Overview

Dataset statistics

Number of variables10
Number of observations105
Missing cells130
Missing cells (%)12.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory85.3 B

Variable types

Numeric4
Categorical1
Text4
DateTime1

Dataset

Description광주광역시 광산구 관내 평생교육기관 현황(형태, 기관명칭, 프로그램 수, 프로그램 내용, 소재지도로명주소, 전화번호 등) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3082250/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 형태High correlation
프로그램수 is highly overall correlated with 형태High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
형태 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
프로그램수 has 67 (63.8%) missing valuesMissing
프로그램 has 61 (58.1%) missing valuesMissing
연락처 has 2 (1.9%) missing valuesMissing
연번 has unique valuesUnique
명칭 has unique valuesUnique
프로그램수 has 3 (2.9%) zerosZeros

Reproduction

Analysis started2023-12-12 03:57:46.855496
Analysis finished2023-12-12 03:57:50.298252
Duration3.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T12:57:50.402971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q127
median53
Q379
95-th percentile99.8
Maximum105
Range104
Interquartile range (IQR)52

Descriptive statistics

Standard deviation30.454885
Coefficient of variation (CV)0.57462047
Kurtosis-1.2
Mean53
Median Absolute Deviation (MAD)26
Skewness0
Sum5565
Variance927.5
MonotonicityStrictly increasing
2023-12-12T12:57:50.613286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
80 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
105 1
1.0%
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%

형태
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
도서관
25 
주민자치센터
21 
행복학습센터
10 
언론기관부설
6 
사업장부설
6 
Other values (15)
37 

Length

Max length14
Median length10
Mean length5.6095238
Min length2

Unique

Unique6 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
도서관 25
23.8%
주민자치센터 21
20.0%
행복학습센터 10
 
9.5%
언론기관부설 6
 
5.7%
사업장부설 6
 
5.7%
청소년관련시설 6
 
5.7%
문화예술교육 시설 및 단체 5
 
4.8%
기타 4
 
3.8%
종합사회복지관 4
 
3.8%
보건소 3
 
2.9%
Other values (10) 15
14.3%

Length

2023-12-12T12:57:50.848479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도서관 25
20.8%
주민자치센터 21
17.5%
행복학습센터 10
 
8.3%
언론기관부설 6
 
5.0%
사업장부설 6
 
5.0%
청소년관련시설 6
 
5.0%
문화예술교육 5
 
4.2%
시설 5
 
4.2%
및 5
 
4.2%
단체 5
 
4.2%
Other values (13) 26
21.7%

명칭
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T12:57:51.162372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length9.447619
Min length3

Characters and Unicode

Total characters992
Distinct characters191
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row엘림 행복학습센터
2nd row푹 행복학습센터
3rd row임곡 행복학습센터
4th row장자울휴먼시아 행복학습센터
5th row더나은 행복학습센터
ValueCountFrequency (%)
행복학습센터 10
 
7.0%
작은도서관 7
 
4.9%
광산구 6
 
4.2%
평생교육원 3
 
2.1%
청소년 3
 
2.1%
롯데마트 2
 
1.4%
문화센터 2
 
1.4%
다문화가족지원센터 1
 
0.7%
원당산청소년문화의집 1
 
0.7%
상담복지센터 1
 
0.7%
Other values (107) 107
74.8%
2023-12-12T12:57:52.074269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 50
 
5.0%
센 48
 
4.8%
38
 
3.8%
관 36
 
3.6%
도 32
 
3.2%
주 28
 
2.8%
광 25
 
2.5%
서 25
 
2.5%
동 24
 
2.4%
원 23
 
2.3%
Other values (181) 663
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 946
95.4%
Space Separator 38
 
3.8%
Decimal Number 6
 
0.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 50
 
5.3%
센 48
 
5.1%
관 36
 
3.8%
도 32
 
3.4%
주 28
 
3.0%
광 25
 
2.6%
서 25
 
2.6%
동 24
 
2.5%
원 23
 
2.4%
민 22
 
2.3%
Other values (176) 633
66.9%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 946
95.4%
Common 46
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 50
 
5.3%
센 48
 
5.1%
관 36
 
3.8%
도 32
 
3.4%
주 28
 
3.0%
광 25
 
2.6%
서 25
 
2.6%
동 24
 
2.5%
원 23
 
2.4%
민 22
 
2.3%
Other values (176) 633
66.9%
Common
ValueCountFrequency (%)
38
82.6%
1 3
 
6.5%
2 3
 
6.5%
( 1
 
2.2%
) 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 946
95.4%
ASCII 46
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 50
 
5.3%
센 48
 
5.1%
관 36
 
3.8%
도 32
 
3.4%
주 28
 
3.0%
광 25
 
2.6%
서 25
 
2.6%
동 24
 
2.5%
원 23
 
2.4%
민 22
 
2.3%
Other values (176) 633
66.9%
ASCII
ValueCountFrequency (%)
38
82.6%
1 3
 
6.5%
2 3
 
6.5%
( 1
 
2.2%
) 1
 
2.2%

프로그램수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct18
Distinct (%)47.4%
Missing67
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean32.421053
Minimum0
Maximum683
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T12:57:52.264775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q315.5
95-th percentile73.75
Maximum683
Range683
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation111.32413
Coefficient of variation (CV)3.4336987
Kurtosis33.841137
Mean32.421053
Median Absolute Deviation (MAD)2
Skewness5.6999719
Sum1232
Variance12393.061
MonotonicityNot monotonic
2023-12-12T12:57:52.435995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 7
 
6.7%
3 6
 
5.7%
2 5
 
4.8%
0 3
 
2.9%
7 2
 
1.9%
6 2
 
1.9%
23 2
 
1.9%
64 1
 
1.0%
24 1
 
1.0%
129 1
 
1.0%
Other values (8) 8
 
7.6%
(Missing) 67
63.8%
ValueCountFrequency (%)
0 3
2.9%
2 5
4.8%
3 6
5.7%
4 7
6.7%
5 1
 
1.0%
6 2
 
1.9%
7 2
 
1.9%
8 1
 
1.0%
14 1
 
1.0%
16 1
 
1.0%
ValueCountFrequency (%)
683 1
1.0%
129 1
1.0%
64 1
1.0%
61 1
1.0%
52 1
1.0%
48 1
1.0%
24 1
1.0%
23 2
1.9%
16 1
1.0%
14 1
1.0%

프로그램
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing61
Missing (%)58.1%
Memory size972.0 B
2023-12-12T12:57:52.698320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length26.5
Mean length16.727273
Min length7

Characters and Unicode

Total characters736
Distinct characters188
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row업사이클링, 리본공예전문가, 캘리그라피, 방과후 클레이공예지도사, 요리교실
2nd row요가, 그림책작가, 그림책만들기, 스마트폰 영상편집
3rd row마크라메, 라탄공예, 가죽공예, 코바늘, 3딩코딩, 프랑스자주, 스텐실공예
4th row청능향상, 시각발달, 쿠킹, 언어발달
5th row영어&중국어강사, 발성
ValueCountFrequency (%)
등 32
27.6%
업사이클링 4
 
3.4%
스마트폰 2
 
1.7%
캘리그라피 2
 
1.7%
생활공예/탁구 1
 
0.9%
방과후 1
 
0.9%
한글교실/영어교실/한문교실 1
 
0.9%
한국어교육/결혼이민자기초소양교육 1
 
0.9%
영어회화 1
 
0.9%
러시아어 1
 
0.9%
Other values (70) 70
60.3%
2023-12-12T12:57:53.124766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
9.8%
/ 39
 
5.3%
등 32
 
4.3%
, 32
 
4.3%
교 31
 
4.2%
실 24
 
3.3%
스 17
 
2.3%
어 12
 
1.6%
기 11
 
1.5%
사 11
 
1.5%
Other values (178) 455
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
79.9%
Space Separator 72
 
9.8%
Other Punctuation 72
 
9.8%
Uppercase Letter 3
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 32
 
5.4%
교 31
 
5.3%
실 24
 
4.1%
스 17
 
2.9%
어 12
 
2.0%
기 11
 
1.9%
사 11
 
1.9%
예 11
 
1.9%
공 10
 
1.7%
이 10
 
1.7%
Other values (171) 419
71.3%
Other Punctuation
ValueCountFrequency (%)
/ 39
54.2%
, 32
44.4%
& 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
P 2
66.7%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
72
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
79.9%
Common 145
 
19.7%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 32
 
5.4%
교 31
 
5.3%
실 24
 
4.1%
스 17
 
2.9%
어 12
 
2.0%
기 11
 
1.9%
사 11
 
1.9%
예 11
 
1.9%
공 10
 
1.7%
이 10
 
1.7%
Other values (171) 419
71.3%
Common
ValueCountFrequency (%)
72
49.7%
/ 39
26.9%
, 32
22.1%
& 1
 
0.7%
3 1
 
0.7%
Latin
ValueCountFrequency (%)
P 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
79.9%
ASCII 148
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
48.6%
/ 39
26.4%
, 32
21.6%
P 2
 
1.4%
O 1
 
0.7%
& 1
 
0.7%
3 1
 
0.7%
Hangul
ValueCountFrequency (%)
등 32
 
5.4%
교 31
 
5.3%
실 24
 
4.1%
스 17
 
2.9%
어 12
 
2.0%
기 11
 
1.9%
사 11
 
1.9%
예 11
 
1.9%
공 10
 
1.7%
이 10
 
1.7%
Other values (171) 419
71.3%

주소
Text

Distinct95
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-12T12:57:53.447308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length20.638095
Min length15

Characters and Unicode

Total characters2167
Distinct characters102
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

Unique86 ?
Unique (%)81.9%

Sample

1st row광주광역시 광산구 월계로 86-1, 2층
2nd row광주광역시 광산구 북문대로 419번길 60 1층
3rd row광주광역시 광산구 고봉로788(임곡동)
4th row광주광역시 광산구 풍영로 145번길 43
5th row광주광역시 광산구 장신로136 7층
ValueCountFrequency (%)
광주광역시 105
23.8%
광산구 105
23.8%
2층 7
 
1.6%
무진대로 5
 
1.1%
4층 5
 
1.1%
15 5
 
1.1%
1층 4
 
0.9%
첨단중앙로 3
 
0.7%
광산로29번길 3
 
0.7%
사암로 3
 
0.7%
Other values (158) 196
44.4%
2023-12-12T12:57:53.966429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
15.5%
광 322
14.9%
산 119
 
5.5%
주 106
 
4.9%
역 105
 
4.8%
시 105
 
4.8%
구 105
 
4.8%
로 100
 
4.6%
2 80
 
3.7%
1 78
 
3.6%
Other values (92) 711
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1366
63.0%
Decimal Number 423
 
19.5%
Space Separator 336
 
15.5%
Dash Punctuation 22
 
1.0%
Other Punctuation 16
 
0.7%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 322
23.6%
산 119
 
8.7%
주 106
 
7.8%
역 105
 
7.7%
시 105
 
7.7%
구 105
 
7.7%
로 100
 
7.3%
길 54
 
4.0%
번 50
 
3.7%
대 23
 
1.7%
Other values (77) 277
20.3%
Decimal Number
ValueCountFrequency (%)
2 80
18.9%
1 78
18.4%
5 44
10.4%
3 38
9.0%
6 37
8.7%
4 34
8.0%
9 33
7.8%
7 29
 
6.9%
8 29
 
6.9%
0 21
 
5.0%
Space Separator
ValueCountFrequency (%)
336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1366
63.0%
Common 801
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 322
23.6%
산 119
 
8.7%
주 106
 
7.8%
역 105
 
7.7%
시 105
 
7.7%
구 105
 
7.7%
로 100
 
7.3%
길 54
 
4.0%
번 50
 
3.7%
대 23
 
1.7%
Other values (77) 277
20.3%
Common
ValueCountFrequency (%)
336
41.9%
2 80
 
10.0%
1 78
 
9.7%
5 44
 
5.5%
3 38
 
4.7%
6 37
 
4.6%
4 34
 
4.2%
9 33
 
4.1%
7 29
 
3.6%
8 29
 
3.6%
Other values (5) 63
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1366
63.0%
ASCII 801
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
41.9%
2 80
 
10.0%
1 78
 
9.7%
5 44
 
5.5%
3 38
 
4.7%
6 37
 
4.6%
4 34
 
4.2%
9 33
 
4.1%
7 29
 
3.6%
8 29
 
3.6%
Other values (5) 63
 
7.9%
Hangul
ValueCountFrequency (%)
광 322
23.6%
산 119
 
8.7%
주 106
 
7.8%
역 105
 
7.7%
시 105
 
7.7%
구 105
 
7.7%
로 100
 
7.3%
길 54
 
4.0%
번 50
 
3.7%
대 23
 
1.7%
Other values (77) 277
20.3%

연락처
Text

MISSING 

Distinct88
Distinct (%)85.4%
Missing2
Missing (%)1.9%
Memory size972.0 B
2023-12-12T12:57:54.276999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.970874
Min length9

Characters and Unicode

Total characters1233
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

Unique82 ?
Unique (%)79.6%

Sample

1st row062-960-8285
2nd row062-960-8285
3rd row062-960-8285
4th row062-960-8285
5th row062-960-8285
ValueCountFrequency (%)
062-960-8285 11
 
10.7%
062-958-7572 2
 
1.9%
062-962-9130 2
 
1.9%
062-971-9500 2
 
1.9%
062-954-3091 2
 
1.9%
062-604-8000 2
 
1.9%
062-951-1378 1
 
1.0%
062-960-7672 1
 
1.0%
062-960-8811 1
 
1.0%
062-960-9935 1
 
1.0%
Other values (78) 78
75.7%
2023-12-12T12:57:54.788871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 210
17.0%
- 205
16.6%
6 192
15.6%
2 158
12.8%
9 122
9.9%
7 73
 
5.9%
8 71
 
5.8%
5 68
 
5.5%
3 50
 
4.1%
1 44
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1028
83.4%
Dash Punctuation 205
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 210
20.4%
6 192
18.7%
2 158
15.4%
9 122
11.9%
7 73
 
7.1%
8 71
 
6.9%
5 68
 
6.6%
3 50
 
4.9%
1 44
 
4.3%
4 40
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1233
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 210
17.0%
- 205
16.6%
6 192
15.6%
2 158
12.8%
9 122
9.9%
7 73
 
5.9%
8 71
 
5.8%
5 68
 
5.5%
3 50
 
4.1%
1 44
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 210
17.0%
- 205
16.6%
6 192
15.6%
2 158
12.8%
9 122
9.9%
7 73
 
5.9%
8 71
 
5.8%
5 68
 
5.5%
3 50
 
4.1%
1 44
 
3.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.175704
Minimum35.098395
Maximum35.222266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T12:57:55.091305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.098395
5-th percentile35.130582
Q135.160659
median35.176205
Q335.19214
95-th percentile35.219527
Maximum35.222266
Range0.12387069
Interquartile range (IQR)0.031480358

Descriptive statistics

Standard deviation0.027168654
Coefficient of variation (CV)0.00077236987
Kurtosis-0.36601261
Mean35.175704
Median Absolute Deviation (MAD)0.01593473
Skewness-0.22085256
Sum3693.4489
Variance0.00073813575
MonotonicityNot monotonic
2023-12-12T12:57:55.315296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.2195270753685 3
 
2.9%
35.1970739751176 2
 
1.9%
35.1396474365046 2
 
1.9%
35.1795446373045 2
 
1.9%
35.1635028985109 2
 
1.9%
35.1912328396163 2
 
1.9%
35.1606592950895 2
 
1.9%
35.2222280689038 2
 
1.9%
35.174354417094 2
 
1.9%
35.14248372297 2
 
1.9%
Other values (79) 84
80.0%
ValueCountFrequency (%)
35.0983950523563 1
1.0%
35.1213973512976 1
1.0%
35.1245244105249 2
1.9%
35.1285286314483 1
1.0%
35.1295127243452 1
1.0%
35.1348587162625 1
1.0%
35.1353821932394 1
1.0%
35.1390915382602 1
1.0%
35.1396474365046 2
1.9%
35.1403875313701 1
1.0%
ValueCountFrequency (%)
35.2222657473363 1
 
1.0%
35.2222280689038 2
1.9%
35.2195984826775 2
1.9%
35.2195270753685 3
2.9%
35.2169021041197 1
 
1.0%
35.2167748780346 1
 
1.0%
35.2162433487182 1
 
1.0%
35.214806567967 1
 
1.0%
35.2133781270712 1
 
1.0%
35.2127602805368 1
 
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.80875
Minimum126.66299
Maximum126.85315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T12:57:55.525873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.66299
5-th percentile126.74792
Q1126.79978
median126.81062
Q3126.82573
95-th percentile126.84425
Maximum126.85315
Range0.19015942
Interquartile range (IQR)0.025948638

Descriptive statistics

Standard deviation0.030089455
Coefficient of variation (CV)0.00023728216
Kurtosis6.2060564
Mean126.80875
Median Absolute Deviation (MAD)0.013811505
Skewness-1.9139004
Sum13314.919
Variance0.0009053753
MonotonicityNot monotonic
2023-12-12T12:57:55.743422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.842363554305 3
 
2.9%
126.825730886332 2
 
1.9%
126.79364427408 2
 
1.9%
126.800011155357 2
 
1.9%
126.804462526144 2
 
1.9%
126.816333247427 2
 
1.9%
126.807614994956 2
 
1.9%
126.844251438999 2
 
1.9%
126.808010755798 2
 
1.9%
126.79511720186 2
 
1.9%
Other values (79) 84
80.0%
ValueCountFrequency (%)
126.662990090668 1
1.0%
126.69757945813 1
1.0%
126.728559647736 1
1.0%
126.743299612615 1
1.0%
126.74479017612 2
1.9%
126.760434222581 2
1.9%
126.76095548191 1
1.0%
126.772085714118 1
1.0%
126.77989513699 1
1.0%
126.79088222594 1
1.0%
ValueCountFrequency (%)
126.853149506499 1
 
1.0%
126.851917253723 1
 
1.0%
126.846188623007 2
1.9%
126.845968539446 1
 
1.0%
126.844251438999 2
1.9%
126.843321055098 1
 
1.0%
126.842363554305 3
2.9%
126.842258172223 1
 
1.0%
126.840712460514 1
 
1.0%
126.839325052422 1
 
1.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T12:57:55.911481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:56.038973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:57:49.371424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:47.916224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.370501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.867321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:49.489919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.022297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.508622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.982937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:49.625105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.140715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.649010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:49.101547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:49.739464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.255807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:48.756078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:49.235538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:57:56.133953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번형태프로그램수프로그램주소연락처위도경도
연번1.0000.9820.0001.0000.8670.9890.4400.117
형태0.9821.0000.9491.0000.9010.9450.0000.000
프로그램수0.0000.9491.0001.0001.0000.0000.3970.000
프로그램1.0001.0001.0001.0001.0001.0001.0001.000
주소0.8670.9011.0001.0001.0000.9781.0001.000
연락처0.9890.9450.0001.0000.9781.0000.0000.000
위도0.4400.0000.3971.0001.0000.0001.0000.691
경도0.1170.0000.0001.0001.0000.0000.6911.000
2023-12-12T12:57:56.256437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번프로그램수위도경도형태
연번1.0000.0750.0460.1860.734
프로그램수0.0751.0000.1490.2750.693
위도0.0460.1491.0000.7720.000
경도0.1860.2750.7721.0000.000
형태0.7340.6930.0000.0001.000

Missing values

2023-12-12T12:57:49.889239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:57:50.079469image/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.
2023-12-12T12:57:50.230684image/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

연번형태명칭프로그램수프로그램주소연락처위도경도데이터기준일자
01행복학습센터엘림 행복학습센터5업사이클링, 리본공예전문가, 캘리그라피, 방과후 클레이공예지도사, 요리교실광주광역시 광산구 월계로 86-1, 2층062-960-828535.212648126.8353842022-12-31
12행복학습센터푹 행복학습센터4요가, 그림책작가, 그림책만들기, 스마트폰 영상편집광주광역시 광산구 북문대로 419번길 60 1층062-960-828535.192592126.8459692022-12-31
23행복학습센터임곡 행복학습센터<NA><NA>광주광역시 광산구 고봉로788(임곡동)062-960-828535.219598126.744792022-12-31
34행복학습센터장자울휴먼시아 행복학습센터7마크라메, 라탄공예, 가죽공예, 코바늘, 3딩코딩, 프랑스자주, 스텐실공예광주광역시 광산구 풍영로 145번길 43062-960-828535.184028126.8107862022-12-31
45행복학습센터더나은 행복학습센터4청능향상, 시각발달, 쿠킹, 언어발달광주광역시 광산구 장신로136 7층062-960-828535.190406126.825052022-12-31
56행복학습센터다 행복학습센터3영어&중국어강사, 발성광주광역시 광산구 월곡중앙로14번길 19062-960-828535.167582126.8117942022-12-31
67행복학습센터삼도랑반디랑 행복학습센터4업사이클링, 손글씨, 도자기공예, 농산물 활용요리광주광역시 광산구 송암길 66062-960-828535.165408126.662992022-12-31
78행복학습센터드림 행복학습센터4컴퓨터자격증, 문해교육, 음식문화교실, 풍물난타광주광역시 광산구 평동로 790 드림센터062-960-828535.124524126.7604342022-12-31
89행복학습센터손수 행복학습센터3업사이클링, 스마트폰 영상제작, 생활안전교육광주광역시 광산구 소촌로46번길 15062-960-828535.149333126.7948992022-12-31
910행복학습센터하남동캠프 행복학습센터4환경교육, 양말목공예, 천연제품자수공예, 업사이클링광주광역시 광산구 풍영로101번길 22(흑석동)062-960-828535.181465126.8117552022-12-31
연번형태명칭프로그램수프로그램주소연락처위도경도데이터기준일자
9596지식인력개발사업관련한국교육진흥원<NA><NA>광주광역시 광산구 장신로265번길 29, 3층062-526-071535.19214126.8391172022-12-31
9697언론기관부설첨단평생교육원<NA><NA>광주광역시 광산구 첨단내촌로70번길 55, 4층 402호062-974-430935.213378126.8393252022-12-31
9798언론기관부설첨단겨자씨문화센터<NA><NA>광주광역시 광산구 첨단강변로 94, 1층<NA>35.214807126.853152022-12-31
9899언론기관부설더센터오브필라테스(광주수완점)평생교육원<NA><NA>광주광역시 광산구 장신로 85, 9층<NA>35.191187126.8194492022-12-31
99100언론기관부설다올필라테스우산점평생교육원<NA><NA>광주광역시 광산구 사암로216번길 38-6062-954-888235.163027126.8103642022-12-31
100101언론기관부설다올필라테스수완운남점평생교육원<NA><NA>광주광역시 광산구 임방울대로 210, 4층062-953-422235.17998126.8181832022-12-31
101102언론기관부설다올필라테스월곡점평생교육원<NA><NA>광주광역시 광산구 풍영로 47, 3층062-954-233335.176205126.8114682022-12-31
102103시민사회단체부설행복평생교육원<NA><NA>광주광역시 광산구 목련로 372-39062-959-000535.180283126.8354362022-12-31
103104원격평생교육시설아람원격평생교육원<NA><NA>광주광역시 광산구 박뫼길 11-6062-953-624335.168554126.74332022-12-31
104105원격평생교육시설광주보건대학교원격평생교육원<NA><NA>광주광역시 광산구 북문대로419번길 73, 1층062-958-757235.191695126.8461892022-12-31