Overview

Dataset statistics

Number of variables22
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory204.0 B

Variable types

Numeric22

Dataset

Description한국산업표준 기본현황 및 표준활동에 대한 통계정보 : 분야별 한국산업표준(KS) 현황 (연도,기본(A),기계(B),전기전자(C),금속(D),광산(E),건설(F),일용품(G),식품(H),환경(I),생물(J),섬유(K),요업(L),화학(M),의료(P),품질경영(Q),수송기계(R),서비스(S),물류(T),조선(V),항공우주(W),정보(X))
URLhttps://www.data.go.kr/data/15065276/fileData.do

Alerts

연도 has unique valuesUnique
기본(A) has unique valuesUnique
전기전자(C) has unique valuesUnique
금속(D) has unique valuesUnique
정보(X) has unique valuesUnique
환경(I) has 8 (36.4%) zerosZeros
생물(J) has 8 (36.4%) zerosZeros
품질경영(Q) has 8 (36.4%) zerosZeros
서비스(S) has 7 (31.8%) zerosZeros
물류(T) has 8 (36.4%) zerosZeros

Reproduction

Analysis started2023-12-12 21:44:53.081377
Analysis finished2023-12-12 21:44:53.286823
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.5
Minimum2001
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:53.350579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2002.05
Q12006.25
median2011.5
Q32016.75
95-th percentile2020.95
Maximum2022
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.003228231
Kurtosis-1.2
Mean2011.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum44253
Variance42.166667
MonotonicityStrictly increasing
2023-12-13T06:44:53.478878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2001 1
 
4.5%
2013 1
 
4.5%
2022 1
 
4.5%
2021 1
 
4.5%
2020 1
 
4.5%
2019 1
 
4.5%
2018 1
 
4.5%
2017 1
 
4.5%
2016 1
 
4.5%
2015 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
2001 1
4.5%
2002 1
4.5%
2003 1
4.5%
2004 1
4.5%
2005 1
4.5%
2006 1
4.5%
2007 1
4.5%
2008 1
4.5%
2009 1
4.5%
2010 1
4.5%
ValueCountFrequency (%)
2022 1
4.5%
2021 1
4.5%
2020 1
4.5%
2019 1
4.5%
2018 1
4.5%
2017 1
4.5%
2016 1
4.5%
2015 1
4.5%
2014 1
4.5%
2013 1
4.5%

기본(A)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean777.81818
Minimum591
Maximum1130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:53.622903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum591
5-th percentile663.35
Q1681
median697.5
Q3808.75
95-th percentile1107.1
Maximum1130
Range539
Interquartile range (IQR)127.75

Descriptive statistics

Standard deviation159.22839
Coefficient of variation (CV)0.20471158
Kurtosis0.56025889
Mean777.81818
Median Absolute Deviation (MAD)30
Skewness1.3499221
Sum17112
Variance25353.68
MonotonicityNot monotonic
2023-12-13T06:44:53.768966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
591 1
 
4.5%
693 1
 
4.5%
702 1
 
4.5%
692 1
 
4.5%
685 1
 
4.5%
684 1
 
4.5%
680 1
 
4.5%
663 1
 
4.5%
670 1
 
4.5%
675 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
591 1
4.5%
663 1
4.5%
670 1
4.5%
675 1
4.5%
678 1
4.5%
680 1
4.5%
684 1
4.5%
685 1
4.5%
688 1
4.5%
692 1
4.5%
ValueCountFrequency (%)
1130 1
4.5%
1108 1
4.5%
1090 1
4.5%
982 1
4.5%
905 1
4.5%
817 1
4.5%
784 1
4.5%
748 1
4.5%
730 1
4.5%
717 1
4.5%

기계(B)
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3422.7273
Minimum1943
Maximum4201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:53.919072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1943
5-th percentile2507.95
Q13124.5
median3226
Q34084.25
95-th percentile4170.9
Maximum4201
Range2258
Interquartile range (IQR)959.75

Descriptive statistics

Standard deviation599.88913
Coefficient of variation (CV)0.17526641
Kurtosis0.18928593
Mean3422.7273
Median Absolute Deviation (MAD)212.5
Skewness-0.42217569
Sum75300
Variance359866.97
MonotonicityNot monotonic
2023-12-13T06:44:54.069534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3111 2
 
9.1%
1943 1
 
4.5%
2481 1
 
4.5%
3246 1
 
4.5%
3266 1
 
4.5%
3206 1
 
4.5%
3148 1
 
4.5%
3122 1
 
4.5%
3132 1
 
4.5%
3180 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
1943 1
4.5%
2481 1
4.5%
3020 1
4.5%
3111 2
9.1%
3122 1
4.5%
3132 1
4.5%
3148 1
4.5%
3180 1
4.5%
3197 1
4.5%
3206 1
4.5%
ValueCountFrequency (%)
4201 1
4.5%
4172 1
4.5%
4150 1
4.5%
4149 1
4.5%
4116 1
4.5%
4098 1
4.5%
4043 1
4.5%
3763 1
4.5%
3445 1
4.5%
3266 1
4.5%

전기전자(C)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3304.5909
Minimum1342
Maximum3914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:54.209582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1342
5-th percentile1892.55
Q13183
median3462.5
Q33732.5
95-th percentile3870.9
Maximum3914
Range2572
Interquartile range (IQR)549.5

Descriptive statistics

Standard deviation662.11851
Coefficient of variation (CV)0.20036323
Kurtosis3.1935895
Mean3304.5909
Median Absolute Deviation (MAD)280
Skewness-1.8366803
Sum72701
Variance438400.92
MonotonicityNot monotonic
2023-12-13T06:44:54.367398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1342 1
 
4.5%
3348 1
 
4.5%
3914 1
 
4.5%
3814 1
 
4.5%
3733 1
 
4.5%
3731 1
 
4.5%
3690 1
 
4.5%
3577 1
 
4.5%
3492 1
 
4.5%
3433 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1342 1
4.5%
1861 1
4.5%
2492 1
4.5%
2798 1
4.5%
3032 1
4.5%
3131 1
4.5%
3339 1
4.5%
3348 1
4.5%
3395 1
4.5%
3429 1
4.5%
ValueCountFrequency (%)
3914 1
4.5%
3873 1
4.5%
3831 1
4.5%
3814 1
4.5%
3752 1
4.5%
3733 1
4.5%
3731 1
4.5%
3694 1
4.5%
3690 1
4.5%
3577 1
4.5%

금속(D)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1375.2727
Minimum965
Maximum1654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:54.518678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum965
5-th percentile1180.5
Q11210.75
median1266.5
Q31631
95-th percentile1651.6
Maximum1654
Range689
Interquartile range (IQR)420.25

Descriptive statistics

Standard deviation217.48414
Coefficient of variation (CV)0.15813892
Kurtosis-1.4159933
Mean1375.2727
Median Absolute Deviation (MAD)102
Skewness0.11719468
Sum30256
Variance47299.351
MonotonicityNot monotonic
2023-12-13T06:44:54.657044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
965 1
 
4.5%
1288 1
 
4.5%
1210 1
 
4.5%
1190 1
 
4.5%
1180 1
 
4.5%
1213 1
 
4.5%
1222 1
 
4.5%
1204 1
 
4.5%
1200 1
 
4.5%
1216 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
965 1
4.5%
1180 1
4.5%
1190 1
4.5%
1200 1
4.5%
1204 1
4.5%
1210 1
4.5%
1213 1
4.5%
1216 1
4.5%
1217 1
4.5%
1222 1
4.5%
ValueCountFrequency (%)
1654 1
4.5%
1652 1
4.5%
1644 1
4.5%
1641 1
4.5%
1633 1
4.5%
1632 1
4.5%
1628 1
4.5%
1572 1
4.5%
1466 1
4.5%
1384 1
4.5%

광산(E)
Real number (ℝ)

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386.22727
Minimum278
Maximum447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:54.795469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum278
5-th percentile339.25
Q1350.25
median359.5
Q3434
95-th percentile446.65
Maximum447
Range169
Interquartile range (IQR)83.75

Descriptive statistics

Standard deviation48.639521
Coefficient of variation (CV)0.12593497
Kurtosis-0.96584296
Mean386.22727
Median Absolute Deviation (MAD)41
Skewness-0.23197588
Sum8497
Variance2365.803
MonotonicityNot monotonic
2023-12-13T06:44:54.935723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
349 2
 
9.1%
434 2
 
9.1%
447 2
 
9.1%
354 2
 
9.1%
278 1
 
4.5%
358 1
 
4.5%
339 1
 
4.5%
344 1
 
4.5%
348 1
 
4.5%
357 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
278 1
4.5%
339 1
4.5%
344 1
4.5%
348 1
4.5%
349 2
9.1%
354 2
9.1%
356 1
4.5%
357 1
4.5%
358 1
4.5%
361 1
4.5%
ValueCountFrequency (%)
447 2
9.1%
440 1
4.5%
438 1
4.5%
435 1
4.5%
434 2
9.1%
429 1
4.5%
425 1
4.5%
421 1
4.5%
361 1
4.5%
358 1
4.5%

건설(F)
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean789.68182
Minimum635
Maximum861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:55.110323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum635
5-th percentile677.4
Q1774.25
median784.5
Q3828.25
95-th percentile857.65
Maximum861
Range226
Interquartile range (IQR)54

Descriptive statistics

Standard deviation55.316739
Coefficient of variation (CV)0.070049401
Kurtosis2.2501096
Mean789.68182
Median Absolute Deviation (MAD)20.5
Skewness-1.2263228
Sum17373
Variance3059.9416
MonotonicityNot monotonic
2023-12-13T06:44:55.273708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
774 2
 
9.1%
851 2
 
9.1%
784 2
 
9.1%
635 1
 
4.5%
808 1
 
4.5%
785 1
 
4.5%
782 1
 
4.5%
775 1
 
4.5%
778 1
 
4.5%
770 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
635 1
4.5%
674 1
4.5%
742 1
4.5%
770 1
4.5%
774 2
9.1%
775 1
4.5%
778 1
4.5%
782 1
4.5%
784 2
9.1%
785 1
4.5%
ValueCountFrequency (%)
861 1
4.5%
858 1
4.5%
851 2
9.1%
845 1
4.5%
833 1
4.5%
814 1
4.5%
808 1
4.5%
802 1
4.5%
793 1
4.5%
785 1
4.5%

일용품(G)
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314.5
Minimum251
Maximum383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:55.419938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum251
5-th percentile259
Q1268.5
median293
Q3369
95-th percentile382.9
Maximum383
Range132
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation51.02917
Coefficient of variation (CV)0.16225491
Kurtosis-1.8436437
Mean314.5
Median Absolute Deviation (MAD)34
Skewness0.26381872
Sum6919
Variance2603.9762
MonotonicityNot monotonic
2023-12-13T06:44:55.578330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
383 2
 
9.1%
302 2
 
9.1%
259 2
 
9.1%
279 1
 
4.5%
282 1
 
4.5%
273 1
 
4.5%
264 1
 
4.5%
283 1
 
4.5%
284 1
 
4.5%
263 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
251 1
4.5%
259 2
9.1%
263 1
4.5%
264 1
4.5%
267 1
4.5%
273 1
4.5%
279 1
4.5%
282 1
4.5%
283 1
4.5%
284 1
4.5%
ValueCountFrequency (%)
383 2
9.1%
381 1
4.5%
376 1
4.5%
371 1
4.5%
370 1
4.5%
366 1
4.5%
363 1
4.5%
358 1
4.5%
302 2
9.1%
284 1
4.5%

식품(H)
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean501.5
Minimum220
Maximum585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:55.710214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile305.75
Q1492
median531
Q3562.5
95-th percentile579.95
Maximum585
Range365
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation93.987208
Coefficient of variation (CV)0.18741218
Kurtosis3.2450118
Mean501.5
Median Absolute Deviation (MAD)36.5
Skewness-1.8348863
Sum11033
Variance8833.5952
MonotonicityNot monotonic
2023-12-13T06:44:55.910287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
546 2
 
9.1%
220 1
 
4.5%
301 1
 
4.5%
585 1
 
4.5%
579 1
 
4.5%
580 1
 
4.5%
573 1
 
4.5%
571 1
 
4.5%
564 1
 
4.5%
558 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
220 1
4.5%
301 1
4.5%
396 1
4.5%
433 1
4.5%
435 1
4.5%
490 1
4.5%
498 1
4.5%
502 1
4.5%
513 1
4.5%
524 1
4.5%
ValueCountFrequency (%)
585 1
4.5%
580 1
4.5%
579 1
4.5%
573 1
4.5%
571 1
4.5%
564 1
4.5%
558 1
4.5%
557 1
4.5%
546 2
9.1%
537 1
4.5%

환경(I)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.63636
Minimum0
Maximum944
Zeros8
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:56.053750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median680.5
Q3728.5
95-th percentile932.35
Maximum944
Range944
Interquartile range (IQR)728.5

Descriptive statistics

Standard deviation373.93118
Coefficient of variation (CV)0.78949002
Kurtosis-1.7109309
Mean473.63636
Median Absolute Deviation (MAD)104.5
Skewness-0.46619182
Sum10420
Variance139824.53
MonotonicityNot monotonic
2023-12-13T06:44:56.194675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 8
36.4%
638 1
 
4.5%
653 1
 
4.5%
672 1
 
4.5%
691 1
 
4.5%
715 1
 
4.5%
940 1
 
4.5%
944 1
 
4.5%
689 1
 
4.5%
703 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
0 8
36.4%
638 1
 
4.5%
653 1
 
4.5%
672 1
 
4.5%
689 1
 
4.5%
691 1
 
4.5%
703 1
 
4.5%
713 1
 
4.5%
715 1
 
4.5%
733 1
 
4.5%
ValueCountFrequency (%)
944 1
4.5%
940 1
4.5%
787 1
4.5%
783 1
4.5%
759 1
4.5%
733 1
4.5%
715 1
4.5%
713 1
4.5%
703 1
4.5%
691 1
4.5%

생물(J)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.227273
Minimum0
Maximum84
Zeros8
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:56.309063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median76
Q378
95-th percentile82.8
Maximum84
Range84
Interquartile range (IQR)78

Descriptive statistics

Standard deviation38.208615
Coefficient of variation (CV)0.77616762
Kurtosis-1.7969003
Mean49.227273
Median Absolute Deviation (MAD)5
Skewness-0.58864488
Sum1083
Variance1459.8983
MonotonicityNot monotonic
2023-12-13T06:44:56.440223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 8
36.4%
78 6
27.3%
76 3
 
13.6%
68 1
 
4.5%
73 1
 
4.5%
79 1
 
4.5%
84 1
 
4.5%
83 1
 
4.5%
ValueCountFrequency (%)
0 8
36.4%
68 1
 
4.5%
73 1
 
4.5%
76 3
 
13.6%
78 6
27.3%
79 1
 
4.5%
83 1
 
4.5%
84 1
 
4.5%
ValueCountFrequency (%)
84 1
 
4.5%
83 1
 
4.5%
79 1
 
4.5%
78 6
27.3%
76 3
 
13.6%
73 1
 
4.5%
68 1
 
4.5%
0 8
36.4%

섬유(K)
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean838.81818
Minimum580
Maximum944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:56.576351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum580
5-th percentile667.85
Q1798.75
median874.5
Q3889.25
95-th percentile914.4
Maximum944
Range364
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation86.69302
Coefficient of variation (CV)0.10335138
Kurtosis2.9808485
Mean838.81818
Median Absolute Deviation (MAD)28
Skewness-1.6939081
Sum18454
Variance7515.6797
MonotonicityNot monotonic
2023-12-13T06:44:57.002111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
788 2
 
9.1%
863 2
 
9.1%
887 2
 
9.1%
580 1
 
4.5%
884 1
 
4.5%
944 1
 
4.5%
902 1
 
4.5%
915 1
 
4.5%
903 1
 
4.5%
876 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
580 1
4.5%
664 1
4.5%
741 1
4.5%
788 2
9.1%
793 1
4.5%
816 1
4.5%
823 1
4.5%
863 2
9.1%
873 1
4.5%
876 1
4.5%
ValueCountFrequency (%)
944 1
4.5%
915 1
4.5%
903 1
4.5%
902 1
4.5%
891 1
4.5%
890 1
4.5%
887 2
9.1%
884 1
4.5%
883 1
4.5%
876 1
4.5%

요업(L)
Real number (ℝ)

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461.63636
Minimum365
Maximum525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:57.107775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365
5-th percentile408.35
Q1445.5
median470
Q3484.5
95-th percentile497.95
Maximum525
Range160
Interquartile range (IQR)39

Descriptive statistics

Standard deviation37.101592
Coefficient of variation (CV)0.080369735
Kurtosis0.8374012
Mean461.63636
Median Absolute Deviation (MAD)16
Skewness-0.89487658
Sum10156
Variance1376.5281
MonotonicityNot monotonic
2023-12-13T06:44:57.225333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
464 2
 
9.1%
497 2
 
9.1%
485 2
 
9.1%
483 2
 
9.1%
475 1
 
4.5%
498 1
 
4.5%
466 1
 
4.5%
474 1
 
4.5%
525 1
 
4.5%
365 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
365 1
4.5%
408 1
4.5%
415 1
4.5%
416 1
4.5%
423 1
4.5%
443 1
4.5%
453 1
4.5%
458 1
4.5%
464 2
9.1%
466 1
4.5%
ValueCountFrequency (%)
525 1
4.5%
498 1
4.5%
497 2
9.1%
485 2
9.1%
483 2
9.1%
479 1
4.5%
475 1
4.5%
474 1
4.5%
466 1
4.5%
464 2
9.1%

화학(M)
Real number (ℝ)

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3358.3636
Minimum2248
Maximum4091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:57.337096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2248
5-th percentile3021.55
Q13152
median3168
Q33492.25
95-th percentile4085.4
Maximum4091
Range1843
Interquartile range (IQR)340.25

Descriptive statistics

Standard deviation422.46764
Coefficient of variation (CV)0.12579568
Kurtosis1.2965014
Mean3358.3636
Median Absolute Deviation (MAD)214.5
Skewness-0.16774341
Sum73884
Variance178478.91
MonotonicityNot monotonic
2023-12-13T06:44:57.447253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3152 3
 
13.6%
3460 2
 
9.1%
3153 2
 
9.1%
2248 1
 
4.5%
3501 1
 
4.5%
3164 1
 
4.5%
3172 1
 
4.5%
3138 1
 
4.5%
3135 1
 
4.5%
3127 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
2248 1
 
4.5%
3016 1
 
4.5%
3127 1
 
4.5%
3135 1
 
4.5%
3138 1
 
4.5%
3152 3
13.6%
3153 2
9.1%
3164 1
 
4.5%
3172 1
 
4.5%
3445 1
 
4.5%
ValueCountFrequency (%)
4091 1
4.5%
4090 1
4.5%
3998 1
4.5%
3906 1
4.5%
3705 1
4.5%
3501 1
4.5%
3466 1
4.5%
3460 2
9.1%
3445 1
4.5%
3172 1
4.5%

의료(P)
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.72727
Minimum341
Maximum894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:57.558970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum341
5-th percentile442.9
Q1695.5
median772.5
Q3806.5
95-th percentile876.95
Maximum894
Range553
Interquartile range (IQR)111

Descriptive statistics

Standard deviation140.39881
Coefficient of variation (CV)0.19292779
Kurtosis1.987314
Mean727.72727
Median Absolute Deviation (MAD)49.5
Skewness-1.4792618
Sum16010
Variance19711.827
MonotonicityNot monotonic
2023-12-13T06:44:57.681912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
808 2
 
9.1%
341 1
 
4.5%
439 1
 
4.5%
877 1
 
4.5%
894 1
 
4.5%
876 1
 
4.5%
827 1
 
4.5%
802 1
 
4.5%
801 1
 
4.5%
793 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
341 1
4.5%
439 1
4.5%
517 1
4.5%
612 1
4.5%
679 1
4.5%
693 1
4.5%
703 1
4.5%
728 1
4.5%
733 1
4.5%
737 1
4.5%
ValueCountFrequency (%)
894 1
4.5%
877 1
4.5%
876 1
4.5%
827 1
4.5%
808 2
9.1%
802 1
4.5%
801 1
4.5%
797 1
4.5%
793 1
4.5%
785 1
4.5%

품질경영(Q)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.590909
Minimum0
Maximum158
Zeros8
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:57.814946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median121.5
Q3132.75
95-th percentile151
Maximum158
Range158
Interquartile range (IQR)132.75

Descriptive statistics

Standard deviation66.495012
Coefficient of variation (CV)0.78607752
Kurtosis-1.7660491
Mean84.590909
Median Absolute Deviation (MAD)27
Skewness-0.50513615
Sum1861
Variance4421.5866
MonotonicityNot monotonic
2023-12-13T06:44:57.950150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 8
36.4%
111 2
 
9.1%
151 2
 
9.1%
122 1
 
4.5%
131 1
 
4.5%
121 1
 
4.5%
124 1
 
4.5%
127 1
 
4.5%
132 1
 
4.5%
133 1
 
4.5%
Other values (3) 3
 
13.6%
ValueCountFrequency (%)
0 8
36.4%
111 2
 
9.1%
121 1
 
4.5%
122 1
 
4.5%
124 1
 
4.5%
127 1
 
4.5%
131 1
 
4.5%
132 1
 
4.5%
133 1
 
4.5%
143 1
 
4.5%
ValueCountFrequency (%)
158 1
4.5%
151 2
9.1%
146 1
4.5%
143 1
4.5%
133 1
4.5%
132 1
4.5%
131 1
4.5%
127 1
4.5%
124 1
4.5%
122 1
4.5%

수송기계(R)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean877.27273
Minimum644
Maximum1080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:58.070561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum644
5-th percentile720.35
Q1749
median791
Q31050
95-th percentile1066.9
Maximum1080
Range436
Interquartile range (IQR)301

Descriptive statistics

Standard deviation154.38054
Coefficient of variation (CV)0.17597782
Kurtosis-1.7964024
Mean877.27273
Median Absolute Deviation (MAD)84.5
Skewness0.2172651
Sum19300
Variance23833.351
MonotonicityNot monotonic
2023-12-13T06:44:58.186748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1065 3
 
13.6%
644 1
 
4.5%
769 1
 
4.5%
780 1
 
4.5%
768 1
 
4.5%
745 1
 
4.5%
733 1
 
4.5%
727 1
 
4.5%
720 1
 
4.5%
735 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
644 1
4.5%
720 1
4.5%
727 1
4.5%
733 1
4.5%
735 1
4.5%
745 1
4.5%
761 1
4.5%
768 1
4.5%
769 1
4.5%
773 1
4.5%
ValueCountFrequency (%)
1080 1
 
4.5%
1067 1
 
4.5%
1065 3
13.6%
1052 1
 
4.5%
1044 1
 
4.5%
1036 1
 
4.5%
980 1
 
4.5%
889 1
 
4.5%
802 1
 
4.5%
780 1
 
4.5%

서비스(S)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.818182
Minimum0
Maximum131
Zeros7
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:58.293468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median112.5
Q3127.5
95-th percentile130.95
Maximum131
Range131
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation57.831147
Coefficient of variation (CV)0.70682513
Kurtosis-1.452732
Mean81.818182
Median Absolute Deviation (MAD)17.5
Skewness-0.76758731
Sum1800
Variance3344.4416
MonotonicityNot monotonic
2023-12-13T06:44:58.419441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 7
31.8%
130 3
13.6%
131 2
 
9.1%
98 1
 
4.5%
108 1
 
4.5%
111 1
 
4.5%
113 1
 
4.5%
116 1
 
4.5%
112 1
 
4.5%
115 1
 
4.5%
Other values (3) 3
13.6%
ValueCountFrequency (%)
0 7
31.8%
98 1
 
4.5%
108 1
 
4.5%
111 1
 
4.5%
112 1
 
4.5%
113 1
 
4.5%
115 1
 
4.5%
116 1
 
4.5%
121 1
 
4.5%
126 1
 
4.5%
ValueCountFrequency (%)
131 2
9.1%
130 3
13.6%
128 1
 
4.5%
126 1
 
4.5%
121 1
 
4.5%
116 1
 
4.5%
115 1
 
4.5%
113 1
 
4.5%
112 1
 
4.5%
111 1
 
4.5%

물류(T)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.81818
Minimum0
Maximum326
Zeros8
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:58.526564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median313
Q3316
95-th percentile320.95
Maximum326
Range326
Interquartile range (IQR)316

Descriptive statistics

Standard deviation155.43476
Coefficient of variation (CV)0.77400742
Kurtosis-1.8012455
Mean200.81818
Median Absolute Deviation (MAD)7.5
Skewness-0.60680334
Sum4418
Variance24159.965
MonotonicityNot monotonic
2023-12-13T06:44:58.663687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 8
36.4%
314 3
 
13.6%
319 2
 
9.1%
313 2
 
9.1%
316 2
 
9.1%
304 1
 
4.5%
309 1
 
4.5%
321 1
 
4.5%
326 1
 
4.5%
320 1
 
4.5%
ValueCountFrequency (%)
0 8
36.4%
304 1
 
4.5%
309 1
 
4.5%
313 2
 
9.1%
314 3
 
13.6%
316 2
 
9.1%
319 2
 
9.1%
320 1
 
4.5%
321 1
 
4.5%
326 1
 
4.5%
ValueCountFrequency (%)
326 1
 
4.5%
321 1
 
4.5%
320 1
 
4.5%
319 2
 
9.1%
316 2
 
9.1%
314 3
 
13.6%
313 2
 
9.1%
309 1
 
4.5%
304 1
 
4.5%
0 8
36.4%

조선(V)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean633.54545
Minimum443
Maximum849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:58.889704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443
5-th percentile448.7
Q1499
median558
Q3831.25
95-th percentile842.7
Maximum849
Range406
Interquartile range (IQR)332.25

Descriptive statistics

Standard deviation162.10277
Coefficient of variation (CV)0.25586604
Kurtosis-1.8017326
Mean633.54545
Median Absolute Deviation (MAD)103
Skewness0.31435624
Sum13938
Variance26277.307
MonotonicityNot monotonic
2023-12-13T06:44:59.056457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
834 3
 
13.6%
534 1
 
4.5%
448 1
 
4.5%
522 1
 
4.5%
510 1
 
4.5%
502 1
 
4.5%
498 1
 
4.5%
487 1
 
4.5%
472 1
 
4.5%
462 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
443 1
4.5%
448 1
4.5%
462 1
4.5%
472 1
4.5%
487 1
4.5%
498 1
4.5%
502 1
4.5%
510 1
4.5%
514 1
4.5%
522 1
4.5%
ValueCountFrequency (%)
849 1
 
4.5%
843 1
 
4.5%
837 1
 
4.5%
834 3
13.6%
823 1
 
4.5%
784 1
 
4.5%
689 1
 
4.5%
637 1
 
4.5%
582 1
 
4.5%
534 1
 
4.5%

항공우주(W)
Real number (ℝ)

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean357.04545
Minimum203
Maximum522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:59.199765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203
5-th percentile203.25
Q1209
median355
Q3482.25
95-th percentile521
Maximum522
Range319
Interquartile range (IQR)273.25

Descriptive statistics

Standard deviation127.91347
Coefficient of variation (CV)0.35825541
Kurtosis-1.7278188
Mean357.04545
Median Absolute Deviation (MAD)141
Skewness0.00025890359
Sum7855
Variance16361.855
MonotonicityNot monotonic
2023-12-13T06:44:59.340621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
208 3
13.6%
209 2
 
9.1%
203 2
 
9.1%
521 2
 
9.1%
256 1
 
4.5%
513 1
 
4.5%
342 1
 
4.5%
321 1
 
4.5%
384 1
 
4.5%
522 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
203 2
9.1%
208 3
13.6%
209 2
9.1%
256 1
 
4.5%
310 1
 
4.5%
321 1
 
4.5%
342 1
 
4.5%
368 1
 
4.5%
384 1
 
4.5%
434 1
 
4.5%
ValueCountFrequency (%)
522 1
4.5%
521 2
9.1%
513 1
4.5%
491 1
4.5%
486 1
4.5%
471 1
4.5%
467 1
4.5%
434 1
4.5%
384 1
4.5%
368 1
4.5%

정보(X)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1703.8182
Minimum813
Maximum2037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:44:59.463612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum813
5-th percentile1154.2
Q11616
median1774
Q31892.75
95-th percentile2000.8
Maximum2037
Range1224
Interquartile range (IQR)276.75

Descriptive statistics

Standard deviation286.72629
Coefficient of variation (CV)0.16828456
Kurtosis3.7588218
Mean1703.8182
Median Absolute Deviation (MAD)140.5
Skewness-1.7640489
Sum37484
Variance82211.965
MonotonicityNot monotonic
2023-12-13T06:44:59.609372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
813 1
 
4.5%
1600 1
 
4.5%
1903 1
 
4.5%
1840 1
 
4.5%
1811 1
 
4.5%
1780 1
 
4.5%
1733 1
 
4.5%
1679 1
 
4.5%
1662 1
 
4.5%
1581 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
813 1
4.5%
1141 1
4.5%
1405 1
4.5%
1581 1
4.5%
1600 1
4.5%
1609 1
4.5%
1637 1
4.5%
1662 1
4.5%
1679 1
4.5%
1733 1
4.5%
ValueCountFrequency (%)
2037 1
4.5%
2002 1
4.5%
1978 1
4.5%
1927 1
4.5%
1918 1
4.5%
1903 1
4.5%
1862 1
4.5%
1840 1
4.5%
1811 1
4.5%
1798 1
4.5%

Sample

연도기본(A)기계(B)전기전자(C)금속(D)광산(E)건설(F)일용품(G)식품(H)환경(I)생물(J)섬유(K)요업(L)화학(M)의료(P)품질경영(Q)수송기계(R)서비스(S)물류(T)조선(V)항공우주(W)정보(X)
0200159119431342965278635251220005803652248341064400534256813
120026882481186112173546742673010066440830164390773005823101141
220038173020249213844297423023960074141534605170889006373681405
320049053445279814664257743584330078841637056120980006894341637
4200598237633032157242180237643500793423390667901044007844711768
52006109040433131162843581437149000788443399870301036008234671798
62007113041503339165243483336651300816453409173301065008374861862
720081108420133951654434845363524008234584090737010809808434911918
8200971740983694164144785137049863868863479344569311110651083048345211927
9201073041163752164444785138150265378887464346072811110651113098345211978
연도기본(A)기계(B)전기전자(C)금속(D)광산(E)건설(F)일용품(G)식품(H)환경(I)생물(J)섬유(K)요업(L)화학(M)의료(P)품질경영(Q)수송기계(R)서비스(S)물류(T)조선(V)항공우주(W)정보(X)
1220136933197334812883548083025467157888347431537971218021123135143841600
1320146783180342912453567932795469407887346431537931247691153264483211609
1420156753132343312163587842635579447886346631278011277611213204433421581
1520166703111349212003617702595586897688448331528081327351283144622031662
1620176633122357712043577782595647037689048331528081337201263134722031679
1720186803111369012223497742845717137387648531358021437271303144872081733
1820196843148373112133497752835737337890348531388271517331303144982081780
1920206853206373311803487822645807597991549731528761467451313165022091811
2020216923266381411903447842735797838490249731728941517681313165102091840
2120227023246391412103397852825857878394449831648771587801303195222081903