Overview

Dataset statistics

Number of variables31
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory281.1 B

Variable types

Text1
Numeric24
Categorical6

Dataset

Description사립학교교직원연금공단 신규 가입자 수와 관련된 데이터로 연령, 학교급별(유치원, 초등학교, 중학교, 고등학교, 전문대학, 대학(교), 특수학교, 학교경영기관), 교직원별(교원, 사무직원), 성별 신규가입자 수 현황 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15065017/fileData.do

Alerts

연령 has unique valuesUnique
유치원가입인원수(교원)(남) has 22 (52.4%) zerosZeros
유치원가입인원수(교원)(여) has 3 (7.1%) zerosZeros
유치원가입인원수(사무직원)(여) has 5 (11.9%) zerosZeros
초등학교가입인원수(교원)(여) has 20 (47.6%) zerosZeros
중학교가입인원수(교원)(남) has 13 (31.0%) zerosZeros
중학교가입인원수(교원)(여) has 14 (33.3%) zerosZeros
중학교가입인원수(사무직원)(남) has 16 (38.1%) zerosZeros
중학교가입인원수(사무직원)(여) has 20 (47.6%) zerosZeros
고등학교가입인원수(교원)(남) has 8 (19.0%) zerosZeros
고등학교가입인원수(교원)(여) has 12 (28.6%) zerosZeros
고등학교가입인원수(사무직원)(남) has 11 (26.2%) zerosZeros
고등학교가입인원수(사무직원)(여) has 14 (33.3%) zerosZeros
전문대학가입인원수(교원)(남) has 5 (11.9%) zerosZeros
전문대학가입인원수(교원)(여) has 4 (9.5%) zerosZeros
전문대학가입인원수(사무직원)(남) has 12 (28.6%) zerosZeros
전문대학가입인원수(사무직원)(여) has 14 (33.3%) zerosZeros
대학가입인원수(교)(교원)(남) has 3 (7.1%) zerosZeros
대학가입인원수(교)(교원)(여) has 5 (11.9%) zerosZeros
대학가입인원수(교)(사무직원)(남) has 5 (11.9%) zerosZeros
대학가입인원수(교)(사무직원)(여) has 5 (11.9%) zerosZeros
특수학교가입인원수(교원)(남) has 28 (66.7%) zerosZeros
특수학교가입인원수(교원)(여) has 18 (42.9%) zerosZeros
특수학교가입인원수(사무직원)(남) has 25 (59.5%) zerosZeros
학교경영기관가입인원수(사무직원)(남) has 25 (59.5%) zerosZeros

Reproduction

Analysis started2023-12-12 00:19:39.730096
Analysis finished2023-12-12 00:19:39.981536
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연령
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T09:19:40.094656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters252
Distinct characters16
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

Unique42 ?
Unique (%)100.0%

Sample

1st row25세 미만
2nd row26세 미만
3rd row27세 미만
4th row28세 미만
5th row29세 미만
ValueCountFrequency (%)
미만 41
48.8%
65세 2
 
2.4%
46세 1
 
1.2%
47세 1
 
1.2%
48세 1
 
1.2%
49세 1
 
1.2%
50세 1
 
1.2%
51세 1
 
1.2%
52세 1
 
1.2%
53세 1
 
1.2%
Other values (33) 33
39.3%
2023-12-12T09:19:40.329340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
16.7%
42
16.7%
41
16.3%
41
16.3%
5 16
 
6.3%
3 14
 
5.6%
4 14
 
5.6%
6 11
 
4.4%
2 9
 
3.6%
7 4
 
1.6%
Other values (6) 18
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
50.0%
Decimal Number 84
33.3%
Space Separator 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 16
19.0%
3 14
16.7%
4 14
16.7%
6 11
13.1%
2 9
10.7%
7 4
 
4.8%
8 4
 
4.8%
9 4
 
4.8%
0 4
 
4.8%
1 4
 
4.8%
Other Letter
ValueCountFrequency (%)
42
33.3%
41
32.5%
41
32.5%
1
 
0.8%
1
 
0.8%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
50.0%
Common 126
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
42
33.3%
5 16
 
12.7%
3 14
 
11.1%
4 14
 
11.1%
6 11
 
8.7%
2 9
 
7.1%
7 4
 
3.2%
8 4
 
3.2%
9 4
 
3.2%
0 4
 
3.2%
Hangul
ValueCountFrequency (%)
42
33.3%
41
32.5%
41
32.5%
1
 
0.8%
1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
50.0%
ASCII 126
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
33.3%
41
32.5%
41
32.5%
1
 
0.8%
1
 
0.8%
ASCII
ValueCountFrequency (%)
42
33.3%
5 16
 
12.7%
3 14
 
11.1%
4 14
 
11.1%
6 11
 
8.7%
2 9
 
7.1%
7 4
 
3.2%
8 4
 
3.2%
9 4
 
3.2%
0 4
 
3.2%

유치원가입인원수(교원)(남)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0238095
Minimum0
Maximum26
Zeros22
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:40.424256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.95
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.7394972
Coefficient of variation (CV)2.3418692
Kurtosis16.945099
Mean2.0238095
Median Absolute Deviation (MAD)0
Skewness3.871252
Sum85
Variance22.462834
MonotonicityNot monotonic
2023-12-12T09:19:40.506882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 22
52.4%
1 11
26.2%
6 3
 
7.1%
2 2
 
4.8%
26 1
 
2.4%
7 1
 
2.4%
15 1
 
2.4%
4 1
 
2.4%
ValueCountFrequency (%)
0 22
52.4%
1 11
26.2%
2 2
 
4.8%
4 1
 
2.4%
6 3
 
7.1%
7 1
 
2.4%
15 1
 
2.4%
26 1
 
2.4%
ValueCountFrequency (%)
26 1
 
2.4%
15 1
 
2.4%
7 1
 
2.4%
6 3
 
7.1%
4 1
 
2.4%
2 2
 
4.8%
1 11
26.2%
0 22
52.4%

유치원가입인원수(교원)(여)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.88095
Minimum0
Maximum3331
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:40.603102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q19
median31
Q364.75
95-th percentile348.4
Maximum3331
Range3331
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation513.43911
Coefficient of variation (CV)3.5438689
Kurtosis38.644548
Mean144.88095
Median Absolute Deviation (MAD)23.5
Skewness6.1152785
Sum6085
Variance263619.72
MonotonicityNot monotonic
2023-12-12T09:19:40.697067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 3
 
7.1%
7 3
 
7.1%
12 3
 
7.1%
30 2
 
4.8%
9 2
 
4.8%
53 2
 
4.8%
68 2
 
4.8%
26 1
 
2.4%
22 1
 
2.4%
13 1
 
2.4%
Other values (22) 22
52.4%
ValueCountFrequency (%)
0 3
7.1%
1 1
 
2.4%
2 1
 
2.4%
3 1
 
2.4%
7 3
7.1%
8 1
 
2.4%
9 2
4.8%
12 3
7.1%
13 1
 
2.4%
17 1
 
2.4%
ValueCountFrequency (%)
3331 1
2.4%
441 1
2.4%
351 1
2.4%
299 1
2.4%
234 1
2.4%
192 1
2.4%
178 1
2.4%
139 1
2.4%
99 1
2.4%
68 2
4.8%
Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
13 
0
10 
3
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row3
2nd row1
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 13
31.0%
0 10
23.8%
3 9
21.4%
2 9
21.4%
4 1
 
2.4%

Length

2023-12-12T09:19:40.802352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:19:40.884578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
31.0%
0 10
23.8%
3 9
21.4%
2 9
21.4%
4 1
 
2.4%
Distinct13
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6190476
Minimum0
Maximum43
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:40.967676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median7.5
Q310
95-th percentile11.95
Maximum43
Range43
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.6733996
Coefficient of variation (CV)0.8758837
Kurtosis19.402697
Mean7.6190476
Median Absolute Deviation (MAD)2.5
Skewness3.5889661
Sum320
Variance44.534262
MonotonicityNot monotonic
2023-12-12T09:19:41.052680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 10
23.8%
0 5
11.9%
6 4
 
9.5%
8 4
 
9.5%
5 4
 
9.5%
7 4
 
9.5%
9 2
 
4.8%
11 2
 
4.8%
12 2
 
4.8%
1 2
 
4.8%
Other values (3) 3
 
7.1%
ValueCountFrequency (%)
0 5
11.9%
1 2
 
4.8%
3 1
 
2.4%
4 1
 
2.4%
5 4
 
9.5%
6 4
 
9.5%
7 4
 
9.5%
8 4
 
9.5%
9 2
 
4.8%
10 10
23.8%
ValueCountFrequency (%)
43 1
 
2.4%
12 2
 
4.8%
11 2
 
4.8%
10 10
23.8%
9 2
 
4.8%
8 4
 
9.5%
7 4
 
9.5%
6 4
 
9.5%
5 4
 
9.5%
4 1
 
2.4%
Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
28 
1
11 
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row2

Common Values

ValueCountFrequency (%)
0 28
66.7%
1 11
 
26.2%
2 2
 
4.8%
3 1
 
2.4%

Length

2023-12-12T09:19:41.145203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:19:41.238175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
66.7%
1 11
 
26.2%
2 2
 
4.8%
3 1
 
2.4%
Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5714286
Minimum0
Maximum17
Zeros20
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:41.311781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.95
Maximum17
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.0694629
Coefficient of variation (CV)1.9532946
Kurtosis15.978358
Mean1.5714286
Median Absolute Deviation (MAD)1
Skewness3.673269
Sum66
Variance9.4216028
MonotonicityNot monotonic
2023-12-12T09:19:41.406361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 20
47.6%
1 10
23.8%
2 6
 
14.3%
17 1
 
2.4%
5 1
 
2.4%
9 1
 
2.4%
4 1
 
2.4%
6 1
 
2.4%
3 1
 
2.4%
ValueCountFrequency (%)
0 20
47.6%
1 10
23.8%
2 6
 
14.3%
3 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 1
 
2.4%
9 1
 
2.4%
17 1
 
2.4%
ValueCountFrequency (%)
17 1
 
2.4%
9 1
 
2.4%
6 1
 
2.4%
5 1
 
2.4%
4 1
 
2.4%
3 1
 
2.4%
2 6
 
14.3%
1 10
23.8%
0 20
47.6%
Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
27 
1
10 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 27
64.3%
1 10
 
23.8%
2 5
 
11.9%

Length

2023-12-12T09:19:41.530501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:19:41.613376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
64.3%
1 10
 
23.8%
2 5
 
11.9%
Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
35 
1
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 35
83.3%
1 5
 
11.9%
2 2
 
4.8%

Length

2023-12-12T09:19:41.693548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:19:41.774097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
83.3%
1 5
 
11.9%
2 2
 
4.8%

중학교가입인원수(교원)(남)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0952381
Minimum0
Maximum16
Zeros13
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:41.848083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q36.5
95-th percentile12.9
Maximum16
Range16
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation4.4601735
Coefficient of variation (CV)1.0891121
Kurtosis0.38653553
Mean4.0952381
Median Absolute Deviation (MAD)3.5
Skewness1.066489
Sum172
Variance19.893148
MonotonicityNot monotonic
2023-12-12T09:19:41.939383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 13
31.0%
4 5
 
11.9%
5 5
 
11.9%
1 5
 
11.9%
8 3
 
7.1%
10 2
 
4.8%
2 2
 
4.8%
11 1
 
2.4%
15 1
 
2.4%
16 1
 
2.4%
Other values (4) 4
 
9.5%
ValueCountFrequency (%)
0 13
31.0%
1 5
 
11.9%
2 2
 
4.8%
3 1
 
2.4%
4 5
 
11.9%
5 5
 
11.9%
7 1
 
2.4%
8 3
 
7.1%
9 1
 
2.4%
10 2
 
4.8%
ValueCountFrequency (%)
16 1
 
2.4%
15 1
 
2.4%
13 1
 
2.4%
11 1
 
2.4%
10 2
 
4.8%
9 1
 
2.4%
8 3
7.1%
7 1
 
2.4%
5 5
11.9%
4 5
11.9%

중학교가입인원수(교원)(여)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5238095
Minimum0
Maximum19
Zeros14
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:42.034802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q37
95-th percentile15.95
Maximum19
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6059119
Coefficient of variation (CV)1.2392016
Kurtosis0.19364482
Mean4.5238095
Median Absolute Deviation (MAD)1.5
Skewness1.1602075
Sum190
Variance31.426249
MonotonicityNot monotonic
2023-12-12T09:19:42.129930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 14
33.3%
1 7
16.7%
6 3
 
7.1%
2 3
 
7.1%
7 2
 
4.8%
10 2
 
4.8%
4 1
 
2.4%
3 1
 
2.4%
5 1
 
2.4%
15 1
 
2.4%
Other values (7) 7
16.7%
ValueCountFrequency (%)
0 14
33.3%
1 7
16.7%
2 3
 
7.1%
3 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 3
 
7.1%
7 2
 
4.8%
9 1
 
2.4%
10 2
 
4.8%
ValueCountFrequency (%)
19 1
2.4%
17 1
2.4%
16 1
2.4%
15 1
2.4%
14 1
2.4%
12 1
2.4%
11 1
2.4%
10 2
4.8%
9 1
2.4%
7 2
4.8%
Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0238095
Minimum0
Maximum9
Zeros16
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:42.230040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1918707
Coefficient of variation (CV)1.083042
Kurtosis0.84822146
Mean2.0238095
Median Absolute Deviation (MAD)1.5
Skewness1.033422
Sum85
Variance4.8042973
MonotonicityNot monotonic
2023-12-12T09:19:42.314310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 16
38.1%
3 6
 
14.3%
2 5
 
11.9%
5 5
 
11.9%
1 5
 
11.9%
4 3
 
7.1%
9 1
 
2.4%
6 1
 
2.4%
ValueCountFrequency (%)
0 16
38.1%
1 5
 
11.9%
2 5
 
11.9%
3 6
 
14.3%
4 3
 
7.1%
5 5
 
11.9%
6 1
 
2.4%
9 1
 
2.4%
ValueCountFrequency (%)
9 1
 
2.4%
6 1
 
2.4%
5 5
 
11.9%
4 3
 
7.1%
3 6
 
14.3%
2 5
 
11.9%
1 5
 
11.9%
0 16
38.1%
Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1904762
Minimum0
Maximum8
Zeros20
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:42.466165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.9
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6999009
Coefficient of variation (CV)1.4279168
Kurtosis5.7172986
Mean1.1904762
Median Absolute Deviation (MAD)1
Skewness2.1584623
Sum50
Variance2.8896632
MonotonicityNot monotonic
2023-12-12T09:19:42.576114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
47.6%
1 9
21.4%
2 7
 
16.7%
3 3
 
7.1%
5 2
 
4.8%
8 1
 
2.4%
ValueCountFrequency (%)
0 20
47.6%
1 9
21.4%
2 7
 
16.7%
3 3
 
7.1%
5 2
 
4.8%
8 1
 
2.4%
ValueCountFrequency (%)
8 1
 
2.4%
5 2
 
4.8%
3 3
 
7.1%
2 7
 
16.7%
1 9
21.4%
0 20
47.6%
Distinct23
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.428571
Minimum0
Maximum59
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:42.999442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6.5
Q325.75
95-th percentile50.6
Maximum59
Range59
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation17.421801
Coefficient of variation (CV)1.1291908
Kurtosis-0.030430387
Mean15.428571
Median Absolute Deviation (MAD)6.5
Skewness1.030274
Sum648
Variance303.51916
MonotonicityNot monotonic
2023-12-12T09:19:43.135418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 8
19.0%
2 7
16.7%
1 2
 
4.8%
40 2
 
4.8%
5 2
 
4.8%
25 2
 
4.8%
19 2
 
4.8%
14 2
 
4.8%
3 1
 
2.4%
16 1
 
2.4%
Other values (13) 13
31.0%
ValueCountFrequency (%)
0 8
19.0%
1 2
 
4.8%
2 7
16.7%
3 1
 
2.4%
5 2
 
4.8%
6 1
 
2.4%
7 1
 
2.4%
13 1
 
2.4%
14 2
 
4.8%
16 1
 
2.4%
ValueCountFrequency (%)
59 1
2.4%
55 1
2.4%
51 1
2.4%
43 1
2.4%
42 1
2.4%
40 2
4.8%
32 1
2.4%
29 1
2.4%
27 1
2.4%
26 1
2.4%
Distinct20
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.809524
Minimum0
Maximum53
Zeros12
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:43.271896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q326
95-th percentile42.85
Maximum53
Range53
Interquartile range (IQR)26

Descriptive statistics

Standard deviation16.871448
Coefficient of variation (CV)1.1392296
Kurtosis-0.69465593
Mean14.809524
Median Absolute Deviation (MAD)5
Skewness0.7945059
Sum622
Variance284.64576
MonotonicityNot monotonic
2023-12-12T09:19:43.390422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 12
28.6%
2 3
 
7.1%
1 3
 
7.1%
23 3
 
7.1%
26 3
 
7.1%
32 2
 
4.8%
53 2
 
4.8%
5 2
 
4.8%
10 1
 
2.4%
3 1
 
2.4%
Other values (10) 10
23.8%
ValueCountFrequency (%)
0 12
28.6%
1 3
 
7.1%
2 3
 
7.1%
3 1
 
2.4%
4 1
 
2.4%
5 2
 
4.8%
6 1
 
2.4%
10 1
 
2.4%
16 1
 
2.4%
18 1
 
2.4%
ValueCountFrequency (%)
53 2
4.8%
43 1
 
2.4%
40 1
 
2.4%
39 1
 
2.4%
38 1
 
2.4%
35 1
 
2.4%
34 1
 
2.4%
32 2
4.8%
26 3
7.1%
23 3
7.1%
Distinct14
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2142857
Minimum0
Maximum15
Zeros11
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:43.509519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median2.5
Q37
95-th percentile13.95
Maximum15
Range15
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation4.6198707
Coefficient of variation (CV)1.0962405
Kurtosis-0.027878994
Mean4.2142857
Median Absolute Deviation (MAD)2.5
Skewness1.0560578
Sum177
Variance21.343206
MonotonicityNot monotonic
2023-12-12T09:19:43.634730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 11
26.2%
1 6
14.3%
7 4
 
9.5%
3 4
 
9.5%
2 4
 
9.5%
5 3
 
7.1%
13 2
 
4.8%
14 2
 
4.8%
6 1
 
2.4%
15 1
 
2.4%
Other values (4) 4
 
9.5%
ValueCountFrequency (%)
0 11
26.2%
1 6
14.3%
2 4
 
9.5%
3 4
 
9.5%
4 1
 
2.4%
5 3
 
7.1%
6 1
 
2.4%
7 4
 
9.5%
8 1
 
2.4%
10 1
 
2.4%
ValueCountFrequency (%)
15 1
 
2.4%
14 2
4.8%
13 2
4.8%
11 1
 
2.4%
10 1
 
2.4%
8 1
 
2.4%
7 4
9.5%
6 1
 
2.4%
5 3
7.1%
4 1
 
2.4%
Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6666667
Minimum0
Maximum8
Zeros14
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:43.766695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.6287961
Coefficient of variation (CV)0.98579855
Kurtosis-1.0475108
Mean2.6666667
Median Absolute Deviation (MAD)2
Skewness0.54258789
Sum112
Variance6.9105691
MonotonicityNot monotonic
2023-12-12T09:19:43.867467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 14
33.3%
1 5
 
11.9%
6 4
 
9.5%
4 4
 
9.5%
5 4
 
9.5%
2 4
 
9.5%
3 3
 
7.1%
7 2
 
4.8%
8 2
 
4.8%
ValueCountFrequency (%)
0 14
33.3%
1 5
 
11.9%
2 4
 
9.5%
3 3
 
7.1%
4 4
 
9.5%
5 4
 
9.5%
6 4
 
9.5%
7 2
 
4.8%
8 2
 
4.8%
ValueCountFrequency (%)
8 2
 
4.8%
7 2
 
4.8%
6 4
 
9.5%
5 4
 
9.5%
4 4
 
9.5%
3 3
 
7.1%
2 4
 
9.5%
1 5
 
11.9%
0 14
33.3%
Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3809524
Minimum0
Maximum18
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:43.996629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median7
Q310
95-th percentile15
Maximum18
Range18
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation4.7572916
Coefficient of variation (CV)0.64453628
Kurtosis-0.54411466
Mean7.3809524
Median Absolute Deviation (MAD)3.5
Skewness0.10352146
Sum310
Variance22.631823
MonotonicityNot monotonic
2023-12-12T09:19:44.137456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7 7
16.7%
9 6
14.3%
0 5
11.9%
3 3
7.1%
10 3
7.1%
11 3
7.1%
6 2
 
4.8%
15 2
 
4.8%
1 2
 
4.8%
12 2
 
4.8%
Other values (7) 7
16.7%
ValueCountFrequency (%)
0 5
11.9%
1 2
 
4.8%
2 1
 
2.4%
3 3
7.1%
4 1
 
2.4%
5 1
 
2.4%
6 2
 
4.8%
7 7
16.7%
8 1
 
2.4%
9 6
14.3%
ValueCountFrequency (%)
18 1
 
2.4%
16 1
 
2.4%
15 2
 
4.8%
14 1
 
2.4%
12 2
 
4.8%
11 3
7.1%
10 3
7.1%
9 6
14.3%
8 1
 
2.4%
7 7
16.7%
Distinct20
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8
Minimum0
Maximum20
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:44.316919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6.5
Q312.75
95-th percentile17.95
Maximum20
Range20
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation5.7381904
Coefficient of variation (CV)0.7172738
Kurtosis-0.88950402
Mean8
Median Absolute Deviation (MAD)4.5
Skewness0.39118023
Sum336
Variance32.926829
MonotonicityNot monotonic
2023-12-12T09:19:44.452494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 4
 
9.5%
4 4
 
9.5%
6 4
 
9.5%
5 3
 
7.1%
15 3
 
7.1%
1 2
 
4.8%
3 2
 
4.8%
10 2
 
4.8%
8 2
 
4.8%
14 2
 
4.8%
Other values (10) 14
33.3%
ValueCountFrequency (%)
0 4
9.5%
1 2
4.8%
2 2
4.8%
3 2
4.8%
4 4
9.5%
5 3
7.1%
6 4
9.5%
7 1
 
2.4%
8 2
4.8%
9 2
4.8%
ValueCountFrequency (%)
20 1
 
2.4%
19 1
 
2.4%
18 1
 
2.4%
17 1
 
2.4%
15 3
7.1%
14 2
4.8%
13 2
4.8%
12 2
4.8%
11 1
 
2.4%
10 2
4.8%
Distinct15
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3809524
Minimum0
Maximum18
Zeros12
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:44.601105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q37.75
95-th percentile13.95
Maximum18
Range18
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation4.8887745
Coefficient of variation (CV)1.1159159
Kurtosis0.5493359
Mean4.3809524
Median Absolute Deviation (MAD)3
Skewness1.1291803
Sum184
Variance23.900116
MonotonicityNot monotonic
2023-12-12T09:19:44.739417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
28.6%
1 7
16.7%
4 5
11.9%
8 3
 
7.1%
6 2
 
4.8%
9 2
 
4.8%
5 2
 
4.8%
2 2
 
4.8%
10 1
 
2.4%
16 1
 
2.4%
Other values (5) 5
11.9%
ValueCountFrequency (%)
0 12
28.6%
1 7
16.7%
2 2
 
4.8%
4 5
11.9%
5 2
 
4.8%
6 2
 
4.8%
7 1
 
2.4%
8 3
 
7.1%
9 2
 
4.8%
10 1
 
2.4%
ValueCountFrequency (%)
18 1
 
2.4%
16 1
 
2.4%
14 1
 
2.4%
13 1
 
2.4%
11 1
 
2.4%
10 1
 
2.4%
9 2
4.8%
8 3
7.1%
7 1
 
2.4%
6 2
4.8%
Distinct12
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1428571
Minimum0
Maximum23
Zeros14
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:44.859519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35.75
95-th percentile13.9
Maximum23
Range23
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation5.1160743
Coefficient of variation (CV)1.2349145
Kurtosis3.6707029
Mean4.1428571
Median Absolute Deviation (MAD)3
Skewness1.7858579
Sum174
Variance26.174216
MonotonicityNot monotonic
2023-12-12T09:19:44.984181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 14
33.3%
3 7
16.7%
5 4
 
9.5%
1 4
 
9.5%
6 3
 
7.1%
10 2
 
4.8%
9 2
 
4.8%
4 2
 
4.8%
23 1
 
2.4%
12 1
 
2.4%
Other values (2) 2
 
4.8%
ValueCountFrequency (%)
0 14
33.3%
1 4
 
9.5%
3 7
16.7%
4 2
 
4.8%
5 4
 
9.5%
6 3
 
7.1%
9 2
 
4.8%
10 2
 
4.8%
12 1
 
2.4%
14 1
 
2.4%
ValueCountFrequency (%)
23 1
 
2.4%
16 1
 
2.4%
14 1
 
2.4%
12 1
 
2.4%
10 2
 
4.8%
9 2
 
4.8%
6 3
7.1%
5 4
9.5%
4 2
 
4.8%
3 7
16.7%
Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.761905
Minimum0
Maximum96
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:45.153691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q119.25
median29.5
Q362
95-th percentile86.9
Maximum96
Range96
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation28.403718
Coefficient of variation (CV)0.75217917
Kurtosis-0.83022213
Mean37.761905
Median Absolute Deviation (MAD)13.5
Skewness0.57496464
Sum1586
Variance806.7712
MonotonicityNot monotonic
2023-12-12T09:19:45.312391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 3
 
7.1%
71 2
 
4.8%
1 2
 
4.8%
21 2
 
4.8%
76 2
 
4.8%
19 2
 
4.8%
37 2
 
4.8%
29 2
 
4.8%
20 2
 
4.8%
28 1
 
2.4%
Other values (22) 22
52.4%
ValueCountFrequency (%)
0 3
7.1%
1 2
4.8%
5 1
 
2.4%
6 1
 
2.4%
16 1
 
2.4%
18 1
 
2.4%
19 2
4.8%
20 2
4.8%
21 2
4.8%
22 1
 
2.4%
ValueCountFrequency (%)
96 1
2.4%
88 1
2.4%
87 1
2.4%
85 1
2.4%
82 1
2.4%
77 1
2.4%
76 2
4.8%
71 2
4.8%
66 1
2.4%
50 1
2.4%
Distinct26
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.190476
Minimum0
Maximum51
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:45.465874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median16
Q328.75
95-th percentile43.95
Maximum51
Range51
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation15.857964
Coefficient of variation (CV)0.8717729
Kurtosis-1.0945899
Mean18.190476
Median Absolute Deviation (MAD)12
Skewness0.52554219
Sum764
Variance251.47503
MonotonicityNot monotonic
2023-12-12T09:19:45.643198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 5
 
11.9%
5 4
 
9.5%
2 3
 
7.1%
22 2
 
4.8%
4 2
 
4.8%
8 2
 
4.8%
21 2
 
4.8%
7 2
 
4.8%
39 2
 
4.8%
28 2
 
4.8%
Other values (16) 16
38.1%
ValueCountFrequency (%)
0 5
11.9%
2 3
7.1%
4 2
 
4.8%
5 4
9.5%
6 1
 
2.4%
7 2
 
4.8%
8 2
 
4.8%
11 1
 
2.4%
15 1
 
2.4%
17 1
 
2.4%
ValueCountFrequency (%)
51 1
2.4%
46 1
2.4%
44 1
2.4%
43 1
2.4%
42 1
2.4%
40 1
2.4%
39 2
4.8%
38 1
2.4%
34 1
2.4%
29 1
2.4%
Distinct33
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.71429
Minimum0
Maximum933
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:45.784667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median29.5
Q3195.5
95-th percentile584.2
Maximum933
Range933
Interquartile range (IQR)189.5

Descriptive statistics

Standard deviation219.62288
Coefficient of variation (CV)1.6064369
Kurtosis5.5492125
Mean136.71429
Median Absolute Deviation (MAD)29.5
Skewness2.3316739
Sum5742
Variance48234.209
MonotonicityNot monotonic
2023-12-12T09:19:45.943463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 5
 
11.9%
16 2
 
4.8%
1 2
 
4.8%
4 2
 
4.8%
6 2
 
4.8%
18 2
 
4.8%
19 1
 
2.4%
42 1
 
2.4%
29 1
 
2.4%
24 1
 
2.4%
Other values (23) 23
54.8%
ValueCountFrequency (%)
0 5
11.9%
1 2
 
4.8%
4 2
 
4.8%
5 1
 
2.4%
6 2
 
4.8%
12 1
 
2.4%
16 2
 
4.8%
18 2
 
4.8%
19 1
 
2.4%
22 1
 
2.4%
ValueCountFrequency (%)
933 1
2.4%
852 1
2.4%
593 1
2.4%
417 1
2.4%
342 1
2.4%
307 1
2.4%
299 1
2.4%
278 1
2.4%
275 1
2.4%
240 1
2.4%
Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.88095
Minimum0
Maximum6654
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:46.069866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.75
median52
Q3143.5
95-th percentile1024.05
Maximum6654
Range6654
Interquartile range (IQR)113.75

Descriptive statistics

Standard deviation1046.3396
Coefficient of variation (CV)3.1527557
Kurtosis34.449286
Mean331.88095
Median Absolute Deviation (MAD)42.5
Skewness5.6741483
Sum13939
Variance1094826.5
MonotonicityNot monotonic
2023-12-12T09:19:46.220962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 5
 
11.9%
7 2
 
4.8%
38 2
 
4.8%
6654 1
 
2.4%
51 1
 
2.4%
53 1
 
2.4%
47 1
 
2.4%
43 1
 
2.4%
41 1
 
2.4%
40 1
 
2.4%
Other values (26) 26
61.9%
ValueCountFrequency (%)
0 5
11.9%
2 1
 
2.4%
7 2
 
4.8%
14 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
38 2
 
4.8%
40 1
 
2.4%
41 1
 
2.4%
42 1
 
2.4%
ValueCountFrequency (%)
6654 1
2.4%
1438 1
2.4%
1034 1
2.4%
835 1
2.4%
762 1
2.4%
539 1
2.4%
453 1
2.4%
361 1
2.4%
236 1
2.4%
180 1
2.4%
Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.78571429
Minimum0
Maximum5
Zeros28
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:46.345878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3350019
Coefficient of variation (CV)1.6990933
Kurtosis1.7223447
Mean0.78571429
Median Absolute Deviation (MAD)0
Skewness1.6402495
Sum33
Variance1.78223
MonotonicityNot monotonic
2023-12-12T09:19:46.449407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 28
66.7%
1 5
 
11.9%
3 5
 
11.9%
2 2
 
4.8%
5 1
 
2.4%
4 1
 
2.4%
ValueCountFrequency (%)
0 28
66.7%
1 5
 
11.9%
2 2
 
4.8%
3 5
 
11.9%
4 1
 
2.4%
5 1
 
2.4%
ValueCountFrequency (%)
5 1
 
2.4%
4 1
 
2.4%
3 5
 
11.9%
2 2
 
4.8%
1 5
 
11.9%
0 28
66.7%
Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0714286
Minimum0
Maximum6
Zeros18
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:46.571162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.95
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3323893
Coefficient of variation (CV)1.2435634
Kurtosis3.7616459
Mean1.0714286
Median Absolute Deviation (MAD)1
Skewness1.7473608
Sum45
Variance1.7752613
MonotonicityNot monotonic
2023-12-12T09:19:46.704400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
42.9%
1 12
28.6%
2 8
19.0%
4 2
 
4.8%
3 1
 
2.4%
6 1
 
2.4%
ValueCountFrequency (%)
0 18
42.9%
1 12
28.6%
2 8
19.0%
3 1
 
2.4%
4 2
 
4.8%
6 1
 
2.4%
ValueCountFrequency (%)
6 1
 
2.4%
4 2
 
4.8%
3 1
 
2.4%
2 8
19.0%
1 12
28.6%
0 18
42.9%
Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.78571429
Minimum0
Maximum6
Zeros25
Zeros (%)59.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:46.818986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3531483
Coefficient of variation (CV)1.7221888
Kurtosis6.190159
Mean0.78571429
Median Absolute Deviation (MAD)0
Skewness2.3946691
Sum33
Variance1.8310105
MonotonicityNot monotonic
2023-12-12T09:19:46.920655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
59.5%
1 10
 
23.8%
2 3
 
7.1%
3 2
 
4.8%
5 1
 
2.4%
6 1
 
2.4%
ValueCountFrequency (%)
0 25
59.5%
1 10
 
23.8%
2 3
 
7.1%
3 2
 
4.8%
5 1
 
2.4%
6 1
 
2.4%
ValueCountFrequency (%)
6 1
 
2.4%
5 1
 
2.4%
3 2
 
4.8%
2 3
 
7.1%
1 10
 
23.8%
0 25
59.5%
Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
24 
1
16 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 24
57.1%
1 16
38.1%
2 2
 
4.8%

Length

2023-12-12T09:19:47.035199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:19:47.141906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
57.1%
1 16
38.1%
2 2
 
4.8%
Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1904762
Minimum0
Maximum7
Zeros25
Zeros (%)59.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T09:19:47.232618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5.9
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9029899
Coefficient of variation (CV)1.5985115
Kurtosis2.084453
Mean1.1904762
Median Absolute Deviation (MAD)0
Skewness1.6977942
Sum50
Variance3.6213705
MonotonicityNot monotonic
2023-12-12T09:19:47.339723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 25
59.5%
1 5
 
11.9%
2 4
 
9.5%
4 3
 
7.1%
3 2
 
4.8%
6 2
 
4.8%
7 1
 
2.4%
ValueCountFrequency (%)
0 25
59.5%
1 5
 
11.9%
2 4
 
9.5%
3 2
 
4.8%
4 3
 
7.1%
6 2
 
4.8%
7 1
 
2.4%
ValueCountFrequency (%)
7 1
 
2.4%
6 2
 
4.8%
4 3
 
7.1%
3 2
 
4.8%
2 4
 
9.5%
1 5
 
11.9%
0 25
59.5%
Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
31 
1
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row2
2nd row2
3rd row3
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 31
73.8%
1 6
 
14.3%
2 4
 
9.5%
3 1
 
2.4%

Length

2023-12-12T09:19:47.479576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:19:47.609675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
73.8%
1 6
 
14.3%
2 4
 
9.5%
3 1
 
2.4%

Sample

연령유치원가입인원수(교원)(남)유치원가입인원수(교원)(여)유치원가입인원수(사무직원)(남)유치원가입인원수(사무직원)(여)초등학교가입인원수(교원)(남)초등학교가입인원수(교원)(여)초등학교가입인원수(사무직원)(남)초등학교가입인원수(사무직원)(여)중학교가입인원수(교원)(남)중학교가입인원수(교원)(여)중학교가입인원수(사무직원)(남)중학교가입인원수(사무직원)(여)고등학교가입인원수(교원)(남)고등학교가입인원수(교원)(여)고등학교가입인원수(사무직원)(남)고등학교가입인원수(사무직원)(여)전문대학가입인원수(교원)(남)전문대학가입인원수(교원)(여)전문대학가입인원수(사무직원)(남)전문대학가입인원수(사무직원)(여)대학가입인원수(교)(교원)(남)대학가입인원수(교)(교원)(여)대학가입인원수(교)(사무직원)(남)대학가입인원수(교)(사무직원)(여)특수학교가입인원수(교원)(남)특수학교가입인원수(교원)(여)특수학교가입인원수(사무직원)(남)특수학교가입인원수(사무직원)(여)학교경영기관가입인원수(사무직원)(남)학교경영기관가입인원수(사무직원)(여)
025세 미만263331343117110152133276001023001796654030102
126세 미만744111005004123214266400610009331438020022
227세 미만1535126091081142273515301812008521034020043
328세 미만62991814211195332401350016912593835113130
429세 미만623425212051695404314614181664417762121172
530세 미만0192251620151931405386141114206342539325260
631세 미만61783101200101462553811732992921299453261060
732세 미만113917322016105851531472414104021278361316140
833세 미만49919112081752423478361367729275236341040
934세 미만268442300774559327576667126307180512102
연령유치원가입인원수(교원)(남)유치원가입인원수(교원)(여)유치원가입인원수(사무직원)(남)유치원가입인원수(사무직원)(여)초등학교가입인원수(교원)(남)초등학교가입인원수(교원)(여)초등학교가입인원수(사무직원)(남)초등학교가입인원수(사무직원)(여)중학교가입인원수(교원)(남)중학교가입인원수(교원)(여)중학교가입인원수(사무직원)(남)중학교가입인원수(사무직원)(여)고등학교가입인원수(교원)(남)고등학교가입인원수(교원)(여)고등학교가입인원수(사무직원)(남)고등학교가입인원수(사무직원)(여)전문대학가입인원수(교원)(남)전문대학가입인원수(교원)(여)전문대학가입인원수(사무직원)(남)전문대학가입인원수(사무직원)(여)대학가입인원수(교)(교원)(남)대학가입인원수(교)(교원)(여)대학가입인원수(교)(사무직원)(남)대학가입인원수(교)(사무직원)(여)특수학교가입인원수(교원)(남)특수학교가입인원수(교원)(여)특수학교가입인원수(사무직원)(남)특수학교가입인원수(사무직원)(여)학교경영기관가입인원수(사무직원)(남)학교경영기관가입인원수(사무직원)(여)
3257세 미만0123120000010011306611208426000000
3358세 미만07370000300020004400218414000000
3459세 미만0711010000000001711025417000000
3560세 미만17190000200020011152137267000000
3661세 미만02010000000020001130028512000000
3762세 미만1300000010000000760029200000000
3863세 미만01000000000000001090018500000000
3964세 미만0000000000000000720019500000000
4065세 미만000000000000000073005000000000
4165세 이상000000000000000000001000000000