Overview

Dataset statistics

Number of variables98
Number of observations124
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.8 KiB
Average record size in memory882.1 B

Variable types

Numeric97
Text1

Dataset

Description부품소재 생산통계 생산통계(자체조사결과)와 통계청의 생산자물가 지수를 활용하여 부품소재 생산지수를 산출하는 가공통계 중 출하 - 소재부품을 16개 분야로 나누어 코드화 - 16개 분야의 코드명 - 출하량을 지수로 표기(100이 기준수치_16대코드, 코드명,소재부품생산지수 등)
URLhttps://www.data.go.kr/data/15099630/fileData.do

Alerts

품목코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:04:44.469772
Analysis finished2023-12-12 01:04:45.426207
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품목코드
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21617.984
Minimum0
Maximum35020
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:45.508914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11047.5
Q115007.5
median22125
Q326032.5
95-th percentile33008.5
Maximum35020
Range35020
Interquartile range (IQR)11025

Descriptive statistics

Standard deviation7131.4786
Coefficient of variation (CV)0.32988639
Kurtosis-0.50608226
Mean21617.984
Median Absolute Deviation (MAD)4940
Skewness-0.19394102
Sum2680630
Variance50857987
MonotonicityStrictly increasing
2023-12-12T10:04:45.679825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.8%
25020 1
 
0.8%
26030 1
 
0.8%
26020 1
 
0.8%
26010 1
 
0.8%
26000 1
 
0.8%
25110 1
 
0.8%
25100 1
 
0.8%
25090 1
 
0.8%
25080 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
0 1
0.8%
10000 1
0.8%
11000 1
0.8%
11010 1
0.8%
11020 1
0.8%
11030 1
0.8%
11040 1
0.8%
11090 1
0.8%
12000 1
0.8%
12010 1
0.8%
ValueCountFrequency (%)
35020 1
0.8%
35010 1
0.8%
35000 1
0.8%
34020 1
0.8%
34010 1
0.8%
34000 1
0.8%
33010 1
0.8%
33000 1
0.8%
32040 1
0.8%
32030 1
0.8%
Distinct123
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T10:04:46.049384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length9.6129032
Min length2

Characters and Unicode

Total characters1192
Distinct characters186
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)98.4%

Sample

1st row소재부품장비
2nd row소재
3rd row섬유제품
4th row제사 및 방적
5th row직물직조
ValueCountFrequency (%)
48
 
15.4%
기타 20
 
6.4%
부품 9
 
2.9%
산업용 4
 
1.3%
장비 4
 
1.3%
기계 4
 
1.3%
비철금속 3
 
1.0%
전자부품 3
 
1.0%
1차 2
 
0.6%
자동차 2
 
0.6%
Other values (194) 212
68.2%
2023-12-12T10:04:46.612633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
15.9%
91
 
7.6%
49
 
4.1%
48
 
4.0%
32
 
2.7%
30
 
2.5%
30
 
2.5%
28
 
2.3%
23
 
1.9%
22
 
1.8%
Other values (176) 649
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 982
82.4%
Space Separator 190
 
15.9%
Other Punctuation 18
 
1.5%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
91
 
9.3%
49
 
5.0%
48
 
4.9%
32
 
3.3%
30
 
3.1%
30
 
3.1%
28
 
2.9%
23
 
2.3%
22
 
2.2%
22
 
2.2%
Other values (171) 607
61.8%
Other Punctuation
ValueCountFrequency (%)
, 15
83.3%
· 2
 
11.1%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
190
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 982
82.4%
Common 210
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
91
 
9.3%
49
 
5.0%
48
 
4.9%
32
 
3.3%
30
 
3.1%
30
 
3.1%
28
 
2.9%
23
 
2.3%
22
 
2.2%
22
 
2.2%
Other values (171) 607
61.8%
Common
ValueCountFrequency (%)
190
90.5%
, 15
 
7.1%
· 2
 
1.0%
1 2
 
1.0%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 982
82.4%
ASCII 208
 
17.4%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
91.3%
, 15
 
7.2%
1 2
 
1.0%
. 1
 
0.5%
Hangul
ValueCountFrequency (%)
91
 
9.3%
49
 
5.0%
48
 
4.9%
32
 
3.3%
30
 
3.1%
30
 
3.1%
28
 
2.9%
23
 
2.3%
22
 
2.2%
22
 
2.2%
Other values (171) 607
61.8%
None
ValueCountFrequency (%)
· 2
100.0%

출하지수(2015-01)
Real number (ℝ)

Distinct100
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.502419
Minimum50.8
Maximum185.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:46.791513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.8
5-th percentile76.69
Q188.55
median95.85
Q3100.925
95-th percentile112.87
Maximum185.6
Range134.8
Interquartile range (IQR)12.375

Descriptive statistics

Standard deviation13.706028
Coefficient of variation (CV)0.14351498
Kurtosis15.423809
Mean95.502419
Median Absolute Deviation (MAD)5.95
Skewness2.1075108
Sum11842.3
Variance187.8552
MonotonicityNot monotonic
2023-12-12T10:04:46.949709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.6 5
 
4.0%
98.5 3
 
2.4%
86.7 3
 
2.4%
85.5 3
 
2.4%
95.9 2
 
1.6%
82.6 2
 
1.6%
100.4 2
 
1.6%
113.6 2
 
1.6%
81.4 2
 
1.6%
101.9 2
 
1.6%
Other values (90) 98
79.0%
ValueCountFrequency (%)
50.8 1
0.8%
64.3 1
0.8%
69.0 1
0.8%
71.3 1
0.8%
71.9 1
0.8%
75.9 1
0.8%
76.0 1
0.8%
80.6 1
0.8%
81.4 2
1.6%
82.6 2
1.6%
ValueCountFrequency (%)
185.6 1
0.8%
134.1 1
0.8%
125.6 1
0.8%
113.6 2
1.6%
113.1 1
0.8%
112.9 1
0.8%
112.7 1
0.8%
111.4 2
1.6%
110.3 1
0.8%
110.1 1
0.8%

출하지수(2015-02)
Real number (ℝ)

Distinct90
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.892742
Minimum46
Maximum157.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:47.135799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile76.575
Q183.7
median87.6
Q392.575
95-th percentile97.87
Maximum157.1
Range111.1
Interquartile range (IQR)8.875

Descriptive statistics

Standard deviation10.302326
Coefficient of variation (CV)0.11721475
Kurtosis18.224079
Mean87.892742
Median Absolute Deviation (MAD)4.45
Skewness1.7156143
Sum10898.7
Variance106.13791
MonotonicityNot monotonic
2023-12-12T10:04:47.297947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.7 5
 
4.0%
95.5 4
 
3.2%
85.6 3
 
2.4%
87.1 3
 
2.4%
95.4 3
 
2.4%
87.9 3
 
2.4%
87.8 3
 
2.4%
83.7 3
 
2.4%
77.3 2
 
1.6%
96.6 2
 
1.6%
Other values (80) 93
75.0%
ValueCountFrequency (%)
46.0 1
0.8%
55.2 1
0.8%
66.8 1
0.8%
74.3 1
0.8%
74.6 1
0.8%
74.7 1
0.8%
76.5 1
0.8%
77.0 1
0.8%
77.3 2
1.6%
78.3 1
0.8%
ValueCountFrequency (%)
157.1 1
0.8%
112.5 1
0.8%
100.3 1
0.8%
99.1 1
0.8%
98.5 1
0.8%
98.0 1
0.8%
97.9 1
0.8%
97.7 1
0.8%
97.5 1
0.8%
97.2 1
0.8%

출하지수(2015-03)
Real number (ℝ)

Distinct92
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.62984
Minimum69.7
Maximum189.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:47.470305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.7
5-th percentile93.315
Q199.65
median104.95
Q3109.925
95-th percentile119.44
Maximum189.7
Range120
Interquartile range (IQR)10.275

Descriptive statistics

Standard deviation11.632621
Coefficient of variation (CV)0.11012628
Kurtosis22.040687
Mean105.62984
Median Absolute Deviation (MAD)5.25
Skewness2.8387329
Sum13098.1
Variance135.31788
MonotonicityNot monotonic
2023-12-12T10:04:47.952309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.7 5
 
4.0%
107.4 4
 
3.2%
99.0 3
 
2.4%
114.8 3
 
2.4%
104.6 3
 
2.4%
107.2 3
 
2.4%
104.4 3
 
2.4%
106.7 3
 
2.4%
104.7 2
 
1.6%
107.3 2
 
1.6%
Other values (82) 93
75.0%
ValueCountFrequency (%)
69.7 1
0.8%
80.3 1
0.8%
84.1 1
0.8%
87.2 1
0.8%
87.3 1
0.8%
88.5 1
0.8%
93.3 1
0.8%
93.4 1
0.8%
93.9 1
0.8%
94.7 1
0.8%
ValueCountFrequency (%)
189.7 1
0.8%
133.1 1
0.8%
126.7 1
0.8%
121.7 1
0.8%
120.8 1
0.8%
120.2 1
0.8%
120.1 1
0.8%
115.7 1
0.8%
115.6 1
0.8%
114.9 1
0.8%

출하지수(2015-04)
Real number (ℝ)

Distinct89
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.225
Minimum79.7
Maximum184.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:48.153079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.7
5-th percentile89.215
Q198.55
median102.7
Q3106.125
95-th percentile109.985
Maximum184.9
Range105.2
Interquartile range (IQR)7.575

Descriptive statistics

Standard deviation9.7758257
Coefficient of variation (CV)0.095630479
Kurtosis41.48097
Mean102.225
Median Absolute Deviation (MAD)3.5
Skewness4.6263922
Sum12675.9
Variance95.566768
MonotonicityNot monotonic
2023-12-12T10:04:48.325041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.2 5
 
4.0%
102.6 4
 
3.2%
106.3 4
 
3.2%
102.0 3
 
2.4%
105.2 3
 
2.4%
99.8 3
 
2.4%
107.1 3
 
2.4%
104.9 2
 
1.6%
98.4 2
 
1.6%
104.1 2
 
1.6%
Other values (79) 93
75.0%
ValueCountFrequency (%)
79.7 1
0.8%
80.3 1
0.8%
83.7 1
0.8%
87.3 1
0.8%
88.2 1
0.8%
88.8 1
0.8%
89.2 1
0.8%
89.3 1
0.8%
90.9 1
0.8%
91.1 1
0.8%
ValueCountFrequency (%)
184.9 1
0.8%
113.4 1
0.8%
112.1 1
0.8%
111.6 1
0.8%
111.5 1
0.8%
111.3 1
0.8%
110.0 1
0.8%
109.9 1
0.8%
109.7 1
0.8%
109.3 1
0.8%

출하지수(2015-05)
Real number (ℝ)

Distinct85
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.608065
Minimum77.7
Maximum123.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:48.536490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.7
5-th percentile88.79
Q195.275
median98.5
Q3102.025
95-th percentile109.05
Maximum123.4
Range45.7
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation6.439343
Coefficient of variation (CV)0.065302397
Kurtosis2.0834561
Mean98.608065
Median Absolute Deviation (MAD)3.5
Skewness0.26698993
Sum12227.4
Variance41.465138
MonotonicityNot monotonic
2023-12-12T10:04:48.739244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.9 6
 
4.8%
102.1 5
 
4.0%
100.6 4
 
3.2%
96.0 3
 
2.4%
97.1 3
 
2.4%
96.2 3
 
2.4%
95.9 3
 
2.4%
96.3 2
 
1.6%
98.5 2
 
1.6%
98.0 2
 
1.6%
Other values (75) 91
73.4%
ValueCountFrequency (%)
77.7 1
0.8%
83.5 1
0.8%
85.2 1
0.8%
85.6 1
0.8%
86.3 1
0.8%
87.8 1
0.8%
88.7 1
0.8%
89.3 1
0.8%
89.4 1
0.8%
90.8 1
0.8%
ValueCountFrequency (%)
123.4 1
0.8%
116.1 1
0.8%
114.0 1
0.8%
111.3 1
0.8%
110.1 1
0.8%
109.4 1
0.8%
109.2 1
0.8%
108.2 1
0.8%
107.8 1
0.8%
107.0 1
0.8%

출하지수(2015-06)
Real number (ℝ)

Distinct95
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.87339
Minimum74.3
Maximum134.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:48.950532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.3
5-th percentile91.055
Q198.5
median104.2
Q3109.65
95-th percentile116.1
Maximum134.8
Range60.5
Interquartile range (IQR)11.15

Descriptive statistics

Standard deviation8.7675038
Coefficient of variation (CV)0.08440568
Kurtosis1.610251
Mean103.87339
Median Absolute Deviation (MAD)5.75
Skewness-0.11503674
Sum12880.3
Variance76.869123
MonotonicityNot monotonic
2023-12-12T10:04:49.146786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112.2 8
 
6.5%
114.1 3
 
2.4%
98.6 3
 
2.4%
106.3 3
 
2.4%
112.3 2
 
1.6%
116.1 2
 
1.6%
97.6 2
 
1.6%
105.7 2
 
1.6%
94.7 2
 
1.6%
104.2 2
 
1.6%
Other values (85) 95
76.6%
ValueCountFrequency (%)
74.3 1
0.8%
77.7 1
0.8%
85.4 1
0.8%
86.3 1
0.8%
86.5 1
0.8%
90.3 1
0.8%
90.8 1
0.8%
92.5 1
0.8%
92.6 1
0.8%
93.1 1
0.8%
ValueCountFrequency (%)
134.8 1
 
0.8%
125.5 1
 
0.8%
119.9 1
 
0.8%
118.2 1
 
0.8%
117.6 1
 
0.8%
116.8 1
 
0.8%
116.1 2
1.6%
115.3 1
 
0.8%
114.1 3
2.4%
114.0 1
 
0.8%

출하지수(2015-07)
Real number (ℝ)

Distinct91
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.62823
Minimum51
Maximum122.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:49.360979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile91.33
Q197.6
median101.15
Q3104
95-th percentile109.805
Maximum122.5
Range71.5
Interquartile range (IQR)6.4

Descriptive statistics

Standard deviation7.8713596
Coefficient of variation (CV)0.078222184
Kurtosis14.791412
Mean100.62823
Median Absolute Deviation (MAD)3.25
Skewness-2.3191293
Sum12477.9
Variance61.958303
MonotonicityNot monotonic
2023-12-12T10:04:49.554640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.6 6
 
4.8%
103.5 4
 
3.2%
100.3 4
 
3.2%
104.0 4
 
3.2%
104.4 3
 
2.4%
106.1 3
 
2.4%
102.6 3
 
2.4%
102.2 2
 
1.6%
103.8 2
 
1.6%
103.1 2
 
1.6%
Other values (81) 91
73.4%
ValueCountFrequency (%)
51.0 1
0.8%
67.4 1
0.8%
85.3 1
0.8%
87.3 1
0.8%
89.7 1
0.8%
90.7 1
0.8%
91.3 1
0.8%
91.5 1
0.8%
92.7 1
0.8%
93.1 1
0.8%
ValueCountFrequency (%)
122.5 1
0.8%
121.7 1
0.8%
117.1 1
0.8%
113.8 1
0.8%
113.3 1
0.8%
110.8 1
0.8%
110.0 1
0.8%
108.7 1
0.8%
108.5 1
0.8%
108.2 1
0.8%

출하지수(2015-08)
Real number (ℝ)

Distinct86
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.472581
Minimum45.8
Maximum110.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:49.727038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.8
5-th percentile82.915
Q189.2
median93.5
Q398.025
95-th percentile104.355
Maximum110.1
Range64.3
Interquartile range (IQR)8.825

Descriptive statistics

Standard deviation7.8691674
Coefficient of variation (CV)0.084186906
Kurtosis9.9303237
Mean93.472581
Median Absolute Deviation (MAD)4.5
Skewness-1.6531354
Sum11590.6
Variance61.923795
MonotonicityNot monotonic
2023-12-12T10:04:49.902335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.4 6
 
4.8%
83.2 3
 
2.4%
96.2 3
 
2.4%
93.2 3
 
2.4%
94.4 3
 
2.4%
90.9 3
 
2.4%
96.0 3
 
2.4%
102.6 2
 
1.6%
98.0 2
 
1.6%
103.6 2
 
1.6%
Other values (76) 94
75.8%
ValueCountFrequency (%)
45.8 1
 
0.8%
78.8 1
 
0.8%
81.0 1
 
0.8%
81.6 2
1.6%
81.8 1
 
0.8%
82.9 1
 
0.8%
83.0 1
 
0.8%
83.2 3
2.4%
83.3 1
 
0.8%
84.0 1
 
0.8%
ValueCountFrequency (%)
110.1 2
1.6%
109.3 1
0.8%
109.0 1
0.8%
107.7 1
0.8%
104.9 1
0.8%
104.4 1
0.8%
104.1 1
0.8%
103.6 2
1.6%
102.6 2
1.6%
102.5 1
0.8%

출하지수(2015-09)
Real number (ℝ)

Distinct93
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.475
Minimum48.3
Maximum127.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:50.111591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.3
5-th percentile84.85
Q194.075
median99.3
Q3104.15
95-th percentile114.9
Maximum127.3
Range79
Interquartile range (IQR)10.075

Descriptive statistics

Standard deviation9.6374829
Coefficient of variation (CV)0.096883468
Kurtosis6.5001652
Mean99.475
Median Absolute Deviation (MAD)5.25
Skewness-0.89337193
Sum12334.9
Variance92.881077
MonotonicityNot monotonic
2023-12-12T10:04:50.297068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.5 4
 
3.2%
95.9 4
 
3.2%
93.4 3
 
2.4%
101.4 3
 
2.4%
105.1 3
 
2.4%
95.7 2
 
1.6%
110.1 2
 
1.6%
94.0 2
 
1.6%
103.1 2
 
1.6%
101.0 2
 
1.6%
Other values (83) 97
78.2%
ValueCountFrequency (%)
48.3 1
0.8%
73.3 1
0.8%
79.0 1
0.8%
82.8 1
0.8%
83.4 1
0.8%
83.8 1
0.8%
84.1 1
0.8%
89.1 1
0.8%
89.7 1
0.8%
91.0 1
0.8%
ValueCountFrequency (%)
127.3 2
1.6%
117.1 1
0.8%
116.4 1
0.8%
115.3 1
0.8%
115.2 1
0.8%
114.9 2
1.6%
114.0 1
0.8%
113.5 1
0.8%
112.2 1
0.8%
111.1 1
0.8%

출하지수(2015-10)
Real number (ℝ)

Distinct94
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.32903
Minimum45.5
Maximum165.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:50.469830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.5
5-th percentile89.515
Q197.475
median104.4
Q3108.225
95-th percentile117.68
Maximum165.9
Range120.4
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation12.329493
Coefficient of variation (CV)0.11932264
Kurtosis8.7798553
Mean103.32903
Median Absolute Deviation (MAD)5.1
Skewness0.37736602
Sum12812.8
Variance152.01639
MonotonicityNot monotonic
2023-12-12T10:04:50.668324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.7 5
 
4.0%
104.7 3
 
2.4%
90.6 3
 
2.4%
106.6 3
 
2.4%
99.2 3
 
2.4%
89.6 2
 
1.6%
106.3 2
 
1.6%
109.5 2
 
1.6%
109.1 2
 
1.6%
96.4 2
 
1.6%
Other values (84) 97
78.2%
ValueCountFrequency (%)
45.5 1
 
0.8%
78.1 2
1.6%
82.5 1
 
0.8%
84.7 1
 
0.8%
86.7 1
 
0.8%
89.5 1
 
0.8%
89.6 2
1.6%
89.8 1
 
0.8%
90.4 1
 
0.8%
90.6 3
2.4%
ValueCountFrequency (%)
165.9 1
0.8%
145.0 1
0.8%
125.1 1
0.8%
124.9 1
0.8%
120.8 1
0.8%
120.6 1
0.8%
117.8 1
0.8%
117.0 1
0.8%
116.3 1
0.8%
115.2 1
0.8%

출하지수(2015-11)
Real number (ℝ)

Distinct93
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.32419
Minimum43
Maximum130.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:50.901011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile87.985
Q195.6
median101.75
Q3105.425
95-th percentile117.87
Maximum130.8
Range87.8
Interquartile range (IQR)9.825

Descriptive statistics

Standard deviation10.685073
Coefficient of variation (CV)0.10545431
Kurtosis7.1649364
Mean101.32419
Median Absolute Deviation (MAD)4.65
Skewness-0.92243426
Sum12564.2
Variance114.17079
MonotonicityNot monotonic
2023-12-12T10:04:51.128874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.9 7
 
5.6%
102.9 3
 
2.4%
103.9 3
 
2.4%
97.1 3
 
2.4%
98.7 3
 
2.4%
93.9 3
 
2.4%
105.2 3
 
2.4%
104.7 2
 
1.6%
100.1 2
 
1.6%
103.3 2
 
1.6%
Other values (83) 93
75.0%
ValueCountFrequency (%)
43.0 1
0.8%
77.7 2
1.6%
81.4 1
0.8%
82.4 1
0.8%
87.5 1
0.8%
87.7 1
0.8%
89.6 1
0.8%
90.7 1
0.8%
91.5 1
0.8%
91.8 1
0.8%
ValueCountFrequency (%)
130.8 1
0.8%
129.2 1
0.8%
127.0 1
0.8%
126.7 1
0.8%
124.4 1
0.8%
119.5 1
0.8%
118.2 1
0.8%
116.0 1
0.8%
115.2 1
0.8%
114.4 1
0.8%

출하지수(2015-12)
Real number (ℝ)

Distinct102
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.84032
Minimum60
Maximum193.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:51.352669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile90.105
Q1102.6
median106.85
Q3112.525
95-th percentile133.61
Maximum193.2
Range133.2
Interquartile range (IQR)9.925

Descriptive statistics

Standard deviation17.856483
Coefficient of variation (CV)0.16406128
Kurtosis7.4464462
Mean108.84032
Median Absolute Deviation (MAD)5.15
Skewness1.7569635
Sum13496.2
Variance318.85397
MonotonicityNot monotonic
2023-12-12T10:04:51.570929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.7 4
 
3.2%
103.6 4
 
3.2%
111.1 3
 
2.4%
111.8 2
 
1.6%
107.2 2
 
1.6%
110.5 2
 
1.6%
101.7 2
 
1.6%
104.6 2
 
1.6%
107.8 2
 
1.6%
90.7 2
 
1.6%
Other values (92) 99
79.8%
ValueCountFrequency (%)
60.0 1
0.8%
64.2 1
0.8%
66.3 1
0.8%
81.2 1
0.8%
82.2 1
0.8%
87.9 1
0.8%
90.0 1
0.8%
90.7 2
1.6%
91.9 1
0.8%
92.3 1
0.8%
ValueCountFrequency (%)
193.2 1
0.8%
173.9 1
0.8%
173.7 1
0.8%
172.4 1
0.8%
158.2 1
0.8%
134.5 1
0.8%
134.0 1
0.8%
131.4 1
0.8%
128.8 1
0.8%
127.4 1
0.8%

출하지수(2016-01)
Real number (ℝ)

Distinct98
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.155645
Minimum50.8
Maximum185.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:51.797018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.8
5-th percentile77.445
Q186.775
median95.45
Q3101.3
95-th percentile112.275
Maximum185.7
Range134.9
Interquartile range (IQR)14.525

Descriptive statistics

Standard deviation14.087325
Coefficient of variation (CV)0.14804508
Kurtosis13.818185
Mean95.155645
Median Absolute Deviation (MAD)7.05
Skewness2.0838476
Sum11799.3
Variance198.45273
MonotonicityNot monotonic
2023-12-12T10:04:52.007474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.6 6
 
4.8%
84.5 4
 
3.2%
89.0 4
 
3.2%
97.7 3
 
2.4%
100.2 2
 
1.6%
105.5 2
 
1.6%
88.4 2
 
1.6%
99.4 2
 
1.6%
101.9 2
 
1.6%
101.1 2
 
1.6%
Other values (88) 95
76.6%
ValueCountFrequency (%)
50.8 1
0.8%
67.0 1
0.8%
72.7 2
1.6%
74.9 1
0.8%
75.4 1
0.8%
77.1 1
0.8%
79.4 1
0.8%
80.3 1
0.8%
80.5 1
0.8%
80.9 1
0.8%
ValueCountFrequency (%)
185.7 1
0.8%
137.6 1
0.8%
120.2 1
0.8%
118.4 1
0.8%
118.1 1
0.8%
112.7 1
0.8%
112.5 1
0.8%
111.0 1
0.8%
109.1 1
0.8%
109.0 1
0.8%

출하지수(2016-02)
Real number (ℝ)

Distinct91
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.702419
Minimum51
Maximum170.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:52.185994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile72.395
Q185.2
median89.8
Q395.35
95-th percentile106.985
Maximum170.6
Range119.6
Interquartile range (IQR)10.15

Descriptive statistics

Standard deviation12.523789
Coefficient of variation (CV)0.13807557
Kurtosis13.248935
Mean90.702419
Median Absolute Deviation (MAD)4.75
Skewness1.9225082
Sum11247.1
Variance156.84528
MonotonicityNot monotonic
2023-12-12T10:04:52.371357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.2 6
 
4.8%
91.9 4
 
3.2%
88.7 3
 
2.4%
91.5 3
 
2.4%
86.7 3
 
2.4%
87.1 3
 
2.4%
92.9 2
 
1.6%
86.6 2
 
1.6%
85.1 2
 
1.6%
86.9 2
 
1.6%
Other values (81) 94
75.8%
ValueCountFrequency (%)
51.0 1
0.8%
63.9 1
0.8%
70.1 1
0.8%
71.3 1
0.8%
71.7 2
1.6%
72.2 1
0.8%
73.5 1
0.8%
74.2 1
0.8%
74.3 1
0.8%
74.9 1
0.8%
ValueCountFrequency (%)
170.6 1
0.8%
119.2 1
0.8%
115.5 1
0.8%
113.2 1
0.8%
112.8 1
0.8%
108.0 1
0.8%
107.0 1
0.8%
106.9 1
0.8%
106.6 2
1.6%
104.9 1
0.8%

출하지수(2016-03)
Real number (ℝ)

Distinct98
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.44597
Minimum75.9
Maximum230.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:52.561991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.9
5-th percentile96.13
Q1103.775
median108.3
Q3112.9
95-th percentile123.51
Maximum230.2
Range154.3
Interquartile range (IQR)9.125

Descriptive statistics

Standard deviation13.665019
Coefficient of variation (CV)0.12485631
Kurtosis49.693651
Mean109.44597
Median Absolute Deviation (MAD)4.6
Skewness5.6184637
Sum13571.3
Variance186.73275
MonotonicityNot monotonic
2023-12-12T10:04:52.722384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.3 5
 
4.0%
109.7 3
 
2.4%
108.1 3
 
2.4%
106.5 3
 
2.4%
102.9 3
 
2.4%
112.9 3
 
2.4%
110.8 2
 
1.6%
100.8 2
 
1.6%
112.0 2
 
1.6%
124.4 2
 
1.6%
Other values (88) 96
77.4%
ValueCountFrequency (%)
75.9 1
0.8%
91.9 1
0.8%
92.5 1
0.8%
93.7 1
0.8%
94.3 1
0.8%
96.0 1
0.8%
96.1 1
0.8%
96.3 1
0.8%
97.3 1
0.8%
97.7 1
0.8%
ValueCountFrequency (%)
230.2 1
0.8%
137.2 1
0.8%
129.5 1
0.8%
126.4 1
0.8%
124.4 2
1.6%
123.9 1
0.8%
121.3 1
0.8%
120.9 1
0.8%
120.2 1
0.8%
120.1 1
0.8%

출하지수(2016-04)
Real number (ℝ)

Distinct103
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.41452
Minimum73.7
Maximum141.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:52.885579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.7
5-th percentile83.92
Q196.55
median100.9
Q3106.4
95-th percentile118.425
Maximum141.8
Range68.1
Interquartile range (IQR)9.85

Descriptive statistics

Standard deviation10.851681
Coefficient of variation (CV)0.10700323
Kurtosis2.0075433
Mean101.41452
Median Absolute Deviation (MAD)5
Skewness0.58122496
Sum12575.4
Variance117.75897
MonotonicityNot monotonic
2023-12-12T10:04:53.389436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.9 6
 
4.8%
99.0 3
 
2.4%
103.4 2
 
1.6%
101.7 2
 
1.6%
106.4 2
 
1.6%
96.7 2
 
1.6%
97.0 2
 
1.6%
84.6 2
 
1.6%
81.7 2
 
1.6%
95.9 2
 
1.6%
Other values (93) 99
79.8%
ValueCountFrequency (%)
73.7 1
0.8%
77.3 1
0.8%
79.1 1
0.8%
81.7 2
1.6%
82.8 1
0.8%
83.8 1
0.8%
84.6 2
1.6%
86.2 1
0.8%
87.6 1
0.8%
88.2 1
0.8%
ValueCountFrequency (%)
141.8 1
0.8%
139.2 1
0.8%
123.9 2
1.6%
123.8 1
0.8%
119.8 1
0.8%
118.5 1
0.8%
118.0 1
0.8%
117.9 1
0.8%
117.4 1
0.8%
115.8 1
0.8%

출하지수(2016-05)
Real number (ℝ)

Distinct98
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.43871
Minimum66.3
Maximum165.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:53.561353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.3
5-th percentile88.575
Q198.5
median103.25
Q3110.35
95-th percentile122.51
Maximum165.5
Range99.2
Interquartile range (IQR)11.85

Descriptive statistics

Standard deviation11.613293
Coefficient of variation (CV)0.11119721
Kurtosis6.2029786
Mean104.43871
Median Absolute Deviation (MAD)5.75
Skewness0.96332276
Sum12950.4
Variance134.86857
MonotonicityNot monotonic
2023-12-12T10:04:53.730284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.4 4
 
3.2%
98.5 4
 
3.2%
104.8 3
 
2.4%
98.6 3
 
2.4%
109.6 3
 
2.4%
111.3 2
 
1.6%
99.6 2
 
1.6%
100.4 2
 
1.6%
103.6 2
 
1.6%
103.7 2
 
1.6%
Other values (88) 97
78.2%
ValueCountFrequency (%)
66.3 1
0.8%
73.2 1
0.8%
83.0 1
0.8%
84.9 1
0.8%
87.1 1
0.8%
87.3 1
0.8%
88.5 1
0.8%
89.0 1
0.8%
90.0 1
0.8%
90.7 1
0.8%
ValueCountFrequency (%)
165.5 1
0.8%
129.2 1
0.8%
127.9 1
0.8%
127.8 1
0.8%
127.1 1
0.8%
122.6 2
1.6%
122.0 1
0.8%
120.1 1
0.8%
119.7 1
0.8%
118.6 1
0.8%

출하지수(2016-06)
Real number (ℝ)

Distinct99
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.34516
Minimum66.7
Maximum189.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:53.899307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.7
5-th percentile83.635
Q199.425
median107.7
Q3113.125
95-th percentile125.685
Maximum189.9
Range123.2
Interquartile range (IQR)13.7

Descriptive statistics

Standard deviation14.408011
Coefficient of variation (CV)0.13422134
Kurtosis9.0290255
Mean107.34516
Median Absolute Deviation (MAD)6.05
Skewness1.2796421
Sum13310.8
Variance207.59079
MonotonicityNot monotonic
2023-12-12T10:04:54.074456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.6 4
 
3.2%
114.0 3
 
2.4%
107.7 3
 
2.4%
96.8 3
 
2.4%
106.9 2
 
1.6%
135.2 2
 
1.6%
105.8 2
 
1.6%
94.6 2
 
1.6%
98.7 2
 
1.6%
106.1 2
 
1.6%
Other values (89) 99
79.8%
ValueCountFrequency (%)
66.7 1
0.8%
71.6 1
0.8%
72.6 1
0.8%
75.9 1
0.8%
79.2 1
0.8%
82.8 1
0.8%
83.5 1
0.8%
84.4 1
0.8%
90.3 1
0.8%
91.4 1
0.8%
ValueCountFrequency (%)
189.9 1
0.8%
150.7 1
0.8%
135.2 2
1.6%
129.4 1
0.8%
128.4 1
0.8%
125.7 1
0.8%
125.6 1
0.8%
122.8 1
0.8%
122.7 1
0.8%
121.8 1
0.8%

출하지수(2016-07)
Real number (ℝ)

Distinct94
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.76935
Minimum50.3
Maximum184.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:54.243532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.3
5-th percentile80.725
Q195.375
median103.65
Q3108.35
95-th percentile118.165
Maximum184.5
Range134.2
Interquartile range (IQR)12.975

Descriptive statistics

Standard deviation14.391038
Coefficient of variation (CV)0.14140837
Kurtosis10.541444
Mean101.76935
Median Absolute Deviation (MAD)6.15
Skewness0.54221037
Sum12619.4
Variance207.10198
MonotonicityNot monotonic
2023-12-12T10:04:54.416997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.2 3
 
2.4%
95.2 3
 
2.4%
106.0 3
 
2.4%
109.2 3
 
2.4%
109.3 3
 
2.4%
112.9 2
 
1.6%
104.0 2
 
1.6%
99.4 2
 
1.6%
102.6 2
 
1.6%
96.9 2
 
1.6%
Other values (84) 99
79.8%
ValueCountFrequency (%)
50.3 1
0.8%
52.1 1
0.8%
57.3 1
0.8%
68.3 1
0.8%
73.9 1
0.8%
78.8 1
0.8%
80.5 1
0.8%
82.0 1
0.8%
84.0 1
0.8%
87.6 1
0.8%
ValueCountFrequency (%)
184.5 1
0.8%
129.1 1
0.8%
126.0 1
0.8%
124.7 1
0.8%
119.6 1
0.8%
118.7 1
0.8%
118.6 1
0.8%
115.7 1
0.8%
115.2 1
0.8%
114.9 1
0.8%

출하지수(2016-08)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.615323
Minimum56.1
Maximum201.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:54.558309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.1
5-th percentile74.08
Q188.725
median97
Q3104.925
95-th percentile133.95
Maximum201.5
Range145.4
Interquartile range (IQR)16.2

Descriptive statistics

Standard deviation19.577746
Coefficient of variation (CV)0.19852641
Kurtosis6.6595961
Mean98.615323
Median Absolute Deviation (MAD)8.25
Skewness1.7058648
Sum12228.3
Variance383.28814
MonotonicityNot monotonic
2023-12-12T10:04:54.710211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.6 4
 
3.2%
97.1 3
 
2.4%
112.2 2
 
1.6%
92.7 2
 
1.6%
97.8 2
 
1.6%
88.8 2
 
1.6%
93.2 2
 
1.6%
110.2 2
 
1.6%
81.3 2
 
1.6%
94.3 2
 
1.6%
Other values (97) 101
81.5%
ValueCountFrequency (%)
56.1 1
0.8%
60.5 1
0.8%
61.0 1
0.8%
63.0 1
0.8%
69.2 1
0.8%
72.2 1
0.8%
73.9 1
0.8%
75.1 1
0.8%
75.6 1
0.8%
77.0 1
0.8%
ValueCountFrequency (%)
201.5 1
0.8%
153.0 1
0.8%
152.9 1
0.8%
150.5 2
1.6%
149.8 1
0.8%
135.0 1
0.8%
128.0 1
0.8%
123.1 1
0.8%
117.6 1
0.8%
117.0 1
0.8%

출하지수(2016-09)
Real number (ℝ)

Distinct101
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.41613
Minimum50.7
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:54.877565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.7
5-th percentile78.915
Q192.4
median101
Q3106.125
95-th percentile132.5
Maximum212
Range161.3
Interquartile range (IQR)13.725

Descriptive statistics

Standard deviation19.149907
Coefficient of variation (CV)0.18882506
Kurtosis10.232129
Mean101.41613
Median Absolute Deviation (MAD)7.35
Skewness2.0860166
Sum12575.6
Variance366.71892
MonotonicityNot monotonic
2023-12-12T10:04:55.054869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.6 3
 
2.4%
102.7 3
 
2.4%
103.0 3
 
2.4%
98.3 3
 
2.4%
103.7 3
 
2.4%
108.2 2
 
1.6%
88.3 2
 
1.6%
90.9 2
 
1.6%
103.8 2
 
1.6%
91.8 2
 
1.6%
Other values (91) 99
79.8%
ValueCountFrequency (%)
50.7 1
0.8%
61.3 1
0.8%
65.1 1
0.8%
66.8 1
0.8%
70.1 1
0.8%
78.8 1
0.8%
78.9 1
0.8%
79.0 1
0.8%
79.3 1
0.8%
82.0 1
0.8%
ValueCountFrequency (%)
212.0 1
0.8%
168.8 1
0.8%
154.0 2
1.6%
146.4 1
0.8%
141.5 1
0.8%
132.5 2
1.6%
118.4 1
0.8%
118.2 1
0.8%
116.3 1
0.8%
114.2 1
0.8%

출하지수(2016-10)
Real number (ℝ)

Distinct95
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.37016
Minimum45.4
Maximum190.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:55.234929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.4
5-th percentile78.845
Q199.2
median106.85
Q3113.9
95-th percentile140.275
Maximum190.7
Range145.3
Interquartile range (IQR)14.7

Descriptive statistics

Standard deviation19.29517
Coefficient of variation (CV)0.179707
Kurtosis4.928188
Mean107.37016
Median Absolute Deviation (MAD)7.4
Skewness0.9190363
Sum13313.9
Variance372.30357
MonotonicityNot monotonic
2023-12-12T10:04:55.385962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.7 5
 
4.0%
111.4 4
 
3.2%
111.3 3
 
2.4%
110.8 3
 
2.4%
111.9 2
 
1.6%
94.1 2
 
1.6%
115.2 2
 
1.6%
92.9 2
 
1.6%
114.2 2
 
1.6%
117.1 2
 
1.6%
Other values (85) 97
78.2%
ValueCountFrequency (%)
45.4 1
0.8%
56.3 1
0.8%
63.0 1
0.8%
73.9 1
0.8%
74.3 1
0.8%
78.4 1
0.8%
78.8 1
0.8%
79.1 1
0.8%
81.7 1
0.8%
82.0 1
0.8%
ValueCountFrequency (%)
190.7 1
0.8%
173.1 2
1.6%
155.7 1
0.8%
144.1 1
0.8%
143.9 1
0.8%
140.8 1
0.8%
137.3 1
0.8%
135.9 2
1.6%
124.2 1
0.8%
123.3 1
0.8%

출하지수(2016-11)
Real number (ℝ)

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.82581
Minimum49.9
Maximum176.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:55.583988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.9
5-th percentile85.445
Q1102.45
median110.25
Q3115.65
95-th percentile138.62
Maximum176.5
Range126.6
Interquartile range (IQR)13.2

Descriptive statistics

Standard deviation17.731043
Coefficient of variation (CV)0.1599902
Kurtosis4.210325
Mean110.82581
Median Absolute Deviation (MAD)6.6
Skewness0.76335395
Sum13742.4
Variance314.3899
MonotonicityNot monotonic
2023-12-12T10:04:55.757025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.0 3
 
2.4%
114.9 3
 
2.4%
96.7 2
 
1.6%
176.5 2
 
1.6%
114.5 2
 
1.6%
113.9 2
 
1.6%
113.5 2
 
1.6%
133.4 2
 
1.6%
106.8 2
 
1.6%
115.5 2
 
1.6%
Other values (101) 102
82.3%
ValueCountFrequency (%)
49.9 1
0.8%
67.8 1
0.8%
71.2 1
0.8%
78.0 1
0.8%
81.0 1
0.8%
85.2 1
0.8%
85.4 1
0.8%
85.7 1
0.8%
86.3 1
0.8%
89.9 1
0.8%
ValueCountFrequency (%)
176.5 2
1.6%
171.8 1
0.8%
157.4 1
0.8%
143.8 1
0.8%
140.9 1
0.8%
139.4 1
0.8%
134.2 1
0.8%
133.5 1
0.8%
133.4 2
1.6%
132.3 1
0.8%

출하지수(2016-12)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.9379
Minimum57.6
Maximum256.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:55.911379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.6
5-th percentile82.715
Q1104
median114.1
Q3128.55
95-th percentile151.985
Maximum256.8
Range199.2
Interquartile range (IQR)24.55

Descriptive statistics

Standard deviation27.70888
Coefficient of variation (CV)0.23494466
Kurtosis9.0127937
Mean117.9379
Median Absolute Deviation (MAD)13.1
Skewness1.9929081
Sum14624.3
Variance767.78205
MonotonicityNot monotonic
2023-12-12T10:04:56.077613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141.4 4
 
3.2%
108.3 4
 
3.2%
105.2 3
 
2.4%
124.0 2
 
1.6%
141.5 2
 
1.6%
94.6 2
 
1.6%
119.2 2
 
1.6%
256.8 2
 
1.6%
124.1 2
 
1.6%
117.4 2
 
1.6%
Other values (98) 99
79.8%
ValueCountFrequency (%)
57.6 1
0.8%
57.9 1
0.8%
62.7 1
0.8%
77.1 1
0.8%
82.0 1
0.8%
82.1 1
0.8%
82.4 1
0.8%
84.5 1
0.8%
85.4 1
0.8%
86.4 1
0.8%
ValueCountFrequency (%)
256.8 2
1.6%
174.5 1
0.8%
173.5 1
0.8%
171.0 1
0.8%
153.9 1
0.8%
152.0 1
0.8%
151.9 1
0.8%
150.4 1
0.8%
147.4 1
0.8%
147.0 1
0.8%

출하지수(2017-01)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.63629
Minimum41.6
Maximum193.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:56.276556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.6
5-th percentile68.06
Q187.175
median96.6
Q3109.65
95-th percentile128.405
Maximum193.5
Range151.9
Interquartile range (IQR)22.475

Descriptive statistics

Standard deviation21.581377
Coefficient of variation (CV)0.21879753
Kurtosis6.1203432
Mean98.63629
Median Absolute Deviation (MAD)10.3
Skewness1.5824234
Sum12230.9
Variance465.75583
MonotonicityNot monotonic
2023-12-12T10:04:56.433010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.0 3
 
2.4%
113.9 2
 
1.6%
186.4 2
 
1.6%
81.7 2
 
1.6%
95.1 2
 
1.6%
96.6 2
 
1.6%
83.5 2
 
1.6%
93.6 2
 
1.6%
88.5 2
 
1.6%
98.6 2
 
1.6%
Other values (103) 103
83.1%
ValueCountFrequency (%)
41.6 1
0.8%
59.0 1
0.8%
62.9 1
0.8%
64.1 1
0.8%
66.2 1
0.8%
67.9 1
0.8%
68.0 1
0.8%
68.4 1
0.8%
71.6 1
0.8%
74.7 1
0.8%
ValueCountFrequency (%)
193.5 1
0.8%
186.4 2
1.6%
147.8 1
0.8%
131.1 1
0.8%
129.0 1
0.8%
128.6 1
0.8%
127.3 1
0.8%
121.0 1
0.8%
120.9 1
0.8%
117.4 1
0.8%

출하지수(2017-02)
Real number (ℝ)

Distinct105
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.2871
Minimum42.2
Maximum189.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:56.590881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.2
5-th percentile65.98
Q190.35
median98.55
Q3107.8
95-th percentile127.305
Maximum189.4
Range147.2
Interquartile range (IQR)17.45

Descriptive statistics

Standard deviation21.41458
Coefficient of variation (CV)0.21353275
Kurtosis5.1060351
Mean100.2871
Median Absolute Deviation (MAD)9.3
Skewness1.2791323
Sum12435.6
Variance458.58422
MonotonicityNot monotonic
2023-12-12T10:04:56.790512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.3 4
 
3.2%
91.8 3
 
2.4%
108.4 3
 
2.4%
100.1 3
 
2.4%
97.5 2
 
1.6%
82.2 2
 
1.6%
94.9 2
 
1.6%
99.9 2
 
1.6%
63.8 2
 
1.6%
95.6 2
 
1.6%
Other values (95) 99
79.8%
ValueCountFrequency (%)
42.2 1
0.8%
57.0 1
0.8%
61.9 1
0.8%
63.8 2
1.6%
65.1 1
0.8%
65.8 1
0.8%
67.0 1
0.8%
70.8 1
0.8%
73.4 1
0.8%
76.3 1
0.8%
ValueCountFrequency (%)
189.4 2
1.6%
177.5 1
0.8%
150.2 1
0.8%
132.6 1
0.8%
131.3 1
0.8%
127.5 1
0.8%
126.2 1
0.8%
125.4 1
0.8%
124.4 1
0.8%
121.1 1
0.8%

출하지수(2017-03)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.10484
Minimum60
Maximum229.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:56.960753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile82.935
Q1103.425
median113.2
Q3125.325
95-th percentile149.845
Maximum229.7
Range169.7
Interquartile range (IQR)21.9

Descriptive statistics

Standard deviation25.760185
Coefficient of variation (CV)0.22187004
Kurtosis6.5441669
Mean116.10484
Median Absolute Deviation (MAD)10
Skewness1.8140035
Sum14397
Variance663.58713
MonotonicityNot monotonic
2023-12-12T10:04:57.163690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
144.6 5
 
4.0%
113.7 3
 
2.4%
91.0 3
 
2.4%
117.0 2
 
1.6%
103.2 2
 
1.6%
229.7 2
 
1.6%
133.0 2
 
1.6%
106.7 2
 
1.6%
115.6 2
 
1.6%
114.1 1
 
0.8%
Other values (100) 100
80.6%
ValueCountFrequency (%)
60.0 1
0.8%
72.0 1
0.8%
73.3 1
0.8%
75.7 1
0.8%
75.8 1
0.8%
80.4 1
0.8%
82.8 1
0.8%
83.7 1
0.8%
87.5 1
0.8%
87.6 1
0.8%
ValueCountFrequency (%)
229.7 2
 
1.6%
218.0 1
 
0.8%
170.5 1
 
0.8%
158.3 1
 
0.8%
151.1 1
 
0.8%
150.4 1
 
0.8%
146.7 1
 
0.8%
144.9 1
 
0.8%
144.7 1
 
0.8%
144.6 5
4.0%

출하지수(2017-04)
Real number (ℝ)

Distinct103
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.72984
Minimum69.1
Maximum238.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:57.386543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.1
5-th percentile81.33
Q195.95
median104.55
Q3117.8
95-th percentile142.09
Maximum238.3
Range169.2
Interquartile range (IQR)21.85

Descriptive statistics

Standard deviation25.08525
Coefficient of variation (CV)0.22860919
Kurtosis9.6804233
Mean109.72984
Median Absolute Deviation (MAD)10.2
Skewness2.2899596
Sum13606.5
Variance629.26975
MonotonicityNot monotonic
2023-12-12T10:04:57.605968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138.7 4
 
3.2%
104.5 3
 
2.4%
102.4 2
 
1.6%
102.8 2
 
1.6%
100.6 2
 
1.6%
88.5 2
 
1.6%
101.8 2
 
1.6%
102.2 2
 
1.6%
111.3 2
 
1.6%
69.1 2
 
1.6%
Other values (93) 101
81.5%
ValueCountFrequency (%)
69.1 2
1.6%
72.1 1
0.8%
72.6 1
0.8%
72.8 1
0.8%
75.3 1
0.8%
81.3 1
0.8%
81.5 1
0.8%
81.8 1
0.8%
83.3 1
0.8%
83.8 1
0.8%
ValueCountFrequency (%)
238.3 2
1.6%
158.3 1
0.8%
157.3 1
0.8%
153.1 1
0.8%
143.8 1
0.8%
142.3 1
0.8%
140.9 1
0.8%
140.7 1
0.8%
139.2 1
0.8%
139.1 1
0.8%

출하지수(2017-05)
Real number (ℝ)

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.17419
Minimum59.6
Maximum273.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:57.813528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.6
5-th percentile71.015
Q197.45
median106.6
Q3121.95
95-th percentile149.385
Maximum273.8
Range214.2
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation30.002054
Coefficient of variation (CV)0.2674595
Kurtosis12.163424
Mean112.17419
Median Absolute Deviation (MAD)11.75
Skewness2.6068966
Sum13909.6
Variance900.12323
MonotonicityNot monotonic
2023-12-12T10:04:58.356479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.2 3
 
2.4%
103.7 3
 
2.4%
105.2 2
 
1.6%
97.6 2
 
1.6%
116.6 2
 
1.6%
273.8 2
 
1.6%
102.0 2
 
1.6%
92.8 2
 
1.6%
143.1 2
 
1.6%
107.8 2
 
1.6%
Other values (101) 102
82.3%
ValueCountFrequency (%)
59.6 1
0.8%
64.9 1
0.8%
69.2 1
0.8%
69.3 1
0.8%
69.9 1
0.8%
70.8 1
0.8%
71.0 1
0.8%
71.1 1
0.8%
81.6 1
0.8%
82.9 1
0.8%
ValueCountFrequency (%)
273.8 2
1.6%
171.8 1
0.8%
164.9 1
0.8%
153.6 1
0.8%
151.6 1
0.8%
149.4 1
0.8%
149.3 1
0.8%
147.6 1
0.8%
147.1 1
0.8%
145.4 1
0.8%

출하지수(2017-06)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.28306
Minimum59.2
Maximum276.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:58.520965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.2
5-th percentile78.72
Q1100.85
median111.15
Q3124.8
95-th percentile151.605
Maximum276.4
Range217.2
Interquartile range (IQR)23.95

Descriptive statistics

Standard deviation30.15917
Coefficient of variation (CV)0.25935996
Kurtosis11.459605
Mean116.28306
Median Absolute Deviation (MAD)11.2
Skewness2.4665716
Sum14419.1
Variance909.57556
MonotonicityNot monotonic
2023-12-12T10:04:58.724978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148.2 4
 
3.2%
276.4 2
 
1.6%
113.3 2
 
1.6%
104.2 2
 
1.6%
117.5 2
 
1.6%
110.0 2
 
1.6%
100.4 2
 
1.6%
108.1 2
 
1.6%
61.2 1
 
0.8%
143.8 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
59.2 1
0.8%
61.2 1
0.8%
68.0 1
0.8%
71.6 1
0.8%
74.1 1
0.8%
74.3 1
0.8%
77.7 1
0.8%
84.5 1
0.8%
84.6 1
0.8%
85.5 1
0.8%
ValueCountFrequency (%)
276.4 2
1.6%
177.3 1
 
0.8%
169.3 1
 
0.8%
166.5 1
 
0.8%
160.8 1
 
0.8%
151.8 1
 
0.8%
150.5 1
 
0.8%
148.5 1
 
0.8%
148.4 1
 
0.8%
148.2 4
3.2%

출하지수(2017-07)
Real number (ℝ)

Distinct104
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.69032
Minimum47
Maximum199.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:58.896249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile65.895
Q196.925
median107.1
Q3117.85
95-th percentile136.59
Maximum199.2
Range152.2
Interquartile range (IQR)20.925

Descriptive statistics

Standard deviation22.763537
Coefficient of variation (CV)0.21336084
Kurtosis3.7103326
Mean106.69032
Median Absolute Deviation (MAD)10.55
Skewness0.69455294
Sum13229.6
Variance518.1786
MonotonicityNot monotonic
2023-12-12T10:04:59.101330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.1 4
 
3.2%
128.1 3
 
2.4%
104.1 2
 
1.6%
107.5 2
 
1.6%
133.3 2
 
1.6%
116.3 2
 
1.6%
112.6 2
 
1.6%
99.4 2
 
1.6%
115.4 2
 
1.6%
126.3 2
 
1.6%
Other values (94) 101
81.5%
ValueCountFrequency (%)
47.0 1
0.8%
55.5 1
0.8%
59.6 1
0.8%
60.8 1
0.8%
61.2 1
0.8%
61.3 1
0.8%
65.7 1
0.8%
67.0 1
0.8%
69.3 1
0.8%
74.3 1
0.8%
ValueCountFrequency (%)
199.2 2
1.6%
156.6 1
 
0.8%
151.4 1
 
0.8%
140.3 1
 
0.8%
138.6 1
 
0.8%
137.1 1
 
0.8%
133.7 1
 
0.8%
133.3 2
1.6%
133.2 1
 
0.8%
128.1 3
2.4%

출하지수(2017-08)
Real number (ℝ)

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.33468
Minimum42.9
Maximum199.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:59.279042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.9
5-th percentile65.17
Q191.5
median100.9
Q3117.8
95-th percentile144.86
Maximum199.2
Range156.3
Interquartile range (IQR)26.3

Descriptive statistics

Standard deviation24.874256
Coefficient of variation (CV)0.23840833
Kurtosis3.0381629
Mean104.33468
Median Absolute Deviation (MAD)12.1
Skewness0.87394514
Sum12937.5
Variance618.72863
MonotonicityNot monotonic
2023-12-12T10:04:59.451377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120.8 4
 
3.2%
83.9 3
 
2.4%
199.2 2
 
1.6%
117.8 2
 
1.6%
95.1 2
 
1.6%
110.1 2
 
1.6%
163.5 2
 
1.6%
81.8 2
 
1.6%
96.4 2
 
1.6%
92.1 2
 
1.6%
Other values (101) 101
81.5%
ValueCountFrequency (%)
42.9 1
0.8%
48.7 1
0.8%
48.8 1
0.8%
51.3 1
0.8%
55.2 1
0.8%
61.5 1
0.8%
64.0 1
0.8%
71.8 1
0.8%
76.0 1
0.8%
79.9 1
0.8%
ValueCountFrequency (%)
199.2 2
1.6%
163.5 2
1.6%
161.2 1
0.8%
155.0 1
0.8%
145.1 1
0.8%
143.5 1
0.8%
142.8 1
0.8%
139.0 1
0.8%
137.0 1
0.8%
132.8 1
0.8%

출하지수(2017-09)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.64355
Minimum47.1
Maximum192.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:59.644368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.1
5-th percentile75.79
Q1101.075
median110.85
Q3125.85
95-th percentile151.87
Maximum192.7
Range145.6
Interquartile range (IQR)24.775

Descriptive statistics

Standard deviation23.166173
Coefficient of variation (CV)0.20565912
Kurtosis1.9526853
Mean112.64355
Median Absolute Deviation (MAD)11.75
Skewness0.41171188
Sum13967.8
Variance536.67158
MonotonicityNot monotonic
2023-12-12T10:04:59.825758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.2 4
 
3.2%
111.0 3
 
2.4%
107.3 2
 
1.6%
192.7 2
 
1.6%
101.2 2
 
1.6%
150.0 2
 
1.6%
100.7 2
 
1.6%
111.6 2
 
1.6%
128.3 2
 
1.6%
102.6 2
 
1.6%
Other values (98) 101
81.5%
ValueCountFrequency (%)
47.1 1
0.8%
57.7 1
0.8%
63.0 1
0.8%
63.1 1
0.8%
63.4 1
0.8%
65.5 1
0.8%
74.2 1
0.8%
84.8 1
0.8%
85.4 1
0.8%
86.2 1
0.8%
ValueCountFrequency (%)
192.7 2
1.6%
159.0 1
0.8%
158.9 1
0.8%
158.3 1
0.8%
154.1 1
0.8%
152.2 1
0.8%
150.0 2
1.6%
149.3 1
0.8%
147.9 1
0.8%
142.6 1
0.8%

출하지수(2017-10)
Real number (ℝ)

Distinct105
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.570968
Minimum35.6
Maximum167.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:04:59.985195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.6
5-th percentile66.435
Q185.175
median94.95
Q3107.775
95-th percentile137.96
Maximum167.6
Range132
Interquartile range (IQR)22.6

Descriptive statistics

Standard deviation21.458346
Coefficient of variation (CV)0.21992552
Kurtosis2.2905601
Mean97.570968
Median Absolute Deviation (MAD)11.6
Skewness0.7040977
Sum12098.8
Variance460.46061
MonotonicityNot monotonic
2023-12-12T10:05:00.192646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.0 4
 
3.2%
79.6 3
 
2.4%
84.6 2
 
1.6%
85.2 2
 
1.6%
106.7 2
 
1.6%
72.3 2
 
1.6%
107.6 2
 
1.6%
122.9 2
 
1.6%
86.3 2
 
1.6%
77.6 2
 
1.6%
Other values (95) 101
81.5%
ValueCountFrequency (%)
35.6 1
0.8%
46.9 1
0.8%
53.5 2
1.6%
62.8 1
0.8%
64.6 1
0.8%
65.4 1
0.8%
72.3 2
1.6%
74.8 1
0.8%
75.7 1
0.8%
76.8 1
0.8%
ValueCountFrequency (%)
167.6 1
0.8%
166.0 2
1.6%
157.6 1
0.8%
145.3 1
0.8%
140.2 1
0.8%
138.2 1
0.8%
136.6 1
0.8%
126.1 1
0.8%
123.6 1
0.8%
122.9 2
1.6%

출하지수(2017-11)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.55565
Minimum57
Maximum184.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:00.390609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile78.23
Q197.45
median108.15
Q3122.75
95-th percentile153.04
Maximum184.6
Range127.6
Interquartile range (IQR)25.3

Descriptive statistics

Standard deviation22.734449
Coefficient of variation (CV)0.20563807
Kurtosis1.363222
Mean110.55565
Median Absolute Deviation (MAD)12.55
Skewness0.57730331
Sum13708.9
Variance516.85517
MonotonicityNot monotonic
2023-12-12T10:05:00.612854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.6 3
 
2.4%
126.0 2
 
1.6%
95.6 2
 
1.6%
104.2 2
 
1.6%
118.0 2
 
1.6%
102.1 2
 
1.6%
184.6 2
 
1.6%
118.9 2
 
1.6%
125.9 2
 
1.6%
107.0 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
57.0 1
0.8%
62.0 1
0.8%
63.0 1
0.8%
63.2 1
0.8%
67.7 1
0.8%
70.1 1
0.8%
78.2 1
0.8%
78.4 1
0.8%
79.7 1
0.8%
84.1 1
0.8%
ValueCountFrequency (%)
184.6 2
1.6%
170.2 1
0.8%
159.5 1
0.8%
157.0 1
0.8%
153.8 1
0.8%
153.1 1
0.8%
152.7 1
0.8%
151.9 1
0.8%
143.3 1
0.8%
140.2 1
0.8%

출하지수(2017-12)
Real number (ℝ)

Distinct104
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.62339
Minimum56
Maximum214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:00.829767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile72.2
Q192.35
median109.25
Q3123.25
95-th percentile144.58
Maximum214
Range158
Interquartile range (IQR)30.9

Descriptive statistics

Standard deviation25.532772
Coefficient of variation (CV)0.23291355
Kurtosis3.1776141
Mean109.62339
Median Absolute Deviation (MAD)15.45
Skewness0.96383774
Sum13593.3
Variance651.92246
MonotonicityNot monotonic
2023-12-12T10:05:01.056294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141.9 4
 
3.2%
113.7 3
 
2.4%
108.1 2
 
1.6%
126.4 2
 
1.6%
214.0 2
 
1.6%
87.5 2
 
1.6%
119.6 2
 
1.6%
113.1 2
 
1.6%
87.4 2
 
1.6%
124.7 2
 
1.6%
Other values (94) 101
81.5%
ValueCountFrequency (%)
56.0 1
0.8%
57.9 1
0.8%
59.1 1
0.8%
63.1 1
0.8%
63.6 1
0.8%
67.2 1
0.8%
71.3 1
0.8%
77.3 1
0.8%
79.2 1
0.8%
80.4 1
0.8%
ValueCountFrequency (%)
214.0 2
1.6%
157.8 1
 
0.8%
150.4 1
 
0.8%
149.7 1
 
0.8%
147.3 1
 
0.8%
144.7 1
 
0.8%
143.9 1
 
0.8%
142.0 2
1.6%
141.9 4
3.2%
140.6 1
 
0.8%

출하지수(2018-01)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.07984
Minimum28.7
Maximum186.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:01.305284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.7
5-th percentile62.525
Q189.5
median98.5
Q3114.325
95-th percentile139.845
Maximum186.9
Range158.2
Interquartile range (IQR)24.825

Descriptive statistics

Standard deviation24.205022
Coefficient of variation (CV)0.23711854
Kurtosis1.9391274
Mean102.07984
Median Absolute Deviation (MAD)12.7
Skewness0.57910017
Sum12657.9
Variance585.88309
MonotonicityNot monotonic
2023-12-12T10:05:01.545213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.4 4
 
3.2%
89.5 3
 
2.4%
92.0 3
 
2.4%
87.5 2
 
1.6%
100.9 2
 
1.6%
85.6 2
 
1.6%
96.1 2
 
1.6%
98.5 2
 
1.6%
90.5 2
 
1.6%
101.1 2
 
1.6%
Other values (97) 100
80.6%
ValueCountFrequency (%)
28.7 1
0.8%
55.1 1
0.8%
56.7 1
0.8%
57.7 1
0.8%
59.4 1
0.8%
60.9 1
0.8%
61.1 1
0.8%
70.6 1
0.8%
71.3 1
0.8%
72.9 1
0.8%
ValueCountFrequency (%)
186.9 2
1.6%
163.8 1
0.8%
153.8 1
0.8%
144.4 1
0.8%
144.0 1
0.8%
140.4 1
0.8%
136.7 1
0.8%
132.3 1
0.8%
130.1 1
0.8%
129.8 1
0.8%

출하지수(2018-02)
Real number (ℝ)

Distinct109
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.906452
Minimum39.9
Maximum191.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:01.815978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.9
5-th percentile58.525
Q178.4
median88.2
Q3105.825
95-th percentile128.51
Maximum191.3
Range151.4
Interquartile range (IQR)27.425

Descriptive statistics

Standard deviation24.469393
Coefficient of variation (CV)0.26337668
Kurtosis2.3468865
Mean92.906452
Median Absolute Deviation (MAD)12.05
Skewness0.98128916
Sum11520.4
Variance598.75118
MonotonicityNot monotonic
2023-12-12T10:05:02.037784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.8 3
 
2.4%
118.8 3
 
2.4%
88.3 2
 
1.6%
84.1 2
 
1.6%
78.4 2
 
1.6%
79.2 2
 
1.6%
74.6 2
 
1.6%
79.4 2
 
1.6%
151.0 2
 
1.6%
111.3 2
 
1.6%
Other values (99) 102
82.3%
ValueCountFrequency (%)
39.9 1
0.8%
45.2 1
0.8%
48.0 1
0.8%
48.1 1
0.8%
48.8 1
0.8%
50.2 1
0.8%
58.0 1
0.8%
61.5 1
0.8%
64.0 1
0.8%
64.6 1
0.8%
ValueCountFrequency (%)
191.3 1
0.8%
165.9 2
1.6%
151.0 2
1.6%
144.5 1
0.8%
128.9 1
0.8%
126.3 1
0.8%
123.6 1
0.8%
123.2 1
0.8%
121.9 1
0.8%
121.5 1
0.8%

출하지수(2018-03)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.3371
Minimum51.7
Maximum239.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:02.266957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.7
5-th percentile72.06
Q195.775
median106.45
Q3124.175
95-th percentile157.06
Maximum239.7
Range188
Interquartile range (IQR)28.4

Descriptive statistics

Standard deviation31.510077
Coefficient of variation (CV)0.28049574
Kurtosis3.7127963
Mean112.3371
Median Absolute Deviation (MAD)14.55
Skewness1.3886489
Sum13929.8
Variance992.88495
MonotonicityNot monotonic
2023-12-12T10:05:02.500091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.1 3
 
2.4%
142.8 3
 
2.4%
114.5 3
 
2.4%
106.1 2
 
1.6%
74.3 2
 
1.6%
99.9 2
 
1.6%
87.3 2
 
1.6%
132.6 2
 
1.6%
200.4 2
 
1.6%
121.0 2
 
1.6%
Other values (98) 101
81.5%
ValueCountFrequency (%)
51.7 1
0.8%
54.1 1
0.8%
55.6 1
0.8%
55.7 1
0.8%
63.7 1
0.8%
68.0 1
0.8%
71.7 1
0.8%
74.1 1
0.8%
74.3 2
1.6%
75.7 1
0.8%
ValueCountFrequency (%)
239.7 1
0.8%
222.7 2
1.6%
200.4 2
1.6%
159.9 1
0.8%
157.9 1
0.8%
152.3 1
0.8%
149.3 1
0.8%
147.7 1
0.8%
146.0 1
0.8%
145.2 1
0.8%

출하지수(2018-04)
Real number (ℝ)

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.96371
Minimum53.1
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:02.749952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.1
5-th percentile69.49
Q193.6
median104
Q3119.375
95-th percentile137.48
Maximum193
Range139.9
Interquartile range (IQR)25.775

Descriptive statistics

Standard deviation25.004241
Coefficient of variation (CV)0.23376378
Kurtosis2.8952009
Mean106.96371
Median Absolute Deviation (MAD)13.05
Skewness1.0265321
Sum13263.5
Variance625.21209
MonotonicityNot monotonic
2023-12-12T10:05:02.960610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131.2 3
 
2.4%
99.6 2
 
1.6%
100.8 2
 
1.6%
93.6 2
 
1.6%
110.4 2
 
1.6%
102.7 2
 
1.6%
193.0 2
 
1.6%
90.7 2
 
1.6%
102.4 2
 
1.6%
100.5 2
 
1.6%
Other values (101) 103
83.1%
ValueCountFrequency (%)
53.1 1
0.8%
57.3 1
0.8%
57.7 1
0.8%
57.9 1
0.8%
64.9 1
0.8%
67.4 1
0.8%
68.5 1
0.8%
75.1 1
0.8%
76.6 1
0.8%
76.8 1
0.8%
ValueCountFrequency (%)
193.0 2
1.6%
192.5 1
0.8%
192.4 1
0.8%
155.1 1
0.8%
139.3 1
0.8%
137.9 1
0.8%
135.1 1
0.8%
135.0 1
0.8%
134.2 1
0.8%
132.4 1
0.8%

출하지수(2018-05)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.86935
Minimum51.1
Maximum182.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:03.190590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.1
5-th percentile74.78
Q195.25
median106.9
Q3126.325
95-th percentile149.59
Maximum182.5
Range131.4
Interquartile range (IQR)31.075

Descriptive statistics

Standard deviation23.145511
Coefficient of variation (CV)0.21259895
Kurtosis0.99756284
Mean108.86935
Median Absolute Deviation (MAD)13
Skewness0.32862238
Sum13499.8
Variance535.71466
MonotonicityNot monotonic
2023-12-12T10:05:03.439258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130.0 3
 
2.4%
100.3 2
 
1.6%
182.5 2
 
1.6%
56.8 2
 
1.6%
101.4 2
 
1.6%
152.5 2
 
1.6%
101.3 2
 
1.6%
130.3 2
 
1.6%
107.2 2
 
1.6%
81.5 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
51.1 1
0.8%
51.5 1
0.8%
56.8 2
1.6%
68.6 1
0.8%
72.7 1
0.8%
74.3 1
0.8%
77.5 1
0.8%
77.8 1
0.8%
80.2 1
0.8%
80.3 1
0.8%
ValueCountFrequency (%)
182.5 2
1.6%
155.9 1
0.8%
152.5 2
1.6%
152.4 1
0.8%
150.7 1
0.8%
143.3 1
0.8%
142.7 1
0.8%
142.0 1
0.8%
139.2 1
0.8%
137.1 1
0.8%

출하지수(2018-06)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.78226
Minimum46.6
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:04.057795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.6
5-th percentile67.92
Q195.45
median105.4
Q3124.175
95-th percentile166.33
Maximum194
Range147.4
Interquartile range (IQR)28.725

Descriptive statistics

Standard deviation27.429256
Coefficient of variation (CV)0.24985144
Kurtosis1.4775341
Mean109.78226
Median Absolute Deviation (MAD)14.15
Skewness0.82395361
Sum13613
Variance752.36407
MonotonicityNot monotonic
2023-12-12T10:05:04.257254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.1 4
 
3.2%
108.4 3
 
2.4%
111.6 3
 
2.4%
101.1 2
 
1.6%
128.4 2
 
1.6%
64.8 2
 
1.6%
109.7 2
 
1.6%
93.5 2
 
1.6%
95.6 2
 
1.6%
185.7 2
 
1.6%
Other values (97) 100
80.6%
ValueCountFrequency (%)
46.6 1
0.8%
51.8 1
0.8%
59.6 1
0.8%
59.7 1
0.8%
64.8 2
1.6%
67.5 1
0.8%
70.3 1
0.8%
74.5 1
0.8%
75.4 1
0.8%
78.8 1
0.8%
ValueCountFrequency (%)
194.0 1
0.8%
185.7 2
1.6%
185.2 1
0.8%
185.0 1
0.8%
179.9 1
0.8%
166.9 1
0.8%
163.1 1
0.8%
158.0 1
0.8%
151.3 1
0.8%
144.8 1
0.8%

출하지수(2018-07)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.87581
Minimum47.6
Maximum175.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:04.442548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.6
5-th percentile65.345
Q192.9
median102.3
Q3116.5
95-th percentile149.135
Maximum175.2
Range127.6
Interquartile range (IQR)23.6

Descriptive statistics

Standard deviation23.037733
Coefficient of variation (CV)0.2196668
Kurtosis1.2457461
Mean104.87581
Median Absolute Deviation (MAD)10.9
Skewness0.49013508
Sum13004.6
Variance530.73713
MonotonicityNot monotonic
2023-12-12T10:05:04.613486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.5 4
 
3.2%
94.7 3
 
2.4%
116.8 2
 
1.6%
175.2 2
 
1.6%
57.9 2
 
1.6%
102.1 2
 
1.6%
101.9 2
 
1.6%
157.7 2
 
1.6%
94.0 2
 
1.6%
103.6 2
 
1.6%
Other values (100) 101
81.5%
ValueCountFrequency (%)
47.6 1
0.8%
52.3 1
0.8%
57.0 1
0.8%
57.9 2
1.6%
63.1 1
0.8%
64.7 1
0.8%
69.0 1
0.8%
78.2 1
0.8%
78.8 1
0.8%
79.2 1
0.8%
ValueCountFrequency (%)
175.2 2
1.6%
162.7 1
0.8%
157.7 2
1.6%
157.1 1
0.8%
149.9 1
0.8%
144.8 1
0.8%
139.9 1
0.8%
138.6 1
0.8%
138.1 1
0.8%
133.9 1
0.8%

출하지수(2018-08)
Real number (ℝ)

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.97258
Minimum43.2
Maximum330.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:04.757229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.2
5-th percentile59.185
Q188.025
median95.65
Q3110.1
95-th percentile160.58
Maximum330.2
Range287
Interquartile range (IQR)22.075

Descriptive statistics

Standard deviation38.085685
Coefficient of variation (CV)0.36630509
Kurtosis18.83732
Mean103.97258
Median Absolute Deviation (MAD)10.45
Skewness3.5312964
Sum12892.6
Variance1450.5194
MonotonicityNot monotonic
2023-12-12T10:05:04.892340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.9 3
 
2.4%
92.8 3
 
2.4%
92.3 2
 
1.6%
93.3 2
 
1.6%
98.1 2
 
1.6%
94.2 2
 
1.6%
92.9 2
 
1.6%
100.0 2
 
1.6%
161.2 2
 
1.6%
93.6 2
 
1.6%
Other values (101) 102
82.3%
ValueCountFrequency (%)
43.2 1
0.8%
46.7 1
0.8%
52.4 1
0.8%
52.7 1
0.8%
54.1 1
0.8%
57.8 1
0.8%
58.3 1
0.8%
64.2 1
0.8%
71.4 1
0.8%
73.6 1
0.8%
ValueCountFrequency (%)
330.2 1
0.8%
330.1 1
0.8%
170.3 1
0.8%
165.6 1
0.8%
161.2 2
1.6%
161.0 1
0.8%
158.2 1
0.8%
153.7 1
0.8%
152.4 1
0.8%
150.2 1
0.8%

출하지수(2018-09)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.19839
Minimum47.1
Maximum182.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:05.061890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.1
5-th percentile62.65
Q185.925
median96.85
Q3109.55
95-th percentile156.695
Maximum182.8
Range135.7
Interquartile range (IQR)23.625

Descriptive statistics

Standard deviation25.653941
Coefficient of variation (CV)0.25603148
Kurtosis1.0880882
Mean100.19839
Median Absolute Deviation (MAD)11.3
Skewness0.8093319
Sum12424.6
Variance658.12471
MonotonicityNot monotonic
2023-12-12T10:05:05.239333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.0 4
 
3.2%
105.2 3
 
2.4%
91.2 3
 
2.4%
95.2 2
 
1.6%
98.5 2
 
1.6%
162.4 2
 
1.6%
108.0 2
 
1.6%
160.6 2
 
1.6%
89.5 2
 
1.6%
91.1 2
 
1.6%
Other values (100) 100
80.6%
ValueCountFrequency (%)
47.1 1
0.8%
51.9 1
0.8%
53.2 1
0.8%
53.4 1
0.8%
54.8 1
0.8%
57.5 1
0.8%
62.5 1
0.8%
63.5 1
0.8%
66.2 1
0.8%
70.1 1
0.8%
ValueCountFrequency (%)
182.8 1
0.8%
174.3 1
0.8%
162.4 2
1.6%
160.6 2
1.6%
158.9 1
0.8%
144.2 1
0.8%
144.1 1
0.8%
142.8 1
0.8%
141.8 1
0.8%
140.6 1
0.8%

출하지수(2018-10)
Real number (ℝ)

Distinct106
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.80161
Minimum44.7
Maximum188.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:05.439222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.7
5-th percentile66.81
Q195.95
median106.45
Q3121.025
95-th percentile155.13
Maximum188.1
Range143.4
Interquartile range (IQR)25.075

Descriptive statistics

Standard deviation25.281546
Coefficient of variation (CV)0.23236371
Kurtosis1.0399667
Mean108.80161
Median Absolute Deviation (MAD)12.05
Skewness0.46932986
Sum13491.4
Variance639.15658
MonotonicityNot monotonic
2023-12-12T10:05:05.641062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.2 3
 
2.4%
106.8 3
 
2.4%
162.3 2
 
1.6%
99.3 2
 
1.6%
138.0 2
 
1.6%
108.9 2
 
1.6%
128.5 2
 
1.6%
109.0 2
 
1.6%
97.9 2
 
1.6%
106.0 2
 
1.6%
Other values (96) 102
82.3%
ValueCountFrequency (%)
44.7 1
0.8%
51.7 1
0.8%
55.2 1
0.8%
60.5 1
0.8%
60.6 1
0.8%
60.9 1
0.8%
66.6 1
0.8%
68.0 1
0.8%
73.2 1
0.8%
80.6 1
0.8%
ValueCountFrequency (%)
188.1 1
0.8%
177.6 1
0.8%
177.5 1
0.8%
162.5 1
0.8%
162.3 2
1.6%
155.7 1
0.8%
151.9 1
0.8%
149.8 1
0.8%
147.2 1
0.8%
146.7 1
0.8%

출하지수(2018-11)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.38871
Minimum46.8
Maximum159.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:05.832153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.8
5-th percentile62.805
Q194.575
median103.65
Q3116.625
95-th percentile147.37
Maximum159.2
Range112.4
Interquartile range (IQR)22.05

Descriptive statistics

Standard deviation21.810045
Coefficient of variation (CV)0.2069486
Kurtosis0.7854573
Mean105.38871
Median Absolute Deviation (MAD)11.25
Skewness-0.0019075334
Sum13068.2
Variance475.67808
MonotonicityNot monotonic
2023-12-12T10:05:06.064034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.6 6
 
4.8%
109.4 3
 
2.4%
100.8 2
 
1.6%
126.3 2
 
1.6%
118.9 2
 
1.6%
116.7 2
 
1.6%
100.2 2
 
1.6%
105.6 2
 
1.6%
124.7 2
 
1.6%
107.2 2
 
1.6%
Other values (98) 99
79.8%
ValueCountFrequency (%)
46.8 1
0.8%
47.0 1
0.8%
56.2 1
0.8%
60.8 1
0.8%
61.0 1
0.8%
62.6 1
0.8%
62.7 1
0.8%
63.4 1
0.8%
63.8 1
0.8%
76.8 1
0.8%
ValueCountFrequency (%)
159.2 1
0.8%
159.1 1
0.8%
153.3 1
0.8%
152.4 1
0.8%
151.4 1
0.8%
150.4 1
0.8%
148.0 1
0.8%
143.8 1
0.8%
142.4 1
0.8%
138.9 1
0.8%

출하지수(2018-12)
Real number (ℝ)

Distinct104
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.78306
Minimum42.1
Maximum270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:06.254970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.1
5-th percentile68.83
Q191.925
median106.1
Q3120.4
95-th percentile146.785
Maximum270
Range227.9
Interquartile range (IQR)28.475

Descriptive statistics

Standard deviation30.278949
Coefficient of variation (CV)0.27834249
Kurtosis11.547371
Mean108.78306
Median Absolute Deviation (MAD)14.3
Skewness2.2928342
Sum13489.1
Variance916.81475
MonotonicityNot monotonic
2023-12-12T10:05:06.422092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120.1 3
 
2.4%
102.4 3
 
2.4%
120.4 3
 
2.4%
120.0 2
 
1.6%
112.9 2
 
1.6%
106.0 2
 
1.6%
146.8 2
 
1.6%
102.6 2
 
1.6%
126.2 2
 
1.6%
137.8 2
 
1.6%
Other values (94) 101
81.5%
ValueCountFrequency (%)
42.1 1
0.8%
55.5 1
0.8%
59.6 1
0.8%
60.1 1
0.8%
61.8 1
0.8%
68.1 1
0.8%
68.5 1
0.8%
70.7 1
0.8%
72.5 1
0.8%
74.9 1
0.8%
ValueCountFrequency (%)
270.0 1
0.8%
269.9 1
0.8%
153.2 2
1.6%
148.7 1
0.8%
146.8 2
1.6%
146.7 1
0.8%
145.3 1
0.8%
142.9 1
0.8%
140.1 1
0.8%
139.9 1
0.8%

출하지수(2019-01)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.80806
Minimum42.8
Maximum202.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:06.599159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.8
5-th percentile63.31
Q188.775
median100.25
Q3112.7
95-th percentile129.07
Maximum202.3
Range159.5
Interquartile range (IQR)23.925

Descriptive statistics

Standard deviation22.361504
Coefficient of variation (CV)0.22182257
Kurtosis3.6983849
Mean100.80806
Median Absolute Deviation (MAD)12.25
Skewness0.80342493
Sum12500.2
Variance500.03685
MonotonicityNot monotonic
2023-12-12T10:05:06.782219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.5 2
 
1.6%
106.9 2
 
1.6%
95.3 2
 
1.6%
112.7 2
 
1.6%
94.4 2
 
1.6%
63.1 2
 
1.6%
99.6 2
 
1.6%
103.2 2
 
1.6%
103.5 2
 
1.6%
62.6 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
42.8 1
0.8%
46.9 1
0.8%
57.5 1
0.8%
59.4 1
0.8%
62.6 1
0.8%
63.1 2
1.6%
64.5 1
0.8%
67.4 1
0.8%
68.8 1
0.8%
71.4 1
0.8%
ValueCountFrequency (%)
202.3 1
0.8%
175.8 1
0.8%
156.2 1
0.8%
138.4 1
0.8%
135.6 1
0.8%
134.7 1
0.8%
129.1 1
0.8%
128.9 1
0.8%
128.0 1
0.8%
127.3 1
0.8%

출하지수(2019-02)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.883065
Minimum42.7
Maximum198.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:06.973560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.7
5-th percentile55.73
Q178.35
median88.5
Q397.75
95-th percentile123.335
Maximum198.8
Range156.1
Interquartile range (IQR)19.4

Descriptive statistics

Standard deviation26.098474
Coefficient of variation (CV)0.28716543
Kurtosis6.5744285
Mean90.883065
Median Absolute Deviation (MAD)10
Skewness2.0165915
Sum11269.5
Variance681.13036
MonotonicityNot monotonic
2023-12-12T10:05:07.164542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.9 2
 
1.6%
77.1 2
 
1.6%
87.5 2
 
1.6%
77.2 2
 
1.6%
95.7 2
 
1.6%
89.8 2
 
1.6%
88.4 2
 
1.6%
85.6 2
 
1.6%
91.0 2
 
1.6%
103.7 2
 
1.6%
Other values (103) 104
83.9%
ValueCountFrequency (%)
42.7 1
0.8%
45.5 1
0.8%
46.3 1
0.8%
51.5 1
0.8%
53.8 1
0.8%
55.0 1
0.8%
55.7 1
0.8%
55.9 1
0.8%
57.7 1
0.8%
58.8 1
0.8%
ValueCountFrequency (%)
198.8 1
0.8%
195.9 1
0.8%
189.2 1
0.8%
187.0 1
0.8%
174.0 1
0.8%
143.6 1
0.8%
123.8 1
0.8%
120.7 1
0.8%
117.6 1
0.8%
112.9 1
0.8%

출하지수(2019-03)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.48629
Minimum48.5
Maximum229.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:07.350026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.5
5-th percentile69.175
Q194.275
median106.35
Q3116.275
95-th percentile161.73
Maximum229.7
Range181.2
Interquartile range (IQR)22

Descriptive statistics

Standard deviation30.657991
Coefficient of variation (CV)0.27748231
Kurtosis5.5886787
Mean110.48629
Median Absolute Deviation (MAD)11.9
Skewness1.9524242
Sum13700.3
Variance939.91241
MonotonicityNot monotonic
2023-12-12T10:05:07.533381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.0 3
 
2.4%
115.7 2
 
1.6%
113.5 2
 
1.6%
111.2 2
 
1.6%
99.2 2
 
1.6%
105.3 2
 
1.6%
90.1 2
 
1.6%
118.7 2
 
1.6%
110.6 2
 
1.6%
92.9 2
 
1.6%
Other values (100) 103
83.1%
ValueCountFrequency (%)
48.5 1
0.8%
56.9 1
0.8%
64.0 1
0.8%
66.7 1
0.8%
66.8 1
0.8%
67.1 1
0.8%
68.8 1
0.8%
71.3 1
0.8%
74.6 1
0.8%
78.2 1
0.8%
ValueCountFrequency (%)
229.7 1
0.8%
227.0 1
0.8%
221.0 1
0.8%
218.6 1
0.8%
205.4 1
0.8%
202.8 1
0.8%
162.9 1
0.8%
155.1 1
0.8%
147.6 1
0.8%
147.4 1
0.8%

출하지수(2019-04)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.15161
Minimum44.7
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:07.724704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.7
5-th percentile68.46
Q193.725
median104.4
Q3111.925
95-th percentile154.565
Maximum246
Range201.3
Interquartile range (IQR)18.2

Descriptive statistics

Standard deviation29.084736
Coefficient of variation (CV)0.27143535
Kurtosis7.6526645
Mean107.15161
Median Absolute Deviation (MAD)9.7
Skewness2.15186
Sum13286.8
Variance845.92187
MonotonicityNot monotonic
2023-12-12T10:05:07.917228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.7 3
 
2.4%
85.3 2
 
1.6%
117.0 2
 
1.6%
94.7 2
 
1.6%
105.5 2
 
1.6%
91.8 2
 
1.6%
104.5 2
 
1.6%
102.9 2
 
1.6%
110.1 2
 
1.6%
111.1 2
 
1.6%
Other values (103) 103
83.1%
ValueCountFrequency (%)
44.7 1
0.8%
61.0 1
0.8%
63.2 1
0.8%
66.7 1
0.8%
67.9 1
0.8%
68.0 1
0.8%
68.1 1
0.8%
70.5 1
0.8%
70.8 1
0.8%
72.4 1
0.8%
ValueCountFrequency (%)
246.0 1
0.8%
234.0 1
0.8%
215.5 1
0.8%
186.0 1
0.8%
176.4 1
0.8%
162.8 1
0.8%
155.3 1
0.8%
150.4 1
0.8%
149.8 1
0.8%
138.3 1
0.8%

출하지수(2019-05)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.82339
Minimum44.4
Maximum234.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:08.143549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.4
5-th percentile70.995
Q196.9
median106.4
Q3114.4
95-th percentile155.645
Maximum234.9
Range190.5
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation28.926262
Coefficient of variation (CV)0.26580924
Kurtosis6.66392
Mean108.82339
Median Absolute Deviation (MAD)8.8
Skewness2.0184331
Sum13494.1
Variance836.72864
MonotonicityNot monotonic
2023-12-12T10:05:08.363460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.2 4
 
3.2%
101.9 2
 
1.6%
101.8 2
 
1.6%
113.8 2
 
1.6%
107.7 2
 
1.6%
108.7 2
 
1.6%
123.6 2
 
1.6%
103.5 2
 
1.6%
108.4 2
 
1.6%
109.6 2
 
1.6%
Other values (98) 102
82.3%
ValueCountFrequency (%)
44.4 1
0.8%
60.7 1
0.8%
63.4 1
0.8%
66.2 1
0.8%
67.9 1
0.8%
70.7 1
0.8%
70.8 1
0.8%
72.1 1
0.8%
72.3 1
0.8%
76.2 1
0.8%
ValueCountFrequency (%)
234.9 1
0.8%
223.6 1
0.8%
214.6 1
0.8%
207.2 1
0.8%
205.5 1
0.8%
158.2 1
0.8%
157.1 1
0.8%
147.4 1
0.8%
142.7 1
0.8%
140.9 1
0.8%

출하지수(2019-06)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.75645
Minimum43.1
Maximum258.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:08.562596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.1
5-th percentile67.495
Q191.75
median103.75
Q3115.325
95-th percentile160.08
Maximum258.7
Range215.6
Interquartile range (IQR)23.575

Descriptive statistics

Standard deviation30.477328
Coefficient of variation (CV)0.28548465
Kurtosis7.7747341
Mean106.75645
Median Absolute Deviation (MAD)11.9
Skewness2.0914846
Sum13237.8
Variance928.86752
MonotonicityNot monotonic
2023-12-12T10:05:09.146089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.7 3
 
2.4%
111.0 2
 
1.6%
106.0 2
 
1.6%
105.3 2
 
1.6%
106.6 2
 
1.6%
109.9 2
 
1.6%
124.9 2
 
1.6%
95.0 2
 
1.6%
111.4 2
 
1.6%
71.2 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
43.1 1
0.8%
57.1 1
0.8%
58.5 1
0.8%
64.1 1
0.8%
64.6 1
0.8%
65.9 1
0.8%
67.3 1
0.8%
68.6 1
0.8%
70.0 1
0.8%
70.8 1
0.8%
ValueCountFrequency (%)
258.7 1
0.8%
229.8 1
0.8%
226.4 1
0.8%
178.8 1
0.8%
172.1 1
0.8%
163.6 1
0.8%
161.4 1
0.8%
152.6 1
0.8%
142.1 1
0.8%
140.0 1
0.8%

출하지수(2019-07)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.79435
Minimum44.2
Maximum238.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:09.345995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.2
5-th percentile66.595
Q190.7
median103.8
Q3111.75
95-th percentile169.29
Maximum238.5
Range194.3
Interquartile range (IQR)21.05

Descriptive statistics

Standard deviation31.072238
Coefficient of variation (CV)0.29095393
Kurtosis5.4847595
Mean106.79435
Median Absolute Deviation (MAD)10.1
Skewness1.8904845
Sum13242.5
Variance965.48395
MonotonicityNot monotonic
2023-12-12T10:05:09.554528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.9 2
 
1.6%
110.2 2
 
1.6%
95.4 2
 
1.6%
107.1 2
 
1.6%
96.4 2
 
1.6%
95.5 2
 
1.6%
104.8 2
 
1.6%
109.1 2
 
1.6%
105.9 2
 
1.6%
90.7 2
 
1.6%
Other values (102) 104
83.9%
ValueCountFrequency (%)
44.2 1
0.8%
52.2 1
0.8%
60.1 1
0.8%
61.6 1
0.8%
63.3 1
0.8%
64.0 1
0.8%
66.4 1
0.8%
67.7 1
0.8%
70.5 1
0.8%
71.3 1
0.8%
ValueCountFrequency (%)
238.5 1
0.8%
226.4 1
0.8%
215.4 1
0.8%
210.0 1
0.8%
196.2 1
0.8%
172.2 1
0.8%
169.8 1
0.8%
166.4 1
0.8%
147.4 2
1.6%
144.3 1
0.8%

출하지수(2019-08)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.41935
Minimum42.3
Maximum275.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:09.782676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.3
5-th percentile62.52
Q183.55
median92.9
Q3108.25
95-th percentile145.925
Maximum275.2
Range232.9
Interquartile range (IQR)24.7

Descriptive statistics

Standard deviation35.548253
Coefficient of variation (CV)0.35399803
Kurtosis9.8452746
Mean100.41935
Median Absolute Deviation (MAD)11.2
Skewness2.7461475
Sum12452
Variance1263.6783
MonotonicityNot monotonic
2023-12-12T10:05:09.974328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.6 2
 
1.6%
77.7 2
 
1.6%
96.8 2
 
1.6%
92.2 2
 
1.6%
89.9 2
 
1.6%
86.6 2
 
1.6%
86.9 2
 
1.6%
98.9 2
 
1.6%
94.8 2
 
1.6%
92.9 2
 
1.6%
Other values (100) 104
83.9%
ValueCountFrequency (%)
42.3 1
0.8%
51.5 1
0.8%
55.6 1
0.8%
56.1 1
0.8%
60.4 1
0.8%
60.5 1
0.8%
62.4 1
0.8%
63.2 1
0.8%
64.7 1
0.8%
65.4 1
0.8%
ValueCountFrequency (%)
275.2 1
0.8%
256.7 1
0.8%
244.2 1
0.8%
231.2 1
0.8%
191.5 1
0.8%
178.1 1
0.8%
146.0 1
0.8%
145.5 1
0.8%
139.4 1
0.8%
135.8 1
0.8%

출하지수(2019-09)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.82419
Minimum45.1
Maximum309.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:10.167394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.1
5-th percentile66.02
Q186.2
median95.75
Q3109.8
95-th percentile156.895
Maximum309.5
Range264.4
Interquartile range (IQR)23.6

Descriptive statistics

Standard deviation35.252207
Coefficient of variation (CV)0.34283962
Kurtosis11.895149
Mean102.82419
Median Absolute Deviation (MAD)12.1
Skewness2.82842
Sum12750.2
Variance1242.7181
MonotonicityNot monotonic
2023-12-12T10:05:10.427072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.4 2
 
1.6%
87.4 2
 
1.6%
100.8 2
 
1.6%
112.1 2
 
1.6%
99.7 2
 
1.6%
95.2 2
 
1.6%
88.2 2
 
1.6%
90.4 2
 
1.6%
102.5 2
 
1.6%
115.8 2
 
1.6%
Other values (102) 104
83.9%
ValueCountFrequency (%)
45.1 1
0.8%
54.0 1
0.8%
55.5 1
0.8%
57.5 1
0.8%
60.9 1
0.8%
64.5 1
0.8%
65.9 1
0.8%
66.7 1
0.8%
68.0 1
0.8%
68.8 1
0.8%
ValueCountFrequency (%)
309.5 1
0.8%
250.9 1
0.8%
214.4 1
0.8%
197.2 1
0.8%
188.3 1
0.8%
179.2 1
0.8%
157.0 1
0.8%
156.3 1
0.8%
153.5 1
0.8%
149.3 1
0.8%

출하지수(2019-10)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.75806
Minimum37.9
Maximum281.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:10.659982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.9
5-th percentile70.595
Q194.875
median103.35
Q3114.275
95-th percentile190.31
Maximum281.4
Range243.5
Interquartile range (IQR)19.4

Descriptive statistics

Standard deviation35.812679
Coefficient of variation (CV)0.32628745
Kurtosis8.2286105
Mean109.75806
Median Absolute Deviation (MAD)10.7
Skewness2.4361532
Sum13610
Variance1282.548
MonotonicityNot monotonic
2023-12-12T10:05:10.845643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.4 3
 
2.4%
77.5 3
 
2.4%
116.5 2
 
1.6%
92.6 2
 
1.6%
105.7 2
 
1.6%
114.5 2
 
1.6%
97.2 2
 
1.6%
106.5 2
 
1.6%
95.5 2
 
1.6%
101.2 2
 
1.6%
Other values (100) 102
82.3%
ValueCountFrequency (%)
37.9 1
 
0.8%
44.6 1
 
0.8%
62.5 1
 
0.8%
65.4 1
 
0.8%
66.5 1
 
0.8%
69.6 1
 
0.8%
70.4 1
 
0.8%
71.7 1
 
0.8%
73.7 1
 
0.8%
77.5 3
2.4%
ValueCountFrequency (%)
281.4 1
0.8%
259.3 1
0.8%
246.7 1
0.8%
227.2 1
0.8%
198.5 1
0.8%
198.1 1
0.8%
196.4 1
0.8%
155.8 1
0.8%
150.1 1
0.8%
145.8 1
0.8%

출하지수(2019-11)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.46613
Minimum39.7
Maximum279.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:11.013425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.7
5-th percentile68.2
Q192.425
median101.7
Q3113.325
95-th percentile161.94
Maximum279.1
Range239.4
Interquartile range (IQR)20.9

Descriptive statistics

Standard deviation31.122117
Coefficient of variation (CV)0.28959931
Kurtosis8.8389544
Mean107.46613
Median Absolute Deviation (MAD)10.35
Skewness2.2256327
Sum13325.8
Variance968.58616
MonotonicityNot monotonic
2023-12-12T10:05:11.228367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.8 3
 
2.4%
101.2 2
 
1.6%
138.8 2
 
1.6%
96.6 2
 
1.6%
68.2 2
 
1.6%
100.4 2
 
1.6%
99.1 2
 
1.6%
86.2 2
 
1.6%
100.9 2
 
1.6%
224.3 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
39.7 1
0.8%
59.9 1
0.8%
60.2 1
0.8%
62.9 1
0.8%
63.7 1
0.8%
65.0 1
0.8%
68.2 2
1.6%
70.8 1
0.8%
74.0 1
0.8%
77.8 1
0.8%
ValueCountFrequency (%)
279.1 1
0.8%
224.3 1
0.8%
200.4 1
0.8%
189.8 1
0.8%
184.1 1
0.8%
175.2 1
0.8%
163.5 1
0.8%
153.1 1
0.8%
146.4 1
0.8%
138.8 2
1.6%

출하지수(2019-12)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.69032
Minimum36.6
Maximum413.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:11.433611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.6
5-th percentile73.23
Q196.325
median110.35
Q3131.825
95-th percentile199.9
Maximum413.3
Range376.7
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation51.734056
Coefficient of variation (CV)0.42865124
Kurtosis14.523174
Mean120.69032
Median Absolute Deviation (MAD)17.8
Skewness3.2603178
Sum14965.6
Variance2676.4126
MonotonicityNot monotonic
2023-12-12T10:05:11.657892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.1 3
 
2.4%
97.1 2
 
1.6%
104.6 2
 
1.6%
119.9 2
 
1.6%
92.8 2
 
1.6%
199.9 2
 
1.6%
105.9 2
 
1.6%
122.7 2
 
1.6%
89.7 2
 
1.6%
77.2 2
 
1.6%
Other values (103) 103
83.1%
ValueCountFrequency (%)
36.6 1
0.8%
45.7 1
0.8%
59.7 1
0.8%
63.0 1
0.8%
67.9 1
0.8%
73.0 1
0.8%
73.2 1
0.8%
73.4 1
0.8%
77.2 2
1.6%
79.2 1
0.8%
ValueCountFrequency (%)
413.3 1
0.8%
393.1 1
0.8%
293.4 1
0.8%
274.6 1
0.8%
231.2 1
0.8%
200.8 1
0.8%
199.9 2
1.6%
192.5 1
0.8%
172.4 1
0.8%
163.8 1
0.8%

출하지수(2020-01)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.46129
Minimum37.8
Maximum238.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:11.880502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.8
5-th percentile55.415
Q179.75
median92.1
Q3104.325
95-th percentile143.07
Maximum238.1
Range200.3
Interquartile range (IQR)24.575

Descriptive statistics

Standard deviation28.822041
Coefficient of variation (CV)0.30512013
Kurtosis6.7529241
Mean94.46129
Median Absolute Deviation (MAD)12.4
Skewness1.8105181
Sum11713.2
Variance830.71003
MonotonicityNot monotonic
2023-12-12T10:05:12.073587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.2 3
 
2.4%
102.5 2
 
1.6%
78.7 2
 
1.6%
85.5 2
 
1.6%
108.8 2
 
1.6%
96.3 2
 
1.6%
81.8 2
 
1.6%
107.7 1
 
0.8%
90.9 1
 
0.8%
46.1 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
37.8 1
0.8%
41.2 1
0.8%
44.5 1
0.8%
46.0 1
0.8%
46.1 1
0.8%
50.3 1
0.8%
55.4 1
0.8%
55.5 1
0.8%
55.9 1
0.8%
57.8 1
0.8%
ValueCountFrequency (%)
238.1 1
0.8%
205.6 1
0.8%
189.7 1
0.8%
172.5 1
0.8%
157.1 1
0.8%
155.6 1
0.8%
144.3 1
0.8%
136.1 1
0.8%
127.6 1
0.8%
118.5 1
0.8%

출하지수(2020-02)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.374194
Minimum46.3
Maximum244.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:12.293850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.3
5-th percentile57.88
Q180.95
median94.3
Q3106.55
95-th percentile142.475
Maximum244.8
Range198.5
Interquartile range (IQR)25.6

Descriptive statistics

Standard deviation30.659562
Coefficient of variation (CV)0.31486332
Kurtosis7.8554713
Mean97.374194
Median Absolute Deviation (MAD)13.25
Skewness2.2296009
Sum12074.4
Variance940.00876
MonotonicityNot monotonic
2023-12-12T10:05:12.511747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.4 3
 
2.4%
92.3 2
 
1.6%
118.9 2
 
1.6%
83.2 2
 
1.6%
99.1 2
 
1.6%
99.6 2
 
1.6%
102.6 2
 
1.6%
102.3 1
 
0.8%
72.1 1
 
0.8%
113.5 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
46.3 1
0.8%
46.7 1
0.8%
48.2 1
0.8%
49.0 1
0.8%
49.6 1
0.8%
56.6 1
0.8%
57.4 1
0.8%
60.6 1
0.8%
61.1 1
0.8%
68.7 1
0.8%
ValueCountFrequency (%)
244.8 1
0.8%
222.7 1
0.8%
213.3 1
0.8%
205.1 1
0.8%
170.4 1
0.8%
157.6 1
0.8%
144.2 1
0.8%
132.7 1
0.8%
128.7 1
0.8%
121.5 1
0.8%

출하지수(2020-03)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.20726
Minimum51.4
Maximum317.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:12.674541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.4
5-th percentile66.7
Q197.675
median109
Q3125.85
95-th percentile175.63
Maximum317.9
Range266.5
Interquartile range (IQR)28.175

Descriptive statistics

Standard deviation39.499944
Coefficient of variation (CV)0.34285985
Kurtosis8.7831021
Mean115.20726
Median Absolute Deviation (MAD)14.25
Skewness2.3289864
Sum14285.7
Variance1560.2456
MonotonicityNot monotonic
2023-12-12T10:05:12.866708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.2 2
 
1.6%
98.0 2
 
1.6%
92.8 2
 
1.6%
159.4 2
 
1.6%
118.7 2
 
1.6%
97.7 2
 
1.6%
105.5 2
 
1.6%
123.2 1
 
0.8%
122.3 1
 
0.8%
131.4 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
51.4 1
0.8%
54.7 1
0.8%
56.2 1
0.8%
57.3 1
0.8%
59.4 1
0.8%
60.0 1
0.8%
66.4 1
0.8%
68.4 1
0.8%
70.4 1
0.8%
70.8 1
0.8%
ValueCountFrequency (%)
317.9 1
0.8%
286.4 1
0.8%
263.8 1
0.8%
207.4 1
0.8%
204.6 1
0.8%
202.3 1
0.8%
176.5 1
0.8%
170.7 1
0.8%
159.4 2
1.6%
154.0 1
0.8%

출하지수(2020-04)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.745968
Minimum42.8
Maximum232.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:13.049360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.8
5-th percentile56.62
Q178.6
median95.45
Q3112.225
95-th percentile160.56
Maximum232.8
Range190
Interquartile range (IQR)33.625

Descriptive statistics

Standard deviation32.98702
Coefficient of variation (CV)0.33071031
Kurtosis3.0488232
Mean99.745968
Median Absolute Deviation (MAD)16.9
Skewness1.3688236
Sum12368.5
Variance1088.1435
MonotonicityNot monotonic
2023-12-12T10:05:13.248155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.5 2
 
1.6%
110.8 2
 
1.6%
82.2 2
 
1.6%
91.5 2
 
1.6%
95.3 2
 
1.6%
85.5 2
 
1.6%
175.6 2
 
1.6%
104.3 2
 
1.6%
111.6 2
 
1.6%
79.0 2
 
1.6%
Other values (104) 104
83.9%
ValueCountFrequency (%)
42.8 1
0.8%
47.0 1
0.8%
48.5 1
0.8%
49.5 1
0.8%
51.9 1
0.8%
54.8 1
0.8%
56.2 1
0.8%
59.0 1
0.8%
60.3 1
0.8%
60.7 1
0.8%
ValueCountFrequency (%)
232.8 1
0.8%
218.4 1
0.8%
201.2 1
0.8%
176.4 1
0.8%
175.6 2
1.6%
160.8 1
0.8%
159.2 1
0.8%
155.4 1
0.8%
154.6 1
0.8%
146.5 1
0.8%

출하지수(2020-05)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.357258
Minimum38.6
Maximum264.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:13.441295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.6
5-th percentile50.47
Q173.125
median91.5
Q3107.3
95-th percentile154.135
Maximum264.5
Range225.9
Interquartile range (IQR)34.175

Descriptive statistics

Standard deviation31.754268
Coefficient of variation (CV)0.34013711
Kurtosis6.3228938
Mean93.357258
Median Absolute Deviation (MAD)16.85
Skewness1.6992126
Sum11576.3
Variance1008.3335
MonotonicityNot monotonic
2023-12-12T10:05:13.631428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.2 2
 
1.6%
151.5 2
 
1.6%
99.0 2
 
1.6%
85.5 2
 
1.6%
85.7 2
 
1.6%
108.3 2
 
1.6%
108.0 2
 
1.6%
102.5 2
 
1.6%
93.9 2
 
1.6%
55.5 2
 
1.6%
Other values (102) 104
83.9%
ValueCountFrequency (%)
38.6 1
0.8%
43.0 1
0.8%
48.3 1
0.8%
48.6 1
0.8%
48.9 1
0.8%
49.9 1
0.8%
50.2 1
0.8%
52.0 1
0.8%
55.0 1
0.8%
55.5 2
1.6%
ValueCountFrequency (%)
264.5 1
0.8%
172.5 1
0.8%
171.8 1
0.8%
167.9 1
0.8%
164.4 1
0.8%
160.2 1
0.8%
154.6 1
0.8%
151.5 2
1.6%
133.9 1
0.8%
132.2 1
0.8%

출하지수(2020-06)
Real number (ℝ)

Distinct120
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.22419
Minimum36.9
Maximum312.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:13.814071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.9
5-th percentile59.735
Q180.675
median99.4
Q3118.3
95-th percentile158.8
Maximum312.9
Range276
Interquartile range (IQR)37.625

Descriptive statistics

Standard deviation40.750509
Coefficient of variation (CV)0.38727319
Kurtosis8.2892096
Mean105.22419
Median Absolute Deviation (MAD)18.75
Skewness2.2949098
Sum13047.8
Variance1660.604
MonotonicityNot monotonic
2023-12-12T10:05:14.008725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.8 2
 
1.6%
125.5 2
 
1.6%
93.3 2
 
1.6%
158.8 2
 
1.6%
45.3 1
 
0.8%
72.2 1
 
0.8%
83.6 1
 
0.8%
145.5 1
 
0.8%
200.0 1
 
0.8%
50.5 1
 
0.8%
Other values (110) 110
88.7%
ValueCountFrequency (%)
36.9 1
0.8%
45.3 1
0.8%
50.5 1
0.8%
52.7 1
0.8%
53.6 1
0.8%
57.0 1
0.8%
59.6 1
0.8%
60.5 1
0.8%
61.2 1
0.8%
62.3 1
0.8%
ValueCountFrequency (%)
312.9 1
0.8%
277.7 1
0.8%
255.7 1
0.8%
216.6 1
0.8%
200.0 1
0.8%
180.1 1
0.8%
158.8 2
1.6%
155.3 1
0.8%
148.6 1
0.8%
145.5 1
0.8%

출하지수(2020-07)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.90645
Minimum42.4
Maximum292.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:14.199868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.4
5-th percentile57.915
Q182.325
median98
Q3117.2
95-th percentile172
Maximum292.5
Range250.1
Interquartile range (IQR)34.875

Descriptive statistics

Standard deviation41.71601
Coefficient of variation (CV)0.39389489
Kurtosis7.5608278
Mean105.90645
Median Absolute Deviation (MAD)16.75
Skewness2.3332794
Sum13132.4
Variance1740.2255
MonotonicityNot monotonic
2023-12-12T10:05:14.742763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.2 2
 
1.6%
71.7 2
 
1.6%
116.7 2
 
1.6%
98.0 2
 
1.6%
126.6 2
 
1.6%
85.8 2
 
1.6%
101.2 2
 
1.6%
81.0 2
 
1.6%
82.1 2
 
1.6%
107.8 2
 
1.6%
Other values (102) 104
83.9%
ValueCountFrequency (%)
42.4 1
0.8%
45.9 1
0.8%
51.8 1
0.8%
54.2 1
0.8%
55.4 1
0.8%
56.1 1
0.8%
57.9 1
0.8%
58.0 2
1.6%
64.8 1
0.8%
65.7 1
0.8%
ValueCountFrequency (%)
292.5 1
0.8%
292.4 1
0.8%
269.1 1
0.8%
231.0 1
0.8%
225.1 1
0.8%
173.2 1
0.8%
172.0 2
1.6%
167.2 1
0.8%
159.3 1
0.8%
153.1 1
0.8%

출하지수(2020-08)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.581452
Minimum37.8
Maximum327.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:14.933295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.8
5-th percentile51.68
Q174.275
median87.7
Q3108.7
95-th percentile186.595
Maximum327.5
Range289.7
Interquartile range (IQR)34.425

Descriptive statistics

Standard deviation47.603546
Coefficient of variation (CV)0.48288543
Kurtosis9.249574
Mean98.581452
Median Absolute Deviation (MAD)17.1
Skewness2.6818355
Sum12224.1
Variance2266.0976
MonotonicityNot monotonic
2023-12-12T10:05:15.118787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
155.9 2
 
1.6%
73.9 2
 
1.6%
80.1 2
 
1.6%
119.7 2
 
1.6%
55.0 2
 
1.6%
91.9 2
 
1.6%
71.6 1
 
0.8%
113.5 1
 
0.8%
143.1 1
 
0.8%
119.9 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
37.8 1
0.8%
44.4 1
0.8%
44.9 1
0.8%
45.5 1
0.8%
46.8 1
0.8%
51.3 1
0.8%
51.5 1
0.8%
52.7 1
0.8%
54.7 1
0.8%
55.0 2
1.6%
ValueCountFrequency (%)
327.5 1
0.8%
311.3 1
0.8%
306.6 1
0.8%
214.6 1
0.8%
211.1 1
0.8%
200.3 1
0.8%
187.0 1
0.8%
184.3 1
0.8%
181.7 1
0.8%
155.9 2
1.6%

출하지수(2020-09)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.96371
Minimum38.5
Maximum418.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:15.343300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.5
5-th percentile57.3
Q189.35
median103.55
Q3127.2
95-th percentile200.985
Maximum418.4
Range379.9
Interquartile range (IQR)37.85

Descriptive statistics

Standard deviation49.344359
Coefficient of variation (CV)0.43681603
Kurtosis13.166269
Mean112.96371
Median Absolute Deviation (MAD)18.4
Skewness2.8989497
Sum14007.5
Variance2434.8657
MonotonicityNot monotonic
2023-12-12T10:05:15.561474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2 3
 
2.4%
153.2 2
 
1.6%
100.5 2
 
1.6%
134.2 2
 
1.6%
111.3 2
 
1.6%
57.3 2
 
1.6%
132.5 1
 
0.8%
84.9 1
 
0.8%
128.7 1
 
0.8%
129.3 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
38.5 1
0.8%
52.0 1
0.8%
52.7 1
0.8%
53.2 1
0.8%
56.7 1
0.8%
57.2 1
0.8%
57.3 2
1.6%
57.5 1
0.8%
61.4 1
0.8%
62.5 1
0.8%
ValueCountFrequency (%)
418.4 1
0.8%
278.8 1
0.8%
278.1 1
0.8%
250.5 1
0.8%
239.5 1
0.8%
228.2 1
0.8%
205.5 1
0.8%
175.4 1
0.8%
163.6 1
0.8%
153.2 2
1.6%

출하지수(2020-10)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.51694
Minimum38.5
Maximum375.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:15.760485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.5
5-th percentile57.375
Q185.725
median100.2
Q3117.375
95-th percentile180.585
Maximum375.1
Range336.6
Interquartile range (IQR)31.65

Descriptive statistics

Standard deviation39.863645
Coefficient of variation (CV)0.37779381
Kurtosis16.844663
Mean105.51694
Median Absolute Deviation (MAD)15.7
Skewness2.9757146
Sum13084.1
Variance1589.1102
MonotonicityNot monotonic
2023-12-12T10:05:15.980098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.4 2
 
1.6%
100.4 2
 
1.6%
94.2 2
 
1.6%
104.6 2
 
1.6%
133.0 2
 
1.6%
99.9 2
 
1.6%
100.6 2
 
1.6%
99.6 2
 
1.6%
131.9 2
 
1.6%
102.4 2
 
1.6%
Other values (103) 104
83.9%
ValueCountFrequency (%)
38.5 1
0.8%
47.4 1
0.8%
48.3 1
0.8%
51.8 1
0.8%
52.5 1
0.8%
52.7 1
0.8%
57.3 1
0.8%
57.8 1
0.8%
59.7 1
0.8%
60.9 1
0.8%
ValueCountFrequency (%)
375.1 1
0.8%
225.0 1
0.8%
202.0 1
0.8%
190.3 1
0.8%
190.1 1
0.8%
187.8 1
0.8%
184.5 1
0.8%
158.4 1
0.8%
144.2 1
0.8%
143.5 1
0.8%

출하지수(2020-11)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.64194
Minimum28.2
Maximum404.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:16.173926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.2
5-th percentile60.775
Q191.775
median105.55
Q3122.825
95-th percentile173.755
Maximum404.6
Range376.4
Interquartile range (IQR)31.05

Descriptive statistics

Standard deviation45.791493
Coefficient of variation (CV)0.41016391
Kurtosis15.025138
Mean111.64194
Median Absolute Deviation (MAD)16.85
Skewness2.9904374
Sum13843.6
Variance2096.8608
MonotonicityNot monotonic
2023-12-12T10:05:16.357903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.4 3
 
2.4%
122.6 2
 
1.6%
141.1 2
 
1.6%
98.1 2
 
1.6%
109.0 2
 
1.6%
93.2 2
 
1.6%
99.7 2
 
1.6%
107.7 2
 
1.6%
144.4 2
 
1.6%
70.1 2
 
1.6%
Other values (102) 103
83.1%
ValueCountFrequency (%)
28.2 1
0.8%
48.5 1
0.8%
50.1 1
0.8%
53.3 1
0.8%
54.8 1
0.8%
57.3 1
0.8%
60.7 1
0.8%
61.2 1
0.8%
62.0 1
0.8%
63.2 1
0.8%
ValueCountFrequency (%)
404.6 1
0.8%
276.4 1
0.8%
272.9 1
0.8%
234.1 1
0.8%
199.3 1
0.8%
191.4 1
0.8%
174.1 1
0.8%
171.8 1
0.8%
163.6 1
0.8%
147.4 1
0.8%

출하지수(2020-12)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.22177
Minimum25.4
Maximum492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:16.558556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.4
5-th percentile63.64
Q189.225
median113.35
Q3136.05
95-th percentile196.5
Maximum492
Range466.6
Interquartile range (IQR)46.825

Descriptive statistics

Standard deviation57.858284
Coefficient of variation (CV)0.47729284
Kurtosis16.359098
Mean121.22177
Median Absolute Deviation (MAD)24.05
Skewness3.2959088
Sum15031.5
Variance3347.5811
MonotonicityNot monotonic
2023-12-12T10:05:16.720086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145.3 3
 
2.4%
113.7 2
 
1.6%
89.3 2
 
1.6%
115.9 2
 
1.6%
85.5 2
 
1.6%
134.7 2
 
1.6%
125.6 2
 
1.6%
102.2 2
 
1.6%
196.5 2
 
1.6%
65.0 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
25.4 1
0.8%
57.1 1
0.8%
57.9 1
0.8%
59.2 1
0.8%
60.4 1
0.8%
62.8 1
0.8%
63.4 1
0.8%
65.0 1
0.8%
67.0 1
0.8%
67.4 1
0.8%
ValueCountFrequency (%)
492.0 1
0.8%
355.9 1
0.8%
348.3 1
0.8%
263.2 1
0.8%
215.6 1
0.8%
204.0 1
0.8%
196.5 2
1.6%
181.1 1
0.8%
178.3 1
0.8%
175.1 1
0.8%

출하지수(2021-01)
Real number (ℝ)

Distinct120
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.20806
Minimum23.6
Maximum386.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:16.889550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.6
5-th percentile53.865
Q181.375
median99
Q3121
95-th percentile158.7
Maximum386.2
Range362.6
Interquartile range (IQR)39.625

Descriptive statistics

Standard deviation47.867481
Coefficient of variation (CV)0.45069535
Kurtosis13.145465
Mean106.20806
Median Absolute Deviation (MAD)20.05
Skewness2.922212
Sum13169.8
Variance2291.2957
MonotonicityNot monotonic
2023-12-12T10:05:17.058420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.6 2
 
1.6%
87.9 2
 
1.6%
158.7 2
 
1.6%
99.4 2
 
1.6%
112.5 1
 
0.8%
157.6 1
 
0.8%
23.6 1
 
0.8%
61.8 1
 
0.8%
198.8 1
 
0.8%
386.2 1
 
0.8%
Other values (110) 110
88.7%
ValueCountFrequency (%)
23.6 1
0.8%
42.0 1
0.8%
45.5 1
0.8%
48.9 1
0.8%
51.2 1
0.8%
51.3 1
0.8%
53.4 1
0.8%
56.5 1
0.8%
59.1 1
0.8%
59.6 1
0.8%
ValueCountFrequency (%)
386.2 1
0.8%
315.5 1
0.8%
301.5 1
0.8%
214.2 1
0.8%
198.8 1
0.8%
182.1 1
0.8%
158.7 2
1.6%
157.6 1
0.8%
151.5 1
0.8%
150.5 1
0.8%

출하지수(2021-02)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.38548
Minimum23.5
Maximum382.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:17.214933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.5
5-th percentile51.915
Q178.95
median93.35
Q3113.375
95-th percentile172.235
Maximum382.1
Range358.6
Interquartile range (IQR)34.425

Descriptive statistics

Standard deviation44.498844
Coefficient of variation (CV)0.43890745
Kurtosis13.860257
Mean101.38548
Median Absolute Deviation (MAD)17.95
Skewness2.8709783
Sum12571.8
Variance1980.1471
MonotonicityNot monotonic
2023-12-12T10:05:17.389727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.5 3
 
2.4%
88.7 3
 
2.4%
156.0 2
 
1.6%
90.9 2
 
1.6%
112.7 2
 
1.6%
111.3 2
 
1.6%
86.9 2
 
1.6%
81.5 2
 
1.6%
109.1 1
 
0.8%
151.8 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
23.5 1
0.8%
43.2 1
0.8%
44.0 1
0.8%
48.7 1
0.8%
50.2 1
0.8%
50.6 1
0.8%
51.9 1
0.8%
52.0 1
0.8%
52.4 1
0.8%
53.3 1
0.8%
ValueCountFrequency (%)
382.1 1
0.8%
261.9 1
0.8%
244.7 1
0.8%
209.5 1
0.8%
202.0 1
0.8%
182.6 1
0.8%
175.1 1
0.8%
156.0 2
1.6%
151.8 1
0.8%
147.0 1
0.8%

출하지수(2021-03)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.55081
Minimum20.8
Maximum471.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:17.583988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.8
5-th percentile56.875
Q189.15
median109.2
Q3139.1
95-th percentile217.4
Maximum471.6
Range450.8
Interquartile range (IQR)49.95

Descriptive statistics

Standard deviation54.282078
Coefficient of variation (CV)0.45405029
Kurtosis14.050529
Mean119.55081
Median Absolute Deviation (MAD)24.1
Skewness2.7472098
Sum14824.3
Variance2946.544
MonotonicityNot monotonic
2023-12-12T10:05:17.760978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.7 2
 
1.6%
217.4 2
 
1.6%
105.0 2
 
1.6%
120.2 2
 
1.6%
109.7 2
 
1.6%
151.0 2
 
1.6%
108.2 1
 
0.8%
243.3 1
 
0.8%
124.3 1
 
0.8%
178.3 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
20.8 1
0.8%
45.3 1
0.8%
50.6 1
0.8%
51.2 1
0.8%
53.7 1
0.8%
54.0 1
0.8%
56.5 1
0.8%
59.0 1
0.8%
62.3 1
0.8%
63.4 1
0.8%
ValueCountFrequency (%)
471.6 1
0.8%
271.5 1
0.8%
249.3 1
0.8%
243.3 1
0.8%
240.6 1
0.8%
227.1 1
0.8%
217.4 2
1.6%
212.1 1
0.8%
180.9 1
0.8%
178.9 1
0.8%

출하지수(2021-04)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.47823
Minimum20.8
Maximum337.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:17.953083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.8
5-th percentile54.89
Q180
median105.25
Q3135.55
95-th percentile199.515
Maximum337.6
Range316.8
Interquartile range (IQR)55.55

Descriptive statistics

Standard deviation45.985151
Coefficient of variation (CV)0.40883602
Kurtosis4.1691708
Mean112.47823
Median Absolute Deviation (MAD)26.65
Skewness1.4496059
Sum13947.3
Variance2114.6341
MonotonicityNot monotonic
2023-12-12T10:05:18.135472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.9 2
 
1.6%
99.8 2
 
1.6%
98.6 2
 
1.6%
112.1 2
 
1.6%
210.1 2
 
1.6%
103.5 2
 
1.6%
80.0 2
 
1.6%
45.2 1
 
0.8%
169.4 1
 
0.8%
89.3 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
20.8 1
0.8%
45.2 1
0.8%
45.4 1
0.8%
51.2 1
0.8%
51.6 1
0.8%
54.0 1
0.8%
54.2 1
0.8%
58.8 1
0.8%
59.4 1
0.8%
59.5 1
0.8%
ValueCountFrequency (%)
337.6 1
0.8%
235.6 1
0.8%
234.1 1
0.8%
217.9 1
0.8%
210.1 2
1.6%
200.4 1
0.8%
194.5 1
0.8%
180.9 1
0.8%
173.4 1
0.8%
172.8 1
0.8%

출하지수(2021-05)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.44839
Minimum17.7
Maximum393.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:18.337535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.7
5-th percentile53.35
Q179.675
median101.1
Q3130.75
95-th percentile192.085
Maximum393.1
Range375.4
Interquartile range (IQR)51.075

Descriptive statistics

Standard deviation49.499711
Coefficient of variation (CV)0.45226533
Kurtosis9.0149187
Mean109.44839
Median Absolute Deviation (MAD)23.65
Skewness2.2232701
Sum13571.6
Variance2450.2214
MonotonicityNot monotonic
2023-12-12T10:05:18.579069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.7 2
 
1.6%
149.9 2
 
1.6%
95.7 2
 
1.6%
193.6 2
 
1.6%
103.4 2
 
1.6%
90.3 2
 
1.6%
36.6 1
 
0.8%
56.2 1
 
0.8%
183.5 1
 
0.8%
119.6 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
17.7 1
0.8%
36.6 1
0.8%
43.6 1
0.8%
50.4 1
0.8%
50.7 1
0.8%
52.2 1
0.8%
52.9 1
0.8%
55.9 1
0.8%
56.2 1
0.8%
57.3 1
0.8%
ValueCountFrequency (%)
393.1 1
0.8%
271.9 1
0.8%
250.9 1
0.8%
242.4 1
0.8%
221.4 1
0.8%
193.6 2
1.6%
183.5 1
0.8%
172.0 1
0.8%
168.4 1
0.8%
167.6 1
0.8%

출하지수(2021-06)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.9121
Minimum18.5
Maximum432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:18.787748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.5
5-th percentile56.86
Q180.75
median105.55
Q3138.925
95-th percentile200.2
Maximum432
Range413.5
Interquartile range (IQR)58.175

Descriptive statistics

Standard deviation52.90273
Coefficient of variation (CV)0.46037564
Kurtosis10.279723
Mean114.9121
Median Absolute Deviation (MAD)28.4
Skewness2.3249256
Sum14249.1
Variance2798.6988
MonotonicityNot monotonic
2023-12-12T10:05:18.977850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200.2 2
 
1.6%
74.7 2
 
1.6%
139.0 2
 
1.6%
96.7 2
 
1.6%
88.0 2
 
1.6%
70.8 2
 
1.6%
160.3 1
 
0.8%
122.8 1
 
0.8%
183.7 1
 
0.8%
18.5 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
18.5 1
0.8%
43.3 1
0.8%
52.2 1
0.8%
54.5 1
0.8%
54.7 1
0.8%
55.5 1
0.8%
56.5 1
0.8%
58.9 1
0.8%
59.7 1
0.8%
60.3 1
0.8%
ValueCountFrequency (%)
432.0 1
0.8%
268.5 1
0.8%
261.4 1
0.8%
246.1 1
0.8%
241.6 1
0.8%
201.0 1
0.8%
200.2 2
1.6%
183.7 1
0.8%
176.3 1
0.8%
172.4 1
0.8%

출하지수(2021-07)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.29758
Minimum20.6
Maximum319.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:19.173987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.6
5-th percentile54.18
Q179.475
median101.15
Q3130.75
95-th percentile192.515
Maximum319.2
Range298.6
Interquartile range (IQR)51.275

Descriptive statistics

Standard deviation45.379327
Coefficient of variation (CV)0.41519059
Kurtosis3.413819
Mean109.29758
Median Absolute Deviation (MAD)27.2
Skewness1.3789488
Sum13552.9
Variance2059.2833
MonotonicityNot monotonic
2023-12-12T10:05:19.363546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.3 2
 
1.6%
61.0 2
 
1.6%
85.3 2
 
1.6%
69.4 2
 
1.6%
98.7 2
 
1.6%
189.2 2
 
1.6%
93.9 1
 
0.8%
127.2 1
 
0.8%
79.6 1
 
0.8%
41.2 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
20.6 1
0.8%
41.2 1
0.8%
44.6 1
0.8%
49.3 1
0.8%
50.1 1
0.8%
51.8 1
0.8%
54.0 1
0.8%
55.2 1
0.8%
56.8 1
0.8%
60.2 1
0.8%
ValueCountFrequency (%)
319.2 1
0.8%
240.2 1
0.8%
225.9 1
0.8%
217.5 1
0.8%
215.2 1
0.8%
204.2 1
0.8%
193.1 1
0.8%
189.2 2
1.6%
173.5 1
0.8%
170.4 1
0.8%

출하지수(2021-08)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.171774
Minimum14.6
Maximum393.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:19.557827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.6
5-th percentile47.81
Q169.575
median88.05
Q3116.575
95-th percentile179.755
Maximum393.4
Range378.8
Interquartile range (IQR)47

Descriptive statistics

Standard deviation52.422939
Coefficient of variation (CV)0.52860745
Kurtosis10.074257
Mean99.171774
Median Absolute Deviation (MAD)21.5
Skewness2.6648024
Sum12297.3
Variance2748.1645
MonotonicityNot monotonic
2023-12-12T10:05:20.238216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.5 2
 
1.6%
89.8 2
 
1.6%
55.8 2
 
1.6%
91.5 2
 
1.6%
133.1 2
 
1.6%
57.8 2
 
1.6%
77.2 2
 
1.6%
158.2 2
 
1.6%
73.7 2
 
1.6%
77.7 2
 
1.6%
Other values (103) 104
83.9%
ValueCountFrequency (%)
14.6 1
0.8%
33.6 1
0.8%
43.0 1
0.8%
43.9 1
0.8%
44.1 1
0.8%
46.6 1
0.8%
47.6 1
0.8%
49.0 1
0.8%
51.5 1
0.8%
52.1 1
0.8%
ValueCountFrequency (%)
393.4 1
0.8%
297.3 1
0.8%
274.0 1
0.8%
258.4 1
0.8%
244.4 1
0.8%
227.0 1
0.8%
181.9 1
0.8%
167.6 1
0.8%
158.2 2
1.6%
149.9 1
0.8%

출하지수(2021-09)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.126613
Minimum17.9
Maximum401.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:20.493766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.9
5-th percentile50.845
Q167.175
median89.35
Q3114.95
95-th percentile163.69
Maximum401.1
Range383.2
Interquartile range (IQR)47.775

Descriptive statistics

Standard deviation48.298821
Coefficient of variation (CV)0.48724373
Kurtosis12.780801
Mean99.126613
Median Absolute Deviation (MAD)23.35
Skewness2.7309261
Sum12291.7
Variance2332.7761
MonotonicityNot monotonic
2023-12-12T10:05:20.727460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6 2
 
1.6%
75.1 2
 
1.6%
81.8 2
 
1.6%
67.1 2
 
1.6%
159.1 2
 
1.6%
153.4 2
 
1.6%
228.0 1
 
0.8%
67.3 1
 
0.8%
250.9 1
 
0.8%
17.9 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
17.9 1
0.8%
40.1 1
0.8%
43.4 1
0.8%
44.6 1
0.8%
49.3 1
0.8%
49.8 1
0.8%
50.5 1
0.8%
52.8 1
0.8%
53.6 1
0.8%
53.8 1
0.8%
ValueCountFrequency (%)
401.1 1
0.8%
256.7 1
0.8%
250.9 1
0.8%
228.0 1
0.8%
195.4 1
0.8%
166.4 1
0.8%
164.5 1
0.8%
159.1 2
1.6%
153.4 2
1.6%
152.6 1
0.8%

출하지수(2021-10)
Real number (ℝ)

Distinct119
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.00645
Minimum20.6
Maximum351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:20.928326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.6
5-th percentile51.045
Q174.45
median97
Q3123.575
95-th percentile190.83
Maximum351
Range330.4
Interquartile range (IQR)49.125

Descriptive statistics

Standard deviation45.980262
Coefficient of variation (CV)0.43788035
Kurtosis6.1638989
Mean105.00645
Median Absolute Deviation (MAD)26
Skewness1.8000252
Sum13020.8
Variance2114.1845
MonotonicityNot monotonic
2023-12-12T10:05:21.115856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122.6 2
 
1.6%
83.8 2
 
1.6%
97.4 2
 
1.6%
134.0 2
 
1.6%
165.3 2
 
1.6%
47.9 1
 
0.8%
70.9 1
 
0.8%
164.3 1
 
0.8%
132.1 1
 
0.8%
79.1 1
 
0.8%
Other values (109) 109
87.9%
ValueCountFrequency (%)
20.6 1
0.8%
42.9 1
0.8%
46.0 1
0.8%
47.1 1
0.8%
47.9 1
0.8%
49.3 1
0.8%
50.7 1
0.8%
53.0 1
0.8%
54.0 1
0.8%
57.3 1
0.8%
ValueCountFrequency (%)
351.0 1
0.8%
223.4 1
0.8%
218.8 1
0.8%
215.4 1
0.8%
213.0 1
0.8%
209.1 1
0.8%
192.6 1
0.8%
180.8 1
0.8%
175.0 1
0.8%
169.6 1
0.8%

출하지수(2021-11)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.81935
Minimum24
Maximum417.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:21.301960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile51.125
Q172.8
median96.1
Q3124.075
95-th percentile190.62
Maximum417.4
Range393.4
Interquartile range (IQR)51.275

Descriptive statistics

Standard deviation51.140243
Coefficient of variation (CV)0.48327873
Kurtosis11.144004
Mean105.81935
Median Absolute Deviation (MAD)26.45
Skewness2.5063988
Sum13121.6
Variance2615.3245
MonotonicityNot monotonic
2023-12-12T10:05:21.534118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.1 3
 
2.4%
69.6 3
 
2.4%
79.5 2
 
1.6%
91.3 2
 
1.6%
90.7 2
 
1.6%
86.3 2
 
1.6%
62.6 2
 
1.6%
54.8 2
 
1.6%
153.6 2
 
1.6%
46.7 2
 
1.6%
Other values (102) 102
82.3%
ValueCountFrequency (%)
24.0 1
0.8%
44.9 1
0.8%
46.7 2
1.6%
49.8 1
0.8%
50.0 1
0.8%
50.6 1
0.8%
54.1 1
0.8%
54.8 2
1.6%
55.1 1
0.8%
56.7 1
0.8%
ValueCountFrequency (%)
417.4 1
0.8%
257.0 1
0.8%
247.9 1
0.8%
233.1 1
0.8%
225.5 1
0.8%
224.2 1
0.8%
192.0 1
0.8%
182.8 1
0.8%
169.8 1
0.8%
156.6 1
0.8%

출하지수(2021-12)
Real number (ℝ)

Distinct119
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.43629
Minimum20.8
Maximum462.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:21.749846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.8
5-th percentile53.705
Q175.925
median101.25
Q3130.275
95-th percentile197.64
Maximum462.2
Range441.4
Interquartile range (IQR)54.35

Descriptive statistics

Standard deviation55.014379
Coefficient of variation (CV)0.5027069
Kurtosis13.617343
Mean109.43629
Median Absolute Deviation (MAD)26.7
Skewness2.7611164
Sum13570.1
Variance3026.5818
MonotonicityNot monotonic
2023-12-12T10:05:21.932219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139.1 2
 
1.6%
190.5 2
 
1.6%
94.2 2
 
1.6%
59.3 2
 
1.6%
62.3 2
 
1.6%
123.5 1
 
0.8%
111.4 1
 
0.8%
105.7 1
 
0.8%
205.0 1
 
0.8%
20.8 1
 
0.8%
Other values (109) 109
87.9%
ValueCountFrequency (%)
20.8 1
0.8%
44.4 1
0.8%
45.7 1
0.8%
46.8 1
0.8%
47.7 1
0.8%
50.7 1
0.8%
53.3 1
0.8%
56.0 1
0.8%
56.1 1
0.8%
57.4 1
0.8%
ValueCountFrequency (%)
462.2 1
0.8%
277.1 1
0.8%
263.3 1
0.8%
249.6 1
0.8%
205.0 1
0.8%
203.5 1
0.8%
198.9 1
0.8%
190.5 2
1.6%
186.0 1
0.8%
178.2 1
0.8%

출하지수(2022-01)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.725806
Minimum26.6
Maximum383.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:22.106054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.6
5-th percentile47.485
Q169.325
median91
Q3109.175
95-th percentile174.12
Maximum383.6
Range357
Interquartile range (IQR)39.85

Descriptive statistics

Standard deviation47.9934
Coefficient of variation (CV)0.48612822
Kurtosis10.96962
Mean98.725806
Median Absolute Deviation (MAD)20.1
Skewness2.6149857
Sum12242
Variance2303.3665
MonotonicityNot monotonic
2023-12-12T10:05:22.293546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152.5 2
 
1.6%
64.2 2
 
1.6%
79.5 2
 
1.6%
86.5 2
 
1.6%
83.3 2
 
1.6%
58.2 2
 
1.6%
78.9 1
 
0.8%
46.1 1
 
0.8%
201.0 1
 
0.8%
54.9 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
26.6 1
0.8%
35.7 1
0.8%
43.7 1
0.8%
46.0 1
0.8%
46.1 1
0.8%
46.5 1
0.8%
46.9 1
0.8%
50.8 1
0.8%
50.9 1
0.8%
54.9 1
0.8%
ValueCountFrequency (%)
383.6 1
0.8%
261.5 1
0.8%
259.1 1
0.8%
229.8 1
0.8%
201.0 1
0.8%
199.5 1
0.8%
174.9 1
0.8%
169.7 1
0.8%
159.8 1
0.8%
156.5 1
0.8%

출하지수(2022-02)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.839516
Minimum33.7
Maximum379.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:22.448117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.7
5-th percentile50.99
Q164.775
median87.05
Q3104.85
95-th percentile175.4
Maximum379.6
Range345.9
Interquartile range (IQR)40.075

Descriptive statistics

Standard deviation50.866862
Coefficient of variation (CV)0.53075041
Kurtosis11.502361
Mean95.839516
Median Absolute Deviation (MAD)21.3
Skewness2.9165892
Sum11884.1
Variance2587.4377
MonotonicityNot monotonic
2023-12-12T10:05:22.615901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.6 3
 
2.4%
128.0 2
 
1.6%
85.8 2
 
1.6%
86.9 2
 
1.6%
79.4 2
 
1.6%
104.8 2
 
1.6%
58.0 2
 
1.6%
176.9 1
 
0.8%
34.6 1
 
0.8%
59.6 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
33.7 1
0.8%
34.6 1
0.8%
41.6 1
0.8%
41.8 1
0.8%
48.3 1
0.8%
49.1 1
0.8%
50.9 1
0.8%
51.5 1
0.8%
52.1 1
0.8%
52.8 1
0.8%
ValueCountFrequency (%)
379.6 1
0.8%
312.4 1
0.8%
298.7 1
0.8%
237.6 1
0.8%
233.5 1
0.8%
187.2 1
0.8%
176.9 1
0.8%
166.9 1
0.8%
148.2 1
0.8%
145.6 1
0.8%

출하지수(2022-03)
Real number (ℝ)

Distinct119
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.52984
Minimum36.3
Maximum477.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:22.791226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.3
5-th percentile52.57
Q172.375
median96.5
Q3119.1
95-th percentile178.89
Maximum477.6
Range441.3
Interquartile range (IQR)46.725

Descriptive statistics

Standard deviation60.482276
Coefficient of variation (CV)0.5624697
Kurtosis14.699692
Mean107.52984
Median Absolute Deviation (MAD)23.85
Skewness3.2419974
Sum13333.7
Variance3658.1057
MonotonicityNot monotonic
2023-12-12T10:05:22.985943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.1 2
 
1.6%
149.9 2
 
1.6%
43.8 2
 
1.6%
96.5 2
 
1.6%
113.2 2
 
1.6%
234.5 1
 
0.8%
89.6 1
 
0.8%
156.0 1
 
0.8%
130.4 1
 
0.8%
95.8 1
 
0.8%
Other values (109) 109
87.9%
ValueCountFrequency (%)
36.3 1
0.8%
41.4 1
0.8%
43.8 2
1.6%
47.9 1
0.8%
48.8 1
0.8%
52.3 1
0.8%
54.1 1
0.8%
55.2 1
0.8%
55.3 1
0.8%
56.4 1
0.8%
ValueCountFrequency (%)
477.6 1
0.8%
370.5 1
0.8%
336.9 1
0.8%
278.2 1
0.8%
234.5 1
0.8%
211.7 1
0.8%
180.9 1
0.8%
167.5 1
0.8%
164.1 1
0.8%
162.6 1
0.8%

출하지수(2022-04)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.14839
Minimum26.1
Maximum383.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:23.182343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.1
5-th percentile48.605
Q167.55
median94.25
Q3114.375
95-th percentile177.03
Maximum383.1
Range357
Interquartile range (IQR)46.825

Descriptive statistics

Standard deviation49.838617
Coefficient of variation (CV)0.4879041
Kurtosis8.4385235
Mean102.14839
Median Absolute Deviation (MAD)23.5
Skewness2.2372083
Sum12666.4
Variance2483.8877
MonotonicityNot monotonic
2023-12-12T10:05:23.363073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.0 3
 
2.4%
70.9 2
 
1.6%
105.8 2
 
1.6%
114.2 2
 
1.6%
83.5 2
 
1.6%
98.1 2
 
1.6%
154.8 2
 
1.6%
97.0 2
 
1.6%
41.3 1
 
0.8%
383.1 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
26.1 1
0.8%
38.4 1
0.8%
41.3 1
0.8%
41.7 1
0.8%
46.6 1
0.8%
48.1 1
0.8%
48.2 1
0.8%
50.9 1
0.8%
52.3 1
0.8%
54.1 1
0.8%
ValueCountFrequency (%)
383.1 1
0.8%
253.9 1
0.8%
242.7 1
0.8%
241.4 1
0.8%
238.9 1
0.8%
196.7 1
0.8%
177.3 1
0.8%
175.5 1
0.8%
174.5 1
0.8%
163.8 1
0.8%

출하지수(2022-05)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.98065
Minimum25.5
Maximum412.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:23.526796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.5
5-th percentile50.19
Q168.8
median96.25
Q3122.5
95-th percentile189.03
Maximum412.6
Range387.1
Interquartile range (IQR)53.7

Descriptive statistics

Standard deviation53.339405
Coefficient of variation (CV)0.50808799
Kurtosis9.1842757
Mean104.98065
Median Absolute Deviation (MAD)27.2
Skewness2.3485505
Sum13017.6
Variance2845.0921
MonotonicityNot monotonic
2023-12-12T10:05:23.724360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.2 2
 
1.6%
136.7 2
 
1.6%
67.5 2
 
1.6%
85.5 2
 
1.6%
175.8 2
 
1.6%
105.7 2
 
1.6%
98.2 2
 
1.6%
236.1 1
 
0.8%
78.5 1
 
0.8%
156.3 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
25.5 1
0.8%
40.3 1
0.8%
42.9 1
0.8%
44.7 1
0.8%
46.1 1
0.8%
49.0 1
0.8%
50.1 1
0.8%
50.7 1
0.8%
51.4 1
0.8%
52.0 1
0.8%
ValueCountFrequency (%)
412.6 1
0.8%
259.5 1
0.8%
259.0 1
0.8%
249.3 1
0.8%
242.9 1
0.8%
236.1 1
0.8%
190.8 1
0.8%
179.0 1
0.8%
176.7 1
0.8%
175.8 2
1.6%

출하지수(2022-06)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.31129
Minimum19.9
Maximum445.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:23.924915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.9
5-th percentile47.32
Q166.85
median95.4
Q3125.45
95-th percentile187.61
Maximum445.1
Range425.2
Interquartile range (IQR)58.6

Descriptive statistics

Standard deviation54.991317
Coefficient of variation (CV)0.53228758
Kurtosis11.791529
Mean103.31129
Median Absolute Deviation (MAD)29.15
Skewness2.5431669
Sum12810.6
Variance3024.0449
MonotonicityNot monotonic
2023-12-12T10:05:24.128138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.0 3
 
2.4%
188.0 2
 
1.6%
98.7 2
 
1.6%
72.5 2
 
1.6%
72.1 2
 
1.6%
95.9 2
 
1.6%
64.0 1
 
0.8%
146.4 1
 
0.8%
183.9 1
 
0.8%
108.8 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
19.9 1
0.8%
34.3 1
0.8%
38.2 1
0.8%
41.0 1
0.8%
45.0 1
0.8%
46.6 1
0.8%
47.2 1
0.8%
48.0 1
0.8%
48.6 1
0.8%
48.7 1
0.8%
ValueCountFrequency (%)
445.1 1
0.8%
262.0 1
0.8%
246.7 1
0.8%
245.3 1
0.8%
226.2 1
0.8%
188.0 2
1.6%
185.4 1
0.8%
183.9 1
0.8%
183.2 1
0.8%
165.0 1
0.8%

출하지수(2022-07)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.10806
Minimum23
Maximum335.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:24.325611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile48.175
Q167.05
median93.8
Q3123.725
95-th percentile174.8
Maximum335.5
Range312.5
Interquartile range (IQR)56.675

Descriptive statistics

Standard deviation47.3605
Coefficient of variation (CV)0.46841467
Kurtosis5.2898846
Mean101.10806
Median Absolute Deviation (MAD)29.2
Skewness1.6859343
Sum12537.4
Variance2243.017
MonotonicityNot monotonic
2023-12-12T10:05:24.570319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174.8 3
 
2.4%
114.2 2
 
1.6%
98.7 2
 
1.6%
131.4 2
 
1.6%
103.0 2
 
1.6%
85.7 2
 
1.6%
63.3 2
 
1.6%
108.0 1
 
0.8%
48.1 1
 
0.8%
159.8 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
23.0 1
0.8%
32.2 1
0.8%
34.0 1
0.8%
36.0 1
0.8%
45.2 1
0.8%
47.0 1
0.8%
48.1 1
0.8%
48.6 1
0.8%
49.1 1
0.8%
49.5 1
0.8%
ValueCountFrequency (%)
335.5 1
 
0.8%
270.8 1
 
0.8%
253.4 1
 
0.8%
193.5 1
 
0.8%
183.1 1
 
0.8%
174.8 3
2.4%
168.3 1
 
0.8%
164.2 1
 
0.8%
161.7 1
 
0.8%
159.8 1
 
0.8%

출하지수(2022-08)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.879839
Minimum20.7
Maximum358.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:24.764314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.7
5-th percentile45.575
Q163.65
median87.95
Q3114.975
95-th percentile179.755
Maximum358.8
Range338.1
Interquartile range (IQR)51.325

Descriptive statistics

Standard deviation50.705833
Coefficient of variation (CV)0.5233889
Kurtosis7.381441
Mean96.879839
Median Absolute Deviation (MAD)25.35
Skewness2.1655672
Sum12013.1
Variance2571.0815
MonotonicityNot monotonic
2023-12-12T10:05:24.978789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152.7 2
 
1.6%
58.8 2
 
1.6%
72.4 2
 
1.6%
79.6 2
 
1.6%
93.8 2
 
1.6%
191.7 2
 
1.6%
68.0 2
 
1.6%
28.8 1
 
0.8%
113.5 1
 
0.8%
92.1 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
20.7 1
0.8%
28.8 1
0.8%
33.0 1
0.8%
35.5 1
0.8%
37.5 1
0.8%
43.5 1
0.8%
44.9 1
0.8%
49.4 1
0.8%
50.2 1
0.8%
50.4 1
0.8%
ValueCountFrequency (%)
358.8 1
0.8%
299.1 1
0.8%
275.7 1
0.8%
207.1 1
0.8%
191.7 2
1.6%
181.0 1
0.8%
172.7 1
0.8%
159.8 1
0.8%
155.8 1
0.8%
152.7 2
1.6%

출하지수(2022-09)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.95
Minimum21.3
Maximum456.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:25.201526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.3
5-th percentile43.47
Q163.95
median85.8
Q3121.625
95-th percentile199.78
Maximum456.2
Range434.9
Interquartile range (IQR)57.675

Descriptive statistics

Standard deviation64.180103
Coefficient of variation (CV)0.62341042
Kurtosis10.587939
Mean102.95
Median Absolute Deviation (MAD)26.3
Skewness2.740888
Sum12765.8
Variance4119.0856
MonotonicityNot monotonic
2023-12-12T10:05:25.752130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.9 3
 
2.4%
85.8 2
 
1.6%
55.6 2
 
1.6%
45.0 2
 
1.6%
72.8 2
 
1.6%
75.3 2
 
1.6%
190.6 2
 
1.6%
103.6 1
 
0.8%
133.0 1
 
0.8%
111.4 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
21.3 1
0.8%
33.2 1
0.8%
35.0 1
0.8%
40.0 1
0.8%
41.0 1
0.8%
42.0 1
0.8%
43.2 1
0.8%
45.0 2
1.6%
48.1 1
0.8%
49.2 1
0.8%
ValueCountFrequency (%)
456.2 1
0.8%
390.1 1
0.8%
336.6 1
0.8%
257.0 1
0.8%
242.5 1
0.8%
222.3 1
0.8%
201.4 1
0.8%
190.6 2
1.6%
179.0 1
0.8%
174.2 1
0.8%

출하지수(2022-10)
Real number (ℝ)

Distinct120
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.98871
Minimum25.6
Maximum526.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:25.948799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.6
5-th percentile49.58
Q165.7
median93.75
Q3125.925
95-th percentile202.34
Maximum526.8
Range501.2
Interquartile range (IQR)60.225

Descriptive statistics

Standard deviation63.72718
Coefficient of variation (CV)0.60126386
Kurtosis15.771913
Mean105.98871
Median Absolute Deviation (MAD)30.5
Skewness3.1215608
Sum13142.6
Variance4061.1535
MonotonicityNot monotonic
2023-12-12T10:05:26.139823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195.2 2
 
1.6%
59.3 2
 
1.6%
55.0 2
 
1.6%
97.2 2
 
1.6%
125.0 1
 
0.8%
145.6 1
 
0.8%
99.1 1
 
0.8%
43.7 1
 
0.8%
320.7 1
 
0.8%
108.1 1
 
0.8%
Other values (110) 110
88.7%
ValueCountFrequency (%)
25.6 1
0.8%
35.5 1
0.8%
38.6 1
0.8%
40.9 1
0.8%
43.7 1
0.8%
48.4 1
0.8%
49.4 1
0.8%
50.6 1
0.8%
51.5 1
0.8%
52.1 1
0.8%
ValueCountFrequency (%)
526.8 1
0.8%
320.7 1
0.8%
273.1 1
0.8%
269.8 1
0.8%
261.4 1
0.8%
223.6 1
0.8%
203.6 1
0.8%
195.2 2
1.6%
179.7 1
0.8%
177.9 1
0.8%

출하지수(2022-11)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.6371
Minimum33.3
Maximum467.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:26.362552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.3
5-th percentile48.7
Q167.275
median94.35
Q3119.525
95-th percentile187.12
Maximum467.1
Range433.8
Interquartile range (IQR)52.25

Descriptive statistics

Standard deviation53.457535
Coefficient of variation (CV)0.5259648
Kurtosis17.071954
Mean101.6371
Median Absolute Deviation (MAD)26.75
Skewness3.0439187
Sum12603
Variance2857.708
MonotonicityNot monotonic
2023-12-12T10:05:26.574210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.7 2
 
1.6%
76.1 2
 
1.6%
132.2 2
 
1.6%
119.2 2
 
1.6%
187.9 2
 
1.6%
112.4 2
 
1.6%
44.0 1
 
0.8%
119.6 1
 
0.8%
126.8 1
 
0.8%
102.1 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
33.3 1
0.8%
37.5 1
0.8%
43.6 1
0.8%
44.0 1
0.8%
45.1 1
0.8%
45.5 1
0.8%
48.7 2
1.6%
49.8 1
0.8%
50.8 1
0.8%
50.9 1
0.8%
ValueCountFrequency (%)
467.1 1
0.8%
228.9 1
0.8%
225.7 1
0.8%
224.9 1
0.8%
224.4 1
0.8%
187.9 2
1.6%
182.7 1
0.8%
172.0 1
0.8%
168.4 1
0.8%
164.1 1
0.8%

출하지수(2022-12)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.89435
Minimum21.9
Maximum610.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:26.760913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.9
5-th percentile50.065
Q166.725
median91.6
Q3123.35
95-th percentile191.39
Maximum610.8
Range588.9
Interquartile range (IQR)56.625

Descriptive statistics

Standard deviation67.518606
Coefficient of variation (CV)0.64368198
Kurtosis25.7105
Mean104.89435
Median Absolute Deviation (MAD)28.8
Skewness4.0534369
Sum13006.9
Variance4558.7622
MonotonicityNot monotonic
2023-12-12T10:05:26.980371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.3 2
 
1.6%
93.5 2
 
1.6%
90.4 2
 
1.6%
58.7 2
 
1.6%
73.6 2
 
1.6%
51.2 2
 
1.6%
185.1 2
 
1.6%
53.9 2
 
1.6%
21.9 1
 
0.8%
51.3 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
21.9 1
0.8%
37.5 1
0.8%
39.7 1
0.8%
48.4 1
0.8%
48.5 1
0.8%
49.5 1
0.8%
49.9 1
0.8%
51.0 1
0.8%
51.2 2
1.6%
51.3 1
0.8%
ValueCountFrequency (%)
610.8 1
0.8%
300.1 1
0.8%
284.5 1
0.8%
269.0 1
0.8%
268.0 1
0.8%
204.4 1
0.8%
192.5 1
0.8%
185.1 2
1.6%
184.0 1
0.8%
172.5 1
0.8%

Sample

품목코드품목명출하지수(2015-01)출하지수(2015-02)출하지수(2015-03)출하지수(2015-04)출하지수(2015-05)출하지수(2015-06)출하지수(2015-07)출하지수(2015-08)출하지수(2015-09)출하지수(2015-10)출하지수(2015-11)출하지수(2015-12)출하지수(2016-01)출하지수(2016-02)출하지수(2016-03)출하지수(2016-04)출하지수(2016-05)출하지수(2016-06)출하지수(2016-07)출하지수(2016-08)출하지수(2016-09)출하지수(2016-10)출하지수(2016-11)출하지수(2016-12)출하지수(2017-01)출하지수(2017-02)출하지수(2017-03)출하지수(2017-04)출하지수(2017-05)출하지수(2017-06)출하지수(2017-07)출하지수(2017-08)출하지수(2017-09)출하지수(2017-10)출하지수(2017-11)출하지수(2017-12)출하지수(2018-01)출하지수(2018-02)출하지수(2018-03)출하지수(2018-04)출하지수(2018-05)출하지수(2018-06)출하지수(2018-07)출하지수(2018-08)출하지수(2018-09)출하지수(2018-10)출하지수(2018-11)출하지수(2018-12)출하지수(2019-01)출하지수(2019-02)출하지수(2019-03)출하지수(2019-04)출하지수(2019-05)출하지수(2019-06)출하지수(2019-07)출하지수(2019-08)출하지수(2019-09)출하지수(2019-10)출하지수(2019-11)출하지수(2019-12)출하지수(2020-01)출하지수(2020-02)출하지수(2020-03)출하지수(2020-04)출하지수(2020-05)출하지수(2020-06)출하지수(2020-07)출하지수(2020-08)출하지수(2020-09)출하지수(2020-10)출하지수(2020-11)출하지수(2020-12)출하지수(2021-01)출하지수(2021-02)출하지수(2021-03)출하지수(2021-04)출하지수(2021-05)출하지수(2021-06)출하지수(2021-07)출하지수(2021-08)출하지수(2021-09)출하지수(2021-10)출하지수(2021-11)출하지수(2021-12)출하지수(2022-01)출하지수(2022-02)출하지수(2022-03)출하지수(2022-04)출하지수(2022-05)출하지수(2022-06)출하지수(2022-07)출하지수(2022-08)출하지수(2022-09)출하지수(2022-10)출하지수(2022-11)출하지수(2022-12)
00소재부품장비95.987.9102.299.396.0101.8100.095.8102.8107.7104.6106.6100.094.3110.8104.6108.4110.8107.5104.8108.1113.4115.3118.1103.6101.8114.1106.5108.3113.4107.9108.3115.1106.4113.6108.1106.194.6111.4106.1109.7110.1106.5108.5107.5114.0108.4104.8104.292.8111.8105.9110.6111.0112.5109.4113.8116.5114.4120.4102.5102.3123.3103.5101.0112.8110.6107.6127.2120.0122.6130.3116.3111.3127.0113.6114.6120.0110.7108.2108.9108.0112.9117.6106.4104.1115.3106.1108.6106.099.496.8103.6108.1101.6107.3
110000소재96.489.8101.199.496.399.6100.399.3100.4106.9103.9107.8105.5101.4113.9107.8110.5107.7107.3105.3102.7107.7108.0105.598.694.9103.298.9101.6103.9104.3102.8103.196.299.998.199.588.899.196.9100.595.697.094.091.196.094.693.3101.688.699.897.299.194.5100.495.792.498.298.1100.995.795.4104.792.291.696.798.092.8101.3100.097.698.695.389.698.188.588.688.085.377.776.979.678.578.278.073.078.174.272.166.971.166.964.768.968.067.9
211000섬유제품93.083.7106.4106.5101.1103.799.593.996.8106.5105.2103.992.491.3107.6103.1103.4102.4101.495.293.498.698.297.183.788.896.495.294.195.192.392.3100.185.496.792.187.774.089.891.094.384.183.379.674.585.484.379.081.870.587.784.383.076.381.075.274.482.777.977.270.375.577.559.056.262.365.861.573.473.970.170.067.464.975.068.667.470.868.459.863.166.868.766.662.160.066.962.664.958.954.652.055.653.955.054.4
311010제사 및 방적89.583.7104.1105.393.898.298.099.899.4111.3107.1110.796.3101.8112.299.3104.899.2106.594.192.693.396.897.479.487.882.881.882.993.390.9100.2104.181.988.092.880.961.575.778.183.664.857.058.357.560.660.859.664.555.966.868.163.458.561.664.760.966.559.959.755.456.657.348.552.057.054.255.877.467.757.359.253.452.056.551.652.259.755.249.053.650.754.145.743.741.643.841.744.738.232.235.540.035.543.648.4
411020직물직조91.380.2104.6104.3105.8106.399.994.497.4105.2107.6103.280.377.497.795.696.194.894.289.283.988.686.386.468.473.483.788.488.885.585.882.888.378.694.383.978.467.779.683.386.980.885.581.870.185.987.077.677.664.088.979.178.970.877.768.470.777.574.073.264.372.870.451.948.353.658.054.761.461.262.062.864.062.670.469.169.469.970.159.963.268.368.368.357.858.069.064.368.266.763.457.659.257.954.854.1
511030섬유염색 및 가공90.980.0111.5113.4103.5101.2100.387.297.5108.8103.1102.793.090.3120.1117.4113.0113.0103.6100.3103.5116.3115.5109.388.894.1113.7109.7109.0103.497.090.9111.091.5110.498.590.876.8103.9100.5101.893.287.783.479.194.287.280.989.674.393.995.295.385.387.873.680.795.889.489.779.884.789.260.755.565.868.259.871.277.179.987.170.267.997.391.284.089.087.765.464.785.275.177.179.585.096.588.986.378.369.856.961.871.767.360.2
611040편조원단95.987.8108.6104.094.2100.896.788.799.8106.0104.7114.6109.0108.0116.4113.1114.3117.7112.3106.5103.0106.7103.6108.398.3106.5119.9108.5107.8101.592.291.2104.793.7109.8108.2106.490.8108.4104.4108.4109.7113.191.285.699.199.297.898.894.4102.994.696.289.490.782.481.786.283.288.578.289.389.760.350.260.568.463.569.865.970.360.451.248.777.272.561.169.764.965.075.465.689.084.868.564.881.172.882.173.264.666.566.248.462.965.5
711090기타 섬유제품98.688.6107.4106.9102.5107.8100.591.993.1103.0102.997.0100.695.8105.8106.3103.3105.6101.197.997.8104.4103.799.6100.3100.4109.2103.898.3100.797.395.4101.490.095.692.497.486.9102.4102.4103.093.594.990.989.499.597.492.794.483.697.897.997.192.298.192.786.998.093.690.485.589.198.077.773.378.386.577.689.297.688.383.188.583.185.871.172.172.869.465.367.269.472.972.672.564.465.463.063.054.154.853.958.957.356.553.7
812000화학물질 및 화학제품102.094.9102.898.790.895.298.598.3102.3105.9103.0109.2108.5103.0114.3105.6109.6108.8109.3108.4105.9105.2107.9105.2104.198.1108.1102.0105.2108.2110.5110.3109.0103.6106.0109.4106.497.6107.4104.7105.6100.0102.1100.095.297.698.3102.2112.697.6109.1104.7104.399.4110.2108.4104.9107.0107.4113.6109.6107.8118.7110.8112.9114.3116.2111.6117.5113.8103.6109.8109.3103.6111.697.6100.4100.698.789.890.492.791.892.495.484.190.585.481.170.675.369.169.674.074.673.9
912010석유화학계 기초화학물질111.4100.396.788.277.786.595.2101.6107.2109.7113.2123.9118.1112.8117.5100.6112.6109.6114.9115.9112.1100.8106.8103.7103.487.0104.1100.7101.4108.1118.3112.4104.1112.2107.3121.3104.095.8106.699.696.593.598.391.587.986.8100.2109.3120.4101.1105.699.2103.9100.5114.4113.4107.4103.2112.0128.2112.5113.3132.3146.5160.2144.1145.6134.2135.5126.7111.7125.6117.9108.5109.790.090.385.485.588.185.482.781.788.487.974.373.962.362.352.160.362.866.861.067.276.3
품목코드품목명출하지수(2015-01)출하지수(2015-02)출하지수(2015-03)출하지수(2015-04)출하지수(2015-05)출하지수(2015-06)출하지수(2015-07)출하지수(2015-08)출하지수(2015-09)출하지수(2015-10)출하지수(2015-11)출하지수(2015-12)출하지수(2016-01)출하지수(2016-02)출하지수(2016-03)출하지수(2016-04)출하지수(2016-05)출하지수(2016-06)출하지수(2016-07)출하지수(2016-08)출하지수(2016-09)출하지수(2016-10)출하지수(2016-11)출하지수(2016-12)출하지수(2017-01)출하지수(2017-02)출하지수(2017-03)출하지수(2017-04)출하지수(2017-05)출하지수(2017-06)출하지수(2017-07)출하지수(2017-08)출하지수(2017-09)출하지수(2017-10)출하지수(2017-11)출하지수(2017-12)출하지수(2018-01)출하지수(2018-02)출하지수(2018-03)출하지수(2018-04)출하지수(2018-05)출하지수(2018-06)출하지수(2018-07)출하지수(2018-08)출하지수(2018-09)출하지수(2018-10)출하지수(2018-11)출하지수(2018-12)출하지수(2019-01)출하지수(2019-02)출하지수(2019-03)출하지수(2019-04)출하지수(2019-05)출하지수(2019-06)출하지수(2019-07)출하지수(2019-08)출하지수(2019-09)출하지수(2019-10)출하지수(2019-11)출하지수(2019-12)출하지수(2020-01)출하지수(2020-02)출하지수(2020-03)출하지수(2020-04)출하지수(2020-05)출하지수(2020-06)출하지수(2020-07)출하지수(2020-08)출하지수(2020-09)출하지수(2020-10)출하지수(2020-11)출하지수(2020-12)출하지수(2021-01)출하지수(2021-02)출하지수(2021-03)출하지수(2021-04)출하지수(2021-05)출하지수(2021-06)출하지수(2021-07)출하지수(2021-08)출하지수(2021-09)출하지수(2021-10)출하지수(2021-11)출하지수(2021-12)출하지수(2022-01)출하지수(2022-02)출하지수(2022-03)출하지수(2022-04)출하지수(2022-05)출하지수(2022-06)출하지수(2022-07)출하지수(2022-08)출하지수(2022-09)출하지수(2022-10)출하지수(2022-11)출하지수(2022-12)
11432030일반목적용 기계장비85.581.0104.391.192.0116.1102.298.897.8113.0102.9115.484.485.2104.997.0111.0106.993.978.3100.988.6102.3114.488.092.9102.694.3100.2117.899.089.8103.076.895.1112.076.874.7113.592.094.8114.1109.090.085.5106.4105.6126.282.378.6102.791.8101.899.089.993.789.187.389.8107.873.789.894.585.599.0116.8116.4116.1106.598.597.6117.9101.498.5106.7130.8105.7144.3128.4122.6110.1119.2117.1120.691.491.496.592.694.799.9109.396.082.088.599.6102.9
11532040특수목적용 기계장비93.189.4113.1112.1107.8125.596.891.689.784.791.5104.686.589.5116.497.699.6117.888.997.1103.4103.3113.9139.8102.8108.4137.0136.2136.8135.4118.4109.0123.8106.7118.1139.7111.0111.3138.9122.3126.7123.0101.9100.397.3103.297.1120.489.483.7110.6101.1107.4109.986.588.493.095.597.5124.796.394.7119.9103.6100.0106.8130.2120.6133.293.6146.9134.3133.5118.1148.2135.3139.3140.3136.3144.7143.6122.6156.6136.7127.9104.8126.7115.6119.6132.4138.7147.8156.3132.1156.7138.6
11633000반도체·디스플레이장비86.079.5112.397.893.5108.2102.6110.1114.9110.693.990.772.771.7102.984.6100.6135.2109.2150.5154.0173.1176.5256.8186.4189.4229.7238.3273.8276.4199.2199.2192.7166.0184.6214.0186.9165.9222.7193.0182.5185.7157.7161.2160.6139.7126.3153.2112.7103.7126.0117.0115.2124.9105.997.6115.8109.4127.8199.9116.2118.9159.4175.6151.5158.8172.0155.9153.2131.9141.1196.5158.7156.0217.4210.1193.6200.2189.2158.2159.1165.3153.6190.5152.5128.0149.9154.8175.8188.0174.8191.7190.6195.2187.9185.1
11733010반도체·디스플레이장비86.079.5112.397.893.5108.2102.6110.1114.9110.693.990.772.771.7102.984.6100.6135.2109.2150.5154.0173.1176.5256.8186.4189.4229.7238.3273.8276.4199.2199.2192.7166.0184.6214.0186.9165.9222.7193.0182.5185.7157.7161.2160.6139.7126.3153.2112.7103.7126.0117.0115.2124.9105.997.6115.8109.4127.8199.9116.2118.9159.4175.6151.5158.8172.0155.9153.2131.9141.1196.5158.7156.0217.4210.1193.6200.2189.2158.2159.1165.3153.6190.5152.5128.0149.9154.8175.8188.0174.8191.7190.6195.2187.9185.1
11834000제조로봇 자동화장비99.390.298.988.8100.6109.5107.691.179.086.7119.5128.890.177.397.389.490.7122.793.197.898.3107.3122.0153.9116.1132.6151.1129.6147.1122.8128.1107.9117.693.5108.0135.091.7126.3121.0111.1112.2111.694.093.6108.0117.6109.5125.2104.992.299.191.0111.6135.4106.4108.9128.6114.596.1163.876.792.2141.6128.1113.2130.8104.093.7126.494.9141.8125.696.2100.8117.6115.2106.8113.5109.487.7106.899.0104.4108.197.772.689.996.5105.7114.2125.4114.6145.1121.1111.6120.2
11934010승강기 및 컨베이어 장치86.784.7107.4104.3101.9114.1106.190.995.999.297.1111.889.086.6106.399.1108.4114.0104.486.990.994.1100.1108.383.591.8106.7102.8107.1117.5107.792.1102.684.699.6102.992.084.2106.1102.7107.2108.4103.692.389.599.3100.8106.194.185.6111.2107.9111.9108.2104.891.995.2104.1100.4116.691.992.9109.596.594.2107.1101.892.799.894.2102.9113.795.290.8110.8110.2103.4115.2105.499.591.197.496.2111.4108.690.599.698.193.895.698.896.3119.994.795.1106.5
12034020산업용 로봇102.792.296.283.7100.3108.1108.291.373.382.5127.0134.590.574.294.386.284.9125.790.7103.0103.8115.2133.4174.5131.1150.2170.5142.3164.9127.9138.6116.2126.099.1113.7149.794.1144.5129.6117.1119.6119.796.4100.0121.7138.0125.3146.8120.9105.3105.694.7124.2161.4119.0127.8156.3131.6105.4200.879.6102.6170.7155.4133.9155.3117.2105.3151.9106.5174.1145.3108.3117.9135.5132.0122.6128.5122.192.1128.1114.3123.3123.5107.876.499.7110.7127.0139.5155.7140.7179.0151.6136.7145.7
12135000계측장비88.787.187.299.9102.596.1117.196.0115.396.895.8117.588.781.1110.6104.089.097.1114.297.192.1102.7115.8129.397.2100.2133.0132.7127.3160.8151.4129.0117.9104.6159.5119.9126.6108.1145.2127.4150.7179.9157.1150.0140.6149.8143.8137.8127.3112.9147.6133.7142.7131.2166.4134.1119.8136.6153.1128.1110.3119.1153.6139.3118.1148.6159.3187.0163.6143.5133.2163.6135.9120.1149.3153.0149.4172.4150.4124.8139.9144.4140.1141.1121.5126.0146.7140.5136.7136.9136.8132.7148.4134.2128.1128.1
12235010측정,시험,제어 등 장비85.284.680.398.6100.898.6121.793.0116.494.999.5126.687.275.9108.7102.187.197.7115.792.788.399.7115.6131.492.294.9131.7128.6122.3166.5156.6122.3109.3102.4170.2119.6125.5106.2147.7127.5155.9194.0162.7152.4142.8151.9151.4145.3129.1112.3147.4125.7140.9127.8172.2135.8120.8141.8163.5133.897.9109.5144.9133.2108.0136.2146.3184.3149.7133.0126.8161.9137.9120.2137.9146.5149.0168.8139.4117.8138.9136.3140.1141.5126.6132.1150.0135.1133.8139.1139.3136.9155.0130.8132.2132.8
12335020광학기기 장비102.397.1114.2104.9109.286.399.2107.7111.1104.581.482.294.3101.4118.1111.396.194.6108.5117.0109.8117.1119.5124.0120.9125.4141.8153.1151.6140.6133.3161.2158.3117.2117.9124.7136.7120.7139.8132.4133.4123.7138.1145.8136.7147.2116.0110.0124.4120.7155.1176.4157.1152.6147.4132.5120.6119.2112.7108.1172.5170.4202.3176.4172.5216.6231.0211.1239.5202.0171.8181.1134.7126.6212.1194.5161.0201.0215.2167.6153.4192.6149.3147.4104.3104.3139.8175.5160.4134.1131.4120.4125.3162.8117.8114.6