Overview

Dataset statistics

Number of variables10
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory87.3 B

Variable types

Text1
DateTime4
Categorical3
Numeric2

Dataset

Description울산광역시 북구에 위치해 있는 세대공감창의놀이터에서 운영중인 프로그램 정보(프로그램명, 접수기간, 운영기간, 대상, 정원 등)입니다
Author울산광역시 북구
URLhttps://www.data.go.kr/data/15042434/fileData.do

Alerts

정원(명) is highly overall correlated with 운영 시간 and 1 other fieldsHigh correlation
이용비(원) is highly overall correlated with 운영 시간 and 1 other fieldsHigh correlation
운영요일 is highly overall correlated with 운영 시간High correlation
운영 시간 is highly overall correlated with 정원(명) and 3 other fieldsHigh correlation
이용연령 is highly overall correlated with 정원(명) and 2 other fieldsHigh correlation
프로그램명 has unique valuesUnique
이용비(원) has 1 (4.2%) zerosZeros

Reproduction

Analysis started2024-03-14 13:26:15.206079
Analysis finished2024-03-14 13:26:16.873255
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

프로그램명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-14T22:26:17.530686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.291667
Min length10

Characters and Unicode

Total characters295
Distinct characters66
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

Unique24 ?
Unique (%)100.0%

Sample

1st row[2~3월]힐링타로
2nd row[0224]참새방앗간_유아
3rd row[0224]참새방앗간_초등
4th row[0217]참새방앗간_유아
5th row[0217]참새방앗간_초등
ValueCountFrequency (%)
2~3월]힐링타로 1
 
4.2%
0224]참새방앗간_유아 1
 
4.2%
0220]방학놀이학교 1
 
4.2%
0216]방학놀이학교 1
 
4.2%
0215]방학놀이학교 1
 
4.2%
0217]조이앤조이 1
 
4.2%
0206]손바닥감각놀이터 1
 
4.2%
0206]감성화실 1
 
4.2%
0204]지구식탁_디저트 1
 
4.2%
0203]아뜨공작소 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T22:26:18.803643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
 
10.5%
2 30
 
10.2%
[ 24
 
8.1%
] 24
 
8.1%
12
 
4.1%
1 11
 
3.7%
8
 
2.7%
_ 8
 
2.7%
7
 
2.4%
3 6
 
2.0%
Other values (56) 134
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
48.1%
Decimal Number 94
31.9%
Open Punctuation 24
 
8.1%
Close Punctuation 24
 
8.1%
Connector Punctuation 8
 
2.7%
Math Symbol 2
 
0.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
8.5%
8
 
5.6%
7
 
4.9%
6
 
4.2%
6
 
4.2%
6
 
4.2%
6
 
4.2%
5
 
3.5%
4
 
2.8%
4
 
2.8%
Other values (42) 78
54.9%
Decimal Number
ValueCountFrequency (%)
0 31
33.0%
2 30
31.9%
1 11
 
11.7%
3 6
 
6.4%
4 5
 
5.3%
7 4
 
4.3%
6 3
 
3.2%
8 2
 
2.1%
5 2
 
2.1%
Open Punctuation
ValueCountFrequency (%)
[ 24
100.0%
Close Punctuation
ValueCountFrequency (%)
] 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153
51.9%
Hangul 142
48.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
8.5%
8
 
5.6%
7
 
4.9%
6
 
4.2%
6
 
4.2%
6
 
4.2%
6
 
4.2%
5
 
3.5%
4
 
2.8%
4
 
2.8%
Other values (42) 78
54.9%
Common
ValueCountFrequency (%)
0 31
20.3%
2 30
19.6%
[ 24
15.7%
] 24
15.7%
1 11
 
7.2%
_ 8
 
5.2%
3 6
 
3.9%
4 5
 
3.3%
7 4
 
2.6%
6 3
 
2.0%
Other values (4) 7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153
51.9%
Hangul 142
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
20.3%
2 30
19.6%
[ 24
15.7%
] 24
15.7%
1 11
 
7.2%
_ 8
 
5.2%
3 6
 
3.9%
4 5
 
3.3%
7 4
 
2.6%
6 3
 
2.0%
Other values (4) 7
 
4.6%
Hangul
ValueCountFrequency (%)
12
 
8.5%
8
 
5.6%
7
 
4.9%
6
 
4.2%
6
 
4.2%
6
 
4.2%
6
 
4.2%
5
 
3.5%
4
 
2.8%
4
 
2.8%
Other values (42) 78
54.9%
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size320.0 B
Minimum2024-01-01 00:00:00
Maximum2024-02-02 00:00:00
2024-03-14T22:26:19.129030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:26:19.442276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size320.0 B
Minimum2024-01-30 00:00:00
Maximum2024-02-27 00:00:00
2024-03-14T22:26:19.765342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:26:20.134235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size320.0 B
Minimum2024-01-31 00:00:00
Maximum2024-02-28 00:00:00
2024-03-14T22:26:20.462255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:26:20.809890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size320.0 B
Minimum2024-01-31 00:00:00
Maximum2024-03-27 00:00:00
2024-03-14T22:26:21.128040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:26:21.477004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

운영요일
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size320.0 B

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
8
33.3%
7
29.2%
4
16.7%
3
 
12.5%
1
 
4.2%
1
 
4.2%

Length

2024-03-14T22:26:21.848176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:26:22.168010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8
33.3%
7
29.2%
4
16.7%
3
 
12.5%
1
 
4.2%
1
 
4.2%

운영 시간
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
19:00~21:00
10:00~12:00
10:00~17:00
11:30~12:45
10:00~11:15
Other values (2)

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row10:00~12:00
2nd row11:30~12:45
3rd row10:00~11:15
4th row11:30~12:45
5th row10:00~11:15

Common Values

ValueCountFrequency (%)
19:00~21:00 6
25.0%
10:00~12:00 5
20.8%
10:00~17:00 4
16.7%
11:30~12:45 3
12.5%
10:00~11:15 3
12.5%
14:00~16:00 2
 
8.3%
16:00~18:00 1
 
4.2%

Length

2024-03-14T22:26:22.539372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:26:22.874880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00~21:00 6
25.0%
10:00~12:00 5
20.8%
10:00~17:00 4
16.7%
11:30~12:45 3
12.5%
10:00~11:15 3
12.5%
14:00~16:00 2
 
8.3%
16:00~18:00 1
 
4.2%

이용연령
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size320.0 B
초등학생
어린이와부모님
2018~19년생유아
성인
2인1조 누구나
Other values (4)

Length

Max length11
Median length9
Mean length6.6666667
Min length2

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st row성인
2nd row2018~19년생유아
3rd row초등학생
4th row2018~19년생유아
5th row초등학생

Common Values

ValueCountFrequency (%)
초등학생 7
29.2%
어린이와부모님 6
25.0%
2018~19년생유아 3
12.5%
성인 2
 
8.3%
2인1조 누구나 2
 
8.3%
중학생이상누구나 1
 
4.2%
2014~16년생 1
 
4.2%
2017~18년생유아 1
 
4.2%
2008~12년생 1
 
4.2%

Length

2024-03-14T22:26:23.292145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:26:23.637276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학생 7
26.9%
어린이와부모님 6
23.1%
2018~19년생유아 3
11.5%
성인 2
 
7.7%
2인1조 2
 
7.7%
누구나 2
 
7.7%
중학생이상누구나 1
 
3.8%
2014~16년생 1
 
3.8%
2017~18년생유아 1
 
3.8%
2008~12년생 1
 
3.8%

정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.25
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-14T22:26:23.998755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15.75
median10
Q310
95-th percentile20
Maximum20
Range15
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation5.1181688
Coefficient of variation (CV)0.49933354
Kurtosis-0.0055542674
Mean10.25
Median Absolute Deviation (MAD)3.5
Skewness0.99894861
Sum246
Variance26.195652
MonotonicityNot monotonic
2024-03-14T22:26:24.356999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
10 10
41.7%
5 6
25.0%
20 4
 
16.7%
7 1
 
4.2%
8 1
 
4.2%
6 1
 
4.2%
15 1
 
4.2%
ValueCountFrequency (%)
5 6
25.0%
6 1
 
4.2%
7 1
 
4.2%
8 1
 
4.2%
10 10
41.7%
15 1
 
4.2%
20 4
 
16.7%
ValueCountFrequency (%)
20 4
 
16.7%
15 1
 
4.2%
10 10
41.7%
8 1
 
4.2%
7 1
 
4.2%
6 1
 
4.2%
5 6
25.0%

이용비(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14766.667
Minimum0
Maximum22000
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-14T22:26:24.707506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6930
Q19900
median13200
Q320500
95-th percentile22000
Maximum22000
Range22000
Interquartile range (IQR)10600

Descriptive statistics

Standard deviation6387.4651
Coefficient of variation (CV)0.43255971
Kurtosis-0.83041183
Mean14766.667
Median Absolute Deviation (MAD)6600
Skewness-0.33835069
Sum354400
Variance40799710
MonotonicityNot monotonic
2024-03-14T22:26:25.038018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9900 6
25.0%
22000 6
25.0%
19800 4
16.7%
13200 2
 
8.3%
11000 2
 
8.3%
20000 1
 
4.2%
6600 1
 
4.2%
8800 1
 
4.2%
0 1
 
4.2%
ValueCountFrequency (%)
0 1
 
4.2%
6600 1
 
4.2%
8800 1
 
4.2%
9900 6
25.0%
11000 2
 
8.3%
13200 2
 
8.3%
19800 4
16.7%
20000 1
 
4.2%
22000 6
25.0%
ValueCountFrequency (%)
22000 6
25.0%
20000 1
 
4.2%
19800 4
16.7%
13200 2
 
8.3%
11000 2
 
8.3%
9900 6
25.0%
8800 1
 
4.2%
6600 1
 
4.2%
0 1
 
4.2%

Interactions

2024-03-14T22:26:16.126263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:26:15.713624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:26:16.278836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:26:15.987370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:26:25.277006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램명접수시작일접수 종료일운영 시작일운영 종료일운영요일운영 시간이용연령정원(명)이용비(원)
프로그램명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
접수시작일1.0001.0000.6050.6420.5120.6690.8480.9370.9870.670
접수 종료일1.0000.6051.0001.0001.0001.0000.0000.0000.0000.000
운영 시작일1.0000.6421.0001.0001.0001.0000.6910.3060.0000.775
운영 종료일1.0000.5121.0001.0001.0001.0000.0000.0000.0000.680
운영요일1.0000.6691.0001.0001.0001.0000.7570.4490.6150.588
운영 시간1.0000.8480.0000.6910.0000.7571.0000.8970.8000.958
이용연령1.0000.9370.0000.3060.0000.4490.8971.0000.9200.933
정원(명)1.0000.9870.0000.0000.0000.6150.8000.9201.0000.892
이용비(원)1.0000.6700.0000.7750.6800.5880.9580.9330.8921.000
2024-03-14T22:26:25.798993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영 시간운영요일이용연령
운영 시간1.0000.5540.711
운영요일0.5541.0000.177
이용연령0.7110.1771.000
2024-03-14T22:26:26.046412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원(명)이용비(원)운영요일운영 시간이용연령
정원(명)1.0000.1800.2790.6440.647
이용비(원)0.1801.0000.3750.6790.789
운영요일0.2790.3751.0000.5540.177
운영 시간0.6440.6790.5541.0000.711
이용연령0.6470.7890.1770.7111.000

Missing values

2024-03-14T22:26:16.466638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:26:16.770854image/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

프로그램명접수시작일접수 종료일운영 시작일운영 종료일운영요일운영 시간이용연령정원(명)이용비(원)
0[2~3월]힐링타로2024-01-012024-02-052024-02-062024-03-2610:00~12:00성인1013200
1[0224]참새방앗간_유아2024-01-012024-02-232024-02-242024-02-2411:30~12:452018~19년생유아109900
2[0224]참새방앗간_초등2024-01-012024-02-232024-02-242024-02-2410:00~11:15초등학생109900
3[0217]참새방앗간_유아2024-01-012024-02-162024-02-172024-02-1711:30~12:452018~19년생유아109900
4[0217]참새방앗간_초등2024-01-012024-02-162024-02-172024-02-1710:00~11:15초등학생109900
5[0203]참새방앗간_유아2024-01-012024-02-022024-02-032024-02-0311:30~12:452018~19년생유아109900
6[0203]참새방앗간_초등2024-01-012024-02-022024-02-032024-02-0310:00~11:15초등학생109900
7[0218-25]꼼지락공방2024-01-012024-02-172024-02-182024-02-2510:00~12:00어린이와부모님1022000
8[0204]꼼지락공방2024-01-012024-02-032024-02-042024-02-0410:00~12:00어린이와부모님1011000
9[0228]모두의부엌2024-01-012024-02-272024-02-282024-02-2819:00~21:00어린이와부모님519800
프로그램명접수시작일접수 종료일운영 시작일운영 종료일운영요일운영 시간이용연령정원(명)이용비(원)
14[0131]지구식탁_요리2024-01-152024-01-302024-01-312024-01-3119:00~21:002인1조 누구나520000
15[0203]아뜨공작소2024-01-152024-02-022024-02-032024-02-0314:00~16:002014~16년생76600
16[0204]지구식탁_디저트2024-01-152024-02-032024-02-042024-02-0410:00~12:002인1조 누구나511000
17[0206]감성화실2024-01-152024-02-052024-02-062024-02-0610:00~12:00성인813200
18[0206]손바닥감각놀이터2024-01-152024-02-052024-02-052024-02-0516:00~18:002017~18년생유아68800
19[0217]조이앤조이2024-01-152024-02-162024-02-172024-02-1714:00~16:002008~12년생150
20[0215]방학놀이학교2024-02-022024-02-142024-02-152024-02-1510:00~17:00초등학생2022000
21[0216]방학놀이학교2024-02-022024-02-152024-02-162024-02-1610:00~17:00초등학생2022000
22[0220]방학놀이학교2024-02-022024-02-192024-02-202024-02-2010:00~17:00초등학생2022000
23[0221]방학놀이학교2024-02-022024-02-202024-02-212024-02-2110:00~17:00초등학생2022000