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 재고
Author산업통상자원부
URLhttps://www.data.go.kr/data/15068964/fileData.do

Alerts

11대코드 has unique valuesUnique
코드명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:31:35.774928
Analysis finished2023-12-12 15:31:36.130750
Duration0.36 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
2023-12-13T00:31:36.218100image/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
2023-12-13T00:31:36.389676image/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
2023-12-13T00:31:36.640922image/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 (%)
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%
2023-12-13T00:31:37.413601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
16.2%
81
 
8.0%
48
 
4.7%
45
 
4.4%
31
 
3.1%
27
 
2.7%
21
 
2.1%
20
 
2.0%
18
 
1.8%
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 (%)
81
 
9.7%
48
 
5.8%
45
 
5.4%
31
 
3.7%
27
 
3.2%
21
 
2.5%
20
 
2.4%
18
 
2.2%
17
 
2.0%
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 (%)
81
 
9.7%
48
 
5.8%
45
 
5.4%
31
 
3.7%
27
 
3.2%
21
 
2.5%
20
 
2.4%
18
 
2.2%
17
 
2.0%
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 (%)
81
 
9.7%
48
 
5.8%
45
 
5.4%
31
 
3.7%
27
 
3.2%
21
 
2.5%
20
 
2.4%
18
 
2.2%
17
 
2.0%
16
 
1.9%
Other values (162) 510
61.2%
None
ValueCountFrequency (%)
· 1
100.0%

재고(2020-01)
Real number (ℝ)

Distinct93
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.23883
Minimum36.9
Maximum210.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:37.604732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.9
5-th percentile77.4
Q1100.6
median115.4
Q3135.3
95-th percentile180
Maximum210.6
Range173.7
Interquartile range (IQR)34.7

Descriptive statistics

Standard deviation32.054892
Coefficient of variation (CV)0.27341531
Kurtosis1.2414164
Mean117.23883
Median Absolute Deviation (MAD)17.3
Skewness0.57702014
Sum12075.6
Variance1027.5161
MonotonicityNot monotonic
2023-12-13T00:31:37.814707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.4 3
 
2.9%
139.2 3
 
2.9%
115.8 2
 
1.9%
100.8 2
 
1.9%
120.1 2
 
1.9%
104.2 2
 
1.9%
77.4 2
 
1.9%
116.4 2
 
1.9%
141.1 1
 
1.0%
107.5 1
 
1.0%
Other values (83) 83
80.6%
ValueCountFrequency (%)
36.9 1
1.0%
49.3 1
1.0%
51.6 1
1.0%
56.0 1
1.0%
69.0 1
1.0%
77.4 2
1.9%
78.7 1
1.0%
79.6 1
1.0%
79.7 1
1.0%
81.5 1
1.0%
ValueCountFrequency (%)
210.6 1
1.0%
206.9 1
1.0%
201.4 1
1.0%
198.2 1
1.0%
197.1 1
1.0%
181.0 1
1.0%
171.0 1
1.0%
163.0 1
1.0%
156.9 1
1.0%
154.7 1
1.0%

재고(2020-02)
Real number (ℝ)

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.90097
Minimum35.6
Maximum232.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:38.015351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.6
5-th percentile70.12
Q1102.95
median116.7
Q3140.35
95-th percentile182.86
Maximum232.7
Range197.1
Interquartile range (IQR)37.4

Descriptive statistics

Standard deviation34.284191
Coefficient of variation (CV)0.28593756
Kurtosis1.2373547
Mean119.90097
Median Absolute Deviation (MAD)18
Skewness0.52276005
Sum12349.8
Variance1175.4058
MonotonicityNot monotonic
2023-12-13T00:31:38.225258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.1 2
 
1.9%
108.1 2
 
1.9%
105.7 2
 
1.9%
146.9 2
 
1.9%
116.7 2
 
1.9%
84.4 1
 
1.0%
101.9 1
 
1.0%
103.2 1
 
1.0%
113.4 1
 
1.0%
141.1 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
35.6 1
1.0%
45.0 1
1.0%
54.7 1
1.0%
68.1 1
1.0%
69.3 1
1.0%
70.1 1
1.0%
70.3 1
1.0%
71.8 1
1.0%
72.2 1
1.0%
72.3 1
1.0%
ValueCountFrequency (%)
232.7 1
1.0%
216.4 1
1.0%
206.8 1
1.0%
195.8 1
1.0%
189.2 1
1.0%
183.4 1
1.0%
178.0 1
1.0%
171.7 1
1.0%
163.4 1
1.0%
153.9 1
1.0%

재고(2020-03)
Real number (ℝ)

Distinct96
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.65049
Minimum34.8
Maximum239.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:38.452327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.8
5-th percentile70.21
Q1103.45
median118.8
Q3139.2
95-th percentile173.8
Maximum239.3
Range204.5
Interquartile range (IQR)35.75

Descriptive statistics

Standard deviation32.815655
Coefficient of variation (CV)0.27426262
Kurtosis1.2836786
Mean119.65049
Median Absolute Deviation (MAD)16.4
Skewness0.33331226
Sum12324
Variance1076.8672
MonotonicityNot monotonic
2023-12-13T00:31:38.674042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.7 2
 
1.9%
131.8 2
 
1.9%
146.3 2
 
1.9%
112.1 2
 
1.9%
111.1 2
 
1.9%
72.3 2
 
1.9%
106.6 2
 
1.9%
118.8 1
 
1.0%
80.1 1
 
1.0%
85.5 1
 
1.0%
Other values (86) 86
83.5%
ValueCountFrequency (%)
34.8 1
1.0%
42.2 1
1.0%
58.8 1
1.0%
68.2 1
1.0%
69.4 1
1.0%
70.2 1
1.0%
70.3 1
1.0%
72.0 1
1.0%
72.3 2
1.9%
74.2 1
1.0%
ValueCountFrequency (%)
239.3 1
1.0%
198.2 1
1.0%
186.5 1
1.0%
179.7 1
1.0%
174.7 1
1.0%
174.4 1
1.0%
168.4 1
1.0%
165.7 1
1.0%
165.1 1
1.0%
164.3 1
1.0%

재고(2020-04)
Real number (ℝ)

Distinct97
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.4068
Minimum29.5
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:38.867975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.5
5-th percentile74.09
Q1105.4
median120.4
Q3143.45
95-th percentile174.99
Maximum220
Range190.5
Interquartile range (IQR)38.05

Descriptive statistics

Standard deviation32.60594
Coefficient of variation (CV)0.26856766
Kurtosis0.38919589
Mean121.4068
Median Absolute Deviation (MAD)19.1
Skewness0.10170503
Sum12504.9
Variance1063.1473
MonotonicityNot monotonic
2023-12-13T00:31:39.074006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.7 2
 
1.9%
105.4 2
 
1.9%
77.7 2
 
1.9%
154.3 2
 
1.9%
75.0 2
 
1.9%
147.0 2
 
1.9%
122.3 1
 
1.0%
187.7 1
 
1.0%
108.9 1
 
1.0%
92.3 1
 
1.0%
Other values (87) 87
84.5%
ValueCountFrequency (%)
29.5 1
1.0%
49.9 1
1.0%
64.1 1
1.0%
67.8 1
1.0%
72.7 1
1.0%
74.0 1
1.0%
74.9 1
1.0%
75.0 2
1.9%
77.7 2
1.9%
77.9 1
1.0%
ValueCountFrequency (%)
220.0 1
1.0%
198.8 1
1.0%
187.7 1
1.0%
178.2 1
1.0%
175.8 1
1.0%
175.1 1
1.0%
174.0 1
1.0%
166.8 1
1.0%
164.9 1
1.0%
159.3 1
1.0%

재고(2020-05)
Real number (ℝ)

Distinct97
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.17864
Minimum28.8
Maximum200.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:39.286112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.8
5-th percentile73.18
Q1104.5
median119.7
Q3141.1
95-th percentile175.14
Maximum200.8
Range172
Interquartile range (IQR)36.6

Descriptive statistics

Standard deviation31.554297
Coefficient of variation (CV)0.26256161
Kurtosis0.26496895
Mean120.17864
Median Absolute Deviation (MAD)18.2
Skewness-0.044705511
Sum12378.4
Variance995.67366
MonotonicityNot monotonic
2023-12-13T00:31:39.435235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150.9 3
 
2.9%
135.6 2
 
1.9%
107.2 2
 
1.9%
73.9 2
 
1.9%
108.4 2
 
1.9%
84.3 1
 
1.0%
113.0 1
 
1.0%
114.2 1
 
1.0%
143.5 1
 
1.0%
120.4 1
 
1.0%
Other values (87) 87
84.5%
ValueCountFrequency (%)
28.8 1
1.0%
52.3 1
1.0%
56.1 1
1.0%
62.8 1
1.0%
71.8 1
1.0%
73.1 1
1.0%
73.9 2
1.9%
75.9 1
1.0%
76.5 1
1.0%
76.6 1
1.0%
ValueCountFrequency (%)
200.8 1
1.0%
197.7 1
1.0%
179.9 1
1.0%
179.2 1
1.0%
176.6 1
1.0%
175.7 1
1.0%
170.1 1
1.0%
167.2 1
1.0%
162.9 1
1.0%
158.4 1
1.0%

재고(2020-06)
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.57573
Minimum32.1
Maximum197.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:39.595785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.1
5-th percentile74.73
Q1100.7
median117.9
Q3137.95
95-th percentile165.28
Maximum197.4
Range165.3
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation29.677239
Coefficient of variation (CV)0.25240957
Kurtosis0.43102699
Mean117.57573
Median Absolute Deviation (MAD)19.9
Skewness0.0034229417
Sum12110.3
Variance880.73852
MonotonicityNot monotonic
2023-12-13T00:31:39.759355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146.1 3
 
2.9%
79.7 2
 
1.9%
125.8 2
 
1.9%
104.6 2
 
1.9%
126.1 2
 
1.9%
104.7 2
 
1.9%
110.8 2
 
1.9%
76.9 1
 
1.0%
185.3 1
 
1.0%
97.1 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
32.1 1
1.0%
52.6 1
1.0%
54.2 1
1.0%
59.0 1
1.0%
72.2 1
1.0%
74.6 1
1.0%
75.9 1
1.0%
76.8 1
1.0%
76.9 1
1.0%
78.5 1
1.0%
ValueCountFrequency (%)
197.4 1
1.0%
186.1 1
1.0%
185.3 1
1.0%
181.2 1
1.0%
169.7 1
1.0%
165.9 1
1.0%
159.7 1
1.0%
159.2 1
1.0%
157.0 1
1.0%
151.3 1
1.0%

재고(2020-07)
Real number (ℝ)

Distinct93
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.95728
Minimum30
Maximum220.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:39.919433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile69.26
Q199.85
median118.6
Q3135.65
95-th percentile165.46
Maximum220.3
Range190.3
Interquartile range (IQR)35.8

Descriptive statistics

Standard deviation29.643303
Coefficient of variation (CV)0.25130541
Kurtosis1.1936333
Mean117.95728
Median Absolute Deviation (MAD)18.6
Skewness-0.067322208
Sum12149.6
Variance878.72541
MonotonicityNot monotonic
2023-12-13T00:31:40.086159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.7 2
 
1.9%
82.2 2
 
1.9%
98.7 2
 
1.9%
107.8 2
 
1.9%
129.8 2
 
1.9%
107.7 2
 
1.9%
128.3 2
 
1.9%
128.8 2
 
1.9%
115.1 2
 
1.9%
85.3 2
 
1.9%
Other values (83) 83
80.6%
ValueCountFrequency (%)
30.0 1
1.0%
52.3 1
1.0%
53.1 1
1.0%
54.1 1
1.0%
55.9 1
1.0%
68.8 1
1.0%
73.4 1
1.0%
78.9 1
1.0%
79.9 1
1.0%
81.3 1
1.0%
ValueCountFrequency (%)
220.3 1
1.0%
175.6 1
1.0%
171.2 1
1.0%
166.3 1
1.0%
165.9 1
1.0%
165.6 1
1.0%
164.2 1
1.0%
163.9 1
1.0%
154.6 1
1.0%
149.0 1
1.0%

재고(2020-08)
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.81068
Minimum30
Maximum259.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:40.230099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile76.71
Q1100.45
median120.3
Q3137.7
95-th percentile166.23
Maximum259.8
Range229.8
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation31.313553
Coefficient of variation (CV)0.2635584
Kurtosis3.378353
Mean118.81068
Median Absolute Deviation (MAD)18.5
Skewness0.50695217
Sum12237.5
Variance980.53861
MonotonicityNot monotonic
2023-12-13T00:31:40.349377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.6 3
 
2.9%
142.6 3
 
2.9%
82.0 3
 
2.9%
79.1 2
 
1.9%
109.7 2
 
1.9%
123.7 2
 
1.9%
81.8 1
 
1.0%
93.4 1
 
1.0%
148.9 1
 
1.0%
120.4 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
30.0 1
1.0%
48.4 1
1.0%
51.0 1
1.0%
68.4 1
1.0%
71.5 1
1.0%
76.7 1
1.0%
76.8 1
1.0%
78.2 1
1.0%
79.1 2
1.9%
80.7 1
1.0%
ValueCountFrequency (%)
259.8 1
1.0%
176.3 1
1.0%
170.6 1
1.0%
170.5 1
1.0%
168.3 1
1.0%
166.6 1
1.0%
162.9 1
1.0%
157.2 1
1.0%
154.5 1
1.0%
149.4 1
1.0%

재고(2020-09)
Real number (ℝ)

Distinct93
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.45146
Minimum26.7
Maximum258.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:40.470621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.7
5-th percentile69.04
Q197.7
median118.2
Q3133.05
95-th percentile160.88
Maximum258.3
Range231.6
Interquartile range (IQR)35.35

Descriptive statistics

Standard deviation30.976873
Coefficient of variation (CV)0.26600674
Kurtosis3.7874553
Mean116.45146
Median Absolute Deviation (MAD)16.9
Skewness0.6045241
Sum11994.5
Variance959.56664
MonotonicityNot monotonic
2023-12-13T00:31:40.591473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142.2 3
 
2.9%
128.1 2
 
1.9%
96.0 2
 
1.9%
103.8 2
 
1.9%
87.6 2
 
1.9%
118.2 2
 
1.9%
125.3 2
 
1.9%
130.2 2
 
1.9%
117.3 2
 
1.9%
123.1 1
 
1.0%
Other values (83) 83
80.6%
ValueCountFrequency (%)
26.7 1
1.0%
51.5 1
1.0%
56.2 1
1.0%
58.9 1
1.0%
64.3 1
1.0%
69.0 1
1.0%
69.4 1
1.0%
76.2 1
1.0%
76.8 1
1.0%
77.4 1
1.0%
ValueCountFrequency (%)
258.3 1
1.0%
187.7 1
1.0%
167.7 1
1.0%
163.4 1
1.0%
162.1 1
1.0%
160.9 1
1.0%
160.7 1
1.0%
155.4 1
1.0%
151.3 1
1.0%
149.2 1
1.0%

재고(2020-10)
Real number (ℝ)

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.04757
Minimum29.1
Maximum260.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:40.712157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.1
5-th percentile67.25
Q196.3
median115.6
Q3132.45
95-th percentile165.02
Maximum260.3
Range231.2
Interquartile range (IQR)36.15

Descriptive statistics

Standard deviation30.83996
Coefficient of variation (CV)0.26806267
Kurtosis4.3337434
Mean115.04757
Median Absolute Deviation (MAD)17.2
Skewness0.79953456
Sum11849.9
Variance951.10311
MonotonicityNot monotonic
2023-12-13T00:31:40.841889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136.0 3
 
2.9%
86.7 2
 
1.9%
117.7 2
 
1.9%
109.2 2
 
1.9%
104.0 2
 
1.9%
115.9 2
 
1.9%
111.7 2
 
1.9%
120.7 1
 
1.0%
161.6 1
 
1.0%
149.1 1
 
1.0%
Other values (85) 85
82.5%
ValueCountFrequency (%)
29.1 1
1.0%
46.7 1
1.0%
55.4 1
1.0%
56.3 1
1.0%
64.1 1
1.0%
66.5 1
1.0%
74.0 1
1.0%
76.9 1
1.0%
77.0 1
1.0%
79.1 1
1.0%
ValueCountFrequency (%)
260.3 1
1.0%
176.7 1
1.0%
175.9 1
1.0%
170.5 1
1.0%
167.0 1
1.0%
165.4 1
1.0%
161.6 1
1.0%
159.0 1
1.0%
157.9 1
1.0%
149.1 1
1.0%

재고(2020-11)
Real number (ℝ)

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.30291
Minimum25.7
Maximum248.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:40.958540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.7
5-th percentile70.08
Q1100.45
median114.5
Q3135.05
95-th percentile166.38
Maximum248.7
Range223
Interquartile range (IQR)34.6

Descriptive statistics

Standard deviation30.872583
Coefficient of variation (CV)0.26544978
Kurtosis3.0813706
Mean116.30291
Median Absolute Deviation (MAD)15.2
Skewness0.46769669
Sum11979.2
Variance953.11636
MonotonicityNot monotonic
2023-12-13T00:31:41.081711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.4 2
 
1.9%
103.4 2
 
1.9%
138.0 2
 
1.9%
104.1 2
 
1.9%
103.3 2
 
1.9%
146.8 1
 
1.0%
146.6 1
 
1.0%
170.8 1
 
1.0%
92.4 1
 
1.0%
141.8 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
25.7 1
1.0%
42.4 1
1.0%
49.2 1
1.0%
53.0 1
1.0%
69.6 1
1.0%
69.9 1
1.0%
71.7 1
1.0%
76.2 1
1.0%
77.4 1
1.0%
78.2 1
1.0%
ValueCountFrequency (%)
248.7 1
1.0%
178.3 1
1.0%
171.4 1
1.0%
171.2 1
1.0%
170.8 1
1.0%
166.4 1
1.0%
166.2 1
1.0%
162.8 1
1.0%
158.9 1
1.0%
150.7 1
1.0%

재고(2020-12)
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.92136
Minimum26.2
Maximum254.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:31:41.208636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.2
5-th percentile70.32
Q196.7
median112.1
Q3130.55
95-th percentile161.04
Maximum254.9
Range228.7
Interquartile range (IQR)33.85

Descriptive statistics

Standard deviation30.777263
Coefficient of variation (CV)0.27016236
Kurtosis4.1157006
Mean113.92136
Median Absolute Deviation (MAD)16.2
Skewness0.78579032
Sum11733.9
Variance947.23993
MonotonicityNot monotonic
2023-12-13T00:31:41.357075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.8 3
 
2.9%
140.8 3
 
2.9%
101.7 2
 
1.9%
99.0 2
 
1.9%
110.1 2
 
1.9%
116.1 2
 
1.9%
134.6 2
 
1.9%
81.3 1
 
1.0%
130.6 1
 
1.0%
100.9 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
26.2 1
1.0%
40.3 1
1.0%
52.1 1
1.0%
55.5 1
1.0%
69.4 1
1.0%
70.2 1
1.0%
71.4 1
1.0%
78.9 1
1.0%
79.6 1
1.0%
81.0 1
1.0%
ValueCountFrequency (%)
254.9 1
1.0%
187.0 1
1.0%
178.9 1
1.0%
172.6 1
1.0%
172.2 1
1.0%
161.3 1
1.0%
158.7 1
1.0%
151.2 1
1.0%
149.8 1
1.0%
147.8 1
1.0%
Distinct87
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3048544
Minimum-38
Maximum61.2
Zeros0
Zeros (%)0.0%
Negative37
Negative (%)35.9%
Memory size1.0 KiB
2023-12-13T00:31:41.517430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-38
5-th percentile-20.1
Q1-5.6
median3.6
Q311.65
95-th percentile32.29
Maximum61.2
Range99.2
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation17.009999
Coefficient of variation (CV)3.951353
Kurtosis2.0620655
Mean4.3048544
Median Absolute Deviation (MAD)8.7
Skewness0.82649211
Sum443.4
Variance289.34007
MonotonicityNot monotonic
2023-12-13T00:31:42.041303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-20.1 6
 
5.8%
0.3 3
 
2.9%
10.8 3
 
2.9%
15.6 2
 
1.9%
-0.6 2
 
1.9%
1.5 2
 
1.9%
0.7 2
 
1.9%
3.6 2
 
1.9%
7.4 2
 
1.9%
0.5 2
 
1.9%
Other values (77) 77
74.8%
ValueCountFrequency (%)
-38.0 1
 
1.0%
-25.4 1
 
1.0%
-21.6 1
 
1.0%
-20.4 1
 
1.0%
-20.2 1
 
1.0%
-20.1 6
5.8%
-17.5 1
 
1.0%
-15.0 1
 
1.0%
-13.2 1
 
1.0%
-12.4 1
 
1.0%
ValueCountFrequency (%)
61.2 1
1.0%
59.5 1
1.0%
56.0 1
1.0%
45.9 1
1.0%
39.4 1
1.0%
32.8 1
1.0%
27.7 1
1.0%
24.3 1
1.0%
23.8 1
1.0%
22.9 1
1.0%
Distinct89
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8495146
Minimum-20.5
Maximum82.9
Zeros0
Zeros (%)0.0%
Negative28
Negative (%)27.2%
Memory size1.0 KiB
2023-12-13T00:31:42.201341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-20.5
5-th percentile-19.19
Q1-0.25
median6.5
Q316.1
95-th percentile40.28
Maximum82.9
Range103.4
Interquartile range (IQR)16.35

Descriptive statistics

Standard deviation17.6098
Coefficient of variation (CV)2.2434254
Kurtosis2.5659435
Mean7.8495146
Median Absolute Deviation (MAD)8.6
Skewness0.9930558
Sum808.5
Variance310.10507
MonotonicityNot monotonic
2023-12-13T00:31:42.418612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6 5
 
4.9%
15.1 4
 
3.9%
-19.3 2
 
1.9%
-19.2 2
 
1.9%
5.2 2
 
1.9%
-19.1 2
 
1.9%
19.3 2
 
1.9%
7.9 2
 
1.9%
16.6 2
 
1.9%
-20.5 1
 
1.0%
Other values (79) 79
76.7%
ValueCountFrequency (%)
-20.5 1
1.0%
-19.7 1
1.0%
-19.3 2
1.9%
-19.2 2
1.9%
-19.1 2
1.9%
-16.5 1
1.0%
-16.3 1
1.0%
-16.0 1
1.0%
-15.1 1
1.0%
-14.6 1
1.0%
ValueCountFrequency (%)
82.9 1
1.0%
50.4 1
1.0%
47.0 1
1.0%
43.8 1
1.0%
43.1 1
1.0%
40.3 1
1.0%
40.1 1
1.0%
36.6 1
1.0%
36.5 1
1.0%
35.5 1
1.0%
Distinct92
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9864078
Minimum-22.6
Maximum51
Zeros0
Zeros (%)0.0%
Negative29
Negative (%)28.2%
Memory size1.0 KiB
2023-12-13T00:31:42.594304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-22.6
5-th percentile-9.6
Q1-0.7
median5.9
Q315.5
95-th percentile36.23
Maximum51
Range73.6
Interquartile range (IQR)16.2

Descriptive statistics

Standard deviation14.146475
Coefficient of variation (CV)1.7713189
Kurtosis0.57398278
Mean7.9864078
Median Absolute Deviation (MAD)8.6
Skewness0.67022769
Sum822.6
Variance200.12275
MonotonicityNot monotonic
2023-12-13T00:31:42.783204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8 4
 
3.9%
15.6 3
 
2.9%
-8.1 3
 
2.9%
10.0 2
 
1.9%
2.5 2
 
1.9%
-7.7 2
 
1.9%
-9.6 2
 
1.9%
7.8 1
 
1.0%
26.2 1
 
1.0%
3.5 1
 
1.0%
Other values (82) 82
79.6%
ValueCountFrequency (%)
-22.6 1
 
1.0%
-17.6 1
 
1.0%
-16.7 1
 
1.0%
-13.1 1
 
1.0%
-11.4 1
 
1.0%
-9.6 2
1.9%
-9.5 1
 
1.0%
-8.6 1
 
1.0%
-8.2 1
 
1.0%
-8.1 3
2.9%
ValueCountFrequency (%)
51.0 1
1.0%
48.3 1
1.0%
41.1 1
1.0%
37.9 1
1.0%
36.6 1
1.0%
36.5 1
1.0%
33.8 1
1.0%
30.0 1
1.0%
28.3 1
1.0%
27.1 1
1.0%
Distinct89
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1203883
Minimum-31.1
Maximum61.6
Zeros1
Zeros (%)1.0%
Negative32
Negative (%)31.1%
Memory size1.0 KiB
2023-12-13T00:31:42.948047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-31.1
5-th percentile-14.73
Q1-1.3
median6.7
Q316.7
95-th percentile34.33
Maximum61.6
Range92.7
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.454455
Coefficient of variation (CV)2.3108929
Kurtosis0.84670042
Mean7.1203883
Median Absolute Deviation (MAD)9.2
Skewness0.44950323
Sum733.4
Variance270.74909
MonotonicityNot monotonic
2023-12-13T00:31:43.115771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.0 3
 
2.9%
-0.5 3
 
2.9%
9.1 2
 
1.9%
6.7 2
 
1.9%
0.1 2
 
1.9%
1.4 2
 
1.9%
12.4 2
 
1.9%
-7.0 2
 
1.9%
3.6 2
 
1.9%
8.1 2
 
1.9%
Other values (79) 81
78.6%
ValueCountFrequency (%)
-31.1 1
1.0%
-29.8 1
1.0%
-27.0 1
1.0%
-18.1 1
1.0%
-17.2 1
1.0%
-14.8 1
1.0%
-14.1 1
1.0%
-13.4 1
1.0%
-13.2 1
1.0%
-12.8 1
1.0%
ValueCountFrequency (%)
61.6 1
1.0%
52.7 1
1.0%
43.3 1
1.0%
38.3 1
1.0%
34.6 1
1.0%
34.4 1
1.0%
33.7 1
1.0%
33.5 1
1.0%
31.0 1
1.0%
28.7 1
1.0%
Distinct88
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.684466
Minimum-32.2
Maximum80.8
Zeros0
Zeros (%)0.0%
Negative38
Negative (%)36.9%
Memory size1.0 KiB
2023-12-13T00:31:43.290776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-32.2
5-th percentile-17.78
Q1-2.5
median5.7
Q316.6
95-th percentile38.31
Maximum80.8
Range113
Interquartile range (IQR)19.1

Descriptive statistics

Standard deviation18.781205
Coefficient of variation (CV)2.8096792
Kurtosis2.9356863
Mean6.684466
Median Absolute Deviation (MAD)8.9
Skewness1.0606075
Sum688.5
Variance352.73368
MonotonicityNot monotonic
2023-12-13T00:31:43.459316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8 5
 
4.9%
-16.4 4
 
3.9%
18.9 3
 
2.9%
-16.5 2
 
1.9%
5.7 2
 
1.9%
8.5 2
 
1.9%
6.0 2
 
1.9%
8.9 2
 
1.9%
5.5 2
 
1.9%
22.1 1
 
1.0%
Other values (78) 78
75.7%
ValueCountFrequency (%)
-32.2 1
 
1.0%
-27.5 1
 
1.0%
-23.8 1
 
1.0%
-23.6 1
 
1.0%
-22.0 1
 
1.0%
-17.9 1
 
1.0%
-16.7 1
 
1.0%
-16.6 1
 
1.0%
-16.5 2
1.9%
-16.4 4
3.9%
ValueCountFrequency (%)
80.8 1
1.0%
74.8 1
1.0%
49.5 1
1.0%
46.6 1
1.0%
39.9 1
1.0%
38.4 1
1.0%
37.5 1
1.0%
32.0 1
1.0%
29.9 1
1.0%
29.6 1
1.0%
Distinct87
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6446602
Minimum-34.7
Maximum61.2
Zeros0
Zeros (%)0.0%
Negative36
Negative (%)35.0%
Memory size1.0 KiB
2023-12-13T00:31:43.613045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-34.7
5-th percentile-16.15
Q1-2.4
median6.4
Q314.55
95-th percentile30.29
Maximum61.2
Range95.9
Interquartile range (IQR)16.95

Descriptive statistics

Standard deviation15.546822
Coefficient of variation (CV)2.3397467
Kurtosis1.2511088
Mean6.6446602
Median Absolute Deviation (MAD)8.6
Skewness0.3862078
Sum684.4
Variance241.70367
MonotonicityNot monotonic
2023-12-13T00:31:43.776080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8.8 6
 
5.8%
-0.8 3
 
2.9%
13.8 3
 
2.9%
-4.0 3
 
2.9%
6.6 2
 
1.9%
11.4 2
 
1.9%
11.5 2
 
1.9%
3.3 2
 
1.9%
6.1 2
 
1.9%
-10.5 1
 
1.0%
Other values (77) 77
74.8%
ValueCountFrequency (%)
-34.7 1
1.0%
-29.1 1
1.0%
-27.8 1
1.0%
-19.5 1
1.0%
-19.2 1
1.0%
-16.3 1
1.0%
-14.8 1
1.0%
-10.7 1
1.0%
-10.5 1
1.0%
-10.1 1
1.0%
ValueCountFrequency (%)
61.2 1
1.0%
46.4 1
1.0%
38.6 1
1.0%
38.5 1
1.0%
32.8 1
1.0%
30.3 1
1.0%
30.2 1
1.0%
28.8 1
1.0%
28.6 1
1.0%
27.9 1
1.0%
Distinct84
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1990291
Minimum-47.7
Maximum58.3
Zeros0
Zeros (%)0.0%
Negative38
Negative (%)36.9%
Memory size1.0 KiB
2023-12-13T00:31:43.924388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-47.7
5-th percentile-22
Q1-4.15
median4
Q311.3
95-th percentile27.73
Maximum58.3
Range106
Interquartile range (IQR)15.45

Descriptive statistics

Standard deviation15.573321
Coefficient of variation (CV)4.8681399
Kurtosis1.9179541
Mean3.1990291
Median Absolute Deviation (MAD)7.5
Skewness-0.024091476
Sum329.5
Variance242.52833
MonotonicityNot monotonic
2023-12-13T00:31:44.088701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.9 5
 
4.9%
-3.0 4
 
3.9%
11.3 4
 
3.9%
8.3 3
 
2.9%
11.1 2
 
1.9%
2.8 2
 
1.9%
1.3 2
 
1.9%
-3.8 2
 
1.9%
11.7 2
 
1.9%
5.2 2
 
1.9%
Other values (74) 75
72.8%
ValueCountFrequency (%)
-47.7 1
1.0%
-36.4 1
1.0%
-34.7 1
1.0%
-23.9 1
1.0%
-23.1 1
1.0%
-22.4 1
1.0%
-18.4 1
1.0%
-17.7 1
1.0%
-17.3 1
1.0%
-16.4 1
1.0%
ValueCountFrequency (%)
58.3 1
1.0%
35.9 1
1.0%
34.4 1
1.0%
30.6 1
1.0%
29.1 1
1.0%
27.8 1
1.0%
27.1 1
1.0%
26.8 1
1.0%
26.3 1
1.0%
25.2 1
1.0%
Distinct87
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4592233
Minimum-46
Maximum49.7
Zeros0
Zeros (%)0.0%
Negative35
Negative (%)34.0%
Memory size1.0 KiB
2023-12-13T00:31:44.252681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-46
5-th percentile-15.82
Q1-4.5
median4.9
Q312.85
95-th percentile38.82
Maximum49.7
Range95.7
Interquartile range (IQR)17.35

Descriptive statistics

Standard deviation17.538761
Coefficient of variation (CV)3.2126842
Kurtosis1.3514013
Mean5.4592233
Median Absolute Deviation (MAD)8.7
Skewness0.10067821
Sum562.3
Variance307.60812
MonotonicityNot monotonic
2023-12-13T00:31:44.455130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2 4
 
3.9%
-13.4 3
 
2.9%
-13.6 3
 
2.9%
9.1 3
 
2.9%
9.0 2
 
1.9%
-8.0 2
 
1.9%
3.6 2
 
1.9%
-4.9 2
 
1.9%
5.3 2
 
1.9%
-0.3 2
 
1.9%
Other values (77) 78
75.7%
ValueCountFrequency (%)
-46.0 1
 
1.0%
-43.5 1
 
1.0%
-41.1 1
 
1.0%
-23.4 1
 
1.0%
-18.5 1
 
1.0%
-15.9 1
 
1.0%
-15.1 1
 
1.0%
-15.0 1
 
1.0%
-13.7 1
 
1.0%
-13.6 3
2.9%
ValueCountFrequency (%)
49.7 1
1.0%
49.0 1
1.0%
48.6 1
1.0%
46.8 1
1.0%
39.0 1
1.0%
38.9 1
1.0%
38.1 1
1.0%
36.7 1
1.0%
30.5 1
1.0%
29.0 1
1.0%
Distinct86
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4456311
Minimum-49.1
Maximum71.7
Zeros0
Zeros (%)0.0%
Negative42
Negative (%)40.8%
Memory size1.0 KiB
2023-12-13T00:31:44.659286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-49.1
5-th percentile-19.69
Q1-5.6
median2.7
Q39.05
95-th percentile27.64
Maximum71.7
Range120.8
Interquartile range (IQR)14.65

Descriptive statistics

Standard deviation18.024302
Coefficient of variation (CV)7.3700002
Kurtosis2.6590508
Mean2.4456311
Median Absolute Deviation (MAD)7.3
Skewness0.31079804
Sum251.9
Variance324.87545
MonotonicityNot monotonic
2023-12-13T00:31:44.861219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.6 5
 
4.9%
-18.6 4
 
3.9%
7.7 3
 
2.9%
5.1 2
 
1.9%
3.0 2
 
1.9%
24.4 2
 
1.9%
23.7 2
 
1.9%
9.3 2
 
1.9%
-18.4 2
 
1.9%
6.1 2
 
1.9%
Other values (76) 77
74.8%
ValueCountFrequency (%)
-49.1 1
 
1.0%
-48.1 1
 
1.0%
-46.2 1
 
1.0%
-23.3 1
 
1.0%
-20.4 1
 
1.0%
-19.8 1
 
1.0%
-18.7 1
 
1.0%
-18.6 4
3.9%
-18.5 1
 
1.0%
-18.4 2
1.9%
ValueCountFrequency (%)
71.7 1
1.0%
49.2 1
1.0%
43.7 1
1.0%
39.1 1
1.0%
35.2 1
1.0%
27.9 1
1.0%
25.3 1
1.0%
24.8 1
1.0%
24.4 2
1.9%
23.7 2
1.9%
Distinct86
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38349515
Minimum-53.8
Maximum46.5
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)49.5%
Memory size1.0 KiB
2023-12-13T00:31:45.032933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53.8
5-th percentile-17.2
Q1-7.15
median0.1
Q37.2
95-th percentile30.75
Maximum46.5
Range100.3
Interquartile range (IQR)14.35

Descriptive statistics

Standard deviation17.021302
Coefficient of variation (CV)44.384661
Kurtosis1.955349
Mean0.38349515
Median Absolute Deviation (MAD)7.3
Skewness-0.074596297
Sum39.5
Variance289.72472
MonotonicityNot monotonic
2023-12-13T00:31:45.239336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.8 3
 
2.9%
-3.1 3
 
2.9%
2.1 3
 
2.9%
-16.4 3
 
2.9%
-16.2 3
 
2.9%
1.0 2
 
1.9%
-17.2 2
 
1.9%
-1.4 2
 
1.9%
0.7 2
 
1.9%
3.0 2
 
1.9%
Other values (76) 78
75.7%
ValueCountFrequency (%)
-53.8 1
 
1.0%
-47.6 1
 
1.0%
-44.3 1
 
1.0%
-43.2 1
 
1.0%
-18.5 1
 
1.0%
-17.2 2
1.9%
-16.5 1
 
1.0%
-16.4 3
2.9%
-16.2 3
2.9%
-15.8 1
 
1.0%
ValueCountFrequency (%)
46.5 1
1.0%
45.6 1
1.0%
42.9 1
1.0%
34.2 1
1.0%
34.1 1
1.0%
30.8 1
1.0%
30.3 1
1.0%
26.1 1
1.0%
22.9 1
1.0%
21.5 1
1.0%
Distinct89
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.31262136
Minimum-44.3
Maximum41
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)51.5%
Memory size1.0 KiB
2023-12-13T00:31:45.461285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-44.3
5-th percentile-18.06
Q1-6.45
median-0.2
Q36.85
95-th percentile24.73
Maximum41
Range85.3
Interquartile range (IQR)13.3

Descriptive statistics

Standard deviation13.955754
Coefficient of variation (CV)-44.641077
Kurtosis1.592503
Mean-0.31262136
Median Absolute Deviation (MAD)6.9
Skewness-0.23439521
Sum-32.2
Variance194.76307
MonotonicityNot monotonic
2023-12-13T00:31:45.669513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.1 6
 
5.8%
-6.1 3
 
2.9%
2.6 3
 
2.9%
-6.4 3
 
2.9%
-3.9 2
 
1.9%
-1.1 2
 
1.9%
6.9 2
 
1.9%
5.8 1
 
1.0%
41.0 1
 
1.0%
25.1 1
 
1.0%
Other values (79) 79
76.7%
ValueCountFrequency (%)
-44.3 1
1.0%
-38.7 1
1.0%
-38.1 1
1.0%
-30.1 1
1.0%
-29.8 1
1.0%
-18.1 1
1.0%
-17.7 1
1.0%
-17.4 1
1.0%
-17.1 1
1.0%
-16.6 1
1.0%
ValueCountFrequency (%)
41.0 1
1.0%
31.7 1
1.0%
27.4 1
1.0%
26.7 1
1.0%
25.8 1
1.0%
25.1 1
1.0%
21.4 1
1.0%
20.8 1
1.0%
16.4 1
1.0%
15.5 1
1.0%
Distinct86
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0058252
Minimum-47
Maximum51.2
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)43.7%
Memory size1.0 KiB
2023-12-13T00:31:45.888912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-47
5-th percentile-24.65
Q1-7.8
median2.1
Q36.55
95-th percentile28.7
Maximum51.2
Range98.2
Interquartile range (IQR)14.35

Descriptive statistics

Standard deviation16.10076
Coefficient of variation (CV)16.007512
Kurtosis1.835756
Mean1.0058252
Median Absolute Deviation (MAD)6.5
Skewness0.19271122
Sum103.6
Variance259.23448
MonotonicityNot monotonic
2023-12-13T00:31:46.088686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.7 4
 
3.9%
6.1 3
 
2.9%
5.1 3
 
2.9%
2.1 3
 
2.9%
6.4 3
 
2.9%
5.2 2
 
1.9%
6.3 2
 
1.9%
5.7 2
 
1.9%
-9.1 2
 
1.9%
10.8 2
 
1.9%
Other values (76) 77
74.8%
ValueCountFrequency (%)
-47.0 1
1.0%
-43.1 1
1.0%
-28.1 1
1.0%
-26.9 1
1.0%
-26.8 1
1.0%
-24.8 1
1.0%
-23.3 1
1.0%
-22.1 1
1.0%
-21.4 1
1.0%
-20.8 1
1.0%
ValueCountFrequency (%)
51.2 1
1.0%
49.2 1
1.0%
41.8 1
1.0%
36.2 1
1.0%
30.1 1
1.0%
29.2 1
1.0%
24.2 1
1.0%
23.7 1
1.0%
21.0 1
1.0%
19.7 1
1.0%

Sample

11대코드코드명재고(2020-01)재고(2020-02)재고(2020-03)재고(2020-04)재고(2020-05)재고(2020-06)재고(2020-07)재고(2020-08)재고(2020-09)재고(2020-10)재고(2020-11)재고(2020-12)재고(2020-01)_전년동월대비증가율재고(2020-02)_전년동월대비증가율재고(2020-03)_전년동월대비증가율재고(2020-04)_전년동월대비증가율재고(2020-05)_전년동월대비증가율재고(2020-06)_전년동월대비증가율재고(2020-07)_전년동월대비증가율재고(2020-08)_전년동월대비증가율재고(2020-09)_전년동월대비증가율재고(2020-10)_전년동월대비증가율재고(2020-11)_전년동월대비증가율재고(2020-12)_전년동월대비증가율
00소재·부품115.8118.6118.8122.3122.1118.2117.9117.7114.4112.9113.4111.14.37.57.89.19.26.63.65.32.40.2-0.4-0.1
111000섬유제품95.798.7101.8104.2103.3100.898.797.596.092.090.690.5-5.1-1.22.87.76.31.4-2.0-2.1-1.2-3.5-3.9-3.0
211010제사 및 방적94.695.2103.8108.1106.7106.2106.1102.396.079.177.470.2-8.7-7.02.78.15.53.22.85.76.4-11.8-13.6-22.1
311020직물직조77.475.977.380.582.478.578.976.777.477.078.279.6-5.9-6.7-3.71.14.4-2.5-3.5-5.5-3.8-2.40.53.9
411030섬유염색 및 가공106.1111.1114.1116.3114.7111.4110.3110.9111.7109.2106.3108.7-1.75.07.914.511.95.82.94.66.35.63.06.3
511090기타 섬유제품132.7148.4150.0147.9142.0140.7129.8134.0131.9134.6128.1131.60.512.313.717.410.87.0-3.8-3.8-4.0-0.4-4.10.5
612000화학물질 및 화학제품120.8121.9125.7140.4139.2126.1121.1122.8120.3115.9108.7110.85.85.910.327.932.017.38.310.65.93.5-3.3-4.3
712010석유화학계 기초화학물질103.3112.9119.9159.0158.4123.1126.4132.1118.997.099.489.312.113.718.661.674.838.530.649.035.217.1-1.115.1
812020기타 기초유기화학물질104.2112.4134.5175.8179.2140.6131.7133.5135.8117.686.896.8-12.0-12.06.843.380.826.312.313.48.7-1.5-17.7-9.5
912030기타 기초무기화학물질124.2121.4117.2128.5127.1117.8107.4108.1101.998.591.295.96.90.24.619.229.915.0-1.3-6.2-13.9-15.8-11.9-15.9
11대코드코드명재고(2020-01)재고(2020-02)재고(2020-03)재고(2020-04)재고(2020-05)재고(2020-06)재고(2020-07)재고(2020-08)재고(2020-09)재고(2020-10)재고(2020-11)재고(2020-12)재고(2020-01)_전년동월대비증가율재고(2020-02)_전년동월대비증가율재고(2020-03)_전년동월대비증가율재고(2020-04)_전년동월대비증가율재고(2020-05)_전년동월대비증가율재고(2020-06)_전년동월대비증가율재고(2020-07)_전년동월대비증가율재고(2020-08)_전년동월대비증가율재고(2020-09)_전년동월대비증가율재고(2020-10)_전년동월대비증가율재고(2020-11)_전년동월대비증가율재고(2020-12)_전년동월대비증가율
9327020트레일러 부품49.3100.988.682.076.672.254.171.558.946.749.255.5-38.0-4.1-22.6-17.2-23.8-14.8-34.7-15.9-12.2-1.4-11.4-26.9
9427030자동차 엔진용 부품139.2146.9146.3154.3150.9146.1143.7142.6142.2136.0137.9140.810.815.115.622.018.913.811.39.17.72.12.65.1
9527040자동차 차체용 부품139.2147.0146.4154.3150.9146.1143.7142.6142.2136.0138.0140.810.815.115.622.018.913.811.39.17.72.12.65.1
9627050자동차부품139.2146.9146.3154.2150.9146.1143.6142.6142.2136.0138.0140.810.815.115.622.018.913.811.39.17.72.12.65.1
9727060선박 구성부분품106.3107.7106.4106.8107.2104.8107.7109.6103.9104.2103.5101.70.31.62.8-0.6-0.8-0.8-3.01.2-2.6-3.1-4.1-1.7
9827070철도차량부품 및 관련장치106.4108.1106.7107.0107.6104.7107.8109.6103.7104.0103.4101.80.31.62.8-0.5-0.8-0.8-3.01.2-2.6-3.2-4.1-1.7
9927080항공기용 엔진 및 부품106.4108.1106.7106.9107.5104.6107.8109.6103.8104.0103.3101.80.31.62.8-0.5-0.8-0.8-3.01.2-2.6-3.1-4.1-1.7
10027090모터사이클106.4107.8106.6106.7107.2104.6107.7109.7103.5103.9103.4101.80.41.62.9-0.5-0.8-0.9-3.01.2-2.6-3.2-4.1-1.7
10127100자전거 및 환자용 차량106.8108.2106.8107.3107.8103.8107.3109.7103.8103.8103.3101.30.71.62.6-0.3-0.8-1.2-3.11.5-2.6-3.1-4.0-1.6
10227110운송장비용 의자101.9105.7110.7114.0111.1112.8110.1110.2118.5117.7119.9121.5-5.77.94.52.4-0.66.13.58.218.526.113.814.6