Overview

Dataset statistics

Number of variables27
Number of observations43
Missing cells445
Missing cells (%)38.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory246.1 B

Variable types

Numeric25
Categorical2

Dataset

Description1978년~2020년 국내원전 호기별(고리, 신고리, 월성, 한빛, 한울), 연도별 이용률 현황 - 국내원전 호기별, 연도별 이용률 현황.csv
Author원자력안전위원회
URLhttps://www.data.go.kr/data/15046075/fileData.do

Alerts

신고리 3두중 is highly imbalanced (69.5%)Imbalance
신고리 4두중 is highly imbalanced (79.9%)Imbalance
고 리 1WH has 3 (7.0%) missing valuesMissing
고 리 2WH has 4 (9.3%) missing valuesMissing
고 리 3WH has 7 (16.3%) missing valuesMissing
고 리 4WH has 8 (18.6%) missing valuesMissing
신고리 1두중 has 33 (76.7%) missing valuesMissing
신고리 2두중 has 34 (79.1%) missing valuesMissing
월 성 1AC has 9 (20.9%) missing valuesMissing
월 성 2AC has 19 (44.2%) missing valuesMissing
월 성 3AC has 20 (46.5%) missing valuesMissing
월 성 4AC has 21 (48.8%) missing valuesMissing
S 1두중 has 34 (79.1%) missing valuesMissing
S 2두중 has 37 (86.0%) missing valuesMissing
한 빛 1WH has 8 (18.6%) missing valuesMissing
한 빛 2WH has 9 (20.9%) missing valuesMissing
한 빛 3CE has 17 (39.5%) missing valuesMissing
한 빛 4CE has 18 (41.9%) missing valuesMissing
한 빛 5두중 has 24 (55.8%) missing valuesMissing
한 빛 6두중 has 24 (55.8%) missing valuesMissing
한 울 1FR has 10 (23.3%) missing valuesMissing
한 울 2FR has 11 (25.6%) missing valuesMissing
한 울 3두중 has 20 (46.5%) missing valuesMissing
한 울 4두중 has 22 (51.2%) missing valuesMissing
한 울 5두중 has 26 (60.5%) missing valuesMissing
한 울 6두중 has 27 (62.8%) missing valuesMissing
년도 호기 has unique valuesUnique
고 리 2WH has 1 (2.3%) zerosZeros
월 성 1AC has 2 (4.7%) zerosZeros
한 빛 3CE has 1 (2.3%) zerosZeros
한 빛 4CE has 3 (7.0%) zerosZeros
한 울 4두중 has 1 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-12 04:23:32.938140
Analysis finished2023-12-12 04:23:33.205393
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도 호기
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1999
Minimum1978
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:33.287624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1978
5-th percentile1980.1
Q11988.5
median1999
Q32009.5
95-th percentile2017.9
Maximum2020
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.0062814101
Kurtosis-1.2
Mean1999
Median Absolute Deviation (MAD)11
Skewness0
Sum85957
Variance157.66667
MonotonicityStrictly increasing
2023-12-12T13:23:33.463020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1978 1
 
2.3%
1979 1
 
2.3%
2002 1
 
2.3%
2003 1
 
2.3%
2004 1
 
2.3%
2005 1
 
2.3%
2006 1
 
2.3%
2007 1
 
2.3%
2008 1
 
2.3%
2009 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1978 1
2.3%
1979 1
2.3%
1980 1
2.3%
1981 1
2.3%
1982 1
2.3%
1983 1
2.3%
1984 1
2.3%
1985 1
2.3%
1986 1
2.3%
1987 1
2.3%
ValueCountFrequency (%)
2020 1
2.3%
2019 1
2.3%
2018 1
2.3%
2017 1
2.3%
2016 1
2.3%
2015 1
2.3%
2014 1
2.3%
2013 1
2.3%
2012 1
2.3%
2011 1
2.3%

고 리 1WH
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)95.0%
Missing3
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean77.6925
Minimum45.8
Maximum99.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:33.645419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.8
5-th percentile49.72
Q166.45
median80.55
Q390.625
95-th percentile96.575
Maximum99.7
Range53.9
Interquartile range (IQR)24.175

Descriptive statistics

Standard deviation15.461373
Coefficient of variation (CV)0.19900727
Kurtosis-0.7518291
Mean77.6925
Median Absolute Deviation (MAD)12.2
Skewness-0.55475896
Sum3107.7
Variance239.05404
MonotonicityNot monotonic
2023-12-12T13:23:33.830994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
85.2 3
 
7.0%
99.7 1
 
2.3%
92.2 1
 
2.3%
92.3 1
 
2.3%
95.0 1
 
2.3%
85.4 1
 
2.3%
93.2 1
 
2.3%
94.8 1
 
2.3%
90.2 1
 
2.3%
91.9 1
 
2.3%
Other values (28) 28
65.1%
(Missing) 3
 
7.0%
ValueCountFrequency (%)
45.8 1
2.3%
46.3 1
2.3%
49.9 1
2.3%
51.0 1
2.3%
56.3 1
2.3%
56.5 1
2.3%
61.3 1
2.3%
63.6 1
2.3%
65.5 1
2.3%
66.3 1
2.3%
ValueCountFrequency (%)
99.7 1
2.3%
98.0 1
2.3%
96.5 1
2.3%
95.0 1
2.3%
94.8 1
2.3%
94.0 1
2.3%
93.2 1
2.3%
92.3 1
2.3%
92.2 1
2.3%
91.9 1
2.3%

고 리 2WH
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)97.4%
Missing4
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean82.533333
Minimum0
Maximum101.9
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:34.012652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46.78
Q180.05
median87.1
Q391.45
95-th percentile100.02
Maximum101.9
Range101.9
Interquartile range (IQR)11.4

Descriptive statistics

Standard deviation18.672317
Coefficient of variation (CV)0.22623971
Kurtosis10.155902
Mean82.533333
Median Absolute Deviation (MAD)6.2
Skewness-2.8602274
Sum3218.8
Variance348.65544
MonotonicityNot monotonic
2023-12-12T13:23:34.161039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
87.5 2
 
4.7%
90.2 1
 
2.3%
95.8 1
 
2.3%
91.4 1
 
2.3%
89.7 1
 
2.3%
88.3 1
 
2.3%
93.0 1
 
2.3%
90.3 1
 
2.3%
98.8 1
 
2.3%
84.5 1
 
2.3%
Other values (28) 28
65.1%
(Missing) 4
 
9.3%
ValueCountFrequency (%)
0.0 1
2.3%
36.7 1
2.3%
47.9 1
2.3%
66.9 1
2.3%
70.1 1
2.3%
73.7 1
2.3%
76.9 1
2.3%
78.1 1
2.3%
78.9 1
2.3%
79.7 1
2.3%
ValueCountFrequency (%)
101.9 1
2.3%
100.2 1
2.3%
100.0 1
2.3%
98.8 1
2.3%
95.8 1
2.3%
95.3 1
2.3%
94.4 1
2.3%
93.9 1
2.3%
93.0 1
2.3%
91.5 1
2.3%

고 리 3WH
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)94.4%
Missing7
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean84.213889
Minimum4.9
Maximum104.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:34.318418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile66.85
Q177.75
median87.45
Q394.7
95-th percentile100.375
Maximum104.8
Range99.9
Interquartile range (IQR)16.95

Descriptive statistics

Standard deviation16.989243
Coefficient of variation (CV)0.2017392
Kurtosis13.201352
Mean84.213889
Median Absolute Deviation (MAD)8.6
Skewness-2.9766119
Sum3031.7
Variance288.63437
MonotonicityNot monotonic
2023-12-12T13:23:34.467878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.7 2
 
4.7%
100.1 2
 
4.7%
104.8 1
 
2.3%
88.4 1
 
2.3%
96.4 1
 
2.3%
88.7 1
 
2.3%
89.3 1
 
2.3%
90.7 1
 
2.3%
78.1 1
 
2.3%
83.5 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 7
 
16.3%
ValueCountFrequency (%)
4.9 1
2.3%
63.4 1
2.3%
68.0 1
2.3%
71.7 1
2.3%
73.0 1
2.3%
74.2 1
2.3%
75.8 1
2.3%
76.1 1
2.3%
76.7 1
2.3%
78.1 1
2.3%
ValueCountFrequency (%)
104.8 1
2.3%
100.9 1
2.3%
100.2 1
2.3%
100.1 2
4.7%
99.1 1
2.3%
96.4 1
2.3%
96.1 1
2.3%
94.7 2
4.7%
91.6 1
2.3%
90.7 1
2.3%

고 리 4WH
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)94.3%
Missing8
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean85.922857
Minimum23.6
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:34.614408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.6
5-th percentile65.38
Q180.65
median88.8
Q393.9
95-th percentile105.02
Maximum106
Range82.4
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation15.39792
Coefficient of variation (CV)0.17920633
Kurtosis7.4555325
Mean85.922857
Median Absolute Deviation (MAD)6.3
Skewness-2.2331833
Sum3007.3
Variance237.09593
MonotonicityNot monotonic
2023-12-12T13:23:34.792208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
95.1 2
 
4.7%
87.8 2
 
4.7%
104.9 1
 
2.3%
88.0 1
 
2.3%
97.4 1
 
2.3%
91.8 1
 
2.3%
93.6 1
 
2.3%
92.9 1
 
2.3%
100.1 1
 
2.3%
75.5 1
 
2.3%
Other values (23) 23
53.5%
(Missing) 8
 
18.6%
ValueCountFrequency (%)
23.6 1
2.3%
51.1 1
2.3%
71.5 1
2.3%
73.7 1
2.3%
74.1 1
2.3%
75.5 1
2.3%
77.3 1
2.3%
78.1 1
2.3%
79.6 1
2.3%
81.7 1
2.3%
ValueCountFrequency (%)
106.0 1
2.3%
105.3 1
2.3%
104.9 1
2.3%
100.1 1
2.3%
97.4 1
2.3%
97.0 1
2.3%
95.1 2
4.7%
94.2 1
2.3%
93.6 1
2.3%
93.2 1
2.3%

신고리 1두중
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing33
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean73.05
Minimum5.8
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:34.961570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile15.16
Q176.35
median83
Q389.525
95-th percentile99.82
Maximum100
Range94.2
Interquartile range (IQR)13.175

Descriptive statistics

Standard deviation31.378275
Coefficient of variation (CV)0.42954517
Kurtosis1.578612
Mean73.05
Median Absolute Deviation (MAD)7.85
Skewness-1.5991689
Sum730.5
Variance984.59611
MonotonicityNot monotonic
2023-12-12T13:23:35.085078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
100.0 1
 
2.3%
81.2 1
 
2.3%
26.6 1
 
2.3%
84.8 1
 
2.3%
86.3 1
 
2.3%
99.6 1
 
2.3%
5.8 1
 
2.3%
80.7 1
 
2.3%
74.9 1
 
2.3%
90.6 1
 
2.3%
(Missing) 33
76.7%
ValueCountFrequency (%)
5.8 1
2.3%
26.6 1
2.3%
74.9 1
2.3%
80.7 1
2.3%
81.2 1
2.3%
84.8 1
2.3%
86.3 1
2.3%
90.6 1
2.3%
99.6 1
2.3%
100.0 1
2.3%
ValueCountFrequency (%)
100.0 1
2.3%
99.6 1
2.3%
90.6 1
2.3%
86.3 1
2.3%
84.8 1
2.3%
81.2 1
2.3%
80.7 1
2.3%
74.9 1
2.3%
26.6 1
2.3%
5.8 1
2.3%

신고리 2두중
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing34
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean82.9
Minimum40.8
Maximum100.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:35.202602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.8
5-th percentile54.84
Q179
median84.9
Q395.1
95-th percentile99.46
Maximum100.1
Range59.3
Interquartile range (IQR)16.1

Descriptive statistics

Standard deviation18.135462
Coefficient of variation (CV)0.21876312
Kurtosis3.6527798
Mean82.9
Median Absolute Deviation (MAD)9
Skewness-1.7109041
Sum746.1
Variance328.895
MonotonicityNot monotonic
2023-12-12T13:23:35.363837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
98.5 1
 
2.3%
40.8 1
 
2.3%
95.1 1
 
2.3%
84.9 1
 
2.3%
75.9 1
 
2.3%
100.1 1
 
2.3%
79.0 1
 
2.3%
79.4 1
 
2.3%
92.4 1
 
2.3%
(Missing) 34
79.1%
ValueCountFrequency (%)
40.8 1
2.3%
75.9 1
2.3%
79.0 1
2.3%
79.4 1
2.3%
84.9 1
2.3%
92.4 1
2.3%
95.1 1
2.3%
98.5 1
2.3%
100.1 1
2.3%
ValueCountFrequency (%)
100.1 1
2.3%
98.5 1
2.3%
95.1 1
2.3%
92.4 1
2.3%
84.9 1
2.3%
79.4 1
2.3%
79.0 1
2.3%
75.9 1
2.3%
40.8 1
2.3%

신고리 3두중
Categorical

IMBALANCE 

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
38 
102.4
 
1
102.0
 
1
48.7
 
1
88.4
 
1

Length

Max length5
Median length4
Mean length4.0465116
Min length4

Unique

Unique5 ?
Unique (%)11.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
88.4%
102.4 1
 
2.3%
102.0 1
 
2.3%
48.7 1
 
2.3%
88.4 1
 
2.3%
68.7 1
 
2.3%

Length

2023-12-12T13:23:35.533526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:23:35.706342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
88.4%
102.4 1
 
2.3%
102.0 1
 
2.3%
48.7 1
 
2.3%
88.4 1
 
2.3%
68.7 1
 
2.3%

신고리 4두중
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
41 
102.7
 
1
78.5
 
1

Length

Max length5
Median length4
Mean length4.0232558
Min length4

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 41
95.3%
102.7 1
 
2.3%
78.5 1
 
2.3%

Length

2023-12-12T13:23:35.866853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:23:36.017931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
95.3%
102.7 1
 
2.3%
78.5 1
 
2.3%

월 성 1AC
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)94.1%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean75.844118
Minimum0
Maximum102.1
Zeros2
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:36.188118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.145
Q177.9
median82.95
Q391.075
95-th percentile99.415
Maximum102.1
Range102.1
Interquartile range (IQR)13.175

Descriptive statistics

Standard deviation25.807671
Coefficient of variation (CV)0.34027254
Kurtosis3.1000476
Mean75.844118
Median Absolute Deviation (MAD)8.1
Skewness-1.8777079
Sum2578.7
Variance666.03587
MonotonicityNot monotonic
2023-12-12T13:23:36.368617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
81.0 2
 
4.7%
0.0 2
 
4.7%
89.8 1
 
2.3%
99.1 1
 
2.3%
89.5 1
 
2.3%
90.3 1
 
2.3%
77.7 1
 
2.3%
91.4 1
 
2.3%
93.0 1
 
2.3%
80.9 1
 
2.3%
Other values (22) 22
51.2%
(Missing) 9
20.9%
ValueCountFrequency (%)
0.0 2
4.7%
23.3 1
2.3%
40.6 1
2.3%
49.3 1
2.3%
53.3 1
2.3%
61.9 1
2.3%
66.8 1
2.3%
77.7 1
2.3%
78.5 1
2.3%
79.4 1
2.3%
ValueCountFrequency (%)
102.1 1
2.3%
100.0 1
2.3%
99.1 1
2.3%
95.8 1
2.3%
94.4 1
2.3%
93.0 1
2.3%
92.9 1
2.3%
91.4 1
2.3%
91.1 1
2.3%
91.0 1
2.3%

월 성 2AC
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing19
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean91.220833
Minimum74.4
Maximum99.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:36.522197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.4
5-th percentile76.16
Q190.75
median92.45
Q395
95-th percentile99.375
Maximum99.7
Range25.3
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation6.7649981
Coefficient of variation (CV)0.07416067
Kurtosis1.3395986
Mean91.220833
Median Absolute Deviation (MAD)2.4
Skewness-1.273335
Sum2189.3
Variance45.765199
MonotonicityNot monotonic
2023-12-12T13:23:36.657868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
91.6 2
 
4.7%
93.7 1
 
2.3%
74.9 1
 
2.3%
83.3 1
 
2.3%
90.6 1
 
2.3%
74.4 1
 
2.3%
92.9 1
 
2.3%
91.3 1
 
2.3%
83.7 1
 
2.3%
94.4 1
 
2.3%
Other values (13) 13
30.2%
(Missing) 19
44.2%
ValueCountFrequency (%)
74.4 1
2.3%
74.9 1
2.3%
83.3 1
2.3%
83.6 1
2.3%
83.7 1
2.3%
90.6 1
2.3%
90.8 1
2.3%
90.9 1
2.3%
91.3 1
2.3%
91.6 2
4.7%
ValueCountFrequency (%)
99.7 1
2.3%
99.6 1
2.3%
98.1 1
2.3%
97.2 1
2.3%
97.1 1
2.3%
95.3 1
2.3%
94.9 1
2.3%
94.8 1
2.3%
94.4 1
2.3%
93.7 1
2.3%

월 성 3AC
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing20
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean86.908696
Minimum32.8
Maximum104.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:36.799935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.8
5-th percentile60.01
Q183.8
median94
Q396.75
95-th percentile102.55
Maximum104.5
Range71.7
Interquartile range (IQR)12.95

Descriptive statistics

Standard deviation16.771185
Coefficient of variation (CV)0.19297476
Kurtosis3.9148056
Mean86.908696
Median Absolute Deviation (MAD)3.5
Skewness-1.8941531
Sum1998.9
Variance281.27265
MonotonicityNot monotonic
2023-12-12T13:23:36.955835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
82.0 1
 
2.3%
63.7 1
 
2.3%
59.6 1
 
2.3%
73.6 1
 
2.3%
32.8 1
 
2.3%
70.9 1
 
2.3%
94.7 1
 
2.3%
85.6 1
 
2.3%
92.6 1
 
2.3%
90.7 1
 
2.3%
Other values (13) 13
30.2%
(Missing) 20
46.5%
ValueCountFrequency (%)
32.8 1
2.3%
59.6 1
2.3%
63.7 1
2.3%
70.9 1
2.3%
73.6 1
2.3%
82.0 1
2.3%
85.6 1
2.3%
86.0 1
2.3%
90.7 1
2.3%
92.6 1
2.3%
ValueCountFrequency (%)
104.5 1
2.3%
103.0 1
2.3%
98.5 1
2.3%
97.5 1
2.3%
97.3 1
2.3%
97.1 1
2.3%
96.4 1
2.3%
95.8 1
2.3%
95.3 1
2.3%
94.7 1
2.3%

월 성 4AC
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing21
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean92.463636
Minimum75.8
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:37.152408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.8
5-th percentile79.015
Q188.325
median94.3
Q398
95-th percentile100.39
Maximum103
Range27.2
Interquartile range (IQR)9.675

Descriptive statistics

Standard deviation7.2964796
Coefficient of variation (CV)0.078911883
Kurtosis-0.013726227
Mean92.463636
Median Absolute Deviation (MAD)4.1
Skewness-0.8396188
Sum2034.2
Variance53.238615
MonotonicityNot monotonic
2023-12-12T13:23:37.299894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
94.3 2
 
4.7%
95.5 1
 
2.3%
94.7 1
 
2.3%
78.8 1
 
2.3%
83.4 1
 
2.3%
83.1 1
 
2.3%
99.3 1
 
2.3%
75.8 1
 
2.3%
87.7 1
 
2.3%
85.1 1
 
2.3%
Other values (11) 11
25.6%
(Missing) 21
48.8%
ValueCountFrequency (%)
75.8 1
2.3%
78.8 1
2.3%
83.1 1
2.3%
83.4 1
2.3%
85.1 1
2.3%
87.7 1
2.3%
90.2 1
2.3%
92.5 1
2.3%
93.2 1
2.3%
94.2 1
2.3%
ValueCountFrequency (%)
103.0 1
2.3%
100.4 1
2.3%
100.2 1
2.3%
99.3 1
2.3%
98.4 1
2.3%
98.2 1
2.3%
97.4 1
2.3%
95.5 1
2.3%
94.7 1
2.3%
94.5 1
2.3%

S 1두중
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing34
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean83.677778
Minimum38.1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:37.435241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.1
5-th percentile51.42
Q180.4
median85
Q398.5
95-th percentile99.72
Maximum100
Range61.9
Interquartile range (IQR)18.1

Descriptive statistics

Standard deviation19.736754
Coefficient of variation (CV)0.23586613
Kurtosis3.4389129
Mean83.677778
Median Absolute Deviation (MAD)13.5
Skewness-1.7435465
Sum753.1
Variance389.53944
MonotonicityNot monotonic
2023-12-12T13:23:37.603328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
95.7 1
 
2.3%
38.1 1
 
2.3%
99.3 1
 
2.3%
71.4 1
 
2.3%
84.7 1
 
2.3%
98.5 1
 
2.3%
80.4 1
 
2.3%
85.0 1
 
2.3%
100.0 1
 
2.3%
(Missing) 34
79.1%
ValueCountFrequency (%)
38.1 1
2.3%
71.4 1
2.3%
80.4 1
2.3%
84.7 1
2.3%
85.0 1
2.3%
95.7 1
2.3%
98.5 1
2.3%
99.3 1
2.3%
100.0 1
2.3%
ValueCountFrequency (%)
100.0 1
2.3%
99.3 1
2.3%
98.5 1
2.3%
95.7 1
2.3%
85.0 1
2.3%
84.7 1
2.3%
80.4 1
2.3%
71.4 1
2.3%
38.1 1
2.3%

S 2두중
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing37
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean84.533333
Minimum71.7
Maximum100.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:37.785765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.7
5-th percentile72.575
Q175.7
median80.05
Q395.65
95-th percentile100.2
Maximum100.3
Range28.6
Interquartile range (IQR)19.95

Descriptive statistics

Standard deviation12.593437
Coefficient of variation (CV)0.148976
Kurtosis-1.9316224
Mean84.533333
Median Absolute Deviation (MAD)6.6
Skewness0.63426995
Sum507.2
Variance158.59467
MonotonicityNot monotonic
2023-12-12T13:23:37.924542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
100.3 1
 
2.3%
82.9 1
 
2.3%
71.7 1
 
2.3%
77.2 1
 
2.3%
75.2 1
 
2.3%
99.9 1
 
2.3%
(Missing) 37
86.0%
ValueCountFrequency (%)
71.7 1
2.3%
75.2 1
2.3%
77.2 1
2.3%
82.9 1
2.3%
99.9 1
2.3%
100.3 1
2.3%
ValueCountFrequency (%)
100.3 1
2.3%
99.9 1
2.3%
82.9 1
2.3%
77.2 1
2.3%
75.2 1
2.3%
71.7 1
2.3%

한 빛 1WH
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)91.4%
Missing8
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean86.122857
Minimum16.6
Maximum104.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:38.130656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.6
5-th percentile70.03
Q181.65
median88.2
Q393.2
95-th percentile103.83
Maximum104.4
Range87.8
Interquartile range (IQR)11.55

Descriptive statistics

Standard deviation15.741666
Coefficient of variation (CV)0.18278151
Kurtosis10.625562
Mean86.122857
Median Absolute Deviation (MAD)5.9
Skewness-2.5686917
Sum3014.3
Variance247.80005
MonotonicityNot monotonic
2023-12-12T13:23:38.305633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
77.6 2
 
4.7%
92.9 2
 
4.7%
84.5 2
 
4.7%
103.5 1
 
2.3%
101.0 1
 
2.3%
89.0 1
 
2.3%
93.5 1
 
2.3%
101.1 1
 
2.3%
82.4 1
 
2.3%
82.3 1
 
2.3%
Other values (22) 22
51.2%
(Missing) 8
 
18.6%
ValueCountFrequency (%)
16.6 1
2.3%
62.4 1
2.3%
73.3 1
2.3%
73.4 1
2.3%
75.2 1
2.3%
77.6 2
4.7%
78.6 1
2.3%
81.0 1
2.3%
82.3 1
2.3%
82.4 1
2.3%
ValueCountFrequency (%)
104.4 1
2.3%
103.9 1
2.3%
103.8 1
2.3%
103.5 1
2.3%
101.1 1
2.3%
101.0 1
2.3%
100.0 1
2.3%
99.5 1
2.3%
93.5 1
2.3%
92.9 2
4.7%

한 빛 2WH
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)94.1%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean84.338235
Minimum34.1
Maximum102.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:38.486719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.1
5-th percentile65.335
Q177.275
median86.8
Q391.875
95-th percentile101.44
Maximum102.5
Range68.4
Interquartile range (IQR)14.6

Descriptive statistics

Standard deviation13.474645
Coefficient of variation (CV)0.15976912
Kurtosis5.2007511
Mean84.338235
Median Absolute Deviation (MAD)7.2
Skewness-1.7914949
Sum2867.5
Variance181.56607
MonotonicityNot monotonic
2023-12-12T13:23:38.655825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
89.4 2
 
4.7%
77.1 2
 
4.7%
86.7 1
 
2.3%
53.7 1
 
2.3%
34.1 1
 
2.3%
92.1 1
 
2.3%
76.3 1
 
2.3%
99.6 1
 
2.3%
77.8 1
 
2.3%
75.1 1
 
2.3%
Other values (22) 22
51.2%
(Missing) 9
20.9%
ValueCountFrequency (%)
34.1 1
2.3%
53.7 1
2.3%
71.6 1
2.3%
74.9 1
2.3%
75.1 1
2.3%
75.5 1
2.3%
76.3 1
2.3%
77.1 2
4.7%
77.8 1
2.3%
78.6 1
2.3%
ValueCountFrequency (%)
102.5 1
2.3%
101.7 1
2.3%
101.3 1
2.3%
99.6 1
2.3%
95.9 1
2.3%
95.6 1
2.3%
92.8 1
2.3%
92.1 1
2.3%
92.0 1
2.3%
91.5 1
2.3%

한 빛 3CE
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)96.2%
Missing17
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean79.265385
Minimum0
Maximum104.1
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:38.799018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.725
Q179.05
median89.05
Q392.025
95-th percentile102.9
Maximum104.1
Range104.1
Interquartile range (IQR)12.975

Descriptive statistics

Standard deviation26.984113
Coefficient of variation (CV)0.34042745
Kurtosis3.2697002
Mean79.265385
Median Absolute Deviation (MAD)9.1
Skewness-1.9378465
Sum2060.9
Variance728.14235
MonotonicityNot monotonic
2023-12-12T13:23:38.946325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
91.8 2
 
4.7%
100.8 1
 
2.3%
9.1 1
 
2.3%
0.0 1
 
2.3%
35.6 1
 
2.3%
99.8 1
 
2.3%
79.8 1
 
2.3%
57.6 1
 
2.3%
78.8 1
 
2.3%
54.1 1
 
2.3%
Other values (15) 15
34.9%
(Missing) 17
39.5%
ValueCountFrequency (%)
0.0 1
2.3%
9.1 1
2.3%
35.6 1
2.3%
54.1 1
2.3%
57.6 1
2.3%
76.6 1
2.3%
78.8 1
2.3%
79.8 1
2.3%
80.1 1
2.3%
87.0 1
2.3%
ValueCountFrequency (%)
104.1 1
2.3%
103.6 1
2.3%
100.8 1
2.3%
100.0 1
2.3%
99.8 1
2.3%
93.9 1
2.3%
92.1 1
2.3%
91.8 2
4.7%
91.6 1
2.3%
90.3 1
2.3%

한 빛 4CE
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)92.0%
Missing18
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean77.164
Minimum0
Maximum102.9
Zeros3
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:39.096535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181.7
median88.6
Q392.1
95-th percentile101.14
Maximum102.9
Range102.9
Interquartile range (IQR)10.4

Descriptive statistics

Standard deviation31.989163
Coefficient of variation (CV)0.41456072
Kurtosis2.2516102
Mean77.164
Median Absolute Deviation (MAD)4.7
Skewness-1.8660101
Sum1929.1
Variance1023.3066
MonotonicityNot monotonic
2023-12-12T13:23:39.258213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 3
 
7.0%
81.7 1
 
2.3%
37.5 1
 
2.3%
99.6 1
 
2.3%
62.9 1
 
2.3%
77.9 1
 
2.3%
86.6 1
 
2.3%
88.8 1
 
2.3%
91.2 1
 
2.3%
100.9 1
 
2.3%
Other values (13) 13
30.2%
(Missing) 18
41.9%
ValueCountFrequency (%)
0.0 3
7.0%
37.5 1
 
2.3%
62.9 1
 
2.3%
77.9 1
 
2.3%
81.7 1
 
2.3%
86.5 1
 
2.3%
86.6 1
 
2.3%
87.1 1
 
2.3%
87.3 1
 
2.3%
88.1 1
 
2.3%
ValueCountFrequency (%)
102.9 1
2.3%
101.2 1
2.3%
100.9 1
2.3%
99.9 1
2.3%
99.6 1
2.3%
93.3 1
2.3%
92.1 1
2.3%
91.8 1
2.3%
91.7 1
2.3%
91.5 1
2.3%

한 빛 5두중
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing24
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean85.410526
Minimum31
Maximum103.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:39.423812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile63.31
Q179.95
median90.1
Q396.2
95-th percentile99.88
Maximum103.3
Range72.3
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation16.652524
Coefficient of variation (CV)0.19497039
Kurtosis5.6933324
Mean85.410526
Median Absolute Deviation (MAD)9.1
Skewness-2.0538609
Sum1622.8
Variance277.30655
MonotonicityNot monotonic
2023-12-12T13:23:39.613717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
99.5 2
 
4.7%
72.1 1
 
2.3%
31.0 1
 
2.3%
83.7 1
 
2.3%
76.6 1
 
2.3%
99.2 1
 
2.3%
80.4 1
 
2.3%
79.5 1
 
2.3%
94.1 1
 
2.3%
103.3 1
 
2.3%
Other values (8) 8
 
18.6%
(Missing) 24
55.8%
ValueCountFrequency (%)
31.0 1
2.3%
66.9 1
2.3%
72.1 1
2.3%
76.6 1
2.3%
79.5 1
2.3%
80.4 1
2.3%
81.1 1
2.3%
83.7 1
2.3%
88.9 1
2.3%
90.1 1
2.3%
ValueCountFrequency (%)
103.3 1
2.3%
99.5 2
4.7%
99.2 1
2.3%
97.8 1
2.3%
94.6 1
2.3%
94.1 1
2.3%
93.6 1
2.3%
90.9 1
2.3%
90.1 1
2.3%
88.9 1
2.3%

한 빛 6두중
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing24
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean88.663158
Minimum52.7
Maximum105.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:39.801496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.7
5-th percentile71.42
Q184.95
median91.7
Q393.6
95-th percentile100.8
Maximum105.3
Range52.6
Interquartile range (IQR)8.65

Descriptive statistics

Standard deviation11.668248
Coefficient of variation (CV)0.13160199
Kurtosis4.2243804
Mean88.663158
Median Absolute Deviation (MAD)4.9
Skewness-1.7188772
Sum1684.6
Variance136.14801
MonotonicityNot monotonic
2023-12-12T13:23:40.269464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
92.5 1
 
2.3%
100.3 1
 
2.3%
73.5 1
 
2.3%
91.5 1
 
2.3%
52.7 1
 
2.3%
86.8 1
 
2.3%
92.1 1
 
2.3%
81.8 1
 
2.3%
98.1 1
 
2.3%
105.3 1
 
2.3%
Other values (9) 9
 
20.9%
(Missing) 24
55.8%
ValueCountFrequency (%)
52.7 1
2.3%
73.5 1
2.3%
76.6 1
2.3%
81.8 1
2.3%
83.1 1
2.3%
86.8 1
2.3%
90.6 1
2.3%
91.0 1
2.3%
91.5 1
2.3%
91.7 1
2.3%
ValueCountFrequency (%)
105.3 1
2.3%
100.3 1
2.3%
98.1 1
2.3%
98.0 1
2.3%
94.0 1
2.3%
93.2 1
2.3%
92.5 1
2.3%
92.1 1
2.3%
91.8 1
2.3%
91.7 1
2.3%

한 울 1FR
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)90.9%
Missing10
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean85.133333
Minimum40.8
Maximum103.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:40.416669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.8
5-th percentile65.62
Q181.2
median87.7
Q390.4
95-th percentile99.22
Maximum103.8
Range63
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation11.687832
Coefficient of variation (CV)0.13728855
Kurtosis5.6602309
Mean85.133333
Median Absolute Deviation (MAD)4
Skewness-1.895938
Sum2809.4
Variance136.60542
MonotonicityNot monotonic
2023-12-12T13:23:40.588733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
88.1 3
 
7.0%
87.6 2
 
4.7%
87.7 1
 
2.3%
78.9 1
 
2.3%
83.7 1
 
2.3%
65.9 1
 
2.3%
75.3 1
 
2.3%
81.2 1
 
2.3%
91.9 1
 
2.3%
85.8 1
 
2.3%
Other values (20) 20
46.5%
(Missing) 10
23.3%
ValueCountFrequency (%)
40.8 1
2.3%
65.2 1
2.3%
65.9 1
2.3%
71.3 1
2.3%
75.3 1
2.3%
78.5 1
2.3%
78.9 1
2.3%
80.1 1
2.3%
81.2 1
2.3%
83.7 1
2.3%
ValueCountFrequency (%)
103.8 1
2.3%
99.7 1
2.3%
98.9 1
2.3%
96.0 1
2.3%
93.1 1
2.3%
91.9 1
2.3%
91.7 1
2.3%
90.9 1
2.3%
90.4 1
2.3%
90.3 1
2.3%

한 울 2FR
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)90.6%
Missing11
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean87.025
Minimum45.8
Maximum100.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:40.770653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.8
5-th percentile65.44
Q184.5
median88.9
Q391.9
95-th percentile99.105
Maximum100.5
Range54.7
Interquartile range (IQR)7.4

Descriptive statistics

Standard deviation11.303582
Coefficient of variation (CV)0.12988891
Kurtosis5.4971087
Mean87.025
Median Absolute Deviation (MAD)4.1
Skewness-2.0465564
Sum2784.8
Variance127.77097
MonotonicityNot monotonic
2023-12-12T13:23:40.957880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
88.9 2
 
4.7%
90.9 2
 
4.7%
88.2 2
 
4.7%
96.0 1
 
2.3%
78.3 1
 
2.3%
59.5 1
 
2.3%
89.0 1
 
2.3%
86.6 1
 
2.3%
99.6 1
 
2.3%
84.6 1
 
2.3%
Other values (19) 19
44.2%
(Missing) 11
25.6%
ValueCountFrequency (%)
45.8 1
2.3%
59.5 1
2.3%
70.3 1
2.3%
78.3 1
2.3%
80.0 1
2.3%
82.0 1
2.3%
83.0 1
2.3%
84.2 1
2.3%
84.6 1
2.3%
85.2 1
2.3%
ValueCountFrequency (%)
100.5 1
2.3%
99.6 1
2.3%
98.7 1
2.3%
98.2 1
2.3%
97.9 1
2.3%
96.6 1
2.3%
96.0 1
2.3%
92.8 1
2.3%
91.6 1
2.3%
91.5 1
2.3%

한 울 3두중
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing20
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean87.821739
Minimum41.4
Maximum104.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:41.124192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.4
5-th percentile54.18
Q186.8
median92.4
Q398.35
95-th percentile103.36
Maximum104.4
Range63
Interquartile range (IQR)11.55

Descriptive statistics

Standard deviation16.169977
Coefficient of variation (CV)0.18412271
Kurtosis2.4140882
Mean87.821739
Median Absolute Deviation (MAD)7.5
Skewness-1.6694346
Sum2019.9
Variance261.46814
MonotonicityNot monotonic
2023-12-12T13:23:41.286624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
100.3 2
 
4.7%
76.0 1
 
2.3%
67.5 1
 
2.3%
92.4 1
 
2.3%
52.7 1
 
2.3%
99.9 1
 
2.3%
41.4 1
 
2.3%
100.0 1
 
2.3%
69.3 1
 
2.3%
90.4 1
 
2.3%
Other values (12) 12
27.9%
(Missing) 20
46.5%
ValueCountFrequency (%)
41.4 1
2.3%
52.7 1
2.3%
67.5 1
2.3%
69.3 1
2.3%
76.0 1
2.3%
83.5 1
2.3%
90.1 1
2.3%
90.4 1
2.3%
90.8 1
2.3%
92.0 1
2.3%
ValueCountFrequency (%)
104.4 1
2.3%
103.7 1
2.3%
100.3 2
4.7%
100.0 1
2.3%
99.9 1
2.3%
96.8 1
2.3%
94.9 1
2.3%
94.8 1
2.3%
93.5 1
2.3%
93.0 1
2.3%

한 울 4두중
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)100.0%
Missing22
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean82.352381
Minimum0
Maximum103.3
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:41.497481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37.8
Q183.7
median91.2
Q395.4
95-th percentile100.6
Maximum103.3
Range103.3
Interquartile range (IQR)11.7

Descriptive statistics

Standard deviation24.119963
Coefficient of variation (CV)0.29288726
Kurtosis6.6104485
Mean82.352381
Median Absolute Deviation (MAD)5.6
Skewness-2.4686081
Sum1729.4
Variance581.77262
MonotonicityNot monotonic
2023-12-12T13:23:41.665454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
93.1 1
 
2.3%
85.6 1
 
2.3%
95.5 1
 
2.3%
76.8 1
 
2.3%
93.8 1
 
2.3%
60.7 1
 
2.3%
83.7 1
 
2.3%
98.1 1
 
2.3%
37.8 1
 
2.3%
0.0 1
 
2.3%
Other values (11) 11
25.6%
(Missing) 22
51.2%
ValueCountFrequency (%)
0.0 1
2.3%
37.8 1
2.3%
60.7 1
2.3%
69.4 1
2.3%
76.8 1
2.3%
83.7 1
2.3%
84.7 1
2.3%
85.6 1
2.3%
88.1 1
2.3%
90.7 1
2.3%
ValueCountFrequency (%)
103.3 1
2.3%
100.6 1
2.3%
98.1 1
2.3%
96.1 1
2.3%
95.5 1
2.3%
95.4 1
2.3%
93.8 1
2.3%
93.4 1
2.3%
93.1 1
2.3%
91.4 1
2.3%

한 울 5두중
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing26
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean89.988235
Minimum74.3
Maximum102.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:41.855971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.3
5-th percentile75.9
Q184.2
median91
Q399.4
95-th percentile100.88
Maximum102.8
Range28.5
Interquartile range (IQR)15.2

Descriptive statistics

Standard deviation9.1070634
Coefficient of variation (CV)0.10120282
Kurtosis-1.0700428
Mean89.988235
Median Absolute Deviation (MAD)8.4
Skewness-0.28107868
Sum1529.8
Variance82.938603
MonotonicityNot monotonic
2023-12-12T13:23:41.998433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
100.3 2
 
4.7%
85.5 1
 
2.3%
74.3 1
 
2.3%
79.8 1
 
2.3%
76.3 1
 
2.3%
78.4 1
 
2.3%
99.4 1
 
2.3%
84.2 1
 
2.3%
102.8 1
 
2.3%
88.3 1
 
2.3%
Other values (6) 6
 
14.0%
(Missing) 26
60.5%
ValueCountFrequency (%)
74.3 1
2.3%
76.3 1
2.3%
78.4 1
2.3%
79.8 1
2.3%
84.2 1
2.3%
85.5 1
2.3%
88.3 1
2.3%
90.6 1
2.3%
91.0 1
2.3%
92.2 1
2.3%
ValueCountFrequency (%)
102.8 1
2.3%
100.4 1
2.3%
100.3 2
4.7%
99.4 1
2.3%
93.6 1
2.3%
92.4 1
2.3%
92.2 1
2.3%
91.0 1
2.3%
90.6 1
2.3%
88.3 1
2.3%

한 울 6두중
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing27
Missing (%)62.8%
Infinite0
Infinite (%)0.0%
Mean88.9625
Minimum74.2
Maximum103.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:23:42.129492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.2
5-th percentile74.875
Q182.7
median89.85
Q394.625
95-th percentile101.075
Maximum103.7
Range29.5
Interquartile range (IQR)11.925

Descriptive statistics

Standard deviation9.3839491
Coefficient of variation (CV)0.10548207
Kurtosis-1.0334408
Mean88.9625
Median Absolute Deviation (MAD)7.8
Skewness-0.13651909
Sum1423.4
Variance88.0585
MonotonicityNot monotonic
2023-12-12T13:23:42.286108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
92.9 2
 
4.7%
103.7 1
 
2.3%
85.2 1
 
2.3%
91.0 1
 
2.3%
99.9 1
 
2.3%
91.8 1
 
2.3%
88.2 1
 
2.3%
99.8 1
 
2.3%
88.7 1
 
2.3%
74.2 1
 
2.3%
Other values (5) 5
 
11.6%
(Missing) 27
62.8%
ValueCountFrequency (%)
74.2 1
2.3%
75.1 1
2.3%
77.4 1
2.3%
78.2 1
2.3%
84.2 1
2.3%
85.2 1
2.3%
88.2 1
2.3%
88.7 1
2.3%
91.0 1
2.3%
91.8 1
2.3%
ValueCountFrequency (%)
103.7 1
2.3%
100.2 1
2.3%
99.9 1
2.3%
99.8 1
2.3%
92.9 2
4.7%
91.8 1
2.3%
91.0 1
2.3%
88.7 1
2.3%
88.2 1
2.3%
85.2 1
2.3%

Sample

년도 호기고 리 1WH고 리 2WH고 리 3WH고 리 4WH신고리 1두중신고리 2두중신고리 3두중신고리 4두중월 성 1AC월 성 2AC월 성 3AC월 성 4ACS 1두중S 2두중한 빛 1WH한 빛 2WH한 빛 3CE한 빛 4CE한 빛 5두중한 빛 6두중한 울 1FR한 울 2FR한 울 3두중한 울 4두중한 울 5두중한 울 6두중
0197846.30.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1197961.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2198067.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3198156.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4198273.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5198363.680.4<NA><NA><NA><NA><NA><NA>61.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6198466.376.9<NA><NA><NA><NA><NA><NA>66.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7198565.570.189.7<NA><NA><NA><NA><NA>94.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8198667.973.771.794.2<NA><NA><NA><NA>79.7<NA><NA><NA><NA><NA>88.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9198794.079.773.073.7<NA><NA><NA><NA>92.9<NA><NA><NA><NA><NA>75.295.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
년도 호기고 리 1WH고 리 2WH고 리 3WH고 리 4WH신고리 1두중신고리 2두중신고리 3두중신고리 4두중월 성 1AC월 성 2AC월 성 3AC월 성 4ACS 1두중S 2두중한 빛 1WH한 빛 2WH한 빛 3CE한 빛 4CE한 빛 5두중한 빛 6두중한 울 1FR한 울 2FR한 울 3두중한 울 4두중한 울 5두중한 울 6두중
33201187.998.890.792.9100.0<NA><NA><NA>49.399.697.594.3<NA><NA>101.192.091.691.294.693.299.780.090.469.492.492.9
34201251.084.578.1100.181.298.5<NA><NA>81.094.490.7100.295.7<NA>92.9101.780.188.872.183.180.198.769.30.0100.488.2
35201349.980.9100.175.526.640.8<NA><NA><NA>83.792.690.238.1<NA>82.475.154.186.694.198.185.888.2100.037.885.599.8
36201485.291.583.586.384.895.1<NA><NA><NA>91.385.685.199.3<NA>103.577.878.877.979.581.891.984.641.498.184.288.7
37201582.578.980.997.086.384.9<NA><NA>95.892.994.787.771.4100.382.392.157.662.980.492.188.199.699.983.799.474.2
38201689.566.9100.287.899.675.9102.4<NA>53.374.470.975.884.782.973.434.179.899.699.286.881.286.652.760.778.4100.2
39201799.7100.24.923.65.8100.1102.0<NA>40.690.632.899.398.571.773.377.199.837.576.652.775.389.092.493.876.378.2
402018<NA>47.963.471.580.779.048.7<NA>0.083.373.683.180.477.262.453.735.60.083.791.565.959.567.576.879.884.2
412019<NA>100.068.051.174.979.488.4102.7<NA>91.659.683.485.075.216.686.70.00.099.573.583.778.376.095.574.377.4
422020<NA>36.778.981.790.692.468.778.5<NA>74.963.778.8100.099.999.576.39.10.031.0100.378.988.9100.385.6100.375.1