Overview

Dataset statistics

Number of variables28
Number of observations26
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory257.1 B

Variable types

Numeric27
Categorical1

Dataset

Description국내 석유제폼의 산업별 소비량(농림수산업,광업,식품.담배업,섬유제품업,목재업,제지.인쇄업,화학제품업,요업,철강업,비철금속산업,기계조립업,수송장비업,기타제조업,건설업,기타에너지,발전,석유정제,개스제조,철도,도로,해운,항공,상업,가정,공공,기타) 단위 : 물량(천Bbl)
URLhttps://www.data.go.kr/data/15054603/fileData.do

Alerts

기타 is highly imbalanced (65.1%)Imbalance
석유정제 has 2 (7.7%) missing valuesMissing
년 has unique valuesUnique
농림수산업 has unique valuesUnique
광업 has unique valuesUnique
식품 담배업 has unique valuesUnique
섬유제품업 has unique valuesUnique
제지_인쇄업 has unique valuesUnique
화학제품업 has unique valuesUnique
요업 has unique valuesUnique
기계조립업 has unique valuesUnique
수송장비업 has unique valuesUnique
기타제조업 has unique valuesUnique
건설업 has unique valuesUnique
도로 has unique valuesUnique
해운 has unique valuesUnique
항공 has unique valuesUnique
가정 has unique valuesUnique
상업 has unique valuesUnique
발전 has unique valuesUnique
개스제조 has unique valuesUnique
공공 has unique valuesUnique
합계 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:30:35.296088
Analysis finished2023-12-12 15:30:35.561526
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.5
Minimum1997
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:35.627501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile1998.25
Q12003.25
median2009.5
Q32015.75
95-th percentile2020.75
Maximum2022
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.0038061853
Kurtosis-1.2
Mean2009.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum52247
Variance58.5
MonotonicityStrictly increasing
2023-12-13T00:30:35.793848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1997 1
 
3.8%
2011 1
 
3.8%
2022 1
 
3.8%
2021 1
 
3.8%
2020 1
 
3.8%
2019 1
 
3.8%
2018 1
 
3.8%
2017 1
 
3.8%
2016 1
 
3.8%
2015 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1997 1
3.8%
1998 1
3.8%
1999 1
3.8%
2000 1
3.8%
2001 1
3.8%
2002 1
3.8%
2003 1
3.8%
2004 1
3.8%
2005 1
3.8%
2006 1
3.8%
ValueCountFrequency (%)
2022 1
3.8%
2021 1
3.8%
2020 1
3.8%
2019 1
3.8%
2018 1
3.8%
2017 1
3.8%
2016 1
3.8%
2015 1
3.8%
2014 1
3.8%
2013 1
3.8%

농림수산업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16493.462
Minimum8747
Maximum26544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:35.936248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8747
5-th percentile8997.5
Q110521
median15561.5
Q321672.75
95-th percentile25971.5
Maximum26544
Range17797
Interquartile range (IQR)11151.75

Descriptive statistics

Standard deviation5975.9696
Coefficient of variation (CV)0.36232355
Kurtosis-1.2420295
Mean16493.462
Median Absolute Deviation (MAD)5453
Skewness0.28188216
Sum428830
Variance35712212
MonotonicityNot monotonic
2023-12-13T00:30:36.116889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
25193 1
 
3.8%
15207 1
 
3.8%
8939 1
 
3.8%
9795 1
 
3.8%
10971 1
 
3.8%
9846 1
 
3.8%
8747 1
 
3.8%
9173 1
 
3.8%
9843 1
 
3.8%
10371 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
8747 1
3.8%
8939 1
3.8%
9173 1
3.8%
9795 1
3.8%
9843 1
3.8%
9846 1
3.8%
10371 1
3.8%
10971 1
3.8%
11810 1
3.8%
14942 1
3.8%
ValueCountFrequency (%)
26544 1
3.8%
26231 1
3.8%
25193 1
3.8%
24905 1
3.8%
23917 1
3.8%
22498 1
3.8%
22100 1
3.8%
20391 1
3.8%
19089 1
3.8%
18032 1
3.8%

광업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean497.88462
Minimum274
Maximum711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:36.270913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum274
5-th percentile310.25
Q1397.25
median483.5
Q3609.75
95-th percentile691.25
Maximum711
Range437
Interquartile range (IQR)212.5

Descriptive statistics

Standard deviation123.60334
Coefficient of variation (CV)0.248257
Kurtosis-0.87211598
Mean497.88462
Median Absolute Deviation (MAD)88
Skewness0.15238794
Sum12945
Variance15277.786
MonotonicityNot monotonic
2023-12-13T00:30:36.431892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
391 1
 
3.8%
653 1
 
3.8%
701 1
 
3.8%
657 1
 
3.8%
486 1
 
3.8%
401 1
 
3.8%
396 1
 
3.8%
395 1
 
3.8%
437 1
 
3.8%
469 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
274 1
3.8%
293 1
3.8%
362 1
3.8%
389 1
3.8%
391 1
3.8%
395 1
3.8%
396 1
3.8%
401 1
3.8%
425 1
3.8%
437 1
3.8%
ValueCountFrequency (%)
711 1
3.8%
701 1
3.8%
662 1
3.8%
657 1
3.8%
653 1
3.8%
633 1
3.8%
627 1
3.8%
558 1
3.8%
550 1
3.8%
533 1
3.8%

식품 담배업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2907.7692
Minimum354
Maximum8211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:36.612294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum354
5-th percentile431
Q1643.5
median2385.5
Q34980.75
95-th percentile6640.25
Maximum8211
Range7857
Interquartile range (IQR)4337.25

Descriptive statistics

Standard deviation2406.6199
Coefficient of variation (CV)0.82765162
Kurtosis-0.97671094
Mean2907.7692
Median Absolute Deviation (MAD)1828
Skewness0.54794394
Sum75602
Variance5791819.5
MonotonicityNot monotonic
2023-12-13T00:30:36.811153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8211 1
 
3.8%
1486 1
 
3.8%
354 1
 
3.8%
390 1
 
3.8%
561 1
 
3.8%
554 1
 
3.8%
737 1
 
3.8%
681 1
 
3.8%
614 1
 
3.8%
600 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
354 1
3.8%
390 1
3.8%
554 1
3.8%
561 1
3.8%
600 1
3.8%
614 1
3.8%
631 1
3.8%
681 1
3.8%
737 1
3.8%
766 1
3.8%
ValueCountFrequency (%)
8211 1
3.8%
6868 1
3.8%
5957 1
3.8%
5790 1
3.8%
5121 1
3.8%
5072 1
3.8%
5004 1
3.8%
4911 1
3.8%
4668 1
3.8%
4326 1
3.8%

섬유제품업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4178.2308
Minimum156
Maximum10981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:37.027223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile178
Q1562.5
median2717
Q38382
95-th percentile10471
Maximum10981
Range10825
Interquartile range (IQR)7819.5

Descriptive statistics

Standard deviation4076.5684
Coefficient of variation (CV)0.97566857
Kurtosis-1.4372057
Mean4178.2308
Median Absolute Deviation (MAD)2356.5
Skewness0.54144006
Sum108634
Variance16618410
MonotonicityNot monotonic
2023-12-13T00:30:37.201768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
9478 1
 
3.8%
1776 1
 
3.8%
170 1
 
3.8%
156 1
 
3.8%
202 1
 
3.8%
266 1
 
3.8%
455 1
 
3.8%
693 1
 
3.8%
549 1
 
3.8%
604 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
156 1
3.8%
170 1
3.8%
202 1
3.8%
266 1
3.8%
455 1
3.8%
549 1
3.8%
554 1
3.8%
588 1
3.8%
604 1
3.8%
693 1
3.8%
ValueCountFrequency (%)
10981 1
3.8%
10526 1
3.8%
10306 1
3.8%
9858 1
3.8%
9610 1
3.8%
9478 1
3.8%
8558 1
3.8%
7854 1
3.8%
6402 1
3.8%
4936 1
3.8%

목재업
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.26923
Minimum25
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:37.352377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile29
Q148.5
median208.5
Q3420.5
95-th percentile537
Maximum599
Range574
Interquartile range (IQR)372

Descriptive statistics

Standard deviation195.20524
Coefficient of variation (CV)0.80907639
Kurtosis-1.2554371
Mean241.26923
Median Absolute Deviation (MAD)165.5
Skewness0.46286139
Sum6273
Variance38105.085
MonotonicityNot monotonic
2023-12-13T00:30:37.491723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
29 2
 
7.7%
599 1
 
3.8%
423 1
 
3.8%
48 1
 
3.8%
50 1
 
3.8%
47 1
 
3.8%
25 1
 
3.8%
33 1
 
3.8%
39 1
 
3.8%
65 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
25 1
3.8%
29 2
7.7%
33 1
3.8%
39 1
3.8%
47 1
3.8%
48 1
3.8%
50 1
3.8%
65 1
3.8%
112 1
3.8%
146 1
3.8%
ValueCountFrequency (%)
599 1
3.8%
539 1
3.8%
531 1
3.8%
528 1
3.8%
493 1
3.8%
446 1
3.8%
423 1
3.8%
413 1
3.8%
325 1
3.8%
264 1
3.8%

제지_인쇄업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3583.7692
Minimum220
Maximum9212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:37.628661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile227.75
Q1302
median2882
Q37088.5
95-th percentile8331
Maximum9212
Range8992
Interquartile range (IQR)6786.5

Descriptive statistics

Standard deviation3345.3723
Coefficient of variation (CV)0.93347871
Kurtosis-1.669463
Mean3583.7692
Median Absolute Deviation (MAD)2646.5
Skewness0.3033711
Sum93178
Variance11191516
MonotonicityNot monotonic
2023-12-13T00:30:37.759454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
9212 1
 
3.8%
1440 1
 
3.8%
220 1
 
3.8%
230 1
 
3.8%
261 1
 
3.8%
227 1
 
3.8%
314 1
 
3.8%
316 1
 
3.8%
298 1
 
3.8%
241 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
220 1
3.8%
227 1
3.8%
230 1
3.8%
241 1
3.8%
250 1
3.8%
261 1
3.8%
298 1
3.8%
314 1
3.8%
316 1
3.8%
395 1
3.8%
ValueCountFrequency (%)
9212 1
3.8%
8510 1
3.8%
7794 1
3.8%
7790 1
3.8%
7340 1
3.8%
7234 1
3.8%
7130 1
3.8%
6964 1
3.8%
6248 1
3.8%
5599 1
3.8%

화학제품업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382325.69
Minimum237038
Maximum548225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:38.201294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237038
5-th percentile248901.25
Q1288254.5
median368091.5
Q3480975
95-th percentile537278
Maximum548225
Range311187
Interquartile range (IQR)192720.5

Descriptive statistics

Standard deviation103342.81
Coefficient of variation (CV)0.27030047
Kurtosis-1.3854747
Mean382325.69
Median Absolute Deviation (MAD)86478.5
Skewness0.16436661
Sum9940468
Variance1.0679737 × 1010
MonotonicityNot monotonic
2023-12-13T00:30:38.326052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
237038 1
 
3.8%
395804 1
 
3.8%
548225 1
 
3.8%
544872 1
 
3.8%
491972 1
 
3.8%
514496 1
 
3.8%
514230 1
 
3.8%
513197 1
 
3.8%
490876 1
 
3.8%
451272 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
237038 1
3.8%
248698 1
3.8%
249511 1
3.8%
258457 1
3.8%
261299 1
3.8%
278315 1
3.8%
285398 1
3.8%
296824 1
3.8%
308328 1
3.8%
323678 1
3.8%
ValueCountFrequency (%)
548225 1
3.8%
544872 1
3.8%
514496 1
3.8%
514230 1
3.8%
513197 1
3.8%
491972 1
3.8%
490876 1
3.8%
451272 1
3.8%
442200 1
3.8%
426843 1
3.8%

요업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5538.7692
Minimum3006
Maximum10068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:38.455105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3006
5-th percentile3212
Q13561.25
median5878.5
Q36920
95-th percentile7704
Maximum10068
Range7062
Interquartile range (IQR)3358.75

Descriptive statistics

Standard deviation1927.2645
Coefficient of variation (CV)0.34795898
Kurtosis-0.78526455
Mean5538.7692
Median Absolute Deviation (MAD)1766.5
Skewness0.27929614
Sum144008
Variance3714348.3
MonotonicityNot monotonic
2023-12-13T00:30:38.570659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10068 1
 
3.8%
5712 1
 
3.8%
3156 1
 
3.8%
3388 1
 
3.8%
3634 1
 
3.8%
4047 1
 
3.8%
3507 1
 
3.8%
3398 1
 
3.8%
3820 1
 
3.8%
3537 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
3006 1
3.8%
3156 1
3.8%
3380 1
3.8%
3388 1
3.8%
3398 1
3.8%
3507 1
3.8%
3537 1
3.8%
3634 1
3.8%
3820 1
3.8%
4047 1
3.8%
ValueCountFrequency (%)
10068 1
3.8%
7717 1
3.8%
7665 1
3.8%
7433 1
3.8%
7362 1
3.8%
7014 1
3.8%
6930 1
3.8%
6890 1
3.8%
6886 1
3.8%
6716 1
3.8%

철강업
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2691.1154
Minimum558
Maximum7499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:38.687662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum558
5-th percentile632.75
Q1848.5
median1917.5
Q34116.5
95-th percentile6112
Maximum7499
Range6941
Interquartile range (IQR)3268

Descriptive statistics

Standard deviation2060.6554
Coefficient of variation (CV)0.7657254
Kurtosis-0.58441548
Mean2691.1154
Median Absolute Deviation (MAD)1271
Skewness0.6918998
Sum69969
Variance4246300.7
MonotonicityNot monotonic
2023-12-13T00:30:38.794395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
730 2
 
7.7%
5935 1
 
3.8%
4801 1
 
3.8%
558 1
 
3.8%
674 1
 
3.8%
694 1
 
3.8%
619 1
 
3.8%
838 1
 
3.8%
946 1
 
3.8%
880 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
558 1
3.8%
619 1
3.8%
674 1
3.8%
694 1
3.8%
730 2
7.7%
838 1
3.8%
880 1
3.8%
916 1
3.8%
946 1
3.8%
1136 1
3.8%
ValueCountFrequency (%)
7499 1
3.8%
6171 1
3.8%
5935 1
3.8%
4801 1
3.8%
4583 1
3.8%
4496 1
3.8%
4132 1
3.8%
4070 1
3.8%
3903 1
3.8%
3744 1
3.8%

비철금속산업
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean683.73077
Minimum234
Maximum1349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:38.908238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum234
5-th percentile248.75
Q1295.75
median633
Q3977.5
95-th percentile1214.75
Maximum1349
Range1115
Interquartile range (IQR)681.75

Descriptive statistics

Standard deviation383.94953
Coefficient of variation (CV)0.56155076
Kurtosis-1.5232867
Mean683.73077
Median Absolute Deviation (MAD)347
Skewness0.25802549
Sum17777
Variance147417.24
MonotonicityNot monotonic
2023-12-13T00:30:39.015476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1199 2
 
7.7%
985 1
 
3.8%
425 1
 
3.8%
354 1
 
3.8%
281 1
 
3.8%
313 1
 
3.8%
282 1
 
3.8%
290 1
 
3.8%
274 1
 
3.8%
254 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
234 1
3.8%
247 1
3.8%
254 1
3.8%
274 1
3.8%
281 1
3.8%
282 1
3.8%
290 1
3.8%
313 1
3.8%
326 1
3.8%
354 1
3.8%
ValueCountFrequency (%)
1349 1
3.8%
1220 1
3.8%
1199 2
7.7%
1158 1
3.8%
1133 1
3.8%
985 1
3.8%
955 1
3.8%
941 1
3.8%
913 1
3.8%
862 1
3.8%

기계조립업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2442.6923
Minimum633
Maximum6953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:39.122618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum633
5-th percentile634.25
Q1686.5
median2083.5
Q33429.5
95-th percentile5683.5
Maximum6953
Range6320
Interquartile range (IQR)2743

Descriptive statistics

Standard deviation1769.3511
Coefficient of variation (CV)0.72434465
Kurtosis0.26191713
Mean2442.6923
Median Absolute Deviation (MAD)1385.5
Skewness0.884846
Sum63510
Variance3130603.3
MonotonicityNot monotonic
2023-12-13T00:30:39.238704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6953 1
 
3.8%
1730 1
 
3.8%
638 1
 
3.8%
645 1
 
3.8%
635 1
 
3.8%
633 1
 
3.8%
634 1
 
3.8%
649 1
 
3.8%
757 1
 
3.8%
663 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
633 1
3.8%
634 1
3.8%
635 1
3.8%
638 1
3.8%
645 1
3.8%
649 1
3.8%
663 1
3.8%
757 1
3.8%
1282 1
3.8%
1379 1
3.8%
ValueCountFrequency (%)
6953 1
3.8%
5854 1
3.8%
5172 1
3.8%
4055 1
3.8%
3724 1
3.8%
3632 1
3.8%
3434 1
3.8%
3416 1
3.8%
3304 1
3.8%
3236 1
3.8%

수송장비업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2805.3077
Minimum1134
Maximum6896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:39.365166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1134
5-th percentile1372
Q11620.25
median1880
Q33578
95-th percentile6191.5
Maximum6896
Range5762
Interquartile range (IQR)1957.75

Descriptive statistics

Standard deviation1754.5068
Coefficient of variation (CV)0.62542401
Kurtosis0.12203546
Mean2805.3077
Median Absolute Deviation (MAD)456.5
Skewness1.2355407
Sum72938
Variance3078294.1
MonotonicityNot monotonic
2023-12-13T00:30:39.496203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3836 1
 
3.8%
2443 1
 
3.8%
1783 1
 
3.8%
1478 1
 
3.8%
1611 1
 
3.8%
1543 1
 
3.8%
1472 1
 
3.8%
1822 1
 
3.8%
1862 1
 
3.8%
1743 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1134 1
3.8%
1371 1
3.8%
1375 1
3.8%
1472 1
3.8%
1478 1
3.8%
1543 1
3.8%
1611 1
3.8%
1648 1
3.8%
1743 1
3.8%
1783 1
3.8%
ValueCountFrequency (%)
6896 1
3.8%
6386 1
3.8%
5608 1
3.8%
5572 1
3.8%
5462 1
3.8%
4303 1
3.8%
3836 1
3.8%
2804 1
3.8%
2720 1
3.8%
2443 1
3.8%

기타제조업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8999.7692
Minimum5603
Maximum12223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:39.609305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5603
5-th percentile5834.75
Q18300.5
median9098.5
Q310315
95-th percentile10647
Maximum12223
Range6620
Interquartile range (IQR)2014.5

Descriptive statistics

Standard deviation1617.1113
Coefficient of variation (CV)0.17968364
Kurtosis0.1395711
Mean8999.7692
Median Absolute Deviation (MAD)1108
Skewness-0.5405863
Sum233994
Variance2615048.9
MonotonicityNot monotonic
2023-12-13T00:30:39.721149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
12223 1
 
3.8%
9178 1
 
3.8%
9899 1
 
3.8%
10383 1
 
3.8%
10656 1
 
3.8%
10620 1
 
3.8%
10323 1
 
3.8%
10342 1
 
3.8%
9251 1
 
3.8%
8302 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
5603 1
3.8%
5745 1
3.8%
6104 1
3.8%
7010 1
3.8%
7785 1
3.8%
8116 1
3.8%
8300 1
3.8%
8302 1
3.8%
8458 1
3.8%
8503 1
3.8%
ValueCountFrequency (%)
12223 1
3.8%
10656 1
3.8%
10620 1
3.8%
10383 1
3.8%
10342 1
3.8%
10339 1
3.8%
10323 1
3.8%
10291 1
3.8%
10122 1
3.8%
9899 1
3.8%

건설업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15428.808
Minimum12260
Maximum18148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:39.833676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12260
5-th percentile12915
Q114379.25
median15557.5
Q316555.75
95-th percentile17682
Maximum18148
Range5888
Interquartile range (IQR)2176.5

Descriptive statistics

Standard deviation1518.5387
Coefficient of variation (CV)0.098422297
Kurtosis-0.43433151
Mean15428.808
Median Absolute Deviation (MAD)1074
Skewness-0.24211549
Sum401149
Variance2305959.8
MonotonicityNot monotonic
2023-12-13T00:30:39.947633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
15125 1
 
3.8%
16608 1
 
3.8%
13113 1
 
3.8%
14340 1
 
3.8%
15242 1
 
3.8%
15826 1
 
3.8%
16031 1
 
3.8%
17084 1
 
3.8%
17829 1
 
3.8%
16399 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
12260 1
3.8%
12849 1
3.8%
13113 1
3.8%
13648 1
3.8%
14162 1
3.8%
14212 1
3.8%
14340 1
3.8%
14497 1
3.8%
14890 1
3.8%
15010 1
3.8%
ValueCountFrequency (%)
18148 1
3.8%
17829 1
3.8%
17241 1
3.8%
17084 1
3.8%
17070 1
3.8%
16645 1
3.8%
16608 1
3.8%
16399 1
3.8%
16031 1
3.8%
15914 1
3.8%

기타에너지
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5700.2692
Minimum3252
Maximum10428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:40.071621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3252
5-th percentile3772.25
Q14497.75
median5395
Q36346.75
95-th percentile9804.75
Maximum10428
Range7176
Interquartile range (IQR)1849

Descriptive statistics

Standard deviation1762.3937
Coefficient of variation (CV)0.30917728
Kurtosis2.4522491
Mean5700.2692
Median Absolute Deviation (MAD)1010
Skewness1.4296059
Sum148207
Variance3106031.7
MonotonicityNot monotonic
2023-12-13T00:30:40.189899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
5395 2
 
7.7%
3252 1
 
3.8%
4125 1
 
3.8%
10418 1
 
3.8%
10428 1
 
3.8%
6541 1
 
3.8%
6730 1
 
3.8%
6400 1
 
3.8%
7965 1
 
3.8%
5563 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
3252 1
3.8%
3716 1
3.8%
3941 1
3.8%
4049 1
3.8%
4075 1
3.8%
4125 1
3.8%
4329 1
3.8%
5004 1
3.8%
5044 1
3.8%
5073 1
3.8%
ValueCountFrequency (%)
10428 1
3.8%
10418 1
3.8%
7965 1
3.8%
6730 1
3.8%
6541 1
3.8%
6410 1
3.8%
6400 1
3.8%
6187 1
3.8%
6157 1
3.8%
5917 1
3.8%

철도
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1432.2308
Minimum439
Maximum2382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:40.309890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439
5-th percentile537.25
Q1751
median1375.5
Q32131.5
95-th percentile2329
Maximum2382
Range1943
Interquartile range (IQR)1380.5

Descriptive statistics

Standard deviation674.29586
Coefficient of variation (CV)0.47080113
Kurtosis-1.5390141
Mean1432.2308
Median Absolute Deviation (MAD)667
Skewness0.055087337
Sum37238
Variance454674.9
MonotonicityNot monotonic
2023-12-13T00:30:40.439098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2329 2
 
7.7%
2196 1
 
3.8%
1231 1
 
3.8%
439 1
 
3.8%
521 1
 
3.8%
586 1
 
3.8%
664 1
 
3.8%
699 1
 
3.8%
703 1
 
3.8%
725 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
439 1
3.8%
521 1
3.8%
586 1
3.8%
664 1
3.8%
699 1
3.8%
703 1
3.8%
725 1
3.8%
829 1
3.8%
910 1
3.8%
1087 1
3.8%
ValueCountFrequency (%)
2382 1
3.8%
2329 2
7.7%
2307 1
3.8%
2255 1
3.8%
2196 1
3.8%
2163 1
3.8%
2037 1
3.8%
1922 1
3.8%
1751 1
3.8%
1607 1
3.8%

도로
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214197.12
Minimum142385
Maximum254713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:40.560683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142385
5-th percentile161491.5
Q1202981
median215653
Q3241269.75
95-th percentile248363.75
Maximum254713
Range112328
Interquartile range (IQR)38288.75

Descriptive statistics

Standard deviation29290.235
Coefficient of variation (CV)0.1367443
Kurtosis0.18938698
Mean214197.12
Median Absolute Deviation (MAD)19997
Skewness-0.67936904
Sum5569125
Variance8.5791788 × 108
MonotonicityNot monotonic
2023-12-13T00:30:40.672827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
180710 1
 
3.8%
214780 1
 
3.8%
247599 1
 
3.8%
248470 1
 
3.8%
242856 1
 
3.8%
254713 1
 
3.8%
247763 1
 
3.8%
248045 1
 
3.8%
247715 1
 
3.8%
236511 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
142385 1
3.8%
156950 1
3.8%
175116 1
3.8%
180710 1
3.8%
184995 1
3.8%
196517 1
3.8%
202658 1
3.8%
203950 1
3.8%
206778 1
3.8%
208999 1
3.8%
ValueCountFrequency (%)
254713 1
3.8%
248470 1
3.8%
248045 1
3.8%
247763 1
3.8%
247715 1
3.8%
247599 1
3.8%
242856 1
3.8%
236511 1
3.8%
224339 1
3.8%
223625 1
3.8%

해운
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23761
Minimum14923
Maximum31329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:40.780655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14923
5-th percentile16051.75
Q120545.25
median23199
Q328310
95-th percentile29954.75
Maximum31329
Range16406
Interquartile range (IQR)7764.75

Descriptive statistics

Standard deviation4653.7134
Coefficient of variation (CV)0.19585511
Kurtosis-1.0105681
Mean23761
Median Absolute Deviation (MAD)3715
Skewness-0.15553823
Sum617786
Variance21657048
MonotonicityNot monotonic
2023-12-13T00:30:40.902790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
28874 1
 
3.8%
21692 1
 
3.8%
23605 1
 
3.8%
20663 1
 
3.8%
20125 1
 
3.8%
17119 1
 
3.8%
20506 1
 
3.8%
22793 1
 
3.8%
21595 1
 
3.8%
19039 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
14923 1
3.8%
15696 1
3.8%
17119 1
3.8%
19039 1
3.8%
20125 1
3.8%
20254 1
3.8%
20506 1
3.8%
20663 1
3.8%
21174 1
3.8%
21419 1
3.8%
ValueCountFrequency (%)
31329 1
3.8%
30315 1
3.8%
28874 1
3.8%
28767 1
3.8%
28752 1
3.8%
28506 1
3.8%
28497 1
3.8%
27749 1
3.8%
27331 1
3.8%
26497 1
3.8%

항공
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23004.577
Minimum14435
Maximum36177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:41.037189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14435
5-th percentile15442
Q116642.25
median21995
Q326939
95-th percentile35335.5
Maximum36177
Range21742
Interquartile range (IQR)10296.75

Descriptive statistics

Standard deviation6862.0183
Coefficient of variation (CV)0.29828926
Kurtosis-0.77825785
Mean23004.577
Median Absolute Deviation (MAD)5335.5
Skewness0.61169769
Sum598119
Variance47087295
MonotonicityNot monotonic
2023-12-13T00:30:41.164430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
16366 1
 
3.8%
24917 1
 
3.8%
21725 1
 
3.8%
17733 1
 
3.8%
18442 1
 
3.8%
35558 1
 
3.8%
36177 1
 
3.8%
34668 1
 
3.8%
33570 1
 
3.8%
30758 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
14435 1
3.8%
15351 1
3.8%
15715 1
3.8%
15819 1
3.8%
16024 1
3.8%
16366 1
3.8%
16625 1
3.8%
16694 1
3.8%
17733 1
3.8%
18442 1
3.8%
ValueCountFrequency (%)
36177 1
3.8%
35558 1
3.8%
34668 1
3.8%
33570 1
3.8%
30758 1
3.8%
28602 1
3.8%
26955 1
3.8%
26891 1
3.8%
24917 1
3.8%
24815 1
3.8%

가정
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43728.615
Minimum22701
Maximum91025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:41.296706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22701
5-th percentile23191.5
Q126090.5
median32925.5
Q364522.5
95-th percentile75080
Maximum91025
Range68324
Interquartile range (IQR)38432

Descriptive statistics

Standard deviation21890.345
Coefficient of variation (CV)0.50059544
Kurtosis-1.0266087
Mean43728.615
Median Absolute Deviation (MAD)7866
Skewness0.77394413
Sum1136944
Variance4.7918722 × 108
MonotonicityNot monotonic
2023-12-13T00:30:41.439511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
91025 1
 
3.8%
31071 1
 
3.8%
22701 1
 
3.8%
23168 1
 
3.8%
23262 1
 
3.8%
25643 1
 
3.8%
27217 1
 
3.8%
29236 1
 
3.8%
29319 1
 
3.8%
25424 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
22701 1
3.8%
23168 1
3.8%
23262 1
3.8%
24695 1
3.8%
25424 1
3.8%
25643 1
3.8%
25795 1
3.8%
26977 1
3.8%
27217 1
3.8%
29236 1
3.8%
ValueCountFrequency (%)
91025 1
3.8%
75092 1
3.8%
75044 1
3.8%
74127 1
3.8%
73036 1
3.8%
68428 1
3.8%
64589 1
3.8%
64323 1
3.8%
62382 1
3.8%
38758 1
3.8%

상업
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22245.692
Minimum13879
Maximum51283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:41.577339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13879
5-th percentile14619
Q116107.75
median18440
Q323879.75
95-th percentile44242.25
Maximum51283
Range37404
Interquartile range (IQR)7772

Descriptive statistics

Standard deviation9726.2582
Coefficient of variation (CV)0.43721985
Kurtosis3.1095879
Mean22245.692
Median Absolute Deviation (MAD)3536
Skewness1.8995799
Sum578388
Variance94600099
MonotonicityNot monotonic
2023-12-13T00:30:41.719783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
51283 1
 
3.8%
18445 1
 
3.8%
14607 1
 
3.8%
14655 1
 
3.8%
14957 1
 
3.8%
16001 1
 
3.8%
17358 1
 
3.8%
17890 1
 
3.8%
17934 1
 
3.8%
18435 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
13879 1
3.8%
14607 1
3.8%
14655 1
3.8%
14851 1
3.8%
14957 1
3.8%
15154 1
3.8%
16001 1
3.8%
16428 1
3.8%
17358 1
3.8%
17865 1
3.8%
ValueCountFrequency (%)
51283 1
3.8%
45717 1
3.8%
39818 1
3.8%
32218 1
3.8%
25650 1
3.8%
24836 1
3.8%
24137 1
3.8%
23108 1
3.8%
22611 1
3.8%
20828 1
3.8%

발전
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21693.654
Minimum3826
Maximum56960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:41.854138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3826
5-th percentile4396
Q111481.75
median21792.5
Q327969.25
95-th percentile40778.75
Maximum56960
Range53134
Interquartile range (IQR)16487.5

Descriptive statistics

Standard deviation13179.752
Coefficient of variation (CV)0.60753952
Kurtosis0.50172121
Mean21693.654
Median Absolute Deviation (MAD)8509.5
Skewness0.70081853
Sum564035
Variance1.7370587 × 108
MonotonicityNot monotonic
2023-12-13T00:30:41.988635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
56960 1
 
3.8%
14435 1
 
3.8%
5023 1
 
3.8%
4187 1
 
3.8%
3826 1
 
3.8%
5684 1
 
3.8%
8607 1
 
3.8%
8060 1
 
3.8%
19307 1
 
3.8%
12852 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
3826 1
3.8%
4187 1
3.8%
5023 1
3.8%
5684 1
3.8%
8060 1
3.8%
8607 1
3.8%
11025 1
3.8%
12852 1
3.8%
14435 1
3.8%
15765 1
3.8%
ValueCountFrequency (%)
56960 1
3.8%
41529 1
3.8%
38528 1
3.8%
36624 1
3.8%
36403 1
3.8%
29871 1
3.8%
28176 1
3.8%
27349 1
3.8%
27174 1
3.8%
23739 1
3.8%

석유정제
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)83.3%
Missing2
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean20.3
Minimum0.26
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:42.093033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.26
5-th percentile1.099
Q16
median11
Q320.25
95-th percentile86.25
Maximum98
Range97.74
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation25.8329
Coefficient of variation (CV)1.2725567
Kurtosis4.9063721
Mean20.3
Median Absolute Deviation (MAD)6
Skewness2.2911381
Sum487.2
Variance667.33875
MonotonicityNot monotonic
2023-12-13T00:30:42.212594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6.0 3
 
11.5%
17.0 2
 
7.7%
10.0 2
 
7.7%
5.0 1
 
3.8%
24.0 1
 
3.8%
12.0 1
 
3.8%
30.0 1
 
3.8%
35.0 1
 
3.8%
98.0 1
 
3.8%
2.0 1
 
3.8%
Other values (10) 10
38.5%
(Missing) 2
 
7.7%
ValueCountFrequency (%)
0.26 1
 
3.8%
0.94 1
 
3.8%
2.0 1
 
3.8%
3.0 1
 
3.8%
5.0 1
 
3.8%
6.0 3
11.5%
7.0 1
 
3.8%
9.0 1
 
3.8%
10.0 2
7.7%
12.0 1
 
3.8%
ValueCountFrequency (%)
98.0 1
3.8%
93.0 1
3.8%
48.0 1
3.8%
35.0 1
3.8%
30.0 1
3.8%
24.0 1
3.8%
19.0 1
3.8%
17.0 2
7.7%
15.0 1
3.8%
14.0 1
3.8%

개스제조
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2693
Minimum770
Maximum7842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:42.317056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum770
5-th percentile847.25
Q11176.75
median1893
Q33940.75
95-th percentile7264.25
Maximum7842
Range7072
Interquartile range (IQR)2764

Descriptive statistics

Standard deviation2117.1865
Coefficient of variation (CV)0.78618139
Kurtosis0.66574015
Mean2693
Median Absolute Deviation (MAD)931
Skewness1.2861144
Sum70018
Variance4482478.6
MonotonicityNot monotonic
2023-12-13T00:30:42.437064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7842 1
 
3.8%
6599 1
 
3.8%
4645 1
 
3.8%
2822 1
 
3.8%
1174 1
 
3.8%
1185 1
 
3.8%
2037 1
 
3.8%
1228 1
 
3.8%
1217 1
 
3.8%
1028 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
770 1
3.8%
830 1
3.8%
899 1
3.8%
956 1
3.8%
960 1
3.8%
1028 1
3.8%
1174 1
3.8%
1185 1
3.8%
1217 1
3.8%
1228 1
3.8%
ValueCountFrequency (%)
7842 1
3.8%
7486 1
3.8%
6599 1
3.8%
4904 1
3.8%
4645 1
3.8%
4518 1
3.8%
4186 1
3.8%
3205 1
3.8%
2822 1
3.8%
2449 1
3.8%

공공
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9207.4615
Minimum8074
Maximum10505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:42.555938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8074
5-th percentile8114.25
Q18689.75
median9084
Q39833.5
95-th percentile10348.25
Maximum10505
Range2431
Interquartile range (IQR)1143.75

Descriptive statistics

Standard deviation737.59486
Coefficient of variation (CV)0.080108384
Kurtosis-0.97045179
Mean9207.4615
Median Absolute Deviation (MAD)493.5
Skewness0.22626769
Sum239394
Variance544046.18
MonotonicityNot monotonic
2023-12-13T00:30:42.665638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10142 1
 
3.8%
8861 1
 
3.8%
8330 1
 
3.8%
8172 1
 
3.8%
8095 1
 
3.8%
9131 1
 
3.8%
10224 1
 
3.8%
10505 1
 
3.8%
10253 1
 
3.8%
10380 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
8074 1
3.8%
8095 1
3.8%
8172 1
3.8%
8330 1
3.8%
8405 1
3.8%
8581 1
3.8%
8653 1
3.8%
8800 1
3.8%
8861 1
3.8%
8984 1
3.8%
ValueCountFrequency (%)
10505 1
3.8%
10380 1
3.8%
10253 1
3.8%
10224 1
3.8%
10142 1
3.8%
10027 1
3.8%
9922 1
3.8%
9568 1
3.8%
9440 1
3.8%
9356 1
3.8%

기타
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0.95
 
1
0.0
 
1
0.59
 
1

Length

Max length4
Median length4
Mean length3.9615385
Min length3

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row<NA>
2nd row0.95
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
88.5%
0.95 1
 
3.8%
0.0 1
 
3.8%
0.59 1
 
3.8%

Length

2023-12-13T00:30:42.776467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:30:42.890285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0.95 1
 
3.8%
0.0 1
 
3.8%
0.59 1
 
3.8%

합계
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean816500.68
Minimum670277.95
Maximum947274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:30:42.984704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum670277.95
5-th percentile725382.5
Q1761528.43
median794612
Q3871945.75
95-th percentile939604
Maximum947274
Range276996.05
Interquartile range (IQR)110417.32

Descriptive statistics

Standard deviation78716.652
Coefficient of variation (CV)0.096407332
Kurtosis-0.83387275
Mean816500.68
Median Absolute Deviation (MAD)38126.5
Skewness0.4168068
Sum21229018
Variance6.1963114 × 109
MonotonicityNot monotonic
2023-12-13T00:30:43.086509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
793897.0 1
 
3.8%
801643.0 1
 
3.8%
947274.0 1
 
3.8%
938170.0 1
 
3.8%
877179.0 1
 
3.8%
931945.0 1
 
3.8%
934803.0 1
 
3.8%
940082.0 1
 
3.8%
924200.0 1
 
3.8%
856246.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
670277.95 1
3.8%
719658.0 1
3.8%
742556.0 1
3.8%
743666.0 1
3.8%
752329.0 1
3.8%
760642.0 1
3.8%
761081.26 1
3.8%
762869.94 1
3.8%
762942.0 1
3.8%
765518.59 1
3.8%
ValueCountFrequency (%)
947274.0 1
3.8%
940082.0 1
3.8%
938170.0 1
3.8%
934803.0 1
3.8%
931945.0 1
3.8%
924200.0 1
3.8%
877179.0 1
3.8%
856246.0 1
3.8%
827679.0 1
3.8%
825202.0 1
3.8%

Sample

년농림수산업광업식품 담배업섬유제품업목재업제지_인쇄업화학제품업요업철강업비철금속산업기계조립업수송장비업기타제조업건설업기타에너지철도도로해운항공가정상업발전석유정제개스제조공공기타합계
0199725193391821194785999212237038100685935985695338361222315125325221961807102887416366910255128356960<NA>784210142<NA>793897.0
1199822100293686810306423779424869868864801941517256089522122604125216314238528752144356238239818217726.0418685810.95670277.95
21999239172745957109815318510249511771774991220585468961029112849371622551569503132915351750924571723739<NA>45188984<NA>719658.0
320002490536257901052653977902584577665617113494055638610339136484049230717511630315157157504432218385283.032058074<NA>742556.0
4200126544389512198584937130261299736245831199363255728458142124075232918499527749160247412725650415292.018949440<NA>743666.0
5200226231425507296105287340278315743344961158372454627010141623941232919651728506166947303624137364030.94168786530.0762869.94
6200322498533500485584467234285398701441321199341643036104144974329238220265828767158196842822611366245.095610027<NA>762942.0
72004203914554911785441369642968246930390311333434280456031589155492037203950264971662564589151542987119.09609568<NA>752329.0
820051908948146686402325624830832867164070913330413715745150106187192220677826278203766432313879273490.2613979922<NA>761081.26
9200618032627432649362645599323678689037449553236113481161707050731751208999284972189238758248362717415.083090860.59765518.59
년농림수산업광업식품 담배업섬유제품업목재업제지_인쇄업화학제품업요업철강업비철금속산업기계조립업수송장비업기타제조업건설업기타에너지철도도로해운항공가정상업발전석유정제개스제조공공기타합계
1620131540371176658811239542684333809163261282218377851591452661087223625156962695525795164282296193.018928800<NA>825202.0
1720141181051063155465250442200300688024713792123830014890500491022433914923286022469514851110256.08999356<NA>821455.0
182015103714696006043924145127235379462346631743830216399556382923651119039307582542418435128527.0102810380<NA>856246.0
192016984343761454933298490876382073025475718629251178295395725247715215953357029319179341930717.0121710253<NA>924200.0
202017917339568169329316513197339883827464918221034217084796570324804522793346682923617890806098.0122810505<NA>940082.0
212018874739673745525314514230350761929063414721032316031640069924776320506361772721717358860735.0203710224<NA>934803.0
222019984640155426629227514496404773028263315431062015826673066425471317119355582564316001568417.011859131<NA>931945.0
2320201097148656120247261491972363469431363516111065615242654158624285620125184422326214957382630.011748095<NA>877179.0
2420219795657390156502305448723388674281645147810383143401042852124847020663177332316814655418712.028228172<NA>938170.0
252022893970135417048220548225315655835463817839899131131041843924759923605217252270114607502324.046458330<NA>947274.0