Overview

Dataset statistics

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

Variable types

Numeric97
Text1

Dataset

Description소재부품장비 생산통계(자체조사결과)와 통계청의 생산자물가 지수를 활용하여 소재부품장비 생산지수를 산출하는 가공통계 - 소재부품을 16개 분야로 나누어 코드화 - 16 분야의 코드명 - 생산량을 지수로 표기(100이 기준수치_16대코드, 코드명,소재부품장비생산지수 등)
URLhttps://www.data.go.kr/data/15099628/fileData.do

Alerts

품목코드 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:29:05.177384
Analysis finished2023-12-11 23:29:06.023255
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품목코드
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21617.984
Minimum0
Maximum35020
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:06.099332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation7131.4786
Coefficient of variation (CV)0.32988639
Kurtosis-0.50608226
Mean21617.984
Median Absolute Deviation (MAD)4940
Skewness-0.19394102
Sum2680630
Variance50857987
MonotonicityStrictly increasing
2023-12-12T08:29:06.261869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.8%
25020 1
 
0.8%
26030 1
 
0.8%
26020 1
 
0.8%
26010 1
 
0.8%
26000 1
 
0.8%
25110 1
 
0.8%
25100 1
 
0.8%
25090 1
 
0.8%
25080 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
0 1
0.8%
10000 1
0.8%
11000 1
0.8%
11010 1
0.8%
11020 1
0.8%
11030 1
0.8%
11040 1
0.8%
11090 1
0.8%
12000 1
0.8%
12010 1
0.8%
ValueCountFrequency (%)
35020 1
0.8%
35010 1
0.8%
35000 1
0.8%
34020 1
0.8%
34010 1
0.8%
34000 1
0.8%
33010 1
0.8%
33000 1
0.8%
32040 1
0.8%
32030 1
0.8%
Distinct123
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:29:06.635404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length9.6129032
Min length2

Characters and Unicode

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

Unique

Unique122 ?
Unique (%)98.4%

Sample

1st row소재부품장비
2nd row소재
3rd row섬유제품
4th row제사 및 방적
5th row직물직조
ValueCountFrequency (%)
48
 
15.4%
기타 20
 
6.4%
부품 9
 
2.9%
산업용 4
 
1.3%
장비 4
 
1.3%
기계 4
 
1.3%
비철금속 3
 
1.0%
전자부품 3
 
1.0%
1차 2
 
0.6%
자동차 2
 
0.6%
Other values (194) 212
68.2%
2023-12-12T08:29:07.126906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

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

Most frequent character per category

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

Most occurring scripts

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

Most frequent character per script

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

Most occurring blocks

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

Most frequent character per block

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

생산지수(2015-01)
Real number (ℝ)

Distinct99
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.545161
Minimum53.3
Maximum142.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:07.291905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.3
5-th percentile78.945
Q190.675
median97.05
Q3100.85
95-th percentile114.35
Maximum142.8
Range89.5
Interquartile range (IQR)10.175

Descriptive statistics

Standard deviation11.377673
Coefficient of variation (CV)0.11784819
Kurtosis4.7309505
Mean96.545161
Median Absolute Deviation (MAD)5.15
Skewness0.39640165
Sum11971.6
Variance129.45144
MonotonicityNot monotonic
2023-12-12T08:29:07.447741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.7 4
 
3.2%
99.4 4
 
3.2%
90.6 3
 
2.4%
99.3 3
 
2.4%
99.6 3
 
2.4%
89.4 2
 
1.6%
85.9 2
 
1.6%
91.4 2
 
1.6%
100.5 2
 
1.6%
100.2 2
 
1.6%
Other values (89) 97
78.2%
ValueCountFrequency (%)
53.3 1
0.8%
66.9 1
0.8%
72.1 1
0.8%
75.8 1
0.8%
76.1 1
0.8%
77.7 1
0.8%
78.9 1
0.8%
79.2 1
0.8%
79.7 1
0.8%
80.6 1
0.8%
ValueCountFrequency (%)
142.8 1
0.8%
141.7 1
0.8%
116.3 1
0.8%
115.5 1
0.8%
115.3 1
0.8%
114.7 1
0.8%
114.5 1
0.8%
113.5 1
0.8%
113.2 1
0.8%
112.5 1
0.8%

생산지수(2015-02)
Real number (ℝ)

Distinct85
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.057258
Minimum47.1
Maximum119.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:07.917845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.1
5-th percentile77.305
Q183.9
median87.5
Q392.325
95-th percentile98.92
Maximum119.9
Range72.8
Interquartile range (IQR)8.425

Descriptive statistics

Standard deviation8.5701427
Coefficient of variation (CV)0.09732466
Kurtosis5.3014633
Mean88.057258
Median Absolute Deviation (MAD)4.7
Skewness-0.41367741
Sum10919.1
Variance73.447345
MonotonicityNot monotonic
2023-12-12T08:29:08.097555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.2 5
 
4.0%
92.2 5
 
4.0%
85.8 4
 
3.2%
92.3 4
 
3.2%
86.0 4
 
3.2%
81.1 3
 
2.4%
87.8 3
 
2.4%
79.5 3
 
2.4%
94.7 3
 
2.4%
86.9 2
 
1.6%
Other values (75) 88
71.0%
ValueCountFrequency (%)
47.1 1
 
0.8%
67.6 1
 
0.8%
68.0 1
 
0.8%
68.6 1
 
0.8%
72.2 1
 
0.8%
75.2 1
 
0.8%
77.2 1
 
0.8%
77.9 1
 
0.8%
79.5 3
2.4%
79.7 1
 
0.8%
ValueCountFrequency (%)
119.9 1
0.8%
114.1 1
0.8%
106.6 1
0.8%
102.6 2
1.6%
100.5 1
0.8%
99.1 1
0.8%
97.9 2
1.6%
97.6 2
1.6%
97.5 1
0.8%
97.3 1
0.8%

생산지수(2015-03)
Real number (ℝ)

Distinct96
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.91371
Minimum76.5
Maximum138.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:08.282801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.5
5-th percentile87.59
Q1100.175
median105.55
Q3110.45
95-th percentile116.695
Maximum138.1
Range61.6
Interquartile range (IQR)10.275

Descriptive statistics

Standard deviation9.271105
Coefficient of variation (CV)0.088368861
Kurtosis1.9989621
Mean104.91371
Median Absolute Deviation (MAD)5.1
Skewness-0.11088305
Sum13009.3
Variance85.953388
MonotonicityNot monotonic
2023-12-12T08:29:08.448309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.4 5
 
4.0%
114.4 4
 
3.2%
113.5 3
 
2.4%
104.8 3
 
2.4%
107.7 3
 
2.4%
107.0 3
 
2.4%
102.1 3
 
2.4%
107.8 3
 
2.4%
106.2 2
 
1.6%
99.8 2
 
1.6%
Other values (86) 93
75.0%
ValueCountFrequency (%)
76.5 1
0.8%
77.6 1
0.8%
82.6 1
0.8%
85.5 1
0.8%
86.9 1
0.8%
87.3 1
0.8%
87.5 1
0.8%
88.1 1
0.8%
90.7 1
0.8%
92.3 1
0.8%
ValueCountFrequency (%)
138.1 1
0.8%
133.0 1
0.8%
121.6 1
0.8%
120.9 1
0.8%
119.9 1
0.8%
117.9 1
0.8%
116.8 1
0.8%
116.1 1
0.8%
114.8 1
0.8%
114.6 1
0.8%

생산지수(2015-04)
Real number (ℝ)

Distinct90
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.93468
Minimum79.7
Maximum147.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:08.614969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.7
5-th percentile87.38
Q197.375
median103.95
Q3105.825
95-th percentile110.94
Maximum147.7
Range68
Interquartile range (IQR)8.45

Descriptive statistics

Standard deviation8.009842
Coefficient of variation (CV)0.078578185
Kurtosis8.0881863
Mean101.93468
Median Absolute Deviation (MAD)3.45
Skewness0.90301337
Sum12639.9
Variance64.157568
MonotonicityNot monotonic
2023-12-12T08:29:08.773320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.4 9
 
7.3%
105.5 4
 
3.2%
104.5 4
 
3.2%
105.3 3
 
2.4%
98.9 3
 
2.4%
104.3 2
 
1.6%
106.9 2
 
1.6%
103.5 2
 
1.6%
104.1 2
 
1.6%
106.2 2
 
1.6%
Other values (80) 91
73.4%
ValueCountFrequency (%)
79.7 1
0.8%
84.0 1
0.8%
84.4 1
0.8%
84.9 1
0.8%
85.7 1
0.8%
85.9 1
0.8%
87.2 1
0.8%
88.4 1
0.8%
89.7 1
0.8%
91.1 2
1.6%
ValueCountFrequency (%)
147.7 1
0.8%
114.9 1
0.8%
114.3 1
0.8%
114.0 1
0.8%
111.7 1
0.8%
111.2 1
0.8%
111.0 1
0.8%
110.6 1
0.8%
109.7 1
0.8%
109.3 1
0.8%

생산지수(2015-05)
Real number (ℝ)

Distinct83
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.107258
Minimum76.6
Maximum121.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:08.952811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.6
5-th percentile88.145
Q194.775
median98.35
Q3100.975
95-th percentile106.395
Maximum121.7
Range45.1
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation5.8551232
Coefficient of variation (CV)0.059680836
Kurtosis2.7903475
Mean98.107258
Median Absolute Deviation (MAD)3.05
Skewness-0.046669781
Sum12165.3
Variance34.282467
MonotonicityNot monotonic
2023-12-12T08:29:09.127604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.4 8
 
6.5%
96.3 4
 
3.2%
100.6 4
 
3.2%
100.3 4
 
3.2%
95.0 3
 
2.4%
101.3 3
 
2.4%
96.7 3
 
2.4%
97.2 2
 
1.6%
96.9 2
 
1.6%
98.3 2
 
1.6%
Other values (73) 89
71.8%
ValueCountFrequency (%)
76.6 1
0.8%
83.2 1
0.8%
84.5 1
0.8%
86.3 1
0.8%
87.3 1
0.8%
87.4 1
0.8%
88.1 1
0.8%
88.4 1
0.8%
90.1 2
1.6%
90.6 1
0.8%
ValueCountFrequency (%)
121.7 1
0.8%
110.6 1
0.8%
109.7 1
0.8%
109.6 1
0.8%
108.7 1
0.8%
107.6 1
0.8%
106.5 1
0.8%
105.8 1
0.8%
105.0 1
0.8%
104.9 1
0.8%

생산지수(2015-06)
Real number (ℝ)

Distinct96
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.10242
Minimum74.9
Maximum133.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:09.301541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.9
5-th percentile90.895
Q198.775
median104.45
Q3109.3
95-th percentile115.7
Maximum133.8
Range58.9
Interquartile range (IQR)10.525

Descriptive statistics

Standard deviation7.9497657
Coefficient of variation (CV)0.076364851
Kurtosis1.841033
Mean104.10242
Median Absolute Deviation (MAD)5.2
Skewness-0.10292738
Sum12908.7
Variance63.198775
MonotonicityNot monotonic
2023-12-12T08:29:09.464165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.8 6
 
4.8%
98.0 3
 
2.4%
106.6 3
 
2.4%
101.6 3
 
2.4%
106.3 2
 
1.6%
109.3 2
 
1.6%
115.6 2
 
1.6%
115.7 2
 
1.6%
107.4 2
 
1.6%
104.4 2
 
1.6%
Other values (86) 97
78.2%
ValueCountFrequency (%)
74.9 1
0.8%
86.5 1
0.8%
86.8 1
0.8%
88.0 1
0.8%
88.7 1
0.8%
89.9 1
0.8%
90.4 1
0.8%
93.7 1
0.8%
93.8 1
0.8%
94.5 2
1.6%
ValueCountFrequency (%)
133.8 1
0.8%
118.4 1
0.8%
117.5 1
0.8%
117.3 1
0.8%
116.5 1
0.8%
115.8 1
0.8%
115.7 2
1.6%
115.6 2
1.6%
115.5 1
0.8%
115.0 1
0.8%

생산지수(2015-07)
Real number (ℝ)

Distinct89
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.90242
Minimum49
Maximum124.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:09.631484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile93.645
Q199.2
median102.6
Q3104.7
95-th percentile110.225
Maximum124.7
Range75.7
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation7.6246121
Coefficient of variation (CV)0.07482268
Kurtosis20.287893
Mean101.90242
Median Absolute Deviation (MAD)2.95
Skewness-3.0020766
Sum12635.9
Variance58.13471
MonotonicityNot monotonic
2023-12-12T08:29:09.803111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.2 8
 
6.5%
102.3 4
 
3.2%
104.2 3
 
2.4%
102.6 3
 
2.4%
103.7 3
 
2.4%
103.2 2
 
1.6%
107.2 2
 
1.6%
103.1 2
 
1.6%
107.4 2
 
1.6%
101.2 2
 
1.6%
Other values (79) 93
75.0%
ValueCountFrequency (%)
49.0 1
0.8%
73.1 1
0.8%
81.4 1
0.8%
87.7 1
0.8%
91.8 1
0.8%
92.1 1
0.8%
93.6 1
0.8%
93.9 1
0.8%
94.4 1
0.8%
95.6 1
0.8%
ValueCountFrequency (%)
124.7 1
0.8%
118.8 1
0.8%
118.3 1
0.8%
112.0 1
0.8%
111.3 1
0.8%
110.6 1
0.8%
110.3 1
0.8%
109.8 1
0.8%
108.3 1
0.8%
107.9 1
0.8%

생산지수(2015-08)
Real number (ℝ)

Distinct96
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.197581
Minimum19
Maximum122.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:09.960059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile82.63
Q190.05
median92.2
Q398.7
95-th percentile105.7
Maximum122.7
Range103.7
Interquartile range (IQR)8.65

Descriptive statistics

Standard deviation10.014692
Coefficient of variation (CV)0.10745657
Kurtosis24.003532
Mean93.197581
Median Absolute Deviation (MAD)4.35
Skewness-3.0027967
Sum11556.5
Variance100.29406
MonotonicityNot monotonic
2023-12-12T08:29:10.132889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.1 6
 
4.8%
92.2 4
 
3.2%
90.7 3
 
2.4%
90.2 3
 
2.4%
91.9 3
 
2.4%
95.4 2
 
1.6%
110.6 2
 
1.6%
82.8 2
 
1.6%
82.9 2
 
1.6%
103.7 2
 
1.6%
Other values (86) 95
76.6%
ValueCountFrequency (%)
19.0 1
0.8%
77.4 1
0.8%
79.4 1
0.8%
81.2 1
0.8%
81.8 1
0.8%
82.4 1
0.8%
82.6 1
0.8%
82.8 2
1.6%
82.9 2
1.6%
83.4 1
0.8%
ValueCountFrequency (%)
122.7 1
0.8%
111.8 1
0.8%
110.6 2
1.6%
107.3 1
0.8%
107.0 1
0.8%
105.7 2
1.6%
105.4 1
0.8%
103.9 1
0.8%
103.8 1
0.8%
103.7 2
1.6%

생산지수(2015-09)
Real number (ℝ)

Distinct94
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.366129
Minimum51.1
Maximum123.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:10.285794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.1
5-th percentile85.01
Q193.9
median97.95
Q3102.025
95-th percentile114.955
Maximum123.4
Range72.3
Interquartile range (IQR)8.125

Descriptive statistics

Standard deviation8.9918652
Coefficient of variation (CV)0.09141221
Kurtosis6.1897829
Mean98.366129
Median Absolute Deviation (MAD)4.05
Skewness-0.88479507
Sum12197.4
Variance80.85364
MonotonicityNot monotonic
2023-12-12T08:29:10.428706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.4 5
 
4.0%
93.3 5
 
4.0%
94.5 3
 
2.4%
100.7 3
 
2.4%
94.0 3
 
2.4%
101.1 2
 
1.6%
97.6 2
 
1.6%
99.3 2
 
1.6%
101.0 2
 
1.6%
94.7 2
 
1.6%
Other values (84) 95
76.6%
ValueCountFrequency (%)
51.1 1
0.8%
73.3 1
0.8%
78.7 1
0.8%
81.6 1
0.8%
82.6 1
0.8%
84.4 1
0.8%
84.5 1
0.8%
87.9 1
0.8%
89.4 1
0.8%
90.2 1
0.8%
ValueCountFrequency (%)
123.4 1
0.8%
117.5 1
0.8%
117.4 1
0.8%
116.3 2
1.6%
115.1 1
0.8%
115.0 1
0.8%
114.7 2
1.6%
111.3 1
0.8%
111.1 1
0.8%
109.9 1
0.8%

생산지수(2015-10)
Real number (ℝ)

Distinct95
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.23629
Minimum79.1
Maximum161.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:10.600512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.1
5-th percentile89.22
Q197.225
median104.05
Q3107.05
95-th percentile119.57
Maximum161.3
Range82.2
Interquartile range (IQR)9.825

Descriptive statistics

Standard deviation11.132822
Coefficient of variation (CV)0.10783826
Kurtosis6.5537732
Mean103.23629
Median Absolute Deviation (MAD)5.05
Skewness1.5083887
Sum12801.3
Variance123.93973
MonotonicityNot monotonic
2023-12-12T08:29:10.761659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.2 5
 
4.0%
105.7 4
 
3.2%
106.3 4
 
3.2%
103.5 3
 
2.4%
90.3 3
 
2.4%
98.0 3
 
2.4%
105.4 2
 
1.6%
108.2 2
 
1.6%
104.5 2
 
1.6%
106.6 2
 
1.6%
Other values (85) 94
75.8%
ValueCountFrequency (%)
79.1 1
 
0.8%
82.6 1
 
0.8%
84.9 2
 
1.6%
85.1 1
 
0.8%
86.4 1
 
0.8%
89.1 1
 
0.8%
89.9 1
 
0.8%
90.0 1
 
0.8%
90.2 5
4.0%
90.3 3
2.4%
ValueCountFrequency (%)
161.3 1
0.8%
145.1 1
0.8%
131.8 1
0.8%
126.4 1
0.8%
121.9 1
0.8%
121.4 1
0.8%
119.6 1
0.8%
119.4 1
0.8%
115.0 1
0.8%
114.6 1
0.8%

생산지수(2015-11)
Real number (ℝ)

Distinct89
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.975
Minimum80.7
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:10.918471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.7
5-th percentile90.15
Q196.9
median101.7
Q3104.925
95-th percentile116.095
Maximum127
Range46.3
Interquartile range (IQR)8.025

Descriptive statistics

Standard deviation8.0040094
Coefficient of variation (CV)0.078489918
Kurtosis1.1035198
Mean101.975
Median Absolute Deviation (MAD)4
Skewness0.33547263
Sum12644.9
Variance64.064167
MonotonicityNot monotonic
2023-12-12T08:29:11.063429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.5 4
 
3.2%
109.1 3
 
2.4%
95.9 3
 
2.4%
102.6 3
 
2.4%
95.6 3
 
2.4%
98.8 3
 
2.4%
96.0 3
 
2.4%
103.9 3
 
2.4%
97.7 2
 
1.6%
104.3 2
 
1.6%
Other values (79) 95
76.6%
ValueCountFrequency (%)
80.7 1
0.8%
80.8 1
0.8%
83.3 1
0.8%
86.5 1
0.8%
87.3 1
0.8%
87.4 1
0.8%
89.7 1
0.8%
92.7 1
0.8%
92.8 1
0.8%
93.2 2
1.6%
ValueCountFrequency (%)
127.0 1
0.8%
123.9 1
0.8%
120.4 1
0.8%
119.7 2
1.6%
118.9 1
0.8%
116.2 1
0.8%
115.5 1
0.8%
115.0 1
0.8%
113.5 1
0.8%
113.2 1
0.8%

생산지수(2015-12)
Real number (ℝ)

Distinct92
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.42016
Minimum59.4
Maximum173.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:11.227409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.4
5-th percentile91.525
Q1101.675
median107.6
Q3112.1
95-th percentile128.4
Maximum173.9
Range114.5
Interquartile range (IQR)10.425

Descriptive statistics

Standard deviation14.496801
Coefficient of variation (CV)0.13370946
Kurtosis6.4665235
Mean108.42016
Median Absolute Deviation (MAD)5.2
Skewness1.1202877
Sum13444.1
Variance210.15723
MonotonicityNot monotonic
2023-12-12T08:29:11.365452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.6 6
 
4.8%
108.4 4
 
3.2%
101.2 3
 
2.4%
97.5 3
 
2.4%
107.7 3
 
2.4%
107.5 3
 
2.4%
110.1 3
 
2.4%
107.4 2
 
1.6%
102.9 2
 
1.6%
114.0 2
 
1.6%
Other values (82) 93
75.0%
ValueCountFrequency (%)
59.4 1
0.8%
63.0 1
0.8%
81.3 1
0.8%
88.1 1
0.8%
88.8 1
0.8%
91.3 2
1.6%
92.8 1
0.8%
93.5 1
0.8%
93.6 1
0.8%
93.7 1
0.8%
ValueCountFrequency (%)
173.9 1
0.8%
166.0 1
0.8%
153.7 1
0.8%
148.5 1
0.8%
134.5 1
0.8%
133.7 1
0.8%
128.4 2
1.6%
128.0 1
0.8%
124.2 1
0.8%
123.2 1
0.8%

생산지수(2016-01)
Real number (ℝ)

Distinct95
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.991935
Minimum53.2
Maximum148.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:11.507720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.2
5-th percentile79.27
Q187.5
median96.4
Q3103.475
95-th percentile116.9
Maximum148.4
Range95.2
Interquartile range (IQR)15.975

Descriptive statistics

Standard deviation13.314218
Coefficient of variation (CV)0.13727139
Kurtosis3.1561422
Mean96.991935
Median Absolute Deviation (MAD)7.95
Skewness0.70435433
Sum12027
Variance177.26839
MonotonicityNot monotonic
2023-12-12T08:29:11.639233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.0 6
 
4.8%
85.9 4
 
3.2%
92.0 3
 
2.4%
96.4 3
 
2.4%
87.2 2
 
1.6%
97.9 2
 
1.6%
108.7 2
 
1.6%
87.6 2
 
1.6%
89.1 2
 
1.6%
100.9 2
 
1.6%
Other values (85) 96
77.4%
ValueCountFrequency (%)
53.2 1
0.8%
65.6 1
0.8%
73.0 2
1.6%
77.2 1
0.8%
78.4 1
0.8%
78.7 1
0.8%
82.5 1
0.8%
84.4 1
0.8%
84.8 1
0.8%
84.9 1
0.8%
ValueCountFrequency (%)
148.4 2
1.6%
125.4 1
0.8%
121.6 1
0.8%
121.3 1
0.8%
121.0 1
0.8%
116.9 2
1.6%
116.3 1
0.8%
114.9 1
0.8%
114.8 1
0.8%
114.7 1
0.8%

생산지수(2016-02)
Real number (ℝ)

Distinct97
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.479839
Minimum51.8
Maximum119.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:11.795375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.8
5-th percentile74.43
Q183.8
median88.3
Q394.925
95-th percentile105.785
Maximum119.2
Range67.4
Interquartile range (IQR)11.125

Descriptive statistics

Standard deviation10.151815
Coefficient of variation (CV)0.11345366
Kurtosis1.6983153
Mean89.479839
Median Absolute Deviation (MAD)5.7
Skewness0.022610031
Sum11095.5
Variance103.05935
MonotonicityNot monotonic
2023-12-12T08:29:11.967089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.7 5
 
4.0%
83.8 3
 
2.4%
86.6 3
 
2.4%
86.2 3
 
2.4%
86.3 3
 
2.4%
94.3 3
 
2.4%
90.5 3
 
2.4%
80.8 2
 
1.6%
86.5 2
 
1.6%
83.9 2
 
1.6%
Other values (87) 95
76.6%
ValueCountFrequency (%)
51.8 1
0.8%
66.6 1
0.8%
70.3 2
1.6%
71.0 1
0.8%
73.5 1
0.8%
74.4 1
0.8%
74.6 1
0.8%
74.8 1
0.8%
75.7 1
0.8%
76.2 1
0.8%
ValueCountFrequency (%)
119.2 1
0.8%
117.9 1
0.8%
116.9 1
0.8%
111.7 1
0.8%
107.2 1
0.8%
106.9 1
0.8%
105.8 1
0.8%
105.7 1
0.8%
103.3 2
1.6%
102.3 1
0.8%

생산지수(2016-03)
Real number (ℝ)

Distinct96
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.59194
Minimum86.9
Maximum135.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:12.404027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.9
5-th percentile94.765
Q1103.7
median107
Q3111.675
95-th percentile120.025
Maximum135.7
Range48.8
Interquartile range (IQR)7.975

Descriptive statistics

Standard deviation7.689985
Coefficient of variation (CV)0.071473619
Kurtosis1.8630841
Mean107.59194
Median Absolute Deviation (MAD)4.05
Skewness0.64810402
Sum13341.4
Variance59.135869
MonotonicityNot monotonic
2023-12-12T08:29:12.567825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.7 5
 
4.0%
106.2 4
 
3.2%
107.3 4
 
3.2%
113.4 3
 
2.4%
103.2 2
 
1.6%
112.0 2
 
1.6%
105.6 2
 
1.6%
107.0 2
 
1.6%
103.9 2
 
1.6%
116.3 2
 
1.6%
Other values (86) 96
77.4%
ValueCountFrequency (%)
86.9 1
0.8%
92.5 1
0.8%
93.7 1
0.8%
94.0 1
0.8%
94.2 2
1.6%
94.6 1
0.8%
95.7 1
0.8%
96.0 1
0.8%
96.3 1
0.8%
97.2 1
0.8%
ValueCountFrequency (%)
135.7 1
0.8%
130.5 1
0.8%
128.8 1
0.8%
128.6 1
0.8%
123.8 1
0.8%
121.3 1
0.8%
120.4 1
0.8%
117.9 1
0.8%
117.8 1
0.8%
117.7 1
0.8%

생산지수(2016-04)
Real number (ℝ)

Distinct94
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.68548
Minimum75.8
Maximum140.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:12.721323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.8
5-th percentile84.77
Q195.4
median101.15
Q3104.825
95-th percentile116.54
Maximum140.6
Range64.8
Interquartile range (IQR)9.425

Descriptive statistics

Standard deviation9.8397129
Coefficient of variation (CV)0.097727225
Kurtosis1.9846212
Mean100.68548
Median Absolute Deviation (MAD)5.05
Skewness0.42531226
Sum12485
Variance96.81995
MonotonicityNot monotonic
2023-12-12T08:29:12.890597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.4 6
 
4.8%
103.3 5
 
4.0%
101.4 3
 
2.4%
100.7 3
 
2.4%
98.1 3
 
2.4%
101.6 3
 
2.4%
102.2 3
 
2.4%
103.2 3
 
2.4%
103.8 2
 
1.6%
95.3 2
 
1.6%
Other values (84) 91
73.4%
ValueCountFrequency (%)
75.8 1
0.8%
76.5 1
0.8%
78.5 1
0.8%
80.5 1
0.8%
82.8 1
0.8%
84.5 2
1.6%
86.3 1
0.8%
86.7 1
0.8%
86.8 1
0.8%
86.9 1
0.8%
ValueCountFrequency (%)
140.6 1
0.8%
126.4 1
0.8%
122.1 1
0.8%
119.0 1
0.8%
117.5 1
0.8%
117.4 1
0.8%
116.6 1
0.8%
116.2 1
0.8%
115.8 1
0.8%
115.0 1
0.8%

생산지수(2016-05)
Real number (ℝ)

Distinct96
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.37823
Minimum67.4
Maximum158.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:13.024394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.4
5-th percentile91.18
Q199.7
median103.05
Q3108.825
95-th percentile124.825
Maximum158.3
Range90.9
Interquartile range (IQR)9.125

Descriptive statistics

Standard deviation11.029978
Coefficient of variation (CV)0.10567317
Kurtosis5.2659714
Mean104.37823
Median Absolute Deviation (MAD)4.5
Skewness0.71277934
Sum12942.9
Variance121.66042
MonotonicityNot monotonic
2023-12-12T08:29:13.172236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.3 6
 
4.8%
96.3 3
 
2.4%
100.2 3
 
2.4%
106.8 3
 
2.4%
100.0 3
 
2.4%
100.1 3
 
2.4%
101.2 2
 
1.6%
103.5 2
 
1.6%
96.0 2
 
1.6%
98.8 2
 
1.6%
Other values (86) 95
76.6%
ValueCountFrequency (%)
67.4 1
0.8%
73.7 1
0.8%
75.2 1
0.8%
84.9 1
0.8%
85.1 1
0.8%
90.3 1
0.8%
91.0 1
0.8%
92.2 1
0.8%
92.5 1
0.8%
92.7 1
0.8%
ValueCountFrequency (%)
158.3 1
0.8%
129.8 1
0.8%
128.0 1
0.8%
126.5 2
1.6%
125.4 1
0.8%
125.2 1
0.8%
122.7 1
0.8%
120.8 1
0.8%
119.9 1
0.8%
119.0 1
0.8%

생산지수(2016-06)
Real number (ℝ)

Distinct94
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.42177
Minimum63.4
Maximum175.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:13.306041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.4
5-th percentile83.915
Q1101.6
median106.15
Q3110.625
95-th percentile124.5
Maximum175.7
Range112.3
Interquartile range (IQR)9.025

Descriptive statistics

Standard deviation13.734874
Coefficient of variation (CV)0.12906075
Kurtosis6.3481841
Mean106.42177
Median Absolute Deviation (MAD)4.55
Skewness0.73828726
Sum13196.3
Variance188.64676
MonotonicityNot monotonic
2023-12-12T08:29:13.449659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.2 5
 
4.0%
105.2 4
 
3.2%
105.9 3
 
2.4%
110.3 3
 
2.4%
106.1 3
 
2.4%
105.3 2
 
1.6%
102.8 2
 
1.6%
104.6 2
 
1.6%
101.6 2
 
1.6%
106.4 2
 
1.6%
Other values (84) 96
77.4%
ValueCountFrequency (%)
63.4 1
0.8%
69.1 1
0.8%
71.1 1
0.8%
73.3 1
0.8%
78.5 1
0.8%
80.6 1
0.8%
83.3 1
0.8%
87.4 1
0.8%
88.6 1
0.8%
90.8 1
0.8%
ValueCountFrequency (%)
175.7 1
0.8%
150.5 1
0.8%
135.6 2
1.6%
126.6 1
0.8%
125.5 1
0.8%
124.5 2
1.6%
124.2 1
0.8%
123.2 1
0.8%
123.1 1
0.8%
122.7 2
1.6%

생산지수(2016-07)
Real number (ℝ)

Distinct97
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.55
Minimum40.2
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:13.585504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.2
5-th percentile80.61
Q197.225
median103.25
Q3108.55
95-th percentile121.56
Maximum180
Range139.8
Interquartile range (IQR)11.325

Descriptive statistics

Standard deviation15.000512
Coefficient of variation (CV)0.14627511
Kurtosis8.2281485
Mean102.55
Median Absolute Deviation (MAD)5.8
Skewness0.17448593
Sum12716.2
Variance225.01537
MonotonicityNot monotonic
2023-12-12T08:29:13.735193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.6 4
 
3.2%
98.0 3
 
2.4%
97.9 3
 
2.4%
109.7 3
 
2.4%
103.8 3
 
2.4%
107.8 2
 
1.6%
96.7 2
 
1.6%
90.8 2
 
1.6%
104.2 2
 
1.6%
120.2 2
 
1.6%
Other values (87) 98
79.0%
ValueCountFrequency (%)
40.2 1
0.8%
54.0 1
0.8%
59.3 1
0.8%
69.7 1
0.8%
75.6 1
0.8%
80.3 1
0.8%
80.4 1
0.8%
81.8 1
0.8%
85.6 1
0.8%
87.7 1
0.8%
ValueCountFrequency (%)
180.0 1
0.8%
140.2 1
0.8%
131.6 1
0.8%
124.9 1
0.8%
124.8 1
0.8%
124.1 1
0.8%
121.8 1
0.8%
120.2 2
1.6%
119.3 1
0.8%
118.1 1
0.8%

생산지수(2016-08)
Real number (ℝ)

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.421774
Minimum32.6
Maximum183.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:13.866577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.6
5-th percentile75.63
Q189.175
median97.3
Q3106.425
95-th percentile133.81
Maximum183.3
Range150.7
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation19.620856
Coefficient of variation (CV)0.19734968
Kurtosis3.7958119
Mean99.421774
Median Absolute Deviation (MAD)8.95
Skewness0.91252924
Sum12328.3
Variance384.97798
MonotonicityNot monotonic
2023-12-12T08:29:14.047331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.3 3
 
2.4%
97.5 2
 
1.6%
82.1 2
 
1.6%
97.2 2
 
1.6%
152.9 2
 
1.6%
106.3 2
 
1.6%
151.5 2
 
1.6%
94.1 2
 
1.6%
85.5 2
 
1.6%
111.5 2
 
1.6%
Other values (101) 103
83.1%
ValueCountFrequency (%)
32.6 1
0.8%
57.0 1
0.8%
62.6 1
0.8%
69.8 1
0.8%
73.2 1
0.8%
74.8 1
0.8%
75.6 1
0.8%
75.8 1
0.8%
76.8 1
0.8%
77.6 1
0.8%
ValueCountFrequency (%)
183.3 1
0.8%
152.9 2
1.6%
151.5 2
1.6%
144.5 1
0.8%
133.9 1
0.8%
133.3 1
0.8%
130.7 1
0.8%
124.7 1
0.8%
120.6 1
0.8%
118.6 1
0.8%

생산지수(2016-09)
Real number (ℝ)

Distinct104
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.84032
Minimum32.7
Maximum185.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:14.206814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.7
5-th percentile76.965
Q191.725
median98.75
Q3106.975
95-th percentile133.985
Maximum185.7
Range153
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation18.678952
Coefficient of variation (CV)0.18523296
Kurtosis5.277901
Mean100.84032
Median Absolute Deviation (MAD)7.7
Skewness0.85558832
Sum12504.2
Variance348.90324
MonotonicityNot monotonic
2023-12-12T08:29:14.330390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.2 5
 
4.0%
106.2 2
 
1.6%
98.0 2
 
1.6%
90.0 2
 
1.6%
93.0 2
 
1.6%
106.9 2
 
1.6%
88.9 2
 
1.6%
107.6 2
 
1.6%
95.7 2
 
1.6%
89.6 2
 
1.6%
Other values (94) 101
81.5%
ValueCountFrequency (%)
32.7 1
0.8%
54.6 1
0.8%
63.7 1
0.8%
64.5 1
0.8%
69.7 1
0.8%
72.7 1
0.8%
76.8 1
0.8%
77.9 1
0.8%
78.2 1
0.8%
81.1 1
0.8%
ValueCountFrequency (%)
185.7 1
0.8%
156.8 1
0.8%
154.6 2
1.6%
139.3 1
0.8%
136.0 1
0.8%
134.0 1
0.8%
133.9 1
0.8%
131.5 1
0.8%
120.8 1
0.8%
117.5 1
0.8%

생산지수(2016-10)
Real number (ℝ)

Distinct100
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.45968
Minimum59.7
Maximum187.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:14.462147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.7
5-th percentile78.375
Q199.225
median106.1
Q3112.375
95-th percentile141.445
Maximum187.2
Range127.5
Interquartile range (IQR)13.15

Descriptive statistics

Standard deviation19.090158
Coefficient of variation (CV)0.1776495
Kurtosis4.2203338
Mean107.45968
Median Absolute Deviation (MAD)6.7
Skewness1.0977732
Sum13325
Variance364.43413
MonotonicityNot monotonic
2023-12-12T08:29:14.628147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.6 5
 
4.0%
106.1 3
 
2.4%
94.1 3
 
2.4%
102.7 3
 
2.4%
110.3 3
 
2.4%
111.7 2
 
1.6%
110.7 2
 
1.6%
95.3 2
 
1.6%
116.3 2
 
1.6%
103.1 2
 
1.6%
Other values (90) 97
78.2%
ValueCountFrequency (%)
59.7 1
0.8%
60.0 1
0.8%
65.4 1
0.8%
70.7 1
0.8%
72.4 1
0.8%
76.3 1
0.8%
78.3 1
0.8%
78.8 1
0.8%
79.3 1
0.8%
85.6 1
0.8%
ValueCountFrequency (%)
187.2 1
0.8%
173.4 2
1.6%
156.6 1
0.8%
143.1 1
0.8%
142.7 1
0.8%
141.7 1
0.8%
140.0 2
1.6%
137.1 1
0.8%
136.3 1
0.8%
124.7 1
0.8%

생산지수(2016-11)
Real number (ℝ)

Distinct105
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.12742
Minimum64.5
Maximum178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:14.791053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.5
5-th percentile85.26
Q1104.075
median109.6
Q3119.35
95-th percentile135.755
Maximum178
Range113.5
Interquartile range (IQR)15.275

Descriptive statistics

Standard deviation16.948379
Coefficient of variation (CV)0.15251302
Kurtosis4.1851627
Mean111.12742
Median Absolute Deviation (MAD)7.8
Skewness1.020327
Sum13779.8
Variance287.24753
MonotonicityNot monotonic
2023-12-12T08:29:14.971461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 3
 
2.4%
119.5 3
 
2.4%
107.5 3
 
2.4%
118.1 2
 
1.6%
178.0 2
 
1.6%
105.5 2
 
1.6%
111.6 2
 
1.6%
109.9 2
 
1.6%
104.5 2
 
1.6%
114.4 2
 
1.6%
Other values (95) 101
81.5%
ValueCountFrequency (%)
64.5 1
0.8%
67.3 1
0.8%
78.7 1
0.8%
81.4 1
0.8%
83.3 1
0.8%
84.9 1
0.8%
85.2 1
0.8%
85.6 1
0.8%
86.4 1
0.8%
86.7 1
0.8%
ValueCountFrequency (%)
178.0 2
1.6%
166.1 1
0.8%
154.4 1
0.8%
147.3 1
0.8%
136.4 1
0.8%
135.8 1
0.8%
135.5 1
0.8%
133.9 1
0.8%
133.4 1
0.8%
129.0 1
0.8%

생산지수(2016-12)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.4879
Minimum55.9
Maximum259.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:15.105122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.9
5-th percentile83.63
Q1103.225
median113.25
Q3126.9
95-th percentile158.765
Maximum259.3
Range203.4
Interquartile range (IQR)23.675

Descriptive statistics

Standard deviation27.990558
Coefficient of variation (CV)0.23824204
Kurtosis9.3803236
Mean117.4879
Median Absolute Deviation (MAD)12.15
Skewness2.1354548
Sum14568.5
Variance783.47132
MonotonicityNot monotonic
2023-12-12T08:29:15.241569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146.0 3
 
2.4%
144.1 2
 
1.6%
104.3 2
 
1.6%
146.1 2
 
1.6%
126.5 2
 
1.6%
159.8 2
 
1.6%
97.4 2
 
1.6%
116.9 2
 
1.6%
85.5 2
 
1.6%
104.8 2
 
1.6%
Other values (98) 103
83.1%
ValueCountFrequency (%)
55.9 1
0.8%
64.0 1
0.8%
69.9 1
0.8%
72.6 1
0.8%
77.5 1
0.8%
80.4 1
0.8%
83.6 1
0.8%
83.8 1
0.8%
85.5 2
1.6%
92.1 1
0.8%
ValueCountFrequency (%)
259.3 2
1.6%
174.3 1
0.8%
171.2 1
0.8%
165.8 1
0.8%
159.8 2
1.6%
152.9 1
0.8%
150.2 1
0.8%
149.3 1
0.8%
147.6 1
0.8%
146.3 2
1.6%

생산지수(2017-01)
Real number (ℝ)

Distinct103
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.787903
Minimum45
Maximum190.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:15.364438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile67.33
Q189
median98.4
Q3112.15
95-th percentile131.105
Maximum190.2
Range145.2
Interquartile range (IQR)23.15

Descriptive statistics

Standard deviation20.74417
Coefficient of variation (CV)0.20788261
Kurtosis4.9642627
Mean99.787903
Median Absolute Deviation (MAD)10.9
Skewness1.2638971
Sum12373.7
Variance430.32058
MonotonicityNot monotonic
2023-12-12T08:29:15.495894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.8 4
 
3.2%
113.9 3
 
2.4%
92.4 3
 
2.4%
105.0 2
 
1.6%
116.8 2
 
1.6%
190.2 2
 
1.6%
93.8 2
 
1.6%
127.0 2
 
1.6%
101.8 2
 
1.6%
94.1 2
 
1.6%
Other values (93) 100
80.6%
ValueCountFrequency (%)
45.0 1
0.8%
62.8 1
0.8%
63.3 1
0.8%
64.0 1
0.8%
66.7 1
0.8%
67.2 1
0.8%
67.3 1
0.8%
67.5 1
0.8%
71.9 1
0.8%
74.0 1
0.8%
ValueCountFrequency (%)
190.2 2
1.6%
153.6 1
0.8%
142.4 1
0.8%
135.2 1
0.8%
132.2 1
0.8%
131.6 1
0.8%
128.3 1
0.8%
127.0 2
1.6%
122.7 1
0.8%
119.0 1
0.8%

생산지수(2017-02)
Real number (ℝ)

Distinct105
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.23548
Minimum47.4
Maximum191.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:15.620405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.4
5-th percentile66.895
Q191.9
median99.25
Q3108.6
95-th percentile126.635
Maximum191.6
Range144.2
Interquartile range (IQR)16.7

Descriptive statistics

Standard deviation20.430358
Coefficient of variation (CV)0.20382361
Kurtosis5.7058992
Mean100.23548
Median Absolute Deviation (MAD)8.75
Skewness1.2014156
Sum12429.2
Variance417.39954
MonotonicityNot monotonic
2023-12-12T08:29:15.793566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.6 4
 
3.2%
98.2 3
 
2.4%
94.1 2
 
1.6%
99.6 2
 
1.6%
104.6 2
 
1.6%
100.8 2
 
1.6%
97.7 2
 
1.6%
99.8 2
 
1.6%
94.5 2
 
1.6%
92.3 2
 
1.6%
Other values (95) 101
81.5%
ValueCountFrequency (%)
47.4 1
0.8%
54.9 1
0.8%
60.1 1
0.8%
60.3 1
0.8%
63.5 1
0.8%
63.9 1
0.8%
66.7 1
0.8%
68.0 1
0.8%
68.4 1
0.8%
75.1 1
0.8%
ValueCountFrequency (%)
191.6 2
1.6%
150.4 1
0.8%
139.3 1
0.8%
132.8 1
0.8%
132.6 1
0.8%
127.1 1
0.8%
124.0 1
0.8%
123.0 1
0.8%
119.9 1
0.8%
119.3 1
0.8%

생산지수(2017-03)
Real number (ℝ)

Distinct105
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.73468
Minimum69.1
Maximum228.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:15.951817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.1
5-th percentile80.97
Q1103.05
median111.6
Q3122.925
95-th percentile149.705
Maximum228.9
Range159.8
Interquartile range (IQR)19.875

Descriptive statistics

Standard deviation23.895014
Coefficient of variation (CV)0.20826323
Kurtosis7.1912819
Mean114.73468
Median Absolute Deviation (MAD)9.15
Skewness1.8010186
Sum14227.1
Variance570.97171
MonotonicityNot monotonic
2023-12-12T08:29:16.427300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141.5 5
 
4.0%
113.2 4
 
3.2%
110.2 2
 
1.6%
111.4 2
 
1.6%
104.9 2
 
1.6%
114.7 2
 
1.6%
109.7 2
 
1.6%
111.6 2
 
1.6%
109.9 2
 
1.6%
118.8 2
 
1.6%
Other values (95) 99
79.8%
ValueCountFrequency (%)
69.1 1
0.8%
71.0 1
0.8%
74.0 1
0.8%
75.6 1
0.8%
75.7 1
0.8%
76.5 1
0.8%
80.7 1
0.8%
82.5 1
0.8%
84.7 1
0.8%
87.9 1
0.8%
ValueCountFrequency (%)
228.9 2
 
1.6%
170.4 1
 
0.8%
161.3 1
 
0.8%
157.1 1
 
0.8%
152.4 1
 
0.8%
150.8 1
 
0.8%
143.5 1
 
0.8%
141.8 1
 
0.8%
141.6 1
 
0.8%
141.5 5
4.0%

생산지수(2017-04)
Real number (ℝ)

Distinct100
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.96048
Minimum67.2
Maximum241.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:16.560907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.2
5-th percentile80.895
Q197.05
median105.1
Q3117.5
95-th percentile144.08
Maximum241.1
Range173.9
Interquartile range (IQR)20.45

Descriptive statistics

Standard deviation25.312222
Coefficient of variation (CV)0.2301938
Kurtosis10.144837
Mean109.96048
Median Absolute Deviation (MAD)10.55
Skewness2.3312226
Sum13635.1
Variance640.70859
MonotonicityNot monotonic
2023-12-12T08:29:16.725066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137.1 4
 
3.2%
109.7 3
 
2.4%
105.4 3
 
2.4%
101.8 3
 
2.4%
117.5 3
 
2.4%
116.0 2
 
1.6%
241.1 2
 
1.6%
102.4 2
 
1.6%
91.2 2
 
1.6%
137.3 2
 
1.6%
Other values (90) 98
79.0%
ValueCountFrequency (%)
67.2 1
0.8%
67.3 1
0.8%
69.6 1
0.8%
72.6 1
0.8%
72.7 1
0.8%
75.8 1
0.8%
80.7 1
0.8%
82.0 1
0.8%
82.9 1
0.8%
83.8 1
0.8%
ValueCountFrequency (%)
241.1 2
1.6%
159.0 1
0.8%
151.1 1
0.8%
148.3 1
0.8%
148.0 1
0.8%
144.2 1
0.8%
143.4 1
0.8%
141.3 1
0.8%
139.2 1
0.8%
139.0 1
0.8%

생산지수(2017-05)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.48306
Minimum65.6
Maximum276.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:16.905049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.6
5-th percentile72.63
Q196.5
median107.45
Q3127.025
95-th percentile149.745
Maximum276.9
Range211.3
Interquartile range (IQR)30.525

Descriptive statistics

Standard deviation30.02068
Coefficient of variation (CV)0.26689067
Kurtosis13.039812
Mean112.48306
Median Absolute Deviation (MAD)12
Skewness2.6975768
Sum13947.9
Variance901.24126
MonotonicityNot monotonic
2023-12-12T08:29:17.034945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139.2 3
 
2.4%
107.6 2
 
1.6%
276.9 2
 
1.6%
116.0 2
 
1.6%
113.8 2
 
1.6%
97.5 2
 
1.6%
104.1 2
 
1.6%
106.0 2
 
1.6%
157.2 2
 
1.6%
112.6 2
 
1.6%
Other values (103) 103
83.1%
ValueCountFrequency (%)
65.6 1
0.8%
67.3 1
0.8%
68.1 1
0.8%
68.6 1
0.8%
71.1 1
0.8%
71.2 1
0.8%
72.6 1
0.8%
72.8 1
0.8%
78.8 1
0.8%
81.1 1
0.8%
ValueCountFrequency (%)
276.9 2
1.6%
170.9 1
0.8%
157.2 2
1.6%
153.1 1
0.8%
150.0 1
0.8%
148.3 1
0.8%
146.1 1
0.8%
145.1 1
0.8%
141.3 1
0.8%
141.2 1
0.8%

생산지수(2017-06)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.14435
Minimum54.1
Maximum275.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:17.186531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.1
5-th percentile76.84
Q1100.85
median108.75
Q3124.975
95-th percentile147.43
Maximum275.5
Range221.4
Interquartile range (IQR)24.125

Descriptive statistics

Standard deviation30.170589
Coefficient of variation (CV)0.26431959
Kurtosis11.890409
Mean114.14435
Median Absolute Deviation (MAD)11.1
Skewness2.502698
Sum14153.9
Variance910.26444
MonotonicityNot monotonic
2023-12-12T08:29:17.321504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145.6 3
 
2.4%
101.0 3
 
2.4%
275.5 2
 
1.6%
117.8 2
 
1.6%
128.2 2
 
1.6%
102.8 2
 
1.6%
112.1 2
 
1.6%
108.1 2
 
1.6%
110.0 2
 
1.6%
103.8 2
 
1.6%
Other values (102) 102
82.3%
ValueCountFrequency (%)
54.1 1
0.8%
62.7 1
0.8%
63.7 1
0.8%
69.9 1
0.8%
74.3 1
0.8%
74.8 1
0.8%
76.6 1
0.8%
78.2 1
0.8%
78.8 1
0.8%
80.1 1
0.8%
ValueCountFrequency (%)
275.5 2
1.6%
176.2 1
 
0.8%
169.8 1
 
0.8%
164.3 1
 
0.8%
162.2 1
 
0.8%
147.7 1
 
0.8%
145.9 1
 
0.8%
145.8 1
 
0.8%
145.7 1
 
0.8%
145.6 3
2.4%

생산지수(2017-07)
Real number (ℝ)

Distinct109
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.45565
Minimum43.7
Maximum200.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:17.447823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.7
5-th percentile65.055
Q196.725
median105.8
Q3118.225
95-th percentile139.9
Maximum200.7
Range157
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation23.29555
Coefficient of variation (CV)0.21679224
Kurtosis3.668982
Mean107.45565
Median Absolute Deviation (MAD)10.35
Skewness0.72902109
Sum13324.5
Variance542.68265
MonotonicityNot monotonic
2023-12-12T08:29:17.594408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125.6 4
 
3.2%
108.0 3
 
2.4%
109.1 2
 
1.6%
200.7 2
 
1.6%
102.0 2
 
1.6%
99.1 2
 
1.6%
139.9 2
 
1.6%
97.2 2
 
1.6%
113.6 2
 
1.6%
125.7 2
 
1.6%
Other values (99) 101
81.5%
ValueCountFrequency (%)
43.7 1
0.8%
54.2 1
0.8%
54.7 1
0.8%
59.4 1
0.8%
63.4 1
0.8%
63.8 1
0.8%
64.5 1
0.8%
68.2 1
0.8%
76.5 1
0.8%
77.4 1
0.8%
ValueCountFrequency (%)
200.7 2
1.6%
163.9 1
0.8%
155.4 1
0.8%
147.1 1
0.8%
142.0 1
0.8%
139.9 2
1.6%
138.1 1
0.8%
136.7 1
0.8%
134.5 1
0.8%
134.4 1
0.8%

생산지수(2017-08)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.31129
Minimum29.1
Maximum200.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:17.735173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.1
5-th percentile70.68
Q191.025
median100.45
Q3120.375
95-th percentile142.945
Maximum200.8
Range171.7
Interquartile range (IQR)29.35

Descriptive statistics

Standard deviation25.979596
Coefficient of variation (CV)0.24905833
Kurtosis2.7468186
Mean104.31129
Median Absolute Deviation (MAD)14.35
Skewness0.70447698
Sum12934.6
Variance674.93938
MonotonicityNot monotonic
2023-12-12T08:29:17.855708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.2 4
 
3.2%
104.7 2
 
1.6%
91.9 2
 
1.6%
103.4 2
 
1.6%
96.2 2
 
1.6%
83.5 2
 
1.6%
122.9 2
 
1.6%
84.0 2
 
1.6%
93.9 2
 
1.6%
200.8 2
 
1.6%
Other values (100) 102
82.3%
ValueCountFrequency (%)
29.1 1
0.8%
42.2 1
0.8%
50.3 1
0.8%
50.7 1
0.8%
54.3 1
0.8%
63.9 1
0.8%
70.5 1
0.8%
71.7 1
0.8%
74.0 1
0.8%
74.1 1
0.8%
ValueCountFrequency (%)
200.8 2
1.6%
167.0 1
0.8%
166.9 1
0.8%
156.2 1
0.8%
151.5 1
0.8%
143.2 1
0.8%
141.5 1
0.8%
141.3 1
0.8%
139.9 1
0.8%
136.9 1
0.8%

생산지수(2017-09)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.73629
Minimum56.2
Maximum195.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:17.971787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.2
5-th percentile73.305
Q199.425
median108.35
Q3125.575
95-th percentile148.15
Maximum195.6
Range139.4
Interquartile range (IQR)26.15

Descriptive statistics

Standard deviation23.479236
Coefficient of variation (CV)0.2101308
Kurtosis1.9406476
Mean111.73629
Median Absolute Deviation (MAD)11.1
Skewness0.58477547
Sum13855.3
Variance551.27453
MonotonicityNot monotonic
2023-12-12T08:29:18.086509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130.8 4
 
3.2%
99.2 3
 
2.4%
107.8 2
 
1.6%
98.9 2
 
1.6%
163.5 2
 
1.6%
64.6 2
 
1.6%
111.8 2
 
1.6%
116.8 2
 
1.6%
103.2 2
 
1.6%
119.8 2
 
1.6%
Other values (97) 101
81.5%
ValueCountFrequency (%)
56.2 1
0.8%
56.6 1
0.8%
61.9 1
0.8%
64.6 2
1.6%
69.6 1
0.8%
72.6 1
0.8%
77.3 1
0.8%
81.8 1
0.8%
82.4 1
0.8%
82.6 1
0.8%
ValueCountFrequency (%)
195.6 2
1.6%
163.5 2
1.6%
156.9 1
0.8%
149.3 1
0.8%
148.3 1
0.8%
147.3 1
0.8%
146.1 1
0.8%
145.8 1
0.8%
144.8 1
0.8%
144.3 1
0.8%

생산지수(2017-10)
Real number (ℝ)

Distinct104
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.36129
Minimum46
Maximum167.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:18.221653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile69.215
Q185.1
median95.65
Q3108.125
95-th percentile140.69
Maximum167.3
Range121.3
Interquartile range (IQR)23.025

Descriptive statistics

Standard deviation21.511607
Coefficient of variation (CV)0.21869992
Kurtosis1.729524
Mean98.36129
Median Absolute Deviation (MAD)11.05
Skewness0.81828746
Sum12196.8
Variance462.74922
MonotonicityNot monotonic
2023-12-12T08:29:18.351038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.1 6
 
4.8%
79.9 3
 
2.4%
108.1 3
 
2.4%
107.4 2
 
1.6%
97.3 2
 
1.6%
84.7 2
 
1.6%
105.9 2
 
1.6%
85.2 2
 
1.6%
167.3 2
 
1.6%
86.8 2
 
1.6%
Other values (94) 98
79.0%
ValueCountFrequency (%)
46.0 1
0.8%
55.7 1
0.8%
56.1 1
0.8%
56.6 1
0.8%
59.7 1
0.8%
66.1 1
0.8%
69.2 1
0.8%
69.3 1
0.8%
72.4 1
0.8%
73.0 1
0.8%
ValueCountFrequency (%)
167.3 2
1.6%
164.3 1
0.8%
157.5 1
0.8%
142.0 1
0.8%
141.1 1
0.8%
140.9 1
0.8%
139.5 1
0.8%
134.1 1
0.8%
131.3 1
0.8%
131.1 1
0.8%

생산지수(2017-11)
Real number (ℝ)

Distinct106
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.0629
Minimum55.7
Maximum186.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:18.480671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.7
5-th percentile72.9
Q197.125
median106.55
Q3125.525
95-th percentile152.495
Maximum186.3
Range130.6
Interquartile range (IQR)28.4

Descriptive statistics

Standard deviation23.056475
Coefficient of variation (CV)0.20948453
Kurtosis1.2618776
Mean110.0629
Median Absolute Deviation (MAD)13.15
Skewness0.57402951
Sum13647.8
Variance531.60105
MonotonicityNot monotonic
2023-12-12T08:29:18.610020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1 4
 
3.2%
103.5 3
 
2.4%
64.6 2
 
1.6%
100.6 2
 
1.6%
96.2 2
 
1.6%
124.0 2
 
1.6%
119.6 2
 
1.6%
115.6 2
 
1.6%
101.2 2
 
1.6%
126.5 2
 
1.6%
Other values (96) 101
81.5%
ValueCountFrequency (%)
55.7 1
0.8%
61.6 1
0.8%
64.6 2
1.6%
65.7 1
0.8%
71.4 2
1.6%
81.4 1
0.8%
82.3 1
0.8%
82.9 1
0.8%
83.0 1
0.8%
83.6 2
1.6%
ValueCountFrequency (%)
186.3 2
1.6%
167.0 1
0.8%
159.1 1
0.8%
156.0 1
0.8%
152.8 1
0.8%
152.6 1
0.8%
151.9 1
0.8%
147.0 1
0.8%
146.9 1
0.8%
139.3 1
0.8%

생산지수(2017-12)
Real number (ℝ)

Distinct102
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.26935
Minimum53.3
Maximum215.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:18.727315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.3
5-th percentile75.505
Q190.525
median107.95
Q3122.175
95-th percentile146.73
Maximum215.4
Range162.1
Interquartile range (IQR)31.65

Descriptive statistics

Standard deviation26.342933
Coefficient of variation (CV)0.24108253
Kurtosis2.8295588
Mean109.26935
Median Absolute Deviation (MAD)16.25
Skewness1.0038751
Sum13549.4
Variance693.95011
MonotonicityNot monotonic
2023-12-12T08:29:18.849180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
144.9 4
 
3.2%
147.0 3
 
2.4%
86.5 2
 
1.6%
86.4 2
 
1.6%
114.8 2
 
1.6%
100.6 2
 
1.6%
65.2 2
 
1.6%
86.6 2
 
1.6%
88.1 2
 
1.6%
107.5 2
 
1.6%
Other values (92) 101
81.5%
ValueCountFrequency (%)
53.3 1
0.8%
54.7 1
0.8%
64.9 1
0.8%
65.2 2
1.6%
75.2 1
0.8%
75.4 1
0.8%
76.1 1
0.8%
76.9 1
0.8%
77.0 1
0.8%
79.1 1
0.8%
ValueCountFrequency (%)
215.4 2
1.6%
156.9 1
 
0.8%
150.6 1
 
0.8%
147.0 3
2.4%
145.2 1
 
0.8%
145.0 1
 
0.8%
144.9 4
3.2%
144.8 1
 
0.8%
144.1 1
 
0.8%
143.6 1
 
0.8%

생산지수(2018-01)
Real number (ℝ)

Distinct106
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.38468
Minimum35.6
Maximum190.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:19.003324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.6
5-th percentile67.4
Q189.75
median100.45
Q3118.65
95-th percentile141.065
Maximum190.7
Range155.1
Interquartile range (IQR)28.9

Descriptive statistics

Standard deviation24.115272
Coefficient of variation (CV)0.2310231
Kurtosis1.6680989
Mean104.38468
Median Absolute Deviation (MAD)13.05
Skewness0.58165267
Sum12943.7
Variance581.54635
MonotonicityNot monotonic
2023-12-12T08:29:19.166814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.1 3
 
2.4%
107.4 2
 
1.6%
90.8 2
 
1.6%
98.6 2
 
1.6%
145.9 2
 
1.6%
103.8 2
 
1.6%
110.5 2
 
1.6%
106.7 2
 
1.6%
110.0 2
 
1.6%
88.9 2
 
1.6%
Other values (96) 103
83.1%
ValueCountFrequency (%)
35.6 1
0.8%
57.5 1
0.8%
60.6 1
0.8%
61.2 1
0.8%
61.3 1
0.8%
65.6 1
0.8%
67.1 1
0.8%
69.1 1
0.8%
71.8 1
0.8%
76.9 1
0.8%
ValueCountFrequency (%)
190.7 2
1.6%
149.1 1
0.8%
145.9 2
1.6%
143.2 1
0.8%
141.2 1
0.8%
140.3 1
0.8%
137.8 1
0.8%
135.2 1
0.8%
133.8 1
0.8%
133.4 1
0.8%

생산지수(2018-02)
Real number (ℝ)

Distinct109
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.495968
Minimum43.8
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:19.316708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.8
5-th percentile60.165
Q176.575
median88.1
Q3106.325
95-th percentile127.285
Maximum168
Range124.2
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation23.148897
Coefficient of variation (CV)0.25026926
Kurtosis1.0048251
Mean92.495968
Median Absolute Deviation (MAD)13.4
Skewness0.68127685
Sum11469.5
Variance535.87145
MonotonicityNot monotonic
2023-12-12T08:29:19.447304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.7 3
 
2.4%
117.0 3
 
2.4%
96.5 2
 
1.6%
77.2 2
 
1.6%
83.6 2
 
1.6%
78.9 2
 
1.6%
63.2 2
 
1.6%
82.2 2
 
1.6%
85.4 2
 
1.6%
168.0 2
 
1.6%
Other values (99) 102
82.3%
ValueCountFrequency (%)
43.8 1
0.8%
48.7 1
0.8%
48.9 1
0.8%
49.4 1
0.8%
49.6 1
0.8%
56.2 1
0.8%
59.7 1
0.8%
62.8 1
0.8%
63.2 2
1.6%
64.7 1
0.8%
ValueCountFrequency (%)
168.0 2
1.6%
153.2 1
0.8%
153.1 1
0.8%
133.1 1
0.8%
128.1 1
0.8%
127.6 1
0.8%
125.5 1
0.8%
124.8 1
0.8%
123.4 1
0.8%
121.0 1
0.8%

생산지수(2018-03)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.58871
Minimum49.9
Maximum223.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:19.608533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.9
5-th percentile75.015
Q194.7
median106.25
Q3123.925
95-th percentile149.135
Maximum223.6
Range173.7
Interquartile range (IQR)29.225

Descriptive statistics

Standard deviation27.333455
Coefficient of variation (CV)0.24716316
Kurtosis3.5193165
Mean110.58871
Median Absolute Deviation (MAD)14.55
Skewness1.0746406
Sum13713
Variance747.11776
MonotonicityNot monotonic
2023-12-12T08:29:19.801814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.2 4
 
3.2%
99.5 2
 
1.6%
77.4 2
 
1.6%
165.8 2
 
1.6%
56.4 2
 
1.6%
112.7 2
 
1.6%
140.5 2
 
1.6%
106.3 2
 
1.6%
223.6 2
 
1.6%
104.1 2
 
1.6%
Other values (100) 102
82.3%
ValueCountFrequency (%)
49.9 1
0.8%
56.4 2
1.6%
57.8 1
0.8%
61.8 1
0.8%
68.3 1
0.8%
74.7 1
0.8%
76.8 1
0.8%
77.4 2
1.6%
78.9 1
0.8%
80.0 1
0.8%
ValueCountFrequency (%)
223.6 2
1.6%
165.8 2
1.6%
158.0 1
0.8%
152.7 1
0.8%
149.3 1
0.8%
148.2 1
0.8%
146.8 1
0.8%
144.5 1
0.8%
143.3 1
0.8%
140.6 1
0.8%

생산지수(2018-04)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.42258
Minimum50.9
Maximum196.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:20.351214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.9
5-th percentile73.965
Q191.475
median102.9
Q3123.125
95-th percentile143.84
Maximum196.3
Range145.4
Interquartile range (IQR)31.65

Descriptive statistics

Standard deviation25.066227
Coefficient of variation (CV)0.23334225
Kurtosis1.836263
Mean107.42258
Median Absolute Deviation (MAD)13.55
Skewness0.77803106
Sum13320.4
Variance628.31575
MonotonicityNot monotonic
2023-12-12T08:29:20.533218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.6 5
 
4.0%
100.3 3
 
2.4%
196.3 2
 
1.6%
172.2 2
 
1.6%
98.8 2
 
1.6%
132.3 2
 
1.6%
105.8 2
 
1.6%
99.1 2
 
1.6%
119.7 2
 
1.6%
111.1 2
 
1.6%
Other values (97) 100
80.6%
ValueCountFrequency (%)
50.9 1
0.8%
52.4 1
0.8%
57.6 1
0.8%
57.7 1
0.8%
66.3 1
0.8%
68.8 1
0.8%
73.8 1
0.8%
74.9 1
0.8%
75.1 1
0.8%
77.5 1
0.8%
ValueCountFrequency (%)
196.3 2
1.6%
172.2 2
1.6%
154.9 1
0.8%
148.0 1
0.8%
144.2 1
0.8%
141.8 1
0.8%
141.6 1
0.8%
136.1 1
0.8%
135.5 1
0.8%
135.2 1
0.8%

생산지수(2018-05)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.19758
Minimum48.9
Maximum183.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:20.696023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.9
5-th percentile74.535
Q193.65
median106.05
Q3125.225
95-th percentile145.39
Maximum183.2
Range134.3
Interquartile range (IQR)31.575

Descriptive statistics

Standard deviation24.096721
Coefficient of variation (CV)0.22067083
Kurtosis1.4001322
Mean109.19758
Median Absolute Deviation (MAD)13.55
Skewness0.58428759
Sum13540.5
Variance580.65195
MonotonicityNot monotonic
2023-12-12T08:29:20.866710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131.7 3
 
2.4%
107.7 3
 
2.4%
93.2 2
 
1.6%
97.9 2
 
1.6%
87.2 2
 
1.6%
117.6 2
 
1.6%
100.0 2
 
1.6%
101.0 2
 
1.6%
74.1 2
 
1.6%
101.1 2
 
1.6%
Other values (98) 102
82.3%
ValueCountFrequency (%)
48.9 1
0.8%
54.7 1
0.8%
57.5 1
0.8%
57.6 1
0.8%
72.2 1
0.8%
74.1 2
1.6%
77.0 1
0.8%
77.7 1
0.8%
78.5 1
0.8%
81.7 1
0.8%
ValueCountFrequency (%)
183.2 2
1.6%
180.5 1
0.8%
180.4 1
0.8%
149.8 1
0.8%
147.2 1
0.8%
145.9 1
0.8%
142.5 1
0.8%
141.7 1
0.8%
140.8 1
0.8%
139.5 1
0.8%

생산지수(2018-06)
Real number (ℝ)

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.27258
Minimum45.4
Maximum194.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:21.015990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.4
5-th percentile67.335
Q194.325
median104.55
Q3125
95-th percentile160.98
Maximum194.2
Range148.8
Interquartile range (IQR)30.675

Descriptive statistics

Standard deviation27.857592
Coefficient of variation (CV)0.25493671
Kurtosis1.5633611
Mean109.27258
Median Absolute Deviation (MAD)13.9
Skewness0.8563381
Sum13549.8
Variance776.04542
MonotonicityNot monotonic
2023-12-12T08:29:21.193980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.9 3
 
2.4%
129.6 3
 
2.4%
194.2 2
 
1.6%
96.2 2
 
1.6%
95.9 2
 
1.6%
100.1 2
 
1.6%
94.7 2
 
1.6%
184.9 2
 
1.6%
98.0 2
 
1.6%
91.5 2
 
1.6%
Other values (101) 102
82.3%
ValueCountFrequency (%)
45.4 1
0.8%
49.7 1
0.8%
60.3 1
0.8%
60.6 1
0.8%
66.2 1
0.8%
66.9 1
0.8%
67.2 1
0.8%
68.1 1
0.8%
70.0 1
0.8%
74.9 1
0.8%
ValueCountFrequency (%)
194.2 2
1.6%
191.5 1
0.8%
184.9 2
1.6%
178.8 1
0.8%
162.3 1
0.8%
153.5 1
0.8%
148.9 1
0.8%
145.8 1
0.8%
143.9 1
0.8%
142.9 1
0.8%

생산지수(2018-07)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.70161
Minimum46
Maximum182.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:21.374071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile65.89
Q190.275
median101.4
Q3117.3
95-th percentile160.9
Maximum182.7
Range136.7
Interquartile range (IQR)27.025

Descriptive statistics

Standard deviation26.223858
Coefficient of variation (CV)0.24809326
Kurtosis1.0155806
Mean105.70161
Median Absolute Deviation (MAD)13.25
Skewness0.78240526
Sum13107
Variance687.69073
MonotonicityNot monotonic
2023-12-12T08:29:21.574212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.3 5
 
4.0%
101.3 3
 
2.4%
117.6 2
 
1.6%
160.9 2
 
1.6%
182.7 2
 
1.6%
95.5 2
 
1.6%
94.2 2
 
1.6%
93.4 2
 
1.6%
102.0 2
 
1.6%
90.9 2
 
1.6%
Other values (97) 100
80.6%
ValueCountFrequency (%)
46.0 1
0.8%
50.0 1
0.8%
58.2 1
0.8%
58.3 1
0.8%
64.8 1
0.8%
65.0 1
0.8%
65.2 1
0.8%
69.8 1
0.8%
71.0 1
0.8%
75.0 1
0.8%
ValueCountFrequency (%)
182.7 2
1.6%
174.0 1
0.8%
171.3 1
0.8%
165.2 1
0.8%
164.0 1
0.8%
160.9 2
1.6%
155.5 1
0.8%
150.8 1
0.8%
150.7 1
0.8%
144.3 1
0.8%

생산지수(2018-08)
Real number (ℝ)

Distinct109
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.66935
Minimum32.5
Maximum321.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:21.767286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.5
5-th percentile62.615
Q188.15
median95.2
Q3110.075
95-th percentile152.815
Maximum321.2
Range288.7
Interquartile range (IQR)21.925

Descriptive statistics

Standard deviation37.213928
Coefficient of variation (CV)0.35896749
Kurtosis17.56577
Mean103.66935
Median Absolute Deviation (MAD)11.9
Skewness3.2953749
Sum12855
Variance1384.8765
MonotonicityNot monotonic
2023-12-12T08:29:21.927263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.1 4
 
3.2%
107.3 3
 
2.4%
89.6 2
 
1.6%
321.2 2
 
1.6%
91.3 2
 
1.6%
92.8 2
 
1.6%
87.3 2
 
1.6%
94.2 2
 
1.6%
92.9 2
 
1.6%
159.8 2
 
1.6%
Other values (99) 101
81.5%
ValueCountFrequency (%)
32.5 1
0.8%
44.6 1
0.8%
44.7 1
0.8%
52.6 1
0.8%
52.9 1
0.8%
59.6 1
0.8%
61.7 1
0.8%
67.8 1
0.8%
70.7 1
0.8%
70.9 1
0.8%
ValueCountFrequency (%)
321.2 2
1.6%
162.5 1
0.8%
160.2 1
0.8%
159.8 2
1.6%
153.1 1
0.8%
151.2 1
0.8%
150.7 1
0.8%
146.8 1
0.8%
146.3 1
0.8%
145.4 1
0.8%

생산지수(2018-09)
Real number (ℝ)

Distinct108
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.145968
Minimum45.1
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:22.086621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.1
5-th percentile59.975
Q183.5
median95.05
Q3110.025
95-th percentile150.32
Maximum179
Range133.9
Interquartile range (IQR)26.525

Descriptive statistics

Standard deviation26.529328
Coefficient of variation (CV)0.26757849
Kurtosis0.82035141
Mean99.145968
Median Absolute Deviation (MAD)12.25
Skewness0.81471347
Sum12294.1
Variance703.80527
MonotonicityNot monotonic
2023-12-12T08:29:22.291722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.5 4
 
3.2%
103.8 3
 
2.4%
77.6 3
 
2.4%
104.0 2
 
1.6%
161.7 2
 
1.6%
87.4 2
 
1.6%
96.3 2
 
1.6%
98.1 2
 
1.6%
179.0 2
 
1.6%
96.0 2
 
1.6%
Other values (98) 100
80.6%
ValueCountFrequency (%)
45.1 1
0.8%
47.7 1
0.8%
53.9 1
0.8%
54.1 1
0.8%
56.1 1
0.8%
56.5 1
0.8%
59.6 1
0.8%
62.1 1
0.8%
63.2 1
0.8%
66.3 1
0.8%
ValueCountFrequency (%)
179.0 2
1.6%
161.7 2
1.6%
161.2 1
0.8%
158.0 1
0.8%
150.5 1
0.8%
149.3 1
0.8%
147.9 1
0.8%
146.3 1
0.8%
145.6 1
0.8%
145.0 1
0.8%

생산지수(2018-10)
Real number (ℝ)

Distinct109
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.4
Minimum50.4
Maximum181.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:22.504531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.4
5-th percentile75.01
Q194.85
median106.25
Q3122.125
95-th percentile154.46
Maximum181.4
Range131
Interquartile range (IQR)27.275

Descriptive statistics

Standard deviation23.941966
Coefficient of variation (CV)0.22086684
Kurtosis0.55299611
Mean108.4
Median Absolute Deviation (MAD)12.45
Skewness0.49295048
Sum13441.6
Variance573.21772
MonotonicityNot monotonic
2023-12-12T08:29:22.688105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.6 3
 
2.4%
107.3 3
 
2.4%
140.4 2
 
1.6%
107.7 2
 
1.6%
86.2 2
 
1.6%
96.9 2
 
1.6%
100.8 2
 
1.6%
160.4 2
 
1.6%
102.1 2
 
1.6%
107.2 2
 
1.6%
Other values (99) 102
82.3%
ValueCountFrequency (%)
50.4 1
0.8%
52.9 1
0.8%
61.0 1
0.8%
61.2 1
0.8%
66.0 1
0.8%
69.3 1
0.8%
74.8 1
0.8%
76.2 1
0.8%
81.0 1
0.8%
81.8 1
0.8%
ValueCountFrequency (%)
181.4 1
0.8%
172.0 1
0.8%
160.4 2
1.6%
159.0 1
0.8%
155.8 1
0.8%
155.0 1
0.8%
151.4 1
0.8%
148.3 1
0.8%
147.0 1
0.8%
144.6 1
0.8%

생산지수(2018-11)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.82258
Minimum45.5
Maximum196.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:22.889474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.5
5-th percentile66.305
Q194.05
median106.95
Q3116.65
95-th percentile141.49
Maximum196.2
Range150.7
Interquartile range (IQR)22.6

Descriptive statistics

Standard deviation23.32456
Coefficient of variation (CV)0.21834859
Kurtosis2.8327277
Mean106.82258
Median Absolute Deviation (MAD)11.75
Skewness0.7339381
Sum13246
Variance544.0351
MonotonicityNot monotonic
2023-12-12T08:29:23.070559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.6 5
 
4.0%
103.6 3
 
2.4%
196.2 2
 
1.6%
105.3 2
 
1.6%
116.5 2
 
1.6%
89.2 2
 
1.6%
107.5 2
 
1.6%
126.4 2
 
1.6%
110.9 2
 
1.6%
93.3 2
 
1.6%
Other values (97) 100
80.6%
ValueCountFrequency (%)
45.5 1
0.8%
54.2 1
0.8%
60.2 1
0.8%
62.5 1
0.8%
63.3 1
0.8%
63.6 1
0.8%
65.0 1
0.8%
73.7 1
0.8%
74.5 1
0.8%
78.6 1
0.8%
ValueCountFrequency (%)
196.2 2
1.6%
163.1 1
0.8%
155.1 1
0.8%
147.5 1
0.8%
144.6 1
0.8%
141.7 1
0.8%
140.3 1
0.8%
139.4 1
0.8%
139.0 1
0.8%
136.0 1
0.8%

생산지수(2018-12)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.44435
Minimum34.4
Maximum216.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:23.239249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.4
5-th percentile69.875
Q190.475
median106.15
Q3121.125
95-th percentile149.8
Maximum216.6
Range182.2
Interquartile range (IQR)30.65

Descriptive statistics

Standard deviation26.681632
Coefficient of variation (CV)0.24832977
Kurtosis3.5731053
Mean107.44435
Median Absolute Deviation (MAD)15.05
Skewness0.95200626
Sum13323.1
Variance711.90948
MonotonicityNot monotonic
2023-12-12T08:29:23.366943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.1 4
 
3.2%
113.7 3
 
2.4%
121.2 3
 
2.4%
107.4 2
 
1.6%
153.4 2
 
1.6%
106.3 2
 
1.6%
101.3 2
 
1.6%
129.9 2
 
1.6%
216.6 2
 
1.6%
131.1 2
 
1.6%
Other values (97) 100
80.6%
ValueCountFrequency (%)
34.4 1
0.8%
51.3 1
0.8%
59.0 1
0.8%
59.7 1
0.8%
60.6 1
0.8%
69.3 1
0.8%
69.5 1
0.8%
72.0 1
0.8%
73.6 1
0.8%
75.6 1
0.8%
ValueCountFrequency (%)
216.6 2
1.6%
164.9 1
0.8%
161.1 1
0.8%
153.4 2
1.6%
151.0 1
0.8%
143.0 1
0.8%
138.4 1
0.8%
138.3 1
0.8%
138.1 1
0.8%
137.4 1
0.8%

생산지수(2019-01)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.4
Minimum48.5
Maximum228.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:23.508880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.5
5-th percentile66.695
Q190.1
median98.95
Q3111.525
95-th percentile133.185
Maximum228.4
Range179.9
Interquartile range (IQR)21.425

Descriptive statistics

Standard deviation24.790468
Coefficient of variation (CV)0.24448194
Kurtosis9.6931799
Mean101.4
Median Absolute Deviation (MAD)10.6
Skewness2.0733268
Sum12573.6
Variance614.56732
MonotonicityNot monotonic
2023-12-12T08:29:23.631862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.9 2
 
1.6%
111.6 2
 
1.6%
93.9 2
 
1.6%
94.1 2
 
1.6%
101.2 2
 
1.6%
124.8 2
 
1.6%
94.2 2
 
1.6%
98.7 2
 
1.6%
74.2 1
 
0.8%
123.9 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
48.5 1
0.8%
50.1 1
0.8%
57.3 1
0.8%
63.7 1
0.8%
63.9 1
0.8%
65.2 1
0.8%
66.2 1
0.8%
69.5 1
0.8%
70.7 1
0.8%
70.8 1
0.8%
ValueCountFrequency (%)
228.4 1
0.8%
226.6 1
0.8%
155.0 1
0.8%
151.7 1
0.8%
150.9 1
0.8%
135.3 1
0.8%
134.4 1
0.8%
126.3 1
0.8%
126.2 1
0.8%
125.3 1
0.8%

생산지수(2019-02)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.080645
Minimum42.4
Maximum206.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:23.755840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.4
5-th percentile54.51
Q175.3
median84.65
Q395.525
95-th percentile116.595
Maximum206.4
Range164
Interquartile range (IQR)20.225

Descriptive statistics

Standard deviation23.257214
Coefficient of variation (CV)0.26707673
Kurtosis10.030305
Mean87.080645
Median Absolute Deviation (MAD)10
Skewness2.2634765
Sum10798
Variance540.898
MonotonicityNot monotonic
2023-12-12T08:29:23.878484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.7 2
 
1.6%
104.9 2
 
1.6%
89.2 2
 
1.6%
91.0 2
 
1.6%
82.2 2
 
1.6%
82.4 2
 
1.6%
86.1 2
 
1.6%
83.0 2
 
1.6%
85.1 2
 
1.6%
75.4 2
 
1.6%
Other values (102) 104
83.9%
ValueCountFrequency (%)
42.4 1
0.8%
46.1 1
0.8%
52.7 1
0.8%
54.0 1
0.8%
54.1 1
0.8%
54.2 1
0.8%
54.3 1
0.8%
55.7 1
0.8%
56.1 1
0.8%
59.8 1
0.8%
ValueCountFrequency (%)
206.4 1
0.8%
204.9 1
0.8%
155.3 1
0.8%
137.9 1
0.8%
125.3 1
0.8%
123.0 1
0.8%
117.3 1
0.8%
112.6 1
0.8%
109.7 1
0.8%
106.6 1
0.8%

생산지수(2019-03)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.22742
Minimum50.8
Maximum273.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:23.997427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.8
5-th percentile73.605
Q192.2
median102.9
Q3113.525
95-th percentile134.165
Maximum273.9
Range223.1
Interquartile range (IQR)21.325

Descriptive statistics

Standard deviation28.746524
Coefficient of variation (CV)0.27061303
Kurtosis17.227168
Mean106.22742
Median Absolute Deviation (MAD)10.7
Skewness3.2269701
Sum13172.2
Variance826.36266
MonotonicityNot monotonic
2023-12-12T08:29:24.124255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.8 2
 
1.6%
124.9 2
 
1.6%
101.6 2
 
1.6%
101.5 2
 
1.6%
92.2 2
 
1.6%
106.0 2
 
1.6%
108.3 2
 
1.6%
123.3 2
 
1.6%
117.7 2
 
1.6%
105.9 2
 
1.6%
Other values (102) 104
83.9%
ValueCountFrequency (%)
50.8 1
0.8%
57.7 1
0.8%
66.3 1
0.8%
66.4 1
0.8%
66.5 1
0.8%
67.5 1
0.8%
73.5 1
0.8%
74.2 1
0.8%
74.8 1
0.8%
76.3 1
0.8%
ValueCountFrequency (%)
273.9 1
0.8%
271.9 1
0.8%
178.6 1
0.8%
166.3 1
0.8%
144.7 1
0.8%
136.6 1
0.8%
134.6 1
0.8%
131.7 1
0.8%
131.5 1
0.8%
131.3 1
0.8%

생산지수(2019-04)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.36774
Minimum45.7
Maximum310.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:24.239090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.7
5-th percentile74.695
Q191.675
median102.75
Q3113.75
95-th percentile140.835
Maximum310.8
Range265.1
Interquartile range (IQR)22.075

Descriptive statistics

Standard deviation32.668892
Coefficient of variation (CV)0.30713158
Kurtosis23.261347
Mean106.36774
Median Absolute Deviation (MAD)11.1
Skewness4.032916
Sum13189.6
Variance1067.2565
MonotonicityNot monotonic
2023-12-12T08:29:24.358876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.9 3
 
2.4%
95.5 2
 
1.6%
104.3 2
 
1.6%
95.0 2
 
1.6%
116.5 2
 
1.6%
97.5 2
 
1.6%
101.6 2
 
1.6%
93.5 2
 
1.6%
82.6 2
 
1.6%
114.2 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
45.7 1
0.8%
60.5 1
0.8%
65.2 1
0.8%
67.7 1
0.8%
69.4 1
0.8%
69.5 1
0.8%
74.5 1
0.8%
75.8 1
0.8%
78.3 1
0.8%
81.0 1
0.8%
ValueCountFrequency (%)
310.8 1
0.8%
308.4 1
0.8%
190.6 1
0.8%
154.3 1
0.8%
148.7 1
0.8%
146.6 1
0.8%
141.0 1
0.8%
139.9 1
0.8%
137.0 1
0.8%
136.4 1
0.8%

생산지수(2019-05)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.35081
Minimum43.8
Maximum218.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:24.757243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.8
5-th percentile70.88
Q193.05
median103.75
Q3115.675
95-th percentile142.49
Maximum218.4
Range174.6
Interquartile range (IQR)22.625

Descriptive statistics

Standard deviation25.710586
Coefficient of variation (CV)0.24175262
Kurtosis6.5651711
Mean106.35081
Median Absolute Deviation (MAD)11.3
Skewness1.7563028
Sum13187.5
Variance661.03423
MonotonicityNot monotonic
2023-12-12T08:29:24.886554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.8 3
 
2.4%
103.3 2
 
1.6%
130.9 2
 
1.6%
108.6 2
 
1.6%
101.7 2
 
1.6%
104.8 1
 
0.8%
212.2 1
 
0.8%
106.2 1
 
0.8%
43.8 1
 
0.8%
63.5 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
43.8 1
0.8%
61.4 1
0.8%
63.5 1
0.8%
66.6 1
0.8%
68.5 1
0.8%
70.5 1
0.8%
70.7 1
0.8%
71.9 1
0.8%
75.4 1
0.8%
76.7 1
0.8%
ValueCountFrequency (%)
218.4 1
0.8%
216.6 1
0.8%
212.2 1
0.8%
158.7 1
0.8%
157.0 1
0.8%
146.1 1
0.8%
143.3 1
0.8%
137.9 1
0.8%
136.6 1
0.8%
135.8 1
0.8%

생산지수(2019-06)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.08468
Minimum38.9
Maximum247.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:25.012390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.9
5-th percentile67.175
Q188.775
median99.4
Q3110
95-th percentile133.74
Maximum247.7
Range208.8
Interquartile range (IQR)21.225

Descriptive statistics

Standard deviation27.317355
Coefficient of variation (CV)0.26759506
Kurtosis8.2082165
Mean102.08468
Median Absolute Deviation (MAD)10.6
Skewness2.0036815
Sum12658.5
Variance746.23789
MonotonicityNot monotonic
2023-12-12T08:29:25.133562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.5 2
 
1.6%
104.5 2
 
1.6%
86.0 2
 
1.6%
124.6 2
 
1.6%
99.3 2
 
1.6%
75.9 2
 
1.6%
110.0 2
 
1.6%
109.7 1
 
0.8%
154.6 1
 
0.8%
38.9 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
38.9 1
0.8%
51.7 1
0.8%
57.6 1
0.8%
58.5 1
0.8%
61.5 1
0.8%
66.6 1
0.8%
67.1 1
0.8%
67.6 1
0.8%
71.9 1
0.8%
74.6 1
0.8%
ValueCountFrequency (%)
247.7 1
0.8%
201.9 1
0.8%
200.3 1
0.8%
167.6 1
0.8%
167.2 1
0.8%
154.6 1
0.8%
133.8 1
0.8%
133.4 1
0.8%
132.6 1
0.8%
130.9 1
0.8%

생산지수(2019-07)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.55
Minimum27.5
Maximum262.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:25.261893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.5
5-th percentile65.21
Q192.875
median101.2
Q3113.1
95-th percentile155.22
Maximum262.6
Range235.1
Interquartile range (IQR)20.225

Descriptive statistics

Standard deviation32.148905
Coefficient of variation (CV)0.30458461
Kurtosis9.6445091
Mean105.55
Median Absolute Deviation (MAD)11.5
Skewness2.3427141
Sum13088.2
Variance1033.5521
MonotonicityNot monotonic
2023-12-12T08:29:25.378270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.2 4
 
3.2%
98.7 3
 
2.4%
107.8 3
 
2.4%
113.1 2
 
1.6%
112.6 2
 
1.6%
92.8 2
 
1.6%
96.5 2
 
1.6%
93.5 1
 
0.8%
93.0 1
 
0.8%
62.0 1
 
0.8%
Other values (103) 103
83.1%
ValueCountFrequency (%)
27.5 1
0.8%
42.5 1
0.8%
60.0 1
0.8%
62.0 1
0.8%
62.3 1
0.8%
63.9 1
0.8%
64.4 1
0.8%
69.8 1
0.8%
73.7 1
0.8%
74.1 1
0.8%
ValueCountFrequency (%)
262.6 1
0.8%
249.5 1
0.8%
247.6 1
0.8%
175.9 1
0.8%
170.2 1
0.8%
157.2 1
0.8%
156.0 1
0.8%
150.8 1
0.8%
145.0 1
0.8%
139.2 1
0.8%

생산지수(2019-08)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.645161
Minimum21
Maximum297.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:25.490834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile62.23
Q182.95
median92.75
Q3105.35
95-th percentile157.53
Maximum297.1
Range276.1
Interquartile range (IQR)22.4

Descriptive statistics

Standard deviation37.140571
Coefficient of variation (CV)0.37650677
Kurtosis14.008762
Mean98.645161
Median Absolute Deviation (MAD)11.2
Skewness3.1289547
Sum12232
Variance1379.422
MonotonicityNot monotonic
2023-12-12T08:29:25.627693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.9 2
 
1.6%
98.4 2
 
1.6%
92.5 2
 
1.6%
84.8 2
 
1.6%
79.3 2
 
1.6%
83.6 2
 
1.6%
88.9 2
 
1.6%
116.6 2
 
1.6%
113.9 2
 
1.6%
95.2 2
 
1.6%
Other values (103) 104
83.9%
ValueCountFrequency (%)
21.0 1
0.8%
40.3 1
0.8%
52.2 1
0.8%
54.1 1
0.8%
55.4 1
0.8%
60.6 1
0.8%
62.2 1
0.8%
62.4 1
0.8%
63.5 1
0.8%
65.7 1
0.8%
ValueCountFrequency (%)
297.1 1
0.8%
294.6 1
0.8%
254.1 1
0.8%
179.8 1
0.8%
174.1 1
0.8%
168.8 1
0.8%
161.4 1
0.8%
135.6 1
0.8%
133.4 1
0.8%
131.0 1
0.8%

생산지수(2019-09)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.670161
Minimum41.3
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:25.761003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.3
5-th percentile67.43
Q184.35
median96.25
Q3107.025
95-th percentile163.685
Maximum267
Range225.7
Interquartile range (IQR)22.675

Descriptive statistics

Standard deviation29.547979
Coefficient of variation (CV)0.29645763
Kurtosis8.8605948
Mean99.670161
Median Absolute Deviation (MAD)11.8
Skewness2.2533519
Sum12359.1
Variance873.08309
MonotonicityNot monotonic
2023-12-12T08:29:25.904587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.7 2
 
1.6%
90.0 2
 
1.6%
73.5 2
 
1.6%
74.1 2
 
1.6%
104.0 2
 
1.6%
97.5 2
 
1.6%
113.9 2
 
1.6%
96.4 2
 
1.6%
108.9 1
 
0.8%
71.8 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
41.3 1
0.8%
52.8 1
0.8%
57.4 1
0.8%
58.6 1
0.8%
63.6 1
0.8%
64.6 1
0.8%
67.4 1
0.8%
67.6 1
0.8%
67.7 1
0.8%
67.9 1
0.8%
ValueCountFrequency (%)
267.0 1
0.8%
191.0 1
0.8%
178.6 1
0.8%
177.2 1
0.8%
177.0 1
0.8%
170.3 1
0.8%
165.5 1
0.8%
153.4 1
0.8%
151.8 1
0.8%
133.5 1
0.8%

생산지수(2019-10)
Real number (ℝ)

Distinct107
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.89919
Minimum43.8
Maximum383.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:26.031652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.8
5-th percentile72.93
Q190.925
median100.65
Q3112.55
95-th percentile167.5
Maximum383.5
Range339.7
Interquartile range (IQR)21.625

Descriptive statistics

Standard deviation44.929157
Coefficient of variation (CV)0.41257567
Kurtosis22.903526
Mean108.89919
Median Absolute Deviation (MAD)9.95
Skewness4.3062043
Sum13503.5
Variance2018.6292
MonotonicityNot monotonic
2023-12-12T08:29:26.243344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.7 4
 
3.2%
98.7 3
 
2.4%
92.6 3
 
2.4%
103.9 2
 
1.6%
107.6 2
 
1.6%
117.9 2
 
1.6%
121.1 2
 
1.6%
108.6 2
 
1.6%
97.8 2
 
1.6%
97.7 2
 
1.6%
Other values (97) 100
80.6%
ValueCountFrequency (%)
43.8 1
0.8%
61.3 1
0.8%
63.4 1
0.8%
65.4 1
0.8%
65.6 1
0.8%
70.8 1
0.8%
72.9 1
0.8%
73.1 1
0.8%
73.3 1
0.8%
75.3 1
0.8%
ValueCountFrequency (%)
383.5 1
0.8%
380.7 1
0.8%
290.1 1
0.8%
196.0 1
0.8%
182.3 1
0.8%
174.6 1
0.8%
171.4 1
0.8%
145.4 1
0.8%
143.2 1
0.8%
142.6 1
0.8%

생산지수(2019-11)
Real number (ℝ)

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.36371
Minimum39.5
Maximum317.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:26.440476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.5
5-th percentile71.7
Q191.3
median99.9
Q3111.625
95-th percentile142.645
Maximum317.4
Range277.9
Interquartile range (IQR)20.325

Descriptive statistics

Standard deviation31.674684
Coefficient of variation (CV)0.30062233
Kurtosis16.944812
Mean105.36371
Median Absolute Deviation (MAD)10.3
Skewness3.1139463
Sum13065.1
Variance1003.2856
MonotonicityNot monotonic
2023-12-12T08:29:26.601736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.5 3
 
2.4%
98.2 3
 
2.4%
96.3 3
 
2.4%
111.0 2
 
1.6%
94.4 2
 
1.6%
99.0 2
 
1.6%
71.7 2
 
1.6%
71.9 2
 
1.6%
102.5 2
 
1.6%
104.6 2
 
1.6%
Other values (100) 101
81.5%
ValueCountFrequency (%)
39.5 1
0.8%
57.0 1
0.8%
61.1 1
0.8%
64.7 1
0.8%
65.0 1
0.8%
69.5 1
0.8%
71.7 2
1.6%
71.9 2
1.6%
73.6 1
0.8%
75.4 1
0.8%
ValueCountFrequency (%)
317.4 1
0.8%
200.9 1
0.8%
199.3 1
0.8%
197.6 1
0.8%
177.7 1
0.8%
175.1 1
0.8%
142.9 1
0.8%
141.2 1
0.8%
136.6 1
0.8%
133.4 1
0.8%

생산지수(2019-12)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.99194
Minimum34.9
Maximum465.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:26.766509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.9
5-th percentile73.06
Q190.425
median107.3
Q3128.25
95-th percentile188.81
Maximum465.6
Range430.7
Interquartile range (IQR)37.825

Descriptive statistics

Standard deviation56.519929
Coefficient of variation (CV)0.47901519
Kurtosis22.446571
Mean117.99194
Median Absolute Deviation (MAD)19.5
Skewness4.1354612
Sum14631
Variance3194.5024
MonotonicityNot monotonic
2023-12-12T08:29:26.901283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118.1 2
 
1.6%
117.7 2
 
1.6%
199.9 2
 
1.6%
97.1 2
 
1.6%
77.2 2
 
1.6%
84.5 2
 
1.6%
77.6 2
 
1.6%
104.9 2
 
1.6%
138.7 2
 
1.6%
110.8 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
34.9 1
0.8%
52.3 1
0.8%
56.5 1
0.8%
58.5 1
0.8%
67.0 1
0.8%
70.0 1
0.8%
72.7 1
0.8%
75.1 1
0.8%
77.2 2
1.6%
77.3 1
0.8%
ValueCountFrequency (%)
465.6 1
0.8%
462.0 1
0.8%
316.4 1
0.8%
199.9 2
1.6%
194.8 1
0.8%
189.8 1
0.8%
183.2 1
0.8%
177.0 1
0.8%
171.1 1
0.8%
157.2 1
0.8%

생산지수(2020-01)
Real number (ℝ)

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.558871
Minimum43.2
Maximum298.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:27.031954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.2
5-th percentile55.215
Q179.375
median92.25
Q3101.025
95-th percentile135.92
Maximum298.3
Range255.1
Interquartile range (IQR)21.65

Descriptive statistics

Standard deviation31.581197
Coefficient of variation (CV)0.3339845
Kurtosis15.104158
Mean94.558871
Median Absolute Deviation (MAD)11.2
Skewness2.9432653
Sum11725.3
Variance997.37203
MonotonicityNot monotonic
2023-12-12T08:29:27.169622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.8 2
 
1.6%
115.2 2
 
1.6%
99.4 2
 
1.6%
96.7 2
 
1.6%
86.8 2
 
1.6%
97.2 2
 
1.6%
116.6 2
 
1.6%
97.4 2
 
1.6%
90.0 2
 
1.6%
92.6 2
 
1.6%
Other values (102) 104
83.9%
ValueCountFrequency (%)
43.2 1
0.8%
44.8 1
0.8%
47.0 1
0.8%
49.2 1
0.8%
49.3 1
0.8%
52.6 1
0.8%
54.3 1
0.8%
60.4 1
0.8%
61.7 1
0.8%
62.8 1
0.8%
ValueCountFrequency (%)
298.3 1
0.8%
201.8 1
0.8%
198.8 1
0.8%
179.8 1
0.8%
166.0 1
0.8%
155.6 1
0.8%
136.1 1
0.8%
134.9 1
0.8%
122.0 1
0.8%
119.6 1
0.8%

생산지수(2020-02)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.76129
Minimum40.4
Maximum287.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:27.308039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.4
5-th percentile63.045
Q177.35
median94.3
Q3106.8
95-th percentile137.755
Maximum287.7
Range247.3
Interquartile range (IQR)29.45

Descriptive statistics

Standard deviation33.953032
Coefficient of variation (CV)0.35089479
Kurtosis13.528403
Mean96.76129
Median Absolute Deviation (MAD)15.35
Skewness3.0211028
Sum11998.4
Variance1152.8084
MonotonicityNot monotonic
2023-12-12T08:29:27.521520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.6 3
 
2.4%
91.5 3
 
2.4%
99.1 2
 
1.6%
99.2 2
 
1.6%
69.2 2
 
1.6%
63.3 2
 
1.6%
91.3 2
 
1.6%
118.0 2
 
1.6%
84.5 1
 
0.8%
117.3 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
40.4 1
0.8%
50.3 1
0.8%
51.9 1
0.8%
53.1 1
0.8%
54.9 1
0.8%
55.5 1
0.8%
63.0 1
0.8%
63.3 2
1.6%
63.5 1
0.8%
64.2 1
0.8%
ValueCountFrequency (%)
287.7 1
0.8%
253.4 1
0.8%
249.5 1
0.8%
172.7 1
0.8%
157.9 1
0.8%
154.2 1
0.8%
139.3 1
0.8%
129.0 1
0.8%
123.3 1
0.8%
119.9 1
0.8%

생산지수(2020-03)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.075
Minimum50.4
Maximum314.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:27.705702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.4
5-th percentile66.55
Q191.1
median108.65
Q3123.175
95-th percentile173.73
Maximum314.4
Range264
Interquartile range (IQR)32.075

Descriptive statistics

Standard deviation38.624359
Coefficient of variation (CV)0.34462957
Kurtosis10.604657
Mean112.075
Median Absolute Deviation (MAD)15.85
Skewness2.6156764
Sum13897.3
Variance1491.8411
MonotonicityNot monotonic
2023-12-12T08:29:27.858766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.9 2
 
1.6%
112.4 2
 
1.6%
125.2 2
 
1.6%
103.2 2
 
1.6%
88.7 2
 
1.6%
102.3 2
 
1.6%
160.3 2
 
1.6%
94.4 2
 
1.6%
129.3 1
 
0.8%
103.0 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
50.4 1
0.8%
56.1 1
0.8%
57.0 1
0.8%
57.2 1
0.8%
61.1 1
0.8%
66.0 1
0.8%
66.1 1
0.8%
69.1 1
0.8%
70.3 1
0.8%
70.6 1
0.8%
ValueCountFrequency (%)
314.4 1
0.8%
283.8 1
0.8%
279.5 1
0.8%
202.8 1
0.8%
182.4 1
0.8%
179.6 1
0.8%
176.1 1
0.8%
160.3 2
1.6%
150.7 1
0.8%
150.4 1
0.8%

생산지수(2020-04)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.90403
Minimum39.6
Maximum252.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:28.037699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.6
5-th percentile56.255
Q178.95
median97.75
Q3114.2
95-th percentile160.29
Maximum252.5
Range212.9
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation35.004774
Coefficient of variation (CV)0.34691155
Kurtosis5.6856854
Mean100.90403
Median Absolute Deviation (MAD)18.35
Skewness1.8183897
Sum12512.1
Variance1225.3342
MonotonicityNot monotonic
2023-12-12T08:29:28.210683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.2 2
 
1.6%
175.9 2
 
1.6%
142.9 2
 
1.6%
98.1 2
 
1.6%
106.5 2
 
1.6%
100.8 2
 
1.6%
96.6 2
 
1.6%
110.0 2
 
1.6%
91.8 2
 
1.6%
102.3 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
39.6 1
0.8%
45.3 1
0.8%
46.5 1
0.8%
51.2 1
0.8%
53.7 1
0.8%
53.9 1
0.8%
56.0 1
0.8%
57.7 1
0.8%
61.4 1
0.8%
61.6 1
0.8%
ValueCountFrequency (%)
252.5 1
0.8%
248.7 1
0.8%
235.7 1
0.8%
175.9 2
1.6%
166.5 1
0.8%
160.8 1
0.8%
157.4 1
0.8%
148.0 1
0.8%
145.7 1
0.8%
142.9 2
1.6%

생산지수(2020-05)
Real number (ℝ)

Distinct119
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.523387
Minimum31.5
Maximum283.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:28.349781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.5
5-th percentile48.065
Q169.925
median88.35
Q3104.3
95-th percentile156.745
Maximum283.9
Range252.4
Interquartile range (IQR)34.375

Descriptive statistics

Standard deviation33.388723
Coefficient of variation (CV)0.36481084
Kurtosis8.6545061
Mean91.523387
Median Absolute Deviation (MAD)18
Skewness2.0427672
Sum11348.9
Variance1114.8068
MonotonicityNot monotonic
2023-12-12T08:29:28.507096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.3 2
 
1.6%
94.7 2
 
1.6%
148.5 2
 
1.6%
59.3 2
 
1.6%
108.3 2
 
1.6%
99.4 1
 
0.8%
63.3 1
 
0.8%
169.3 1
 
0.8%
86.4 1
 
0.8%
110.6 1
 
0.8%
Other values (109) 109
87.9%
ValueCountFrequency (%)
31.5 1
0.8%
41.9 1
0.8%
43.5 1
0.8%
44.1 1
0.8%
45.0 1
0.8%
47.4 1
0.8%
47.6 1
0.8%
50.7 1
0.8%
51.3 1
0.8%
52.5 1
0.8%
ValueCountFrequency (%)
283.9 1
0.8%
177.6 1
0.8%
176.8 1
0.8%
175.0 1
0.8%
169.3 1
0.8%
162.3 1
0.8%
158.2 1
0.8%
148.5 2
1.6%
146.8 1
0.8%
126.4 1
0.8%

생산지수(2020-06)
Real number (ℝ)

Distinct120
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.87016
Minimum36.8
Maximum313.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:28.657010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.8
5-th percentile53.05
Q176.375
median97.25
Q3116.6
95-th percentile154.555
Maximum313.7
Range276.9
Interquartile range (IQR)40.225

Descriptive statistics

Standard deviation42.794493
Coefficient of variation (CV)0.42008859
Kurtosis9.3675737
Mean101.87016
Median Absolute Deviation (MAD)20.3
Skewness2.4442015
Sum12631.9
Variance1831.3686
MonotonicityNot monotonic
2023-12-12T08:29:29.129144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.9 2
 
1.6%
85.6 2
 
1.6%
154.2 2
 
1.6%
80.6 2
 
1.6%
106.9 1
 
0.8%
113.6 1
 
0.8%
175.9 1
 
0.8%
38.0 1
 
0.8%
60.2 1
 
0.8%
48.6 1
 
0.8%
Other values (110) 110
88.7%
ValueCountFrequency (%)
36.8 1
0.8%
38.0 1
0.8%
45.0 1
0.8%
46.8 1
0.8%
48.6 1
0.8%
50.1 1
0.8%
52.3 1
0.8%
57.3 1
0.8%
60.2 1
0.8%
60.5 1
0.8%
ValueCountFrequency (%)
313.7 1
0.8%
293.3 1
0.8%
289.0 1
0.8%
194.5 1
0.8%
180.6 1
0.8%
175.9 1
0.8%
154.6 1
0.8%
154.3 1
0.8%
154.2 2
1.6%
141.9 1
0.8%

생산지수(2020-07)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.72823
Minimum44.3
Maximum291.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:29.321716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.3
5-th percentile55.66
Q181.225
median97.7
Q3119.15
95-th percentile174.6
Maximum291.3
Range247
Interquartile range (IQR)37.925

Descriptive statistics

Standard deviation41.598404
Coefficient of variation (CV)0.39344654
Kurtosis5.7341831
Mean105.72823
Median Absolute Deviation (MAD)17.7
Skewness1.9856726
Sum13110.3
Variance1730.4272
MonotonicityNot monotonic
2023-12-12T08:29:29.491397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.0 2
 
1.6%
55.6 2
 
1.6%
98.7 2
 
1.6%
117.1 2
 
1.6%
104.4 2
 
1.6%
97.7 2
 
1.6%
174.6 2
 
1.6%
120.6 2
 
1.6%
89.3 2
 
1.6%
154.9 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
44.3 1
0.8%
47.4 1
0.8%
49.8 1
0.8%
52.6 1
0.8%
53.5 1
0.8%
55.6 2
1.6%
56.0 1
0.8%
57.0 1
0.8%
57.8 1
0.8%
59.2 1
0.8%
ValueCountFrequency (%)
291.3 1
0.8%
264.8 1
0.8%
264.3 1
0.8%
226.9 1
0.8%
220.2 1
0.8%
181.3 1
0.8%
174.6 2
1.6%
170.0 1
0.8%
163.0 1
0.8%
154.9 1
0.8%

생산지수(2020-08)
Real number (ℝ)

Distinct120
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.560484
Minimum42.6
Maximum338.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:29.670075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.6
5-th percentile46.92
Q172.45
median87.4
Q3109.675
95-th percentile184.61
Maximum338.2
Range295.6
Interquartile range (IQR)37.225

Descriptive statistics

Standard deviation49.032576
Coefficient of variation (CV)0.49748716
Kurtosis9.1262173
Mean98.560484
Median Absolute Deviation (MAD)18.5
Skewness2.6342077
Sum12221.5
Variance2404.1935
MonotonicityNot monotonic
2023-12-12T08:29:29.863147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.6 3
 
2.4%
155.7 2
 
1.6%
92.6 2
 
1.6%
109.3 1
 
0.8%
338.2 1
 
0.8%
113.0 1
 
0.8%
167.5 1
 
0.8%
42.6 1
 
0.8%
70.2 1
 
0.8%
92.0 1
 
0.8%
Other values (110) 110
88.7%
ValueCountFrequency (%)
42.6 1
0.8%
43.6 1
0.8%
44.0 1
0.8%
44.7 1
0.8%
44.8 1
0.8%
45.1 1
0.8%
46.2 1
0.8%
51.0 1
0.8%
52.0 1
0.8%
52.2 1
0.8%
ValueCountFrequency (%)
338.2 1
0.8%
316.9 1
0.8%
308.4 1
0.8%
213.0 1
0.8%
208.7 1
0.8%
201.9 1
0.8%
185.0 1
0.8%
182.4 1
0.8%
176.7 1
0.8%
167.5 1
0.8%

생산지수(2020-09)
Real number (ℝ)

Distinct119
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.01532
Minimum34.7
Maximum411.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:30.026986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.7
5-th percentile58.015
Q188.2
median104.45
Q3123.775
95-th percentile195.37
Maximum411.7
Range377
Interquartile range (IQR)35.575

Descriptive statistics

Standard deviation49.079016
Coefficient of variation (CV)0.43814555
Kurtosis12.300224
Mean112.01532
Median Absolute Deviation (MAD)18.55
Skewness2.7669539
Sum13889.9
Variance2408.7498
MonotonicityNot monotonic
2023-12-12T08:29:30.169629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.8 2
 
1.6%
88.3 2
 
1.6%
88.2 2
 
1.6%
115.4 2
 
1.6%
155.3 2
 
1.6%
34.7 1
 
0.8%
121.9 1
 
0.8%
70.4 1
 
0.8%
62.8 1
 
0.8%
152.5 1
 
0.8%
Other values (109) 109
87.9%
ValueCountFrequency (%)
34.7 1
0.8%
52.6 1
0.8%
52.7 1
0.8%
53.7 1
0.8%
54.8 1
0.8%
57.1 1
0.8%
57.7 1
0.8%
59.8 1
0.8%
60.2 1
0.8%
62.1 1
0.8%
ValueCountFrequency (%)
411.7 1
0.8%
276.3 1
0.8%
274.1 1
0.8%
236.2 1
0.8%
235.9 1
0.8%
230.5 1
0.8%
196.3 1
0.8%
190.1 1
0.8%
164.3 1
0.8%
157.0 1
0.8%

생산지수(2020-10)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.86774
Minimum35.6
Maximum393.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:30.337720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.6
5-th percentile55.29
Q186.775
median99.6
Q3116.475
95-th percentile162.665
Maximum393.3
Range357.7
Interquartile range (IQR)29.7

Descriptive statistics

Standard deviation40.277629
Coefficient of variation (CV)0.38408026
Kurtosis21.124542
Mean104.86774
Median Absolute Deviation (MAD)16.05
Skewness3.3501481
Sum13003.6
Variance1622.2874
MonotonicityNot monotonic
2023-12-12T08:29:30.484683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.5 3
 
2.4%
103.9 3
 
2.4%
83.3 2
 
1.6%
132.8 2
 
1.6%
93.9 2
 
1.6%
113.4 2
 
1.6%
83.4 2
 
1.6%
97.1 2
 
1.6%
95.5 2
 
1.6%
160.2 1
 
0.8%
Other values (103) 103
83.1%
ValueCountFrequency (%)
35.6 1
0.8%
47.3 1
0.8%
49.2 1
0.8%
50.5 1
0.8%
51.9 1
0.8%
53.6 1
0.8%
54.9 1
0.8%
57.5 1
0.8%
59.1 1
0.8%
60.9 1
0.8%
ValueCountFrequency (%)
393.3 1
0.8%
224.6 1
0.8%
200.6 1
0.8%
181.9 1
0.8%
181.3 1
0.8%
179.7 1
0.8%
163.1 1
0.8%
160.2 1
0.8%
148.8 1
0.8%
142.5 1
0.8%

생산지수(2020-11)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.31532
Minimum25.1
Maximum417.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:30.616073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.1
5-th percentile59.74
Q190.9
median105
Q3126.25
95-th percentile186.105
Maximum417.8
Range392.7
Interquartile range (IQR)35.35

Descriptive statistics

Standard deviation50.130814
Coefficient of variation (CV)0.44240102
Kurtosis14.251066
Mean113.31532
Median Absolute Deviation (MAD)18.55
Skewness3.0419257
Sum14051.1
Variance2513.0985
MonotonicityNot monotonic
2023-12-12T08:29:30.750863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.7 2
 
1.6%
73.8 2
 
1.6%
111.9 2
 
1.6%
96.1 2
 
1.6%
102.6 2
 
1.6%
117.7 2
 
1.6%
144.8 2
 
1.6%
136.5 1
 
0.8%
150.6 1
 
0.8%
126.2 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
25.1 1
0.8%
50.0 1
0.8%
52.5 1
0.8%
53.5 1
0.8%
54.1 1
0.8%
56.8 1
0.8%
59.5 1
0.8%
61.1 1
0.8%
61.8 1
0.8%
64.5 1
0.8%
ValueCountFrequency (%)
417.8 1
0.8%
321.2 1
0.8%
319.2 1
0.8%
233.5 1
0.8%
188.0 1
0.8%
187.2 1
0.8%
186.3 1
0.8%
185.0 1
0.8%
169.9 1
0.8%
158.3 1
0.8%

생산지수(2020-12)
Real number (ℝ)

Distinct122
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.51371
Minimum21.8
Maximum521.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:30.892331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.8
5-th percentile62.635
Q189.05
median112.7
Q3136.05
95-th percentile196.275
Maximum521.7
Range499.9
Interquartile range (IQR)47

Descriptive statistics

Standard deviation56.568553
Coefficient of variation (CV)0.46939517
Kurtosis20.572977
Mean120.51371
Median Absolute Deviation (MAD)23.8
Skewness3.4457474
Sum14943.7
Variance3200.0012
MonotonicityNot monotonic
2023-12-12T08:29:31.029002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193.3 2
 
1.6%
116.4 2
 
1.6%
130.8 1
 
0.8%
220.5 1
 
0.8%
159.8 1
 
0.8%
159.9 1
 
0.8%
130.0 1
 
0.8%
196.8 1
 
0.8%
21.8 1
 
0.8%
68.0 1
 
0.8%
Other values (112) 112
90.3%
ValueCountFrequency (%)
21.8 1
0.8%
43.2 1
0.8%
57.1 1
0.8%
57.6 1
0.8%
58.0 1
0.8%
59.4 1
0.8%
62.2 1
0.8%
65.1 1
0.8%
66.1 1
0.8%
68.0 1
0.8%
ValueCountFrequency (%)
521.7 1
0.8%
283.9 1
0.8%
279.0 1
0.8%
268.0 1
0.8%
220.5 1
0.8%
217.2 1
0.8%
196.8 1
0.8%
193.3 2
1.6%
190.4 1
0.8%
180.4 1
0.8%

생산지수(2021-01)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.33065
Minimum22.4
Maximum396.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:31.183940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.4
5-th percentile50.41
Q175.875
median97.5
Q3116.075
95-th percentile176.955
Maximum396.9
Range374.5
Interquartile range (IQR)40.2

Descriptive statistics

Standard deviation53.340689
Coefficient of variation (CV)0.51126579
Kurtosis13.92424
Mean104.33065
Median Absolute Deviation (MAD)20.5
Skewness3.1570475
Sum12937
Variance2845.2291
MonotonicityNot monotonic
2023-12-12T08:29:31.352283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.1 4
 
3.2%
96.5 3
 
2.4%
162.2 2
 
1.6%
76.1 2
 
1.6%
104.4 2
 
1.6%
89.7 2
 
1.6%
96.1 2
 
1.6%
59.3 2
 
1.6%
44.2 1
 
0.8%
194.9 1
 
0.8%
Other values (103) 103
83.1%
ValueCountFrequency (%)
22.4 1
0.8%
32.5 1
0.8%
44.2 1
0.8%
45.8 1
0.8%
47.0 1
0.8%
47.6 1
0.8%
49.9 1
0.8%
53.3 1
0.8%
54.6 1
0.8%
55.9 1
0.8%
ValueCountFrequency (%)
396.9 1
0.8%
368.0 1
0.8%
346.1 1
0.8%
213.9 1
0.8%
194.9 1
0.8%
184.1 1
0.8%
178.8 1
0.8%
166.5 1
0.8%
162.2 2
1.6%
159.5 1
0.8%

생산지수(2021-02)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.55645
Minimum22.9
Maximum389.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:31.487599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.9
5-th percentile51.065
Q177
median91.6
Q3114.55
95-th percentile169.455
Maximum389.4
Range366.5
Interquartile range (IQR)37.55

Descriptive statistics

Standard deviation44.881135
Coefficient of variation (CV)0.44632775
Kurtosis14.927528
Mean100.55645
Median Absolute Deviation (MAD)18.3
Skewness2.9806359
Sum12469
Variance2014.3163
MonotonicityNot monotonic
2023-12-12T08:29:31.627962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.6 2
 
1.6%
52.0 2
 
1.6%
84.3 2
 
1.6%
106.8 2
 
1.6%
135.0 2
 
1.6%
75.0 2
 
1.6%
157.3 2
 
1.6%
78.1 2
 
1.6%
109.8 2
 
1.6%
91.3 2
 
1.6%
Other values (104) 104
83.9%
ValueCountFrequency (%)
22.9 1
0.8%
43.1 1
0.8%
45.8 1
0.8%
47.3 1
0.8%
47.5 1
0.8%
50.1 1
0.8%
50.9 1
0.8%
52.0 2
1.6%
52.4 1
0.8%
58.8 1
0.8%
ValueCountFrequency (%)
389.4 1
0.8%
261.9 1
0.8%
247.6 1
0.8%
208.4 1
0.8%
198.4 1
0.8%
173.5 1
0.8%
171.6 1
0.8%
157.3 2
1.6%
146.7 1
0.8%
141.6 1
0.8%

생산지수(2021-03)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.77258
Minimum19.6
Maximum475.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:31.765458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.6
5-th percentile58.25
Q188.075
median107.45
Q3136.425
95-th percentile216.125
Maximum475.1
Range455.5
Interquartile range (IQR)48.35

Descriptive statistics

Standard deviation54.566846
Coefficient of variation (CV)0.45942292
Kurtosis14.586753
Mean118.77258
Median Absolute Deviation (MAD)22.3
Skewness2.8142325
Sum14727.8
Variance2977.5407
MonotonicityNot monotonic
2023-12-12T08:29:31.897045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.1 2
 
1.6%
87.1 2
 
1.6%
85.3 2
 
1.6%
76.0 2
 
1.6%
104.3 2
 
1.6%
216.8 2
 
1.6%
135.4 2
 
1.6%
104.8 2
 
1.6%
99.4 1
 
0.8%
19.6 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
19.6 1
0.8%
43.4 1
0.8%
51.1 1
0.8%
51.5 1
0.8%
54.4 1
0.8%
54.8 1
0.8%
58.1 1
0.8%
59.1 2
1.6%
60.5 1
0.8%
65.2 1
0.8%
ValueCountFrequency (%)
475.1 1
0.8%
279.6 1
0.8%
265.2 1
0.8%
237.9 1
0.8%
235.0 1
0.8%
216.8 2
1.6%
212.3 1
0.8%
200.9 1
0.8%
184.4 1
0.8%
178.8 1
0.8%

생산지수(2021-04)
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.42177
Minimum20.4
Maximum341.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:32.046640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.4
5-th percentile55.325
Q182.375
median102.5
Q3131.55
95-th percentile198.865
Maximum341.6
Range321.2
Interquartile range (IQR)49.175

Descriptive statistics

Standard deviation46.200314
Coefficient of variation (CV)0.4146435
Kurtosis4.4931293
Mean111.42177
Median Absolute Deviation (MAD)24.75
Skewness1.5158633
Sum13816.3
Variance2134.469
MonotonicityNot monotonic
2023-12-12T08:29:32.233711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112.7 3
 
2.4%
82.6 3
 
2.4%
169.6 2
 
1.6%
102.2 2
 
1.6%
80.7 2
 
1.6%
210.8 2
 
1.6%
84.6 2
 
1.6%
141.5 2
 
1.6%
109.4 2
 
1.6%
172.7 1
 
0.8%
Other values (103) 103
83.1%
ValueCountFrequency (%)
20.4 1
0.8%
40.5 1
0.8%
42.3 1
0.8%
46.2 1
0.8%
49.4 1
0.8%
53.1 1
0.8%
54.8 1
0.8%
58.3 1
0.8%
58.8 1
0.8%
59.2 1
0.8%
ValueCountFrequency (%)
341.6 1
0.8%
235.6 1
0.8%
224.1 1
0.8%
220.5 1
0.8%
210.8 2
1.6%
199.9 1
0.8%
193.0 1
0.8%
185.8 1
0.8%
173.2 1
0.8%
172.7 1
0.8%

생산지수(2021-05)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.07984
Minimum17.3
Maximum404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:32.383987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.3
5-th percentile53.79
Q178.375
median101.4
Q3129.775
95-th percentile194.34
Maximum404
Range386.7
Interquartile range (IQR)51.4

Descriptive statistics

Standard deviation50.454218
Coefficient of variation (CV)0.45834204
Kurtosis9.3346684
Mean110.07984
Median Absolute Deviation (MAD)24.2
Skewness2.264594
Sum13649.9
Variance2545.6281
MonotonicityNot monotonic
2023-12-12T08:29:32.528285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.1 3
 
2.4%
86.7 2
 
1.6%
145.8 2
 
1.6%
107.1 2
 
1.6%
195.0 2
 
1.6%
177.2 2
 
1.6%
77.2 2
 
1.6%
110.2 1
 
0.8%
223.8 1
 
0.8%
59.2 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
17.3 1
0.8%
41.8 1
0.8%
50.6 1
0.8%
51.1 1
0.8%
53.1 1
0.8%
53.2 1
0.8%
53.7 1
0.8%
54.3 1
0.8%
57.6 1
0.8%
59.1 1
0.8%
ValueCountFrequency (%)
404.0 1
0.8%
271.9 1
0.8%
253.8 1
0.8%
223.8 1
0.8%
222.6 1
0.8%
195.0 2
1.6%
190.6 1
0.8%
180.2 1
0.8%
177.2 2
1.6%
167.4 1
0.8%

생산지수(2021-06)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.65403
Minimum17.7
Maximum433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:32.680007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.7
5-th percentile57.015
Q181.275
median105.7
Q3138.875
95-th percentile202.4
Maximum433
Range415.3
Interquartile range (IQR)57.6

Descriptive statistics

Standard deviation55.906027
Coefficient of variation (CV)0.48339021
Kurtosis9.1030364
Mean115.65403
Median Absolute Deviation (MAD)28.95
Skewness2.321886
Sum14341.1
Variance3125.4838
MonotonicityNot monotonic
2023-12-12T08:29:32.811731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.0 3
 
2.4%
118.0 2
 
1.6%
202.4 2
 
1.6%
87.4 2
 
1.6%
114.0 2
 
1.6%
118.2 2
 
1.6%
105.7 2
 
1.6%
73.9 2
 
1.6%
206.8 1
 
0.8%
124.3 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
17.7 1
0.8%
43.9 1
0.8%
53.4 1
0.8%
55.3 1
0.8%
56.6 1
0.8%
56.9 1
0.8%
57.0 1
0.8%
57.1 1
0.8%
57.9 1
0.8%
59.6 1
0.8%
ValueCountFrequency (%)
433.0 1
0.8%
314.3 1
0.8%
296.5 1
0.8%
243.4 1
0.8%
237.0 1
0.8%
206.8 1
0.8%
202.4 2
1.6%
199.7 1
0.8%
189.0 1
0.8%
181.6 1
0.8%

생산지수(2021-07)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.75161
Minimum20.6
Maximum340.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:33.280013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.6
5-th percentile54.66
Q179.4
median101.2
Q3128.825
95-th percentile189.725
Maximum340.3
Range319.7
Interquartile range (IQR)49.425

Descriptive statistics

Standard deviation45.586179
Coefficient of variation (CV)0.42306726
Kurtosis4.9347039
Mean107.75161
Median Absolute Deviation (MAD)25.05
Skewness1.5509393
Sum13361.2
Variance2078.0998
MonotonicityNot monotonic
2023-12-12T08:29:33.430234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.8 3
 
2.4%
101.2 3
 
2.4%
154.2 2
 
1.6%
79.4 2
 
1.6%
189.3 2
 
1.6%
94.9 2
 
1.6%
92.2 2
 
1.6%
111.4 1
 
0.8%
72.4 1
 
0.8%
162.9 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
20.6 1
0.8%
28.1 1
0.8%
40.7 1
0.8%
44.3 1
0.8%
48.8 1
0.8%
54.2 1
0.8%
54.6 1
0.8%
55.0 1
0.8%
55.9 1
0.8%
56.4 1
0.8%
ValueCountFrequency (%)
340.3 1
0.8%
232.4 1
0.8%
212.3 1
0.8%
210.1 1
0.8%
205.7 1
0.8%
202.4 1
0.8%
189.8 1
0.8%
189.3 2
1.6%
184.4 1
0.8%
164.9 1
0.8%

생산지수(2021-08)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.32984
Minimum14.3
Maximum410.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:33.584005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.3
5-th percentile46.255
Q169.7
median90.85
Q3115.525
95-th percentile202.695
Maximum410.2
Range395.9
Interquartile range (IQR)45.825

Descriptive statistics

Standard deviation55.965262
Coefficient of variation (CV)0.54691049
Kurtosis9.2752507
Mean102.32984
Median Absolute Deviation (MAD)23
Skewness2.5349799
Sum12688.9
Variance3132.1106
MonotonicityNot monotonic
2023-12-12T08:29:33.791999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.3 2
 
1.6%
77.8 2
 
1.6%
76.9 2
 
1.6%
161.5 2
 
1.6%
91.0 2
 
1.6%
68.2 2
 
1.6%
70.8 2
 
1.6%
115.3 1
 
0.8%
206.7 1
 
0.8%
162.4 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
14.3 1
0.8%
31.8 1
0.8%
41.5 1
0.8%
41.9 1
0.8%
43.0 1
0.8%
44.6 1
0.8%
46.0 1
0.8%
47.7 1
0.8%
50.6 1
0.8%
51.0 1
0.8%
ValueCountFrequency (%)
410.2 1
0.8%
315.3 1
0.8%
298.8 1
0.8%
247.9 1
0.8%
246.0 1
0.8%
231.4 1
0.8%
206.7 1
0.8%
180.0 1
0.8%
171.5 1
0.8%
168.5 1
0.8%

생산지수(2021-09)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.429839
Minimum17.2
Maximum404.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:34.000590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.2
5-th percentile51.19
Q166.975
median87.3
Q3120.8
95-th percentile166.12
Maximum404.8
Range387.6
Interquartile range (IQR)53.825

Descriptive statistics

Standard deviation49.413352
Coefficient of variation (CV)0.50201598
Kurtosis12.560868
Mean98.429839
Median Absolute Deviation (MAD)23.95
Skewness2.7691981
Sum12205.3
Variance2441.6793
MonotonicityNot monotonic
2023-12-12T08:29:34.182724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.3 3
 
2.4%
134.7 2
 
1.6%
62.9 2
 
1.6%
123.8 2
 
1.6%
54.1 2
 
1.6%
98.6 2
 
1.6%
158.6 2
 
1.6%
59.4 2
 
1.6%
91.9 2
 
1.6%
248.1 1
 
0.8%
Other values (104) 104
83.9%
ValueCountFrequency (%)
17.2 1
0.8%
42.2 1
0.8%
43.5 1
0.8%
45.9 1
0.8%
49.2 1
0.8%
50.6 1
0.8%
51.1 1
0.8%
51.7 1
0.8%
54.1 2
1.6%
55.1 1
0.8%
ValueCountFrequency (%)
404.8 1
0.8%
253.5 1
0.8%
249.6 1
0.8%
248.1 1
0.8%
220.5 1
0.8%
167.1 1
0.8%
166.9 1
0.8%
161.7 1
0.8%
158.6 2
1.6%
156.6 1
0.8%

생산지수(2021-10)
Real number (ℝ)

Distinct119
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.21855
Minimum21.1
Maximum369.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:34.342263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.1
5-th percentile52.76
Q171.25
median94.9
Q3121.75
95-th percentile190.21
Maximum369.2
Range348.1
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation46.905522
Coefficient of variation (CV)0.4544292
Kurtosis7.878076
Mean103.21855
Median Absolute Deviation (MAD)24.95
Skewness2.0539085
Sum12799.1
Variance2200.128
MonotonicityNot monotonic
2023-12-12T08:29:34.492922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.8 2
 
1.6%
91.0 2
 
1.6%
89.7 2
 
1.6%
64.3 2
 
1.6%
97.8 2
 
1.6%
108.3 1
 
0.8%
168.2 1
 
0.8%
200.1 1
 
0.8%
21.1 1
 
0.8%
71.4 1
 
0.8%
Other values (109) 109
87.9%
ValueCountFrequency (%)
21.1 1
0.8%
37.3 1
0.8%
45.6 1
0.8%
47.6 1
0.8%
50.7 1
0.8%
51.5 1
0.8%
52.7 1
0.8%
53.1 1
0.8%
54.6 1
0.8%
54.8 1
0.8%
ValueCountFrequency (%)
369.2 1
0.8%
228.3 1
0.8%
223.6 1
0.8%
209.6 1
0.8%
200.1 1
0.8%
199.4 1
0.8%
190.3 1
0.8%
189.7 1
0.8%
186.7 1
0.8%
169.2 1
0.8%

생산지수(2021-11)
Real number (ℝ)

Distinct121
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.59113
Minimum22.1
Maximum438.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:34.662967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.1
5-th percentile51.23
Q173.075
median99
Q3132.05
95-th percentile216.445
Maximum438.9
Range416.8
Interquartile range (IQR)58.975

Descriptive statistics

Standard deviation54.887295
Coefficient of variation (CV)0.50544916
Kurtosis10.311589
Mean108.59113
Median Absolute Deviation (MAD)29.25
Skewness2.3754746
Sum13465.3
Variance3012.6151
MonotonicityNot monotonic
2023-12-12T08:29:34.848807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
156.4 2
 
1.6%
88.2 2
 
1.6%
106.8 2
 
1.6%
51.4 1
 
0.8%
80.4 1
 
0.8%
159.3 1
 
0.8%
129.4 1
 
0.8%
70.3 1
 
0.8%
114.3 1
 
0.8%
438.9 1
 
0.8%
Other values (111) 111
89.5%
ValueCountFrequency (%)
22.1 1
0.8%
41.8 1
0.8%
41.9 1
0.8%
45.9 1
0.8%
46.1 1
0.8%
49.0 1
0.8%
51.2 1
0.8%
51.4 1
0.8%
53.1 1
0.8%
54.5 1
0.8%
ValueCountFrequency (%)
438.9 1
0.8%
263.4 1
0.8%
250.0 1
0.8%
242.1 1
0.8%
226.9 1
0.8%
224.9 1
0.8%
218.5 1
0.8%
204.8 1
0.8%
185.3 1
0.8%
180.0 1
0.8%

생산지수(2021-12)
Real number (ℝ)

Distinct120
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.7
Minimum20.2
Maximum483.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:35.044088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.2
5-th percentile52.265
Q173.375
median98.85
Q3128.425
95-th percentile193.115
Maximum483.5
Range463.3
Interquartile range (IQR)55.05

Descriptive statistics

Standard deviation57.033408
Coefficient of variation (CV)0.52468636
Kurtosis14.902512
Mean108.7
Median Absolute Deviation (MAD)28
Skewness2.9006609
Sum13478.8
Variance3252.8096
MonotonicityNot monotonic
2023-12-12T08:29:35.243766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145.1 2
 
1.6%
93.3 2
 
1.6%
186.6 2
 
1.6%
91.0 2
 
1.6%
117.3 1
 
0.8%
257.1 1
 
0.8%
179.4 1
 
0.8%
131.0 1
 
0.8%
82.1 1
 
0.8%
57.6 1
 
0.8%
Other values (110) 110
88.7%
ValueCountFrequency (%)
20.2 1
0.8%
42.6 1
0.8%
46.5 1
0.8%
47.3 1
0.8%
49.8 1
0.8%
49.9 1
0.8%
52.1 1
0.8%
53.2 1
0.8%
55.7 1
0.8%
56.2 1
0.8%
ValueCountFrequency (%)
483.5 1
0.8%
280.3 1
0.8%
257.1 1
0.8%
241.8 1
0.8%
226.0 1
0.8%
216.8 1
0.8%
193.4 1
0.8%
191.5 1
0.8%
189.0 1
0.8%
186.6 2
1.6%

생산지수(2022-01)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.654032
Minimum25.3
Maximum416.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:35.400458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.3
5-th percentile46.745
Q167.925
median91.3
Q3109.025
95-th percentile194.115
Maximum416.1
Range390.8
Interquartile range (IQR)41.1

Descriptive statistics

Standard deviation51.802881
Coefficient of variation (CV)0.52509643
Kurtosis11.905705
Mean98.654032
Median Absolute Deviation (MAD)21.35
Skewness2.7288492
Sum12233.1
Variance2683.5384
MonotonicityNot monotonic
2023-12-12T08:29:35.544955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.4 2
 
1.6%
157.1 2
 
1.6%
79.1 2
 
1.6%
80.0 2
 
1.6%
98.1 2
 
1.6%
83.4 2
 
1.6%
69.9 2
 
1.6%
132.2 2
 
1.6%
105.9 2
 
1.6%
154.8 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
25.3 1
0.8%
38.3 1
0.8%
43.0 1
0.8%
45.4 1
0.8%
45.5 1
0.8%
46.1 1
0.8%
46.4 1
0.8%
48.7 1
0.8%
49.3 1
0.8%
52.4 2
1.6%
ValueCountFrequency (%)
416.1 1
0.8%
261.7 1
0.8%
254.2 1
0.8%
240.4 1
0.8%
226.7 1
0.8%
200.5 1
0.8%
196.2 1
0.8%
182.3 1
0.8%
169.6 1
0.8%
164.4 1
0.8%

생산지수(2022-02)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.146774
Minimum34.6
Maximum390.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:35.684954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.6
5-th percentile49.615
Q161.3
median88.3
Q3105.525
95-th percentile181.31
Maximum390.3
Range355.7
Interquartile range (IQR)44.225

Descriptive statistics

Standard deviation52.370735
Coefficient of variation (CV)0.54469571
Kurtosis10.968456
Mean96.146774
Median Absolute Deviation (MAD)24.45
Skewness2.8298935
Sum11922.2
Variance2742.6939
MonotonicityNot monotonic
2023-12-12T08:29:35.883881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 3
 
2.4%
103.6 2
 
1.6%
56.4 2
 
1.6%
61.0 2
 
1.6%
130.2 2
 
1.6%
98.4 2
 
1.6%
58.5 2
 
1.6%
203.4 1
 
0.8%
34.8 1
 
0.8%
57.4 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
34.6 1
0.8%
34.8 1
0.8%
42.3 1
0.8%
43.8 1
0.8%
46.3 1
0.8%
47.1 1
0.8%
49.3 1
0.8%
51.4 1
0.8%
52.3 1
0.8%
52.7 1
0.8%
ValueCountFrequency (%)
390.3 1
0.8%
305.6 1
0.8%
300.7 1
0.8%
238.3 1
0.8%
238.0 1
0.8%
203.4 1
0.8%
182.3 1
0.8%
175.7 1
0.8%
148.0 1
0.8%
146.6 1
0.8%

생산지수(2022-03)
Real number (ℝ)

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.66048
Minimum35.8
Maximum473.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:36.093873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.8
5-th percentile52.145
Q172.95
median94.05
Q3121.025
95-th percentile191.815
Maximum473.2
Range437.4
Interquartile range (IQR)48.075

Descriptive statistics

Standard deviation59.839482
Coefficient of variation (CV)0.56102766
Kurtosis13.927422
Mean106.66048
Median Absolute Deviation (MAD)24
Skewness3.1280038
Sum13225.9
Variance3580.7635
MonotonicityNot monotonic
2023-12-12T08:29:36.241294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146.0 2
 
1.6%
74.6 2
 
1.6%
91.7 2
 
1.6%
94.1 2
 
1.6%
102.4 2
 
1.6%
98.0 2
 
1.6%
52.4 2
 
1.6%
65.0 2
 
1.6%
194.8 1
 
0.8%
52.1 1
 
0.8%
Other values (106) 106
85.5%
ValueCountFrequency (%)
35.8 1
0.8%
39.8 1
0.8%
44.5 1
0.8%
45.9 1
0.8%
48.8 1
0.8%
49.5 1
0.8%
52.1 1
0.8%
52.4 2
1.6%
52.9 1
0.8%
53.4 1
0.8%
ValueCountFrequency (%)
473.2 1
0.8%
350.5 1
0.8%
326.4 1
0.8%
272.9 1
0.8%
240.5 1
0.8%
217.5 1
0.8%
194.8 1
0.8%
174.9 1
0.8%
171.3 1
0.8%
169.1 1
0.8%

생산지수(2022-04)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.84516
Minimum27
Maximum391.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:36.386055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile49.55
Q167.725
median93.1
Q3115.125
95-th percentile197.08
Maximum391.4
Range364.4
Interquartile range (IQR)47.4

Descriptive statistics

Standard deviation49.984022
Coefficient of variation (CV)0.49565117
Kurtosis9.1950953
Mean100.84516
Median Absolute Deviation (MAD)24.35
Skewness2.3207401
Sum12504.8
Variance2498.4025
MonotonicityNot monotonic
2023-12-12T08:29:36.548780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.3 2
 
1.6%
101.3 2
 
1.6%
58.3 2
 
1.6%
99.4 2
 
1.6%
97.4 2
 
1.6%
239.9 2
 
1.6%
155.5 2
 
1.6%
78.2 1
 
0.8%
66.9 1
 
0.8%
40.4 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
27.0 1
0.8%
39.3 1
0.8%
40.0 1
0.8%
40.4 1
0.8%
46.3 1
0.8%
46.7 1
0.8%
49.4 1
0.8%
50.4 1
0.8%
53.4 1
0.8%
53.5 1
0.8%
ValueCountFrequency (%)
391.4 1
0.8%
239.9 2
1.6%
234.1 1
0.8%
220.7 1
0.8%
213.9 1
0.8%
200.8 1
0.8%
176.0 1
0.8%
162.4 1
0.8%
161.6 1
0.8%
156.5 1
0.8%

생산지수(2022-05)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.77097
Minimum23.3
Maximum428.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:36.709549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.3
5-th percentile50.545
Q169.5
median94.7
Q3121.175
95-th percentile209.965
Maximum428.4
Range405.1
Interquartile range (IQR)51.675

Descriptive statistics

Standard deviation54.243069
Coefficient of variation (CV)0.51772996
Kurtosis10.36708
Mean104.77097
Median Absolute Deviation (MAD)26.25
Skewness2.4861601
Sum12991.6
Variance2942.3105
MonotonicityNot monotonic
2023-12-12T08:29:36.891079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.8 2
 
1.6%
84.6 2
 
1.6%
67.0 2
 
1.6%
51.7 2
 
1.6%
102.2 2
 
1.6%
179.4 2
 
1.6%
93.9 2
 
1.6%
159.3 1
 
0.8%
125.0 1
 
0.8%
77.4 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
23.3 1
0.8%
43.1 1
0.8%
43.6 1
0.8%
44.1 1
0.8%
46.9 1
0.8%
49.9 1
0.8%
50.5 1
0.8%
50.8 1
0.8%
51.7 2
1.6%
52.1 1
0.8%
ValueCountFrequency (%)
428.4 1
0.8%
266.8 1
0.8%
259.4 1
0.8%
253.6 1
0.8%
220.8 1
0.8%
215.4 1
0.8%
214.3 1
0.8%
185.4 1
0.8%
181.6 1
0.8%
179.4 2
1.6%

생산지수(2022-06)
Real number (ℝ)

Distinct120
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.92581
Minimum19.7
Maximum451.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:37.047292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.7
5-th percentile49.645
Q167.35
median94.05
Q3126.925
95-th percentile186.8
Maximum451.1
Range431.4
Interquartile range (IQR)59.575

Descriptive statistics

Standard deviation57.050196
Coefficient of variation (CV)0.5489512
Kurtosis11.292828
Mean103.92581
Median Absolute Deviation (MAD)27.5
Skewness2.5778331
Sum12886.8
Variance3254.7249
MonotonicityNot monotonic
2023-12-12T08:29:37.171865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186.8 2
 
1.6%
103.3 2
 
1.6%
50.0 2
 
1.6%
92.9 2
 
1.6%
55.9 1
 
0.8%
61.4 1
 
0.8%
157.8 1
 
0.8%
116.3 1
 
0.8%
78.0 1
 
0.8%
105.7 1
 
0.8%
Other values (110) 110
88.7%
ValueCountFrequency (%)
19.7 1
0.8%
33.3 1
0.8%
37.8 1
0.8%
40.0 1
0.8%
40.7 1
0.8%
48.7 1
0.8%
49.6 1
0.8%
49.9 1
0.8%
50.0 2
1.6%
50.2 1
0.8%
ValueCountFrequency (%)
451.1 1
0.8%
285.3 1
0.8%
262.3 1
0.8%
259.6 1
0.8%
240.0 1
0.8%
207.1 1
0.8%
186.8 2
1.6%
183.3 1
0.8%
179.2 1
0.8%
173.6 1
0.8%

생산지수(2022-07)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.34758
Minimum23
Maximum367.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:37.295559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile45.53
Q164.725
median89.6
Q3122.025
95-th percentile175.3
Maximum367.9
Range344.9
Interquartile range (IQR)57.3

Descriptive statistics

Standard deviation52.227637
Coefficient of variation (CV)0.52046733
Kurtosis8.2381334
Mean100.34758
Median Absolute Deviation (MAD)27.4
Skewness2.3042488
Sum12443.1
Variance2727.7261
MonotonicityNot monotonic
2023-12-12T08:29:37.752066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.5 2
 
1.6%
64.2 2
 
1.6%
175.3 2
 
1.6%
151.5 2
 
1.6%
86.7 2
 
1.6%
68.4 2
 
1.6%
117.0 2
 
1.6%
56.8 1
 
0.8%
44.7 1
 
0.8%
137.1 1
 
0.8%
Other values (107) 107
86.3%
ValueCountFrequency (%)
23.0 1
0.8%
36.1 1
0.8%
38.8 1
0.8%
43.1 1
0.8%
43.4 1
0.8%
44.7 1
0.8%
45.2 1
0.8%
47.4 1
0.8%
48.8 1
0.8%
49.5 1
0.8%
ValueCountFrequency (%)
367.9 1
0.8%
319.7 1
0.8%
305.7 1
0.8%
203.0 1
0.8%
202.2 1
0.8%
179.4 1
0.8%
175.3 2
1.6%
173.4 1
0.8%
169.8 1
0.8%
160.0 1
0.8%

생산지수(2022-08)
Real number (ℝ)

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.935484
Minimum20.1
Maximum373.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:37.928977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.1
5-th percentile42.685
Q160.25
median83.3
Q3121.375
95-th percentile185.405
Maximum373.8
Range353.7
Interquartile range (IQR)61.125

Descriptive statistics

Standard deviation56.803795
Coefficient of variation (CV)0.5800124
Kurtosis8.4868456
Mean97.935484
Median Absolute Deviation (MAD)25.65
Skewness2.4190326
Sum12144
Variance3226.6711
MonotonicityNot monotonic
2023-12-12T08:29:38.080582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.0 2
 
1.6%
93.8 2
 
1.6%
93.0 2
 
1.6%
52.5 2
 
1.6%
103.3 2
 
1.6%
54.7 2
 
1.6%
59.4 2
 
1.6%
194.6 2
 
1.6%
73.0 2
 
1.6%
73.4 2
 
1.6%
Other values (104) 104
83.9%
ValueCountFrequency (%)
20.1 1
0.8%
33.6 1
0.8%
34.3 1
0.8%
35.4 1
0.8%
41.1 1
0.8%
41.2 1
0.8%
42.4 1
0.8%
44.3 1
0.8%
45.0 1
0.8%
45.4 1
0.8%
ValueCountFrequency (%)
373.8 1
0.8%
362.8 1
0.8%
322.4 1
0.8%
209.9 1
0.8%
194.6 2
1.6%
186.2 1
0.8%
180.9 1
0.8%
172.7 1
0.8%
169.1 1
0.8%
164.3 1
0.8%

생산지수(2022-09)
Real number (ℝ)

Distinct115
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.58468
Minimum23
Maximum473.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:38.229128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile45.02
Q164.675
median88
Q3122.175
95-th percentile208.58
Maximum473.2
Range450.2
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation69.72208
Coefficient of variation (CV)0.66665674
Kurtosis12.423019
Mean104.58468
Median Absolute Deviation (MAD)25.7
Skewness3.0768237
Sum12968.5
Variance4861.1685
MonotonicityNot monotonic
2023-12-12T08:29:38.368968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.9 3
 
2.4%
54.8 2
 
1.6%
79.3 2
 
1.6%
90.9 2
 
1.6%
49.7 2
 
1.6%
64.3 2
 
1.6%
190.9 2
 
1.6%
54.9 2
 
1.6%
172.2 1
 
0.8%
121.8 1
 
0.8%
Other values (105) 105
84.7%
ValueCountFrequency (%)
23.0 1
0.8%
35.3 1
0.8%
39.9 1
0.8%
41.4 1
0.8%
43.5 1
0.8%
43.8 1
0.8%
44.9 1
0.8%
45.7 1
0.8%
46.7 1
0.8%
49.0 1
0.8%
ValueCountFrequency (%)
473.2 1
0.8%
447.3 1
0.8%
410.6 1
0.8%
254.5 1
0.8%
249.3 1
0.8%
226.0 1
0.8%
211.7 1
0.8%
190.9 2
1.6%
181.3 1
0.8%
180.2 1
0.8%

생산지수(2022-10)
Real number (ℝ)

Distinct121
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.60484
Minimum27.9
Maximum528.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:38.539952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.9
5-th percentile49.51
Q167.425
median91.3
Q3123.2
95-th percentile198.72
Maximum528.1
Range500.2
Interquartile range (IQR)55.775

Descriptive statistics

Standard deviation69.814345
Coefficient of variation (CV)0.65488908
Kurtosis13.73302
Mean106.60484
Median Absolute Deviation (MAD)28.6
Skewness3.1900277
Sum13219
Variance4874.0427
MonotonicityNot monotonic
2023-12-12T08:29:38.698533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.9 2
 
1.6%
196.0 2
 
1.6%
92.5 2
 
1.6%
106.0 1
 
0.8%
199.2 1
 
0.8%
177.4 1
 
0.8%
105.5 1
 
0.8%
229.5 1
 
0.8%
27.9 1
 
0.8%
103.9 1
 
0.8%
Other values (111) 111
89.5%
ValueCountFrequency (%)
27.9 1
0.8%
39.8 1
0.8%
40.5 1
0.8%
45.0 1
0.8%
45.3 1
0.8%
46.1 1
0.8%
49.3 1
0.8%
50.7 1
0.8%
51.5 1
0.8%
51.7 1
0.8%
ValueCountFrequency (%)
528.1 1
0.8%
381.1 1
0.8%
372.3 1
0.8%
343.7 1
0.8%
257.9 1
0.8%
229.5 1
0.8%
199.2 1
0.8%
196.0 2
1.6%
191.7 1
0.8%
177.4 1
0.8%

생산지수(2022-11)
Real number (ℝ)

Distinct119
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.44113
Minimum29
Maximum501.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:38.823900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile50.795
Q171
median96.65
Q3130.7
95-th percentile215.13
Maximum501.8
Range472.8
Interquartile range (IQR)59.7

Descriptive statistics

Standard deviation64.016894
Coefficient of variation (CV)0.56933699
Kurtosis11.382945
Mean112.44113
Median Absolute Deviation (MAD)29.45
Skewness2.5822054
Sum13942.7
Variance4098.1628
MonotonicityNot monotonic
2023-12-12T08:29:38.983473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195.3 2
 
1.6%
36.3 2
 
1.6%
70.7 2
 
1.6%
93.3 2
 
1.6%
93.5 2
 
1.6%
55.9 1
 
0.8%
45.1 1
 
0.8%
164.6 1
 
0.8%
124.7 1
 
0.8%
110.5 1
 
0.8%
Other values (109) 109
87.9%
ValueCountFrequency (%)
29.0 1
0.8%
36.3 2
1.6%
45.1 1
0.8%
46.0 1
0.8%
48.9 1
0.8%
50.6 1
0.8%
51.9 1
0.8%
52.1 1
0.8%
52.8 1
0.8%
53.2 1
0.8%
ValueCountFrequency (%)
501.8 1
0.8%
350.9 1
0.8%
259.8 1
0.8%
249.8 1
0.8%
240.0 1
0.8%
225.9 1
0.8%
218.4 1
0.8%
196.6 1
0.8%
195.9 1
0.8%
195.3 2
1.6%

생산지수(2022-12)
Real number (ℝ)

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.52903
Minimum20.3
Maximum645.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:29:39.154266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.3
5-th percentile46.015
Q167.625
median88.6
Q3126.475
95-th percentile220.52
Maximum645.2
Range624.9
Interquartile range (IQR)58.85

Descriptive statistics

Standard deviation69.369876
Coefficient of variation (CV)0.65118282
Kurtosis29.146852
Mean106.52903
Median Absolute Deviation (MAD)26.05
Skewness4.2611461
Sum13209.6
Variance4812.1796
MonotonicityNot monotonic
2023-12-12T08:29:39.319128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.8 2
 
1.6%
88.4 2
 
1.6%
76.9 2
 
1.6%
96.1 2
 
1.6%
186.3 2
 
1.6%
114.2 2
 
1.6%
73.9 1
 
0.8%
138.1 1
 
0.8%
120.4 1
 
0.8%
163.3 1
 
0.8%
Other values (108) 108
87.1%
ValueCountFrequency (%)
20.3 1
0.8%
37.7 1
0.8%
38.0 1
0.8%
40.3 1
0.8%
42.1 1
0.8%
45.4 1
0.8%
46.0 1
0.8%
46.1 1
0.8%
47.8 1
0.8%
50.7 1
0.8%
ValueCountFrequency (%)
645.2 1
0.8%
271.1 1
0.8%
264.3 1
0.8%
254.8 1
0.8%
232.5 1
0.8%
222.0 1
0.8%
221.0 1
0.8%
217.8 1
0.8%
212.4 1
0.8%
186.3 2
1.6%

Sample

품목코드품목명생산지수(2015-01)생산지수(2015-02)생산지수(2015-03)생산지수(2015-04)생산지수(2015-05)생산지수(2015-06)생산지수(2015-07)생산지수(2015-08)생산지수(2015-09)생산지수(2015-10)생산지수(2015-11)생산지수(2015-12)생산지수(2016-01)생산지수(2016-02)생산지수(2016-03)생산지수(2016-04)생산지수(2016-05)생산지수(2016-06)생산지수(2016-07)생산지수(2016-08)생산지수(2016-09)생산지수(2016-10)생산지수(2016-11)생산지수(2016-12)생산지수(2017-01)생산지수(2017-02)생산지수(2017-03)생산지수(2017-04)생산지수(2017-05)생산지수(2017-06)생산지수(2017-07)생산지수(2017-08)생산지수(2017-09)생산지수(2017-10)생산지수(2017-11)생산지수(2017-12)생산지수(2018-01)생산지수(2018-02)생산지수(2018-03)생산지수(2018-04)생산지수(2018-05)생산지수(2018-06)생산지수(2018-07)생산지수(2018-08)생산지수(2018-09)생산지수(2018-10)생산지수(2018-11)생산지수(2018-12)생산지수(2019-01)생산지수(2019-02)생산지수(2019-03)생산지수(2019-04)생산지수(2019-05)생산지수(2019-06)생산지수(2019-07)생산지수(2019-08)생산지수(2019-09)생산지수(2019-10)생산지수(2019-11)생산지수(2019-12)생산지수(2020-01)생산지수(2020-02)생산지수(2020-03)생산지수(2020-04)생산지수(2020-05)생산지수(2020-06)생산지수(2020-07)생산지수(2020-08)생산지수(2020-09)생산지수(2020-10)생산지수(2020-11)생산지수(2020-12)생산지수(2021-01)생산지수(2021-02)생산지수(2021-03)생산지수(2021-04)생산지수(2021-05)생산지수(2021-06)생산지수(2021-07)생산지수(2021-08)생산지수(2021-09)생산지수(2021-10)생산지수(2021-11)생산지수(2021-12)생산지수(2022-01)생산지수(2022-02)생산지수(2022-03)생산지수(2022-04)생산지수(2022-05)생산지수(2022-06)생산지수(2022-07)생산지수(2022-08)생산지수(2022-09)생산지수(2022-10)생산지수(2022-11)생산지수(2022-12)
00소재부품장비97.987.6101.698.996.6101.6101.395.9100.9106.8104.1107.4102.894.4108.6103.3107.6108.6107.8104.8106.0112.3113.7116.8105.0101.6113.2106.8110.1110.0109.1107.6113.2107.4112.0110.5107.494.5109.8108.0108.4109.0109.7107.3103.5112.4108.9107.4106.191.5107.0106.6109.4107.5113.1106.3108.9114.2114.2118.1105.8103.4118.9103.199.4106.9110.7109.3123.5119.0121.8130.8115.5110.6126.0112.7114.4118.0111.4109.8108.3107.0114.3117.3107.7103.6114.2105.1108.4105.799.595.6102.8106.0110.5108.3
110000소재99.689.6100.997.097.298.8101.798.6100.0105.5104.3107.7108.7100.3111.6105.5109.7106.4107.8107.1103.4106.8106.5106.3101.494.1103.499.1103.4101.9105.5103.2101.799.598.699.8101.488.498.796.999.496.297.094.890.695.894.396.6102.787.398.596.198.094.0100.094.592.595.896.598.695.593.499.291.888.088.796.893.4100.399.196.099.895.090.098.688.288.386.686.579.677.178.078.979.077.672.979.473.272.667.671.165.565.067.572.269.4
211000섬유제품96.784.8106.0106.1104.3104.4102.593.695.6103.8100.9101.295.887.3104.0101.5103.5103.398.793.592.299.398.096.685.987.498.397.195.394.691.188.296.185.193.588.887.773.890.889.490.884.685.077.873.586.181.079.080.367.081.882.281.575.977.971.368.477.273.672.766.770.476.157.752.557.363.159.270.169.167.271.262.061.672.066.566.268.968.156.260.667.163.467.157.657.865.059.063.357.256.251.354.555.652.854.9
311010제사 및 방적98.781.6104.7100.3102.1102.0104.595.995.5106.2101.8107.0103.487.1101.599.9103.599.799.490.190.899.097.295.881.583.293.891.087.589.388.482.787.679.981.480.378.162.877.473.872.266.965.059.656.166.060.260.663.952.767.567.766.661.560.055.452.861.357.058.549.350.357.246.543.546.852.652.270.654.954.157.647.650.154.449.453.157.055.041.950.655.641.949.943.043.844.539.344.133.338.841.239.946.136.342.1
411020직물직조95.684.0104.0108.2107.6106.3101.894.196.5103.5101.097.585.278.295.792.796.097.087.786.081.385.685.683.671.975.182.587.285.485.881.183.188.679.988.581.879.366.078.983.785.778.983.074.667.782.779.276.777.261.176.378.376.771.974.767.764.673.369.567.060.464.466.151.245.045.057.051.060.259.161.168.953.358.865.266.267.268.070.556.359.367.764.573.349.356.563.959.967.064.263.652.554.958.355.163.6
511030섬유염색 및 가공90.380.2111.5114.0103.1101.6100.486.997.4108.8103.2102.693.690.3120.4117.5113.1112.7103.2100.4102.6116.5114.7109.489.294.0114.0109.7108.8103.897.691.2110.991.4110.798.890.576.7104.099.6102.492.587.182.878.493.987.179.981.467.084.886.786.877.580.467.373.587.581.481.473.678.882.956.051.360.561.854.965.269.472.176.964.562.190.583.477.481.281.160.059.476.967.768.169.978.089.880.579.172.064.549.859.166.063.852.8
611040편조원단98.685.1108.0104.997.3101.796.685.498.4105.6105.0115.2108.7101.5111.9114.0111.7118.5114.0106.3106.6107.9106.5108.398.6104.5121.4113.0112.6105.596.590.5106.792.1103.3101.4107.689.6115.5106.6109.3114.6114.089.886.095.290.8101.1101.090.4102.894.395.687.088.177.874.177.780.178.172.280.783.953.741.950.165.065.169.368.967.157.155.947.573.672.561.371.260.365.773.164.383.779.467.763.879.768.782.074.464.264.467.750.762.459.2
711090기타 섬유제품98.391.6105.8104.4104.2106.4104.296.693.699.298.997.0101.195.2104.8101.6105.6105.5105.498.997.6104.7102.6103.0102.797.9106.1101.8101.5101.0100.197.0100.990.097.996.299.787.8103.799.9102.194.796.692.590.6102.197.192.793.782.094.495.995.391.596.193.084.493.090.588.587.791.5103.580.576.485.883.579.688.297.786.488.488.980.487.172.372.873.572.565.569.070.874.869.871.458.666.861.462.358.056.856.361.354.856.755.5
812000화학물질 및 화학제품105.894.2102.095.291.694.5100.099.4102.1103.5103.3110.0109.8103.3110.9102.0108.9106.7111.0110.9105.0104.4107.5108.4106.296.3106.7101.5107.3104.9111.4110.8108.5106.6104.5109.4109.696.8106.3103.5105.5101.1103.3100.996.096.196.7104.8112.297.8105.9101.6101.398.8108.4107.4104.0101.5104.6110.8110.8106.5112.4109.4106.6105.4114.4112.2115.4111.9102.0111.1110.9103.9111.797.4100.297.8100.191.390.590.190.092.596.482.892.283.481.669.874.768.370.271.981.274.6
912010석유화학계 기초화학물질116.3102.695.884.976.686.897.1101.2104.6112.3113.5120.6121.6116.9112.397.7108.2109.8116.5120.6110.0103.2108.5107.0100.588.1101.396.9104.5103.0121.2115.4105.7112.9106.2114.3108.996.598.696.597.992.897.994.086.287.492.7112.0115.2101.6101.797.598.599.3109.0116.6106.794.6111.5117.7118.0113.0124.2145.7158.2138.0143.7134.2131.4125.7112.5124.3115.7108.1107.190.489.483.186.089.085.679.780.791.083.473.372.562.362.251.159.763.265.958.468.775.4
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11432030일반목적용 기계장비87.081.3102.591.192.3117.5102.2100.098.3110.8103.0114.085.086.2103.7101.6107.5106.495.780.695.887.9103.1118.886.292.1104.591.2100.3115.9101.592.2102.076.195.0114.378.475.4111.891.196.4113.9107.991.384.4106.6107.4126.788.487.7111.297.7111.5107.593.0103.896.290.096.3116.675.489.699.386.599.3119.6119.0119.2103.2104.199.2109.1111.0101.2105.7128.3108.1140.3131.1125.4109.5121.9122.3112.8100.2100.094.989.893.999.6118.597.284.590.296.6103.3
11532040특수목적용 기계장비97.187.1110.6114.9106.5115.7104.389.992.584.995.3101.388.088.5110.698.1107.1109.696.798.595.7106.1120.7135.7108.3110.4134.6131.5131.9135.9120.0112.8123.1105.9119.6131.3117.6113.7131.3125.1124.8121.5106.2101.993.6106.1104.7113.387.280.196.5105.3107.1102.093.590.797.092.696.5129.394.995.3122.9116.0106.9111.5132.1114.6134.995.5150.4133.1129.3115.6144.8135.9136.5139.7136.0147.6134.7127.8155.3133.1125.3103.2120.7118.3118.6131.3135.8149.0152.2130.4156.8138.4
11633000반도체·디스플레이장비85.979.5114.495.592.5108.3101.9110.6114.7110.994.491.373.070.3102.884.5100.1135.6109.7151.5154.6173.4178.0259.3190.2191.6228.9241.1276.9275.5200.7200.8195.6167.3186.3215.4190.7168.0223.6196.3183.2184.9160.9159.8161.7140.4126.4153.4111.6104.9124.9116.5116.8124.6107.898.4113.9109.6128.8199.9116.6118.0160.3175.9148.5154.2174.6155.7155.3132.8144.8193.3162.2157.3216.8210.8195.0202.4189.3161.5158.6165.8156.4186.6157.1130.2146.0155.5179.4186.8175.3194.6190.9196.0195.3186.3
11733010반도체·디스플레이장비85.979.5114.495.592.5108.3101.9110.6114.7110.994.491.373.070.3102.884.5100.1135.6109.7151.5154.6173.4178.0259.3190.2191.6228.9241.1276.9275.5200.7200.8195.6167.3186.3215.4190.7168.0223.6196.3183.2184.9160.9159.8161.7140.4126.4153.4111.6104.9124.9116.5116.8124.6107.898.4113.9109.6128.8199.9116.6118.0160.3175.9148.5154.2174.6155.7155.3132.8144.8193.3162.2157.3216.8210.8195.0202.4189.3161.5158.6165.8156.4186.6157.1130.2146.0155.5179.4186.8175.3194.6190.9196.0195.3186.3
11834000제조로봇 자동화장비100.290.698.889.7100.4109.8106.990.878.786.4119.7128.091.077.497.290.190.3121.692.797.698.0107.2121.9152.9116.6132.8150.8133.7138.3122.1134.4116.6123.0111.8132.4124.194.1118.3114.6111.1117.6110.289.792.9116.1120.8114.9137.488.586.2103.090.5125.1117.0106.2111.9127.1123.194.1157.293.1111.0150.4130.197.8130.8108.192.1129.596.5150.2126.793.0101.1117.8113.8108.1118.0106.794.6102.8100.9111.4109.697.475.182.5100.2108.9114.1121.9121.1144.4120.7129.3115.8
11934010승강기 및 컨베이어 장치90.686.2107.8107.0100.8115.6103.090.194.898.097.7108.492.086.5106.2101.4106.8110.2102.685.589.694.199.6104.983.792.3105.9101.8106.0117.8108.091.9103.285.1100.6102.394.185.4106.3103.1107.7106.5101.391.590.5100.8103.6106.999.589.5114.9113.6114.6109.1108.195.596.8107.6105.2119.595.298.2113.699.094.8109.0104.092.698.994.9104.0117.492.590.7110.5110.4106.0117.3101.2104.586.6102.1100.0116.6102.994.796.997.493.998.695.8101.0114.5101.196.7109.9
12034020산업용 로봇102.692.295.984.0100.4107.9108.391.273.382.6127.0134.590.774.494.286.384.9125.590.8103.2103.9115.1133.4174.3131.6150.4170.4148.3153.1126.8147.1128.2133.2124.1147.0134.996.6133.1120.6117.0127.0118.491.199.4133.0142.2132.4164.994.294.7110.191.7143.3133.4117.5131.0153.4143.2100.4189.8102.8129.0182.4157.4110.3154.6122.5103.0157.0108.6186.3145.6104.5118.3136.0129.8123.6134.6119.7100.5123.8115.3132.5123.7109.778.689.2116.8131.9138.2151.5149.1180.2148.4164.0137.2
12135000계측장비91.497.390.795.2101.897.7118.899.699.294.497.1116.886.680.8114.1105.096.399.0119.3106.0103.7103.7120.3126.5103.5104.6130.5144.2133.8162.2155.4136.9116.6105.1156.0120.1129.0118.1149.3134.5145.9178.8164.0143.9145.6143.8133.5127.9115.0105.6131.3120.6130.9116.3150.8121.8110.3120.6132.4117.799.4109.6127.7131.3110.3139.7163.0185.0164.3148.8131.6160.1139.1120.6147.4155.9153.2173.2149.5127.3139.8144.0137.7143.5122.0126.4145.6143.3136.5136.9137.5135.1148.9137.4130.4127.0
12235010측정,시험,제어 등 장비90.697.985.591.1101.2100.0124.798.596.591.499.7122.986.576.2113.1101.395.499.8121.8104.2103.3102.7122.5128.599.6100.8128.8143.4130.7169.8163.9133.2107.8102.4167.0119.2129.7118.6152.7136.1149.8191.5171.3145.4149.3144.6139.0134.0117.3106.6131.5115.7130.7113.6156.0124.7112.0124.7141.2123.598.1110.5128.8135.8111.7141.9151.5182.4151.2139.7125.2157.9141.9121.0135.4150.3153.5170.1138.9120.6139.6136.4138.1145.1127.1132.6148.2138.4132.4140.0142.2139.6156.3134.7135.7128.4
12335020광학기기 장비94.494.7110.4111.2103.788.796.5103.9109.9105.887.493.787.298.5117.7119.0100.095.7109.7115.4107.6109.9114.3121.7122.7123.0140.8151.1150.0134.7124.3156.2156.9120.0113.8127.6130.9121.0140.4133.2135.0129.9138.9143.4135.6147.0115.0106.3110.0106.2136.6148.7137.9133.8134.6114.6108.0107.899.097.1110.1111.4129.4118.3109.9137.7226.9208.7235.9200.6169.9180.4134.3126.2212.3193.0162.3199.7212.3168.5149.7189.7144.7145.1105.9104.8141.9176.0166.2130.6122.4122.4123.3162.9115.0131.0