Overview

Dataset statistics

Number of variables14
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory119.2 B

Variable types

Numeric5
Categorical7
Text2

Dataset

Description서울특별시 광진구 자치회관 교육 강좌 프로그램 현황자료(자치회관 위치, 프로그램명, 강의기간, 강의시간, 강의요일, 수강료, 수강대상, 정원)
URLhttps://www.data.go.kr/data/15037963/fileData.do

Alerts

강의기간 has constant value ""Constant
온라인정원 has constant value ""Constant
강의장소(주소) is highly overall correlated with 연번 and 3 other fieldsHigh correlation
행정동 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 강의장소(위도) and 2 other fieldsHigh correlation
방문정원 is highly overall correlated with 수강인원 and 2 other fieldsHigh correlation
수강인원 is highly overall correlated with 방문정원 and 2 other fieldsHigh correlation
강의장소(위도) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
강의장소(경도) is highly overall correlated with 행정동 and 1 other fieldsHigh correlation
강의요일 is highly overall correlated with 방문정원 and 1 other fieldsHigh correlation
수강료 is highly overall correlated with 방문정원 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:18:45.813055
Analysis finished2023-12-12 17:18:50.069985
Duration4.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:18:50.160395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2023-12-13T02:18:50.319946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

행정동
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
자양4동
12 
중곡2동
11 
광장동
11 
자양2동
11 
중곡4동
10 
Other values (10)
55 

Length

Max length4
Median length4
Mean length3.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중곡1동
2nd row중곡1동
3rd row중곡1동
4th row중곡1동
5th row중곡1동

Common Values

ValueCountFrequency (%)
자양4동 12
10.9%
중곡2동 11
10.0%
광장동 11
10.0%
자양2동 11
10.0%
중곡4동 10
9.1%
자양3동 10
9.1%
능동 7
 
6.4%
중곡1동 6
 
5.5%
중곡3동 6
 
5.5%
자양1동 6
 
5.5%
Other values (5) 20
18.2%

Length

2023-12-13T02:18:50.452236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자양4동 12
10.9%
중곡2동 11
10.0%
광장동 11
10.0%
자양2동 11
10.0%
중곡4동 10
9.1%
자양3동 10
9.1%
능동 7
 
6.4%
중곡1동 6
 
5.5%
중곡3동 6
 
5.5%
자양1동 6
 
5.5%
Other values (5) 20
18.2%

프로그램명
Text

Distinct77
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-13T02:18:50.699020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.6090909
Min length2

Characters and Unicode

Total characters617
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)53.6%

Sample

1st row국선도
2nd row댄스스포츠
3rd row요가
4th row탁구
5th row피부관리
ValueCountFrequency (%)
노래교실 7
 
5.6%
탁구교실 5
 
4.0%
a 5
 
4.0%
스포츠댄스(초급 4
 
3.2%
댄스스포츠 4
 
3.2%
줌바댄스 4
 
3.2%
요가 4
 
3.2%
탁구 4
 
3.2%
어린이 4
 
3.2%
라인댄스 3
 
2.4%
Other values (68) 82
65.1%
2023-12-13T02:18:51.104710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 46
 
7.5%
요 33
 
5.3%
가 33
 
5.3%
교 31
 
5.0%
실 30
 
4.9%
댄 28
 
4.5%
( 26
 
4.2%
) 26
 
4.2%
18
 
2.9%
포 15
 
2.4%
Other values (103) 331
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
82.0%
Open Punctuation 26
 
4.2%
Close Punctuation 26
 
4.2%
Decimal Number 21
 
3.4%
Uppercase Letter 19
 
3.1%
Space Separator 18
 
2.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 46
 
9.1%
요 33
 
6.5%
가 33
 
6.5%
교 31
 
6.1%
실 30
 
5.9%
댄 28
 
5.5%
포 15
 
3.0%
츠 15
 
3.0%
급 14
 
2.8%
어 13
 
2.6%
Other values (90) 248
49.0%
Decimal Number
ValueCountFrequency (%)
2 9
42.9%
1 9
42.9%
9 1
 
4.8%
0 1
 
4.8%
3 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 9
47.4%
B 6
31.6%
C 2
 
10.5%
D 2
 
10.5%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
82.0%
Common 92
 
14.9%
Latin 19
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 46
 
9.1%
요 33
 
6.5%
가 33
 
6.5%
교 31
 
6.1%
실 30
 
5.9%
댄 28
 
5.5%
포 15
 
3.0%
츠 15
 
3.0%
급 14
 
2.8%
어 13
 
2.6%
Other values (90) 248
49.0%
Common
ValueCountFrequency (%)
( 26
28.3%
) 26
28.3%
18
19.6%
2 9
 
9.8%
1 9
 
9.8%
9 1
 
1.1%
· 1
 
1.1%
0 1
 
1.1%
3 1
 
1.1%
Latin
ValueCountFrequency (%)
A 9
47.4%
B 6
31.6%
C 2
 
10.5%
D 2
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
82.0%
ASCII 110
 
17.8%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 46
 
9.1%
요 33
 
6.5%
가 33
 
6.5%
교 31
 
6.1%
실 30
 
5.9%
댄 28
 
5.5%
포 15
 
3.0%
츠 15
 
3.0%
급 14
 
2.8%
어 13
 
2.6%
Other values (90) 248
49.0%
ASCII
ValueCountFrequency (%)
( 26
23.6%
) 26
23.6%
18
16.4%
A 9
 
8.2%
2 9
 
8.2%
1 9
 
8.2%
B 6
 
5.5%
C 2
 
1.8%
D 2
 
1.8%
9 1
 
0.9%
Other values (2) 2
 
1.8%
None
ValueCountFrequency (%)
· 1
100.0%

강의기간
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-01-01 ~ 2023-12-31
110 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01 ~ 2023-12-31
2nd row2023-01-01 ~ 2023-12-31
3rd row2023-01-01 ~ 2023-12-31
4th row2023-01-01 ~ 2023-12-31
5th row2023-01-01 ~ 2023-12-31

Common Values

ValueCountFrequency (%)
2023-01-01 ~ 2023-12-31 110
100.0%

Length

2023-12-13T02:18:51.244135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:51.346269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 110
33.3%
110
33.3%
2023-12-31 110
33.3%

강의시간
Text

Distinct59
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-13T02:18:51.556126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length11
Mean length11.481818
Min length10

Characters and Unicode

Total characters1263
Distinct characters20
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

Unique35 ?
Unique (%)31.8%

Sample

1st row08:30~09:30
2nd row13:00~14:00
3rd row14:00~15:30
4th row10:00~12:00
5th row10:00~12:00
ValueCountFrequency (%)
10:00~12:00 12
 
10.3%
13:00~15:00 6
 
5.1%
15:00~16:30 5
 
4.3%
16:00~17:00 5
 
4.3%
09:00~10:00 4
 
3.4%
10:30~12:30 4
 
3.4%
10:00~11:00 4
 
3.4%
14:00~16:00 3
 
2.6%
11:30~12:30 3
 
2.6%
17:00~18:00 3
 
2.6%
Other values (52) 68
58.1%
2023-12-13T02:18:51.940082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 422
33.4%
1 227
18.0%
: 226
17.9%
~ 113
 
8.9%
3 81
 
6.4%
2 49
 
3.9%
5 30
 
2.4%
4 24
 
1.9%
9 22
 
1.7%
6 20
 
1.6%
Other values (10) 49
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 902
71.4%
Other Punctuation 230
 
18.2%
Math Symbol 113
 
8.9%
Space Separator 7
 
0.6%
Other Letter 7
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 422
46.8%
1 227
25.2%
3 81
 
9.0%
2 49
 
5.4%
5 30
 
3.3%
4 24
 
2.7%
9 22
 
2.4%
6 20
 
2.2%
7 14
 
1.6%
8 13
 
1.4%
Other Letter
ValueCountFrequency (%)
목 3
42.9%
월 2
28.6%
수 1
 
14.3%
화 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
: 226
98.3%
, 4
 
1.7%
Math Symbol
ValueCountFrequency (%)
~ 113
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1256
99.4%
Hangul 7
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 422
33.6%
1 227
18.1%
: 226
18.0%
~ 113
 
9.0%
3 81
 
6.4%
2 49
 
3.9%
5 30
 
2.4%
4 24
 
1.9%
9 22
 
1.8%
6 20
 
1.6%
Other values (6) 42
 
3.3%
Hangul
ValueCountFrequency (%)
목 3
42.9%
월 2
28.6%
수 1
 
14.3%
화 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1256
99.4%
Hangul 7
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 422
33.6%
1 227
18.1%
: 226
18.0%
~ 113
 
9.0%
3 81
 
6.4%
2 49
 
3.9%
5 30
 
2.4%
4 24
 
1.9%
9 22
 
1.8%
6 20
 
1.6%
Other values (6) 42
 
3.3%
Hangul
ValueCountFrequency (%)
목 3
42.9%
월 2
28.6%
수 1
 
14.3%
화 1
 
14.3%

강의요일
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
화, 목
23 
월, 수
10 
금
8 
화,목
7 
<NA>
6 
Other values (26)
56 

Length

Max length7
Median length5
Mean length3.2363636
Min length1

Unique

Unique14 ?
Unique (%)12.7%

Sample

1st row월,수,목,금
2nd row월,수
3rd row화,목
4th row월,금
5th row화,목

Common Values

ValueCountFrequency (%)
화, 목 23
20.9%
월, 수 10
 
9.1%
금 8
 
7.3%
화,목 7
 
6.4%
<NA> 6
 
5.5%
수 6
 
5.5%
월,수 5
 
4.5%
목 5
 
4.5%
월, 수, 금 4
 
3.6%
화 4
 
3.6%
Other values (21) 32
29.1%

Length

2023-12-13T02:18:52.074634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
목 33
20.2%
화 32
19.6%
수 26
16.0%
월 22
13.5%
금 18
11.0%
화,목 7
 
4.3%
na 6
 
3.7%
월,수 5
 
3.1%
월,수,금 2
 
1.2%
월~금 2
 
1.2%
Other values (9) 10
 
6.1%

수강료
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
18000
28 
20000
25 
17000
14 
24000
12 
14000
9 
Other values (9)
22 

Length

Max length9
Median length5
Mean length4.9272727
Min length2

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st row24000
2nd row18000
3rd row20000
4th row25000
5th row18000

Common Values

ValueCountFrequency (%)
18000 28
25.5%
20000 25
22.7%
17000 14
12.7%
24000 12
10.9%
14000 9
 
8.2%
25000 4
 
3.6%
무료 4
 
3.6%
27000 4
 
3.6%
30000 2
 
1.8%
26000 2
 
1.8%
Other values (4) 6
 
5.5%

Length

2023-12-13T02:18:52.194553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18000 28
25.2%
20000 25
22.5%
17000 14
12.6%
24000 12
10.8%
14000 9
 
8.1%
25000 4
 
3.6%
무료 4
 
3.6%
27000 4
 
3.6%
30000 2
 
1.8%
26000 2
 
1.8%
Other values (5) 7
 
6.3%

수강대상
Categorical

Distinct9
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
성인
77 
일반
11 
어린이
8 
누구나
 
5
일반남녀
 
4
Other values (4)
 
5

Length

Max length5
Median length2
Mean length2.2909091
Min length2

Unique

Unique3 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
성인 77
70.0%
일반 11
 
10.0%
어린이 8
 
7.3%
누구나 5
 
4.5%
일반남녀 4
 
3.6%
65세이상 2
 
1.8%
성인여성 1
 
0.9%
취약계층 1
 
0.9%
외국인 1
 
0.9%

Length

2023-12-13T02:18:52.315100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:52.428491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 77
70.0%
일반 11
 
10.0%
어린이 8
 
7.3%
누구나 5
 
4.5%
일반남녀 4
 
3.6%
65세이상 2
 
1.8%
성인여성 1
 
0.9%
취약계층 1
 
0.9%
외국인 1
 
0.9%

온라인정원
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
0
110 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 110
100.0%

Length

2023-12-13T02:18:52.611071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:52.735408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 110
100.0%

방문정원
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.836364
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:18:52.842670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.35
Q120
median25
Q330
95-th percentile50
Maximum100
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.199058
Coefficient of variation (CV)0.45457194
Kurtosis12.818177
Mean26.836364
Median Absolute Deviation (MAD)5
Skewness2.7895466
Sum2952
Variance148.81701
MonotonicityNot monotonic
2023-12-13T02:18:52.995852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20 28
25.5%
30 28
25.5%
25 21
19.1%
15 8
 
7.3%
40 6
 
5.5%
50 5
 
4.5%
12 5
 
4.5%
35 2
 
1.8%
45 1
 
0.9%
18 1
 
0.9%
Other values (5) 5
 
4.5%
ValueCountFrequency (%)
10 1
 
0.9%
12 5
 
4.5%
15 8
 
7.3%
17 1
 
0.9%
18 1
 
0.9%
20 28
25.5%
22 1
 
0.9%
25 21
19.1%
30 28
25.5%
35 2
 
1.8%
ValueCountFrequency (%)
100 1
 
0.9%
75 1
 
0.9%
50 5
 
4.5%
45 1
 
0.9%
40 6
 
5.5%
35 2
 
1.8%
30 28
25.5%
25 21
19.1%
22 1
 
0.9%
20 28
25.5%

수강인원
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.836364
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:18:53.121376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.35
Q120
median25
Q330
95-th percentile50
Maximum100
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.199058
Coefficient of variation (CV)0.45457194
Kurtosis12.818177
Mean26.836364
Median Absolute Deviation (MAD)5
Skewness2.7895466
Sum2952
Variance148.81701
MonotonicityNot monotonic
2023-12-13T02:18:53.264835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20 28
25.5%
30 28
25.5%
25 21
19.1%
15 8
 
7.3%
40 6
 
5.5%
50 5
 
4.5%
12 5
 
4.5%
35 2
 
1.8%
45 1
 
0.9%
18 1
 
0.9%
Other values (5) 5
 
4.5%
ValueCountFrequency (%)
10 1
 
0.9%
12 5
 
4.5%
15 8
 
7.3%
17 1
 
0.9%
18 1
 
0.9%
20 28
25.5%
22 1
 
0.9%
25 21
19.1%
30 28
25.5%
35 2
 
1.8%
ValueCountFrequency (%)
100 1
 
0.9%
75 1
 
0.9%
50 5
 
4.5%
45 1
 
0.9%
40 6
 
5.5%
35 2
 
1.8%
30 28
25.5%
25 21
19.1%
22 1
 
0.9%
20 28
25.5%

강의장소(주소)
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
서울시 광진구 뚝섬로26길 58
12 
서울시 광진구 능동로 346
11 
서울시 광진구 광장로 52
11 
서울시 광진구 자양로3가길 26
11 
서울시 광진구 긴고랑로 131
10 
Other values (10)
55 

Length

Max length20
Median length19
Mean length16.445455
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울시 광진구 긴고랑로12길 49
2nd row서울시 광진구 긴고랑로12길 49
3rd row서울시 광진구 긴고랑로12길 49
4th row서울시 광진구 긴고랑로12길 49
5th row서울시 광진구 긴고랑로12길 49

Common Values

ValueCountFrequency (%)
서울시 광진구 뚝섬로26길 58 12
10.9%
서울시 광진구 능동로 346 11
10.0%
서울시 광진구 광장로 52 11
10.0%
서울시 광진구 자양로3가길 26 11
10.0%
서울시 광진구 긴고랑로 131 10
9.1%
서울시 광진구 뚝섬로 568 10
9.1%
서울시 광진구 천호대로112길 55 7
 
6.4%
서울시 광진구 긴고랑로12길 49 6
 
5.5%
서울시 광진구 동일로76가길 28 6
 
5.5%
서울시 광진구 자양로13길 37 6
 
5.5%
Other values (5) 20
18.2%

Length

2023-12-13T02:18:53.441192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울시 110
25.0%
광진구 110
25.0%
뚝섬로26길 12
 
2.7%
58 12
 
2.7%
능동로 11
 
2.5%
346 11
 
2.5%
광장로 11
 
2.5%
52 11
 
2.5%
자양로3가길 11
 
2.5%
26 11
 
2.5%
Other values (21) 130
29.5%

강의장소(위도)
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.546414
Minimum37.5288
Maximum37.568753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:18:53.585185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.5288
5-th percentile37.5288
Q137.53405
median37.5468
Q337.559053
95-th percentile37.565044
Maximum37.568753
Range0.039953
Interquartile range (IQR)0.0250031

Descriptive statistics

Standard deviation0.012390098
Coefficient of variation (CV)0.00032999417
Kurtosis-1.3688293
Mean37.546414
Median Absolute Deviation (MAD)0.01275
Skewness0.10948992
Sum4130.1055
Variance0.00015351452
MonotonicityNot monotonic
2023-12-13T02:18:53.719139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
37.53405 12
10.9%
37.5601783 11
10.0%
37.5468 11
10.0%
37.5288 11
10.0%
37.5590531 10
9.1%
37.53379 10
9.1%
37.5537168 7
 
6.4%
37.5605114 6
 
5.5%
37.568753 6
 
5.5%
37.53446 6
 
5.5%
Other values (5) 20
18.2%
ValueCountFrequency (%)
37.5288 11
10.0%
37.53379 10
9.1%
37.53405 12
10.9%
37.53446 6
5.5%
37.53807 5
4.5%
37.54245 4
 
3.6%
37.54641 3
 
2.7%
37.5468 11
10.0%
37.5472 3
 
2.7%
37.5537168 7
6.4%
ValueCountFrequency (%)
37.568753 6
5.5%
37.5605114 6
5.5%
37.5601783 11
10.0%
37.5590531 10
9.1%
37.55512 5
4.5%
37.5537168 7
6.4%
37.5472 3
 
2.7%
37.5468 11
10.0%
37.54641 3
 
2.7%
37.54245 4
 
3.6%

강의장소(경도)
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08237
Minimum127.0662
Maximum127.1031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:18:53.856388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0662
5-th percentile127.0662
Q1127.0759
median127.08147
Q3127.08941
95-th percentile127.1031
Maximum127.1031
Range0.0369
Interquartile range (IQR)0.0135118

Descriptive statistics

Standard deviation0.009880194
Coefficient of variation (CV)7.774638 × 10-5
Kurtosis0.031319194
Mean127.08237
Median Absolute Deviation (MAD)0.0055728
Skewness0.41221902
Sum13979.06
Variance9.7618234 × 10-5
MonotonicityNot monotonic
2023-12-13T02:18:54.011046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
127.0662 12
10.9%
127.0814728 11
10.0%
127.1031 11
10.0%
127.0844 11
10.0%
127.0894118 10
9.1%
127.0729 10
9.1%
127.0805313 7
 
6.4%
127.0800527 6
 
5.5%
127.0801314 6
 
5.5%
127.0824 6
 
5.5%
Other values (5) 20
18.2%
ValueCountFrequency (%)
127.0662 12
10.9%
127.0713 3
 
2.7%
127.0729 10
9.1%
127.0759 5
4.5%
127.0800527 6
5.5%
127.0801314 6
5.5%
127.0805313 7
6.4%
127.0814728 11
10.0%
127.0824 6
5.5%
127.0844 11
10.0%
ValueCountFrequency (%)
127.1031 11
10.0%
127.0919 5
4.5%
127.0899 3
 
2.7%
127.0894118 10
9.1%
127.0856 4
 
3.6%
127.0844 11
10.0%
127.0824 6
5.5%
127.0814728 11
10.0%
127.0805313 7
6.4%
127.0801314 6
5.5%

Interactions

2023-12-13T02:18:48.884502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:46.715662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.313537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.844311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.350175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:49.293647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:46.810088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.421418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.943157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.478445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:49.383290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:46.911133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.522803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.034948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.590767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:49.487194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.017549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.602936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.118579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.673396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:49.606320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.164443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:47.700988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.237844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:48.786806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:18:54.138748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동프로그램명강의시간강의요일수강료수강대상방문정원수강인원강의장소(주소)강의장소(위도)강의장소(경도)
연번1.0000.9750.6060.5360.8100.7260.6750.3630.3630.9750.8760.884
행정동0.9751.0000.0000.0000.7860.7660.8190.4510.4511.0001.0001.000
프로그램명0.6060.0001.0000.0000.5110.9600.7170.6230.6230.0000.0000.826
강의시간0.5360.0000.0001.0000.9400.8480.0000.8320.8320.0000.6050.565
강의요일0.8100.7860.5110.9401.0000.8940.6810.8670.8670.7860.7250.000
수강료0.7260.7660.9600.8480.8941.0000.7630.9060.9060.7660.6710.756
수강대상0.6750.8190.7170.0000.6810.7631.0000.4310.4310.8190.6920.680
방문정원0.3630.4510.6230.8320.8670.9060.4311.0001.0000.4510.4750.254
수강인원0.3630.4510.6230.8320.8670.9060.4311.0001.0000.4510.4750.254
강의장소(주소)0.9751.0000.0000.0000.7860.7660.8190.4510.4511.0001.0001.000
강의장소(위도)0.8761.0000.0000.6050.7250.6710.6920.4750.4751.0001.0000.961
강의장소(경도)0.8841.0000.8260.5650.0000.7560.6800.2540.2541.0000.9611.000
2023-12-13T02:18:54.314339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수강료수강대상강의요일강의장소(주소)행정동
수강료1.0000.4420.4900.3870.387
수강대상0.4421.0000.2860.4960.496
강의요일0.4900.2861.0000.2840.284
강의장소(주소)0.3870.4960.2841.0001.000
행정동0.3870.4960.2841.0001.000
2023-12-13T02:18:54.469685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번방문정원수강인원강의장소(위도)강의장소(경도)행정동강의요일수강료수강대상강의장소(주소)
연번1.000-0.071-0.071-0.766-0.3850.8110.3550.3890.3850.811
방문정원-0.0711.0001.0000.074-0.1060.2110.5180.5590.2410.211
수강인원-0.0711.0001.0000.074-0.1060.2110.5180.5590.2410.211
강의장소(위도)-0.7660.0740.0741.0000.1140.9650.3360.3610.4280.965
강의장소(경도)-0.385-0.106-0.1060.1141.0000.9650.0000.4470.4160.965
행정동0.8110.2110.2110.9650.9651.0000.2840.3870.4961.000
강의요일0.3550.5180.5180.3360.0000.2841.0000.4900.2860.284
수강료0.3890.5590.5590.3610.4470.3870.4901.0000.4420.387
수강대상0.3850.2410.2410.4280.4160.4960.2860.4421.0000.496
강의장소(주소)0.8110.2110.2110.9650.9651.0000.2840.3870.4961.000

Missing values

2023-12-13T02:18:49.769605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:18:49.996902image/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

연번행정동프로그램명강의기간강의시간강의요일수강료수강대상온라인정원방문정원수강인원강의장소(주소)강의장소(위도)강의장소(경도)
01중곡1동국선도2023-01-01 ~ 2023-12-3108:30~09:30월,수,목,금24000성인02020서울시 광진구 긴고랑로12길 4937.560511127.080053
12중곡1동댄스스포츠2023-01-01 ~ 2023-12-3113:00~14:00월,수18000성인03030서울시 광진구 긴고랑로12길 4937.560511127.080053
23중곡1동요가2023-01-01 ~ 2023-12-3114:00~15:30화,목20000성인03030서울시 광진구 긴고랑로12길 4937.560511127.080053
34중곡1동탁구2023-01-01 ~ 2023-12-3110:00~12:00월,금25000성인02020서울시 광진구 긴고랑로12길 4937.560511127.080053
45중곡1동피부관리2023-01-01 ~ 2023-12-3110:00~12:00화,목18000성인02020서울시 광진구 긴고랑로12길 4937.560511127.080053
56중곡1동라인댄스2023-01-01 ~ 2023-12-3116:00~17:00화,목18000성인03030서울시 광진구 긴고랑로12길 4937.560511127.080053
67중곡2동에어로빅(1부)2023-01-01 ~ 2023-12-3108:50~09:40월~금30000성인03030서울시 광진구 능동로 34637.560178127.081473
78중곡2동에어로빅(2부)2023-01-01 ~ 2023-12-3109:50~10:40월~금30000성인03030서울시 광진구 능동로 34637.560178127.081473
89중곡2동스포츠댄스(초급)2023-01-01 ~ 2023-12-3113:00~15:00수18000성인02020서울시 광진구 능동로 34637.560178127.081473
910중곡2동스포츠댄스(중급)2023-01-01 ~ 2023-12-3110:40~11:30월,수18000성인02020서울시 광진구 능동로 34637.560178127.081473
연번행정동프로그램명강의기간강의시간강의요일수강료수강대상온라인정원방문정원수강인원강의장소(주소)강의장소(위도)강의장소(경도)
100101자양4동캘리그라피(초급)2023-01-01 ~ 2023-12-3110:00~12:00목17000일반01515서울시 광진구 뚝섬로26길 5837.53405127.0662
101102자양4동캘리그라피(중급)2023-01-01 ~ 2023-12-3112:00~14:00목17000일반01515서울시 광진구 뚝섬로26길 5837.53405127.0662
102103화양동노래교실2023-01-01 ~ 2023-12-3113:00~15:00월18000성인03030서울시 광진구 능동로17길 3937.54641127.0713
103104화양동요가2023-01-01 ~ 2023-12-3109:00~10:00화, 금18000성인02020서울시 광진구 능동로17길 3937.54641127.0713
104105화양동기초뎃생교실2023-01-01 ~ 2023-12-3110:00~12:00목무료성인01010서울시 광진구 능동로17길 3937.54641127.0713
105106군자동가요교실2023-01-01 ~ 2023-12-3114:00~16:00화17000성인03535서울시 광진구 군자로 15137.55512127.0759
106107군자동요가교실A2023-01-01 ~ 2023-12-3109:00~10:30화, 목17000성인02525서울시 광진구 군자로 15137.55512127.0759
107108군자동요가교실B2023-01-01 ~ 2023-12-3115:00~16:30화, 목17000성인02525서울시 광진구 군자로 15137.55512127.0759
108109군자동줌바(댄스)2023-01-01 ~ 2023-12-3109:30~10:30수, 금17000성인03030서울시 광진구 군자로 15137.55512127.0759
109110군자동스마트폰활용교육2023-01-01 ~ 2023-12-3110:00~12:00금17000성인02020서울시 광진구 군자로 15137.55512127.0759