Overview

Dataset statistics

Number of variables12
Number of observations293
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.5 KiB
Average record size in memory99.5 B

Variable types

Numeric3
Categorical7
Text2

Dataset

Description서울특별시 강서구 자치회관에서 운영하는 헬스, 댄스, 외국어, 미술 등 다양한 프로그램 목록입니다.데이터는 교육기관, 강좌명, 강좌분야, 수강대상, 요일, 운영시간, 수강료, 정원, 운영기간, 교육장소, 도로명주소로 구성되어 있습니다.보다 상세한 사항은 강서구 자치회관 홈페이지(https://jachi.gangseo.seoul.kr/)를 이용해 주시기 바랍니다.
Author서울특별시 강서구
URLhttps://www.data.go.kr/data/15116986/fileData.do

Alerts

교육기관 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
교육장소 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
도로명주소 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 교육기관 and 2 other fieldsHigh correlation
강좌분야 is highly imbalanced (61.5%)Imbalance
운영기간 is highly imbalanced (67.6%)Imbalance
연번 has unique valuesUnique
수강료 has 35 (11.9%) zerosZeros

Reproduction

Analysis started2023-12-12 04:00:02.842129
Analysis finished2023-12-12 04:00:05.348726
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct293
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147
Minimum1
Maximum293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T13:00:05.469773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.6
Q174
median147
Q3220
95-th percentile278.4
Maximum293
Range292
Interquartile range (IQR)146

Descriptive statistics

Standard deviation84.726029
Coefficient of variation (CV)0.57636754
Kurtosis-1.2
Mean147
Median Absolute Deviation (MAD)73
Skewness0
Sum43071
Variance7178.5
MonotonicityStrictly increasing
2023-12-12T13:00:05.672525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
185 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
Other values (283) 283
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
293 1
0.3%
292 1
0.3%
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%

교육기관
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
염창동
25 
화곡4동
22 
화곡3동
 
19
발산1동
 
19
방화1동
 
17
Other values (16)
191 

Length

Max length12
Median length4
Mean length4.2559727
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
염창동 25
 
8.5%
화곡4동 22
 
7.5%
화곡3동 19
 
6.5%
발산1동 19
 
6.5%
방화1동 17
 
5.8%
공항동 17
 
5.8%
방화3동 17
 
5.8%
가양1동 16
 
5.5%
화곡8동 13
 
4.4%
등촌3동 13
 
4.4%
Other values (11) 115
39.2%

Length

2023-12-12T13:00:05.869703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
염창동 25
 
8.2%
화곡4동 22
 
7.2%
우장산동 22
 
7.2%
화곡3동 19
 
6.2%
발산1동 19
 
6.2%
방화1동 17
 
5.6%
공항동 17
 
5.6%
방화3동 17
 
5.6%
가양1동 16
 
5.2%
내발산문화센터 13
 
4.2%
Other values (11) 119
38.9%
Distinct221
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T13:00:06.228995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length17
Mean length6.1501706
Min length2

Characters and Unicode

Total characters1802
Distinct characters213
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)67.6%

Sample

1st row헬스장
2nd row에어로빅(A)
3rd row에어로빅(B)
4th row에어로빅(C)
5th row스포츠댄스
ValueCountFrequency (%)
라인댄스 19
 
5.2%
헬스 15
 
4.1%
노래교실 13
 
3.6%
요가 10
 
2.7%
웰빙댄스 9
 
2.5%
한국무용 8
 
2.2%
중급 6
 
1.6%
어르신 6
 
1.6%
초급 6
 
1.6%
사물놀이 5
 
1.4%
Other values (219) 269
73.5%
2023-12-12T13:00:06.740743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
6.5%
90
 
5.0%
( 72
 
4.0%
) 72
 
4.0%
63
 
3.5%
63
 
3.5%
52
 
2.9%
48
 
2.7%
47
 
2.6%
37
 
2.1%
Other values (203) 1140
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1514
84.0%
Space Separator 90
 
5.0%
Open Punctuation 72
 
4.0%
Close Punctuation 72
 
4.0%
Uppercase Letter 39
 
2.2%
Decimal Number 12
 
0.7%
Math Symbol 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
118
 
7.8%
63
 
4.2%
63
 
4.2%
52
 
3.4%
48
 
3.2%
47
 
3.1%
37
 
2.4%
35
 
2.3%
31
 
2.0%
31
 
2.0%
Other values (188) 989
65.3%
Uppercase Letter
ValueCountFrequency (%)
A 15
38.5%
B 15
38.5%
P 4
 
10.3%
K 2
 
5.1%
O 2
 
5.1%
C 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
2 5
41.7%
3 2
 
16.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1514
84.0%
Common 249
 
13.8%
Latin 39
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
118
 
7.8%
63
 
4.2%
63
 
4.2%
52
 
3.4%
48
 
3.2%
47
 
3.1%
37
 
2.4%
35
 
2.3%
31
 
2.0%
31
 
2.0%
Other values (188) 989
65.3%
Common
ValueCountFrequency (%)
90
36.1%
( 72
28.9%
) 72
28.9%
1 5
 
2.0%
2 5
 
2.0%
3 2
 
0.8%
- 1
 
0.4%
< 1
 
0.4%
> 1
 
0.4%
Latin
ValueCountFrequency (%)
A 15
38.5%
B 15
38.5%
P 4
 
10.3%
K 2
 
5.1%
O 2
 
5.1%
C 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1514
84.0%
ASCII 288
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
118
 
7.8%
63
 
4.2%
63
 
4.2%
52
 
3.4%
48
 
3.2%
47
 
3.1%
37
 
2.4%
35
 
2.3%
31
 
2.0%
31
 
2.0%
Other values (188) 989
65.3%
ASCII
ValueCountFrequency (%)
90
31.2%
( 72
25.0%
) 72
25.0%
A 15
 
5.2%
B 15
 
5.2%
1 5
 
1.7%
2 5
 
1.7%
P 4
 
1.4%
3 2
 
0.7%
K 2
 
0.7%
Other values (5) 6
 
2.1%

강좌분야
Categorical

IMBALANCE 

Distinct10
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
문화여가
226 
시민교육
38 
건강
 
6
생활체육교실
 
6
교육
 
5
Other values (5)
 
12

Length

Max length6
Median length4
Mean length3.9522184
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
문화여가 226
77.1%
시민교육 38
 
13.0%
건강 6
 
2.0%
생활체육교실 6
 
2.0%
교육 5
 
1.7%
지역복지 4
 
1.4%
주민편익 3
 
1.0%
기타 2
 
0.7%
취미교양 2
 
0.7%
주민교육 1
 
0.3%

Length

2023-12-12T13:00:06.911039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:00:07.108042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화여가 226
77.1%
시민교육 38
 
13.0%
건강 6
 
2.0%
생활체육교실 6
 
2.0%
교육 5
 
1.7%
지역복지 4
 
1.4%
주민편익 3
 
1.0%
기타 2
 
0.7%
취미교양 2
 
0.7%
주민교육 1
 
0.3%

수강대상
Categorical

Distinct20
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
누구나
170 
성인
57 
<NA>
 
13
어르신
 
12
어린이
 
11
Other values (15)
30 

Length

Max length7
Median length3
Mean length2.9692833
Min length2

Unique

Unique10 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
누구나 170
58.0%
성인 57
 
19.5%
<NA> 13
 
4.4%
어르신 12
 
4.1%
어린이 11
 
3.8%
일반 8
 
2.7%
65세 이상 4
 
1.4%
65세이상 4
 
1.4%
초등학생 2
 
0.7%
어르신 2
 
0.7%
Other values (10) 10
 
3.4%

Length

2023-12-12T13:00:07.291023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
누구나 170
57.0%
성인 57
 
19.1%
어르신 14
 
4.7%
na 13
 
4.4%
어린이 11
 
3.7%
일반 8
 
2.7%
65세 4
 
1.3%
이상 4
 
1.3%
65세이상 4
 
1.3%
초등학생 2
 
0.7%
Other values (11) 11
 
3.7%

요일
Categorical

Distinct27
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
화+목
34 
32 
29 
28 
월+수
23 
Other values (22)
147 

Length

Max length11
Median length9
Mean length3.0443686
Min length1

Unique

Unique10 ?
Unique (%)3.4%

Sample

1st row월+화+수+목+금+토
2nd row월+화+수+목+금
3rd row월+화+수+목+금
4th row월+화+수+목+금
5th row월+수

Common Values

ValueCountFrequency (%)
화+목 34
11.6%
32
10.9%
29
9.9%
28
9.6%
월+수 23
7.8%
23
7.8%
22
7.5%
월+수+금 21
7.2%
월+화+수+목+금+토 18
 
6.1%
월+화+수+목+금 17
 
5.8%
Other values (17) 46
15.7%

Length

2023-12-12T13:00:07.464942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화+목 34
11.6%
32
10.9%
29
9.9%
29
9.9%
월+수 23
7.8%
23
7.8%
22
7.5%
월+수+금 21
7.1%
월+화+수+목+금+토 18
 
6.1%
월+화+수+목+금 17
 
5.8%
Other values (16) 46
15.6%
Distinct124
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T13:00:07.698256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length11
Mean length12.276451
Min length10

Characters and Unicode

Total characters3597
Distinct characters23
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

Unique77 ?
Unique (%)26.3%

Sample

1st row평일 06:00~21:30+토 06:00~14:00
2nd row08:30~09:30
3rd row09:35~10:35
4th row10:40~11:40
5th row16:20~17:20
ValueCountFrequency (%)
10:00~12:00 20
 
6.1%
10:00~11:00 16
 
4.9%
평일 14
 
4.3%
10:30~12:00 11
 
3.4%
16:00~17:00 11
 
3.4%
16:30~17:30 8
 
2.4%
14:00~15:30 8
 
2.4%
10:30~11:30 7
 
2.1%
11:00~12:30 7
 
2.1%
15:30~16:30 7
 
2.1%
Other values (124) 218
66.7%
2023-12-12T13:00:08.171970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1166
32.4%
1 642
17.8%
: 632
17.6%
~ 317
 
8.8%
3 222
 
6.2%
2 128
 
3.6%
5 94
 
2.6%
6 90
 
2.5%
4 74
 
2.1%
7 52
 
1.4%
Other values (13) 180
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2526
70.2%
Other Punctuation 633
 
17.6%
Math Symbol 340
 
9.5%
Other Letter 64
 
1.8%
Space Separator 34
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1166
46.2%
1 642
25.4%
3 222
 
8.8%
2 128
 
5.1%
5 94
 
3.7%
6 90
 
3.6%
4 74
 
2.9%
7 52
 
2.1%
9 38
 
1.5%
8 20
 
0.8%
Other Letter
ValueCountFrequency (%)
18
28.1%
17
26.6%
17
26.6%
4
 
6.2%
3
 
4.7%
2
 
3.1%
2
 
3.1%
1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
: 632
99.8%
/ 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 317
93.2%
+ 23
 
6.8%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3533
98.2%
Hangul 64
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1166
33.0%
1 642
18.2%
: 632
17.9%
~ 317
 
9.0%
3 222
 
6.3%
2 128
 
3.6%
5 94
 
2.7%
6 90
 
2.5%
4 74
 
2.1%
7 52
 
1.5%
Other values (5) 116
 
3.3%
Hangul
ValueCountFrequency (%)
18
28.1%
17
26.6%
17
26.6%
4
 
6.2%
3
 
4.7%
2
 
3.1%
2
 
3.1%
1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3533
98.2%
Hangul 64
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1166
33.0%
1 642
18.2%
: 632
17.9%
~ 317
 
9.0%
3 222
 
6.3%
2 128
 
3.6%
5 94
 
2.7%
6 90
 
2.5%
4 74
 
2.1%
7 52
 
1.5%
Other values (5) 116
 
3.3%
Hangul
ValueCountFrequency (%)
18
28.1%
17
26.6%
17
26.6%
4
 
6.2%
3
 
4.7%
2
 
3.1%
2
 
3.1%
1
 
1.6%

수강료
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17894.198
Minimum0
Maximum70000
Zeros35
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T13:00:08.330797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115000
median20000
Q320000
95-th percentile30000
Maximum70000
Range70000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation9484.6163
Coefficient of variation (CV)0.53003864
Kurtosis5.3643104
Mean17894.198
Median Absolute Deviation (MAD)5000
Skewness0.47773009
Sum5243000
Variance89957946
MonotonicityNot monotonic
2023-12-12T13:00:08.474091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20000 126
43.0%
0 35
 
11.9%
30000 30
 
10.2%
25000 27
 
9.2%
15000 27
 
9.2%
10000 18
 
6.1%
24000 10
 
3.4%
12000 8
 
2.7%
18000 3
 
1.0%
5000 3
 
1.0%
Other values (4) 6
 
2.0%
ValueCountFrequency (%)
0 35
 
11.9%
1000 1
 
0.3%
2000 2
 
0.7%
5000 3
 
1.0%
10000 18
 
6.1%
12000 8
 
2.7%
13000 1
 
0.3%
15000 27
 
9.2%
18000 3
 
1.0%
20000 126
43.0%
ValueCountFrequency (%)
70000 2
 
0.7%
30000 30
 
10.2%
25000 27
 
9.2%
24000 10
 
3.4%
20000 126
43.0%
18000 3
 
1.0%
15000 27
 
9.2%
13000 1
 
0.3%
12000 8
 
2.7%
10000 18
 
6.1%

정원
Real number (ℝ)

Distinct31
Distinct (%)10.6%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean45.729452
Minimum0
Maximum650
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T13:00:08.667068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q120
median25
Q335
95-th percentile200
Maximum650
Range650
Interquartile range (IQR)15

Descriptive statistics

Standard deviation82.94004
Coefficient of variation (CV)1.8137117
Kurtosis21.317749
Mean45.729452
Median Absolute Deviation (MAD)5
Skewness4.5046069
Sum13353
Variance6879.0503
MonotonicityNot monotonic
2023-12-12T13:00:08.843519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20 76
25.9%
30 52
17.7%
15 40
13.7%
40 20
 
6.8%
25 20
 
6.8%
50 19
 
6.5%
35 10
 
3.4%
10 8
 
2.7%
45 5
 
1.7%
400 5
 
1.7%
Other values (21) 37
12.6%
ValueCountFrequency (%)
0 2
 
0.7%
8 2
 
0.7%
10 8
 
2.7%
12 1
 
0.3%
14 1
 
0.3%
15 40
13.7%
17 2
 
0.7%
18 3
 
1.0%
20 76
25.9%
22 1
 
0.3%
ValueCountFrequency (%)
650 1
 
0.3%
500 1
 
0.3%
460 1
 
0.3%
450 1
 
0.3%
400 5
1.7%
350 1
 
0.3%
300 1
 
0.3%
250 1
 
0.3%
210 1
 
0.3%
200 4
1.4%

운영기간
Categorical

IMBALANCE 

Distinct22
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-01-01~2023-12-31
236 
2023-05-01~2023-12-31
 
10
2023-03-01~2023-12-31
 
9
2023-07-01~2023-12-31
 
8
2023-04-01~2023-12-31
 
6
Other values (17)
24 

Length

Max length43
Median length21
Mean length21.375427
Min length21

Unique

Unique12 ?
Unique (%)4.1%

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 (%)
2023-01-01~2023-12-31 236
80.5%
2023-05-01~2023-12-31 10
 
3.4%
2023-03-01~2023-12-31 9
 
3.1%
2023-07-01~2023-12-31 8
 
2.7%
2023-04-01~2023-12-31 6
 
2.0%
2023-04-01~2023-06-30+2023-09-01~2023-11-30 3
 
1.0%
2023-02-01~2023-12-31 3
 
1.0%
2023-04-10~2023-12-08 2
 
0.7%
2023-09-04~2023-11-17 2
 
0.7%
2023-08-01~2023-12-31 2
 
0.7%
Other values (12) 12
 
4.1%

Length

2023-12-12T13:00:09.033891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-01-01~2023-12-31 236
80.5%
2023-05-01~2023-12-31 10
 
3.4%
2023-03-01~2023-12-31 9
 
3.1%
2023-07-01~2023-12-31 8
 
2.7%
2023-04-01~2023-12-31 6
 
2.0%
2023-04-01~2023-06-30+2023-09-01~2023-11-30 3
 
1.0%
2023-02-01~2023-12-31 3
 
1.0%
2023-04-10~2023-12-08 2
 
0.7%
2023-09-04~2023-11-17 2
 
0.7%
2023-08-01~2023-12-31 2
 
0.7%
Other values (12) 12
 
4.1%

교육장소
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
염창동주민센터
25 
발산1동주민센터
 
19
공항동주민센터
 
17
방화3동주민센터
 
17
가양1동 주민센터
 
16
Other values (31)
199 

Length

Max length19
Median length18
Mean length9.7406143
Min length3

Unique

Unique5 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
염창동주민센터 25
 
8.5%
발산1동주민센터 19
 
6.5%
공항동주민센터 17
 
5.8%
방화3동주민센터 17
 
5.8%
가양1동 주민센터 16
 
5.5%
화곡3동 주민센터 지하 15
 
5.1%
우장산동 내발산문화센터 13
 
4.4%
화곡8동주민센터 13
 
4.4%
화곡본동주민센터 12
 
4.1%
가양3동주민센터 12
 
4.1%
Other values (26) 134
45.7%

Length

2023-12-12T13:00:09.232707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민센터 47
 
10.0%
지하 28
 
6.0%
염창동주민센터 25
 
5.3%
3층 23
 
4.9%
화곡4동주민센터 22
 
4.7%
화곡3동 19
 
4.1%
발산1동주민센터 19
 
4.1%
공항동주민센터 17
 
3.6%
방화3동주민센터 17
 
3.6%
방화1동주민센터 17
 
3.6%
Other values (33) 235
50.1%

도로명주소
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
서울특별시 강서구 양천로67가길 63
25 
서울특별시 강서구 곰달래로57가길 26
22 
서울특별시 강서구 강서로33가길 17
 
19
서울특별시 강서구 강서로47길 54
 
19
서울특별시 강서구 방화대로330
 
17
Other values (20)
191 

Length

Max length21
Median length20
Mean length18.539249
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row서울특별시 강서구 양천로67가길 63
2nd row서울특별시 강서구 양천로67가길 63
3rd row서울특별시 강서구 양천로67가길 63
4th row서울특별시 강서구 양천로67가길 63
5th row서울특별시 강서구 양천로67가길 63

Common Values

ValueCountFrequency (%)
서울특별시 강서구 양천로67가길 63 25
 
8.5%
서울특별시 강서구 곰달래로57가길 26 22
 
7.5%
서울특별시 강서구 강서로33가길 17 19
 
6.5%
서울특별시 강서구 강서로47길 54 19
 
6.5%
서울특별시 강서구 방화대로330 17
 
5.8%
서울특별시 강서구 송정로 45 17
 
5.8%
서울특별시 강서구 금낭화로24길 5 17
 
5.8%
서울특별시 강서구 허준로 30 16
 
5.5%
서울특별시 강서구 곰달래로25길 45 13
 
4.4%
서울특별시 강서구 강서로52길 89 13
 
4.4%
Other values (15) 115
39.2%

Length

2023-12-12T13:00:09.408686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 292
25.8%
강서구 292
25.8%
허준로 40
 
3.5%
45 30
 
2.7%
양천로67가길 25
 
2.2%
63 25
 
2.2%
곰달래로57가길 22
 
1.9%
26 22
 
1.9%
강서로33가길 19
 
1.7%
17 19
 
1.7%
Other values (33) 346
30.6%

Interactions

2023-12-12T13:00:04.594174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:03.887871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:04.244475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:04.692671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:04.016966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:04.363478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:04.838603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:04.139733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:04.477204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:00:09.504798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번교육기관강좌분야수강대상요일수강료정원운영기간교육장소도로명주소
연번1.0000.9840.6130.5920.4370.4280.0000.5930.9900.984
교육기관0.9841.0000.7710.7740.4440.5510.0000.7681.0001.000
강좌분야0.6130.7711.0000.6770.0000.3750.0000.7780.7470.767
수강대상0.5920.7740.6771.0000.7950.6170.0000.7480.7990.794
요일0.4370.4440.0000.7951.0000.5650.7700.6980.0000.395
수강료0.4280.5510.3750.6170.5651.0000.0000.4150.5430.580
정원0.0000.0000.0000.0000.7700.0001.0000.0000.8090.376
운영기간0.5930.7680.7780.7480.6980.4150.0001.0000.7440.787
교육장소0.9901.0000.7470.7990.0000.5430.8090.7441.0001.000
도로명주소0.9841.0000.7670.7940.3950.5800.3760.7871.0001.000
2023-12-12T13:00:09.677691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수강대상운영기간교육기관강좌분야교육장소요일도로명주소
수강대상1.0000.3120.3410.3240.3280.3400.356
운영기간0.3121.0000.3190.4160.2620.2470.327
교육기관0.3410.3191.0000.4060.9720.1280.994
강좌분야0.3240.4160.4061.0000.3540.0000.398
교육장소0.3280.2620.9720.3541.0000.0000.979
요일0.3400.2470.1280.0000.0001.0000.106
도로명주소0.3560.3270.9940.3980.9790.1061.000
2023-12-12T13:00:09.802961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수강료정원교육기관강좌분야수강대상요일운영기간교육장소도로명주소
연번1.0000.0980.0010.8850.2290.2630.1670.2590.8740.882
수강료0.0981.0000.3150.2760.2060.3340.2770.1980.2370.264
정원0.0010.3151.0000.0000.0000.0000.4250.0000.4430.137
교육기관0.8850.2760.0001.0000.4060.3410.1280.3190.9720.994
강좌분야0.2290.2060.0000.4061.0000.3240.0000.4160.3540.398
수강대상0.2630.3340.0000.3410.3241.0000.3400.3120.3280.356
요일0.1670.2770.4250.1280.0000.3401.0000.2470.0000.106
운영기간0.2590.1980.0000.3190.4160.3120.2471.0000.2620.327
교육장소0.8740.2370.4430.9720.3540.3280.0000.2621.0000.979
도로명주소0.8820.2640.1370.9940.3980.3560.1060.3270.9791.000

Missing values

2023-12-12T13:00:05.022346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:00:05.250463image/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

연번교육기관강좌명강좌분야수강대상요일운영시간수강료정원운영기간교육장소도로명주소
01염창동헬스장문화여가누구나월+화+수+목+금+토평일 06:00~21:30+토 06:00~14:00240004502023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
12염창동에어로빅(A)문화여가누구나월+화+수+목+금08:30~09:3030000322023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
23염창동에어로빅(B)문화여가누구나월+화+수+목+금09:35~10:3530000322023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
34염창동에어로빅(C)문화여가누구나월+화+수+목+금10:40~11:4030000322023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
45염창동스포츠댄스문화여가누구나월+수16:20~17:2024000302023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
56염창동웰빙댄스문화여가누구나월+수15:00~16:0024000352023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
67염창동라인댄스(초중급)문화여가누구나화+목12:30~13:3024000302023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
78염창동라인댄스(초급)문화여가누구나화+목13:40~14:4024000302023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
89염창동건강필라테스문화여가누구나월+수13:30~14:3024000252023-01-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
910염창동어린이 케이팝 댄스문화여가어린이10:30~11:3012000202023-07-01~2023-12-31염창동주민센터서울특별시 강서구 양천로67가길 63
연번교육기관강좌명강좌분야수강대상요일운영시간수강료정원운영기간교육장소도로명주소
283284방화3동웰빙댄스문화여가누구나15:00~17:0015000402023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
284285방화3동일본어(초급)시민교육누구나12:10~13:3015000152023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
285286방화3동일본어(중급)시민교육누구나10:30~11:5015000152023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
286287방화3동중국어(초급)시민교육누구나13:30~14:5015000152023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
287288방화3동중국어(중급)시민교육누구나15:00~16:2015000152023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
288289방화3동탁구문화여가누구나화+목12:30~14:3020000222023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
289290방화3동요가문화여가누구나화+목10:00~11:2020000502023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
290291방화3동생태놀이시민교육어린이16:00~17:3015000152023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
291292방화3동노래교실문화여가어르신16:20~17:100502023-01-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5
292293방화3동헬스문화여가누구나월+화+수+목+금+토06:00~21:00200003002023-05-01~2023-12-31방화3동주민센터서울특별시 강서구 금낭화로24길 5