Overview

Dataset statistics

Number of variables13
Number of observations47
Missing cells16
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory109.7 B

Variable types

Text5
Categorical3
DateTime2
Numeric3

Dataset

Description경상남도 거창군 평생교육기관 현황에 대한 데이터로 기관명, 유형, 지역, 기관설립일, 우편번호, 도로명주소, 지번주소, 전화번호, 홈페이지, 위도, 경도를 제공합니다.
Author경상남도 거창군
URLhttps://www.data.go.kr/data/15041012/fileData.do

Alerts

시도 has constant value ""Constant
지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호High correlation
기관설립일 has 6 (12.8%) missing valuesMissing
홈페이지 has 10 (21.3%) missing valuesMissing
기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:19:24.766055
Analysis finished2024-03-15 02:19:29.383407
Duration4.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-03-15T11:19:30.152361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.6382979
Min length5

Characters and Unicode

Total characters453
Distinct characters135
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

Unique47 ?
Unique (%)100.0%

Sample

1st row가북면 주민자치센터
2nd row가조면 주민자치센터
3rd row가조길벗경로대학
4th row동례리지역아동센터
5th row거창도서관
ValueCountFrequency (%)
주민자치센터 12
 
17.6%
평생교육원 2
 
2.9%
경남도립거창대학 2
 
2.9%
군민정보화교육 1
 
1.5%
거창군청소년문화의집 1
 
1.5%
거창군립한마음도서관 1
 
1.5%
거창군다문화가족지원센터 1
 
1.5%
거창군월성청소년수련원 1
 
1.5%
거창흥사단 1
 
1.5%
마리면 1
 
1.5%
Other values (45) 45
66.2%
2024-03-15T11:19:31.223609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
거 24
 
5.3%
창 24
 
5.3%
터 22
 
4.9%
21
 
4.6%
센 21
 
4.6%
군 13
 
2.9%
주 13
 
2.9%
민 13
 
2.9%
자 13
 
2.9%
치 12
 
2.6%
Other values (125) 277
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
93.4%
Space Separator 21
 
4.6%
Lowercase Letter 6
 
1.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 24
 
5.7%
창 24
 
5.7%
터 22
 
5.2%
센 21
 
5.0%
군 13
 
3.1%
주 13
 
3.1%
민 13
 
3.1%
자 13
 
3.1%
치 12
 
2.8%
면 11
 
2.6%
Other values (115) 257
60.8%
Lowercase Letter
ValueCountFrequency (%)
r 1
16.7%
e 1
16.7%
t 1
16.7%
a 1
16.7%
w 1
16.7%
k 1
16.7%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
93.4%
Common 24
 
5.3%
Latin 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 24
 
5.7%
창 24
 
5.7%
터 22
 
5.2%
센 21
 
5.0%
군 13
 
3.1%
주 13
 
3.1%
민 13
 
3.1%
자 13
 
3.1%
치 12
 
2.8%
면 11
 
2.6%
Other values (115) 257
60.8%
Latin
ValueCountFrequency (%)
r 1
16.7%
e 1
16.7%
t 1
16.7%
a 1
16.7%
w 1
16.7%
k 1
16.7%
Common
ValueCountFrequency (%)
21
87.5%
) 1
 
4.2%
( 1
 
4.2%
- 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
93.4%
ASCII 30
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
거 24
 
5.7%
창 24
 
5.7%
터 22
 
5.2%
센 21
 
5.0%
군 13
 
3.1%
주 13
 
3.1%
민 13
 
3.1%
자 13
 
3.1%
치 12
 
2.8%
면 11
 
2.6%
Other values (115) 257
60.8%
ASCII
ValueCountFrequency (%)
21
70.0%
) 1
 
3.3%
( 1
 
3.3%
r 1
 
3.3%
e 1
 
3.3%
t 1
 
3.3%
a 1
 
3.3%
w 1
 
3.3%
- 1
 
3.3%
k 1
 
3.3%

시설유형
Categorical

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size504.0 B
국가/지자체
25 
법인
12 
기타
6 
전문예술법인·단체
 
2
경상남도
 
1

Length

Max length9
Median length6
Mean length4.4893617
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row국가/지자체
2nd row국가/지자체
3rd row기타
4th row기타
5th row국가/지자체

Common Values

ValueCountFrequency (%)
국가/지자체 25
53.2%
법인 12
25.5%
기타 6
 
12.8%
전문예술법인·단체 2
 
4.3%
경상남도 1
 
2.1%
장연실 1
 
2.1%

Length

2024-03-15T11:19:31.468176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:19:31.699094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가/지자체 25
53.2%
법인 12
25.5%
기타 6
 
12.8%
전문예술법인·단체 2
 
4.3%
경상남도 1
 
2.1%
장연실 1
 
2.1%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size504.0 B
경상남도
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 47
100.0%

Length

2024-03-15T11:19:32.092411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:19:32.378002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 47
100.0%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size504.0 B
거창군
47 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거창군 47
100.0%

Length

2024-03-15T11:19:32.897142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:19:33.183704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거창군 47
100.0%

기관설립일
Date

MISSING 

Distinct38
Distinct (%)92.7%
Missing6
Missing (%)12.8%
Memory size504.0 B
Minimum1905-07-03 00:00:00
Maximum2018-08-06 00:00:00
2024-03-15T11:19:33.479784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:33.898462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50130.128
Minimum50100
Maximum50153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size551.0 B
2024-03-15T11:19:34.295939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50100
5-th percentile50103
Q150119
median50132
Q350143
95-th percentile50147
Maximum50153
Range53
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.341513
Coefficient of variation (CV)0.00028608571
Kurtosis-0.68029111
Mean50130.128
Median Absolute Deviation (MAD)12
Skewness-0.50502123
Sum2356116
Variance205.679
MonotonicityNot monotonic
2024-03-15T11:19:34.694475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
50147 6
 
12.8%
50133 5
 
10.6%
50130 3
 
6.4%
50132 3
 
6.4%
50141 2
 
4.3%
50144 2
 
4.3%
50103 2
 
4.3%
50118 2
 
4.3%
50123 2
 
4.3%
50111 2
 
4.3%
Other values (17) 18
38.3%
ValueCountFrequency (%)
50100 1
2.1%
50102 1
2.1%
50103 2
4.3%
50109 1
2.1%
50111 2
4.3%
50113 1
2.1%
50115 1
2.1%
50117 1
2.1%
50118 2
4.3%
50120 1
2.1%
ValueCountFrequency (%)
50153 1
 
2.1%
50148 1
 
2.1%
50147 6
12.8%
50145 2
 
4.3%
50144 2
 
4.3%
50142 1
 
2.1%
50141 2
 
4.3%
50138 1
 
2.1%
50135 1
 
2.1%
50134 1
 
2.1%

도로명주소
Text

Distinct44
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-03-15T11:19:35.707536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length30.87234
Min length19

Characters and Unicode

Total characters1451
Distinct characters130
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)87.2%

Sample

1st row경상남도 거창군 가북면 용암로 17-16 (우혜리 가북면사무소)
2nd row경상남도 거창군 가조면 장군봉1길 8 (마상리 가조면사무소)
3rd row경상남도 거창군 가조면 마상4길 61 (마상리 대한예수교장로회)
4th row경상남도 거창군 가조면 동례2길 26 (동례리 감리교회)
5th row경상남도 거창군 거창읍 하동1길 9 (중앙리 거창도서관)
ValueCountFrequency (%)
경상남도 47
 
15.3%
거창군 47
 
15.3%
거창읍 30
 
9.8%
상림리 4
 
1.3%
수남로 4
 
1.3%
대평리 4
 
1.3%
송정리 3
 
1.0%
중앙리 3
 
1.0%
거열로 3
 
1.0%
가조면 3
 
1.0%
Other values (130) 159
51.8%
2024-03-15T11:19:37.368428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
17.9%
거 102
 
7.0%
창 95
 
6.5%
상 64
 
4.4%
남 59
 
4.1%
도 54
 
3.7%
군 54
 
3.7%
경 49
 
3.4%
1 40
 
2.8%
리 39
 
2.7%
Other values (120) 635
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 952
65.6%
Space Separator 260
 
17.9%
Decimal Number 156
 
10.8%
Close Punctuation 37
 
2.5%
Open Punctuation 37
 
2.5%
Dash Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 102
 
10.7%
창 95
 
10.0%
상 64
 
6.7%
남 59
 
6.2%
도 54
 
5.7%
군 54
 
5.7%
경 49
 
5.1%
리 39
 
4.1%
로 35
 
3.7%
읍 31
 
3.3%
Other values (106) 370
38.9%
Decimal Number
ValueCountFrequency (%)
1 40
25.6%
2 20
12.8%
3 18
11.5%
6 17
10.9%
4 17
10.9%
0 15
 
9.6%
7 12
 
7.7%
9 7
 
4.5%
5 6
 
3.8%
8 4
 
2.6%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 952
65.6%
Common 499
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 102
 
10.7%
창 95
 
10.0%
상 64
 
6.7%
남 59
 
6.2%
도 54
 
5.7%
군 54
 
5.7%
경 49
 
5.1%
리 39
 
4.1%
로 35
 
3.7%
읍 31
 
3.3%
Other values (106) 370
38.9%
Common
ValueCountFrequency (%)
260
52.1%
1 40
 
8.0%
) 37
 
7.4%
( 37
 
7.4%
2 20
 
4.0%
3 18
 
3.6%
6 17
 
3.4%
4 17
 
3.4%
0 15
 
3.0%
7 12
 
2.4%
Other values (4) 26
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 952
65.6%
ASCII 499
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
52.1%
1 40
 
8.0%
) 37
 
7.4%
( 37
 
7.4%
2 20
 
4.0%
3 18
 
3.6%
6 17
 
3.4%
4 17
 
3.4%
0 15
 
3.0%
7 12
 
2.4%
Other values (4) 26
 
5.2%
Hangul
ValueCountFrequency (%)
거 102
 
10.7%
창 95
 
10.0%
상 64
 
6.7%
남 59
 
6.2%
도 54
 
5.7%
군 54
 
5.7%
경 49
 
5.1%
리 39
 
4.1%
로 35
 
3.7%
읍 31
 
3.3%
Other values (106) 370
38.9%

지번주소
Text

Distinct41
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-03-15T11:19:38.508925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.382979
Min length18

Characters and Unicode

Total characters1005
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

Unique35 ?
Unique (%)74.5%

Sample

1st row경상남도 거창군 가북면 우혜리 2090
2nd row경상남도 거창군 가조면 마상리 345-3
3rd row경상남도 거창군 가조면 마상리 861-2
4th row경상남도 거창군 가조면 동례리 1780
5th row경상남도 거창군 거창읍 중앙리 311
ValueCountFrequency (%)
경상남도 47
19.7%
거창군 47
19.7%
거창읍 30
 
12.6%
중앙리 7
 
2.9%
대평리 5
 
2.1%
장팔리 4
 
1.7%
대동리 4
 
1.7%
상림리 4
 
1.7%
송정리 3
 
1.3%
가조면 3
 
1.3%
Other values (68) 84
35.3%
2024-03-15T11:19:39.943917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
19.0%
거 77
 
7.7%
창 77
 
7.7%
상 57
 
5.7%
남 50
 
5.0%
리 48
 
4.8%
도 48
 
4.8%
경 47
 
4.7%
군 47
 
4.7%
읍 30
 
3.0%
Other values (57) 333
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
61.1%
Space Separator 191
 
19.0%
Decimal Number 170
 
16.9%
Dash Punctuation 30
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 77
12.5%
창 77
12.5%
상 57
9.3%
남 50
8.1%
리 48
7.8%
도 48
7.8%
경 47
7.7%
군 47
7.7%
읍 30
 
4.9%
면 17
 
2.8%
Other values (45) 116
18.9%
Decimal Number
ValueCountFrequency (%)
1 29
17.1%
3 25
14.7%
2 22
12.9%
7 20
11.8%
9 14
8.2%
4 14
8.2%
5 14
8.2%
0 13
7.6%
8 10
 
5.9%
6 9
 
5.3%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
61.1%
Common 391
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 77
12.5%
창 77
12.5%
상 57
9.3%
남 50
8.1%
리 48
7.8%
도 48
7.8%
경 47
7.7%
군 47
7.7%
읍 30
 
4.9%
면 17
 
2.8%
Other values (45) 116
18.9%
Common
ValueCountFrequency (%)
191
48.8%
- 30
 
7.7%
1 29
 
7.4%
3 25
 
6.4%
2 22
 
5.6%
7 20
 
5.1%
9 14
 
3.6%
4 14
 
3.6%
5 14
 
3.6%
0 13
 
3.3%
Other values (2) 19
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
61.1%
ASCII 391
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
48.8%
- 30
 
7.7%
1 29
 
7.4%
3 25
 
6.4%
2 22
 
5.6%
7 20
 
5.1%
9 14
 
3.6%
4 14
 
3.6%
5 14
 
3.6%
0 13
 
3.3%
Other values (2) 19
 
4.9%
Hangul
ValueCountFrequency (%)
거 77
12.5%
창 77
12.5%
상 57
9.3%
남 50
8.1%
리 48
7.8%
도 48
7.8%
경 47
7.7%
군 47
7.7%
읍 30
 
4.9%
면 17
 
2.8%
Other values (45) 116
18.9%

전화번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-03-15T11:19:40.839340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021277
Min length12

Characters and Unicode

Total characters565
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

Unique47 ?
Unique (%)100.0%

Sample

1st row055-940-7860
2nd row055-940-7810
3rd row055-942-1120
4th row055-943-6210
5th row055-944-8594
ValueCountFrequency (%)
055-940-7860 1
 
2.1%
055-254-2773 1
 
2.1%
055-949-2209 1
 
2.1%
055-940-8830 1
 
2.1%
055-940-8470 1
 
2.1%
055-945-1365 1
 
2.1%
055-945-1913 1
 
2.1%
055-943-2013 1
 
2.1%
055-940-7612 1
 
2.1%
070-7787-2009 1
 
2.1%
Other values (37) 37
78.7%
2024-03-15T11:19:42.132091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 112
19.8%
0 97
17.2%
- 94
16.6%
4 64
11.3%
9 54
9.6%
2 29
 
5.1%
7 28
 
5.0%
8 28
 
5.0%
1 21
 
3.7%
6 19
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 471
83.4%
Dash Punctuation 94
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 112
23.8%
0 97
20.6%
4 64
13.6%
9 54
11.5%
2 29
 
6.2%
7 28
 
5.9%
8 28
 
5.9%
1 21
 
4.5%
6 19
 
4.0%
3 19
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 112
19.8%
0 97
17.2%
- 94
16.6%
4 64
11.3%
9 54
9.6%
2 29
 
5.1%
7 28
 
5.0%
8 28
 
5.0%
1 21
 
3.7%
6 19
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 112
19.8%
0 97
17.2%
- 94
16.6%
4 64
11.3%
9 54
9.6%
2 29
 
5.1%
7 28
 
5.0%
8 28
 
5.0%
1 21
 
3.7%
6 19
 
3.4%

홈페이지
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing10
Missing (%)21.3%
Memory size504.0 B
2024-03-15T11:19:42.946207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length41
Mean length38.486486
Min length17

Characters and Unicode

Total characters1424
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st rowhttp://www.geochang.go.kr/town/Index.do?deptCd=d5470041
2nd rowhttp://www.geochang.go.kr/town/Index.do?deptCd=d5470040
3rd rowhttps://ion.or.kr/dongleli
4th rowhttp://gclib.gne.go.kr
5th rowhttp://www.geochang.go.kr/town/Index.do?deptCd=d5470030
ValueCountFrequency (%)
http://ilc.gc.ac.kr 1
 
2.7%
http://www.gc.ac.kr 1
 
2.7%
http://www.geochang.go.kr/town/index.do?deptcd=d5470036 1
 
2.7%
http://www.geochang.go.kr/town/index.do?deptcd=d5470034 1
 
2.7%
http://www.klc.ac.kr 1
 
2.7%
http://www.geochang.go.kr/gcyouth 1
 
2.7%
http://library.geochang.go.kr 1
 
2.7%
http://geochanggun.liveinkorea.kr 1
 
2.7%
https://moonstar.or.kr:47055/index.htm 1
 
2.7%
http://www.gcyka.or.kr 1
 
2.7%
Other values (27) 27
73.0%
2024-03-15T11:19:44.196880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 119
 
8.4%
. 117
 
8.2%
t 111
 
7.8%
o 93
 
6.5%
w 81
 
5.7%
g 78
 
5.5%
d 76
 
5.3%
e 70
 
4.9%
h 67
 
4.7%
n 63
 
4.4%
Other values (34) 549
38.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 973
68.3%
Other Punctuation 289
 
20.3%
Decimal Number 117
 
8.2%
Uppercase Letter 31
 
2.2%
Math Symbol 14
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 111
11.4%
o 93
9.6%
w 81
 
8.3%
g 78
 
8.0%
d 76
 
7.8%
e 70
 
7.2%
h 67
 
6.9%
n 63
 
6.5%
r 51
 
5.2%
p 51
 
5.2%
Other values (13) 232
23.8%
Decimal Number
ValueCountFrequency (%)
0 38
32.5%
5 17
14.5%
7 16
13.7%
4 16
13.7%
3 14
 
12.0%
9 5
 
4.3%
1 4
 
3.4%
8 3
 
2.6%
2 3
 
2.6%
6 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
/ 119
41.2%
. 117
40.5%
: 38
 
13.1%
? 13
 
4.5%
& 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
I 14
45.2%
C 13
41.9%
L 2
 
6.5%
W 1
 
3.2%
G 1
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1004
70.5%
Common 420
29.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 111
11.1%
o 93
 
9.3%
w 81
 
8.1%
g 78
 
7.8%
d 76
 
7.6%
e 70
 
7.0%
h 67
 
6.7%
n 63
 
6.3%
r 51
 
5.1%
p 51
 
5.1%
Other values (18) 263
26.2%
Common
ValueCountFrequency (%)
/ 119
28.3%
. 117
27.9%
: 38
 
9.0%
0 38
 
9.0%
5 17
 
4.0%
7 16
 
3.8%
4 16
 
3.8%
3 14
 
3.3%
= 14
 
3.3%
? 13
 
3.1%
Other values (6) 18
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1424
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 119
 
8.4%
. 117
 
8.2%
t 111
 
7.8%
o 93
 
6.5%
w 81
 
5.7%
g 78
 
5.5%
d 76
 
5.3%
e 70
 
4.9%
h 67
 
4.7%
n 63
 
4.4%
Other values (34) 549
38.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.700208
Minimum35.56768
Maximum35.814657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size551.0 B
2024-03-15T11:19:44.621801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.56768
5-th percentile35.665863
Q135.681807
median35.688402
Q335.704325
95-th percentile35.796746
Maximum35.814657
Range0.24697724
Interquartile range (IQR)0.02251792

Descriptive statistics

Standard deviation0.044878063
Coefficient of variation (CV)0.0012570813
Kurtosis2.231845
Mean35.700208
Median Absolute Deviation (MAD)0.01269203
Skewness0.72606745
Sum1677.9098
Variance0.0020140406
MonotonicityNot monotonic
2024-03-15T11:19:45.065674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.67430045 2
 
4.3%
35.81465725 2
 
4.3%
35.67320256 2
 
4.3%
35.68667584 2
 
4.3%
35.67353077 2
 
4.3%
35.68906475 2
 
4.3%
35.76278417 1
 
2.1%
35.76120302 1
 
2.1%
35.69352195 1
 
2.1%
35.70136779 1
 
2.1%
Other values (31) 31
66.0%
ValueCountFrequency (%)
35.56768001 1
2.1%
35.64298394 1
2.1%
35.66504891 1
2.1%
35.66776413 1
2.1%
35.67320256 2
4.3%
35.67353077 2
4.3%
35.67430045 2
4.3%
35.67570975 1
2.1%
35.6809354 1
2.1%
35.68267877 1
2.1%
ValueCountFrequency (%)
35.81465725 2
4.3%
35.80506424 1
2.1%
35.77733841 1
2.1%
35.77032346 1
2.1%
35.76278417 1
2.1%
35.76120302 1
2.1%
35.74961902 1
2.1%
35.74916739 1
2.1%
35.71091879 1
2.1%
35.70834607 1
2.1%

경도
Real number (ℝ)

Distinct41
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.90831
Minimum127.724
Maximum128.01469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size551.0 B
2024-03-15T11:19:45.462969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.724
5-th percentile127.82788
Q1127.90514
median127.91155
Q3127.91768
95-th percentile127.99725
Maximum128.01469
Range0.2906911
Interquartile range (IQR)0.012537

Descriptive statistics

Standard deviation0.047214005
Coefficient of variation (CV)0.00036912382
Kurtosis5.2005074
Mean127.90831
Median Absolute Deviation (MAD)0.0062341
Skewness-0.93923058
Sum6011.6907
Variance0.0022291623
MonotonicityNot monotonic
2024-03-15T11:19:45.880365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
127.9103127 2
 
4.3%
127.8716279 2
 
4.3%
127.9124187 2
 
4.3%
127.9095332 2
 
4.3%
127.9094196 2
 
4.3%
127.909834 2
 
4.3%
127.9932195 1
 
2.1%
127.724 1
 
2.1%
127.9189434 1
 
2.1%
127.8548814 1
 
2.1%
Other values (31) 31
66.0%
ValueCountFrequency (%)
127.724 1
2.1%
127.819173 1
2.1%
127.8256285 1
2.1%
127.8331298 1
2.1%
127.8548814 1
2.1%
127.8716279 2
4.3%
127.8887943 1
2.1%
127.8959636 1
2.1%
127.8987277 1
2.1%
127.9036746 1
2.1%
ValueCountFrequency (%)
128.0146911 1
2.1%
128.0146126 1
2.1%
127.9989741 1
2.1%
127.9932195 1
2.1%
127.9442132 1
2.1%
127.9436446 1
2.1%
127.9254213 1
2.1%
127.9220543 1
2.1%
127.9198774 1
2.1%
127.9197603 1
2.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size504.0 B
Minimum2024-01-01 00:00:00
Maximum2024-01-01 00:00:00
2024-03-15T11:19:46.231798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:46.533325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T11:19:27.428273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:25.969756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:26.729307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:27.673132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:26.224864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:27.013283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:27.918519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:26.475483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:19:27.237223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:19:46.759326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명시설유형기관설립일우편번호도로명주소지번주소전화번호홈페이지위도경도
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설유형1.0001.0000.9890.0001.0001.0001.0001.0000.0000.000
기관설립일1.0000.9891.0000.0000.9920.9771.0001.0000.9600.000
우편번호1.0000.0000.0001.0001.0001.0001.0001.0000.8380.974
도로명주소1.0001.0000.9921.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0000.9771.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.0000.9600.8381.0001.0001.0001.0001.0000.856
경도1.0000.0000.0000.9741.0001.0001.0001.0000.8561.000
2024-03-15T11:19:47.070760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도시설유형
우편번호1.000-0.8230.1990.000
위도-0.8231.000-0.1940.000
경도0.199-0.1941.0000.000
시설유형0.0000.0000.0001.000

Missing values

2024-03-15T11:19:28.288159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:19:28.898446image/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.
2024-03-15T11:19:29.240067image/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

기관명시설유형시도지역기관설립일우편번호도로명주소지번주소전화번호홈페이지위도경도데이터기준일자
0가북면 주민자치센터국가/지자체경상남도거창군2007-04-0950117경상남도 거창군 가북면 용암로 17-16 (우혜리 가북면사무소)경상남도 거창군 가북면 우혜리 2090055-940-7860http://www.geochang.go.kr/town/Index.do?deptCd=d547004135.762784127.9932192024-01-01
1가조면 주민자치센터국가/지자체경상남도거창군2004-11-2450118경상남도 거창군 가조면 장군봉1길 8 (마상리 가조면사무소)경상남도 거창군 가조면 마상리 345-3055-940-7810http://www.geochang.go.kr/town/Index.do?deptCd=d547004035.710919128.0146912024-01-01
2가조길벗경로대학기타경상남도거창군<NA>50118경상남도 거창군 가조면 마상4길 61 (마상리 대한예수교장로회)경상남도 거창군 가조면 마상리 861-2055-942-1120<NA>35.708346128.0146132024-01-01
3동례리지역아동센터기타경상남도거창군<NA>50120경상남도 거창군 가조면 동례2길 26 (동례리 감리교회)경상남도 거창군 가조면 동례리 1780055-943-6210https://ion.or.kr/dongleli35.707282127.9989742024-01-01
4거창도서관국가/지자체경상남도거창군1984-10-2350133경상남도 거창군 거창읍 하동1길 9 (중앙리 거창도서관)경상남도 거창군 거창읍 중앙리 311055-944-8594http://gclib.gne.go.kr35.687396127.9117152024-01-01
5거창읍 주민자치센터국가/지자체경상남도거창군2007-03-1450131경상남도 거창군 거창읍 거열로 90 (상림리 거창읍사무소)경상남도 거창군 거창읍 상림리 820055-940-7220http://www.geochang.go.kr/town/Index.do?deptCd=d547003035.68797127.9038612024-01-01
6거창지역자활센터법인경상남도거창군2012-12-3150145경상남도 거창군 거창읍 창동로 71-1 (대평리)경상남도 거창군 거창읍 대평리 1498-4055-942-9978https://blog.naver.com/arim997835.683835127.9220542024-01-01
7고제면 주민자치센터국가/지자체경상남도거창군2004-06-2350111경상남도 거창군 고제면 입석1길 14 (농산리 고제면사무소)경상남도 거창군 고제면 농산리 757-5055-940-7460http://www.geochang.go.kr/town/Index.do?deptCd=d547003335.814657127.8716282024-01-01
8고제높은들지역아동센터국가/지자체경상남도거창군<NA>50111경상남도 거창군 고제면 입석1길 14 (농산리 고제면사무소)경상남도 거창군 고제면 농산리 757-5055-942-1848https://ion.or.kr/highfield35.814657127.8716282024-01-01
9경남도립거창대학 국제협력원국가/지자체경상남도거창군2006-12-0150147경상남도 거창군 거창읍 거창대학로 72 (대평리 경상남도도립거창대학)경상남도 거창군 거창읍 대평리 1396055-254-2783http://ilc.gc.ac.kr35.673203127.9124192024-01-01
기관명시설유형시도지역기관설립일우편번호도로명주소지번주소전화번호홈페이지위도경도데이터기준일자
37군민정보화교육법인경상남도거창군2015-01-0150132경상남도 거창군 거창읍 중앙로 103 (상림리 거창군청)경상남도 거창군 거창읍 상림리 74-4055-940-3209http://educity.geochang.go.kr/03sub/031.asp35.686676127.9095332024-01-01
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