5
 
6.8%
4 4
 
5.4%
2 27
36.5%
1 1
 
1.4%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
건축과
74 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건축과 74
100.0%

Length

2023-12-13T01:00:17.122486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:17.259724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건축과 74
100.0%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
033-250-3103
74 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-250-3103
2nd row033-250-3103
3rd row033-250-3103
4th row033-250-3103
5th row033-250-3103

Common Values

ValueCountFrequency (%)
033-250-3103 74
100.0%

Length

2023-12-13T01:00:17.398957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:17.524550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-250-3103 74
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2023-11-10 00:00:00
Maximum2023-11-10 00:00:00
2023-12-13T01:00:17.610770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:17.718385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:00:12.607123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.018047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.346610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.682322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.134024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.436238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.753899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.236683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:12.528772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:00:17.821464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시대 명칭유형지번주소도로명주소위도경도설치장소설명기수설치가능 매수
게시대 명칭1.0000.8060.9940.0001.0001.0001.0000.0000.000
유형0.8061.0000.9600.2000.0000.3071.0000.5530.708
지번주소0.9940.9601.0001.0001.0001.0001.0000.9860.991
도로명주소0.0000.2001.0001.0000.0000.0001.0000.0000.000
위도1.0000.0001.0000.0001.0000.7031.0000.0000.000
경도1.0000.3071.0000.0000.7031.0001.0000.0000.040
설치장소설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
기수0.0000.5530.9860.0000.0000.0001.0001.0000.976
설치가능 매수0.0000.7080.9910.0000.0000.0401.0000.9761.000
2023-12-13T01:00:17.995943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명주소기수유형
도로명주소1.0000.0000.138
기수0.0001.0000.489
유형0.1380.4891.000
2023-12-13T01:00:18.117079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치가능 매수유형도로명주소기수
위도1.0000.094-0.1320.0000.0000.000
경도0.0941.0000.0920.2080.0000.000
설치가능 매수-0.1320.0921.0000.6070.0000.967
유형0.0000.2080.6071.0000.1380.489
도로명주소0.0000.0000.0000.1381.0000.000
기수0.0000.0000.9670.4890.0001.000

Missing values

2023-12-13T01:00:12.852996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:00:12.990432image/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.
2023-12-13T01:00:13.088797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

게시대 명칭유형지번주소도로명주소위도경도설치장소설명기수설치가능 매수담당부서연락처데이터기준일
0철새도래지공원삼거리6단형강원특별자치도 춘천시 동면 장학리 791-16737.898343127.750913철새도래지공원에서 한림성심대 방향212건축과033-250-31032023-11-10
1하이테크벤처타운6단형강원특별자치도 춘천시 후평동 718-137.891794127.739122후평동 극동아파트 아래16건축과033-250-31032023-11-10
2장학한마음교회사거리6단형강원특별자치도 춘천시 동면 장학리 986강원특별자치도 춘천시 동면 소양강로 110, (장학리)37.897062127.750042강원도사회복지회관 옆212건축과033-250-31032023-11-10
3장학아이파크사거리6단형강원특별자치도 춘천시 동면 장학리 88437.892029127.756209장학아이파크사거리424건축과033-250-31032023-11-10
4온누리교회밑사거리6단형강원특별자치도 춘천시 동면 만천리 478-237.874664127.768554온누리교회 아래 사거리212건축과033-250-31032023-11-10
5석사동새벽시장앞6단형강원특별자치도 춘천시 석사동 산1-2537.870899127.760177애막골 새벽시장건너편318건축과033-250-31032023-11-10
6동부초교청구아파트앞6단형강원특별자치도 춘천시 후평동 894강원특별자치도 춘천시 서부대성로 339, (후평동)37.871059127.754766청구아파트 옆212건축과033-250-31032023-11-10
7한신아파트앞6단형강원특별자치도 춘천시 후평동 891-737.872443127.752955후평3동 우체국 옆 주차장212건축과033-250-31032023-11-10
8애막골/정상(국제생활관)6단형강원특별자치도 춘천시 후평동 480-8237.870198127.752291강원대 국제생활관 앞212건축과033-250-31032023-11-10
9애막골 먹자골목 삼거리6단형강원특별자치도 춘천시 석사동 728-137.867711127.752436강원대 의대옆(진흥아파트)212건축과033-250-31032023-11-10
게시대 명칭유형지번주소도로명주소위도경도설치장소설명기수설치가능 매수담당부서연락처데이터기준일
64사우사거리2단형강원특별자치도 춘천시 우두동 688-1537.901637127.728705두미르레스텔 앞12건축과033-250-31032023-11-10
65안디옥교회사거리2단형강원특별자치도 춘천시 석사동 82637.853591127.743676퇴계주공4단지 방향12건축과033-250-31032023-11-10
66스무숲 새순교회2단형강원특별자치도 춘천시 석사동 86037.851522127.749433하천 방향12건축과033-250-31032023-11-10
67공지사거리2단형강원특별자치도 춘천시 근화동<NA><NA><NA>서부지구대 반대편12건축과033-250-31032023-11-10
68팔호광장 앞1단형강원특별자치도 춘천시 효자동715<NA>37.873967127.73418팔호광장 앞11건축과033-250-31032023-11-10
69하이마트 사거리 앞2단형강원특별자치도 춘천시 석사동 531-10<NA>37.854988127.73849하이마트(춘천점)사거리 앞12건축과033-250-31032023-11-10
70장학리 MS마트 앞2단형강원특별자치도 춘천시 동면 장학리 809-25<NA>37.892589127.7563MS마트(장학점) 앞12건축과033-250-31032023-11-10
71소양2교번개시장2단형강원특별자치도 춘천시 소양로1가 65-10<NA>37.893753127.72727소양로1가 사거리12건축과033-250-31032023-11-10
72우두사거리2단형강원특별자치도 춘천시 우두동 688-16<NA>37.901348127.72927우두사거리12건축과033-250-31032023-11-10
73소양3교(우두교)2단형강원특별자치도 춘천시 동면 장학리 650-12<NA>37.907102127.7489우두교 건너기 전12건축과033-250-31032023-11-10