Overview

Dataset statistics

Number of variables39
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.4 KiB
Average record size in memory353.1 B

Variable types

Numeric39

Dataset

Description해당 자료는 우리나라의 광역 지자체별로 분류한 외국인 직접투자 통계로, 1962년부터 2023년까지의 신고금액 및 도착금액에 대한 연도별 정보가 포함되어 있습니다.
Author산업통상자원부
URLhttps://www.data.go.kr/data/15054397/fileData.do

Alerts

연도 has unique valuesUnique
전체_도착금액(백만불) has 4 (6.5%) zerosZeros
서울특별시_신고금액(백만불) has 3 (4.8%) zerosZeros
서울특별시_도착금액(백만불) has 5 (8.1%) zerosZeros
인천광역시_신고금액(백만불) has 8 (12.9%) zerosZeros
인천광역시_도착금액(백만불) has 13 (21.0%) zerosZeros
경기도_신고금액(백만불) has 5 (8.1%) zerosZeros
경기도_도착금액(백만불) has 11 (17.7%) zerosZeros
부산광역시_신고금액(백만불) has 12 (19.4%) zerosZeros
부산광역시_도착금액(백만불) has 13 (21.0%) zerosZeros
대구광역시_신고금액(백만불) has 16 (25.8%) zerosZeros
대구광역시_도착금액(백만불) has 20 (32.3%) zerosZeros
광주광역시_신고금액(백만불) has 24 (38.7%) zerosZeros
광주광역시_도착금액(백만불) has 25 (40.3%) zerosZeros
대전광역시_신고금액(백만불) has 22 (35.5%) zerosZeros
대전광역시_도착금액(백만불) has 25 (40.3%) zerosZeros
울산광역시_신고금액(백만불) has 7 (11.3%) zerosZeros
울산광역시_도착금액(백만불) has 14 (22.6%) zerosZeros
세종특별자치시_신고금액(백만불) has 29 (46.8%) zerosZeros
세종특별자치시_도착금액(백만불) has 33 (53.2%) zerosZeros
강원도_신고금액(백만불) has 22 (35.5%) zerosZeros
강원도_도착금액(백만불) has 28 (45.2%) zerosZeros
충청북도_신고금액(백만불) has 13 (21.0%) zerosZeros
충청북도_도착금액(백만불) has 17 (27.4%) zerosZeros
충청남도_신고금액(백만불) has 20 (32.3%) zerosZeros
충청남도_도착금액(백만불) has 21 (33.9%) zerosZeros
전라북도_신고금액(백만불) has 13 (21.0%) zerosZeros
전라북도_도착금액(백만불) has 17 (27.4%) zerosZeros
전라남도_신고금액(백만불) has 13 (21.0%) zerosZeros
전라남도_도착금액(백만불) has 21 (33.9%) zerosZeros
경상북도_신고금액(백만불) has 7 (11.3%) zerosZeros
경상북도_도착금액(백만불) has 12 (19.4%) zerosZeros
경상남도_신고금액(백만불) has 7 (11.3%) zerosZeros
경상남도_도착금액(백만불) has 9 (14.5%) zerosZeros
제주특별자치도_신고금액(백만불) has 19 (30.6%) zerosZeros
제주특별자치도_도착금액(백만불) has 26 (41.9%) zerosZeros
미정_신고금액(백만불) has 2 (3.2%) zerosZeros
미정_도착금액(백만불) has 16 (25.8%) zerosZeros

Reproduction

Analysis started2024-04-06 08:16:11.008667
Analysis finished2024-04-06 08:16:11.711873
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1992.5
Minimum1962
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:11.874244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1962
5-th percentile1965.05
Q11977.25
median1992.5
Q32007.75
95-th percentile2019.95
Maximum2023
Range61
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.041619
Coefficient of variation (CV)0.0090547646
Kurtosis-1.2
Mean1992.5
Median Absolute Deviation (MAD)15.5
Skewness0
Sum123535
Variance325.5
MonotonicityStrictly increasing
2024-04-06T17:16:12.144974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1962 1
 
1.6%
2009 1
 
1.6%
1996 1
 
1.6%
1997 1
 
1.6%
1998 1
 
1.6%
1999 1
 
1.6%
2000 1
 
1.6%
2001 1
 
1.6%
2002 1
 
1.6%
2003 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
1962 1
1.6%
1963 1
1.6%
1964 1
1.6%
1965 1
1.6%
1966 1
1.6%
1967 1
1.6%
1968 1
1.6%
1969 1
1.6%
1970 1
1.6%
1971 1
1.6%
ValueCountFrequency (%)
2023 1
1.6%
2022 1
1.6%
2021 1
1.6%
2020 1
1.6%
2019 1
1.6%
2018 1
1.6%
2017 1
1.6%
2016 1
1.6%
2015 1
1.6%
2014 1
1.6%
Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7514.9032
Minimum1
Maximum32719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:12.449099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.3
Q1153
median1301
Q313003.75
95-th percentile26723.3
Maximum32719
Range32718
Interquartile range (IQR)12850.75

Descriptive statistics

Standard deviation9375.4567
Coefficient of variation (CV)1.2475818
Kurtosis0.12602741
Mean7514.9032
Median Absolute Deviation (MAD)1290
Skewness1.0899141
Sum465924
Variance87899188
MonotonicityNot monotonic
2024-04-06T17:16:12.747420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153 2
 
3.2%
4 1
 
1.6%
13073 1
 
1.6%
6971 1
 
1.6%
8858 1
 
1.6%
15545 1
 
1.6%
15265 1
 
1.6%
11288 1
 
1.6%
9095 1
 
1.6%
6471 1
 
1.6%
Other values (51) 51
82.3%
ValueCountFrequency (%)
1 1
1.6%
4 1
1.6%
6 1
1.6%
16 1
1.6%
22 1
1.6%
26 1
1.6%
28 1
1.6%
40 1
1.6%
49 1
1.6%
76 1
1.6%
ValueCountFrequency (%)
32719 1
1.6%
30454 1
1.6%
29514 1
1.6%
26902 1
1.6%
23328 1
1.6%
22948 1
1.6%
21295 1
1.6%
20909 1
1.6%
20746 1
1.6%
18999 1
1.6%

전체_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4716.5484
Minimum0
Maximum19089
Zeros4
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:13.094737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q1129.5
median951
Q39216.5
95-th percentile17413.4
Maximum19089
Range19089
Interquartile range (IQR)9087

Descriptive statistics

Standard deviation5834.9589
Coefficient of variation (CV)1.2371248
Kurtosis-0.11079298
Mean4716.5484
Median Absolute Deviation (MAD)951
Skewness1.0463299
Sum292426
Variance34046745
MonotonicityNot monotonic
2024-04-06T17:16:13.502081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
6.5%
5 3
 
4.8%
5451 1
 
1.6%
5348 1
 
1.6%
11032 1
 
1.6%
10285 1
 
1.6%
5035 1
 
1.6%
3808 1
 
1.6%
5145 1
 
1.6%
9246 1
 
1.6%
Other values (47) 47
75.8%
ValueCountFrequency (%)
0 4
6.5%
1 1
 
1.6%
2 1
 
1.6%
3 1
 
1.6%
5 3
4.8%
6 1
 
1.6%
9 1
 
1.6%
23 1
 
1.6%
98 1
 
1.6%
123 1
 
1.6%
ValueCountFrequency (%)
19089 1
1.6%
18316 1
1.6%
18131 1
1.6%
17452 1
1.6%
16680 1
1.6%
13816 1
1.6%
13398 1
1.6%
12349 1
1.6%
11445 1
1.6%
11032 1
1.6%
Distinct57
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3039.5806
Minimum0
Maximum17905
Zeros3
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:14.194874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q135.25
median523
Q35576.25
95-th percentile10480
Maximum17905
Range17905
Interquartile range (IQR)5541

Descriptive statistics

Standard deviation4134.8489
Coefficient of variation (CV)1.3603353
Kurtosis2.1681819
Mean3039.5806
Median Absolute Deviation (MAD)520
Skewness1.5406125
Sum188454
Variance17096976
MonotonicityNot monotonic
2024-04-06T17:16:14.480663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
4.8%
6 2
 
3.2%
3 2
 
3.2%
33 2
 
3.2%
4114 1
 
1.6%
4746 1
 
1.6%
3167 1
 
1.6%
2220 1
 
1.6%
3850 1
 
1.6%
5421 1
 
1.6%
Other values (47) 47
75.8%
ValueCountFrequency (%)
0 3
4.8%
3 2
3.2%
4 1
 
1.6%
5 1
 
1.6%
6 2
3.2%
10 1
 
1.6%
16 1
 
1.6%
22 1
 
1.6%
26 1
 
1.6%
29 1
 
1.6%
ValueCountFrequency (%)
17905 1
1.6%
14765 1
1.6%
10831 1
1.6%
10483 1
1.6%
10423 1
1.6%
10202 1
1.6%
9246 1
1.6%
8513 1
1.6%
7163 1
1.6%
6948 1
1.6%
Distinct56
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2624.3548
Minimum0
Maximum12929
Zeros5
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:14.908416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q158.5
median625.5
Q34777.5
95-th percentile8338.05
Maximum12929
Range12929
Interquartile range (IQR)4719

Descriptive statistics

Standard deviation3366.8073
Coefficient of variation (CV)1.2829086
Kurtosis0.8484811
Mean2624.3548
Median Absolute Deviation (MAD)625.5
Skewness1.2772286
Sum162710
Variance11335391
MonotonicityNot monotonic
2024-04-06T17:16:15.233010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
8.1%
1 3
 
4.8%
2637 1
 
1.6%
6713 1
 
1.6%
5361 1
 
1.6%
2662 1
 
1.6%
1955 1
 
1.6%
3275 1
 
1.6%
5004 1
 
1.6%
6572 1
 
1.6%
Other values (46) 46
74.2%
ValueCountFrequency (%)
0 5
8.1%
1 3
4.8%
2 1
 
1.6%
5 1
 
1.6%
6 1
 
1.6%
9 1
 
1.6%
11 1
 
1.6%
35 1
 
1.6%
49 1
 
1.6%
53 1
 
1.6%
ValueCountFrequency (%)
12929 1
1.6%
12008 1
1.6%
10082 1
1.6%
8341 1
1.6%
8282 1
1.6%
8132 1
1.6%
7740 1
1.6%
6745 1
1.6%
6713 1
1.6%
6572 1
1.6%
Distinct48
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean507.20968
Minimum0
Maximum5039
Zeros8
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:15.607089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median45
Q3623.75
95-th percentile2005.85
Maximum5039
Range5039
Interquartile range (IQR)619.5

Descriptive statistics

Standard deviation911.89966
Coefficient of variation (CV)1.7978751
Kurtosis10.490867
Mean507.20968
Median Absolute Deviation (MAD)45
Skewness2.9188508
Sum31447
Variance831560.99
MonotonicityNot monotonic
2024-04-06T17:16:15.928282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 8
 
12.9%
25 3
 
4.8%
2 3
 
4.8%
3 2
 
3.2%
4 2
 
3.2%
11 2
 
3.2%
1889 1
 
1.6%
275 1
 
1.6%
146 1
 
1.6%
194 1
 
1.6%
Other values (38) 38
61.3%
ValueCountFrequency (%)
0 8
12.9%
1 1
 
1.6%
2 3
 
4.8%
3 2
 
3.2%
4 2
 
3.2%
5 1
 
1.6%
6 1
 
1.6%
11 2
 
3.2%
13 1
 
1.6%
14 1
 
1.6%
ValueCountFrequency (%)
5039 1
1.6%
3431 1
1.6%
2337 1
1.6%
2012 1
1.6%
1889 1
1.6%
1761 1
1.6%
1531 1
1.6%
1357 1
1.6%
1221 1
1.6%
1147 1
1.6%
Distinct45
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.53226
Minimum0
Maximum4855
Zeros13
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:16.285134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median28.5
Q3248
95-th percentile1381.25
Maximum4855
Range4855
Interquartile range (IQR)244

Descriptive statistics

Standard deviation703.36022
Coefficient of variation (CV)2.3403818
Kurtosis29.239975
Mean300.53226
Median Absolute Deviation (MAD)28.5
Skewness4.8775984
Sum18633
Variance494715.6
MonotonicityNot monotonic
2024-04-06T17:16:16.640308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 13
 
21.0%
4 2
 
3.2%
5 2
 
3.2%
2 2
 
3.2%
15 2
 
3.2%
93 2
 
3.2%
1404 1
 
1.6%
195 1
 
1.6%
353 1
 
1.6%
553 1
 
1.6%
Other values (35) 35
56.5%
ValueCountFrequency (%)
0 13
21.0%
2 2
 
3.2%
4 2
 
3.2%
5 2
 
3.2%
7 1
 
1.6%
8 1
 
1.6%
9 1
 
1.6%
12 1
 
1.6%
13 1
 
1.6%
15 2
 
3.2%
ValueCountFrequency (%)
4855 1
1.6%
1723 1
1.6%
1433 1
1.6%
1404 1
1.6%
949 1
1.6%
897 1
1.6%
857 1
1.6%
832 1
1.6%
780 1
1.6%
553 1
1.6%

경기도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean950.16129
Minimum0
Maximum5307
Zeros5
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:16.957153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.5
median187.5
Q31653
95-th percentile4161.1
Maximum5307
Range5307
Interquartile range (IQR)1644.5

Descriptive statistics

Standard deviation1303.6403
Coefficient of variation (CV)1.37202
Kurtosis2.4692371
Mean950.16129
Median Absolute Deviation (MAD)187.5
Skewness1.6603938
Sum58910
Variance1699477.9
MonotonicityNot monotonic
2024-04-06T17:16:17.508887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
8.1%
8 3
 
4.8%
1 2
 
3.2%
2 2
 
3.2%
5 2
 
3.2%
1226 1
 
1.6%
850 1
 
1.6%
480 1
 
1.6%
1683 1
 
1.6%
1240 1
 
1.6%
Other values (43) 43
69.4%
ValueCountFrequency (%)
0 5
8.1%
1 2
 
3.2%
2 2
 
3.2%
4 1
 
1.6%
5 2
 
3.2%
6 1
 
1.6%
8 3
4.8%
10 1
 
1.6%
14 1
 
1.6%
21 1
 
1.6%
ValueCountFrequency (%)
5307 1
1.6%
4624 1
1.6%
4620 1
1.6%
4233 1
1.6%
2795 1
1.6%
2576 1
1.6%
2350 1
1.6%
2285 1
1.6%
2231 1
1.6%
2148 1
1.6%

경기도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597.96774
Minimum0
Maximum3200
Zeros11
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:17.956959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median80
Q3957.5
95-th percentile2321.45
Maximum3200
Range3200
Interquartile range (IQR)951

Descriptive statistics

Standard deviation817.25366
Coefficient of variation (CV)1.3667186
Kurtosis1.6037575
Mean597.96774
Median Absolute Deviation (MAD)80
Skewness1.4812925
Sum37074
Variance667903.54
MonotonicityNot monotonic
2024-04-06T17:16:18.341156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 11
 
17.7%
8 2
 
3.2%
1 2
 
3.2%
71 2
 
3.2%
824 1
 
1.6%
605 1
 
1.6%
625 1
 
1.6%
1528 1
 
1.6%
855 1
 
1.6%
869 1
 
1.6%
Other values (39) 39
62.9%
ValueCountFrequency (%)
0 11
17.7%
1 2
 
3.2%
2 1
 
1.6%
5 1
 
1.6%
6 1
 
1.6%
8 2
 
3.2%
9 1
 
1.6%
18 1
 
1.6%
19 1
 
1.6%
20 1
 
1.6%
ValueCountFrequency (%)
3200 1
1.6%
2972 1
1.6%
2567 1
1.6%
2334 1
1.6%
2083 1
1.6%
1893 1
1.6%
1601 1
1.6%
1528 1
1.6%
1498 1
1.6%
1470 1
1.6%
Distinct42
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.3871
Minimum0
Maximum641
Zeros12
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:18.766726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median38.5
Q3287.25
95-th percentile488.7
Maximum641
Range641
Interquartile range (IQR)286.25

Descriptive statistics

Standard deviation182.70269
Coefficient of variation (CV)1.2396112
Kurtosis0.029387926
Mean147.3871
Median Absolute Deviation (MAD)38.5
Skewness1.0426378
Sum9138
Variance33380.274
MonotonicityNot monotonic
2024-04-06T17:16:19.216134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 12
 
19.4%
1 5
 
8.1%
3 3
 
4.8%
2 2
 
3.2%
7 2
 
3.2%
251 2
 
3.2%
332 1
 
1.6%
237 1
 
1.6%
193 1
 
1.6%
156 1
 
1.6%
Other values (32) 32
51.6%
ValueCountFrequency (%)
0 12
19.4%
1 5
8.1%
2 2
 
3.2%
3 3
 
4.8%
5 1
 
1.6%
6 1
 
1.6%
7 2
 
3.2%
8 1
 
1.6%
11 1
 
1.6%
15 1
 
1.6%
ValueCountFrequency (%)
641 1
1.6%
615 1
1.6%
563 1
1.6%
491 1
1.6%
445 1
1.6%
435 1
1.6%
410 1
1.6%
367 1
1.6%
360 1
1.6%
348 1
1.6%
Distinct39
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.5
Minimum0
Maximum431
Zeros13
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:19.722481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median34.5
Q3172.5
95-th percentile353.85
Maximum431
Range431
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation126.81712
Coefficient of variation (CV)1.2745439
Kurtosis-0.035711644
Mean99.5
Median Absolute Deviation (MAD)34.5
Skewness1.1415918
Sum6169
Variance16082.582
MonotonicityNot monotonic
2024-04-06T17:16:20.019162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 13
21.0%
1 9
 
14.5%
33 3
 
4.8%
37 2
 
3.2%
272 1
 
1.6%
214 1
 
1.6%
212 1
 
1.6%
183 1
 
1.6%
84 1
 
1.6%
103 1
 
1.6%
Other values (29) 29
46.8%
ValueCountFrequency (%)
0 13
21.0%
1 9
14.5%
4 1
 
1.6%
5 1
 
1.6%
9 1
 
1.6%
21 1
 
1.6%
29 1
 
1.6%
33 3
 
4.8%
34 1
 
1.6%
35 1
 
1.6%
ValueCountFrequency (%)
431 1
1.6%
384 1
1.6%
362 1
1.6%
354 1
1.6%
351 1
1.6%
329 1
1.6%
308 1
1.6%
299 1
1.6%
298 1
1.6%
274 1
1.6%
Distinct38
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.258065
Minimum0
Maximum860
Zeros16
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:20.285213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median11
Q370.75
95-th percentile197.8
Maximum860
Range860
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation123.39712
Coefficient of variation (CV)2.2331062
Kurtosis30.263217
Mean55.258065
Median Absolute Deviation (MAD)11
Skewness4.9731963
Sum3426
Variance15226.85
MonotonicityNot monotonic
2024-04-06T17:16:20.672985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 16
25.8%
1 8
 
12.9%
2 2
 
3.2%
13 2
 
3.2%
345 1
 
1.6%
31 1
 
1.6%
71 1
 
1.6%
133 1
 
1.6%
199 1
 
1.6%
226 1
 
1.6%
Other values (28) 28
45.2%
ValueCountFrequency (%)
0 16
25.8%
1 8
12.9%
2 2
 
3.2%
3 1
 
1.6%
4 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
9 1
 
1.6%
13 2
 
3.2%
14 1
 
1.6%
ValueCountFrequency (%)
860 1
1.6%
345 1
1.6%
226 1
1.6%
199 1
1.6%
175 1
1.6%
136 1
1.6%
133 1
1.6%
120 1
1.6%
113 1
1.6%
105 1
1.6%
Distinct31
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.177419
Minimum0
Maximum774
Zeros20
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:21.019598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q353.25
95-th percentile126.55
Maximum774
Range774
Interquartile range (IQR)53.25

Descriptive statistics

Standard deviation104.23988
Coefficient of variation (CV)2.5944891
Kurtosis41.490275
Mean40.177419
Median Absolute Deviation (MAD)8
Skewness6.0103246
Sum2491
Variance10865.952
MonotonicityNot monotonic
2024-04-06T17:16:21.335539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 20
32.3%
1 4
 
6.5%
6 3
 
4.8%
12 3
 
4.8%
18 2
 
3.2%
73 2
 
3.2%
65 2
 
3.2%
15 2
 
3.2%
9 2
 
3.2%
2 1
 
1.6%
Other values (21) 21
33.9%
ValueCountFrequency (%)
0 20
32.3%
1 4
 
6.5%
2 1
 
1.6%
4 1
 
1.6%
5 1
 
1.6%
6 3
 
4.8%
7 1
 
1.6%
9 2
 
3.2%
12 3
 
4.8%
15 2
 
3.2%
ValueCountFrequency (%)
774 1
1.6%
224 1
1.6%
138 1
1.6%
127 1
1.6%
118 1
1.6%
99 1
1.6%
86 1
1.6%
75 1
1.6%
73 2
3.2%
68 1
1.6%
Distinct32
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.064516
Minimum0
Maximum379
Zeros24
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:21.636446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q329.25
95-th percentile119.65
Maximum379
Range379
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation62.308295
Coefficient of variation (CV)2.2201806
Kurtosis19.768181
Mean28.064516
Median Absolute Deviation (MAD)6.5
Skewness4.1833991
Sum1740
Variance3882.3236
MonotonicityNot monotonic
2024-04-06T17:16:22.048536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 24
38.7%
4 3
 
4.8%
15 2
 
3.2%
27 2
 
3.2%
8 2
 
3.2%
60 2
 
3.2%
9 2
 
3.2%
275 1
 
1.6%
75 1
 
1.6%
122 1
 
1.6%
Other values (22) 22
35.5%
ValueCountFrequency (%)
0 24
38.7%
1 1
 
1.6%
3 1
 
1.6%
4 3
 
4.8%
5 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
8 2
 
3.2%
9 2
 
3.2%
10 1
 
1.6%
ValueCountFrequency (%)
379 1
1.6%
275 1
1.6%
130 1
1.6%
122 1
1.6%
75 1
1.6%
68 1
1.6%
60 2
3.2%
52 1
1.6%
49 1
1.6%
42 1
1.6%
Distinct24
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.193548
Minimum0
Maximum378
Zeros25
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:22.412201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q312.75
95-th percentile77.65
Maximum378
Range378
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation68.067912
Coefficient of variation (CV)2.9347778
Kurtosis19.393419
Mean23.193548
Median Absolute Deviation (MAD)5
Skewness4.3818671
Sum1438
Variance4633.2406
MonotonicityNot monotonic
2024-04-06T17:16:22.806219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 25
40.3%
8 5
 
8.1%
6 4
 
6.5%
16 3
 
4.8%
4 2
 
3.2%
5 2
 
3.2%
20 2
 
3.2%
19 2
 
3.2%
7 2
 
3.2%
378 1
 
1.6%
Other values (14) 14
22.6%
ValueCountFrequency (%)
0 25
40.3%
1 1
 
1.6%
2 1
 
1.6%
3 1
 
1.6%
4 2
 
3.2%
5 2
 
3.2%
6 4
 
6.5%
7 2
 
3.2%
8 5
 
8.1%
9 1
 
1.6%
ValueCountFrequency (%)
378 1
1.6%
338 1
1.6%
204 1
1.6%
79 1
1.6%
52 1
1.6%
51 1
1.6%
42 1
1.6%
22 1
1.6%
20 2
3.2%
19 2
3.2%
Distinct36
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.967742
Minimum0
Maximum701
Zeros22
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:23.246211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q385.25
95-th percentile315.1
Maximum701
Range701
Interquartile range (IQR)85.25

Descriptive statistics

Standard deviation124.04639
Coefficient of variation (CV)1.7986147
Kurtosis10.845214
Mean68.967742
Median Absolute Deviation (MAD)12.5
Skewness2.9421951
Sum4276
Variance15387.507
MonotonicityNot monotonic
2024-04-06T17:16:23.643725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 22
35.5%
1 4
 
6.5%
7 2
 
3.2%
19 2
 
3.2%
28 1
 
1.6%
359 1
 
1.6%
124 1
 
1.6%
78 1
 
1.6%
118 1
 
1.6%
123 1
 
1.6%
Other values (26) 26
41.9%
ValueCountFrequency (%)
0 22
35.5%
1 4
 
6.5%
6 1
 
1.6%
7 2
 
3.2%
8 1
 
1.6%
12 1
 
1.6%
13 1
 
1.6%
18 1
 
1.6%
19 2
 
3.2%
21 1
 
1.6%
ValueCountFrequency (%)
701 1
1.6%
366 1
1.6%
359 1
1.6%
317 1
1.6%
279 1
1.6%
266 1
1.6%
216 1
1.6%
204 1
1.6%
145 1
1.6%
129 1
1.6%
Distinct32
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.887097
Minimum0
Maximum362
Zeros25
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:24.035476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q357.75
95-th percentile228.25
Maximum362
Range362
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation80.372923
Coefficient of variation (CV)1.7905574
Kurtosis5.7177752
Mean44.887097
Median Absolute Deviation (MAD)6.5
Skewness2.4170823
Sum2783
Variance6459.8067
MonotonicityNot monotonic
2024-04-06T17:16:24.510318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 25
40.3%
1 2
 
3.2%
2 2
 
3.2%
51 2
 
3.2%
8 2
 
3.2%
25 2
 
3.2%
116 2
 
3.2%
61 1
 
1.6%
194 1
 
1.6%
362 1
 
1.6%
Other values (22) 22
35.5%
ValueCountFrequency (%)
0 25
40.3%
1 2
 
3.2%
2 2
 
3.2%
5 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
8 2
 
3.2%
9 1
 
1.6%
11 1
 
1.6%
13 1
 
1.6%
ValueCountFrequency (%)
362 1
1.6%
324 1
1.6%
253 1
1.6%
230 1
1.6%
195 1
1.6%
194 1
1.6%
124 1
1.6%
116 2
3.2%
98 1
1.6%
75 1
1.6%
Distinct47
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.16129
Minimum0
Maximum3329
Zeros7
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:25.440072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median42
Q3169.75
95-th percentile1228.7
Maximum3329
Range3329
Interquartile range (IQR)163.5

Descriptive statistics

Standard deviation582.67774
Coefficient of variation (CV)2.2396789
Kurtosis14.898026
Mean260.16129
Median Absolute Deviation (MAD)39
Skewness3.6296056
Sum16130
Variance339513.35
MonotonicityNot monotonic
2024-04-06T17:16:25.853764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 7
 
11.3%
18 3
 
4.8%
4 3
 
4.8%
9 2
 
3.2%
8 2
 
3.2%
61 2
 
3.2%
5 2
 
3.2%
1 2
 
3.2%
1242 1
 
1.6%
46 1
 
1.6%
Other values (37) 37
59.7%
ValueCountFrequency (%)
0 7
11.3%
1 2
 
3.2%
2 1
 
1.6%
4 3
4.8%
5 2
 
3.2%
6 1
 
1.6%
7 1
 
1.6%
8 2
 
3.2%
9 2
 
3.2%
10 1
 
1.6%
ValueCountFrequency (%)
3329 1
1.6%
2423 1
1.6%
1568 1
1.6%
1242 1
1.6%
976 1
1.6%
806 1
1.6%
773 1
1.6%
656 1
1.6%
514 1
1.6%
510 1
1.6%
Distinct41
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.53226
Minimum0
Maximum3323
Zeros14
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:26.216865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16.5
Q3126.75
95-th percentile617.85
Maximum3323
Range3323
Interquartile range (IQR)125.75

Descriptive statistics

Standard deviation560.35845
Coefficient of variation (CV)2.8083602
Kurtosis23.4475
Mean199.53226
Median Absolute Deviation (MAD)16.5
Skewness4.7347907
Sum12371
Variance314001.6
MonotonicityNot monotonic
2024-04-06T17:16:26.558288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 14
22.6%
1 6
 
9.7%
8 2
 
3.2%
5 2
 
3.2%
4 2
 
3.2%
2854 1
 
1.6%
48 1
 
1.6%
277 1
 
1.6%
37 1
 
1.6%
317 1
 
1.6%
Other values (31) 31
50.0%
ValueCountFrequency (%)
0 14
22.6%
1 6
9.7%
3 1
 
1.6%
4 2
 
3.2%
5 2
 
3.2%
6 1
 
1.6%
8 2
 
3.2%
11 1
 
1.6%
12 1
 
1.6%
15 1
 
1.6%
ValueCountFrequency (%)
3323 1
1.6%
2854 1
1.6%
676 1
1.6%
622 1
1.6%
539 1
1.6%
486 1
1.6%
474 1
1.6%
419 1
1.6%
386 1
1.6%
355 1
1.6%
Distinct22
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.854839
Minimum0
Maximum187
Zeros29
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:26.904894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile82.55
Maximum187
Range187
Interquartile range (IQR)10

Descriptive statistics

Standard deviation35.607536
Coefficient of variation (CV)2.2458466
Kurtosis10.302604
Mean15.854839
Median Absolute Deviation (MAD)1
Skewness3.0889831
Sum983
Variance1267.8966
MonotonicityNot monotonic
2024-04-06T17:16:27.158468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 29
46.8%
1 7
 
11.3%
5 4
 
6.5%
3 2
 
3.2%
6 2
 
3.2%
13 2
 
3.2%
12 1
 
1.6%
138 1
 
1.6%
83 1
 
1.6%
24 1
 
1.6%
Other values (12) 12
19.4%
ValueCountFrequency (%)
0 29
46.8%
1 7
 
11.3%
3 2
 
3.2%
4 1
 
1.6%
5 4
 
6.5%
6 2
 
3.2%
7 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
13 2
 
3.2%
ValueCountFrequency (%)
187 1
1.6%
138 1
1.6%
106 1
1.6%
83 1
1.6%
74 1
1.6%
68 1
1.6%
66 1
1.6%
49 1
1.6%
39 1
1.6%
24 1
1.6%
Distinct20
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.354839
Minimum0
Maximum129
Zeros33
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:27.433831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.75
95-th percentile78.25
Maximum129
Range129
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation25.552964
Coefficient of variation (CV)2.4677318
Kurtosis11.128426
Mean10.354839
Median Absolute Deviation (MAD)0
Skewness3.343167
Sum642
Variance652.95399
MonotonicityNot monotonic
2024-04-06T17:16:27.745380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 33
53.2%
1 6
 
9.7%
20 2
 
3.2%
5 2
 
3.2%
11 2
 
3.2%
4 2
 
3.2%
2 2
 
3.2%
23 1
 
1.6%
45 1
 
1.6%
17 1
 
1.6%
Other values (10) 10
 
16.1%
ValueCountFrequency (%)
0 33
53.2%
1 6
 
9.7%
2 2
 
3.2%
3 1
 
1.6%
4 2
 
3.2%
5 2
 
3.2%
6 1
 
1.6%
7 1
 
1.6%
11 2
 
3.2%
13 1
 
1.6%
ValueCountFrequency (%)
129 1
1.6%
105 1
1.6%
86 1
1.6%
80 1
1.6%
45 1
1.6%
24 1
1.6%
23 1
1.6%
20 2
3.2%
17 1
1.6%
14 1
1.6%

강원도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.74194
Minimum0
Maximum1408
Zeros22
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:28.021532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.5
Q360.5
95-th percentile835.15
Maximum1408
Range1408
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation305.38978
Coefficient of variation (CV)2.3906775
Kurtosis10.03953
Mean127.74194
Median Absolute Deviation (MAD)9.5
Skewness3.1875467
Sum7920
Variance93262.916
MonotonicityNot monotonic
2024-04-06T17:16:28.289452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 22
35.5%
2 2
 
3.2%
5 2
 
3.2%
16 2
 
3.2%
32 2
 
3.2%
4 2
 
3.2%
7 1
 
1.6%
89 1
 
1.6%
59 1
 
1.6%
17 1
 
1.6%
Other values (26) 26
41.9%
ValueCountFrequency (%)
0 22
35.5%
1 1
 
1.6%
2 2
 
3.2%
4 2
 
3.2%
5 2
 
3.2%
7 1
 
1.6%
9 1
 
1.6%
10 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
ValueCountFrequency (%)
1408 1
1.6%
1393 1
1.6%
1066 1
1.6%
854 1
1.6%
477 1
1.6%
438 1
1.6%
370 1
1.6%
344 1
1.6%
333 1
1.6%
228 1
1.6%

강원도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.790323
Minimum0
Maximum306
Zeros28
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:28.567667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q328.75
95-th percentile198.95
Maximum306
Range306
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation65.576419
Coefficient of variation (CV)1.9998711
Kurtosis7.3346343
Mean32.790323
Median Absolute Deviation (MAD)1
Skewness2.7443813
Sum2033
Variance4300.2668
MonotonicityNot monotonic
2024-04-06T17:16:28.804059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 28
45.2%
1 5
 
8.1%
8 3
 
4.8%
27 2
 
3.2%
16 1
 
1.6%
42 1
 
1.6%
77 1
 
1.6%
179 1
 
1.6%
66 1
 
1.6%
256 1
 
1.6%
Other values (18) 18
29.0%
ValueCountFrequency (%)
0 28
45.2%
1 5
 
8.1%
6 1
 
1.6%
8 3
 
4.8%
10 1
 
1.6%
12 1
 
1.6%
14 1
 
1.6%
15 1
 
1.6%
16 1
 
1.6%
24 1
 
1.6%
ValueCountFrequency (%)
306 1
1.6%
256 1
1.6%
225 1
1.6%
200 1
1.6%
179 1
1.6%
89 1
1.6%
85 1
1.6%
77 1
1.6%
68 1
1.6%
66 1
1.6%

충청북도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.12903
Minimum0
Maximum1312
Zeros13
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:29.081351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median54
Q3167.75
95-th percentile589.95
Maximum1312
Range1312
Interquartile range (IQR)166.75

Descriptive statistics

Standard deviation255.42536
Coefficient of variation (CV)1.7360636
Kurtosis9.7013742
Mean147.12903
Median Absolute Deviation (MAD)54
Skewness2.9922547
Sum9122
Variance65242.114
MonotonicityNot monotonic
2024-04-06T17:16:29.375394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 13
 
21.0%
1 4
 
6.5%
2 2
 
3.2%
122 2
 
3.2%
201 2
 
3.2%
593 1
 
1.6%
1056 1
 
1.6%
385 1
 
1.6%
209 1
 
1.6%
286 1
 
1.6%
Other values (34) 34
54.8%
ValueCountFrequency (%)
0 13
21.0%
1 4
 
6.5%
2 2
 
3.2%
3 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
11 1
 
1.6%
16 1
 
1.6%
22 1
 
1.6%
ValueCountFrequency (%)
1312 1
1.6%
1056 1
1.6%
953 1
1.6%
593 1
1.6%
532 1
1.6%
385 1
1.6%
353 1
1.6%
300 1
1.6%
286 1
1.6%
235 1
1.6%

충청북도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.483871
Minimum0
Maximum954
Zeros17
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:29.681654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median31.5
Q3130.5
95-th percentile295.2
Maximum954
Range954
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation174.93903
Coefficient of variation (CV)1.8131427
Kurtosis14.955508
Mean96.483871
Median Absolute Deviation (MAD)31.5
Skewness3.5926103
Sum5982
Variance30603.664
MonotonicityNot monotonic
2024-04-06T17:16:30.126434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 17
27.4%
1 2
 
3.2%
5 2
 
3.2%
14 2
 
3.2%
161 2
 
3.2%
69 2
 
3.2%
64 1
 
1.6%
297 1
 
1.6%
885 1
 
1.6%
183 1
 
1.6%
Other values (31) 31
50.0%
ValueCountFrequency (%)
0 17
27.4%
1 2
 
3.2%
2 1
 
1.6%
4 1
 
1.6%
5 2
 
3.2%
6 1
 
1.6%
7 1
 
1.6%
10 1
 
1.6%
13 1
 
1.6%
14 2
 
3.2%
ValueCountFrequency (%)
954 1
1.6%
885 1
1.6%
352 1
1.6%
297 1
1.6%
261 1
1.6%
253 1
1.6%
238 1
1.6%
203 1
1.6%
199 1
1.6%
183 1
1.6%

충청남도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.93548
Minimum0
Maximum1653
Zeros20
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:30.383514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50
Q3536.25
95-th percentile1123.95
Maximum1653
Range1653
Interquartile range (IQR)536.25

Descriptive statistics

Standard deviation398.61645
Coefficient of variation (CV)1.3940783
Kurtosis1.9719453
Mean285.93548
Median Absolute Deviation (MAD)50
Skewness1.5569835
Sum17728
Variance158895.08
MonotonicityNot monotonic
2024-04-06T17:16:30.609907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 20
32.3%
1 3
 
4.8%
20 2
 
3.2%
548 1
 
1.6%
371 1
 
1.6%
345 1
 
1.6%
142 1
 
1.6%
209 1
 
1.6%
669 1
 
1.6%
637 1
 
1.6%
Other values (30) 30
48.4%
ValueCountFrequency (%)
0 20
32.3%
1 3
 
4.8%
2 1
 
1.6%
3 1
 
1.6%
20 2
 
3.2%
33 1
 
1.6%
39 1
 
1.6%
48 1
 
1.6%
49 1
 
1.6%
51 1
 
1.6%
ValueCountFrequency (%)
1653 1
1.6%
1405 1
1.6%
1205 1
1.6%
1130 1
1.6%
1009 1
1.6%
935 1
1.6%
797 1
1.6%
740 1
1.6%
688 1
1.6%
669 1
1.6%

충청남도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.67742
Minimum0
Maximum1753
Zeros21
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:30.932925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q3269.25
95-th percentile825.35
Maximum1753
Range1753
Interquartile range (IQR)269.25

Descriptive statistics

Standard deviation331.85405
Coefficient of variation (CV)1.6703159
Kurtosis7.9891373
Mean198.67742
Median Absolute Deviation (MAD)30
Skewness2.558143
Sum12318
Variance110127.11
MonotonicityNot monotonic
2024-04-06T17:16:31.286446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 21
33.9%
1 3
 
4.8%
34 2
 
3.2%
401 1
 
1.6%
220 1
 
1.6%
591 1
 
1.6%
150 1
 
1.6%
337 1
 
1.6%
406 1
 
1.6%
442 1
 
1.6%
Other values (29) 29
46.8%
ValueCountFrequency (%)
0 21
33.9%
1 3
 
4.8%
2 1
 
1.6%
10 1
 
1.6%
11 1
 
1.6%
14 1
 
1.6%
19 1
 
1.6%
22 1
 
1.6%
28 1
 
1.6%
32 1
 
1.6%
ValueCountFrequency (%)
1753 1
1.6%
1198 1
1.6%
886 1
1.6%
827 1
1.6%
794 1
1.6%
623 1
1.6%
591 1
1.6%
545 1
1.6%
442 1
1.6%
429 1
1.6%

전라북도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.29032
Minimum0
Maximum1961
Zeros13
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:31.650687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median29
Q390.75
95-th percentile727.8
Maximum1961
Range1961
Interquartile range (IQR)89.75

Descriptive statistics

Standard deviation319.1947
Coefficient of variation (CV)2.4498727
Kurtosis19.734118
Mean130.29032
Median Absolute Deviation (MAD)29
Skewness4.2009046
Sum8078
Variance101885.26
MonotonicityNot monotonic
2024-04-06T17:16:32.198868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 13
21.0%
1 5
 
8.1%
2 4
 
6.5%
32 3
 
4.8%
3 3
 
4.8%
67 2
 
3.2%
27 2
 
3.2%
31 2
 
3.2%
112 1
 
1.6%
80 1
 
1.6%
Other values (26) 26
41.9%
ValueCountFrequency (%)
0 13
21.0%
1 5
 
8.1%
2 4
 
6.5%
3 3
 
4.8%
16 1
 
1.6%
23 1
 
1.6%
25 1
 
1.6%
26 1
 
1.6%
27 2
 
3.2%
31 2
 
3.2%
ValueCountFrequency (%)
1961 1
1.6%
1211 1
1.6%
916 1
1.6%
748 1
1.6%
344 1
1.6%
276 1
1.6%
244 1
1.6%
223 1
1.6%
215 1
1.6%
212 1
1.6%

전라북도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.145161
Minimum0
Maximum458
Zeros17
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:32.550925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q351
95-th percentile187.5
Maximum458
Range458
Interquartile range (IQR)51

Descriptive statistics

Standard deviation74.023223
Coefficient of variation (CV)1.7563872
Kurtosis16.041022
Mean42.145161
Median Absolute Deviation (MAD)6.5
Skewness3.4754496
Sum2613
Variance5479.4376
MonotonicityNot monotonic
2024-04-06T17:16:32.817558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 17
27.4%
1 6
 
9.7%
3 2
 
3.2%
5 2
 
3.2%
4 2
 
3.2%
19 2
 
3.2%
51 2
 
3.2%
189 2
 
3.2%
102 1
 
1.6%
37 1
 
1.6%
Other values (25) 25
40.3%
ValueCountFrequency (%)
0 17
27.4%
1 6
 
9.7%
2 1
 
1.6%
3 2
 
3.2%
4 2
 
3.2%
5 2
 
3.2%
6 1
 
1.6%
7 1
 
1.6%
19 2
 
3.2%
21 1
 
1.6%
ValueCountFrequency (%)
458 1
1.6%
198 1
1.6%
189 2
3.2%
159 1
1.6%
148 1
1.6%
102 1
1.6%
94 1
1.6%
90 1
1.6%
81 1
1.6%
79 1
1.6%

전라남도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.27419
Minimum0
Maximum859
Zeros13
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:33.150267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median52
Q3152
95-th percentile664.55
Maximum859
Range859
Interquartile range (IQR)151

Descriptive statistics

Standard deviation211.45741
Coefficient of variation (CV)1.5517054
Kurtosis2.8732536
Mean136.27419
Median Absolute Deviation (MAD)52
Skewness1.9123315
Sum8449
Variance44714.235
MonotonicityNot monotonic
2024-04-06T17:16:33.451175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 13
 
21.0%
1 4
 
6.5%
3 2
 
3.2%
9 2
 
3.2%
5 2
 
3.2%
123 1
 
1.6%
561 1
 
1.6%
374 1
 
1.6%
499 1
 
1.6%
219 1
 
1.6%
Other values (34) 34
54.8%
ValueCountFrequency (%)
0 13
21.0%
1 4
 
6.5%
2 1
 
1.6%
3 2
 
3.2%
5 2
 
3.2%
7 1
 
1.6%
9 2
 
3.2%
10 1
 
1.6%
13 1
 
1.6%
18 1
 
1.6%
ValueCountFrequency (%)
859 1
1.6%
717 1
1.6%
715 1
1.6%
670 1
1.6%
561 1
1.6%
499 1
1.6%
473 1
1.6%
423 1
1.6%
374 1
1.6%
359 1
1.6%

전라남도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.596774
Minimum0
Maximum311
Zeros21
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:33.705733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.5
Q395.75
95-th percentile179.75
Maximum311
Range311
Interquartile range (IQR)95.75

Descriptive statistics

Standard deviation77.746216
Coefficient of variation (CV)1.3498363
Kurtosis2.0218872
Mean57.596774
Median Absolute Deviation (MAD)17.5
Skewness1.5416013
Sum3571
Variance6044.4741
MonotonicityNot monotonic
2024-04-06T17:16:34.005421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 21
33.9%
1 4
 
6.5%
2 2
 
3.2%
59 1
 
1.6%
55 1
 
1.6%
26 1
 
1.6%
311 1
 
1.6%
279 1
 
1.6%
167 1
 
1.6%
116 1
 
1.6%
Other values (28) 28
45.2%
ValueCountFrequency (%)
0 21
33.9%
1 4
 
6.5%
2 2
 
3.2%
7 1
 
1.6%
9 1
 
1.6%
10 1
 
1.6%
17 1
 
1.6%
18 1
 
1.6%
20 1
 
1.6%
26 1
 
1.6%
ValueCountFrequency (%)
311 1
1.6%
284 1
1.6%
279 1
1.6%
180 1
1.6%
175 1
1.6%
167 1
1.6%
160 1
1.6%
153 1
1.6%
147 1
1.6%
145 1
1.6%

경상북도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309.29032
Minimum0
Maximum2706
Zeros7
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:34.564051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.75
median45
Q3376.75
95-th percentile1578.6
Maximum2706
Range2706
Interquartile range (IQR)373

Descriptive statistics

Standard deviation608.50635
Coefficient of variation (CV)1.9674277
Kurtosis7.9485267
Mean309.29032
Median Absolute Deviation (MAD)44
Skewness2.8515084
Sum19176
Variance370279.98
MonotonicityNot monotonic
2024-04-06T17:16:34.872802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 7
 
11.3%
3 5
 
8.1%
1 2
 
3.2%
12 2
 
3.2%
2 2
 
3.2%
26 2
 
3.2%
45 2
 
3.2%
300 1
 
1.6%
321 1
 
1.6%
439 1
 
1.6%
Other values (37) 37
59.7%
ValueCountFrequency (%)
0 7
11.3%
1 2
 
3.2%
2 2
 
3.2%
3 5
8.1%
6 1
 
1.6%
7 1
 
1.6%
10 1
 
1.6%
11 1
 
1.6%
12 2
 
3.2%
17 1
 
1.6%
ValueCountFrequency (%)
2706 1
1.6%
2591 1
1.6%
2387 1
1.6%
1580 1
1.6%
1552 1
1.6%
810 1
1.6%
799 1
1.6%
655 1
1.6%
519 1
1.6%
482 1
1.6%

경상북도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.62903
Minimum0
Maximum2162
Zeros12
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:35.211719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median20
Q3185.5
95-th percentile732.75
Maximum2162
Range2162
Interquartile range (IQR)184.25

Descriptive statistics

Standard deviation348.67154
Coefficient of variation (CV)2.1051354
Kurtosis18.616964
Mean165.62903
Median Absolute Deviation (MAD)20
Skewness3.9164845
Sum10269
Variance121571.84
MonotonicityNot monotonic
2024-04-06T17:16:35.895689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 12
 
19.4%
1 4
 
6.5%
3 3
 
4.8%
5 2
 
3.2%
227 1
 
1.6%
354 1
 
1.6%
194 1
 
1.6%
262 1
 
1.6%
144 1
 
1.6%
420 1
 
1.6%
Other values (35) 35
56.5%
ValueCountFrequency (%)
0 12
19.4%
1 4
 
6.5%
2 1
 
1.6%
3 3
 
4.8%
4 1
 
1.6%
5 2
 
3.2%
9 1
 
1.6%
10 1
 
1.6%
12 1
 
1.6%
13 1
 
1.6%
ValueCountFrequency (%)
2162 1
1.6%
1280 1
1.6%
823 1
1.6%
742 1
1.6%
557 1
1.6%
448 1
1.6%
422 1
1.6%
420 1
1.6%
364 1
1.6%
354 1
1.6%

경상남도_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.59677
Minimum0
Maximum1124
Zeros7
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:36.161298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.25
median47
Q3242.75
95-th percentile693.2
Maximum1124
Range1124
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation233.96794
Coefficient of variation (CV)1.4478503
Kurtosis4.9618646
Mean161.59677
Median Absolute Deviation (MAD)47
Skewness2.1293423
Sum10019
Variance54740.999
MonotonicityNot monotonic
2024-04-06T17:16:36.507648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
11.3%
7 3
 
4.8%
1 2
 
3.2%
13 2
 
3.2%
6 2
 
3.2%
16 2
 
3.2%
259 1
 
1.6%
70 1
 
1.6%
113 1
 
1.6%
441 1
 
1.6%
Other values (40) 40
64.5%
ValueCountFrequency (%)
0 7
11.3%
1 2
 
3.2%
3 1
 
1.6%
5 1
 
1.6%
6 2
 
3.2%
7 3
4.8%
8 1
 
1.6%
11 1
 
1.6%
13 2
 
3.2%
15 1
 
1.6%
ValueCountFrequency (%)
1124 1
1.6%
840 1
1.6%
769 1
1.6%
704 1
1.6%
488 1
1.6%
460 1
1.6%
441 1
1.6%
402 1
1.6%
387 1
1.6%
374 1
1.6%

경상남도_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.919355
Minimum0
Maximum721
Zeros9
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:36.875272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median28
Q3112
95-th percentile406.85
Maximum721
Range721
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation144.42904
Coefficient of variation (CV)1.5712582
Kurtosis7.4170709
Mean91.919355
Median Absolute Deviation (MAD)28
Skewness2.6102521
Sum5699
Variance20859.747
MonotonicityNot monotonic
2024-04-06T17:16:37.188137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 9
 
14.5%
16 3
 
4.8%
1 2
 
3.2%
4 2
 
3.2%
7 2
 
3.2%
10 2
 
3.2%
8 2
 
3.2%
2 2
 
3.2%
72 2
 
3.2%
26 2
 
3.2%
Other values (34) 34
54.8%
ValueCountFrequency (%)
0 9
14.5%
1 2
 
3.2%
2 2
 
3.2%
4 2
 
3.2%
5 1
 
1.6%
7 2
 
3.2%
8 2
 
3.2%
10 2
 
3.2%
13 1
 
1.6%
14 1
 
1.6%
ValueCountFrequency (%)
721 1
1.6%
587 1
1.6%
465 1
1.6%
410 1
1.6%
347 1
1.6%
281 1
1.6%
248 1
1.6%
190 1
1.6%
175 1
1.6%
174 1
1.6%
Distinct38
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.58065
Minimum0
Maximum2151
Zeros19
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:37.513750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.5
Q3348.75
95-th percentile1089.95
Maximum2151
Range2151
Interquartile range (IQR)348.75

Descriptive statistics

Standard deviation475.08779
Coefficient of variation (CV)1.9035442
Kurtosis6.0637327
Mean249.58065
Median Absolute Deviation (MAD)8.5
Skewness2.4532378
Sum15474
Variance225708.41
MonotonicityNot monotonic
2024-04-06T17:16:37.841830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 19
30.6%
3 3
 
4.8%
2 3
 
4.8%
5 2
 
3.2%
19 2
 
3.2%
1390 1
 
1.6%
390 1
 
1.6%
475 1
 
1.6%
364 1
 
1.6%
927 1
 
1.6%
Other values (28) 28
45.2%
ValueCountFrequency (%)
0 19
30.6%
2 3
 
4.8%
3 3
 
4.8%
4 1
 
1.6%
5 2
 
3.2%
6 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
9 1
 
1.6%
19 2
 
3.2%
ValueCountFrequency (%)
2151 1
1.6%
1983 1
1.6%
1390 1
1.6%
1090 1
1.6%
1089 1
1.6%
1086 1
1.6%
1001 1
1.6%
927 1
1.6%
505 1
1.6%
475 1
1.6%
Distinct25
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.403226
Minimum0
Maximum908
Zeros26
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:38.237808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q319.5
95-th percentile546.1
Maximum908
Range908
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation203.1959
Coefficient of variation (CV)2.5590383
Kurtosis9.0372099
Mean79.403226
Median Absolute Deviation (MAD)1
Skewness3.0673846
Sum4923
Variance41288.572
MonotonicityNot monotonic
2024-04-06T17:16:38.610422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 26
41.9%
1 6
 
9.7%
2 4
 
6.5%
4 2
 
3.2%
34 2
 
3.2%
6 2
 
3.2%
9 2
 
3.2%
554 1
 
1.6%
103 1
 
1.6%
396 1
 
1.6%
Other values (15) 15
24.2%
ValueCountFrequency (%)
0 26
41.9%
1 6
 
9.7%
2 4
 
6.5%
4 2
 
3.2%
5 1
 
1.6%
6 2
 
3.2%
7 1
 
1.6%
8 1
 
1.6%
9 2
 
3.2%
18 1
 
1.6%
ValueCountFrequency (%)
908 1
1.6%
900 1
1.6%
704 1
1.6%
554 1
1.6%
396 1
1.6%
357 1
1.6%
314 1
1.6%
224 1
1.6%
126 1
1.6%
103 1
1.6%

미정_신고금액(백만불)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean894.24194
Minimum0
Maximum6014
Zeros2
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:38.909475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.05
Q130.25
median75.5
Q31037.5
95-th percentile4167.35
Maximum6014
Range6014
Interquartile range (IQR)1007.25

Descriptive statistics

Standard deviation1491.3815
Coefficient of variation (CV)1.6677606
Kurtosis2.2924346
Mean894.24194
Median Absolute Deviation (MAD)71
Skewness1.7884065
Sum55443
Variance2224218.6
MonotonicityNot monotonic
2024-04-06T17:16:39.261793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 3
 
4.8%
33 2
 
3.2%
1 2
 
3.2%
0 2
 
3.2%
44 2
 
3.2%
2 2
 
3.2%
3 1
 
1.6%
2268 1
 
1.6%
525 1
 
1.6%
1006 1
 
1.6%
Other values (45) 45
72.6%
ValueCountFrequency (%)
0 2
3.2%
1 2
3.2%
2 2
3.2%
3 1
1.6%
6 1
1.6%
11 1
1.6%
12 1
1.6%
17 1
1.6%
19 1
1.6%
20 1
1.6%
ValueCountFrequency (%)
6014 1
1.6%
4804 1
1.6%
4568 1
1.6%
4172 1
1.6%
4079 1
1.6%
3657 1
1.6%
3386 1
1.6%
3203 1
1.6%
2509 1
1.6%
2369 1
1.6%

미정_도착금액(백만불)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.435484
Minimum0
Maximum159
Zeros16
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:16:39.592195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median2
Q39.75
95-th percentile43
Maximum159
Range159
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation24.43769
Coefficient of variation (CV)2.1370053
Kurtosis22.217477
Mean11.435484
Median Absolute Deviation (MAD)2
Skewness4.2196204
Sum709
Variance597.20069
MonotonicityNot monotonic
2024-04-06T17:16:39.832803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 16
25.8%
1 9
14.5%
2 7
11.3%
3 5
 
8.1%
4 4
 
6.5%
43 2
 
3.2%
37 2
 
3.2%
5 2
 
3.2%
6 2
 
3.2%
79 1
 
1.6%
Other values (12) 12
19.4%
ValueCountFrequency (%)
0 16
25.8%
1 9
14.5%
2 7
11.3%
3 5
 
8.1%
4 4
 
6.5%
5 2
 
3.2%
6 2
 
3.2%
9 1
 
1.6%
10 1
 
1.6%
11 1
 
1.6%
ValueCountFrequency (%)
159 1
1.6%
79 1
1.6%
47 1
1.6%
43 2
3.2%
37 2
3.2%
33 1
1.6%
26 1
1.6%
25 1
1.6%
23 1
1.6%
19 1
1.6%

Sample

연도전체_신고금액(백만불)전체_도착금액(백만불)서울특별시_신고금액(백만불)서울특별시_도착금액(백만불)인천광역시_신고금액(백만불)인천광역시_도착금액(백만불)경기도_신고금액(백만불)경기도_도착금액(백만불)부산광역시_신고금액(백만불)부산광역시_도착금액(백만불)대구광역시_신고금액(백만불)대구광역시_도착금액(백만불)광주광역시_신고금액(백만불)광주광역시_도착금액(백만불)대전광역시_신고금액(백만불)대전광역시_도착금액(백만불)울산광역시_신고금액(백만불)울산광역시_도착금액(백만불)세종특별자치시_신고금액(백만불)세종특별자치시_도착금액(백만불)강원도_신고금액(백만불)강원도_도착금액(백만불)충청북도_신고금액(백만불)충청북도_도착금액(백만불)충청남도_신고금액(백만불)충청남도_도착금액(백만불)전라북도_신고금액(백만불)전라북도_도착금액(백만불)전라남도_신고금액(백만불)전라남도_도착금액(백만불)경상북도_신고금액(백만불)경상북도_도착금액(백만불)경상남도_신고금액(백만불)경상남도_도착금액(백만불)제주특별자치도_신고금액(백만불)제주특별자치도_도착금액(백만불)미정_신고금액(백만불)미정_도착금액(백만불)
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연도전체_신고금액(백만불)전체_도착금액(백만불)서울특별시_신고금액(백만불)서울특별시_도착금액(백만불)인천광역시_신고금액(백만불)인천광역시_도착금액(백만불)경기도_신고금액(백만불)경기도_도착금액(백만불)부산광역시_신고금액(백만불)부산광역시_도착금액(백만불)대구광역시_신고금액(백만불)대구광역시_도착금액(백만불)광주광역시_신고금액(백만불)광주광역시_도착금액(백만불)대전광역시_신고금액(백만불)대전광역시_도착금액(백만불)울산광역시_신고금액(백만불)울산광역시_도착금액(백만불)세종특별자치시_신고금액(백만불)세종특별자치시_도착금액(백만불)강원도_신고금액(백만불)강원도_도착금액(백만불)충청북도_신고금액(백만불)충청북도_도착금액(백만불)충청남도_신고금액(백만불)충청남도_도착금액(백만불)전라북도_신고금액(백만불)전라북도_도착금액(백만불)전라남도_신고금액(백만불)전라남도_도착금액(백만불)경상북도_신고금액(백만불)경상북도_도착금액(백만불)경상남도_신고금액(백만불)경상남도_도착금액(백만불)제주특별자치도_신고금액(백만불)제주특별자치도_도착금액(백만불)미정_신고금액(백만불)미정_도착금액(백만불)
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