Overview

Dataset statistics

Number of variables26
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory234.3 B

Variable types

Numeric25
Text1

Dataset

Description부품소재 생산통계 생산통계(자체조사결과)와 통계청의 생산자물가 지수를 활용하여 부품소재 생산지수를 산출하는 가공통계 중 출하
Author산업통상자원부
URLhttps://www.data.go.kr/data/15068961/fileData.do

Alerts

11대코드 has unique valuesUnique
코드명 has unique valuesUnique
출하(2020-10)_전년동월대비증가율 has 2 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-12 05:01:39.175059
Analysis finished2023-12-12 05:01:39.482717
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

11대코드
Real number (ℝ)

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19944.369
Minimum0
Maximum27110
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:39.568518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11181
Q114045
median22050
Q325025
95-th percentile27059
Maximum27110
Range27110
Interquartile range (IQR)10980

Descriptive statistics

Standard deviation5867.8176
Coefficient of variation (CV)0.29420924
Kurtosis-0.40383597
Mean19944.369
Median Absolute Deviation (MAD)3980
Skewness-0.63977382
Sum2054270
Variance34431284
MonotonicityStrictly increasing
2023-12-12T14:01:39.751544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
1.0%
11000 1
 
1.0%
25020 1
 
1.0%
25010 1
 
1.0%
25000 1
 
1.0%
24090 1
 
1.0%
24070 1
 
1.0%
24060 1
 
1.0%
24050 1
 
1.0%
24040 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
0 1
1.0%
11000 1
1.0%
11010 1
1.0%
11020 1
1.0%
11030 1
1.0%
11090 1
1.0%
12000 1
1.0%
12010 1
1.0%
12020 1
1.0%
12030 1
1.0%
ValueCountFrequency (%)
27110 1
1.0%
27100 1
1.0%
27090 1
1.0%
27080 1
1.0%
27070 1
1.0%
27060 1
1.0%
27050 1
1.0%
27040 1
1.0%
27030 1
1.0%
27020 1
1.0%

코드명
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T14:01:40.049352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.7378641
Min length2

Characters and Unicode

Total characters1003
Distinct characters176
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

Unique103 ?
Unique (%)100.0%

Sample

1st row소재·부품
2nd row섬유제품
3rd row제사 및 방적
4th row직물직조
5th row섬유염색 및 가공
ValueCountFrequency (%)
및 45
 
16.8%
기타 18
 
6.7%
부품 8
 
3.0%
기계 4
 
1.5%
전자부품 3
 
1.1%
비철금속 3
 
1.1%
산업용 3
 
1.1%
자동차 2
 
0.7%
기계부품 2
 
0.7%
평판디스플레이 2
 
0.7%
Other values (169) 178
66.4%
2023-12-12T14:01:40.567550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
16.5%
기 81
 
8.1%
품 48
 
4.8%
및 45
 
4.5%
부 31
 
3.1%
제 27
 
2.7%
용 21
 
2.1%
금 20
 
2.0%
타 18
 
1.8%
계 17
 
1.7%
Other values (166) 530
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
83.2%
Space Separator 165
 
16.5%
Decimal Number 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 81
 
9.7%
품 48
 
5.8%
및 45
 
5.4%
부 31
 
3.7%
제 27
 
3.2%
용 21
 
2.5%
금 20
 
2.4%
타 18
 
2.2%
계 17
 
2.0%
전 16
 
1.9%
Other values (162) 510
61.2%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
165
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 834
83.2%
Common 169
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 81
 
9.7%
품 48
 
5.8%
및 45
 
5.4%
부 31
 
3.7%
제 27
 
3.2%
용 21
 
2.5%
금 20
 
2.4%
타 18
 
2.2%
계 17
 
2.0%
전 16
 
1.9%
Other values (162) 510
61.2%
Common
ValueCountFrequency (%)
165
97.6%
1 2
 
1.2%
· 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 834
83.2%
ASCII 168
 
16.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
98.2%
1 2
 
1.2%
. 1
 
0.6%
Hangul
ValueCountFrequency (%)
기 81
 
9.7%
품 48
 
5.8%
및 45
 
5.4%
부 31
 
3.7%
제 27
 
3.2%
용 21
 
2.5%
금 20
 
2.4%
타 18
 
2.2%
계 17
 
2.0%
전 16
 
1.9%
Other values (162) 510
61.2%
None
ValueCountFrequency (%)
· 1
100.0%

출하(2020-01)
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.271845
Minimum34.9
Maximum236.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:40.764413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.9
5-th percentile59.21
Q181.35
median91.7
Q399.15
95-th percentile129.77
Maximum236.1
Range201.2
Interquartile range (IQR)17.8

Descriptive statistics

Standard deviation27.556855
Coefficient of variation (CV)0.29864858
Kurtosis11.628734
Mean92.271845
Median Absolute Deviation (MAD)8.7
Skewness2.3852981
Sum9504
Variance759.38028
MonotonicityNot monotonic
2023-12-12T14:01:40.977101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.3 3
 
2.9%
101.0 2
 
1.9%
96.9 2
 
1.9%
96.3 2
 
1.9%
83.2 2
 
1.9%
90.6 2
 
1.9%
79.1 2
 
1.9%
94.5 2
 
1.9%
84.8 1
 
1.0%
154.4 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
34.9 1
1.0%
37.4 1
1.0%
40.8 1
1.0%
42.7 1
1.0%
56.2 1
1.0%
59.1 1
1.0%
60.2 1
1.0%
62.4 1
1.0%
62.8 1
1.0%
63.9 1
1.0%
ValueCountFrequency (%)
236.1 1
1.0%
226.0 1
1.0%
154.4 1
1.0%
135.7 1
1.0%
134.6 1
1.0%
130.6 1
1.0%
122.3 1
1.0%
119.2 1
1.0%
118.8 1
1.0%
117.2 1
1.0%

출하(2020-02)
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.778641
Minimum36.7
Maximum240.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:41.197424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.7
5-th percentile58.79
Q178.35
median93.3
Q3103.6
95-th percentile135.04
Maximum240.7
Range204
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation29.62383
Coefficient of variation (CV)0.31255808
Kurtosis9.7412687
Mean94.778641
Median Absolute Deviation (MAD)12
Skewness2.2828982
Sum9762.2
Variance877.5713
MonotonicityNot monotonic
2023-12-12T14:01:41.467868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.0 2
 
1.9%
87.1 2
 
1.9%
100.2 2
 
1.9%
102.2 2
 
1.9%
83.0 2
 
1.9%
86.1 2
 
1.9%
105.3 2
 
1.9%
76.2 2
 
1.9%
93.8 1
 
1.0%
113.8 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
36.7 1
1.0%
41.3 1
1.0%
43.4 1
1.0%
50.5 1
1.0%
56.5 1
1.0%
58.1 1
1.0%
65.0 1
1.0%
66.6 1
1.0%
66.7 1
1.0%
66.8 1
1.0%
ValueCountFrequency (%)
240.7 1
1.0%
237.0 1
1.0%
158.1 1
1.0%
158.0 1
1.0%
140.2 1
1.0%
135.1 1
1.0%
134.5 1
1.0%
130.1 1
1.0%
127.1 1
1.0%
126.6 1
1.0%

출하(2020-03)
Real number (ℝ)

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.07573
Minimum34
Maximum310.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:41.701587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile65.17
Q191.95
median105.1
Q3118.05
95-th percentile163.58
Maximum310.3
Range276.3
Interquartile range (IQR)26.1

Descriptive statistics

Standard deviation38.511907
Coefficient of variation (CV)0.35307494
Kurtosis12.831722
Mean109.07573
Median Absolute Deviation (MAD)13.3
Skewness2.8318743
Sum11234.8
Variance1483.167
MonotonicityNot monotonic
2023-12-12T14:01:41.898129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.8 2
 
1.9%
100.2 2
 
1.9%
121.1 2
 
1.9%
104.8 2
 
1.9%
107.5 2
 
1.9%
310.3 1
 
1.0%
204.6 1
 
1.0%
304.6 1
 
1.0%
102.2 1
 
1.0%
126.1 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
34.0 1
1.0%
48.0 1
1.0%
53.8 1
1.0%
61.5 1
1.0%
63.3 1
1.0%
65.1 1
1.0%
65.8 1
1.0%
67.7 1
1.0%
67.8 1
1.0%
68.1 1
1.0%
ValueCountFrequency (%)
310.3 1
1.0%
304.6 1
1.0%
204.6 1
1.0%
195.5 1
1.0%
175.2 1
1.0%
163.9 1
1.0%
160.7 1
1.0%
139.8 1
1.0%
139.2 1
1.0%
137.9 1
1.0%

출하(2020-04)
Real number (ℝ)

Distinct100
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.226214
Minimum36.6
Maximum229.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:42.072262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.6
5-th percentile52.63
Q175.3
median91.5
Q3109.3
95-th percentile161.69
Maximum229.4
Range192.8
Interquartile range (IQR)34

Descriptive statistics

Standard deviation31.969679
Coefficient of variation (CV)0.33572351
Kurtosis3.8946202
Mean95.226214
Median Absolute Deviation (MAD)16.7
Skewness1.5041578
Sum9808.3
Variance1022.0604
MonotonicityNot monotonic
2023-12-12T14:01:42.581943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112.0 2
 
1.9%
88.6 2
 
1.9%
85.5 2
 
1.9%
103.3 1
 
1.0%
86.2 1
 
1.0%
162.8 1
 
1.0%
211.2 1
 
1.0%
88.4 1
 
1.0%
100.6 1
 
1.0%
101.4 1
 
1.0%
Other values (90) 90
87.4%
ValueCountFrequency (%)
36.6 1
1.0%
45.9 1
1.0%
46.8 1
1.0%
49.4 1
1.0%
52.2 1
1.0%
52.5 1
1.0%
53.8 1
1.0%
56.2 1
1.0%
61.5 1
1.0%
62.0 1
1.0%
ValueCountFrequency (%)
229.4 1
1.0%
211.2 1
1.0%
174.1 1
1.0%
171.0 1
1.0%
168.5 1
1.0%
162.8 1
1.0%
151.7 1
1.0%
138.6 1
1.0%
136.4 1
1.0%
133.0 1
1.0%

출하(2020-05)
Real number (ℝ)

Distinct99
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.786408
Minimum32.9
Maximum259.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:42.758876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.9
5-th percentile50.51
Q172.4
median85.1
Q3102.8
95-th percentile149.7
Maximum259.8
Range226.9
Interquartile range (IQR)30.4

Descriptive statistics

Standard deviation33.911598
Coefficient of variation (CV)0.37353166
Kurtosis7.4766108
Mean90.786408
Median Absolute Deviation (MAD)16.8
Skewness2.133917
Sum9351
Variance1149.9965
MonotonicityNot monotonic
2023-12-12T14:01:42.955561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.8 2
 
1.9%
88.5 2
 
1.9%
74.8 2
 
1.9%
83.5 2
 
1.9%
150.6 1
 
1.0%
259.8 1
 
1.0%
177.6 1
 
1.0%
178.6 1
 
1.0%
88.7 1
 
1.0%
82.2 1
 
1.0%
Other values (89) 89
86.4%
ValueCountFrequency (%)
32.9 1
1.0%
38.1 1
1.0%
45.4 1
1.0%
46.2 1
1.0%
50.2 1
1.0%
50.3 1
1.0%
52.4 1
1.0%
52.5 1
1.0%
57.8 1
1.0%
59.5 1
1.0%
ValueCountFrequency (%)
259.8 1
1.0%
224.1 1
1.0%
178.6 1
1.0%
177.6 1
1.0%
154.4 1
1.0%
150.6 1
1.0%
141.6 1
1.0%
136.3 1
1.0%
130.1 1
1.0%
126.7 1
1.0%

출하(2020-06)
Real number (ℝ)

Distinct96
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.558252
Minimum38.5
Maximum305.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:43.135917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.5
5-th percentile57.92
Q177.05
median94
Q3108.8
95-th percentile154.75
Maximum305.5
Range267
Interquartile range (IQR)31.75

Descriptive statistics

Standard deviation39.632037
Coefficient of variation (CV)0.40211789
Kurtosis13.166823
Mean98.558252
Median Absolute Deviation (MAD)16.9
Skewness2.9708468
Sum10151.5
Variance1570.6983
MonotonicityNot monotonic
2023-12-12T14:01:43.327173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.7 3
 
2.9%
112.0 2
 
1.9%
89.6 2
 
1.9%
87.8 2
 
1.9%
95.6 2
 
1.9%
84.9 2
 
1.9%
102.7 1
 
1.0%
101.2 1
 
1.0%
112.7 1
 
1.0%
104.6 1
 
1.0%
Other values (86) 86
83.5%
ValueCountFrequency (%)
38.5 1
1.0%
39.4 1
1.0%
46.8 1
1.0%
50.5 1
1.0%
52.8 1
1.0%
57.7 1
1.0%
59.9 1
1.0%
61.5 1
1.0%
63.9 1
1.0%
64.9 1
1.0%
ValueCountFrequency (%)
305.5 1
1.0%
304.0 1
1.0%
197.3 1
1.0%
173.6 1
1.0%
170.7 1
1.0%
155.3 1
1.0%
149.8 1
1.0%
137.1 1
1.0%
131.2 1
1.0%
131.0 1
1.0%

출하(2020-07)
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.370874
Minimum37.3
Maximum319.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:43.481774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.3
5-th percentile59.23
Q182.2
median92.4
Q3107.35
95-th percentile142.83
Maximum319.1
Range281.8
Interquartile range (IQR)25.15

Descriptive statistics

Standard deviation37.112272
Coefficient of variation (CV)0.37347233
Kurtosis14.214367
Mean99.370874
Median Absolute Deviation (MAD)12.9
Skewness2.965366
Sum10235.2
Variance1377.3207
MonotonicityNot monotonic
2023-12-12T14:01:43.628199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.4 3
 
2.9%
94.6 3
 
2.9%
90.9 3
 
2.9%
76.5 2
 
1.9%
92.0 2
 
1.9%
84.6 2
 
1.9%
97.1 1
 
1.0%
258.2 1
 
1.0%
173.6 1
 
1.0%
319.1 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
37.3 1
1.0%
40.5 1
1.0%
45.7 1
1.0%
53.1 1
1.0%
54.7 1
1.0%
58.9 1
1.0%
62.2 1
1.0%
62.4 1
1.0%
65.1 1
1.0%
65.6 1
1.0%
ValueCountFrequency (%)
319.1 1
1.0%
258.2 1
1.0%
189.6 1
1.0%
173.6 1
1.0%
161.5 1
1.0%
142.9 1
1.0%
142.2 1
1.0%
141.9 1
1.0%
136.7 1
1.0%
133.3 1
1.0%

출하(2020-08)
Real number (ℝ)

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.78932
Minimum35.9
Maximum356.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:43.764548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.9
5-th percentile53.43
Q171.4
median83.8
Q396.8
95-th percentile140.04
Maximum356.6
Range320.7
Interquartile range (IQR)25.4

Descriptive statistics

Standard deviation43.866987
Coefficient of variation (CV)0.47790948
Kurtosis18.718559
Mean91.78932
Median Absolute Deviation (MAD)13.1
Skewness3.7900404
Sum9454.3
Variance1924.3125
MonotonicityNot monotonic
2023-12-12T14:01:43.951668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.6 2
 
1.9%
72.1 2
 
1.9%
79.1 2
 
1.9%
87.1 2
 
1.9%
78.6 2
 
1.9%
106.9 1
 
1.0%
123.1 1
 
1.0%
73.3 1
 
1.0%
167.9 1
 
1.0%
314.9 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
35.9 1
1.0%
47.1 1
1.0%
48.3 1
1.0%
51.3 1
1.0%
52.2 1
1.0%
53.4 1
1.0%
53.7 1
1.0%
54.3 1
1.0%
55.8 1
1.0%
57.0 1
1.0%
ValueCountFrequency (%)
356.6 1
1.0%
314.9 1
1.0%
204.9 1
1.0%
195.8 1
1.0%
167.9 1
1.0%
140.7 1
1.0%
134.1 1
1.0%
126.2 1
1.0%
124.2 1
1.0%
123.5 1
1.0%

출하(2020-09)
Real number (ℝ)

Distinct100
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.38932
Minimum37.6
Maximum403.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:44.205936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.6
5-th percentile58.24
Q186.2
median97.6
Q3112.65
95-th percentile149.46
Maximum403.8
Range366.2
Interquartile range (IQR)26.45

Descriptive statistics

Standard deviation47.246516
Coefficient of variation (CV)0.44830459
Kurtosis19.831019
Mean105.38932
Median Absolute Deviation (MAD)13.5
Skewness3.8099662
Sum10855.1
Variance2232.2333
MonotonicityNot monotonic
2023-12-12T14:01:44.451312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.8 2
 
1.9%
84.5 2
 
1.9%
100.5 2
 
1.9%
125.9 1
 
1.0%
83.2 1
 
1.0%
328.9 1
 
1.0%
123.7 1
 
1.0%
122.4 1
 
1.0%
81.2 1
 
1.0%
131.3 1
 
1.0%
Other values (90) 90
87.4%
ValueCountFrequency (%)
37.6 1
1.0%
48.1 1
1.0%
48.9 1
1.0%
51.4 1
1.0%
55.3 1
1.0%
58.0 1
1.0%
60.4 1
1.0%
64.2 1
1.0%
65.9 1
1.0%
68.8 1
1.0%
ValueCountFrequency (%)
403.8 1
1.0%
328.9 1
1.0%
234.8 1
1.0%
218.1 1
1.0%
172.3 1
1.0%
150.4 1
1.0%
141.0 1
1.0%
136.9 1
1.0%
135.7 1
1.0%
135.0 1
1.0%

출하(2020-10)
Real number (ℝ)

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.67573
Minimum34
Maximum358.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:44.678815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile58.2
Q184.2
median99.6
Q3112.2
95-th percentile140.58
Maximum358.7
Range324.7
Interquartile range (IQR)28

Descriptive statistics

Standard deviation38.255743
Coefficient of variation (CV)0.37998973
Kurtosis20.3451
Mean100.67573
Median Absolute Deviation (MAD)15
Skewness3.3547756
Sum10369.6
Variance1463.5019
MonotonicityNot monotonic
2023-12-12T14:01:44.941336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.3 3
 
2.9%
73.2 2
 
1.9%
59.8 2
 
1.9%
84.2 2
 
1.9%
100.0 1
 
1.0%
201.6 1
 
1.0%
216.9 1
 
1.0%
124.9 1
 
1.0%
121.1 1
 
1.0%
86.6 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
34.0 1
1.0%
41.5 1
1.0%
44.6 1
1.0%
49.8 1
1.0%
50.3 1
1.0%
58.1 1
1.0%
59.1 1
1.0%
59.8 2
1.9%
60.8 1
1.0%
64.1 1
1.0%
ValueCountFrequency (%)
358.7 1
1.0%
216.9 1
1.0%
201.6 1
1.0%
156.9 1
1.0%
146.0 1
1.0%
140.7 1
1.0%
139.5 1
1.0%
138.2 1
1.0%
137.2 1
1.0%
134.2 1
1.0%

출하(2020-11)
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.06505
Minimum26.6
Maximum399.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:45.167126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.6
5-th percentile60.5
Q187.4
median100.4
Q3110.3
95-th percentile144.67
Maximum399.1
Range372.5
Interquartile range (IQR)22.9

Descriptive statistics

Standard deviation45.476061
Coefficient of variation (CV)0.43283719
Kurtosis22.020614
Mean105.06505
Median Absolute Deviation (MAD)12.2
Skewness3.9325856
Sum10821.7
Variance2068.0721
MonotonicityNot monotonic
2023-12-12T14:01:45.380019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.4 3
 
2.9%
63.9 2
 
1.9%
109.3 2
 
1.9%
116.2 2
 
1.9%
98.8 2
 
1.9%
97.9 2
 
1.9%
106.2 2
 
1.9%
121.7 1
 
1.0%
144.4 1
 
1.0%
156.6 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
26.6 1
1.0%
44.8 1
1.0%
48.7 1
1.0%
56.4 1
1.0%
57.5 1
1.0%
60.3 1
1.0%
62.3 1
1.0%
63.7 1
1.0%
63.9 2
1.9%
64.3 1
1.0%
ValueCountFrequency (%)
399.1 1
1.0%
330.2 1
1.0%
214.1 1
1.0%
174.3 1
1.0%
156.6 1
1.0%
144.7 1
1.0%
144.4 1
1.0%
136.0 1
1.0%
135.2 1
1.0%
134.8 1
1.0%

출하(2020-12)
Real number (ℝ)

Distinct99
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.26796
Minimum21.5
Maximum474.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:01:45.562077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.5
5-th percentile60.05
Q188.2
median103.2
Q3124.05
95-th percentile150.13
Maximum474.1
Range452.6
Interquartile range (IQR)35.85

Descriptive statistics

Standard deviation52.359034
Coefficient of variation (CV)0.47483452
Kurtosis25.143177
Mean110.26796
Median Absolute Deviation (MAD)17.4
Skewness4.1311626
Sum11357.6
Variance2741.4685
MonotonicityNot monotonic
2023-12-12T14:01:45.781799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.9 2
 
1.9%
76.6 2
 
1.9%
86.8 2
 
1.9%
92.2 2
 
1.9%
127.1 1
 
1.0%
90.7 1
 
1.0%
136.3 1
 
1.0%
60.5 1
 
1.0%
180.6 1
 
1.0%
474.1 1
 
1.0%
Other values (89) 89
86.4%
ValueCountFrequency (%)
21.5 1
1.0%
50.0 1
1.0%
52.4 1
1.0%
53.4 1
1.0%
58.8 1
1.0%
60.0 1
1.0%
60.5 1
1.0%
60.6 1
1.0%
62.2 1
1.0%
63.0 1
1.0%
ValueCountFrequency (%)
474.1 1
1.0%
331.3 1
1.0%
240.4 1
1.0%
180.6 1
1.0%
166.5 1
1.0%
150.7 1
1.0%
145.0 1
1.0%
143.7 1
1.0%
142.9 1
1.0%
141.9 1
1.0%

출하(2020-01)_전년동월대비증가율
Real number (ℝ)

Distinct88
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.9543689
Minimum-71.3
Maximum95.9
Zeros0
Zeros (%)0.0%
Negative80
Negative (%)77.7%
Memory size1.0 KiB
2023-12-12T14:01:45.973881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-71.3
5-th percentile-24.54
Q1-15.05
median-8.8
Q3-1.2
95-th percentile19.86
Maximum95.9
Range167.2
Interquartile range (IQR)13.85

Descriptive statistics

Standard deviation19.715664
Coefficient of variation (CV)-3.3111257
Kurtosis11.408068
Mean-5.9543689
Median Absolute Deviation (MAD)6.9
Skewness2.2748732
Sum-613.3
Variance388.70741
MonotonicityNot monotonic
2023-12-12T14:01:46.161890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 2
 
1.9%
-23.1 2
 
1.9%
-13.1 2
 
1.9%
-8.8 2
 
1.9%
-15.7 2
 
1.9%
-9.3 2
 
1.9%
-11.3 2
 
1.9%
-3.5 2
 
1.9%
-1.8 2
 
1.9%
-1.9 2
 
1.9%
Other values (78) 83
80.6%
ValueCountFrequency (%)
-71.3 1
1.0%
-38.6 1
1.0%
-32.0 1
1.0%
-27.6 1
1.0%
-26.0 1
1.0%
-24.7 1
1.0%
-23.1 2
1.9%
-22.3 1
1.0%
-22.1 1
1.0%
-21.1 1
1.0%
ValueCountFrequency (%)
95.9 1
1.0%
80.4 1
1.0%
63.6 1
1.0%
24.7 1
1.0%
23.5 1
1.0%
20.0 1
1.0%
18.6 1
1.0%
16.1 1
1.0%
11.0 1
1.0%
10.2 1
1.0%

출하(2020-02)_전년동월대비증가율
Real number (ℝ)

Distinct88
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7854369
Minimum-71.4
Maximum164.3
Zeros1
Zeros (%)1.0%
Negative27
Negative (%)26.2%
Memory size1.0 KiB
2023-12-12T14:01:46.384683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-71.4
5-th percentile-15.27
Q1-0.35
median7.4
Q312.75
95-th percentile26.2
Maximum164.3
Range235.7
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation21.660076
Coefficient of variation (CV)2.7821273
Kurtosis28.106101
Mean7.7854369
Median Absolute Deviation (MAD)6.9
Skewness3.4385629
Sum801.9
Variance469.1589
MonotonicityNot monotonic
2023-12-12T14:01:46.567217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 3
 
2.9%
10.8 3
 
2.9%
-0.5 2
 
1.9%
12.7 2
 
1.9%
7.9 2
 
1.9%
-2.0 2
 
1.9%
7.2 2
 
1.9%
7.5 2
 
1.9%
19.1 2
 
1.9%
4.6 2
 
1.9%
Other values (78) 81
78.6%
ValueCountFrequency (%)
-71.4 1
1.0%
-21.7 1
1.0%
-21.4 1
1.0%
-21.0 1
1.0%
-19.0 1
1.0%
-15.3 1
1.0%
-15.0 1
1.0%
-13.0 1
1.0%
-12.1 1
1.0%
-11.5 1
1.0%
ValueCountFrequency (%)
164.3 1
1.0%
70.0 1
1.0%
35.9 1
1.0%
32.9 1
1.0%
31.1 1
1.0%
26.2 2
1.9%
24.8 1
1.0%
21.7 1
1.0%
20.6 1
1.0%
20.0 1
1.0%

출하(2020-03)_전년동월대비증가율
Real number (ℝ)

Distinct84
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8223301
Minimum-66.9
Maximum68.7
Zeros0
Zeros (%)0.0%
Negative39
Negative (%)37.9%
Memory size1.0 KiB
2023-12-12T14:01:46.762765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-66.9
5-th percentile-20.17
Q1-4
median2.1
Q37.95
95-th percentile24.15
Maximum68.7
Range135.6
Interquartile range (IQR)11.95

Descriptive statistics

Standard deviation15.572827
Coefficient of variation (CV)8.5455575
Kurtosis7.0298515
Mean1.8223301
Median Absolute Deviation (MAD)6.1
Skewness0.33333905
Sum187.7
Variance242.51293
MonotonicityNot monotonic
2023-12-12T14:01:46.929875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3 3
 
2.9%
2.5 3
 
2.9%
1.3 3
 
2.9%
6.1 2
 
1.9%
10.3 2
 
1.9%
-3.6 2
 
1.9%
0.1 2
 
1.9%
-4.0 2
 
1.9%
2.7 2
 
1.9%
-0.4 2
 
1.9%
Other values (74) 80
77.7%
ValueCountFrequency (%)
-66.9 1
1.0%
-28.6 1
1.0%
-26.2 1
1.0%
-24.4 1
1.0%
-22.1 1
1.0%
-20.2 1
1.0%
-19.9 1
1.0%
-18.2 1
1.0%
-13.3 1
1.0%
-12.3 1
1.0%
ValueCountFrequency (%)
68.7 1
1.0%
52.2 1
1.0%
45.5 1
1.0%
29.8 1
1.0%
25.2 1
1.0%
24.3 1
1.0%
22.8 1
1.0%
20.0 1
1.0%
16.6 1
1.0%
14.3 1
1.0%

출하(2020-04)_전년동월대비증가율
Real number (ℝ)

Distinct96
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.3475728
Minimum-55.5
Maximum76.8
Zeros0
Zeros (%)0.0%
Negative71
Negative (%)68.9%
Memory size1.0 KiB
2023-12-12T14:01:47.131332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-55.5
5-th percentile-35.82
Q1-19.7
median-10.1
Q31.9
95-th percentile22.09
Maximum76.8
Range132.3
Interquartile range (IQR)21.6

Descriptive statistics

Standard deviation19.980033
Coefficient of variation (CV)-2.7192699
Kurtosis3.4909487
Mean-7.3475728
Median Absolute Deviation (MAD)12
Skewness1.066995
Sum-756.8
Variance399.20173
MonotonicityNot monotonic
2023-12-12T14:01:47.347121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-14.3 3
 
2.9%
1.9 3
 
2.9%
-3.0 2
 
1.9%
-23.2 2
 
1.9%
-12.5 2
 
1.9%
2.4 1
 
1.0%
61.9 1
 
1.0%
-10.1 1
 
1.0%
12.3 1
 
1.0%
-12.2 1
 
1.0%
Other values (86) 86
83.5%
ValueCountFrequency (%)
-55.5 1
1.0%
-46.5 1
1.0%
-41.8 1
1.0%
-38.4 1
1.0%
-37.5 1
1.0%
-36.0 1
1.0%
-34.2 1
1.0%
-33.1 1
1.0%
-29.9 1
1.0%
-29.1 1
1.0%
ValueCountFrequency (%)
76.8 1
1.0%
61.9 1
1.0%
44.6 1
1.0%
28.2 1
1.0%
24.3 1
1.0%
22.6 1
1.0%
17.5 1
1.0%
17.3 1
1.0%
15.8 1
1.0%
14.3 1
1.0%

출하(2020-05)_전년동월대비증가율
Real number (ℝ)

Distinct101
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-11.623301
Minimum-52.7
Maximum298.8
Zeros0
Zeros (%)0.0%
Negative83
Negative (%)80.6%
Memory size1.0 KiB
2023-12-12T14:01:47.560200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-52.7
5-th percentile-41.74
Q1-24.95
median-14.2
Q3-4.75
95-th percentile12.87
Maximum298.8
Range351.5
Interquartile range (IQR)20.2

Descriptive statistics

Standard deviation34.808738
Coefficient of variation (CV)-2.9947378
Kurtosis62.822247
Mean-11.623301
Median Absolute Deviation (MAD)10.2
Skewness7.0327866
Sum-1197.2
Variance1211.6483
MonotonicityNot monotonic
2023-12-12T14:01:48.149634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-28.5 2
 
1.9%
-22.6 2
 
1.9%
-21.9 1
 
1.0%
6.5 1
 
1.0%
28.8 1
 
1.0%
12.6 1
 
1.0%
-29.6 1
 
1.0%
-5.5 1
 
1.0%
-32.8 1
 
1.0%
-15.7 1
 
1.0%
Other values (91) 91
88.3%
ValueCountFrequency (%)
-52.7 1
1.0%
-51.1 1
1.0%
-44.4 1
1.0%
-44.1 1
1.0%
-43.0 1
1.0%
-41.8 1
1.0%
-41.2 1
1.0%
-40.0 1
1.0%
-38.3 1
1.0%
-38.0 1
1.0%
ValueCountFrequency (%)
298.8 1
1.0%
28.8 1
1.0%
16.3 1
1.0%
14.3 1
1.0%
13.5 1
1.0%
12.9 1
1.0%
12.6 1
1.0%
12.2 1
1.0%
10.0 1
1.0%
7.7 1
1.0%

출하(2020-06)_전년동월대비증가율
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.1436893
Minimum-66.5
Maximum116.9
Zeros0
Zeros (%)0.0%
Negative69
Negative (%)67.0%
Memory size1.0 KiB
2023-12-12T14:01:48.355847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-66.5
5-th percentile-29.51
Q1-13.2
median-4.1
Q32.35
95-th percentile18.85
Maximum116.9
Range183.4
Interquartile range (IQR)15.55

Descriptive statistics

Standard deviation19.580341
Coefficient of variation (CV)-4.7253399
Kurtosis14.885217
Mean-4.1436893
Median Absolute Deviation (MAD)8.3
Skewness2.2596067
Sum-426.8
Variance383.38974
MonotonicityNot monotonic
2023-12-12T14:01:48.570562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4 3
 
2.9%
-18.9 2
 
1.9%
-11.6 2
 
1.9%
-1.0 2
 
1.9%
-0.6 2
 
1.9%
3.7 2
 
1.9%
-13.4 2
 
1.9%
-5.1 2
 
1.9%
-0.9 1
 
1.0%
-2.5 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
-66.5 1
1.0%
-38.9 1
1.0%
-34.6 1
1.0%
-33.7 1
1.0%
-31.5 1
1.0%
-29.8 1
1.0%
-26.9 1
1.0%
-24.7 1
1.0%
-24.0 1
1.0%
-23.3 1
1.0%
ValueCountFrequency (%)
116.9 1
1.0%
59.0 1
1.0%
25.8 1
1.0%
23.8 1
1.0%
20.2 1
1.0%
18.9 1
1.0%
18.4 1
1.0%
14.2 1
1.0%
13.5 1
1.0%
11.9 1
1.0%

출하(2020-07)_전년동월대비증가율
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.4116505
Minimum-50.1
Maximum136.4
Zeros1
Zeros (%)1.0%
Negative64
Negative (%)62.1%
Memory size1.0 KiB
2023-12-12T14:01:48.766104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-50.1
5-th percentile-23.46
Q1-12.45
median-4.1
Q33.35
95-th percentile18.95
Maximum136.4
Range186.5
Interquartile range (IQR)15.8

Descriptive statistics

Standard deviation19.714418
Coefficient of variation (CV)-8.1746582
Kurtosis23.611526
Mean-2.4116505
Median Absolute Deviation (MAD)8
Skewness3.3943213
Sum-248.4
Variance388.65829
MonotonicityNot monotonic
2023-12-12T14:01:48.958847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-21.3 2
 
1.9%
-17.2 2
 
1.9%
-3.2 2
 
1.9%
8.1 2
 
1.9%
-8.2 2
 
1.9%
-16.8 2
 
1.9%
3.2 2
 
1.9%
-13.8 2
 
1.9%
-0.2 1
 
1.0%
20.8 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
-50.1 1
1.0%
-34.9 1
1.0%
-34.1 1
1.0%
-33.4 1
1.0%
-26.3 1
1.0%
-23.7 1
1.0%
-21.3 2
1.9%
-20.1 1
1.0%
-19.6 1
1.0%
-17.8 1
1.0%
ValueCountFrequency (%)
136.4 1
1.0%
39.5 1
1.0%
34.9 1
1.0%
20.8 1
1.0%
19.3 1
1.0%
19.1 1
1.0%
17.6 1
1.0%
17.4 1
1.0%
16.1 1
1.0%
15.9 1
1.0%

출하(2020-08)_전년동월대비증가율
Real number (ℝ)

Distinct92
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.3271845
Minimum-51.7
Maximum38.8
Zeros0
Zeros (%)0.0%
Negative71
Negative (%)68.9%
Memory size1.0 KiB
2023-12-12T14:01:49.137174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-51.7
5-th percentile-24.66
Q1-13.25
median-5.6
Q33.5
95-th percentile14.77
Maximum38.8
Range90.5
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation13.334315
Coefficient of variation (CV)-2.5030699
Kurtosis1.4495219
Mean-5.3271845
Median Absolute Deviation (MAD)8.7
Skewness0.077306061
Sum-548.7
Variance177.80396
MonotonicityNot monotonic
2023-12-12T14:01:49.330156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12.0 3
 
2.9%
-12.4 3
 
2.9%
3.5 2
 
1.9%
-1.8 2
 
1.9%
-12.1 2
 
1.9%
9.3 2
 
1.9%
-22.1 2
 
1.9%
-11.6 2
 
1.9%
-16.6 2
 
1.9%
15.3 1
 
1.0%
Other values (82) 82
79.6%
ValueCountFrequency (%)
-51.7 1
1.0%
-34.6 1
1.0%
-28.0 1
1.0%
-27.1 1
1.0%
-26.3 1
1.0%
-24.7 1
1.0%
-24.3 1
1.0%
-22.1 2
1.9%
-20.0 1
1.0%
-19.0 1
1.0%
ValueCountFrequency (%)
38.8 1
1.0%
28.8 1
1.0%
17.7 1
1.0%
15.7 1
1.0%
15.3 1
1.0%
14.8 1
1.0%
14.5 1
1.0%
13.4 1
1.0%
13.3 1
1.0%
12.6 1
1.0%

출하(2020-09)_전년동월대비증가율
Real number (ℝ)

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0543689
Minimum-54.5
Maximum95.1
Zeros0
Zeros (%)0.0%
Negative24
Negative (%)23.3%
Memory size1.0 KiB
2023-12-12T14:01:49.552591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-54.5
5-th percentile-15.33
Q10.85
median7.4
Q314.75
95-th percentile29.05
Maximum95.1
Range149.6
Interquartile range (IQR)13.9

Descriptive statistics

Standard deviation16.831528
Coefficient of variation (CV)2.0897389
Kurtosis8.2470239
Mean8.0543689
Median Absolute Deviation (MAD)7.1
Skewness1.0436578
Sum829.6
Variance283.30035
MonotonicityNot monotonic
2023-12-12T14:01:49.740079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.1 2
 
1.9%
3.8 2
 
1.9%
13.5 2
 
1.9%
4.5 2
 
1.9%
7.1 2
 
1.9%
23.3 1
 
1.0%
33.2 1
 
1.0%
19.7 1
 
1.0%
60.7 1
 
1.0%
23.5 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
-54.5 1
1.0%
-28.2 1
1.0%
-17.7 1
1.0%
-17.0 1
1.0%
-15.8 1
1.0%
-15.4 1
1.0%
-14.7 1
1.0%
-14.6 1
1.0%
-13.0 1
1.0%
-11.6 1
1.0%
ValueCountFrequency (%)
95.1 1
1.0%
60.7 1
1.0%
39.4 1
1.0%
33.2 1
1.0%
30.3 1
1.0%
29.1 1
1.0%
28.6 1
1.0%
27.4 1
1.0%
26.7 1
1.0%
23.5 1
1.0%

출하(2020-10)_전년동월대비증가율
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.6223301
Minimum-62.1
Maximum38.1
Zeros2
Zeros (%)1.9%
Negative59
Negative (%)57.3%
Memory size1.0 KiB
2023-12-12T14:01:49.907679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-62.1
5-th percentile-23.8
Q1-9.25
median-2.4
Q34.4
95-th percentile17.57
Maximum38.1
Range100.2
Interquartile range (IQR)13.65

Descriptive statistics

Standard deviation14.308423
Coefficient of variation (CV)-5.4563775
Kurtosis3.4378224
Mean-2.6223301
Median Absolute Deviation (MAD)6.9
Skewness-0.59510987
Sum-270.1
Variance204.73097
MonotonicityNot monotonic
2023-12-12T14:01:50.068643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.6 3
 
2.9%
4.7 2
 
1.9%
-1.5 2
 
1.9%
5.0 2
 
1.9%
15.0 2
 
1.9%
0.0 2
 
1.9%
-0.6 2
 
1.9%
-3.6 2
 
1.9%
0.6 2
 
1.9%
-20.7 2
 
1.9%
Other values (82) 82
79.6%
ValueCountFrequency (%)
-62.1 1
1.0%
-47.6 1
1.0%
-28.9 1
1.0%
-27.3 1
1.0%
-25.2 1
1.0%
-23.9 1
1.0%
-22.9 1
1.0%
-22.8 1
1.0%
-20.8 1
1.0%
-20.7 2
1.9%
ValueCountFrequency (%)
38.1 1
1.0%
35.5 1
1.0%
30.9 1
1.0%
19.2 1
1.0%
19.0 1
1.0%
17.8 1
1.0%
15.5 1
1.0%
15.0 2
1.9%
14.9 1
1.0%
12.8 1
1.0%

출하(2020-11)_전년동월대비증가율
Real number (ℝ)

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0572816
Minimum-61
Maximum126.5
Zeros0
Zeros (%)0.0%
Negative37
Negative (%)35.9%
Memory size1.0 KiB
2023-12-12T14:01:50.195184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-61
5-th percentile-17.29
Q1-3.45
median3.1
Q38.85
95-th percentile34.95
Maximum126.5
Range187.5
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation20.395081
Coefficient of variation (CV)5.0267848
Kurtosis14.252587
Mean4.0572816
Median Absolute Deviation (MAD)5.8
Skewness2.1982258
Sum417.9
Variance415.95933
MonotonicityNot monotonic
2023-12-12T14:01:50.373222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.0 3
 
2.9%
2.1 2
 
1.9%
11.1 2
 
1.9%
7.4 2
 
1.9%
3.1 2
 
1.9%
8.9 2
 
1.9%
4.5 2
 
1.9%
6.6 2
 
1.9%
3.6 2
 
1.9%
-8.7 2
 
1.9%
Other values (80) 82
79.6%
ValueCountFrequency (%)
-61.0 1
1.0%
-52.4 1
1.0%
-32.2 1
1.0%
-18.8 1
1.0%
-18.1 1
1.0%
-17.3 1
1.0%
-17.2 1
1.0%
-15.3 1
1.0%
-14.7 1
1.0%
-11.4 1
1.0%
ValueCountFrequency (%)
126.5 1
1.0%
66.1 1
1.0%
62.6 1
1.0%
45.6 1
1.0%
37.2 1
1.0%
35.4 1
1.0%
30.9 1
1.0%
24.5 1
1.0%
15.6 1
1.0%
15.0 1
1.0%

출하(2020-12)_전년동월대비증가율
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82427184
Minimum-40.5
Maximum63.5
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)47.6%
Memory size1.0 KiB
2023-12-12T14:01:50.556388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40.5
5-th percentile-26.33
Q1-7.65
median0.8
Q37.9
95-th percentile24.39
Maximum63.5
Range104
Interquartile range (IQR)15.55

Descriptive statistics

Standard deviation16.116691
Coefficient of variation (CV)19.552641
Kurtosis2.9379852
Mean0.82427184
Median Absolute Deviation (MAD)7.6
Skewness0.56012302
Sum84.9
Variance259.74774
MonotonicityNot monotonic
2023-12-12T14:01:50.713680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1 2
 
1.9%
6.7 2
 
1.9%
5.5 2
 
1.9%
-4.9 2
 
1.9%
9.2 2
 
1.9%
0.8 2
 
1.9%
7.9 2
 
1.9%
6.6 2
 
1.9%
-0.5 2
 
1.9%
24.1 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
-40.5 1
1.0%
-40.2 1
1.0%
-31.7 1
1.0%
-30.7 1
1.0%
-29.3 1
1.0%
-26.4 1
1.0%
-25.7 1
1.0%
-24.6 1
1.0%
-22.0 1
1.0%
-15.6 1
1.0%
ValueCountFrequency (%)
63.5 1
1.0%
54.1 1
1.0%
34.4 1
1.0%
33.0 1
1.0%
31.8 1
1.0%
24.4 1
1.0%
24.3 1
1.0%
24.1 1
1.0%
23.5 1
1.0%
17.7 1
1.0%

Sample

11대코드코드명출하(2020-01)출하(2020-02)출하(2020-03)출하(2020-04)출하(2020-05)출하(2020-06)출하(2020-07)출하(2020-08)출하(2020-09)출하(2020-10)출하(2020-11)출하(2020-12)출하(2020-01)_전년동월대비증가율출하(2020-02)_전년동월대비증가율출하(2020-03)_전년동월대비증가율출하(2020-04)_전년동월대비증가율출하(2020-05)_전년동월대비증가율출하(2020-06)_전년동월대비증가율출하(2020-07)_전년동월대비증가율출하(2020-08)_전년동월대비증가율출하(2020-09)_전년동월대비증가율출하(2020-10)_전년동월대비증가율출하(2020-11)_전년동월대비증가율출하(2020-12)_전년동월대비증가율
00소재·부품101.0101.0122.6103.3101.9112.0110.5106.9125.9117.7121.7127.1-1.48.68.8-0.9-7.1-0.4-0.2-1.413.14.710.210.2
111000섬유제품68.873.677.062.257.863.966.964.472.874.572.469.5-13.88.6-11.2-24.8-29.9-15.6-17.2-12.4-2.1-9.3-5.9-7.6
211010제사 및 방적59.158.161.552.552.557.758.959.668.864.760.358.8-9.43.1-11.3-25.5-22.6-11.8-11.9-12.05.7-5.8-8.5-9.3
311020직물직조60.268.065.149.445.450.553.153.760.460.862.360.6-20.88.3-26.2-38.4-44.4-31.5-34.1-24.3-17.7-20.7-14.7-14.9
411030섬유염색 및 가공74.576.277.956.252.459.965.161.670.573.274.773.7-10.210.8-10.4-37.5-40.0-24.7-23.7-11.9-7.2-15.8-8.7-9.2
511090기타 섬유제품83.390.5103.289.380.687.990.482.392.0100.293.286.8-10.411.87.0-0.7-11.06.82.71.814.84.17.02.5
612000화학물질 및 화학제품100.5102.3116.1111.4109.3110.9114.0104.6112.3113.0109.3106.2-7.74.54.94.86.113.58.52.913.59.18.34.7
712010석유화학계 기초화학물질119.2134.5125.7174.1224.1170.7189.6204.9218.1126.757.5110.280.4164.329.876.8298.8116.917.67.729.119.0-61.0-30.7
812020기타 기초유기화학물질106.4107.1117.0112.5113.9120.4114.1106.0105.9114.6109.3106.9-14.0-3.5-5.9-2.97.718.41.0-6.74.511.514.07.9
912030기타 기초무기화학물질88.187.192.175.773.572.984.679.186.684.382.287.8-1.88.1-5.1-11.6-16.0-12.1-8.2-7.53.6-4.0-2.0-3.3
11대코드코드명출하(2020-01)출하(2020-02)출하(2020-03)출하(2020-04)출하(2020-05)출하(2020-06)출하(2020-07)출하(2020-08)출하(2020-09)출하(2020-10)출하(2020-11)출하(2020-12)출하(2020-01)_전년동월대비증가율출하(2020-02)_전년동월대비증가율출하(2020-03)_전년동월대비증가율출하(2020-04)_전년동월대비증가율출하(2020-05)_전년동월대비증가율출하(2020-06)_전년동월대비증가율출하(2020-07)_전년동월대비증가율출하(2020-08)_전년동월대비증가율출하(2020-09)_전년동월대비증가율출하(2020-10)_전년동월대비증가율출하(2020-11)_전년동월대비증가율출하(2020-12)_전년동월대비증가율
9327020트레일러 부품79.156.578.778.183.299.388.466.998.984.272.060.0-10.6-12.1-12.3-19.4-14.22.1-8.0-10.717.4-3.2-15.3-26.4
9427030자동차 엔진용 부품87.279.3105.178.062.277.290.272.898.497.598.891.9-13.1-3.72.7-23.3-38.3-20.7-13.8-18.17.11.83.7-4.9
9527040자동차 차체용 부품90.680.2108.685.577.890.2107.185.5119.6114.8107.9107.0-9.7-2.66.1-15.4-28.5-12.3-2.7-1.827.412.16.20.1
9627050자동차부품79.574.698.674.959.573.990.972.999.0100.3102.998.2-20.8-9.4-3.6-24.7-38.0-19.0-12.8-12.011.3-2.56.60.8
9727060선박 구성부분품62.865.067.761.562.168.165.653.465.959.866.263.3-6.435.912.4-11.1-6.56.41.6-4.08.0-10.70.2-12.6
9827070철도차량부품 및 관련장치56.268.363.364.565.873.569.659.984.564.187.3121.7-1.019.4-22.15.2-4.1-0.4-13.7-28.026.7-22.837.212.4
9927080항공기용 엔진 및 부품93.097.196.466.964.438.554.751.348.944.648.762.2-11.37.7-9.9-33.1-41.8-66.5-50.1-51.7-54.5-62.1-52.4-40.2
10027090모터사이클64.166.667.865.066.968.977.763.872.866.063.763.0-9.826.22.5-9.3-5.1-0.7-3.9-4.11.5-11.9-7.2-10.0
10127100자전거 및 환자용 차량64.466.768.163.563.064.967.252.264.259.863.964.6-9.826.22.5-11.4-10.6-6.7-6.9-16.7-3.4-17.4-8.7-13.6
10227110운송장비용 의자94.5105.6106.695.695.4101.390.988.5101.7103.2103.5117.6-1.819.17.21.6-2.66.9-8.5-8.214.5-1.2-1.75.5