Overview

Dataset statistics

Number of variables14
Number of observations174
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory116.8 B

Variable types

Text2
Categorical7
Numeric4
DateTime1

Dataset

Description서울특별시 동대문구 자치회관프로그램(프로그램명, 프로그램구분, 강의기간, 강의시간, 강의요일, 수강료, 정원, 교육장소주소 등)
Author서울특별시 동대문구
URLhttps://www.data.go.kr/data/15037715/fileData.do

Alerts

강의기간 has constant value ""Constant
데이터기준일자 has constant value ""Constant
교육장소건물명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
교육장소주소 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
정원 is highly overall correlated with 수강인원High correlation
수강인원 is highly overall correlated with 정원High correlation
위도 is highly overall correlated with 교육장소주소 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 교육장소주소 and 1 other fieldsHigh correlation
프로그램구분 is highly overall correlated with 수강대상High correlation
강의요일 is highly overall correlated with 수강대상High correlation
수강료 is highly overall correlated with 수강대상High correlation
수강대상 is highly overall correlated with 프로그램구분 and 2 other fieldsHigh correlation
수강대상 is highly imbalanced (55.7%)Imbalance

Reproduction

Analysis started2023-12-12 15:57:12.536278
Analysis finished2023-12-12 15:57:15.053921
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

프로그램명
Text

Distinct104
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T00:57:15.379360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.1781609
Min length2

Characters and Unicode

Total characters901
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)43.7%

Sample

1st row서예교실
2nd row노래교실
3rd row라인댄스
4th row요가교실A
5th row요가교실B
ValueCountFrequency (%)
서예교실 11
 
5.9%
라인댄스 9
 
4.9%
스포츠댄스 8
 
4.3%
노래교실 8
 
4.3%
요가교실a 6
 
3.2%
요가교실b 6
 
3.2%
어린이 5
 
2.7%
가요교실 4
 
2.2%
한국무용 4
 
2.2%
경기민요 3
 
1.6%
Other values (97) 121
65.4%
2023-12-13T00:57:15.884560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 80
 
8.9%
실 78
 
8.7%
스 47
 
5.2%
요 47
 
5.2%
가 45
 
5.0%
어 30
 
3.3%
) 25
 
2.8%
( 25
 
2.8%
댄 24
 
2.7%
이 23
 
2.6%
Other values (122) 477
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 773
85.8%
Uppercase Letter 55
 
6.1%
Close Punctuation 25
 
2.8%
Open Punctuation 25
 
2.8%
Space Separator 11
 
1.2%
Dash Punctuation 5
 
0.6%
Decimal Number 5
 
0.6%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 80
 
10.3%
실 78
 
10.1%
스 47
 
6.1%
요 47
 
6.1%
가 45
 
5.8%
어 30
 
3.9%
댄 24
 
3.1%
이 23
 
3.0%
기 17
 
2.2%
서 17
 
2.2%
Other values (106) 365
47.2%
Uppercase Letter
ValueCountFrequency (%)
A 22
40.0%
B 21
38.2%
C 2
 
3.6%
D 2
 
3.6%
S 2
 
3.6%
E 2
 
3.6%
P 2
 
3.6%
N 2
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
3 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 773
85.8%
Common 73
 
8.1%
Latin 55
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 80
 
10.3%
실 78
 
10.1%
스 47
 
6.1%
요 47
 
6.1%
가 45
 
5.8%
어 30
 
3.9%
댄 24
 
3.1%
이 23
 
3.0%
기 17
 
2.2%
서 17
 
2.2%
Other values (106) 365
47.2%
Common
ValueCountFrequency (%)
) 25
34.2%
( 25
34.2%
11
15.1%
- 5
 
6.8%
1 2
 
2.7%
· 2
 
2.7%
2 2
 
2.7%
3 1
 
1.4%
Latin
ValueCountFrequency (%)
A 22
40.0%
B 21
38.2%
C 2
 
3.6%
D 2
 
3.6%
S 2
 
3.6%
E 2
 
3.6%
P 2
 
3.6%
N 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 773
85.8%
ASCII 126
 
14.0%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 80
 
10.3%
실 78
 
10.1%
스 47
 
6.1%
요 47
 
6.1%
가 45
 
5.8%
어 30
 
3.9%
댄 24
 
3.1%
이 23
 
3.0%
기 17
 
2.2%
서 17
 
2.2%
Other values (106) 365
47.2%
ASCII
ValueCountFrequency (%)
) 25
19.8%
( 25
19.8%
A 22
17.5%
B 21
16.7%
11
8.7%
- 5
 
4.0%
1 2
 
1.6%
2 2
 
1.6%
C 2
 
1.6%
D 2
 
1.6%
Other values (5) 9
 
7.1%
None
ValueCountFrequency (%)
· 2
100.0%

프로그램구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
생활체육
99 
음악
33 
미술
25 
언어
16 
바둑
 
1

Length

Max length4
Median length4
Mean length3.137931
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row미술
2nd row음악
3rd row생활체육
4th row생활체육
5th row생활체육

Common Values

ValueCountFrequency (%)
생활체육 99
56.9%
음악 33
 
19.0%
미술 25
 
14.4%
언어 16
 
9.2%
바둑 1
 
0.6%

Length

2023-12-13T00:57:16.076343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:16.211214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활체육 99
56.9%
음악 33
 
19.0%
미술 25
 
14.4%
언어 16
 
9.2%
바둑 1
 
0.6%

강의기간
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
분기별
174 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분기별 174
100.0%

Length

2023-12-13T00:57:16.336574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:16.462227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분기별 174
100.0%

강의시간
Text

Distinct59
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T00:57:16.689550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length11
Mean length12.224138
Min length11

Characters and Unicode

Total characters2127
Distinct characters19
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

Unique37 ?
Unique (%)21.3%

Sample

1st row10:00~12:00
2nd row10:00~12:00
3rd row10:00~12:00
4th row10:00~11:00
5th row11:00~12:00
ValueCountFrequency (%)
10:00~12:00 45
25.7%
14:00~16:00 20
 
11.4%
19:00~21:00 11
 
6.3%
13:00~15:00 10
 
5.7%
14:30~16:30 6
 
3.4%
09:00~11:00 5
 
2.9%
10:30~12:30 4
 
2.3%
13:30~15:30 3
 
1.7%
13:00~14:00 3
 
1.7%
11:00~13:00 3
 
1.7%
Other values (49) 65
37.1%
2023-12-13T00:57:17.121305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 772
36.3%
1 389
18.3%
: 381
17.9%
~ 191
 
9.0%
3 101
 
4.7%
2 85
 
4.0%
4 47
 
2.2%
6 42
 
2.0%
9 36
 
1.7%
5 31
 
1.5%
Other values (9) 52
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1528
71.8%
Other Punctuation 399
 
18.8%
Math Symbol 191
 
9.0%
Space Separator 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Letter 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 772
50.5%
1 389
25.5%
3 101
 
6.6%
2 85
 
5.6%
4 47
 
3.1%
6 42
 
2.7%
9 36
 
2.4%
5 31
 
2.0%
7 14
 
0.9%
8 11
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 381
95.5%
, 17
 
4.3%
; 1
 
0.3%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
금 1
50.0%
Math Symbol
ValueCountFrequency (%)
~ 191
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2125
99.9%
Hangul 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 772
36.3%
1 389
18.3%
: 381
17.9%
~ 191
 
9.0%
3 101
 
4.8%
2 85
 
4.0%
4 47
 
2.2%
6 42
 
2.0%
9 36
 
1.7%
5 31
 
1.5%
Other values (7) 50
 
2.4%
Hangul
ValueCountFrequency (%)
월 1
50.0%
금 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2125
99.9%
Hangul 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 772
36.3%
1 389
18.3%
: 381
17.9%
~ 191
 
9.0%
3 101
 
4.8%
2 85
 
4.0%
4 47
 
2.2%
6 42
 
2.0%
9 36
 
1.7%
5 31
 
1.5%
Other values (7) 50
 
2.4%
Hangul
ValueCountFrequency (%)
월 1
50.0%
금 1
50.0%

강의요일
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
화,목
24 
목
23 
월
21 
금
16 
화
16 
Other values (13)
74 

Length

Max length5
Median length1
Mean length2.0114943
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
화,목 24
13.8%
목 23
13.2%
월 21
12.1%
금 16
9.2%
화 16
9.2%
수 15
8.6%
월,수 12
6.9%
월,금 9
 
5.2%
월,수,금 8
 
4.6%
월~금 7
 
4.0%
Other values (8) 23
13.2%

Length

2023-12-13T00:57:17.290018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화,목 24
13.8%
목 23
13.2%
월 22
12.6%
금 16
9.2%
화 16
9.2%
수 16
9.2%
월,수 12
6.9%
월,금 9
 
5.2%
월,수,금 8
 
4.6%
월~금 7
 
4.0%
Other values (6) 21
12.1%

수강료
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
10,000
88 
20,000
44 
15,000
12 
5,000
10 
0
 
8
Other values (3)
12 

Length

Max length6
Median length6
Mean length5.6724138
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row10,000
2nd row10,000
3rd row20,000
4th row10,000
5th row10,000

Common Values

ValueCountFrequency (%)
10,000 88
50.6%
20,000 44
25.3%
15,000 12
 
6.9%
5,000 10
 
5.7%
0 8
 
4.6%
2,500 7
 
4.0%
30,000 4
 
2.3%
22,000 1
 
0.6%

Length

2023-12-13T00:57:17.832595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:18.005362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10,000 88
50.6%
20,000 44
25.3%
15,000 12
 
6.9%
5,000 10
 
5.7%
0 8
 
4.6%
2,500 7
 
4.0%
30,000 4
 
2.3%
22,000 1
 
0.6%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.132184
Minimum9
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T00:57:18.179124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile14
Q120
median27
Q335
95-th percentile100
Maximum250
Range241
Interquartile range (IQR)15

Descriptive statistics

Standard deviation36.498631
Coefficient of variation (CV)1.0101418
Kurtosis14.03913
Mean36.132184
Median Absolute Deviation (MAD)7
Skewness3.6038679
Sum6287
Variance1332.1501
MonotonicityNot monotonic
2023-12-13T00:57:18.395440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
30 28
16.1%
20 21
12.1%
25 19
10.9%
40 18
 
10.3%
16 10
 
5.7%
31 7
 
4.0%
50 7
 
4.0%
24 6
 
3.4%
15 6
 
3.4%
17 5
 
2.9%
Other values (24) 47
27.0%
ValueCountFrequency (%)
9 3
 
1.7%
10 4
 
2.3%
13 1
 
0.6%
14 2
 
1.1%
15 6
 
3.4%
16 10
5.7%
17 5
 
2.9%
18 4
 
2.3%
19 2
 
1.1%
20 21
12.1%
ValueCountFrequency (%)
250 1
 
0.6%
200 3
1.7%
160 1
 
0.6%
150 2
 
1.1%
148 1
 
0.6%
100 4
2.3%
80 2
 
1.1%
60 1
 
0.6%
50 7
4.0%
45 1
 
0.6%

수강인원
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.017241
Minimum5
Maximum252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T00:57:18.641726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.3
Q117
median22
Q331
95-th percentile91
Maximum252
Range247
Interquartile range (IQR)14

Descriptive statistics

Standard deviation34.480534
Coefficient of variation (CV)1.111657
Kurtosis18.515892
Mean31.017241
Median Absolute Deviation (MAD)7
Skewness4.1068763
Sum5397
Variance1188.9072
MonotonicityNot monotonic
2023-12-13T00:57:18.842157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20 16
 
9.2%
16 13
 
7.5%
30 9
 
5.2%
17 8
 
4.6%
15 8
 
4.6%
25 8
 
4.6%
31 7
 
4.0%
24 7
 
4.0%
19 6
 
3.4%
35 6
 
3.4%
Other values (38) 86
49.4%
ValueCountFrequency (%)
5 2
 
1.1%
6 2
 
1.1%
7 3
 
1.7%
8 2
 
1.1%
10 2
 
1.1%
11 1
 
0.6%
12 3
 
1.7%
13 3
 
1.7%
14 4
2.3%
15 8
4.6%
ValueCountFrequency (%)
252 1
0.6%
197 2
1.1%
189 1
0.6%
156 1
0.6%
143 1
0.6%
133 1
0.6%
100 1
0.6%
91 2
1.1%
74 1
0.6%
52 1
0.6%

수강대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
성인
158 
어린이
16 

Length

Max length3
Median length2
Mean length2.091954
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성인 158
90.8%
어린이 16
 
9.2%

Length

2023-12-13T00:57:19.084475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:19.332077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 158
90.8%
어린이 16
 
9.2%

교육장소주소
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
서울특별시 동대문구 외대역동로 114-1(이문동)
17 
서울특별시 동대문구 약령시로 71(제기동)
15 
서울특별시 동대문구 한천로 329(휘경동)
14 
서울특별시 동대문구 천호대로27길 35(용두동)
13 
서울특별시 동대문구 사가정로 137(전농동)
13 
Other values (15)
102 

Length

Max length27
Median length26
Mean length25.264368
Min length23

Unique

Unique4 ?
Unique (%)2.3%

Sample

1st row서울특별시 동대문구 천호대로27길 35(용두동)
2nd row서울특별시 동대문구 천호대로27길 35(용두동)
3rd row서울특별시 동대문구 천호대로27길 35(용두동)
4th row서울특별시 동대문구 천호대로27길 35(용두동)
5th row서울특별시 동대문구 천호대로27길 35(용두동)

Common Values

ValueCountFrequency (%)
서울특별시 동대문구 외대역동로 114-1(이문동) 17
 
9.8%
서울특별시 동대문구 약령시로 71(제기동) 15
 
8.6%
서울특별시 동대문구 한천로 329(휘경동) 14
 
8.0%
서울특별시 동대문구 천호대로27길 35(용두동) 13
 
7.5%
서울특별시 동대문구 사가정로 137(전농동) 13
 
7.5%
서울특별시 동대문구 회기로25길 12-1(회기동) 13
 
7.5%
서울특별시 동대문구 한천로11길 18(답십리동) 12
 
6.9%
서울특별시 동대문구 신이문로 27-5(이문동) 12
 
6.9%
서울특별시 동대문구 장한로26가길 113(장안동) 11
 
6.3%
서울특별시 동대문구 외대역동로6길 3(휘경동) 10
 
5.7%
Other values (10) 44
25.3%

Length

2023-12-13T00:57:19.475008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 174
25.0%
동대문구 174
25.0%
사가정로 30
 
4.3%
114-1(이문동 17
 
2.4%
외대역동로 17
 
2.4%
71(제기동 15
 
2.2%
약령시로 15
 
2.2%
한천로 14
 
2.0%
329(휘경동 14
 
2.0%
천호대로27길 13
 
1.9%
Other values (30) 213
30.6%

교육장소건물명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
이문1동주민센터
18 
제기동주민센터
15 
휘경2동주민센터
14 
용신동주민센터
13 
전농2동주민센터
13 
Other values (14)
101 

Length

Max length14
Median length8
Mean length8.1034483
Min length7

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
이문1동주민센터 18
10.3%
제기동주민센터 15
 
8.6%
휘경2동주민센터 14
 
8.0%
용신동주민센터 13
 
7.5%
전농2동주민센터 13
 
7.5%
회기동주민센터 13
 
7.5%
답십리2동주민센터 12
 
6.9%
이문2동주민센터 12
 
6.9%
장안1동문화센터 11
 
6.3%
휘경1동주민센터 10
 
5.7%
Other values (9) 43
24.7%

Length

2023-12-13T00:57:19.671936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이문1동주민센터 18
 
10.0%
제기동주민센터 15
 
8.3%
휘경2동주민센터 14
 
7.8%
용신동주민센터 13
 
7.2%
전농2동주민센터 13
 
7.2%
회기동주민센터 13
 
7.2%
답십리2동주민센터 12
 
6.7%
이문2동주민센터 12
 
6.7%
장안1동문화센터 11
 
6.1%
휘경1동주민센터 10
 
5.6%
Other values (10) 49
27.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.583871
Minimum37.566973
Maximum37.603377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T00:57:19.832720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.566973
5-th percentile37.566973
Q137.575798
median37.583128
Q337.590802
95-th percentile37.603377
Maximum37.603377
Range0.0364036
Interquartile range (IQR)0.01500429

Descriptive statistics

Standard deviation0.010716754
Coefficient of variation (CV)0.00028514238
Kurtosis-0.95398903
Mean37.583871
Median Absolute Deviation (MAD)0.00732998
Skewness0.080326767
Sum6539.5935
Variance0.00011484882
MonotonicityNot monotonic
2023-12-13T00:57:20.012315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
37.5978112 17
 
9.8%
37.58312755 15
 
8.6%
37.5901318 14
 
8.0%
37.57579757 13
 
7.5%
37.59080186 13
 
7.5%
37.578089 13
 
7.5%
37.60337667 12
 
6.9%
37.56739463 12
 
6.9%
37.56697307 11
 
6.3%
37.59291152 10
 
5.7%
Other values (10) 44
25.3%
ValueCountFrequency (%)
37.56697307 11
6.3%
37.56739463 12
6.9%
37.57124611 1
 
0.6%
37.57180206 8
4.6%
37.57208377 1
 
0.6%
37.57579757 13
7.5%
37.57797268 7
4.0%
37.578089 13
7.5%
37.57847001 9
5.2%
37.5786095 1
 
0.6%
ValueCountFrequency (%)
37.60337667 12
6.9%
37.59842981 1
 
0.6%
37.5978112 17
9.8%
37.59291152 10
5.7%
37.59080186 13
7.5%
37.5901318 14
8.0%
37.58751921 6
 
3.4%
37.58627672 5
 
2.9%
37.58451942 5
 
2.9%
37.58312755 15
8.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05702
Minimum127.02964
Maximum127.07321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T00:57:20.197948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02964
5-th percentile127.03727
Q1127.04773
median127.06064
Q3127.06574
95-th percentile127.07059
Maximum127.07321
Range0.0435656
Interquartile range (IQR)0.018007

Descriptive statistics

Standard deviation0.011471475
Coefficient of variation (CV)9.0286038 × 10-5
Kurtosis-0.96639626
Mean127.05702
Median Absolute Deviation (MAD)0.0079459
Skewness-0.62869539
Sum22107.922
Variance0.00013159475
MonotonicityNot monotonic
2023-12-13T00:57:20.371562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
127.065482 17
 
9.8%
127.0378241 15
 
8.6%
127.0685898 14
 
8.0%
127.037273 13
 
7.5%
127.0553785 13
 
7.5%
127.0600108 13
 
7.5%
127.0651067 12
 
6.9%
127.061277 12
 
6.9%
127.0695004 11
 
6.3%
127.0657356 10
 
5.7%
Other values (10) 44
25.3%
ValueCountFrequency (%)
127.0296401 1
 
0.6%
127.037273 13
7.5%
127.0378241 15
8.6%
127.0427044 6
 
3.4%
127.0472833 5
 
2.9%
127.0477286 7
4.0%
127.0512824 8
4.6%
127.0517327 5
 
2.9%
127.0553785 13
7.5%
127.0594749 1
 
0.6%
ValueCountFrequency (%)
127.0732057 1
 
0.6%
127.0705916 9
5.2%
127.0695004 11
6.3%
127.0685898 14
8.0%
127.0657356 10
5.7%
127.065482 17
9.8%
127.0651067 12
6.9%
127.0650892 1
 
0.6%
127.061277 12
6.9%
127.0600108 13
7.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2020-07-01 00:00:00
Maximum2020-07-01 00:00:00
2023-12-13T00:57:20.516555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:20.689693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:57:14.336917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.235376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.588715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.920654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:14.431731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.320799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.663934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:14.005475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:14.524252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.400444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.735480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:14.108733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:14.641717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.501911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:13.829624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:14.220837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:57:20.804928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램구분강의시간강의요일수강료정원수강인원수강대상교육장소주소교육장소건물명위도경도
프로그램구분1.0000.0000.6210.5900.2360.0000.4730.0830.1600.3590.000
강의시간0.0001.0000.7720.9250.9480.9560.7800.8310.8140.7170.818
강의요일0.6210.7721.0000.7920.7110.6150.7250.4320.4530.4340.595
수강료0.5900.9250.7921.0000.0000.0000.9880.5940.5330.4130.413
정원0.2360.9480.7110.0001.0000.9730.0000.5740.5700.4210.480
수강인원0.0000.9560.6150.0000.9731.0000.0000.5320.5310.2080.421
수강대상0.4730.7800.7250.9880.0000.0001.0000.5580.5020.4550.448
교육장소주소0.0830.8310.4320.5940.5740.5320.5581.0001.0001.0001.000
교육장소건물명0.1600.8140.4530.5330.5700.5310.5021.0001.0001.0001.000
위도0.3590.7170.4340.4130.4210.2080.4551.0001.0001.0000.872
경도0.0000.8180.5950.4130.4800.4210.4481.0001.0000.8721.000
2023-12-13T00:57:21.004892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수강료교육장소건물명교육장소주소프로그램구분강의요일수강대상
수강료1.0000.2460.2720.4110.4720.887
교육장소건물명0.2461.0000.9970.0730.1490.424
교육장소주소0.2720.9971.0000.0230.1390.420
프로그램구분0.4110.0730.0231.0000.3610.569
강의요일0.4720.1490.1390.3611.0000.557
수강대상0.8870.4240.4200.5690.5571.000
2023-12-13T00:57:21.154201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수강인원위도경도프로그램구분강의요일수강료수강대상교육장소주소교육장소건물명
정원1.0000.781-0.020-0.2720.1450.3830.0000.0000.2590.270
수강인원0.7811.0000.038-0.1040.0000.3030.0000.0000.2330.245
위도-0.0200.0381.0000.1870.1530.1750.2090.3410.9690.972
경도-0.272-0.1040.1871.0000.0000.2310.2160.4390.9660.969
프로그램구분0.1450.0000.1530.0001.0000.3610.4110.5690.0230.073
강의요일0.3830.3030.1750.2310.3611.0000.4720.5570.1390.149
수강료0.0000.0000.2090.2160.4110.4721.0000.8870.2720.246
수강대상0.0000.0000.3410.4390.5690.5570.8871.0000.4200.424
교육장소주소0.2590.2330.9690.9660.0230.1390.2720.4201.0000.997
교육장소건물명0.2700.2450.9720.9690.0730.1490.2460.4240.9971.000

Missing values

2023-12-13T00:57:14.784651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:57:14.978821image/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

프로그램명프로그램구분강의기간강의시간강의요일수강료정원수강인원수강대상교육장소주소교육장소건물명위도경도데이터기준일자
0서예교실미술분기별10:00~12:00월10,0001717성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
1노래교실음악분기별10:00~12:00월10,0006037성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
2라인댄스생활체육분기별10:00~12:00화,목20,0003030성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
3요가교실A생활체육분기별10:00~11:00수,금10,0004035성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
4요가교실B생활체육분기별11:00~12:00수,금10,0004037성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
5요가교실C생활체육분기별12:30~13:30화,목10,0004035성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
6요가교실D생활체육분기별18:00~20:00화,목20,0004018성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
7기타교실음악분기별10:00~12:00수10,0002020성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
8탁구교실생활체육분기별13:00~15:00금10,0002121성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
9남도민요음악분기별13:00~15:00수10,0003013성인서울특별시 동대문구 천호대로27길 35(용두동)용신동주민센터37.575798127.0372732020-07-01
프로그램명프로그램구분강의기간강의시간강의요일수강료정원수강인원수강대상교육장소주소교육장소건물명위도경도데이터기준일자
164단월드·기체조생활체육분기별10:00~11:30월,금15,0003026성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
165가요교실음악분기별14:30~16:30목10,0004036성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
166서예·사군자미술분기별09:30~10:30화,목10,0002514성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
167영어(초급)언어분기별13:30~15:30화10,0002525성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
168경기민요음악분기별10:00~12:00목10,0002521성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
169탁구교실생활체육분기별10:00~13:00월20,0002526성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
170스포츠댄스생활체육분기별10:30~12:30수10,0002522성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
171국선도생활체육분기별18:30~19:30화,목10,0003018성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
172찾아가는 노래교실음악분기별13:00~14:00월02020성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01
173찾아가는 노래교실음악분기별14:00~15:00월02020성인서울특별시 동대문구 신이문로 27-5(이문동)이문2동주민센터37.603377127.0651072020-07-01