Overview

Dataset statistics

Number of variables14
Number of observations2133
Missing cells2125
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory243.8 KiB
Average record size in memory117.1 B

Variable types

Categorical7
Text3
Numeric4

Dataset

Description송파구 행정동별 자치회관 강좌 현황으로 연도, 행정동, 프로그램명, 대상, 운영시간, 수강정원, 총 수강인원, 월 수강료 등 정보
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15037769/fileData.do

Alerts

행정동명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
프로그램기간 is highly overall correlated with 연도High correlation
연도 is highly overall correlated with 프로그램기간High correlation
주소 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
강의장소 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 행정동명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 행정동명 and 2 other fieldsHigh correlation
대상 is highly imbalanced (79.2%)Imbalance
비고 has 2125 (99.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:55:24.229444
Analysis finished2023-12-12 15:55:28.309025
Duration4.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2020
735 
2019
706 
2018
692 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2020 735
34.5%
2019 706
33.1%
2018 692
32.4%

Length

2023-12-13T00:55:28.394681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:55:28.521452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 735
34.5%
2019 706
33.1%
2018 692
32.4%

행정동명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
잠실3동
177 
잠실2동
172 
잠실4동
145 
위례동
 
115
송파2동
 
104
Other values (22)
1420 

Length

Max length4
Median length4
Mean length3.7754337
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row풍납1동
2nd row풍납1동
3rd row풍납1동
4th row풍납1동
5th row풍납1동

Common Values

ValueCountFrequency (%)
잠실3동 177
 
8.3%
잠실2동 172
 
8.1%
잠실4동 145
 
6.8%
위례동 115
 
5.4%
송파2동 104
 
4.9%
거여2동 92
 
4.3%
장지동 90
 
4.2%
석촌동 90
 
4.2%
방이1동 89
 
4.2%
풍납2동 87
 
4.1%
Other values (17) 972
45.6%

Length

2023-12-13T00:55:28.684471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
잠실3동 177
 
8.3%
잠실2동 172
 
8.1%
잠실4동 145
 
6.8%
위례동 115
 
5.4%
송파2동 104
 
4.9%
거여2동 92
 
4.3%
장지동 90
 
4.2%
석촌동 90
 
4.2%
방이1동 89
 
4.2%
풍납2동 87
 
4.1%
Other values (17) 972
45.6%

프로그램명
Text

Distinct815
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T00:55:29.044788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length6.806376
Min length2

Characters and Unicode

Total characters14518
Distinct characters308
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)12.3%

Sample

1st row건강댄스(A반)
2nd row건강댄스(B반)
3rd row난타교실(초급)
4th row난타교실(중급
5th row노래교실
ValueCountFrequency (%)
2관 83
 
3.0%
노래교실 58
 
2.1%
1관 50
 
1.8%
a 46
 
1.7%
요가 46
 
1.7%
b 40
 
1.5%
라인댄스 37
 
1.3%
헬스 34
 
1.2%
초급 32
 
1.2%
중급 27
 
1.0%
Other values (734) 2293
83.5%
2023-12-13T00:55:29.610113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 747
 
5.1%
) 745
 
5.1%
612
 
4.2%
스 561
 
3.9%
급 434
 
3.0%
어 429
 
3.0%
실 384
 
2.6%
교 375
 
2.6%
댄 366
 
2.5%
초 316
 
2.2%
Other values (298) 9549
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11048
76.1%
Open Punctuation 921
 
6.3%
Close Punctuation 919
 
6.3%
Space Separator 612
 
4.2%
Uppercase Letter 516
 
3.6%
Decimal Number 309
 
2.1%
Dash Punctuation 87
 
0.6%
Other Punctuation 80
 
0.6%
Control 12
 
0.1%
Lowercase Letter 10
 
0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 561
 
5.1%
급 434
 
3.9%
어 429
 
3.9%
실 384
 
3.5%
교 375
 
3.4%
댄 366
 
3.3%
초 316
 
2.9%
요 315
 
2.9%
중 285
 
2.6%
반 275
 
2.5%
Other values (259) 7308
66.1%
Uppercase Letter
ValueCountFrequency (%)
A 213
41.3%
B 208
40.3%
C 56
 
10.9%
D 18
 
3.5%
S 5
 
1.0%
E 3
 
0.6%
O 3
 
0.6%
N 3
 
0.6%
P 3
 
0.6%
R 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 157
50.8%
1 101
32.7%
3 12
 
3.9%
0 9
 
2.9%
8 9
 
2.9%
7 6
 
1.9%
9 6
 
1.9%
4 3
 
1.0%
5 3
 
1.0%
6 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 27
33.8%
/ 24
30.0%
& 13
16.2%
. 10
 
12.5%
· 4
 
5.0%
* 2
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
b 4
40.0%
c 2
20.0%
Open Punctuation
ValueCountFrequency (%)
( 747
81.1%
[ 174
 
18.9%
Close Punctuation
ValueCountFrequency (%)
) 745
81.1%
] 174
 
18.9%
Space Separator
ValueCountFrequency (%)
612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11048
76.1%
Common 2944
 
20.3%
Latin 526
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 561
 
5.1%
급 434
 
3.9%
어 429
 
3.9%
실 384
 
3.5%
교 375
 
3.4%
댄 366
 
3.3%
초 316
 
2.9%
요 315
 
2.9%
중 285
 
2.6%
반 275
 
2.5%
Other values (259) 7308
66.1%
Common
ValueCountFrequency (%)
( 747
25.4%
) 745
25.3%
612
20.8%
] 174
 
5.9%
[ 174
 
5.9%
2 157
 
5.3%
1 101
 
3.4%
- 87
 
3.0%
, 27
 
0.9%
/ 24
 
0.8%
Other values (15) 96
 
3.3%
Latin
ValueCountFrequency (%)
A 213
40.5%
B 208
39.5%
C 56
 
10.6%
D 18
 
3.4%
S 5
 
1.0%
a 4
 
0.8%
b 4
 
0.8%
E 3
 
0.6%
O 3
 
0.6%
N 3
 
0.6%
Other values (4) 9
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11048
76.1%
ASCII 3466
 
23.9%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 747
21.6%
) 745
21.5%
612
17.7%
A 213
 
6.1%
B 208
 
6.0%
] 174
 
5.0%
[ 174
 
5.0%
2 157
 
4.5%
1 101
 
2.9%
- 87
 
2.5%
Other values (28) 248
 
7.2%
Hangul
ValueCountFrequency (%)
스 561
 
5.1%
급 434
 
3.9%
어 429
 
3.9%
실 384
 
3.5%
교 375
 
3.4%
댄 366
 
3.3%
초 316
 
2.9%
요 315
 
2.9%
중 285
 
2.6%
반 275
 
2.5%
Other values (259) 7308
66.1%
None
ValueCountFrequency (%)
· 4
100.0%

대상
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
성인
1947 
청소년
 
82
아동
 
39
유아
 
21
아동/청소년
 
18
Other values (3)
 
26

Length

Max length6
Median length2
Mean length2.0904829
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성인 1947
91.3%
청소년 82
 
3.8%
아동 39
 
1.8%
유아 21
 
1.0%
아동/청소년 18
 
0.8%
초등 15
 
0.7%
성인/청소년 6
 
0.3%
유아/아동 5
 
0.2%

Length

2023-12-13T00:55:29.834164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:55:30.006446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 1947
91.3%
청소년 82
 
3.8%
아동 39
 
1.8%
유아 21
 
1.0%
아동/청소년 18
 
0.8%
초등 15
 
0.7%
성인/청소년 6
 
0.3%
유아/아동 5
 
0.2%

운영시간
Text

Distinct883
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T00:55:30.312996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length15.573371
Min length9

Characters and Unicode

Total characters33218
Distinct characters32
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique442 ?
Unique (%)20.7%

Sample

1st row월,수(15:30~17:00)
2nd row수,금(13:50~15:20)
3rd row수(12:00~13:30)
4th row금(10:00~11:30)
5th row금(10:30~12:00)
ValueCountFrequency (%)
목 74
 
2.7%
화 70
 
2.6%
수 56
 
2.1%
월 55
 
2.0%
월,수,금 40
 
1.5%
금 37
 
1.4%
37
 
1.4%
화,목 36
 
1.3%
목(10:00~12:00 27
 
1.0%
10:00~12:00 26
 
1.0%
Other values (716) 2249
83.1%
2023-12-13T00:55:30.836756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7599
22.9%
1 4404
13.3%
: 4341
13.1%
~ 2273
 
6.8%
( 1987
 
6.0%
) 1983
 
6.0%
3 1583
 
4.8%
, 1156
 
3.5%
2 859
 
2.6%
월 794
 
2.4%
Other values (22) 6239
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17357
52.3%
Other Punctuation 5545
 
16.7%
Other Letter 3483
 
10.5%
Math Symbol 2276
 
6.9%
Open Punctuation 1987
 
6.0%
Close Punctuation 1983
 
6.0%
Space Separator 529
 
1.6%
Control 54
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7599
43.8%
1 4404
25.4%
3 1583
 
9.1%
2 859
 
4.9%
5 702
 
4.0%
4 595
 
3.4%
6 426
 
2.5%
7 419
 
2.4%
9 401
 
2.3%
8 369
 
2.1%
Other Letter
ValueCountFrequency (%)
월 794
22.8%
금 725
20.8%
수 689
19.8%
화 612
17.6%
목 601
17.3%
토 28
 
0.8%
일 17
 
0.5%
요 9
 
0.3%
시 8
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 4341
78.3%
, 1156
 
20.8%
* 25
 
0.5%
/ 10
 
0.2%
. 10
 
0.2%
; 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 2273
99.9%
～ 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1987
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1983
100.0%
Space Separator
ValueCountFrequency (%)
529
100.0%
Control
ValueCountFrequency (%)
54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29735
89.5%
Hangul 3483
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7599
25.6%
1 4404
14.8%
: 4341
14.6%
~ 2273
 
7.6%
( 1987
 
6.7%
) 1983
 
6.7%
3 1583
 
5.3%
, 1156
 
3.9%
2 859
 
2.9%
5 702
 
2.4%
Other values (13) 2848
 
9.6%
Hangul
ValueCountFrequency (%)
월 794
22.8%
금 725
20.8%
수 689
19.8%
화 612
17.6%
목 601
17.3%
토 28
 
0.8%
일 17
 
0.5%
요 9
 
0.3%
시 8
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29732
89.5%
Hangul 3483
 
10.5%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7599
25.6%
1 4404
14.8%
: 4341
14.6%
~ 2273
 
7.6%
( 1987
 
6.7%
) 1983
 
6.7%
3 1583
 
5.3%
, 1156
 
3.9%
2 859
 
2.9%
5 702
 
2.4%
Other values (12) 2845
 
9.6%
Hangul
ValueCountFrequency (%)
월 794
22.8%
금 725
20.8%
수 689
19.8%
화 612
17.6%
목 601
17.3%
토 28
 
0.8%
일 17
 
0.5%
요 9
 
0.3%
시 8
 
0.2%
None
ValueCountFrequency (%)
～ 3
100.0%

수강정원(명)
Categorical

Distinct38
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
20
620 
30
446 
25
270 
15
195 
40
144 
Other values (33)
458 

Length

Max length3
Median length2
Mean length2.0089076
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
20 620
29.1%
30 446
20.9%
25 270
12.7%
15 195
 
9.1%
40 144
 
6.8%
35 74
 
3.5%
28 71
 
3.3%
50 57
 
2.7%
14 57
 
2.7%
12 42
 
2.0%
Other values (28) 157
 
7.4%

Length

2023-12-13T00:55:31.055264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20 620
29.1%
30 446
20.9%
25 270
12.7%
15 195
 
9.1%
40 144
 
6.8%
35 74
 
3.5%
28 71
 
3.3%
50 57
 
2.7%
14 57
 
2.7%
12 42
 
2.0%
Other values (27) 156
 
7.3%

총 수강인원(명)
Real number (ℝ)

Distinct404
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.624
Minimum0
Maximum2891
Zeros8
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size18.9 KiB
2023-12-13T00:55:31.258588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q121
median77
Q3175
95-th percentile363
Maximum2891
Range2891
Interquartile range (IQR)154

Descriptive statistics

Standard deviation164.61031
Coefficient of variation (CV)1.3208556
Kurtosis56.210532
Mean124.624
Median Absolute Deviation (MAD)63
Skewness5.307617
Sum265823
Variance27096.554
MonotonicityNot monotonic
2023-12-13T00:55:31.501652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 54
 
2.5%
15 51
 
2.4%
12 42
 
2.0%
10 38
 
1.8%
11 37
 
1.7%
14 32
 
1.5%
9 30
 
1.4%
18 28
 
1.3%
28 27
 
1.3%
25 27
 
1.3%
Other values (394) 1767
82.8%
ValueCountFrequency (%)
0 8
 
0.4%
1 2
 
0.1%
2 3
 
0.1%
3 7
 
0.3%
4 11
 
0.5%
5 11
 
0.5%
6 21
1.0%
7 23
1.1%
8 26
1.2%
9 30
1.4%
ValueCountFrequency (%)
2891 1
< 0.1%
1752 1
< 0.1%
1653 1
< 0.1%
1472 1
< 0.1%
1387 1
< 0.1%
1379 1
< 0.1%
1283 1
< 0.1%
1260 2
0.1%
1247 1
< 0.1%
1188 1
< 0.1%

월 수강료(원)
Real number (ℝ)

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20787.154
Minimum0
Maximum40000
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size18.9 KiB
2023-12-13T00:55:31.682595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15000
Q120000
median20000
Q325000
95-th percentile30000
Maximum40000
Range40000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation4712.4326
Coefficient of variation (CV)0.22669926
Kurtosis0.94949374
Mean20787.154
Median Absolute Deviation (MAD)4000
Skewness0.10334713
Sum44339000
Variance22207021
MonotonicityNot monotonic
2023-12-13T00:55:31.860997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20000 948
44.4%
15000 399
18.7%
25000 393
18.4%
30000 144
 
6.8%
22000 51
 
2.4%
10000 41
 
1.9%
28000 40
 
1.9%
17000 31
 
1.5%
27000 31
 
1.5%
24000 25
 
1.2%
Other values (5) 30
 
1.4%
ValueCountFrequency (%)
0 6
 
0.3%
10000 41
 
1.9%
15000 399
18.7%
17000 31
 
1.5%
18000 13
 
0.6%
20000 948
44.4%
22000 51
 
2.4%
24000 25
 
1.2%
25000 393
18.4%
27000 31
 
1.5%
ValueCountFrequency (%)
40000 2
 
0.1%
37000 2
 
0.1%
35000 7
 
0.3%
30000 144
 
6.8%
28000 40
 
1.9%
27000 31
 
1.5%
25000 393
18.4%
24000 25
 
1.2%
22000 51
 
2.4%
20000 948
44.4%

프로그램기간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2020년 1월 ~ 12월
713 
2019년 1월 ~ 12월
706 
2018년 1월 ~ 12월
692 
2020년 1월 ~ 8월
 
22

Length

Max length14
Median length14
Mean length13.989686
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018년 1월 ~ 12월
2nd row2018년 1월 ~ 12월
3rd row2018년 1월 ~ 12월
4th row2018년 1월 ~ 12월
5th row2018년 1월 ~ 12월

Common Values

ValueCountFrequency (%)
2020년 1월 ~ 12월 713
33.4%
2019년 1월 ~ 12월 706
33.1%
2018년 1월 ~ 12월 692
32.4%
2020년 1월 ~ 8월 22
 
1.0%

Length

2023-12-13T00:55:32.052359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:55:32.204803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1월 2133
25.0%
2133
25.0%
12월 2111
24.7%
2020년 735
 
8.6%
2019년 706
 
8.3%
2018년 692
 
8.1%
8월 22
 
0.3%

강의장소
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
잠실3동 주민센터
177 
잠실2동 주민센터
172 
잠실4동 주민센터
145 
위례동 주민센터
 
115
송파2동 주민센터
 
104
Other values (22)
1420 

Length

Max length9
Median length9
Mean length8.7754337
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row풍납1동 주민센터
2nd row풍납1동 주민센터
3rd row풍납1동 주민센터
4th row풍납1동 주민센터
5th row풍납1동 주민센터

Common Values

ValueCountFrequency (%)
잠실3동 주민센터 177
 
8.3%
잠실2동 주민센터 172
 
8.1%
잠실4동 주민센터 145
 
6.8%
위례동 주민센터 115
 
5.4%
송파2동 주민센터 104
 
4.9%
거여2동 주민센터 92
 
4.3%
장지동 주민센터 90
 
4.2%
석촌동 주민센터 90
 
4.2%
방이1동 주민센터 89
 
4.2%
풍납2동 주민센터 87
 
4.1%
Other values (17) 972
45.6%

Length

2023-12-13T00:55:32.349481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민센터 2133
50.0%
잠실3동 177
 
4.1%
잠실2동 172
 
4.0%
잠실4동 145
 
3.4%
위례동 115
 
2.7%
송파2동 104
 
2.4%
거여2동 92
 
2.2%
장지동 90
 
2.1%
석촌동 90
 
2.1%
방이1동 89
 
2.1%
Other values (18) 1059
24.8%

주소
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
서울특별시 송파구 올림픽로 159(잠실동)
172 
서울특별시 송파구 석촌호수로 155, 잠실3동자치회관2관 (잠실동)
156 
서울특별시 송파구 올림픽로 35길 16(신천동)
145 
서울특별시 송파구 천호대로 152길 7(풍납동)
 
138
서울특별시 송파구 위례광장로 210(장지동)
 
115
Other values (24)
1407 

Length

Max length38
Median length37
Mean length25.257853
Min length21

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row서울특별시 송파구 천호대로 152길 7(풍납동)
2nd row서울특별시 송파구 천호대로 152길 7(풍납동)
3rd row서울특별시 송파구 천호대로 152길 7(풍납동)
4th row서울특별시 송파구 천호대로 152길 7(풍납동)
5th row서울특별시 송파구 천호대로 152길 7(풍납동)

Common Values

ValueCountFrequency (%)
서울특별시 송파구 올림픽로 159(잠실동) 172
 
8.1%
서울특별시 송파구 석촌호수로 155, 잠실3동자치회관2관 (잠실동) 156
 
7.3%
서울특별시 송파구 올림픽로 35길 16(신천동) 145
 
6.8%
서울특별시 송파구 천호대로 152길 7(풍납동) 138
 
6.5%
서울특별시 송파구 위례광장로 210(장지동) 115
 
5.4%
서울특별시 송파구 송이로 32(송파동) 104
 
4.9%
서울특별시 송파구 거마로2길 19(거여동) 92
 
4.3%
서울특별시 송파구 새말로 19길 6(문정동) 90
 
4.2%
서울특별시 송파구 백제고분로 37길 16(석촌동) 89
 
4.2%
서울특별시 송파구 위례성대로 16길 22(방이동) 89
 
4.2%
Other values (19) 943
44.2%

Length

2023-12-13T00:55:32.512659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 2133
21.9%
송파구 2133
21.9%
올림픽로 317
 
3.3%
백제고분로 284
 
2.9%
중대로 223
 
2.3%
159(잠실동 172
 
1.8%
155 156
 
1.6%
잠실3동자치회관2관 156
 
1.6%
잠실동 156
 
1.6%
석촌호수로 156
 
1.6%
Other values (55) 3857
39.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.505994
Minimum37.481165
Maximum37.53807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.9 KiB
2023-12-13T00:55:32.701599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.481165
5-th percentile37.481165
Q137.496612
median37.506141
Q337.514552
95-th percentile37.53807
Maximum37.53807
Range0.0569048
Interquartile range (IQR)0.01794043

Descriptive statistics

Standard deviation0.013644362
Coefficient of variation (CV)0.0003637915
Kurtosis0.13301952
Mean37.505994
Median Absolute Deviation (MAD)0.00920272
Skewness0.42615825
Sum80000.285
Variance0.00018616861
MonotonicityNot monotonic
2023-12-13T00:55:32.885909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51189615 172
 
8.1%
37.5072682 156
 
7.3%
37.52015847 145
 
6.8%
37.53806987 138
 
6.5%
37.48116507 115
 
5.4%
37.50231606 104
 
4.9%
37.4935326 92
 
4.3%
37.50356529 90
 
4.2%
37.48696736 90
 
4.2%
37.51097748 89
 
4.2%
Other values (47) 942
44.2%
ValueCountFrequency (%)
37.48116507 115
5.4%
37.48696736 90
4.2%
37.48987846 79
3.7%
37.49007127 47
2.2%
37.4935326 92
4.3%
37.49557772 62
2.9%
37.49601274 36
 
1.7%
37.4966 1
 
< 0.1%
37.496601 1
 
< 0.1%
37.496602 1
 
< 0.1%
ValueCountFrequency (%)
37.53806987 138
6.5%
37.52875421 30
 
1.4%
37.52015847 145
6.8%
37.51811765 77
3.6%
37.51544723 73
3.4%
37.51455243 73
3.4%
37.51330109 21
 
1.0%
37.51189615 172
8.1%
37.51097748 89
4.2%
37.50867282 21
 
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.1163
Minimum127.07709
Maximum127.14995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.9 KiB
2023-12-13T00:55:33.109827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.07709
5-th percentile127.08854
Q1127.10064
median127.11674
Q3127.12808
95-th percentile127.14682
Maximum127.14995
Range0.0728651
Interquartile range (IQR)0.0274453

Descriptive statistics

Standard deviation0.018698384
Coefficient of variation (CV)0.00014709667
Kurtosis-0.87832881
Mean127.1163
Median Absolute Deviation (MAD)0.0130492
Skewness0.001234653
Sum271139.07
Variance0.00034962955
MonotonicityNot monotonic
2023-12-13T00:55:33.293093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0885433 172
 
8.1%
127.0942189 156
 
7.3%
127.1122307 145
 
6.8%
127.1220726 138
 
6.5%
127.1439372 115
 
5.4%
127.1167353 104
 
4.9%
127.146824 92
 
4.3%
127.1036861 90
 
4.2%
127.1324391 90
 
4.2%
127.1239065 89
 
4.2%
Other values (47) 942
44.2%
ValueCountFrequency (%)
127.0770893 21
 
1.0%
127.084327 58
 
2.7%
127.0885433 172
8.1%
127.0925224 39
 
1.8%
127.0942189 156
7.3%
127.0943765 21
 
1.0%
127.1006386 77
3.6%
127.1036861 90
4.2%
127.1093064 63
 
3.0%
127.109953 1
 
< 0.1%
ValueCountFrequency (%)
127.1499544 36
 
1.7%
127.1485322 39
 
1.8%
127.146824 92
4.3%
127.1439372 115
5.4%
127.143303 50
2.3%
127.1343264 73
3.4%
127.1324391 90
4.2%
127.1280839 72
3.4%
127.1266099 72
3.4%
127.1241789 47
2.2%

비고
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing2125
Missing (%)99.6%
Memory size16.8 KiB
2023-12-13T00:55:33.500905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters40
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st row3월 폐강
2nd row3월 폐강
3rd row4월 신설
4th row4월 폐강
5th row5월 신설
ValueCountFrequency (%)
신설 4
25.0%
폐강 4
25.0%
5월 3
18.8%
4월 3
18.8%
3월 2
12.5%
2023-12-13T00:55:33.753811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 8
20.0%
8
20.0%
신 4
10.0%
설 4
10.0%
폐 4
10.0%
강 4
10.0%
5 3
 
7.5%
4 3
 
7.5%
3 2
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
60.0%
Space Separator 8
 
20.0%
Decimal Number 8
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 8
33.3%
신 4
16.7%
설 4
16.7%
폐 4
16.7%
강 4
16.7%
Decimal Number
ValueCountFrequency (%)
5 3
37.5%
4 3
37.5%
3 2
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
60.0%
Common 16
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 8
33.3%
신 4
16.7%
설 4
16.7%
폐 4
16.7%
강 4
16.7%
Common
ValueCountFrequency (%)
8
50.0%
5 3
 
18.8%
4 3
 
18.8%
3 2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
60.0%
ASCII 16
40.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 8
33.3%
신 4
16.7%
설 4
16.7%
폐 4
16.7%
강 4
16.7%
ASCII
ValueCountFrequency (%)
8
50.0%
5 3
 
18.8%
4 3
 
18.8%
3 2
 
12.5%

Interactions

2023-12-13T00:55:27.310268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:25.816529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.319986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.810962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:27.448785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:25.937181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.468349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.906949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:27.625544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.094735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.590737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:27.037700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:27.732801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.197158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:26.701027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:55:27.186936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:55:34.162620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도행정동명대상수강정원(명)총 수강인원(명)월 수강료(원)프로그램기간강의장소주소위도경도비고
연도1.0000.1100.3250.0000.3090.1321.0000.1100.3270.2820.052NaN
행정동명0.1101.0000.4050.7990.1130.6980.5441.0000.9990.9991.0000.843
대상0.3250.4051.0000.4040.0000.1710.3820.4050.4040.2140.204NaN
수강정원(명)0.0000.7990.4041.0000.7890.6760.0000.7990.8100.6050.651NaN
총 수강인원(명)0.3090.1130.0000.7891.0000.0390.3550.1130.1090.0350.062NaN
월 수강료(원)0.1320.6980.1710.6760.0391.0000.1160.6980.6530.4880.5900.928
프로그램기간1.0000.5440.3820.0000.3550.1161.0000.5440.5840.2600.282NaN
강의장소0.1101.0000.4050.7990.1130.6980.5441.0000.9990.9991.0000.843
주소0.3270.9990.4040.8100.1090.6530.5840.9991.0001.0001.0000.843
위도0.2820.9990.2140.6050.0350.4880.2600.9991.0001.0000.9330.676
경도0.0521.0000.2040.6510.0620.5900.2821.0001.0000.9331.0000.475
비고NaN0.843NaNNaNNaN0.928NaN0.8430.8430.6760.4751.000
2023-12-13T00:55:34.306375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수강정원(명)행정동명프로그램기간연도대상주소강의장소
수강정원(명)1.0000.2920.0000.0000.1660.2950.292
행정동명0.2921.0000.3140.0500.1730.9841.000
프로그램기간0.0000.3141.0001.0000.1780.3420.314
연도0.0000.0501.0001.0000.2180.1740.050
대상0.1660.1730.1780.2181.0000.1710.173
주소0.2950.9840.3420.1740.1711.0000.984
강의장소0.2921.0000.3140.0500.1730.9841.000
2023-12-13T00:55:34.438602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총 수강인원(명)월 수강료(원)위도경도연도행정동명대상수강정원(명)프로그램기간강의장소주소
총 수강인원(명)1.0000.0630.009-0.0210.2060.0450.0000.4450.1650.0450.043
월 수강료(원)0.0631.000-0.085-0.1290.0580.3100.0840.3190.0740.3100.310
위도0.009-0.0851.000-0.4280.1290.9370.1060.2680.1690.9370.995
경도-0.021-0.129-0.4281.0000.0220.9870.1010.3000.1830.9870.995
연도0.2060.0580.1290.0221.0000.0500.2180.0001.0000.0500.174
행정동명0.0450.3100.9370.9870.0501.0000.1730.2920.3141.0000.984
대상0.0000.0840.1060.1010.2180.1731.0000.1660.1780.1730.171
수강정원(명)0.4450.3190.2680.3000.0000.2920.1661.0000.0000.2920.295
프로그램기간0.1650.0740.1690.1831.0000.3140.1780.0001.0000.3140.342
강의장소0.0450.3100.9370.9870.0501.0000.1730.2920.3141.0000.984
주소0.0430.3100.9950.9950.1740.9840.1710.2950.3420.9841.000

Missing values

2023-12-13T00:55:27.940662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:55:28.199702image/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

연도행정동명프로그램명대상운영시간수강정원(명)총 수강인원(명)월 수강료(원)프로그램기간강의장소주소위도경도비고
02018풍납1동건강댄스(A반)성인월,수(15:30~17:00)30400200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
12018풍납1동건강댄스(B반)성인수,금(13:50~15:20)30192200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
22018풍납1동난타교실(초급)성인수(12:00~13:30)30222200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
32018풍납1동난타교실(중급성인금(10:00~11:30)30133200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
42018풍납1동노래교실성인금(10:30~12:00)30454200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
52018풍납1동다이어트댄스성인월~금(10:40~11:40)30148300002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
62018풍납1동라인댄스(야간)성인화,목(19:00~20:30)30130200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
72018풍납1동라인댄스(주간반)성인월,수(10:00~11:30)30172200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
82018풍납1동사물민요반성인수(14:00~16:00)3012200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
92018풍납1동품바장구반(초급)성인화(14:00~15:30)2035200002018년 1월 ~ 12월풍납1동 주민센터서울특별시 송파구 천호대로 152길 7(풍납동)37.53807127.122073<NA>
연도행정동명프로그램명대상운영시간수강정원(명)총 수강인원(명)월 수강료(원)프로그램기간강의장소주소위도경도비고
21232020잠실6동클레이아트아동월(15:00~16:30)2015150002020년 1월 ~ 12월잠실6동 주민센터서울특별시 송파구 올림픽로35길 120(신천동)37.518118127.100639<NA>
21242020잠실6동수요난타성인수(12:00~14:00)2025200002020년 1월 ~ 12월잠실6동 주민센터서울특별시 송파구 올림픽로35길 120(신천동)37.518118127.100639<NA>
21252020잠실7동사진창작성인목(14:00~16:00)250200002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>
21262020잠실7동생활영어(초급)성인수(10:00~12:00)200200002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>
21272020잠실7동생활영어(중급)성인화,목(10:00~12:00)2010200002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>
21282020잠실7동수채화교실(금요반)성인금(13:00~16:00)2012300002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>
21292020잠실7동수채화교실(월요반)성인월(10:00~13:00)208300002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>
21302020잠실7동우쿨렐레성인화(15:00~17:00)208200002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>
21312020잠실7동한글서예성인수(10:00~12:00)255200002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>
21322020잠실7동합창반성인월(19:00~21:00)2015250002020년 1월 ~ 12월잠실7동 주민센터서울특별시 송파구 올림픽로4길 17, 상가2층 (잠실동,아시아선수촌)37.508673127.077089<NA>