Overview

Dataset statistics

Number of variables14
Number of observations295
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.8 KiB
Average record size in memory117.4 B

Variable types

Numeric5
Categorical5
Text2
DateTime2

Dataset

Description서울특별시 양천구 자치회관프로그램(프로그램명, 프로그램구분, 강의기간, 강의시간 및 요일, 수강료, 정원, 교육장소주소 등)에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15037743/fileData.do

Alerts

교육시작일 has constant value ""Constant
교육종료일 has constant value ""Constant
주소 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
교육기관 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
교육장소 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
정원 is highly overall correlated with 접수인원High correlation
접수인원 is highly overall correlated with 정원High correlation
위도 is highly overall correlated with 번호High correlation
수강대상 is highly imbalanced (75.3%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:06:13.156871
Analysis finished2023-12-12 23:06:16.756066
Duration3.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct295
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148
Minimum1
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T08:06:16.823958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.7
Q174.5
median148
Q3221.5
95-th percentile280.3
Maximum295
Range294
Interquartile range (IQR)147

Descriptive statistics

Standard deviation85.30338
Coefficient of variation (CV)0.57637419
Kurtosis-1.2
Mean148
Median Absolute Deviation (MAD)74
Skewness0
Sum43660
Variance7276.6667
MonotonicityStrictly increasing
2023-12-13T08:06:16.986893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
204 1
 
0.3%
202 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%
Other values (285) 285
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 (%)
295 1
0.3%
294 1
0.3%
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%

교육기관
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
목5동
33 
신정6동
28 
목2동
25 
신월6동
19 
목3동
18 
Other values (14)
172 

Length

Max length5
Median length4
Mean length3.6915254
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row목1동
2nd row목1동
3rd row목1동
4th row목1동
5th row목1동

Common Values

ValueCountFrequency (%)
목5동 33
 
11.2%
신정6동 28
 
9.5%
목2동 25
 
8.5%
신월6동 19
 
6.4%
목3동 18
 
6.1%
신정1동 18
 
6.1%
목4동 17
 
5.8%
신월5동 16
 
5.4%
신정2동 15
 
5.1%
신정7동 14
 
4.7%
Other values (9) 92
31.2%

Length

2023-12-13T08:06:17.176642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
목5동 33
 
11.2%
신정6동 28
 
9.5%
목2동 25
 
8.5%
신월6동 19
 
6.4%
목3동 18
 
6.1%
신정1동 18
 
6.1%
목4동 17
 
5.8%
신월5동 16
 
5.4%
신정2동 15
 
5.1%
신정4동 14
 
4.7%
Other values (8) 92
31.2%

강좌명
Text

Distinct221
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:06:17.493044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.6135593
Min length2

Characters and Unicode

Total characters1951
Distinct characters204
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

Unique182 ?
Unique (%)61.7%

Sample

1st row라인댄스(초급)
2nd row라인댄스(중급)
3rd row일본어(초급)
4th row일본어(중급)
5th row중국어
ValueCountFrequency (%)
웰빙댄스 6
 
1.9%
한국무용 6
 
1.9%
노래교실 5
 
1.6%
라인댄스 5
 
1.6%
가요교실 5
 
1.6%
요가 5
 
1.6%
탁구교실 4
 
1.2%
일본어(초급 4
 
1.2%
일본어(중급 4
 
1.2%
라인댄스(초급 4
 
1.2%
Other values (220) 273
85.0%
2023-12-13T08:06:17.945369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 132
 
6.8%
( 132
 
6.8%
스 98
 
5.0%
교 72
 
3.7%
실 72
 
3.7%
어 62
 
3.2%
반 61
 
3.1%
급 60
 
3.1%
댄 58
 
3.0%
라 44
 
2.3%
Other values (194) 1160
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1576
80.8%
Close Punctuation 132
 
6.8%
Open Punctuation 132
 
6.8%
Uppercase Letter 50
 
2.6%
Space Separator 40
 
2.1%
Decimal Number 16
 
0.8%
Math Symbol 4
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 98
 
6.2%
교 72
 
4.6%
실 72
 
4.6%
어 62
 
3.9%
반 61
 
3.9%
급 60
 
3.8%
댄 58
 
3.7%
라 44
 
2.8%
인 39
 
2.5%
요 37
 
2.3%
Other values (174) 973
61.7%
Uppercase Letter
ValueCountFrequency (%)
A 16
32.0%
B 16
32.0%
E 4
 
8.0%
C 3
 
6.0%
P 3
 
6.0%
S 3
 
6.0%
N 3
 
6.0%
D 2
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 7
43.8%
2 3
18.8%
3 2
 
12.5%
5 1
 
6.2%
6 1
 
6.2%
7 1
 
6.2%
0 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1576
80.8%
Common 325
 
16.7%
Latin 50
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 98
 
6.2%
교 72
 
4.6%
실 72
 
4.6%
어 62
 
3.9%
반 61
 
3.9%
급 60
 
3.8%
댄 58
 
3.7%
라 44
 
2.8%
인 39
 
2.5%
요 37
 
2.3%
Other values (174) 973
61.7%
Common
ValueCountFrequency (%)
) 132
40.6%
( 132
40.6%
40
 
12.3%
1 7
 
2.2%
+ 4
 
1.2%
2 3
 
0.9%
3 2
 
0.6%
5 1
 
0.3%
- 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.6%
Latin
ValueCountFrequency (%)
A 16
32.0%
B 16
32.0%
E 4
 
8.0%
C 3
 
6.0%
P 3
 
6.0%
S 3
 
6.0%
N 3
 
6.0%
D 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1576
80.8%
ASCII 375
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 132
35.2%
( 132
35.2%
40
 
10.7%
A 16
 
4.3%
B 16
 
4.3%
1 7
 
1.9%
+ 4
 
1.1%
E 4
 
1.1%
2 3
 
0.8%
C 3
 
0.8%
Other values (10) 18
 
4.8%
Hangul
ValueCountFrequency (%)
스 98
 
6.2%
교 72
 
4.6%
실 72
 
4.6%
어 62
 
3.9%
반 61
 
3.9%
급 60
 
3.8%
댄 58
 
3.7%
라 44
 
2.8%
인 39
 
2.5%
요 37
 
2.3%
Other values (174) 973
61.7%

수강대상
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반
256 
어르신
30 
어린이
 
3
초등학생
 
2
미취학
 
1
Other values (3)
 
3

Length

Max length7
Median length2
Mean length2.159322
Min length2

Unique

Unique4 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
일반 256
86.8%
어르신 30
 
10.2%
어린이 3
 
1.0%
초등학생 2
 
0.7%
미취학 1
 
0.3%
장애인 1
 
0.3%
초등1~3학년 1
 
0.3%
유치+초등 1
 
0.3%

Length

2023-12-13T08:06:18.094188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:18.220876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 256
86.8%
어르신 30
 
10.2%
어린이 3
 
1.0%
초등학생 2
 
0.7%
미취학 1
 
0.3%
장애인 1
 
0.3%
초등1~3학년 1
 
0.3%
유치+초등 1
 
0.3%

교육시작일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-13T08:06:18.314225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:18.404115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

교육종료일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2023-12-13T08:06:18.495153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:18.586955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

교육요일
Text

Distinct221
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:06:18.810629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length14.945763
Min length12

Characters and Unicode

Total characters4409
Distinct characters28
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)60.0%

Sample

1st row화+목 11:30~12:30
2nd row화+목 10:30~11:30
3rd row금 11:00~12:30
4th row금 09:30~11:00
5th row화 10:00~11:30
ValueCountFrequency (%)
수 48
 
7.4%
금 42
 
6.5%
월 42
 
6.5%
화+목 39
 
6.0%
10:00~12:00 37
 
5.7%
화 32
 
4.9%
목 32
 
4.9%
25
 
3.9%
월+수 17
 
2.6%
10:00~11:30 15
 
2.3%
Other values (136) 320
49.3%
2023-12-13T08:06:19.189319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1160
26.3%
1 682
15.5%
: 632
14.3%
370
 
8.4%
~ 316
 
7.2%
3 187
 
4.2%
+ 113
 
2.6%
2 110
 
2.5%
5 109
 
2.5%
월 90
 
2.0%
Other values (18) 640
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2486
56.4%
Other Punctuation 634
 
14.4%
Other Letter 446
 
10.1%
Math Symbol 429
 
9.7%
Space Separator 370
 
8.4%
Close Punctuation 19
 
0.4%
Open Punctuation 19
 
0.4%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1160
46.7%
1 682
27.4%
3 187
 
7.5%
2 110
 
4.4%
5 109
 
4.4%
4 85
 
3.4%
6 62
 
2.5%
7 38
 
1.5%
9 37
 
1.5%
8 16
 
0.6%
Other Letter
ValueCountFrequency (%)
월 90
20.2%
수 86
19.3%
화 80
17.9%
목 78
17.5%
금 78
17.5%
주 14
 
3.1%
매 14
 
3.1%
토 4
 
0.9%
평 1
 
0.2%
일 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 632
99.7%
; 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 316
73.7%
+ 113
 
26.3%
Space Separator
ValueCountFrequency (%)
370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3963
89.9%
Hangul 446
 
10.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1160
29.3%
1 682
17.2%
: 632
15.9%
370
 
9.3%
~ 316
 
8.0%
3 187
 
4.7%
+ 113
 
2.9%
2 110
 
2.8%
5 109
 
2.8%
4 85
 
2.1%
Other values (8) 199
 
5.0%
Hangul
ValueCountFrequency (%)
월 90
20.2%
수 86
19.3%
화 80
17.9%
목 78
17.5%
금 78
17.5%
주 14
 
3.1%
매 14
 
3.1%
토 4
 
0.9%
평 1
 
0.2%
일 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3963
89.9%
Hangul 446
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1160
29.3%
1 682
17.2%
: 632
15.9%
370
 
9.3%
~ 316
 
8.0%
3 187
 
4.7%
+ 113
 
2.9%
2 110
 
2.8%
5 109
 
2.8%
4 85
 
2.1%
Other values (8) 199
 
5.0%
Hangul
ValueCountFrequency (%)
월 90
20.2%
수 86
19.3%
화 80
17.9%
목 78
17.5%
금 78
17.5%
주 14
 
3.1%
매 14
 
3.1%
토 4
 
0.9%
평 1
 
0.2%
일 1
 
0.2%

수강료
Categorical

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
20000
142 
15000
71 
25000
42 
무료
32 
10000
 
7

Length

Max length5
Median length5
Mean length4.6745763
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row20000
2nd row20000
3rd row15000
4th row15000
5th row15000

Common Values

ValueCountFrequency (%)
20000 142
48.1%
15000 71
24.1%
25000 42
 
14.2%
무료 32
 
10.8%
10000 7
 
2.4%
30000 1
 
0.3%

Length

2023-12-13T08:06:19.334461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:19.445982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20000 142
48.1%
15000 71
24.1%
25000 42
 
14.2%
무료 32
 
10.8%
10000 7
 
2.4%
30000 1
 
0.3%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.915254
Minimum6
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T08:06:19.563441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q115
median20
Q330
95-th percentile60
Maximum300
Range294
Interquartile range (IQR)15

Descriptive statistics

Standard deviation26.617272
Coefficient of variation (CV)0.95350277
Kurtosis48.431505
Mean27.915254
Median Absolute Deviation (MAD)7
Skewness6.0221758
Sum8235
Variance708.47919
MonotonicityNot monotonic
2023-12-13T08:06:19.700552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20 57
19.3%
30 49
16.6%
15 43
14.6%
25 25
8.5%
10 24
8.1%
40 17
 
5.8%
35 13
 
4.4%
12 8
 
2.7%
50 8
 
2.7%
26 6
 
2.0%
Other values (23) 45
15.3%
ValueCountFrequency (%)
6 2
 
0.7%
8 2
 
0.7%
9 1
 
0.3%
10 24
8.1%
12 8
 
2.7%
13 2
 
0.7%
14 3
 
1.0%
15 43
14.6%
16 4
 
1.4%
18 2
 
0.7%
ValueCountFrequency (%)
300 1
 
0.3%
200 1
 
0.3%
190 1
 
0.3%
150 1
 
0.3%
120 2
 
0.7%
70 4
1.4%
60 6
2.0%
53 1
 
0.3%
50 8
2.7%
45 2
 
0.7%

접수인원
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.454237
Minimum3
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T08:06:19.830520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median15
Q323
95-th percentile37.6
Maximum135
Range132
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15.519916
Coefficient of variation (CV)0.84099472
Kurtosis23.769863
Mean18.454237
Median Absolute Deviation (MAD)6
Skewness4.0854665
Sum5444
Variance240.8678
MonotonicityNot monotonic
2023-12-13T08:06:19.968577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 21
 
7.1%
8 19
 
6.4%
20 18
 
6.1%
9 17
 
5.8%
14 17
 
5.8%
15 15
 
5.1%
6 15
 
5.1%
12 15
 
5.1%
19 11
 
3.7%
25 10
 
3.4%
Other values (36) 137
46.4%
ValueCountFrequency (%)
3 1
 
0.3%
4 2
 
0.7%
5 9
3.1%
6 15
5.1%
7 10
3.4%
8 19
6.4%
9 17
5.8%
10 21
7.1%
11 10
3.4%
12 15
5.1%
ValueCountFrequency (%)
135 1
0.3%
126 1
0.3%
114 1
0.3%
83 1
0.3%
79 1
0.3%
71 1
0.3%
51 1
0.3%
50 2
0.7%
48 1
0.3%
45 1
0.3%

교육장소
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
목5동주민센터
33 
신정6동주민센터
28 
목2동주민센터
25 
신월6동주민센터
19 
목3동주민센터
18 
Other values (13)
172 

Length

Max length8
Median length8
Mean length7.6474576
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row목1동주민센터
2nd row목1동주민센터
3rd row목1동주민센터
4th row목1동주민센터
5th row목1동주민센터

Common Values

ValueCountFrequency (%)
목5동주민센터 33
 
11.2%
신정6동주민센터 28
 
9.5%
목2동주민센터 25
 
8.5%
신월6동주민센터 19
 
6.4%
목3동주민센터 18
 
6.1%
신정1동주민센터 18
 
6.1%
목4동주민센터 17
 
5.8%
신월5동주민센터 16
 
5.4%
신정2동주민센터 15
 
5.1%
신정7동주민센터 14
 
4.7%
Other values (8) 92
31.2%

Length

2023-12-13T08:06:20.134152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
목5동주민센터 33
 
11.2%
신정6동주민센터 28
 
9.5%
목2동주민센터 25
 
8.5%
신월6동주민센터 19
 
6.4%
목3동주민센터 18
 
6.1%
신정1동주민센터 18
 
6.1%
목4동주민센터 17
 
5.8%
신월5동주민센터 16
 
5.4%
신정2동주민센터 15
 
5.1%
신정4동주민센터 14
 
4.7%
Other values (8) 92
31.2%

주소
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
서울특별시 양천구 목5동 목동서로 41
33 
서울특별시 양천구 목동서로 353
28 
서울특별시 양천구 목동중앙본로 120
25 
서울시 양천구 남부순환로83길 53
19 
서울특별시 양천구 목동중앙남로16나길 55
18 
Other values (13)
172 

Length

Max length23
Median length21
Mean length19.00339
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울시 양천구 목동서로 192
2nd row서울시 양천구 목동서로 192
3rd row서울시 양천구 목동서로 192
4th row서울시 양천구 목동서로 192
5th row서울시 양천구 목동서로 192

Common Values

ValueCountFrequency (%)
서울특별시 양천구 목5동 목동서로 41 33
 
11.2%
서울특별시 양천구 목동서로 353 28
 
9.5%
서울특별시 양천구 목동중앙본로 120 25
 
8.5%
서울시 양천구 남부순환로83길 53 19
 
6.4%
서울특별시 양천구 목동중앙남로16나길 55 18
 
6.1%
서울특별시 양천구 중앙로32길 1 18
 
6.1%
서울특별시 양천구 목동중앙로 25 17
 
5.8%
서울특별시 양천구 화곡로4길 10 16
 
5.4%
서울특별시 양천구 목동동로 152 15
 
5.1%
서울특별시 양천구 목동동로 37 14
 
4.7%
Other values (8) 92
31.2%

Length

2023-12-13T08:06:20.573914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양천구 295
24.5%
서울특별시 265
22.0%
목동서로 72
 
6.0%
목5동 33
 
2.7%
41 33
 
2.7%
서울시 30
 
2.5%
목동동로 29
 
2.4%
353 28
 
2.3%
120 25
 
2.1%
목동중앙본로 25
 
2.1%
Other values (26) 368
30.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.539488
Minimum37.5144
Maximum39.524697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T08:06:20.691620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.5144
5-th percentile37.515147
Q137.519213
median37.532433
Q337.537183
95-th percentile37.546143
Maximum39.524697
Range2.010297
Interquartile range (IQR)0.01797

Descriptive statistics

Standard deviation0.13004807
Coefficient of variation (CV)0.0034643006
Kurtosis196.90992
Mean37.539488
Median Absolute Deviation (MAD)0.007875
Skewness13.668959
Sum11074.149
Variance0.016912501
MonotonicityNot monotonic
2023-12-13T08:06:20.859569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
37.537183 33
11.2%
37.53363 29
 
9.8%
37.517058 28
 
9.5%
37.5461434 25
 
8.5%
37.51857 18
 
6.1%
37.54474 18
 
6.1%
37.532433 17
 
5.8%
37.538583 16
 
5.4%
37.519213 15
 
5.1%
37.524558 14
 
4.7%
Other values (9) 82
27.8%
ValueCountFrequency (%)
37.5144 14
4.7%
37.515147 13
4.4%
37.517058 28
9.5%
37.51857 18
6.1%
37.519213 15
5.1%
37.521882 10
 
3.4%
37.524558 14
4.7%
37.524697 11
 
3.7%
37.524973 11
 
3.7%
37.5303645 11
 
3.7%
ValueCountFrequency (%)
39.524697 1
 
0.3%
38.524697 1
 
0.3%
37.5461434 25
8.5%
37.54474 18
6.1%
37.538583 16
5.4%
37.537183 33
11.2%
37.53363 29
9.8%
37.532804 10
 
3.4%
37.532433 17
5.8%
37.5303645 11
 
3.7%

경도
Real number (ℝ)

Distinct20
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.86683
Minimum126.82717
Maximum128.84008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T08:06:21.043979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82717
5-th percentile126.82727
Q1126.84008
median126.86439
Q3126.87067
95-th percentile126.88172
Maximum128.84008
Range2.012906
Interquartile range (IQR)0.030594

Descriptive statistics

Standard deviation0.12987823
Coefficient of variation (CV)0.0010237367
Kurtosis192.88458
Mean126.86683
Median Absolute Deviation (MAD)0.009598
Skewness13.445302
Sum37425.716
Variance0.016868354
MonotonicityNot monotonic
2023-12-13T08:06:21.205935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
126.881717 33
 
11.2%
126.829081 29
 
9.8%
126.864388 28
 
9.5%
126.8717 25
 
8.5%
126.864437 18
 
6.1%
126.854286 18
 
6.1%
126.868397 17
 
5.8%
126.827173 15
 
5.1%
126.870673 15
 
5.1%
126.855804 14
 
4.7%
Other values (10) 83
28.1%
ValueCountFrequency (%)
126.827173 15
5.1%
126.827308 1
 
0.3%
126.829081 29
9.8%
126.831526 10
 
3.4%
126.834709 10
 
3.4%
126.840079 11
 
3.7%
126.84456 11
 
3.7%
126.854286 18
6.1%
126.85479 13
4.4%
126.855804 14
4.7%
ValueCountFrequency (%)
128.840079 1
 
0.3%
127.840079 1
 
0.3%
126.881717 33
11.2%
126.8717 25
8.5%
126.8711885 11
 
3.7%
126.870673 15
5.1%
126.868397 17
5.8%
126.864437 18
6.1%
126.864388 28
9.5%
126.859669 14
4.7%

Interactions

2023-12-13T08:06:15.898423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:13.887765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.382866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.937511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.410131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:16.005610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:13.972970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.488347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.032923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.498404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:16.104852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.068444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.593739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.135152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.606171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:16.208058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.172370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.726124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.232165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.706516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:16.331362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.265602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:14.833377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.323627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:15.802872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:06:21.331983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호교육기관수강대상수강료정원접수인원교육장소주소위도경도
번호1.0000.9710.2240.3210.2700.1350.9680.9680.0000.000
교육기관0.9711.0000.1940.5720.4490.3371.0001.0000.2190.219
수강대상0.2240.1941.0000.6370.0000.0000.2360.2360.1280.128
수강료0.3210.5720.6371.0000.0000.2500.6410.6410.2490.249
정원0.2700.4490.0000.0001.0000.8660.4600.4600.0000.000
접수인원0.1350.3370.0000.2500.8661.0000.3590.3590.0220.022
교육장소0.9681.0000.2360.6410.4600.3591.0001.0000.2780.278
주소0.9681.0000.2360.6410.4600.3591.0001.0000.2780.278
위도0.0000.2190.1280.2490.0000.0220.2780.2781.0001.000
경도0.0000.2190.1280.2490.0000.0220.2780.2781.0001.000
2023-12-13T08:06:21.501517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소수강대상수강료교육기관교육장소
주소1.0000.0980.3060.9981.000
수강대상0.0981.0000.4190.0800.098
수강료0.3060.4191.0000.3010.306
교육기관0.9980.0800.3011.0000.998
교육장소1.0000.0980.3060.9981.000
2023-12-13T08:06:21.638495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호정원접수인원위도경도교육기관수강대상수강료교육장소주소
번호1.000-0.130-0.068-0.813-0.4150.8310.1080.1730.8330.833
정원-0.1301.0000.6440.2130.0460.2120.0000.0000.2200.220
접수인원-0.0680.6441.0000.061-0.0070.1440.0000.1410.1560.156
위도-0.8130.2130.0611.0000.2480.1140.0800.1050.1280.128
경도-0.4150.046-0.0070.2481.0000.1140.0800.1050.1280.128
교육기관0.8310.2120.1440.1140.1141.0000.0800.3010.9980.998
수강대상0.1080.0000.0000.0800.0800.0801.0000.4190.0980.098
수강료0.1730.0000.1410.1050.1050.3010.4191.0000.3060.306
교육장소0.8330.2200.1560.1280.1280.9980.0980.3061.0001.000
주소0.8330.2200.1560.1280.1280.9980.0980.3061.0001.000

Missing values

2023-12-13T08:06:16.493968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:06:16.696497image/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

번호교육기관강좌명수강대상교육시작일교육종료일교육요일수강료정원접수인원교육장소주소위도경도
01목1동라인댄스(초급)일반2023-01-012023-12-31화+목 11:30~12:30200002525목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
12목1동라인댄스(중급)일반2023-01-012023-12-31화+목 10:30~11:30200002525목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
23목1동일본어(초급)일반2023-01-012023-12-31금 11:00~12:30150001817목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
34목1동일본어(중급)일반2023-01-012023-12-31금 09:30~11:00150001815목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
45목1동중국어일반2023-01-012023-12-31화 10:00~11:3015000146목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
56목1동탁구교실일반2023-01-012023-12-31수+금 14:00~16:00200002323목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
67목1동요가교실일반2023-01-012023-12-31월+수+금 11:40~12:40200002828목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
78목1동노래교실일반2023-01-012023-12-31월 14:30 ~ 16:00150002523목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
89목1동어르신컴퓨터어르신2023-01-012023-12-31수 13:00~14:30무료1512목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
910목1동우리춤체조어르신2023-01-012023-12-31수 10:00~11:30무료1518목1동주민센터서울시 양천구 목동서로 19237.530364126.871189
번호교육기관강좌명수강대상교육시작일교육종료일교육요일수강료정원접수인원교육장소주소위도경도
285286신정7동탁구교실(중급)일반2023-01-012023-12-31매주 토(10:00~12:00)100002017신정7동주민센터서울특별시 양천구 목동동로 3737.5144126.859669
286287신정7동라인댄스(A반)일반2023-01-012023-12-31매주 화+목(14:00~15:00)200003014신정7동주민센터서울특별시 양천구 목동동로 3737.5144126.859669
287288신정7동라인댄스(B반)일반2023-01-012023-12-31매주 화+목(15:00~16:00)200003022신정7동주민센터서울특별시 양천구 목동동로 3737.5144126.859669
288289신정7동팝송교실일반2023-01-012023-12-31매주 수(10:00~11:30)200002020신정7동주민센터서울특별시 양천구 목동동로 3737.5144126.859669
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