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 생산
Author산업통상자원부
URLhttps://www.data.go.kr/data/3040007/fileData.do

Alerts

11대코드 has unique valuesUnique
코드명 has unique valuesUnique
생산(2020-12)_전년동월대비증가율 has 4 (3.9%) zerosZeros

Reproduction

Analysis started2023-12-12 03:20:31.201838
Analysis finished2023-12-12 03:20:31.519244
Duration0.32 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
2023-12-12T12:20:31.610760image/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
2023-12-12T12:20:31.785206image/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
2023-12-12T12:20:32.060597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length9.8640777
Min length2

Characters and Unicode

Total characters1016
Distinct characters177
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%
2023-12-12T12:20:32.571912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
16.2%
기 81
 
8.0%
품 48
 
4.7%
및 45
 
4.4%
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 (167) 543
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
82.1%
Space Separator 165
 
16.2%
Other Punctuation 15
 
1.5%
Decimal Number 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 (%)
, 13
86.7%
. 1
 
6.7%
· 1
 
6.7%
Space Separator
ValueCountFrequency (%)
165
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 834
82.1%
Common 182
 
17.9%

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
90.7%
, 13
 
7.1%
1 2
 
1.1%
. 1
 
0.5%
· 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 834
82.1%
ASCII 181
 
17.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
91.2%
, 13
 
7.2%
1 2
 
1.1%
. 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%

생산(2020-01)
Real number (ℝ)

Distinct91
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.75534
Minimum34.9
Maximum289.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:32.772005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.9
5-th percentile57.62
Q180.6
median91.7
Q3102.5
95-th percentile131.95
Maximum289.6
Range254.7
Interquartile range (IQR)21.9

Descriptive statistics

Standard deviation31.616727
Coefficient of variation (CV)0.33366696
Kurtosis14.791537
Mean94.75534
Median Absolute Deviation (MAD)11.1
Skewness2.8436081
Sum9759.8
Variance999.6174
MonotonicityNot monotonic
2023-12-12T12:20:33.008291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.0 3
 
2.9%
97.9 3
 
2.9%
77.3 2
 
1.9%
91.7 2
 
1.9%
94.3 2
 
1.9%
98.0 2
 
1.9%
91.4 2
 
1.9%
79.7 2
 
1.9%
92.5 2
 
1.9%
70.7 2
 
1.9%
Other values (81) 81
78.6%
ValueCountFrequency (%)
34.9 1
1.0%
42.8 1
1.0%
47.4 1
1.0%
47.6 1
1.0%
51.3 1
1.0%
57.6 1
1.0%
57.8 1
1.0%
59.0 1
1.0%
62.7 1
1.0%
63.4 1
1.0%
ValueCountFrequency (%)
289.6 1
1.0%
202.4 1
1.0%
180.4 1
1.0%
170.8 1
1.0%
136.1 1
1.0%
132.1 1
1.0%
130.6 1
1.0%
125.9 1
1.0%
122.6 1
1.0%
119.6 1
1.0%

생산(2020-02)
Real number (ℝ)

Distinct93
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.47767
Minimum36.6
Maximum277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:33.220208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.6
5-th percentile59.94
Q178.4
median94.8
Q3106.65
95-th percentile141.1
Maximum277
Range240.4
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation33.396055
Coefficient of variation (CV)0.3461532
Kurtosis11.933325
Mean96.47767
Median Absolute Deviation (MAD)14.2
Skewness2.661257
Sum9937.2
Variance1115.2965
MonotonicityNot monotonic
2023-12-12T12:20:33.465276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.8 2
 
1.9%
99.7 2
 
1.9%
89.7 2
 
1.9%
108.8 2
 
1.9%
97.0 2
 
1.9%
76.4 2
 
1.9%
98.1 2
 
1.9%
91.5 2
 
1.9%
77.2 2
 
1.9%
96.9 2
 
1.9%
Other values (83) 83
80.6%
ValueCountFrequency (%)
36.6 1
1.0%
39.8 1
1.0%
51.0 1
1.0%
55.5 1
1.0%
55.6 1
1.0%
59.9 1
1.0%
60.3 1
1.0%
60.8 1
1.0%
63.1 1
1.0%
63.3 1
1.0%
ValueCountFrequency (%)
277.0 1
1.0%
253.5 1
1.0%
175.9 1
1.0%
165.0 1
1.0%
147.2 1
1.0%
141.7 1
1.0%
135.7 1
1.0%
132.1 1
1.0%
123.6 1
1.0%
123.3 1
1.0%

생산(2020-03)
Real number (ℝ)

Distinct93
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.73981
Minimum33.9
Maximum305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:33.696236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.9
5-th percentile63.6
Q190.9
median104.6
Q3121.4
95-th percentile152.3
Maximum305
Range271.1
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation37.992495
Coefficient of variation (CV)0.34620523
Kurtosis10.370088
Mean109.73981
Median Absolute Deviation (MAD)15.4
Skewness2.4648646
Sum11303.2
Variance1443.4297
MonotonicityNot monotonic
2023-12-12T12:20:33.910583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.4 3
 
2.9%
104.6 3
 
2.9%
101.2 2
 
1.9%
66.7 2
 
1.9%
104.4 2
 
1.9%
118.0 2
 
1.9%
125.3 2
 
1.9%
88.1 2
 
1.9%
97.9 1
 
1.0%
305.0 1
 
1.0%
Other values (83) 83
80.6%
ValueCountFrequency (%)
33.9 1
1.0%
50.0 1
1.0%
52.7 1
1.0%
58.8 1
1.0%
60.9 1
1.0%
63.5 1
1.0%
64.5 1
1.0%
66.7 2
1.9%
71.1 1
1.0%
71.5 1
1.0%
ValueCountFrequency (%)
305.0 1
1.0%
284.3 1
1.0%
207.7 1
1.0%
202.7 1
1.0%
189.4 1
1.0%
152.7 1
1.0%
148.7 1
1.0%
148.0 1
1.0%
142.5 1
1.0%
136.3 1
1.0%

생산(2020-04)
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.735922
Minimum39.2
Maximum252.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:34.088670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.2
5-th percentile54.82
Q179.35
median94.2
Q3114.8
95-th percentile147.79
Maximum252.2
Range213
Interquartile range (IQR)35.45

Descriptive statistics

Standard deviation33.386204
Coefficient of variation (CV)0.33813634
Kurtosis5.3801063
Mean98.735922
Median Absolute Deviation (MAD)19.1
Skewness1.6435988
Sum10169.8
Variance1114.6386
MonotonicityNot monotonic
2023-12-12T12:20:34.295078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.0 3
 
2.9%
93.9 3
 
2.9%
72.5 2
 
1.9%
96.6 2
 
1.9%
61.6 2
 
1.9%
129.8 2
 
1.9%
74.8 2
 
1.9%
88.5 1
 
1.0%
104.7 1
 
1.0%
99.8 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
39.2 1
1.0%
42.5 1
1.0%
48.8 1
1.0%
50.0 1
1.0%
51.9 1
1.0%
54.8 1
1.0%
55.0 1
1.0%
58.5 1
1.0%
61.6 2
1.9%
62.7 1
1.0%
ValueCountFrequency (%)
252.2 1
1.0%
229.0 1
1.0%
174.0 1
1.0%
173.7 1
1.0%
163.8 1
1.0%
147.9 1
1.0%
146.8 1
1.0%
142.1 1
1.0%
134.9 1
1.0%
131.1 1
1.0%

생산(2020-05)
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.974757
Minimum30.9
Maximum273.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:34.494703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.9
5-th percentile47.68
Q171.2
median84.3
Q3106.7
95-th percentile133.48
Maximum273.4
Range242.5
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation33.17707
Coefficient of variation (CV)0.36873753
Kurtosis8.9874774
Mean89.974757
Median Absolute Deviation (MAD)18.7
Skewness2.1273953
Sum9267.4
Variance1100.718
MonotonicityNot monotonic
2023-12-12T12:20:34.726823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.4 3
 
2.9%
106.7 2
 
1.9%
93.2 2
 
1.9%
115.2 2
 
1.9%
110.7 2
 
1.9%
115.0 2
 
1.9%
77.5 2
 
1.9%
84.6 1
 
1.0%
85.5 1
 
1.0%
91.6 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
30.9 1
1.0%
37.8 1
1.0%
43.3 1
1.0%
44.3 1
1.0%
45.0 1
1.0%
47.4 1
1.0%
50.2 1
1.0%
50.7 1
1.0%
56.5 1
1.0%
57.4 1
1.0%
ValueCountFrequency (%)
273.4 1
1.0%
183.7 1
1.0%
178.4 1
1.0%
177.9 1
1.0%
145.8 1
1.0%
133.5 1
1.0%
133.3 1
1.0%
127.2 1
1.0%
126.3 1
1.0%
117.5 1
1.0%

생산(2020-06)
Real number (ℝ)

Distinct97
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.654369
Minimum35.6
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:35.311877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.6
5-th percentile53.83
Q176.35
median92.1
Q3114.4
95-th percentile161.52
Maximum303
Range267.4
Interquartile range (IQR)38.05

Descriptive statistics

Standard deviation40.809206
Coefficient of variation (CV)0.41365838
Kurtosis10.034638
Mean98.654369
Median Absolute Deviation (MAD)20.2
Skewness2.5067211
Sum10161.4
Variance1665.3913
MonotonicityNot monotonic
2023-12-12T12:20:35.538777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.7 3
 
2.9%
61.3 2
 
1.9%
79.3 2
 
1.9%
112.3 2
 
1.9%
117.2 2
 
1.9%
97.6 1
 
1.0%
102.7 1
 
1.0%
108.3 1
 
1.0%
92.3 1
 
1.0%
117.0 1
 
1.0%
Other values (87) 87
84.5%
ValueCountFrequency (%)
35.6 1
1.0%
37.2 1
1.0%
43.9 1
1.0%
47.1 1
1.0%
51.3 1
1.0%
53.5 1
1.0%
56.8 1
1.0%
59.2 1
1.0%
59.9 1
1.0%
61.3 2
1.9%
ValueCountFrequency (%)
303.0 1
1.0%
293.5 1
1.0%
199.3 1
1.0%
191.2 1
1.0%
164.4 1
1.0%
162.4 1
1.0%
153.6 1
1.0%
145.4 1
1.0%
135.7 1
1.0%
135.2 1
1.0%

생산(2020-07)
Real number (ℝ)

Distinct93
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.31553
Minimum32.5
Maximum329.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:35.745061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.5
5-th percentile53.82
Q178.5
median93.9
Q3114.7
95-th percentile159.01
Maximum329.8
Range297.3
Interquartile range (IQR)36.2

Descriptive statistics

Standard deviation41.449804
Coefficient of variation (CV)0.41319427
Kurtosis12.822508
Mean100.31553
Median Absolute Deviation (MAD)17.7
Skewness2.8536643
Sum10332.5
Variance1718.0862
MonotonicityNot monotonic
2023-12-12T12:20:35.925428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.5 3
 
2.9%
119.3 2
 
1.9%
143.8 2
 
1.9%
119.2 2
 
1.9%
87.3 2
 
1.9%
77.9 2
 
1.9%
114.7 2
 
1.9%
132.8 2
 
1.9%
117.7 2
 
1.9%
91.9 1
 
1.0%
Other values (83) 83
80.6%
ValueCountFrequency (%)
32.5 1
1.0%
38.8 1
1.0%
43.5 1
1.0%
48.9 1
1.0%
50.6 1
1.0%
53.8 1
1.0%
54.0 1
1.0%
58.4 1
1.0%
59.2 1
1.0%
61.7 1
1.0%
ValueCountFrequency (%)
329.8 1
1.0%
294.9 1
1.0%
199.5 1
1.0%
190.9 1
1.0%
174.7 1
1.0%
160.7 1
1.0%
143.8 2
1.9%
132.8 2
1.9%
129.6 1
1.0%
127.4 1
1.0%

생산(2020-08)
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.51165
Minimum26.9
Maximum369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:36.132170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.9
5-th percentile50.08
Q169.8
median84.9
Q3104.7
95-th percentile133.21
Maximum369
Range342.1
Interquartile range (IQR)34.9

Descriptive statistics

Standard deviation45.3016
Coefficient of variation (CV)0.49503642
Kurtosis19.061385
Mean91.51165
Median Absolute Deviation (MAD)16
Skewness3.7290795
Sum9425.7
Variance2052.235
MonotonicityNot monotonic
2023-12-12T12:20:36.412225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.5 4
 
3.9%
92.5 2
 
1.9%
95.1 2
 
1.9%
98.5 2
 
1.9%
53.5 2
 
1.9%
84.9 2
 
1.9%
106.7 1
 
1.0%
369.0 1
 
1.0%
107.6 1
 
1.0%
88.4 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
26.9 1
1.0%
38.5 1
1.0%
42.9 1
1.0%
43.2 1
1.0%
47.3 1
1.0%
49.8 1
1.0%
52.6 1
1.0%
53.0 1
1.0%
53.3 1
1.0%
53.5 2
1.9%
ValueCountFrequency (%)
369.0 1
1.0%
319.0 1
1.0%
202.1 1
1.0%
198.1 1
1.0%
141.6 1
1.0%
133.4 1
1.0%
131.5 1
1.0%
129.7 1
1.0%
127.4 1
1.0%
123.8 1
1.0%

생산(2020-09)
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.85825
Minimum33.7
Maximum346.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:36.643707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.7
5-th percentile58.02
Q181.55
median98.9
Q3114.7
95-th percentile151.69
Maximum346.8
Range313.1
Interquartile range (IQR)33.15

Descriptive statistics

Standard deviation43.840326
Coefficient of variation (CV)0.41809133
Kurtosis15.639612
Mean104.85825
Median Absolute Deviation (MAD)17.3
Skewness3.2980529
Sum10800.4
Variance1921.9742
MonotonicityNot monotonic
2023-12-12T12:20:36.869897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.5 3
 
2.9%
97.2 2
 
1.9%
129.1 2
 
1.9%
91.4 2
 
1.9%
78.1 2
 
1.9%
131.8 2
 
1.9%
110.6 2
 
1.9%
114.5 1
 
1.0%
98.7 1
 
1.0%
335.8 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
33.7 1
1.0%
48.1 1
1.0%
51.5 1
1.0%
53.8 1
1.0%
57.0 1
1.0%
57.7 1
1.0%
60.9 1
1.0%
64.6 1
1.0%
64.7 1
1.0%
65.3 1
1.0%
ValueCountFrequency (%)
346.8 1
1.0%
335.8 1
1.0%
213.9 1
1.0%
211.0 1
1.0%
164.3 1
1.0%
151.8 1
1.0%
150.7 1
1.0%
138.4 1
1.0%
136.5 1
1.0%
131.8 2
1.9%

생산(2020-10)
Real number (ℝ)

Distinct96
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.51068
Minimum34.3
Maximum350.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:37.066355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.3
5-th percentile58.68
Q183.45
median96.6
Q3113.85
95-th percentile139.35
Maximum350.8
Range316.5
Interquartile range (IQR)30.4

Descriptive statistics

Standard deviation38.080825
Coefficient of variation (CV)0.37887342
Kurtosis18.551021
Mean100.51068
Median Absolute Deviation (MAD)14.7
Skewness3.2716067
Sum10352.6
Variance1450.1492
MonotonicityNot monotonic
2023-12-12T12:20:37.270472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.2 3
 
2.9%
90.9 2
 
1.9%
99.3 2
 
1.9%
102.8 2
 
1.9%
97.6 2
 
1.9%
102.3 2
 
1.9%
87.8 1
 
1.0%
350.8 1
 
1.0%
200.9 1
 
1.0%
213.5 1
 
1.0%
Other values (86) 86
83.5%
ValueCountFrequency (%)
34.3 1
1.0%
41.5 1
1.0%
46.8 1
1.0%
52.1 1
1.0%
52.4 1
1.0%
58.5 1
1.0%
60.3 1
1.0%
63.2 1
1.0%
63.4 1
1.0%
63.7 1
1.0%
ValueCountFrequency (%)
350.8 1
1.0%
213.5 1
1.0%
200.9 1
1.0%
200.6 1
1.0%
150.0 1
1.0%
139.6 1
1.0%
137.1 1
1.0%
134.5 1
1.0%
130.5 1
1.0%
125.6 1
1.0%

생산(2020-11)
Real number (ℝ)

Distinct96
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.72816
Minimum26.9
Maximum369.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:37.460891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.9
5-th percentile62.66
Q184.35
median101.8
Q3113.85
95-th percentile146.95
Maximum369.6
Range342.7
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation45.567701
Coefficient of variation (CV)0.43098928
Kurtosis19.559437
Mean105.72816
Median Absolute Deviation (MAD)13.2
Skewness3.7671403
Sum10890
Variance2076.4154
MonotonicityNot monotonic
2023-12-12T12:20:37.656241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.3 4
 
3.9%
112.3 2
 
1.9%
110.8 2
 
1.9%
108.6 2
 
1.9%
88.7 2
 
1.9%
118.4 1
 
1.0%
106.2 1
 
1.0%
369.6 1
 
1.0%
205.6 1
 
1.0%
360.5 1
 
1.0%
Other values (86) 86
83.5%
ValueCountFrequency (%)
26.9 1
1.0%
47.9 1
1.0%
53.7 1
1.0%
57.0 1
1.0%
59.6 1
1.0%
62.5 1
1.0%
64.1 1
1.0%
64.3 1
1.0%
65.5 1
1.0%
66.6 1
1.0%
ValueCountFrequency (%)
369.6 1
1.0%
360.5 1
1.0%
208.6 1
1.0%
205.6 1
1.0%
164.1 1
1.0%
147.0 1
1.0%
146.5 1
1.0%
144.0 1
1.0%
138.4 1
1.0%
137.4 1
1.0%

생산(2020-12)
Real number (ℝ)

Distinct97
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.06214
Minimum26.2
Maximum422.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T12:20:37.885074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.2
5-th percentile58.69
Q189.1
median103.9
Q3126.5
95-th percentile160.2
Maximum422.3
Range396.1
Interquartile range (IQR)37.4

Descriptive statistics

Standard deviation51.35916
Coefficient of variation (CV)0.45425606
Kurtosis16.552555
Mean113.06214
Median Absolute Deviation (MAD)20.2
Skewness3.2906005
Sum11645.4
Variance2637.7634
MonotonicityNot monotonic
2023-12-12T12:20:38.107092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.7 3
 
2.9%
124.1 2
 
1.9%
64.4 2
 
1.9%
154.6 2
 
1.9%
160.2 2
 
1.9%
112.3 1
 
1.0%
356.0 1
 
1.0%
120.7 1
 
1.0%
110.1 1
 
1.0%
84.9 1
 
1.0%
Other values (87) 87
84.5%
ValueCountFrequency (%)
26.2 1
1.0%
50.0 1
1.0%
52.0 1
1.0%
55.6 1
1.0%
57.8 1
1.0%
58.5 1
1.0%
60.4 1
1.0%
61.0 1
1.0%
64.4 2
1.9%
67.3 1
1.0%
ValueCountFrequency (%)
422.3 1
1.0%
356.0 1
1.0%
225.4 1
1.0%
221.9 1
1.0%
162.0 1
1.0%
160.2 2
1.9%
159.9 1
1.0%
154.9 1
1.0%
154.6 2
1.9%
153.9 1
1.0%

생산(2020-01)_전년동월대비증가율
Real number (ℝ)

Distinct91
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.9533981
Minimum-71.2
Maximum94.6
Zeros0
Zeros (%)0.0%
Negative80
Negative (%)77.7%
Memory size1.0 KiB
2023-12-12T12:20:38.332472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-71.2
5-th percentile-20.09
Q1-13.4
median-8.7
Q3-1.95
95-th percentile11.48
Maximum94.6
Range165.8
Interquartile range (IQR)11.45

Descriptive statistics

Standard deviation15.371452
Coefficient of variation (CV)-2.2106388
Kurtosis20.688713
Mean-6.9533981
Median Absolute Deviation (MAD)6.2
Skewness2.3519874
Sum-716.2
Variance236.28153
MonotonicityNot monotonic
2023-12-12T12:20:38.559335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 3
 
2.9%
-15.8 3
 
2.9%
-7.0 2
 
1.9%
-16.3 2
 
1.9%
-10.4 2
 
1.9%
-8.0 2
 
1.9%
-11.2 2
 
1.9%
0.6 2
 
1.9%
-2.9 2
 
1.9%
-13.0 2
 
1.9%
Other values (81) 81
78.6%
ValueCountFrequency (%)
-71.2 1
1.0%
-29.4 1
1.0%
-29.2 1
1.0%
-23.0 1
1.0%
-21.1 1
1.0%
-20.1 1
1.0%
-20.0 1
1.0%
-19.3 1
1.0%
-19.1 1
1.0%
-18.8 1
1.0%
ValueCountFrequency (%)
94.6 1
1.0%
29.7 1
1.0%
22.1 1
1.0%
15.7 1
1.0%
15.1 1
1.0%
11.7 1
1.0%
9.5 1
1.0%
8.8 1
1.0%
5.9 1
1.0%
5.7 1
1.0%

생산(2020-02)_전년동월대비증가율
Real number (ℝ)

Distinct92
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.393204
Minimum-71.3
Maximum81.7
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)15.5%
Memory size1.0 KiB
2023-12-12T12:20:38.762950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-71.3
5-th percentile-7.38
Q14.65
median10.2
Q318.35
95-th percentile30.61
Maximum81.7
Range153
Interquartile range (IQR)13.7

Descriptive statistics

Standard deviation15.560907
Coefficient of variation (CV)1.4972194
Kurtosis10.417201
Mean10.393204
Median Absolute Deviation (MAD)7.1
Skewness-0.52293998
Sum1070.5
Variance242.14182
MonotonicityNot monotonic
2023-12-12T12:20:38.947162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.3 3
 
2.9%
1.5 2
 
1.9%
22.9 2
 
1.9%
7.4 2
 
1.9%
17.6 2
 
1.9%
11.0 2
 
1.9%
19.6 2
 
1.9%
12.5 2
 
1.9%
6.1 2
 
1.9%
6.0 2
 
1.9%
Other values (82) 82
79.6%
ValueCountFrequency (%)
-71.3 1
 
1.0%
-22.4 1
 
1.0%
-19.1 1
 
1.0%
-15.1 1
 
1.0%
-10.4 1
 
1.0%
-7.5 1
 
1.0%
-6.3 3
2.9%
-6.2 1
 
1.0%
-5.9 1
 
1.0%
-5.4 1
 
1.0%
ValueCountFrequency (%)
81.7 1
1.0%
41.6 1
1.0%
34.2 1
1.0%
33.2 1
1.0%
32.8 1
1.0%
30.7 1
1.0%
29.8 1
1.0%
26.5 1
1.0%
26.1 1
1.0%
25.4 1
1.0%

생산(2020-03)_전년동월대비증가율
Real number (ℝ)

Distinct86
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8951456
Minimum-66.9
Maximum76.8
Zeros0
Zeros (%)0.0%
Negative35
Negative (%)34.0%
Memory size1.0 KiB
2023-12-12T12:20:39.091930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-66.9
5-th percentile-15.81
Q1-1.65
median2.7
Q310.3
95-th percentile23.53
Maximum76.8
Range143.7
Interquartile range (IQR)11.95

Descriptive statistics

Standard deviation16.651905
Coefficient of variation (CV)4.2750405
Kurtosis8.3904134
Mean3.8951456
Median Absolute Deviation (MAD)6.2
Skewness0.68791496
Sum401.2
Variance277.28596
MonotonicityNot monotonic
2023-12-12T12:20:39.245511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.9 4
 
3.9%
3.0 3
 
2.9%
0.5 3
 
2.9%
-0.9 3
 
2.9%
0.9 3
 
2.9%
-4.0 2
 
1.9%
11.9 2
 
1.9%
8.6 2
 
1.9%
2.9 2
 
1.9%
1.5 2
 
1.9%
Other values (76) 77
74.8%
ValueCountFrequency (%)
-66.9 1
1.0%
-38.9 1
1.0%
-22.4 1
1.0%
-16.6 1
1.0%
-16.2 1
1.0%
-15.9 1
1.0%
-15.0 1
1.0%
-14.9 1
1.0%
-14.4 1
1.0%
-14.2 1
1.0%
ValueCountFrequency (%)
76.8 1
 
1.0%
73.3 1
 
1.0%
38.8 1
 
1.0%
34.7 1
 
1.0%
24.3 1
 
1.0%
23.7 1
 
1.0%
22.0 1
 
1.0%
18.2 1
 
1.0%
17.9 4
3.9%
17.7 1
 
1.0%

생산(2020-04)_전년동월대비증가율
Real number (ℝ)

Distinct88
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.4941748
Minimum-55.5
Maximum75.1
Zeros0
Zeros (%)0.0%
Negative72
Negative (%)69.9%
Memory size1.0 KiB
2023-12-12T12:20:39.416240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-55.5
5-th percentile-35.82
Q1-19.2
median-8
Q32.9
95-th percentile22.04
Maximum75.1
Range130.6
Interquartile range (IQR)22.1

Descriptive statistics

Standard deviation19.271145
Coefficient of variation (CV)-2.9674509
Kurtosis3.0108409
Mean-6.4941748
Median Absolute Deviation (MAD)11.1
Skewness0.84737659
Sum-668.9
Variance371.37702
MonotonicityNot monotonic
2023-12-12T12:20:39.574371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-21.5 4
 
3.9%
-4.8 3
 
2.9%
-23.0 2
 
1.9%
-5.0 2
 
1.9%
22.1 2
 
1.9%
-25.7 2
 
1.9%
-20.9 2
 
1.9%
-9.3 2
 
1.9%
-10.9 2
 
1.9%
-13.2 2
 
1.9%
Other values (78) 80
77.7%
ValueCountFrequency (%)
-55.5 1
1.0%
-48.5 1
1.0%
-39.6 1
1.0%
-37.6 1
1.0%
-37.5 1
1.0%
-35.9 1
1.0%
-35.1 1
1.0%
-32.5 1
1.0%
-29.7 1
1.0%
-26.5 1
1.0%
ValueCountFrequency (%)
75.1 1
1.0%
54.4 1
1.0%
26.3 1
1.0%
22.2 1
1.0%
22.1 2
1.9%
21.5 1
1.0%
21.1 1
1.0%
21.0 1
1.0%
20.6 1
1.0%
19.3 1
1.0%

생산(2020-05)_전년동월대비증가율
Real number (ℝ)

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.381553
Minimum-51.1
Maximum45.6
Zeros0
Zeros (%)0.0%
Negative85
Negative (%)82.5%
Memory size1.0 KiB
2023-12-12T12:20:39.748034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-51.1
5-th percentile-41.19
Q1-26.95
median-16.6
Q3-6.6
95-th percentile9.98
Maximum45.6
Range96.7
Interquartile range (IQR)20.35

Descriptive statistics

Standard deviation17.79682
Coefficient of variation (CV)-1.1570236
Kurtosis1.3265589
Mean-15.381553
Median Absolute Deviation (MAD)10.7
Skewness0.65399019
Sum-1584.3
Variance316.72681
MonotonicityNot monotonic
2023-12-12T12:20:39.904084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.4 5
 
4.9%
-37.8 3
 
2.9%
-9.1 2
 
1.9%
-28.5 2
 
1.9%
-10.9 2
 
1.9%
-21.3 2
 
1.9%
-38.0 2
 
1.9%
-2.6 2
 
1.9%
-8.6 2
 
1.9%
13.4 1
 
1.0%
Other values (80) 80
77.7%
ValueCountFrequency (%)
-51.1 1
 
1.0%
-51.0 1
 
1.0%
-48.4 1
 
1.0%
-43.0 1
 
1.0%
-42.0 1
 
1.0%
-41.3 1
 
1.0%
-40.2 1
 
1.0%
-38.8 1
 
1.0%
-38.0 2
1.9%
-37.8 3
2.9%
ValueCountFrequency (%)
45.6 1
 
1.0%
41.5 1
 
1.0%
32.1 1
 
1.0%
13.4 1
 
1.0%
11.3 1
 
1.0%
10.2 1
 
1.0%
8.0 1
 
1.0%
7.0 1
 
1.0%
6.4 5
4.9%
6.0 1
 
1.0%

생산(2020-06)_전년동월대비증가율
Real number (ℝ)

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.9708738
Minimum-65.3
Maximum57.7
Zeros0
Zeros (%)0.0%
Negative61
Negative (%)59.2%
Memory size1.0 KiB
2023-12-12T12:20:40.373613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-65.3
5-th percentile-31.08
Q1-16.05
median-5.1
Q37.9
95-th percentile23.77
Maximum57.7
Range123
Interquartile range (IQR)23.95

Descriptive statistics

Standard deviation18.000456
Coefficient of variation (CV)-4.533122
Kurtosis1.7335643
Mean-3.9708738
Median Absolute Deviation (MAD)11.5
Skewness0.1603562
Sum-409
Variance324.0164
MonotonicityNot monotonic
2023-12-12T12:20:40.504003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.0 4
 
3.9%
-18.6 3
 
2.9%
-3.8 2
 
1.9%
-11.9 2
 
1.9%
-8.0 2
 
1.9%
-8.3 2
 
1.9%
13.4 2
 
1.9%
-4.4 2
 
1.9%
10.9 2
 
1.9%
-19.5 2
 
1.9%
Other values (80) 80
77.7%
ValueCountFrequency (%)
-65.3 1
1.0%
-38.8 1
1.0%
-38.7 1
1.0%
-36.5 1
1.0%
-32.0 1
1.0%
-31.1 1
1.0%
-30.9 1
1.0%
-30.5 1
1.0%
-25.2 1
1.0%
-24.6 1
1.0%
ValueCountFrequency (%)
57.7 1
1.0%
45.4 1
1.0%
33.4 1
1.0%
27.2 1
1.0%
24.9 1
1.0%
23.8 1
1.0%
23.5 1
1.0%
22.0 1
1.0%
18.6 1
1.0%
15.5 1
1.0%

생산(2020-07)_전년동월대비증가율
Real number (ℝ)

Distinct85
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.461165
Minimum-54.7
Maximum125
Zeros0
Zeros (%)0.0%
Negative69
Negative (%)67.0%
Memory size1.0 KiB
2023-12-12T12:20:40.639039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-54.7
5-th percentile-25.68
Q1-11.85
median-7.9
Q35.25
95-th percentile19.28
Maximum125
Range179.7
Interquartile range (IQR)17.1

Descriptive statistics

Standard deviation19.935402
Coefficient of variation (CV)-5.7597374
Kurtosis16.237983
Mean-3.461165
Median Absolute Deviation (MAD)8.3
Skewness2.6705853
Sum-356.5
Variance397.42024
MonotonicityNot monotonic
2023-12-12T12:20:40.770737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-10.2 4
 
3.9%
17.7 4
 
3.9%
-6.6 3
 
2.9%
-10.0 3
 
2.9%
-8.8 2
 
1.9%
-4.9 2
 
1.9%
-4.6 2
 
1.9%
-16.4 2
 
1.9%
-9.0 2
 
1.9%
-9.5 2
 
1.9%
Other values (75) 77
74.8%
ValueCountFrequency (%)
-54.7 1
1.0%
-36.1 1
1.0%
-34.3 1
1.0%
-29.2 1
1.0%
-26.5 1
1.0%
-25.7 1
1.0%
-25.5 1
1.0%
-25.0 1
1.0%
-24.2 1
1.0%
-23.5 1
1.0%
ValueCountFrequency (%)
125.0 1
 
1.0%
38.3 1
 
1.0%
35.8 1
 
1.0%
32.2 1
 
1.0%
23.6 1
 
1.0%
19.4 1
 
1.0%
18.2 1
 
1.0%
17.8 1
 
1.0%
17.7 4
3.9%
17.3 1
 
1.0%

생산(2020-08)_전년동월대비증가율
Real number (ℝ)

Distinct89
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.1708738
Minimum-59.3
Maximum37.3
Zeros1
Zeros (%)1.0%
Negative68
Negative (%)66.0%
Memory size1.0 KiB
2023-12-12T12:20:40.927989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-59.3
5-th percentile-29.61
Q1-16.35
median-7.2
Q34.6
95-th percentile22.58
Maximum37.3
Range96.6
Interquartile range (IQR)20.95

Descriptive statistics

Standard deviation15.412655
Coefficient of variation (CV)-2.4976454
Kurtosis1.0197988
Mean-6.1708738
Median Absolute Deviation (MAD)10.5
Skewness0.082823504
Sum-635.6
Variance237.54993
MonotonicityNot monotonic
2023-12-12T12:20:41.067609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.2 3
 
2.9%
-4.2 3
 
2.9%
-11.7 3
 
2.9%
3.6 2
 
1.9%
-19.9 2
 
1.9%
-19.2 2
 
1.9%
-5.0 2
 
1.9%
-16.1 2
 
1.9%
-5.5 2
 
1.9%
6.4 2
 
1.9%
Other values (79) 80
77.7%
ValueCountFrequency (%)
-59.3 1
1.0%
-35.8 1
1.0%
-35.3 1
1.0%
-33.7 1
1.0%
-31.9 1
1.0%
-30.0 1
1.0%
-26.1 1
1.0%
-22.5 1
1.0%
-21.6 1
1.0%
-20.8 1
1.0%
ValueCountFrequency (%)
37.3 1
1.0%
29.1 1
1.0%
28.2 1
1.0%
24.3 1
1.0%
24.1 1
1.0%
23.3 1
1.0%
16.1 1
1.0%
15.3 1
1.0%
15.1 1
1.0%
14.1 1
1.0%

생산(2020-09)_전년동월대비증가율
Real number (ℝ)

Distinct85
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6194175
Minimum-54
Maximum95
Zeros1
Zeros (%)1.0%
Negative34
Negative (%)33.0%
Memory size1.0 KiB
2023-12-12T12:20:41.190649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-54
5-th percentile-13.73
Q1-2.1
median7.2
Q314.6
95-th percentile32.85
Maximum95
Range149
Interquartile range (IQR)16.7

Descriptive statistics

Standard deviation18.854911
Coefficient of variation (CV)2.4745869
Kurtosis7.6184495
Mean7.6194175
Median Absolute Deviation (MAD)8
Skewness1.6269223
Sum784.8
Variance355.50766
MonotonicityNot monotonic
2023-12-12T12:20:41.330531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.9 4
 
3.9%
12.5 2
 
1.9%
15.2 2
 
1.9%
4.1 2
 
1.9%
-0.3 2
 
1.9%
10.5 2
 
1.9%
-8.3 2
 
1.9%
-2.1 2
 
1.9%
9.9 2
 
1.9%
7.2 2
 
1.9%
Other values (75) 81
78.6%
ValueCountFrequency (%)
-54.0 1
1.0%
-19.0 1
1.0%
-17.1 1
1.0%
-15.8 1
1.0%
-14.8 1
1.0%
-13.8 1
1.0%
-13.1 1
1.0%
-13.0 1
1.0%
-12.9 1
1.0%
-12.5 1
1.0%
ValueCountFrequency (%)
95.0 1
1.0%
88.1 1
1.0%
61.0 1
1.0%
46.6 1
1.0%
33.8 1
1.0%
33.3 1
1.0%
28.8 1
1.0%
26.5 1
1.0%
26.3 1
1.0%
25.6 1
1.0%

생산(2020-10)_전년동월대비증가율
Real number (ℝ)

Distinct87
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.8786408
Minimum-60.7
Maximum28.5
Zeros1
Zeros (%)1.0%
Negative67
Negative (%)65.0%
Memory size1.0 KiB
2023-12-12T12:20:41.483011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-60.7
5-th percentile-23.88
Q1-12.3
median-4.5
Q32.65
95-th percentile14.42
Maximum28.5
Range89.2
Interquartile range (IQR)14.95

Descriptive statistics

Standard deviation13.572613
Coefficient of variation (CV)-2.782048
Kurtosis2.478751
Mean-4.8786408
Median Absolute Deviation (MAD)7.4
Skewness-0.64018386
Sum-502.5
Variance184.21581
MonotonicityNot monotonic
2023-12-12T12:20:41.608004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.7 3
 
2.9%
-1.3 3
 
2.9%
-4.6 2
 
1.9%
3.4 2
 
1.9%
-12.4 2
 
1.9%
-0.9 2
 
1.9%
-4.8 2
 
1.9%
-14.4 2
 
1.9%
-20.4 2
 
1.9%
-12.2 2
 
1.9%
Other values (77) 81
78.6%
ValueCountFrequency (%)
-60.7 1
1.0%
-43.3 1
1.0%
-33.2 1
1.0%
-28.0 1
1.0%
-27.4 1
1.0%
-24.0 1
1.0%
-22.8 1
1.0%
-22.6 1
1.0%
-22.1 1
1.0%
-20.5 1
1.0%
ValueCountFrequency (%)
28.5 1
1.0%
25.7 1
1.0%
23.7 1
1.0%
19.2 1
1.0%
17.6 1
1.0%
14.6 1
1.0%
12.8 2
1.9%
12.6 1
1.0%
10.8 1
1.0%
10.7 1
1.0%

생산(2020-11)_전년동월대비증가율
Real number (ℝ)

Distinct88
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5932039
Minimum-53.4
Maximum126.5
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)43.7%
Memory size1.0 KiB
2023-12-12T12:20:41.741605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53.4
5-th percentile-17.35
Q1-5.55
median1.7
Q37.05
95-th percentile19.23
Maximum126.5
Range179.9
Interquartile range (IQR)12.6

Descriptive statistics

Standard deviation19.83392
Coefficient of variation (CV)7.6484227
Kurtosis16.762462
Mean2.5932039
Median Absolute Deviation (MAD)6.7
Skewness2.9097192
Sum267.1
Variance393.38437
MonotonicityNot monotonic
2023-12-12T12:20:41.895470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.2 3
 
2.9%
1.7 3
 
2.9%
1.5 2
 
1.9%
4.3 2
 
1.9%
-3.7 2
 
1.9%
-4.3 2
 
1.9%
8.2 2
 
1.9%
-2.9 2
 
1.9%
15.5 2
 
1.9%
15.6 2
 
1.9%
Other values (78) 81
78.6%
ValueCountFrequency (%)
-53.4 1
1.0%
-32.5 1
1.0%
-26.2 1
1.0%
-24.2 1
1.0%
-20.2 1
1.0%
-17.4 1
1.0%
-16.9 1
1.0%
-15.5 1
1.0%
-14.9 1
1.0%
-14.6 1
1.0%
ValueCountFrequency (%)
126.5 1
1.0%
79.4 1
1.0%
55.6 1
1.0%
42.1 1
1.0%
26.5 1
1.0%
19.3 1
1.0%
18.6 1
1.0%
17.7 1
1.0%
15.9 2
1.9%
15.6 2
1.9%

생산(2020-12)_전년동월대비증가율
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5126214
Minimum-47.1
Maximum54.5
Zeros4
Zeros (%)3.9%
Negative41
Negative (%)39.8%
Memory size1.0 KiB
2023-12-12T12:20:42.064815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-47.1
5-th percentile-23.47
Q1-5.2
median1.3
Q310.5
95-th percentile26.28
Maximum54.5
Range101.6
Interquartile range (IQR)15.7

Descriptive statistics

Standard deviation15.146349
Coefficient of variation (CV)10.013312
Kurtosis1.8848737
Mean1.5126214
Median Absolute Deviation (MAD)9.1
Skewness0.12024268
Sum155.8
Variance229.4119
MonotonicityNot monotonic
2023-12-12T12:20:42.203318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
3.9%
4.1 2
 
1.9%
9.5 2
 
1.9%
10.4 2
 
1.9%
10.5 2
 
1.9%
1.3 2
 
1.9%
0.6 2
 
1.9%
-1.5 2
 
1.9%
3.3 1
 
1.0%
14.8 1
 
1.0%
Other values (83) 83
80.6%
ValueCountFrequency (%)
-47.1 1
1.0%
-31.8 1
1.0%
-31.7 1
1.0%
-25.5 1
1.0%
-24.8 1
1.0%
-23.5 1
1.0%
-23.2 1
1.0%
-20.8 1
1.0%
-19.5 1
1.0%
-16.6 1
1.0%
ValueCountFrequency (%)
54.5 1
1.0%
39.0 1
1.0%
35.7 1
1.0%
34.7 1
1.0%
30.1 1
1.0%
26.8 1
1.0%
21.6 1
1.0%
17.9 1
1.0%
17.8 1
1.0%
16.9 1
1.0%

Sample

11대코드코드명생산(2020-01)생산(2020-02)생산(2020-03)생산(2020-04)생산(2020-05)생산(2020-06)생산(2020-07)생산(2020-08)생산(2020-09)생산(2020-10)생산(2020-11)생산(2020-12)생산(2020-01)_전년동월대비증가율생산(2020-02)_전년동월대비증가율생산(2020-03)_전년동월대비증가율생산(2020-04)_전년동월대비증가율생산(2020-05)_전년동월대비증가율생산(2020-06)_전년동월대비증가율생산(2020-07)_전년동월대비증가율생산(2020-08)_전년동월대비증가율생산(2020-09)_전년동월대비증가율생산(2020-10)_전년동월대비증가율생산(2020-11)_전년동월대비증가율생산(2020-12)_전년동월대비증가율
00소재·부품107.5105.5122.7105.5103.0111.9113.8106.7120.1116.4118.4124.10.714.012.8-2.5-8.10.9-0.40.811.81.43.35.2
111000섬유제품68.871.978.261.656.561.365.560.468.468.468.869.0-15.47.4-4.0-25.7-31.0-20.2-17.6-17.0-1.9-13.8-8.1-6.6
211010제사 및 방적57.655.663.551.945.051.353.849.857.052.453.752.0-15.3-0.6-6.4-23.4-33.6-18.7-15.9-14.92.2-20.3-11.8-16.6
311020직물직조59.063.364.550.044.343.948.947.353.852.157.057.8-23.04.4-15.0-35.9-42.0-38.8-34.3-30.0-15.8-28.0-16.9-12.2
411030섬유염색 및 가공72.077.281.255.050.259.261.754.364.670.172.371.9-12.913.3-5.8-37.6-43.0-24.6-24.2-20.2-12.9-20.3-11.5-12.0
511090기타 섬유제품86.891.5104.486.984.192.296.287.596.7100.793.395.1-8.412.710.4-9.7-10.70.80.8-4.214.98.14.57.9
612000화학물질 및 화학제품107.8105.3118.0114.6109.8111.1116.7112.6118.9117.7110.8117.6-2.810.29.910.87.013.48.910.317.712.86.09.7
712010석유화학계 기초화학물질112.0108.5124.6146.8133.5126.3143.8141.6136.5121.890.5109.45.716.824.354.445.657.738.337.333.828.5-8.82.5
812020기타 기초유기화학물질112.7114.0134.9122.9133.3130.6132.8131.5128.3125.6108.6126.1-7.05.111.910.141.523.511.113.313.512.63.216.9
912030기타 기초무기화학물질93.590.091.081.274.674.988.894.293.793.081.097.51.68.90.9-6.0-11.1-13.6-5.83.611.610.61.83.9
11대코드코드명생산(2020-01)생산(2020-02)생산(2020-03)생산(2020-04)생산(2020-05)생산(2020-06)생산(2020-07)생산(2020-08)생산(2020-09)생산(2020-10)생산(2020-11)생산(2020-12)생산(2020-01)_전년동월대비증가율생산(2020-02)_전년동월대비증가율생산(2020-03)_전년동월대비증가율생산(2020-04)_전년동월대비증가율생산(2020-05)_전년동월대비증가율생산(2020-06)_전년동월대비증가율생산(2020-07)_전년동월대비증가율생산(2020-08)_전년동월대비증가율생산(2020-09)_전년동월대비증가율생산(2020-10)_전년동월대비증가율생산(2020-11)_전년동월대비증가율생산(2020-12)_전년동월대비증가율
9327020트레일러 부품73.969.487.370.875.284.190.865.591.679.064.158.5-12.20.8-2.8-29.7-21.8-5.10.4-14.725.6-3.8-26.2-31.8
9427030자동차 엔진용 부품85.076.3104.682.064.478.794.574.5102.5101.2104.398.7-15.8-6.33.0-21.5-37.8-18.6-10.2-11.714.9-1.36.20.0
9527040자동차 차체용 부품85.076.4104.682.064.478.794.574.5102.5101.2104.398.7-15.8-6.33.0-21.5-37.8-18.6-10.2-11.714.9-1.36.20.0
9627050자동차부품85.076.4104.682.064.478.794.574.5102.5101.2104.398.7-15.8-6.33.0-21.5-37.8-18.6-10.2-11.714.9-1.36.20.0
9727060선박 구성부분품57.860.360.958.560.363.666.652.664.763.265.561.0-8.034.27.3-5.0-0.86.36.81.213.01.84.2-9.6
9827070철도차량부품 및 관련장치47.660.858.874.269.466.277.455.872.965.6101.0126.9-29.2-10.4-16.6-8.0-8.6-16.1-10.3-31.97.5-10.342.112.7
9927080항공기용 엔진 및 부품91.791.391.272.557.435.650.642.951.546.847.955.6-9.8-1.5-14.9-32.5-48.4-65.3-54.7-59.3-54.0-60.7-53.4-47.1
10027090모터사이클63.466.466.762.762.462.867.853.565.963.466.664.4-9.525.21.8-11.0-10.9-8.3-6.5-13.8-1.0-11.7-5.1-14.7
10127100자전거 및 환자용 차량63.766.966.763.062.562.767.653.365.363.766.764.4-9.325.41.5-10.9-10.9-8.1-6.6-13.8-1.0-11.7-5.0-14.6
10227110운송장비용 의자91.0102.9105.293.793.298.689.588.0100.2102.5101.1115.3-2.924.19.24.0-2.39.7-4.9-4.216.00.0-2.95.8