Overview

Dataset statistics

Number of variables56
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.7 KiB
Average record size in memory505.3 B

Variable types

Categorical1
Text1
Numeric54

Dataset

Description인천광역시 특성별(지역, 성별, 연령, 학력, 월평균소득 등) 학교생활(교육내용, 교육방법, 교우관계, 학교시설, 교사 등) 만족도에 대한 정보를 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15066297&srcSe=7661IVAWM27C61E190

Alerts

특성별(2) has unique valuesUnique
교육내용_매우 불만족 (퍼센트) has 2 (5.0%) zerosZeros
교육내용_약간 불만족 (퍼센트) has 1 (2.5%) zerosZeros
교육내용_매우 만족 (퍼센트) has 1 (2.5%) zerosZeros
교육방법(교사나 교수의 수업지도 평가)_매우 불만족 (퍼센트) has 2 (5.0%) zerosZeros
교육방법(교사나 교수의 수업지도 평가)_매우 만족 (퍼센트) has 2 (5.0%) zerosZeros
교우관계_매우 불만족 (퍼센트) has 5 (12.5%) zerosZeros
교우관계_약간 불만족 (퍼센트) has 1 (2.5%) zerosZeros
교우관계_약간 만족 (퍼센트) has 1 (2.5%) zerosZeros
교사(교수)와의 관계_매우 불만족 (퍼센트) has 6 (15.0%) zerosZeros
교사(교수)와의 관계_약간 불만족 (퍼센트) has 3 (7.5%) zerosZeros
학교시설 및 설비_매우 불만족 (퍼센트) has 3 (7.5%) zerosZeros
학교시설 및 설비_약간 불만족 (퍼센트) has 1 (2.5%) zerosZeros
학교시설 및 설비_매우 만족 (퍼센트) has 1 (2.5%) zerosZeros
학교 주변 환경_매우 불만족 (퍼센트) has 1 (2.5%) zerosZeros
학교 주변 환경_매우 만족 (퍼센트) has 2 (5.0%) zerosZeros
소질과 적성 개발_매우 불만족 (퍼센트) has 5 (12.5%) zerosZeros
소질과 적성 개발_약간 만족 (퍼센트) has 1 (2.5%) zerosZeros
소질과 적성 개발_매우 만족 (퍼센트) has 1 (2.5%) zerosZeros
전공(특목고 특성화고 대학(교) 대학원)_매우 불만족 (퍼센트) has 2 (5.0%) zerosZeros
전반적인 학교생활_매우 불만족 (퍼센트) has 4 (10.0%) zerosZeros
전반적인 학교생활_약간 불만족 (퍼센트) has 2 (5.0%) zerosZeros
전반적인 학교생활_매우 만족 (퍼센트) has 1 (2.5%) zerosZeros

Reproduction

Analysis started2024-01-28 13:54:58.283688
Analysis finished2024-01-28 13:54:58.723561
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

특성별(1)
Categorical

Distinct9
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
군구별
10 
월평균소득별
가구원수별
학력별
주거형태별
Other values (4)

Length

Max length7
Median length6
Mean length4.3
Min length2

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
군구별 10
25.0%
월평균소득별 8
20.0%
가구원수별 5
12.5%
학력별 4
 
10.0%
주거형태별 4
 
10.0%
연령별 3
 
7.5%
주거점유형태별 3
 
7.5%
성별 2
 
5.0%
직업별 1
 
2.5%

Length

2024-01-28T22:54:58.794907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:54:58.901200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군구별 10
25.0%
월평균소득별 8
20.0%
가구원수별 5
12.5%
학력별 4
 
10.0%
주거형태별 4
 
10.0%
연령별 3
 
7.5%
주거점유형태별 3
 
7.5%
성별 2
 
5.0%
직업별 1
 
2.5%

특성별(2)
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T22:54:59.094467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length4.975
Min length2

Characters and Unicode

Total characters199
Distinct characters61
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

Unique40 ?
Unique (%)100.0%

Sample

1st row중구
2nd row동구
3rd row미추홀구
4th row연수구
5th row남동구
ValueCountFrequency (%)
미만 7
 
12.3%
3
 
5.3%
이상 2
 
3.5%
기타 2
 
3.5%
100~200만원 1
 
1.8%
아파트 1
 
1.8%
200~300만원 1
 
1.8%
300~400만원 1
 
1.8%
400~500만원 1
 
1.8%
500~600만원 1
 
1.8%
Other values (37) 37
64.9%
2024-01-28T22:54:59.347965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
 
15.1%
17
 
8.5%
15
 
7.5%
~ 9
 
4.5%
8
 
4.0%
8
 
4.0%
8
 
4.0%
6
 
3.0%
3 6
 
3.0%
1 5
 
2.5%
Other values (51) 87
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
56.8%
Decimal Number 59
29.6%
Space Separator 17
 
8.5%
Math Symbol 9
 
4.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
13.3%
8
 
7.1%
8
 
7.1%
8
 
7.1%
6
 
5.3%
5
 
4.4%
4
 
3.5%
4
 
3.5%
3
 
2.7%
3
 
2.7%
Other values (39) 49
43.4%
Decimal Number
ValueCountFrequency (%)
0 30
50.8%
3 6
 
10.2%
1 5
 
8.5%
2 5
 
8.5%
4 3
 
5.1%
5 3
 
5.1%
9 3
 
5.1%
6 2
 
3.4%
7 2
 
3.4%
Space Separator
ValueCountFrequency (%)
17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
56.8%
Common 86
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
13.3%
8
 
7.1%
8
 
7.1%
8
 
7.1%
6
 
5.3%
5
 
4.4%
4
 
3.5%
4
 
3.5%
3
 
2.7%
3
 
2.7%
Other values (39) 49
43.4%
Common
ValueCountFrequency (%)
0 30
34.9%
17
19.8%
~ 9
 
10.5%
3 6
 
7.0%
1 5
 
5.8%
2 5
 
5.8%
4 3
 
3.5%
5 3
 
3.5%
9 3
 
3.5%
6 2
 
2.3%
Other values (2) 3
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
56.8%
ASCII 86
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
34.9%
17
19.8%
~ 9
 
10.5%
3 6
 
7.0%
1 5
 
5.8%
2 5
 
5.8%
4 3
 
3.5%
5 3
 
3.5%
9 3
 
3.5%
6 2
 
2.3%
Other values (2) 3
 
3.5%
Hangul
ValueCountFrequency (%)
15
 
13.3%
8
 
7.1%
8
 
7.1%
8
 
7.1%
6
 
5.3%
5
 
4.4%
4
 
3.5%
4
 
3.5%
3
 
2.7%
3
 
2.7%
Other values (39) 49
43.4%
Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1125
Minimum0
Maximum11.8
Zeros2
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:54:59.466682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.71
Q13.575
median4.85
Q36.1
95-th percentile9.52
Maximum11.8
Range11.8
Interquartile range (IQR)2.525

Descriptive statistics

Standard deviation2.4046096
Coefficient of variation (CV)0.47033929
Kurtosis1.087676
Mean5.1125
Median Absolute Deviation (MAD)1.3
Skewness0.44561146
Sum204.5
Variance5.7821474
MonotonicityNot monotonic
2024-01-28T22:54:59.593890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4.7 3
 
7.5%
0.0 2
 
5.0%
6.4 2
 
5.0%
8.5 2
 
5.0%
3.5 2
 
5.0%
4.1 2
 
5.0%
5.8 2
 
5.0%
4.6 2
 
5.0%
5.2 2
 
5.0%
5.3 2
 
5.0%
Other values (19) 19
47.5%
ValueCountFrequency (%)
0.0 2
5.0%
1.8 1
2.5%
2.5 1
2.5%
2.7 1
2.5%
3.0 1
2.5%
3.3 1
2.5%
3.4 1
2.5%
3.5 2
5.0%
3.6 1
2.5%
4.1 2
5.0%
ValueCountFrequency (%)
11.8 1
2.5%
9.9 1
2.5%
9.5 1
2.5%
8.5 2
5.0%
7.4 1
2.5%
7.1 1
2.5%
6.7 1
2.5%
6.4 2
5.0%
6.0 1
2.5%
5.8 2
5.0%
Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.255
Minimum0
Maximum18.8
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:54:59.705675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.58
Q17.625
median9.9
Q311.025
95-th percentile13.725
Maximum18.8
Range18.8
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation3.3735738
Coefficient of variation (CV)0.36451364
Kurtosis2.0226124
Mean9.255
Median Absolute Deviation (MAD)1.7
Skewness-0.33723313
Sum370.2
Variance11.381
MonotonicityNot monotonic
2024-01-28T22:54:59.822038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
9.9 3
 
7.5%
10.0 3
 
7.5%
11.0 2
 
5.0%
11.2 2
 
5.0%
6.7 2
 
5.0%
10.3 2
 
5.0%
9.8 2
 
5.0%
12.9 1
 
2.5%
12.1 1
 
2.5%
1.3 1
 
2.5%
Other values (21) 21
52.5%
ValueCountFrequency (%)
0.0 1
2.5%
1.3 1
2.5%
3.7 1
2.5%
4.5 1
2.5%
5.6 1
2.5%
6.7 2
5.0%
6.9 1
2.5%
7.2 1
2.5%
7.4 1
2.5%
7.7 1
2.5%
ValueCountFrequency (%)
18.8 1
2.5%
14.2 1
2.5%
13.7 1
2.5%
12.9 1
2.5%
12.1 1
2.5%
11.9 1
2.5%
11.5 1
2.5%
11.2 2
5.0%
11.1 1
2.5%
11.0 2
5.0%
Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.35
Minimum29.9
Maximum94.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:54:59.931116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.9
5-th percentile37.16
Q140.225
median43.25
Q345.75
95-th percentile52.045
Maximum94.9
Range65
Interquartile range (IQR)5.525

Descriptive statistics

Standard deviation9.3628015
Coefficient of variation (CV)0.21111165
Kurtosis22.44509
Mean44.35
Median Absolute Deviation (MAD)2.85
Skewness4.1300533
Sum1774
Variance87.662051
MonotonicityNot monotonic
2024-01-28T22:55:00.040596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
42.6 3
 
7.5%
43.7 2
 
5.0%
43.5 2
 
5.0%
47.3 1
 
2.5%
44.1 1
 
2.5%
47.0 1
 
2.5%
39.2 1
 
2.5%
43.6 1
 
2.5%
41.4 1
 
2.5%
43.0 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
29.9 1
2.5%
36.4 1
2.5%
37.2 1
2.5%
37.8 1
2.5%
37.9 1
2.5%
38.5 1
2.5%
38.9 1
2.5%
39.1 1
2.5%
39.2 1
2.5%
39.4 1
2.5%
ValueCountFrequency (%)
94.9 1
2.5%
52.9 1
2.5%
52.0 1
2.5%
51.7 1
2.5%
49.8 1
2.5%
48.2 1
2.5%
47.3 1
2.5%
47.1 1
2.5%
47.0 1
2.5%
46.2 1
2.5%
Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.2625
Minimum5.1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:00.149008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile27.65
Q132.45
median34.75
Q337.35
95-th percentile43.05
Maximum47
Range41.9
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation7.0594794
Coefficient of variation (CV)0.20604099
Kurtosis7.753803
Mean34.2625
Median Absolute Deviation (MAD)2.65
Skewness-2.0547059
Sum1370.5
Variance49.83625
MonotonicityNot monotonic
2024-01-28T22:55:00.247583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
35.1 2
 
5.0%
36.2 2
 
5.0%
33.7 2
 
5.0%
34.6 2
 
5.0%
42.9 1
 
2.5%
42.5 1
 
2.5%
33.4 1
 
2.5%
35.7 1
 
2.5%
34.9 1
 
2.5%
34.3 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
5.1 1
2.5%
15.3 1
2.5%
28.3 1
2.5%
29.0 1
2.5%
29.9 1
2.5%
30.1 1
2.5%
30.5 1
2.5%
31.2 1
2.5%
31.4 1
2.5%
31.7 1
2.5%
ValueCountFrequency (%)
47.0 1
2.5%
45.9 1
2.5%
42.9 1
2.5%
42.5 1
2.5%
40.1 1
2.5%
38.9 1
2.5%
38.8 1
2.5%
38.7 1
2.5%
38.0 1
2.5%
37.5 1
2.5%
Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0225
Minimum0
Maximum15.7
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:00.347927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.45
Q15.3
median6.95
Q38.725
95-th percentile12.915
Maximum15.7
Range15.7
Interquartile range (IQR)3.425

Descriptive statistics

Standard deviation3.1981154
Coefficient of variation (CV)0.45540982
Kurtosis0.74868093
Mean7.0225
Median Absolute Deviation (MAD)1.8
Skewness0.40936637
Sum280.9
Variance10.227942
MonotonicityNot monotonic
2024-01-28T22:55:00.465614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5.0 2
 
5.0%
7.8 2
 
5.0%
7.0 2
 
5.0%
9.0 2
 
5.0%
7.4 1
 
2.5%
3.0 1
 
2.5%
3.9 1
 
2.5%
11.1 1
 
2.5%
6.6 1
 
2.5%
11.7 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
0.0 1
2.5%
1.5 1
2.5%
2.5 1
2.5%
3.0 1
2.5%
3.1 1
2.5%
3.3 1
2.5%
3.9 1
2.5%
4.8 1
2.5%
5.0 2
5.0%
5.4 1
2.5%
ValueCountFrequency (%)
15.7 1
2.5%
13.2 1
2.5%
12.9 1
2.5%
11.7 1
2.5%
11.1 1
2.5%
10.7 1
2.5%
9.2 1
2.5%
9.0 2
5.0%
8.8 1
2.5%
8.7 1
2.5%
Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2875
Minimum3
Maximum3.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:00.561540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.095
Q13.2
median3.3
Q33.4
95-th percentile3.405
Maximum3.6
Range0.6
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.12234357
Coefficient of variation (CV)0.037214774
Kurtosis0.86633628
Mean3.2875
Median Absolute Deviation (MAD)0.1
Skewness-0.28050181
Sum131.5
Variance0.014967949
MonotonicityNot monotonic
2024-01-28T22:55:00.661464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3.3 17
42.5%
3.4 9
22.5%
3.2 7
17.5%
3.1 3
 
7.5%
3.0 2
 
5.0%
3.5 1
 
2.5%
3.6 1
 
2.5%
ValueCountFrequency (%)
3.0 2
 
5.0%
3.1 3
 
7.5%
3.2 7
17.5%
3.3 17
42.5%
3.4 9
22.5%
3.5 1
 
2.5%
3.6 1
 
2.5%
ValueCountFrequency (%)
3.6 1
 
2.5%
3.5 1
 
2.5%
3.4 9
22.5%
3.3 17
42.5%
3.2 7
17.5%
3.1 3
 
7.5%
3.0 2
 
5.0%
Distinct30
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4225
Minimum0
Maximum12.4
Zeros2
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:00.774889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.28
Q13.85
median5.2
Q36.3
95-th percentile11.045
Maximum12.4
Range12.4
Interquartile range (IQR)2.45

Descriptive statistics

Standard deviation2.6274183
Coefficient of variation (CV)0.48454003
Kurtosis1.3612011
Mean5.4225
Median Absolute Deviation (MAD)1.35
Skewness0.66005773
Sum216.9
Variance6.9033269
MonotonicityNot monotonic
2024-01-28T22:55:00.878041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5.6 3
 
7.5%
4.9 3
 
7.5%
2.9 2
 
5.0%
0.0 2
 
5.0%
7.4 2
 
5.0%
5.8 2
 
5.0%
6.2 2
 
5.0%
3.4 2
 
5.0%
3.7 1
 
2.5%
4.5 1
 
2.5%
Other values (20) 20
50.0%
ValueCountFrequency (%)
0.0 2
5.0%
2.4 1
2.5%
2.9 2
5.0%
3.1 1
2.5%
3.2 1
2.5%
3.4 2
5.0%
3.7 1
2.5%
3.9 1
2.5%
4.0 1
2.5%
4.4 1
2.5%
ValueCountFrequency (%)
12.4 1
2.5%
11.9 1
2.5%
11.0 1
2.5%
8.5 1
2.5%
8.3 1
2.5%
8.0 1
2.5%
7.4 2
5.0%
6.9 1
2.5%
6.6 1
2.5%
6.2 2
5.0%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.15
Minimum5.1
Maximum23.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:00.991619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile9.1
Q111.475
median12.95
Q314.45
95-th percentile17.85
Maximum23.4
Range18.3
Interquartile range (IQR)2.975

Descriptive statistics

Standard deviation3.1788564
Coefficient of variation (CV)0.24173813
Kurtosis2.9297815
Mean13.15
Median Absolute Deviation (MAD)1.5
Skewness0.68394522
Sum526
Variance10.105128
MonotonicityNot monotonic
2024-01-28T22:55:01.104359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
12.5 3
 
7.5%
15.2 2
 
5.0%
11.8 2
 
5.0%
14.1 2
 
5.0%
13.8 2
 
5.0%
10.4 1
 
2.5%
11.5 1
 
2.5%
14.3 1
 
2.5%
11.0 1
 
2.5%
11.1 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
5.1 1
2.5%
7.2 1
2.5%
9.2 1
2.5%
9.9 1
2.5%
10.4 1
2.5%
10.8 1
2.5%
11.0 1
2.5%
11.1 1
2.5%
11.3 1
2.5%
11.4 1
2.5%
ValueCountFrequency (%)
23.4 1
2.5%
20.7 1
2.5%
17.7 1
2.5%
17.3 1
2.5%
15.5 1
2.5%
15.2 2
5.0%
14.9 1
2.5%
14.8 1
2.5%
14.6 1
2.5%
14.4 1
2.5%
Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.695
Minimum24.6
Maximum71.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:01.212457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.6
5-th percentile33.115
Q137.875
median41.25
Q344.475
95-th percentile50.245
Maximum71.4
Range46.8
Interquartile range (IQR)6.6

Descriptive statistics

Standard deviation7.3585447
Coefficient of variation (CV)0.17648506
Kurtosis6.5889231
Mean41.695
Median Absolute Deviation (MAD)3.45
Skewness1.2321822
Sum1667.8
Variance54.148179
MonotonicityNot monotonic
2024-01-28T22:55:01.312073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
46.3 2
 
5.0%
41.2 2
 
5.0%
43.3 2
 
5.0%
36.9 2
 
5.0%
36.5 1
 
2.5%
43.7 1
 
2.5%
42.8 1
 
2.5%
36.6 1
 
2.5%
43.6 1
 
2.5%
42.6 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
24.6 1
2.5%
25.8 1
2.5%
33.5 1
2.5%
34.6 1
2.5%
35.9 1
2.5%
36.5 1
2.5%
36.6 1
2.5%
36.9 2
5.0%
37.2 1
2.5%
38.1 1
2.5%
ValueCountFrequency (%)
71.4 1
2.5%
53.0 1
2.5%
50.1 1
2.5%
47.5 1
2.5%
46.6 1
2.5%
46.4 1
2.5%
46.3 2
5.0%
45.3 1
2.5%
45.0 1
2.5%
44.3 1
2.5%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.775
Minimum14.4
Maximum47.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:01.408364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.4
5-th percentile23.595
Q128.1
median30.4
Q332.65
95-th percentile44.76
Maximum47.1
Range32.7
Interquartile range (IQR)4.55

Descriptive statistics

Standard deviation6.0981607
Coefficient of variation (CV)0.19815307
Kurtosis2.2148706
Mean30.775
Median Absolute Deviation (MAD)2.4
Skewness0.61996176
Sum1231
Variance37.187564
MonotonicityNot monotonic
2024-01-28T22:55:01.513131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
30.5 3
 
7.5%
30.1 2
 
5.0%
35.7 2
 
5.0%
29.0 2
 
5.0%
30.3 2
 
5.0%
33.7 1
 
2.5%
26.5 1
 
2.5%
26.7 1
 
2.5%
47.1 1
 
2.5%
31.6 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
14.4 1
2.5%
23.5 1
2.5%
23.6 1
2.5%
23.8 1
2.5%
24.0 1
2.5%
25.0 1
2.5%
25.9 1
2.5%
26.5 1
2.5%
26.7 1
2.5%
27.8 1
2.5%
ValueCountFrequency (%)
47.1 1
2.5%
45.9 1
2.5%
44.7 1
2.5%
39.4 1
2.5%
35.7 2
5.0%
35.1 1
2.5%
33.7 1
2.5%
33.3 1
2.5%
33.1 1
2.5%
32.5 1
2.5%
Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9575
Minimum0
Maximum18.9
Zeros2
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:01.632357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.425
Q17.125
median8.8
Q311.05
95-th percentile18.125
Maximum18.9
Range18.9
Interquartile range (IQR)3.925

Descriptive statistics

Standard deviation4.3549493
Coefficient of variation (CV)0.4861791
Kurtosis0.60980299
Mean8.9575
Median Absolute Deviation (MAD)2.1
Skewness0.2555874
Sum358.3
Variance18.965583
MonotonicityNot monotonic
2024-01-28T22:55:01.781888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8.3 2
 
5.0%
8.9 2
 
5.0%
8.8 2
 
5.0%
10.8 2
 
5.0%
0.0 2
 
5.0%
7.2 1
 
2.5%
4.6 1
 
2.5%
9.7 1
 
2.5%
7.6 1
 
2.5%
11.5 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
0.0 2
5.0%
1.5 1
2.5%
3.6 1
2.5%
3.8 1
2.5%
4.6 1
2.5%
4.8 1
2.5%
5.7 1
2.5%
5.9 1
2.5%
6.9 1
2.5%
7.2 1
2.5%
ValueCountFrequency (%)
18.9 1
2.5%
18.6 1
2.5%
18.1 1
2.5%
15.1 1
2.5%
14.0 1
2.5%
12.5 1
2.5%
12.4 1
2.5%
12.0 1
2.5%
11.5 1
2.5%
11.2 1
2.5%
Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.245
Minimum3
Maximum3.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:01.894938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.1
Q13.2
median3.25
Q33.3
95-th percentile3.4
Maximum3.5
Range0.5
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.093232546
Coefficient of variation (CV)0.028731139
Kurtosis1.0973946
Mean3.245
Median Absolute Deviation (MAD)0.05
Skewness-0.046960019
Sum129.8
Variance0.0086923077
MonotonicityNot monotonic
2024-01-28T22:55:01.986481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3.3 17
42.5%
3.2 15
37.5%
3.1 4
 
10.0%
3.4 2
 
5.0%
3.0 1
 
2.5%
3.5 1
 
2.5%
ValueCountFrequency (%)
3.0 1
 
2.5%
3.1 4
 
10.0%
3.2 15
37.5%
3.3 17
42.5%
3.4 2
 
5.0%
3.5 1
 
2.5%
ValueCountFrequency (%)
3.5 1
 
2.5%
3.4 2
 
5.0%
3.3 17
42.5%
3.2 15
37.5%
3.1 4
 
10.0%
3.0 1
 
2.5%
Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9675
Minimum0
Maximum7.5
Zeros5
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:02.391248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.45
median1.9
Q32.5
95-th percentile3.445
Maximum7.5
Range7.5
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.346484
Coefficient of variation (CV)0.68436291
Kurtosis6.3962464
Mean1.9675
Median Absolute Deviation (MAD)0.6
Skewness1.6198345
Sum78.7
Variance1.8130192
MonotonicityNot monotonic
2024-01-28T22:55:02.493037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 5
12.5%
1.9 4
 
10.0%
1.7 4
 
10.0%
2.1 3
 
7.5%
1.8 2
 
5.0%
2.4 2
 
5.0%
1.5 2
 
5.0%
2.5 2
 
5.0%
0.8 2
 
5.0%
2.8 2
 
5.0%
Other values (12) 12
30.0%
ValueCountFrequency (%)
0.0 5
12.5%
0.7 1
 
2.5%
0.8 2
 
5.0%
1.0 1
 
2.5%
1.3 1
 
2.5%
1.5 2
 
5.0%
1.7 4
10.0%
1.8 2
 
5.0%
1.9 4
10.0%
2.0 1
 
2.5%
ValueCountFrequency (%)
7.5 1
2.5%
4.3 1
2.5%
3.4 1
2.5%
3.3 1
2.5%
3.0 1
2.5%
2.9 1
2.5%
2.8 2
5.0%
2.7 1
2.5%
2.5 2
5.0%
2.4 2
5.0%
Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4775
Minimum0
Maximum16.3
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:02.611514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.865
Q14.5
median6.05
Q37.7
95-th percentile12.235
Maximum16.3
Range16.3
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation3.2834853
Coefficient of variation (CV)0.50690626
Kurtosis1.8574722
Mean6.4775
Median Absolute Deviation (MAD)1.6
Skewness0.94287577
Sum259.1
Variance10.781276
MonotonicityNot monotonic
2024-01-28T22:55:02.721705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5.7 3
 
7.5%
8.4 2
 
5.0%
7.7 2
 
5.0%
5.6 2
 
5.0%
6.5 2
 
5.0%
9.6 2
 
5.0%
4.5 2
 
5.0%
6.8 2
 
5.0%
3.8 1
 
2.5%
4.1 1
 
2.5%
Other values (21) 21
52.5%
ValueCountFrequency (%)
0.0 1
2.5%
1.2 1
2.5%
1.9 1
2.5%
2.3 1
2.5%
2.9 1
2.5%
3.8 1
2.5%
4.0 1
2.5%
4.1 1
2.5%
4.3 1
2.5%
4.5 2
5.0%
ValueCountFrequency (%)
16.3 1
2.5%
14.8 1
2.5%
12.1 1
2.5%
11.9 1
2.5%
9.6 2
5.0%
8.5 1
2.5%
8.4 2
5.0%
7.7 2
5.0%
7.3 1
2.5%
6.8 2
5.0%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.925
Minimum31.4
Maximum55.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:02.831204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.4
5-th percentile34.195
Q137.65
median39.1
Q343.325
95-th percentile53.02
Maximum55.8
Range24.4
Interquartile range (IQR)5.675

Descriptive statistics

Standard deviation6.1419846
Coefficient of variation (CV)0.15007904
Kurtosis0.46087966
Mean40.925
Median Absolute Deviation (MAD)2.75
Skewness1.1186856
Sum1637
Variance37.723974
MonotonicityNot monotonic
2024-01-28T22:55:02.939615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
39.1 4
 
10.0%
39.2 2
 
5.0%
37.8 2
 
5.0%
38.1 2
 
5.0%
34.1 1
 
2.5%
41.8 1
 
2.5%
37.9 1
 
2.5%
35.7 1
 
2.5%
37.2 1
 
2.5%
49.2 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
31.4 1
2.5%
34.1 1
2.5%
34.2 1
2.5%
34.5 1
2.5%
34.9 1
2.5%
35.6 1
2.5%
35.7 1
2.5%
36.3 1
2.5%
36.5 1
2.5%
37.2 1
2.5%
ValueCountFrequency (%)
55.8 1
2.5%
55.3 1
2.5%
52.9 1
2.5%
52.7 1
2.5%
52.3 1
2.5%
49.2 1
2.5%
49.1 1
2.5%
44.7 1
2.5%
44.0 1
2.5%
43.7 1
2.5%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.07
Minimum0
Maximum39.7
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:03.057655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.645
Q129.7
median33.55
Q334.7
95-th percentile38.52
Maximum39.7
Range39.7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.7112372
Coefficient of variation (CV)0.24818916
Kurtosis7.4173184
Mean31.07
Median Absolute Deviation (MAD)1.95
Skewness-2.5037104
Sum1242.8
Variance59.463179
MonotonicityNot monotonic
2024-01-28T22:55:03.182500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
34.6 3
 
7.5%
33.8 2
 
5.0%
31.6 2
 
5.0%
33.5 2
 
5.0%
35.4 2
 
5.0%
38.5 1
 
2.5%
19.2 1
 
2.5%
29.0 1
 
2.5%
34.2 1
 
2.5%
8.1 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
0.0 1
2.5%
8.1 1
2.5%
19.2 1
2.5%
21.8 1
2.5%
23.5 1
2.5%
24.8 1
2.5%
28.5 1
2.5%
28.9 1
2.5%
29.0 1
2.5%
29.4 1
2.5%
ValueCountFrequency (%)
39.7 1
 
2.5%
38.9 1
 
2.5%
38.5 1
 
2.5%
37.6 1
 
2.5%
36.7 1
 
2.5%
35.8 1
 
2.5%
35.5 1
 
2.5%
35.4 2
5.0%
35.0 1
 
2.5%
34.6 3
7.5%
Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.56
Minimum3
Maximum42.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:03.310902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile12.515
Q117.425
median19.55
Q322.1
95-th percentile25.285
Maximum42.3
Range39.3
Interquartile range (IQR)4.675

Descriptive statistics

Standard deviation5.8355585
Coefficient of variation (CV)0.29834144
Kurtosis6.2443503
Mean19.56
Median Absolute Deviation (MAD)2.5
Skewness0.82138025
Sum782.4
Variance34.053744
MonotonicityNot monotonic
2024-01-28T22:55:03.439382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19.0 2
 
5.0%
19.3 2
 
5.0%
24.7 1
 
2.5%
19.7 1
 
2.5%
21.0 1
 
2.5%
22.8 1
 
2.5%
19.8 1
 
2.5%
20.9 1
 
2.5%
19.5 1
 
2.5%
15.5 1
 
2.5%
Other values (28) 28
70.0%
ValueCountFrequency (%)
3.0 1
2.5%
9.0 1
2.5%
12.7 1
2.5%
12.9 1
2.5%
13.7 1
2.5%
14.8 1
2.5%
15.5 1
2.5%
15.8 1
2.5%
16.3 1
2.5%
16.9 1
2.5%
ValueCountFrequency (%)
42.3 1
2.5%
26.9 1
2.5%
25.2 1
2.5%
25.0 1
2.5%
24.7 1
2.5%
23.6 1
2.5%
23.5 1
2.5%
22.9 1
2.5%
22.8 1
2.5%
22.7 1
2.5%
Distinct8
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5975
Minimum3.2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:03.545097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.295
Q13.575
median3.6
Q33.7
95-th percentile3.8
Maximum4
Range0.8
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation0.15605308
Coefficient of variation (CV)0.043378202
Kurtosis1.5499627
Mean3.5975
Median Absolute Deviation (MAD)0.1
Skewness-0.55309505
Sum143.9
Variance0.024352564
MonotonicityNot monotonic
2024-01-28T22:55:03.640769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3.6 16
40.0%
3.7 10
25.0%
3.5 4
 
10.0%
3.8 3
 
7.5%
3.4 3
 
7.5%
3.2 2
 
5.0%
4.0 1
 
2.5%
3.3 1
 
2.5%
ValueCountFrequency (%)
3.2 2
 
5.0%
3.3 1
 
2.5%
3.4 3
 
7.5%
3.5 4
 
10.0%
3.6 16
40.0%
3.7 10
25.0%
3.8 3
 
7.5%
4.0 1
 
2.5%
ValueCountFrequency (%)
4.0 1
 
2.5%
3.8 3
 
7.5%
3.7 10
25.0%
3.6 16
40.0%
3.5 4
 
10.0%
3.4 3
 
7.5%
3.3 1
 
2.5%
3.2 2
 
5.0%
Distinct23
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9325
Minimum0
Maximum8.6
Zeros6
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:03.754265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.975
median3
Q33.6
95-th percentile6.17
Maximum8.6
Range8.6
Interquartile range (IQR)1.625

Descriptive statistics

Standard deviation1.9018732
Coefficient of variation (CV)0.64855012
Kurtosis1.5443086
Mean2.9325
Median Absolute Deviation (MAD)0.85
Skewness0.70234893
Sum117.3
Variance3.6171218
MonotonicityNot monotonic
2024-01-28T22:55:03.856190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 6
15.0%
3.2 5
 
12.5%
3.6 4
 
10.0%
2.9 3
 
7.5%
3.8 2
 
5.0%
2.1 2
 
5.0%
1.9 2
 
5.0%
1.3 1
 
2.5%
1.7 1
 
2.5%
2.0 1
 
2.5%
Other values (13) 13
32.5%
ValueCountFrequency (%)
0.0 6
15.0%
1.3 1
 
2.5%
1.7 1
 
2.5%
1.9 2
 
5.0%
2.0 1
 
2.5%
2.1 2
 
5.0%
2.4 1
 
2.5%
2.5 1
 
2.5%
2.6 1
 
2.5%
2.8 1
 
2.5%
ValueCountFrequency (%)
8.6 1
 
2.5%
7.5 1
 
2.5%
6.1 1
 
2.5%
5.6 1
 
2.5%
4.9 1
 
2.5%
4.1 1
 
2.5%
3.9 1
 
2.5%
3.8 2
5.0%
3.6 4
10.0%
3.5 1
 
2.5%
Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.625
Minimum0
Maximum19
Zeros3
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:03.967425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.775
median10.25
Q311.725
95-th percentile15.425
Maximum19
Range19
Interquartile range (IQR)3.95

Descriptive statistics

Standard deviation4.2329447
Coefficient of variation (CV)0.43978646
Kurtosis0.64901909
Mean9.625
Median Absolute Deviation (MAD)1.6
Skewness-0.54100086
Sum385
Variance17.917821
MonotonicityNot monotonic
2024-01-28T22:55:04.072206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 3
 
7.5%
7.7 2
 
5.0%
9.5 2
 
5.0%
9.1 2
 
5.0%
11.1 2
 
5.0%
11.8 2
 
5.0%
15.2 1
 
2.5%
11.5 1
 
2.5%
9.7 1
 
2.5%
7.8 1
 
2.5%
Other values (23) 23
57.5%
ValueCountFrequency (%)
0.0 3
7.5%
3.7 1
 
2.5%
4.0 1
 
2.5%
5.0 1
 
2.5%
5.3 1
 
2.5%
6.1 1
 
2.5%
7.7 2
5.0%
7.8 1
 
2.5%
8.6 1
 
2.5%
8.9 1
 
2.5%
ValueCountFrequency (%)
19.0 1
2.5%
15.9 1
2.5%
15.4 1
2.5%
15.2 1
2.5%
14.7 1
2.5%
14.5 1
2.5%
12.6 1
2.5%
12.3 1
2.5%
11.8 2
5.0%
11.7 1
2.5%
Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5675
Minimum35.9
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:04.189662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.9
5-th percentile36.675
Q143.475
median46.3
Q349.575
95-th percentile54.955
Maximum71
Range35.1
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation6.4184984
Coefficient of variation (CV)0.13783214
Kurtosis4.2782166
Mean46.5675
Median Absolute Deviation (MAD)3.05
Skewness1.1651329
Sum1862.7
Variance41.197122
MonotonicityNot monotonic
2024-01-28T22:55:04.298771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
46.1 3
 
7.5%
46.2 2
 
5.0%
48.7 1
 
2.5%
56.0 1
 
2.5%
44.4 1
 
2.5%
41.2 1
 
2.5%
51.1 1
 
2.5%
51.2 1
 
2.5%
47.6 1
 
2.5%
36.7 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
35.9 1
2.5%
36.2 1
2.5%
36.7 1
2.5%
37.1 1
2.5%
38.0 1
2.5%
40.0 1
2.5%
40.7 1
2.5%
41.2 1
2.5%
42.2 1
2.5%
43.4 1
2.5%
ValueCountFrequency (%)
71.0 1
2.5%
56.0 1
2.5%
54.9 1
2.5%
53.7 1
2.5%
53.0 1
2.5%
51.2 1
2.5%
51.1 1
2.5%
50.7 1
2.5%
50.0 1
2.5%
49.8 1
2.5%
Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5975
Minimum12.7
Maximum35.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:04.410265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.7
5-th percentile21.44
Q126.2
median28.8
Q331.85
95-th percentile34.44
Maximum35.5
Range22.8
Interquartile range (IQR)5.65

Descriptive statistics

Standard deviation4.6136079
Coefficient of variation (CV)0.16132907
Kurtosis2.2511959
Mean28.5975
Median Absolute Deviation (MAD)2.75
Skewness-1.0312199
Sum1143.9
Variance21.285378
MonotonicityNot monotonic
2024-01-28T22:55:04.527110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
26.2 4
 
10.0%
29.1 2
 
5.0%
34.0 1
 
2.5%
22.7 1
 
2.5%
29.8 1
 
2.5%
27.5 1
 
2.5%
24.1 1
 
2.5%
33.3 1
 
2.5%
33.5 1
 
2.5%
27.3 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
12.7 1
 
2.5%
20.3 1
 
2.5%
21.5 1
 
2.5%
22.7 1
 
2.5%
24.1 1
 
2.5%
24.4 1
 
2.5%
24.5 1
 
2.5%
26.0 1
 
2.5%
26.1 1
 
2.5%
26.2 4
10.0%
ValueCountFrequency (%)
35.5 1
2.5%
35.2 1
2.5%
34.4 1
2.5%
34.3 1
2.5%
34.0 1
2.5%
33.7 1
2.5%
33.5 1
2.5%
33.3 1
2.5%
32.7 1
2.5%
32.0 1
2.5%
Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.27
Minimum3.1
Maximum21.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:04.648760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile7.495
Q110.45
median11.9
Q314
95-th percentile16.505
Maximum21.2
Range18.1
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation3.3220476
Coefficient of variation (CV)0.27074552
Kurtosis1.7801837
Mean12.27
Median Absolute Deviation (MAD)1.9
Skewness0.20294858
Sum490.8
Variance11.036
MonotonicityNot monotonic
2024-01-28T22:55:04.779728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
11.5 2
 
5.0%
11.9 2
 
5.0%
16.3 2
 
5.0%
13.8 2
 
5.0%
14.5 2
 
5.0%
10.3 1
 
2.5%
12.5 1
 
2.5%
8.3 1
 
2.5%
8.0 1
 
2.5%
11.4 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
3.1 1
2.5%
7.4 1
2.5%
7.5 1
2.5%
8.0 1
2.5%
8.3 1
2.5%
9.4 1
2.5%
9.8 1
2.5%
9.9 1
2.5%
10.1 1
2.5%
10.3 1
2.5%
ValueCountFrequency (%)
21.2 1
2.5%
20.4 1
2.5%
16.3 2
5.0%
15.5 1
2.5%
14.9 1
2.5%
14.8 1
2.5%
14.5 2
5.0%
14.3 1
2.5%
13.9 1
2.5%
13.8 2
5.0%
Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.38
Minimum3.1
Maximum3.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:04.910653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.295
Q13.3
median3.4
Q33.4
95-th percentile3.505
Maximum3.6
Range0.5
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.10177905
Coefficient of variation (CV)0.030112144
Kurtosis0.63121479
Mean3.38
Median Absolute Deviation (MAD)0.1
Skewness-0.036863719
Sum135.2
Variance0.010358974
MonotonicityNot monotonic
2024-01-28T22:55:05.017415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3.4 15
37.5%
3.3 14
35.0%
3.5 7
17.5%
3.6 2
 
5.0%
3.1 1
 
2.5%
3.2 1
 
2.5%
ValueCountFrequency (%)
3.1 1
 
2.5%
3.2 1
 
2.5%
3.3 14
35.0%
3.4 15
37.5%
3.5 7
17.5%
3.6 2
 
5.0%
ValueCountFrequency (%)
3.6 2
 
5.0%
3.5 7
17.5%
3.4 15
37.5%
3.3 14
35.0%
3.2 1
 
2.5%
3.1 1
 
2.5%
Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.005
Minimum0
Maximum7.1
Zeros3
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:05.113313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.15
median2.75
Q33.6
95-th percentile6.41
Maximum7.1
Range7.1
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.7805142
Coefficient of variation (CV)0.5925172
Kurtosis0.034195836
Mean3.005
Median Absolute Deviation (MAD)0.85
Skewness0.46328878
Sum120.2
Variance3.1702308
MonotonicityNot monotonic
2024-01-28T22:55:05.213127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 3
 
7.5%
2.7 3
 
7.5%
3.0 3
 
7.5%
3.6 3
 
7.5%
2.6 2
 
5.0%
3.3 2
 
5.0%
2.2 2
 
5.0%
2.5 2
 
5.0%
4.3 1
 
2.5%
7.1 1
 
2.5%
Other values (18) 18
45.0%
ValueCountFrequency (%)
0.0 3
7.5%
0.6 1
 
2.5%
0.8 1
 
2.5%
0.9 1
 
2.5%
1.3 1
 
2.5%
1.5 1
 
2.5%
1.8 1
 
2.5%
2.0 1
 
2.5%
2.2 2
5.0%
2.4 1
 
2.5%
ValueCountFrequency (%)
7.1 1
 
2.5%
6.6 1
 
2.5%
6.4 1
 
2.5%
5.9 1
 
2.5%
5.8 1
 
2.5%
5.4 1
 
2.5%
4.9 1
 
2.5%
4.3 1
 
2.5%
4.1 1
 
2.5%
3.6 3
7.5%
Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0875
Minimum0
Maximum25.8
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:05.324356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.765
Q18.5
median9.7
Q311.575
95-th percentile15.505
Maximum25.8
Range25.8
Interquartile range (IQR)3.075

Descriptive statistics

Standard deviation4.2029408
Coefficient of variation (CV)0.41664841
Kurtosis4.3514211
Mean10.0875
Median Absolute Deviation (MAD)1.55
Skewness1.0153033
Sum403.5
Variance17.664712
MonotonicityNot monotonic
2024-01-28T22:55:05.444787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
9.3 2
 
5.0%
9.5 2
 
5.0%
5.7 2
 
5.0%
9.6 2
 
5.0%
15.5 1
 
2.5%
13.8 1
 
2.5%
15.0 1
 
2.5%
10.7 1
 
2.5%
8.2 1
 
2.5%
14.6 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
0.0 1
2.5%
4.1 1
2.5%
4.8 1
2.5%
5.0 1
2.5%
5.5 1
2.5%
5.7 2
5.0%
6.5 1
2.5%
8.1 1
2.5%
8.2 1
2.5%
8.6 1
2.5%
ValueCountFrequency (%)
25.8 1
2.5%
15.6 1
2.5%
15.5 1
2.5%
15.4 1
2.5%
15.0 1
2.5%
14.6 1
2.5%
13.8 1
2.5%
12.5 1
2.5%
12.1 1
2.5%
11.8 1
2.5%
Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.325
Minimum29.9
Maximum81.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:05.562560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.9
5-th percentile43.065
Q147.35
median51.3
Q353.975
95-th percentile60.815
Maximum81.2
Range51.3
Interquartile range (IQR)6.625

Descriptive statistics

Standard deviation7.6213179
Coefficient of variation (CV)0.14849134
Kurtosis6.2001689
Mean51.325
Median Absolute Deviation (MAD)3.65
Skewness1.0326916
Sum2053
Variance58.084487
MonotonicityNot monotonic
2024-01-28T22:55:05.680847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
52.6 2
 
5.0%
49.8 2
 
5.0%
46.9 2
 
5.0%
52.3 1
 
2.5%
52.2 1
 
2.5%
53.4 1
 
2.5%
45.1 1
 
2.5%
50.0 1
 
2.5%
55.9 1
 
2.5%
59.9 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
29.9 1
2.5%
40.5 1
2.5%
43.2 1
2.5%
43.3 1
2.5%
45.1 1
2.5%
45.3 1
2.5%
45.7 1
2.5%
45.9 1
2.5%
46.9 2
5.0%
47.5 1
2.5%
ValueCountFrequency (%)
81.2 1
2.5%
61.1 1
2.5%
60.8 1
2.5%
59.9 1
2.5%
59.8 1
2.5%
56.6 1
2.5%
56.5 1
2.5%
55.9 1
2.5%
55.4 1
2.5%
54.2 1
2.5%
Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.745
Minimum9.3
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:05.779407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile16.695
Q121.575
median25
Q327.525
95-th percentile33.515
Maximum37.5
Range28.2
Interquartile range (IQR)5.95

Descriptive statistics

Standard deviation5.6759027
Coefficient of variation (CV)0.22937574
Kurtosis0.59877257
Mean24.745
Median Absolute Deviation (MAD)3
Skewness-0.13014424
Sum989.8
Variance32.215872
MonotonicityNot monotonic
2024-01-28T22:55:05.885259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
24.9 2
 
5.0%
23.8 2
 
5.0%
25.3 2
 
5.0%
19.1 1
 
2.5%
30.7 1
 
2.5%
26.6 1
 
2.5%
24.5 1
 
2.5%
16.8 1
 
2.5%
30.4 1
 
2.5%
27.5 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
9.3 1
2.5%
16.6 1
2.5%
16.7 1
2.5%
16.8 1
2.5%
16.9 1
2.5%
18.8 1
2.5%
19.1 1
2.5%
19.7 1
2.5%
20.1 1
2.5%
21.5 1
2.5%
ValueCountFrequency (%)
37.5 1
2.5%
35.7 1
2.5%
33.4 1
2.5%
32.4 1
2.5%
32.3 1
2.5%
30.7 1
2.5%
30.4 1
2.5%
29.8 1
2.5%
28.5 1
2.5%
27.6 1
2.5%
Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.8375
Minimum0
Maximum19
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:05.986919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.675
Q19.2
median10.95
Q312.7
95-th percentile17.025
Maximum19
Range19
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.4962755
Coefficient of variation (CV)0.32260904
Kurtosis1.750775
Mean10.8375
Median Absolute Deviation (MAD)1.75
Skewness-0.35117284
Sum433.5
Variance12.223942
MonotonicityNot monotonic
2024-01-28T22:55:06.092736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7.4 2
 
5.0%
11.7 2
 
5.0%
9.3 2
 
5.0%
10.7 2
 
5.0%
10.6 2
 
5.0%
13.4 2
 
5.0%
12.7 2
 
5.0%
11.1 2
 
5.0%
5.2 1
 
2.5%
10.8 1
 
2.5%
Other values (22) 22
55.0%
ValueCountFrequency (%)
0.0 1
2.5%
5.2 1
2.5%
5.7 1
2.5%
6.8 1
2.5%
7.0 1
2.5%
7.4 2
5.0%
7.9 1
2.5%
8.6 1
2.5%
8.9 1
2.5%
9.3 2
5.0%
ValueCountFrequency (%)
19.0 1
2.5%
17.5 1
2.5%
17.0 1
2.5%
15.2 1
2.5%
14.2 1
2.5%
13.6 1
2.5%
13.5 1
2.5%
13.4 2
5.0%
12.7 2
5.0%
12.3 1
2.5%
Distinct8
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.305
Minimum2.9
Maximum3.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:06.184849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3
Q13.275
median3.3
Q33.4
95-th percentile3.505
Maximum3.6
Range0.7
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation0.15350603
Coefficient of variation (CV)0.046446606
Kurtosis0.61003878
Mean3.305
Median Absolute Deviation (MAD)0.1
Skewness-0.49090258
Sum132.2
Variance0.023564103
MonotonicityNot monotonic
2024-01-28T22:55:06.277968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3.3 16
40.0%
3.4 8
20.0%
3.2 4
 
10.0%
3.5 4
 
10.0%
3.1 3
 
7.5%
3.0 2
 
5.0%
3.6 2
 
5.0%
2.9 1
 
2.5%
ValueCountFrequency (%)
2.9 1
 
2.5%
3.0 2
 
5.0%
3.1 3
 
7.5%
3.2 4
 
10.0%
3.3 16
40.0%
3.4 8
20.0%
3.5 4
 
10.0%
3.6 2
 
5.0%
ValueCountFrequency (%)
3.6 2
 
5.0%
3.5 4
 
10.0%
3.4 8
20.0%
3.3 16
40.0%
3.2 4
 
10.0%
3.1 3
 
7.5%
3.0 2
 
5.0%
2.9 1
 
2.5%
Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.855
Minimum0
Maximum27.5
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:06.374174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.565
Q14.65
median6.05
Q37.575
95-th percentile12.015
Maximum27.5
Range27.5
Interquartile range (IQR)2.925

Descriptive statistics

Standard deviation4.4421611
Coefficient of variation (CV)0.64801766
Kurtosis11.66874
Mean6.855
Median Absolute Deviation (MAD)1.45
Skewness2.80699
Sum274.2
Variance19.732795
MonotonicityNot monotonic
2024-01-28T22:55:06.467555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4.9 3
 
7.5%
7.1 2
 
5.0%
4.7 2
 
5.0%
5.9 2
 
5.0%
8.4 2
 
5.0%
4.4 2
 
5.0%
4.2 2
 
5.0%
2.9 1
 
2.5%
7.4 1
 
2.5%
6.9 1
 
2.5%
Other values (22) 22
55.0%
ValueCountFrequency (%)
0.0 1
 
2.5%
1.9 1
 
2.5%
2.6 1
 
2.5%
2.9 1
 
2.5%
3.0 1
 
2.5%
4.2 2
5.0%
4.4 2
5.0%
4.5 1
 
2.5%
4.7 2
5.0%
4.9 3
7.5%
ValueCountFrequency (%)
27.5 1
2.5%
16.1 1
2.5%
11.8 1
2.5%
11.3 1
2.5%
10.8 1
2.5%
9.2 1
2.5%
8.9 1
2.5%
8.4 2
5.0%
8.1 1
2.5%
7.4 1
2.5%
Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.1675
Minimum5.6
Maximum24.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:06.580744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile8.33
Q111.05
median12.8
Q314.325
95-th percentile20.945
Maximum24.9
Range19.3
Interquartile range (IQR)3.275

Descriptive statistics

Standard deviation3.7163111
Coefficient of variation (CV)0.28223361
Kurtosis2.2417899
Mean13.1675
Median Absolute Deviation (MAD)1.7
Skewness0.99553735
Sum526.7
Variance13.810968
MonotonicityNot monotonic
2024-01-28T22:55:06.717035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
13.4 3
 
7.5%
13.6 2
 
5.0%
12.7 2
 
5.0%
11.1 2
 
5.0%
12.2 2
 
5.0%
14.3 2
 
5.0%
10.9 2
 
5.0%
9.9 2
 
5.0%
15.4 1
 
2.5%
24.9 1
 
2.5%
Other values (21) 21
52.5%
ValueCountFrequency (%)
5.6 1
2.5%
7.0 1
2.5%
8.4 1
2.5%
8.8 1
2.5%
9.7 1
2.5%
9.9 2
5.0%
10.7 1
2.5%
10.9 2
5.0%
11.1 2
5.0%
11.4 1
2.5%
ValueCountFrequency (%)
24.9 1
2.5%
21.8 1
2.5%
20.9 1
2.5%
17.8 1
2.5%
16.9 1
2.5%
16.0 1
2.5%
15.6 1
2.5%
15.4 1
2.5%
15.0 1
2.5%
14.4 1
2.5%
Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.57
Minimum33.1
Maximum60.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:06.839720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.1
5-th percentile37.455
Q143.375
median48.6
Q352.125
95-th percentile55.165
Maximum60.6
Range27.5
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation6.1117457
Coefficient of variation (CV)0.12847899
Kurtosis-0.31410342
Mean47.57
Median Absolute Deviation (MAD)4.35
Skewness-0.21911167
Sum1902.8
Variance37.353436
MonotonicityNot monotonic
2024-01-28T22:55:06.940581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
44.2 2
 
5.0%
54.2 2
 
5.0%
46.0 1
 
2.5%
52.1 1
 
2.5%
52.0 1
 
2.5%
55.0 1
 
2.5%
51.4 1
 
2.5%
37.5 1
 
2.5%
52.6 1
 
2.5%
40.1 1
 
2.5%
Other values (28) 28
70.0%
ValueCountFrequency (%)
33.1 1
2.5%
36.6 1
2.5%
37.5 1
2.5%
40.0 1
2.5%
40.1 1
2.5%
40.7 1
2.5%
40.9 1
2.5%
42.2 1
2.5%
42.3 1
2.5%
42.7 1
2.5%
ValueCountFrequency (%)
60.6 1
2.5%
58.3 1
2.5%
55.0 1
2.5%
54.2 2
5.0%
53.4 1
2.5%
53.1 1
2.5%
52.9 1
2.5%
52.6 1
2.5%
52.2 1
2.5%
52.1 1
2.5%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.0475
Minimum1.6
Maximum52.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:07.423418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile16.135
Q120.7
median21.7
Q323
95-th percentile29.26
Maximum52.2
Range50.6
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation7.3364208
Coefficient of variation (CV)0.33275523
Kurtosis8.7797444
Mean22.0475
Median Absolute Deviation (MAD)1.25
Skewness1.0675367
Sum881.9
Variance53.823071
MonotonicityNot monotonic
2024-01-28T22:55:07.542795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
21.2 2
 
5.0%
21.9 2
 
5.0%
21.7 2
 
5.0%
21.3 2
 
5.0%
22.0 2
 
5.0%
21.5 2
 
5.0%
19.0 1
 
2.5%
24.0 1
 
2.5%
22.7 1
 
2.5%
16.8 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
1.6 1
2.5%
3.5 1
2.5%
16.8 1
2.5%
17.8 1
2.5%
18.4 1
2.5%
19.0 1
2.5%
19.1 1
2.5%
19.2 1
2.5%
19.4 1
2.5%
20.4 1
2.5%
ValueCountFrequency (%)
52.2 1
2.5%
36.1 1
2.5%
28.9 1
2.5%
27.9 1
2.5%
27.7 1
2.5%
24.4 1
2.5%
24.0 1
2.5%
23.7 1
2.5%
23.4 1
2.5%
23.3 1
2.5%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.3675
Minimum0
Maximum19.7
Zeros2
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:07.674008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.33
Q18.675
median10.85
Q312.525
95-th percentile18.525
Maximum19.7
Range19.7
Interquartile range (IQR)3.85

Descriptive statistics

Standard deviation4.5614543
Coefficient of variation (CV)0.4399763
Kurtosis0.72830784
Mean10.3675
Median Absolute Deviation (MAD)1.9
Skewness-0.46165504
Sum414.7
Variance20.806865
MonotonicityNot monotonic
2024-01-28T22:55:07.813947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
9.8 3
 
7.5%
0.0 2
 
5.0%
12.1 2
 
5.0%
10.5 2
 
5.0%
8.3 2
 
5.0%
12.5 1
 
2.5%
1.4 1
 
2.5%
10.4 1
 
2.5%
19.7 1
 
2.5%
9.2 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
0.0 2
5.0%
1.4 1
2.5%
2.4 1
2.5%
2.6 1
2.5%
6.5 1
2.5%
6.9 1
2.5%
7.3 1
2.5%
8.3 2
5.0%
8.8 1
2.5%
9.2 1
2.5%
ValueCountFrequency (%)
19.7 1
2.5%
19.0 1
2.5%
18.5 1
2.5%
16.8 1
2.5%
14.1 1
2.5%
13.4 1
2.5%
13.3 1
2.5%
13.1 1
2.5%
13.0 1
2.5%
12.6 1
2.5%
Distinct11
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.17
Minimum2.6
Maximum3.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:07.920105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile2.795
Q13.1
median3.2
Q33.225
95-th percentile3.405
Maximum3.6
Range1
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation0.18973666
Coefficient of variation (CV)0.059853836
Kurtosis2.2488886
Mean3.17
Median Absolute Deviation (MAD)0.1
Skewness-0.91895248
Sum126.8
Variance0.036
MonotonicityNot monotonic
2024-01-28T22:55:08.015211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.2 18
45.0%
3.1 6
 
15.0%
3.3 6
 
15.0%
3.4 2
 
5.0%
2.9 2
 
5.0%
3.0 1
 
2.5%
3.6 1
 
2.5%
3.5 1
 
2.5%
2.6 1
 
2.5%
2.7 1
 
2.5%
ValueCountFrequency (%)
2.6 1
 
2.5%
2.7 1
 
2.5%
2.8 1
 
2.5%
2.9 2
 
5.0%
3.0 1
 
2.5%
3.1 6
 
15.0%
3.2 18
45.0%
3.3 6
 
15.0%
3.4 2
 
5.0%
3.5 1
 
2.5%
ValueCountFrequency (%)
3.6 1
 
2.5%
3.5 1
 
2.5%
3.4 2
 
5.0%
3.3 6
 
15.0%
3.2 18
45.0%
3.1 6
 
15.0%
3.0 1
 
2.5%
2.9 2
 
5.0%
2.8 1
 
2.5%
2.7 1
 
2.5%
Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8225
Minimum0
Maximum7.9
Zeros5
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:08.123895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.075
median2.75
Q33.425
95-th percentile5.955
Maximum7.9
Range7.9
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.8371505
Coefficient of variation (CV)0.65089476
Kurtosis0.81744769
Mean2.8225
Median Absolute Deviation (MAD)0.7
Skewness0.60591145
Sum112.9
Variance3.3751218
MonotonicityNot monotonic
2024-01-28T22:55:08.251164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 5
 
12.5%
2.8 3
 
7.5%
2.2 3
 
7.5%
2.1 2
 
5.0%
2.9 2
 
5.0%
3.4 2
 
5.0%
2.3 1
 
2.5%
7.9 1
 
2.5%
3.5 1
 
2.5%
7.0 1
 
2.5%
Other values (19) 19
47.5%
ValueCountFrequency (%)
0.0 5
12.5%
0.1 1
 
2.5%
1.2 1
 
2.5%
1.7 1
 
2.5%
1.9 1
 
2.5%
2.0 1
 
2.5%
2.1 2
 
5.0%
2.2 3
7.5%
2.3 1
 
2.5%
2.4 1
 
2.5%
ValueCountFrequency (%)
7.9 1
2.5%
7.0 1
2.5%
5.9 1
2.5%
5.5 1
2.5%
5.0 1
2.5%
4.9 1
2.5%
4.5 1
2.5%
4.2 1
2.5%
3.8 1
2.5%
3.5 1
2.5%
Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.0575
Minimum5.7
Maximum20.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:08.371045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.185
Q19.45
median10.65
Q312.7
95-th percentile16.34
Maximum20.5
Range14.8
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation3.1955006
Coefficient of variation (CV)0.28898943
Kurtosis0.95800047
Mean11.0575
Median Absolute Deviation (MAD)1.5
Skewness0.70104307
Sum442.3
Variance10.211224
MonotonicityNot monotonic
2024-01-28T22:55:08.476941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
10.5 3
 
7.5%
10.0 3
 
7.5%
10.8 3
 
7.5%
16.3 2
 
5.0%
10.6 2
 
5.0%
13.4 1
 
2.5%
10.7 1
 
2.5%
12.5 1
 
2.5%
6.3 1
 
2.5%
11.0 1
 
2.5%
Other values (22) 22
55.0%
ValueCountFrequency (%)
5.7 1
2.5%
5.9 1
2.5%
6.2 1
2.5%
6.3 1
2.5%
6.8 1
2.5%
7.7 1
2.5%
8.3 1
2.5%
8.5 1
2.5%
9.0 1
2.5%
9.3 1
2.5%
ValueCountFrequency (%)
20.5 1
2.5%
17.1 1
2.5%
16.3 2
5.0%
15.6 1
2.5%
14.0 1
2.5%
13.8 1
2.5%
13.7 1
2.5%
13.4 1
2.5%
13.3 1
2.5%
12.5 1
2.5%
Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.255
Minimum37.6
Maximum83.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:08.595163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.6
5-th percentile45.71
Q152.25
median56.4
Q359.025
95-th percentile63.505
Maximum83.7
Range46.1
Interquartile range (IQR)6.775

Descriptive statistics

Standard deviation7.1705219
Coefficient of variation (CV)0.12746462
Kurtosis5.6431299
Mean56.255
Median Absolute Deviation (MAD)3.3
Skewness0.74836578
Sum2250.2
Variance51.416385
MonotonicityNot monotonic
2024-01-28T22:55:08.717937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
57.8 2
 
5.0%
51.3 2
 
5.0%
58.7 2
 
5.0%
56.6 2
 
5.0%
57.5 2
 
5.0%
63.4 1
 
2.5%
63.1 1
 
2.5%
54.4 1
 
2.5%
55.9 1
 
2.5%
57.3 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
37.6 1
2.5%
40.2 1
2.5%
46.0 1
2.5%
50.9 1
2.5%
51.2 1
2.5%
51.3 2
5.0%
51.5 1
2.5%
51.7 1
2.5%
52.1 1
2.5%
52.3 1
2.5%
ValueCountFrequency (%)
83.7 1
2.5%
65.5 1
2.5%
63.4 1
2.5%
63.1 1
2.5%
61.8 1
2.5%
61.6 1
2.5%
61.5 1
2.5%
60.6 1
2.5%
60.0 1
2.5%
59.4 1
2.5%
Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.77
Minimum0
Maximum29.7
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:08.839779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.36
Q118.925
median21.45
Q323.025
95-th percentile28.335
Maximum29.7
Range29.7
Interquartile range (IQR)4.1

Descriptive statistics

Standard deviation5.2199912
Coefficient of variation (CV)0.2513236
Kurtosis5.8598536
Mean20.77
Median Absolute Deviation (MAD)2.45
Skewness-1.6636288
Sum830.8
Variance27.248308
MonotonicityNot monotonic
2024-01-28T22:55:08.944241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
16.6 2
 
5.0%
15.7 2
 
5.0%
21.4 2
 
5.0%
21.7 2
 
5.0%
20.4 2
 
5.0%
17.9 2
 
5.0%
23.0 2
 
5.0%
24.5 2
 
5.0%
19.0 2
 
5.0%
21.9 1
 
2.5%
Other values (21) 21
52.5%
ValueCountFrequency (%)
0.0 1
2.5%
8.9 1
2.5%
15.7 2
5.0%
16.6 2
5.0%
17.1 1
2.5%
17.9 2
5.0%
18.7 1
2.5%
19.0 2
5.0%
19.3 1
2.5%
19.6 1
2.5%
ValueCountFrequency (%)
29.7 1
2.5%
29.0 1
2.5%
28.3 1
2.5%
27.6 1
2.5%
25.8 1
2.5%
24.5 2
5.0%
24.4 1
2.5%
24.2 1
2.5%
23.1 1
2.5%
23.0 2
5.0%
Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0775
Minimum0
Maximum17.5
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:09.045585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.07
Q17.8
median8.7
Q310
95-th percentile15.75
Maximum17.5
Range17.5
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation3.4721225
Coefficient of variation (CV)0.38249766
Kurtosis1.1011149
Mean9.0775
Median Absolute Deviation (MAD)1.1
Skewness0.22243744
Sum363.1
Variance12.055635
MonotonicityNot monotonic
2024-01-28T22:55:09.148823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
8.7 3
 
7.5%
9.6 3
 
7.5%
8.3 3
 
7.5%
12.7 2
 
5.0%
7.8 2
 
5.0%
6.8 1
 
2.5%
10.3 1
 
2.5%
5.7 1
 
2.5%
5.5 1
 
2.5%
5.4 1
 
2.5%
Other values (22) 22
55.0%
ValueCountFrequency (%)
0.0 1
2.5%
3.5 1
2.5%
4.1 1
2.5%
4.3 1
2.5%
5.4 1
2.5%
5.5 1
2.5%
5.7 1
2.5%
6.8 1
2.5%
7.5 1
2.5%
7.8 2
5.0%
ValueCountFrequency (%)
17.5 1
2.5%
16.7 1
2.5%
15.7 1
2.5%
13.9 1
2.5%
13.7 1
2.5%
12.7 2
5.0%
11.2 1
2.5%
11.0 1
2.5%
10.3 1
2.5%
9.9 1
2.5%
Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.22
Minimum2.8
Maximum3.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:09.240452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.095
Q13.2
median3.2
Q33.3
95-th percentile3.4
Maximum3.5
Range0.7
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.10907537
Coefficient of variation (CV)0.033874338
Kurtosis5.7330969
Mean3.22
Median Absolute Deviation (MAD)0
Skewness-1.0432521
Sum128.8
Variance0.011897436
MonotonicityNot monotonic
2024-01-28T22:55:09.324176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3.2 24
60.0%
3.3 9
 
22.5%
3.1 2
 
5.0%
3.4 2
 
5.0%
3.5 1
 
2.5%
2.8 1
 
2.5%
3.0 1
 
2.5%
ValueCountFrequency (%)
2.8 1
 
2.5%
3.0 1
 
2.5%
3.1 2
 
5.0%
3.2 24
60.0%
3.3 9
 
22.5%
3.4 2
 
5.0%
3.5 1
 
2.5%
ValueCountFrequency (%)
3.5 1
 
2.5%
3.4 2
 
5.0%
3.3 9
 
22.5%
3.2 24
60.0%
3.1 2
 
5.0%
3.0 1
 
2.5%
2.8 1
 
2.5%
Distinct21
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.29
Minimum0
Maximum5.8
Zeros2
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:09.419882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.855
Q11.625
median2.3
Q32.65
95-th percentile4.24
Maximum5.8
Range5.8
Interquartile range (IQR)1.025

Descriptive statistics

Standard deviation1.1430503
Coefficient of variation (CV)0.49914862
Kurtosis1.981044
Mean2.29
Median Absolute Deviation (MAD)0.5
Skewness0.78930678
Sum91.6
Variance1.3065641
MonotonicityNot monotonic
2024-01-28T22:55:09.514681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2.4 5
 
12.5%
2.3 4
 
10.0%
2.6 3
 
7.5%
2.8 3
 
7.5%
1.3 2
 
5.0%
1.4 2
 
5.0%
1.2 2
 
5.0%
2.1 2
 
5.0%
2.2 2
 
5.0%
0.0 2
 
5.0%
Other values (11) 13
32.5%
ValueCountFrequency (%)
0.0 2
5.0%
0.9 1
2.5%
1.1 1
2.5%
1.2 2
5.0%
1.3 2
5.0%
1.4 2
5.0%
1.7 2
5.0%
1.8 1
2.5%
2.0 1
2.5%
2.1 2
5.0%
ValueCountFrequency (%)
5.8 1
 
2.5%
5.0 1
 
2.5%
4.2 1
 
2.5%
4.0 1
 
2.5%
3.6 1
 
2.5%
3.0 2
 
5.0%
2.8 3
7.5%
2.6 3
7.5%
2.4 5
12.5%
2.3 4
10.0%
Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1075
Minimum2.9
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:09.617287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3
Q16.275
median7.3
Q38.3
95-th percentile12.95
Maximum31
Range28.1
Interquartile range (IQR)2.025

Descriptive statistics

Standard deviation4.5256187
Coefficient of variation (CV)0.5582015
Kurtosis16.832149
Mean8.1075
Median Absolute Deviation (MAD)1
Skewness3.5167393
Sum324.3
Variance20.481224
MonotonicityNot monotonic
2024-01-28T22:55:09.722859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7.4 3
 
7.5%
7.9 3
 
7.5%
3.0 2
 
5.0%
6.9 2
 
5.0%
6.2 2
 
5.0%
7.0 2
 
5.0%
6.3 2
 
5.0%
6.5 2
 
5.0%
8.3 2
 
5.0%
11.6 1
 
2.5%
Other values (19) 19
47.5%
ValueCountFrequency (%)
2.9 1
2.5%
3.0 2
5.0%
4.5 1
2.5%
4.9 1
2.5%
5.0 1
2.5%
5.3 1
2.5%
5.9 1
2.5%
6.2 2
5.0%
6.3 2
5.0%
6.5 2
5.0%
ValueCountFrequency (%)
31.0 1
2.5%
15.8 1
2.5%
12.8 1
2.5%
11.6 1
2.5%
11.3 1
2.5%
10.7 1
2.5%
10.3 1
2.5%
10.1 1
2.5%
9.7 1
2.5%
8.3 2
5.0%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.48
Minimum21.8
Maximum64.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:09.863504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.8
5-th percentile39.55
Q146.4
median49.95
Q354.65
95-th percentile57.26
Maximum64.8
Range43
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation7.2756073
Coefficient of variation (CV)0.14704138
Kurtosis4.8597101
Mean49.48
Median Absolute Deviation (MAD)3.85
Skewness-1.4327309
Sum1979.2
Variance52.934462
MonotonicityNot monotonic
2024-01-28T22:55:09.979622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
52.3 2
 
5.0%
46.5 2
 
5.0%
46.1 2
 
5.0%
55.7 2
 
5.0%
52.2 2
 
5.0%
50.0 2
 
5.0%
57.1 1
 
2.5%
49.9 1
 
2.5%
60.3 1
 
2.5%
55.9 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
21.8 1
2.5%
32.9 1
2.5%
39.9 1
2.5%
42.2 1
2.5%
43.8 1
2.5%
44.7 1
2.5%
45.5 1
2.5%
46.0 1
2.5%
46.1 2
5.0%
46.5 2
5.0%
ValueCountFrequency (%)
64.8 1
2.5%
60.3 1
2.5%
57.1 1
2.5%
56.5 1
2.5%
55.9 1
2.5%
55.7 2
5.0%
55.2 1
2.5%
55.0 1
2.5%
54.8 1
2.5%
54.6 1
2.5%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5375
Minimum8.4
Maximum29.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:10.079811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile12.185
Q118.575
median20.4
Q322.35
95-th percentile29.605
Maximum29.7
Range21.3
Interquartile range (IQR)3.775

Descriptive statistics

Standard deviation4.7006103
Coefficient of variation (CV)0.22887938
Kurtosis0.94302831
Mean20.5375
Median Absolute Deviation (MAD)1.9
Skewness-0.14055259
Sum821.5
Variance22.095737
MonotonicityNot monotonic
2024-01-28T22:55:10.183363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
22.1 3
 
7.5%
22.5 2
 
5.0%
19.1 2
 
5.0%
29.7 2
 
5.0%
18.9 2
 
5.0%
21.2 1
 
2.5%
17.3 1
 
2.5%
19.2 1
 
2.5%
21.3 1
 
2.5%
21.5 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
8.4 1
2.5%
10.0 1
2.5%
12.3 1
2.5%
15.2 1
2.5%
16.3 1
2.5%
17.3 1
2.5%
17.4 1
2.5%
17.5 1
2.5%
18.3 1
2.5%
18.5 1
2.5%
ValueCountFrequency (%)
29.7 2
5.0%
29.6 1
2.5%
28.8 1
2.5%
27.1 1
2.5%
25.4 1
2.5%
24.1 1
2.5%
23.4 1
2.5%
22.5 2
5.0%
22.3 1
2.5%
22.2 1
2.5%
Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.58
Minimum4.9
Maximum37.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:10.291912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile12.87
Q117
median18.6
Q321.35
95-th percentile28.71
Maximum37.7
Range32.8
Interquartile range (IQR)4.35

Descriptive statistics

Standard deviation5.520693
Coefficient of variation (CV)0.28195572
Kurtosis2.8649271
Mean19.58
Median Absolute Deviation (MAD)2.4
Skewness0.70908606
Sum783.2
Variance30.478051
MonotonicityNot monotonic
2024-01-28T22:55:10.395427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
17.7 3
 
7.5%
14.0 2
 
5.0%
21.3 2
 
5.0%
17.0 2
 
5.0%
28.6 1
 
2.5%
18.9 1
 
2.5%
18.4 1
 
2.5%
12.3 1
 
2.5%
24.1 1
 
2.5%
17.4 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
4.9 1
2.5%
12.3 1
2.5%
12.9 1
2.5%
14.0 2
5.0%
14.6 1
2.5%
15.1 1
2.5%
16.4 1
2.5%
16.7 1
2.5%
17.0 2
5.0%
17.1 1
2.5%
ValueCountFrequency (%)
37.7 1
2.5%
30.8 1
2.5%
28.6 1
2.5%
26.3 1
2.5%
25.7 1
2.5%
24.6 1
2.5%
24.1 1
2.5%
23.6 1
2.5%
23.0 1
2.5%
21.5 1
2.5%
Distinct8
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.47
Minimum3.1
Maximum3.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:10.488905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.295
Q13.4
median3.5
Q33.5
95-th percentile3.7
Maximum3.8
Range0.7
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.12649111
Coefficient of variation (CV)0.036452768
Kurtosis1.968367
Mean3.47
Median Absolute Deviation (MAD)0.1
Skewness-0.19684218
Sum138.8
Variance0.016
MonotonicityNot monotonic
2024-01-28T22:55:10.592082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3.5 17
42.5%
3.4 12
30.0%
3.6 4
 
10.0%
3.7 2
 
5.0%
3.3 2
 
5.0%
3.1 1
 
2.5%
3.2 1
 
2.5%
3.8 1
 
2.5%
ValueCountFrequency (%)
3.1 1
 
2.5%
3.2 1
 
2.5%
3.3 2
 
5.0%
3.4 12
30.0%
3.5 17
42.5%
3.6 4
 
10.0%
3.7 2
 
5.0%
3.8 1
 
2.5%
ValueCountFrequency (%)
3.8 1
 
2.5%
3.7 2
 
5.0%
3.6 4
 
10.0%
3.5 17
42.5%
3.4 12
30.0%
3.3 2
 
5.0%
3.2 1
 
2.5%
3.1 1
 
2.5%
Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1475
Minimum0
Maximum7.4
Zeros4
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:10.722789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.2
median2.9
Q34
95-th percentile6.905
Maximum7.4
Range7.4
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.8643742
Coefficient of variation (CV)0.59233492
Kurtosis0.086694431
Mean3.1475
Median Absolute Deviation (MAD)0.9
Skewness0.40298417
Sum125.9
Variance3.475891
MonotonicityNot monotonic
2024-01-28T22:55:10.825338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 4
 
10.0%
1.2 3
 
7.5%
2.6 3
 
7.5%
4.5 2
 
5.0%
2.2 2
 
5.0%
3.1 2
 
5.0%
2.8 2
 
5.0%
3.8 2
 
5.0%
2.7 2
 
5.0%
3.9 1
 
2.5%
Other values (17) 17
42.5%
ValueCountFrequency (%)
0.0 4
10.0%
1.2 3
7.5%
1.7 1
 
2.5%
2.0 1
 
2.5%
2.2 2
5.0%
2.3 1
 
2.5%
2.4 1
 
2.5%
2.6 3
7.5%
2.7 2
5.0%
2.8 2
5.0%
ValueCountFrequency (%)
7.4 1
2.5%
7.0 1
2.5%
6.9 1
2.5%
6.0 1
2.5%
5.8 1
2.5%
5.3 1
2.5%
4.9 1
2.5%
4.5 2
5.0%
4.3 1
2.5%
3.9 1
2.5%
Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.14
Minimum0
Maximum15.3
Zeros2
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:10.939352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.185
Q15.9
median7.25
Q38.8
95-th percentile10.245
Maximum15.3
Range15.3
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.8035509
Coefficient of variation (CV)0.39265418
Kurtosis2.1030231
Mean7.14
Median Absolute Deviation (MAD)1.4
Skewness-0.26799801
Sum285.6
Variance7.8598974
MonotonicityNot monotonic
2024-01-28T22:55:11.071513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8.8 3
 
7.5%
5.9 3
 
7.5%
7.8 3
 
7.5%
7.0 2
 
5.0%
6.3 2
 
5.0%
0.0 2
 
5.0%
9.4 1
 
2.5%
10.2 1
 
2.5%
7.9 1
 
2.5%
6.8 1
 
2.5%
Other values (21) 21
52.5%
ValueCountFrequency (%)
0.0 2
5.0%
2.3 1
 
2.5%
3.9 1
 
2.5%
4.1 1
 
2.5%
4.3 1
 
2.5%
4.8 1
 
2.5%
5.5 1
 
2.5%
5.9 3
7.5%
6.2 1
 
2.5%
6.3 2
5.0%
ValueCountFrequency (%)
15.3 1
 
2.5%
11.1 1
 
2.5%
10.2 1
 
2.5%
10.0 1
 
2.5%
9.8 1
 
2.5%
9.6 1
 
2.5%
9.4 1
 
2.5%
8.9 1
 
2.5%
8.8 3
7.5%
8.7 1
 
2.5%
Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.25
Minimum41.8
Maximum62.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:11.188283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.8
5-th percentile44.48
Q147.925
median50.7
Q354.15
95-th percentile61.31
Maximum62.1
Range20.3
Interquartile range (IQR)6.225

Descriptive statistics

Standard deviation4.8454578
Coefficient of variation (CV)0.094545519
Kurtosis0.15267099
Mean51.25
Median Absolute Deviation (MAD)3.2
Skewness0.45366919
Sum2050
Variance23.478462
MonotonicityNot monotonic
2024-01-28T22:55:11.296632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
51.2 2
 
5.0%
48.0 2
 
5.0%
47.5 2
 
5.0%
51.1 2
 
5.0%
50.5 2
 
5.0%
50.8 1
 
2.5%
47.7 1
 
2.5%
54.3 1
 
2.5%
47.1 1
 
2.5%
50.3 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
41.8 1
2.5%
42.2 1
2.5%
44.6 1
2.5%
45.1 1
2.5%
46.5 1
2.5%
47.0 1
2.5%
47.1 1
2.5%
47.5 2
5.0%
47.7 1
2.5%
48.0 2
5.0%
ValueCountFrequency (%)
62.1 1
2.5%
61.5 1
2.5%
61.3 1
2.5%
58.7 1
2.5%
58.6 1
2.5%
56.3 1
2.5%
55.4 1
2.5%
55.0 1
2.5%
54.4 1
2.5%
54.3 1
2.5%
Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.28
Minimum16.9
Maximum40.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:11.410176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.9
5-th percentile23.94
Q127.35
median29.25
Q331
95-th percentile36.315
Maximum40.8
Range23.9
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation4.4172273
Coefficient of variation (CV)0.15086159
Kurtosis2.5083957
Mean29.28
Median Absolute Deviation (MAD)1.75
Skewness-0.41596553
Sum1171.2
Variance19.511897
MonotonicityNot monotonic
2024-01-28T22:55:11.505624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
31.0 3
 
7.5%
27.2 3
 
7.5%
30.2 2
 
5.0%
24.3 2
 
5.0%
29.2 2
 
5.0%
28.7 2
 
5.0%
36.3 1
 
2.5%
29.6 1
 
2.5%
31.2 1
 
2.5%
33.7 1
 
2.5%
Other values (22) 22
55.0%
ValueCountFrequency (%)
16.9 1
 
2.5%
17.1 1
 
2.5%
24.3 2
5.0%
24.9 1
 
2.5%
25.6 1
 
2.5%
27.1 1
 
2.5%
27.2 3
7.5%
27.4 1
 
2.5%
27.7 1
 
2.5%
28.1 1
 
2.5%
ValueCountFrequency (%)
40.8 1
 
2.5%
36.6 1
 
2.5%
36.3 1
 
2.5%
36.0 1
 
2.5%
33.7 1
 
2.5%
33.4 1
 
2.5%
33.0 1
 
2.5%
31.2 1
 
2.5%
31.0 3
7.5%
30.8 1
 
2.5%
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1825
Minimum0
Maximum14.8
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:11.887116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.29
Q17.875
median9.25
Q311.225
95-th percentile13.735
Maximum14.8
Range14.8
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation3.1540684
Coefficient of variation (CV)0.34348689
Kurtosis1.359881
Mean9.1825
Median Absolute Deviation (MAD)1.55
Skewness-0.78719131
Sum367.3
Variance9.9481474
MonotonicityNot monotonic
2024-01-28T22:55:12.010579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8.8 3
 
7.5%
10.7 2
 
5.0%
11.5 2
 
5.0%
8.7 2
 
5.0%
9.6 2
 
5.0%
8.9 1
 
2.5%
8.2 1
 
2.5%
9.3 1
 
2.5%
9.7 1
 
2.5%
13.7 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
0.0 1
2.5%
2.1 1
2.5%
2.3 1
2.5%
5.6 1
2.5%
6.2 1
2.5%
6.7 1
2.5%
6.9 1
2.5%
7.0 1
2.5%
7.6 1
2.5%
7.8 1
2.5%
ValueCountFrequency (%)
14.8 1
2.5%
14.4 1
2.5%
13.7 1
2.5%
13.4 1
2.5%
13.0 1
2.5%
12.9 1
2.5%
11.7 1
2.5%
11.5 2
5.0%
11.3 1
2.5%
11.2 1
2.5%
Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.34
Minimum3.1
Maximum3.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T22:55:12.114710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.195
Q13.3
median3.35
Q33.4
95-th percentile3.5
Maximum3.6
Range0.5
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.10076629
Coefficient of variation (CV)0.030169549
Kurtosis0.90546288
Mean3.34
Median Absolute Deviation (MAD)0.05
Skewness-0.26590497
Sum133.6
Variance0.010153846
MonotonicityNot monotonic
2024-01-28T22:55:12.203717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3.4 17
42.5%
3.3 14
35.0%
3.2 4
 
10.0%
3.1 2
 
5.0%
3.5 2
 
5.0%
3.6 1
 
2.5%
ValueCountFrequency (%)
3.1 2
 
5.0%
3.2 4
 
10.0%
3.3 14
35.0%
3.4 17
42.5%
3.5 2
 
5.0%
3.6 1
 
2.5%
ValueCountFrequency (%)
3.6 1
 
2.5%
3.5 2
 
5.0%
3.4 17
42.5%
3.3 14
35.0%
3.2 4
 
10.0%
3.1 2
 
5.0%

Sample

특성별(1)특성별(2)교육내용_매우 불만족 (퍼센트)교육내용_약간 불만족 (퍼센트)교육내용_보통 (퍼센트)교육내용_약간 만족 (퍼센트)교육내용_매우 만족 (퍼센트)교육내용_5점 평균 (점)교육방법(교사나 교수의 수업지도 평가)_매우 불만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_약간 불만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_보통 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_약간 만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_매우 만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_5점 평균 (점)교우관계_매우 불만족 (퍼센트)교우관계_약간 불만족 (퍼센트)교우관계_보통 (퍼센트)교우관계_약간 만족 (퍼센트)교우관계_매우 만족 (퍼센트)교우관계_5점 평균 (점)교사(교수)와의 관계_매우 불만족 (퍼센트)교사(교수)와의 관계_약간 불만족 (퍼센트)교사(교수)와의 관계_보통 (퍼센트)교사(교수)와의 관계_약간 만족 (퍼센트)교사(교수)와의 관계_매우 만족 (퍼센트)교사(교수)와의 관계_5점 평균 (점)학교시설 및 설비_매우 불만족 (퍼센트)학교시설 및 설비_약간 불만족 (퍼센트)학교시설 및 설비_보통 (퍼센트)학교시설 및 설비_약간 만족 (퍼센트)학교시설 및 설비_매우 만족 (퍼센트)학교시설 및 설비_5점 평균 (점)학교 주변 환경_매우 불만족 (퍼센트)학교 주변 환경_약간 불만족 (퍼센트)학교 주변 환경_보통 (퍼센트)학교 주변 환경_약간 만족 (퍼센트)학교 주변 환경_매우 만족 (퍼센트)학교 주변 환경_5점 평균 (점)소질과 적성 개발_매우 불만족 (퍼센트)소질과 적성 개발_약간 불만족 (퍼센트)소질과 적성 개발_보통 (퍼센트)소질과 적성 개발_약간 만족 (퍼센트)소질과 적성 개발_매우 만족 (퍼센트)소질과 적성 개발_5점 평균 (점)전공(특목고 특성화고 대학(교) 대학원)_매우 불만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_약간 불만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_보통 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_약간 만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_매우 만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_5점 평균 (점)전반적인 학교생활_매우 불만족 (퍼센트)전반적인 학교생활_약간 불만족 (퍼센트)전반적인 학교생활_보통 (퍼센트)전반적인 학교생활_약간 만족 (퍼센트)전반적인 학교생활_매우 만족 (퍼센트)전반적인 학교생활_5점 평균 (점)
0군구별중구3.41.347.342.95.03.43.110.446.333.36.93.30.03.844.734.616.93.61.37.846.434.010.33.45.414.643.326.810.03.22.913.646.019.018.53.41.213.463.416.65.43.11.33.057.110.028.63.61.25.550.836.36.23.4
1군구별동구3.510.146.231.29.03.35.712.537.225.918.63.42.45.742.731.617.63.62.111.647.124.414.83.44.18.646.922.917.53.44.720.948.423.42.63.04.911.651.519.312.73.22.110.349.022.116.43.43.16.348.131.011.53.4
2군구별미추홀구9.518.837.830.53.33.011.015.240.631.71.53.02.112.152.929.83.03.23.815.450.027.73.13.16.610.260.816.75.73.08.912.658.317.82.42.92.89.365.519.03.53.13.68.364.818.54.93.17.48.854.127.42.33.1
3군구별연수구5.510.248.229.96.33.25.37.242.439.45.73.32.81.235.635.425.03.83.25.343.533.714.33.52.55.540.532.419.03.64.79.944.224.416.83.43.89.050.928.38.03.31.74.946.520.526.33.62.22.341.840.812.93.6
4군구별남동구4.313.740.538.92.53.23.420.745.025.05.93.10.714.838.733.212.73.45.614.746.126.27.43.23.615.651.421.57.93.15.615.651.920.46.53.11.916.351.722.47.83.21.310.743.827.117.13.51.211.162.116.98.73.2
5군구별부평구7.16.745.631.49.23.36.912.140.230.110.83.33.42.339.729.425.23.73.65.049.826.015.53.42.211.553.921.610.73.39.213.446.518.412.63.15.56.258.719.69.93.24.06.555.015.219.33.45.83.946.533.410.43.4
6군구별계양구3.07.237.247.05.63.42.914.634.629.018.93.50.85.634.232.626.93.80.014.537.132.016.33.50.94.145.932.317.03.65.912.742.327.711.43.32.15.751.224.216.73.52.83.039.929.724.63.72.68.945.129.014.43.4
7군구별서구3.35.643.834.412.93.54.49.246.627.812.03.31.81.934.538.922.93.82.58.647.728.312.83.40.68.156.525.29.73.42.69.954.221.312.03.32.211.561.516.68.23.21.17.454.818.917.83.42.38.851.128.19.63.3
8군구별강화군2.78.342.637.58.83.44.710.850.123.610.83.24.39.634.928.522.73.60.019.036.231.113.83.42.64.845.733.413.53.54.97.033.136.119.03.60.020.537.624.417.53.43.015.846.022.312.93.32.69.644.629.913.43.4
9군구별옹진군0.011.129.945.913.23.65.614.933.545.90.03.20.00.049.131.619.33.73.20.054.921.520.43.60.025.829.935.78.63.30.05.642.252.20.03.50.011.159.415.713.93.35.87.947.18.430.83.50.00.061.333.05.63.4
특성별(1)특성별(2)교육내용_매우 불만족 (퍼센트)교육내용_약간 불만족 (퍼센트)교육내용_보통 (퍼센트)교육내용_약간 만족 (퍼센트)교육내용_매우 만족 (퍼센트)교육내용_5점 평균 (점)교육방법(교사나 교수의 수업지도 평가)_매우 불만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_약간 불만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_보통 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_약간 만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_매우 만족 (퍼센트)교육방법(교사나 교수의 수업지도 평가)_5점 평균 (점)교우관계_매우 불만족 (퍼센트)교우관계_약간 불만족 (퍼센트)교우관계_보통 (퍼센트)교우관계_약간 만족 (퍼센트)교우관계_매우 만족 (퍼센트)교우관계_5점 평균 (점)교사(교수)와의 관계_매우 불만족 (퍼센트)교사(교수)와의 관계_약간 불만족 (퍼센트)교사(교수)와의 관계_보통 (퍼센트)교사(교수)와의 관계_약간 만족 (퍼센트)교사(교수)와의 관계_매우 만족 (퍼센트)교사(교수)와의 관계_5점 평균 (점)학교시설 및 설비_매우 불만족 (퍼센트)학교시설 및 설비_약간 불만족 (퍼센트)학교시설 및 설비_보통 (퍼센트)학교시설 및 설비_약간 만족 (퍼센트)학교시설 및 설비_매우 만족 (퍼센트)학교시설 및 설비_5점 평균 (점)학교 주변 환경_매우 불만족 (퍼센트)학교 주변 환경_약간 불만족 (퍼센트)학교 주변 환경_보통 (퍼센트)학교 주변 환경_약간 만족 (퍼센트)학교 주변 환경_매우 만족 (퍼센트)학교 주변 환경_5점 평균 (점)소질과 적성 개발_매우 불만족 (퍼센트)소질과 적성 개발_약간 불만족 (퍼센트)소질과 적성 개발_보통 (퍼센트)소질과 적성 개발_약간 만족 (퍼센트)소질과 적성 개발_매우 만족 (퍼센트)소질과 적성 개발_5점 평균 (점)전공(특목고 특성화고 대학(교) 대학원)_매우 불만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_약간 불만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_보통 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_약간 만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_매우 만족 (퍼센트)전공(특목고 특성화고 대학(교) 대학원)_5점 평균 (점)전반적인 학교생활_매우 불만족 (퍼센트)전반적인 학교생활_약간 불만족 (퍼센트)전반적인 학교생활_보통 (퍼센트)전반적인 학교생활_약간 만족 (퍼센트)전반적인 학교생활_매우 만족 (퍼센트)전반적인 학교생활_5점 평균 (점)
30주거형태별연립/다세대주택4.77.736.442.58.73.43.712.536.635.711.53.41.76.636.539.715.53.63.911.836.732.714.93.43.69.447.827.511.63.36.213.740.127.912.13.32.78.351.321.915.73.42.46.945.521.523.63.62.88.847.527.213.73.4
31주거형태별기타7.49.951.715.315.73.27.417.342.814.418.13.23.011.952.38.124.73.41.715.948.720.313.43.33.39.655.416.615.23.38.415.053.43.519.73.10.015.661.88.913.73.20.012.852.012.323.03.54.915.355.017.17.83.1
32주거점유형태별자가4.611.241.536.06.63.34.913.043.730.18.33.22.06.538.334.219.03.62.611.146.128.711.53.42.29.349.826.512.33.45.011.152.121.310.53.22.410.057.820.49.33.22.37.151.021.218.33.53.07.249.930.29.63.4
33주거점유형태별전세3.54.552.029.011.13.43.413.341.230.911.23.30.82.943.729.023.63.73.56.153.026.211.13.43.610.956.619.79.33.27.316.042.721.912.13.22.310.853.724.58.73.31.77.049.720.321.33.52.25.956.324.910.73.4
34주거점유형태별월세 및 기타11.87.439.437.33.93.112.411.836.530.58.83.13.38.439.235.413.73.57.510.435.934.311.93.36.411.854.220.17.43.18.416.940.723.710.43.17.914.052.321.74.13.02.67.955.718.615.13.47.09.847.029.27.03.2
35가구원수별1인8.514.242.631.73.03.15.617.725.847.13.83.30.09.655.319.215.83.40.09.849.526.214.53.57.115.461.19.37.02.911.824.940.021.91.42.80.05.960.029.74.33.31.411.646.119.521.53.50.08.755.429.16.73.3
36가구원수별2인9.93.738.940.17.43.35.614.438.126.715.13.32.48.437.838.512.93.58.64.044.735.27.53.34.312.545.328.59.33.37.115.443.621.412.53.27.017.140.224.511.23.22.65.342.228.821.23.62.46.758.624.38.03.3
37가구원수별3인5.28.142.736.27.83.38.59.936.933.711.03.32.96.137.834.618.73.64.97.743.430.813.23.41.89.546.929.812.13.47.112.944.921.713.43.22.111.453.422.011.03.32.46.547.529.614.03.54.54.342.236.013.03.5
38가구원수별4인5.011.043.534.16.53.34.914.146.326.58.23.22.15.938.833.619.63.62.012.648.326.210.93.32.610.852.323.810.63.34.412.253.121.58.83.22.810.057.521.48.33.22.87.452.217.520.03.43.88.652.527.27.93.3
39가구원수별5인 이상4.19.642.635.87.93.34.011.843.333.17.83.31.05.739.133.820.53.73.69.143.831.811.73.43.06.552.224.913.43.45.99.749.321.813.33.33.410.260.617.97.83.20.97.055.219.117.73.52.07.051.229.210.73.4