Overview

Dataset statistics

Number of variables8
Number of observations102
Missing cells40
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory67.3 B

Variable types

Text5
Numeric2
Categorical1

Dataset

Description강릉시 행정기관에 대한 데이터로 행정기관명, 도로명 주소, 지번주소, 위도, 경도, 전화번호, 홈페이지, 데이터기준일자 등의 항목을 제공합니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15013731/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 2 (2.0%) missing valuesMissing
홈페이지 has 38 (37.3%) missing valuesMissing
행정기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:12:27.309511
Analysis finished2023-12-12 18:12:29.545966
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정기관명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-13T03:12:29.747021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15.5
Mean length8.2058824
Min length3

Characters and Unicode

Total characters837
Distinct characters176
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row강릉시청
2nd row농업기술센터
3rd row강릉시보건소
4th row주문진통합보건지소
5th row동부도시보건지소
ValueCountFrequency (%)
농업기계임대사업소 3
 
2.7%
정동-심곡 2
 
1.8%
강릉통일공원 2
 
1.8%
강릉시청 1
 
0.9%
강북공설운동장 1
 
0.9%
홍제동주민센터 1
 
0.9%
연곡면사무소 1
 
0.9%
사천면사무소 1
 
0.9%
옥계면사무소 1
 
0.9%
강동면사무소 1
 
0.9%
Other values (96) 96
87.3%
2023-12-13T03:12:30.212379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 38
 
4.5%
관 32
 
3.8%
터 31
 
3.7%
강 31
 
3.7%
센 30
 
3.6%
릉 24
 
2.9%
보 21
 
2.5%
동 21
 
2.5%
사 20
 
2.4%
건 19
 
2.3%
Other values (166) 570
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
95.7%
Space Separator 8
 
1.0%
Dash Punctuation 7
 
0.8%
Open Punctuation 6
 
0.7%
Close Punctuation 6
 
0.7%
Decimal Number 4
 
0.5%
Lowercase Letter 4
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 38
 
4.7%
관 32
 
4.0%
터 31
 
3.9%
강 31
 
3.9%
센 30
 
3.7%
릉 24
 
3.0%
보 21
 
2.6%
동 21
 
2.6%
사 20
 
2.5%
건 19
 
2.4%
Other values (156) 534
66.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
n 1
25.0%
z 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
95.7%
Common 32
 
3.8%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 38
 
4.7%
관 32
 
4.0%
터 31
 
3.9%
강 31
 
3.9%
센 30
 
3.7%
릉 24
 
3.0%
보 21
 
2.6%
동 21
 
2.6%
사 20
 
2.5%
건 19
 
2.4%
Other values (156) 534
66.7%
Common
ValueCountFrequency (%)
8
25.0%
- 7
21.9%
( 6
18.8%
) 6
18.8%
2 2
 
6.2%
1 2
 
6.2%
/ 1
 
3.1%
Latin
ValueCountFrequency (%)
e 2
50.0%
n 1
25.0%
z 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
95.7%
ASCII 36
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 38
 
4.7%
관 32
 
4.0%
터 31
 
3.9%
강 31
 
3.9%
센 30
 
3.7%
릉 24
 
3.0%
보 21
 
2.6%
동 21
 
2.6%
사 20
 
2.5%
건 19
 
2.4%
Other values (156) 534
66.7%
ASCII
ValueCountFrequency (%)
8
22.2%
- 7
19.4%
( 6
16.7%
) 6
16.7%
2 2
 
5.6%
e 2
 
5.6%
1 2
 
5.6%
/ 1
 
2.8%
n 1
 
2.8%
z 1
 
2.8%

도로명주소
Text

Distinct96
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-13T03:12:30.549949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length21.578431
Min length15

Characters and Unicode

Total characters2201
Distinct characters132
Distinct categories7 ?
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 (%)88.2%

Sample

1st row강원도 강릉시 강릉대로 33 (홍제동)
2nd row강원도 강릉시 사천면 동해대로 3738-17
3rd row강원도 강릉시 남부로17번길 38 (내곡동)
4th row강원도 강릉시 주문진읍 항구로 19
5th row강원도 강릉시 강릉대로313번길 6 (포남동)
ValueCountFrequency (%)
강원도 102
20.4%
강릉시 102
20.4%
강동면 12
 
2.4%
율곡로 9
 
1.8%
사천면 7
 
1.4%
주문진읍 6
 
1.2%
교동 6
 
1.2%
포남동 6
 
1.2%
연곡면 6
 
1.2%
성산면 5
 
1.0%
Other values (169) 240
47.9%
2023-12-13T03:12:31.152228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
408
18.5%
강 232
 
10.5%
릉 110
 
5.0%
원 107
 
4.9%
시 104
 
4.7%
도 102
 
4.6%
동 69
 
3.1%
1 69
 
3.1%
로 67
 
3.0%
2 63
 
2.9%
Other values (122) 870
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1332
60.5%
Space Separator 408
 
18.5%
Decimal Number 335
 
15.2%
Open Punctuation 50
 
2.3%
Close Punctuation 50
 
2.3%
Dash Punctuation 21
 
1.0%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 232
17.4%
릉 110
 
8.3%
원 107
 
8.0%
시 104
 
7.8%
도 102
 
7.7%
동 69
 
5.2%
로 67
 
5.0%
길 42
 
3.2%
면 41
 
3.1%
곡 23
 
1.7%
Other values (107) 435
32.7%
Decimal Number
ValueCountFrequency (%)
1 69
20.6%
2 63
18.8%
3 37
11.0%
9 30
9.0%
4 26
 
7.8%
5 25
 
7.5%
7 24
 
7.2%
0 21
 
6.3%
6 20
 
6.0%
8 20
 
6.0%
Space Separator
ValueCountFrequency (%)
408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1332
60.5%
Common 869
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 232
17.4%
릉 110
 
8.3%
원 107
 
8.0%
시 104
 
7.8%
도 102
 
7.7%
동 69
 
5.2%
로 67
 
5.0%
길 42
 
3.2%
면 41
 
3.1%
곡 23
 
1.7%
Other values (107) 435
32.7%
Common
ValueCountFrequency (%)
408
47.0%
1 69
 
7.9%
2 63
 
7.2%
( 50
 
5.8%
) 50
 
5.8%
3 37
 
4.3%
9 30
 
3.5%
4 26
 
3.0%
5 25
 
2.9%
7 24
 
2.8%
Other values (5) 87
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1332
60.5%
ASCII 869
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
408
47.0%
1 69
 
7.9%
2 63
 
7.2%
( 50
 
5.8%
) 50
 
5.8%
3 37
 
4.3%
9 30
 
3.5%
4 26
 
3.0%
5 25
 
2.9%
7 24
 
2.8%
Other values (5) 87
 
10.0%
Hangul
ValueCountFrequency (%)
강 232
17.4%
릉 110
 
8.3%
원 107
 
8.0%
시 104
 
7.8%
도 102
 
7.7%
동 69
 
5.2%
로 67
 
5.0%
길 42
 
3.2%
면 41
 
3.1%
곡 23
 
1.7%
Other values (107) 435
32.7%

지번주소
Text

Distinct94
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-13T03:12:31.617615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length18.205882
Min length13

Characters and Unicode

Total characters1857
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

Unique87 ?
Unique (%)85.3%

Sample

1st row강원도 강릉시 홍제동 1001
2nd row강원도 강릉시 사천면 미노리 440-1
3rd row강원도 강릉시 내곡동 413
4th row강원도 강릉시 주문진읍 주문리 1033
5th row강원도 강릉시 포남동 1117-14
ValueCountFrequency (%)
강원도 102
22.4%
강릉시 102
22.4%
강동면 12
 
2.6%
교동 10
 
2.2%
포남동 7
 
1.5%
홍제동 7
 
1.5%
사천면 7
 
1.5%
주문진읍 6
 
1.3%
연곡면 6
 
1.3%
노암동 5
 
1.1%
Other values (141) 192
42.1%
2023-12-13T03:12:32.232387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
19.1%
강 216
 
11.6%
도 104
 
5.6%
시 104
 
5.6%
릉 102
 
5.5%
원 102
 
5.5%
1 75
 
4.0%
동 74
 
4.0%
- 64
 
3.4%
3 56
 
3.0%
Other values (73) 606
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1070
57.6%
Decimal Number 369
 
19.9%
Space Separator 354
 
19.1%
Dash Punctuation 64
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 216
20.2%
도 104
9.7%
시 104
9.7%
릉 102
9.5%
원 102
9.5%
동 74
 
6.9%
리 47
 
4.4%
면 41
 
3.8%
산 23
 
2.1%
진 17
 
1.6%
Other values (61) 240
22.4%
Decimal Number
ValueCountFrequency (%)
1 75
20.3%
3 56
15.2%
2 47
12.7%
4 35
9.5%
5 34
9.2%
0 31
8.4%
6 27
 
7.3%
8 24
 
6.5%
9 23
 
6.2%
7 17
 
4.6%
Space Separator
ValueCountFrequency (%)
354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1070
57.6%
Common 787
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 216
20.2%
도 104
9.7%
시 104
9.7%
릉 102
9.5%
원 102
9.5%
동 74
 
6.9%
리 47
 
4.4%
면 41
 
3.8%
산 23
 
2.1%
진 17
 
1.6%
Other values (61) 240
22.4%
Common
ValueCountFrequency (%)
354
45.0%
1 75
 
9.5%
- 64
 
8.1%
3 56
 
7.1%
2 47
 
6.0%
4 35
 
4.4%
5 34
 
4.3%
0 31
 
3.9%
6 27
 
3.4%
8 24
 
3.0%
Other values (2) 40
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1070
57.6%
ASCII 787
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
45.0%
1 75
 
9.5%
- 64
 
8.1%
3 56
 
7.1%
2 47
 
6.0%
4 35
 
4.4%
5 34
 
4.3%
0 31
 
3.9%
6 27
 
3.4%
8 24
 
3.0%
Other values (2) 40
 
5.1%
Hangul
ValueCountFrequency (%)
강 216
20.2%
도 104
9.7%
시 104
9.7%
릉 102
9.5%
원 102
9.5%
동 74
 
6.9%
리 47
 
4.4%
면 41
 
3.8%
산 23
 
2.1%
진 17
 
1.6%
Other values (61) 240
22.4%

위도
Real number (ℝ)

Distinct95
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.757767
Minimum37.522088
Maximum37.894039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T03:12:32.436823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.522088
5-th percentile37.615332
Q137.729393
median37.761778
Q337.782426
95-th percentile37.880106
Maximum37.894039
Range0.37195044
Interquartile range (IQR)0.053032375

Descriptive statistics

Standard deviation0.068787324
Coefficient of variation (CV)0.0018218059
Kurtosis1.5879597
Mean37.757767
Median Absolute Deviation (MAD)0.026886995
Skewness-0.55073105
Sum3851.2922
Variance0.0047316959
MonotonicityNot monotonic
2023-12-13T03:12:32.625399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.75324012 3
 
2.9%
37.81826762 2
 
2.0%
37.89403851 2
 
2.0%
37.76323424 2
 
2.0%
37.72800452 2
 
2.0%
37.82379645 2
 
2.0%
37.71872003 1
 
1.0%
37.76797033 1
 
1.0%
37.7655456 1
 
1.0%
37.76013188 1
 
1.0%
Other values (85) 85
83.3%
ValueCountFrequency (%)
37.52208807 1
1.0%
37.57519207 1
1.0%
37.58104424 1
1.0%
37.58781556 1
1.0%
37.60907424 1
1.0%
37.61265627 1
1.0%
37.6661686 1
1.0%
37.67230355 1
1.0%
37.67267343 1
1.0%
37.68406373 1
1.0%
ValueCountFrequency (%)
37.89403851 2
2.0%
37.89058577 1
1.0%
37.8822265 1
1.0%
37.88162295 1
1.0%
37.8804106 1
1.0%
37.87432159 1
1.0%
37.87373252 1
1.0%
37.87285576 1
1.0%
37.85990217 1
1.0%
37.85981359 1
1.0%

경도
Real number (ℝ)

Distinct95
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.89549
Minimum128.69982
Maximum129.05415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T03:12:32.810127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.69982
5-th percentile128.82205
Q1128.8545
median128.89301
Q3128.91337
95-th percentile129.03438
Maximum129.05415
Range0.354333
Interquartile range (IQR)0.05886975

Descriptive statistics

Standard deviation0.062076344
Coefficient of variation (CV)0.00048160215
Kurtosis1.1793624
Mean128.89549
Median Absolute Deviation (MAD)0.0255417
Skewness0.5516531
Sum13147.34
Variance0.0038534724
MonotonicityNot monotonic
2023-12-13T03:12:32.993436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8753382 3
 
2.9%
128.8543788 2
 
2.0%
128.8233858 2
 
2.0%
128.9188344 2
 
2.0%
128.953917 2
 
2.0%
128.8486268 2
 
2.0%
128.8321006 1
 
1.0%
128.8923333 1
 
1.0%
128.874462 1
 
1.0%
128.9029072 1
 
1.0%
Other values (85) 85
83.3%
ValueCountFrequency (%)
128.6998174 1
1.0%
128.778202 1
1.0%
128.8040287 1
1.0%
128.8054991 1
1.0%
128.8191427 1
1.0%
128.8220537 1
1.0%
128.8220718 1
1.0%
128.8233858 2
2.0%
128.8287818 1
1.0%
128.8291791 1
1.0%
ValueCountFrequency (%)
129.0541504 1
1.0%
129.0419101 1
1.0%
129.0379328 1
1.0%
129.0376691 1
1.0%
129.0375283 1
1.0%
129.0343945 1
1.0%
129.0340659 1
1.0%
129.030134 1
1.0%
129.0044956 1
1.0%
128.9990541 1
1.0%

전화번호
Text

MISSING 

Distinct99
Distinct (%)99.0%
Missing2
Missing (%)2.0%
Memory size948.0 B
2023-12-13T03:12:33.264694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1200
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row033-660-2018
2nd row033-660-3161
3rd row033-660-3011
4th row033-660-3472
5th row033-660-2302
ValueCountFrequency (%)
033-660-3416 2
 
2.0%
033-660-3771 1
 
1.0%
033-660-3447 1
 
1.0%
033-660-3731 1
 
1.0%
033-660-3711 1
 
1.0%
033-660-3681 1
 
1.0%
033-660-3656 1
 
1.0%
033-660-3626 1
 
1.0%
033-660-3596 1
 
1.0%
033-660-3567 1
 
1.0%
Other values (89) 89
89.0%
2023-12-13T03:12:33.649052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 280
23.3%
0 211
17.6%
- 200
16.7%
6 186
15.5%
4 101
 
8.4%
5 53
 
4.4%
2 46
 
3.8%
1 45
 
3.8%
7 27
 
2.2%
8 26
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
83.3%
Dash Punctuation 200
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 280
28.0%
0 211
21.1%
6 186
18.6%
4 101
 
10.1%
5 53
 
5.3%
2 46
 
4.6%
1 45
 
4.5%
7 27
 
2.7%
8 26
 
2.6%
9 25
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 280
23.3%
0 211
17.6%
- 200
16.7%
6 186
15.5%
4 101
 
8.4%
5 53
 
4.4%
2 46
 
3.8%
1 45
 
3.8%
7 27
 
2.2%
8 26
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 280
23.3%
0 211
17.6%
- 200
16.7%
6 186
15.5%
4 101
 
8.4%
5 53
 
4.4%
2 46
 
3.8%
1 45
 
3.8%
7 27
 
2.2%
8 26
 
2.2%

홈페이지
Text

MISSING 

Distinct39
Distinct (%)60.9%
Missing38
Missing (%)37.3%
Memory size948.0 B
2023-12-13T03:12:33.920134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length33.59375
Min length21

Characters and Unicode

Total characters2150
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)48.4%

Sample

1st rowhttps://www.gn.go.kr/
2nd rowhttps://www.gn.go.kr/farm/index.do
3rd rowhttps://www.gn.go.kr/phc/index.do
4th rowhttps://www.gn.go.kr/phc/sub01_06.do
5th rowhttps://www.gn.go.kr/phc/sub01_07.do
ValueCountFrequency (%)
https://www.gn.go.kr/phc/sub01_08_02.do 9
 
14.1%
https://www.gn.go.kr/tour 6
 
9.4%
https://www.gn.go.kr/phc/sub01_08_01.do 6
 
9.4%
https://www.gangwon.to/gwtour 3
 
4.7%
https://www.gn.go.kr/aml 3
 
4.7%
https://www.gn.go.kr/gnyouth/index.do 2
 
3.1%
https://searoad.gtdc.or.kr 2
 
3.1%
https://www.gn.go.kr/museum/index.do 2
 
3.1%
https://www.dreamstart.go.kr/gwgn/index.asp 1
 
1.6%
https://www.gn.go.kr/gaf/index.do 1
 
1.6%
Other values (29) 29
45.3%
2023-12-13T03:12:34.305186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 243
 
11.3%
. 230
 
10.7%
w 188
 
8.7%
t 153
 
7.1%
g 131
 
6.1%
o 116
 
5.4%
p 109
 
5.1%
s 105
 
4.9%
r 96
 
4.5%
h 94
 
4.4%
Other values (27) 685
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1448
67.3%
Other Punctuation 537
 
25.0%
Decimal Number 125
 
5.8%
Connector Punctuation 40
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 188
13.0%
t 153
10.6%
g 131
9.0%
o 116
 
8.0%
p 109
 
7.5%
s 105
 
7.3%
r 96
 
6.6%
h 94
 
6.5%
n 85
 
5.9%
k 62
 
4.3%
Other values (14) 309
21.3%
Decimal Number
ValueCountFrequency (%)
0 51
40.8%
1 26
20.8%
8 16
 
12.8%
2 10
 
8.0%
4 10
 
8.0%
5 7
 
5.6%
7 2
 
1.6%
6 2
 
1.6%
3 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 243
45.3%
. 230
42.8%
: 64
 
11.9%
Connector Punctuation
ValueCountFrequency (%)
_ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1448
67.3%
Common 702
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 188
13.0%
t 153
10.6%
g 131
9.0%
o 116
 
8.0%
p 109
 
7.5%
s 105
 
7.3%
r 96
 
6.6%
h 94
 
6.5%
n 85
 
5.9%
k 62
 
4.3%
Other values (14) 309
21.3%
Common
ValueCountFrequency (%)
/ 243
34.6%
. 230
32.8%
: 64
 
9.1%
0 51
 
7.3%
_ 40
 
5.7%
1 26
 
3.7%
8 16
 
2.3%
2 10
 
1.4%
4 10
 
1.4%
5 7
 
1.0%
Other values (3) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 243
 
11.3%
. 230
 
10.7%
w 188
 
8.7%
t 153
 
7.1%
g 131
 
6.1%
o 116
 
5.4%
p 109
 
5.1%
s 105
 
4.9%
r 96
 
4.5%
h 94
 
4.4%
Other values (27) 685
31.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2021-09-07
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-07
2nd row2021-09-07
3rd row2021-09-07
4th row2021-09-07
5th row2021-09-07

Common Values

ValueCountFrequency (%)
2021-09-07 102
100.0%

Length

2023-12-13T03:12:34.437933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:12:34.554298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-07 102
100.0%

Interactions

2023-12-13T03:12:28.606141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:12:28.385297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:12:28.740213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:12:28.494583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:12:34.614569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명주소지번주소위도경도전화번호홈페이지
도로명주소1.0001.0001.0001.0000.9970.818
지번주소1.0001.0001.0001.0000.9960.000
위도1.0001.0001.0000.7201.0000.000
경도1.0001.0000.7201.0001.0000.000
전화번호0.9970.9961.0001.0001.0001.000
홈페이지0.8180.0000.0000.0001.0001.000
2023-12-13T03:12:34.714151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.442
경도-0.4421.000

Missing values

2023-12-13T03:12:29.203415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:12:29.368964image/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.
2023-12-13T03:12:29.494852image/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

행정기관명도로명주소지번주소위도경도전화번호홈페이지데이터기준일
0강릉시청강원도 강릉시 강릉대로 33 (홍제동)강원도 강릉시 홍제동 100137.75324128.875338033-660-2018https://www.gn.go.kr/2021-09-07
1농업기술센터강원도 강릉시 사천면 동해대로 3738-17강원도 강릉시 사천면 미노리 440-137.818268128.854379033-660-3161https://www.gn.go.kr/farm/index.do2021-09-07
2강릉시보건소강원도 강릉시 남부로17번길 38 (내곡동)강원도 강릉시 내곡동 41337.74285128.882738033-660-3011https://www.gn.go.kr/phc/index.do2021-09-07
3주문진통합보건지소강원도 강릉시 주문진읍 항구로 19강원도 강릉시 주문진읍 주문리 103337.894039128.823386033-660-3472https://www.gn.go.kr/phc/sub01_06.do2021-09-07
4동부도시보건지소강원도 강릉시 강릉대로313번길 6 (포남동)강원도 강릉시 포남동 1117-1437.764996128.901922033-660-2302https://www.gn.go.kr/phc/sub01_07.do2021-09-07
5남부건강생활지원센터강원도 강릉시 성덕포남로 80-22 (입암동)강원도 강릉시 입암동 5837.763234128.918834033-660-2481https://www.gn.go.kr/phc/sub01_10.do2021-09-07
6성산보건지소강원도 강릉시 성산면 구산길 20강원도 강릉시 성산면 구산리 186-337.718936128.832171033-641-9315https://www.gn.go.kr/phc/sub01_08_01.do2021-09-07
7왕산보건지소강원도 강릉시 왕산면 백두대간로 1991강원도 강릉시 왕산면 도마리 329-337.672304128.837771033-660-2340https://www.gn.go.kr/phc/sub01_08_01.do2021-09-07
8구정보건지소강원도 강릉시 구정면 새끼미길 99강원도 강릉시 구정면 여찬리 164-137.720427128.883447033-644-7913https://www.gn.go.kr/phc/sub01_08_01.do2021-09-07
9강동보건지소강원도 강릉시 강동면 율곡로 2208강원도 강릉시 강동면 상시동리 157-137.728005128.953917033-645-8837https://www.gn.go.kr/phc/sub01_08_01.do2021-09-07
행정기관명도로명주소지번주소위도경도전화번호홈페이지데이터기준일
92국민체육센터-볼링장강원도 강릉시 남부로 226(노암동)강원도 강릉시 노암동 산3537.741752128.906246033-646-0226<NA>2021-09-07
93숲사랑홍보관강원도 강릉시 사천면 미노길 1강원도 강릉시 사천면 덕실리 23-137.817027128.851514033-644-4852https://www.gangwon.to/gwtour2021-09-07
94모래시계공원강원도 강릉시 강동면 정동진리 569강원도 강릉시 강동면 정동진리 56937.687734129.037528033-640-4533<NA>2021-09-07
95강릉연곡캠핑장강원도 강릉시 연곡면 해안로 1282강원도 강릉시 연곡면 동덕리 99-337.859902128.852064033-662-2900https://camping.gtdc.or.kr/2021-09-07
96정동-심곡 바다부채길-정동매표소강원도 강릉시 강동면 헌화로 950-39 (정동매표소)강원도 강릉시 강동면 정동진리 50-1037.684064129.04191033-641-9444https://searoad.gtdc.or.kr/2021-09-07
97정동-심곡 바다부채길-심곡매표소강원도 강릉시 강동면 심곡리 114-3 (심곡매표소)강원도 강릉시 강동면 심곡리 114-337.666169129.05415033-641-9445https://searoad.gtdc.or.kr/2021-09-07
98강릉오죽한옥마을강원도 강릉시 죽헌길 114강원도 강릉시 죽헌동 11437.7775128.879575033-655-1117https://ojuk.gtdc.or.kr/2021-09-07
99(재)강릉과학산업진흥원강원도 강릉시 과학단지로 106-11강원도 강릉시 대전동 106-1137.803271128.854876033-650-3331http://www.gsif.or.kr2021-09-07
100강릉과학산업진흥원 해양바이오융합사업본부강원도 강릉시 사임당로 641-22강원도 강릉시 대전동 641-2237.796276128.855272033-650-3351<NA>2021-09-07
101(재)강릉문화재단강원도 강릉시 경강로2021번길 9-1(명주동,명주예술마당)강원도 강릉시 명주동 9-137.750402128.889807033-647-6800https://www.gncaf.or.kr/2021-09-07