Overview

Dataset statistics

Number of variables10
Number of observations658
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory54.1 KiB
Average record size in memory84.2 B

Variable types

Categorical2
Text4
Numeric4

Dataset

Description강원특별자치도 공공게시판 정보(시설명, 소재지주소, 운영기관명, 설치장소, 게시면수, 운영시작연도, 위치 위도/경도 등) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15033684/fileData.do

Alerts

시도명 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
경도(WGS84좌표) is highly overall correlated with 시군구명High correlation
위도(WGS84좌표) is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 경도(WGS84좌표) and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 23:25:32.112109
Analysis finished2023-12-12 23:25:34.421087
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
강원특별자치도
658 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 658
100.0%

Length

2023-12-13T08:25:34.477843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:25:34.561577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 658
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
양구군
99 
동해시
62 
춘천시
62 
태백시
59 
정선군
57 
Other values (12)
319 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양구군 99
15.0%
동해시 62
9.4%
춘천시 62
9.4%
태백시 59
9.0%
정선군 57
8.7%
원주시 54
8.2%
횡성군 47
7.1%
강릉시 41
6.2%
철원군 41
6.2%
삼척시 35
 
5.3%
Other values (7) 101
15.3%

Length

2023-12-13T08:25:34.648684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양구군 99
15.0%
동해시 62
9.4%
춘천시 62
9.4%
태백시 59
9.0%
정선군 57
8.7%
원주시 54
8.2%
횡성군 47
7.1%
철원군 41
6.2%
강릉시 41
6.2%
삼척시 35
 
5.3%
Other values (7) 101
15.3%

시설명
Text

Distinct158
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-13T08:25:34.925241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length7.7933131
Min length3

Characters and Unicode

Total characters5128
Distinct characters216
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

Unique144 ?
Unique (%)21.9%

Sample

1st row현수막 지정게시대
2nd row현수막 지정게시대
3rd row현수막 지정게시대
4th row현수막 지정게시대
5th row현수막 지정게시대
ValueCountFrequency (%)
현수막게시대 237
30.0%
마을회관게시판 82
 
10.4%
일반게시대 42
 
5.3%
현수막 41
 
5.2%
지정게시대 41
 
5.2%
공공게시대 38
 
4.8%
벽보게시판 20
 
2.5%
행정게시대 18
 
2.3%
벽보형 15
 
1.9%
지정 15
 
1.9%
Other values (185) 240
30.4%
2023-12-13T08:25:35.431840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 653
 
12.7%
게 609
 
11.9%
대 484
 
9.4%
수 357
 
7.0%
현 355
 
6.9%
막 352
 
6.9%
140
 
2.7%
판 138
 
2.7%
관 114
 
2.2%
정 97
 
1.9%
Other values (206) 1829
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4783
93.3%
Space Separator 140
 
2.7%
Open Punctuation 86
 
1.7%
Close Punctuation 86
 
1.7%
Decimal Number 21
 
0.4%
Uppercase Letter 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 653
13.7%
게 609
 
12.7%
대 484
 
10.1%
수 357
 
7.5%
현 355
 
7.4%
막 352
 
7.4%
판 138
 
2.9%
관 114
 
2.4%
정 97
 
2.0%
회 97
 
2.0%
Other values (194) 1527
31.9%
Decimal Number
ValueCountFrequency (%)
2 10
47.6%
3 6
28.6%
1 4
 
19.0%
4 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 82
95.3%
[ 4
 
4.7%
Close Punctuation
ValueCountFrequency (%)
) 82
95.3%
] 4
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
50.0%
A 5
50.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4783
93.3%
Common 335
 
6.5%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 653
13.7%
게 609
 
12.7%
대 484
 
10.1%
수 357
 
7.5%
현 355
 
7.4%
막 352
 
7.4%
판 138
 
2.9%
관 114
 
2.4%
정 97
 
2.0%
회 97
 
2.0%
Other values (194) 1527
31.9%
Common
ValueCountFrequency (%)
140
41.8%
( 82
24.5%
) 82
24.5%
2 10
 
3.0%
3 6
 
1.8%
1 4
 
1.2%
] 4
 
1.2%
[ 4
 
1.2%
- 2
 
0.6%
4 1
 
0.3%
Latin
ValueCountFrequency (%)
B 5
50.0%
A 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4783
93.3%
ASCII 345
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 653
13.7%
게 609
 
12.7%
대 484
 
10.1%
수 357
 
7.5%
현 355
 
7.4%
막 352
 
7.4%
판 138
 
2.9%
관 114
 
2.4%
정 97
 
2.0%
회 97
 
2.0%
Other values (194) 1527
31.9%
ASCII
ValueCountFrequency (%)
140
40.6%
( 82
23.8%
) 82
23.8%
2 10
 
2.9%
3 6
 
1.7%
B 5
 
1.4%
A 5
 
1.4%
1 4
 
1.2%
] 4
 
1.2%
[ 4
 
1.2%
Other values (2) 3
 
0.9%

소재지주소
Text

Distinct616
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-13T08:25:35.744646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length22.848024
Min length15

Characters and Unicode

Total characters15034
Distinct characters200
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

Unique580 ?
Unique (%)88.1%

Sample

1st row강원특별자치도 강릉시 남문동 67
2nd row강원특별자치도 강릉시 교동 1845-1
3rd row강원특별자치도 강릉시 교동 700
4th row강원특별자치도 강릉시 교동 1763
5th row강원특별자치도 강릉시 교동 707-94
ValueCountFrequency (%)
강원특별자치도 658
 
21.8%
양구군 99
 
3.3%
춘천시 62
 
2.1%
동해시 62
 
2.1%
태백시 59
 
2.0%
정선군 57
 
1.9%
원주시 54
 
1.8%
횡성군 47
 
1.6%
양구읍 44
 
1.5%
철원군 41
 
1.4%
Other values (959) 1835
60.8%
2023-12-13T08:25:36.504808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2379
 
15.8%
원 780
 
5.2%
강 715
 
4.8%
도 673
 
4.5%
자 665
 
4.4%
치 659
 
4.4%
별 658
 
4.4%
특 658
 
4.4%
- 505
 
3.4%
1 482
 
3.2%
Other values (190) 6860
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9598
63.8%
Decimal Number 2552
 
17.0%
Space Separator 2379
 
15.8%
Dash Punctuation 505
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 780
 
8.1%
강 715
 
7.4%
도 673
 
7.0%
자 665
 
6.9%
치 659
 
6.9%
별 658
 
6.9%
특 658
 
6.9%
동 387
 
4.0%
리 386
 
4.0%
군 335
 
3.5%
Other values (178) 3682
38.4%
Decimal Number
ValueCountFrequency (%)
1 482
18.9%
2 306
12.0%
3 289
11.3%
4 265
10.4%
6 236
9.2%
5 229
9.0%
7 195
7.6%
0 186
 
7.3%
8 185
 
7.2%
9 179
 
7.0%
Space Separator
ValueCountFrequency (%)
2379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 505
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9598
63.8%
Common 5436
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 780
 
8.1%
강 715
 
7.4%
도 673
 
7.0%
자 665
 
6.9%
치 659
 
6.9%
별 658
 
6.9%
특 658
 
6.9%
동 387
 
4.0%
리 386
 
4.0%
군 335
 
3.5%
Other values (178) 3682
38.4%
Common
ValueCountFrequency (%)
2379
43.8%
- 505
 
9.3%
1 482
 
8.9%
2 306
 
5.6%
3 289
 
5.3%
4 265
 
4.9%
6 236
 
4.3%
5 229
 
4.2%
7 195
 
3.6%
0 186
 
3.4%
Other values (2) 364
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9598
63.8%
ASCII 5436
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2379
43.8%
- 505
 
9.3%
1 482
 
8.9%
2 306
 
5.6%
3 289
 
5.3%
4 265
 
4.9%
6 236
 
4.3%
5 229
 
4.2%
7 195
 
3.6%
0 186
 
3.4%
Other values (2) 364
 
6.7%
Hangul
ValueCountFrequency (%)
원 780
 
8.1%
강 715
 
7.4%
도 673
 
7.0%
자 665
 
6.9%
치 659
 
6.9%
별 658
 
6.9%
특 658
 
6.9%
동 387
 
4.0%
리 386
 
4.0%
군 335
 
3.5%
Other values (178) 3682
38.4%

운영기관명
Text

Distinct74
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-13T08:25:36.734992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length15.355623
Min length11

Characters and Unicode

Total characters10104
Distinct characters113
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

Unique49 ?
Unique (%)7.4%

Sample

1st row강원특별자치도 강릉시
2nd row강원특별자치도 강릉시
3rd row강원특별자치도 강릉시
4th row강원특별자치도 강릉시
5th row강원특별자치도 강릉시
ValueCountFrequency (%)
강원특별자치도 552
34.2%
강원특별자치도옥외광고협회 106
 
6.6%
양구군 99
 
6.1%
춘천시 62
 
3.8%
태백시지부 59
 
3.7%
정선군 57
 
3.5%
원주시 54
 
3.3%
도시디자인과 54
 
3.3%
횡성군 47
 
2.9%
도시행정과 47
 
2.9%
Other values (71) 478
29.6%
2023-12-13T08:25:37.142264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
974
 
9.6%
도 776
 
7.7%
원 754
 
7.5%
자 727
 
7.2%
강 703
 
7.0%
특 658
 
6.5%
별 658
 
6.5%
치 658
 
6.5%
시 440
 
4.4%
군 330
 
3.3%
Other values (103) 3426
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9128
90.3%
Space Separator 974
 
9.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 776
 
8.5%
원 754
 
8.3%
자 727
 
8.0%
강 703
 
7.7%
특 658
 
7.2%
별 658
 
7.2%
치 658
 
7.2%
시 440
 
4.8%
군 330
 
3.6%
양 207
 
2.3%
Other values (100) 3217
35.2%
Space Separator
ValueCountFrequency (%)
974
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9128
90.3%
Common 976
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 776
 
8.5%
원 754
 
8.3%
자 727
 
8.0%
강 703
 
7.7%
특 658
 
7.2%
별 658
 
7.2%
치 658
 
7.2%
시 440
 
4.8%
군 330
 
3.6%
양 207
 
2.3%
Other values (100) 3217
35.2%
Common
ValueCountFrequency (%)
974
99.8%
) 1
 
0.1%
( 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9128
90.3%
ASCII 976
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
974
99.8%
) 1
 
0.1%
( 1
 
0.1%
Hangul
ValueCountFrequency (%)
도 776
 
8.5%
원 754
 
8.3%
자 727
 
8.0%
강 703
 
7.7%
특 658
 
7.2%
별 658
 
7.2%
치 658
 
7.2%
시 440
 
4.8%
군 330
 
3.6%
양 207
 
2.3%
Other values (100) 3217
35.2%

설치장소
Text

Distinct626
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-13T08:25:37.420084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length10.258359
Min length2

Characters and Unicode

Total characters6750
Distinct characters375
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique601 ?
Unique (%)91.3%

Sample

1st row내곡교 옆
2nd row율곡초교 앞
3rd row율곡중학교앞
4th row원대고개
5th row솔올우회도로 율곡중학교 육교 옆
ValueCountFrequency (%)
앞 88
 
6.3%
입구 54
 
3.9%
옆 52
 
3.7%
마을회관앞 33
 
2.4%
강원특별자치도 23
 
1.6%
인제군 23
 
1.6%
삼거리 23
 
1.6%
북면 18
 
1.3%
정선읍 15
 
1.1%
사거리 11
 
0.8%
Other values (800) 1054
75.6%
2023-12-13T08:25:37.931133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
 
11.3%
리 346
 
5.1%
앞 161
 
2.4%
사 151
 
2.2%
( 119
 
1.8%
거 118
 
1.7%
) 117
 
1.7%
교 106
 
1.6%
구 97
 
1.4%
동 96
 
1.4%
Other values (365) 4676
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5179
76.7%
Space Separator 763
 
11.3%
Decimal Number 448
 
6.6%
Open Punctuation 119
 
1.8%
Close Punctuation 117
 
1.7%
Dash Punctuation 72
 
1.1%
Uppercase Letter 44
 
0.7%
Other Punctuation 4
 
0.1%
Other Number 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 346
 
6.7%
앞 161
 
3.1%
사 151
 
2.9%
거 118
 
2.3%
교 106
 
2.0%
구 97
 
1.9%
동 96
 
1.9%
원 89
 
1.7%
면 84
 
1.6%
입 83
 
1.6%
Other values (334) 3848
74.3%
Uppercase Letter
ValueCountFrequency (%)
T 8
18.2%
A 8
18.2%
C 7
15.9%
P 7
15.9%
I 6
13.6%
L 2
 
4.5%
S 2
 
4.5%
J 1
 
2.3%
V 1
 
2.3%
G 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 87
19.4%
2 67
15.0%
3 52
11.6%
5 48
10.7%
4 44
9.8%
6 42
9.4%
8 33
 
7.4%
7 33
 
7.4%
0 21
 
4.7%
9 21
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Other Number
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Space Separator
ValueCountFrequency (%)
763
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5179
76.7%
Common 1526
 
22.6%
Latin 45
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 346
 
6.7%
앞 161
 
3.1%
사 151
 
2.9%
거 118
 
2.3%
교 106
 
2.0%
구 97
 
1.9%
동 96
 
1.9%
원 89
 
1.7%
면 84
 
1.6%
입 83
 
1.6%
Other values (334) 3848
74.3%
Common
ValueCountFrequency (%)
763
50.0%
( 119
 
7.8%
) 117
 
7.7%
1 87
 
5.7%
- 72
 
4.7%
2 67
 
4.4%
3 52
 
3.4%
5 48
 
3.1%
4 44
 
2.9%
6 42
 
2.8%
Other values (9) 115
 
7.5%
Latin
ValueCountFrequency (%)
T 8
17.8%
A 8
17.8%
C 7
15.6%
P 7
15.6%
I 6
13.3%
L 2
 
4.4%
S 2
 
4.4%
J 1
 
2.2%
m 1
 
2.2%
V 1
 
2.2%
Other values (2) 2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5179
76.7%
ASCII 1569
 
23.2%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
763
48.6%
( 119
 
7.6%
) 117
 
7.5%
1 87
 
5.5%
- 72
 
4.6%
2 67
 
4.3%
3 52
 
3.3%
5 48
 
3.1%
4 44
 
2.8%
6 42
 
2.7%
Other values (19) 158
 
10.1%
Hangul
ValueCountFrequency (%)
리 346
 
6.7%
앞 161
 
3.1%
사 151
 
2.9%
거 118
 
2.3%
교 106
 
2.0%
구 97
 
1.9%
동 96
 
1.9%
원 89
 
1.7%
면 84
 
1.6%
입 83
 
1.6%
Other values (334) 3848
74.3%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%

게시면수
Real number (ℝ)

Distinct19
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5790274
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T08:25:38.057401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q310
95-th percentile12
Maximum24
Range23
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.3430503
Coefficient of variation (CV)0.77846012
Kurtosis0.029897742
Mean5.5790274
Median Absolute Deviation (MAD)4
Skewness0.77631095
Sum3671
Variance18.862086
MonotonicityNot monotonic
2023-12-13T08:25:38.185522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 186
28.3%
5 103
15.7%
10 86
13.1%
6 71
 
10.8%
12 71
 
10.8%
2 49
 
7.4%
4 47
 
7.1%
15 10
 
1.5%
9 6
 
0.9%
14 5
 
0.8%
Other values (9) 24
 
3.6%
ValueCountFrequency (%)
1 186
28.3%
2 49
 
7.4%
3 4
 
0.6%
4 47
 
7.1%
5 103
15.7%
6 71
 
10.8%
7 4
 
0.6%
8 5
 
0.8%
9 6
 
0.9%
10 86
13.1%
ValueCountFrequency (%)
24 1
 
0.2%
21 2
 
0.3%
20 1
 
0.2%
18 2
 
0.3%
16 3
 
0.5%
15 10
 
1.5%
14 5
 
0.8%
12 71
10.8%
11 2
 
0.3%
10 86
13.1%

운영시작연도
Real number (ℝ)

Distinct27
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.0821
Minimum1980
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T08:25:38.313356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1980
5-th percentile2000
Q12003
median2010
Q32015
95-th percentile2017
Maximum2017
Range37
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.760703
Coefficient of variation (CV)0.0033650706
Kurtosis-0.044008095
Mean2009.0821
Median Absolute Deviation (MAD)6
Skewness-0.52235978
Sum1321976
Variance45.707106
MonotonicityNot monotonic
2023-12-13T08:25:38.460772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2017 127
19.3%
2015 65
9.9%
2001 59
9.0%
2003 56
8.5%
2004 49
 
7.4%
2016 37
 
5.6%
2010 35
 
5.3%
2000 34
 
5.2%
2014 31
 
4.7%
2011 28
 
4.3%
Other values (17) 137
20.8%
ValueCountFrequency (%)
1980 1
 
0.2%
1983 2
 
0.3%
1984 1
 
0.2%
1987 1
 
0.2%
1988 1
 
0.2%
1993 1
 
0.2%
1997 1
 
0.2%
1998 9
 
1.4%
1999 1
 
0.2%
2000 34
5.2%
ValueCountFrequency (%)
2017 127
19.3%
2016 37
 
5.6%
2015 65
9.9%
2014 31
 
4.7%
2013 12
 
1.8%
2012 12
 
1.8%
2011 28
 
4.3%
2010 35
 
5.3%
2009 11
 
1.7%
2008 15
 
2.3%

경도(WGS84좌표)
Real number (ℝ)

HIGH CORRELATION 

Distinct619
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.36853
Minimum127.13444
Maximum129.33731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T08:25:38.621977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.13444
5-th percentile127.43515
Q1127.95186
median128.25346
Q3128.92004
95-th percentile129.14501
Maximum129.33731
Range2.202871
Interquartile range (IQR)0.96818065

Descriptive statistics

Standard deviation0.56775843
Coefficient of variation (CV)0.0044228788
Kurtosis-1.1265831
Mean128.36853
Median Absolute Deviation (MAD)0.49372095
Skewness-0.13843082
Sum84466.49
Variance0.32234963
MonotonicityNot monotonic
2023-12-13T08:25:38.764873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.875899 5
 
0.8%
127.7515629 3
 
0.5%
128.9928956 3
 
0.5%
128.9944699 3
 
0.5%
129.0370249 2
 
0.3%
128.2055577 2
 
0.3%
127.7607119 2
 
0.3%
127.7261656 2
 
0.3%
128.9950065 2
 
0.3%
129.1203811 2
 
0.3%
Other values (609) 632
96.0%
ValueCountFrequency (%)
127.134436 1
0.2%
127.134545 1
0.2%
127.134556 1
0.2%
127.134561 1
0.2%
127.144223 1
0.2%
127.169109 1
0.2%
127.180551 1
0.2%
127.18154 1
0.2%
127.182279 1
0.2%
127.182491 1
0.2%
ValueCountFrequency (%)
129.337307 1
0.2%
129.335591 1
0.2%
129.225717 1
0.2%
129.205234 1
0.2%
129.185304 1
0.2%
129.184488 1
0.2%
129.17789 1
0.2%
129.177022 1
0.2%
129.175123 1
0.2%
129.171241 1
0.2%

위도(WGS84좌표)
Real number (ℝ)

HIGH CORRELATION 

Distinct619
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.707947
Minimum37.092981
Maximum38.503096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T08:25:38.908709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.092981
5-th percentile37.162707
Q137.381164
median37.689556
Q338.096865
95-th percentile38.227852
Maximum38.503096
Range1.4101149
Interquartile range (IQR)0.7157005

Descriptive statistics

Standard deviation0.3739325
Coefficient of variation (CV)0.0099165436
Kurtosis-1.3773063
Mean37.707947
Median Absolute Deviation (MAD)0.3580015
Skewness0.055839391
Sum24811.829
Variance0.13982552
MonotonicityNot monotonic
2023-12-13T08:25:39.054276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.752109 5
 
0.8%
37.8671673 3
 
0.5%
37.1731497 3
 
0.5%
37.1482356 3
 
0.5%
37.1150519 2
 
0.3%
38.1254899 2
 
0.3%
37.8708138 2
 
0.3%
37.8644562 2
 
0.3%
37.17124253 2
 
0.3%
37.4910298 2
 
0.3%
Other values (609) 632
96.0%
ValueCountFrequency (%)
37.0929806 1
0.2%
37.0982481 1
0.2%
37.098602 1
0.2%
37.100071 1
0.2%
37.100643 1
0.2%
37.103496 1
0.2%
37.1036588 1
0.2%
37.105716 2
0.3%
37.1057629 1
0.2%
37.1150519 2
0.3%
ValueCountFrequency (%)
38.50309551 1
0.2%
38.49406207 1
0.2%
38.44589367 1
0.2%
38.43611439 1
0.2%
38.38620832 1
0.2%
38.38061748 1
0.2%
38.37838545 1
0.2%
38.37761662 1
0.2%
38.35571689 1
0.2%
38.32881681 1
0.2%

Interactions

2023-12-13T08:25:33.838460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:32.738339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.115051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.486870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.924235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:32.821687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.198394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.562374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:34.025430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:32.908066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.294445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.655421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:34.115267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:32.986545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.394989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:25:33.744007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:25:39.146511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명운영기관명게시면수운영시작연도경도(WGS84좌표)위도(WGS84좌표)
시군구명1.0001.0000.7570.7900.9370.934
운영기관명1.0001.0000.7470.9060.9750.977
게시면수0.7570.7471.0000.6580.7040.642
운영시작연도0.7900.9060.6581.0000.6610.648
경도(WGS84좌표)0.9370.9750.7040.6611.0000.882
위도(WGS84좌표)0.9340.9770.6420.6480.8821.000
2023-12-13T08:25:39.251993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시면수운영시작연도경도(WGS84좌표)위도(WGS84좌표)시군구명
게시면수1.000-0.364-0.290-0.2700.417
운영시작연도-0.3641.0000.2080.1410.460
경도(WGS84좌표)-0.2900.2081.000-0.4480.738
위도(WGS84좌표)-0.2700.141-0.4481.0000.729
시군구명0.4170.4600.7380.7291.000

Missing values

2023-12-13T08:25:34.236254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:25:34.369230image/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

시도명시군구명시설명소재지주소운영기관명설치장소게시면수운영시작연도경도(WGS84좌표)위도(WGS84좌표)
0강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 남문동 67강원특별자치도 강릉시내곡교 옆12000128.89038437.748721
1강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 교동 1845-1강원특별자치도 강릉시율곡초교 앞22003128.88068637.767265
2강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 교동 700강원특별자치도 강릉시율곡중학교앞22015128.88840337.769081
3강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 교동 1763강원특별자치도 강릉시원대고개22005128.88226837.762829
4강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 교동 707-94강원특별자치도 강릉시솔올우회도로 율곡중학교 육교 옆12010128.89056537.77138
5강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 교동 332강원특별자치도 강릉시올림픽경기장 입구22017128.89722537.770258
6강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 교동 1745-1강원특별자치도 강릉시교동 신삼거리22014128.88206437.771471
7강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 지변동 123강원특별자치도 강릉시강릉대학교 앞22014128.86919637.769864
8강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 송정동 746-2강원특별자치도 강릉시동명중학교 앞22014128.91613837.776915
9강원특별자치도강릉시현수막 지정게시대강원특별자치도 강릉시 초당동 127-15강원특별자치도 강릉시한전 옆12000128.9196937.783185
시도명시군구명시설명소재지주소운영기관명설치장소게시면수운영시작연도경도(WGS84좌표)위도(WGS84좌표)
648강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 청일면 고시리 661강원특별자치도 횡성군 도시행정과봉덕사거리52003128.17361737.57356
649강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 공근면 학담리 62-3강원특별자치도 횡성군 도시행정과공근교 옆102003127.96324337.535488
650강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 공근면 학담리 469-20강원특별자치도 횡성군 도시행정과농업기술센터 입구52003127.95914837.527272
651강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 공근면 학담리 113-4강원특별자치도 횡성군 도시행정과군부대 입구42003127.96203537.532598
652강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 공근면 학담리 산8-4강원특별자치도 횡성군 도시행정과학담리 초당교52003127.96487937.541143
653강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 공근면 초원리 393-6강원특별자치도 횡성군 도시행정과공근 IT밸리 앞102003127.9136337.527269
654강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 서원면 창촌리 816-5강원특별자치도 횡성군 도시행정과서원면사무소 앞102003127.85626237.487108
655강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 서원면 유현리 산239-3강원특별자치도 횡성군 도시행정과유현3리 복지골 앞102003127.88566937.526777
656강원특별자치도횡성군현수막게시대강원특별자치도 횡성군 강림면 강림리 2459-32강원특별자치도 횡성군 도시행정과강림5리 강림교 앞102003128.12858737.362105
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